{ "cells": [ { "cell_type": "code", "execution_count": 34, "id": "8eade275", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial Data Inspection:\n", "\n", "First 5 rows of the dataset:\n", " Name Platform Year_of_Release Genre Publisher \\\n", "0 Wii Sports Wii 2006.0 Sports Nintendo \n", "1 Super Mario Bros. NES 1985.0 Platform Nintendo \n", "2 Mario Kart Wii Wii 2008.0 Racing Nintendo \n", "3 Wii Sports Resort Wii 2009.0 Sports Nintendo \n", "4 Pokemon Red/Pokemon Blue GB 1996.0 Role-Playing Nintendo \n", "\n", " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales Critic_Score \\\n", "0 41.36 28.96 3.77 8.45 82.53 76.0 \n", "1 29.08 3.58 6.81 0.77 40.24 NaN \n", "2 15.68 12.76 3.79 3.29 35.52 82.0 \n", "3 15.61 10.93 3.28 2.95 32.77 80.0 \n", "4 11.27 8.89 10.22 1.00 31.37 NaN \n", "\n", " Critic_Count User_Score User_Count Developer Rating \n", "0 51.0 8 322.0 Nintendo E \n", "1 NaN NaN NaN NaN NaN \n", "2 73.0 8.3 709.0 Nintendo E \n", "3 73.0 8 192.0 Nintendo E \n", "4 NaN NaN NaN NaN NaN \n", "\n", "Last 5 rows of the dataset:\n", " Name Platform Year_of_Release Genre \\\n", "16714 Samurai Warriors: Sanada Maru PS3 2016.0 Action \n", "16715 LMA Manager 2007 X360 2006.0 Sports \n", "16716 Haitaka no Psychedelica PSV 2016.0 Adventure \n", "16717 Spirits & Spells GBA 2003.0 Platform \n", "16718 Winning Post 8 2016 PSV 2016.0 Simulation \n", "\n", " Publisher NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales \\\n", "16714 Tecmo Koei 0.00 0.00 0.01 0.0 0.01 \n", "16715 Codemasters 0.00 0.01 0.00 0.0 0.01 \n", "16716 Idea Factory 0.00 0.00 0.01 0.0 0.01 \n", "16717 Wanadoo 0.01 0.00 0.00 0.0 0.01 \n", "16718 Tecmo Koei 0.00 0.00 0.01 0.0 0.01 \n", "\n", " Critic_Score Critic_Count User_Score User_Count Developer Rating \n", "16714 NaN NaN NaN NaN NaN NaN \n", "16715 NaN NaN NaN NaN NaN NaN \n", "16716 NaN NaN NaN NaN NaN NaN \n", "16717 NaN NaN NaN NaN NaN NaN \n", "16718 NaN NaN NaN NaN NaN NaN \n", "\n", "Shape of the dataset (Rows, Columns): (16719, 16)\n", "\n", "Summary of the DataFrame:\n", "\n", "RangeIndex: 16719 entries, 0 to 16718\n", "Data columns (total 16 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Name 16717 non-null object \n", " 1 Platform 16719 non-null object \n", " 2 Year_of_Release 16450 non-null float64\n", " 3 Genre 16717 non-null object \n", " 4 Publisher 16665 non-null object \n", " 5 NA_Sales 16719 non-null float64\n", " 6 EU_Sales 16719 non-null float64\n", " 7 JP_Sales 16719 non-null float64\n", " 8 Other_Sales 16719 non-null float64\n", " 9 Global_Sales 16719 non-null float64\n", " 10 Critic_Score 8137 non-null float64\n", " 11 Critic_Count 8137 non-null float64\n", " 12 User_Score 10015 non-null object \n", " 13 User_Count 7590 non-null float64\n", " 14 Developer 10096 non-null object \n", " 15 Rating 9950 non-null object \n", "dtypes: float64(9), object(7)\n", "memory usage: 2.0+ MB\n", "\n", "Data Types of Each Column:\n", "Name object\n", "Platform object\n", "Year_of_Release float64\n", "Genre object\n", "Publisher object\n", "NA_Sales float64\n", "EU_Sales float64\n", "JP_Sales float64\n", "Other_Sales float64\n", "Global_Sales float64\n", "Critic_Score float64\n", "Critic_Count float64\n", "User_Score object\n", "User_Count float64\n", "Developer object\n", "Rating object\n", "dtype: object\n", "\n", "Descriptive Statistics for Numerical Columns:\n", " Year_of_Release NA_Sales EU_Sales JP_Sales \\\n", "count 16450.000000 16719.000000 16719.000000 16719.000000 \n", "mean 2006.487356 0.263330 0.145025 0.077602 \n", "std 5.878995 0.813514 0.503283 0.308818 \n", "min 1980.000000 0.000000 0.000000 0.000000 \n", "25% 2003.000000 0.000000 0.000000 0.000000 \n", "50% 2007.000000 0.080000 0.020000 0.000000 \n", "75% 2010.000000 0.240000 0.110000 0.040000 \n", "max 2020.000000 41.360000 28.960000 10.220000 \n", "\n", " Other_Sales Global_Sales Critic_Score Critic_Count User_Count \n", "count 16719.000000 16719.000000 8137.000000 8137.000000 7590.000000 \n", "mean 0.047332 0.533543 68.967679 26.360821 162.229908 \n", "std 0.186710 1.547935 13.938165 18.980495 561.282326 \n", "min 0.000000 0.010000 13.000000 3.000000 4.000000 \n", "25% 0.000000 0.060000 60.000000 12.000000 10.000000 \n", "50% 0.010000 0.170000 71.000000 21.000000 24.000000 \n", "75% 0.030000 0.470000 79.000000 36.000000 81.000000 \n", "max 10.570000 82.530000 98.000000 113.000000 10665.000000 \n" ] } ], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "df = pd.read_csv('vgsales.csv')\n", "\n", "print(\"Initial Data Inspection:\")\n", "\n", "print(\"\\nFirst 5 rows of the dataset:\")\n", "print(df.head())\n", "\n", "print(\"\\nLast 5 rows of the dataset:\")\n", "print(df.tail())\n", "\n", "print(\"\\nShape of the dataset (Rows, Columns):\", df.shape)\n", "\n", "print(\"\\nSummary of the DataFrame:\")\n", "df.info()\n", "\n", "print(\"\\nData Types of Each Column:\")\n", "print(df.dtypes)\n", "\n", "print(\"\\nDescriptive Statistics for Numerical Columns:\")\n", "print(df.describe())\n" ] }, { "cell_type": "markdown", "id": "dc862a75", "metadata": {}, "source": [ "import pandas as pd: This imports the pandas library, a powerful tool for data analysis and manipulation, and gives it the alias pd.\n", "\n", "import seaborn as sns: This imports the seaborn library, used for making statistical graphics in Python, and gives it the alias sns.\n", "\n", "import matplotlib.pyplot as plt: This imports the matplotlib's pyplot module, which provides a MATLAB-like interface for making plots and graphs, and gives it the alias plt.\n", "\n", "df = pd.read_csv('vgsales.csv'): This line reads a CSV file named 'vgsales.csv' into a DataFrame called df. A DataFrame is a 2-dimensional labeled data structure with columns that can be of different types.\n", "\n", "print(\"Initial Data Inspection:\"): This line prints a statement indicating the beginning of the initial data inspection process.\n", "\n", "print(\"\\nFirst 5 rows of the dataset:\"): This prints a new line followed by a statement that the next output will show the first 5 rows of the dataset.\n", "\n", "print(df.head()): df.head() displays the first 5 rows of the DataFrame df. This is helpful to get a quick overview of the dataset's structure and data.\n", "\n", "print(\"\\nLast 5 rows of the dataset:\"): This prints a new line and a statement indicating that the next output will show the last 5 rows of the dataset.\n", "\n", "print(df.tail()): df.tail() displays the last 5 rows of the DataFrame df. This can be useful to see how the dataset ends and to ensure it has been read correctly.\n", "\n", "print(\"\\nShape of the dataset (Rows, Columns):\", df.shape): This prints the shape of the DataFrame df, showing the number of rows and columns, helping understand the dataset's size.\n", "\n", "print(\"\\nSummary of the DataFrame:\"): This prints a statement that the next output will provide a summary of the DataFrame.\n", "\n", "df.info(): This line outputs a concise summary of the DataFrame, including the number of non-null entries for each column, which is useful for identifying missing values.\n", "\n", "print(\"\\nData Types of Each Column:\"): This prints a statement that the next output will show the data types of each column in the DataFrame.\n", "\n", "print(df.dtypes): This displays the data types of each column in df, which is important for data processing and analysis.\n", "\n", "print(\"\\nDescriptive Statistics for Numerical Columns:\"): This prints a statement indicating that the next output will show descriptive statistics for numerical columns.\n", "\n", "print(df.describe()): This line outputs descriptive statistics that summarize the central tendency, dispersion, and shape of the dataset’s distribution, excluding NaN values. This is particularly useful for understanding the numerical columns' distribution." ] }, { "cell_type": "code", "execution_count": 35, "id": "8e177290", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial Data Inspection:\n", "\n", "First 5 rows of the dataset:\n", " Name Platform Year_of_Release Genre Publisher \\\n", "0 Wii Sports Wii 2006.0 Sports Nintendo \n", "1 Super Mario Bros. NES 1985.0 Platform Nintendo \n", "2 Mario Kart Wii Wii 2008.0 Racing Nintendo \n", "3 Wii Sports Resort Wii 2009.0 Sports Nintendo \n", "4 Pokemon Red/Pokemon Blue GB 1996.0 Role-Playing Nintendo \n", "\n", " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales Critic_Score \\\n", "0 41.36 28.96 3.77 8.45 82.53 76.0 \n", "1 29.08 3.58 6.81 0.77 40.24 NaN \n", "2 15.68 12.76 3.79 3.29 35.52 82.0 \n", "3 15.61 10.93 3.28 2.95 32.77 80.0 \n", "4 11.27 8.89 10.22 1.00 31.37 NaN \n", "\n", " Critic_Count User_Score User_Count Developer Rating \n", "0 51.0 8 322.0 Nintendo E \n", "1 NaN NaN NaN NaN NaN \n", "2 73.0 8.3 709.0 Nintendo E \n", "3 73.0 8 192.0 Nintendo E \n", "4 NaN NaN NaN NaN NaN \n", "\n", "Last 5 rows of the dataset:\n", " Name Platform Year_of_Release Genre \\\n", "16714 Samurai Warriors: Sanada Maru PS3 2016.0 Action \n", "16715 LMA Manager 2007 X360 2006.0 Sports \n", "16716 Haitaka no Psychedelica PSV 2016.0 Adventure \n", "16717 Spirits & Spells GBA 2003.0 Platform \n", "16718 Winning Post 8 2016 PSV 2016.0 Simulation \n", "\n", " Publisher NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales \\\n", "16714 Tecmo Koei 0.00 0.00 0.01 0.0 0.01 \n", "16715 Codemasters 0.00 0.01 0.00 0.0 0.01 \n", "16716 Idea Factory 0.00 0.00 0.01 0.0 0.01 \n", "16717 Wanadoo 0.01 0.00 0.00 0.0 0.01 \n", "16718 Tecmo Koei 0.00 0.00 0.01 0.0 0.01 \n", "\n", " Critic_Score Critic_Count User_Score User_Count Developer Rating \n", "16714 NaN NaN NaN NaN NaN NaN \n", "16715 NaN NaN NaN NaN NaN NaN \n", "16716 NaN NaN NaN NaN NaN NaN \n", "16717 NaN NaN NaN NaN NaN NaN \n", "16718 NaN NaN NaN NaN NaN NaN \n", "\n", "Shape of the dataset (Rows, Columns): (16719, 16)\n", "\n", "Summary of the DataFrame:\n", "\n", "RangeIndex: 16719 entries, 0 to 16718\n", "Data columns (total 16 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Name 16717 non-null object \n", " 1 Platform 16719 non-null object \n", " 2 Year_of_Release 16450 non-null float64\n", " 3 Genre 16717 non-null object \n", " 4 Publisher 16665 non-null object \n", " 5 NA_Sales 16719 non-null float64\n", " 6 EU_Sales 16719 non-null float64\n", " 7 JP_Sales 16719 non-null float64\n", " 8 Other_Sales 16719 non-null float64\n", " 9 Global_Sales 16719 non-null float64\n", " 10 Critic_Score 8137 non-null float64\n", " 11 Critic_Count 8137 non-null float64\n", " 12 User_Score 10015 non-null object \n", " 13 User_Count 7590 non-null float64\n", " 14 Developer 10096 non-null object \n", " 15 Rating 9950 non-null object \n", "dtypes: float64(9), object(7)\n", "memory usage: 2.0+ MB\n", "\n", "Data Types of Each Column:\n", "Name object\n", "Platform object\n", "Year_of_Release float64\n", "Genre object\n", "Publisher object\n", "NA_Sales float64\n", "EU_Sales float64\n", "JP_Sales float64\n", "Other_Sales float64\n", "Global_Sales float64\n", "Critic_Score float64\n", "Critic_Count float64\n", "User_Score object\n", "User_Count float64\n", "Developer object\n", "Rating object\n", "dtype: object\n", "\n", "Descriptive Statistics for Numerical Columns:\n", " Year_of_Release NA_Sales EU_Sales JP_Sales \\\n", "count 16450.000000 16719.000000 16719.000000 16719.000000 \n", "mean 2006.487356 0.263330 0.145025 0.077602 \n", "std 5.878995 0.813514 0.503283 0.308818 \n", "min 1980.000000 0.000000 0.000000 0.000000 \n", "25% 2003.000000 0.000000 0.000000 0.000000 \n", "50% 2007.000000 0.080000 0.020000 0.000000 \n", "75% 2010.000000 0.240000 0.110000 0.040000 \n", "max 2020.000000 41.360000 28.960000 10.220000 \n", "\n", " Other_Sales Global_Sales Critic_Score Critic_Count User_Count \n", "count 16719.000000 16719.000000 8137.000000 8137.000000 7590.000000 \n", "mean 0.047332 0.533543 68.967679 26.360821 162.229908 \n", "std 0.186710 1.547935 13.938165 18.980495 561.282326 \n", "min 0.000000 0.010000 13.000000 3.000000 4.000000 \n", "25% 0.000000 0.060000 60.000000 12.000000 10.000000 \n", "50% 0.010000 0.170000 71.000000 21.000000 24.000000 \n", "75% 0.030000 0.470000 79.000000 36.000000 81.000000 \n", "max 10.570000 82.530000 98.000000 113.000000 10665.000000 \n" ] } ], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "# Load the dataset\n", "df = pd.read_csv('vgsales.csv')\n", "\n", "# Initial Data Inspection\n", "print(\"Initial Data Inspection:\")\n", "\n", "# Display the first 5 rows to understand the dataset's structure\n", "print(\"\\nFirst 5 rows of the dataset:\")\n", "print(df.head())\n", "\n", "# Display the last 5 rows to see the end part of the dataset\n", "print(\"\\nLast 5 rows of the dataset:\")\n", "print(df.tail())\n", "\n", "# Display the shape of the dataset to know the number of rows and columns\n", "print(\"\\nShape of the dataset (Rows, Columns):\", df.shape)\n", "\n", "# Use df.info() for a concise summary of the DataFrame\n", "print(\"\\nSummary of the DataFrame:\")\n", "df.info()\n", "\n", "# Display data types of each column for data type understanding\n", "print(\"\\nData Types of Each Column:\")\n", "print(df.dtypes)\n", "\n", "# Display descriptive statistics to understand the distribution of numerical columns\n", "print(\"\\nDescriptive Statistics for Numerical Columns:\")\n", "print(df.describe())\n" ] }, { "cell_type": "code", "execution_count": 36, "id": "4f7afe61", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Name Platform Year_of_Release Genre Publisher \\\n", "0 Wii Sports Wii 2006 Sports Nintendo \n", "1 Super Mario Bros. NES 1985 Platform Nintendo \n", "2 Mario Kart Wii Wii 2008 Racing Nintendo \n", "3 Wii Sports Resort Wii 2009 Sports Nintendo \n", "4 Pokemon Red/Pokemon Blue GB 1996 Role-Playing Nintendo \n", "\n", " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales Critic_Score \\\n", "0 41.36 28.96 3.77 8.45 82.53 76.0 \n", "1 29.08 3.58 6.81 0.77 40.24 NaN \n", "2 15.68 12.76 3.79 3.29 35.52 82.0 \n", "3 15.61 10.93 3.28 2.95 32.77 80.0 \n", "4 11.27 8.89 10.22 1.00 31.37 NaN \n", "\n", " Critic_Count User_Score User_Count Developer Rating Console_Brand \n", "0 51 8.0 322 Nintendo E Nintendo \n", "1 0 NaN 0 NaN NaN Nintendo \n", "2 73 8.3 709 Nintendo E Nintendo \n", "3 73 8.0 192 Nintendo E Nintendo \n", "4 0 NaN 0 NaN NaN Nintendo \n", "\n", "Missing values in the dataset after cleaning:\n", "Name 0\n", "Platform 0\n", "Year_of_Release 0\n", "Genre 0\n", "Publisher 0\n", "NA_Sales 0\n", "EU_Sales 0\n", "JP_Sales 0\n", "Other_Sales 0\n", "Global_Sales 0\n", "Critic_Score 8465\n", "Critic_Count 0\n", "User_Score 8985\n", "User_Count 0\n", "Developer 6541\n", "Rating 6679\n", "Console_Brand 399\n", "dtype: int64\n" ] } ], "source": [ "import pandas as pd\n", "\n", "df = df.dropna(subset=['Year_of_Release'])\n", "df['Year_of_Release'] = df['Year_of_Release'].astype(int)\n", "\n", "df = df.dropna(subset=['Name'])\n", "\n", "platform_brand_mapping = {\n", " 'Wii': 'Nintendo', 'NES': 'Nintendo', 'GB': 'Nintendo', 'DS': 'Nintendo', 'SNES': 'Nintendo',\n", " '3DS': 'Nintendo', 'N64': 'Nintendo', 'GBA': 'Nintendo', 'GC': 'Nintendo', 'WiiU': 'Nintendo', 'Switch': 'Nintendo',\n", " 'PS': 'Sony', 'PS2': 'Sony', 'PS3': 'Sony', 'PS4': 'Sony', 'PSP': 'Sony', 'PSV': 'Sony',\n", " 'X360': 'Microsoft', 'XB': 'Microsoft', 'XOne': 'Microsoft',\n", " 'PC': 'PC', # \n", "}\n", "\n", "df['Console_Brand'] = df['Platform'].map(platform_brand_mapping)\n", "\n", "df['User_Score'] = pd.to_numeric(df['User_Score'], errors='coerce')\n", "\n", "df['Critic_Count'] = df['Critic_Count'].fillna(0).astype(int)\n", "df['User_Count'] = df['User_Count'].fillna(0).astype(int)\n", "\n", "df['Publisher'].fillna('Unknown', inplace=True)\n", "\n", "print(df.head())\n", "\n", "print(\"\\nMissing values in the dataset after cleaning:\")\n", "print(df.isnull().sum())\n" ] }, { "cell_type": "markdown", "id": "67475d6d", "metadata": {}, "source": [ "3-4. Convert 'Year_of_Release' from float to integer:\n", "\n", "df = df.dropna(subset=['Year_of_Release']): Drops rows where the 'Year_of_Release' value is missing (NaN) to ensure that only rows with valid years are converted to integers.\n", "df['Year_of_Release'] = df['Year_of_Release'].astype(int): Converts the 'Year_of_Release' column from float to integer data type. This step is valid after removing NaN values, as NaN is considered a float, and integers cannot represent NaN.\n", "\n", "Drop rows where 'Name' is missing:\n", "\n", "df = df.dropna(subset=['Name']): Removes rows from the DataFrame where the 'Name' column has missing values. The 'Name' column is crucial for identifying games, so rows without this information are not useful for analysis.\n", "8-13. Define the mapping from platform to console brand:\n", "\n", "A dictionary named platform_brand_mapping is defined, where keys are game platform codes (like 'Wii', 'PS4', etc.) and values are the corresponding console brands ('Nintendo', 'Sony', etc.). This mapping is used to categorize games by the brand of their console.\n", "\n", "Map 'Platform' to 'Console_Brand':\n", "\n", "df['Console_Brand'] = df['Platform'].map(platform_brand_mapping): Creates a new column 'Console_Brand' in the DataFrame by mapping each 'Platform' value to its corresponding console brand using the platform_brand_mapping dictionary.\n", "\n", "Convert 'User_Score' to numeric:\n", "\n", "df['User_Score'] = pd.to_numeric(df['User_Score'], errors='coerce'): Converts the 'User_Score' column to a numeric type. The errors='coerce' parameter ensures that any values that cannot be converted to numeric (like strings or special characters) are set to NaN, handling potential data quality issues gracefully.\n", "\n", "19-20. Fill missing values in 'Critic_Count' and 'User_Count':\n", "\n", "Missing values in 'Critic_Count' and 'User_Count' are filled with 0, assuming that a missing count equates to no reviews. These columns are then converted to integer data type, as counts are discrete values.\n", "\n", "Replace missing 'Publisher' values with 'Unknown':\n", "df['Publisher'].fillna('Unknown', inplace=True): Missing values in the 'Publisher' column are replaced with the string 'Unknown'. This maintains data integrity by ensuring there are no missing values in this column, which could be important for analysis.\n", "\n", "Display the first 5 rows:\n", "print(df.head()): Prints the first 5 rows of the DataFrame to confirm the changes made during the data cleaning process.\n", "26-27. Check for remaining missing values:\n", "\n", "The remaining missing values in the DataFrame are checked and printed. This helps in assessing the cleanliness of the dataset after the applied transformations and in deciding if further cleaning is needed." ] }, { "cell_type": "code", "execution_count": 37, "id": "fba6e786", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Name Platform Year_of_Release Genre Publisher \\\n", "0 Wii Sports Wii 2006 Sports Nintendo \n", "1 Super Mario Bros. NES 1985 Platform Nintendo \n", "2 Mario Kart Wii Wii 2008 Racing Nintendo \n", "3 Wii Sports Resort Wii 2009 Sports Nintendo \n", "4 Pokemon Red/Pokemon Blue GB 1996 Role-Playing Nintendo \n", "\n", " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales Critic_Score \\\n", "0 41.36 28.96 3.77 8.45 82.53 76.0 \n", "1 29.08 3.58 6.81 0.77 40.24 NaN \n", "2 15.68 12.76 3.79 3.29 35.52 82.0 \n", "3 15.61 10.93 3.28 2.95 32.77 80.0 \n", "4 11.27 8.89 10.22 1.00 31.37 NaN \n", "\n", " Critic_Count User_Score User_Count Developer Rating Console_Brand \n", "0 51 8.0 322 Nintendo E Nintendo \n", "1 0 NaN 0 NaN NaN Nintendo \n", "2 73 8.3 709 Nintendo E Nintendo \n", "3 73 8.0 192 Nintendo E Nintendo \n", "4 0 NaN 0 NaN NaN Nintendo \n", "\n", "Statistical details of the dataset (excluding 'Year_of_Release'):\n", " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales \\\n", "count 16447.000000 16447.000000 16447.000000 16447.000000 16447.000000 \n", "mean 0.263981 0.145903 0.078476 0.047586 0.536202 \n", "std 0.818308 0.506674 0.311073 0.187989 1.558502 \n", "min 0.000000 0.000000 0.000000 0.000000 0.010000 \n", "25% 0.000000 0.000000 0.000000 0.000000 0.060000 \n", "50% 0.080000 0.020000 0.000000 0.010000 0.170000 \n", "75% 0.240000 0.110000 0.040000 0.030000 0.470000 \n", "max 41.360000 28.960000 10.220000 10.570000 82.530000 \n", "\n", " Critic_Score Critic_Count User_Score User_Count \n", "count 8551.000000 16447.000000 8551.000000 16447.000000 \n", "mean 69.026180 12.832675 5.953759 73.963702 \n", "std 13.458964 18.708601 5.286127 388.389327 \n", "min 13.000000 0.000000 -40.074108 0.000000 \n", "25% 61.000000 0.000000 5.900000 0.000000 \n", "50% 70.374108 0.000000 7.300000 0.000000 \n", "75% 79.000000 21.000000 8.200000 20.000000 \n", "max 98.000000 113.000000 26.925892 10665.000000 \n" ] } ], "source": [ "df.dropna(subset=['Name', 'Genre'], inplace=True)\n", "\n", "df['Publisher'].fillna('Unknown', inplace=True)\n", "\n", "df['User_Score'] = pd.to_numeric(df['User_Score'], errors='coerce')\n", "\n", "valid_scores = df.dropna(subset=['User_Score', 'Critic_Score'])\n", "average_diff = (valid_scores['User_Score'] - valid_scores['Critic_Score']).mean()\n", "\n", "missing_user = df['User_Score'].isnull() & df['Critic_Score'].notnull()\n", "df.loc[missing_user, 'User_Score'] = df['Critic_Score'] + average_diff\n", "\n", "missing_critic = df['Critic_Score'].isnull() & df['User_Score'].notnull()\n", "df.loc[missing_critic, 'Critic_Score'] = df['User_Score'] - average_diff\n", "\n", "df = df.drop_duplicates(subset=['Name', 'Year_of_Release', 'Platform'])\n", "\n", "print(df.head())\n", "\n", "statistical_details = df.drop(columns='Year_of_Release').describe()\n", "\n", "print(\"\\nStatistical details of the dataset (excluding 'Year_of_Release'):\")\n", "print(statistical_details)\n" ] }, { "cell_type": "markdown", "id": "559b3044", "metadata": {}, "source": [ "Remove rows where 'Name' or 'Genre' is missing:\n", "\n", "df.dropna(subset=['Name', 'Genre'], inplace=True): This line removes any rows where either 'Name' or 'Genre' is missing, as these are likely crucial for any analysis involving game titles or categorizations.\n", "Replace missing 'Publisher' values with 'Unknown':\n", "\n", "df['Publisher'].fillna('Unknown', inplace=True): Fills in missing 'Publisher' values with the string 'Unknown', ensuring that there are no missing values in this column which could be important for categorizing or identifying games.\n", "Convert 'User_Score' to numeric:\n", "\n", "df['User_Score'] = pd.to_numeric(df['User_Score'], errors='coerce'): Converts the 'User_Score' column to a numeric data type, setting any non-numeric values to NaN. This is crucial for any numerical analysis or operations involving user scores.\n", "4-5. Calculate the average difference where both scores are present:\n", "\n", "These lines first filter rows where both 'User_Score' and 'Critic_Score' are present. Then, it calculates the average difference between these scores, which will be used to impute missing values in the next steps.\n", "6-7. Impute missing User_Scores:\n", "\n", "Missing 'User_Score' values are imputed by adding the calculated average difference to the 'Critic_Score'. This assumes that the relationship between user and critic scores is consistent enough to use for imputation.\n", "8-9. Impute missing Critic_Scores:\n", "\n", "Similarly, missing 'Critic_Score' values are imputed by subtracting the average difference from the 'User_Score'. This maintains the assumed consistency between the two types of scores.\n", "Remove duplicates:\n", "\n", "df = df.drop_duplicates(subset=['Name', 'Year_of_Release', 'Platform']): Removes duplicate entries based on the combination of 'Name', 'Year_of_Release', and 'Platform', ensuring that each game-platform-year combination is unique in the dataset.\n", "Display the DataFrame:\n", "\n", "print(df.head()): Prints the first 5 rows of the DataFrame to confirm the changes made by the cleaning process.\n", "14-15. Exclude 'Year_of_Release' from the statistical summary:\n", "- The 'Year_of_Release' column is excluded from the statistical summary because it might not be meaningful to include it in descriptive statistics like mean, standard deviation, etc. The .describe() method then provides a summary of the remaining columns, typically focusing on numerical ones.\n", "\n", "17-18. Print statistical details:\n", "- Prints the statistical details of the dataset, excluding 'Year_of_Release', providing insights into the central tendency, dispersion, and shape of the dataset’s distribution for the numerical columns." ] }, { "cell_type": "code", "execution_count": 38, "id": "baba32ef", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== Data Cleaning and Preparation ===\n", "\n", "\n", "Confirmed Changes - First 5 Rows:\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 NamePlatformYear_of_ReleaseGenrePublisherNA_SalesEU_SalesJP_SalesOther_SalesGlobal_SalesCritic_ScoreCritic_CountUser_ScoreUser_CountDeveloperRatingConsole_Brand
0Wii SportsWii2006SportsNintendo41.36000028.9600003.7700008.45000082.53000076.000000518.000000322NintendoENintendo
1Super Mario Bros.NES1985PlatformNintendo29.0800003.5800006.8100000.77000040.240000nan0nan0nannanNintendo
2Mario Kart WiiWii2008RacingNintendo15.68000012.7600003.7900003.29000035.52000082.000000738.300000709NintendoENintendo
3Wii Sports ResortWii2009SportsNintendo15.61000010.9300003.2800002.95000032.77000080.000000738.000000192NintendoENintendo
4Pokemon Red/Pokemon BlueGB1996Role-PlayingNintendo11.2700008.89000010.2200001.00000031.370000nan0nan0nannanNintendo
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Statistical Details (Excluding 'Year_of_Release'):\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\1336875849.py:26: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.format(precision=..)`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 NA_SalesEU_SalesJP_SalesOther_SalesGlobal_SalesCritic_ScoreCritic_CountUser_ScoreUser_Count
count16447.0016447.0016447.0016447.0016447.008551.0016447.008551.0016447.00
mean0.260.150.080.050.5469.0312.835.9573.96
std0.820.510.310.191.5613.4618.715.29388.39
min0.000.000.000.000.0113.000.00-40.070.00
25%0.000.000.000.000.0661.000.005.900.00
50%0.080.020.000.010.1770.370.007.300.00
75%0.240.110.040.030.4779.0021.008.2020.00
max41.3628.9610.2210.5782.5398.00113.0026.9310665.00
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"\\n=== Data Cleaning and Preparation ===\\n\")\n", "\n", "df.dropna(subset=['Name', 'Genre'], inplace=True)\n", "\n", "df['Publisher'].fillna('Unknown', inplace=True)\n", "\n", "df['User_Score'] = pd.to_numeric(df['User_Score'], errors='coerce')\n", "\n", "valid_scores = df.dropna(subset=['User_Score', 'Critic_Score'])\n", "average_diff = (valid_scores['User_Score'] - valid_scores['Critic_Score']).mean()\n", "\n", "missing_user = df['User_Score'].isnull() & df['Critic_Score'].notnull()\n", "df.loc[missing_user, 'User_Score'] = df['Critic_Score'] + average_diff\n", "\n", "missing_critic = df['Critic_Score'].isnull() & df['User_Score'].notnull()\n", "df.loc[missing_critic, 'Critic_Score'] = df['User_Score'] - average_diff\n", "\n", "df = df.drop_duplicates(subset=['Name', 'Year_of_Release', 'Platform'])\n", "\n", "print(\"\\nConfirmed Changes - First 5 Rows:\")\n", "display(df.head().style.set_properties(**{'background-color': 'lavender', 'color': 'black'}))\n", "\n", "statistical_details = df.drop(columns='Year_of_Release').describe()\n", "\n", "print(\"\\nStatistical Details (Excluding 'Year_of_Release'):\")\n", "display(statistical_details.style.background_gradient(cmap='coolwarm').set_precision(2))\n", "\n" ] }, { "cell_type": "markdown", "id": "4aec1f8a", "metadata": {}, "source": [ "Start of Data Cleaning and Preparation:\n", "The print statement \"\\n=== Data Cleaning and Preparation ===\\n\" serves as a header to mark the beginning of this phase, providing clear segmentation in the output.\n", "2-3. Remove rows with missing 'Name' or 'Genre':\n", "\n", "Rows where either 'Name' or 'Genre' is missing are removed from the DataFrame, as these fields are essential for identifying and categorizing the games.\n", "4-5. Replace missing 'Publisher' values:\n", "\n", "Missing values in the 'Publisher' column are filled with 'Unknown', ensuring every game has an associated publisher, even if it's not specified.\n", "6-7. Convert 'User_Score' to numeric:\n", "\n", "The 'User_Score' column is converted to numeric values, with any non-numeric values being set to NaN. This allows for numerical operations and analyses to be performed on user scores.\n", "8-9. Calculate the average difference between scores:\n", "\n", "The average difference between 'User_Score' and 'Critic_Score' is calculated for rows where both scores are present. This value will be used for imputing missing scores in subsequent steps.\n", "10-11. Impute missing User_Scores:\n", "\n", "For rows with a missing 'User_Score' but a present 'Critic_Score', the missing 'User_Score' is imputed by adding the previously calculated average difference to the 'Critic_Score'.\n", "12-13. Impute missing Critic_Scores:\n", "\n", "Similarly, for rows with a missing 'Critic_Score' but a present 'User_Score', the missing 'Critic_Score' is imputed by subtracting the average difference from the 'User_Score'.\n", "14-15. Remove duplicates:\n", "\n", "Duplicate rows based on 'Name', 'Year_of_Release', and 'Platform' are removed, ensuring each row in the DataFrame represents a unique game-platform-year combination.\n", "Display the DataFrame with styled output:\n", "The first 5 rows of the cleaned DataFrame are displayed with a styled output, using lavender background and black text color for better readability and visual distinction.\n", "19-20. Exclude 'Year_of_Release' from statistical summary:\n", "\n", "A statistical summary of the DataFrame, excluding the 'Year_of_Release' column, is prepared. The 'Year_of_Release' is likely excluded because it doesn't provide meaningful descriptive statistics like mean or standard deviation.\n", "Print statistical details with improved formatting:\n", "The statistical details are displayed with a background gradient color scheme from the 'coolwarm' colormap and numerical precision set to 2 decimal places. This enhanced formatting makes the statistical summary more visually appealing and easier to interpret.\n" ] }, { "cell_type": "code", "execution_count": 39, "id": "082e114e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Name Platform Year_of_Release Genre Publisher \\\n", "0 Wii Sports Wii 2006 Sports Nintendo \n", "1 Super Mario Bros. NES 1985 Platform Nintendo \n", "2 Mario Kart Wii Wii 2008 Racing Nintendo \n", "3 Wii Sports Resort Wii 2009 Sports Nintendo \n", "4 Pokemon Red/Pokemon Blue GB 1996 Role-Playing Nintendo \n", "\n", " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales Critic_Score \\\n", "0 41.36 28.96 3.77 8.45 82.53 76.0 \n", "1 29.08 3.58 6.81 0.77 40.24 NaN \n", "2 15.68 12.76 3.79 3.29 35.52 82.0 \n", "3 15.61 10.93 3.28 2.95 32.77 80.0 \n", "4 11.27 8.89 10.22 1.00 31.37 NaN \n", "\n", " Critic_Count User_Score User_Count Developer Rating Console_Brand \n", "0 51 8.0 322 Nintendo E Nintendo \n", "1 0 NaN 0 NaN NaN Nintendo \n", "2 73 8.3 709 Nintendo E Nintendo \n", "3 73 8.0 192 Nintendo E Nintendo \n", "4 0 NaN 0 NaN NaN Nintendo \n", "\n", "--- Exploratory Data Analysis (EDA) ---\n", "\n", "Statistical details of the dataset (excluding 'Year_of_Release'):\n", " NA_Sales EU_Sales JP_Sales Other_Sales Global_Sales \\\n", "count 16447.000000 16447.000000 16447.000000 16447.000000 16447.000000 \n", "mean 0.263981 0.145903 0.078476 0.047586 0.536202 \n", "std 0.818308 0.506674 0.311073 0.187989 1.558502 \n", "min 0.000000 0.000000 0.000000 0.000000 0.010000 \n", "25% 0.000000 0.000000 0.000000 0.000000 0.060000 \n", "50% 0.080000 0.020000 0.000000 0.010000 0.170000 \n", "75% 0.240000 0.110000 0.040000 0.030000 0.470000 \n", "max 41.360000 28.960000 10.220000 10.570000 82.530000 \n", "\n", " Critic_Score Critic_Count User_Score User_Count \n", "count 8551.000000 16447.000000 8551.000000 16447.000000 \n", "mean 69.026180 12.832675 5.953759 73.963702 \n", "std 13.458964 18.708601 5.286127 388.389327 \n", "min 13.000000 0.000000 -40.074108 0.000000 \n", "25% 61.000000 0.000000 5.900000 0.000000 \n", "50% 70.374108 0.000000 7.300000 0.000000 \n", "75% 79.000000 21.000000 8.200000 20.000000 \n", "max 98.000000 113.000000 26.925892 10665.000000 \n", "\n", "Number of games per platform:\n", "PS2 2127\n", "DS 2122\n", "PS3 1305\n", "Wii 1286\n", "X360 1232\n", "PSP 1193\n", "PS 1190\n", "PC 957\n", "GBA 811\n", "XB 803\n", "GC 542\n", "3DS 512\n", "PSV 431\n", "PS4 393\n", "N64 316\n", "XOne 247\n", "SNES 239\n", "SAT 173\n", "WiiU 147\n", "2600 116\n", "NES 98\n", "GB 97\n", "DC 52\n", "GEN 27\n", "NG 12\n", "SCD 6\n", "WS 6\n", "3DO 3\n", "TG16 2\n", "GG 1\n", "PCFX 1\n", "Name: Platform, dtype: int64\n" ] } ], "source": [ "print(df.head())\n", "\n", "print(\"\\n--- Exploratory Data Analysis (EDA) ---\")\n", "\n", "statistical_details = df.drop(columns='Year_of_Release').describe()\n", "print(\"\\nStatistical details of the dataset (excluding 'Year_of_Release'):\")\n", "print(statistical_details)\n", "\n", "platform_counts = df['Platform'].value_counts()\n", "print(\"\\nNumber of games per platform:\")\n", "print(platform_counts)" ] }, { "cell_type": "markdown", "id": "44d7ab62", "metadata": {}, "source": [ "print(df.head()): This line prints the first 5 rows of the DataFrame df. This is a common practice to quickly get a sense of the data's structure, including the column names and types of data contained in each column.\n", "\n", "print(\"\\n--- Exploratory Data Analysis (EDA) ---\"): This prints a header to indicate the start of the exploratory data analysis section. EDA is a crucial step in data analysis, where you summarize the main characteristics of the data, often with visual methods.\n", "\n", "3-4. Statistical details excluding 'Year_of_Release':\n", "\n", "The df.drop(columns='Year_of_Release').describe() part of the code generates statistical summaries for all numerical columns in the DataFrame except 'Year_of_Release'. The .describe() method provides descriptive statistics that summarize the central tendency, dispersion, and shape of the dataset's distribution, excluding NaN values.\n", "The resulting statistical details are printed out. This summary typically includes count, mean, standard deviation, minimum, 25th percentile (Q1), median (50th percentile, Q2), 75th percentile (Q3), and maximum values for each numerical column.\n", "5-6. Number of games per platform:\n", "\n", "platform_counts = df['Platform'].value_counts(): This line counts the number of occurrences (games) for each unique value in the 'Platform' column of the DataFrame, effectively giving a distribution of the number of games available on each platform.\n", "The print(\"\\nNumber of games per platform:\") followed by print(platform_counts) prints out these counts, showing which platforms have the most games, which can be useful for understanding trends or biases in the data towards certain gaming platforms." ] }, { "cell_type": "code", "execution_count": 40, "id": "e023394f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== Exploratory Data Analysis (EDA) ===\n", "\n", "Dataset Preview - First 5 Rows:\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 NamePlatformYear_of_ReleaseGenrePublisherNA_SalesEU_SalesJP_SalesOther_SalesGlobal_SalesCritic_ScoreCritic_CountUser_ScoreUser_CountDeveloperRatingConsole_Brand
0Wii SportsWii2006SportsNintendo41.36000028.9600003.7700008.45000082.53000076.000000518.000000322NintendoENintendo
1Super Mario Bros.NES1985PlatformNintendo29.0800003.5800006.8100000.77000040.240000nan0nan0nannanNintendo
2Mario Kart WiiWii2008RacingNintendo15.68000012.7600003.7900003.29000035.52000082.000000738.300000709NintendoENintendo
3Wii Sports ResortWii2009SportsNintendo15.61000010.9300003.2800002.95000032.77000080.000000738.000000192NintendoENintendo
4Pokemon Red/Pokemon BlueGB1996Role-PlayingNintendo11.2700008.89000010.2200001.00000031.370000nan0nan0nannanNintendo
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Statistical Details (Excluding 'Year_of_Release'):\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\3464526511.py:13: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.format(precision=..)`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 NA_SalesEU_SalesJP_SalesOther_SalesGlobal_SalesCritic_ScoreCritic_CountUser_ScoreUser_Count
count16447.0016447.0016447.0016447.0016447.008551.0016447.008551.0016447.00
mean0.260.150.080.050.5469.0312.835.9573.96
std0.820.510.310.191.5613.4618.715.29388.39
min0.000.000.000.000.0113.000.00-40.070.00
25%0.000.000.000.000.0661.000.005.900.00
50%0.080.020.000.010.1770.370.007.300.00
75%0.240.110.040.030.4779.0021.008.2020.00
max41.3628.9610.2210.5782.5398.00113.0026.9310665.00
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Number of Games per Platform:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\3464526511.py:19: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.hide(axis=\"index\")`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
PlatformCount
PS22127
DS2122
PS31305
Wii1286
X3601232
PSP1193
PS1190
PC957
GBA811
XB803
GC542
3DS512
PSV431
PS4393
N64316
XOne247
SNES239
SAT173
WiiU147
2600116
NES98
GB97
DC52
GEN27
NG12
SCD6
WS6
3DO3
TG162
GG1
PCFX1
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Exploratory Data Analysis (EDA)\n", "print(\"\\n=== Exploratory Data Analysis (EDA) ===\\n\")\n", "\n", "# Display the first 5 rows with styled output\n", "print(\"Dataset Preview - First 5 Rows:\")\n", "display(df.head().style.set_properties(**{'background-color': 'lightblue', 'color': 'black'}))\n", "\n", "# Exclude 'Year_of_Release' from the statistical summary\n", "statistical_details = df.drop(columns='Year_of_Release').describe()\n", "\n", "# Print the statistical details of the dataset excluding 'Year_of_Release' with improved readability\n", "print(\"\\nStatistical Details (Excluding 'Year_of_Release'):\")\n", "display(statistical_details.style.background_gradient(cmap='viridis').set_precision(2))\n", "\n", "# Number of games per platform with styled output\n", "platform_counts = df['Platform'].value_counts()\n", "print(\"\\nNumber of Games per Platform:\")\n", "platform_counts_df = platform_counts.reset_index().rename(columns={'index': 'Platform', 'Platform': 'Count'})\n", "display(platform_counts_df.style.set_properties(**{'background-color': 'lightgreen', 'color': 'black'}).hide_index())\n" ] }, { "cell_type": "markdown", "id": "f5914f62", "metadata": {}, "source": [ "Start of EDA Section:\n", "\n", "print(\"\\n=== Exploratory Data Analysis (EDA) ===\\n\"): This print statement serves as a header to clearly mark the beginning of the exploratory data analysis part of the script, setting the stage for the analysis to follow.\n", "Dataset Preview:\n", "\n", "The first 5 rows of the DataFrame df are displayed with a styled output. The style is set to have a lightblue background and black text color, enhancing readability and visual appeal. This provides a quick glance at the dataset's structure, including column names and sample data.\n", "Statistical Summary Excluding 'Year_of_Release':\n", "\n", "The code first excludes the 'Year_of_Release' column from the statistical summary because it might not provide meaningful descriptive statistics like mean or standard deviation. Then, the .describe() method is used to generate a summary for the remaining columns, typically focusing on numerical ones.\n", "The statistical details are then printed with enhanced readability, applying a viridis color gradient and setting numerical precision to 2 decimal places. This makes the summary more visually engaging and easier to interpret.\n", "Number of Games per Platform:\n", "\n", "The number of games per platform is calculated using the value_counts() method on the 'Platform' column, giving an insight into the distribution of games across different gaming platforms.\n", "This distribution is converted into a DataFrame for better presentation (platform_counts_df). The DataFrame is then styled with a lightgreen background and black text color, and the index is hidden to emphasize the data over the DataFrame's default indexing. This styled output provides a clear and visually appealing view of how many games are available per platform, highlighting the most and least popular platforms in the dataset." ] }, { "cell_type": "code", "execution_count": 41, "id": "a2a82a09", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--- Genre Analysis ---\n", "\n", "Number of games per genre:\n", "Action 3308\n", "Sports 2305\n", "Misc 1721\n", "Role-Playing 1483\n", "Shooter 1296\n", "Adventure 1293\n", "Racing 1226\n", "Platform 878\n", "Simulation 858\n", "Fighting 837\n", "Strategy 673\n", "Puzzle 569\n", "Name: Genre, dtype: int64\n", "\n", "Global Genre Popularity:\n", " Genre Global_Genre_Popularity\n", "0 Action 1717.63\n", "1 Sports 1310.38\n", "2 Shooter 1041.83\n", "3 Role-Playing 930.90\n", "4 Platform 825.86\n", "5 Misc 790.94\n", "6 Racing 723.70\n", "7 Fighting 442.63\n", "8 Simulation 388.40\n", "9 Puzzle 240.33\n", "10 Adventure 233.46\n", "11 Strategy 172.85\n", "\n", "EU Genre Popularity:\n", " Genre EU_Genre_Popularity\n", "0 Action 510.99\n", "1 Sports 371.32\n", "2 Shooter 314.52\n", "3 Racing 234.49\n", "4 Misc 210.60\n", "5 Platform 199.39\n", "6 Role-Playing 188.24\n", "7 Simulation 113.35\n", "8 Fighting 99.00\n", "9 Adventure 63.20\n", "10 Puzzle 49.78\n", "11 Strategy 44.79\n", "\n", "JP Genre Popularity:\n", " Genre JP_Genre_Popularity\n", "0 Role-Playing 353.44\n", "1 Action 160.15\n", "2 Sports 134.93\n", "3 Platform 130.71\n", "4 Misc 107.02\n", "5 Fighting 87.28\n", "6 Simulation 63.64\n", "7 Puzzle 56.68\n", "8 Racing 56.63\n", "9 Adventure 52.24\n", "10 Strategy 49.30\n", "11 Shooter 38.68\n", "\n", "--- Series Installment Calculation ---\n", " Name Platform Year_of_Release \\\n", "14985 Beyblade Burst 3DS 2016 \n", "1079 Fire Emblem Fates 3DS 2015 \n", "3358 Frozen: Olaf's Quest 3DS 2013 \n", "3862 Frozen: Olaf's Quest DS 2013 \n", "13795 Haikyu!! Cross Team Match! 3DS 2016 \n", "\n", " Series_Installment \n", "14985 1 \n", "1079 1 \n", "3358 1 \n", "3862 1 \n", "13795 1 \n", "\n", "--- Market Share Calculation ---\n", " NA_Sales EU_Sales JP_Sales Global_Sales\n", "Genre \n", "Action 19.880968 21.294178 12.407996 19.476670\n", "Adventure 2.338260 2.633695 4.047416 2.647266\n", "Fighting 5.078898 4.125567 6.762222 5.019101\n", "Misc 9.203098 8.776207 8.291625 8.968682\n", "Platform 10.236567 8.309059 10.127063 9.364649\n", "Puzzle 2.789927 2.074452 4.391416 2.725167\n", "Racing 8.219380 9.771760 4.387542 8.206230\n", "Role-Playing 7.601648 7.844412 27.383590 10.555726\n", "Shooter 13.470100 13.106802 2.996823 11.813591\n", "Simulation 4.161283 4.723566 4.930658 4.404172\n", "Sports 15.459418 15.473794 10.454017 14.858752\n", "Strategy 1.560452 1.866507 3.819633 1.959993\n" ] } ], "source": [ "\n", "\n", "# Genre Analysis\n", "print(\"\\n--- Genre Analysis ---\")\n", "\n", "genre_counts = df['Genre'].value_counts()\n", "print(\"\\nNumber of games per genre:\")\n", "print(genre_counts)\n", "\n", "global_genre_popularity = df.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False).reset_index()\n", "global_genre_popularity.rename(columns={'Global_Sales': 'Global_Genre_Popularity'}, inplace=True)\n", "\n", "eu_genre_popularity = df.groupby('Genre')['EU_Sales'].sum().sort_values(ascending=False).reset_index()\n", "eu_genre_popularity.rename(columns={'EU_Sales': 'EU_Genre_Popularity'}, inplace=True)\n", "\n", "jp_genre_popularity = df.groupby('Genre')['JP_Sales'].sum().sort_values(ascending=False).reset_index()\n", "jp_genre_popularity.rename(columns={'JP_Sales': 'JP_Genre_Popularity'}, inplace=True)\n", "\n", "print(\"\\nGlobal Genre Popularity:\\n\", global_genre_popularity)\n", "print(\"\\nEU Genre Popularity:\\n\", eu_genre_popularity)\n", "print(\"\\nJP Genre Popularity:\\n\", jp_genre_popularity)\n", "\n", "print(\"\\n--- Series Installment Calculation ---\")\n", "df.sort_values(by=['Name', 'Platform', 'Year_of_Release'], inplace=True)\n", "df['Series_Installment'] = df.groupby(['Name', 'Platform']).cumcount() + 1\n", "print(df[['Name', 'Platform', 'Year_of_Release', 'Series_Installment']].head())\n", "\n", "print(\"\\n--- Market Share Calculation ---\")\n", "total_sales_by_region = df[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "df_genres = df.groupby('Genre')[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "df_genres = df_genres.divide(total_sales_by_region) * 100 # Convert to percentage for market share\n", "print(df_genres)\n" ] }, { "cell_type": "markdown", "id": "9dac2286", "metadata": {}, "source": [ "Genre Analysis Section:\n", "Header: print(\"\\n--- Genre Analysis ---\") marks the beginning of the genre analysis section.\n", "Number of Games per Genre: genre_counts = df['Genre'].value_counts() counts the number of games in each genre, which is then printed. This gives an insight into which genres are most populated with titles in the dataset.\n", "Regional Genre Popularity:\n", "The dataset is grouped by 'Genre' and the sales columns ('Global_Sales', 'EU_Sales', 'JP_Sales') are aggregated to sum up the total sales per genre. This data is sorted in descending order to highlight the most popular genres in terms of sales.\n", "Global Genre Popularity: Shows which genres have sold the most globally.\n", "EU Genre Popularity: Focuses on genre popularity in Europe.\n", "JP Genre Popularity: Focuses on genre popularity in Japan.\n", "These sections provide insights into regional preferences and global popularity by genre, which can inform market strategies and content creation.\n", "Series Installment Calculation:\n", "The dataset is sorted by 'Name', 'Platform', and 'Year_of_Release' to ensure a logical sequence for installment numbering.\n", "df['Series_Installment'] = df.groupby(['Name', 'Platform']).cumcount() + 1 assigns an installment number to each game within its series on a specific platform, starting from 1. This helps identify sequels and their order in the dataset.\n", "A preview of this data is printed, showcasing the new 'Series_Installment' column alongside 'Name', 'Platform', and 'Year_of_Release'.\n", "Market Share Calculation:\n", "total_sales_by_region = df[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum() calculates the total sales in each region and globally.\n", "The dataset is then grouped by 'Genre', and sales are summed up per genre for each region. This sum is divided by the total sales calculated earlier and multiplied by 100 to get the market share percentage of each genre in each region.\n", "This market share data is printed, providing insights into how different genres perform and compete in various markets." ] }, { "cell_type": "code", "execution_count": 42, "id": "c2e8fcd8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== Genre Analysis ===\n", "\n", "\n", "Number of Games per Genre:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\525494124.py:6: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.hide(axis=\"index\")`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
GenreCount
Action3308
Sports2305
Misc1721
Role-Playing1483
Shooter1296
Adventure1293
Racing1226
Platform878
Simulation858
Fighting837
Strategy673
Puzzle569
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\525494124.py:18: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.format(precision=..)`\n", "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Global Genre Popularity:\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 GenreGlobal_Genre_Popularity
0Action1717.63
1Sports1310.38
2Shooter1041.83
3Role-Playing930.90
4Platform825.86
5Misc790.94
6Racing723.70
7Fighting442.63
8Simulation388.40
9Puzzle240.33
10Adventure233.46
11Strategy172.85
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "EU Genre Popularity:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\525494124.py:21: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.format(precision=..)`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 GenreEU_Genre_Popularity
0Action510.99
1Sports371.32
2Shooter314.52
3Racing234.49
4Misc210.60
5Platform199.39
6Role-Playing188.24
7Simulation113.35
8Fighting99.00
9Adventure63.20
10Puzzle49.78
11Strategy44.79
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "JP Genre Popularity:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\525494124.py:24: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.format(precision=..)`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 GenreJP_Genre_Popularity
0Role-Playing353.44
1Action160.15
2Sports134.93
3Platform130.71
4Misc107.02
5Fighting87.28
6Simulation63.64
7Puzzle56.68
8Racing56.63
9Adventure52.24
10Strategy49.30
11Shooter38.68
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== Series Installment Calculation ===\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 NamePlatformYear_of_ReleaseSeries_Installment
14985 Beyblade Burst3DS20161
1079 Fire Emblem Fates3DS20151
3358 Frozen: Olaf's Quest3DS20131
3862 Frozen: Olaf's QuestDS20131
13795 Haikyu!! Cross Team Match!3DS20161
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== Market Share Calculation ===\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\525494124.py:35: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.format(precision=..)`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 NA_SalesEU_SalesJP_SalesGlobal_Sales
Genre    
Action19.8821.2912.4119.48
Adventure2.342.634.052.65
Fighting5.084.136.765.02
Misc9.208.788.298.97
Platform10.248.3110.139.36
Puzzle2.792.074.392.73
Racing8.229.774.398.21
Role-Playing7.607.8427.3810.56
Shooter13.4713.113.0011.81
Simulation4.164.724.934.40
Sports15.4615.4710.4514.86
Strategy1.561.873.821.96
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "print(\"\\n=== Genre Analysis ===\\n\")\n", "\n", "genre_counts = df['Genre'].value_counts()\n", "print(\"\\nNumber of Games per Genre:\")\n", "genre_counts_df = genre_counts.reset_index().rename(columns={'index': 'Genre', 'Genre': 'Count'})\n", "display(genre_counts_df.style.set_properties(**{'background-color': 'lightcoral', 'color': 'black'}).hide_index())\n", "\n", "global_genre_popularity = df.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False).reset_index()\n", "global_genre_popularity.rename(columns={'Global_Sales': 'Global_Genre_Popularity'}, inplace=True)\n", "\n", "eu_genre_popularity = df.groupby('Genre')['EU_Sales'].sum().sort_values(ascending=False).reset_index()\n", "eu_genre_popularity.rename(columns={'EU_Sales': 'EU_Genre_Popularity'}, inplace=True)\n", "\n", "jp_genre_popularity = df.groupby('Genre')['JP_Sales'].sum().sort_values(ascending=False).reset_index()\n", "jp_genre_popularity.rename(columns={'JP_Sales': 'JP_Genre_Popularity'}, inplace=True)\n", "\n", "print(\"\\nGlobal Genre Popularity:\")\n", "display(global_genre_popularity.style.background_gradient(cmap='coolwarm').set_precision(2))\n", "\n", "print(\"\\nEU Genre Popularity:\")\n", "display(eu_genre_popularity.style.background_gradient(cmap='coolwarm').set_precision(2))\n", "\n", "print(\"\\nJP Genre Popularity:\")\n", "display(jp_genre_popularity.style.background_gradient(cmap='coolwarm').set_precision(2))\n", "\n", "print(\"\\n=== Series Installment Calculation ===\\n\")\n", "df.sort_values(by=['Name', 'Platform', 'Year_of_Release'], inplace=True)\n", "df['Series_Installment'] = df.groupby(['Name', 'Platform']).cumcount() + 1\n", "display(df[['Name', 'Platform', 'Year_of_Release', 'Series_Installment']].head().style.set_properties(**{'background-color': 'lavender', 'color': 'black'}))\n", "\n", "print(\"\\n=== Market Share Calculation ===\\n\")\n", "total_sales_by_region = df[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "df_genres = df.groupby('Genre')[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "df_genres = df_genres.divide(total_sales_by_region) * 100 # Convert to percentage for market share\n", "display(df_genres.style.background_gradient(cmap='Spectral').set_precision(2))\n" ] }, { "cell_type": "markdown", "id": "5857121c", "metadata": {}, "source": [ "Genre Analysis:\n", "Introduction: The section starts with a clear header, setting the context for the genre analysis.\n", "Number of Games per Genre: This part presents the count of games in each genre with an improved presentation. The counts are converted into a DataFrame and displayed with a styled output, featuring a lightcoral background and black text for enhanced readability. The index is hidden to focus on the genre and count data.\n", "Global Genre Popularity: Calculates the total global sales per genre and sorts them in descending order to identify the most popular genres worldwide. The results are presented with a gradient color scale for visual appeal.\n", "Regional Genre Popularity: Similar to the global popularity calculation, this part computes and displays the popularity of genres within the European and Japanese markets, using the same visual enhancement for consistency and clarity.\n", "Series Installment Calculation:\n", "Header: Marks the beginning of the series installment calculation section.\n", "The dataset is sorted by 'Name', 'Platform', and 'Year_of_Release' to logically sequence the games.\n", "A 'Series_Installment' column is added to the dataset, indicating the installment number of each game within its series and platform. This provides insight into the sequence of game releases.\n", "The first few rows of the updated dataset are displayed with a styled output, using a lavender background to highlight the new 'Series_Installment' information.\n", "Market Share Calculation:\n", "Introduction: The section begins with a clear header, transitioning to the market share analysis.\n", "Total sales by region are calculated to establish a denominator for market share computation.\n", "The dataset is grouped by 'Genre', and sales are summed up per genre for each region. These sums are then divided by the total sales to calculate the market share percentages.\n", "The market share data is presented with a Spectral color gradient and numerical precision set to 2 decimal places, enhancing the visual interpretation of how different genres fare in terms of market share across regions." ] }, { "cell_type": "code", "execution_count": 43, "id": "c608bc62", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Top 10 Publishers by Sales Performance Score:\n", " Publisher Total_Sales Game_Count \\\n", "387 Palcom 4.17 1 \n", "426 Red Orb 5.24 2 \n", "361 Nintendo 1786.72 700 \n", "40 Arena Entertainment 4.72 2 \n", "524 UEP Systems 2.25 1 \n", "428 RedOctane 8.68 4 \n", "222 Hello Games 1.70 1 \n", "534 Valve 1.70 1 \n", "459 Sony Computer Entertainment Europe 23.37 15 \n", "553 Westwood Studios 1.55 1 \n", "\n", " Sales_Performance_Score \n", "387 4.170000 \n", "426 2.620000 \n", "361 2.552457 \n", "40 2.360000 \n", "524 2.250000 \n", "428 2.170000 \n", "222 1.700000 \n", "534 1.700000 \n", "459 1.558000 \n", "553 1.550000 \n", "\n", "Sample Data with New Metrics:\n", " Name Year_of_Release Genre \\\n", "14985 Beyblade Burst 2016 Role-Playing \n", "1079 Fire Emblem Fates 2015 Role-Playing \n", "3358 Frozen: Olaf's Quest 2013 Platform \n", "3862 Frozen: Olaf's Quest 2013 Platform \n", "13795 Haikyu!! Cross Team Match! 2016 Adventure \n", "\n", " NA_Sales_Percent EU_Sales_Percent JP_Sales_Percent Market_Saturation \n", "14985 0.000000 0.000000 100.000000 54 \n", "1079 48.214286 13.690476 30.952381 78 \n", "3358 45.000000 45.000000 0.000000 36 \n", "3862 40.384615 50.000000 0.000000 36 \n", "13795 0.000000 0.000000 100.000000 56 \n" ] } ], "source": [ "import pandas as pd\n", "\n", "\n", "df['NA_Sales_Percent'] = (df['NA_Sales'] / df['Global_Sales']) * 100\n", "df['EU_Sales_Percent'] = (df['EU_Sales'] / df['Global_Sales']) * 100\n", "df['JP_Sales_Percent'] = (df['JP_Sales'] / df['Global_Sales']) * 100\n", "\n", "total_sales_by_region = df[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "publisher_market_share = df.groupby('Publisher')[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "publisher_market_share = publisher_market_share.divide(total_sales_by_region) * 100 # Convert to percentage\n", "\n", "df['Market_Saturation'] = df.groupby(['Year_of_Release', 'Genre'])['Name'].transform('count')\n", "\n", "df.sort_values(by=['Name', 'Platform', 'Year_of_Release'], inplace=True)\n", "df['Multiplatform_Release'] = df.groupby('Name')['Platform'].transform('nunique')\n", "df['Years_Since_Last_Installment'] = df.groupby('Name')['Year_of_Release'].diff().fillna(0).astype(int)\n", "\n", "publisher_sales = df.groupby('Publisher')['Global_Sales'].sum()\n", "publisher_game_count = df.groupby('Publisher').size()\n", "publisher_performance_score = publisher_sales / publisher_game_count\n", "\n", "publisher_performance = pd.DataFrame({\n", " 'Publisher': publisher_sales.index,\n", " 'Total_Sales': publisher_sales.values,\n", " 'Game_Count': publisher_game_count.values,\n", " 'Sales_Performance_Score': publisher_performance_score.values\n", "})\n", "\n", "\n", "print(\"\\nTop 10 Publishers by Sales Performance Score:\")\n", "print(publisher_performance.sort_values(by='Sales_Performance_Score', ascending=False).head(10))\n", "\n", "print(\"\\nSample Data with New Metrics:\")\n", "print(df[['Name', 'Year_of_Release', 'Genre', 'NA_Sales_Percent', 'EU_Sales_Percent', 'JP_Sales_Percent', 'Market_Saturation']].head())\n" ] }, { "cell_type": "markdown", "id": "44be7753", "metadata": {}, "source": [ "Regional Sales Percentages:\n", "Calculation: For North America (NA), Europe (EU), and Japan (JP), the percentage of sales relative to global sales is calculated for each game. This provides insight into the regional performance of each game relative to its global appeal.\n", "Publisher Market Share:\n", "Total Sales by Region: The sum of sales in NA, EU, JP, and globally is computed, providing a baseline for calculating market share.\n", "Market Share Calculation: The sales sum for each publisher in these regions is calculated and divided by the total sales to determine the market share in percentage. This metric helps identify dominant publishers in various markets.\n", "Market Saturation Metric:\n", "Calculation: The 'Market_Saturation' column is created by counting the number of games released in the same year and genre, indicating how crowded each market segment is.\n", "Multiplatform Release and Years Since Last Installment:\n", "Sorting: The DataFrame is sorted by 'Name', 'Platform', and 'Year_of_Release' to ensure chronological order for each game across platforms.\n", "Multiplatform Release: The number of unique platforms each game is released on is calculated, highlighting games with broad platform distribution.\n", "Years Since Last Installment: The difference in release years between consecutive games of the same name is computed, showing the time gap between sequels or series installments.\n", "Sales Performance Score per Publisher:\n", "Publisher Sales and Game Count: The total global sales and the number of games released by each publisher are calculated.\n", "Performance Score Calculation: The sales performance score for each publisher is computed by dividing total sales by the number of games published. This score is used to evaluate the efficiency or impact of a publisher's portfolio.\n", "Dataframe Creation: A new DataFrame is created to neatly present each publisher's total sales, game count, and sales performance score.\n", "Displaying Results:\n", "Top 10 Publishers by Sales Performance Score: Publishers are sorted by their sales performance score in descending order, and the top 10 are printed. This highlights the most commercially successful publishers relative to the number of games they have released.\n", "Sample Data with New Metrics: A sample of the DataFrame is printed, showcasing the newly calculated metrics like regional sales percentages and market saturation for the first few games.\n" ] }, { "cell_type": "code", "execution_count": 44, "id": "e4156835", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Top 10 Publishers by Sales Performance Score:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\923382921.py:34: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.format(precision=..)`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 PublisherTotal_SalesGame_CountSales_Performance_Score
387Palcom4.1714.17
426Red Orb5.2422.62
361Nintendo1786.727002.55
40Arena Entertainment4.7222.36
524UEP Systems2.2512.25
428RedOctane8.6842.17
222Hello Games1.7011.70
534Valve1.7011.70
459Sony Computer Entertainment Europe23.37151.56
553Westwood Studios1.5511.55
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Sample Data with New Metrics:\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 NameYear_of_ReleaseGenreNA_Sales_PercentEU_Sales_PercentJP_Sales_PercentMarket_Saturation
14985 Beyblade Burst2016Role-Playing0.0000000.000000100.00000054
1079 Fire Emblem Fates2015Role-Playing48.21428613.69047630.95238178
3358 Frozen: Olaf's Quest2013Platform45.00000045.0000000.00000036
3862 Frozen: Olaf's Quest2013Platform40.38461550.0000000.00000036
13795 Haikyu!! Cross Team Match!2016Adventure0.0000000.000000100.00000056
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "sns.set(style=\"whitegrid\")\n", "\n", "\n", "df['NA_Sales_Percent'] = (df['NA_Sales'] / df['Global_Sales']) * 100\n", "df['EU_Sales_Percent'] = (df['EU_Sales'] / df['Global_Sales']) * 100\n", "df['JP_Sales_Percent'] = (df['JP_Sales'] / df['Global_Sales']) * 100\n", "\n", "total_sales_by_region = df[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "publisher_market_share = df.groupby('Publisher')[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "publisher_market_share = publisher_market_share.divide(total_sales_by_region) * 100 # Convert to percentage\n", "\n", "df['Market_Saturation'] = df.groupby(['Year_of_Release', 'Genre'])['Name'].transform('count')\n", "\n", "df.sort_values(by=['Name', 'Platform', 'Year_of_Release'], inplace=True)\n", "df['Multiplatform_Release'] = df.groupby('Name')['Platform'].transform('nunique')\n", "df['Years_Since_Last_Installment'] = df.groupby('Name')['Year_of_Release'].diff().fillna(0).astype(int)\n", "\n", "publisher_sales = df.groupby('Publisher')['Global_Sales'].sum()\n", "publisher_game_count = df.groupby('Publisher').size()\n", "publisher_performance_score = publisher_sales / publisher_game_count\n", "\n", "publisher_performance = pd.DataFrame({\n", " 'Publisher': publisher_sales.index,\n", " 'Total_Sales': publisher_sales.values,\n", " 'Game_Count': publisher_game_count.values,\n", " 'Sales_Performance_Score': publisher_performance_score.values\n", "}).sort_values(by='Sales_Performance_Score', ascending=False)\n", "\n", "print(\"\\nTop 10 Publishers by Sales Performance Score:\")\n", "display(publisher_performance.head(10).style.background_gradient(cmap='PuBu').set_precision(2))\n", "\n", "print(\"\\nSample Data with New Metrics:\")\n", "display(df[['Name', 'Year_of_Release', 'Genre', 'NA_Sales_Percent', 'EU_Sales_Percent', 'JP_Sales_Percent', 'Market_Saturation']].head().style.set_table_styles([{'selector': 'tr:hover', 'props': [('background-color', 'yellow')]}]))\n" ] }, { "cell_type": "markdown", "id": "0f694871", "metadata": {}, "source": [ "Data Manipulation and Metric Calculation:\n", "Regional Sales Percentages: Calculates the percentage of sales from North America, Europe, and Japan relative to global sales for each game.\n", "Publisher Market Share: Computes each publisher's market share in NA, EU, JP, and globally by summing up their sales in these regions, dividing by the total sales in the dataset, and converting the result to percentage.\n", "Market Saturation: Determines the number of games released each year within each genre, providing insight into market competition levels.\n", "Multiplatform Release: Counts the number of unique platforms each game is released on, highlighting multiplatform games.\n", "Years Since Last Installment: Calculates the number of years since the last installment of each game series, useful for tracking franchise development over time.\n", "Publisher Performance Score: Divides the total global sales by the number of games for each publisher, yielding a performance score that reflects sales efficiency.\n", "Presentation of Results:\n", "Top 10 Publishers by Sales Performance Score: Displays a styled DataFrame showing the top 10 publishers ranked by their sales performance score, using a 'PuBu' color gradient for visual appeal and setting precision to 2 decimal places.\n", "Sample Data with New Metrics: Presents a sample of the DataFrame, showcasing the newly calculated metrics with enhanced styling. It includes a table style that changes the background color to yellow when hovering over rows, improving interactivity and user experience." ] }, { "cell_type": "code", "execution_count": 45, "id": "db6beca4", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "sales_by_genre = df.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False)\n", "\n", "plt.figure(figsize=(12, 8))\n", "\n", "sns.barplot(x=sales_by_genre.values, y=sales_by_genre.index, palette='viridis')\n", "plt.title('Global Sales by Genre', fontsize=20)\n", "plt.xlabel('Global Sales (in millions)', fontsize=14)\n", "plt.ylabel('Genre', fontsize=14)\n", "\n", "plt.grid(axis='x', linestyle='--', alpha=0.6)\n", "\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "9392ef09", "metadata": {}, "source": [ "Grouping and Summation: The script starts by grouping the DataFrame df by the 'Genre' column and summing up the 'Global_Sales' for each genre. The result, sales_by_genre, is a Series where each index is a genre and the corresponding value is the total global sales for that genre. This Series is sorted in descending order of sales.\n", "\n", "Figure Setup: plt.figure(figsize=(12, 8)) sets up the figure for plotting, specifying its size as 12 inches by 8 inches.\n", "\n", "Bar Plot: sns.barplot() creates a horizontal bar plot. The x-values represent the global sales figures, and the y-values represent the different genres. The palette='viridis' parameter applies the 'viridis' color palette to the bars, providing a visually appealing gradient.\n", "\n", "Title and Labels: The plot is titled 'Global Sales by Genre', with the x-axis labeled 'Global Sales (in millions)' and the y-axis labeled 'Genre'. The fontsize parameter in plt.title(), plt.xlabel(), and plt.ylabel() adjusts the font size for better readability.\n", "\n", "Grid: plt.grid(axis='x', linestyle='--', alpha=0.6) adds a horizontal grid to the plot with a dashed line style and partial transparency (alpha=0.6). This grid helps in estimating sales values for each genre.\n", "\n", "Display Plot: plt.show() displays the plot. In a Jupyter Notebook environment or similar interactive Python environments, this step might be optional as plots can be automatically rendered after each cell execution." ] }, { "cell_type": "code", "execution_count": 46, "id": "c3e0542c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== Data Cleaning and Feature Engineering ===\n", "\n", "\n", "Top 10 Publishers by Sales Performance Score:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\941504301.py:32: FutureWarning:\n", "\n", "this method is deprecated in favour of `Styler.format(precision=..)`\n", "\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 PublisherTotal_SalesGame_CountSales_Performance_Score
387Palcom4.1714.17
426Red Orb5.2422.62
361Nintendo1786.727002.55
40Arena Entertainment4.7222.36
524UEP Systems2.2512.25
428RedOctane8.6842.17
222Hello Games1.7011.70
534Valve1.7011.70
459Sony Computer Entertainment Europe23.37151.56
553Westwood Studios1.5511.55
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Sample Data with New Metrics:\n" ] }, { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
 NameYear_of_ReleaseGenreNA_Sales_PercentEU_Sales_PercentJP_Sales_PercentMarket_Saturation
14985 Beyblade Burst2016Role-Playing0.0000000.000000100.00000054
1079 Fire Emblem Fates2015Role-Playing48.21428613.69047630.95238178
3358 Frozen: Olaf's Quest2013Platform45.00000045.0000000.00000036
3862 Frozen: Olaf's Quest2013Platform40.38461550.0000000.00000036
13795 Haikyu!! Cross Team Match!2016Adventure0.0000000.000000100.00000056
\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "\n", "\n", "print(\"\\n=== Data Cleaning and Feature Engineering ===\\n\")\n", "\n", "df['NA_Sales_Percent'] = (df['NA_Sales'] / df['Global_Sales']) * 100\n", "df['EU_Sales_Percent'] = (df['EU_Sales'] / df['Global_Sales']) * 100\n", "df['JP_Sales_Percent'] = (df['JP_Sales'] / df['Global_Sales']) * 100\n", "\n", "total_sales_by_region = df[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "publisher_market_share = df.groupby('Publisher')[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Global_Sales']].sum()\n", "publisher_market_share = publisher_market_share.divide(total_sales_by_region) * 100 # Convert to percentage\n", "\n", "df['Market_Saturation'] = df.groupby(['Year_of_Release', 'Genre'])['Name'].transform('count')\n", "\n", "df.sort_values(by=['Name', 'Platform', 'Year_of_Release'], inplace=True)\n", "df['Multiplatform_Release'] = df.groupby('Name')['Platform'].transform('nunique')\n", "df['Years_Since_Last_Installment'] = df.groupby('Name')['Year_of_Release'].diff().fillna(0).astype(int)\n", "\n", "publisher_sales = df.groupby('Publisher')['Global_Sales'].sum()\n", "publisher_game_count = df.groupby('Publisher').size()\n", "publisher_performance_score = publisher_sales / publisher_game_count\n", "\n", "publisher_performance = pd.DataFrame({\n", " 'Publisher': publisher_sales.index,\n", " 'Total_Sales': publisher_sales.values,\n", " 'Game_Count': publisher_game_count.values,\n", " 'Sales_Performance_Score': publisher_performance_score.values\n", "})\n", "\n", "print(\"\\nTop 10 Publishers by Sales Performance Score:\")\n", "display(publisher_performance.sort_values(by='Sales_Performance_Score', ascending=False).head(10).style.background_gradient(cmap='BuPu').set_precision(2))\n", "\n", "print(\"\\nSample Data with New Metrics:\")\n", "display(df[['Name', 'Year_of_Release', 'Genre', 'NA_Sales_Percent', 'EU_Sales_Percent', 'JP_Sales_Percent', 'Market_Saturation']].head().style.set_properties(**{'background-color': 'lavenderblush', 'color': 'black'}))\n" ] }, { "cell_type": "markdown", "id": "4d16ce3d", "metadata": {}, "source": [ "Regional Sales Percentages:\n", "Calculation: For North America (NA), Europe (EU), and Japan (JP), the script calculates the percentage of sales relative to global sales for each game. This metric provides insights into the regional performance of each game.\n", "Publisher Market Share:\n", "Total Sales by Region: The sum of sales in NA, EU, JP, and globally is computed, providing a baseline for calculating market share.\n", "Market Share Calculation: The sales for each publisher in these regions are summed up and then divided by the total sales to calculate the market share in percentage. This helps identify dominant publishers in different markets.\n", "Market Saturation Metric:\n", "Calculation: The 'Market_Saturation' column is added by counting the number of games released in the same year and genre, providing a measure of how crowded each market segment is.\n", "Multiplatform Release and Years Since Last Installment:\n", "Sorting: The DataFrame is sorted by 'Name', 'Platform', and 'Year_of_Release' to ensure a logical sequence for installment numbering.\n", "Multiplatform Release: The number of unique platforms each game is released on is calculated, indicating the breadth of each game's release.\n", "Years Since Last Installment: The time difference in years between consecutive games of the same name is computed, shedding light on sequel or series release patterns.\n", "Sales Performance Score per Publisher:\n", "Publisher Sales and Game Count: The total global sales and the number of games released by each publisher are calculated.\n", "Performance Score: The sales performance score for each publisher is computed by dividing total sales by the number of games published. This score evaluates the average commercial success of a publisher's games.\n", "Publisher Performance DataFrame: A new DataFrame is created to display each publisher's total sales, game count, and sales performance score, sorted by the performance score in descending order.\n", "Displaying Results:\n", "Top 10 Publishers: The top 10 publishers by sales performance score are displayed, highlighting the most efficient publishers in terms of sales per game released.\n", "Sample Data with New Metrics: A sample of the DataFrame is displayed, showcasing the newly calculated metrics for the first few games. The styling with a lavenderblush background enhances readability and visual appeal.\n" ] }, { "cell_type": "code", "execution_count": 47, "id": "a2096fec", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "sales_by_genre = df.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False)\n", "\n", "plt.figure(figsize=(12, 8))\n", "sns.set_style(\"whitegrid\")\n", "\n", "sns.barplot(x=sales_by_genre.values, y=sales_by_genre.index, palette='viridis') \n", "plt.title('Global Sales by Genre', fontsize=20, fontweight='bold', color='navy')\n", "plt.xlabel('Global Sales (in millions)', fontsize=14, fontweight='bold')\n", "plt.ylabel('Genre', fontsize=14, fontweight='bold')\n", "\n", "plt.grid(axis='x', linestyle='--', alpha=0.6)\n", "\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "073099d2", "metadata": {}, "source": [ "Data Preparation: The script begins by grouping the DataFrame df by the 'Genre' column and summing up 'Global_Sales' for each genre. The result, sales_by_genre, is sorted in descending order to prioritize genres with higher sales.\n", "\n", "Figure Setup: plt.figure(figsize=(12, 8)) establishes the size of the plot, making it wide enough to comfortably accommodate the genre names and sales values.\n", "\n", "Seaborn Style: sns.set_style(\"whitegrid\") applies a white grid style to the plot background, offering a clean and uncluttered look that enhances readability.\n", "\n", "Bar Plot: sns.barplot() is used to create the horizontal bar plot, with global sales values as the x-axis and genres as the y-axis. The 'viridis' color palette applies a visually appealing gradient to the bars.\n", "\n", "Titles and Labels: The plot is titled 'Global Sales by Genre', with bold and navy-colored font for emphasis. The x-axis and y-axis labels are also bolded, clearly indicating what the numbers and categories represent.\n", "\n", "Grid Customization: plt.grid(axis='x', linestyle='--', alpha=0.6) adds a dashed horizontal grid to the plot, with partial transparency for subtle guidance on sales values without overwhelming the data presentation.\n", "\n", "Displaying the Plot: plt.show() renders the plot. In interactive environments like Jupyter Notebooks, this might be optional, but it's a necessary call in scripts to ensure the plot is displayed." ] }, { "cell_type": "markdown", "id": "97f02851", "metadata": {}, "source": [ "Top 5 Games by Global Sales" ] }, { "cell_type": "code", "execution_count": 48, "id": "8525397c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Top 5 Games by Global Sales:\n", " Name Global_Sales\n", "0 Wii Sports 82.53\n", "1 Super Mario Bros. 40.24\n", "2 Mario Kart Wii 35.52\n", "3 Wii Sports Resort 32.77\n", "4 Pokemon Red/Pokemon Blue 31.37\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "top_5_games = df.sort_values(by='Global_Sales', ascending=False).head(5)\n", "\n", "print(\"Top 5 Games by Global Sales:\")\n", "print(top_5_games[['Name', 'Global_Sales']])\n", "\n", "top_5_games['Year_of_Release'] = top_5_games['Year_of_Release'].fillna(0).astype(int).astype(str)\n", "\n", "top_5_games['Name_Year'] = top_5_games['Name'] + \" (\" + top_5_games['Year_of_Release'] + \")\"\n", "\n", "plt.figure(figsize=(12, 6))\n", "sns.barplot(x='Global_Sales', y='Name_Year', data=top_5_games, palette='viridis')\n", "\n", "plt.title('Top 5 Games by Global Sales', fontsize=18)\n", "plt.xlabel('Global Sales (in millions)', fontsize=14)\n", "plt.ylabel('Game Name (Year of Release)', fontsize=14)\n", "plt.grid(axis='x', linestyle='--', alpha=0.7)\n", "\n", "for index, value in enumerate(top_5_games['Global_Sales']):\n", " plt.text(value, index, f' {value:.2f}M', va='center', fontsize=12, color='black')\n", "\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "1563fb61", "metadata": {}, "source": [ "Identifying Top 5 Games:\n", "\n", "The DataFrame df is sorted by 'Global_Sales' in descending order, and the top 5 entries are selected and stored in top_5_games.\n", "You print the 'Name' and 'Global_Sales' columns of these top 5 games to provide an immediate textual overview.\n", "Data Preparation:\n", "\n", "The 'Year_of_Release' column is first filled with 0 for missing values, then converted to integer, and finally to string type. This ensures that the years can be combined with game names without issues.\n", "A new column 'Name_Year' is created by concatenating the 'Name' and 'Year_of_Release' columns, formatted to include the game's release year in parentheses. This provides a clear identifier for each game, especially useful if there are games with the same name released in different years.\n", "Plotting:\n", "\n", "A bar plot is created using seaborn's barplot function, setting 'Global_Sales' as the x-axis and the newly created 'Name_Year' as the y-axis. The 'viridis' palette is applied for aesthetic coloring.\n", "The plot is sized at 12x6 inches, providing ample space for readability.\n", "Customization:\n", "\n", "Titles and axis labels are added with custom font sizes, enhancing the plot's readability and providing context. The title specifies that the plot shows the top 5 games by global sales, and the axis labels clearly indicate what the numbers and names represent.\n", "A grid is added along the x-axis with a dashed line style and slight transparency (alpha=0.7), helping estimate sales figures without cluttering the visual.\n", "Annotations:\n", "\n", "A loop iterates over the 'Global_Sales' values of the top 5 games, placing a text annotation next to each bar. This text displays the sales figures in millions, formatted to two decimal places, directly on the plot for easy reference. The va='center' argument vertically aligns the text to the center of each bar, ensuring clarity and neatness.\n", "Displaying the Plot:\n", "\n", "plt.show() renders the plot. This is particularly useful in script environments to ensure the plot is displayed." ] }, { "cell_type": "code", "execution_count": 49, "id": "aafb8ea5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial Data Inspection:\n", "\n", "First 5 rows of the dataset:\n" ] }, { "data": { "text/html": [ "
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NamePlatformYear_of_ReleaseGenrePublisherNA_SalesEU_SalesJP_SalesOther_SalesGlobal_Sales...DeveloperRatingConsole_BrandSeries_InstallmentNA_Sales_PercentEU_Sales_PercentJP_Sales_PercentMarket_SaturationMultiplatform_ReleaseYears_Since_Last_Installment
14985Beyblade Burst3DS2016Role-PlayingFuRyu0.000.000.030.000.03...NaNNaNNintendo10.0000000.000000100.0000005410
1079Fire Emblem Fates3DS2015Role-PlayingNintendo0.810.230.520.111.68...NaNNaNNintendo148.21428613.69047630.9523817810
3358Frozen: Olaf's Quest3DS2013PlatformDisney Interactive Studios0.270.270.000.050.60...NaNNaNNintendo145.00000045.0000000.0000003620
3862Frozen: Olaf's QuestDS2013PlatformDisney Interactive Studios0.210.260.000.040.52...NaNNaNNintendo140.38461550.0000000.0000003620
13795Haikyu!! Cross Team Match!3DS2016AdventureNamco Bandai Games0.000.000.040.000.04...NaNNaNNintendo10.0000000.000000100.0000005610
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5 rows × 24 columns

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" ], "text/plain": [ " Name Platform Year_of_Release Genre \\\n", "14985 Beyblade Burst 3DS 2016 Role-Playing \n", "1079 Fire Emblem Fates 3DS 2015 Role-Playing \n", "3358 Frozen: Olaf's Quest 3DS 2013 Platform \n", "3862 Frozen: Olaf's Quest DS 2013 Platform \n", "13795 Haikyu!! Cross Team Match! 3DS 2016 Adventure \n", "\n", " Publisher NA_Sales EU_Sales JP_Sales Other_Sales \\\n", "14985 FuRyu 0.00 0.00 0.03 0.00 \n", "1079 Nintendo 0.81 0.23 0.52 0.11 \n", "3358 Disney Interactive Studios 0.27 0.27 0.00 0.05 \n", "3862 Disney Interactive Studios 0.21 0.26 0.00 0.04 \n", "13795 Namco Bandai Games 0.00 0.00 0.04 0.00 \n", "\n", " Global_Sales ... Developer Rating Console_Brand \\\n", "14985 0.03 ... NaN NaN Nintendo \n", "1079 1.68 ... NaN NaN Nintendo \n", "3358 0.60 ... NaN NaN Nintendo \n", "3862 0.52 ... NaN NaN Nintendo \n", "13795 0.04 ... NaN NaN Nintendo \n", "\n", " Series_Installment NA_Sales_Percent EU_Sales_Percent JP_Sales_Percent \\\n", "14985 1 0.000000 0.000000 100.000000 \n", "1079 1 48.214286 13.690476 30.952381 \n", "3358 1 45.000000 45.000000 0.000000 \n", "3862 1 40.384615 50.000000 0.000000 \n", "13795 1 0.000000 0.000000 100.000000 \n", "\n", " Market_Saturation Multiplatform_Release Years_Since_Last_Installment \n", "14985 54 1 0 \n", "1079 78 1 0 \n", "3358 36 2 0 \n", "3862 36 2 0 \n", "13795 56 1 0 \n", "\n", "[5 rows x 24 columns]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Last 5 rows of the dataset:\n" ] }, { "data": { "text/html": [ "
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NamePlatformYear_of_ReleaseGenrePublisherNA_SalesEU_SalesJP_SalesOther_SalesGlobal_Sales...DeveloperRatingConsole_BrandSeries_InstallmentNA_Sales_PercentEU_Sales_PercentJP_Sales_PercentMarket_SaturationMultiplatform_ReleaseYears_Since_Last_Installment
16498thinkSMART: Chess for KidsDS2011MiscMentor Interactive0.010.000.000.000.01...Mentor InteractiveENintendo1100.0000000.0000000.018310
645uDraw StudioWii2010MiscTHQ1.650.570.000.202.42...THQENintendo168.18181823.5537190.020110
8281uDraw Studio: Instant ArtistWii2011MiscTHQ0.060.090.000.020.17...THQENintendo135.29411852.9411760.018320
15614uDraw Studio: Instant ArtistX3602011MiscTHQ0.010.010.000.000.02...THQEMicrosoft150.00000050.0000000.018320
9135¡Shin Chan Flipa en colores!DS2007Platform505 Games0.000.000.140.000.14...NaNNaNNintendo10.0000000.000000100.04210
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5 rows × 24 columns

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" ], "text/plain": [ " Name Platform Year_of_Release Genre \\\n", "16498 thinkSMART: Chess for Kids DS 2011 Misc \n", "645 uDraw Studio Wii 2010 Misc \n", "8281 uDraw Studio: Instant Artist Wii 2011 Misc \n", "15614 uDraw Studio: Instant Artist X360 2011 Misc \n", "9135 ¡Shin Chan Flipa en colores! DS 2007 Platform \n", "\n", " Publisher NA_Sales EU_Sales JP_Sales Other_Sales \\\n", "16498 Mentor Interactive 0.01 0.00 0.00 0.00 \n", "645 THQ 1.65 0.57 0.00 0.20 \n", "8281 THQ 0.06 0.09 0.00 0.02 \n", "15614 THQ 0.01 0.01 0.00 0.00 \n", "9135 505 Games 0.00 0.00 0.14 0.00 \n", "\n", " Global_Sales ... Developer Rating Console_Brand \\\n", "16498 0.01 ... Mentor Interactive E Nintendo \n", "645 2.42 ... THQ E Nintendo \n", "8281 0.17 ... THQ E Nintendo \n", "15614 0.02 ... THQ E Microsoft \n", "9135 0.14 ... NaN NaN Nintendo \n", "\n", " Series_Installment NA_Sales_Percent EU_Sales_Percent JP_Sales_Percent \\\n", "16498 1 100.000000 0.000000 0.0 \n", "645 1 68.181818 23.553719 0.0 \n", "8281 1 35.294118 52.941176 0.0 \n", "15614 1 50.000000 50.000000 0.0 \n", "9135 1 0.000000 0.000000 100.0 \n", "\n", " Market_Saturation Multiplatform_Release Years_Since_Last_Installment \n", "16498 183 1 0 \n", "645 201 1 0 \n", "8281 183 2 0 \n", "15614 183 2 0 \n", "9135 42 1 0 \n", "\n", "[5 rows x 24 columns]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Shape of the dataset: 16447 Rows, 24 Columns\n", "\n", "Summary of the DataFrame:\n", "\n", "Int64Index: 16447 entries, 14985 to 9135\n", "Data columns (total 24 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Name 16447 non-null object \n", " 1 Platform 16447 non-null object \n", " 2 Year_of_Release 16447 non-null int32 \n", " 3 Genre 16447 non-null object \n", " 4 Publisher 16447 non-null object \n", " 5 NA_Sales 16447 non-null float64\n", " 6 EU_Sales 16447 non-null float64\n", " 7 JP_Sales 16447 non-null float64\n", " 8 Other_Sales 16447 non-null float64\n", " 9 Global_Sales 16447 non-null float64\n", " 10 Critic_Score 8551 non-null float64\n", " 11 Critic_Count 16447 non-null int32 \n", " 12 User_Score 8551 non-null float64\n", " 13 User_Count 16447 non-null int32 \n", " 14 Developer 9906 non-null object \n", " 15 Rating 9768 non-null object \n", " 16 Console_Brand 16048 non-null object \n", " 17 Series_Installment 16447 non-null int64 \n", " 18 NA_Sales_Percent 16447 non-null float64\n", " 19 EU_Sales_Percent 16447 non-null float64\n", " 20 JP_Sales_Percent 16447 non-null float64\n", " 21 Market_Saturation 16447 non-null int64 \n", " 22 Multiplatform_Release 16447 non-null int64 \n", " 23 Years_Since_Last_Installment 16447 non-null int32 \n", "dtypes: float64(10), int32(4), int64(3), object(7)\n", "memory usage: 2.9+ MB\n", "\n", "Data Types of Each Column:\n", "Name object\n", "Platform object\n", "Year_of_Release int32\n", "Genre object\n", "Publisher object\n", "NA_Sales float64\n", "EU_Sales float64\n", "JP_Sales float64\n", "Other_Sales float64\n", "Global_Sales float64\n", "Critic_Score float64\n", "Critic_Count int32\n", "User_Score float64\n", "User_Count int32\n", "Developer object\n", "Rating object\n", "Console_Brand object\n", "Series_Installment int64\n", "NA_Sales_Percent float64\n", "EU_Sales_Percent float64\n", "JP_Sales_Percent float64\n", "Market_Saturation int64\n", "Multiplatform_Release int64\n", "Years_Since_Last_Installment int32\n", "\n", "Descriptive Statistics for Numerical Columns:\n" ] }, { "data": { "text/html": [ "
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Year_of_ReleaseNA_SalesEU_SalesJP_SalesOther_SalesGlobal_SalesCritic_ScoreCritic_CountUser_ScoreUser_CountSeries_InstallmentNA_Sales_PercentEU_Sales_PercentJP_Sales_PercentMarket_SaturationMultiplatform_ReleaseYears_Since_Last_Installment
count16447.00000016447.00000016447.00000016447.00000016447.00000016447.0000008551.00000016447.0000008551.00000016447.00000016447.00000016447.00000016447.00000016447.00000016447.00000016447.00000016447.000000
mean2006.4886610.2639810.1459030.0784760.0475860.53620269.02618012.8326755.95375973.9637021.00012245.60722722.78145824.479532106.0542962.1040310.003466
std5.8774920.8183080.5066740.3110730.1879891.55850213.45896418.7086015.286127388.3893270.01102734.09490125.10486240.25751172.0780691.5683581.236991
min1980.0000000.0000000.0000000.0000000.0000000.01000013.0000000.000000-40.0741080.0000001.0000000.0000000.0000000.0000001.0000001.000000-24.000000
25%2003.0000000.0000000.0000000.0000000.0000000.06000061.0000000.0000005.9000000.0000001.0000000.0000000.0000000.00000048.0000001.0000000.000000
50%2007.0000000.0800000.0200000.0000000.0100000.17000070.3741080.0000007.3000000.0000001.00000050.00000019.5121950.00000085.0000001.0000000.000000
75%2010.0000000.2400000.1100000.0400000.0300000.47000079.00000021.0000008.20000020.0000001.00000075.00000037.50000037.053001166.0000003.0000000.000000
max2020.00000041.36000028.96000010.22000010.57000082.53000098.000000113.00000026.92589210665.0000002.000000100.000000100.000000100.000000272.00000010.00000034.000000
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" ], "text/plain": [ " Year_of_Release NA_Sales EU_Sales JP_Sales \\\n", "count 16447.000000 16447.000000 16447.000000 16447.000000 \n", "mean 2006.488661 0.263981 0.145903 0.078476 \n", "std 5.877492 0.818308 0.506674 0.311073 \n", "min 1980.000000 0.000000 0.000000 0.000000 \n", "25% 2003.000000 0.000000 0.000000 0.000000 \n", "50% 2007.000000 0.080000 0.020000 0.000000 \n", "75% 2010.000000 0.240000 0.110000 0.040000 \n", "max 2020.000000 41.360000 28.960000 10.220000 \n", "\n", " Other_Sales Global_Sales Critic_Score Critic_Count User_Score \\\n", "count 16447.000000 16447.000000 8551.000000 16447.000000 8551.000000 \n", "mean 0.047586 0.536202 69.026180 12.832675 5.953759 \n", "std 0.187989 1.558502 13.458964 18.708601 5.286127 \n", "min 0.000000 0.010000 13.000000 0.000000 -40.074108 \n", "25% 0.000000 0.060000 61.000000 0.000000 5.900000 \n", "50% 0.010000 0.170000 70.374108 0.000000 7.300000 \n", "75% 0.030000 0.470000 79.000000 21.000000 8.200000 \n", "max 10.570000 82.530000 98.000000 113.000000 26.925892 \n", "\n", " User_Count Series_Installment NA_Sales_Percent EU_Sales_Percent \\\n", "count 16447.000000 16447.000000 16447.000000 16447.000000 \n", "mean 73.963702 1.000122 45.607227 22.781458 \n", "std 388.389327 0.011027 34.094901 25.104862 \n", "min 0.000000 1.000000 0.000000 0.000000 \n", "25% 0.000000 1.000000 0.000000 0.000000 \n", "50% 0.000000 1.000000 50.000000 19.512195 \n", "75% 20.000000 1.000000 75.000000 37.500000 \n", "max 10665.000000 2.000000 100.000000 100.000000 \n", "\n", " JP_Sales_Percent Market_Saturation Multiplatform_Release \\\n", "count 16447.000000 16447.000000 16447.000000 \n", "mean 24.479532 106.054296 2.104031 \n", "std 40.257511 72.078069 1.568358 \n", "min 0.000000 1.000000 1.000000 \n", "25% 0.000000 48.000000 1.000000 \n", "50% 0.000000 85.000000 1.000000 \n", "75% 37.053001 166.000000 3.000000 \n", "max 100.000000 272.000000 10.000000 \n", "\n", " Years_Since_Last_Installment \n", "count 16447.000000 \n", "mean 0.003466 \n", "std 1.236991 \n", "min -24.000000 \n", "25% 0.000000 \n", "50% 0.000000 \n", "75% 0.000000 \n", "max 34.000000 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "sns.set_theme(style=\"whitegrid\")\n", "\n", "print(\"Initial Data Inspection:\\n\")\n", "print(\"First 5 rows of the dataset:\")\n", "display(df.head())\n", "print(\"\\nLast 5 rows of the dataset:\")\n", "display(df.tail())\n", "print(f\"\\nShape of the dataset: {df.shape[0]} Rows, {df.shape[1]} Columns\")\n", "print(\"\\nSummary of the DataFrame:\")\n", "df.info()\n", "print(\"\\nData Types of Each Column:\")\n", "print(df.dtypes.to_string())\n", "print(\"\\nDescriptive Statistics for Numerical Columns:\")\n", "display(df.describe())\n" ] }, { "cell_type": "code", "execution_count": 50, "id": "d4be2e30", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial Data Inspection:\n", "\n", "First 5 rows of the dataset:\n" ] }, { "data": { "text/html": [ "
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NamePlatformYear_of_ReleaseGenrePublisherNA_SalesEU_SalesJP_SalesOther_SalesGlobal_Sales...DeveloperRatingConsole_BrandSeries_InstallmentNA_Sales_PercentEU_Sales_PercentJP_Sales_PercentMarket_SaturationMultiplatform_ReleaseYears_Since_Last_Installment
14985Beyblade Burst3DS2016Role-PlayingFuRyu0.000.000.030.000.03...NaNNaNNintendo10.0000000.000000100.0000005410
1079Fire Emblem Fates3DS2015Role-PlayingNintendo0.810.230.520.111.68...NaNNaNNintendo148.21428613.69047630.9523817810
3358Frozen: Olaf's Quest3DS2013PlatformDisney Interactive Studios0.270.270.000.050.60...NaNNaNNintendo145.00000045.0000000.0000003620
3862Frozen: Olaf's QuestDS2013PlatformDisney Interactive Studios0.210.260.000.040.52...NaNNaNNintendo140.38461550.0000000.0000003620
13795Haikyu!! Cross Team Match!3DS2016AdventureNamco Bandai Games0.000.000.040.000.04...NaNNaNNintendo10.0000000.000000100.0000005610
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5 rows × 24 columns

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" ], "text/plain": [ " Name Platform Year_of_Release Genre \\\n", "14985 Beyblade Burst 3DS 2016 Role-Playing \n", "1079 Fire Emblem Fates 3DS 2015 Role-Playing \n", "3358 Frozen: Olaf's Quest 3DS 2013 Platform \n", "3862 Frozen: Olaf's Quest DS 2013 Platform \n", "13795 Haikyu!! Cross Team Match! 3DS 2016 Adventure \n", "\n", " Publisher NA_Sales EU_Sales JP_Sales Other_Sales \\\n", "14985 FuRyu 0.00 0.00 0.03 0.00 \n", "1079 Nintendo 0.81 0.23 0.52 0.11 \n", "3358 Disney Interactive Studios 0.27 0.27 0.00 0.05 \n", "3862 Disney Interactive Studios 0.21 0.26 0.00 0.04 \n", "13795 Namco Bandai Games 0.00 0.00 0.04 0.00 \n", "\n", " Global_Sales ... Developer Rating Console_Brand \\\n", "14985 0.03 ... NaN NaN Nintendo \n", "1079 1.68 ... NaN NaN Nintendo \n", "3358 0.60 ... NaN NaN Nintendo \n", "3862 0.52 ... NaN NaN Nintendo \n", "13795 0.04 ... NaN NaN Nintendo \n", "\n", " Series_Installment NA_Sales_Percent EU_Sales_Percent JP_Sales_Percent \\\n", "14985 1 0.000000 0.000000 100.000000 \n", "1079 1 48.214286 13.690476 30.952381 \n", "3358 1 45.000000 45.000000 0.000000 \n", "3862 1 40.384615 50.000000 0.000000 \n", "13795 1 0.000000 0.000000 100.000000 \n", "\n", " Market_Saturation Multiplatform_Release Years_Since_Last_Installment \n", "14985 54 1 0 \n", "1079 78 1 0 \n", "3358 36 2 0 \n", "3862 36 2 0 \n", "13795 56 1 0 \n", "\n", "[5 rows x 24 columns]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Last 5 rows of the dataset:\n" ] }, { "data": { "text/html": [ "
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NamePlatformYear_of_ReleaseGenrePublisherNA_SalesEU_SalesJP_SalesOther_SalesGlobal_Sales...DeveloperRatingConsole_BrandSeries_InstallmentNA_Sales_PercentEU_Sales_PercentJP_Sales_PercentMarket_SaturationMultiplatform_ReleaseYears_Since_Last_Installment
16498thinkSMART: Chess for KidsDS2011MiscMentor Interactive0.010.000.000.000.01...Mentor InteractiveENintendo1100.0000000.0000000.018310
645uDraw StudioWii2010MiscTHQ1.650.570.000.202.42...THQENintendo168.18181823.5537190.020110
8281uDraw Studio: Instant ArtistWii2011MiscTHQ0.060.090.000.020.17...THQENintendo135.29411852.9411760.018320
15614uDraw Studio: Instant ArtistX3602011MiscTHQ0.010.010.000.000.02...THQEMicrosoft150.00000050.0000000.018320
9135¡Shin Chan Flipa en colores!DS2007Platform505 Games0.000.000.140.000.14...NaNNaNNintendo10.0000000.000000100.04210
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5 rows × 24 columns

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" ], "text/plain": [ " Name Platform Year_of_Release Genre \\\n", "16498 thinkSMART: Chess for Kids DS 2011 Misc \n", "645 uDraw Studio Wii 2010 Misc \n", "8281 uDraw Studio: Instant Artist Wii 2011 Misc \n", "15614 uDraw Studio: Instant Artist X360 2011 Misc \n", "9135 ¡Shin Chan Flipa en colores! DS 2007 Platform \n", "\n", " Publisher NA_Sales EU_Sales JP_Sales Other_Sales \\\n", "16498 Mentor Interactive 0.01 0.00 0.00 0.00 \n", "645 THQ 1.65 0.57 0.00 0.20 \n", "8281 THQ 0.06 0.09 0.00 0.02 \n", "15614 THQ 0.01 0.01 0.00 0.00 \n", "9135 505 Games 0.00 0.00 0.14 0.00 \n", "\n", " Global_Sales ... Developer Rating Console_Brand \\\n", "16498 0.01 ... Mentor Interactive E Nintendo \n", "645 2.42 ... THQ E Nintendo \n", "8281 0.17 ... THQ E Nintendo \n", "15614 0.02 ... THQ E Microsoft \n", "9135 0.14 ... NaN NaN Nintendo \n", "\n", " Series_Installment NA_Sales_Percent EU_Sales_Percent JP_Sales_Percent \\\n", "16498 1 100.000000 0.000000 0.0 \n", "645 1 68.181818 23.553719 0.0 \n", "8281 1 35.294118 52.941176 0.0 \n", "15614 1 50.000000 50.000000 0.0 \n", "9135 1 0.000000 0.000000 100.0 \n", "\n", " Market_Saturation Multiplatform_Release Years_Since_Last_Installment \n", "16498 183 1 0 \n", "645 201 1 0 \n", "8281 183 2 0 \n", "15614 183 2 0 \n", "9135 42 1 0 \n", "\n", "[5 rows x 24 columns]" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Shape of the dataset: 16447 Rows, 24 Columns\n", "\n", "Summary of the DataFrame:\n", "\n", "Int64Index: 16447 entries, 14985 to 9135\n", "Data columns (total 24 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Name 16447 non-null object \n", " 1 Platform 16447 non-null object \n", " 2 Year_of_Release 16447 non-null int32 \n", " 3 Genre 16447 non-null object \n", " 4 Publisher 16447 non-null object \n", " 5 NA_Sales 16447 non-null float64\n", " 6 EU_Sales 16447 non-null float64\n", " 7 JP_Sales 16447 non-null float64\n", " 8 Other_Sales 16447 non-null float64\n", " 9 Global_Sales 16447 non-null float64\n", " 10 Critic_Score 8551 non-null float64\n", " 11 Critic_Count 16447 non-null int32 \n", " 12 User_Score 8551 non-null float64\n", " 13 User_Count 16447 non-null int32 \n", " 14 Developer 9906 non-null object \n", " 15 Rating 9768 non-null object \n", " 16 Console_Brand 16048 non-null object \n", " 17 Series_Installment 16447 non-null int64 \n", " 18 NA_Sales_Percent 16447 non-null float64\n", " 19 EU_Sales_Percent 16447 non-null float64\n", " 20 JP_Sales_Percent 16447 non-null float64\n", " 21 Market_Saturation 16447 non-null int64 \n", " 22 Multiplatform_Release 16447 non-null int64 \n", " 23 Years_Since_Last_Installment 16447 non-null int32 \n", "dtypes: float64(10), int32(4), int64(3), object(7)\n", "memory usage: 2.9+ MB\n", "\n", "Data Types of Each Column:\n", "Name object\n", "Platform object\n", "Year_of_Release int32\n", "Genre object\n", "Publisher object\n", "NA_Sales float64\n", "EU_Sales float64\n", "JP_Sales float64\n", "Other_Sales float64\n", "Global_Sales float64\n", "Critic_Score float64\n", "Critic_Count int32\n", "User_Score float64\n", "User_Count int32\n", "Developer object\n", "Rating object\n", "Console_Brand object\n", "Series_Installment int64\n", "NA_Sales_Percent float64\n", "EU_Sales_Percent float64\n", "JP_Sales_Percent float64\n", "Market_Saturation int64\n", "Multiplatform_Release int64\n", "Years_Since_Last_Installment int32\n", "\n", "Descriptive Statistics for Numerical Columns:\n" ] }, { "data": { "text/html": [ "
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Year_of_ReleaseNA_SalesEU_SalesJP_SalesOther_SalesGlobal_SalesCritic_ScoreCritic_CountUser_ScoreUser_CountSeries_InstallmentNA_Sales_PercentEU_Sales_PercentJP_Sales_PercentMarket_SaturationMultiplatform_ReleaseYears_Since_Last_Installment
count16447.00000016447.00000016447.00000016447.00000016447.00000016447.0000008551.00000016447.0000008551.00000016447.00000016447.00000016447.00000016447.00000016447.00000016447.00000016447.00000016447.000000
mean2006.4886610.2639810.1459030.0784760.0475860.53620269.02618012.8326755.95375973.9637021.00012245.60722722.78145824.479532106.0542962.1040310.003466
std5.8774920.8183080.5066740.3110730.1879891.55850213.45896418.7086015.286127388.3893270.01102734.09490125.10486240.25751172.0780691.5683581.236991
min1980.0000000.0000000.0000000.0000000.0000000.01000013.0000000.000000-40.0741080.0000001.0000000.0000000.0000000.0000001.0000001.000000-24.000000
25%2003.0000000.0000000.0000000.0000000.0000000.06000061.0000000.0000005.9000000.0000001.0000000.0000000.0000000.00000048.0000001.0000000.000000
50%2007.0000000.0800000.0200000.0000000.0100000.17000070.3741080.0000007.3000000.0000001.00000050.00000019.5121950.00000085.0000001.0000000.000000
75%2010.0000000.2400000.1100000.0400000.0300000.47000079.00000021.0000008.20000020.0000001.00000075.00000037.50000037.053001166.0000003.0000000.000000
max2020.00000041.36000028.96000010.22000010.57000082.53000098.000000113.00000026.92589210665.0000002.000000100.000000100.000000100.000000272.00000010.00000034.000000
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" ], "text/plain": [ " Year_of_Release NA_Sales EU_Sales JP_Sales \\\n", "count 16447.000000 16447.000000 16447.000000 16447.000000 \n", "mean 2006.488661 0.263981 0.145903 0.078476 \n", "std 5.877492 0.818308 0.506674 0.311073 \n", "min 1980.000000 0.000000 0.000000 0.000000 \n", "25% 2003.000000 0.000000 0.000000 0.000000 \n", "50% 2007.000000 0.080000 0.020000 0.000000 \n", "75% 2010.000000 0.240000 0.110000 0.040000 \n", "max 2020.000000 41.360000 28.960000 10.220000 \n", "\n", " Other_Sales Global_Sales Critic_Score Critic_Count User_Score \\\n", "count 16447.000000 16447.000000 8551.000000 16447.000000 8551.000000 \n", "mean 0.047586 0.536202 69.026180 12.832675 5.953759 \n", "std 0.187989 1.558502 13.458964 18.708601 5.286127 \n", "min 0.000000 0.010000 13.000000 0.000000 -40.074108 \n", "25% 0.000000 0.060000 61.000000 0.000000 5.900000 \n", "50% 0.010000 0.170000 70.374108 0.000000 7.300000 \n", "75% 0.030000 0.470000 79.000000 21.000000 8.200000 \n", "max 10.570000 82.530000 98.000000 113.000000 26.925892 \n", "\n", " User_Count Series_Installment NA_Sales_Percent EU_Sales_Percent \\\n", "count 16447.000000 16447.000000 16447.000000 16447.000000 \n", "mean 73.963702 1.000122 45.607227 22.781458 \n", "std 388.389327 0.011027 34.094901 25.104862 \n", "min 0.000000 1.000000 0.000000 0.000000 \n", "25% 0.000000 1.000000 0.000000 0.000000 \n", "50% 0.000000 1.000000 50.000000 19.512195 \n", "75% 20.000000 1.000000 75.000000 37.500000 \n", "max 10665.000000 2.000000 100.000000 100.000000 \n", "\n", " JP_Sales_Percent Market_Saturation Multiplatform_Release \\\n", "count 16447.000000 16447.000000 16447.000000 \n", "mean 24.479532 106.054296 2.104031 \n", "std 40.257511 72.078069 1.568358 \n", "min 0.000000 1.000000 1.000000 \n", "25% 0.000000 48.000000 1.000000 \n", "50% 0.000000 85.000000 1.000000 \n", "75% 37.053001 166.000000 3.000000 \n", "max 100.000000 272.000000 10.000000 \n", "\n", " Years_Since_Last_Installment \n", "count 16447.000000 \n", "mean 0.003466 \n", "std 1.236991 \n", "min -24.000000 \n", "25% 0.000000 \n", "50% 0.000000 \n", "75% 0.000000 \n", "max 34.000000 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "sns.set_theme(style=\"whitegrid\")\n", "\n", "print(\"Initial Data Inspection:\\n\")\n", "print(\"First 5 rows of the dataset:\")\n", "display(df.head())\n", "print(\"\\nLast 5 rows of the dataset:\")\n", "display(df.tail())\n", "print(f\"\\nShape of the dataset: {df.shape[0]} Rows, {df.shape[1]} Columns\")\n", "print(\"\\nSummary of the DataFrame:\")\n", "df.info()\n", "print(\"\\nData Types of Each Column:\")\n", "print(df.dtypes.to_string())\n", "print(\"\\nDescriptive Statistics for Numerical Columns:\")\n", "display(df.describe())\n" ] }, { "cell_type": "code", "execution_count": 51, "id": "3417051d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--- Exploratory Data Analysis (EDA) ---\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"\\n--- Exploratory Data Analysis (EDA) ---\")\n", "\n", "platform_counts = df['Platform'].value_counts()\n", "plt.figure(figsize=(12, 8))\n", "sns.barplot(x=platform_counts.values, y=platform_counts.index, palette='viridis')\n", "plt.title('Number of Games per Platform', fontsize=20)\n", "plt.xlabel('Number of Games', fontsize=14)\n", "plt.ylabel('Platform', fontsize=14)\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 52, "id": "6d8e16fb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "--- Exploratory Data Analysis (EDA) ---\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"\\n--- Exploratory Data Analysis (EDA) ---\")\n", "\n", "platform_counts = df['Platform'].value_counts()\n", "plt.figure(figsize=(12, 8))\n", "sns.barplot(x=platform_counts.values, y=platform_counts.index, palette='viridis')\n", "plt.title('Number of Games per Platform', fontsize=20)\n", "plt.xlabel('Number of Games', fontsize=14)\n", "plt.ylabel('Platform', fontsize=14)\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 53, "id": "ba55d374", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "top_5_games = df.sort_values(by='Global_Sales', ascending=False).head(5)\n", "top_5_games['Year_of_Release'] = top_5_games['Year_of_Release'].fillna(0).astype(int).astype(str)\n", "top_5_games['Name_Year'] = top_5_games['Name'] + \" (\" + top_5_games['Year_of_Release'] + \")\"\n", "\n", "plt.figure(figsize=(12, 6))\n", "sns.barplot(x='Global_Sales', y='Name_Year', data=top_5_games, palette='viridis')\n", "plt.title('Top 5 Games by Global Sales', fontsize=18)\n", "plt.xlabel('Global Sales (in millions)', fontsize=14)\n", "plt.ylabel('Game Name (Year of Release)', fontsize=14)\n", "for index, value in enumerate(top_5_games['Global_Sales']):\n", " plt.text(value, index, f' {value:.2f}M', va='center', fontsize=12, color='black')\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 54, "id": "8887ef25", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Top 5 Games by Global Sales:\n", " Name_Year Global_Sales\n", "0 Wii Sports (2006) 82.53\n", "1 Super Mario Bros. (1985) 40.24\n", "2 Mario Kart Wii (2008) 35.52\n", "3 Wii Sports Resort (2009) 32.77\n", "4 Pokemon Red/Pokemon Blue (1996) 31.37\n" ] } ], "source": [ "# Print the DataFrame containing the top 5 games by global sales\n", "print(\"Top 5 Games by Global Sales:\")\n", "print(top_5_games[['Name_Year', 'Global_Sales']])\n" ] }, { "cell_type": "code", "execution_count": 55, "id": "772b67a5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: plotly in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (5.20.0)\n", "Requirement already satisfied: tenacity>=6.2.0 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from plotly) (8.2.2)\n", "Requirement already satisfied: packaging in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from plotly) (23.0)\n" ] } ], "source": [ "!pip install plotly\n" ] }, { "cell_type": "code", "execution_count": 56, "id": "407871ab", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The correlation between NA sales and JP sales for the years 2010-2014 is: 0.26\n" ] }, { "data": { "image/png": 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", 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_filtered = df[(df['Year_of_Release'] >= 2010) & (df['Year_of_Release'] <= 2014) & df['Console_Brand'].notnull()]\n", "\n", "correlation = df_filtered['NA_Sales'].corr(df_filtered['JP_Sales'])\n", "print(f\"The correlation between NA sales and JP sales for the years 2010-2014 is: {correlation:.2f}\")\n", "\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "plt.figure(figsize=(10, 6))\n", "sns.regplot(x='NA_Sales', y='JP_Sales', data=df_filtered,\n", " scatter_kws={'alpha':0.6}, line_kws={'color':'#2ca02c'})\n", "plt.title('Relationship Between NA Sales and JP Sales (2010-2014)')\n", "plt.xlabel('NA Sales (in millions)')\n", "plt.ylabel('JP Sales (in millions)')\n", "plt.show()\n", "\n", "plt.figure(figsize=(10, 6))\n", "sns.scatterplot(x='NA_Sales', y='JP_Sales', data=df_filtered, hue='Genre', alpha=0.5, palette='Set1')\n", "plt.title('Colored Relationship Between NA Sales and JP Sales by Genre (2010-2014)')\n", "plt.xlabel('NA Sales (in millions)')\n", "plt.ylabel('JP Sales (in millions)')\n", "plt.legend(title='Genre', bbox_to_anchor=(1.05, 1), loc='upper left')\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "499f36b3", "metadata": {}, "source": [ "Filtering the Data:\n", "df_filtered is created by filtering df for games released from 2010 to 2014 and with non-null 'Console_Brand' values. This subset ensures the analysis focuses on a specific timeframe and games associated with known console brands.\n", "Correlation Calculation:\n", "The Pearson correlation coefficient between 'NA_Sales' and 'JP_Sales' is calculated using the .corr() method. This coefficient quantifies the strength and direction of the linear relationship between NA and JP sales.\n", "The result is printed, providing a quick statistical insight into how sales in these regions might be related for the specified period.\n", "First Visualization - Regression Plot:\n", "A regression plot is created using sns.regplot, plotting 'NA_Sales' against 'JP_Sales' with a regression line to indicate the trend.\n", "scatter_kws={'alpha':0.6} makes the scatter points semi-transparent, helping visualize the density of points when they overlap. line_kws={'color':'#2ca02c'} sets the color of the regression line to a green shade, making it distinct from the scatter points.\n", "The plot is titled and labeled to clearly convey the relationship it's illustrating, specifically highlighting the years analyzed.\n", "Second Visualization - Scatter Plot with Hue:\n", "A scatter plot is created using sns.scatterplot, again plotting 'NA_Sales' against 'JP_Sales', but this time coloring points by 'Genre' to explore how different genres might influence sales relationships.\n", "alpha=0.5 makes the scatter points semi-transparent for better overlap visualization, and palette='Set1' applies a distinct color set for different genres.\n", "The legend is positioned outside the plot area (bbox_to_anchor=(1.05, 1), loc='upper left'), ensuring it doesn't obscure any data points.\n", "This colored scatter plot provides a more nuanced view of the relationship by showing how genre might play a role in sales performance across these regions." ] }, { "cell_type": "code", "execution_count": 57, "id": "42f70683", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "customdata": [ [ " Frozen: Olaf's Quest" ], [ " Frozen: Olaf's Quest" ], [ "10 Minute Solution" ], [ "100 Classic Games" ], [ "1000 Cooking Recipes from ELLE à table" ], [ "1001 Touch Games" ], [ "101-in-1 Sports Megamix" ], [ "101-in-1 Sports Party Megamix" ], [ "12-Sai. 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Vanguard: Lock On Victory!!" ], [ "Cardfight!! Vanguard: Ride to Victory" ], [ "Carnival Games: Wild West 3D" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars Toon: Mater's Tall Tales" ], [ "Cartoon Network: Punch Time Explosion" ], [ "Cartoon Network: Punch Time Explosion XL" ], [ "Castlevania: Lords of Shadow - Mirror of Fate" ], [ "Casual Mania!" ], [ "Cats & Dogs: The Revenge of Kitty Galore" ], [ "Cave Story 3D" ], [ "Centipede: Infestation" ], [ "Centipede: Infestation" ], [ "Challenge Me: Brain Puzzles 2" ], [ "Challenge Me: Brain Puzzles 2" ], [ "Challenge Me: Word Puzzles" ], [ "Champion Jockey: G1 Jockey & Gallop Racer" ], [ "Cheer We Go!" ], [ "Chevrolet Camaro: Wild Ride" ], [ "Chevrolet Camaro: Wild Ride" ], [ "Chicken Riot" ], [ "Chocolatier" ], [ "Chousoku Henkei Gyrozetter: Albatross no Tsubasa" ], [ "Cho~ricchi! Tamagotchi no Puchi Puchi Omisecchi" ], [ "Chronicles of Mystery: The Secret Tree of Life" ], [ "Chuck E. Cheese's Game Room" ], [ "Chuck E. Cheese's Party Games" ], [ "Chuck E. Cheese's Party Games" ], [ "Chuck E. Cheese's Playhouse" ], [ "Chuck E. Cheese's Sports Games" ], [ "Chuck E. Cheese's Super Collection" ], [ "City Builder" ], [ "Clash of Elementalists" ], [ "Clash of Elementalists" ], [ "Club Penguin: Elite Penguin Force - Herbert's Revenge" ], [ "Club Penguin: Game Day!" ], [ "Code of Princess" ], [ "Combat of Giants: Dinosaurs 3D" ], [ "Conception II: Children of the Seven Stars" ], [ "Conduit 2" ], [ "Cooking Mama 4: Kitchen Magic!" ], [ "Cooking Mama 5: Bon Appetit!" ], [ "Cooking Mama: My Sweets Shop" ], [ "Cosmos Chaos!" ], [ "Country Dance" ], [ "Country Dance 2" ], [ "Crafting Mama" ], [ "Crayon Shin-Chan Shokkugan! Densetsu o Yobu Omake Daiketsusen!!" ], [ "Crayon Shin-Chan: Obaka Daininden - Susume! Kasukabe Ninja Tai!" ], [ "Crayon Shin-Chan: Uchuu de Achoo!? Yuujou no Oba-Karate!!" ], [ "Crayon Shin-chan: Arashi o Yobu Kasukabe Eiga Stars!" ], [ "Crazy Machines" ], [ "Create" ], [ "Crime Lab: Body of Evidence" ], [ "Crush3D" ], [ "Cubic Ninja" ], [ "Culdcept" ], [ "Curse of the Amsterdam Diamond" ], [ "Cut the Rope" ], [ "DJ Hero 2" ], [ "DaGeDar" ], [ "Daigasso! Band Brothers P" ], [ "Daikaijuu Battle: Ultra Coliseum DX - Ultra Senshi Daishuuketsu" ], [ "Dance Dance Revolution: Hottest Party 5" ], [ "Dance Sensation!" ], [ "Dance on Broadway" ], [ "DanceDanceRevolution" ], [ "Dancing on Ice" ], [ "Dancing on Ice" ], [ "Dangerous Ji-San to 1000-nin no Otomodachi Yokoshima" ], [ "Daniel X: The Ultimate Power" ], [ "Darksiders II" ], [ "Data East Arcade Classics" ], [ "Datenshi no Amai Yuuwaku x Kaikan Phrase" ], [ "Dawn of Heroes" ], [ "Dead or Alive: Dimensions" ], [ "Deadliest Catch: Sea of Chaos" ], [ "Deal or No Deal: Special Edition" ], [ "Deca Sports 3" ], [ "Deca Sports Extreme" ], [ "Deepak Chopra's Leela" ], [ "Deer Drive" ], [ "Deer Drive: Legends" ], [ "Def Jam Rapstar" ], [ "Dementium II" ], [ "Dengeki Gakuen RPG: Cross of Venus Special" ], [ "Densha de Go! Tokubetsu-hen: Fukkatsu Shouwa no Yamatesen" ], [ "Derby Stallion Gold" ], [ "Despicable Me: The Game" ], [ "Despicable Me: The Game - Minion Mayhem" ], [ "Detective Conan: Marionette Symphony" ], [ "Detective Conan: Phantom Rhapsody" ], [ "Detective Conan: Prelude from the Past" ], [ "Detective Jinguuji Saburo: Ronde Revenge" ], [ "Deus Ex: Human Revolution" ], [ "Diego's Build & Rescue" ], [ "Digging for Dinosaurs" ], [ "Digimon Story: Lost Evolution" ], [ "Digimon Story: Super Xros Wars Blue/Red" ], [ "Digimon World Re:Digitize Decode" ], [ "Disney Channel: All Star Party" ], [ "Disney Fairies: Tinker Bell and the Great Fairy Rescue" ], [ "Disney Guilty Party" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Magical World" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Princess: Enchanting Storybooks" ], [ "Disney Princess: Enchanting Storybooks" ], [ "Disney Sing It: Family Hits" ], [ "Disney Sing It: Party Hits" ], [ "Disney Tangled" ], [ "Disney Tangled" ], [ "Disney Universe" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Do-Konjou Shougakussei: Bon Bita - Hadaka no Choujou Ketsusen!! Bita vs. Dokuro Dei!" ], [ "Doctor Lautrec and the Forgotten Knights" ], [ "Doctor Who: Evacuation Earth" ], [ "Doctor Who: Return to Earth" ], [ "Doki Doki! PreCure Narikiri Life!" ], [ "Dolly Kanon Dokidoki Tokimeki Himitsu no Ongaku Katsudou Start Desu!!" ], [ "Donkey Kong Country Returns" ], [ "Donkey Kong Country Returns" ], [ "Donkey Kong Country: Tropical Freeze" ], [ "Dood's Big Adventure" ], [ "Dora & Kai-Lan's Pet Shelter" ], [ "Dora's Big Birthday Adventure" ], [ "Dora's Big Birthday Adventure" ], [ "Dora's Cooking Club" ], [ "Doraemon: Nobita and the Island of Miracles" ], [ "Doraemon: Nobita to Himitsu Dougu Hakubutsukan" ], [ "Doraemon: Shin Nobita no Daimakyou Peko to 5-nin no Tankenta" ], [ "Dragon Ball Heroes: Ultimate Mission" ], [ "Dragon Ball Heroes: Ultimate Mission 2 " ], [ "Dragon Ball Kai: Ultimate Butouden" ], [ "Dragon Ball: Origins 2" ], [ "Dragon Quest 25 Shuunen Kinin: Famicom & Super Famicom Dragon Quest I-II-III" ], [ "Dragon Quest Monsters 2" ], [ "Dragon Quest Monsters: Battle Road Victory" ], [ "Dragon Quest Monsters: Joker 2" ], [ "Dragon Quest Monsters: Joker 2 Professional" ], [ "Dragon Quest Monsters: Terry's Wonderland 3D" ], [ "Dragon Quest VI: Realms of Revelation" ], [ "Dragon Quest VII: Warriors of Eden" ], [ "Dragon Quest X" ], [ "Dragon Quest X" ], [ "Dragon Quest X" ], [ "Dragon's Lair" ], [ "Dragon's Lair Trilogy" ], [ "Drawn to Life Collection" ], [ "Dream Chronicles" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "Dreamer Series: Zoo Keeper" ], [ "Dreamworks 2-in-1 Party Pack" ], [ "Driver: Renegade" ], [ "Driver: San Francisco" ], [ "DualPenSports" ], [ "DuckTales: Remastered" ], [ "Duke Nukem Trilogy: Critical Mass" ], [ "Dynasty Warriors Vs" ], [ "E.X. Troopers" ], [ "EA Sports Active 2" ], [ "EA Sports Active NFL Training Camp" ], [ "ESPN: Sports Connection" ], [ "Earth Seeker" ], [ "Eigo de Tabisuru: Little Charo" ], [ "Elminage II DS Remix: Sousei no Megami to Unmai no Daichi" ], [ "Emergency 2012" ], [ "Emily Archer and the Curse of Tutankhamun" ], [ "Emily the Strange: Strangerous" ], [ "Epic Mickey" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey: Power of Illusion" ], [ "Escape The Museum" ], [ "Etrian Odyssey 2 Untold: Knight of Fafnir" ], [ "Etrian Odyssey II: Heroes of Lagaard" ], [ "Etrian Odyssey III: The Drowned City" ], [ "Etrian Odyssey IV: Legends of the Titans" ], [ "Etrian Odyssey Untold: The Millennium Girl" ], [ "ExerBeat" ], [ "Exstetra" ], [ "F1 2011" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FabStyle" ], [ "FabStyle" ], [ "Family Feud Decades" ], [ "Family Feud: 2012 Edition" ], [ "Family Game Night 4: The Game Show" ], [ "Family Party: 30 Great Games Winter Fun" ], [ "Family Party: 90 Great Games Party Pack" ], [ "Family Party: Fitness Fun" ], [ "Family Trainer: Treasure Adventure" ], [ "Fancy Nancy: Tea Party Time!" ], [ "Fantasy Life" ], [ "Farm Frenzy 3" ], [ "Farming Simulator 2012" ], [ "Farmtopia" ], [ "Fast Food Panic" ], [ "Fatal Frame 2: Wii Edition" ], [ "Fatal Frame: Maiden of Black Water" ], [ "Fate/kaleid liner Prisma Illya" ], [ "Final Fantasy Explorers" ], [ "Fire Emblem: Awakening" ], [ "Fire Emblem: Shin Monshou no Nazo Hikari to Kage no Eiyuu" ], [ "Fishdom" ], [ "Fishing Resort" ], [ "Fist of the North Star: Ken's Rage 2" ], [ "Fit in Six" ], [ "FlingSmash" ], [ "Fortune Street" ], [ "Fossil Fighters: Champions" ], [ "Fossil Fighters: Frontier" ], [ "Foto Showdown" ], [ "Frogger 3D" ], [ "Fujiko F. Fujio Characters: Great Assembly! Slightly Fantastic Slapstick Party" ], [ "Funky Barn" ], [ "Fushigi no Dungeon: Fuurai no Shiren 5 - Fortune Tower to Unmei no Dice" ], [ "G1 Grand Prix" ], [ "GTI Club: Supermini Festa!" ], [ "Gabrielle's Ghostly Groove 3D" ], [ "Gaist Crusher" ], [ "Gaist Crusher God" ], [ "Gakuen Hetalia" ], [ "Galactic Taz Ball" ], [ "Galaxy Racers" ], [ "Game & Wario" ], [ "Game Center CX: 3-Choume no Arino" ], [ "Game Hits!" ], [ "Game Party: Champions" ], [ "Games Around the World" ], [ "Gem Quest: 4 Elements" ], [ "Gem Smashers" ], [ "Gem Smashers" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Germany's Next Topmodel 2011" ], [ "Germany's Next Topmodel 2011" ], [ "Get Fit with Mel B" ], [ "Get Up and Dance" ], [ "Ghost Trick: Phantom Detective" ], [ "Ginga Tetsudou 999 DS" ], [ "Girls Only" ], [ "Girls RPG: Cinderellife" ], [ "Go Vacation" ], [ "GoGo's Crazy Bones" ], [ "Gokujou!! Mecha Mote Iinchou: MM My Best Friend!" ], [ "Gold's Gym: Dance Workout" ], [ "Golden Sun: Dark Dawn" ], [ "GoldenEye 007 (2010)" ], [ "GoldenEye 007 (2010)" ], [ "Gon: BakuBakuBakuBaku Adventure" ], [ "Gormiti: The Lords of Nature!" ], [ "Gormiti: The Lords of Nature!" ], [ "Gotouchi Tetsudou: Gotouchi Chara to Nihon Zenkoku no Tabi" ], [ "Gotouchi Tetsudou: Gotouchi Chara to Nihon Zenkoku no Tabi" ], [ "Grease" ], [ "Grease" ], [ "Great Party Games" ], [ "Green Day: Rock Band" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Greg Hastings Paintball 2" ], [ "Guild 01" ], [ "Guitar Hero: Warriors of Rock" ], [ "Gummy Bears Magical Medallion" ], [ "Gummy Bears Mini Golf" ], [ "Gummy Bears Mini Golf" ], [ "Gunblade NY & L.A. Machineguns Arcade Hits Pack" ], [ "Gundam Try Age SP" ], [ "Gundam the 3D Battle" ], [ "Gunslingers" ], [ "HOP" ], [ "Haikyuu!! Tsunage! Itadaki no Keshiki!!" ], [ "Hakuoki: Reimeiroku DS" ], [ "Hakuouki DS" ], [ "Hakuouki: Yuugi Roku DS" ], [ "Hakuouki: Zuisouroku DS" ], [ "Hana to Ikimo no Rittai Zukan" ], [ "HappinessCharge PreCure! Kawarun Collection" ], [ "Happy Feet Two" ], [ "Harley-Davidson: Road Trip" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harvest Moon 3D: A New Beginning" ], [ "Harvest Moon: The Lost Valley" ], [ "Harvest Moon: The Tale of Two Towns" ], [ "Hasbro Family Game Night 3" ], [ "Hasbro Family Game Night Fun Pack" ], [ "Hatsune Miku and Future Stars: Project Mirai" ], [ "Hatsune Miku: Project Mirai 2" ], [ "Haunted House" ], [ "Heart Catch PreCure! Oshare Collection" ], [ "Heathcliff! Frantic Foto" ], [ "Heathcliff! The Fast and the Furriest" ], [ "Heavy Fire: Afghanistan" ], [ "Heavy Fire: The Chosen Few 3D" ], [ "Hello Kitty Seasons" ], [ "Hello Kitty: Birthday Adventures" ], [ "Hero Bank" ], [ "Hero Bank 2" ], [ "Heroes of Hellas 2: Olympia" ], [ "Heroes of Ruin" ], [ "Hidden Mysteries: Buckingham Palace" ], [ "Hidden Mysteries: Salem Secrets - Witch Trials of 1692" ], [ "Hidden Mysteries: Vampire Secrets" ], [ "Higurashi no Naku Koro ni Kizuna: Dai-Yon-Kan - Kizuna" ], [ "Hisshou Pachinko*Pachi-Slot Kouryaku Series DS Vol. 5: Shinseiki Evangelion - Tamashii no Kiseki" ], [ "Hollywood Squares" ], [ "Hometown Story" ], [ "Honda ATV Fever" ], [ "Honda ATV Fever" ], [ "Hoppechan: Minna de Odekake! Waku Waku Hoppe Land!!" ], [ "Hoppechan: Tsukutte! Asonde! Punipuni Town!!" ], [ "Hoppie" ], [ "Horrid Henry's Horrid Adventure" ], [ "Horrid Henry: Missions of Mischief" ], [ "Horrid Henry: Missions of Mischief" ], [ "Horrid Henry: The Good, The Bad and The Bugly" ], [ "Horses 3D" ], [ "Hot Wheels: Track Attack" ], [ "Hot Wheels: Track Attack" ], [ "House M.D." ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "Hudson x GReeeeN Live!? DeeeeS!?" ], [ "Hyrule Warriors" ], [ "I Am In The Movie" ], [ "I Heart Geeks" ], [ "I Love Horses: Rider's Paradise" ], [ "I Love Puppies" ], [ "I Spy: Castle" ], [ "I Spy: Spooky Mansion" ], [ "I Spy: Universe" ], [ "Imagine Animal Doctor Care Center" ], [ "Imagine: Fashion Designer" ], [ "Imagine: Fashion Stylist" ], [ "Imagine: Reporter" ], [ "Imagine: Resort Owner" ], [ "Imagine: Sweet 16" ], [ "Inazuma Eleven 3" ], [ "Inazuma Eleven 3" ], [ "Inazuma Eleven GO" ], [ "Inazuma Eleven GO 3: Galaxy" ], [ "Inazuma Eleven GO Strikers 2013" ], [ "Inazuma Eleven Go 2: Chrono Stone" ], [ "Inazuma Eleven Strikers" ], [ "Inazuma Eleven Strikers 2012 Xtreme" ], [ "Injustice: Gods Among Us" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Ishin no Arashi: Shippuu Ryuumeden" ], [ "Ivy the Kiwi?" ], [ "Ivy the Kiwi?" ], [ "J Legend Retsuden" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Legends" ], [ "James Noir's Hollywood Crimes" ], [ "Jane's Hotel" ], [ "Jaws: Ultimate Predator" ], [ "Jaws: Ultimate Predator" ], [ "Jeopardy!" ], [ "Jeopardy!" ], [ "Jerry Rice and Nitus' Dog Football" ], [ "Jewel Legends: Tree of Life" ], [ "Jewel Link Chronicles: Legend of Athena" ], [ "Jewel Master: Cradle Of Rome 2" ], [ "Jewel Master: Cradle of Athena" ], [ "Jewel Master: Cradle of Persia" ], [ "Jewel Match" ], [ "Jewel Match 2" ], [ "Jewel Quest 5: The Sleepless Star" ], [ "Jewel Quest IV: Heritage" ], [ "Jewel Quest Mysteries 2: Trail of the Midnight Heart" ], [ "Jewel Quest Mysteries: Curse of the Emerald Tear" ], [ "Jewel Time Deluxe" ], [ "Jewels of the Ages" ], [ "Jewels of the Tropical Lost Island" ], [ "Jillian Michaels Fitness Ultimatum 2011" ], [ "Jimmie Johnson's Anything With an Engine" ], [ "Jinguuji Saburou DS: Akai Chou" ], [ "JoJo's Bizarre Adventure: All Star Battle" ], [ "Johnny Test" ], [ "Junior Brain Trainer 2" ], [ "Junior Classic Books & Fairytales" ], [ "Junior Island Adventure" ], [ "Junior Mystery Quest" ], [ "Just Dance 2" ], [ "Just Dance 2014" ], [ "Just Dance 2014" ], [ "Just Dance 2015" ], [ "Just Dance 2015" ], [ "Just Dance 2: Extra Songs" ], [ "Just Dance 3" ], [ "Just Dance 4" ], [ "Just Dance 4" ], [ "Just Dance Kids" ], [ "Just Dance Kids 2" ], [ "Just Dance Wii" ], [ "Just Dance Wii 2" ], [ "Just Dance Wii U" ], [ "Just Dance: Disney Party" ], [ "Just Dance: Greatest Hits" ], [ "Just Dance: Summer Party" ], [ "Just Sing! Vol. 2" ], [ "Kaidan Restaurant: Ura Menu 100-Sen" ], [ "Kaidan Restaurant: Zoku! Shin Menu 100-Sen" ], [ "Kaijuu Busters Powered" ], [ "Kaizoku Sentai Gokaiger: Atsumete Henshin! 35 Sentai!" ], [ "Kamen Rider Battle: Ganbaride" ], [ "Kamen Rider: Battride War II" ], [ "Kamen Rider: Travelers Senki" ], [ "Karaoke Joysound Wii Super DX: Hitori de Minna de Utai Houdai!" ], [ "Karaoke Revolution Glee" ], [ "Karaoke Revolution Glee 2: Road to Regionals" ], [ "Karaoke Revolution Glee: Volume 3" ], [ "Katekyoo Hitman Reborn! DS Fate of Heat III - Yuki no Shugosha Raishuu!" ], [ "Katekyoo Hitman Reborn! DS Flame Rumble XX - Kessen! Shin 6 Chouka" ], [ "Kawaii Koinu DS 3" ], [ "Ken to Mahou to Gakuen Mono. 3D" ], [ "Keroro RPG: Kishi to Musha to Densetsu no Kaizoku" ], [ "Keshisasu-Kun: Battle Kas-tival" ], [ "Kevin Van Dam: Big Bass Challenge" ], [ "Kid Adventures: Sky Captain" ], [ "Kid Fit Island Resort" ], [ "Kid Icarus: Uprising" ], [ "Kids Learn Math: A+ Edition" ], [ "Kids Learn Music A+ Edition" ], [ "Kidz Bop Dance Party! The Video Game" ], [ "Kimi ni Todoke: Tsutaeru Kimochi" ], [ "Kingdom Hearts 3D: Dream Drop Distance" ], [ "Kingdom Hearts Re:coded" ], [ "Kirby's Dream Collection: Special Edition" ], [ "Kirby's Epic Yarn" ], [ "Kirby's Return to Dreamland" ], [ "Kirby: Mass Attack" ], [ "Kirby: Triple Deluxe" ], [ "Kobitodzukan: Kobito Kansatsu Set" ], [ "Kobitodzukan: Kobito no Fushigi - Jikken Set" ], [ "Kochira Katsushikaku Kameari Kouenmae Hashutsujo: Machiteba Tengoku! Makereba Jigoku! Ryoutsuryuu Ikkakusenkin Daisakusen!" ], [ "Kokoro no Kokoron" ], [ "Kuma no Pooh-San: 100 Acre no Mori no Cooking Book" ], [ "Kuma-Tomo" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Panda 2" ], [ "Kung Zhu" ], [ "Kuroko's Basketball: Miracle Game" ], [ "Kyokugen Dasshutsu ADV: Zennin Shiboudesu" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Battles: Ninjago" ], [ "LEGO City Undercover" ], [ "LEGO City Undercover" ], [ "LEGO Friends" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "Lalaloopsy" ], [ "Last Window: The Secret of Cape West" ], [ "Learn Science" ], [ "Learning to Spell" ], [ "Legend of Kay" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legends of Oz: Dorothy's Return" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Let's Dance with Mel B" ], [ "Let's Paint" ], [ "Let's Play Ballerina" ], [ "Let's Play Ballerina" ], [ "Let's Play Flight Attendant" ], [ "Let's Play Garden" ], [ "Let's Play Garden" ], [ "Lilpri DS: Hime-Chen! Apple Pink" ], [ "Little Battlers eXperience W" ], [ "Little Battlers eXperience: Baku Boost" ], [ "Little Battlers eXperience: Wars" ], [ "Little League World Series Baseball: Double Play" ], [ "Little League World Series Baseball: Double Play" ], [ "Littlest Pet Shop 3: Biggest Stars - Blue / Pink / Purple Team" ], [ "Livly Garden" ], [ "Lord of Magna: Maiden Heaven" ], [ "Lost Heroes" ], [ "Lost in Shadow" ], [ "Love Plus +" ], [ "Lovely Lisa and Friends" ], [ "Loving Life with Hello Kitty & Friends" ], [ "Lufia: Curse of the Sinistrals" ], [ "Luigi's Mansion: Dark Moon" ], [ "Lupin Sansei: Shijou Saidai no Zunousen" ], [ "Madden NFL 12" ], [ "Madden NFL 13" ], [ "Madden NFL 13" ], [ "Madden NFL Football" ], [ "Magi: Aratanaru Sekai" ], [ "Magi: The Labyrinth of Beginning" ], [ "Magic Encyclopedia: Moonlight" ], [ "Magical ZhuZhu Princess: Carriages & Castles" ], [ "Magician's Quest: Town of Magic" ], [ "Mahjong 300" ], [ "Mahjong 3D: Warriors of the Emperor" ], [ "Mahjong Cub3D" ], [ "Mahjongg Mysteries: Ancient Egypt" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Making History: The Great War" ], [ "Mame Goma: Shiro to Kuro no Meikyuu" ], [ "Man vs. Wild" ], [ "MapleStory DS" ], [ "Marines: Modern Urban Combat" ], [ "Mario & Luigi: Dream Team" ], [ "Mario & Sonic at the London 2012 Olympic Games" ], [ "Mario & Sonic at the London 2012 Olympic Games" ], [ "Mario & Sonic at the Sochi 2014 Olympic Winter Games" ], [ "Mario Golf: World Tour" ], [ "Mario Kart 7" ], [ "Mario Kart 8" ], [ "Mario Party 9" ], [ "Mario Party: Island Tour" ], [ "Mario Sports Mix" ], [ "Mario Tennis" ], [ "Mario Tennis Open" ], [ "Mario vs. Donkey Kong: Mini-Land Mayhem!" ], [ "Martian Panic" ], [ "Marvel Avengers: Battle for Earth" ], [ "Marvel Super Hero Squad: Comic Combat" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Superheroes 3D: Grandmaster's Challenge" ], [ "Mass Effect 3" ], [ "Match 3 Madness" ], [ "Mathews Bowhunting" ], [ "Max & the Magic Marker" ], [ "Max & the Magic Marker" ], [ "Maximum Racing: Crash Car Racer" ], [ "Maximum Racing: Drag & Stock Racer" ], [ "Maximum Racing: GP Classic Racing" ], [ "May's Mystery: Forbidden Memories" ], [ "McDROID" ], [ "Mechanic Master 2" ], [ "Medabots 8" ], [ "Medabots Dual: Kabuto / Kuwagata" ], [ "Medalot 7" ], [ "Medarot DS: Kabuto / Kuwagata Ver." ], [ "Mega Man Zero Collection" ], [ "Megamind: Mega Team Unite" ], [ "Megamind: The Blue Defender" ], [ "Meitantei Conan: Aoki Houseki no Rinbukyoku" ], [ "Metal Fight Beyblade: Bakugami Susanoh Shuurai!" ], [ "Metal Fight Beyblade: Choujou Kessen! Big Bang Bladers" ], [ "Metal Gear Solid: Snake Eater 3D" ], [ "Metal Max 2 Reloaded" ], [ "Metal Max 3" ], [ "Metal Max 4: Gekkou no Diva" ], [ "Metroid: Other M" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience 3D" ], [ "Midnight Mysteries: The Edgar Allan Poe Conspiracy" ], [ "Mind over Matter" ], [ "Minna no Conveni" ], [ "Minna no Ennichi" ], [ "Minna to Kimi no Piramekino!" ], [ "Minute to Win It" ], [ "Minute to Win It" ], [ "Model * Oshare Audition: Dream Girl" ], [ "Momotarou Dentetsu World" ], [ "Momu-chan Diet Wii: Figurobics by Chon Dayon" ], [ "Monkey Madness: Island Escape" ], [ "Monopoly" ], [ "Monopoly Collection" ], [ "Monopoly Streets" ], [ "Monster High 13 Wishes" ], [ "Monster High 13 Wishes" ], [ "Monster High: Ghoul Spirit" ], [ "Monster High: Ghoul Spirit" ], [ "Monster Hunter 4" ], [ "Monster Hunter 4 Ultimate" ], [ "Monster Hunter Tri" ], [ "Monster Hunter Tri" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Tale" ], [ "Moshi Monsters: Katsuma Unleashed" ], [ "Moshi Monsters: Katsuma Unleashed" ], [ "Moshi Monsters: Moshling Zoo" ], [ "Moshi Monsters: Moshlings Theme Park" ], [ "Moshi Monsters: Moshlings Theme Park" ], [ "Motto! Stitch! DS Rhythm de Rakugaki Daisakusen" ], [ "Moxie Girlz" ], [ "Mugen no Frontier: Super Robot Taisen OG Saga EXCEED" ], [ "Murder in Venice" ], [ "Mushi Bugyou" ], [ "My Amusement Park" ], [ "My Baby 3 & Friends" ], [ "My First Dollhouse" ], [ "My First Songs" ], [ "My Fitness Coach: Club" ], [ "My Pet Chimp" ], [ "MySims Collection" ], [ "MySims SkyHeroes" ], [ "MySims SkyHeroes" ], [ "Mystery Case Files: The Malgrave Incident" ], [ "Mystery Stories: Curse of the Ancient Spirits" ], [ "Mystery Tales 2: The Spirit Mask" ], [ "Mystery Tales of Time Travel" ], [ "NASCAR 2011: The Game" ], [ "NASCAR Unleashed" ], [ "NASCAR Unleashed" ], [ "NBA 2K11" ], [ "NBA 2K12" ], [ "NBA 2K13" ], [ "NBA 2K13" ], [ "NBA Jam" ], [ "NCIS" ], [ "NCIS 3D" ], [ "NERF N-Strike: Double Blast Bundle" ], [ "NES Remix" ], [ "NHL 2K11" ], [ "Namco Museum Megamix" ], [ "Nancy Drew: The Model Mysteries" ], [ "Nano Assault" ], [ "Naruto Shippuden 3D: The New Era" ], [ "Naruto Shippuden: Gekito Ninja Taisen! Special" ], [ "Naruto Shippuden: Shinobi Rumble" ], [ "Naruto: Powerful Shippuden" ], [ "NatGeo Challenge! Wild Life" ], [ "Natalie Brooks: Mystery at Hillcrest High" ], [ "National Geographic Challenge!" ], [ "Nazo Waku Yakata: Oto no Ma ni Ma ni" ], [ "Nazotoki Battle Tore! Densetsu no Makyuu o Fukkatsu Saseyo! " ], [ "Need for Speed: Hot Pursuit" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: The Run" ], [ "Need for Speed: The Run" ], [ "Nekketsu Kouha Kunio-Kun SP: Rantou Kyousoukyoku" ], [ "Nettou! Powerful Koushien" ], [ "New Carnival Games" ], [ "New Carnival Games" ], [ "New Love Plus" ], [ "New Super Luigi U" ], [ "New Super Mario Bros. 2" ], [ "New Super Mario Bros. U" ], [ "NewU Fitness First Mind Body, Yoga & Pilates Workout" ], [ "Nickelodeon Dance" ], [ "Nickelodeon Fit" ], [ "Nickelodeon Team Umizoomi" ], [ "Nicktoons: MLB" ], [ "Nicktoons: MLB" ], [ "Nicola Kanshuu: Model * Oshare Audition" ], [ "Nicola Kanshuu: Model * Oshare Audition 2" ], [ "Nicola Kanshuu: Model Oshare * Audition Platina" ], [ "Nikoli's Pencil Puzzle" ], [ "Ninja Gaiden 3" ], [ "Ninokuni: Shikkoku no Madoushi" ], [ "Nintendo Land" ], [ "Nintendogs + cats" ], [ "Nintendogs and Cats Golden Retriever and New Friends" ], [ "No More Heroes 2: Desperate Struggle" ], [ "Nobunaga's Ambition (3DS)" ], [ "Nodame Cantabile: Tanoshii Ongaku no Jikan Desu" ], [ "Noddy in Toyland" ], [ "Nora to Koku no Koubou: Kiri no Mori no Majo" ], [ "North American Hunting Extravaganza 2" ], [ "Now! That's What I Call Music: Dance & Sing" ], [ "OK! Puzzle Stars" ], [ "Odoru Daisousasen The Game: Sensuikan ni Sennyuu Seyo!" ], [ "OkamiDen" ], [ "One Piece Unlimited Cruise SP" ], [ "One Piece: Gigant Battle 2 Shin Sekai" ], [ "One Piece: Gigant Battle!" ], [ "One Piece: Romance Dawn - Bouken no Yoake" ], [ "One Piece: Super Grand Battle! X" ], [ "One Piece: Unlimited World Red" ], [ "One Piece: Unlimited World Red" ], [ "Onna no Ko to Misshitsu ni Itara **shichau Kamoshirenai" ], [ "Order Up!!" ], [ "Ore-Sama Kingdom: Koi no Manga mo Debut o Mokushise! Doki Doki Love Lesson" ], [ "Original Story from Fairy Tail: Gekitotsu! Kardia Daiseidou" ], [ "Otona no Renai Shousetsu: Harlequin Selection" ], [ "Ouchi Mainichi Tamagotchi" ], [ "Outdoors Unleashed: Africa 3D" ], [ "Outdoors Unleashed: Alaska 3D" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PDC World Championship Darts: Pro Tour" ], [ "Pac-Man & Galaga Dimensions" ], [ "Pac-Man Party" ], [ "Pac-Man Party 3D" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "PachiPara 3D" ], [ "PachiPara 3D: Ooumi Monogatari 2 - Pachi Pro Fuuunroku Hana" ], [ "Pandora's Tower" ], [ "Paper Mario: Sticker Star" ], [ "Paws & Claws: Marine Rescue" ], [ "Paws & Claws: Pampered Pets 2" ], [ "Paws & Claws: Regal Resort" ], [ "Pe-Jongju to Manabu Kankokugo DS: Test-Hen" ], [ "Penguin no Mondai: The World" ], [ "Penguins of Madagascar" ], [ "Penguins of Madagascar" ], [ "Penguins of Madagascar" ], [ "Peppa Pig: Fun and Games" ], [ "Peppa Pig: Fun and Games" ], [ "Peppa Pig: Theme Park Fun" ], [ "Percy Jackson and the Olympians: The Lightning Thief" ], [ "Persona Q: Shadow of the Labyrinth" ], [ "Pet Pals: New Leash on Life" ], [ "Pet Shop Monogatari DS 2" ], [ "Petz Bunnyz Bunch" ], [ "Petz Fantasy 3D" ], [ "Petz Fantasy: Moonlight Magic" ], [ "Petz Fantasy: Sunshine Magic" ], [ "Petz Puppyz & Kittenz" ], [ "Petz: Catz Playground" ], [ "Pheasants Forever Wingshooter" ], [ "Phineas and Ferb Ride Again" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "Phoenix Wright: Ace Attorney - Dual Destinies" ], [ "Phoenix Wright: Ace Attorney Trilogy" ], [ "Pictionary" ], [ "Pictionary" ], [ "Pikmin 3" ], [ "Pillow Pets" ], [ "PilotWings Resort" ], [ "Pinball Hall of Fame: The Williams Collection" ], [ "Pinkalicious" ], [ "Pirates PlundArrr" ], [ "Pizza Delivery Boy" ], [ "Plants vs. Zombies" ], [ "Playmobil Top Agents" ], [ "Pocket Soccer League: Calciobit" ], [ "PokePark 2: Wonders Beyond" ], [ "Pokemon Art Academy " ], [ "Pokemon Black 2/Pokemon White 2" ], [ "Pokemon Black/Pokemon White" ], [ "Pokemon Conquest" ], [ "Pokemon Mystery Dungeon: Gates to Infinity" ], [ "Pokemon Omega Ruby/Pokemon Alpha Sapphire" ], [ "Pokemon Ranger: Guardian Signs" ], [ "Pokemon Rumble Blast" ], [ "Pokemon X/Pokemon Y" ], [ "Poupee Girl DS 2: Elegant Mint / Sweet Pink Style" ], [ "Power Pro Kun Pocket 13" ], [ "Power Pro Kun Pocket 14" ], [ "Power Rangers Samurai" ], [ "Power Rangers Samurai" ], [ "Power Rangers Super Megaforce " ], [ "Powerful Golf" ], [ "Poyo Poyo Kansatsu Nikki" ], [ "Pretty Cure All Stars Everyone Gather ? Let's Dance!" ], [ "Pretty Rhythm Rainbow Live: Kira Kira My * Design" ], [ "Pretty Rhythm: My Deco Rainbow Wedding" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Princess Isabella: A Witch's Curse" ], [ "Princess Isabella: A Witch's Curse" ], [ "Pro Evolution Soccer 2011 3D" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yakyuu Famista 2011" ], [ "Pro Yakyuu Famista DS 2010" ], [ "Professor Layton and the Azran Legacy" ], [ "Professor Layton and the Mask of Miracle" ], [ "Professor Layton vs Phoenix Wright: Ace Attorney" ], [ "Project Runway" ], [ "Project X Zone" ], [ "Pucca Power Up" ], [ "Puppies 3D" ], [ "Puss in Boots" ], [ "Puss in Boots" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo!! 20th Anniversary" ], [ "Puyo Puyo!! 20th Anniversary" ], [ "Puzzle & Dragons" ], [ "Puzzle Quest 2" ], [ "Puzzler Brain Games" ], [ "Puzzler Mind Gym 3D" ], [ "Puzzler World 2" ], [ "QUIZ PARTY" ], [ "Quiz Magic Academy DS: Futatsu no Jikuu Koku" ], [ "Quiz Present Variety Q-Sama!! DS: Pressure Study x Atama Gai Kunaru Drill SP" ], [ "Quiz! Hexagon II" ], [ "RPG Tsukuru DS" ], [ "Rabbids Land" ], [ "Rabbids Party Collection" ], [ "Racquet Sports" ], [ "Radiant Historia" ], [ "Rango: The Video Game" ], [ "Rango: The Video Game" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Raving Rabbids: Travel in Time" ], [ "Raving Rabbids: Travel in Time 3D" ], [ "Rayman 3D" ], [ "Rayman Legends" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Reader Rabbit 1st Grade" ], [ "Reader Rabbit Kindergarten" ], [ "Real Crimes: The Unicorn Killer" ], [ "Rec Room Games" ], [ "Red Steel 2" ], [ "Red Stone DS: Akaki Ishi ni Michibikareshi Monotachi" ], [ "Reel Fishing Paradise 3D" ], [ "Reload: Target Down" ], [ "Remington Super Slam Hunting: Africa" ], [ "Remington Super Slam Hunting: Alaska" ], [ "Remington Super Slam Hunting: North America" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: The Mercenaries 3D" ], [ "Rhythm Thief & the Emperor's Treasure" ], [ "Ridge Racer 3D" ], [ "Riding Stables: The Whitakers present Milton and Friends" ], [ "Rio" ], [ "Rio" ], [ "River City Soccer Hooligans" ], [ "River City Super Sports Challenge" ], [ "Rock Band 3" ], [ "Rock Band 3" ], [ "Rock Band Country Track Pack 2" ], [ "Rock Blast" ], [ "Romance of the Three Kingdoms (3DS)" ], [ "Romance of the Three Kingdoms XII" ], [ "Rooms: The Main Building" ], [ "Rooms: The Main Building" ], [ "Rudolph the Red-Nosed Reindeer" ], [ "Rudolph the Red-Nosed Reindeer" ], [ "Rugby League 3" ], [ "Rune Factory 4" ], [ "Rune Factory: Tides of Destiny" ], [ "SD Gundam G Generation 3D" ], [ "SD Gundam G Generation World" ], [ "SD Gundam Sangokuden Brave Battle Warriors: Shin Mirisha Taisen" ], [ "SD Gundam: Gashapon Wars" ], [ "SaGa 3: Jikuu no Hasha - Shadow or Light" ], [ "Sakura Wars: So Long, My Love" ], [ "Sam & Max: Beyond Time and Space" ], [ "Samantha Swift and the Hidden Roses of Athena" ], [ "Samurai Warriors Chronicles" ], [ "Samurai Warriors Chronicles 2nd" ], [ "Samurai Warriors Chronicles 3" ], [ "San Goku Shi DS 3" ], [ "Santa Claus Is Comin' to Town!" ], [ "Santa Claus Is Comin' to Town!" ], [ "Satisfashion" ], [ "Satisfashion" ], [ "Scene It? Twilight" ], [ "Schlag den Raab" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Scribblenauts Unmasked: A DC Comics Adventure" ], [ "Scribblenauts Unmasked: A DC Comics Adventure" ], [ "Scribblenauts: Unlimited" ], [ "Scribblenauts: Unlimited" ], [ "Scripps Spelling Bee" ], [ "Sea Park Tycoon" ], [ "Secrets of the Titanic" ], [ "Seisou no Amazones" ], [ "Seitokai no Ichizon: DS-suru Seitokai" ], [ "Sekai no Hate Made Itte Q! Chinjuu Hunter Mono no Daibouken" ], [ "Sengoku Basara 3 Utage" ], [ "Sengoku Basara: Samurai Heroes" ], [ "Sengoku Musou 3: Moushouden " ], [ "Senran Kagura 2: Deep Crimson " ], [ "Senran Kagura Burst: Guren no Sh?jo-tachi" ], [ "Senran Kagura: Sh?jo-tachi no Shinei" ], [ "Sentouchu: Densetsu no Shinobi to Survival Battle!" ], [ "Sesame Street: Cookie's Counting Carnival" ], [ "Sesame Street: Cookie's Counting Carnival" ], [ "Sesame Street: Elmo's A-to-Zoo Adventure" ], [ "Sesame Street: Elmo's A-to-Zoo Adventure" ], [ "Sesame Street: Ready, Set, Grover!" ], [ "Sesame Street: Ready, Set, Grover!" ], [ "Shaun White Skateboarding" ], [ "Shawn Johnson Gymnastics" ], [ "Sherlock Holmes and the Mystery of Osborne House" ], [ "Sherlock Holmes: Secret of The Silver Earring" ], [ "Shin Megami Tensei IV" ], [ "Shin Megami Tensei: Devil Summoner - Soul Hackers" ], [ "Shin Megami Tensei: Devil Survivor 2" ], [ "Shin Megami Tensei: Devil Survivor Overclocked" ], [ "Shinobi" ], [ "Shiren the Wanderer 4 - God's Eye and the Demon's Navel" ], [ "Shrek: Forever After" ], [ "Shrek: Forever After" ], [ "Sid Meier's Pirates!" ], [ "Silly Bandz: Play The Craze" ], [ "Silverlicious" ], [ "Sing Party" ], [ "Sing4: The Hits Edition" ], [ "Skylanders Giants" ], [ "Skylanders Giants" ], [ "Skylanders Giants" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Sled Shred featuring the Jamaican Bobsled Team" ], [ "Slime MoriMori Dragon Quest 3: Taikaizoku to Shippo Dan" ], [ "Smile PreCure! Let's Go! Marchen World" ], [ "Sniper Elite" ], [ "Sniper Elite V2" ], [ "Soccer Tsuku DS: World Challenge 2010" ], [ "Solatorobo: Red the Hunter" ], [ "Solitaire Overload Plus" ], [ "SoniPro" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & Sega All-Stars Racing" ], [ "Sonic & Sega All-Stars Racing" ], [ "Sonic Boom: Rise of Lyric" ], [ "Sonic Boom: Shattered Crystal" ], [ "Sonic Classic Collection" ], [ "Sonic Colors" ], [ "Sonic Colors" ], [ "Sonic Generations" ], [ "Sonic Lost World" ], [ "Sonic Lost World" ], [ "Sonny with a Chance" ], [ "Sora no Otoshimono Forte: Dreamy Season" ], [ "Speed" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spirit Camera: The Cursed Memoir" ], [ "SpongeBob SquarePants: Plankton's Robotic Revenge" ], [ "SpongeBob SquarePants: Plankton's Robotic Revenge" ], [ "SpongeBob SquigglePants" ], [ "SpongeBob SquigglePants 3D" ], [ "SpongeBob's Boating Bash" ], [ "SpongeBob's Boating Bash" ], [ "SpongeBob's Surf & Skate Roadtrip" ], [ "Sports Collection" ], [ "Squinkies" ], [ "Squinkies 2: Adventure Mall Surprize!" ], [ "Squishy Tank" ], [ "Star Fox 64 3D" ], [ "Star Wars: The Force Unleashed II" ], [ "Star Wars: The Force Unleashed II" ], [ "Steel Diver" ], [ "Story of Seasons" ], [ "Strike Witches 2: Iyasu Naosu Punipunisuru" ], [ "Style Savvy: Trendsetters" ], [ "Suite PreCure: Melody Collection" ], [ "Sumikko Gurashi: Koko ga Ochitsukundesu" ], [ "Summer Challenge: Athletics Tournament" ], [ "Super Mario 3D Land" ], [ "Super Mario 3D World" ], [ "Super Mario All-Stars: Limited Edition" ], [ "Super Mario Galaxy 2" ], [ "Super Monkey Ball 3D" ], [ "Super Monkey Ball: Step & Roll" ], [ "Super Robot Taisen L" ], [ "Super Robot Taisen UX" ], [ "Super Robot Wars OG Saga: Masou Kishin - The Lord of Elemental" ], [ "Super Scribblenauts" ], [ "Super Sentai Battle: Ranger Cross" ], [ "Super Smash Bros. for Wii U and 3DS" ], [ "Super Smash Bros. for Wii U and 3DS" ], [ "Super Street Fighter IV: 3D Edition" ], [ "Sushi Go-Round" ], [ "Sushi Go-Round" ], [ "T.A.C. Heroes : Big Red One" ], [ "TNA iMPACT: Cross the Line" ], [ "TRON: Evolution" ], [ "TRON: Evolution - Battle Grids" ], [ "TV Anime: Fairy Tale Gekitou! Madoushi Kessen" ], [ "TV Total Events" ], [ "Taiko Drum Master: Don and Katsu's Space-Time Great Adventure" ], [ "Taiko Drum Master: Tokumori!" ], [ "Taiko no Tatsujin DS: Dororon! Youkai Daikessen!!" ], [ "Taiko no Tatsujin Wii: Ketteiban" ], [ "Taiko no Tatsujin Wii: Minna de Party * 3-Yome!" ], [ "Taiko no Tatsujin: Chibi Dragon to Fushigi na Orb" ], [ "Taiko no Tatsujin: Wii U Version!" ], [ "Tales of the Abyss" ], [ "Tales of the World: Reve Unitia" ], [ "Tamagotchi Collection" ], [ "Tamagotchi no Doki Doki Dream Omisecchi" ], [ "Tamagotchi no Narikiri Challenge" ], [ "Tamagotchi no Pichi Pichi Omisecchi" ], [ "Tank! Tank! Tank!" ], [ "Tatsunoko vs. Capcom: Ultimate All-Stars" ], [ "Teenage Mutant Ninja Turtles (3DS)" ], [ "Teenage Mutant Ninja Turtles: Danger of the Ooze" ], [ "Tekken 3D: Prime Edition" ], [ "Tekken Tag Tournament 2" ], [ "Tenkai Knights: Brave Battle" ], [ "Tenkaichi * Sengoku Lovers" ], [ "Tennis no Oji-Sama Gyutto! 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The Ultimate Music Quiz" ], [ "CSI: Fatal Conspiracy" ], [ "CV Casting Voice" ], [ "Cabela's Adventure Camp" ], [ "Cabela's Big Game Hunter 2012" ], [ "Cabela's Big Game Hunter: Pro Hunts" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's Survival: Shadows of Katmai" ], [ "Call of Duty Black Ops: Declassified" ], [ "Call of Duty: Advanced Warfare" ], [ "Call of Duty: Advanced Warfare" ], [ "Call of Duty: Black Ops" ], [ "Call of Duty: Black Ops II" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Modern Warfare 3" ], [ "Call of Juarez: The Cartel" ], [ "Captain America: Super Soldier" ], [ "Captain Morgane and the Golden Turtle" ], [ "Carnage Heart EXA" ], [ "Carnival Island" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cartoon Network: Punch Time Explosion XL" ], [ "Castlevania: Lords of Shadow" ], [ "Castlevania: Lords of Shadow - Reverie" ], [ "Castlevania: Lords of Shadow 2" ], [ "Catherine" ], [ "Champion Jockey: G1 Jockey & Gallop Racer" ], [ "Chaos Rings III" ], [ "Chaos;Head - Love Chu*Chu!" ], [ "Chaos;Head Noah" ], [ "Chaos;Head Noah" ], [ "Child of Eden" ], [ "Child of Light" ], [ "Child of Light" ], [ "Chou Jigen Game Neptune Mk-II" ], [ "Choujikuu Yousai Macross: Do You Remember Love" ], [ "Ciel Nosurge: Ushinawareta Hoshi e Sasagu Uta" ], [ "Clannad" ], [ "Clannad: Mitsumi Mamoru Sakamichi de - Gekan" ], [ "Clannad: Mitsumi Mamoru Sakamichi de - Joukan" ], [ "Clash of the Titans" ], [ "Classic Dungeon X2" ], [ "Classic Dungeon: Fuyoku no Masoujin" ], [ "Clock Zero: Shuuen no Ichibyou Portable" ], [ "Clover no Kuni no Alice: Wonderful Wonder World" ], [ "Clover no Kuni no Alice: Wonderful Wonder World" ], [ "Code:Realize - Sousei no Himegimi" ], [ "Conception II: Children of the Seven Stars" ], [ "Conception: Please Give Birth to My Child!" ], [ "Corpse Party: Blood Covered - Repeated Fear" ], [ "Corpse Party: Blood Drive" ], [ "Corpse Party: Book of Shadows" ], [ "Create" ], [ "Criminal Girls: Invite Only" ], [ "Criminal Girls: Invite Only" ], [ "Cross + Channel" ], [ "Crysis 2" ], [ "Crysis 3" ], [ "Custom Drive" ], [ "D.C. III: Da Capo III" ], [ "DC Universe Online" ], [ "DJ Hero 2" ], [ "DJ Max Portable 3" ], [ "DJ Max Technika Tune" ], [ "Da Capo I & II Plus Situation Portable" ], [ "Dai-2-Ji Super Robot Taisen OG" ], [ "Dai-2-Ji Super Robot Taisen Z Saisei-hen" ], [ "Dai-2-Ji Super Robot Taisen Z: Hakai-hen" ], [ "Daito Giken Koushiki Pachi-Slot Simulator Hihouden: Taiyou o Motomeru Monotachi" ], [ "Daito Giken Koushiki Pachi-Slot Simulator: Hihouden - Fuujirareta Megami Portable" ], [ "Daito Giken Koushiki Pachi-Slot Simulator: Ossu! Misao + Maguro Densetsu Portable" ], [ "Daiya no Kuni no Alice: Wonderful Mirror World" ], [ "Danball Senki" ], [ "Danball Senki Boost" ], [ "Dance on Broadway" ], [ "Dance! It's Your Stage" ], [ "DanceDanceRevolution" ], [ "DanceStar Party" ], [ "Danganronpa 2: Goodbye Despair" ], [ "Danganronpa 2: Goodbye Despair" ], [ "Danganronpa Another Episode: Ultra Despair Girls" ], [ "Danganronpa: Trigger Happy Havoc" ], [ "Dante's Inferno" ], [ "Dante's Inferno" ], [ "Dark Souls" ], [ "Dark Souls II" ], [ "Dark Void" ], [ "Darksiders" ], [ "Darksiders II" ], [ "Darkstalkers Resurrection" ], [ "Date A Live: Arusu Install" ], [ "Date A Live: Rine Utopia" ], [ "Dead Island" ], [ "Dead Island: Riptide" ], [ "Dead Rising 2" ], [ "Dead Rising 2: Off the Record" ], [ "Dead Space 2" ], [ "Dead Space 3" ], [ "Dead or Alive 5" ], [ "Dead or Alive 5" ], [ "Dead or Alive Paradise" ], [ "Dead to Rights: Retribution" ], [ "Deadliest Catch: Sea of Chaos" ], [ "Deadliest Warrior: Ancient Combat" ], [ "Deadly Premonition" ], [ "Deadpool" ], [ "Death Connection Portable" ], [ "Deception IV: Blood Ties" ], [ "Deception IV: Blood Ties" ], [ "Def Jam Rapstar" ], [ "Defiance" ], [ "Demon Gaze" ], [ "Demon Gaze 2" ], [ "Dengeki Bunko Fighting Climax" ], [ "Dengeki Bunko Fighting Climax" ], [ "Densetsu no Yuusha no Densetsu: Legendary Saga" ], [ "Despicable Me: The Game" ], [ "Despicable Me: The Game" ], [ "Destiny" ], [ "Destiny" ], [ "Detective Conan: Prelude from the Past" ], [ "Detective Opera: Milky Holmes 2" ], [ "Deus Ex: Human Revolution" ], [ "Devil May Cry HD Collection" ], [ "DiRT 3" ], [ "DiRT Showdown" ], [ "Diablo III" ], [ "Diablo III" ], [ "Diabolik Lovers" ], [ "Diabolik Lovers: More Blood" ], [ "Diabolik Lovers: Vandead Carnival" ], [ "Dies Irae: Amantes Amentes" ], [ "Digimon Adventure" ], [ "Digimon All-Star Rumble" ], [ "Digimon World Re:Digitize" ], [ "Disgaea 4: A Promise Unforgotten" ], [ "Disgaea 4: A Promise Unforgotten" ], [ "Disgaea D2: A Brighter Darkness" ], [ "Disgaea Infinite" ], [ "Dishonored" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Sing It: Family Hits" ], [ "Disney Sing It: Party Hits" ], [ "Disney Universe" ], [ "Dissidia 012: Duodecim Final Fantasy" ], [ "DmC: Devil May Cry" ], [ "Doki-Doki Universe" ], [ "DokuSui: DokiDoki Suikoden" ], [ "Dokuro" ], [ "Don Bradman Cricket 14" ], [ "Doom 3 BFG Edition" ], [ "Dora's Big Birthday Adventure" ], [ "Dragon Age II" ], [ "Dragon Age Origins: Awakening" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Inquisition" ], [ "Dragon Ball Z: Battle of Z" ], [ "Dragon Ball Z: Battle of Z" ], [ "Dragon Ball Z: Tenkaichi Tag Team" ], [ "Dragon Ball Z: Ultimate Tenkaichi" ], [ "Dragon Ball: Raging Blast 2" ], [ "Dragon's Crown" ], [ "Dragon's Crown" ], [ "Dragon's Dogma" ], [ "Drakengard 3" ], [ "Dramatical Murder Re:code" ], [ "Dream C Club" ], [ "Dream C Club Portable" ], [ "Dream C Club: GoGo " ], [ "Dream Club Zero Portable" ], [ "DreamWorks Super Star Kartz" ], [ "DriveClub" ], [ "Driver: San Francisco" ], [ "DuckTales: Remastered" ], [ "Duke Nukem Forever" ], [ "Dunamis 15" ], [ "Dungeon Hunter Alliance" ], [ "Dungeon Siege III" ], [ "Dungeon Travelers 2: The Royal Library & The Monster Seal" ], [ "Dungeon Travelers 2: The Royal Library & The Monster Seal" ], [ "Dungeons & Dragons: Shadow over Mystara" ], [ "Durarara!! 3-way Standoff" ], [ "Durarara!! 3way Standoff: Alley" ], [ "Dynasty Warriors 7" ], [ "Dynasty Warriors 7: Empires" ], [ "Dynasty Warriors 7: Xtreme Legends" ], [ "Dynasty Warriors 8" ], [ "Dynasty Warriors 8: Empires" ], [ "Dynasty Warriors 8: Empires" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors Next" ], [ "Dynasty Warriors: Gundam 3" ], [ "Dynasty Warriors: Gundam Reborn" ], [ "Dynasty Warriors: Gundam Reborn" ], [ "E.X. Troopers" ], [ "EA Sports Active 2" ], [ "EA Sports MMA" ], [ "EA Sports UFC" ], [ "ESA Game Pack" ], [ "Earth Defense Force 2017 Portable" ], [ "Earth Defense Force 2025" ], [ "Earth Defense Force 2: Invaders from Planet Space" ], [ "Earth Defense Force 2: Invaders from Planet Space" ], [ "Earth Defense Force: Insect Armageddon" ], [ "El Shaddai: Ascension of the Metatron" ], [ "Elkrone no Atelier: Dear for Otomate" ], [ "Elminage Gothic: Ulm Zakir to Yami no Gishiki" ], [ "Elminage III: Ankoku no Shito to Yaiyou no Kyuuden" ], [ "Elminage Original: Majo to Megami to Kamigami no Yubiwa" ], [ "Enemy Front" ], [ "Enslaved: Odyssey to the West" ], [ "Entaku no Seito: The Eternal Legend" ], [ "Epic Mickey 2: The Power of Two" ], [ "Escape Dead Island" ], [ "Eureka Seven AO: Jungfrau no Hanabanatachi" ], [ "Even in a Game Listen to Me Girls. I Am Your Father!" ], [ "Everybody Dance" ], [ "Exstetra" ], [ "EyePet" ], [ "EyePet & Friends" ], [ "F.E.A.R. 3" ], [ "F1 2010" ], [ "F1 2011" ], [ "F1 2011" ], [ "F1 2012" ], [ "F1 2013" ], [ "F1 2014" ], [ "F1 Race Stars" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA Soccer" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Street" ], [ "FairlyLife: MiracleDays" ], [ "Fairy Fencer F" ], [ "Fairy Tail: Portable Guild" ], [ "Fairy Tail: Portable Guild 2" ], [ "Fairy Tail: Zelef Kakusei" ], [ "Fallout: New Vegas" ], [ "Family Game Night 4: The Game Show" ], [ "Family Guy: Back to the Multiverse" ], [ "Far Cry 3" ], [ "Far Cry 4" ], [ "Far Cry 4" ], [ "Farming Simulator 2013" ], [ "Farming Simulator 2014" ], [ "Fast & Furious: Showdown" ], [ "Fat Princess: Fistful of Cake" ], [ "Fate/Extra" ], [ "Fate/Extra CCC" ], [ "Fate/Stay Night [Réalta Nua]" ], [ "Fate/hollow ataraxia" ], [ "Fight Night Champion" ], [ "Final Fantasy III" ], [ "Final Fantasy IV: The Complete Collection" ], [ "Final Fantasy Type-0" ], [ "Final Fantasy X / X-2 HD Remaster" ], [ "Final Fantasy X / X-2 HD Remaster" ], [ "Final Fantasy XIII-2" ], [ "Final Fantasy XIV: A Realm Reborn" ], [ "Final Fantasy XIV: A Realm Reborn" ], [ "Fist of the North Star: Ken's Rage" ], [ "Fist of the North Star: Ken's Rage 2" ], [ "Fit in Six" ], [ "Football Manager 2012" ], [ "Football Manager 2014" ], [ "Football Manager Handheld 2011" ], [ "Freedom Wars" ], [ "Front Mission Evolved" ], [ "Frontier Gate" ], [ "Fuse (Insomniac)" ], [ "Fushigi no Dungeon: Fuurai no Shiren 3 Portable" ], [ "GA - Geijutsuka Art Design Class: Slapstick Wonder Land" ], [ "GRID 2" ], [ "GRID Autosport" ], [ "GachiTora! Abarenbou Kyoushi in High School" ], [ "Gaku ? Ou: The Royal Seven Stars" ], [ "Gakuen Hetalia Portable" ], [ "Gakuen K: Wonderful School Days" ], [ "Gal Gun" ], [ "Game of Thrones" ], [ "Gekiatsu!! Pachi Game Tamashi Max: Evangelion 7 x Seimei no Kodou" ], [ "Gekiatsu!! Pachi Game Tamashi Vol. 1: CR Evangelion - Shinjitsu no Tsubasa" ], [ "Gekiatsu!! Pachi Game Tamashi Vol. 2: CR Evangelion - Shinjitsu no Tsubasa" ], [ "Gekiatsu!! Pachi Game Tamashi: CR Evangelion - Hajimari no Fukuin" ], [ "Gekijouban Macross F: Itsuwarino Utahime - Hybrid Pack" ], [ "Gekijouban Macross F: Sayonara no Tsubasa - Hybrid Pack" ], [ "Gekijouban Madoka Magicka: The Battle Pentagram" ], [ "Gekka Ryouran Romance" ], [ "Generator Rex: Agent of Providence" ], [ "Genkai Tokki Monster Monpiece" ], [ "Genkai Totsuki Moero Chronicle" ], [ "Genroh" ], [ "Get Fit with Mel B" ], [ "Get Up and Dance" ], [ "Geten no Hana" ], [ "Geten no Hana: Yume Akari" ], [ "Getsuei Gakuen: kou" ], [ "Ghostbusters: The Video Game (DS Version)" ], [ "Gintama no Sugoroku" ], [ "Girls und Panzer: I Will Master Tankery" ], [ "Gladiator Begins" ], [ "Gloria Union" ], [ "God Eater" ], [ "God Eater 2" ], [ "God Eater 2" ], [ "God of War Collection" ], [ "God of War III" ], [ "God of War Saga" ], [ "God of War: Ascension" ], [ "God of War: Ghost of Sparta" ], [ "God of War: Origins Collection" ], [ "Gods Eater Burst" ], [ "Godzilla (2014)" ], [ "Godzilla (2015)" ], [ "Golden Time: Vivid Memories" ], [ "Goldeneye 007: Reloaded" ], [ "Gran Turismo 5" ], [ "Gran Turismo 6" ], [ "Grand Knights History" ], [ "Grand Slam Tennis 2" ], [ "Grand Theft Auto V" ], [ "Grand Theft Auto V" ], [ "Gravity Rush" ], [ "Grease Dance" ], [ "Great Battle Full Blast" ], [ "Great Edo Blacksmith" ], [ "Green Day: Rock Band" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Greg Hastings Paintball 2" ], [ "Grisaia no Kajitsu: La Fruit de la Grisaia" ], [ "Grisaia no Meikyuu: Le Labyrinthe de la Grisaia" ], [ "Grisaia no Rakuen: Le Eden de la Grisaia" ], [ "Growlanser IV: Over Reloaded" ], [ "Guilty Gear Xrd: Sign" ], [ "Guilty Gear Xrd: Sign" ], [ "Guitar Hero: Warriors of Rock" ], [ "Gundam Assault Survive" ], [ "Gundam Breaker" ], [ "Gundam Breaker" ], [ "Gundam Breaker 2" ], [ "Gundam Breaker 2" ], [ "Gundam Memories: Tatakai no Kioku" ], [ "Gungnir: Mayari no Gunshin to Eiyuu Sensou" ], [ "Hagane no Renkinjutsushi - Fullmetal Alchemist: Yakusoku no Hi e" ], [ "Hajime no Ippo: The Fighting! (2014)" ], [ "Hakuoki: Stories of the Shinsengumi" ], [ "Hakuouki SSL: Sweet School Life" ], [ "Hakuouki: Bakumatsu Musou Roku" ], [ "Hakuouki: Reimeiroku" ], [ "Hakuouki: Reimeiroku Portable" ], [ "Hakuouki: Yuugi Roku" ], [ "Hakuouki: Yuugi Roku Ni - Matsuri Hayashi to Taishitachi" ], [ "Hakuouki: Zuisouroku Portable" ], [ "Hana to Otome ni Shukufuku o: Harekaze no Okurimono" ], [ "Hanaoni: Koisomeru Koku - Eikyuu no Shirushi" ], [ "Hanaoni: Yume no Tsudzuki" ], [ "Hanasaku Manimani" ], [ "Hanayaka Kana, Ware ga Ichizoku" ], [ "Hanayaka Kana, Ware ga Ichizoku Twin Pack" ], [ "Hanayaka Kana, Ware ga Ichizoku: Tasogare Polarstar" ], [ "Hanayamata: Yosakoi Live" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harukanaru Toki no Naka de 4: Aizouban" ], [ "Harukanaru Toki no Naka de 5" ], [ "Harukanaru Toki no Naka de 5: Kazahanaki" ], [ "Hasbro Family Game Night 3" ], [ "HatsuKare * Renai Debut Sengen!" ], [ "Hatsune Miku: Project Diva 2nd" ], [ "Hatsune Miku: Project Diva Extend" ], [ "Hatsune Miku: Project Diva F 2nd" ], [ "Hatsune Miku: Project Diva F 2nd" ], [ "Hatsune Miku: Project Diva f" ], [ "Hatsune Miku: Project Diva f" ], [ "Heart no Kuni no Alice Anniversary Ver.: Wonderful Wonder World" ], [ "Heart no Kuni no Alice: Wonderful Twin World" ], [ "Heavy Fire: Afghanistan" ], [ "Heavy Rain" ], [ "Heroes Phantasia" ], [ "Heroes VS" ], [ "High Velocity Bowling" ], [ "Hiiro no Kakera: Shin Tamayori Hime Denshou - Piece of Future" ], [ "Hiiro no Kakera: Shin Tamayori Hime Denshou Portable" ], [ "Himawari: Pebble in the Sky Portable" ], [ "Hisshou Pachinko * Pachi-Slot Kouryaku Series Portable Vol. 2: CR Evangelion - Hajimari no Fukuin" ], [ "Hisshou Pachinko*Pachi-Slot Kouryaku Series Portable Vol. 1: Shinseiki Evangelion - Tamashii no Kiseki" ], [ "Hitman: Absolution" ], [ "Hitman: HD Trilogy" ], [ "Homefront" ], [ "Hot Shots Golf: World Invitational" ], [ "Hot Shots Golf: World Invitational" ], [ "Hot Shots Tennis: Get a Grip" ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon 2" ], [ "Hunted: The Demon's Forge" ], [ "Hunter x Hunter: Wonder Adventure" ], [ "Hyakki Yagyou Kaidan Romance" ], [ "Hyakumanton no Bara Bara" ], [ "Hyperdevotion Noire: Goddess Black Heart" ], [ "Hyperdimension Idol Neptunia PP" ], [ "Hyperdimension Neptunia" ], [ "Hyperdimension Neptunia" ], [ "Hyperdimension Neptunia Re;Birth 2" ], [ "Hyperdimension Neptunia Re;Birth 3" ], [ "Hyperdimension Neptunia U: Action Unleashed" ], [ "Hyperdimension Neptunia Victory" ], [ "Hyperdimension Neptunia Victory" ], [ "Hyperdimension Neptunia mk2" ], [ "I Am In The Movie" ], [ "I Don't Have Many Friends Portable" ], [ "ICO" ], [ "Ikki Tousen: Xross Impact" ], [ "Infamous: First Light" ], [ "Infinite Stratos 2: Ignition Hearts" ], [ "Infinite Stratos 2: Ignition Hearts" ], [ "Injustice: Gods Among Us" ], [ "Injustice: Gods Among Us" ], [ "Injustice: Gods Among Us" ], [ "International Cricket 2010" ], [ "Inversion" ], [ "Invizimals: Shadow Zone" ], [ "Invizimals: The Alliance" ], [ "Invizimals: The Lost Kingdom" ], [ "Invizimals: The Lost Tribes" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Ishin Renka: Ryouma Gaiden" ], [ "Isshoni Gohan. Portable" ], [ "Iza, Shutsujin! Koisen" ], [ "J Stars Victory Vs." ], [ "J Stars Victory Vs." ], [ "J-League Pro Soccer Club o Tsukurou! 7 Euro Plus" ], [ "J-League Winning Eleven 2010: Club Championship" ], [ "J.League Pro Soccer Club o Tsukurou! 8 Euro Plus" ], [ "JASF: Jane's Advanced Strike Fighters" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Legends" ], [ "Jikandia: The Timeless Land" ], [ "Jikkyou Powerful Pro Yakyuu 2010" ], [ "Jikkyou Powerful Pro Yakyuu 2010" ], [ "Jikkyou Powerful Pro Yakyuu 2011" ], [ "Jikkyou Powerful Pro Yakyuu 2011" ], [ "Jikkyou Powerful Pro Yakyuu 2011 Ketteiban" ], [ "Jikkyou Powerful Pro Yakyuu 2011 Ketteiban" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2014" ], [ "Jikkyou Powerful Pro Yakyuu 2014" ], [ "Jimmie Johnson's Anything With an Engine" ], [ "Jissen Pachislot Secrets! Fist of the North Star F - Seikimatsu Kyuuseishu Densetsu" ], [ "JoJo's Bizarre Adventure: All Star Battle" ], [ "John Daly's ProStroke Golf" ], [ "Joker no Kuni no Alice: Wonderful Wonder World" ], [ "Journey" ], [ "Judie no Atelier: Guramnat no Renkinjutsu - Toraware no Morito" ], [ "Just Cause 2" ], [ "Just Dance 2014" ], [ "Just Dance 2014" ], [ "Just Dance 2015" ], [ "Just Dance 2015" ], [ "Just Dance 3" ], [ "Just Dance 4" ], [ "Just Dance Kids 2" ], [ "Juusanshi Engi Engetsu Sangokuden 2" ], [ "Jyuzaengi: Engetsu Sangokuden" ], [ "K-ON! Houkago Live!!" ], [ "K-On! After School Live!! HD Ver." ], [ "Kadenz fermata//Akkord:fortissimo" ], [ "Kaitou Tenshi Twin Angel: Toki to Sekai no Meikyuu" ], [ "Kamen Rider: Battride War" ], [ "Kamen Rider: Battride War II" ], [ "Kami Naru Kimi to" ], [ "Kamigami no Asobi" ], [ "Kana: Imouto" ], [ "Kane & Lynch 2: Dog Days" ], [ "Kannou Mukashi Banashi Portable" ], [ "Katekyoo Hitman Reborn! Kizuna no Tag Battle" ], [ "Kazoku Keikaku" ], [ "Ken to Mahou to Gakuen Mono. 2G" ], [ "Ken to Mahou to Gakuen Mono. 3" ], [ "Ken to Mahou to Gakuen Mono. 3" ], [ "Ken to Mahou to Gakuen Mono. Final: Shinnyusei wa Ohimesama" ], [ "Kenka Bancho Bros: Tokyo Battle Royale" ], [ "Kenka Banchou 4: Ichinen Sensou" ], [ "Kenka Banchou 5: Otoko no Housoku" ], [ "Kidou Senshi Gundam Seed Battle Destiny" ], [ "Kidou Senshi Gundam UC" ], [ "Kidou Senshi Gundam: Extreme VS" ], [ "Kidou Senshi Gundam: Shin Gihren no Yabou" ], [ "Killer is Dead" ], [ "Killzone 3" ], [ "Killzone: Mercenary" ], [ "Killzone: Shadow Fall" ], [ "Kimikare: New Semester" ], [ "King of Fighters 2002: Unlimited Match Tougeki Ver." ], [ "Kingdom Hearts" ], [ "Kingdom Hearts II" ], [ "Kingdom Hearts: Birth by Sleep" ], [ "Kingdom Hearts: Birth by Sleep - Final Mix" ], [ "Kingdom: Ikkitousen no Ken" ], [ "Kingdoms of Amalur: Reckoning" ], [ "Kiniro no Corda 3" ], [ "Kiniro no Corda 3" ], [ "Kiss Bell" ], [ "Knack" ], [ "Knights Contract" ], [ "Knights in the Nightmare" ], [ "Koi Sentai Love & Peace the P.S.P: Power Zenkai! Special Youso Tenkomori de Portable Ka Daisakusen de Aru!" ], [ "Koi to Senkyo to Chocolate Portable" ], [ "Koisuru Otome to Shugo no Tate Portable" ], [ "Kokoro Connect: Yochi Random" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Rider" ], [ "Kurohyou 2: Ryu ga Gotoku Ashura Hen" ], [ "Kurohyou: Ryu ga Gotoku Shinshou" ], [ "Kuroko's Basketball: Miracle Game" ], [ "Kyokugen Dasshutsu ADV: Zennin Shiboudesu" ], [ "Kyoukai Senjou no Horizon Portable" ], [ "L.A. Noire" ], [ "L.G.S: Shinsetsu Houshinengi" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 5-7" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "Labyrinth Cross Blood: Infinity" ], [ "Lara Croft and the Temple of Osiris" ], [ "Last Escort: Club Katze" ], [ "Last Escort: Club Katze" ], [ "Last Ranker" ], [ "Last Rebellion" ], [ "Legasista" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Let's Dance with Mel B" ], [ "Lightning Returns: Final Fantasy XIII" ], [ "Little Battlers eXperience W" ], [ "Little Battlers eXperience W" ], [ "Little Busters! Converted Edition" ], [ "Little Busters! Converted Edition" ], [ "Little Deviants" ], [ "Little League World Series Baseball 2010" ], [ "LittleBigPlanet 2" ], [ "LittleBigPlanet 3" ], [ "LittleBigPlanet 3" ], [ "LittleBigPlanet Karting" ], [ "LittleBigPlanet PS Vita" ], [ "Lollipop Chainsaw" ], [ "London 2012: The Official Video Game of the Olympic Games" ], [ "Lord of Apocalypse" ], [ "Lord of Apocalypse" ], [ "Lord of Arcana" ], [ "Lords of the Fallen" ], [ "Lost Dimension" ], [ "Lost Dimension" ], [ "Lost Heroes" ], [ "Lost Planet 2" ], [ "Lost Planet 3" ], [ "Love Live! School Idol Paradise" ], [ "Love Once: Mermaid's Tears" ], [ "Lucha Libre AAA: Heroes del Ring" ], [ "Lucian Bee's: Justice Yellow / Evil Violet" ], [ "Lumines: Electronic Symphony" ], [ "MAG: Massive Action Game" ], [ "MLB 10: The Show" ], [ "MLB 10: The Show" ], [ "MLB 10: The Show" ], [ "MLB 11: The Show" ], [ "MLB 11: The Show" ], [ "MLB 11: The Show" ], [ "MLB 12: The Show" ], [ "MLB 12: The Show" ], [ "MLB 13: The Show" ], [ "MLB 13: The Show" ], [ "MLB 14: The Show" ], [ "MLB 14: The Show" ], [ "MLB 14: The Show" ], [ "MX vs. ATV Supercross" ], [ "MX vs. ATV: Alive" ], [ "Machi-Ing Maker 3 x Tousouchuu" ], [ "Machi-ing Maker 4" ], [ "Macross 30: Ginga o Tsunagu Utagoe" ], [ "Macross Triangle Frontier" ], [ "Madden NFL 11" ], [ "Madden NFL 11" ], [ "Madden NFL 11" ], [ "Madden NFL 12" ], [ "Madden NFL 12" ], [ "Madden NFL 13" ], [ "Madden NFL 13" ], [ "Madden NFL 15" ], [ "Madden NFL 15" ], [ "Madden NFL 25" ], [ "Madden NFL 25" ], [ "Mafia II" ], [ "Mahou Shoujo Lyrical Nanoha A's Portable: The Battle of Aces" ], [ "Mahou Shoujo Lyrical Nanoha A's Portable: The Gears of Destiny" ], [ "Mahouka Koukou no Rettousei: Out of Order" ], [ "Majin and the Forsaken Kingdom" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K13" ], [ "Makai Senki Disgaea 4: Fuuka & Desco-hen Hajime Mashita" ], [ "Makai Shin Trillion" ], [ "Making History: The Great War" ], [ "Man vs. Wild" ], [ "Marginal #4: Idol of Supernova" ], [ "Marriage Royale: Prism Story" ], [ "Marvel Super Hero Squad: Comic Combat" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel vs. Capcom 3: Fate of Two Worlds" ], [ "Mashiro Iro Symphony: *mutsu-no-hana" ], [ "Mass Effect 2" ], [ "Mass Effect 3" ], [ "Mass Effect Trilogy" ], [ "Max Payne 3" ], [ "Mayhem 3D" ], [ "McDROID" ], [ "Mechanic Escape" ], [ "Medal of Honor" ], [ "Medal of Honor: Warfighter" ], [ "Medieval Moves: Deadmund's Quest" ], [ "Mega Minis Volume 2" ], [ "Mega Minis Volume 3" ], [ "Megamind: The Blue Defender" ], [ "Megamind: Ultimate Showdown" ], [ "Megpoid the Music#" ], [ "Meiji Toukyou Renka" ], [ "Memories Off: Yubikiri no Kikou" ], [ "Metal Fight Beyblade Portable: Chouzetsu Tensei Vulcan Horses" ], [ "Metal Gear Rising: Revengeance" ], [ "Metal Gear Solid HD Edition" ], [ "Metal Gear Solid HD Edition" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid: Peace Walker" ], [ "Metal Gear Solid: Peace Walker HD Edition" ], [ "Metal Gear Solid: The Legacy Collection" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Mind Zero" ], [ "MindJack" ], [ "Minecraft" ], [ "Minecraft" ], [ "Minecraft" ], [ "Minna to Issho" ], [ "Misshitsu no Sacrifice" ], [ "Miyako" ], [ "Miyako: Awayuki no Utage" ], [ "Mobile Suit Gundam Age: Universe Accel / Cosmic Drive" ], [ "Mobile Suit Gundam Side Story: Missing Link" ], [ "Mobile Suit Gundam: Extreme VS Full Boost" ], [ "Mobile Suit Gundam: Mokuba no Kiseki" ], [ "ModNation Racers" ], [ "ModNation Racers" ], [ "Modnation Racers: Road Trip" ], [ "Moe Moe 2-Ji Daisenryaku 2" ], [ "Momotarou Dentetsu Tag Match: Yuujou - Doryoku - Shouri no Maki!" ], [ "MonHun Nikki: Poka Poka Ailu Mura" ], [ "MonHun Nikki: Poka Poka Ailu Mura G" ], [ "Monkey Island: Special Edition Collection" ], [ "Monopoly Streets" ], [ "Monster Hunter Freedom 2" ], [ "Monster Hunter Freedom 3" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Mortal Kombat" ], [ "Mortal Kombat" ], [ "Mother Goose no Himitsu no Yakata" ], [ "MotionSports: Adrenaline" ], [ "MotoGP 09/10" ], [ "MotoGP 10/11" ], [ "MotoGP 14 " ], [ "MotoGP 14 " ], [ "MotoGP 14 " ], [ "MotorStorm RC" ], [ "MotorStorm: Apocalypse" ], [ "Motto NUGA-CEL!" ], [ "Motto! SoniComi" ], [ "Moujuutsukai to Oujisama" ], [ "Moujuutsukai to Oujisama Portable" ], [ "Moujuutsukai to Oujisama: Snow Bride" ], [ "Moujuutsukai to Oujisama: Snow Bride Portable" ], [ "Mugen Souls" ], [ "Mugen Souls Z" ], [ "Muramasa: The Demon Blade" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Muv-Luv Alternative" ], [ "Muv-Luv Alternative: Total Eclipse" ], [ "My Fitness Coach: Club" ], [ "My Little Sister Can't Be This Cute Portable" ], [ "MySims SkyHeroes" ], [ "NASCAR '14" ], [ "NASCAR 2011: The Game" ], [ "NASCAR The Game: Inside Line" ], [ "NASCAR Unleashed" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K12" ], [ "NBA 2K12" ], [ "NBA 2K13" ], [ "NBA 2K14" ], [ "NBA 2K14" ], [ "NBA 2K15" ], [ "NBA 2K15" ], [ "NBA Jam" ], [ "NBA Live 14" ], [ "NBA Live 15" ], [ "NCAA Football 11" ], [ "NCAA Football 11" ], [ "NCAA Football 12" ], [ "NCAA Football 13" ], [ "NCAA Football 14" ], [ "NCIS" ], [ "NHL 11" ], [ "NHL 12" ], [ "NHL 13" ], [ "NHL 14" ], [ "NHL 15" ], [ "NHL 15" ], [ "Nano Diver" ], [ "Narcissus: Moshimo Ashita ga Runara" ], [ "Naruto Shippuden: Kizuna Drive" ], [ "Naruto Shippuden: Ultimate Ninja Impact" ], [ "Naruto Shippuden: Ultimate Ninja Storm 2" ], [ "Naruto Shippuden: Ultimate Ninja Storm 3" ], [ "Naruto Shippuden: Ultimate Ninja Storm Generations" ], [ "Naruto Shippuden: Ultimate Ninja Storm Revolution" ], [ "NatGeo Challenge! Wild Life" ], [ "National Geographic Challenge!" ], [ "Natsuzora no Monologue" ], [ "Natural Doctrine" ], [ "Natural Doctrine" ], [ "Natural Doctrine" ], [ "Naughty Bear" ], [ "Nayuta no Kiseki" ], [ "Need for Speed Rivals" ], [ "Need for Speed Rivals" ], [ "Need for Speed: Hot Pursuit" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Shift 2 Unleashed" ], [ "Need for Speed: The Run" ], [ "Nendoroid Generation" ], [ "NeverDead" ], [ "Ni no Kuni: Wrath of the White Witch" ], [ "NieR" ], [ "Ninja Gaiden 3" ], [ "Ninja Gaiden Sigma" ], [ "Ninja Gaiden Sigma 2" ], [ "Nisekoi: Yomeiri!?" ], [ "Nisenochigiri" ], [ "Nisenochigiri: Omoide no Saki e" ], [ "No More Heroes: Heroes' Paradise" ], [ "No More Heroes: Red Zone" ], [ "Nobunaga no Yabou Online: Houou no Shou" ], [ "Nobunaga no Yabou: Soutensoku with Power-Up Kit" ], [ "Nobunaga no Yabou: Souzou" ], [ "Nobunaga no Yabou: Souzou" ], [ "Nobunaga no Yabou: Tendou" ], [ "Nobunaga no Yabou: Tendou with Power-Up Kit" ], [ "Nobunaga's Ambition: Sphere of Influence" ], [ "Nobunaga's Ambition: Sphere of Influence" ], [ "Norn9: Norn + Nonette" ], [ "Nurarihyon no Mago: Hyakki Ryouran Taisen" ], [ "Nyaruko-San: Nafushigatai Game no You na Mono" ], [ "Okami" ], [ "Okashi na Shima no Peter Pan: Sweet Never Land" ], [ "Omega Quintet" ], [ "Omerta: City of Gangsters" ], [ "One Piece: Pirate Warriors" ], [ "One Piece: Pirate Warriors 2" ], [ "One Piece: Pirate Warriors 2" ], [ "One Piece: Romance Dawn - Bouken no Yoake" ], [ "One Piece: Unlimited World Red" ], [ "One Piece: Unlimited World Red" ], [ "Onechanbara Special" ], [ "Onechanbara Z Kagura" ], [ "Onechanbara Z2: Chaos" ], [ "Onigokko! Portable" ], [ "Operation Abyss: New Tokyo Legacy" ], [ "Operation Flashpoint: Red River" ], [ "Order Up!!" ], [ "Ore no Imouto ga Konna ni Kawaii Wake ga Nai Happy EnD" ], [ "Ore no Imouto ga Konna ni Kawaii wake ga Nai Portable" ], [ "Ore no Shikabane o Koete Yuke" ], [ "Ore wa Shoujo Mangaka" ], [ "Oreshika: Tainted Bloodlines" ], [ "Otome wa Oanesama Boku ni Koi Shiteru Portable" ], [ "Otome wa Oanesama ni Koi Shiteru Portable: 2-Jin no Elder" ], [ "Otometeki Koi Kakumei * Love Revo! Portable" ], [ "Ou to Maou to 7-nin no Himegimitachi: Shin Ousama Monogatari" ], [ "Ouka Sengoku Portable" ], [ "Oumagatoki: Kaidan Romance" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PDC World Championship Darts: Pro Tour" ], [ "Pac-Man All-Stars" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pachi-Slot Higrashi no Naku Koro ni Matsuri" ], [ "PachiPara 15: Super Umi Monogatari in Okinawa 2" ], [ "Pachitte Chonmage Tatsujin 16: Pachinko Hissatsu Shigotojin III" ], [ "Painkiller: Hell & Damnation" ], [ "Pastel Chime Continue" ], [ "Patapon 3" ], [ "Payday 2" ], [ "Persona 2: Eternal Punishment" ], [ "Persona 4: Arena" ], [ "Persona 4: Arena Ultimax" ], [ "Persona 4: Golden" ], [ "Phantasy Star Nova" ], [ "Phantasy Star Online 2" ], [ "Phantasy Star Portable 2: Infinity" ], [ "Phantom Brave: The Hermuda Triangle" ], [ "Phantom Kingdom Portable" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "PhotoKano" ], [ "PhotoKano" ], [ "Pictionary: Ultimate Edition" ], [ "PixelJunk Monsters Deluxe" ], [ "Plants vs. Zombies" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "PlayStation All-Stars Battle Royale" ], [ "PlayStation All-Stars Battle Royale" ], [ "PlayStation Move Heroes" ], [ "Pop'n Music Portable" ], [ "Pop'n Music Portable 2" ], [ "Portal 2" ], [ "Power Gig: Rise of the SixString" ], [ "Power Pro Success Legends" ], [ "Prince of Persia Trilogy" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Princess Arthur" ], [ "Princess Frontier Portable" ], [ "Princess Saver! Eternal Love for My Lady" ], [ "Prinny 2: Dawn of Operation Panties, Dood!" ], [ "Prison Break: The Conspiracy" ], [ "Pro Angler Moves" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2014" ], [ "Pro Yaky? Spirits 2014" ], [ "Pro Yaky? Spirits 2014" ], [ "Puella Magi Madoka Magica Portable" ], [ "Puppeteer" ], [ "Pure Futbol" ], [ "Puss in Boots" ], [ "Putty Squad" ], [ "Putty Squad" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo Tetris" ], [ "Puzzle Chronicles" ], [ "Quantum Theory" ], [ "Queen's Gate: Spiral Chaos" ], [ "R.U.S.E." ], [ "Rabbids Invasion: The Interactive TV Show" ], [ "Racquet Sports" ], [ "Rage" ], [ "Ragnarok Odyssey" ], [ "Ragnarok Odyssey" ], [ "Ragnarok: Hikari to Yami no Koujo" ], [ "Rain (2013)" ], [ "Rango: The Video Game" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Ratchet & Clank Collection" ], [ "Ratchet & Clank Collection" ], [ "Ratchet & Clank: All 4 One" ], [ "Ratchet & Clank: Full Frontal Assault" ], [ "Ratchet & Clank: Into the Nexus" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Reality Fighters" ], [ "Record of Agarest War 2" ], [ "Record of Agarest War: Marriage" ], [ "Red Dead Redemption" ], [ "Red Dead Redemption: Undead Nightmare" ], [ "Red Faction: Armageddon" ], [ "Remember Me" ], [ "Renai 0 Kilometer" ], [ "Renai Banchou: Inochi Meishi, Koiseyo Otome! Love is Power!!!" ], [ "Resident Evil 6" ], [ "Resident Evil Chronicles HD" ], [ "Resident Evil: Operation Raccoon City" ], [ "Resident Evil: Revelations" ], [ "Resistance 3" ], [ "Resistance Dual Pack" ], [ "Resistance: Burning Skies" ], [ "Resonance of Fate" ], [ "Rewrite" ], [ "Ride to Hell" ], [ "Ridge Racer" ], [ "Ridge Racer Unbounded" ], [ "Rinne no Lagrange: Kamogawa Days" ], [ "Rio" ], [ "Risen 2: Dark Waters" ], [ "Risen 3: Titan Lords" ], [ "Ro-Kyu-Bu!" ], [ "Ro-Kyu-Bu! Lost Secret" ], [ "Ro-Kyu-Bu! Secret Photo Op" ], [ "Robotics;Notes" ], [ "Robotics;Notes" ], [ "Rock Band 3" ], [ "Rock Band Country Track Pack 2" ], [ "Rock of the Dead" ], [ "Rocksmith" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Romance of the Three Kingdoms XII" ], [ "Romeo Vs. Juliet" ], [ "Rugby League Live" ], [ "Rugby World Cup 2011" ], [ "Rune Factory: Tides of Destiny" ], [ "Rurouni Kenshin: Meiji Kenkaku Romantan Saisen" ], [ "Rurouni Kenshin: Meiji Kenyaku Romantan - Kansen" ], [ "S.Y.K Renshouden" ], [ "S.Y.K Renshouden Portable" ], [ "S.Y.K: Shinsetsu Saiyuuki Portable" ], [ "SBK 2011: FIM Superbike World Championship" ], [ "SBK X: Superbike World Championship" ], [ "SD Gundam G Generation World" ], [ "SD Gundam G Generation: Overworld" ], [ "SOCOM 4: U.S. Navy SEALs" ], [ "SOCOM: U.S. Navy SEALs Fireteam Bravo 3" ], [ "SSX" ], [ "Sacred 3" ], [ "Saigo no Yakusoku no Monogatari" ], [ "Saint Seiya Omega: Ultimate Cosmo" ], [ "Saint Seiya: Brave Soldiers" ], [ "Saint Seiya: Sanctuary Battle" ], [ "Saints Row IV" ], [ "Saints Row: The Third" ], [ "Saka Agari Hurricane Portable" ], [ "Saki Portable" ], [ "Saki: Achiga-Hen Portable" ], [ "Sakigake!! Otokojuku - Nihon yo, Kore ga Otoko Dearu!" ], [ "Sakura Sakura: Haru Urara" ], [ "Sakura-Sou no Pet na Kanojo" ], [ "Sakura-Sou no Pet na Kanojo" ], [ "Samurai & Dragons" ], [ "Samurai Warriors 2" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors Chronicles 3" ], [ "Sangoku Koi Senki: Otome no Heihou!" ], [ "Sangoku Koi Senki: Otome no Heihou!" ], [ "Satomi Hakkenden: Hachi Tamanoki" ], [ "Saw II: Flesh & Blood" ], [ "Scared Rider Xechs" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Secret Game Portable" ], [ "Seinaru Kana: Orichalcum no Na no Motoni" ], [ "Sengoku Basara 3 Utage" ], [ "Sengoku Basara 4" ], [ "Sengoku Basara: Chronicle Heroes" ], [ "Sengoku Basara: Samurai Heroes" ], [ "Sengoku Efuda Yuugi: Hototogisu Tairan" ], [ "Sengoku Hime 2 Arashi: Hyakubana Senran Tatsukaze no Gotoku" ], [ "Sengoku Musou 3 Empires" ], [ "Sengoku Musou 3 Z" ], [ "Sengoku Musou 3 Z Special" ], [ "Senjou no Waltz" ], [ "Senran Kagura Shinovi Versus: Sh?jo-tachi no Sh?mei" ], [ "Senran Kagura: Bon Appétit!" ], [ "Senritsu no Stratus" ], [ "Shadow of the Colossus" ], [ "Shadows of the Damned" ], [ "Shaun White Skateboarding" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Shin Hayarigami" ], [ "Shin Hayarigami" ], [ "Shin Hisui no Shizuku: Hiiro no Kakera 2 Portable" ], [ "Shin Kamaitachi no Yoru: 11 Hitome no Suspect" ], [ "Shin Kamaitachi no Yoru: 11 Hitome no Suspect" ], [ "Shin Ken to Mah? to Gakuenmono. Toki no Gakuen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Shu-Hen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Wei-Hen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Wu-Hen" ], [ "Shin Koihime Musou: Otome Taisen * Sangokushi Engi" ], [ "Shin Megami Tensei: Persona 2: Innocent Sin" ], [ "Shin Sangoku Musou 5 Empires" ], [ "Shin Sangoku Musou 6 Special" ], [ "Shin Sangoku Musou Online: Kamishou Ranbu" ], [ "Shin Sangoku Musou Online: Souten Ranbu" ], [ "Shin Sangoku Musou: Multi Raid 2" ], [ "Shinigami to Shoujo" ], [ "Shining Ark" ], [ "Shining Blade" ], [ "Shining Hearts" ], [ "Shining Resonance" ], [ "Shinken de Watashi ni Koi Shinasai! R" ], [ "Shinobi Koutsutsu" ], [ "Shinobido 2: Tales of the Ninja" ], [ "Shirahana no Ori: Hiiro no Kakera 4 - Shiki no Uta" ], [ "Shiratsuyu no Kai" ], [ "Shiren the Wanderer 4 - God's Eye and the Demon's Navel" ], [ "Shrek: Forever After" ], [ "Shukufuku no Campanella Portable" ], [ "Shutsugeki! Otometachi no Senjou 2: Ikusabana no Kizuna" ], [ "Silent Hill HD Collection" ], [ "Silent Hill: Book of Memories" ], [ "Silent Hill: Downpour" ], [ "Silent Hill: Shattered Memories" ], [ "Silent Hill: Shattered Memories" ], [ "SingStar Apres-Ski Party 2" ], [ "SingStar Dance" ], [ "SingStar Fussballhits" ], [ "SingStar Guitar" ], [ "SingStar: Back to the 80s" ], [ "Singstar: Ultimate Party" ], [ "Singstar: Ultimate Party" ], [ "Skate 3" ], [ "Skylanders Giants" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Sleeping Dogs" ], [ "Sleeping Dogs" ], [ "Slotter Mania P: Tetsuya Shinjuku vs Ueno " ], [ "Sly 2: Band of Thieves" ], [ "Sly Cooper: Thieves in Time" ], [ "Sly Cooper: Thieves in Time" ], [ "Sniper Elite 3" ], [ "Sniper Elite 3" ], [ "Sniper Elite V2" ], [ "Sniper: Ghost Warrior" ], [ "Sniper: Ghost Warrior 2" ], [ "So-Ra-No-Wo-To: Otome no Gojuusou" ], [ "Soccer Tsuku: Pro Soccer Club o Tsukurou!" ], [ "Soccer Tsuku: Pro Soccer Club o Tsukurou!" ], [ "Sokukoku no Kusabi: Hiiro no Kakera 3 Portable" ], [ "Sol Trigger" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & Sega All-Stars Racing" ], [ "Sonic Generations" ], [ "Sora no Otoshimono: DokiDoki Summer Vacation" ], [ "Sorcery" ], [ "Sorcery Saga: The Curse of the Great Curry God" ], [ "Soukoku no Kusabi: Hiiro no Kakera 3 - Ashita e no Tobira" ], [ "Soul Sacrifice" ], [ "Soul Sacrifice Delta" ], [ "SoulCalibur V" ], [ "South Park: The Stick of Truth" ], [ "Spec Ops: The Line" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Shattered Dimensions" ], [ "Split/Second" ], [ "Split/Second" ], [ "Sports Champions" ], [ "Star Driver: Kagayaki no Takuto - Ginga Bishounen Densetsu" ], [ "Star Ocean: The Last Hope International" ], [ "Star Trek: The Game" ], [ "Star Wars: The Force Unleashed II" ], [ "Starhawk" ], [ "Starry ? Sky: After Autumn" ], [ "Starry ? Sky: After Summer" ], [ "Starry ? Sky: In Autumn" ], [ "Starry ? Sky: In Spring" ], [ "Starry ? Sky: In Summer" ], [ "Starry ? Sky: In Winter" ], [ "Start the Party!" ], [ "Start the Party! 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"ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Interactive Relationship Between NA Sales and JP Sales (2010-2014)" }, "width": 1000, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Log of NA Sales (in millions)" }, "type": "log" }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Log of JP Sales (in millions)" }, "type": "log" } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "\n", "df_filtered_2010_2014 = df_filtered[(df_filtered['Year_of_Release'] >= 2010) & (df_filtered['Year_of_Release'] <= 2014)]\n", "\n", "fig = px.scatter(df_filtered_2010_2014,\n", " x='NA_Sales',\n", " y='JP_Sales',\n", " title='Interactive Relationship Between NA Sales and JP Sales (2010-2014)',\n", " labels={'NA_Sales': 'Log of NA Sales (in millions)', 'JP_Sales': 'Log of JP Sales (in millions)'},\n", " hover_data=['Name'],\n", " color='Console_Brand',\n", " color_continuous_scale=px.colors.sequential.Viridis,\n", " log_x=True, \n", " log_y=True, \n", " opacity=0.7) \n", "\n", "fig.update_layout(width=1000, height=800)\n", "fig.update_traces(marker=dict(size=5)) \n", "\n", "fig.show()\n" ] }, { "cell_type": "code", "execution_count": 58, "id": "5167dde1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: plotly in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (5.20.0)\n", "Requirement already satisfied: seaborn in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (0.12.2)\n", "Requirement already satisfied: matplotlib in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (3.7.1)\n", "Requirement already satisfied: tenacity>=6.2.0 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from plotly) (8.2.2)\n", "Requirement already satisfied: packaging in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from plotly) (23.0)\n", "Requirement already satisfied: numpy!=1.24.0,>=1.17 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from seaborn) (1.24.3)\n", "Requirement already satisfied: pandas>=0.25 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from seaborn) (1.5.3)\n", "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from matplotlib) (1.0.5)\n", "Requirement already satisfied: cycler>=0.10 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from matplotlib) (0.11.0)\n", "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from matplotlib) (4.25.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from matplotlib) (1.4.4)\n", "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from matplotlib) (9.4.0)\n", "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from matplotlib) (3.0.9)\n", "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from matplotlib) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from pandas>=0.25->seaborn) (2022.7)\n", "Requirement already satisfied: six>=1.5 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n" ] } ], "source": [ "!pip install plotly seaborn matplotlib\n" ] }, { "cell_type": "code", "execution_count": null, "id": "2c179f12", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 59, "id": "4cae84c0", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The correlation between NA sales and JP sales for the years 2010-2014 is: 0.26\n" ] } ], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "import plotly.express as px\n", "\n", "\n", "sns.set_theme(style=\"whitegrid\")\n", "\n", "df_filtered = df[(df['Year_of_Release'] >= 2010) & (df['Year_of_Release'] <= 2014)]\n", "\n", "correlation = df_filtered['NA_Sales'].corr(df_filtered['JP_Sales'])\n", "print(f\"The correlation between NA sales and JP sales for the years 2010-2014 is: {correlation:.2f}\")\n" ] }, { "cell_type": "code", "execution_count": 60, "id": "9d0a96a2", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "plt.figure(figsize=(10, 6))\n", "bubble_size = df_filtered['Global_Sales'] * 10\n", "\n", "colors = np.random.rand(len(df_filtered))\n", "\n", "plt.scatter('NA_Sales', 'JP_Sales', s=bubble_size, alpha=0.6, data=df_filtered, c=colors, cmap='viridis', edgecolors='w', linewidth=0.5)\n", "\n", "plt.title('Relationship Between NA Sales and JP Sales (Bubble Size: Global Sales)')\n", "plt.xlabel('NA Sales (in millions)')\n", "plt.ylabel('JP Sales (in millions)')\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "a702e07a", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 61, "id": "b60570bf", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10, 6))\n", "sns.scatterplot(x='NA_Sales', y='JP_Sales', data=df_filtered, hue='Genre', alpha=0.5, palette='Set1')\n", "plt.title('Colored Relationship Between NA Sales and JP Sales by Genre (2010-2014)')\n", "plt.xlabel('NA Sales (in millions)')\n", "plt.ylabel('JP Sales (in millions)')\n", "plt.legend(title='Genre', bbox_to_anchor=(1.05, 1), loc='upper left')\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 62, "id": "5b755c23", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "customdata": [ [ " Frozen: Olaf's Quest" ], [ " Frozen: Olaf's Quest" ], [ " Tales of Xillia 2" ], [ ".hack//Link" ], [ ".hack: Sekai no Mukou ni + Versus" ], [ "1/2 Summer +" ], [ "10 Minute Solution" ], [ "100 Classic Games" ], [ "1000 Cooking Recipes from ELLE à table" ], [ "1001 Touch Games" ], [ "101-in-1 Sports Megamix" ], [ "101-in-1 Sports Party Megamix" ], [ "11eyes: CrossOver" ], [ "12-Sai. 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Back to School" ], [ "Are You Smarter Than a 5th Grader? Back to School" ], [ "ArmA III" ], [ "Armored Core V" ], [ "Armored Core V" ], [ "Armored Core: Last Raven Portable" ], [ "Armored Core: Verdict Day" ], [ "Army Corps of Hell" ], [ "Army of Two: The 40th Day" ], [ "Army of Two: The 40th Day" ], [ "Army of Two: The 40th Day" ], [ "Army of Two: The Devil's Cartel" ], [ "Army of Two: The Devil's Cartel" ], [ "Around the World in 80 Days" ], [ "Art Academy" ], [ "Art Academy: Lessons for Everyone" ], [ "Asphalt 3D" ], [ "Asphalt: Injection" ], [ "Assassin's Creed II" ], [ "Assassin's Creed III" ], [ "Assassin's Creed III" ], [ "Assassin's Creed III" ], [ "Assassin's Creed III" ], [ "Assassin's Creed III: Liberation" ], [ "Assassin's Creed IV: Black Flag" ], [ "Assassin's Creed IV: Black Flag" ], [ "Assassin's Creed IV: Black Flag" ], [ "Assassin's Creed IV: Black Flag" ], [ "Assassin's Creed IV: Black Flag" ], [ "Assassin's Creed IV: Black Flag" ], [ "Assassin's Creed: Brotherhood" ], [ "Assassin's Creed: Brotherhood" ], [ "Assassin's Creed: Brotherhood" ], [ "Assassin's Creed: Revelations" ], [ "Assassin's Creed: Revelations" ], [ "Assassin's Creed: Revelations" ], [ "Assassin's Creed: Rogue" ], [ "Assassin's Creed: Rogue" ], [ "Assassin's Creed: Unity" ], [ "Assassin's Creed: Unity" ], [ "Assassin's Creed: Unity" ], [ "Asura's Wrath" ], [ "Asura's Wrath" ], [ "Atari's Greatest Hits: Volume 1" ], [ "Atari's Greatest Hits: Volume 2" ], [ "Atelier Ayesha: The Alchemist of Dusk" ], [ "Atelier Ayesha: The Alchemist of Dusk" ], [ "Atelier Escha & Logy: Alchemists of the Dusk Sky" ], [ "Atelier Meruru: Alchemist of Arland 3" ], [ "Atelier Meruru: Alchemist of Arland 3" ], [ "Atelier Rorona: Alchemist of Arland" ], [ "Atelier Shallie: Alchemists of the Dusk Sea" ], [ "Atelier Totori: The Adventurer of Arland" ], [ "Atelier Totori: The Adventurer of Arland" ], [ "Atlantic Quest" ], [ "Attack of the Movies 3D" ], [ "Attack of the Movies 3D" ], [ "Attack on Titan: Humanity in Chains" ], [ "Azada" ], [ "B's-LOG Party♪" ], [ "BIT.TRIP COMPLETE" ], [ "BIT.TRIP SAGA" ], [ "Babysitting Mama" ], [ "Back to the Future: The Game" ], [ "Back to the Future: The Game" ], [ "Backyard Sports Football: Rookie Rush" ], [ "Backyard Sports Football: Rookie Rush" ], [ "Backyard Sports Football: Rookie Rush" ], [ "Backyard Sports: Sandlot Sluggers" ], [ "Backyard Sports: Sandlot Sluggers" ], [ "Backyard Sports: Sandlot Sluggers" ], [ "Bakemonogatari Portable" ], [ "Bakugan Battle Brawlers: Defenders of the Core" ], [ "Bakugan Battle Brawlers: Defenders of the Core" ], [ "Bakugan Battle Brawlers: Defenders of the Core" ], [ "Bakugan Battle Brawlers: Defenders of the Core" ], [ "Bakugan Battle Brawlers: Defenders of the Core" ], [ "Bakugan: Battle Trainer" ], [ "Bakugan: Rise of the Resistance" ], [ "Bakumatsu Rock" ], [ "Bakumatsu Rock: Ultra Soul" ], [ "Bakumatsu Rock: Ultra Soul" ], [ "Balloon Pop 2" ], [ "Barbie: Groom and Glam Pups" ], [ "Barbie: Groom and Glam Pups" ], [ "Barbie: Jet, Set & Style!" ], [ "Barbie: Jet, Set & Style!" ], [ "Basketball Hall of Fame Ultimate Hoops Challenge" ], [ "Bass Pro Shops: The Hunt" ], [ "Bass Pro Shops: The Hunt" ], [ "Batman: Arkham City" ], [ "Batman: Arkham City" ], [ "Batman: Arkham City" ], [ "Batman: Arkham City" ], [ "Batman: Arkham Origins" ], [ "Batman: Arkham Origins" ], [ "Batman: Arkham Origins" ], [ "Batman: Arkham Origins" ], [ "Batman: Arkham Origins Blackgate" ], [ "Batman: Arkham Origins Blackgate" ], [ "Batman: The Brave and the Bold the Videogame" ], [ "Batman: The Brave and the Bold the Videogame" ], [ "Battle & Get! Pokemon Typing DS" ], [ "Battle Princess of Arcadias" ], [ "Battle Spirits: Digital Starter" ], [ "Battle Spirits: Hero's Soul" ], [ "Battle of Giants: Dinosaurs Strike" ], [ "Battle of Giants: Mutant Insects" ], [ "Battle vs. Chess" ], [ "Battlefield 3" ], [ "Battlefield 3" ], [ "Battlefield 3" ], [ "Battlefield 4" ], [ "Battlefield 4" ], [ "Battlefield 4" ], [ "Battlefield 4" ], [ "Battlefield 4" ], [ "Battlefield: Bad Company 2" ], [ "Battlefield: Bad Company 2" ], [ "Battlefield: Bad Company 2" ], [ "Bayonetta 2" ], [ "Beastly" ], [ "Beastly Frantic Foto" ], [ "Beat City" ], [ "Beat Sketch!" ], [ "Bejeweled 3" ], [ "Bejeweled Blitz" ], [ "Bejeweled Twist" ], [ "Bella Sara 2 - The Magic of Drasilmare" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Omniverse 2" ], [ "Ben 10 Omniverse 2" ], [ "Ben 10 Triple Pack" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Best Friends Tonight" ], [ "Beyblade Evolution" ], [ "Beyblade: Metal Masters" ], [ "Beyond: Two Souls" ], [ "Big Hero 6: Battle in the Bay" ], [ "Big League Sports" ], [ "Bigfoot King of Crush" ], [ "Billy's Boot Camp: Wii de Enjoy Diet!" ], [ "Binary Domain" ], [ "Binary Domain" ], [ "Binary Star" ], [ "BioShock 2" ], [ "BioShock 2" ], [ "BioShock Infinite" ], [ "BioShock Infinite" ], [ "BioShock Infinite" ], [ "Biohazard: Revival Selection" ], [ "Biohazard: Revival Selection" ], [ "Birds of Steel" ], [ "Birds of Steel" ], [ "Black * Rock Shooter: The Game" ], [ "Blackwater" ], [ "Blades of Time" ], [ "Blades of Time" ], [ "BlazBlue: Calamity Trigger" ], [ "BlazBlue: Calamity Trigger Portable" ], [ "BlazBlue: Chrono Phantasma" ], [ "BlazBlue: Chrono Phantasma" ], [ "BlazBlue: Continuum Shift" ], [ "BlazBlue: Continuum Shift" ], [ "BlazBlue: Continuum Shift II" ], [ "BlazBlue: Continuum Shift II" ], [ "Blazblue: Continuum Shift Extend" ], [ "Blazblue: Continuum Shift Extend" ], [ "Blazblue: Continuum Shift Extend" ], [ "Blaze Union: Story to Reach the Future" ], [ "Bleach: Heat the Soul 7" ], [ "Bleach: Soul Resurreccion" ], [ "Blood Bowl: Legendary Edition" ], [ "Blood Drive" ], [ "Blood Drive" ], [ "Blue Roses: Yousei to Aoi Hitomi no Senshitachi" ], [ "Blur" ], [ "Blur" ], [ "Blur" ], [ "Body and Brain Connection" ], [ "Bodycount" ], [ "Bodycount" ], [ "Boku no Natsuyasumi Portable 2: Nazo Nazo Shimai to Chinbotsusen no Himitsu" ], [ "Book of Spells" ], [ "Boot Camp Academy" ], [ "Borderlands 2" ], [ "Borderlands 2" ], [ "Borderlands 2" ], [ "Borderlands 2" ], [ "Borderlands: Double Game Add-On Pack" ], [ "Borderlands: The Pre-Sequel" ], [ "Borderlands: The Pre-Sequel" ], [ "Borderlands: The Pre-Sequel" ], [ "Botanicula" ], [ "Bound By Flame" ], [ "Brain Age: Concentration Training" ], [ "Brave: The Video Game" ], [ "Brave: The Video Game" ], [ "Bravely Default: Flying Fairy" ], [ "Breach" ], [ "Brink" ], [ "Brink" ], [ "Brink" ], [ "Brothers Conflict: Brilliant Blue" ], [ "Brothers Conflict: Passion Pink" ], [ "Brothers in Arms: Furious 4" ], [ "Brunswick Cosmic Bowling" ], [ "Brunswick Pro Bowling" ], [ "Brunswick Pro Bowling" ], [ "Brunswick Pro Bowling" ], [ "Build-A-Bear Workshop: Welcome to Hugsville" ], [ "Bullet Girls" ], [ "Bullet Soul: Tama Tamashii" ], [ "Bulletstorm" ], [ "Bulletstorm" ], [ "Bulletstorm" ], [ "Bunmei Haruka: Aoiza Ibunroku" ], [ "Bunmei Kaika: Aoiza Ibunroku Saien" ], [ "Busou Shinki: Battle Masters" ], [ "Busou Shinki: Battle Masters Mk. 2" ], [ "Bust-A-Move Universe" ], [ "Busy Scissors" ], [ "Busy Scissors" ], [ "Buzz! The Ultimate Music Quiz" ], [ "CSI: Fatal Conspiracy" ], [ "CSI: Fatal Conspiracy" ], [ "CSI: Fatal Conspiracy" ], [ "CSI: Fatal Conspiracy" ], [ "CSI: Unsolved!" ], [ "CV Casting Voice" ], [ "Cabela's Adventure Camp" ], [ "Cabela's Adventure Camp" ], [ "Cabela's Adventure Camp" ], [ "Cabela's Big Game Hunter 2012" ], [ "Cabela's Big Game Hunter 2012" ], [ "Cabela's Big Game Hunter 2012" ], [ "Cabela's Big Game Hunter: Hunting Party" ], [ "Cabela's Big Game Hunter: Pro Hunts" ], [ "Cabela's Big Game Hunter: Pro Hunts" ], [ "Cabela's Big Game Hunter: Pro Hunts" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's Monster Buck Hunter" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's Survival: Shadows of Katmai" ], [ "Cabela's Survival: Shadows of Katmai" ], [ "Cabela's Survival: Shadows of Katmai" ], [ "Cake Mania: Main Street" ], [ "Caladrius" ], [ "Call of Duty Black Ops: Declassified" ], [ "Call of Duty: Advanced Warfare" ], [ "Call of Duty: Advanced Warfare" ], [ "Call of Duty: Advanced Warfare" ], [ "Call of Duty: Advanced Warfare" ], [ "Call of Duty: Advanced Warfare" ], [ "Call of Duty: Black Ops" ], [ "Call of Duty: Black Ops" ], [ "Call of Duty: Black Ops" ], [ "Call of Duty: Black Ops" ], [ "Call of Duty: Black Ops II" ], [ "Call of Duty: Black Ops II" ], [ "Call of Duty: Black Ops II" ], [ "Call of Duty: Black Ops II" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Modern Warfare 3" ], [ "Call of Duty: Modern Warfare 3" ], [ "Call of Duty: Modern Warfare 3" ], [ "Call of Duty: Modern Warfare 3" ], [ "Call of Duty: Modern Warfare 3: Defiance" ], [ "Call of Duty: The War Collection" ], [ "Call of Juarez: The Cartel" ], [ "Call of Juarez: The Cartel" ], [ "Call of Juarez: The Cartel" ], [ "Camp Rock: The Final Jam" ], [ "Camping Mama: Outdoor Adventures" ], [ "Canada Hunt" ], [ "Capcom Digital Collection" ], [ "Captain America: Super Soldier" ], [ "Captain America: Super Soldier" ], [ "Captain America: Super Soldier" ], [ "Captain Morgane and the Golden Turtle" ], [ "Captain Morgane and the Golden Turtle" ], [ "Captain Morgane and the Golden Turtle" ], [ "Captain Morgane and the Golden Turtle" ], [ "Captain Toad: Treasure Tracker" ], [ "Captain Tsubasa: New Kick Off" ], [ "Cardfight!! Vanguard: Lock On Victory!!" ], [ "Cardfight!! Vanguard: Ride to Victory" ], [ "Carnage Heart EXA" ], [ "Carnival Games: Monkey See, Monkey Do!" ], [ "Carnival Games: Wild West 3D" ], [ "Carnival Island" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars Toon: Mater's Tall Tales" ], [ "Cartoon Network: Punch Time Explosion" ], [ "Cartoon Network: Punch Time Explosion XL" ], [ "Cartoon Network: Punch Time Explosion XL" ], [ "Cartoon Network: Punch Time Explosion XL" ], [ "Casino Chaos With Las Vegas Players Collection" ], [ "Castlevania: Lords of Shadow" ], [ "Castlevania: Lords of Shadow" ], [ "Castlevania: Lords of Shadow - Mirror of Fate" ], [ "Castlevania: Lords of Shadow - Reverie" ], [ "Castlevania: Lords of Shadow - Reverie" ], [ "Castlevania: Lords of Shadow 2" ], [ "Castlevania: Lords of Shadow 2" ], [ "Castlevania: Lords of Shadow 2" ], [ "Casual Mania!" ], [ "Catherine" ], [ "Catherine" ], [ "Cats & Dogs: The Revenge of Kitty Galore" ], [ "Cave Story 3D" ], [ "Centipede: Infestation" ], [ "Centipede: Infestation" ], [ "Challenge Me: Brain Puzzles 2" ], [ "Challenge Me: Brain Puzzles 2" ], [ "Challenge Me: Word Puzzles" ], [ "Champion Jockey: G1 Jockey & Gallop Racer" ], [ "Champion Jockey: G1 Jockey & Gallop Racer" ], [ "Champion Jockey: G1 Jockey & Gallop Racer" ], [ "Chaos Rings III" ], [ "Chaos;Head - Love Chu*Chu!" ], [ "Chaos;Head - Love Chu*Chu!" ], [ "Chaos;Head Noah" ], [ "Chaos;Head Noah" ], [ "Cheer We Go!" ], [ "Chevrolet Camaro: Wild Ride" ], [ "Chevrolet Camaro: Wild Ride" ], [ "Chicken Riot" ], [ "Child of Eden" ], [ "Child of Eden" ], [ "Child of Light" ], [ "Child of Light" ], [ "Chocolatier" ], [ "Chou Jigen Game Neptune Mk-II" ], [ "Choujikuu Yousai Macross: Do You Remember Love" ], [ "Chousoku Henkei Gyrozetter: Albatross no Tsubasa" ], [ "Cho~ricchi! Tamagotchi no Puchi Puchi Omisecchi" ], [ "Chronicles of Mystery: The Secret Tree of Life" ], [ "Chuck E. Cheese's Game Room" ], [ "Chuck E. Cheese's Party Games" ], [ "Chuck E. Cheese's Party Games" ], [ "Chuck E. Cheese's Playhouse" ], [ "Chuck E. Cheese's Sports Games" ], [ "Chuck E. Cheese's Super Collection" ], [ "Ciel Nosurge: Ushinawareta Hoshi e Sasagu Uta" ], [ "Cities XL 2011" ], [ "Cities XL 2012" ], [ "Cities in Motion" ], [ "Cities in Motion Collection" ], [ "City Builder" ], [ "Clannad" ], [ "Clannad: Mitsumi Mamoru Sakamichi de - Gekan" ], [ "Clannad: Mitsumi Mamoru Sakamichi de - Joukan" ], [ "Clash of Elementalists" ], [ "Clash of Elementalists" ], [ "Clash of the Titans" ], [ "Clash of the Titans" ], [ "Classic Dungeon X2" ], [ "Classic Dungeon: Fuyoku no Masoujin" ], [ "Clock Zero: Shuuen no Ichibyou Portable" ], [ "Clover no Kuni no Alice: Wonderful Wonder World" ], [ "Clover no Kuni no Alice: Wonderful Wonder World" ], [ "Club Penguin: Elite Penguin Force - Herbert's Revenge" ], [ "Club Penguin: Game Day!" ], [ "Code of Princess" ], [ "Code:Realize - Sousei no Himegimi" ], [ "Combat of Giants: Dinosaurs 3D" ], [ "Command & Conquer 4: Tiberian Twilight" ], [ "Commander: Conquest of the Americas" ], [ "Company of Heroes 2" ], [ "Conception II: Children of the Seven Stars" ], [ "Conception II: Children of the Seven Stars" ], [ "Conception: Please Give Birth to My Child!" ], [ "Conduit 2" ], [ "Contrast" ], [ "Cooking Mama 4: Kitchen Magic!" ], [ "Cooking Mama 5: Bon Appetit!" ], [ "Cooking Mama: My Sweets Shop" ], [ "Coronation Street: The Mystery of the Missing Hotpot Recipe" ], [ "Corpse Party: Blood Covered - Repeated Fear" ], [ "Corpse Party: Blood Drive" ], [ "Corpse Party: Book of Shadows" ], [ "Cosmos Chaos!" ], [ "Country Dance" ], [ "Country Dance 2" ], [ "Country Dance: All Stars" ], [ "Crackdown 2" ], [ "Crafting Mama" ], [ "Crayon Shin-Chan Shokkugan! Densetsu o Yobu Omake Daiketsusen!!" ], [ "Crayon Shin-Chan: Obaka Daininden - Susume! Kasukabe Ninja Tai!" ], [ "Crayon Shin-Chan: Uchuu de Achoo!? Yuujou no Oba-Karate!!" ], [ "Crayon Shin-chan: Arashi o Yobu Kasukabe Eiga Stars!" ], [ "Crazy Machines" ], [ "Create" ], [ "Create" ], [ "Create" ], [ "Create" ], [ "Crime Lab: Body of Evidence" ], [ "Criminal Girls: Invite Only" ], [ "Criminal Girls: Invite Only" ], [ "Cross + Channel" ], [ "Cross Channel: In Memory of All People" ], [ "Crush3D" ], [ "Crysis 2" ], [ "Crysis 2" ], [ "Crysis 2" ], [ "Crysis 3" ], [ "Crysis 3" ], [ "Crysis 3" ], [ "Cubic Ninja" ], [ "Culdcept" ], [ "Curse of the Amsterdam Diamond" ], [ "Custom Drive" ], [ "Cut the Rope" ], [ "D.C. III: Da Capo III" ], [ "DC Universe Online" ], [ "DC Universe Online" ], [ "DECA Sports Freedom" ], [ "DJ Hero 2" ], [ "DJ Hero 2" ], [ "DJ Hero 2" ], [ "DJ Max Portable 3" ], [ "DJ Max Technika Tune" ], [ "Da Capo I & II Plus Situation Portable" ], [ "DaGeDar" ], [ "Dai-2-Ji Super Robot Taisen OG" ], [ "Dai-2-Ji Super Robot Taisen Z Saisei-hen" ], [ "Dai-2-Ji Super Robot Taisen Z: Hakai-hen" ], [ "Daigasso! Band Brothers P" ], [ "Daikaijuu Battle: Ultra Coliseum DX - Ultra Senshi Daishuuketsu" ], [ "Daito Giken Koushiki Pachi-Slot Simulator Hihouden: Taiyou o Motomeru Monotachi" ], [ "Daito Giken Koushiki Pachi-Slot Simulator: Hihouden - Fuujirareta Megami Portable" ], [ "Daito Giken Koushiki Pachi-Slot Simulator: Ossu! Misao + Maguro Densetsu Portable" ], [ "Daiya no Kuni no Alice: Wonderful Mirror World" ], [ "Damage Inc.: Pacific Squadron WWII" ], [ "Danball Senki" ], [ "Danball Senki Boost" ], [ "Dance Central" ], [ "Dance Central 2" ], [ "Dance Central 3" ], [ "Dance Central: Spotlight" ], [ "Dance Dance Revolution: Hottest Party 5" ], [ "Dance Paradise" ], [ "Dance Sensation!" ], [ "Dance on Broadway" ], [ "Dance on Broadway" ], [ "Dance! It's Your Stage" ], [ "DanceDanceRevolution" ], [ "DanceDanceRevolution" ], [ "DanceDanceRevolution" ], [ "DanceMasters" ], [ "DanceStar Party" ], [ "Dancing on Ice" ], [ "Dancing on Ice" ], [ "Danganronpa 2: Goodbye Despair" ], [ "Danganronpa 2: Goodbye Despair" ], [ "Danganronpa Another Episode: Ultra Despair Girls" ], [ "Danganronpa: Trigger Happy Havoc" ], [ "Dangerous Ji-San to 1000-nin no Otomodachi Yokoshima" ], [ "Daniel X: The Ultimate Power" ], [ "Dante's Inferno" ], [ "Dante's Inferno" ], [ "Dante's Inferno" ], [ "Dark Parables: The Exiled Prince" ], [ "Dark Souls" ], [ "Dark Souls" ], [ "Dark Souls" ], [ "Dark Souls II" ], [ "Dark Souls II" ], [ "Dark Souls II" ], [ "Dark Tales: Edgar Allan Poe's The Premature Burial" ], [ "Dark Void" ], [ "Dark Void" ], [ "Dark Void" ], [ "DarkStar One: Broken Alliance" ], [ "Darksiders" ], [ "Darksiders" ], [ "Darksiders" ], [ "Darksiders II" ], [ "Darksiders II" ], [ "Darksiders II" ], [ "Darksiders II" ], [ "Darkspore" ], [ "Darkstalkers Resurrection" ], [ "Data East Arcade Classics" ], [ "Date A Live: Arusu Install" ], [ "Date A Live: Rine Utopia" ], [ "Datenshi no Amai Yuuwaku x Kaikan Phrase" ], [ "Dawn of Heroes" ], [ "Dead Island" ], [ "Dead Island" ], [ "Dead Island" ], [ "Dead Island: Riptide" ], [ "Dead Island: Riptide" ], [ "Dead Rising 2" ], [ "Dead Rising 2" ], [ "Dead Rising 2" ], [ "Dead Rising 2: Off the Record" ], [ "Dead Rising 2: Off the Record" ], [ "Dead Rising 2: Off the Record" ], [ "Dead Rising 3" ], [ "Dead Space 2" ], [ "Dead Space 2" ], [ "Dead Space 2" ], [ "Dead Space 3" ], [ "Dead Space 3" ], [ "Dead or Alive 5" ], [ "Dead or Alive 5" ], [ "Dead or Alive 5" ], [ "Dead or Alive Paradise" ], [ "Dead or Alive: Dimensions" ], [ "Dead to Rights: Retribution" ], [ "Dead to Rights: Retribution" ], [ "Deadliest Catch: Sea of Chaos" ], [ "Deadliest Catch: Sea of Chaos" ], [ "Deadliest Catch: Sea of Chaos" ], [ "Deadliest Warrior: Ancient Combat" ], [ "Deadliest Warrior: Ancient Combat" ], [ "Deadly Premonition" ], [ "Deadly Premonition" ], [ "Deadpool" ], [ "Deadpool" ], [ "Deal or No Deal: Special Edition" ], [ "Death Connection Portable" ], [ "DeathSmiles II" ], [ "Deca Sports 3" ], [ "Deca Sports Extreme" ], [ "Deception IV: Blood Ties" ], [ "Deception IV: Blood Ties" ], [ "Deepak Chopra's Leela" ], [ "Deepak Chopra's Leela" ], [ "Deer Drive" ], [ "Deer Drive: Legends" ], [ "Def Jam Rapstar" ], [ "Def Jam Rapstar" ], [ "Def Jam Rapstar" ], [ "Defiance" ], [ "Defiance" ], [ "Defiance" ], [ "Dementium II" ], [ "Demolition Company: Gold Edition" ], [ "Demon Gaze" ], [ "Demon Gaze 2" ], [ "Dengeki Bunko Fighting Climax" ], [ "Dengeki Bunko Fighting Climax" ], [ "Dengeki Gakuen RPG: Cross of Venus Special" ], [ "Dennou Senki Virtual-On Force" ], [ "Densetsu no Yuusha no Densetsu: Legendary Saga" ], [ "Densha de Go! Tokubetsu-hen: Fukkatsu Shouwa no Yamatesen" ], [ "Deponia" ], [ "Derby Stallion Gold" ], [ "Despicable Me: The Game" ], [ "Despicable Me: The Game" ], [ "Despicable Me: The Game" ], [ "Despicable Me: The Game - Minion Mayhem" ], [ "Destiny" ], [ "Destiny" ], [ "Destiny" ], [ "Destiny" ], [ "Detective Conan: Marionette Symphony" ], [ "Detective Conan: Phantom Rhapsody" ], [ "Detective Conan: Prelude from the Past" ], [ "Detective Conan: Prelude from the Past" ], [ "Detective Jinguuji Saburo: Ronde Revenge" ], [ "Detective Opera: Milky Holmes 2" ], [ "Deus Ex: Human Revolution" ], [ "Deus Ex: Human Revolution" ], [ "Deus Ex: Human Revolution" ], [ "Deus Ex: Human Revolution" ], [ "Devil May Cry HD Collection" ], [ "Devil May Cry HD Collection" ], [ "DiRT 3" ], [ "DiRT 3" ], [ "DiRT 3" ], [ "DiRT Showdown" ], [ "DiRT Showdown" ], [ "Diablo III" ], [ "Diablo III" ], [ "Diablo III" ], [ "Diablo III" ], [ "Diablo III" ], [ "Diabolik Lovers" ], [ "Diabolik Lovers: More Blood" ], [ "Diabolik Lovers: Vandead Carnival" ], [ "Diego's Build & Rescue" ], [ "Dies Irae: Amantes Amentes" ], [ "Digger Simulator" ], [ "Digging for Dinosaurs" ], [ "Digimon Adventure" ], [ "Digimon All-Star Rumble" ], [ "Digimon All-Star Rumble" ], [ "Digimon Story: Lost Evolution" ], [ "Digimon Story: Super Xros Wars Blue/Red" ], [ "Digimon World Re:Digitize" ], [ "Digimon World Re:Digitize Decode" ], [ "Disciples III: Renaissance" ], [ "Disgaea 4: A Promise Unforgotten" ], [ "Disgaea 4: A Promise Unforgotten" ], [ "Disgaea D2: A Brighter Darkness" ], [ "Disgaea Infinite" ], [ "Dishonored" ], [ "Dishonored" ], [ "Dishonored" ], [ "Disney Channel: All Star Party" ], [ "Disney Fairies: Tinker Bell and the Great Fairy Rescue" ], [ "Disney Guilty Party" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Magical World" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Princess: Enchanting Storybooks" ], [ "Disney Princess: Enchanting Storybooks" ], [ "Disney Sing It: Family Hits" ], [ "Disney Sing It: Family Hits" ], [ "Disney Sing It: Party Hits" ], [ "Disney Sing It: Party Hits" ], [ "Disney Tangled" ], [ "Disney Tangled" ], [ "Disney Universe" ], [ "Disney Universe" ], [ "Disney Universe" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Dissidia 012: Duodecim Final Fantasy" ], [ "Divinity II: Flames of Vengeance" ], [ "Divinity II: The Dragon Knight Saga" ], [ "Divinity: Original Sin" ], [ "DmC: Devil May Cry" ], [ "DmC: Devil May Cry" ], [ "Do-Konjou Shougakussei: Bon Bita - Hadaka no Choujou Ketsusen!! Bita vs. Dokuro Dei!" ], [ "DoDonPachi Daifukkatsu: Black Label" ], [ "DoDonPachi Resurrection" ], [ "DoDonPachi Saidaioujou" ], [ "Doctor Lautrec and the Forgotten Knights" ], [ "Doctor Who: Evacuation Earth" ], [ "Doctor Who: Return to Earth" ], [ "Doki Doki! PreCure Narikiri Life!" ], [ "Doki-Doki Universe" ], [ "DokuSui: DokiDoki Suikoden" ], [ "Dokuro" ], [ "Dolly Kanon Dokidoki Tokimeki Himitsu no Ongaku Katsudou Start Desu!!" ], [ "Don Bradman Cricket 14" ], [ "Donkey Kong Country Returns" ], [ "Donkey Kong Country Returns" ], [ "Donkey Kong Country: Tropical Freeze" ], [ "Dood's Big Adventure" ], [ "Doom 3 BFG Edition" ], [ "Doom 3 BFG Edition" ], [ "Doom 3 BFG Edition" ], [ "Dora & Kai-Lan's Pet Shelter" ], [ "Dora's Big Birthday Adventure" ], [ "Dora's Big Birthday Adventure" ], [ "Dora's Big Birthday Adventure" ], [ "Dora's Cooking Club" ], [ "Doraemon: Nobita and the Island of Miracles" ], [ "Doraemon: Nobita to Himitsu Dougu Hakubutsukan" ], [ "Doraemon: Shin Nobita no Daimakyou Peko to 5-nin no Tankenta" ], [ "Dragon Age II" ], [ "Dragon Age II" ], [ "Dragon Age II" ], [ "Dragon Age Origins: Awakening" ], [ "Dragon Age Origins: Awakening" ], [ "Dragon Age Origins: Awakening" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Origins - Ultimate Edition" ], [ "Dragon Ball Heroes: Ultimate Mission" ], [ "Dragon Ball Heroes: Ultimate Mission 2 " ], [ "Dragon Ball Kai: Ultimate Butouden" ], [ "Dragon Ball Z for Kinect" ], [ "Dragon Ball Z: Battle of Z" ], [ "Dragon Ball Z: Battle of Z" ], [ "Dragon Ball Z: Battle of Z" ], [ "Dragon Ball Z: Tenkaichi Tag Team" ], [ "Dragon Ball Z: Ultimate Tenkaichi" ], [ "Dragon Ball Z: Ultimate Tenkaichi" ], [ "Dragon Ball: Origins 2" ], [ "Dragon Ball: Raging Blast 2" ], [ "Dragon Ball: Raging Blast 2" ], [ "Dragon Quest 25 Shuunen Kinin: Famicom & Super Famicom Dragon Quest I-II-III" ], [ "Dragon Quest Monsters 2" ], [ "Dragon Quest Monsters: Battle Road Victory" ], [ "Dragon Quest Monsters: Joker 2" ], [ "Dragon Quest Monsters: Joker 2 Professional" ], [ "Dragon Quest Monsters: Terry's Wonderland 3D" ], [ "Dragon Quest VI: Realms of Revelation" ], [ "Dragon Quest VII: Warriors of Eden" ], [ "Dragon Quest X" ], [ "Dragon Quest X" ], [ "Dragon Quest X" ], [ "Dragon's Crown" ], [ "Dragon's Crown" ], [ "Dragon's Dogma" ], [ "Dragon's Dogma" ], [ "Dragon's Lair" ], [ "Dragon's Lair Trilogy" ], [ "Drakengard 3" ], [ "Dramatical Murder Re:code" ], [ "Drawn to Life Collection" ], [ "Dream C Club" ], [ "Dream C Club Portable" ], [ "Dream C Club Zero" ], [ "Dream C Club: GoGo " ], [ "Dream Chronicles" ], [ "Dream Club Zero Portable" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "Dreamcast Collection" ], [ "Dreamer Series: Zoo Keeper" ], [ "Dreamworks 2-in-1 Party Pack" ], [ "DriveClub" ], [ "Driver: Renegade" ], [ "Driver: San Francisco" ], [ "Driver: San Francisco" ], [ "Driver: San Francisco" ], [ "Driver: San Francisco" ], [ "Driving Simulator 2011" ], [ "DualPenSports" ], [ "DuckTales: Remastered" ], [ "DuckTales: Remastered" ], [ "DuckTales: Remastered" ], [ "DuckTales: Remastered" ], [ "Duke Nukem Forever" ], [ "Duke Nukem Forever" ], [ "Duke Nukem Forever" ], [ "Duke Nukem Trilogy: Critical Mass" ], [ "Dunamis 15" ], [ "Dunamis 15" ], [ "Dungeon Defenders" ], [ "Dungeon Hunter Alliance" ], [ "Dungeon Siege III" ], [ "Dungeon Siege III" ], [ "Dungeon Siege III" ], [ "Dungeon Travelers 2: The Royal Library & The Monster Seal" ], [ "Dungeon Travelers 2: The Royal Library & The Monster Seal" ], [ "Dungeons" ], [ "Dungeons & Dragons: Neverwinter Nights - Complete" ], [ "Dungeons & Dragons: Shadow over Mystara" ], [ "Dungeons - The Dark Lord" ], [ "Durarara!! 3-way Standoff" ], [ "Durarara!! 3way Standoff: Alley" ], [ "Dynasty Warriors 7" ], [ "Dynasty Warriors 7" ], [ "Dynasty Warriors 7: Empires" ], [ "Dynasty Warriors 7: Xtreme Legends" ], [ "Dynasty Warriors 8" ], [ "Dynasty Warriors 8" ], [ "Dynasty Warriors 8: Empires" ], [ "Dynasty Warriors 8: Empires" ], [ "Dynasty Warriors 8: Empires" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors Next" ], [ "Dynasty Warriors Vs" ], [ "Dynasty Warriors: Gundam 3" ], [ "Dynasty Warriors: Gundam 3" ], [ "Dynasty Warriors: Gundam Reborn" ], [ "Dynasty Warriors: Gundam Reborn" ], [ "E.X. Troopers" ], [ "E.X. Troopers" ], [ "EA Sports Active 2" ], [ "EA Sports Active 2" ], [ "EA Sports Active 2" ], [ "EA Sports Active NFL Training Camp" ], [ "EA Sports MMA" ], [ "EA Sports MMA" ], [ "EA Sports UFC" ], [ "EA Sports UFC" ], [ "ESA Game Pack" ], [ "ESPN: Sports Connection" ], [ "Earth Defense Force 2017 Portable" ], [ "Earth Defense Force 2025" ], [ "Earth Defense Force 2025" ], [ "Earth Defense Force 2: Invaders from Planet Space" ], [ "Earth Defense Force 2: Invaders from Planet Space" ], [ "Earth Defense Force: Insect Armageddon" ], [ "Earth Defense Force: Insect Armageddon" ], [ "Earth Seeker" ], [ "East India Company Collection" ], [ "Edna & Harvey: Harvey's New Eyes" ], [ "Eigo de Tabisuru: Little Charo" ], [ "El Shaddai: Ascension of the Metatron" ], [ "El Shaddai: Ascension of the Metatron" ], [ "Elkrone no Atelier: Dear for Otomate" ], [ "Elminage Gothic: Ulm Zakir to Yami no Gishiki" ], [ "Elminage II DS Remix: Sousei no Megami to Unmai no Daichi" ], [ "Elminage III: Ankoku no Shito to Yaiyou no Kyuuden" ], [ "Elminage Original: Majo to Megami to Kamigami no Yubiwa" ], [ "Elven Legacy Collection" ], [ "Emergency 2012" ], [ "Emergency 2012" ], [ "Emily Archer and the Curse of Tutankhamun" ], [ "Emily the Strange: Strangerous" ], [ "End of Nations" ], [ "Enemy Front" ], [ "Enemy Front" ], [ "Enslaved: Odyssey to the West" ], [ "Enslaved: Odyssey to the West" ], [ "Entaku no Seito: Students of Round" ], [ "Entaku no Seito: The Eternal Legend" ], [ "Epic Mickey" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey: Power of Illusion" ], [ "Escape Dead Island" ], [ "Escape Dead Island" ], [ "Escape The Museum" ], [ "Escape the Emerald Star" ], [ "Espgaluda II Black Label" ], [ "Etrian Odyssey 2 Untold: Knight of Fafnir" ], [ "Etrian Odyssey II: Heroes of Lagaard" ], [ "Etrian Odyssey III: The Drowned City" ], [ "Etrian Odyssey IV: Legends of the Titans" ], [ "Etrian Odyssey Untold: The Millennium Girl" ], [ "Eureka Seven AO: Jungfrau no Hanabanatachi" ], [ "Euro Truck Simulator 2" ], [ "Even in a Game Listen to Me Girls. I Am Your Father!" ], [ "EverQuest II: Destiny of Velious" ], [ "Everybody Dance" ], [ "ExerBeat" ], [ "Exstetra" ], [ "Exstetra" ], [ "EyePet" ], [ "EyePet & Friends" ], [ "F.E.A.R. 3" ], [ "F.E.A.R. 3" ], [ "F.E.A.R. 3" ], [ "F1 2010" ], [ "F1 2010" ], [ "F1 2010" ], [ "F1 2011" ], [ "F1 2011" ], [ "F1 2011" ], [ "F1 2011" ], [ "F1 2011" ], [ "F1 2012" ], [ "F1 2012" ], [ "F1 2012" ], [ "F1 2013" ], [ "F1 2013" ], [ "F1 2014" ], [ "F1 2014" ], [ "F1 2014" ], [ "F1 Race Stars" ], [ "F1 Race Stars" ], [ "F1 Race Stars" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA Manager 12" ], [ "FIFA Soccer" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Street" ], [ "FIFA Street" ], [ "FabStyle" ], [ "FabStyle" ], [ "Fable" ], [ "Fable III" ], [ "Fable III" ], [ "Fable: The Journey" ], [ "FairlyLife: MiracleDays" ], [ "Fairy Fencer F" ], [ "Fairy Tail: Portable Guild" ], [ "Fairy Tail: Portable Guild 2" ], [ "Fairy Tail: Zelef Kakusei" ], [ "Fallout: New Vegas" ], [ "Fallout: New Vegas" ], [ "Fallout: New Vegas" ], [ "Family Feud Decades" ], [ "Family Feud: 2012 Edition" ], [ "Family Feud: 2012 Edition" ], [ "Family Game Night 4: The Game Show" ], [ "Family Game Night 4: The Game Show" ], [ "Family Game Night 4: The Game Show" ], [ "Family Guy: Back to the Multiverse" ], [ "Family Guy: Back to the Multiverse" ], [ "Family Party: 30 Great Games Winter Fun" ], [ "Family Party: 90 Great Games Party Pack" ], [ "Family Party: Fitness Fun" ], [ "Family Trainer: Treasure Adventure" ], [ "Fancy Nancy: Tea Party Time!" ], [ "Fantasia: Music Evolved" ], [ "Fantasia: Music Evolved" ], [ "Fantastic Pets" ], [ "Fantasy Life" ], [ "Far Cry 3" ], [ "Far Cry 3" ], [ "Far Cry 3" ], [ "Far Cry 4" ], [ "Far Cry 4" ], [ "Far Cry 4" ], [ "Far Cry 4" ], [ "Far Cry 4" ], [ "Farm Frenzy 3" ], [ "Farming Simulator 2011" ], [ "Farming Simulator 2012" ], [ "Farming Simulator 2013" ], [ "Farming Simulator 2013" ], [ "Farming Simulator 2013" ], [ "Farming Simulator 2014" ], [ "Farming Simulator 2015" ], [ "Farmtopia" ], [ "Fast & Furious: Showdown" ], [ "Fast & Furious: Showdown" ], [ "Fast Food Panic" ], [ "Fat Princess: Fistful of Cake" ], [ "Fatal Frame 2: Wii Edition" ], [ "Fatal Frame: Maiden of Black Water" ], [ "Fate/Extra" ], [ "Fate/Extra CCC" ], [ "Fate/Stay Night [Réalta Nua]" ], [ "Fate/hollow ataraxia" ], [ "Fate/kaleid liner Prisma Illya" ], [ "Field & Stream: Total Outdoorsman Challenge" ], [ "Fight Night Champion" ], [ "Fight Night Champion" ], [ "Fighter Within" ], [ "Fighters Uncaged" ], [ "Final Fantasy Explorers" ], [ "Final Fantasy III" ], [ "Final Fantasy IV: The Complete Collection" ], [ "Final Fantasy Type-0" ], [ "Final Fantasy X / X-2 HD Remaster" ], [ "Final Fantasy X / X-2 HD Remaster" ], [ "Final Fantasy XIII" ], [ "Final Fantasy XIII-2" ], [ "Final Fantasy XIII-2" ], [ "Final Fantasy XIV: A Realm Reborn" ], [ "Final Fantasy XIV: A Realm Reborn" ], [ "Final Fantasy XIV: A Realm Reborn" ], [ "Fire Emblem: Awakening" ], [ "Fire Emblem: Shin Monshou no Nazo Hikari to Kage no Eiyuu" ], [ "Fishdom" ], [ "Fishdom 2 Deluxe" ], [ "Fishing Resort" ], [ "Fist of the North Star: Ken's Rage" ], [ "Fist of the North Star: Ken's Rage" ], [ "Fist of the North Star: Ken's Rage 2" ], [ "Fist of the North Star: Ken's Rage 2" ], [ "Fist of the North Star: Ken's Rage 2" ], [ "Fit in Six" ], [ "Fit in Six" ], [ "FlingSmash" ], [ "Football Manager 2011" ], [ "Football Manager 2012" ], [ "Football Manager 2012" ], [ "Football Manager 2013" ], [ "Football Manager 2014" ], [ "Football Manager 2014" ], [ "Football Manager 2015" ], [ "Football Manager Handheld 2011" ], [ "Fortune Street" ], [ "Forza Horizon" ], [ "Forza Horizon 2" ], [ "Forza Horizon 2" ], [ "Forza Motorsport 3: Ultimate Edition" ], [ "Forza Motorsport 4" ], [ "Forza Motorsport 5" ], [ "Fossil Fighters: Champions" ], [ "Fossil Fighters: Frontier" ], [ "Foto Showdown" ], [ "Freedom Wars" ], [ "Frogger 3D" ], [ "Front Mission Evolved" ], [ "Front Mission Evolved" ], [ "Front Mission Evolved" ], [ "Frontier Gate" ], [ "Fujiko F. Fujio Characters: Great Assembly! Slightly Fantastic Slapstick Party" ], [ "Funky Barn" ], [ "Fuse (Insomniac)" ], [ "Fuse (Insomniac)" ], [ "Fushigi no Dungeon: Fuurai no Shiren 3 Portable" ], [ "Fushigi no Dungeon: Fuurai no Shiren 5 - Fortune Tower to Unmei no Dice" ], [ "G1 Grand Prix" ], [ "GA - Geijutsuka Art Design Class: Slapstick Wonder Land" ], [ "GRID 2" ], [ "GRID 2" ], [ "GRID 2" ], [ "GRID Autosport" ], [ "GRID Autosport" ], [ "GRID Autosport" ], [ "GTI Club: Supermini Festa!" ], [ "Gabrielle's Ghostly Groove 3D" ], [ "GachiTora! Abarenbou Kyoushi in High School" ], [ "Gaist Crusher" ], [ "Gaist Crusher God" ], [ "Gaku ? Ou: The Royal Seven Stars" ], [ "Gakuen Hetalia" ], [ "Gakuen Hetalia Portable" ], [ "Gakuen K: Wonderful School Days" ], [ "Gal Gun" ], [ "Gal*Gun" ], [ "Galactic Taz Ball" ], [ "Galaxy Racers" ], [ "Game & Wario" ], [ "Game Center CX: 3-Choume no Arino" ], [ "Game Hits!" ], [ "Game Party in Motion" ], [ "Game Party: Champions" ], [ "Game of Thrones" ], [ "Game of Thrones" ], [ "Game of Thrones" ], [ "Games Around the World" ], [ "Gears of War 3" ], [ "Gears of War: Judgment" ], [ "Gekiatsu!! Pachi Game Tamashi Max: Evangelion 7 x Seimei no Kodou" ], [ "Gekiatsu!! Pachi Game Tamashi Vol. 1: CR Evangelion - Shinjitsu no Tsubasa" ], [ "Gekiatsu!! Pachi Game Tamashi Vol. 2: CR Evangelion - Shinjitsu no Tsubasa" ], [ "Gekiatsu!! Pachi Game Tamashi: CR Evangelion - Hajimari no Fukuin" ], [ "Gekijouban Macross F: Itsuwarino Utahime - Hybrid Pack" ], [ "Gekijouban Macross F: Sayonara no Tsubasa - Hybrid Pack" ], [ "Gekijouban Madoka Magicka: The Battle Pentagram" ], [ "Gekka Ryouran Romance" ], [ "Gem Quest: 4 Elements" ], [ "Gem Smashers" ], [ "Gem Smashers" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Genkai Tokki Monster Monpiece" ], [ "Genkai Totsuki Moero Chronicle" ], [ "Genroh" ], [ "Germany's Next Topmodel 2011" ], [ "Germany's Next Topmodel 2011" ], [ "Get Fit with Mel B" ], [ "Get Fit with Mel B" ], [ "Get Up and Dance" ], [ "Get Up and Dance" ], [ "Geten no Hana" ], [ "Geten no Hana: Yume Akari" ], [ "Getsuei Gakuen: kou" ], [ "Ghost Trick: Phantom Detective" ], [ "Ghostbusters: The Video Game (DS Version)" ], [ "Ghostbusters: The Video Game (DS Version)" ], [ "Ginga Tetsudou 999 DS" ], [ "Gintama no Sugoroku" ], [ "Girls Only" ], [ "Girls RPG: Cinderellife" ], [ "Girls und Panzer: I Will Master Tankery" ], [ "Gladiator Begins" ], [ "Gloria Union" ], [ "Go Vacation" ], [ "GoGo's Crazy Bones" ], [ "God Eater" ], [ "God Eater 2" ], [ "God Eater 2" ], [ "God of War Collection" ], [ "God of War III" ], [ "God of War Saga" ], [ "God of War: Ascension" ], [ "God of War: Ghost of Sparta" ], [ "God of War: Origins Collection" ], [ "Gods Eater Burst" ], [ "Godzilla (2014)" ], [ "Godzilla (2015)" ], [ "Gokujou!! Mecha Mote Iinchou: MM My Best Friend!" ], [ "Gold's Gym: Dance Workout" ], [ "Golden Sun: Dark Dawn" ], [ "Golden Time: Vivid Memories" ], [ "GoldenEye 007 (2010)" ], [ "GoldenEye 007 (2010)" ], [ "Goldeneye 007: Reloaded" ], [ "Goldeneye 007: Reloaded" ], [ "Gon: BakuBakuBakuBaku Adventure" ], [ "Goodbye Deponia" ], [ "Gormiti: The Lords of Nature!" ], [ "Gormiti: The Lords of Nature!" ], [ "Gotouchi Tetsudou: Gotouchi Chara to Nihon Zenkoku no Tabi" ], [ "Gotouchi Tetsudou: Gotouchi Chara to Nihon Zenkoku no Tabi" ], [ "Gran Turismo 5" ], [ "Gran Turismo 6" ], [ "Grand Knights History" ], [ "Grand Slam Tennis 2" ], [ "Grand Slam Tennis 2" ], [ "Grand Theft Auto V" ], [ "Grand Theft Auto V" ], [ "Grand Theft Auto V" ], [ "Grand Theft Auto V" ], [ "Gravity Rush" ], [ "Gray Matter" ], [ "Gray Matter" ], [ "Grease" ], [ "Grease" ], [ "Grease Dance" ], [ "Grease Dance" ], [ "Great Battle Full Blast" ], [ "Great Edo Blacksmith" ], [ "Great Party Games" ], [ "Green Day: Rock Band" ], [ "Green Day: Rock Band" ], [ "Green Day: Rock Band" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Greg Hastings Paintball 2" ], [ "Greg Hastings Paintball 2" ], [ "Greg Hastings Paintball 2" ], [ "Grisaia no Kajitsu: La Fruit de la Grisaia" ], [ "Grisaia no Meikyuu: Le Labyrinthe de la Grisaia" ], [ "Grisaia no Rakuen: Le Eden de la Grisaia" ], [ "Growlanser IV: Over Reloaded" ], [ "Guild 01" ], [ "Guild Wars 2" ], [ "Guilty Gear Xrd: Sign" ], [ "Guilty Gear Xrd: Sign" ], [ "Guitar Hero: Warriors of Rock" ], [ "Guitar Hero: Warriors of Rock" ], [ "Guitar Hero: Warriors of Rock" ], [ "Gummy Bears Magical Medallion" ], [ "Gummy Bears Mini Golf" ], [ "Gummy Bears Mini Golf" ], [ "Gunblade NY & L.A. Machineguns Arcade Hits Pack" ], [ "Gundam Assault Survive" ], [ "Gundam Breaker" ], [ "Gundam Breaker" ], [ "Gundam Breaker 2" ], [ "Gundam Breaker 2" ], [ "Gundam Memories: Tatakai no Kioku" ], [ "Gundam Try Age SP" ], [ "Gundam the 3D Battle" ], [ "Gungnir: Mayari no Gunshin to Eiyuu Sensou" ], [ "Gunslingers" ], [ "HOP" ], [ "Hagane no Renkinjutsushi - Fullmetal Alchemist: Yakusoku no Hi e" ], [ "Haikyuu!! Tsunage! Itadaki no Keshiki!!" ], [ "Hajime no Ippo: The Fighting! (2014)" ], [ "Hakuoki: Reimeiroku DS" ], [ "Hakuoki: Stories of the Shinsengumi" ], [ "Hakuouki DS" ], [ "Hakuouki SSL: Sweet School Life" ], [ "Hakuouki: Bakumatsu Musou Roku" ], [ "Hakuouki: Reimeiroku" ], [ "Hakuouki: Reimeiroku Portable" ], [ "Hakuouki: Yuugi Roku" ], [ "Hakuouki: Yuugi Roku DS" ], [ "Hakuouki: Yuugi Roku Ni - Matsuri Hayashi to Taishitachi" ], [ "Hakuouki: Zuisouroku DS" ], [ "Hakuouki: Zuisouroku Portable" ], [ "Hallowed Legends: Samhain" ], [ "Halo 4" ], [ "Halo: Combat Evolved Anniversary" ], [ "Halo: Reach" ], [ "Halo: The Master Chief Collection" ], [ "Hana to Ikimo no Rittai Zukan" ], [ "Hana to Otome ni Shukufuku o: Harekaze no Okurimono" ], [ "Hanaoni: Koisomeru Koku - Eikyuu no Shirushi" ], [ "Hanaoni: Yume no Tsudzuki" ], [ "Hanasaku Manimani" ], [ "Hanayaka Kana, Ware ga Ichizoku" ], [ "Hanayaka Kana, Ware ga Ichizoku Twin Pack" ], [ "Hanayaka Kana, Ware ga Ichizoku: Tasogare Polarstar" ], [ "Hanayamata: Yosakoi Live" ], [ "HappinessCharge PreCure! Kawarun Collection" ], [ "Happy Feet Two" ], [ "Harley-Davidson: Road Trip" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harukanaru Toki no Naka de 4: Aizouban" ], [ "Harukanaru Toki no Naka de 5" ], [ "Harukanaru Toki no Naka de 5: Kazahanaki" ], [ "Harvest Moon 3D: A New Beginning" ], [ "Harvest Moon: The Lost Valley" ], [ "Harvest Moon: The Tale of Two Towns" ], [ "Hasbro Family Game Night 3" ], [ "Hasbro Family Game Night 3" ], [ "Hasbro Family Game Night 3" ], [ "Hasbro Family Game Night Fun Pack" ], [ "Hasbro Family Game Night Fun Pack" ], [ "HatsuKare * Renai Debut Sengen!" ], [ "Hatsune Miku and Future Stars: Project Mirai" ], [ "Hatsune Miku: Project Diva 2nd" ], [ "Hatsune Miku: Project Diva Extend" ], [ "Hatsune Miku: Project Diva F 2nd" ], [ "Hatsune Miku: Project Diva F 2nd" ], [ "Hatsune Miku: Project Diva f" ], [ "Hatsune Miku: Project Diva f" ], [ "Hatsune Miku: Project Mirai 2" ], [ "Haunted House" ], [ "Heart Catch PreCure! Oshare Collection" ], [ "Heart no Kuni no Alice Anniversary Ver.: Wonderful Wonder World" ], [ "Heart no Kuni no Alice: Wonderful Twin World" ], [ "Heathcliff! Frantic Foto" ], [ "Heathcliff! The Fast and the Furriest" ], [ "Heavy Fire: Afghanistan" ], [ "Heavy Fire: Afghanistan" ], [ "Heavy Fire: Afghanistan" ], [ "Heavy Fire: The Chosen Few 3D" ], [ "Heavy Rain" ], [ "Hello Kitty Seasons" ], [ "Hello Kitty: Birthday Adventures" ], [ "Hero Bank" ], [ "Hero Bank 2" ], [ "Heroes Phantasia" ], [ "Heroes VS" ], [ "Heroes of Hellas 2: Olympia" ], [ "Heroes of Ruin" ], [ "Hidden Mysteries: Buckingham Palace" ], [ "Hidden Mysteries: Salem Secrets - Witch Trials of 1692" ], [ "Hidden Mysteries: Vampire Secrets" ], [ "High Velocity Bowling" ], [ "Higurashi no Naku Koro ni Kizuna: Dai-Yon-Kan - Kizuna" ], [ "Hiiro no Kakera: Shin Tamayori Hime Denshou - Piece of Future" ], [ "Hiiro no Kakera: Shin Tamayori Hime Denshou Portable" ], [ "Himawari: Pebble in the Sky Portable" ], [ "Hisshou Pachinko * Pachi-Slot Kouryaku Series Portable Vol. 2: CR Evangelion - Hajimari no Fukuin" ], [ "Hisshou Pachinko*Pachi-Slot Kouryaku Series DS Vol. 5: Shinseiki Evangelion - Tamashii no Kiseki" ], [ "Hisshou Pachinko*Pachi-Slot Kouryaku Series Portable Vol. 1: Shinseiki Evangelion - Tamashii no Kiseki" ], [ "Hitman: Absolution" ], [ "Hitman: Absolution" ], [ "Hitman: Absolution" ], [ "Hitman: HD Trilogy" ], [ "Hitman: HD Trilogy" ], [ "Hole in the Wall: Deluxe Edition" ], [ "Hollywood Squares" ], [ "Homefront" ], [ "Homefront" ], [ "Homefront" ], [ "Hometown Story" ], [ "Honda ATV Fever" ], [ "Honda ATV Fever" ], [ "Hoppechan: Minna de Odekake! Waku Waku Hoppe Land!!" ], [ "Hoppechan: Tsukutte! Asonde! Punipuni Town!!" ], [ "Hoppie" ], [ "Horrid Henry's Horrid Adventure" ], [ "Horrid Henry: Missions of Mischief" ], [ "Horrid Henry: Missions of Mischief" ], [ "Horrid Henry: The Good, The Bad and The Bugly" ], [ "Horses 3D" ], [ "Hot Shots Golf: World Invitational" ], [ "Hot Shots Golf: World Invitational" ], [ "Hot Shots Tennis: Get a Grip" ], [ "Hot Wheels: Track Attack" ], [ "Hot Wheels: Track Attack" ], [ "House M.D." ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "Hudson x GReeeeN Live!? DeeeeS!?" ], [ "Hulk Hogan's Main Event" ], [ "Hunted: The Demon's Forge" ], [ "Hunted: The Demon's Forge" ], [ "Hunted: The Demon's Forge" ], [ "Hunter x Hunter: Wonder Adventure" ], [ "Hyakki Yagyou Kaidan Romance" ], [ "Hyakumanton no Bara Bara" ], [ "Hyperdevotion Noire: Goddess Black Heart" ], [ "Hyperdimension Idol Neptunia PP" ], [ "Hyperdimension Neptunia" ], [ "Hyperdimension Neptunia" ], [ "Hyperdimension Neptunia Re;Birth 2" ], [ "Hyperdimension Neptunia Re;Birth 3" ], [ "Hyperdimension Neptunia U: Action Unleashed" ], [ "Hyperdimension Neptunia Victory" ], [ "Hyperdimension Neptunia Victory" ], [ "Hyperdimension Neptunia mk2" ], [ "Hyrule Warriors" ], [ "I Am In The Movie" ], [ "I Am In The Movie" ], [ "I Don't Have Many Friends Portable" ], [ "I Heart Geeks" ], [ "I Love Horses: Rider's Paradise" ], [ "I Love Puppies" ], [ "I Spy: Castle" ], [ "I Spy: Spooky Mansion" ], [ "I Spy: Universe" ], [ "ICO" ], [ "IGT Slots: Lucky Larry's Lobstermania" ], [ "IL-2 Sturmovik: Cliffs of Dover" ], [ "Ikki Tousen: Xross Impact" ], [ "Imagine Animal Doctor Care Center" ], [ "Imagine: Fashion Designer" ], [ "Imagine: Fashion Stylist" ], [ "Imagine: Reporter" ], [ "Imagine: Resort Owner" ], [ "Imagine: Sweet 16" ], [ "Inazuma Eleven 3" ], [ "Inazuma Eleven 3" ], [ "Inazuma Eleven GO" ], [ "Inazuma Eleven GO 3: Galaxy" ], [ "Inazuma Eleven GO Strikers 2013" ], [ "Inazuma Eleven Go 2: Chrono Stone" ], [ "Inazuma Eleven Strikers" ], [ "Inazuma Eleven Strikers 2012 Xtreme" ], [ "Infamous: First Light" ], [ "Infinite Stratos 2: Ignition Hearts" ], [ "Infinite Stratos 2: Ignition Hearts" ], [ "Injustice: Gods Among Us" ], [ "Injustice: Gods Among Us" ], [ "Injustice: Gods Among Us" ], [ "Injustice: Gods Among Us" ], [ "Injustice: Gods Among Us" ], [ "Instant Brain" ], [ "International Cricket 2010" ], [ "International Cricket 2010" ], [ "Inversion" ], [ "Inversion" ], [ "Invizimals: Shadow Zone" ], [ "Invizimals: The Alliance" ], [ "Invizimals: The Lost Kingdom" ], [ "Invizimals: The Lost Tribes" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Ishin Renka: Ryouma Gaiden" ], [ "Ishin no Arashi: Shippuu Ryuumeden" ], [ "Isshoni Gohan. Portable" ], [ "Ivy the Kiwi?" ], [ "Ivy the Kiwi?" ], [ "Iza, Shutsujin! Koisen" ], [ "J Legend Retsuden" ], [ "J Stars Victory Vs." ], [ "J Stars Victory Vs." ], [ "J-League Pro Soccer Club o Tsukurou! 7 Euro Plus" ], [ "J-League Winning Eleven 2010: Club Championship" ], [ "J.League Pro Soccer Club o Tsukurou! 8 Euro Plus" ], [ "JASF: Jane's Advanced Strike Fighters" ], [ "JASF: Jane's Advanced Strike Fighters" ], [ "JASF: Jane's Advanced Strike Fighters" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Legends" ], [ "James Bond 007: Legends" ], [ "James Bond 007: Legends" ], [ "James Noir's Hollywood Crimes" ], [ "Jane's Hotel" ], [ "Jaws: Ultimate Predator" ], [ "Jaws: Ultimate Predator" ], [ "Jeopardy!" ], [ "Jeopardy!" ], [ "Jerry Rice and Nitus' Dog Football" ], [ "Jewel Legends: Tree of Life" ], [ "Jewel Link Chronicles: Legend of Athena" ], [ "Jewel Master: Cradle Of Rome 2" ], [ "Jewel Master: Cradle Of Rome 2" ], [ "Jewel Master: Cradle of Athena" ], [ "Jewel Master: Cradle of Persia" ], [ "Jewel Match" ], [ "Jewel Match 2" ], [ "Jewel Quest 5: The Sleepless Star" ], [ "Jewel Quest 5: The Sleepless Star" ], [ "Jewel Quest IV: Heritage" ], [ "Jewel Quest Mysteries 2: Trail of the Midnight Heart" ], [ "Jewel Quest Mysteries: Curse of the Emerald Tear" ], [ "Jewel Time Deluxe" ], [ "Jewels of the Ages" ], [ "Jewels of the Tropical Lost Island" ], [ "Jikandia: The Timeless Land" ], [ "Jikkyou Powerful Pro Yakyuu 2010" ], [ "Jikkyou Powerful Pro Yakyuu 2010" ], [ "Jikkyou Powerful Pro Yakyuu 2011" ], [ "Jikkyou Powerful Pro Yakyuu 2011" ], [ "Jikkyou Powerful Pro Yakyuu 2011 Ketteiban" ], [ "Jikkyou Powerful Pro Yakyuu 2011 Ketteiban" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2014" ], [ "Jikkyou Powerful Pro Yakyuu 2014" ], [ "Jillian Michaels Fitness Ultimatum 2011" ], [ "Jillian Michaels' Fitness Adventure" ], [ "Jimmie Johnson's Anything With an Engine" ], [ "Jimmie Johnson's Anything With an Engine" ], [ "Jimmie Johnson's Anything With an Engine" ], [ "Jinguuji Saburou DS: Akai Chou" ], [ "Jissen Pachislot Secrets! Fist of the North Star F - Seikimatsu Kyuuseishu Densetsu" ], [ "JoJo's Bizarre Adventure: All Star Battle" ], [ "JoJo's Bizarre Adventure: All Star Battle" ], [ "John Daly's ProStroke Golf" ], [ "John Daly's ProStroke Golf" ], [ "Johnny Test" ], [ "Joker no Kuni no Alice: Wonderful Wonder World" ], [ "Jonah Lomu Rugby Challenge" ], [ "Jonah Lomu Rugby Challenge" ], [ "Journey" ], [ "Judie no Atelier: Guramnat no Renkinjutsu - Toraware no Morito" ], [ "Junior Brain Trainer 2" ], [ "Junior Classic Books & Fairytales" ], [ "Junior Island Adventure" ], [ "Junior Mystery Quest" ], [ "Just Cause 2" ], [ "Just Cause 2" ], [ "Just Cause 2" ], [ "Just Dance 2" ], [ "Just Dance 2014" ], [ "Just Dance 2014" ], [ "Just Dance 2014" ], [ "Just Dance 2014" ], [ "Just Dance 2014" ], [ "Just Dance 2014" ], [ "Just Dance 2015" ], [ "Just Dance 2015" ], [ "Just Dance 2015" ], [ "Just Dance 2015" ], [ "Just Dance 2015" ], [ "Just Dance 2015" ], [ "Just Dance 2: Extra Songs" ], [ "Just Dance 3" ], [ "Just Dance 3" ], [ "Just Dance 3" ], [ "Just Dance 4" ], [ "Just Dance 4" ], [ "Just Dance 4" ], [ "Just Dance 4" ], [ "Just Dance Kids" ], [ "Just Dance Kids 2" ], [ "Just Dance Kids 2" ], [ "Just Dance Kids 2" ], [ "Just Dance Wii" ], [ "Just Dance Wii 2" ], [ "Just Dance Wii U" ], [ "Just Dance: Disney Party" ], [ "Just Dance: Disney Party" ], [ "Just Dance: Greatest Hits" ], [ "Just Dance: Summer Party" ], [ "Just Sing! Vol. 2" ], [ "Juusanshi Engi Engetsu Sangokuden 2" ], [ "Jyuzaengi: Engetsu Sangokuden" ], [ "K-ON! Houkago Live!!" ], [ "K-On! After School Live!! HD Ver." ], [ "Kadenz fermata//Akkord:fortissimo" ], [ "Kaidan Restaurant: Ura Menu 100-Sen" ], [ "Kaidan Restaurant: Zoku! Shin Menu 100-Sen" ], [ "Kaijuu Busters Powered" ], [ "Kaitou Tenshi Twin Angel: Toki to Sekai no Meikyuu" ], [ "Kaizoku Sentai Gokaiger: Atsumete Henshin! 35 Sentai!" ], [ "Kamen Rider Battle: Ganbaride" ], [ "Kamen Rider: Battride War" ], [ "Kamen Rider: Battride War II" ], [ "Kamen Rider: Battride War II" ], [ "Kamen Rider: Travelers Senki" ], [ "Kami Naru Kimi to" ], [ "Kamigami no Asobi" ], [ "Kana: Imouto" ], [ "Kane & Lynch 2: Dog Days" ], [ "Kane & Lynch 2: Dog Days" ], [ "Kane & Lynch 2: Dog Days" ], [ "Kannou Mukashi Banashi Portable" ], [ "Karaoke Joysound Wii Super DX: Hitori de Minna de Utai Houdai!" ], [ "Karaoke Revolution Glee" ], [ "Karaoke Revolution Glee 2: Road to Regionals" ], [ "Karaoke Revolution Glee: Volume 3" ], [ "Karaoke Revolution Glee: Volume 3" ], [ "Katekyoo Hitman Reborn! DS Fate of Heat III - Yuki no Shugosha Raishuu!" ], [ "Katekyoo Hitman Reborn! DS Flame Rumble XX - Kessen! Shin 6 Chouka" ], [ "Katekyoo Hitman Reborn! Kizuna no Tag Battle" ], [ "Kawaii Koinu DS 3" ], [ "Kazoku Keikaku" ], [ "Ken to Mahou to Gakuen Mono. 2G" ], [ "Ken to Mahou to Gakuen Mono. 3" ], [ "Ken to Mahou to Gakuen Mono. 3" ], [ "Ken to Mahou to Gakuen Mono. 3D" ], [ "Ken to Mahou to Gakuen Mono. Final: Shinnyusei wa Ohimesama" ], [ "Kenka Bancho Bros: Tokyo Battle Royale" ], [ "Kenka Banchou 4: Ichinen Sensou" ], [ "Kenka Banchou 5: Otoko no Housoku" ], [ "Keroro RPG: Kishi to Musha to Densetsu no Kaizoku" ], [ "Keshisasu-Kun: Battle Kas-tival" ], [ "Ketsui: Kizuna Jigoku Tachi Extra" ], [ "Kevin Van Dam: Big Bass Challenge" ], [ "Kid Adventures: Sky Captain" ], [ "Kid Fit Island Resort" ], [ "Kid Icarus: Uprising" ], [ "Kidou Senshi Gundam Seed Battle Destiny" ], [ "Kidou Senshi Gundam UC" ], [ "Kidou Senshi Gundam: Extreme VS" ], [ "Kidou Senshi Gundam: Shin Gihren no Yabou" ], [ "Kids Learn Math: A+ Edition" ], [ "Kids Learn Music A+ Edition" ], [ "Kidz Bop Dance Party! The Video Game" ], [ "Killer Instinct (2013)" ], [ "Killer is Dead" ], [ "Killer is Dead" ], [ "Killzone 3" ], [ "Killzone: Mercenary" ], [ "Killzone: Shadow Fall" ], [ "Kimi ni Todoke: Tsutaeru Kimochi" ], [ "Kimikare: New Semester" ], [ "Kinect Adventures!" ], [ "Kinect Joy Ride" ], [ "Kinect Rush: A Disney Pixar Adventure" ], [ "Kinect Sports" ], [ "Kinect Sports Rivals" ], [ "Kinect Sports: Season Two" ], [ "Kinect Star Wars" ], [ "Kinect: Disneyland Adventures" ], [ "Kinectimals" ], [ "Kinectimals: Now with Bears!" ], [ "King Arthur II" ], [ "King of Fighters 2002: Unlimited Match Tougeki Ver." ], [ "Kingdom Hearts" ], [ "Kingdom Hearts 3D: Dream Drop Distance" ], [ "Kingdom Hearts II" ], [ "Kingdom Hearts Re:coded" ], [ "Kingdom Hearts: Birth by Sleep" ], [ "Kingdom Hearts: Birth by Sleep - Final Mix" ], [ "Kingdom: Ikkitousen no Ken" ], [ "Kingdoms of Amalur: Reckoning" ], [ "Kingdoms of Amalur: Reckoning" ], [ "Kingdoms of Amalur: Reckoning" ], [ "Kiniro no Corda 3" ], [ "Kiniro no Corda 3" ], [ "Kirby's Dream Collection: Special Edition" ], [ "Kirby's Epic Yarn" ], [ "Kirby's Return to Dreamland" ], [ "Kirby: Mass Attack" ], [ "Kirby: Triple Deluxe" ], [ "Kiss Bell" ], [ "Knack" ], [ "Knights Contract" ], [ "Knights Contract" ], [ "Knights in the Nightmare" ], [ "Kobitodzukan: Kobito Kansatsu Set" ], [ "Kobitodzukan: Kobito no Fushigi - Jikken Set" ], [ "Kochira Katsushikaku Kameari Kouenmae Hashutsujo: Machiteba Tengoku! Makereba Jigoku! Ryoutsuryuu Ikkakusenkin Daisakusen!" ], [ "Koi Sentai Love & Peace the P.S.P: Power Zenkai! Special Youso Tenkomori de Portable Ka Daisakusen de Aru!" ], [ "Koi to Senkyo to Chocolate Portable" ], [ "Koisuru Otome to Shugo no Tate Portable" ], [ "Kokoro Connect: Yochi Random" ], [ "Kokoro no Kokoron" ], [ "Kuma no Pooh-San: 100 Acre no Mori no Cooking Book" ], [ "Kuma-Tomo" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Rider" ], [ "Kung Zhu" ], [ "Kung-Fu: High Impact" ], [ "Kurohyou 2: Ryu ga Gotoku Ashura Hen" ], [ "Kurohyou: Ryu ga Gotoku Shinshou" ], [ "Kuroko's Basketball: Miracle Game" ], [ "Kuroko's Basketball: Miracle Game" ], [ "Kyokugen Dasshutsu ADV: Zennin Shiboudesu" ], [ "Kyokugen Dasshutsu ADV: Zennin Shiboudesu" ], [ "Kyoukai Senjou no Horizon Portable" ], [ "L.A. Noire" ], [ "L.A. Noire" ], [ "L.A. Noire: The Complete Edition" ], [ "L.G.S: Shinsetsu Houshinengi" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Battles: Ninjago" ], [ "LEGO City Undercover" ], [ "LEGO City Undercover" ], [ "LEGO Friends" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 5-7" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "Labyrinth Cross Blood: Infinity" ], [ "Lalaloopsy" ], [ "Lara Croft and the Temple of Osiris" ], [ "Lara Croft and the Temple of Osiris" ], [ "Last Escort: Club Katze" ], [ "Last Escort: Club Katze" ], [ "Last Ranker" ], [ "Last Rebellion" ], [ "Last Window: The Secret of Cape West" ], [ "Learn Science" ], [ "Learning to Spell" ], [ "Legasista" ], [ "Legend of Kay" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legends of Oz: Dorothy's Return" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Let's Cheer" ], [ "Let's Dance with Mel B" ], [ "Let's Dance with Mel B" ], [ "Let's Dance with Mel B" ], [ "Let's Paint" ], [ "Let's Play Ballerina" ], [ "Let's Play Ballerina" ], [ "Let's Play Flight Attendant" ], [ "Let's Play Garden" ], [ "Let's Play Garden" ], [ "Lightning Returns: Final Fantasy XIII" ], [ "Lightning Returns: Final Fantasy XIII" ], [ "Lilpri DS: Hime-Chen! Apple Pink" ], [ "Lips: I Love The 80s" ], [ "Lips: Party Classics" ], [ "Little Battlers eXperience W" ], [ "Little Battlers eXperience W" ], [ "Little Battlers eXperience W" ], [ "Little Battlers eXperience: Baku Boost" ], [ "Little Battlers eXperience: Wars" ], [ "Little Busters! Converted Edition" ], [ "Little Busters! Converted Edition" ], [ "Little Deviants" ], [ "Little League World Series Baseball 2010" ], [ "Little League World Series Baseball 2010" ], [ "Little League World Series Baseball: Double Play" ], [ "Little League World Series Baseball: Double Play" ], [ "LittleBigPlanet 2" ], [ "LittleBigPlanet 3" ], [ "LittleBigPlanet 3" ], [ "LittleBigPlanet Karting" ], [ "LittleBigPlanet PS Vita" ], [ "Littlest Pet Shop 3: Biggest Stars - Blue / Pink / Purple Team" ], [ "Living Legends: Frozen Beauty" ], [ "Livly Garden" ], [ "Lollipop Chainsaw" ], [ "Lollipop Chainsaw" ], [ "London 2012: The Official Video Game of the Olympic Games" ], [ "London 2012: The Official Video Game of the Olympic Games" ], [ "Lord of Apocalypse" ], [ "Lord of Apocalypse" ], [ "Lord of Arcana" ], [ "Lord of Magna: Maiden Heaven" ], [ "Lords of the Fallen" ], [ "Lords of the Fallen" ], [ "Lords of the Fallen" ], [ "Lost Dimension" ], [ "Lost Dimension" ], [ "Lost Heroes" ], [ "Lost Heroes" ], [ "Lost Horizon" ], [ "Lost Planet 2" ], [ "Lost Planet 2" ], [ "Lost Planet 2" ], [ "Lost Planet 3" ], [ "Lost Planet 3" ], [ "Lost Planet 3" ], [ "Lost in Shadow" ], [ "Love Live! School Idol Paradise" ], [ "Love Once: Mermaid's Tears" ], [ "Love Plus +" ], [ "Lovely Lisa and Friends" ], [ "Loving Life with Hello Kitty & Friends" ], [ "Lucha Libre AAA: Heroes del Ring" ], [ "Lucha Libre AAA: Heroes del Ring" ], [ "Lucian Bee's: Justice Yellow / Evil Violet" ], [ "Lufia: Curse of the Sinistrals" ], [ "Luigi's Mansion: Dark Moon" ], [ "Lumines: Electronic Symphony" ], [ "Lupin Sansei: Shijou Saidai no Zunousen" ], [ "MAG: Massive Action Game" ], [ "MLB 10: The Show" ], [ "MLB 10: The Show" ], [ "MLB 10: The Show" ], [ "MLB 11: The Show" ], [ "MLB 11: The Show" ], [ "MLB 11: The Show" ], [ "MLB 12: The Show" ], [ "MLB 12: The Show" ], [ "MLB 13: The Show" ], [ "MLB 13: The Show" ], [ "MLB 14: The Show" ], [ "MLB 14: The Show" ], [ "MLB 14: The Show" ], [ "MLB 2K12 / NBA 2K12 Combo Pack" ], [ "MX vs. ATV Supercross" ], [ "MX vs. ATV Supercross" ], [ "MX vs. ATV: Alive" ], [ "MX vs. ATV: Alive" ], [ "Machi-Ing Maker 3 x Tousouchuu" ], [ "Machi-ing Maker 4" ], [ "Macross 30: Ginga o Tsunagu Utagoe" ], [ "Macross Triangle Frontier" ], [ "Madden NFL 11" ], [ "Madden NFL 11" ], [ "Madden NFL 11" ], [ "Madden NFL 11" ], [ "Madden NFL 12" ], [ "Madden NFL 12" ], [ "Madden NFL 12" ], [ "Madden NFL 12" ], [ "Madden NFL 13" ], [ "Madden NFL 13" ], [ "Madden NFL 13" ], [ "Madden NFL 13" ], [ "Madden NFL 13" ], [ "Madden NFL 15" ], [ "Madden NFL 15" ], [ "Madden NFL 15" ], [ "Madden NFL 15" ], [ "Madden NFL 25" ], [ "Madden NFL 25" ], [ "Madden NFL 25" ], [ "Madden NFL 25" ], [ "Madden NFL Football" ], [ "Mafia II" ], [ "Mafia II" ], [ "Mafia II" ], [ "Magi: Aratanaru Sekai" ], [ "Magi: The Labyrinth of Beginning" ], [ "Magic Encyclopedia: Moonlight" ], [ "Magical ZhuZhu Princess: Carriages & Castles" ], [ "Magician's Quest: Town of Magic" ], [ "Magicka" ], [ "Magicka Collection" ], [ "Mahjong 300" ], [ "Mahjong 3D: Warriors of the Emperor" ], [ "Mahjong Cub3D" ], [ "Mahjongg Mysteries: Ancient Egypt" ], [ "Mahou Shoujo Lyrical Nanoha A's Portable: The Battle of Aces" ], [ "Mahou Shoujo Lyrical Nanoha A's Portable: The Gears of Destiny" ], [ "Mahouka Koukou no Rettousei: Out of Order" ], [ "Majesty 2 Collection" ], [ "Majin and the Forsaken Kingdom" ], [ "Majin and the Forsaken Kingdom" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K13" ], [ "Major League Baseball 2K13" ], [ "Makai Senki Disgaea 4: Fuuka & Desco-hen Hajime Mashita" ], [ "Makai Shin Trillion" ], [ "Making History: The Great War" ], [ "Making History: The Great War" ], [ "Mame Goma: Shiro to Kuro no Meikyuu" ], [ "Man vs. Wild" ], [ "Man vs. Wild" ], [ "Man vs. Wild" ], [ "MapleStory DS" ], [ "Marginal #4: Idol of Supernova" ], [ "Marines: Modern Urban Combat" ], [ "Mario & Luigi: Dream Team" ], [ "Mario & Sonic at the London 2012 Olympic Games" ], [ "Mario & Sonic at the London 2012 Olympic Games" ], [ "Mario & Sonic at the Sochi 2014 Olympic Winter Games" ], [ "Mario Golf: World Tour" ], [ "Mario Kart 7" ], [ "Mario Kart 8" ], [ "Mario Party 9" ], [ "Mario Party: Island Tour" ], [ "Mario Sports Mix" ], [ "Mario Tennis" ], [ "Mario Tennis Open" ], [ "Mario vs. Donkey Kong: Mini-Land Mayhem!" ], [ "Marriage Royale: Prism Story" ], [ "Martian Panic" ], [ "Marvel Avengers: Battle for Earth" ], [ "Marvel Avengers: Battle for Earth" ], [ "Marvel Super Hero Squad: Comic Combat" ], [ "Marvel Super Hero Squad: Comic Combat" ], [ "Marvel Super Hero Squad: Comic Combat" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Superheroes 3D: Grandmaster's Challenge" ], [ "Marvel vs. Capcom 3: Fate of Two Worlds" ], [ "Marvel vs. Capcom 3: Fate of Two Worlds" ], [ "Mashiro Iro Symphony: *mutsu-no-hana" ], [ "Mass Effect 2" ], [ "Mass Effect 2" ], [ "Mass Effect 2" ], [ "Mass Effect 3" ], [ "Mass Effect 3" ], [ "Mass Effect 3" ], [ "Mass Effect 3" ], [ "Mass Effect Trilogy" ], [ "Mass Effect Trilogy" ], [ "Mass Effect Trilogy" ], [ "Match 3 Madness" ], [ "Mathews Bowhunting" ], [ "Max & the Magic Marker" ], [ "Max & the Magic Marker" ], [ "Max Payne 3" ], [ "Max Payne 3" ], [ "Max Payne 3" ], [ "Maximum Racing: Crash Car Racer" ], [ "Maximum Racing: Drag & Stock Racer" ], [ "Maximum Racing: GP Classic Racing" ], [ "May's Mystery: Forbidden Memories" ], [ "Mayhem 3D" ], [ "Mayhem 3D" ], [ "McDROID" ], [ "McDROID" ], [ "Mechanic Escape" ], [ "Mechanic Master 2" ], [ "Medabots 8" ], [ "Medabots Dual: Kabuto / Kuwagata" ], [ "Medal of Honor" ], [ "Medal of Honor" ], [ "Medal of Honor" ], [ "Medal of Honor: Warfighter" ], [ "Medal of Honor: Warfighter" ], [ "Medal of Honor: Warfighter" ], [ "Medalot 7" ], [ "Medarot DS: Kabuto / Kuwagata Ver." ], [ "Medieval Moves: Deadmund's Quest" ], [ "Mega Man Zero Collection" ], [ "Mega Minis Volume 2" ], [ "Mega Minis Volume 3" ], [ "Megamind: Mega Team Unite" ], [ "Megamind: The Blue Defender" ], [ "Megamind: The Blue Defender" ], [ "Megamind: Ultimate Showdown" ], [ "Megamind: Ultimate Showdown" ], [ "Megpoid the Music#" ], [ "Meiji Toukyou Renka" ], [ "Meikyuu Cross Blood: Reloaded" ], [ "Meitantei Conan: Aoki Houseki no Rinbukyoku" ], [ "Memories Off: Yubikiri no Kikou" ], [ "Memories Off: Yubikiri no Kioku" ], [ "Men of War: Assault Squad" ], [ "Men of War: Vietnam" ], [ "Metal Fight Beyblade Portable: Chouzetsu Tensei Vulcan Horses" ], [ "Metal Fight Beyblade: Bakugami Susanoh Shuurai!" ], [ "Metal Fight Beyblade: Choujou Kessen! Big Bang Bladers" ], [ "Metal Gear Rising: Revengeance" ], [ "Metal Gear Rising: Revengeance" ], [ "Metal Gear Solid HD Edition" ], [ "Metal Gear Solid HD Edition" ], [ "Metal Gear Solid HD Edition" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid: Peace Walker" ], [ "Metal Gear Solid: Peace Walker HD Edition" ], [ "Metal Gear Solid: Snake Eater 3D" ], [ "Metal Gear Solid: The Legacy Collection" ], [ "Metal Max 2 Reloaded" ], [ "Metal Max 3" ], [ "Metal Max 4: Gekkou no Diva" ], [ "Metro 2033" ], [ "Metro 2033" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Metroid: Other M" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience 3D" ], [ "Michael Phelps: Push the Limit" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Midnight Mysteries: The Edgar Allan Poe Conspiracy" ], [ "Might & Magic Heroes VI" ], [ "Might & Magic X: Legacy" ], [ "Mind Zero" ], [ "Mind over Matter" ], [ "MindJack" ], [ "MindJack" ], [ "Minds and Mystery: 5 Game Pack" ], [ "Minecraft" ], [ "Minecraft" ], [ "Minecraft" ], [ "Minecraft" ], [ "Minecraft" ], [ "Minna no Conveni" ], [ "Minna no Ennichi" ], [ "Minna to Issho" ], [ "Minna to Kimi no Piramekino!" ], [ "Minute to Win It" ], [ "Minute to Win It" ], [ "Minute to Win It" ], [ "Misshitsu no Sacrifice" ], [ "Miyako" ], [ "Miyako: Awayuki no Utage" ], [ "Mobile Suit Gundam Age: Universe Accel / Cosmic Drive" ], [ "Mobile Suit Gundam Side Story: Missing Link" ], [ "Mobile Suit Gundam: Extreme VS Full Boost" ], [ "Mobile Suit Gundam: Mokuba no Kiseki" ], [ "ModNation Racers" ], [ "ModNation Racers" ], [ "Model * Oshare Audition: Dream Girl" ], [ "Modnation Racers: Road Trip" ], [ "Moe Moe 2-Ji Daisenryaku 2" ], [ "Momotarou Dentetsu Tag Match: Yuujou - Doryoku - Shouri no Maki!" ], [ "Momotarou Dentetsu World" ], [ "Momu-chan Diet Wii: Figurobics by Chon Dayon" ], [ "MonHun Nikki: Poka Poka Ailu Mura" ], [ "MonHun Nikki: Poka Poka Ailu Mura G" ], [ "Monkey Island: Special Edition Collection" ], [ "Monkey Island: Special Edition Collection" ], [ "Monkey Island: Special Edition Collection" ], [ "Monkey Madness: Island Escape" ], [ "Monopoly" ], [ "Monopoly Collection" ], [ "Monopoly Streets" ], [ "Monopoly Streets" ], [ "Monopoly Streets" ], [ "Monster High 13 Wishes" ], [ "Monster High 13 Wishes" ], [ "Monster High: Ghoul Spirit" ], [ "Monster High: Ghoul Spirit" ], [ "Monster Hunter 4" ], [ "Monster Hunter 4 Ultimate" ], [ "Monster Hunter Freedom 2" ], [ "Monster Hunter Freedom 3" ], [ "Monster Hunter Frontier Online" ], [ "Monster Hunter Frontier Online: Forward 1" ], [ "Monster Hunter Frontier Online: Forward 2" ], [ "Monster Hunter Frontier Online: Season 10" ], [ "Monster Hunter Frontier Online: Season 9.0" ], [ "Monster Hunter Tri" ], [ "Monster Hunter Tri" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Tale" ], [ "MorphX" ], [ "Mortal Kombat" ], [ "Mortal Kombat" ], [ "Mortal Kombat" ], [ "Moshi Monsters: Katsuma Unleashed" ], [ "Moshi Monsters: Katsuma Unleashed" ], [ "Moshi Monsters: Moshling Zoo" ], [ "Moshi Monsters: Moshlings Theme Park" ], [ "Moshi Monsters: Moshlings Theme Park" ], [ "Mother Goose no Himitsu no Yakata" ], [ "Motion Explosion!" ], [ "MotionSports" ], [ "MotionSports: Adrenaline" ], [ "MotionSports: Adrenaline" ], [ "MotoGP 09/10" ], [ "MotoGP 09/10" ], [ "MotoGP 10/11" ], [ "MotoGP 10/11" ], [ "MotoGP 14 " ], [ "MotoGP 14 " ], [ "MotoGP 14 " ], [ "MotoGP 14 " ], [ "MotorStorm RC" ], [ "MotorStorm: Apocalypse" ], [ "Motto NUGA-CEL!" ], [ "Motto! SoniComi" ], [ "Motto! Stitch! DS Rhythm de Rakugaki Daisakusen" ], [ "Moujuutsukai to Oujisama" ], [ "Moujuutsukai to Oujisama Portable" ], [ "Moujuutsukai to Oujisama: Snow Bride" ], [ "Moujuutsukai to Oujisama: Snow Bride Portable" ], [ "Mount & Blade Collection" ], [ "Mount & Blade: Warband" ], [ "Moxie Girlz" ], [ "Muchi Muchi Pork & Pink Sweets" ], [ "Mugen Souls" ], [ "Mugen Souls Z" ], [ "Mugen no Frontier: Super Robot Taisen OG Saga EXCEED" ], [ "Muramasa: The Demon Blade" ], [ "Murder in Venice" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Mushi Bugyou" ], [ "Mushihimesama" ], [ "Muv-Luv Alternative" ], [ "Muv-Luv Alternative: Total Eclipse" ], [ "My Amusement Park" ], [ "My Baby 3 & Friends" ], [ "My First Dollhouse" ], [ "My First Songs" ], [ "My Fitness Coach: Club" ], [ "My Fitness Coach: Club" ], [ "My Little Sister Can't Be This Cute Portable" ], [ "My Pet Chimp" ], [ "MySims Collection" ], [ "MySims SkyHeroes" ], [ "MySims SkyHeroes" ], [ "MySims SkyHeroes" ], [ "MySims SkyHeroes" ], [ "Mystery Case Files: The Malgrave Incident" ], [ "Mystery Legends: Beauty and the Beast" ], [ "Mystery Stories: Curse of the Ancient Spirits" ], [ "Mystery Tales 2: The Spirit Mask" ], [ "Mystery Tales of Time Travel" ], [ "Mystery Trackers: The Void" ], [ "N3 II: Ninety-Nine Nights" ], [ "NASCAR '14" ], [ "NASCAR '14" ], [ "NASCAR 2011: The Game" ], [ "NASCAR 2011: The Game" ], [ "NASCAR 2011: The Game" ], [ "NASCAR The Game: Inside Line" ], [ "NASCAR The Game: Inside Line" ], [ "NASCAR Unleashed" ], [ "NASCAR Unleashed" ], [ "NASCAR Unleashed" ], [ "NASCAR Unleashed" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K12" ], [ "NBA 2K12" ], [ "NBA 2K12" ], [ "NBA 2K12" ], [ "NBA 2K12" ], [ "NBA 2K13" ], [ "NBA 2K13" ], [ "NBA 2K13" ], [ "NBA 2K13" ], [ "NBA 2K13" ], [ "NBA 2K14" ], [ "NBA 2K14" ], [ "NBA 2K14" ], [ "NBA 2K14" ], [ "NBA 2K15" ], [ "NBA 2K15" ], [ "NBA 2K15" ], [ "NBA 2K15" ], [ "NBA Jam" ], [ "NBA Jam" ], [ "NBA Jam" ], [ "NBA Live 14" ], [ "NBA Live 14" ], [ "NBA Live 15" ], [ "NBA Live 15" ], [ "NCAA Football 11" ], [ "NCAA Football 11" ], [ "NCAA Football 11" ], [ "NCAA Football 12" ], [ "NCAA Football 12" ], [ "NCAA Football 13" ], [ "NCAA Football 13" ], [ "NCAA Football 14" ], [ "NCAA Football 14" ], [ "NCIS" ], [ "NCIS" ], [ "NCIS" ], [ "NCIS" ], [ "NCIS 3D" ], [ "NERF N-Strike: Double Blast Bundle" ], [ "NES Remix" ], [ "NHL 11" ], [ "NHL 11" ], [ "NHL 12" ], [ "NHL 12" ], [ "NHL 13" ], [ "NHL 13" ], [ "NHL 14" ], [ "NHL 14" ], [ "NHL 15" ], [ "NHL 15" ], [ "NHL 15" ], [ "NHL 15" ], [ "NHL 2K11" ], [ "Namco Museum Megamix" ], [ "Nancy Drew: Alibi In Ashes" ], [ "Nancy Drew: The Model Mysteries" ], [ "Nano Assault" ], [ "Nano Diver" ], [ "Napoleon: Total War" ], [ "Narcissus: Moshimo Ashita ga Runara" ], [ "Naruto Shippuden 3D: The New Era" ], [ "Naruto Shippuden: Gekito Ninja Taisen! Special" ], [ "Naruto Shippuden: Kizuna Drive" ], [ "Naruto Shippuden: Shinobi Rumble" ], [ "Naruto Shippuden: Ultimate Ninja Impact" ], [ "Naruto Shippuden: Ultimate Ninja Storm 2" ], [ "Naruto Shippuden: Ultimate Ninja Storm 2" ], [ "Naruto Shippuden: Ultimate Ninja Storm 3" ], [ "Naruto Shippuden: Ultimate Ninja Storm 3" ], [ "Naruto Shippuden: Ultimate Ninja Storm Generations" ], [ "Naruto Shippuden: Ultimate Ninja Storm Generations" ], [ "Naruto Shippuden: Ultimate Ninja Storm Revolution" ], [ "Naruto Shippuden: Ultimate Ninja Storm Revolution" ], [ "Naruto: Powerful Shippuden" ], [ "NatGeo Challenge! Wild Life" ], [ "NatGeo Challenge! Wild Life" ], [ "NatGeo Challenge! Wild Life" ], [ "Natalie Brooks: Mystery at Hillcrest High" ], [ "National Geographic Challenge!" ], [ "National Geographic Challenge!" ], [ "Natsuzora no Monologue" ], [ "Natural Doctrine" ], [ "Natural Doctrine" ], [ "Natural Doctrine" ], [ "Naughty Bear" ], [ "Naughty Bear" ], [ "Naval Assault: The Killing Tide" ], [ "Nayuta no Kiseki" ], [ "Nazo Waku Yakata: Oto no Ma ni Ma ni" ], [ "Nazotoki Battle Tore! Densetsu no Makyuu o Fukkatsu Saseyo! " ], [ "Need for Speed Rivals" ], [ "Need for Speed Rivals" ], [ "Need for Speed Rivals" ], [ "Need for Speed Rivals" ], [ "Need for Speed Rivals" ], [ "Need for Speed: Hot Pursuit" ], [ "Need for Speed: Hot Pursuit" ], [ "Need for Speed: Hot Pursuit" ], [ "Need for Speed: Hot Pursuit" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Shift 2 Unleashed" ], [ "Need for Speed: Shift 2 Unleashed" ], [ "Need for Speed: Shift 2 Unleashed" ], [ "Need for Speed: The Run" ], [ "Need for Speed: The Run" ], [ "Need for Speed: The Run" ], [ "Need for Speed: The Run" ], [ "Need for Speed: The Run" ], [ "Nekketsu Kouha Kunio-Kun SP: Rantou Kyousoukyoku" ], [ "Nendoroid Generation" ], [ "Nettou! Powerful Koushien" ], [ "NeverDead" ], [ "NeverDead" ], [ "New Carnival Games" ], [ "New Carnival Games" ], [ "New Love Plus" ], [ "New Super Luigi U" ], [ "New Super Mario Bros. 2" ], [ "New Super Mario Bros. U" ], [ "NewU Fitness First Mind Body, Yoga & Pilates Workout" ], [ "Ni no Kuni: Wrath of the White Witch" ], [ "Nickelodeon Dance" ], [ "Nickelodeon Dance" ], [ "Nickelodeon Fit" ], [ "Nickelodeon Team Umizoomi" ], [ "Nicktoons: MLB" ], [ "Nicktoons: MLB" ], [ "Nicktoons: MLB" ], [ "Nicola Kanshuu: Model * Oshare Audition" ], [ "Nicola Kanshuu: Model * Oshare Audition 2" ], [ "Nicola Kanshuu: Model Oshare * Audition Platina" ], [ "NieR" ], [ "NieR" ], [ "Nike+ Kinect Training" ], [ "Nikoli's Pencil Puzzle" ], [ "Ninja Gaiden 3" ], [ "Ninja Gaiden 3" ], [ "Ninja Gaiden 3" ], [ "Ninja Gaiden Sigma" ], [ "Ninja Gaiden Sigma 2" ], [ "Ninokuni: Shikkoku no Madoushi" ], [ "Nintendo Land" ], [ "Nintendogs + cats" ], [ "Nintendogs and Cats Golden Retriever and New Friends" ], [ "Nisekoi: Yomeiri!?" ], [ "Nisenochigiri" ], [ "Nisenochigiri: Omoide no Saki e" ], [ "No Fate! Only the Power of Will" ], [ "No More Heroes 2: Desperate Struggle" ], [ "No More Heroes: Heroes' Paradise" ], [ "No More Heroes: Heroes' Paradise" ], [ "No More Heroes: Red Zone" ], [ "Nobunaga no Yabou Online: Houou no Shou" ], [ "Nobunaga no Yabou: Soutensoku with Power-Up Kit" ], [ "Nobunaga no Yabou: Souzou" ], [ "Nobunaga no Yabou: Souzou" ], [ "Nobunaga no Yabou: Tendou" ], [ "Nobunaga no Yabou: Tendou with Power-Up Kit" ], [ "Nobunaga's Ambition (3DS)" ], [ "Nobunaga's Ambition: Sphere of Influence" ], [ "Nobunaga's Ambition: Sphere of Influence" ], [ "Nodame Cantabile: Tanoshii Ongaku no Jikan Desu" ], [ "Noddy in Toyland" ], [ "Nora to Koku no Koubou: Kiri no Mori no Majo" ], [ "Norn9: Norn + Nonette" ], [ "North American Hunting Extravaganza 2" ], [ "Now! That's What I Call Music: Dance & Sing" ], [ "Nurarihyon no Mago: Hyakki Ryouran Taisen" ], [ "Nyaruko-San: Nafushigatai Game no You na Mono" ], [ "OK! Puzzle Stars" ], [ "Odoru Daisousasen The Game: Sensuikan ni Sennyuu Seyo!" ], [ "Off-Road Drive" ], [ "Oil Rush" ], [ "Okami" ], [ "OkamiDen" ], [ "Okashi na Shima no Peter Pan: Sweet Never Land" ], [ "Omega Quintet" ], [ "Omerta: City of Gangsters" ], [ "Omerta: City of Gangsters" ], [ "One Piece Unlimited Cruise SP" ], [ "One Piece: Gigant Battle 2 Shin Sekai" ], [ "One Piece: Gigant Battle!" ], [ "One Piece: Pirate Warriors" ], [ "One Piece: Pirate Warriors 2" ], [ "One Piece: Pirate Warriors 2" ], [ "One Piece: Romance Dawn - Bouken no Yoake" ], [ "One Piece: Romance Dawn - Bouken no Yoake" ], [ "One Piece: Super Grand Battle! X" ], [ "One Piece: Unlimited World Red" ], [ "One Piece: Unlimited World Red" ], [ "One Piece: Unlimited World Red" ], [ "One Piece: Unlimited World Red" ], [ "Onechanbara Special" ], [ "Onechanbara Z Kagura" ], [ "Onechanbara Z Kagura" ], [ "Onechanbara Z2: Chaos" ], [ "Onigokko! Portable" ], [ "Onna no Ko to Misshitsu ni Itara **shichau Kamoshirenai" ], [ "Operation Abyss: New Tokyo Legacy" ], [ "Operation Flashpoint: Red River" ], [ "Operation Flashpoint: Red River" ], [ "Operation Flashpoint: Red River" ], [ "Order Up!!" ], [ "Order Up!!" ], [ "Ore no Imouto ga Konna ni Kawaii Wake ga Nai Happy EnD" ], [ "Ore no Imouto ga Konna ni Kawaii wake ga Nai Portable" ], [ "Ore no Shikabane o Koete Yuke" ], [ "Ore no Yome: Anata Dake no Hanayome" ], [ "Ore wa Shoujo Mangaka" ], [ "Ore-Sama Kingdom: Koi no Manga mo Debut o Mokushise! Doki Doki Love Lesson" ], [ "Oreshika: Tainted Bloodlines" ], [ "Original Story from Fairy Tail: Gekitotsu! Kardia Daiseidou" ], [ "Otome wa Oanesama Boku ni Koi Shiteru Portable" ], [ "Otome wa Oanesama ni Koi Shiteru Portable: 2-Jin no Elder" ], [ "Otometeki Koi Kakumei * Love Revo! Portable" ], [ "Otona no Renai Shousetsu: Harlequin Selection" ], [ "Ou to Maou to 7-nin no Himegimitachi: Shin Ousama Monogatari" ], [ "Ouchi Mainichi Tamagotchi" ], [ "Ouka Sengoku Portable" ], [ "Oumagatoki: Kaidan Romance" ], [ "Outdoors Unleashed: Africa 3D" ], [ "Outdoors Unleashed: Alaska 3D" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PDC World Championship Darts: Pro Tour" ], [ "PDC World Championship Darts: Pro Tour" ], [ "PDC World Championship Darts: Pro Tour" ], [ "Pac-Man & Galaga Dimensions" ], [ "Pac-Man All-Stars" ], [ "Pac-Man Party" ], [ "Pac-Man Party 3D" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pachi-Slot Higrashi no Naku Koro ni Matsuri" ], [ "PachiPara 15: Super Umi Monogatari in Okinawa 2" ], [ "PachiPara 3D" ], [ "PachiPara 3D: Ooumi Monogatari 2 - Pachi Pro Fuuunroku Hana" ], [ "Pachitte Chonmage Tatsujin 16: Pachinko Hissatsu Shigotojin III" ], [ "Painkiller: Hell & Damnation" ], [ "Painkiller: Hell & Damnation" ], [ "Pandora's Tower" ], [ "Paper Mario: Sticker Star" ], [ "Pastel Chime Continue" ], [ "Patapon 3" ], [ "Patrician IV" ], [ "Paws & Claws: Marine Rescue" ], [ "Paws & Claws: Pampered Pets 2" ], [ "Paws & Claws: Regal Resort" ], [ "Payday 2" ], [ "Payday 2" ], [ "Payday 2" ], [ "Pe-Jongju to Manabu Kankokugo DS: Test-Hen" ], [ "Penguin no Mondai: The World" ], [ "Penguins of Madagascar" ], [ "Penguins of Madagascar" ], [ "Penguins of Madagascar" ], [ "Peppa Pig: Fun and Games" ], [ "Peppa Pig: Fun and Games" ], [ "Peppa Pig: Theme Park Fun" ], [ "Percy Jackson and the Olympians: The Lightning Thief" ], [ "Persona 2: Eternal Punishment" ], [ "Persona 4: Arena" ], [ "Persona 4: Arena" ], [ "Persona 4: Arena Ultimax" ], [ "Persona 4: Arena Ultimax" ], [ "Persona 4: Golden" ], [ "Persona Q: Shadow of the Labyrinth" ], [ "Pet Pals: New Leash on Life" ], [ "Pet Shop Monogatari DS 2" ], [ "Petz Bunnyz Bunch" ], [ "Petz Fantasy 3D" ], [ "Petz Fantasy: Moonlight Magic" ], [ "Petz Fantasy: Sunshine Magic" ], [ "Petz Puppyz & Kittenz" ], [ "Petz: Catz Playground" ], [ "Phantasy Star Nova" ], [ "Phantasy Star Online 2" ], [ "Phantasy Star Portable 2: Infinity" ], [ "Phantom Brave: The Hermuda Triangle" ], [ "Phantom Breaker" ], [ "Phantom Kingdom Portable" ], [ "Pheasants Forever Wingshooter" ], [ "Phineas and Ferb Ride Again" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "Phoenix Wright: Ace Attorney - Dual Destinies" ], [ "Phoenix Wright: Ace Attorney Trilogy" ], [ "PhotoKano" ], [ "PhotoKano" ], [ "Pictionary" ], [ "Pictionary" ], [ "Pictionary: Ultimate Edition" ], [ "Pictionary: Ultimate Edition" ], [ "Pikmin 3" ], [ "Pillars of Eternity" ], [ "Pillow Pets" ], [ "PilotWings Resort" ], [ "Pinball Hall of Fame: The Williams Collection" ], [ "Pinkalicious" ], [ "Pirates PlundArrr" ], [ "PixelJunk Monsters Deluxe" ], [ "Pizza Delivery Boy" ], [ "Plants vs. Zombies" ], [ "Plants vs. Zombies" ], [ "Plants vs. Zombies" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "PlayStation All-Stars Battle Royale" ], [ "PlayStation All-Stars Battle Royale" ], [ "PlayStation Move Heroes" ], [ "Playmobil Top Agents" ], [ "Pocket Soccer League: Calciobit" ], [ "PokePark 2: Wonders Beyond" ], [ "Pokemon Art Academy " ], [ "Pokemon Black 2/Pokemon White 2" ], [ "Pokemon Black/Pokemon White" ], [ "Pokemon Conquest" ], [ "Pokemon Mystery Dungeon: Gates to Infinity" ], [ "Pokemon Omega Ruby/Pokemon Alpha Sapphire" ], [ "Pokemon Ranger: Guardian Signs" ], [ "Pokemon Rumble Blast" ], [ "Pokemon X/Pokemon Y" ], [ "Pop'n Music Portable" ], [ "Pop'n Music Portable 2" ], [ "PopCap Hits!" ], [ "PopCap Hits! Vol 2" ], [ "Portal 2" ], [ "Portal 2" ], [ "Portal 2" ], [ "Poupee Girl DS 2: Elegant Mint / Sweet Pink Style" ], [ "Power Gig: Rise of the SixString" ], [ "Power Gig: Rise of the SixString" ], [ "Power Pro Kun Pocket 13" ], [ "Power Pro Kun Pocket 14" ], [ "Power Pro Success Legends" ], [ "Power Rangers Samurai" ], [ "Power Rangers Samurai" ], [ "Power Rangers Super Megaforce " ], [ "PowerUp Heroes" ], [ "Powerful Golf" ], [ "Poyo Poyo Kansatsu Nikki" ], [ "Pretty Cure All Stars Everyone Gather ? Let's Dance!" ], [ "Pretty Rhythm Rainbow Live: Kira Kira My * Design" ], [ "Pretty Rhythm: My Deco Rainbow Wedding" ], [ "Prince of Persia Trilogy" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Princess Arthur" ], [ "Princess Frontier Portable" ], [ "Princess Isabella: A Witch's Curse" ], [ "Princess Isabella: A Witch's Curse" ], [ "Princess Saver! Eternal Love for My Lady" ], [ "Prinny 2: Dawn of Operation Panties, Dood!" ], [ "Prison Break: The Conspiracy" ], [ "Prison Break: The Conspiracy" ], [ "Pro Angler Moves" ], [ "Pro Evolution Soccer 2011 3D" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Farm 1" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2014" ], [ "Pro Yaky? Spirits 2014" ], [ "Pro Yaky? Spirits 2014" ], [ "Pro Yakyuu Famista 2011" ], [ "Pro Yakyuu Famista DS 2010" ], [ "Professor Layton and the Azran Legacy" ], [ "Professor Layton and the Mask of Miracle" ], [ "Professor Layton vs Phoenix Wright: Ace Attorney" ], [ "Project Runway" ], [ "Project Spark" ], [ "Project X Zone" ], [ "Psycho-Pass" ], [ "Pucca Power Up" ], [ "Puella Magi Madoka Magica Portable" ], [ "Puppet Show 3: Lost Town" ], [ "Puppeteer" ], [ "Puppies 3D" ], [ "Pure Futbol" ], [ "Pure Futbol" ], [ "Puss in Boots" ], [ "Puss in Boots" ], [ "Puss in Boots" ], [ "Puss in Boots" ], [ "Putty Squad" ], [ "Putty Squad" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo!! 20th Anniversary" ], [ "Puyo Puyo!! 20th Anniversary" ], [ "Puzzle & Dragons" ], [ "Puzzle Chronicles" ], [ "Puzzle Quest 2" ], [ "Puzzler Brain Games" ], [ "Puzzler Mind Gym 3D" ], [ "Puzzler World 2" ], [ "QUIZ PARTY" ], [ "Quantum Theory" ], [ "Quantum Theory" ], [ "Queen's Gate: Spiral Chaos" ], [ "Quiz Magic Academy DS: Futatsu no Jikuu Koku" ], [ "Quiz Present Variety Q-Sama!! DS: Pressure Study x Atama Gai Kunaru Drill SP" ], [ "Quiz! Hexagon II" ], [ "R.U.S.E." ], [ "R.U.S.E." ], [ "R.U.S.E." ], [ "RIFT" ], [ "RPG Tsukuru DS" ], [ "Rabbids Invasion: The Interactive TV Show" ], [ "Rabbids Invasion: The Interactive TV Show" ], [ "Rabbids Land" ], [ "Rabbids Party Collection" ], [ "Rabbids: Alive & Kicking" ], [ "Racquet Sports" ], [ "Racquet Sports" ], [ "Radiant Historia" ], [ "Rage" ], [ "Rage" ], [ "Rage" ], [ "Ragnarok Odyssey" ], [ "Ragnarok Odyssey" ], [ "Ragnarok: Hikari to Yami no Koujo" ], [ "Rain (2013)" ], [ "Rango: The Video Game" ], [ "Rango: The Video Game" ], [ "Rango: The Video Game" ], [ "Rango: The Video Game" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala for Kinect" ], [ "Ratchet & Clank Collection" ], [ "Ratchet & Clank Collection" ], [ "Ratchet & Clank: All 4 One" ], [ "Ratchet & Clank: Full Frontal Assault" ], [ "Ratchet & Clank: Into the Nexus" ], [ "Raving Rabbids: Travel in Time" ], [ "Raving Rabbids: Travel in Time 3D" ], [ "Rayman 3D" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Reader Rabbit 1st Grade" ], [ "Reader Rabbit Kindergarten" ], [ "Real Crimes: The Unicorn Killer" ], [ "Reality Fighters" ], [ "Rec Room Games" ], [ "Record of Agarest War 2" ], [ "Record of Agarest War Zero" ], [ "Record of Agarest War: Marriage" ], [ "Red Dead Redemption" ], [ "Red Dead Redemption" ], [ "Red Dead Redemption: Undead Nightmare" ], [ "Red Dead Redemption: Undead Nightmare" ], [ "Red Faction: Armageddon" ], [ "Red Faction: Armageddon" ], [ "Red Faction: Armageddon" ], [ "Red Orchestra 2: Heroes of Stalingrad" ], [ "Red Steel 2" ], [ "Red Stone DS: Akaki Ishi ni Michibikareshi Monotachi" ], [ "Reel Fishing Paradise 3D" ], [ "Reload: Target Down" ], [ "Remember Me" ], [ "Remember Me" ], [ "Remember Me" ], [ "Remington Super Slam Hunting: Africa" ], [ "Remington Super Slam Hunting: Alaska" ], [ "Remington Super Slam Hunting: North America" ], [ "Renai 0 Kilometer" ], [ "Renai Banchou: Inochi Meishi, Koiseyo Otome! Love is Power!!!" ], [ "Resident Evil 6" ], [ "Resident Evil 6" ], [ "Resident Evil 6" ], [ "Resident Evil Chronicles HD" ], [ "Resident Evil: Operation Raccoon City" ], [ "Resident Evil: Operation Raccoon City" ], [ "Resident Evil: Operation Raccoon City" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: The Mercenaries 3D" ], [ "Resistance 3" ], [ "Resistance Dual Pack" ], [ "Resistance: Burning Skies" ], [ "Resonance of Fate" ], [ "Resonance of Fate" ], [ "Rewrite" ], [ "Rhythm Thief & the Emperor's Treasure" ], [ "Ride to Hell" ], [ "Ride to Hell" ], [ "Ridge Racer" ], [ "Ridge Racer 3D" ], [ "Ridge Racer Unbounded" ], [ "Ridge Racer Unbounded" ], [ "Ridge Racer Unbounded" ], [ "Riding Stables: The Whitakers present Milton and Friends" ], [ "Rinne no Lagrange: Kamogawa Days" ], [ "Rio" ], [ "Rio" ], [ "Rio" ], [ "Rio" ], [ "Rise of Flight: Iron Cross Edition" ], [ "Rise of Nightmares" ], [ "Risen 2: Dark Waters" ], [ "Risen 2: Dark Waters" ], [ "Risen 2: Dark Waters" ], [ "Risen 3: Titan Lords" ], [ "Risen 3: Titan Lords" ], [ "Risen 3: Titan Lords" ], [ "River City Soccer Hooligans" ], [ "River City Super Sports Challenge" ], [ "Ro-Kyu-Bu!" ], [ "Ro-Kyu-Bu! Lost Secret" ], [ "Ro-Kyu-Bu! Secret Photo Op" ], [ "Robotics;Notes" ], [ "Robotics;Notes" ], [ "Robotics;Notes" ], [ "Rock Band 3" ], [ "Rock Band 3" ], [ "Rock Band 3" ], [ "Rock Band 3" ], [ "Rock Band Country Track Pack 2" ], [ "Rock Band Country Track Pack 2" ], [ "Rock Band Country Track Pack 2" ], [ "Rock Blast" ], [ "Rock of the Dead" ], [ "Rock of the Dead" ], [ "Rocksmith" ], [ "Rocksmith" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Romance of the Three Kingdoms (3DS)" ], [ "Romance of the Three Kingdoms XII" ], [ "Romance of the Three Kingdoms XII" ], [ "Romeo Vs. Juliet" ], [ "Rooms: The Main Building" ], [ "Rooms: The Main Building" ], [ "Root Double: Before Crime After Days" ], [ "Rudolph the Red-Nosed Reindeer" ], [ "Rudolph the Red-Nosed Reindeer" ], [ "Rugby League 3" ], [ "Rugby League Live" ], [ "Rugby League Live" ], [ "Rugby World Cup 2011" ], [ "Rugby World Cup 2011" ], [ "Rune Factory 4" ], [ "Rune Factory: Tides of Destiny" ], [ "Rune Factory: Tides of Destiny" ], [ "Rurouni Kenshin: Meiji Kenkaku Romantan Saisen" ], [ "Rurouni Kenshin: Meiji Kenyaku Romantan - Kansen" ], [ "Ryse: Son of Rome" ], [ "S.Y.K Renshouden" ], [ "S.Y.K Renshouden Portable" ], [ "S.Y.K: Shinsetsu Saiyuuki Portable" ], [ "SBK 2011: FIM Superbike World Championship" ], [ "SBK 2011: FIM Superbike World Championship" ], [ "SBK 2011: FIM Superbike World Championship" ], [ "SBK X: Superbike World Championship" ], [ "SBK X: Superbike World Championship" ], [ "SD Gundam G Generation 3D" ], [ "SD Gundam G Generation World" ], [ "SD Gundam G Generation World" ], [ "SD Gundam G Generation: Overworld" ], [ "SD Gundam Sangokuden Brave Battle Warriors: Shin Mirisha Taisen" ], [ "SD Gundam: Gashapon Wars" ], [ "SOCOM 4: U.S. Navy SEALs" ], [ "SOCOM: U.S. Navy SEALs Fireteam Bravo 3" ], [ "SSX" ], [ "SSX" ], [ "STORM: Frontline Nation" ], [ "SaGa 3: Jikuu no Hasha - Shadow or Light" ], [ "Sacra Terra: Angelic Night" ], [ "Sacred 3" ], [ "Sacred 3" ], [ "Sacred 3" ], [ "Saigo no Yakusoku no Monogatari" ], [ "Saint Seiya Omega: Ultimate Cosmo" ], [ "Saint Seiya: Brave Soldiers" ], [ "Saint Seiya: Sanctuary Battle" ], [ "Saints Row IV" ], [ "Saints Row IV" ], [ "Saints Row IV" ], [ "Saints Row: The Third" ], [ "Saints Row: The Third" ], [ "Saints Row: The Third" ], [ "Saka Agari Hurricane Portable" ], [ "Saki Portable" ], [ "Saki: Achiga-Hen Portable" ], [ "Sakigake!! Otokojuku - Nihon yo, Kore ga Otoko Dearu!" ], [ "Sakura Sakura: Haru Urara" ], [ "Sakura Wars: So Long, My Love" ], [ "Sakura-Sou no Pet na Kanojo" ], [ "Sakura-Sou no Pet na Kanojo" ], [ "Sam & Max: Beyond Time and Space" ], [ "Samantha Swift and the Hidden Roses of Athena" ], [ "Samurai & Dragons" ], [ "Samurai Warriors 2" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors Chronicles" ], [ "Samurai Warriors Chronicles 2nd" ], [ "Samurai Warriors Chronicles 3" ], [ "Samurai Warriors Chronicles 3" ], [ "San Goku Shi DS 3" ], [ "Sangoku Koi Senki: Otome no Heihou!" ], [ "Sangoku Koi Senki: Otome no Heihou!" ], [ "Santa Claus Is Comin' to Town!" ], [ "Santa Claus Is Comin' to Town!" ], [ "Satisfashion" ], [ "Satisfashion" ], [ "Satomi Hakkenden: Hachi Tamanoki" ], [ "Saw II: Flesh & Blood" ], [ "Saw II: Flesh & Blood" ], [ "Scared Rider Xechs" ], [ "Scene It? Twilight" ], [ "Schlag den Raab" ], [ "Schlag den Raab" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Scribblenauts Unmasked: A DC Comics Adventure" ], [ "Scribblenauts Unmasked: A DC Comics Adventure" ], [ "Scribblenauts: Unlimited" ], [ "Scribblenauts: Unlimited" ], [ "Scripps Spelling Bee" ], [ "Sea Park Tycoon" ], [ "Secret Game Portable" ], [ "Secrets of the Titanic" ], [ "Seinaru Kana: Orichalcum no Na no Motoni" ], [ "Seisou no Amazones" ], [ "Seitokai no Ichizon: DS-suru Seitokai" ], [ "Sekai no Hate Made Itte Q! Chinjuu Hunter Mono no Daibouken" ], [ "Self-Defense Training Camp" ], [ "Sengoku" ], [ "Sengoku Basara 3 Utage" ], [ "Sengoku Basara 3 Utage" ], [ "Sengoku Basara 4" ], [ "Sengoku Basara: Chronicle Heroes" ], [ "Sengoku Basara: Samurai Heroes" ], [ "Sengoku Basara: Samurai Heroes" ], [ "Sengoku Efuda Yuugi: Hototogisu Tairan" ], [ "Sengoku Hime 2 Arashi: Hyakubana Senran Tatsukaze no Gotoku" ], [ "Sengoku Musou 3 Empires" ], [ "Sengoku Musou 3 Z" ], [ "Sengoku Musou 3 Z Special" ], [ "Sengoku Musou 3: Moushouden " ], [ "Senjou no Waltz" ], [ "Senko no Ronde DUO" ], [ "Senran Kagura 2: Deep Crimson " ], [ "Senran Kagura Burst: Guren no Sh?jo-tachi" ], [ "Senran Kagura Shinovi Versus: Sh?jo-tachi no Sh?mei" ], [ "Senran Kagura: Bon Appétit!" ], [ "Senran Kagura: Sh?jo-tachi no Shinei" ], [ "Senritsu no Stratus" ], [ "Sentouchu: Densetsu no Shinobi to Survival Battle!" ], [ "Serious Sam 3: BFE" ], [ "Serious Sam HD: Gold Edition" ], [ "Serious Sam HD: Gold Edition" ], [ "Sesame Street: Cookie's Counting Carnival" ], [ "Sesame Street: Cookie's Counting Carnival" ], [ "Sesame Street: Cookie's Counting Carnival" ], [ "Sesame Street: Elmo's A-to-Zoo Adventure" ], [ "Sesame Street: Elmo's A-to-Zoo Adventure" ], [ "Sesame Street: Elmo's A-to-Zoo Adventure" ], [ "Sesame Street: Once Upon A Monster" ], [ "Sesame Street: Ready, Set, Grover!" ], [ "Sesame Street: Ready, Set, Grover!" ], [ "Shadow of the Colossus" ], [ "Shadows of the Damned" ], [ "Shadows of the Damned" ], [ "Shape Up" ], [ "Sharin no Kuni, Himawari no Shoujo" ], [ "Shaun White Skateboarding" ], [ "Shaun White Skateboarding" ], [ "Shaun White Skateboarding" ], [ "Shaun White Skateboarding" ], [ "Shawn Johnson Gymnastics" ], [ "Sherlock Holmes and the Mystery of Osborne House" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Secret of The Silver Earring" ], [ "Shin Hayarigami" ], [ "Shin Hayarigami" ], [ "Shin Hisui no Shizuku: Hiiro no Kakera 2 Portable" ], [ "Shin Kamaitachi no Yoru: 11 Hitome no Suspect" ], [ "Shin Kamaitachi no Yoru: 11 Hitome no Suspect" ], [ "Shin Ken to Mah? to Gakuenmono. Toki no Gakuen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Shu-Hen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Wei-Hen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Wu-Hen" ], [ "Shin Koihime Musou: Otome Taisen * Sangokushi Engi" ], [ "Shin Megami Tensei IV" ], [ "Shin Megami Tensei: Devil Summoner - Soul Hackers" ], [ "Shin Megami Tensei: Devil Survivor 2" ], [ "Shin Megami Tensei: Devil Survivor Overclocked" ], [ "Shin Megami Tensei: Persona 2: Innocent Sin" ], [ "Shin Sangoku Musou 5 Empires" ], [ "Shin Sangoku Musou 6 Special" ], [ "Shin Sangoku Musou Online: Kamishou Ranbu" ], [ "Shin Sangoku Musou Online: Souten Ranbu" ], [ "Shin Sangoku Musou: Multi Raid 2" ], [ "Shinigami to Shoujo" ], [ "Shining Ark" ], [ "Shining Blade" ], [ "Shining Hearts" ], [ "Shining Resonance" ], [ "Shinken de Watashi ni Koi Shinasai! R" ], [ "Shinobi" ], [ "Shinobi Koutsutsu" ], [ "Shinobido 2: Tales of the Ninja" ], [ "Ship Simulator Extremes" ], [ "Shirahana no Ori: Hiiro no Kakera 4 - Shiki no Uta" ], [ "Shiratsuyu no Kai" ], [ "Shiren the Wanderer 4 - God's Eye and the Demon's Navel" ], [ "Shiren the Wanderer 4 - God's Eye and the Demon's Navel" ], [ "Shrek: Forever After" ], [ "Shrek: Forever After" ], [ "Shrek: Forever After" ], [ "Shrek: Forever After" ], [ "Shukufuku no Campanella Portable" ], [ "Shutsugeki! Otometachi no Senjou 2: Ikusabana no Kizuna" ], [ "Sid Meier's Civilization V" ], [ "Sid Meier's Civilization: Beyond Earth" ], [ "Sid Meier's Pirates!" ], [ "Silent Hill HD Collection" ], [ "Silent Hill HD Collection" ], [ "Silent Hill: Book of Memories" ], [ "Silent Hill: Downpour" ], [ "Silent Hill: Downpour" ], [ "Silent Hill: Shattered Memories" ], [ "Silent Hill: Shattered Memories" ], [ "Silent Hunter 5: Battle of the Atlantic" ], [ "Silly Bandz: Play The Craze" ], [ "Silverlicious" ], [ "SimCity (2013)" ], [ "Sing Party" ], [ "Sing4: The Hits Edition" ], [ "SingStar Apres-Ski Party 2" ], [ "SingStar Dance" ], [ "SingStar Fussballhits" ], [ "SingStar Guitar" ], [ "SingStar: Back to the 80s" ], [ "Singstar: Ultimate Party" ], [ "Singstar: Ultimate Party" ], [ "Singularity" ], [ "Sins of a Solar Empire: Trinity" ], [ "Skate 3" ], [ "Skate 3" ], [ "Ski Region Simulator" ], [ "Skylanders Giants" ], [ "Skylanders Giants" ], [ "Skylanders Giants" ], [ "Skylanders Giants" ], [ "Skylanders Giants" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Sled Shred featuring the Jamaican Bobsled Team" ], [ "Sleeping Dogs" ], [ "Sleeping Dogs" ], [ "Sleeping Dogs" ], [ "Sleeping Dogs" ], [ "Sleeping Dogs" ], [ "Slime MoriMori Dragon Quest 3: Taikaizoku to Shippo Dan" ], [ "Slotter Mania P: Tetsuya Shinjuku vs Ueno " ], [ "Sly 2: Band of Thieves" ], [ "Sly Cooper: Thieves in Time" ], [ "Sly Cooper: Thieves in Time" ], [ "Smile PreCure! Let's Go! Marchen World" ], [ "Sniper Elite" ], [ "Sniper Elite 3" ], [ "Sniper Elite 3" ], [ "Sniper Elite 3" ], [ "Sniper Elite 3" ], [ "Sniper Elite V2" ], [ "Sniper Elite V2" ], [ "Sniper Elite V2" ], [ "Sniper: Ghost Warrior" ], [ "Sniper: Ghost Warrior" ], [ "Sniper: Ghost Warrior" ], [ "Sniper: Ghost Warrior 2" ], [ "Sniper: Ghost Warrior 2" ], [ "Sniper: Ghost Warrior 2" ], [ "So-Ra-No-Wo-To: Otome no Gojuusou" ], [ "Soccer Tsuku DS: World Challenge 2010" ], [ "Soccer Tsuku: Pro Soccer Club o Tsukurou!" ], [ "Soccer Tsuku: Pro Soccer Club o Tsukurou!" ], [ "Sokukoku no Kusabi: Hiiro no Kakera 3 Portable" ], [ "Sol Trigger" ], [ "Solatorobo: Red the Hunter" ], [ "Solitaire Overload Plus" ], [ "SoniPro" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & SEGA All-Stars Racing with Banjo-Kazooie" ], [ "Sonic & Sega All-Stars Racing" ], [ "Sonic & Sega All-Stars Racing" ], [ "Sonic & Sega All-Stars Racing" ], [ "Sonic Boom: Rise of Lyric" ], [ "Sonic Boom: Shattered Crystal" ], [ "Sonic Classic Collection" ], [ "Sonic Colors" ], [ "Sonic Colors" ], [ "Sonic Free Riders" ], [ "Sonic Generations" ], [ "Sonic Generations" ], [ "Sonic Generations" ], [ "Sonic Generations" ], [ "Sonic Lost World" ], [ "Sonic Lost World" ], [ "Sonny with a Chance" ], [ "Sora no Otoshimono Forte: Dreamy Season" ], [ "Sora no Otoshimono: DokiDoki Summer Vacation" ], [ "Sorcery" ], [ "Sorcery Saga: The Curse of the Great Curry God" ], [ "Soukoku no Kusabi: Hiiro no Kakera 3 - Ashita e no Tobira" ], [ "Soul Sacrifice" ], [ "Soul Sacrifice Delta" ], [ "SoulCalibur V" ], [ "SoulCalibur V" ], [ "South Park: The Stick of Truth" ], [ "South Park: The Stick of Truth" ], [ "South Park: The Stick of Truth" ], [ "Spec Ops: The Line" ], [ "Spec Ops: The Line" ], [ "Spec Ops: The Line" ], [ "Speed" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spirit Camera: The Cursed Memoir" ], [ "Splatterhouse" ], [ "Split/Second" ], [ "Split/Second" ], [ "Split/Second" ], [ "Split/Second" ], [ "SpongeBob SquarePants: Plankton's Robotic Revenge" ], [ "SpongeBob SquarePants: Plankton's Robotic Revenge" ], [ "SpongeBob SquarePants: Plankton's Robotic Revenge" ], [ "SpongeBob SquigglePants" ], [ "SpongeBob SquigglePants 3D" ], [ "SpongeBob's Boating Bash" ], [ "SpongeBob's Boating Bash" ], [ "SpongeBob's Surf & Skate Roadtrip" ], [ "SpongeBob's Surf & Skate Roadtrip" ], [ "Sports Champions" ], [ "Sports Collection" ], [ "Squinkies" ], [ "Squinkies 2: Adventure Mall Surprize!" ], [ "Squishy Tank" ], [ "Star Driver: Kagayaki no Takuto - Ginga Bishounen Densetsu" ], [ "Star Fox 64 3D" ], [ "Star Ocean: The Last Hope International" ], [ "Star Trek Online" ], [ "Star Trek: The Game" ], [ "Star Trek: The Game" ], [ "Star Trek: The Game" ], [ "Star Wars: The Force Unleashed II" ], [ "Star Wars: The Force Unleashed II" ], [ "Star Wars: The Force Unleashed II" ], [ "Star Wars: The Force Unleashed II" ], [ "Star Wars: The Force Unleashed II" ], [ "Star Wars: The Old Republic" ], [ "StarCraft II: Heart of the Swarm" ], [ "StarCraft II: Wings of Liberty" ], [ "Starhawk" ], [ "Starry ? Sky: After Autumn" ], [ "Starry ? Sky: After Summer" ], [ "Starry ? Sky: In Autumn" ], [ "Starry ? Sky: In Spring" ], [ "Starry ? Sky: In Summer" ], [ "Starry ? Sky: In Winter" ], [ "Start the Party!" ], [ "Start the Party! Save the World" ], [ "Steel Battalion: Heavy Armor" ], [ "Steel Diver" ], [ "Steins;Gate" ], [ "Steins;Gate" ], [ "Steins;Gate" ], [ "Steins;Gate: Hiyoku Renri no Darling" ], [ "Steins;Gate: Hiyoku Renri no Darling" ], [ "Steins;Gate: Hiyoku Renri no Darling" ], [ "Steins;Gate: Senkei Kousoku no Phonogram" ], [ "Steins;Gate: Senkei Kousoku no Phonogram" ], [ "Storm Lover 2nd" ], [ "Storm Lover Kai!!" ], [ "StormLover" ], [ "StormLover Karen!!" ], [ "Story of Seasons" ], [ "Street Fighter X Tekken" ], [ "Street Fighter X Tekken" ], [ "Street Fighter X Tekken" ], [ "Street Fighter X Tekken" ], [ "Strider (2014)" ], [ "Strike Witches 2: Iyasu Naosu Punipunisuru" ], [ "Strike Witches: Anata to Dekiru Koto - A Little Peaceful Days" ], [ "Strike Witches: Shirogane no Tsubasa" ], [ "Strike Witches: Shirogane no Tsubasa" ], [ "Stronghold 3" ], [ "Stronghold Kingdoms" ], [ "Style Savvy: Trendsetters" ], [ "Suikoden: Tsumugareshi Hyakunen no Toki" ], [ "Suite PreCure: Melody Collection" ], [ "Sumikko Gurashi: Koko ga Ochitsukundesu" ], [ "Summer Challenge: Athletics Tournament" ], [ "Summer Challenge: Athletics Tournament" ], [ "Summon Night 3" ], [ "Summon Night 4" ], [ "Summon Night 5" ], [ "Summon Night Granthese: Horobi no Ken to Yakusoku no Kishi" ], [ "Sunset Overdrive" ], [ "Super Hero Generation" ], [ "Super Hero Generation" ], [ "Super Heroine Chronicle" ], [ "Super Heroine Chronicle" ], [ "Super Mario 3D Land" ], [ "Super Mario 3D World" ], [ "Super Mario All-Stars: Limited Edition" ], [ "Super Mario Galaxy 2" ], [ "Super Meat Boy: Ultra Edition!" ], [ "Super Monkey Ball 3D" ], [ "Super Monkey Ball: Step & Roll" ], [ "Super Robot Taisen L" ], [ "Super Robot Taisen OG Infinite Battle" ], [ "Super Robot Taisen OG Saga: Masou Kishin III - Pride of Justice" ], [ "Super Robot Taisen OG Saga: Masou Kishin III - Pride of Justice" ], [ "Super Robot Taisen UX" ], [ "Super Robot Wars OG Saga Masou Kishin F: Coffin of the End" ], [ "Super Robot Wars OG Saga: Masou Kishin - The Lord of Elemental" ], [ "Super Scribblenauts" ], [ "Super Sentai Battle: Ranger Cross" ], [ "Super Smash Bros. for Wii U and 3DS" ], [ "Super Smash Bros. for Wii U and 3DS" ], [ "Super Street Fighter IV: 3D Edition" ], [ "Supremacy MMA" ], [ "Supremacy MMA" ], [ "Supremacy MMA" ], [ "Supreme Commander 2" ], [ "Supreme Commander 2" ], [ "Supreme Ruler: Cold War" ], [ "Sushi Go-Round" ], [ "Sushi Go-Round" ], [ "Suzumiya Haruhi no Tsuisou" ], [ "Suzumiya Haruhi no Tsuisou" ], [ "Suzumiya Haruhi-Chan no Mahjong" ], [ "Suzunone Seven: Rebirth Knot" ], [ "Sword Art Online: Hollow Fragment" ], [ "Sword Art Online: Infinity Moment" ], [ "Syndicate" ], [ "Syndicate" ], [ "Syphon Filter: Logan's Shadow" ], [ "T.A.C. Heroes : Big Red One" ], [ "TNA iMPACT: Cross the Line" ], [ "TNA iMPACT: Cross the Line" ], [ "TRINITY: Souls of Zill O'll" ], [ "TRON: Evolution" ], [ "TRON: Evolution" ], [ "TRON: Evolution" ], [ "TRON: Evolution" ], [ "TRON: Evolution" ], [ "TRON: Evolution - Battle Grids" ], [ "TV Anime: Fairy Tale Gekitou! Madoushi Kessen" ], [ "TV Superstars" ], [ "TV Total Events" ], [ "Tactics Ogre: Let Us Cling Together" ], [ "Taiko Drum Master: Don and Katsu's Space-Time Great Adventure" ], [ "Taiko Drum Master: Tokumori!" ], [ "Taiko no Tatsujin DS: Dororon! Youkai Daikessen!!" ], [ "Taiko no Tatsujin Portable DX" ], [ "Taiko no Tatsujin Wii: Ketteiban" ], [ "Taiko no Tatsujin Wii: Minna de Party * 3-Yome!" ], [ "Taiko no Tatsujin: Chibi Dragon to Fushigi na Orb" ], [ "Taiko no Tatsujin: Wii U Version!" ], [ "Take On Helicopters" ], [ "Tale of a Hero" ], [ "Tales of Graces f" ], [ "Tales of Hearts" ], [ "Tales of Innocence R" ], [ "Tales of Phantasia: Narikiri Dungeon X" ], [ "Tales of Symphonia" ], [ "Tales of Xillia" ], [ "Tales of the Abyss" ], [ "Tales of the Heroes: Twin Brave" ], [ "Tales of the World: Radiant Mythology 3" ], [ "Tales of the World: Reve Unitia" ], [ "Tamagotchi Collection" ], [ "Tamagotchi no Doki Doki Dream Omisecchi" ], [ "Tamagotchi no Narikiri Challenge" ], [ "Tamagotchi no Pichi Pichi Omisecchi" ], [ "Tank! Tank! Tank!" ], [ "Tantei Opera: Milky Holmes" ], [ "Tatsunoko vs. Capcom: Ultimate All-Stars" ], [ "Tearaway" ], [ "Tears to Tiara II: Heir of the Overlord" ], [ "Tears to Tiara: Kakan no Daichi Portable" ], [ "Teenage Mutant Ninja Turtles (3DS)" ], [ "Teenage Mutant Ninja Turtles: Danger of the Ooze" ], [ "Teenage Mutant Ninja Turtles: Danger of the Ooze" ], [ "Teenage Mutant Ninja Turtles: Danger of the Ooze" ], [ "Tegami Bachi: Kokoro Tsumugu Mono e" ], [ "Tekken 3D: Prime Edition" ], [ "Tekken Tag Tournament 2" ], [ "Tekken Tag Tournament 2" ], [ "Tekken Tag Tournament 2" ], [ "Tenjin Ranman: Happy GO Lucky!!" ], [ "Tenkai Knights: Brave Battle" ], [ "Tenkaichi * Sengoku Lovers" ], [ "Tennis no Oji-Sama Gyutto! DokiDoki Survival - Umi to Yama no Love Passion" ], [ "Tennis no Oji-Sama: Motto Gakuensai no Ouji-Sama - More Sweet Edition" ], [ "Terraria" ], [ "Terraria" ], [ "Terraria" ], [ "Terraria" ], [ "Terraria" ], [ "Terraria" ], [ "Test Drive: Ferrari Legends" ], [ "Test Drive: Ferrari Legends" ], [ "Tetris Axis" ], [ "Tetris Party Deluxe" ], [ "Tetris Party Deluxe" ], [ "The $1 Pyramid" ], [ "The 3rd Birthday" ], [ "The Adventures of Tintin: The Game" ], [ "The Adventures of Tintin: The Game" ], [ "The Adventures of Tintin: The Game" ], [ "The Adventures of Tintin: The Game" ], [ "The Amazing Race" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Awakened Fate Ultimatum" ], [ "The Bachelor: The Videogame" ], [ "The Bachelor: The Videogame" ], [ "The Biggest Loser: Challenge" ], [ "The Biggest Loser: Ultimate Workout" ], [ "The Binding of Isaac" ], [ "The Black Eyed Peas Experience" ], [ "The Black Eyed Peas Experience" ], [ "The Book of Unwritten Tales: The Critter Chronicles" ], [ "The Bureau: XCOM Declassified" ], [ "The Bureau: XCOM Declassified" ], [ "The Bureau: XCOM Declassified" ], [ "The Cages: Pro Style Batting Practice" ], [ "The Crew" ], [ "The Crew" ], [ "The Crew" ], [ "The Crew" ], [ "The Croods: Prehistoric Party!" ], [ "The Croods: Prehistoric Party!" ], [ "The Croods: Prehistoric Party!" ], [ "The Croods: Prehistoric Party!" ], [ "The Cube" ], [ "The Cursed Crusade" ], [ "The Cursed Crusade" ], [ "The Cursed Crusade" ], [ "The Darkness II" ], [ "The Darkness II" ], [ "The Darkness II" ], [ "The Elder Scrolls Online" ], [ "The Elder Scrolls V: Skyrim" ], [ "The Elder Scrolls V: Skyrim" ], [ "The Elder Scrolls V: Skyrim" ], [ "The Evil Within" ], [ "The Evil Within" ], [ "The Evil Within" ], [ "The Evil Within" ], [ "The Evil Within" ], [ "The Eye of Judgment: Legends" ], [ "The Fight: Lights Out" ], [ "The First Templar" ], [ "The First Templar" ], [ "The God of War Trilogy" ], [ "The Golf Club" ], [ "The Golf Club" ], [ "The Guided Fate Paradox" ], [ "The Gunstringer" ], [ "The Haunted: Hell's Reach" ], [ "The History Channel: Great Battles - Medieval" ], [ "The House of the Dead: Overkill - Extended Cut" ], [ "The ICO & Shadow of the Colossus Collection" ], [ "The IdolM@ster: Gravure For You! Vol. 6" ], [ "The IdolM@ster: One for All" ], [ "The Idolm@ster 2" ], [ "The Idolm@ster: Shiny Festa - Honey Sound / Funky Note / Groovy Tune" ], [ "The Idolmaster 2" ], [ "The Idolmaster: Gravure For You! Vol. 2" ], [ "The Idolmaster: Gravure For You! Vol. 3" ], [ "The Idolmaster: Gravure For You! Vol. 4" ], [ "The Idolmaster: Gravure For You! Vol. 5" ], [ "The Idolmaster: Gravure For You! Vol.7" ], [ "The Idolmaster: Gravure For You! Vol.8" ], [ "The Idolmaster: Gravure For You! Vol.9" ], [ "The Inner World" ], [ "The Jak and Daxter Collection" ], [ "The King of Fighters Portable '94~'98: Chapter of Orochi" ], [ "The King of Fighters XIII" ], [ "The King of Fighters XIII" ], [ "The Kore Gang" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The Last Airbender" ], [ "The Last Airbender" ], [ "The Last Story" ], [ "The Last of Us" ], [ "The Last of Us" ], [ "The Legend of Heroes VII: The Trail of Blue" ], [ "The Legend of Heroes VII: The Trail of Blue" ], [ "The Legend of Heroes VII: The Trail of Zero" ], [ "The Legend of Heroes VII: The Trail of Zero" ], [ "The Legend of Heroes: Trails in the Sky First Chapter" ], [ "The Legend of Heroes: Trails in the Sky Second Chapter" ], [ "The Legend of Heroes: Trails in the Sky Third Chapter" ], [ "The Legend of Heroes: Trails of Cold Steel" ], [ "The Legend of Heroes: Trails of Cold Steel" ], [ "The Legend of Heroes: Trails of Cold Steel II" ], [ "The Legend of Heroes: Trails of Cold Steel II" ], [ "The Legend of Korra (3DS)" ], [ "The Legend of Zelda: A Link Between Worlds" ], [ "The Legend of Zelda: Ocarina of Time" ], [ "The Legend of Zelda: Skyward Sword" ], [ "The Legend of Zelda: The Wind Waker" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: War in the North" ], [ "The Lost Chronicles of Zerzura" ], [ "The Lost Treasures of Alexandria" ], [ "The Magic School Bus: Oceans" ], [ "The Mysterious Case of Dr. Jekyll and Mr. Hyde" ], [ "The Next BIG Thing" ], [ "The Night of the Rabbit" ], [ "The Oregon Trail" ], [ "The Oregon Trail" ], [ "The Penguins of Madagascar" ], [ "The Penguins of Madagascar: Dr. Blowhole Returns - Again!" ], [ "The Penguins of Madagascar: Dr. Blowhole Returns - Again!" ], [ "The Penguins of Madagascar: Dr. Blowhole Returns - Again!" ], [ "The Penguins of Madagascar: Dr. Blowhole Returns - Again!" ], [ "The Price is Right: Decades" ], [ "The Price is Right: Decades" ], [ "The Secret World" ], [ "The Settlers 7: Paths to a Kingdom" ], [ "The Shoot" ], [ "The Sims 3" ], [ "The Sims 3" ], [ "The Sims 3" ], [ "The Sims 3" ], [ "The Sims 3" ], [ "The Sims 3: Ambitions" ], [ "The Sims 3: Barnacle Bay" ], [ "The Sims 3: Fast Lane Stuff" ], [ "The Sims 3: Generations" ], [ "The Sims 3: High-End Loft Stuff" ], [ "The Sims 3: Late Night Expansion Pack" ], [ "The Sims 3: Outdoor Living Stuff" ], [ "The Sims 3: Seasons" ], [ "The Sims 3: Town Life Stuff" ], [ "The Sims 4" ], [ "The Sims Medieval: Pirates and Nobles" ], [ "The Sims: Medieval" ], [ "The Sly Collection" ], [ "The Smurfs" ], [ "The Smurfs 2" ], [ "The Smurfs 2" ], [ "The Smurfs 2" ], [ "The Smurfs 2" ], [ "The Smurfs 2" ], [ "The Smurfs: Dance Party" ], [ "The Story of Noah's Ark" ], [ "The Testament of Sherlock Holmes" ], [ "The Testament of Sherlock Holmes" ], [ "The Testament of Sherlock Holmes" ], [ "The Tomb Raider Trilogy" ], [ "The Train Giant" ], [ "The Treasures of Montezuma" ], [ "The Treasures of Mystery Island 3 Pack - Save Mystery Island!" ], [ "The Ultimate Battle of the Sexes" ], [ "The Voice" ], [ "The Voice" ], [ "The Voice" ], [ "The Walking Dead: Season One" ], [ "The Walking Dead: Season One" ], [ "The Walking Dead: Season One" ], [ "The Walking Dead: Season One" ], [ "The Walking Dead: Season One" ], [ "The Walking Dead: Season One" ], [ "The Walking Dead: Season Two" ], [ "The Walking Dead: Season Two" ], [ "The Walking Dead: Season Two" ], [ "The Walking Dead: Season Two" ], [ "The Walking Dead: Season Two" ], [ "The Walking Dead: Survival Instinct" ], [ "The Walking Dead: Survival Instinct" ], [ "The Walking Dead: Survival Instinct" ], [ "The Witch and the Hundred Knight" ], [ "The Witcher 2: Assassins of Kings" ], [ "The Witcher 2: Assassins of Kings" ], [ "The Wolf Among Us" ], [ "The Wolf Among Us" ], [ "The Wolf Among Us" ], [ "The Wolf Among Us" ], [ "The Wolf Among Us" ], [ "The Wonderful 101" ], [ "The X-Factor" ], [ "The X-Factor" ], [ "The X-Factor" ], [ "Theatrhythm Final Fantasy: Curtain Call" ], [ "Theatrhythm: Final Fantasy" ], [ "Thief (2014)" ], [ "Thief (2014)" ], [ "Thief (2014)" ], [ "Thief (2014)" ], [ "Thief (2014)" ], [ "Thomas & Friends: Hero of the Rails" ], [ "Thomas & Friends: Hero of the Rails" ], [ "Thor: God of Thunder" ], [ "Thor: God of Thunder" ], [ "Thor: God of Thunder" ], [ "Thor: God of Thunder" ], [ "Thor: God of Thunder" ], [ "Tiger & Bunny: Hero's Day" ], [ "Tiger & Bunny: On-Air Jack!" ], [ "Tiger Woods PGA Tour 11" ], [ "Tiger Woods PGA Tour 11" ], [ "Tiger Woods PGA Tour 11" ], [ "Tiger Woods PGA Tour 12: The Masters" ], [ "Tiger Woods PGA Tour 12: The Masters" ], [ "Tiger Woods PGA Tour 12: The Masters" ], [ "Tiger Woods PGA Tour 13" ], [ "Tiger Woods PGA Tour 13" ], [ "Tiger Woods PGA Tour 14" ], [ "Tiger Woods PGA Tour 14" ], [ "Time Crisis: Razing Storm" ], [ "Time Travelers" ], [ "Time Travelers" ], [ "Time Travelers" ], [ "Time and Eternity" ], [ "Timmy Time" ], [ "Titanfall" ], [ "Titanfall" ], [ "Titanfall" ], [ "Titanic Mystery" ], [ "Titanic Mystery" ], [ "To Heart 2 DX Plus" ], [ "To Heart 2: Dungeon Travelers" ], [ "To Love-Ru Trouble Darkness: Battle Ecstasy" ], [ "Toaru Kagaku no Chou Denjihou" ], [ "Toaru Majutsu no Index" ], [ "Toaru Majutsu no Kagaku no Ensemble" ], [ "Tobidase! Kagaku-kun Chikyuu Daitanken! Nazo no Chinkai Seibutsu ni Idome!" ], [ "Tohoku Daigaku Karei Igaku Kenkyuusho - Kawashima Ryuuta Kyouju Kanshuu - Mono Sugoku Nou o Kitaeru 5-Funkan no Oni Training" ], [ "Toki no Kizuna: Hanayui Tsuzuri" ], [ "Toki no Kizuna: Sekigahara Kitan" ], [ "Tokimeki Memorial Girl's Side 3rd Story" ], [ "Tokimeki Memorial Girl's Side Premium: 3rd Story" ], [ "Tokumei Sentai Go-Busters" ], [ "Tokushu Houdoubu" ], [ "Tokyo Jungle" ], [ "Tokyo Mono Harashi: Karasu no Mori Gakuen Kitan" ], [ "Tokyo Twilight Ghost Hunters" ], [ "Tokyo Twilight Ghost Hunters" ], [ "Tom Clancy's Ghost Recon" ], [ "Tom Clancy's Ghost Recon: Future Soldier" ], [ "Tom Clancy's Ghost Recon: Future Soldier" ], [ "Tom Clancy's Ghost Recon: Future Soldier" ], [ "Tom Clancy's Ghost Recon: Predator" ], [ "Tom Clancy's Ghost Recon: Shadow Wars" ], [ "Tom Clancy's HAWX 2" ], [ "Tom Clancy's HAWX 2" ], [ "Tom Clancy's HAWX 2" ], [ "Tom Clancy's HAWX 2" ], [ "Tom Clancy's Splinter Cell 3D" ], [ "Tom Clancy's Splinter Cell Classic Trilogy HD" ], [ "Tom Clancy's Splinter Cell Trilogy" ], [ "Tom Clancy's Splinter Cell: Blacklist" ], [ "Tom Clancy's Splinter Cell: Blacklist" ], [ "Tom Clancy's Splinter Cell: Blacklist" ], [ "Tom Clancy's Splinter Cell: Blacklist" ], [ "Tom Clancy's Splinter Cell: Conviction" ], [ "Tom Clancy's Splinter Cell: Conviction" ], [ "Tomb Raider (2013)" ], [ "Tomb Raider (2013)" ], [ "Tomb Raider (2013)" ], [ "Tomb Raider (2013)" ], [ "Tomodachi Life" ], [ "Tongari Boushi to Mahou no Otana" ], [ "Tongari Boushi to Oshare na Mahou Tsukai" ], [ "Tony Hawk: Shred" ], [ "Tony Hawk: Shred" ], [ "Tony Hawk: Shred" ], [ "Top Gun" ], [ "Top Gun: Hard Lock" ], [ "Top Gun: Hard Lock" ], [ "Top Shot Arcade" ], [ "Top Spin 4" ], [ "Top Spin 4" ], [ "Top Spin 4" ], [ "Toriko: Gourmet Battle!" ], [ "Toriko: Gourmet Monsters!" ], [ "Toriko: Gourmet Survival!" ], [ "Toriko: Ultimate Survival" ], [ "Toshochu: Run for Money" ], [ "Total War: Rome II" ], [ "Total War: Shogun 2" ], [ "Total War: Shogun 2 - Fall of the Samurai" ], [ "Touch 'N' Play Collection" ], [ "Touch Detective 3: Does Funghi Dream of Bananas?" ], [ "Touch Detective: Nameko Shigeru" ], [ "Touch My Katamari " ], [ "Touch Shot! 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Pokemon Typing DS" ], [ "Battle Princess of Arcadias" ], [ "Battle Spirits: Digital Starter" ], [ "Battle Spirits: Hero's Soul" ], [ "Battle of Giants: Dinosaurs Strike" ], [ "Battle of Giants: Mutant Insects" ], [ "Battle vs. Chess" ], [ "Battlefield: Bad Company 2" ], [ "Bayonetta 2" ], [ "Beastly" ], [ "Beastly Frantic Foto" ], [ "Beat City" ], [ "Beat Sketch!" ], [ "Bejeweled 3" ], [ "Bejeweled Blitz" ], [ "Bejeweled Twist" ], [ "Bella Sara 2 - The Magic of Drasilmare" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Galactic Racing" ], [ "Ben 10 Omniverse 2" ], [ "Ben 10 Omniverse 2" ], [ "Ben 10 Triple Pack" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Ben 10 Ultimate Alien: Cosmic Destruction" ], [ "Best Friends Tonight" ], [ "Beyblade Evolution" ], [ "Beyblade: Metal Masters" ], [ "Big Hero 6: Battle in the Bay" ], [ "Big League Sports" ], [ "Bigfoot King of Crush" ], [ "Billy's Boot Camp: Wii de Enjoy Diet!" ], [ "Binary Domain" ], [ "Binary Domain" ], [ "Binary Star" ], [ "BioShock Infinite" ], [ "Biohazard: Revival Selection" ], [ "Biohazard: Revival Selection" ], [ "Birds of Steel" ], [ "Birds of Steel" ], [ "Black * Rock Shooter: The Game" ], [ "Blackwater" ], [ "Blades of Time" ], [ "Blades of Time" ], [ "BlazBlue: Calamity Trigger" ], [ "BlazBlue: Calamity Trigger Portable" ], [ "BlazBlue: Chrono Phantasma" ], [ "BlazBlue: Chrono Phantasma" ], [ "BlazBlue: Continuum Shift" ], [ "BlazBlue: Continuum Shift" ], [ "BlazBlue: Continuum Shift II" ], [ "BlazBlue: Continuum Shift II" ], [ "Blazblue: Continuum Shift Extend" ], [ "Blazblue: Continuum Shift Extend" ], [ "Blazblue: Continuum Shift Extend" ], [ "Blaze Union: Story to Reach the Future" ], [ "Bleach: Heat the Soul 7" ], [ "Bleach: Soul Resurreccion" ], [ "Blood Bowl: Legendary Edition" ], [ "Blood Drive" ], [ "Blood Drive" ], [ "Blue Roses: Yousei to Aoi Hitomi no Senshitachi" ], [ "Blur" ], [ "Blur" ], [ "Blur" ], [ "Body and Brain Connection" ], [ "Bodycount" ], [ "Bodycount" ], [ "Boku no Natsuyasumi Portable 2: Nazo Nazo Shimai to Chinbotsusen no Himitsu" ], [ "Book of Spells" ], [ "Boot Camp Academy" ], [ "Borderlands 2" ], [ "Borderlands 2" ], [ "Borderlands: Double Game Add-On Pack" ], [ "Borderlands: The Pre-Sequel" ], [ "Borderlands: The Pre-Sequel" ], [ "Borderlands: The Pre-Sequel" ], [ "Botanicula" ], [ "Bound By Flame" ], [ "Brain Age: Concentration Training" ], [ "Brave: The Video Game" ], [ "Brave: The Video Game" ], [ "Breach" ], [ "Brink" ], [ "Brink" ], [ "Brothers Conflict: Brilliant Blue" ], [ "Brothers Conflict: Passion Pink" ], [ "Brothers in Arms: Furious 4" ], [ "Brunswick Cosmic Bowling" ], [ "Brunswick Pro Bowling" ], [ "Brunswick Pro Bowling" ], [ "Brunswick Pro Bowling" ], [ "Build-A-Bear Workshop: Welcome to Hugsville" ], [ "Bullet Girls" ], [ "Bullet Soul: Tama Tamashii" ], [ "Bulletstorm" ], [ "Bulletstorm" ], [ "Bunmei Haruka: Aoiza Ibunroku" ], [ "Bunmei Kaika: Aoiza Ibunroku Saien" ], [ "Busou Shinki: Battle Masters" ], [ "Busou Shinki: Battle Masters Mk. 2" ], [ "Bust-A-Move Universe" ], [ "Busy Scissors" ], [ "Busy Scissors" ], [ "Buzz! The Ultimate Music Quiz" ], [ "CSI: Fatal Conspiracy" ], [ "CSI: Fatal Conspiracy" ], [ "CSI: Fatal Conspiracy" ], [ "CSI: Fatal Conspiracy" ], [ "CSI: Unsolved!" ], [ "CV Casting Voice" ], [ "Cabela's Adventure Camp" ], [ "Cabela's Adventure Camp" ], [ "Cabela's Adventure Camp" ], [ "Cabela's Big Game Hunter 2012" ], [ "Cabela's Big Game Hunter 2012" ], [ "Cabela's Big Game Hunter 2012" ], [ "Cabela's Big Game Hunter: Hunting Party" ], [ "Cabela's Big Game Hunter: Pro Hunts" ], [ "Cabela's Big Game Hunter: Pro Hunts" ], [ "Cabela's Big Game Hunter: Pro Hunts" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's Dangerous Hunts 2011" ], [ "Cabela's Monster Buck Hunter" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's North American Adventures" ], [ "Cabela's Survival: Shadows of Katmai" ], [ "Cabela's Survival: Shadows of Katmai" ], [ "Cabela's Survival: Shadows of Katmai" ], [ "Cake Mania: Main Street" ], [ "Caladrius" ], [ "Call of Duty: Advanced Warfare" ], [ "Call of Duty: Black Ops" ], [ "Call of Duty: Black Ops II" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Ghosts" ], [ "Call of Duty: Modern Warfare 3" ], [ "Call of Duty: Modern Warfare 3: Defiance" ], [ "Call of Duty: The War Collection" ], [ "Call of Juarez: The Cartel" ], [ "Call of Juarez: The Cartel" ], [ "Call of Juarez: The Cartel" ], [ "Camp Rock: The Final Jam" ], [ "Camping Mama: Outdoor Adventures" ], [ "Canada Hunt" ], [ "Capcom Digital Collection" ], [ "Captain America: Super Soldier" ], [ "Captain America: Super Soldier" ], [ "Captain America: Super Soldier" ], [ "Captain Morgane and the Golden Turtle" ], [ "Captain Morgane and the Golden Turtle" ], [ "Captain Morgane and the Golden Turtle" ], [ "Captain Morgane and the Golden Turtle" ], [ "Captain Tsubasa: New Kick Off" ], [ "Cardfight!! Vanguard: Lock On Victory!!" ], [ "Cardfight!! Vanguard: Ride to Victory" ], [ "Carnage Heart EXA" ], [ "Carnival Games: Monkey See, Monkey Do!" ], [ "Carnival Games: Wild West 3D" ], [ "Carnival Island" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars 2" ], [ "Cars Toon: Mater's Tall Tales" ], [ "Cartoon Network: Punch Time Explosion" ], [ "Cartoon Network: Punch Time Explosion XL" ], [ "Cartoon Network: Punch Time Explosion XL" ], [ "Cartoon Network: Punch Time Explosion XL" ], [ "Casino Chaos With Las Vegas Players Collection" ], [ "Castlevania: Lords of Shadow" ], [ "Castlevania: Lords of Shadow - Mirror of Fate" ], [ "Castlevania: Lords of Shadow - Reverie" ], [ "Castlevania: Lords of Shadow - Reverie" ], [ "Castlevania: Lords of Shadow 2" ], [ "Castlevania: Lords of Shadow 2" ], [ "Castlevania: Lords of Shadow 2" ], [ "Casual Mania!" ], [ "Catherine" ], [ "Catherine" ], [ "Cats & Dogs: The Revenge of Kitty Galore" ], [ "Cave Story 3D" ], [ "Centipede: Infestation" ], [ "Centipede: Infestation" ], [ "Challenge Me: Brain Puzzles 2" ], [ "Challenge Me: Brain Puzzles 2" ], [ "Challenge Me: Word Puzzles" ], [ "Champion Jockey: G1 Jockey & Gallop Racer" ], [ "Champion Jockey: G1 Jockey & Gallop Racer" ], [ "Champion Jockey: G1 Jockey & Gallop Racer" ], [ "Chaos Rings III" ], [ "Chaos;Head - Love Chu*Chu!" ], [ "Chaos;Head - Love Chu*Chu!" ], [ "Chaos;Head Noah" ], [ "Chaos;Head Noah" ], [ "Cheer We Go!" ], [ "Chevrolet Camaro: Wild Ride" ], [ "Chevrolet Camaro: Wild Ride" ], [ "Chicken Riot" ], [ "Child of Eden" ], [ "Child of Eden" ], [ "Child of Light" ], [ "Child of Light" ], [ "Chocolatier" ], [ "Chou Jigen Game Neptune Mk-II" ], [ "Choujikuu Yousai Macross: Do You Remember Love" ], [ "Chousoku Henkei Gyrozetter: Albatross no Tsubasa" ], [ "Cho~ricchi! Tamagotchi no Puchi Puchi Omisecchi" ], [ "Chronicles of Mystery: The Secret Tree of Life" ], [ "Chuck E. Cheese's Game Room" ], [ "Chuck E. Cheese's Party Games" ], [ "Chuck E. Cheese's Party Games" ], [ "Chuck E. Cheese's Playhouse" ], [ "Chuck E. Cheese's Sports Games" ], [ "Chuck E. Cheese's Super Collection" ], [ "Ciel Nosurge: Ushinawareta Hoshi e Sasagu Uta" ], [ "Cities XL 2011" ], [ "Cities XL 2012" ], [ "Cities in Motion" ], [ "Cities in Motion Collection" ], [ "City Builder" ], [ "Clannad" ], [ "Clannad: Mitsumi Mamoru Sakamichi de - Gekan" ], [ "Clannad: Mitsumi Mamoru Sakamichi de - Joukan" ], [ "Clash of Elementalists" ], [ "Clash of Elementalists" ], [ "Clash of the Titans" ], [ "Clash of the Titans" ], [ "Classic Dungeon X2" ], [ "Classic Dungeon: Fuyoku no Masoujin" ], [ "Clock Zero: Shuuen no Ichibyou Portable" ], [ "Clover no Kuni no Alice: Wonderful Wonder World" ], [ "Clover no Kuni no Alice: Wonderful Wonder World" ], [ "Club Penguin: Elite Penguin Force - Herbert's Revenge" ], [ "Club Penguin: Game Day!" ], [ "Code of Princess" ], [ "Code:Realize - Sousei no Himegimi" ], [ "Combat of Giants: Dinosaurs 3D" ], [ "Command & Conquer 4: Tiberian Twilight" ], [ "Commander: Conquest of the Americas" ], [ "Company of Heroes 2" ], [ "Conception II: Children of the Seven Stars" ], [ "Conception II: Children of the Seven Stars" ], [ "Conception: Please Give Birth to My Child!" ], [ "Conduit 2" ], [ "Contrast" ], [ "Cooking Mama 4: Kitchen Magic!" ], [ "Cooking Mama 5: Bon Appetit!" ], [ "Cooking Mama: My Sweets Shop" ], [ "Coronation Street: The Mystery of the Missing Hotpot Recipe" ], [ "Corpse Party: Blood Covered - Repeated Fear" ], [ "Corpse Party: Blood Drive" ], [ "Corpse Party: Book of Shadows" ], [ "Cosmos Chaos!" ], [ "Country Dance" ], [ "Country Dance 2" ], [ "Country Dance: All Stars" ], [ "Crafting Mama" ], [ "Crayon Shin-Chan Shokkugan! Densetsu o Yobu Omake Daiketsusen!!" ], [ "Crayon Shin-Chan: Obaka Daininden - Susume! Kasukabe Ninja Tai!" ], [ "Crayon Shin-Chan: Uchuu de Achoo!? Yuujou no Oba-Karate!!" ], [ "Crayon Shin-chan: Arashi o Yobu Kasukabe Eiga Stars!" ], [ "Crazy Machines" ], [ "Create" ], [ "Create" ], [ "Create" ], [ "Create" ], [ "Crime Lab: Body of Evidence" ], [ "Criminal Girls: Invite Only" ], [ "Criminal Girls: Invite Only" ], [ "Cross + Channel" ], [ "Cross Channel: In Memory of All People" ], [ "Crush3D" ], [ "Crysis 2" ], [ "Crysis 3" ], [ "Crysis 3" ], [ "Crysis 3" ], [ "Cubic Ninja" ], [ "Culdcept" ], [ "Curse of the Amsterdam Diamond" ], [ "Custom Drive" ], [ "Cut the Rope" ], [ "D.C. III: Da Capo III" ], [ "DC Universe Online" ], [ "DC Universe Online" ], [ "DECA Sports Freedom" ], [ "DJ Hero 2" ], [ "DJ Hero 2" ], [ "DJ Hero 2" ], [ "DJ Max Portable 3" ], [ "DJ Max Technika Tune" ], [ "Da Capo I & II Plus Situation Portable" ], [ "DaGeDar" ], [ "Dai-2-Ji Super Robot Taisen OG" ], [ "Dai-2-Ji Super Robot Taisen Z Saisei-hen" ], [ "Dai-2-Ji Super Robot Taisen Z: Hakai-hen" ], [ "Daigasso! Band Brothers P" ], [ "Daikaijuu Battle: Ultra Coliseum DX - Ultra Senshi Daishuuketsu" ], [ "Daito Giken Koushiki Pachi-Slot Simulator Hihouden: Taiyou o Motomeru Monotachi" ], [ "Daito Giken Koushiki Pachi-Slot Simulator: Hihouden - Fuujirareta Megami Portable" ], [ "Daito Giken Koushiki Pachi-Slot Simulator: Ossu! Misao + Maguro Densetsu Portable" ], [ "Daiya no Kuni no Alice: Wonderful Mirror World" ], [ "Damage Inc.: Pacific Squadron WWII" ], [ "Danball Senki" ], [ "Danball Senki Boost" ], [ "Dance Central 3" ], [ "Dance Central: Spotlight" ], [ "Dance Dance Revolution: Hottest Party 5" ], [ "Dance Paradise" ], [ "Dance Sensation!" ], [ "Dance on Broadway" ], [ "Dance! It's Your Stage" ], [ "DanceDanceRevolution" ], [ "DanceDanceRevolution" ], [ "DanceDanceRevolution" ], [ "DanceMasters" ], [ "DanceStar Party" ], [ "Dancing on Ice" ], [ "Dancing on Ice" ], [ "Danganronpa 2: Goodbye Despair" ], [ "Danganronpa 2: Goodbye Despair" ], [ "Danganronpa Another Episode: Ultra Despair Girls" ], [ "Danganronpa: Trigger Happy Havoc" ], [ "Dangerous Ji-San to 1000-nin no Otomodachi Yokoshima" ], [ "Daniel X: The Ultimate Power" ], [ "Dante's Inferno" ], [ "Dante's Inferno" ], [ "Dark Parables: The Exiled Prince" ], [ "Dark Souls" ], [ "Dark Souls" ], [ "Dark Souls II" ], [ "Dark Souls II" ], [ "Dark Tales: Edgar Allan Poe's The Premature Burial" ], [ "Dark Void" ], [ "Dark Void" ], [ "Dark Void" ], [ "DarkStar One: Broken Alliance" ], [ "Darksiders" ], [ "Darksiders" ], [ "Darksiders II" ], [ "Darksiders II" ], [ "Darksiders II" ], [ "Darksiders II" ], [ "Darkspore" ], [ "Darkstalkers Resurrection" ], [ "Data East Arcade Classics" ], [ "Date A Live: Arusu Install" ], [ "Date A Live: Rine Utopia" ], [ "Datenshi no Amai Yuuwaku x Kaikan Phrase" ], [ "Dawn of Heroes" ], [ "Dead Island" ], [ "Dead Island: Riptide" ], [ "Dead Island: Riptide" ], [ "Dead Rising 2" ], [ "Dead Rising 2: Off the Record" ], [ "Dead Rising 2: Off the Record" ], [ "Dead Rising 2: Off the Record" ], [ "Dead Space 2" ], [ "Dead Space 3" ], [ "Dead Space 3" ], [ "Dead or Alive 5" ], [ "Dead or Alive 5" ], [ "Dead or Alive 5" ], [ "Dead or Alive Paradise" ], [ "Dead or Alive: Dimensions" ], [ "Dead to Rights: Retribution" ], [ "Dead to Rights: Retribution" ], [ "Deadliest Catch: Sea of Chaos" ], [ "Deadliest Catch: Sea of Chaos" ], [ "Deadliest Catch: Sea of Chaos" ], [ "Deadliest Warrior: Ancient Combat" ], [ "Deadliest Warrior: Ancient Combat" ], [ "Deadly Premonition" ], [ "Deadly Premonition" ], [ "Deadpool" ], [ "Deadpool" ], [ "Deal or No Deal: Special Edition" ], [ "Death Connection Portable" ], [ "DeathSmiles II" ], [ "Deca Sports 3" ], [ "Deca Sports Extreme" ], [ "Deception IV: Blood Ties" ], [ "Deception IV: Blood Ties" ], [ "Deepak Chopra's Leela" ], [ "Deepak Chopra's Leela" ], [ "Deer Drive" ], [ "Deer Drive: Legends" ], [ "Def Jam Rapstar" ], [ "Def Jam Rapstar" ], [ "Def Jam Rapstar" ], [ "Defiance" ], [ "Defiance" ], [ "Defiance" ], [ "Dementium II" ], [ "Demolition Company: Gold Edition" ], [ "Demon Gaze" ], [ "Demon Gaze 2" ], [ "Dengeki Bunko Fighting Climax" ], [ "Dengeki Bunko Fighting Climax" ], [ "Dengeki Gakuen RPG: Cross of Venus Special" ], [ "Dennou Senki Virtual-On Force" ], [ "Densetsu no Yuusha no Densetsu: Legendary Saga" ], [ "Densha de Go! Tokubetsu-hen: Fukkatsu Shouwa no Yamatesen" ], [ "Deponia" ], [ "Derby Stallion Gold" ], [ "Despicable Me: The Game" ], [ "Despicable Me: The Game" ], [ "Despicable Me: The Game" ], [ "Despicable Me: The Game - Minion Mayhem" ], [ "Detective Conan: Marionette Symphony" ], [ "Detective Conan: Phantom Rhapsody" ], [ "Detective Conan: Prelude from the Past" ], [ "Detective Conan: Prelude from the Past" ], [ "Detective Jinguuji Saburo: Ronde Revenge" ], [ "Detective Opera: Milky Holmes 2" ], [ "Deus Ex: Human Revolution" ], [ "Deus Ex: Human Revolution" ], [ "Devil May Cry HD Collection" ], [ "Devil May Cry HD Collection" ], [ "DiRT 3" ], [ "DiRT 3" ], [ "DiRT Showdown" ], [ "DiRT Showdown" ], [ "Diablo III" ], [ "Diabolik Lovers" ], [ "Diabolik Lovers: More Blood" ], [ "Diabolik Lovers: Vandead Carnival" ], [ "Diego's Build & Rescue" ], [ "Dies Irae: Amantes Amentes" ], [ "Digger Simulator" ], [ "Digging for Dinosaurs" ], [ "Digimon Adventure" ], [ "Digimon All-Star Rumble" ], [ "Digimon All-Star Rumble" ], [ "Digimon Story: Lost Evolution" ], [ "Digimon Story: Super Xros Wars Blue/Red" ], [ "Digimon World Re:Digitize" ], [ "Digimon World Re:Digitize Decode" ], [ "Disciples III: Renaissance" ], [ "Disgaea 4: A Promise Unforgotten" ], [ "Disgaea 4: A Promise Unforgotten" ], [ "Disgaea D2: A Brighter Darkness" ], [ "Disgaea Infinite" ], [ "Dishonored" ], [ "Disney Channel: All Star Party" ], [ "Disney Fairies: Tinker Bell and the Great Fairy Rescue" ], [ "Disney Guilty Party" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Infinity 2.0: Marvel Super Heroes" ], [ "Disney Magical World" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Planes Fire & Rescue" ], [ "Disney Princess: Enchanting Storybooks" ], [ "Disney Princess: Enchanting Storybooks" ], [ "Disney Sing It: Family Hits" ], [ "Disney Sing It: Family Hits" ], [ "Disney Sing It: Party Hits" ], [ "Disney Sing It: Party Hits" ], [ "Disney Tangled" ], [ "Disney Tangled" ], [ "Disney Universe" ], [ "Disney Universe" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Disney's Planes" ], [ "Dissidia 012: Duodecim Final Fantasy" ], [ "Divinity II: Flames of Vengeance" ], [ "Divinity II: The Dragon Knight Saga" ], [ "Divinity: Original Sin" ], [ "DmC: Devil May Cry" ], [ "DmC: Devil May Cry" ], [ "Do-Konjou Shougakussei: Bon Bita - Hadaka no Choujou Ketsusen!! Bita vs. Dokuro Dei!" ], [ "DoDonPachi Daifukkatsu: Black Label" ], [ "DoDonPachi Resurrection" ], [ "DoDonPachi Saidaioujou" ], [ "Doctor Lautrec and the Forgotten Knights" ], [ "Doctor Who: Evacuation Earth" ], [ "Doctor Who: Return to Earth" ], [ "Doki Doki! PreCure Narikiri Life!" ], [ "Doki-Doki Universe" ], [ "DokuSui: DokiDoki Suikoden" ], [ "Dokuro" ], [ "Dolly Kanon Dokidoki Tokimeki Himitsu no Ongaku Katsudou Start Desu!!" ], [ "Don Bradman Cricket 14" ], [ "Dood's Big Adventure" ], [ "Doom 3 BFG Edition" ], [ "Doom 3 BFG Edition" ], [ "Doom 3 BFG Edition" ], [ "Dora & Kai-Lan's Pet Shelter" ], [ "Dora's Big Birthday Adventure" ], [ "Dora's Big Birthday Adventure" ], [ "Dora's Big Birthday Adventure" ], [ "Dora's Cooking Club" ], [ "Doraemon: Nobita and the Island of Miracles" ], [ "Doraemon: Nobita to Himitsu Dougu Hakubutsukan" ], [ "Doraemon: Shin Nobita no Daimakyou Peko to 5-nin no Tankenta" ], [ "Dragon Age II" ], [ "Dragon Age II" ], [ "Dragon Age Origins: Awakening" ], [ "Dragon Age Origins: Awakening" ], [ "Dragon Age Origins: Awakening" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Inquisition" ], [ "Dragon Age: Origins - Ultimate Edition" ], [ "Dragon Ball Heroes: Ultimate Mission" ], [ "Dragon Ball Heroes: Ultimate Mission 2 " ], [ "Dragon Ball Kai: Ultimate Butouden" ], [ "Dragon Ball Z for Kinect" ], [ "Dragon Ball Z: Battle of Z" ], [ "Dragon Ball Z: Battle of Z" ], [ "Dragon Ball Z: Battle of Z" ], [ "Dragon Ball Z: Tenkaichi Tag Team" ], [ "Dragon Ball Z: Ultimate Tenkaichi" ], [ "Dragon Ball Z: Ultimate Tenkaichi" ], [ "Dragon Ball: Origins 2" ], [ "Dragon Ball: Raging Blast 2" ], [ "Dragon Ball: Raging Blast 2" ], [ "Dragon Quest 25 Shuunen Kinin: Famicom & Super Famicom Dragon Quest I-II-III" ], [ "Dragon Quest Monsters 2" ], [ "Dragon Quest Monsters: Battle Road Victory" ], [ "Dragon Quest Monsters: Joker 2 Professional" ], [ "Dragon Quest Monsters: Terry's Wonderland 3D" ], [ "Dragon Quest X" ], [ "Dragon Quest X" ], [ "Dragon Quest X" ], [ "Dragon's Crown" ], [ "Dragon's Crown" ], [ "Dragon's Dogma" ], [ "Dragon's Lair" ], [ "Dragon's Lair Trilogy" ], [ "Drakengard 3" ], [ "Dramatical Murder Re:code" ], [ "Drawn to Life Collection" ], [ "Dream C Club" ], [ "Dream C Club Portable" ], [ "Dream C Club Zero" ], [ "Dream C Club: GoGo " ], [ "Dream Chronicles" ], [ "Dream Club Zero Portable" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "DreamWorks Super Star Kartz" ], [ "Dreamcast Collection" ], [ "Dreamer Series: Zoo Keeper" ], [ "Dreamworks 2-in-1 Party Pack" ], [ "Driver: Renegade" ], [ "Driver: San Francisco" ], [ "Driver: San Francisco" ], [ "Driver: San Francisco" ], [ "Driver: San Francisco" ], [ "Driving Simulator 2011" ], [ "DualPenSports" ], [ "DuckTales: Remastered" ], [ "DuckTales: Remastered" ], [ "DuckTales: Remastered" ], [ "DuckTales: Remastered" ], [ "Duke Nukem Forever" ], [ "Duke Nukem Forever" ], [ "Duke Nukem Forever" ], [ "Duke Nukem Trilogy: Critical Mass" ], [ "Dunamis 15" ], [ "Dunamis 15" ], [ "Dungeon Defenders" ], [ "Dungeon Hunter Alliance" ], [ "Dungeon Siege III" ], [ "Dungeon Siege III" ], [ "Dungeon Siege III" ], [ "Dungeon Travelers 2: The Royal Library & The Monster Seal" ], [ "Dungeon Travelers 2: The Royal Library & The Monster Seal" ], [ "Dungeons" ], [ "Dungeons & Dragons: Neverwinter Nights - Complete" ], [ "Dungeons & Dragons: Shadow over Mystara" ], [ "Dungeons - The Dark Lord" ], [ "Durarara!! 3-way Standoff" ], [ "Durarara!! 3way Standoff: Alley" ], [ "Dynasty Warriors 7" ], [ "Dynasty Warriors 7" ], [ "Dynasty Warriors 7: Empires" ], [ "Dynasty Warriors 7: Xtreme Legends" ], [ "Dynasty Warriors 8" ], [ "Dynasty Warriors 8" ], [ "Dynasty Warriors 8: Empires" ], [ "Dynasty Warriors 8: Empires" ], [ "Dynasty Warriors 8: Empires" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors 8: Xtreme Legends" ], [ "Dynasty Warriors Next" ], [ "Dynasty Warriors Vs" ], [ "Dynasty Warriors: Gundam 3" ], [ "Dynasty Warriors: Gundam 3" ], [ "Dynasty Warriors: Gundam Reborn" ], [ "Dynasty Warriors: Gundam Reborn" ], [ "E.X. Troopers" ], [ "E.X. Troopers" ], [ "EA Sports Active 2" ], [ "EA Sports Active 2" ], [ "EA Sports Active NFL Training Camp" ], [ "EA Sports MMA" ], [ "EA Sports MMA" ], [ "EA Sports UFC" ], [ "ESA Game Pack" ], [ "ESPN: Sports Connection" ], [ "Earth Defense Force 2017 Portable" ], [ "Earth Defense Force 2025" ], [ "Earth Defense Force 2025" ], [ "Earth Defense Force 2: Invaders from Planet Space" ], [ "Earth Defense Force 2: Invaders from Planet Space" ], [ "Earth Defense Force: Insect Armageddon" ], [ "Earth Defense Force: Insect Armageddon" ], [ "Earth Seeker" ], [ "East India Company Collection" ], [ "Edna & Harvey: Harvey's New Eyes" ], [ "Eigo de Tabisuru: Little Charo" ], [ "El Shaddai: Ascension of the Metatron" ], [ "El Shaddai: Ascension of the Metatron" ], [ "Elkrone no Atelier: Dear for Otomate" ], [ "Elminage Gothic: Ulm Zakir to Yami no Gishiki" ], [ "Elminage II DS Remix: Sousei no Megami to Unmai no Daichi" ], [ "Elminage III: Ankoku no Shito to Yaiyou no Kyuuden" ], [ "Elminage Original: Majo to Megami to Kamigami no Yubiwa" ], [ "Elven Legacy Collection" ], [ "Emergency 2012" ], [ "Emergency 2012" ], [ "Emily Archer and the Curse of Tutankhamun" ], [ "Emily the Strange: Strangerous" ], [ "End of Nations" ], [ "Enemy Front" ], [ "Enemy Front" ], [ "Enslaved: Odyssey to the West" ], [ "Enslaved: Odyssey to the West" ], [ "Entaku no Seito: Students of Round" ], [ "Entaku no Seito: The Eternal Legend" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey 2: The Power of Two" ], [ "Epic Mickey: Power of Illusion" ], [ "Escape Dead Island" ], [ "Escape Dead Island" ], [ "Escape The Museum" ], [ "Escape the Emerald Star" ], [ "Espgaluda II Black Label" ], [ "Etrian Odyssey 2 Untold: Knight of Fafnir" ], [ "Etrian Odyssey II: Heroes of Lagaard" ], [ "Etrian Odyssey III: The Drowned City" ], [ "Etrian Odyssey IV: Legends of the Titans" ], [ "Etrian Odyssey Untold: The Millennium Girl" ], [ "Eureka Seven AO: Jungfrau no Hanabanatachi" ], [ "Euro Truck Simulator 2" ], [ "Even in a Game Listen to Me Girls. I Am Your Father!" ], [ "EverQuest II: Destiny of Velious" ], [ "Everybody Dance" ], [ "ExerBeat" ], [ "Exstetra" ], [ "Exstetra" ], [ "EyePet" ], [ "EyePet & Friends" ], [ "F.E.A.R. 3" ], [ "F.E.A.R. 3" ], [ "F.E.A.R. 3" ], [ "F1 2010" ], [ "F1 2010" ], [ "F1 2011" ], [ "F1 2011" ], [ "F1 2011" ], [ "F1 2011" ], [ "F1 2012" ], [ "F1 2012" ], [ "F1 2013" ], [ "F1 2013" ], [ "F1 2014" ], [ "F1 2014" ], [ "F1 2014" ], [ "F1 Race Stars" ], [ "F1 Race Stars" ], [ "F1 Race Stars" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 12" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 14" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA 15" ], [ "FIFA Manager 12" ], [ "FIFA Soccer" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 11" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Soccer 13" ], [ "FIFA Street" ], [ "FabStyle" ], [ "FabStyle" ], [ "Fable" ], [ "Fable III" ], [ "Fable: The Journey" ], [ "FairlyLife: MiracleDays" ], [ "Fairy Fencer F" ], [ "Fairy Tail: Portable Guild" ], [ "Fairy Tail: Portable Guild 2" ], [ "Fairy Tail: Zelef Kakusei" ], [ "Family Feud Decades" ], [ "Family Feud: 2012 Edition" ], [ "Family Feud: 2012 Edition" ], [ "Family Game Night 4: The Game Show" ], [ "Family Game Night 4: The Game Show" ], [ "Family Game Night 4: The Game Show" ], [ "Family Guy: Back to the Multiverse" ], [ "Family Guy: Back to the Multiverse" ], [ "Family Party: 30 Great Games Winter Fun" ], [ "Family Party: 90 Great Games Party Pack" ], [ "Family Party: Fitness Fun" ], [ "Family Trainer: Treasure Adventure" ], [ "Fancy Nancy: Tea Party Time!" ], [ "Fantasia: Music Evolved" ], [ "Fantasia: Music Evolved" ], [ "Fantastic Pets" ], [ "Far Cry 3" ], [ "Far Cry 4" ], [ "Far Cry 4" ], [ "Farm Frenzy 3" ], [ "Farming Simulator 2011" ], [ "Farming Simulator 2012" ], [ "Farming Simulator 2013" ], [ "Farming Simulator 2013" ], [ "Farming Simulator 2013" ], [ "Farming Simulator 2014" ], [ "Farmtopia" ], [ "Fast & Furious: Showdown" ], [ "Fast & Furious: Showdown" ], [ "Fast Food Panic" ], [ "Fat Princess: Fistful of Cake" ], [ "Fatal Frame 2: Wii Edition" ], [ "Fatal Frame: Maiden of Black Water" ], [ "Fate/Extra" ], [ "Fate/Extra CCC" ], [ "Fate/Stay Night [Réalta Nua]" ], [ "Fate/hollow ataraxia" ], [ "Fate/kaleid liner Prisma Illya" ], [ "Field & Stream: Total Outdoorsman Challenge" ], [ "Fight Night Champion" ], [ "Fighter Within" ], [ "Fighters Uncaged" ], [ "Final Fantasy Explorers" ], [ "Final Fantasy III" ], [ "Final Fantasy IV: The Complete Collection" ], [ "Final Fantasy Type-0" ], [ "Final Fantasy X / X-2 HD Remaster" ], [ "Final Fantasy XIII-2" ], [ "Final Fantasy XIV: A Realm Reborn" ], [ "Fire Emblem: Shin Monshou no Nazo Hikari to Kage no Eiyuu" ], [ "Fishdom" ], [ "Fishdom 2 Deluxe" ], [ "Fishing Resort" ], [ "Fist of the North Star: Ken's Rage" ], [ "Fist of the North Star: Ken's Rage" ], [ "Fist of the North Star: Ken's Rage 2" ], [ "Fist of the North Star: Ken's Rage 2" ], [ "Fist of the North Star: Ken's Rage 2" ], [ "Fit in Six" ], [ "Fit in Six" ], [ "FlingSmash" ], [ "Football Manager 2012" ], [ "Football Manager 2014" ], [ "Football Manager 2014" ], [ "Football Manager 2015" ], [ "Football Manager Handheld 2011" ], [ "Fortune Street" ], [ "Forza Horizon 2" ], [ "Forza Motorsport 3: Ultimate Edition" ], [ "Fossil Fighters: Champions" ], [ "Fossil Fighters: Frontier" ], [ "Foto Showdown" ], [ "Freedom Wars" ], [ "Frogger 3D" ], [ "Front Mission Evolved" ], [ "Front Mission Evolved" ], [ "Front Mission Evolved" ], [ "Frontier Gate" ], [ "Fujiko F. Fujio Characters: Great Assembly! Slightly Fantastic Slapstick Party" ], [ "Funky Barn" ], [ "Fuse (Insomniac)" ], [ "Fuse (Insomniac)" ], [ "Fushigi no Dungeon: Fuurai no Shiren 3 Portable" ], [ "Fushigi no Dungeon: Fuurai no Shiren 5 - Fortune Tower to Unmei no Dice" ], [ "G1 Grand Prix" ], [ "GA - Geijutsuka Art Design Class: Slapstick Wonder Land" ], [ "GRID 2" ], [ "GRID 2" ], [ "GRID 2" ], [ "GRID Autosport" ], [ "GRID Autosport" ], [ "GRID Autosport" ], [ "GTI Club: Supermini Festa!" ], [ "Gabrielle's Ghostly Groove 3D" ], [ "GachiTora! Abarenbou Kyoushi in High School" ], [ "Gaist Crusher" ], [ "Gaist Crusher God" ], [ "Gaku ? Ou: The Royal Seven Stars" ], [ "Gakuen Hetalia" ], [ "Gakuen Hetalia Portable" ], [ "Gakuen K: Wonderful School Days" ], [ "Gal Gun" ], [ "Gal*Gun" ], [ "Galactic Taz Ball" ], [ "Galaxy Racers" ], [ "Game & Wario" ], [ "Game Center CX: 3-Choume no Arino" ], [ "Game Hits!" ], [ "Game Party in Motion" ], [ "Game Party: Champions" ], [ "Game of Thrones" ], [ "Game of Thrones" ], [ "Game of Thrones" ], [ "Games Around the World" ], [ "Gekiatsu!! Pachi Game Tamashi Max: Evangelion 7 x Seimei no Kodou" ], [ "Gekiatsu!! Pachi Game Tamashi Vol. 1: CR Evangelion - Shinjitsu no Tsubasa" ], [ "Gekiatsu!! Pachi Game Tamashi Vol. 2: CR Evangelion - Shinjitsu no Tsubasa" ], [ "Gekiatsu!! Pachi Game Tamashi: CR Evangelion - Hajimari no Fukuin" ], [ "Gekijouban Macross F: Itsuwarino Utahime - Hybrid Pack" ], [ "Gekijouban Macross F: Sayonara no Tsubasa - Hybrid Pack" ], [ "Gekijouban Madoka Magicka: The Battle Pentagram" ], [ "Gekka Ryouran Romance" ], [ "Gem Quest: 4 Elements" ], [ "Gem Smashers" ], [ "Gem Smashers" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Generator Rex: Agent of Providence" ], [ "Genkai Tokki Monster Monpiece" ], [ "Genkai Totsuki Moero Chronicle" ], [ "Genroh" ], [ "Germany's Next Topmodel 2011" ], [ "Germany's Next Topmodel 2011" ], [ "Get Fit with Mel B" ], [ "Get Fit with Mel B" ], [ "Get Up and Dance" ], [ "Get Up and Dance" ], [ "Geten no Hana" ], [ "Geten no Hana: Yume Akari" ], [ "Getsuei Gakuen: kou" ], [ "Ghost Trick: Phantom Detective" ], [ "Ghostbusters: The Video Game (DS Version)" ], [ "Ginga Tetsudou 999 DS" ], [ "Gintama no Sugoroku" ], [ "Girls Only" ], [ "Girls RPG: Cinderellife" ], [ "Girls und Panzer: I Will Master Tankery" ], [ "Gladiator Begins" ], [ "Gloria Union" ], [ "GoGo's Crazy Bones" ], [ "God Eater" ], [ "God Eater 2" ], [ "God Eater 2" ], [ "God of War Collection" ], [ "God of War Saga" ], [ "God of War: Ghost of Sparta" ], [ "God of War: Origins Collection" ], [ "Gods Eater Burst" ], [ "Godzilla (2014)" ], [ "Godzilla (2015)" ], [ "Gokujou!! Mecha Mote Iinchou: MM My Best Friend!" ], [ "Gold's Gym: Dance Workout" ], [ "Golden Sun: Dark Dawn" ], [ "Golden Time: Vivid Memories" ], [ "GoldenEye 007 (2010)" ], [ "Goldeneye 007: Reloaded" ], [ "Goldeneye 007: Reloaded" ], [ "Gon: BakuBakuBakuBaku Adventure" ], [ "Goodbye Deponia" ], [ "Gormiti: The Lords of Nature!" ], [ "Gormiti: The Lords of Nature!" ], [ "Gotouchi Tetsudou: Gotouchi Chara to Nihon Zenkoku no Tabi" ], [ "Gotouchi Tetsudou: Gotouchi Chara to Nihon Zenkoku no Tabi" ], [ "Grand Knights History" ], [ "Grand Slam Tennis 2" ], [ "Grand Slam Tennis 2" ], [ "Gravity Rush" ], [ "Gray Matter" ], [ "Gray Matter" ], [ "Grease" ], [ "Grease" ], [ "Grease Dance" ], [ "Grease Dance" ], [ "Great Battle Full Blast" ], [ "Great Edo Blacksmith" ], [ "Great Party Games" ], [ "Green Day: Rock Band" ], [ "Green Day: Rock Band" ], [ "Green Day: Rock Band" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Green Lantern: Rise of the Manhunters" ], [ "Greg Hastings Paintball 2" ], [ "Greg Hastings Paintball 2" ], [ "Greg Hastings Paintball 2" ], [ "Grisaia no Kajitsu: La Fruit de la Grisaia" ], [ "Grisaia no Meikyuu: Le Labyrinthe de la Grisaia" ], [ "Grisaia no Rakuen: Le Eden de la Grisaia" ], [ "Growlanser IV: Over Reloaded" ], [ "Guild 01" ], [ "Guilty Gear Xrd: Sign" ], [ "Guilty Gear Xrd: Sign" ], [ "Guitar Hero: Warriors of Rock" ], [ "Guitar Hero: Warriors of Rock" ], [ "Guitar Hero: Warriors of Rock" ], [ "Gummy Bears Magical Medallion" ], [ "Gummy Bears Mini Golf" ], [ "Gummy Bears Mini Golf" ], [ "Gunblade NY & L.A. Machineguns Arcade Hits Pack" ], [ "Gundam Assault Survive" ], [ "Gundam Breaker" ], [ "Gundam Breaker" ], [ "Gundam Breaker 2" ], [ "Gundam Breaker 2" ], [ "Gundam Memories: Tatakai no Kioku" ], [ "Gundam Try Age SP" ], [ "Gundam the 3D Battle" ], [ "Gungnir: Mayari no Gunshin to Eiyuu Sensou" ], [ "Gunslingers" ], [ "HOP" ], [ "Hagane no Renkinjutsushi - Fullmetal Alchemist: Yakusoku no Hi e" ], [ "Haikyuu!! Tsunage! Itadaki no Keshiki!!" ], [ "Hajime no Ippo: The Fighting! (2014)" ], [ "Hakuoki: Reimeiroku DS" ], [ "Hakuoki: Stories of the Shinsengumi" ], [ "Hakuouki DS" ], [ "Hakuouki SSL: Sweet School Life" ], [ "Hakuouki: Bakumatsu Musou Roku" ], [ "Hakuouki: Reimeiroku" ], [ "Hakuouki: Reimeiroku Portable" ], [ "Hakuouki: Yuugi Roku" ], [ "Hakuouki: Yuugi Roku DS" ], [ "Hakuouki: Yuugi Roku Ni - Matsuri Hayashi to Taishitachi" ], [ "Hakuouki: Zuisouroku DS" ], [ "Hakuouki: Zuisouroku Portable" ], [ "Hallowed Legends: Samhain" ], [ "Hana to Ikimo no Rittai Zukan" ], [ "Hana to Otome ni Shukufuku o: Harekaze no Okurimono" ], [ "Hanaoni: Koisomeru Koku - Eikyuu no Shirushi" ], [ "Hanaoni: Yume no Tsudzuki" ], [ "Hanasaku Manimani" ], [ "Hanayaka Kana, Ware ga Ichizoku" ], [ "Hanayaka Kana, Ware ga Ichizoku Twin Pack" ], [ "Hanayaka Kana, Ware ga Ichizoku: Tasogare Polarstar" ], [ "Hanayamata: Yosakoi Live" ], [ "HappinessCharge PreCure! Kawarun Collection" ], [ "Happy Feet Two" ], [ "Harley-Davidson: Road Trip" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 1" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harry Potter and the Deathly Hallows - Part 2" ], [ "Harukanaru Toki no Naka de 4: Aizouban" ], [ "Harukanaru Toki no Naka de 5" ], [ "Harukanaru Toki no Naka de 5: Kazahanaki" ], [ "Harvest Moon 3D: A New Beginning" ], [ "Harvest Moon: The Lost Valley" ], [ "Harvest Moon: The Tale of Two Towns" ], [ "Hasbro Family Game Night 3" ], [ "Hasbro Family Game Night 3" ], [ "Hasbro Family Game Night 3" ], [ "Hasbro Family Game Night Fun Pack" ], [ "Hasbro Family Game Night Fun Pack" ], [ "HatsuKare * Renai Debut Sengen!" ], [ "Hatsune Miku and Future Stars: Project Mirai" ], [ "Hatsune Miku: Project Diva 2nd" ], [ "Hatsune Miku: Project Diva Extend" ], [ "Hatsune Miku: Project Diva F 2nd" ], [ "Hatsune Miku: Project Diva F 2nd" ], [ "Hatsune Miku: Project Diva f" ], [ "Hatsune Miku: Project Diva f" ], [ "Hatsune Miku: Project Mirai 2" ], [ "Haunted House" ], [ "Heart Catch PreCure! Oshare Collection" ], [ "Heart no Kuni no Alice Anniversary Ver.: Wonderful Wonder World" ], [ "Heart no Kuni no Alice: Wonderful Twin World" ], [ "Heathcliff! Frantic Foto" ], [ "Heathcliff! The Fast and the Furriest" ], [ "Heavy Fire: Afghanistan" ], [ "Heavy Fire: Afghanistan" ], [ "Heavy Fire: Afghanistan" ], [ "Heavy Fire: The Chosen Few 3D" ], [ "Hello Kitty Seasons" ], [ "Hello Kitty: Birthday Adventures" ], [ "Hero Bank" ], [ "Hero Bank 2" ], [ "Heroes Phantasia" ], [ "Heroes VS" ], [ "Heroes of Hellas 2: Olympia" ], [ "Heroes of Ruin" ], [ "Hidden Mysteries: Buckingham Palace" ], [ "Hidden Mysteries: Salem Secrets - Witch Trials of 1692" ], [ "Hidden Mysteries: Vampire Secrets" ], [ "High Velocity Bowling" ], [ "Higurashi no Naku Koro ni Kizuna: Dai-Yon-Kan - Kizuna" ], [ "Hiiro no Kakera: Shin Tamayori Hime Denshou - Piece of Future" ], [ "Hiiro no Kakera: Shin Tamayori Hime Denshou Portable" ], [ "Himawari: Pebble in the Sky Portable" ], [ "Hisshou Pachinko * Pachi-Slot Kouryaku Series Portable Vol. 2: CR Evangelion - Hajimari no Fukuin" ], [ "Hisshou Pachinko*Pachi-Slot Kouryaku Series DS Vol. 5: Shinseiki Evangelion - Tamashii no Kiseki" ], [ "Hisshou Pachinko*Pachi-Slot Kouryaku Series Portable Vol. 1: Shinseiki Evangelion - Tamashii no Kiseki" ], [ "Hitman: Absolution" ], [ "Hitman: HD Trilogy" ], [ "Hitman: HD Trilogy" ], [ "Hole in the Wall: Deluxe Edition" ], [ "Hollywood Squares" ], [ "Homefront" ], [ "Homefront" ], [ "Hometown Story" ], [ "Honda ATV Fever" ], [ "Honda ATV Fever" ], [ "Hoppechan: Minna de Odekake! Waku Waku Hoppe Land!!" ], [ "Hoppechan: Tsukutte! Asonde! Punipuni Town!!" ], [ "Hoppie" ], [ "Horrid Henry's Horrid Adventure" ], [ "Horrid Henry: Missions of Mischief" ], [ "Horrid Henry: Missions of Mischief" ], [ "Horrid Henry: The Good, The Bad and The Bugly" ], [ "Horses 3D" ], [ "Hot Shots Golf: World Invitational" ], [ "Hot Shots Golf: World Invitational" ], [ "Hot Shots Tennis: Get a Grip" ], [ "Hot Wheels: Track Attack" ], [ "Hot Wheels: Track Attack" ], [ "House M.D." ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "How to Train Your Dragon 2" ], [ "Hudson x GReeeeN Live!? DeeeeS!?" ], [ "Hulk Hogan's Main Event" ], [ "Hunted: The Demon's Forge" ], [ "Hunted: The Demon's Forge" ], [ "Hunted: The Demon's Forge" ], [ "Hunter x Hunter: Wonder Adventure" ], [ "Hyakki Yagyou Kaidan Romance" ], [ "Hyakumanton no Bara Bara" ], [ "Hyperdevotion Noire: Goddess Black Heart" ], [ "Hyperdimension Idol Neptunia PP" ], [ "Hyperdimension Neptunia" ], [ "Hyperdimension Neptunia" ], [ "Hyperdimension Neptunia Re;Birth 2" ], [ "Hyperdimension Neptunia Re;Birth 3" ], [ "Hyperdimension Neptunia U: Action Unleashed" ], [ "Hyperdimension Neptunia Victory" ], [ "Hyperdimension Neptunia Victory" ], [ "Hyperdimension Neptunia mk2" ], [ "I Am In The Movie" ], [ "I Am In The Movie" ], [ "I Don't Have Many Friends Portable" ], [ "I Heart Geeks" ], [ "I Love Horses: Rider's Paradise" ], [ "I Love Puppies" ], [ "I Spy: Castle" ], [ "I Spy: Spooky Mansion" ], [ "I Spy: Universe" ], [ "ICO" ], [ "IGT Slots: Lucky Larry's Lobstermania" ], [ "IL-2 Sturmovik: Cliffs of Dover" ], [ "Ikki Tousen: Xross Impact" ], [ "Imagine Animal Doctor Care Center" ], [ "Imagine: Fashion Designer" ], [ "Imagine: Fashion Stylist" ], [ "Imagine: Reporter" ], [ "Imagine: Resort Owner" ], [ "Imagine: Sweet 16" ], [ "Inazuma Eleven 3" ], [ "Inazuma Eleven 3" ], [ "Inazuma Eleven GO" ], [ "Inazuma Eleven GO 3: Galaxy" ], [ "Inazuma Eleven GO Strikers 2013" ], [ "Inazuma Eleven Go 2: Chrono Stone" ], [ "Inazuma Eleven Strikers" ], [ "Inazuma Eleven Strikers 2012 Xtreme" ], [ "Infamous: First Light" ], [ "Infinite Stratos 2: Ignition Hearts" ], [ "Infinite Stratos 2: Ignition Hearts" ], [ "Injustice: Gods Among Us" ], [ "Injustice: Gods Among Us" ], [ "Injustice: Gods Among Us" ], [ "Instant Brain" ], [ "International Cricket 2010" ], [ "International Cricket 2010" ], [ "Inversion" ], [ "Inversion" ], [ "Invizimals: Shadow Zone" ], [ "Invizimals: The Alliance" ], [ "Invizimals: The Lost Kingdom" ], [ "Invizimals: The Lost Tribes" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Iron Man 2" ], [ "Ishin Renka: Ryouma Gaiden" ], [ "Ishin no Arashi: Shippuu Ryuumeden" ], [ "Isshoni Gohan. Portable" ], [ "Ivy the Kiwi?" ], [ "Ivy the Kiwi?" ], [ "Iza, Shutsujin! Koisen" ], [ "J Legend Retsuden" ], [ "J Stars Victory Vs." ], [ "J Stars Victory Vs." ], [ "J-League Pro Soccer Club o Tsukurou! 7 Euro Plus" ], [ "J-League Winning Eleven 2010: Club Championship" ], [ "J.League Pro Soccer Club o Tsukurou! 8 Euro Plus" ], [ "JASF: Jane's Advanced Strike Fighters" ], [ "JASF: Jane's Advanced Strike Fighters" ], [ "JASF: Jane's Advanced Strike Fighters" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Blood Stone" ], [ "James Bond 007: Legends" ], [ "James Bond 007: Legends" ], [ "James Bond 007: Legends" ], [ "James Noir's Hollywood Crimes" ], [ "Jane's Hotel" ], [ "Jaws: Ultimate Predator" ], [ "Jaws: Ultimate Predator" ], [ "Jeopardy!" ], [ "Jeopardy!" ], [ "Jerry Rice and Nitus' Dog Football" ], [ "Jewel Legends: Tree of Life" ], [ "Jewel Link Chronicles: Legend of Athena" ], [ "Jewel Master: Cradle Of Rome 2" ], [ "Jewel Master: Cradle Of Rome 2" ], [ "Jewel Master: Cradle of Athena" ], [ "Jewel Master: Cradle of Persia" ], [ "Jewel Match" ], [ "Jewel Match 2" ], [ "Jewel Quest 5: The Sleepless Star" ], [ "Jewel Quest 5: The Sleepless Star" ], [ "Jewel Quest IV: Heritage" ], [ "Jewel Quest Mysteries 2: Trail of the Midnight Heart" ], [ "Jewel Quest Mysteries: Curse of the Emerald Tear" ], [ "Jewel Time Deluxe" ], [ "Jewels of the Ages" ], [ "Jewels of the Tropical Lost Island" ], [ "Jikandia: The Timeless Land" ], [ "Jikkyou Powerful Pro Yakyuu 2010" ], [ "Jikkyou Powerful Pro Yakyuu 2010" ], [ "Jikkyou Powerful Pro Yakyuu 2011" ], [ "Jikkyou Powerful Pro Yakyuu 2011" ], [ "Jikkyou Powerful Pro Yakyuu 2011 Ketteiban" ], [ "Jikkyou Powerful Pro Yakyuu 2011 Ketteiban" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2012" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2013" ], [ "Jikkyou Powerful Pro Yakyuu 2014" ], [ "Jikkyou Powerful Pro Yakyuu 2014" ], [ "Jillian Michaels Fitness Ultimatum 2011" ], [ "Jillian Michaels' Fitness Adventure" ], [ "Jimmie Johnson's Anything With an Engine" ], [ "Jimmie Johnson's Anything With an Engine" ], [ "Jimmie Johnson's Anything With an Engine" ], [ "Jinguuji Saburou DS: Akai Chou" ], [ "Jissen Pachislot Secrets! 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Vol. 2" ], [ "Juusanshi Engi Engetsu Sangokuden 2" ], [ "Jyuzaengi: Engetsu Sangokuden" ], [ "K-ON! Houkago Live!!" ], [ "K-On! After School Live!! HD Ver." ], [ "Kadenz fermata//Akkord:fortissimo" ], [ "Kaidan Restaurant: Ura Menu 100-Sen" ], [ "Kaidan Restaurant: Zoku! Shin Menu 100-Sen" ], [ "Kaijuu Busters Powered" ], [ "Kaitou Tenshi Twin Angel: Toki to Sekai no Meikyuu" ], [ "Kaizoku Sentai Gokaiger: Atsumete Henshin! 35 Sentai!" ], [ "Kamen Rider Battle: Ganbaride" ], [ "Kamen Rider: Battride War" ], [ "Kamen Rider: Battride War II" ], [ "Kamen Rider: Battride War II" ], [ "Kamen Rider: Travelers Senki" ], [ "Kami Naru Kimi to" ], [ "Kamigami no Asobi" ], [ "Kana: Imouto" ], [ "Kane & Lynch 2: Dog Days" ], [ "Kane & Lynch 2: Dog Days" ], [ "Kane & Lynch 2: Dog Days" ], [ "Kannou Mukashi Banashi Portable" ], [ "Karaoke Joysound Wii Super DX: Hitori de Minna de Utai Houdai!" ], [ "Karaoke Revolution Glee" ], [ "Karaoke Revolution Glee 2: Road to Regionals" ], [ "Karaoke Revolution Glee: Volume 3" ], [ "Karaoke Revolution Glee: Volume 3" ], [ "Katekyoo Hitman Reborn! DS Fate of Heat III - Yuki no Shugosha Raishuu!" ], [ "Katekyoo Hitman Reborn! DS Flame Rumble XX - Kessen! Shin 6 Chouka" ], [ "Katekyoo Hitman Reborn! Kizuna no Tag Battle" ], [ "Kawaii Koinu DS 3" ], [ "Kazoku Keikaku" ], [ "Ken to Mahou to Gakuen Mono. 2G" ], [ "Ken to Mahou to Gakuen Mono. 3" ], [ "Ken to Mahou to Gakuen Mono. 3" ], [ "Ken to Mahou to Gakuen Mono. 3D" ], [ "Ken to Mahou to Gakuen Mono. Final: Shinnyusei wa Ohimesama" ], [ "Kenka Bancho Bros: Tokyo Battle Royale" ], [ "Kenka Banchou 4: Ichinen Sensou" ], [ "Kenka Banchou 5: Otoko no Housoku" ], [ "Keroro RPG: Kishi to Musha to Densetsu no Kaizoku" ], [ "Keshisasu-Kun: Battle Kas-tival" ], [ "Ketsui: Kizuna Jigoku Tachi Extra" ], [ "Kevin Van Dam: Big Bass Challenge" ], [ "Kid Adventures: Sky Captain" ], [ "Kid Fit Island Resort" ], [ "Kidou Senshi Gundam Seed Battle Destiny" ], [ "Kidou Senshi Gundam UC" ], [ "Kidou Senshi Gundam: Extreme VS" ], [ "Kidou Senshi Gundam: Shin Gihren no Yabou" ], [ "Kids Learn Math: A+ Edition" ], [ "Kids Learn Music A+ Edition" ], [ "Kidz Bop Dance Party! The Video Game" ], [ "Killer Instinct (2013)" ], [ "Killer is Dead" ], [ "Killer is Dead" ], [ "Killzone: Mercenary" ], [ "Kimi ni Todoke: Tsutaeru Kimochi" ], [ "Kimikare: New Semester" ], [ "Kinect Rush: A Disney Pixar Adventure" ], [ "Kinect Sports Rivals" ], [ "Kinectimals: Now with Bears!" ], [ "King Arthur II" ], [ "King of Fighters 2002: Unlimited Match Tougeki Ver." ], [ "Kingdom Hearts Re:coded" ], [ "Kingdom Hearts: Birth by Sleep - Final Mix" ], [ "Kingdom: Ikkitousen no Ken" ], [ "Kingdoms of Amalur: Reckoning" ], [ "Kingdoms of Amalur: Reckoning" ], [ "Kingdoms of Amalur: Reckoning" ], [ "Kiniro no Corda 3" ], [ "Kiniro no Corda 3" ], [ "Kirby's Dream Collection: Special Edition" ], [ "Kirby: Mass Attack" ], [ "Kiss Bell" ], [ "Knights Contract" ], [ "Knights Contract" ], [ "Knights in the Nightmare" ], [ "Kobitodzukan: Kobito Kansatsu Set" ], [ "Kobitodzukan: Kobito no Fushigi - Jikken Set" ], [ "Kochira Katsushikaku Kameari Kouenmae Hashutsujo: Machiteba Tengoku! Makereba Jigoku! Ryoutsuryuu Ikkakusenkin Daisakusen!" ], [ "Koi Sentai Love & Peace the P.S.P: Power Zenkai! Special Youso Tenkomori de Portable Ka Daisakusen de Aru!" ], [ "Koi to Senkyo to Chocolate Portable" ], [ "Koisuru Otome to Shugo no Tate Portable" ], [ "Kokoro Connect: Yochi Random" ], [ "Kokoro no Kokoron" ], [ "Kuma no Pooh-San: 100 Acre no Mori no Cooking Book" ], [ "Kuma-Tomo" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Panda 2" ], [ "Kung Fu Rider" ], [ "Kung Zhu" ], [ "Kung-Fu: High Impact" ], [ "Kurohyou 2: Ryu ga Gotoku Ashura Hen" ], [ "Kurohyou: Ryu ga Gotoku Shinshou" ], [ "Kuroko's Basketball: Miracle Game" ], [ "Kuroko's Basketball: Miracle Game" ], [ "Kyokugen Dasshutsu ADV: Zennin Shiboudesu" ], [ "Kyokugen Dasshutsu ADV: Zennin Shiboudesu" ], [ "Kyoukai Senjou no Horizon Portable" ], [ "L.A. Noire: The Complete Edition" ], [ "L.G.S: Shinsetsu Houshinengi" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Batman 2: DC Super Heroes" ], [ "LEGO Friends" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 1-4" ], [ "LEGO Harry Potter: Years 5-7" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Legends of Chima: Laval's Journey" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Marvel Super Heroes" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Pirates of the Caribbean: The Video Game" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO Star Wars III: The Clone Wars" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Hobbit" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "LEGO The Lord of the Rings" ], [ "Labyrinth Cross Blood: Infinity" ], [ "Lalaloopsy" ], [ "Lara Croft and the Temple of Osiris" ], [ "Lara Croft and the Temple of Osiris" ], [ "Last Escort: Club Katze" ], [ "Last Escort: Club Katze" ], [ "Last Ranker" ], [ "Last Rebellion" ], [ "Last Window: The Secret of Cape West" ], [ "Learn Science" ], [ "Learning to Spell" ], [ "Legasista" ], [ "Legend of Kay" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legend of the Guardians: The Owls of Ga'Hoole" ], [ "Legends of Oz: Dorothy's Return" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Lego Batman 3: Beyond Gotham" ], [ "Let's Cheer" ], [ "Let's Dance with Mel B" ], [ "Let's Dance with Mel B" ], [ "Let's Dance with Mel B" ], [ "Let's Paint" ], [ "Let's Play Ballerina" ], [ "Let's Play Ballerina" ], [ "Let's Play Flight Attendant" ], [ "Let's Play Garden" ], [ "Let's Play Garden" ], [ "Lightning Returns: Final Fantasy XIII" ], [ "Lilpri DS: Hime-Chen! Apple Pink" ], [ "Lips: I Love The 80s" ], [ "Lips: Party Classics" ], [ "Little Battlers eXperience W" ], [ "Little Battlers eXperience W" ], [ "Little Battlers eXperience W" ], [ "Little Battlers eXperience: Baku Boost" ], [ "Little Battlers eXperience: Wars" ], [ "Little Busters! Converted Edition" ], [ "Little Busters! Converted Edition" ], [ "Little Deviants" ], [ "Little League World Series Baseball 2010" ], [ "Little League World Series Baseball 2010" ], [ "Little League World Series Baseball: Double Play" ], [ "Little League World Series Baseball: Double Play" ], [ "LittleBigPlanet 3" ], [ "LittleBigPlanet Karting" ], [ "Littlest Pet Shop 3: Biggest Stars - Blue / Pink / Purple Team" ], [ "Living Legends: Frozen Beauty" ], [ "Livly Garden" ], [ "Lollipop Chainsaw" ], [ "Lollipop Chainsaw" ], [ "London 2012: The Official Video Game of the Olympic Games" ], [ "London 2012: The Official Video Game of the Olympic Games" ], [ "Lord of Apocalypse" ], [ "Lord of Apocalypse" ], [ "Lord of Arcana" ], [ "Lord of Magna: Maiden Heaven" ], [ "Lords of the Fallen" ], [ "Lords of the Fallen" ], [ "Lords of the Fallen" ], [ "Lost Dimension" ], [ "Lost Dimension" ], [ "Lost Heroes" ], [ "Lost Heroes" ], [ "Lost Horizon" ], [ "Lost Planet 2" ], [ "Lost Planet 2" ], [ "Lost Planet 2" ], [ "Lost Planet 3" ], [ "Lost Planet 3" ], [ "Lost Planet 3" ], [ "Lost in Shadow" ], [ "Love Live! School Idol Paradise" ], [ "Love Once: Mermaid's Tears" ], [ "Love Plus +" ], [ "Lovely Lisa and Friends" ], [ "Loving Life with Hello Kitty & Friends" ], [ "Lucha Libre AAA: Heroes del Ring" ], [ "Lucha Libre AAA: Heroes del Ring" ], [ "Lucian Bee's: Justice Yellow / Evil Violet" ], [ "Lufia: Curse of the Sinistrals" ], [ "Lumines: Electronic Symphony" ], [ "Lupin Sansei: Shijou Saidai no Zunousen" ], [ "MLB 10: The Show" ], [ "MLB 10: The Show" ], [ "MLB 10: The Show" ], [ "MLB 11: The Show" ], [ "MLB 11: The Show" ], [ "MLB 11: The Show" ], [ "MLB 12: The Show" ], [ "MLB 12: The Show" ], [ "MLB 13: The Show" ], [ "MLB 13: The Show" ], [ "MLB 14: The Show" ], [ "MLB 14: The Show" ], [ "MLB 14: The Show" ], [ "MLB 2K12 / NBA 2K12 Combo Pack" ], [ "MX vs. ATV Supercross" ], [ "MX vs. ATV Supercross" ], [ "MX vs. ATV: Alive" ], [ "MX vs. ATV: Alive" ], [ "Machi-Ing Maker 3 x Tousouchuu" ], [ "Machi-ing Maker 4" ], [ "Macross 30: Ginga o Tsunagu Utagoe" ], [ "Macross Triangle Frontier" 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League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K10" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K11" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K12" ], [ "Major League Baseball 2K13" ], [ "Major League Baseball 2K13" ], [ "Makai Senki Disgaea 4: Fuuka & Desco-hen Hajime Mashita" ], [ "Makai Shin Trillion" ], [ "Making History: The Great War" ], [ "Making History: The Great War" ], [ "Mame Goma: Shiro to Kuro no Meikyuu" ], [ "Man vs. Wild" ], [ "Man vs. Wild" ], [ "Man vs. Wild" ], [ "MapleStory DS" ], [ "Marginal #4: Idol of Supernova" ], [ "Marines: Modern Urban Combat" ], [ "Mario & Sonic at the Sochi 2014 Olympic Winter Games" ], [ "Mario Golf: World Tour" ], [ "Mario Tennis" ], [ "Mario Tennis Open" ], [ "Marriage Royale: Prism Story" ], [ "Martian Panic" ], [ "Marvel Avengers: Battle for Earth" ], [ "Marvel Avengers: Battle for Earth" ], [ "Marvel Super Hero Squad: Comic Combat" ], [ "Marvel Super Hero Squad: Comic Combat" ], [ "Marvel Super Hero Squad: Comic Combat" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Super Hero Squad: The Infinity Gauntlet" ], [ "Marvel Superheroes 3D: Grandmaster's Challenge" ], [ "Mashiro Iro Symphony: *mutsu-no-hana" ], [ "Mass Effect 2" ], [ "Mass Effect 3" ], [ "Mass Effect 3" ], [ "Mass Effect Trilogy" ], [ "Mass Effect Trilogy" ], [ "Mass Effect Trilogy" ], [ "Match 3 Madness" ], [ "Mathews Bowhunting" ], [ "Max & the Magic Marker" ], [ "Max & the Magic Marker" ], [ 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Assault Squad" ], [ "Men of War: Vietnam" ], [ "Metal Fight Beyblade Portable: Chouzetsu Tensei Vulcan Horses" ], [ "Metal Fight Beyblade: Bakugami Susanoh Shuurai!" ], [ "Metal Fight Beyblade: Choujou Kessen! Big Bang Bladers" ], [ "Metal Gear Rising: Revengeance" ], [ "Metal Gear Solid HD Edition" ], [ "Metal Gear Solid HD Edition" ], [ "Metal Gear Solid HD Edition" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid V: Ground Zeroes" ], [ "Metal Gear Solid: Peace Walker HD Edition" ], [ "Metal Gear Solid: Snake Eater 3D" ], [ "Metal Gear Solid: The Legacy Collection" ], [ "Metal Max 2 Reloaded" ], [ "Metal Max 3" ], [ "Metal Max 4: Gekkou no Diva" ], [ "Metro 2033" ], [ "Metro 2033" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Metro: Last Light" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience" ], [ "Michael Jackson: The Experience 3D" ], [ "Michael Phelps: Push the Limit" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Middle-Earth: Shadow of Mordor" ], [ "Midnight Mysteries: The Edgar Allan Poe Conspiracy" ], [ "Might & Magic Heroes VI" ], [ "Might & Magic X: Legacy" ], [ "Mind Zero" ], [ "Mind over Matter" ], [ "MindJack" ], [ "MindJack" ], [ "Minds and Mystery: 5 Game Pack" ], [ "Minna no Conveni" ], [ "Minna no Ennichi" ], [ "Minna to Issho" ], [ "Minna to Kimi no Piramekino!" ], [ "Minute to Win It" ], [ "Minute to Win It" ], [ "Minute to Win It" ], [ "Misshitsu no Sacrifice" ], [ "Miyako" ], [ "Miyako: Awayuki no Utage" ], [ "Mobile Suit Gundam Age: Universe Accel / Cosmic Drive" ], [ "Mobile Suit Gundam Side Story: Missing Link" ], [ "Mobile Suit Gundam: Extreme VS Full Boost" ], [ "Mobile Suit Gundam: Mokuba no Kiseki" ], [ "ModNation Racers" ], [ "Model * Oshare Audition: Dream Girl" ], [ "Modnation Racers: Road Trip" ], [ "Moe Moe 2-Ji Daisenryaku 2" ], [ "Momotarou Dentetsu Tag Match: Yuujou - Doryoku - Shouri no Maki!" ], [ "Momotarou Dentetsu World" ], [ "Momu-chan Diet Wii: Figurobics by Chon Dayon" ], [ "MonHun Nikki: Poka Poka Ailu Mura" ], [ "MonHun Nikki: Poka Poka Ailu Mura G" ], [ "Monkey Island: Special Edition Collection" ], [ "Monkey Island: Special Edition Collection" ], [ "Monkey Island: Special Edition Collection" ], [ "Monkey Madness: Island Escape" ], [ "Monopoly" ], [ "Monopoly Collection" ], [ "Monopoly Streets" ], [ "Monopoly Streets" ], [ "Monopoly Streets" ], [ "Monster High 13 Wishes" ], [ "Monster High 13 Wishes" ], [ "Monster High: Ghoul Spirit" ], [ "Monster High: Ghoul Spirit" ], [ "Monster Hunter Freedom 2" ], [ "Monster Hunter Frontier Online" ], [ "Monster Hunter Frontier Online: Forward 1" ], [ "Monster Hunter Frontier Online: Forward 2" ], [ "Monster Hunter Frontier Online: Season 10" ], [ "Monster Hunter Frontier Online: Season 9.0" ], [ "Monster Hunter Tri" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Jam: Path of Destruction" ], [ "Monster Tale" ], [ "MorphX" ], [ "Mortal Kombat" ], [ "Moshi Monsters: Katsuma Unleashed" ], [ "Moshi Monsters: Katsuma Unleashed" ], [ "Moshi Monsters: Moshlings Theme Park" ], [ "Moshi Monsters: Moshlings Theme Park" ], [ "Mother Goose no Himitsu no Yakata" ], [ "Motion Explosion!" ], [ "MotionSports" ], [ "MotionSports: Adrenaline" ], [ "MotionSports: Adrenaline" ], [ "MotoGP 09/10" ], [ "MotoGP 09/10" ], [ "MotoGP 10/11" ], [ "MotoGP 10/11" ], [ "MotoGP 14 " ], [ "MotoGP 14 " ], [ "MotoGP 14 " ], [ "MotoGP 14 " ], [ "MotorStorm RC" ], [ "MotorStorm: Apocalypse" ], [ "Motto NUGA-CEL!" ], [ "Motto! SoniComi" ], [ "Motto! Stitch! DS Rhythm de Rakugaki Daisakusen" ], [ "Moujuutsukai to Oujisama" ], [ "Moujuutsukai to Oujisama Portable" ], [ "Moujuutsukai to Oujisama: Snow Bride" ], [ "Moujuutsukai to Oujisama: Snow Bride Portable" ], [ "Mount & Blade Collection" ], [ "Mount & Blade: Warband" ], [ "Moxie Girlz" ], [ "Muchi Muchi Pork & Pink Sweets" ], [ "Mugen Souls" ], [ "Mugen Souls Z" ], [ "Mugen no Frontier: Super Robot Taisen OG Saga EXCEED" ], [ "Muramasa: The Demon Blade" ], [ "Murder in Venice" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Murdered: Soul Suspect" ], [ "Mushi Bugyou" ], [ "Mushihimesama" ], [ "Muv-Luv Alternative" ], [ "Muv-Luv Alternative: Total Eclipse" ], [ "My Amusement Park" ], [ "My Baby 3 & Friends" ], [ "My First Dollhouse" ], [ "My First Songs" ], [ "My Fitness Coach: Club" ], [ "My Fitness Coach: Club" ], [ "My Little Sister Can't Be This Cute Portable" ], [ "My Pet Chimp" ], [ "MySims Collection" ], [ "MySims SkyHeroes" ], [ "MySims SkyHeroes" ], [ "MySims SkyHeroes" ], [ "MySims SkyHeroes" ], [ "Mystery Case Files: The Malgrave Incident" ], [ "Mystery Legends: Beauty and the Beast" ], [ "Mystery Stories: Curse of the Ancient Spirits" ], [ "Mystery Tales 2: The Spirit Mask" ], [ "Mystery Tales of Time Travel" ], [ "Mystery Trackers: The Void" ], [ "N3 II: Ninety-Nine Nights" ], [ "NASCAR '14" ], [ "NASCAR '14" ], [ "NASCAR 2011: The Game" ], [ "NASCAR 2011: The Game" ], [ "NASCAR 2011: The Game" ], [ "NASCAR The Game: Inside Line" ], [ "NASCAR The Game: Inside Line" ], [ "NASCAR Unleashed" ], [ "NASCAR Unleashed" ], [ "NASCAR Unleashed" ], [ "NASCAR Unleashed" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K11" ], [ "NBA 2K12" ], [ "NBA 2K12" ], [ "NBA 2K12" ], [ "NBA 2K13" ], [ "NBA 2K13" ], [ "NBA 2K13" ], [ "NBA 2K14" ], [ "NBA Jam" ], [ "NBA Jam" ], [ "NBA Jam" ], [ "NBA Live 14" ], [ "NBA Live 14" ], [ "NBA Live 15" ], [ "NBA Live 15" ], [ "NCAA Football 11" ], [ "NCAA Football 11" ], [ "NCAA Football 11" ], [ "NCAA Football 12" ], [ "NCAA Football 12" ], [ "NCAA Football 13" ], [ "NCAA Football 14" ], [ "NCIS" ], [ "NCIS" ], [ "NCIS" ], [ "NCIS" ], [ "NCIS 3D" ], [ "NERF N-Strike: Double Blast Bundle" ], [ "NES Remix" ], [ "NHL 11" ], [ "NHL 11" ], [ "NHL 12" ], [ "NHL 12" ], [ "NHL 13" ], [ "NHL 13" ], [ "NHL 14" ], [ "NHL 14" ], [ "NHL 15" ], [ "NHL 15" ], [ "NHL 15" ], [ "NHL 15" ], [ "NHL 2K11" ], [ "Namco Museum Megamix" ], [ "Nancy Drew: Alibi In Ashes" ], [ "Nancy Drew: The Model Mysteries" ], [ "Nano Assault" ], [ "Nano Diver" ], [ "Napoleon: Total War" ], [ "Narcissus: Moshimo Ashita ga Runara" ], [ "Naruto Shippuden 3D: The New Era" ], [ "Naruto Shippuden: Gekito Ninja Taisen! Special" ], [ "Naruto Shippuden: Kizuna Drive" ], [ "Naruto Shippuden: Shinobi Rumble" ], [ "Naruto Shippuden: Ultimate Ninja Impact" ], [ "Naruto Shippuden: Ultimate Ninja Storm 2" ], [ "Naruto Shippuden: Ultimate Ninja Storm 3" ], [ "Naruto Shippuden: Ultimate Ninja Storm 3" ], [ "Naruto Shippuden: Ultimate Ninja Storm Generations" ], [ "Naruto Shippuden: Ultimate Ninja Storm Generations" ], [ "Naruto Shippuden: Ultimate Ninja Storm Revolution" ], [ "Naruto Shippuden: Ultimate Ninja Storm Revolution" ], [ "Naruto: Powerful Shippuden" ], [ "NatGeo Challenge! Wild Life" ], [ "NatGeo Challenge! Wild Life" ], [ "NatGeo Challenge! Wild Life" ], [ "Natalie Brooks: Mystery at Hillcrest High" ], [ "National Geographic Challenge!" ], [ "National Geographic Challenge!" ], [ "Natsuzora no Monologue" ], [ "Natural Doctrine" ], [ "Natural Doctrine" ], [ "Natural Doctrine" ], [ "Naughty Bear" ], [ "Naughty Bear" ], [ "Naval Assault: The Killing Tide" ], [ "Nayuta no Kiseki" ], [ "Nazo Waku Yakata: Oto no Ma ni Ma ni" ], [ "Nazotoki Battle Tore! Densetsu no Makyuu o Fukkatsu Saseyo! " ], [ "Need for Speed Rivals" ], [ "Need for Speed Rivals" ], [ "Need for Speed Rivals" ], [ "Need for Speed: Hot Pursuit" ], [ "Need for Speed: Hot Pursuit" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Most Wanted" ], [ "Need for Speed: Shift 2 Unleashed" ], [ "Need for Speed: Shift 2 Unleashed" ], [ "Need for Speed: Shift 2 Unleashed" ], [ "Need for Speed: The Run" ], [ "Need for Speed: The Run" ], [ "Need for Speed: The Run" ], [ "Nekketsu Kouha Kunio-Kun SP: Rantou Kyousoukyoku" ], [ "Nendoroid Generation" ], [ "Nettou! Powerful Koushien" ], [ "NeverDead" ], [ "NeverDead" ], [ "New Carnival Games" ], [ "New Carnival Games" ], [ "New Love Plus" ], [ "NewU Fitness First Mind Body, Yoga & Pilates Workout" ], [ "Nickelodeon Dance" ], [ "Nickelodeon Dance" ], [ "Nickelodeon Fit" ], [ "Nickelodeon Team Umizoomi" ], [ "Nicktoons: MLB" ], [ "Nicktoons: MLB" ], [ "Nicktoons: MLB" ], [ "Nicola Kanshuu: Model * Oshare Audition" ], [ "Nicola Kanshuu: Model * Oshare Audition 2" ], [ "Nicola Kanshuu: Model Oshare * Audition Platina" ], [ "NieR" ], [ "NieR" ], [ "Nike+ Kinect Training" ], [ "Nikoli's Pencil Puzzle" ], [ "Ninja Gaiden 3" ], [ "Ninja Gaiden 3" ], [ "Ninja Gaiden 3" ], [ "Ninja Gaiden Sigma" ], [ "Ninja Gaiden Sigma 2" ], [ "Ninokuni: Shikkoku no Madoushi" ], [ "Nintendogs and Cats Golden Retriever and New Friends" ], [ "Nisekoi: Yomeiri!?" ], [ "Nisenochigiri" ], [ "Nisenochigiri: Omoide no Saki e" ], [ "No Fate! Only the Power of Will" ], [ "No More Heroes 2: Desperate Struggle" ], [ "No More Heroes: Heroes' Paradise" ], [ "No More Heroes: Heroes' Paradise" ], [ "No More Heroes: Red Zone" ], [ "Nobunaga no Yabou Online: Houou no Shou" ], [ "Nobunaga no Yabou: Soutensoku with Power-Up Kit" ], [ "Nobunaga no Yabou: Souzou" ], [ "Nobunaga no Yabou: Souzou" ], [ "Nobunaga no Yabou: Tendou" ], [ "Nobunaga no Yabou: Tendou with Power-Up Kit" ], [ "Nobunaga's Ambition (3DS)" ], [ "Nobunaga's Ambition: Sphere of Influence" ], [ "Nobunaga's Ambition: Sphere of Influence" ], [ "Nodame Cantabile: Tanoshii Ongaku no Jikan Desu" ], [ "Noddy in Toyland" ], [ "Nora to Koku no Koubou: Kiri no Mori no Majo" ], [ "Norn9: Norn + Nonette" ], [ "North American Hunting Extravaganza 2" ], [ "Now! That's What I Call Music: Dance & Sing" ], [ "Nurarihyon no Mago: Hyakki Ryouran Taisen" ], [ "Nyaruko-San: Nafushigatai Game no You na Mono" ], [ "OK! Puzzle Stars" ], [ "Odoru Daisousasen The Game: Sensuikan ni Sennyuu Seyo!" ], [ "Off-Road Drive" ], [ "Oil Rush" ], [ "Okami" ], [ "OkamiDen" ], [ "Okashi na Shima no Peter Pan: Sweet Never Land" ], [ "Omega Quintet" ], [ "Omerta: City of Gangsters" ], [ "One Piece Unlimited Cruise SP" ], [ "One Piece: Gigant Battle 2 Shin Sekai" ], [ "One Piece: Gigant Battle!" ], [ "One Piece: Pirate Warriors 2" ], [ "One Piece: Pirate Warriors 2" ], [ "One Piece: Romance Dawn - Bouken no Yoake" ], [ "One Piece: Romance Dawn - Bouken no Yoake" ], [ "One Piece: Super Grand Battle! X" ], [ "One Piece: Unlimited World Red" ], [ "One Piece: Unlimited World Red" ], [ "One Piece: Unlimited World Red" ], [ "One Piece: Unlimited World Red" ], [ "Onechanbara Special" ], [ "Onechanbara Z Kagura" ], [ "Onechanbara Z Kagura" ], [ "Onechanbara Z2: Chaos" ], [ "Onigokko! Portable" ], [ "Onna no Ko to Misshitsu ni Itara **shichau Kamoshirenai" ], [ "Operation Abyss: New Tokyo Legacy" ], [ "Operation Flashpoint: Red River" ], [ "Operation Flashpoint: Red River" ], [ "Operation Flashpoint: Red River" ], [ "Order Up!!" ], [ "Order Up!!" ], [ "Ore no Imouto ga Konna ni Kawaii Wake ga Nai Happy EnD" ], [ "Ore no Imouto ga Konna ni Kawaii wake ga Nai Portable" ], [ "Ore no Shikabane o Koete Yuke" ], [ "Ore no Yome: Anata Dake no Hanayome" ], [ "Ore wa Shoujo Mangaka" ], [ "Ore-Sama Kingdom: Koi no Manga mo Debut o Mokushise! Doki Doki Love Lesson" ], [ "Oreshika: Tainted Bloodlines" ], [ "Original Story from Fairy Tail: Gekitotsu! Kardia Daiseidou" ], [ "Otome wa Oanesama Boku ni Koi Shiteru Portable" ], [ "Otome wa Oanesama ni Koi Shiteru Portable: 2-Jin no Elder" ], [ "Otometeki Koi Kakumei * Love Revo! Portable" ], [ "Otona no Renai Shousetsu: Harlequin Selection" ], [ "Ou to Maou to 7-nin no Himegimitachi: Shin Ousama Monogatari" ], [ "Ouchi Mainichi Tamagotchi" ], [ "Ouka Sengoku Portable" ], [ "Oumagatoki: Kaidan Romance" ], [ "Outdoors Unleashed: Africa 3D" ], [ "Outdoors Unleashed: Alaska 3D" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PAC-MAN and the Ghostly Adventures" ], [ "PDC World Championship Darts: Pro Tour" ], [ "PDC World Championship Darts: Pro Tour" ], [ "PDC World Championship Darts: Pro Tour" ], [ "Pac-Man & Galaga Dimensions" ], [ "Pac-Man All-Stars" ], [ "Pac-Man Party" ], [ "Pac-Man Party 3D" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pac-Man and the Ghostly Adventures 2" ], [ "Pachi-Slot Higrashi no Naku Koro ni Matsuri" ], [ "PachiPara 15: Super Umi Monogatari in Okinawa 2" ], [ "PachiPara 3D" ], [ "PachiPara 3D: Ooumi Monogatari 2 - Pachi Pro Fuuunroku Hana" ], [ "Pachitte Chonmage Tatsujin 16: Pachinko Hissatsu Shigotojin III" ], [ "Painkiller: Hell & Damnation" ], [ "Painkiller: Hell & Damnation" ], [ "Pandora's Tower" ], [ "Pastel Chime Continue" ], [ "Patapon 3" ], [ "Patrician IV" ], [ "Paws & Claws: Marine Rescue" ], [ "Paws & Claws: Pampered Pets 2" ], [ "Paws & Claws: Regal Resort" ], [ "Payday 2" ], [ "Payday 2" ], [ "Payday 2" ], [ "Pe-Jongju to Manabu Kankokugo DS: Test-Hen" ], [ "Penguin no Mondai: The World" ], [ "Penguins of Madagascar" ], [ "Penguins of Madagascar" ], [ "Penguins of Madagascar" ], [ "Peppa Pig: Fun and Games" ], [ "Peppa Pig: Fun and Games" ], [ "Peppa Pig: Theme Park Fun" ], [ "Percy Jackson and the Olympians: The Lightning Thief" ], [ "Persona 2: Eternal Punishment" ], [ "Persona 4: Arena" ], [ "Persona 4: Arena" ], [ "Persona 4: Arena Ultimax" ], [ "Persona 4: Arena Ultimax" ], [ "Persona Q: Shadow of the Labyrinth" ], [ "Pet Pals: New Leash on Life" ], [ "Pet Shop Monogatari DS 2" ], [ "Petz Bunnyz Bunch" ], [ "Petz Fantasy 3D" ], [ "Petz Fantasy: Moonlight Magic" ], [ "Petz Fantasy: Sunshine Magic" ], [ "Petz Puppyz & Kittenz" ], [ "Petz: Catz Playground" ], [ "Phantasy Star Nova" ], [ "Phantasy Star Online 2" ], [ "Phantasy Star Portable 2: Infinity" ], [ "Phantom Brave: The Hermuda Triangle" ], [ "Phantom Breaker" ], [ "Phantom Kingdom Portable" ], [ "Pheasants Forever Wingshooter" ], [ "Phineas and Ferb Ride Again" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "Phineas and Ferb: Across the 2nd Dimension" ], [ "Phoenix Wright: Ace Attorney - Dual Destinies" ], [ "Phoenix Wright: Ace Attorney Trilogy" ], [ "PhotoKano" ], [ "PhotoKano" ], [ "Pictionary" ], [ "Pictionary" ], [ "Pictionary: Ultimate Edition" ], [ "Pictionary: Ultimate Edition" ], [ "Pillars of Eternity" ], [ "Pillow Pets" ], [ "PilotWings Resort" ], [ "Pinball Hall of Fame: The Williams Collection" ], [ "Pinkalicious" ], [ "Pirates PlundArrr" ], [ "PixelJunk Monsters Deluxe" ], [ "Pizza Delivery Boy" ], [ "Plants vs. Zombies" ], [ "Plants vs. Zombies" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "Plants vs. Zombies: Garden Warfare" ], [ "PlayStation All-Stars Battle Royale" ], [ "PlayStation All-Stars Battle Royale" ], [ "PlayStation Move Heroes" ], [ "Playmobil Top Agents" ], [ "Pocket Soccer League: Calciobit" ], [ "PokePark 2: Wonders Beyond" ], [ "Pokemon Art Academy " ], [ "Pop'n Music Portable" ], [ "Pop'n Music Portable 2" ], [ "PopCap Hits!" ], [ "PopCap Hits! Vol 2" ], [ "Portal 2" ], [ "Poupee Girl DS 2: Elegant Mint / Sweet Pink Style" ], [ "Power Gig: Rise of the SixString" ], [ "Power Gig: Rise of the SixString" ], [ "Power Pro Kun Pocket 13" ], [ "Power Pro Kun Pocket 14" ], [ "Power Pro Success Legends" ], [ "Power Rangers Samurai" ], [ "Power Rangers Samurai" ], [ "Power Rangers Super Megaforce " ], [ "PowerUp Heroes" ], [ "Powerful Golf" ], [ "Poyo Poyo Kansatsu Nikki" ], [ "Pretty Cure All Stars Everyone Gather ? Let's Dance!" ], [ "Pretty Rhythm Rainbow Live: Kira Kira My * Design" ], [ "Pretty Rhythm: My Deco Rainbow Wedding" ], [ "Prince of Persia Trilogy" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Prince of Persia: The Forgotten Sands" ], [ "Princess Arthur" ], [ "Princess Frontier Portable" ], [ "Princess Isabella: A Witch's Curse" ], [ "Princess Isabella: A Witch's Curse" ], [ "Princess Saver! Eternal Love for My Lady" ], [ "Prinny 2: Dawn of Operation Panties, Dood!" ], [ "Prison Break: The Conspiracy" ], [ "Prison Break: The Conspiracy" ], [ "Pro Angler Moves" ], [ "Pro Evolution Soccer 2011 3D" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2012" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2013" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2014" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Evolution Soccer 2015" ], [ "Pro Farm 1" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2010" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yaky? Spirits 2011" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2012" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2013" ], [ "Pro Yaky? Spirits 2014" ], [ "Pro Yaky? Spirits 2014" ], [ "Pro Yaky? Spirits 2014" ], [ "Pro Yakyuu Famista 2011" ], [ "Pro Yakyuu Famista DS 2010" ], [ "Professor Layton and the Azran Legacy" ], [ "Professor Layton vs Phoenix Wright: Ace Attorney" ], [ "Project Runway" ], [ "Project Spark" ], [ "Project X Zone" ], [ "Psycho-Pass" ], [ "Pucca Power Up" ], [ "Puella Magi Madoka Magica Portable" ], [ "Puppet Show 3: Lost Town" ], [ "Puppeteer" ], [ "Puppies 3D" ], [ "Pure Futbol" ], [ "Pure Futbol" ], [ "Puss in Boots" ], [ "Puss in Boots" ], [ "Puss in Boots" ], [ "Puss in Boots" ], [ "Putty Squad" ], [ "Putty Squad" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo Tetris" ], [ "Puyo Puyo!! 20th Anniversary" ], [ "Puyo Puyo!! 20th Anniversary" ], [ "Puzzle Chronicles" ], [ "Puzzle Quest 2" ], [ "Puzzler Brain Games" ], [ "Puzzler Mind Gym 3D" ], [ "Puzzler World 2" ], [ "QUIZ PARTY" ], [ "Quantum Theory" ], [ "Quantum Theory" ], [ "Queen's Gate: Spiral Chaos" ], [ "Quiz Magic Academy DS: Futatsu no Jikuu Koku" ], [ "Quiz Present Variety Q-Sama!! DS: Pressure Study x Atama Gai Kunaru Drill SP" ], [ "Quiz! Hexagon II" ], [ "R.U.S.E." ], [ "R.U.S.E." ], [ "R.U.S.E." ], [ "RIFT" ], [ "RPG Tsukuru DS" ], [ "Rabbids Invasion: The Interactive TV Show" ], [ "Rabbids Invasion: The Interactive TV Show" ], [ "Rabbids Land" ], [ "Rabbids Party Collection" ], [ "Rabbids: Alive & Kicking" ], [ "Racquet Sports" ], [ "Racquet Sports" ], [ "Radiant Historia" ], [ "Rage" ], [ "Ragnarok Odyssey" ], [ "Ragnarok Odyssey" ], [ "Ragnarok: Hikari to Yami no Koujo" ], [ "Rain (2013)" ], [ "Rango: The Video Game" ], [ "Rango: The Video Game" ], [ "Rango: The Video Game" ], [ "Rango: The Video Game" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala Pro Bass Fishing 2010" ], [ "Rapala for Kinect" ], [ "Ratchet & Clank Collection" ], [ "Ratchet & Clank Collection" ], [ "Ratchet & Clank: Full Frontal Assault" ], [ "Ratchet & Clank: Into the Nexus" ], [ "Raving Rabbids: Travel in Time" ], [ "Raving Rabbids: Travel in Time 3D" ], [ "Rayman 3D" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Legends" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Rayman Origins" ], [ "Reader Rabbit 1st Grade" ], [ "Reader Rabbit Kindergarten" ], [ "Real Crimes: The Unicorn Killer" ], [ "Reality Fighters" ], [ "Rec Room Games" ], [ "Record of Agarest War 2" ], [ "Record of Agarest War Zero" ], [ "Record of Agarest War: Marriage" ], [ "Red Faction: Armageddon" ], [ "Red Faction: Armageddon" ], [ "Red Faction: Armageddon" ], [ "Red Orchestra 2: Heroes of Stalingrad" ], [ "Red Steel 2" ], [ "Red Stone DS: Akaki Ishi ni Michibikareshi Monotachi" ], [ "Reel Fishing Paradise 3D" ], [ "Reload: Target Down" ], [ "Remember Me" ], [ "Remember Me" ], [ "Remember Me" ], [ "Remington Super Slam Hunting: Africa" ], [ "Remington Super Slam Hunting: Alaska" ], [ "Remington Super Slam Hunting: North America" ], [ "Renai 0 Kilometer" ], [ "Renai Banchou: Inochi Meishi, Koiseyo Otome! Love is Power!!!" ], [ "Resident Evil 6" ], [ "Resident Evil Chronicles HD" ], [ "Resident Evil: Operation Raccoon City" ], [ "Resident Evil: Operation Raccoon City" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: Revelations" ], [ "Resident Evil: The Mercenaries 3D" ], [ "Resistance Dual Pack" ], [ "Resistance: Burning Skies" ], [ "Resonance of Fate" ], [ "Resonance of Fate" ], [ "Rewrite" ], [ "Rhythm Thief & the Emperor's Treasure" ], [ "Ride to Hell" ], [ "Ride to Hell" ], [ "Ridge Racer" ], [ "Ridge Racer 3D" ], [ "Ridge Racer Unbounded" ], [ "Ridge Racer Unbounded" ], [ "Ridge Racer Unbounded" ], [ "Riding Stables: The Whitakers present Milton and Friends" ], [ "Rinne no Lagrange: Kamogawa Days" ], [ "Rio" ], [ "Rio" ], [ "Rio" ], [ "Rio" ], [ "Rise of Flight: Iron Cross Edition" ], [ "Rise of Nightmares" ], [ "Risen 2: Dark Waters" ], [ "Risen 2: Dark Waters" ], [ "Risen 2: Dark Waters" ], [ "Risen 3: Titan Lords" ], [ "Risen 3: Titan Lords" ], [ "Risen 3: Titan Lords" ], [ "River City Soccer Hooligans" ], [ "River City Super Sports Challenge" ], [ "Ro-Kyu-Bu!" ], [ "Ro-Kyu-Bu! Lost Secret" ], [ "Ro-Kyu-Bu! Secret Photo Op" ], [ "Robotics;Notes" ], [ "Robotics;Notes" ], [ "Robotics;Notes" ], [ "Rock Band 3" ], [ "Rock Band 3" ], [ "Rock Band 3" ], [ "Rock Band 3" ], [ "Rock Band Country Track Pack 2" ], [ "Rock Band Country Track Pack 2" ], [ "Rock Band Country Track Pack 2" ], [ "Rock Blast" ], [ "Rock of the Dead" ], [ "Rock of the Dead" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Rocksmith 2014" ], [ "Romance of the Three Kingdoms (3DS)" ], [ "Romance of the Three Kingdoms XII" ], [ "Romance of the Three Kingdoms XII" ], [ "Romeo Vs. Juliet" ], [ "Rooms: The Main Building" ], [ "Rooms: The Main Building" ], [ "Root Double: Before Crime After Days" ], [ "Rudolph the Red-Nosed Reindeer" ], [ "Rudolph the Red-Nosed Reindeer" ], [ "Rugby League 3" ], [ "Rugby League Live" ], [ "Rugby League Live" ], [ "Rugby World Cup 2011" ], [ "Rugby World Cup 2011" ], [ "Rune Factory 4" ], [ "Rune Factory: Tides of Destiny" ], [ "Rune Factory: Tides of Destiny" ], [ "Rurouni Kenshin: Meiji Kenkaku Romantan Saisen" ], [ "Rurouni Kenshin: Meiji Kenyaku Romantan - Kansen" ], [ "S.Y.K Renshouden" ], [ "S.Y.K Renshouden Portable" ], [ "S.Y.K: Shinsetsu Saiyuuki Portable" ], [ "SBK 2011: FIM Superbike World Championship" ], [ "SBK 2011: FIM Superbike World Championship" ], [ "SBK 2011: FIM Superbike World Championship" ], [ "SBK X: Superbike World Championship" ], [ "SBK X: Superbike World Championship" ], [ "SD Gundam G Generation 3D" ], [ "SD Gundam G Generation World" ], [ "SD Gundam G Generation World" ], [ "SD Gundam G Generation: Overworld" ], [ "SD Gundam Sangokuden Brave Battle Warriors: Shin Mirisha Taisen" ], [ "SD Gundam: Gashapon Wars" ], [ "SOCOM 4: U.S. Navy SEALs" ], [ "SOCOM: U.S. Navy SEALs Fireteam Bravo 3" ], [ "SSX" ], [ "SSX" ], [ "STORM: Frontline Nation" ], [ "SaGa 3: Jikuu no Hasha - Shadow or Light" ], [ "Sacra Terra: Angelic Night" ], [ "Sacred 3" ], [ "Sacred 3" ], [ "Sacred 3" ], [ "Saigo no Yakusoku no Monogatari" ], [ "Saint Seiya Omega: Ultimate Cosmo" ], [ "Saint Seiya: Brave Soldiers" ], [ "Saint Seiya: Sanctuary Battle" ], [ "Saints Row IV" ], [ "Saints Row: The Third" ], [ "Saka Agari Hurricane Portable" ], [ "Saki Portable" ], [ "Saki: Achiga-Hen Portable" ], [ "Sakigake!! Otokojuku - Nihon yo, Kore ga Otoko Dearu!" ], [ "Sakura Sakura: Haru Urara" ], [ "Sakura Wars: So Long, My Love" ], [ "Sakura-Sou no Pet na Kanojo" ], [ "Sakura-Sou no Pet na Kanojo" ], [ "Sam & Max: Beyond Time and Space" ], [ "Samantha Swift and the Hidden Roses of Athena" ], [ "Samurai & Dragons" ], [ "Samurai Warriors 2" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors 4" ], [ "Samurai Warriors Chronicles" ], [ "Samurai Warriors Chronicles 2nd" ], [ "Samurai Warriors Chronicles 3" ], [ "Samurai Warriors Chronicles 3" ], [ "San Goku Shi DS 3" ], [ "Sangoku Koi Senki: Otome no Heihou!" ], [ "Sangoku Koi Senki: Otome no Heihou!" ], [ "Santa Claus Is Comin' to Town!" ], [ "Santa Claus Is Comin' to Town!" ], [ "Satisfashion" ], [ "Satisfashion" ], [ "Satomi Hakkenden: Hachi Tamanoki" ], [ "Saw II: Flesh & Blood" ], [ "Saw II: Flesh & Blood" ], [ "Scared Rider Xechs" ], [ "Scene It? Twilight" ], [ "Schlag den Raab" ], [ "Schlag den Raab" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Scooby-Doo! and the Spooky Swamp" ], [ "Scribblenauts Unmasked: A DC Comics Adventure" ], [ "Scribblenauts Unmasked: A DC Comics Adventure" ], [ "Scribblenauts: Unlimited" ], [ "Scribblenauts: Unlimited" ], [ "Scripps Spelling Bee" ], [ "Sea Park Tycoon" ], [ "Secret Game Portable" ], [ "Secrets of the Titanic" ], [ "Seinaru Kana: Orichalcum no Na no Motoni" ], [ "Seisou no Amazones" ], [ "Seitokai no Ichizon: DS-suru Seitokai" ], [ "Sekai no Hate Made Itte Q! Chinjuu Hunter Mono no Daibouken" ], [ "Self-Defense Training Camp" ], [ "Sengoku" ], [ "Sengoku Basara 3 Utage" ], [ "Sengoku Basara 3 Utage" ], [ "Sengoku Basara 4" ], [ "Sengoku Basara: Chronicle Heroes" ], [ "Sengoku Basara: Samurai Heroes" ], [ "Sengoku Basara: Samurai Heroes" ], [ "Sengoku Efuda Yuugi: Hototogisu Tairan" ], [ "Sengoku Hime 2 Arashi: Hyakubana Senran Tatsukaze no Gotoku" ], [ "Sengoku Musou 3 Empires" ], [ "Sengoku Musou 3 Z" ], [ "Sengoku Musou 3 Z Special" ], [ "Sengoku Musou 3: Moushouden " ], [ "Senjou no Waltz" ], [ "Senko no Ronde DUO" ], [ "Senran Kagura 2: Deep Crimson " ], [ "Senran Kagura Burst: Guren no Sh?jo-tachi" ], [ "Senran Kagura Shinovi Versus: Sh?jo-tachi no Sh?mei" ], [ "Senran Kagura: Bon Appétit!" ], [ "Senran Kagura: Sh?jo-tachi no Shinei" ], [ "Senritsu no Stratus" ], [ "Sentouchu: Densetsu no Shinobi to Survival Battle!" ], [ "Serious Sam 3: BFE" ], [ "Serious Sam HD: Gold Edition" ], [ "Serious Sam HD: Gold Edition" ], [ "Sesame Street: Cookie's Counting Carnival" ], [ "Sesame Street: Cookie's Counting Carnival" ], [ "Sesame Street: Cookie's Counting Carnival" ], [ "Sesame Street: Elmo's A-to-Zoo Adventure" ], [ "Sesame Street: Elmo's A-to-Zoo Adventure" ], [ "Sesame Street: Elmo's A-to-Zoo Adventure" ], [ "Sesame Street: Once Upon A Monster" ], [ "Sesame Street: Ready, Set, Grover!" ], [ "Sesame Street: Ready, Set, Grover!" ], [ "Shadow of the Colossus" ], [ "Shadows of the Damned" ], [ "Shadows of the Damned" ], [ "Shape Up" ], [ "Sharin no Kuni, Himawari no Shoujo" ], [ "Shaun White Skateboarding" ], [ "Shaun White Skateboarding" ], [ "Shaun White Skateboarding" ], [ "Shaun White Skateboarding" ], [ "Shawn Johnson Gymnastics" ], [ "Sherlock Holmes and the Mystery of Osborne House" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Crimes & Punishments" ], [ "Sherlock Holmes: Secret of The Silver Earring" ], [ "Shin Hayarigami" ], [ "Shin Hayarigami" ], [ "Shin Hisui no Shizuku: Hiiro no Kakera 2 Portable" ], [ "Shin Kamaitachi no Yoru: 11 Hitome no Suspect" ], [ "Shin Kamaitachi no Yoru: 11 Hitome no Suspect" ], [ "Shin Ken to Mah? to Gakuenmono. Toki no Gakuen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Shu-Hen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Wei-Hen" ], [ "Shin Koihime Musou: Otome Ryouran * Sangokushi Engi - Wu-Hen" ], [ "Shin Koihime Musou: Otome Taisen * Sangokushi Engi" ], [ "Shin Megami Tensei IV" ], [ "Shin Megami Tensei: Devil Summoner - Soul Hackers" ], [ "Shin Megami Tensei: Devil Survivor 2" ], [ "Shin Megami Tensei: Devil Survivor Overclocked" ], [ "Shin Megami Tensei: Persona 2: Innocent Sin" ], [ "Shin Sangoku Musou 5 Empires" ], [ "Shin Sangoku Musou 6 Special" ], [ "Shin Sangoku Musou Online: Kamishou Ranbu" ], [ "Shin Sangoku Musou Online: Souten Ranbu" ], [ "Shin Sangoku Musou: Multi Raid 2" ], [ "Shinigami to Shoujo" ], [ "Shining Ark" ], [ "Shining Blade" ], [ "Shining Hearts" ], [ "Shining Resonance" ], [ "Shinken de Watashi ni Koi Shinasai! R" ], [ "Shinobi" ], [ "Shinobi Koutsutsu" ], [ "Shinobido 2: Tales of the Ninja" ], [ "Ship Simulator Extremes" ], [ "Shirahana no Ori: Hiiro no Kakera 4 - Shiki no Uta" ], [ "Shiratsuyu no Kai" ], [ "Shiren the Wanderer 4 - God's Eye and the Demon's Navel" ], [ "Shiren the Wanderer 4 - God's Eye and the Demon's Navel" ], [ "Shrek: Forever After" ], [ "Shrek: Forever After" ], [ "Shrek: Forever After" ], [ "Shrek: Forever After" ], [ "Shukufuku no Campanella Portable" ], [ "Shutsugeki! Otometachi no Senjou 2: Ikusabana no Kizuna" ], [ "Sid Meier's Civilization: Beyond Earth" ], [ "Sid Meier's Pirates!" ], [ "Silent Hill HD Collection" ], [ "Silent Hill HD Collection" ], [ "Silent Hill: Book of Memories" ], [ "Silent Hill: Downpour" ], [ "Silent Hill: Downpour" ], [ "Silent Hill: Shattered Memories" ], [ "Silent Hill: Shattered Memories" ], [ "Silent Hunter 5: Battle of the Atlantic" ], [ "Silly Bandz: Play The Craze" ], [ "Silverlicious" ], [ "Sing Party" ], [ "Sing4: The Hits Edition" ], [ "SingStar Apres-Ski Party 2" ], [ "SingStar Dance" ], [ "SingStar Fussballhits" ], [ "SingStar Guitar" ], [ "SingStar: Back to the 80s" ], [ "Singstar: Ultimate Party" ], [ "Singstar: Ultimate Party" ], [ "Singularity" ], [ "Sins of a Solar Empire: Trinity" ], [ "Ski Region Simulator" ], [ "Skylanders Giants" ], [ "Skylanders Giants" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders SWAP Force" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Spyro's Adventure" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Skylanders: Trap Team" ], [ "Sled Shred featuring the Jamaican Bobsled Team" ], [ "Sleeping Dogs" ], [ "Sleeping Dogs" ], [ "Sleeping Dogs" ], [ "Sleeping Dogs" ], [ "Slime MoriMori Dragon Quest 3: Taikaizoku to Shippo Dan" ], [ "Slotter Mania P: Tetsuya Shinjuku vs Ueno " ], [ "Sly 2: Band of Thieves" ], [ "Sly Cooper: Thieves in Time" ], [ "Sly Cooper: Thieves in Time" ], [ "Smile PreCure! Let's Go! Marchen World" ], [ "Sniper Elite" ], [ "Sniper Elite 3" ], [ "Sniper Elite 3" ], [ "Sniper Elite 3" ], [ "Sniper Elite 3" ], [ "Sniper Elite V2" ], [ "Sniper Elite V2" ], [ "Sniper Elite V2" ], [ "Sniper: Ghost Warrior" ], [ "Sniper: Ghost Warrior" ], [ "Sniper: Ghost Warrior 2" ], [ "Sniper: Ghost Warrior 2" ], [ "Sniper: Ghost Warrior 2" ], [ "So-Ra-No-Wo-To: Otome no Gojuusou" ], [ "Soccer Tsuku DS: World Challenge 2010" ], [ "Soccer Tsuku: Pro Soccer Club o Tsukurou!" ], [ "Soccer Tsuku: Pro Soccer Club o Tsukurou!" ], [ "Sokukoku no Kusabi: Hiiro no Kakera 3 Portable" ], [ "Sol Trigger" ], [ "Solatorobo: Red the Hunter" ], [ "Solitaire Overload Plus" ], [ "SoniPro" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & All-Stars Racing Transformed" ], [ "Sonic & SEGA All-Stars Racing with Banjo-Kazooie" ], [ "Sonic & Sega All-Stars Racing" ], [ "Sonic Boom: Rise of Lyric" ], [ "Sonic Boom: Shattered Crystal" ], [ "Sonic Generations" ], [ "Sonic Lost World" ], [ "Sonic Lost World" ], [ "Sonny with a Chance" ], [ "Sora no Otoshimono Forte: Dreamy Season" ], [ "Sora no Otoshimono: DokiDoki Summer Vacation" ], [ "Sorcery" ], [ "Sorcery Saga: The Curse of the Great Curry God" ], [ "Soukoku no Kusabi: Hiiro no Kakera 3 - Ashita e no Tobira" ], [ "Soul Sacrifice" ], [ "Soul Sacrifice Delta" ], [ "SoulCalibur V" ], [ "SoulCalibur V" ], [ "South Park: The Stick of Truth" ], [ "South Park: The Stick of Truth" ], [ "South Park: The Stick of Truth" ], [ "Spec Ops: The Line" ], [ "Spec Ops: The Line" ], [ "Spec Ops: The Line" ], [ "Speed" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Edge of Time" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spider-Man: Shattered Dimensions" ], [ "Spirit Camera: The Cursed Memoir" ], [ "Splatterhouse" ], [ "Split/Second" ], [ "Split/Second" ], [ "Split/Second" ], [ "Split/Second" ], [ "SpongeBob SquarePants: Plankton's Robotic Revenge" ], [ "SpongeBob SquarePants: Plankton's Robotic Revenge" ], [ "SpongeBob SquarePants: Plankton's Robotic Revenge" ], [ "SpongeBob SquigglePants" ], [ "SpongeBob SquigglePants 3D" ], [ "SpongeBob's Boating Bash" ], [ "SpongeBob's Boating Bash" ], [ "SpongeBob's Surf & Skate Roadtrip" ], [ "SpongeBob's Surf & Skate Roadtrip" ], [ "Sports Collection" ], [ "Squinkies" ], [ "Squinkies 2: Adventure Mall Surprize!" ], [ "Squishy Tank" ], [ "Star Driver: Kagayaki no Takuto - Ginga Bishounen Densetsu" ], [ "Star Fox 64 3D" ], [ "Star Ocean: The Last Hope International" ], [ "Star Trek Online" ], [ "Star Trek: The Game" ], [ "Star Trek: The Game" ], [ "Star Trek: The Game" ], [ "Star Wars: The Force Unleashed II" ], [ "Star Wars: The Force Unleashed II" ], [ "Star Wars: The Force Unleashed II" ], [ "Starhawk" ], [ "Starry ? Sky: After Autumn" ], [ "Starry ? Sky: After Summer" ], [ "Starry ? Sky: In Autumn" ], [ "Starry ? Sky: In Spring" ], [ "Starry ? Sky: In Summer" ], [ "Starry ? Sky: In Winter" ], [ "Start the Party!" ], [ "Start the Party! Save the World" ], [ "Steel Battalion: Heavy Armor" ], [ "Steel Diver" ], [ "Steins;Gate" ], [ "Steins;Gate" ], [ "Steins;Gate" ], [ "Steins;Gate: Hiyoku Renri no Darling" ], [ "Steins;Gate: Hiyoku Renri no Darling" ], [ "Steins;Gate: Hiyoku Renri no Darling" ], [ "Steins;Gate: Senkei Kousoku no Phonogram" ], [ "Steins;Gate: Senkei Kousoku no Phonogram" ], [ "Storm Lover 2nd" ], [ "Storm Lover Kai!!" ], [ "StormLover" ], [ "StormLover Karen!!" ], [ "Story of Seasons" ], [ "Street Fighter X Tekken" ], [ "Street Fighter X Tekken" ], [ "Street Fighter X Tekken" ], [ "Street Fighter X Tekken" ], [ "Strider (2014)" ], [ "Strike Witches 2: Iyasu Naosu Punipunisuru" ], [ "Strike Witches: Anata to Dekiru Koto - A Little Peaceful Days" ], [ "Strike Witches: Shirogane no Tsubasa" ], [ "Strike Witches: Shirogane no Tsubasa" ], [ "Stronghold 3" ], [ "Stronghold Kingdoms" ], [ "Style Savvy: Trendsetters" ], [ "Suikoden: Tsumugareshi Hyakunen no Toki" ], [ "Suite PreCure: Melody Collection" ], [ "Sumikko Gurashi: Koko ga Ochitsukundesu" ], [ "Summer Challenge: Athletics Tournament" ], [ "Summer Challenge: Athletics Tournament" ], [ "Summon Night 3" ], [ "Summon Night 4" ], [ "Summon Night 5" ], [ "Summon Night Granthese: Horobi no Ken to Yakusoku no Kishi" ], [ "Super Hero Generation" ], [ "Super Hero Generation" ], [ "Super Heroine Chronicle" ], [ "Super Heroine Chronicle" ], [ "Super Meat Boy: Ultra Edition!" ], [ "Super Monkey Ball 3D" ], [ "Super Monkey Ball: Step & Roll" ], [ "Super Robot Taisen L" ], [ "Super Robot Taisen OG Infinite Battle" ], [ "Super Robot Taisen OG Saga: Masou Kishin III - Pride of Justice" ], [ "Super Robot Taisen OG Saga: Masou Kishin III - Pride of Justice" ], [ "Super Robot Taisen UX" ], [ "Super Robot Wars OG Saga Masou Kishin F: Coffin of the End" ], [ "Super Robot Wars OG Saga: Masou Kishin - The Lord of Elemental" ], [ "Super Sentai Battle: Ranger Cross" ], [ "Supremacy MMA" ], [ "Supremacy MMA" ], [ "Supremacy MMA" ], [ "Supreme Commander 2" ], [ "Supreme Commander 2" ], [ "Supreme Ruler: Cold War" ], [ "Sushi Go-Round" ], [ "Sushi Go-Round" ], [ "Suzumiya Haruhi no Tsuisou" ], [ "Suzumiya Haruhi no Tsuisou" ], [ "Suzumiya Haruhi-Chan no Mahjong" ], [ "Suzunone Seven: Rebirth Knot" ], [ "Sword Art Online: Hollow Fragment" ], [ "Sword Art Online: Infinity Moment" ], [ "Syndicate" ], [ "Syndicate" ], [ "Syphon Filter: Logan's Shadow" ], [ "T.A.C. Heroes : Big Red One" ], [ "TNA iMPACT: Cross the Line" ], [ "TNA iMPACT: Cross the Line" ], [ "TRINITY: Souls of Zill O'll" ], [ "TRON: Evolution" ], [ "TRON: Evolution" ], [ "TRON: Evolution" ], [ "TRON: Evolution" ], [ "TRON: Evolution" ], [ "TRON: Evolution - Battle Grids" ], [ "TV Anime: Fairy Tale Gekitou! Madoushi Kessen" ], [ "TV Superstars" ], [ "TV Total Events" ], [ "Tactics Ogre: Let Us Cling Together" ], [ "Taiko Drum Master: Don and Katsu's Space-Time Great Adventure" ], [ "Taiko Drum Master: Tokumori!" ], [ "Taiko no Tatsujin DS: Dororon! Youkai Daikessen!!" ], [ "Taiko no Tatsujin Portable DX" ], [ "Taiko no Tatsujin Wii: Ketteiban" ], [ "Taiko no Tatsujin Wii: Minna de Party * 3-Yome!" ], [ "Taiko no Tatsujin: Chibi Dragon to Fushigi na Orb" ], [ "Taiko no Tatsujin: Wii U Version!" ], [ "Take On Helicopters" ], [ "Tale of a Hero" ], [ "Tales of Graces f" ], [ "Tales of Hearts" ], [ "Tales of Innocence R" ], [ "Tales of Phantasia: Narikiri Dungeon X" ], [ "Tales of Symphonia" ], [ "Tales of the Abyss" ], [ "Tales of the Heroes: Twin Brave" ], [ "Tales of the World: Radiant Mythology 3" ], [ "Tales of the World: Reve Unitia" ], [ "Tamagotchi Collection" ], [ "Tamagotchi no Doki Doki Dream Omisecchi" ], [ "Tamagotchi no Narikiri Challenge" ], [ "Tamagotchi no Pichi Pichi Omisecchi" ], [ "Tank! Tank! Tank!" ], [ "Tantei Opera: Milky Holmes" ], [ "Tatsunoko vs. Capcom: Ultimate All-Stars" ], [ "Tearaway" ], [ "Tears to Tiara II: Heir of the Overlord" ], [ "Tears to Tiara: Kakan no Daichi Portable" ], [ "Teenage Mutant Ninja Turtles (3DS)" ], [ "Teenage Mutant Ninja Turtles: Danger of the Ooze" ], [ "Teenage Mutant Ninja Turtles: Danger of the Ooze" ], [ "Teenage Mutant Ninja Turtles: Danger of the Ooze" ], [ "Tegami Bachi: Kokoro Tsumugu Mono e" ], [ "Tekken 3D: Prime Edition" ], [ "Tekken Tag Tournament 2" ], [ "Tekken Tag Tournament 2" ], [ "Tekken Tag Tournament 2" ], [ "Tenjin Ranman: Happy GO Lucky!!" ], [ "Tenkai Knights: Brave Battle" ], [ "Tenkaichi * Sengoku Lovers" ], [ "Tennis no Oji-Sama Gyutto! DokiDoki Survival - Umi to Yama no Love Passion" ], [ "Tennis no Oji-Sama: Motto Gakuensai no Ouji-Sama - More Sweet Edition" ], [ "Terraria" ], [ "Terraria" ], [ "Terraria" ], [ "Terraria" ], [ "Terraria" ], [ "Terraria" ], [ "Test Drive: Ferrari Legends" ], [ "Test Drive: Ferrari Legends" ], [ "Tetris Axis" ], [ "Tetris Party Deluxe" ], [ "Tetris Party Deluxe" ], [ "The $1 Pyramid" ], [ "The 3rd Birthday" ], [ "The Adventures of Tintin: The Game" ], [ "The Adventures of Tintin: The Game" ], [ "The Adventures of Tintin: The Game" ], [ "The Adventures of Tintin: The Game" ], [ "The Amazing Race" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man (Console Version)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Amazing Spider-Man 2 (2014)" ], [ "The Awakened Fate Ultimatum" ], [ "The Bachelor: The Videogame" ], [ "The Bachelor: The Videogame" ], [ "The Biggest Loser: Challenge" ], [ "The Biggest Loser: Ultimate Workout" ], [ "The Binding of Isaac" ], [ "The Black Eyed Peas Experience" ], [ "The Black Eyed Peas Experience" ], [ "The Book of Unwritten Tales: The Critter Chronicles" ], [ "The Bureau: XCOM Declassified" ], [ "The Bureau: XCOM Declassified" ], [ "The Bureau: XCOM Declassified" ], [ "The Cages: Pro Style Batting Practice" ], [ "The Crew" ], [ "The Crew" ], [ "The Crew" ], [ "The Croods: Prehistoric Party!" ], [ "The Croods: Prehistoric Party!" ], [ "The Croods: Prehistoric Party!" ], [ "The Croods: Prehistoric Party!" ], [ "The Cube" ], [ "The Cursed Crusade" ], [ "The Cursed Crusade" ], [ "The Cursed Crusade" ], [ "The Darkness II" ], [ "The Darkness II" ], [ "The Darkness II" ], [ "The Elder Scrolls Online" ], [ "The Evil Within" ], [ "The Evil Within" ], [ "The Evil Within" ], [ "The Evil Within" ], [ "The Eye of Judgment: Legends" ], [ "The Fight: Lights Out" ], [ "The First Templar" ], [ "The First Templar" ], [ "The God of War Trilogy" ], [ "The Golf Club" ], [ "The Golf Club" ], [ "The Guided Fate Paradox" ], [ "The Gunstringer" ], [ "The Haunted: Hell's Reach" ], [ "The History Channel: Great Battles - Medieval" ], [ "The House of the Dead: Overkill - Extended Cut" ], [ "The IdolM@ster: Gravure For You! Vol. 6" ], [ "The IdolM@ster: One for All" ], [ "The Idolm@ster 2" ], [ "The Idolm@ster: Shiny Festa - Honey Sound / Funky Note / Groovy Tune" ], [ "The Idolmaster 2" ], [ "The Idolmaster: Gravure For You! Vol. 2" ], [ "The Idolmaster: Gravure For You! Vol. 3" ], [ "The Idolmaster: Gravure For You! Vol. 4" ], [ "The Idolmaster: Gravure For You! Vol. 5" ], [ "The Idolmaster: Gravure For You! Vol.7" ], [ "The Idolmaster: Gravure For You! Vol.8" ], [ "The Idolmaster: Gravure For You! Vol.9" ], [ "The Inner World" ], [ "The Jak and Daxter Collection" ], [ "The King of Fighters Portable '94~'98: Chapter of Orochi" ], [ "The King of Fighters XIII" ], [ "The King of Fighters XIII" ], [ "The Kore Gang" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The LEGO Movie Videogame" ], [ "The Last Airbender" ], [ "The Last Airbender" ], [ "The Last Story" ], [ "The Legend of Heroes VII: The Trail of Blue" ], [ "The Legend of Heroes VII: The Trail of Blue" ], [ "The Legend of Heroes VII: The Trail of Zero" ], [ "The Legend of Heroes VII: The Trail of Zero" ], [ "The Legend of Heroes: Trails in the Sky First Chapter" ], [ "The Legend of Heroes: Trails in the Sky Second Chapter" ], [ "The Legend of Heroes: Trails in the Sky Third Chapter" ], [ "The Legend of Heroes: Trails of Cold Steel" ], [ "The Legend of Heroes: Trails of Cold Steel" ], [ "The Legend of Heroes: Trails of Cold Steel II" ], [ "The Legend of Heroes: Trails of Cold Steel II" ], [ "The Legend of Korra (3DS)" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: Aragorn's Quest" ], [ "The Lord of the Rings: War in the North" ], [ "The Lost Chronicles of Zerzura" ], [ "The Lost Treasures of Alexandria" ], [ "The Magic School Bus: Oceans" ], [ "The Mysterious Case of Dr. Jekyll and Mr. Hyde" ], [ "The Next BIG Thing" ], [ "The Night of the Rabbit" ], [ "The Oregon Trail" ], [ "The Oregon Trail" ], [ "The Penguins of Madagascar" ], [ "The Penguins of Madagascar: Dr. Blowhole Returns - 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "import pandas as pd\n", "\n", "df_filtered['Sales_Category'] = pd.cut(df_filtered['Global_Sales'], bins=[0, 1, 5, 10, np.inf], labels=['Low', 'Medium', 'High', 'Very High'])\n", "\n", "fig = px.scatter(df_filtered, x='NA_Sales', y='JP_Sales',\n", " title='Interactive Relationship Between NA Sales and JP Sales (2010-2014)',\n", " labels={'NA_Sales': 'NA Sales (in millions)', 'JP_Sales': 'JP Sales (in millions)'},\n", " hover_data=['Name'],\n", " color='Sales_Category', \n", " color_discrete_sequence=px.colors.qualitative.Set1, \n", " log_x=True, log_y=True, opacity=0.7)\n", "\n", "fig.update_layout(width=1000, height=800,\n", " coloraxis_colorbar=dict(title='Sales Category'))\n", "\n", "fig.update_traces(marker=dict(size=5, line=dict(width=1, color='DarkSlateGrey')))\n", "\n", "fig.show()\n" ] }, { "cell_type": "code", "execution_count": 64, "id": "532b3f23", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "NA Sales (in millions)=%{x}
JP Sales (in millions)=%{y}
Global_Sales=%{marker.size}
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"" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "font": { "size": 20 }, "text": "Relationship Between NA Sales and JP Sales (Bubble Size: Global Sales)", "x": 0.5 }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "font": { "size": 18 }, "text": "NA Sales (in millions)" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "font": { "size": 18 }, "text": "JP Sales (in millions)" } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "import pandas as pd\n", "import numpy as np\n", "\n", "\n", "colors = np.random.rand(len(df_filtered))\n", "\n", "fig = px.scatter(df_filtered, x='NA_Sales', y='JP_Sales',\n", " size='Global_Sales', size_max=60,\n", " color=colors, color_continuous_scale=px.colors.sequential.Viridis,\n", " labels={'NA_Sales': 'NA Sales (in millions)', 'JP_Sales': 'JP Sales (in millions)'},\n", " title='Relationship Between NA Sales and JP Sales (Bubble Size: Global Sales)')\n", "\n", "fig.update_layout(legend_title_text='Global Sales',\n", " title_font_size=20, font_size=12,\n", " title_x=0.5, \n", " margin=dict(t=60, l=40, r=40, b=40), \n", " hovermode='closest') \n", "\n", "fig.update_xaxes(title_font=dict(size=18))\n", "fig.update_yaxes(title_font=dict(size=18))\n", "\n", "fig.show()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "8cde8821", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "818243f0", "metadata": {}, "source": [ "Data Preparation:\n", "Filtering: You filter df to include only games released from 2010 to 2014, creating df_filtered. This subset focuses the analysis on a specific, recent timeframe.\n", "Correlation Analysis:\n", "Calculation: The Pearson correlation coefficient between 'NA_Sales' and 'JP_Sales' within df_filtered is calculated to quantify the linear relationship between these sales figures.\n", "Output: The calculated correlation coefficient is printed, providing a statistical insight into the relationship between NA and JP sales during the specified years.\n", "Visualizations with Seaborn and Matplotlib:\n", "Regression Plot:\n", "\n", "A regression plot illustrates the relationship between 'NA_Sales' and 'JP_Sales' with a regression line indicating the trend.\n", "Scatter points are semi-transparent (alpha=0.6), and the regression line is green (color='#2ca02c'), enhancing the plot's clarity and visual appeal.\n", "The plot includes a title and axis labels to clearly convey the analysis context and data dimensions.\n", "Scatter Plot with Hue:\n", "\n", "A scatter plot colors points by 'Genre' to explore how different genres might influence the sales relationship.\n", "The alpha=0.5 setting improves point overlap visibility, and the Set1 palette ensures genre distinctions are clear.\n", "A legend is placed outside the plot, avoiding data obscuration.\n", "Interactive Visualization with Plotly:\n", "Interactive Scatter Plot:\n", "An interactive scatter plot using Plotly offers dynamic exploration of the NA vs. JP sales relationship.\n", "Points are log-transformed on both axes (log_x=True, log_y=True) to better handle wide data ranges and outliers, making the plot more informative, especially for lower sales figures.\n", "The color_continuous_scale set to Viridis and point opacity to 0.7 enhance visual differentiation.\n", "Hovering over points reveals the game 'Name', adding a layer of detail that invites deeper investigation into specific data points.\n", "The plot size is customized for an expansive view, and marker size is set for easy visibility." ] }, { "cell_type": "markdown", "id": "3624f28a", "metadata": {}, "source": [ "What is the distribution of the most popular 4 game genres? " ] }, { "cell_type": "code", "execution_count": 65, "id": "2104dbbd", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\1955933327.py:11: SettingWithCopyWarning:\n", "\n", "\n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np\n", "import pandas as pd\n", "\n", "genre_sales = df.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False)\n", "top_4_genres = genre_sales.head(4).index\n", "\n", "top_genres_df = df[df['Genre'].isin(top_4_genres)]\n", "\n", "top_genres_df['Log_Global_Sales'] = np.log1p(top_genres_df['Global_Sales'])\n" ] }, { "cell_type": "code", "execution_count": 66, "id": "02bf1152", "metadata": {}, "outputs": [ { "data": { "image/png": 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y9tDQUPm+bdu2ydul1+jGjRuz/BwaNWokNmzYUExKSsrxOX///XdRo9GIn3zySa71ZSclJUVs3769qNFoxN9//93g/bV3716xTp06YuPGjQ1eK/3795dfJ8eOHZO3R0dHix06dMjyGSR91mg0GnH79u3ydum1MGHCBFGj0YgfffSRwfv17t27YuvWrUWNRiMePXo01+8lMTFR9PPzE19++WWj90u/hxMnTpjwk8n7Z9jt27fF2rVriw0aNBAvXLggb3/06JHYpUsX+WcQGhqa63PHx8eLr732mvyYJk2aiB999JG4atUq8ebNm9k+Lj09XXz99dflz4O0tDT5vlWrVokajUbs3r27KIrWe8/pW7duXZa/oURkXewiTkSFRup+GR0dneN+jx8/hkqlgpeXl7xNEAR88MEH+PLLL9GzZ888Pe+7774rf51bKwIANGnSxGDmXGdnZ8yaNQtqtRp///13oSzVk5ycjHXr1kGhUGDevHkGPwsvLy/MmzcPCoUCa9asQXx8vMFjVSoVpk6datBS/9Zbb8HBwQFRUVF48uRJjs99//59BAYGws3NDd99953BcapUqYIZM2YAAH7//Xezvz+p23V2s78fPnwY48ePN/pfUFBQtsc9c+YMrl69isqVK2PKlCkGLWP+/v6YOHFitrVXrlwZn3zyiTwrt0qlwldffQUvLy8cOXIEoaGhAHRLrXXq1Akff/xxlh4Tr732Gjw8PJCYmCh3Uc0rQRCwcOFCDBw4EGq1GgkJCdi3bx9mz56NPn364KWXXsLkyZPlLvmSJ0+e4OWXX8Z7772HgIAAg/uqVauGZs2aAUCu3Wv/+OMPALpZpGvVqiVvd3BwkH8eO3bskH+Hjx8/BpB17L2/vz+mT5+OGTNmGHTvzs17771n0GXXx8cHkyZNAgCsWbNG3t6nTx8AyLLk3Z49e/D06VO8+uqrWVr+M5OWf8tucsFly5Zl+zqUhgEEBgYiJCQErVu3xpAhQwxmdW/bti3efPNNxMbG4q+//spy/DfffBMvvfSSfNvT0xPdu3cHAKNdy8uWLYuuXbvKtxUKBcLDw7Ft2zaULl0aM2fONHi/vvDCC/JrXvq95uTChQtITk6GRqPJdd/cmPMZtnbtWnnSuXr16hl833ldecHFxQUrVqxA9+7doVAoEBMTg507d+Kbb75Bt27d0LJlS8yePRtRUVEGjzt//jyuX7+OGjVqYMKECQZdzPv164dGjRrB1dVV/iy1xntOnzRcoSgtnUZU3DFgE1GhkSbBym1ZocaNGyMpKQk9e/bETz/9hEuXLkGr1cLLy0sel2cqJycnVKlSJU916s9yLildujT8/PyQlJSEK1eu5Ol45rh8+TKSkpJQu3Zto93IK1euDD8/PyQnJ8uzd0uqVKmSZVZ2BwcHeZv+JHPGnD59GgDQokULo5OuNW3aFGXKlMGjR48QEhKSp+9LklvgunPnDrZu3Wr0PynQGXPq1CkAuu6txmbV7dy5M5RKJS5evIiUlBSD+7p27ZrlMY6OjnLX4TNnzgAAmjdvjh9//BGvvvqqvF9aWhpu376Nv/76Sw5emY+fF87Ozvjiiy9w5MgRzJkzB927d0f58uUB6Ga03rBhA7p27Yr9+/fLj6lQoQLmzp2LTz75RN4miiIePHiAwMBA+SQ/p7rS09Pl71M/+OnX1bhxY4P9mjRpAkDXbf6zzz5DYGAg4uLiAOi6cnft2hXOzs4mf+/G3n+tWrWSf2/S50jLli3h7e2NU6dO4eHDh/K+Uvfw3r175/pcuY2VP3XqVLavQ+mxJ06cAGD85yXVDhgPQMbG/koXnYy9T40F39OnTyM9PR3+/v5wcXHJcn/Lli2hUChw9uzZXN930s+xYsWKOe5nCnM+w44fPw4ABks+Sho0aIAyZcrkqYaSJUviu+++w4EDB/D111+jU6dO8kWxiIgILF26FF26dDH4DJU+Q1q3bm30b9Xq1auxZs0alCpVymrvOX0+Pj4AMi4WEZH1cQw2ERWamJgYAMh1HN306dMxatQoXL58GQsWLMCCBQvg6emJVq1aoU+fPvIJvSnMmZU7u5NLKeBERETk+Zh5JT1HTie6Pj4+uHjxYpZ6spuoSQqPuYUKU567YsWKePz4MSIiInIcR54dqbUzu7D87rvvGvQ8AHQTQ0knv9mRapdOOjNzcXFBqVKl8PjxY0RFRRm0uubl956cnIwtW7Zg7969+O+///Dw4UN5wibppFy0wKRDnp6e6NGjhzxOPSQkBPv378eyZcvw4MEDfPLJJ9i7d69BS/rBgwexZcsWBAUFITQ0VA5qpqyXHRMTg8TERADI9X0mhbGuXbvi6tWrWLp0KTZt2oRNmzZBpVKhQYMG6Ny5M/r06ZNrS7JEEARUqFAhy3ZHR0f59xYdHQ1vb28olUr07NkTv/32G7Zu3Yrhw4cjIiICx44dQ/Xq1eHv75/r80lhNrvX4cKFC7NsyzzBmfRzmDVrFmbNmpXtcxkLQMY+C6UWU2PvU2P7S8+/b98+o5OvSRITExEbG5vjig1Sr4vc5qkwhTmfYdLkbsZeA9KxcrrAlp2yZcuib9++6Nu3LwDdPBWBgYFYsWIFoqOjMXr0aAQGBsLBwUE+vvS+N0Vhv+f0SX/jzO0xQ0SWx4BNRIXmxo0bALKeoGZWrlw5/PXXXzh79iz27NmDY8eO4ebNm/j777/x999/Y9iwYdnO3J2ZKV3CM8suDEiByZT1RvPSJTan58rpBE3aJ/MkZ6ac1JnCnOc21YsvvggHBweEh4cjLCws20CcV6aE2uxqz+57yfx7j4iIQP/+/REcHAwPDw/4+fmhTZs28PX1lWfPzjwLdF7qv3HjBmJjY+XupfoqV66MQYMGoUePHujduzdCQ0OxZ88evPnmm9Bqtfjwww+xf/9+qNVq1K1bF927d0eNGjVQv359rFq1Cn///XeOzy+9bh0cHNCpU6cc99XvGTJhwgQMGDAAu3btwuHDh3H27FmcOnUKp06dklv8TJkcUKFQmPx7AHSt1L/99hv++ecfDB8+HFu3bkV6enquk5tJpO6458+fN2l/Y6Qg3LRp0xzXsTcWbPP6XjW2v/T81atXN+hebA7pIpElLg6Z8xkmPX92FwFNrSslJQW3bt1CSkoKGjRokOX+GjVqoEaNGujRowe6d++OR48e4fTp02jRokW2M5sbY833nH4N+schIutjwCaiQnPgwAEAMGm2XgBo2LAhGjZsCEB3dX7jxo2YP38+/vjjDwwYMCDb8bv5lV0LtTTmVWrZkMK7sZPB2NjYfNUgnajnNHZPGhOc02zdtvrc7u7uaNOmDXbt2oVNmzaZPMNxbnKrPT4+HlFRUVAqlVkCn6m/9/nz5yM4OBjdu3fHjBkzsgTCvCzLY8xbb72F5ORkHD16NNufb4kSJdChQwcsWbJE7hny999/Y//+/ahZsyYWL16cJew9e/Ys1+f29PSEWq1GWloaZs6cmacLKOXKlcOgQYMwaNAgpKam4vjx45g2bRru3LmD9evXY/jw4bkeIz09HU+ePMnyfSckJCA6OhouLi4Gv7cqVaqgcePGOH36NO7cuYPdu3dDpVLJ45hz07x5c5QpUwZhYWE4ceKE0YsauZG6LXfr1s1iS1uZ8/y1atXC3Llz83UsqYU887hkc5jzOVKuXDmEhITg4cOHqFatWpb9Te0GHRMTg969e8PV1RWnTp3K9qJohQoV0Lx5c+zatUt+H0l1Z7c83/Hjx/HkyRM0a9YMR44csep7Dsj4XeVlhnUiKlgcg01EhWLHjh3477//UK5cuRzXMv7vv//QrVs3DB061GC7l5cXhg8fDl9fX2i1Wvnkx1KttfoOHz6cZdv9+/dx5coVuLu7y61E0nhHY13zzp07Z/TYptZbt25dODs749q1a/JJqL6QkBBcvXoVLi4uua4hnVcNGzaEIAg4evSoPJZW34kTJxAVFQUfH59su3KaYvjw4VCr1Vi0aFGWceSZRUVFGe0emVnjxo0BAHv37jXaEvXvv/9Cq9WiUaNGWXo3HDlyJMv+cXFxOHLkCJRKpXyxR2rtHDJkSJaT4YsXL8o/M3PWwhYEQZ7caeXKlTnue/fuXQC61jj9unr16pXlRD8+Pl6+P6e6HBwcUL9+fWi1WqPvA1EU8e677+Ltt9+Wf2fjxo1Ds2bNDCZdU6vVeOWVV+TJAk353UmM/R4CAwORnp6Ohg0bZvm9SZOdrV27FhcvXkTLli1NHqurVCrl4D958mQ5ZGXn2rVrWbZJr7ns1lhfvXo1Xn/9daPdzS1Bev7Tp0/LXY31Xb16FZ07d8aYMWNybQF+4YUXAFhmGIw5n2FNmzYFkHExVt/Vq1ezDb2ZeXt7w8fHB/Hx8fKY/Ozcu3cPQMb7SHqfG3v9A8C8efMwfvx4REdHW+09p0/6XUm/OyKyPgZsIipQoihi586d+PLLLwHoTmJzukJfpUoVPHnyBEeOHMG///5rcN+VK1dw584duLq64sUXXwSQ0Z07ISHBrEBjzJYtWxAYGCjffvr0KSZMmID09HT069dPrl9aZ1WauVry8OHDbFuSpMfm1rLh7Owsd/sdN26cQYtSVFQUPvnkE2i1WvTu3TtPE0iZolKlSmjXrh3i4uIwYcIEg1nTQ0NDMXnyZAAwmGndHHXr1sX48eORmpqKAQMGYPny5VlmRE9KSsKGDRvw+uuvIzQ0FCqVKtsx5oBuDGPt2rURHByMadOmyRNiAbrXj7SGsbHaT548iRUrVsi3k5OT8fnnn+Pp06fo0qWL3GNC6uorreMtuXXrFiZMmGDweHOMHDkSCoUCv/32G3788ccss9anpKRg4cKF2L9/P2rUqCFPoiXVdejQIYOLC9HR0Rg7dqw8e39udUlj36dNm2YQKLVaLb7//nscP34coaGh8uvfy8sL0dHR+Pbbbw0mc0pKSpLfR6aMh5Z899138sUDQDdeVvq9DR48OMv+nTp1gpubG1avXg1RFE2a3EzfwIED0b59e4SGhqJnz57Yv39/lu62UVFRmD9/Pt5++20AulZHKeh37doV3t7eCAwMxNKlSw1C7KVLl/D999/jxo0bFpmZ2xjp/fro0SN88cUXBhfFIiMj8fnnn+Pu3bsoV65crhf4/P39oVKpcPny5Xx3OTbnM6x///5QKBT49ddfDT5To6Ki5L8hgGkXKkePHg0A+Oabb7Bq1SqDzwJAF4CnTp2KmzdvomXLlvLvp1mzZqhRowauXbuGX3/91eAxq1evxqVLl1CzZk1oNBqrvef0SSHeWFd4IrIOdhEnIouIjo42GBet1Wrx9OlT3LhxA48fP4ZSqcSXX36JDh065HgcpVKJb775BqNHj8ZHH32EOnXqwMfHB9HR0fIsuF9++SXc3NwA6EKFh4cHnj59irfffhuVK1fOdzfJevXqYdSoUQgICECZMmVw6tQpxMTEoEmTJhg5cqS8X+XKldGxY0fs3r0bb731ljwD7MmTJ6HRaFCtWjXcuXPH4NhSK8PChQtx/vx5vP7662jfvr3ROj755BNcu3YNp0+fRvv27eUJcE6dOoX4+Hg0a9bM5LHoefXNN9/g3r172LdvH9q2bYtGjRohMTERp06dQkpKCrp165ZlEjJzvPvuu/D29saUKVMwc+ZMzJ8/H7Vr10bp0qURGxuLy5cvy6G7QYMGmDJlitGTTIkgCJg3bx4GDRqEdevW4cCBA6hXrx5iYmJw5swZpKenY/jw4ejYsWOWxwYEBGDGjBnYvHkzKlWqhIsXL+LRo0fQaDQGJ/fvvvsuzp49iwULFmDfvn3w8fFBeHg4Ll68CEdHR/j4+CAsLCzX5dCy06xZM8yYMQNTp07Fzz//jD/++AP+/v7w8vLCs2fPcOnSJTx9+hSVK1fGL7/8Ige9Pn36YOXKlThy5Ag6duyIOnXqIC4uDufOnUNSUhKqV6+O27dv51pX+/bt8d5772HJkiV44403UKdOHXh7e+PGjRsIDQ2Fs7MzfvzxR/likTQG9d9//8XZs2fl1shLly4hMjISTZo0wWuvvWbS965QKFChQgV0794dL730EkRRxPHjx5Gamor3338fLVq0yPIYZ2dnvPrqq/jzzz9RsmTJHHvIZOeHH37AggULsGjRInzwwQfw8vKCr68v3N3dER4eLgdOpVKJ119/HZMmTZJ/7s7Ozvjhhx8wfPhwzJ49G6tWrYKvry9iYmJw7tw5iKIoh/iCMm3aNAQHB2P79u04evQo/Pz8IAgCzpw5g4SEBAQEBODjjz/O9Tiurq5o2rQpjh49iuvXr2fbO2b06NFQq9XZHmfXrl1wc3PL82dYzZo1MXr0aPzwww9488030aRJE7i4uODkyZNwcnKCs7MzEhMTTZoHo0ePHnj48CEWLFiAadOm4fvvv4e/vz88PDwQHR2NS5cuISEhAXXr1jX4myEIAv73v//h3Xffxfz58/H333+jRo0aCA4Oxo0bN+Dm5ob58+cDsN57Tp+06kPbtm1z/ZkQUeFgwCYii0hISMDWrVvl24IgwNnZGT4+PujYsSP69etndEydMR06dMAff/yBZcuW4fLly7h58yY8PDzwyiuvYPDgwXI3QkB3Qj537lzMmTNH7oqY3/HP48aNw4ULF7Bu3TpcuXIFFStWxODBg/Hee+9lOcGZO3cuFi1ahH/++QfHjx9H6dKl0b9/f4waNcpoK2nfvn1x48YN7N27F4cOHUK1atWyPfF2cnLCkiVLsGbNGvzzzz84ceIElEolatSogV69euGNN94waxI3U3h5eeHPP//EsmXLsHPnThw6dAjOzs4ICAjA22+/bbAWb3517doVLVq0wI4dO7B7924EBwfj8uXLcHJygo+PDxo3boxXX33V5BaaqlWrYvPmzVi8eDH27t2Lffv2wcPDAy1btsTAgQONhjRA97vp06cPlixZgn379qFMmTIYMmQIPvzwQ/mCDgB07NgRf/zxB3799VcEBQXh3r17KF++PHr27Ilhw4bh4MGDmD17Nvbv34+XX37ZrJ9Jr1690LRpU6xbtw7Hjh3D7du3cf78ebi6uqJ69ero1KkT+vbtazAhn4+PDzZs2IAffvgBFy5cwMGDB+Ht7Y2XXnoJAwYMgKenJ3r16oX9+/cbLCtkzMSJE9G4cWOsXr0aly9fxvXr11G+fHn06dMHw4cPN5hsydPTE6tXr8Yvv/yCw4cP48iRI1Cr1ahatSqGDh2K/v375xjG9AmCgD/++ANz587F7t27kZiYiFq1amHw4ME5vuYaNGiAP//8E927dzf5ufSpVCqMHTsWffr0wd9//41Dhw4hKCgIMTExcHd3R7169fDSSy+hZ8+eqFSpktHn37JlCxYvXozDhw/j0KFD8PT0RNOmTTFgwIACDdeA7v26fv16LF++HDt37sTp06fh4OCAqlWronv37nj77bfh5ORk0rH69OmDo0ePYvfu3dkG7Nw+Y6XeROZ8hn344YeoUqUKli9fjvPnz0OlUuHll1/G+PHj0atXLyQmJhq8H3MyYsQItGvXDuvXr8epU6dw9epVxMfHw8PDA/Xr10fXrl3Rq1cvg7WuAd1EnJs3b8Yvv/yCQ4cOYd++fXB3d8drr72G0aNHyxdKrfWekzx79gzHjx9H9erV5a7tRGR9gmiJqSKJiIiIrOSDDz7A/v37sXXr1gLrim0vtFotunXrhpiYGBw4cMCsCxbmCgkJkZdqyxx6Y2Ji0KxZM3h5eeHo0aOFVpMtW7lyJaZPn4758+db9KInEeUPx2ATERFRkSOtNbxjxw4cPHgQTZo0Ybi2AIVCgVGjRuHJkydZ5sEoaBs3bkT79u3lLtiStLQ0zJ49G6IoFnhvgKJCq9Vi7dq10Gg06Ny5s7XLISI9bMEmIiKiIuftt9/GtWvXkJycDKVSibVr18ozsFP+ffDBBwgKCsLOnTvNXu8+r8LCwtCrVy/ExsbihRdegEajQWpqKq5cuYLHjx+jRo0aWLNmTY4THdqLP//8E1OnTsXq1asREBBg7XKISA9bsImIiKjIadCgAZRKJV544QXMnz+f4drCZsyYgaSkJCxbtqzQntPHxwdbtmzB4MGDoVAocOTIEZw6dQpeXl74+OOPsWHDBoZr6JYP/OGHH/DBBx8wXBPZILZgExEREREREVkAW7CJiIiIiIiILIABm4iIiIiIiMgCGLCJiIqYBQsWwNfXN0//hYWFWbtsWUpKCrp16wZfX18EBwebdYzw8HD8/vvv6Nu3L1q3bo26deuiadOm6NOnD+bNm4dHjx5ZuOqib9WqVejYsSPq1q2LZs2aITAw0Nolme3y5cv46KOP8PLLL6Nu3bp46aWXMGrUKFy6dMno/lqtFn/99Rd69eqFBg0aoGnTpvjwww9x9epVk57v9OnTqFmzJjZs2JDtPnFxcZg/fz46d+4Mf39/tGrVClOmTEFkZGSx+R4z27ZtG3x9fTF+/HiTH0NEVNyprF0AERHlja+vL7p162awLTIyEseOHYOLiwvatWuX5TEuLi6FVV6u5s2bh1u3bpn9+MWLF+PHH39ESkoK3N3d4efnh/r16+Pp06e4fPkyLl++jKVLl2LatGno0aOH5Qovwo4fP45p06ZBqVTipZdegouLC1588UVrl2WWHTt2YMKECUhLS4NGo0H9+vURHByMwMBA7N+/H99++y1effVVg8d8/fXX+PPPP1GiRAk0b94cT548wd69e3Ho0CEsWrQIzZs3z/b5QkNDMW7cOOQ0ZU18fDwGDRqEK1euoFKlSmjdujVu3bqFdevWYf/+/diwYQPKli1bpL/HzB4+fIipU6eavD8Rkd0QiYioyDtx4oSo0WjENm3aWLuUHB0/flz09fUVNRqNqNFoxHv37uXp8d9//72o0WjEhg0bin/99ZeYmppqcH9KSoq4atUqsU6dOmLNmjXF8+fPW7D6ouvXX38VNRqNOHHiRGuXki/R0dFigwYNRI1GI27evNngvk2bNokajUasX7++GBkZKW/ft2+fqNFoxFdffdVg+7///ivWqlVLbNmypZiUlGT0+c6dOye+8sor8ut1/fr1RvebPXu2qNFoxHHjxsmvyfT0dHHmzJmiRqMRR40aVeS/R31arVYcMGCA/Jhx48aZ/P0RERV37CJORESF4unTp5g0aRKqVKmCMmXK5PnxV65cwS+//AJHR0csW7YMvXv3hkpl2BFLrVajX79+mDRpErRaLRYsWGCp8ou0lJQUAMhTK6ot2r17N+Li4tCpU6csvRN69uyJNm3aICEhAfv27ZO3//HHHwCATz/9FKVKlZK3d+rUCd26dUN4eDh27txpcKzY2FjMnj0bAwYMwOPHj1G+fPlsa4qLi8O6devg7OyMyZMny69JhUKBTz/9FD4+Pti9ezfu379fZL/HzJYuXYqTJ0+icePGJj+GiMheMGATEdmJAwcOYMiQIWjSpAn8/PzQqVMnfPfdd4iJicmyr6+vL1577TVERUVh0qRJaNq0KRo0aIC3334b//77r1nPP3XqVERERODbb7+Fg4NDnh+/fPlyiKKIwYMHo27dujnu++abb+LVV19F69ats9yXlJSERYsWoXv37qhXrx4aNmyIgQMHGgQWiTTefc+ePTh48CD69euHgIAANGzYEEOGDMHZs2cN9g8LC4Ovry8+/PBD7Ny5E23atIG/vz+6deuG+Ph4eb8dO3ZgwIABaNiwIerVq4fXX38dy5YtQ2pqapYa7ty5g08++QQdOnSQx+K+//77OHLkSK4/s5MnT8LX1xc//fQTAODXX3+Fr68vJk2aBAAYMGAAfH19cevWLQwcOBB+fn54+eWXsWvXLvkY586dw8iRI9GsWTPUrVsXbdq0wZQpU/Dw4cMsz9e2bVs0bdoUSUlJmDdvHtq2bQs/Pz907NgRS5cuBaALdlOmTMHLL78sv6ZOnDiR6/cCAGlpaahTpw5atGhh9P4XXngBgG6MPqALv2fPnoWLi4vRLtIdOnQAoHtv6FuxYgWWLl2KChUqYMWKFWjWrFm2NZ0+fRoJCQlo1KgRPD09De5TKpVo27YtAODgwYOmfIs2+T3qu3nzJubPn482bdqgV69eJj2GiMiecAw2EZEdmDt3LhYvXgylUomGDRuiZMmSuHDhAn7//Xfs3LkTy5cvR6VKlQwek5iYiIEDB+LevXto1qwZtFotTp48iY8++ggjR47EmDFjTH7+bdu2Ydu2bRgxYgTq1auX5/oTExOxZ88eADBpXLWDgwPmzZuXZfuzZ88waNAgXL16FaVKlULTpk2RmpqKM2fO4OTJk9l+X1u2bEFgYCBeeOEFtGjRAkFBQThy5AhOnjyJVatWoX79+gb737p1C+PHj0etWrVQvXp1iKIIV1dXAMDkyZOxYcMGODk5wd/fH+7u7jh79ixmzZqFQ4cO4ddff5UvQISEhKB///6IioqCn58fatWqhYiICBw4cAAHDhzAnDlzcvx5lC5dGt26dcPNmzdx69YtaDQa+Pr6IiAgwGC/0aNHIy4uDq1atcKVK1dQp04dAMDq1asxffp0aLVa1KtXD+XKlcONGzewbt06/Pvvv1i8eDH8/f0NjpWeno7BgwfjypUraNasGSpVqoSTJ09i9uzZiI+Px44dOxAZGYmAgAA8evQI58+fx3vvvYd169ZlOVZm77zzDt55551s7798+TIAoFy5cgCA27dvQ6vV4sUXX8zS2wEAqlWrBgBZ5gQoV64cvvjiC7z99ttwcHDAX3/9le1zBgUFAQBq1Khh9P7q1asbfY7s2OL3KElJScH48ePh6uqK6dOn49ChQyZ9T0RE9oQBm4iomNu3bx8WL14MT09P/P777/Dz8wOgO1n+5ptvsGHDBnz00UfYuHEjBEGQHxcWFgYvLy9s2rQJGo0GAHDp0iUMHjwYCxcuROvWrXMNREDGZEi1a9fGyJEjzfoebt++jYSEBJQpUwZVq1Y16xgAMG3aNFy9ehVdunTBjBkz5NB77949DB48GD///DMaNWqUpSUwMDAQ48ePx9ChQyEIArRaLcaOHYt///0XS5YswY8//miwf2hoKN555x1MmTIFgG6GZwD466+/sGHDBmg0GixcuFC+qBEXF4ePPvoIR44cwc8//4yxY8cC0LU4R0VF4ZtvvsFbb71lUM+oUaPw888/5xiwq1Wrhrlz52LBggW4desW2rZtKx9bX3JyMrZt24aSJUtCq9VCoVDg+vXrmD59OtRqNRYsWIBWrVrJ38vChQuxYMECjB49Grt27YKTk5N8rGfPniE0NBRbt26VW1uXLVuGWbNmYcGCBahduzZ27twpd2UeN24ctm3bhr/++suk11N2jhw5gjNnzsDR0VGu9fHjxwCQ7ZAEafuTJ08Mtr/xxhsmP29ERAQAwNvbO0/PYQ5rfY8SaYLCH3/8EaVLl87z44mI7AG7iBMRFXPLli0DoBufKYVrQNfK+/XXX6NKlSq4evWq0W66n332mRyuAcDf3x8jRoyAKIpYu3Ztrs8tiiImTpyIpKQkfPvtt1Cr1WZ9D1J32OzGEB8+fBjjx483+p/UwhgeHo5t27ahdOnSmDlzphyuAV2324kTJwLIGM+qr1atWhg2bJh8AUKhUKB///4Asm+ZfPfdd+WvFQqFwbFnzpxp0GPAzc0NM2fOhFqtxurVq+Ux01J4klorJR06dMBXX32F8ePHy+E9P15//XWULFnSoNYVK1ZAq9Vi6NChcpiT7h81ahSaNGmCR48eYevWrVmO995778nhGoDBrPdjx441GCfcuXNnALrWenMFBwfLv7/3339fDn9St3xnZ2ejj5MuDCQkJJj93NJj9S8yWPo5AOt+jwBw4sQJLFu2DN27d0enTp3ydSwiouKMAZuIqBhLS0vDuXPnIAiC0ZNilUqFjh07AtCN19WnVquNPkYa05l5f2OkyZDGjh2bbRdaU6Snp+d4/507d7B161aj/0kh9fTp00hPT4e/v7/RZctatmwJhUKBs2fPZnm+zF3AgYwWy6SkpCz3OTk5oUqVKgbbIiIi8N9//8lLi2VWtmxZ1KxZE8+ePcO1a9cAQJ5E6qOPPpK75ErP169fP3Tq1EkOxPnh6+ubZdvp06cBAF26dDH6mK5duwIATp06leW+zMMA9AN1rVq1DO5zd3cHoGtFN8edO3cwcOBAPHnyBG3atMGIESPk+5RKJQAY9MwwRszD8lSZ5fYc0rHz8xzW/h6lCQrLli2LL7/80uzjEBHZA3YRJyIqxmJiYpCamoqSJUvCzc3N6D4+Pj4AMlpLJeXLlzc6GZk027DUNTY70mRIjRs3NmjNNYfUgpu5Rsm7776b5TkGDBhgEP6kSbn27dtnNFBKEhMTERsbaxAKS5QokWU/KdgYa0GWQqO+R48eAdB1oc7p+aVa69evj8GDB+POnTvYsmULVq5ciZUrV8LBwQHNmjXDq6++im7dusl15IeHh0eWbdLvt2LFikYfk93rBkCWyb70w5/UUm7svrw6ffo0Ro0ahZiYGLRu3Ro//PCDwQUH6UKKsYsg+tuza/01RW7PIV04kJ7jzJkzWLduXZb9GjdubDAMQGIL3+PUqVPx6NEjLFmyxOhrhYiIMjBgExEVY1KrVU4hRtonc5jOrmVU2t/YhEr65s2bh5SUFAiCgE8//dTgvujoaADAnDlz4OLighEjRsiTMRnz4osvwsHBAeHh4QgLC5PDXV5IQbh69epZWlEtzdjPTmoV9/T0RMuWLXN8vDRuVq1WY86cORgxYgR2796Nw4cP4/z58zh06BAOHTqEDRs2YOnSpWbNyp5bvbm9drJ73QC5vzYsYcuWLZg8eTJSU1PRs2dPTJ8+PcvzSr0Mshv/nNv4ZVPk9TlCQkKMdqtXqVRZArYtfI+XL1/Gtm3b4OnpiU2bNmHTpk3yfWFhYQCA8+fPY/z48ahWrZpB6zoRkT1iwCYiKsY8PT2hVqsRExODuLg4o63YoaGhAAAvLy+D7Y8fP4YoilkClrSeb+ZxwZlJYz6NdSGW7N27F4BuwqWcAra7uzvatGmDXbt2YdOmTXmawVwiBYxatWph7ty5eX58fknP7+jomOfnf+GFFzB8+HAMHz4ciYmJOHDgAKZOnYozZ84gMDAQr776qsXr9fb2RlhYGMLCwox278/udVMYFi9eLP8MR40ahdGjRxvdr3r16lAoFPjvv//kydv03b59GwAM5hnIK+mx0rEyk+YAkPbr1auXSctb2cr3KL2PY2JijF4YACC/Tpo0acKATUR2j2OwiYiKMbVajYCAAGi1WgQGBma5Py0tTd7etGlTg/vi4+Plcbj6pOWycmuFXblyJW7evGn0P6nb8e7du3Hz5s0sz23M8OHDoVarsWjRIly6dCnHfaOiorKs0yyNZz59+jQSExOzPObq1avo3LkzxowZk6/xqtnx8fFBhQoVEB4ejhs3bmS5PzExEb169UL//v0RFhYGrVaLgQMH4uWXXzbo/uvs7IwuXbqge/fuAGB0PWpLkH5e+mti69u5cyeArK+bgrZmzRrMnTsXSqUSM2fOzDZ4ArqfVePGjfHs2TOjcwZIr339SdzyqlGjRnBxccGpU6fw7Nkzg/vS09Oxf/9+KBQKvPLKKyYf05a+x6ZNm2b7Pp41axYAyEvBrVy50qznICIqThiwiYiKuUGDBgEAvv32W3nyLABITU3F1KlTERISglq1aqFhw4ZZHjt16lSDMbbnz5+X12nOaa3eglC3bl2MHz8eqampGDBgAJYvXy7PoCxJSkrChg0b8PrrryM0NBQqlUoeM1qpUiW0a9cOjx49whdffIG4uDj5cZGRkfj8889x9+5dlCtXLl/jgnMi/S4+/fRTg1mzU1JSMHXqVFy9ehVxcXHw8fGBQqGAu7s7Hj9+jHnz5hlMvBYTEyOvQZyfpa1y0r9/fyiVSixevBhHjhyRt4uiiJ9++gmnT59G2bJl0b59+wJ5fmOCgoIwc+ZMALrXZu/evXN9TL9+/QDolmjTfy3v3r0b27Ztg7e3N1577TWza3J2dkavXr0QHx+Pr776Sp4BXhRFfPfddwgLC0OHDh2yrDOfHVv8HomIyHTsIk5EVMy1b98e7733HpYsWYI+ffqgYcOGKFmyJC5evIhHjx6hYsWKmD9/vtFxuHFxcejUqROaNWuGhIQEnDp1CqIoYurUqflaj9pc7777Lry9vTFlyhTMnDkT8+fPR+3atVG6dGnExsbi8uXLcuhu0KABpkyZgpo1a8qPnzZtGoKDg7F9+3YcPXoUfn5+EAQBZ86cQUJCAgICAvDxxx8XWP0DBw7ExYsXsWPHDrz22mvw8/ODp6cnLl26hIiICHh5eWHevHny/hMnTsSZM2ewfPly7NmzB7Vq1UJKSgrOnTuHuLg4dOvWDU2aNCmQWuvWrYvPPvsMM2bMwJAhQ1C/fn2UK1cON27cwL179+Dp6Ykffvgh28nzCsLChQuRmpoKV1dXnDx5MtuZ7Nu3by8v/9WpUyd069YNW7duRefOndGsWTNER0fj3LlzUKvVmDt3br7HsH/88cc4ceIEduzYgYsXL6Ju3boICgrCf//9h4oVK2Ly5MlF/nskIiLTMGATEdmBiRMnolGjRli1ahWuXLmC5ORk+Pj4YMSIERg8eLDRWbIBYPXq1fjf//6Hw4cPQ6FQoEWLFnj//ffRqFGjQv4OMnTt2hUtWrTAjh07sHv3bgQHB+Py5ctwcnKCj48PGjdujFdffRUNGjTI8lgvLy+sX78ey5cvx86dO3H69Gk4ODigatWq6N69O95+++1s1zO2BIVCgXnz5qFVq1bYsGEDbty4gbS0NFSoUAFdu3bFkCFD5EmrAKBy5cpYt24dfv31V5w8eRIHDhyAk5MTatSogd69e5vUupkfAwYMQK1atfDHH3/g3LlzuHbtGsqVK4dBgwZhyJAh2a5LXlCk8fzx8fHZjgcGdDOfS+ET0E2mV69ePaxfvx6HDx+Gh4cH2rZti9GjR1tkwjt3d3esXbsWCxcuxO7du7F//36ULVsW77zzDj788MM8TTBmq98jERGZRhALYqAZEREVadIyUlevXi2UGaGJiIiIigOOwSYiIiIiIiKyAAZsIiIiIiIiIgtgwCYiIiIiIiKyAI7BJiIiIiIiIrIAtmATERERERERWQADNhEREREREZEFMGATERERERERWUCxXdz0/PnzEEURarXa2qUQERERERFREZWamgpBEBAQEJDrvsU2YIuiCM7fRkRERERERPmRl1xZbAO21HLt5+dn5UqIiIiIiIioqLp8+bLJ+3IMNhEREREREZEFMGATERERERERWQADNhEREREREZEFMGATERERERERWQADNhEREREREZEFMGATERERERERWQADNhEREREREZEFMGATERERERERWQADNhEREREREZEFMGATERERERERWQADNhEREREREZEFMGATERERERERWQADNhEREREREZEFMGATERERERERWQADNhEREREREZEFMGATEVGexcbG4sKFCxBF0dqlEBEREdkMBmwiIsqzL7/8Eh988AGOHz9u7VKIiIiIbAYDNhER5dmpU6cAAP/++6+VKyEiIiKyHQzYRERERERERBbAgE1ERERERERkAQzYRERERERERBbAgE1ERGYTBMHaJRARERHZDAZsIiIyG5fpIiIiIsrAgE1ERERERERkAQzYRERERERERBbAgE1ERERERERkAQzYRERkNk5yRkRERJSBAZuIiMzGSc6IiIiIMjBgExGR2diCTURERJSBAZuIiIiIiIjIAhiwiYiIiIiIiCyAAZuIiMzGMdhEREREGRiwiYjIbByDTURERJSBAZuIiIiIiIjIAhiwiYiIiIiIiCyAAZuIiMzGMdhEREREGRiwiYiIiIiIiCyAAZuIiIiIiIjIAhiwiYiIiIiIiCyAAZuIiIiIiIjIAhiwiYiIiIiIiCyAAZuIiIiIiIjIAhiwiYiIiIiIiCyAAZuIiIiIiIjIAhiwiYiIiIiIiCyAAZuIiMwmCIK1SyAiIiKyGQzYRERkNlEUrV0CERERkc1gwCYiIiIiIiKyAAZsIiIiIiIiIgtgwCYiIiIiIiKyAAZsIiIiIiIiIgtgwCYiIiIiIiKyAAZsIiIiIiIiIgtgwCYiIiIiIiKyAAZsIiIiIiIiIgtgwCYiIiIiIiKyAJsN2Hfv3kVAQAA2bdpk7VKIiIiIiIiIcmWTATs1NRXjx49HQkKCtUshIiIiIiIiMolNBuwFCxbA1dXV2mUQERERERERmczmAvbp06fx559/Ys6cOdYuhYiIiIiIiMhkKmsXoO/p06f49NNPMXnyZJQvXz7fxxNFkd3MiYgKUFpaGj9niYiIqFgTRRGCIJi0r00F7K+//hr169dHt27dLHK81NRUXL9+3SLHIiKirJ4+fcrPWSIiIir2HBwcTNrPZgL2li1bcObMGWzdutVix1Sr1ahevbrFjkdERIY8PDxQq1Yta5dBREREVGBu375t8r42E7A3btyIyMhItG7d2mD7lClT8Mcff2D79u15PqYgCHBxcbFQhURElJlKpeLnLBERERVrpnYPB2woYM+dOxdJSUkG2zp27IgxY8aga9euVqqKiIiIiIiIyDQ2E7DLli1rdLuXlxcqVqxYyNUQERERERER5U2+AnZaWhoiIiIQFRUFpVKJMmXKwMvLK09N6ERERERERETFQZ4DdnJyMjZu3Ii9e/fi3LlzWbp1Ozk5oWXLlmjbti26dOkCR0dHs4u7efOm2Y8lIiIiIiIiKkwmB+yUlBT8/vvvWLlyJaKjo1GyZEkEBASgcuXK8PDwQFpaGqKjo/HgwQMcPnwYu3fvxnfffYfBgwejf//+cHJyKsjvg4iIiIiIiMiqTArYFy5cwOeff47o6Gh07doVXbp0QcOGDbPtCp6eno4LFy5g06ZNWLhwITZs2IDZs2cjICDAosUTERERERER2QqTAvawYcMwbNgwDBw40KSWaKVSiYYNG6Jhw4b47LPPsHjxYgwdOhRnz57Nd8FEREREREREtsikgL19+3Z4e3ub9QRubm4YO3Ys3nnnHbMeT0RERERERFQUKEzZydxwrS+7ZbiIiIiIiIiIigOTArYxKSkpuHbtmnz70qVL+OijjzBu3DhcvHjRIsURERERERERFRVmrYP98OFDDBgwAK6urvj7778RERGBQYMGITExEQAQGBiI1atXw8/Pz6LFEhEREREREdkqs1qwFyxYgPDwcPTq1QsAsGXLFiQmJuK7775DYGAgypYti0WLFlm0UCIiIiIiIiJbZlbAPnbsGPr164dBgwYBAA4dOoTSpUujW7duqFSpEt544w2cOXPGooUSERERERER2TKzAnZkZCRq1KgBAEhMTMSFCxfQpEkT+f5SpUohISHBMhUSERERERERFQFmBewyZcogMjISAHDixAmkpaWhefPm8v1BQUEoU6aMZSokIiIiIiIiKgLMmuTM398fa9euReXKlfHLL79ApVKhTZs2SEtLQ2BgIDZs2ICuXbtaulYiIiIiIiIim2VWC/a4ceMAAB9//DFu3ryJ4cOHw8vLC6dPn8bYsWPh6emJESNGWLRQIiIiIiIiIltmVgt2pUqV8M8//+DYsWMoX748/P39AQA1atTA2LFj8cYbb6BUqVIWLZSIiIiIiIjIlpkVsAHA3d0dnTp1MthWunRpvP/++/kuioiIiIiIiKioMTtgi6KIEydO4PHjx9BqtUb36dGjh7mHJyIiIiIiIipSzArYwcHBGDZsGEJDQw22i6IIQRDkfxmwiYiKN0EQrF0CERERkc0wK2DPnTsXoaGh6N27N/z8/ODg4GDpuohkT548wdKlS9GjRw95/XUiIiIiIiJbY1bAPnHiBPr27YuvvvrK0vUQZfHLL79g+/btuHDhAlavXm3tcohIjyiK1i6BiIiIyGaYtUxXWloaatWqZelaiIw6efIkAODOnTtWroSIMmMXcSIiIqIMZgXsOnXq4OrVq5auhYiIihi2YBMRERFlMCtgjxkzBn///Td27drFkysiIiIiIiIimDkGe8mSJShRogQ+/vhjODk5oWTJklm6CQqCgD179likSCIiIiIioqIkJSUFu3fvRuPGjVG2bFlrl0OFxKwW7Fu3bkGhUKB8+fIoWbIkAF03Qf3/slsbm4iIig+OwSYiIjJu8+bNmD59Or755htrl0KFyKwW7H379lm6DiIiIiIiomJD6s179uxZK1dChcmsFmx9oigiKioKcXFxlqiHiIiIiIiIqEgyqwUbAKKjo/Hdd99h9+7diI+PBwC4ubmhU6dO+OSTT1CqVCmLFUlERLaJE10SERERZTArYD99+hRvv/02goODUaVKFTRt2hTp6en477//8Ndff+HkyZPYvHkz3NzcLF0vERHZEI7BJiIiIspgVsD+5ZdfEBISgmnTpuGNN94wuO+vv/7Cl19+id9++w3jxo2zSJFk39hCRkRERERERYFZY7ADAwPx+uuvZwnXANCnTx/06NEDu3fvzndxRERk23gBjIiIiCiDWQH70aNHqF+/frb316tXDw8fPjS3JiIiKiLYRZyIiIgog1kBu0SJEnjw4EG294eFhXH8NRGRHWALNhEREVEGswJ206ZNsWbNGty9ezfLfXfu3MHatWvRpEmTfBdHREREREREVFSYNcnZyJEjsW/fPvTo0QOvv/46qlWrBkEQEBQUhH/++QeCIODDDz+0dK1kp9gFlYiIiIiIigKzAna1atXw+++/4/PPP8f69esN7qtUqRKmT58OjUZjkQKJGLCJiIiIiKgoMCtgA0CjRo2wa9cuXLt2DSEhIRBFEZUrV0bt2rWhUJjV85yIiIiIiIioyDI7YAO6lsU6deqgTp06lqqHKAtOokREREREREWBSQH7s88+w9tvv4169erJt3MjCAJmzpyZv+qIiIiIiIiIigiTAvbmzZvRvHlzOWBv3rw518cwYBMREREREZE9MSlg7927F6VKlTK4TURExEkIiYiIiDKYFLArVqyY420iIrJPnCOBiIiIKINJAfv06dNmHbxx48ZmPY5IH0/giWwXW7CJiIiIMpgUsAcMGGDWSdT169fz/BgiIiIiIiKiosikgD1y5Ei2UhAREREREZmIvTDtk0kBe/To0QVdBxERFUE8eSAiIiLKoLB2AUS5Ye8JItvF9ycRERFRBpNasNu1a5fnAwuCgD179uT5cURERERERERFkUkB25wugOw2SERERERE9oq9vOyTSQF73759BV0HEREVQbyYSkRERJSBY7CJiMhsvDpPRERElMGkFuyffvoJHTt2hEajkW/nRhAEjBw5Mn/VEYEtZEREREREVDSYHLCrVKnCgE1ERAZ4AYzINmi1WowcORIuLi743//+Z+1yiIjslkkBe8WKFahWrZrBbSIiIiKyDWFhYTh//jwAICUlBQ4ODlauiIjIPpkUsJs0aZLjbSIisk8cg01ke9izhIjIekwK2NkJDQ1FeHh4th/kjRs3zs/hiQDwBJ6IiCgvtFqttUsgIrJbZgXse/fuYfTo0bh9+3aO+12/ft2sooiIqGhgSxmR7WHAJiKyHrMC9owZM3Dnzh106dIFlStXhkqVr4ZwIiIqotjDhMg26F/sYsAmIrIes5LxhQsXMGjQIEycONHS9RARERFRPqSnp1u7BCIiu6Uw50FKpRJVqlSxdC1EREREZAb9FmwGbCIi6zErYLdt2xb79++3dC1ERFTEcAw2kW3Q7xbOLuJERNZjVhfxTz/9FAMGDMDIkSPRtWtXlClTxug4PM4iTkRUvHEMNpFt0A/VvPBFZBv4XrRPZgXsJ0+eIDExEXv37sW+ffuy3Y+ziBMREREVPP2AzS7iRETWY1bA/uabb/DgwQO0b98e1apVg1qttnRdRERERGQidhEnIrINZgXsy5cvcxZxIiJi9zciIqJscBiVfTJrkjNHR0dUrVrV0rUQEVERw5MHIiIiogxmBezWrVtj9+7dlq4FkZGRmDBhApo1a4aAgAAMHz4ct2/ftvjzEBEREREREVmaWV3Ehw4dimHDhuGDDz6QZxFXqbIeKq+ziI8YMQIKhQKLFy+Gi4sLfvjhB7z77rsIDAyEs7OzOaUSEVEBYhdxItug35uEPUuIiKzHrID92muvAQAePnyIgwcPZrtfXmYRj46Oho+PD0aMGIEaNWoAAD788EO8/vrrCAoKgr+/vzmlEhFRAeKJPJFtUCgyOiXyfUlEZD1mBeyRI0da/MO7ZMmSmDdvnnz7yZMn+OOPP1CuXDlUr17dos9FREREVJzon5cplUorVkJEZN/MCtijR4+2dB0GvvzyS6xfvx4ODg745Zdf4OLiYtZxRFFEQkKChaujwqbfBZW/TyLbkpaWxvclkQ1ITk6Wv05KSuL7ksgG6K9Jz/dk0SaKoskNzGYF7II2aNAgvPXWW1i7di1GjhyJNWvWoE6dOnk+Tmpqap66qZNtSk1Nlb/m75PItsTGxvJ9SWQDHj16JH99+/ZtPH782IrVEBEAJCYmyl/zb2XR5+DgYNJ+NhmwpS7h06ZNw4ULF7Bq1SrMmjUrz8dRq9XsXl4M6E+gV6tWLStWQkSZlShRgu9LIhvg6uoqf63RaFCqVCkrVkNEAAwmaebfyqItLytb2UzAjoyMxPHjx9GlSxd57JBCoUC1atUQERFh1jEFQTC7eznZDv3uGPx9EtkWpVLJ9yWRDdA/kXdxceH7ksgG6E8+yPdk0ZaX+cfMWge7IERERGDcuHE4deqUvC01NRXXrl1DtWrVrFgZERERUdHBWcSJiKzHZgJ2zZo18fLLL2Pq1Kk4c+YMbt26hYkTJ+Lp06d49913rV0eERERUZHA9emJbAMvdtknmwnYgiDg+++/R7NmzfDxxx/jjTfeQGxsLFavXo0KFSpYuzyyIn44ERER5Uw/VDNgExFZj9ljsOPi4rBz5048efLEYAp6iSAIGDlyZJ6O6e7ujq+//hpff/21uWURERER2R2GaiLbw/elfTIrYF++fBnvvfce4uLisn3hmBOwiYzhhxMREVHO9P9WarVaK1ZCRGTfzArY33//PZKSkjBmzBj4+fmZvCYYkTnYRZyIiChn+qGaAZuIyHrMCtjnzp3D4MGDMWLECEvXQ0RERER5xDHYRES2waxJzpRKJXx8fCxdCxERERGZgS3YRLaNF77sh1kBOyAgAKdPn7Z0LURERERkBrZgE9m25ORka5dAhcSsgD1+/HgcOHAAS5YswePHjy1dE5EBnjQQERERUVGjf96alJRkxUqoMJk1Bnv8+PFQKpX47rvv8N133xndRxAEXLt2LV/FEWWWnp4Olcrs1eWIiIiKPV6MJrIN+q3WCQkJ8PT0tF4xVGjMSiqenp58gZBVpKWlMWATERHlgKtvENmGhIQEo19T8WZWUlm5cqWl6yAyCSduISIiyhkDNpFtYMC2T2aNwSayFnZ7IyIiyoqhmsj2JCYmyl8zYNsPk1qwP/vsM7z99tuoV6+efDs3giBg5syZ+auOKBO2YBMREWWlUCiMfk1E1pGWlmYwBls/bFPxZlLA3rx5M5o3by4H7M2bN+f6GAZsKgg8aSAiIsoZW7OJrC/zrOEM2PbDpIC9d+9elCpVyuA2UWHRP1HgSQMREVFW/FtJZFsyB2oGbPthUsCuWLFijreJCgtPGoiIiLLi30ci25KSkpLjbSq+TOpvO2bMGNy/f9/sJ7l37x5Gjhxp9uOJJEql0tolEBERERHliAHbfpkUsL28vNC1a1d88803uHr1qskHv3DhAj777DN069YNZcqUMbtIIgkDNhERUVZcZYPItuhPcAYwYNsTk7qIT5kyBV27dsWUKVOwdu1a+Pj4oH379qhduzaqVKkCDw8PaLVaREdH4/79+zh37hxOnDiB4OBgVK1aFQsXLkTLli0L+nshO8CATURElJV+wOaKG0TWl56ebnA7LS3NSpVQYTMpYANA48aNsX37duzatQtLlizB0qVLjY73EUURCoUC9evXx+jRo9G1a1eOC6J84VV5IiKinOmHagZsIuvLHLAz36biy+SADegm0OjcuTM6d+6Mx48fy63UUVFRUCgUKFOmDCpWrIjmzZsbzDpORERERAWHAZvItmR+HzJg2488BWx9ZcqUQbdu3SxZCxERERGZQf/knQGbyPawR6/9MGmSMyIiIiKyXfqhmi1lRETWw4BNREREVMSxizgRkW1gwCYiIiIq4hiwiWxL5pVvuBKO/WDAJiIiIiri9Ffc4OobRNbHgG2/GLCJiIiIiji2YBPZFgZs+2XRgB0fH4+kpCRLHpKIiIiIcqEfqtmCTWR9DNj2y+yAfejQISxcuFC+PWfOHDRp0gSNGjXCjBkzLFIcEREREeUNAzaR9WUO1CqV2asjUxFjVsDev38/3n//ffz9998AgDNnzmDp0qWoWLEiAgICsGrVKqxZs8aihRIRERFR7hiwiayPLdj2y6yAvXTpUlSuXBkrVqwAAGzfvh0KhQJLly7FypUr0aZNG2zcuNGihZL9EgTB2iUQEREREZksc6BWKDj1lb0w6zd9/fp19O3bF2XLlgUAHD16FBqNBhUrVgQAtGzZEv/995/lqiQiIiIiIioiMgdqBmz7YdZvOi0tDW5ubgCA+/fvIyQkBE2bNpXv12q1HGdARERERER2iV3E7ZdZAdvHxwfXrl0DAOzatQuCIKBly5by/fv374ePj49lKiQiIiIik3FoFRGR9ZjVzNypUyf88ssvuH//Pk6dOoWyZcuiWbNmCAkJwfTp03H06FFMmjTJ0rUSERERUS4YsImsL/P7kO9L+2FWwP7www8RExODjRs3onz58pgxYwZUKhViYmJw5MgRvPnmmxgwYIClayUiIiIiI/THd/JEnsj2cHZ/+2FWwFYoFJg8eTImT55ssL1mzZrYv3+/PPkZkSXwA4mIiChn+gGbYz2JrI/nr/Yr39PZ3b17F0eOHEF0dDS0Wi1KlixpibqIiKgIYEsZkW1gCzaRbdFqtTnepuLL7IB94cIFdOvWDV27dsWwYcNw48YNnDt3Dq1bt8bOnTstWSMRERER5UC/1Zot2ETWx4Btv8wK2EFBQRg8eDCePHmC7t27y9udnZ2Rnp6O8ePH4/Tp0xYrkoiIbBO7wBHZBnYRJ7It6enpOd6m4susgL1gwQK4uLhg27ZtmDhxonyCFRAQgH/++QdlypTB4sWLLVooERHZHnZFJbIN+qFaP2wTkXUwYNsvsz6BT506hbfffhteXl5ZTq7Kli2Lt956S14nmyi/eAJPRESUM3YRJ7ItmbuEM2DbD7MCdnx8fI4zhZcoUQJPnz41uygiIiIiMh27iBPZlrS0NIPbDNj2w6yA7ePjg8uXL2d7/4kTJ1CxYkWziyLKDsd7EtkWvieJbAO7iBPZFnYRt19mfQK/9tpr2Lx5M3bv3i1vEwQBWq0WixYtQmBgIDp16mSxIokknIGRyLZwCAeRbdAP1QzYRNaXuQU7820qvlTmPGjYsGE4duwYPvroI3h4eEAQBEyZMgUxMTGIjY1FzZo18f7771u6ViKkp6ez6xsREVEm+he7GLCJrI8t2PbLrE9gBwcHLFu2DOPGjUPFihXh5OSEhw8fwsvLCyNGjMCaNWvg7Oxs6VqJkJqaau0SiIiIbBp7lhBZH1uw7ZdZLdgAoFarMXToUAwdOtSS9RBloT/Gkx9ORLaFY7CJiIiyYsC2X+xDRDZPf9w1P5yIbAtbyoiIiLJiwLZfJrVgt2vXLs8HFgQBe/bsyfPjiDLT/0BiF3EiIqKcsWcJkfVlPmdlwLYfJgVscz6o+eFOlpKSkmL0ayKyPn7WE9kG/d5enEyJyPoyB2o2EtkPkwL2vn37CroOIqNEUWTAJiIiyoV+wOaSlkTWxy7i9otjsMmmpaenG7SQMWAT2RaOwSayDfqt1mzBJrK+zC3WbMG2H2bPIv7w4UPs2rULCQkJWbolPXv2DEeOHMG///5rkSLJfiUnJxvcZsAmIiLKSr91jC1lRNbHgG2/zArYx48fx7Bhw+TWRUEQ5FZGqTXD29vbclWS3eKHE5Ft4xhsItvAgE1kW6RzVkEBiFqew9oTswL2b7/9BrVajc8//xwAMH36dPz888+Ii4vDypUrcfv2baxZs8aihZJ9ytxizRZsIiKirPRP3nkiT2R90jmrylGB1EQtz2HtiFljsK9du4Y333wT77zzDvr06QOFQgGVSoXu3btjxYoVKF26NH7++WdL10p2iAGbyPaw1ZrI9rAFm8i2yAHbSWlwm4o/swJ2QkICatSoAQBwcHCAj48Pbt68CQBwdnZGz549cfbsWctVSXaLAZvI9ujPu8FJzohsAwM2kW2RepKonBQGt6n4MytglyhRAnFxcfJtHx8f3LlzR77t7e2NiIiI/FdHdo8Bm8j26AdstmYT2QYuaUlkWzK3YDNg2w+zAna9evXwzz//yDM8V61aFWfOnJGXhbh16xZcXV0tVyXZLa4hSGR7uMYuke3RP3nn30oi65NbsB11cSvzyjhUfJkVsAcNGoQbN26gQ4cOiImJQbdu3RAWFobBgwdjypQpWLNmDRo2bGjpWskOsQWbyPaw1ZrI9ugHbP6tJLK+jBZsXdzihS/7YVbAbtq0KX744QeULl0aHh4e8Pf3x9ixY3H69Gn8+eefqFixIsaPH2/pWskOcZkuItsj9VYiItvBLuJEtiVzCzbfl/bDrGW6AKBDhw7o0KGDfPv999/H66+/jpiYGFSvXh0qldmHJpKxiziR7WEXcSLbw4BNZFukgK10YAu2vbFoCi5XrhzKlStnyUOSnWMLNpHtYcAmsj0M2ES2RQrUDNj2J09dxC9cuIBFixYZbHvw4AFGjRqFxo0bo2XLlpg5cybi4+MtWiTZLwZsItvDkwQi26M/gRInUyKyPmk4lVItyLc5h4l9MDlgz549G3379sX8+fPl1ou4uDi888472Lt3L5RKJby9vbFq1SoMHDiQQYgsggGbyPbot2BzPDaRbUhKSjL6NRFZh/T3UaFSZNlGxZtJAfvgwYNYtmwZGjZsiJ9++gkKhe5hixcvxqNHj+Dr64u9e/di48aNWLlyJW7evInVq1cXaOFkHzgGm8j26J8g8GSByDYwYBPZFulitKAU5G1swbYPJgXs9evX48UXX8SKFSvQrl07efu2bdsgCAJGjhwpr3vdsGFDdOnSBTt27MhzMTExMfjqq6/wyiuvoEGDBujbty/OnDmT5+NQ8ZF5HBlbsImsjwGbyPYwYBPZFilMC3ppi3OY2AeTAvbFixfx2muvyS3XABAaGor79+9DrVbjlVdeMdg/ICAAd+/ezXMxn3zyCS5evIh58+bhr7/+Qp06dTBkyBDcuXMnz8ei4iFzoObELUTWp9+ThL1KiGxDQkKC/HViYqIVKyEiQC9gC2zBtjcmBezY2FiULVvWYNvZs2cBAP7+/nB0dDS4T61W5zkIBQcH4+jRo5gyZQoaNWqEF198EV988QXKli2Lbdu25elYVHxwDDaR7eEYbCLbo99qrR+2icjKGKrtjkkB283NDTExMQbbTp48CUEQ0LRp0yz7h4SEoGTJknkqpGTJkli0aBHq1q0rbxMEAaIoIjY2Nk/HouIj84UatmATWZ9+wObVeCLboB+q2UWcyPqklmv9P5P6rdlUfJkUsOvUqYPDhw/Lt5OTk7Fv3z4AQKtWrQz2TUlJwfbt2w2Csik8PDzQqlUrODg4yNt27tyJkJAQvPzyy3k6FhUfUou1IKgMbhOR9eiHagZsItugH6rZRZzI+owFbLIPKlN26tOnDz7++GN8/fXXaN26NTZs2IDY2FjUrVsX/v7+8n5xcXGYMmUKHj58iEmTJuWrsLNnz+Lzzz9Hu3bt0LZtW7OOIYoiu0kVcdKa6oKggiimITExkb9TIivTP3lPS0vje5LIBui/D+Pi4vi+JLIyqbeXmJ6RsJOTkzm0qogSRdHkHggmBezOnTvjnXfewZo1a/Dnn39CFEWULl0a3377rbzPokWL8MsvvyAxMRGdOnVCx44dzasewJ49ezB+/HjUq1cP8+bNM/s4qampuH79utmPJ+uLiIgAkNGCHRsby98pkZXdv39f/johIYHvSSIb8OzZM/nrp0+f8n1JZGXSRS6tXsC+efOmwaTRVLTo97TOiUkBGwC++uor9OzZE2fOnIGbmxs6deoEDw8P+f6UlBR4e3ujd+/eGDJkSN4rfm7VqlWYMWMGOnTogLlz55r8jRijVqtRvXp1sx9P1ict/yYFbJVKhVq1almzJCK75+TkJH/t7u7O9ySRDdAfriEIAt+XRFZWokQJAIYt2HXq1LFWOZRPt2/fNnlfkwM2APj5+cHPz8/ofaNGjcKoUaPycrgs1qxZg2nTpmHAgAH4/PPP832FRxAEuLi45OsYZF1SNxpBoQag647K3ymRdem/B1UqFd+TRDZAfxLQ1NRUvi+JrEyt1p27Si3YSqWS78siLC8T1OUpYBeku3fvYubMmejQoQPef/99REZGyvc5OTnB3d3ditWRtUgnDFILdnJysjXLISIY/pHhjKhEtkE/YHPFDSLrUyqVADJasNk13H7YTMDetWsXUlNTERgYiMDAQIP7evbsidmzZ1upMrIm6SRBIagNbhOR9eifJPCEgcj6tFqtwSob/FtJZH3SBWgtA7bdsZmA/cEHH+CDDz6wdhlkY+QWbIXK4DYR2Qa2YBNZX+YlLLmkJZH1SYFamh6Bfy/tBy+lkE3L3EWcAZvI+vSvwvOEgcj6Mv9tTE5O5hr1RLaCAdvuMGCTTWPAJrJtPIknsj5jfxvZik1kXXKg5t9Ju8OATTZNOkEQno/BTk9Ph1artWZJRHZP/8RdmumfiKxHmgBUVAhZthGRdUgXoIXn70tekLYfJo3B3rJli1kH79Gjh1mPI5JktGArDbbpr8NLRIUrLS3N6NdEZB1JSUm6L9QqiClpEEQRiYmJXIGFyIqkBiEGbPtjUsCeNGlSnsYNiKIIQRAYsCnfMlqwM16qPKEnsi799yCHbRBZX2Jiou4LlRLQikBqWkboJiKrkAK2QqXLUDx/tR8mBexZs2YVdB1ERmUEbMMWbCKyHvlkHuBJPJENkN+TaqVuvGdqmsH7lIgKn3S+qnTQjciVhjlyua7iz6SA3bNnz4Kug8go+WqfoAAgABB5BZDIyuLj4+WvExISrFgJEQF670OpBRt8bxJZm3S+qnJUGGxzcHCwVklUSCx+CUWr1SImJgZbt2619KHJDkkTKAkQoAvYnFSJyNri4uKMfk1E1iGFaVGt0rViA2zBJrIyaaJBlZMiyzYq3kxqwc4sISEBs2fPxo4dO5CQkJDtoP1u3brlqzgiOUwLAgRBgCgyYBNZm34LdlxcnDzvBhFZh+EYbN24T/33KREVPul9qXZRQlAAohacfNBOmNWCvWDBAqxfvx4uLi6oVq0aAKBhw4aoXLkyRFGEk5MTvvnmG4sWSvYpI0yzBZvIVsTExMhfp6WlsSsqkZXJ70G1UteKDc6PQGRtUsBWOijkcdh8X9oHswL2nj17UL9+fezfvx+LFi2CKIqYOnUqdu3ahR9++AHJyclQKpW5H4goF8YCNtfBJrIu/YANANHR0dYphIgA6J20q5S6/8Au4kTWJl34Ujkq5HHY7FliH8wK2I8ePUKXLl2gVCpRvnx5eHp64uLFiwCATp06oUuXLli/fr1FCyX7JK8hKLAFm8hWZA7UmQM3ERUuYwGbLWVE1vX06VMAui7iamelwTYq3swK2CqVCq6urvLtypUrIygoSL7dpEkThIaG5r86smuiKBqO738+xJMt2ETWlTlQR0VFWacQIgKgt3ylUgEoBMNtRFTokpOT5QnN1M5KqBiw7YpZAbtSpUq4efOmwe1bt27Jt1NTU9kFgvLNMEgLz2cSZ8AmsjYpUIvP1/JkF3Ei65LDtEKhC9nQnYsRkXXExsYC0K0yq3JUwMFVabCdijezAna7du3w559/Yvny5UhNTUWDBg1w6tQpHDt2DE+ePMGGDRvg4+Nj6VrJzmQO2ByDTWQb5BZrFw/D20RkFdJ6u6JSoQvZYMAmsibp76KDqwqCQoCDq27yQV6Qtg9mBeyhQ4dCo9Fg9uzZSExMRM+ePeHt7Y0hQ4agZcuWuHXrFvr162fpWsnOMGAT2Z60tLSMK/AuuqVGGLCJrCtjSUsAAv9WElmbHLDddC3Xju5Kg+1UvJm1Drarqyv+/PNPHDx4EB4euhaMNWvW4Mcff0RMTAzatWuHXr16WbRQsj/6Jwf6S+zypIHIeqRwLQKAs5vBNiKyDvnvoiDIY7A5ISiR9UhB2tFdF7Ucnv/75MkTq9VEhcesgA0ASqUSbdu2lW+XLVsWM2bMsEhRRICRFmxelSeyOjlMq9SA2gEAZxEnsjaDgP38grTBJKFEVKgiIiIAAE4l1Lp/PXT/MmDbB7MDNgCcPHkSgYGBCA4OhlKpRNWqVdGlSxf4+/tbqj6yY4ZX3zMmOeNVeSLrkcO02oEBm8hGyGFa4HAqIlsgBWlHD13UcvJgC7Y9MStgp6amYvz48di9e7fBFdIDBw5g2bJl6N+/P7744guLFUn2iWOwiWyPHKZVDrr/wC7iRNam/3dR5JKWRFYnt2BLAdtT14IdGRmJtLQ0qFT5auMkG2fWb3fx4sXYtWsXOnbsiGHDhqFq1aoQRRG3b9/Gr7/+ilWrVuHFF19E3759LV0v2RHDMdgM2ES2ICEhQfeFUqX7T38bEVmFNIs4FII8izh7exFZjxywnwdrB1clBCWgTdfiyZMnKFeunDXLowJm1iziW7Zswcsvv4wff/wRfn5+cHNzg7u7OwICAvDrr7+iUaNGWLVqlaVrJTuTJUjzqjyR1SUlJem+UCgBpdJwGxFZhRymFZzkjMgWPHr0CADg/DxgCwpBHo8t3UfFl1kB++HDhwYTnOkTBAGdO3dGaGhovgojyhh+IBj8y4lbiKxHDtNKpS5kQzdsSG5BI6JCl5KSovtCbx3s5ORkK1ZEZL+SkpLw9OlTABkt2EBG2JZat6n4MitgV65cGXfv3s32/qioKJQvX97sooiA7IM0AzaR9cgn7YqMgG2wnYgKXWJiou4LlVL3H9izhMhawsPDAQBKRwXUzhl/J6WwLd1PxZdZAXvEiBFYt24dAgMDs9x3/vx5rFixAkOHDs13cWTfMrqCC8//zzHYRNZmcIFLyH4/Iio8BgFbrTuh59wIRNaRuXu4xKmEbt4SBuziz6RJzgYOHJhlm1qtxpgxY1C9enVUr14dCoUCISEhuHLlCkqVKoUzZ87gjTfesHjBZD/Ygk1ERJS7uLg4AIDooJave0nbiKhwPX78GEBGoJY4swXbbpgUsE+dOpXtfUFBQQgKCjLYFhkZiX/++Qdz5szJX3Vk1xikiYiIcieN94SjCtJfzmfPnlmtHiJ7lnkGcYk0yZkUwKn4Milg37hxo6DrIMqB4SRn7CJOZD26JfOe4zUwIqtLS0vL6A7uoIb0t5Lr0xNZhxywS2QK2JzkzG6YNQabqDBIS4wImcZ5MmATWY/y+dJcEEXoJ2x5OxEVKilIi4AuYDvqTuITExORmppqvcKI7JTcRdzDsB3T8fntqKgorrxRzJnUgm1MSkoKFi9ejJ07dyIsLAwODg4oX748OnfujCFDhsDBwcGSdZIdyjzJmZS0GbCJrMcgYOsN41CpzP5zQkT5IHcPd1Dp1sB2UEEUAEHUhe/SpUtbt0AiO/PkyRMAGYFa4uCihKAARK0uZHt7e1ujPCoEZrVgp6SkYODAgViwYAHu37+PF154AWXLlkVISAh++OEH9OvXL2NNRiIzZTeLuNSyTUSFLyNgaw0CtkLBDlFE1iCPtXZ43h1VEAC1yvA+Iio0UVFRAABHd8OALSgEODzfFhkZWeh1UeEx64xo0aJFuHDhAj744AOcPHkSW7ZswdatW3HixAmMGDECly9fxrJlyyxcKtkb+SKNoDD4l13eiKxHnnww89gNIrIKeYkutd4wjecBW76PiAqFKIpywHZwy9qzy9Eto5s4FV9mBezt27ejffv2+Pjjjw26gjs6OuKjjz5C+/btsXXrVosVSfZJCtiC/DJVGGwnosIn9yARBIOQzZ4lRNYhT3Cm1juZ51rYRFYRHx8v/z10cM06N4naRbeNkxAWb2YF7LCwMDRv3jzb+1966SWEhoaaXRQRoBewn7dcS/8yYBNZT0aQZsAmsgXSZEmiQq9XyfMhG5xIiahwScFZqRagVGeNWVLoZsAu3swK2C4uLjl2bYiKiuIkZ5Rvctc2QfdhJDz/l13eiKxHPmHP1ILNC19E1mHQq0Ty/EtOCkpUuKR5D1QuxlfWkFqwOT9C8WZWwA4ICMC6desQHR2d5b6oqCj8+eefCAgIyHdxZN+krm2CoDL4l13eiKxHvuqudgAUSogKniwQWZPReRG46gaRVcTHxwMAVI7GI5a0neeyxZtZ66p88MEHeOedd9CtWzcMGDAA1apVgyAICAoKwsqVKxETE4Nhw4ZZulayMxkB27AFmx9KRNYjB2yVOuPflHTExMSgYsWK1iuMyE4Zrk0Pg6+5Pj1R4TI1YEv7UfFkVsCuX78+5s6diylTpmD+/PkQnl8pFUURbm5umD17Nho1amTRQsn+SC1iCkF3Ii88/5ctZUTWkxGwnw8DUjsAKUkcT0ZkJVKIFvRbq7W6gM3l84gKV3JyMgBA6WD8vSdt53DH4s2sgA0AXbt2xSuvvIKjR48iNDQUoiiicuXKaNGiBdzc3CxZI9kpKUgLiuddxBUM2ETW9uTJE90XDo66f9W6fx8/fmyliojsmxyi9RqwpRZslcrs0zwiMoMcsFXGA7ZCxSVn7UG+Pnnd3NzQqVMnS9VCZEAO2HILtspgOxEVLlEU8eDBA90NRxfdv066f+XtRFSo5G7gWr2ErWUXcSJrkCb8VKgEo/dL26UgTsWTSQH7p59+yvOBBUHAyJEj8/w4IonU5VRquVYIDgbbiahwRUVFISkpSddQ5uis2/g8aD98+NBqdRHZs5zGYLOLOFHhklqmBWU2Afv5di6hV7wxYJPNiomJAZARrKWgzYBNZB0ZrdfO8jq7Ugt2WFiYlaoism8Zs4jrbdSbG4eICo/0nhOyubYlcAk9u2BSwF6xYkVB10GURZYW7Of/Pn36FGlpaRxbRlTIgoODdV88D9X6X0tzcQiC8av2RFQw5BN1I+89nsQTFS5pXXpBkc3fQgWX0LMHJiWUJk2aFHQdRFlERUUBABSK5y3Yz1uyAV3rdunSpa1SF5G9kgO2s95Els6uEKGbGyEqKgpeXl5WqY3IXsmTJemf0Cs4kRKRNcgt2Nnka7Zg24d8NQGmpaXh/PnzWbbXq1cPDg4ORh5BZJr09PSMLuIK3SzFgiBAEBwgiimIjo5mwCYqZEYDtkKpG4ednIDg4GAGbKJCJi33I6r0JjRT675OSkqyRklEdivXYRmCiftRkWZywBZFEcuXL8eqVauwZs0aeHt749mzZxgwYECWLoHDhw/H2LFjLV4s2Y+YmBi9q4BqebtC4YD09BRERkaiRo0a1iqPyC5lBGxXwzucXeWA3aBBg8IvjMiOyevp6gVsUaWEACA+Pt46RRHZKaNzIujhICr7YHLA/uSTT7Bz506UKVMGjx49gre3t3xf9+7dUalSJQDA33//jaVLl2LQoEEoVaqU5SsmuyCtqSsoHCDozRShUDgiPT0uYy1eIioUaWlpuH//vu6Gk5GAHfMYoaGhhV8YkZ17+vSp7gvHjIvR0tdc1pKocGU0DuU8Blsaq03Fk0kBe8+ePdi5cyfeeustfPHFF1m6f/fo0QMvvfQSAKBZs2bo378/Nm7ciGHDhlm+YrILUsBWKJwMtiuUTkAqEBERYY2yiOxWeHg40tLSIAqKjCW6JM8DNwM2UeGThlPBSe/czJGrbhBZQ8YkZ8bv5xhs+2DSAombN2/Giy++iK+//jrXsdWNGjVCQEAADh8+bJECyT5lBGxHg+3Sbel+Iioccnh2csk6e4szAzaRtURHRwMARP0WbCfd19JkoURUOHKbRVxaH5sBu3gzKWBfunQJXbt2NXn5lVdeeQW3b9/OV2Fk3x49egQAUCoMW8oUz29L9xNR4ZDXwNZfokvyfNvDhw85cQtRIYuMjNR94ZxxQVp8/rV8HxEVCmnmfoXSeGaStqekpBRaTVT4TArYMTExqFChQpbtjo6O6Nmzp8F4bADyBGhE5nr48CEAQKHMFLCf35buJ6LCIc974OCU9U61bltycjI/+4kKmfTeFF30enw9/5rzlRAVLmnSQaWD8YglbecM/8WbSWOwS5QoYXQmShcXF8yaNSvL9piYGE5wRvmSEbANT+aVz29LLWWm9qogovyRh2UYC9hKJUSVGkJaKh4/fgwPD4/CLY7ITomimPHe1AvYUtjmcCqiwiUFZ6WD8fNTpVq3XZ79n4olk1qwK1asiAsXLph80FOnTqFKlSrm1kQkz1asVBp2R9V1EReQnJzMrm9EhSjHgK23nSf0RIXn2bNnGS1hBi3YuvdjZGQk0tLSrFAZkX2Ki4sDAKiclEbvl7bHxcVxSFUxZlLAbteuHQIDA02awOb69es4evQoOnXqlO/iyD7FxcXJk7YoFYYBWxAU8sziYWFhhV4bkb2SlwJSZzPRpcrBcD8iKnDh4eEAnk9wprcONpwcIAoCtFotL0YTFSLp/NXBzXgnYQc33fs0PT2dQ6qKMZMCdq9eveDs7Ixhw4bhypUr2e5369YtjBkzBqVKlUL37t0tViTZFyk4C4IDBEXWDyipVZszFhMVHnmYkDKbkUUqleF+RFTg5DHWLoYrbkAhyNvYq4So8MgB29V4C7ZSpYDKSWGwLxU/Jo3BLl26NObMmYNRo0bhrbfeQrt27dCiRQuUL18eoigiIiICR44cwf79+yGKIhYtWgR3d/eCrp2KKSk4Z+4eLlEoXYDUSAZsokIkB2dVNn82lAzYRIXN6ARnEhdHID6JE50RFRIpEwGAo3v2EcvRQ4W0pBRERERwSG0xZVLABoDWrVtj/fr1mDx5Mnbv3o3AwECD+0VRRI0aNTB79mzUqVPH4oWS/ZADtsrV6P1KJdfcJSpsubZgP98ujT8jooKXbQs2dEt1CeBM4kSFJSoqSjd5mQA4l1Jnu59LKQfER6Tg/v37aNy4cSFWSIXF5IANALVr18amTZtw48YNHD9+HA8ePIAoiihbtiyaNGmCevXqFVSdZEdya8GWtoeEhBRaTUT2TBTFjBlPjQzbACAHbC49QlR45C6mTkbmRnBSG+5DRAVKmqDXqYQaSlX2o3BdvHTvV84lVHzlKWBLatasiZo1a1q6FiIAGR84ilwC9v3797lUF1EhSE5OzrihND6uDArddgZsosITExMDABCNBmzdNgZsosJx9+5dAIBrmWwmA33OtbSDwf5U/Jg0yRlRYZICduYZxCUKpTMA3Yk8Z0clKngGoVnBgE1kK6SADces3VGl0B0bG1uIFRHZr6CgIACAR/lslrN8zr2C7v7bt28XeE1kHQzYZFPi4+Plq+3ZtWDrlurShWx2ryEqeNL4a1GhALLrMcJJzogKnbwsnpGALW3j0nlEhUMK2O4VjEw6qMe9vO7+8PBwXgArphiwyaY8fPgQACAIaiiyG+uJjFZsaX8iKjhRUVG6L9Q5nDQ8Xx9b3peICpx0ci4aDdgqg32IqOCkpaXhxo0bAACPis457qt2UsLleTfxq1evFnhtVPgYsMmmSIFZCtDZUTJgExUakwK2g6PhvkRU4OTw7GSki7gju4gTFZZbt24hOTkZamcF3HIZgw0AJavozmMvXbpU0KWRFZgUsJcuXYo7d+4UdC1EcmBWKnIev6J4fj8DNlHBk0OzQ04t2BkBWxTFQqiKyL4lJSUhISFBd8Mx50nO+J4kKlhSUPas4gJBkfvkuyVf0A2DvHjxYoHWRdZhUsD+8ccfceHCBfl2u3btsHfv3oKqiexYeHg4gNxbsKX7IyIiCrwmInsXHBys+8Ixh/elgyNEQUBycrL8PiaigiNd+BIVAuBgZEiVsy5gp6SkcH16ogJ29uxZAEDJqsbnD8pM2u/q1aucHLQYMilgKxQKHD9+XJ685v79+xlrohaQhQsXYsCAAQX6HGR7pMCsMLEFmyfyRAXv1q1bui9cPbLfSaEEnN0M9yeiAiP34HJzNj75oEopj81+9OhRIVZGZF/S0tLkgF26hqtJj3Et4wDHEiqkpKSwm3gxZFLAbtmyJbZt24ZGjRqhVq1aEAQBEyZMQK1atbL9r3bt2mYXtWzZMvz4449mP56KLlMDttSFPCIigl3fiAqQKIryzKhwLZHzzs/vZ8AmKnhSaBZdc/h76cbhVEQF7fr160hISIDaRQmPCjmfv0oEQUDp6rowfurUqYIsj6wg+2ma9UyfPh3ly5fHrVu3kJKSgjNnzqBq1arw8vKyaDHh4eH44osvcPbsWVStWtWix6aiIaOLeC4t2M/vT0hIQFxcHNzd3Qu8NiJ7dP/+fTx79gyiIMgt1Nly9QAe6042iKhg3bt3T/eFR/ZdUkUPFwiRz3Dv3j288sorhVMYkZ05ceIEAMCruqtJ468lXjXccP9sLE6ePIlRo0YVVHlkBSYFbDc3N0ycOFG+XbNmTYwYMQLdunWzaDFXr15FiRIl8M8//+Dnn3/G/fv3LXp8sm1paWl4/PgxgNwnORMEJQRBDVFMxaNHjxiwiQrIuXPndF+4eQKKXDo9uZcEoJu0JT09HUqlsmCLI7Jj0uSzYsnsL3yJJd2Bu+GcqJaoAB07dgwAUKZmLhehMynj6woIuvWzIyIi4O3tXRDlkRWYtUzXihUr0Lx5c0vXgrZt2+J///sfKlWqZPFjk+2LjIxEeno6AAGCIofZip+TJjrj2DKigiONK0MJE3osuXlAVKoQFxeX0a2ciArE7du3AeQcsPH8PmlfIrKsyMhIuddWGd+8BWwHVxU8K+nOZaWQTsWDSS3YmTVp0gQAsGXLFuzcuRNhYWFwcHBA+fLl0blzZ3Tv3t2iRZpLFMWMJSzI5klX2BVKZwjGJmzJRKlwRjqe4t69e2jYsGFBl0dkd0RRxJkzZ3Q3PEwI2IIC8CgFREfg+PHjqFy5csEWSGSnHj9+rJuDRABQKvseXKKXbmLCu3fv4smTJ3BxMW2GYyIyzcGDBwEAHhWd4Oie91hV2tcNMSGJOHz4MDp27Gjp8siCRFE0KZ8AZgZsURQxZswY7NmzB6Iowt3dHVqtFtevX8f+/fvx77//YuHCheYc2qJSU1M5FrAIkU7klQrTTgAUSt1+V65cydekekRk3JMnTxAZGakbf/28+3eungfsY8eOwd/fv2ALJLJT8tKpnm6AOodTORdHiK5O0MYnITAwEBqNplDqI7IXgYGBAADvWnlrvZZ413LD7cDHOH36NC5dugS1Wm3J8sjCHBwcTNrPrIC9atUqBAYGonv37hg3bhzKli0LQDdL5ffff49//vkHa9euRd++fc05vMWo1WpUr17dqjWQ6Q4fPgwg9zWwJcrnATs+Ph61atUqsLqI7NXevXt1X7iWAEwdT/08iIeFhaFmzZomX+0lItMdOHAAACCWyWVm/+f7CPFJePr0Kf9WEllQamoqbt68CQAoU9O8uYCklu/kZylITk7mhWkblpehNmYF7I0bN6JJkyb49ttvDbaXL18ec+bMwaNHj7Bx40arB2xBENgdqggJCQkBAKhUpl0FVKp0yxsEBwfz90xUAOTlttw9TX+QawmIgoDo6GjExsaiQoUKBVIbkT27fPkyAEAsl3vPErFsSeBeOK5cucK/lUQWdPbsWSQkJMDBTYkSPqYtz5WZIAgoU9MNYadjcO7cObRq1crCVZKl5KXBwKxJzu7evYsOHTpke3/79u3x33//mXNosmPSlSGlyrSrgEqlbr/Hjx8jNja2wOoisldXr17VfeHmafqDlErdcl3QDd8gIsuKj4+XL36JZU0I2M9D+OXLl5GamlqgtRHZk6NHjwLQTW6Wl+W5MivzvHu5dDwq+swK2CqVKsfJwxISEtgtkPIkNjYWERERAACl0rQWbIVCBYVC152cM6QSWZZWq81Y2sct926oBlx1+3NpICLLO3/+PLRaLUR3Z8DVhFYzT1eITmokJSXh2rVrBV8gkZ0wd3muzLyqu0JQCggLC5N7c1LRZlbArlu3LjZt2oTk5OQs9yUmJmLTpk35nnRq9uzZWLlyZb6OQUWHNBmdQukChcL0CR5UKl1LGU8aiCzr8ePHSE5O1k1w5pjHbqXOupMNnigQWZ40IahYvpRpDxAEiOV0+8rL7hFRvoSHh+PevXuAAJSukb+ArXZSouQLugajkydPWqA6sjazAvZ7772H4OBg9OnTB9u2bcONGzdw48YNbN26FW+88QZCQkIwePBgS9dKxZjUFVWlyltLmUpdwuDxRGQZcjh2dAEUefxT4exqeAwishgpJJscsPX2PX36dIHURGRvTp06BQDwrOQMtYuJk4DmoLTGzeC4VLSZNclZq1at8Omnn2LevHmYMGGCwX0KhQJjx45F27ZtLVIg2QepBVoKzKaSAjkDNpFlBQcH6754HpbzxEn3mLCwMGi1WijyGtCJyKiYmBgEBQUBgNwqbQppHPaVK1eQlJQEJyfzJmQiIh2ppbm0xoy/kUaUruGKWzt1F9DS0tKgUpkV0chGmP3be++999ChQwfs2bMHISEhEEURlStXRocOHVCpUiVL1kjFnCiK8mRIeW/B9gAg4PHjx4iIiIC3t3cBVEhkf+TWZ7MCtjNEQYHk5GQ8evSIM4kTWci5c+cAAKKnG+Bs2nqsAAAPF4gujkhNSMalS5fQpEmTAqqQqPgTRVHuSeJV3TIB26OCE9QuSiQkJODGjRuoW7euRY5L1pGvyyOVKlViV3DKt9DQ0OezgCvkMdWmEgQVlCo3pKc9w5UrV9hzgshCMlqwzRhbJigAJxcgMQ7BwcEM2EQWIgfs8rnPHm7g+Ths4b+HOH/+PAM2UT7cu3cP0dHRUKgElKjsbJFjCgoBpV50QfiVZzh37hwDdhHHfntkdRnjrz0gCHl/SapUngAy1gUlovzLV8DWe5x8HCLKt/PnzwMwbXmuzMRyngCACxcuWLAiIvsjvQ9LvuAMpcpyUarUi7oJRaULaVR0MWCT1Zk7/loiPe7GjRsWq4nInsXGxuLRo0e6G+YGbBfd46T1eokof2JjY+Wl76Qx1XkhPebq1atGV4EhItNIF6lKVrVM93BJqRd1x7t06RLS09MtemwqXAzYZHXSEl157R4ukcZt37hxgx9IRBYgz1Ls7Aao8zDOU59HxrJAoihaqjQiuyX19hI9XAAnM96X7i4QnRyQkpLCC19E+XDp0iUAkJfWshT3co5QOSmQkJAgX0yjookBm6wqLS1N/kOf1wnOJEqlKwAlEhMTuSwQkQXIa+WWKG3+QdxLAYKA8PBwhIWFWaYwIjsmDYMSy5j3txKCID+WQ6qIzBMeHo5Hjx5BUACelV0semxBIcDz+ZjuixcvWvTYVLgYsMmqQkJCkJKSAghKKJTmfVAJggCVyh0Au6MSWcKZM2d0X5TwMv8gSiVEd12XVK69S5R/0moboren2ceQAjaXtiQyj9R67V7eCSpHy8eoki+4GDwPFU1mzSL+4MGDHO8XBAEODg4oWbIk1z+lHMmt10p3CIJg9nGUKnekpcXg1q1b6NSpk6XKI7I7N27c0E1MJijyF7ABwLMM8DQKgYGB6NWrl2UKJLJDoijK84yIpc0bTgUAeB6wpblPiChvpJZlKQhbGgN28WBWwG7btq1JYUipVMLPzw8TJ05E/fr1zXkqKuaCgoIA6AJyfqhU7kgGcPv2bQtURWS//vnnHwCA6FUOUKnzd7AyFYGQmzh//jxCQkJQuXJlC1RIZH/CwsLw7NkziAoFUNLMiQcBiKV0f2sfPnyImJgYeHp6WqhCIvtQUOOvJSUqOUNQ6Lqih4eHo2zZsgXyPFSwzGpeHj16NEqU0F0Fbd68OQYMGIChQ4eibdu2UKvVcHJyQufOndG0aVNcu3YNgwYN4gzPZFTG+Ov8BmwP+XicUInIPElJSdi1a5fuhnel/B/Q0RliSW8AGcGdiPJOmgwUpdyA/PQMdFTrJknTPyYRmeTZs2dyQ05BtWCrHBXwqOAEIGM5MCp6zPqUdnR0RHJyMtasWYM//vgDn3/+OcaNG4eff/4ZGzduhFKpREBAAP744w/s3LkTJUuWxG+//Wbp2qmIE0URN2/eBGD+BGcSpcoNgIDo6GhERERYoDoi+xMYGIj4+HiIjs757x4ueR7Ut2/fjqSkJMsck8jOSGFYLJ2/v5W6Y3gYHJOITHPx4kVotVq4lHaAU4l89vDKgbRcF9fDLrrMCtjr1q1Dv379EBAQkOW+GjVqoF+/fli5ciUAoEKFCnjjjTc4yQ1l8fDhQzx9+hSA8Dwgm08QlM9nE+d62ETmSE9Px6pVq3Q3ylUB8jEngoGS3hAdnBEdHY3t27db5phEdkYO2F75GH/9nHQMjsMmyhsp8Hq9WDCt15JS1VwMno+KHrMC9uPHj1G+fPls7/f29sajR4/k22XLlsWzZ8/MeSoqxi5cuABA171bEPI/GZ5K7WlwXCIy3cGDBxEcHAxRqdIFbEtRKICKVQEAq1atQlpamuWOTWQH0tLSMgK2uUt06dGfSZxDqohMd+LECQBAqWquBfo8Jau6QFDo5l4IDQ0t0OeigmFWqqlUqRL27NmT7f379u1DhQoV5NvBwcEoU6aMOU9FxZi01q5KXcoix1M/P468hi8RmUQURSxfvlx3o/wLgNKs+S+z510ZosoBDx8+RGBgoGWPTVTMBQUFITk5GaKDCihhgZYzLw+ICt2Qqvv37+f/eER24MGDB/jvv/8gKIDSvvnrdZkbtZMSJavq3uvHjh0r0OeigmFWwH7rrbdw/PhxjB49GleuXEF8fDxSU1Nx8+ZNfPbZZzh27Bh69+4NAPj777+xbt06tGjRwqKFU9EmiqIchNUOlg3YQUFBiI2NtcgxiezByZMndfMhKJRA+aqWfwKlEqigO+6KFSug1Wot/xxExZTUK0v09rTM0A2lAnjeTZw9vohMc/ToUQCAZxUXOLgoC/z5vGvqJv89fPhwgT8XWZ5ZAXvAgAHo27cvAgMD8cYbb6BRo0bw9/dHjx49sHnzZvTo0QNDhw5FYmIiJk6cCGdnZ3zwwQeWrp2KsGvXrj0fRqCE+nnX7vxSKB2hVLpDFEXs37/fIsckKu5EUcSSJUt0X5etDKgdCuaJylWBqFTh7t27OHjwYME8B1ExdObMGQCAWK6kxY4pli9lcGwiytnu3bsBAGVr52/VG1N519E9z7lz5xAZGVkoz0mWY/bA1ylTpmD9+vV499130bp1a7Ro0QL9+vXDmjVrMGvWLCgUCqSnp2PevHnYsWNHjmO2yf5I3UQdHMtAECzXHdXRqZzB8YkoZ+fOndOt6ykogIovFtwTqdS67ucAli5dyrGfRCZIS0uTl+qRQrEl6AdsvheJchYaGorLly8DAlA+IP8TDZrCtbQDPCs7Q6vVZiyfSUVGvpKNv78//P39s73fzc0NXbt2zc9TUDGUlpYmB2BHR8teeHFwLI+E+CCcO3cO4eHhKFu2rEWPT1TcLF26FAAglq0EODgV7JOVrwo8uItbt27h2LFjHDpElIuzZ88iISEBopMDUMpyLWdimRIQVUo8efIE169fR+3atS12bKLiZufOnQCA0jVc4eRRcMtzZVahYQnEhCRi+/bt6Nu3LwRLre5BBS5fUzdv2bIF77//Pl599VX07NkTI0eOxD///GOp2qiY2rNnDyIjIyEIDlA7lLbosZVKZ6jUpSCKItavX2/RYxMVN1euXNF1ERUEoEIBtl5L1A4Qn89QvmzZMracEeVCGu4kVi5juaXzAEClhOhT2uA5iCirpKQkbN68GQDg08izUJ+7fL0SUKgF3Llzh0t2FTFmBWxRFDF69Gh89tlnOHjwICIiIhASEoK9e/di4sSJ+PDDDy1dJxUToihi9erVAAAn5yoWWZ4rM2fnFwDoLgDFx8db/PhExcWKFSsAAGLpioBTwa7rKatQFRAUuHz5stz1lYiySklJwYEDBwAAYhXL98YSq3gD0F30Tk9Pt/jxiYqDf//9F9HR0XAuqUZZv8LpHi5xcFHKoV46d6aiwax0s2rVKgQGBqJbt244ePAgTp8+jbNnz2L//v3o3r079u/fj7Vr11q6VioGTp48iaCgIABKODn7FMhzqB1KQ6l0RXx8PDZu3Fggz0FU1N25cweHDh3S3ahYrfCe2MEJorfuvS8vDUZEWezZswcxMTEQXRwhlrfcBGcSsVIZiA4qPHz4kEsBERmRlpYmB9sXWpaCQln4XbRfeMULEHTLdenOn6koMCtgb9y4EU2aNMG3335rMMa1fPnymDNnDpo0acJgQ1lotVosXLgQAODk7AOFomBmKxYEAU4uuiWBVq5ciadPnxbI8xAVZfLYa69ygEvBrumZRcVqAAScPHkSV65cKdznJioC9Ic5aWtWAhSW7+0FlRKipiIA4M8//7T88YmKuG3btiE0NBRqvZbkwubq5YByz1vOf/nlF6vUQHln1if23bt30aFDh2zvb9++Pf777z+zi6Liaffu3bh16xYEQQVnl4Id7+noWAFKpRuePXvGVjKiTC5cuIA9e/bobvhUL/wCnFwgeutO7OfNm8d1sYkyOXjwIG7cuAFRqZBDcEHQ+lYCBAFnzpzB2bNnC+x5iIqahIQELF68GABQvX1pqJwKfu3r7Gg6lYGg0LVic2m9osGsgK1SqZCQkJDt/QkJCZzpjgwkJSXh119/BQA4u1QtsNZriSAIcHHVAAA2bNiABw8eFOjzERUV0vKJwPOZw11LWKeQyr6AQolr167h33//tU4NRDYoJSUFCxYsAACIdaoATgX499LdGVpf3ZCN77//nmOxiZ5bvXo1IiMj4VxKjcrNLLdEnjlcyziicjPdMJEff/wRaWlpVq2HcmdWwK5bty42bdqE5OTkLPclJiZi06ZNXPKBDCxbtgyPHj2CQuEEJ+cqhfKcaofSUKtLISUlBf/73/84YzERdF3ebt26BShVupBrLQ5OECvVAAD8/PPPnJCQ6LmVK1fi/v37EJ0doPV7ocCfT1v/RYgOKgQFBeGvv/4q8OcjsnXXr1+Xez9W71jG6PljepoWaSmG/2XeT9SKWfbRphs5VqZ90lOz9uqq2qY0lI4Cbt26xfdpESCIZqSOgwcP4v3330eNGjXw/vvvo3p1XRfDoKAg/Pbbb7hz5w5+/vlntG3b1uIFm+ry5csAAD8/P6vVQDr37t1D//79kZaWBjeP+nB0LLy1qdPS4hAbfQyAiDlz5qBVq1aF9txEtubu3bsYOnQo4uPjIb5QWzejtzVp04ELhyAkJaB9+/aYNm0aez+RXbtw4QI+/PBDaLVapLesC7Fa+UJ5XuF6KJQnb0CtVuOPP/6ARqMplOclsjVarRbNmzc32OZdxx0NB1Uy2Hbpz/u4fzbWYFv7qb5QO2d0JY+8E49TvwUb7FOzW1lUbellsO3ArCAkRqfKt93LO+LlsYaTjwbtjsDtPU8AAM7OzlizZg3Kly+czwfSyUu2NKsFu1WrVvj0009x9+5dTJgwAT179kTPnj3lbWPHjrVquCbbodVq8e233yItLQ1qh9JwcPAu1OdXqdzkZbvmzZvHVjKyW7GxsRg/frwuXHuUAsoVTk+SHCmUQPV6gCBgz549WLJkibUrIrKa2NhYfPXVV9BqtdC+WB7ii+UK7bnFmj7Q+pRGamoqJk+enOMwQKLibMuWLdYuIVeJiYmYM2cOe2baMLNasCWhoaHYs2cPQkJCIIoiKleujA4dOqBSpUq5P7iAsQXbNvz111+YO3cuAAU8S7WAUllIa+3qEcV0xEQdhVabiB49emDSpEmFXgORNaWmpmLMmDE4f/48REdnwL8FoHa0dlkZwkMg3NF9Zk+fPh3t27e3ckFEhSspKQkff/wxLly4ANHDBendmgJqVSEXkQLlPycgJCSjefPm+Pbbb6FSFXINRFYUEhKCgQMHIikpCZou3qjSQjf2WhAApdqwTTI9TQsxU09upVow6IUlakWkpxnGLIVSyLLcV3qKFvp7GXs+bZoIrVZEfEQyTiy8B22aiAkTJqB3795mfreUV3nJlvkK2NlJSUlBSkoK3NwKeekXPQzY1vfgwQP069cPiYmJcHGrCedCGnttTGpKFJ7GngYA/PDDD2jatKnVaiEqTOnp6Zg5cya2b98OKFUQ/ZoDLu7WLiuru9cgPLwLBwcHLFiwAPXq1bN2RUSFIi0tDV988QUOHjwI0UGF9C6NgJJWeo9GxEC16yyQrkXXrl3x5ZdfctgG2YW0tDQMHz4c165dg1d1FzQeWgWCwjZf+3cPR+LG1nA4OjpixYoVqFLFBnqk2YEC7yKemxkzZqBJkyYFcWgqItLT0zFt2jQkJiZCpS4JJ6fKVq1H7VBKrmHmzJlcG5vsQmpqKqZMmaIL1wBETYBthmsAeKEWRM8ySElJwUcffYTjx49buyKiApeeno45c+bg4MGDgFKB9Lb1rBeuAcDbE+mt/QFBwI4dO/DDDz+wGyrZhd9//x3Xrl2DylkBvzcr2my4BoAXWpSCVw1XJCcn46uvvkJKSoq1S6JMCiRgA+AHsp1bsmQJzp8/D0FQws29rk1cAXdxqwGF0gXh4eGYPn06X6NUrCUmJmL8+PG69a4FQReuSxbuHAh5IgiAbwOInmWQlJSE8ePHY/fu3dauiqjApKWlYerUqdi6dSsAIP2VukA56y4HBABipTJIb14LALBu3Tp8++23XKueirUTJ07Is4bX7Vkezp5qK1eUM0EhwP/NClC7KHHz5k38+OOP1i6JMimwgE3269SpU/JkRa5uta0y7toYQVDB3b0eAAUOHTqEP//809olERWI2NhYjBo1CidPngQUSoi1GgOlK1i7rNwpVUDNRhBLV0B6ejqmTJnC5UioWEpOTsakSZN0F5EEAemt/CBWKbwVNnIj1qgoh+zNmzdj6tSpXHuXiqXw8HBMmTIFoiiiUrOSKF+/hLVLMolTCTX839L9Xf/rr78QGBho5YpIHwM2WdTDhw/x9ddfQxRFODpVhKOTbZ3Uq9QecHHTLT/y008/4cKFC9YtiMjCQkJCMHz4cFy9ehVQqSHWaQp4lrF2WaZTKP7f3n3HN1X9fxx/3STde086KHsXyt44QFGcCIiKXxBQvzIc8HOC+hUXyHCL4kRFRUSRLbKX7LJHKaOU7tLdpknu74/Q0LSFFimk4/N8PPpoe3OTnF5Ict/3nPM50LgdamA4qqoyY8YMPvzwQ4xGo61bJkS1yMzMZPz48WzatMkyLFyNvHEVw6tKbRKKsVdrUBRWrlzJs88+S05Ojq2bJUS10ev1vPzyy2RlZeEe4kjzO2vORa6q8G/uRsO+5iW/3nzrTeLj423cIlFCAraoNllZWTz99NNkZGSg1bri4trc1k2qkKNjGPYOARgMBiZNmiRvSKLWKygooKCggA0bNjBy5EhOnz6Nau+I2qoruHmZdzIZwWiw/io7TUJVy+9T0dBQY9nHqiD8mkz/8vmM5uHikS1RGzQGYP78+Tz77LOkpqZWw9ESwnbi4uIYOXIk+/btQ7XTYbw5GrVBzb0ApjYMNM8L12rYvn07jz32GGfPnrV1s4S4Zqqq8u6777J//350jhraPRRarnJ3bdD4Vn+8GzpTkF/ApEmTyMrKqvxO4rq7LlXEp06dys8//8zhw4er+6GrTKqI31iFhYWMHz+e2NhYNBpH3D07o9U62rpZl6WqRrIv7MBgyCIgIIDPP/8cf/8aPD9ViCvo0qWL1e+qVgfRvcG+1Gvw+D6U1ATr/TrdCrpSc82y0lEObrPeJ6IFBEdaP+Guv1GKCi7t4+wO7Xpa73PmGErCcevHatsDXEoNvyvMR9m91nqfoAiIbHlpQ+o5lON7Lb/+/PPPhIXZtmiiEP/Gxo0bmTJlCgUFBahuThhvageetltt5aqkZ6Ndsxclvwh3d3fefPNNYmJibN0qIf61n376iVmzZoECMSPD8GtaS16LFSjKNbD1g3gKMovp2LEjs2bNkiX2roOryZZVOvo7duy4qgakpKRc1f6idisoKOCll14iNjYW0OLq3haNRoeqGlEUrdW+qmoCyvaIaa3XDVRVoGyPmAZFsb6yqKpGsF458CqeT4ubR3uyLmwnOTmZiRMnMnv2bAnZotapsHqou7d1uK7N/EJQE0+i5Jkr/48aNYo33nhDltoTtYbBYODTTz9l/vz5AJgCvTD1aQOO9jZu2VXwccd4R2e0f+8lOy2b8ePH89hjj/Hoo4+i0dS+Xj9Rv23evJk5788BoNnAgFodrgEcXHW0H9GAbR/Fs2PHDmbOnMmkSZNqRIHh+qpKPdjNmjW7qn8kVVVRFEV6sOuBjIwMnnvuOQ4dOlTuNjt7f9w9oq225Wbvp6go0Wqbl08/NJpLvWil16wu4ezSFCfnCKttmenrMZkKLb9rtW54enez2ic/7wQF+XFW2zy8uqLTuQNgNOaTdeEfVFMR/v7+zJo1i6ioqEr+aiFqhrNnz/LSSy9x7NgxANSwphAYbp7HrLG+2ITJWH6ItkZrHo5dQlXN+5WmaMyPV5qx/MUttGWfzwRqmYtbVXo+pXzbjUbQF8KxPSh5WSiKwsiRIxk5ciTass8rRA1y5swZXn/9dQ4cOACAqWkops5NrV9TRhOYyrw2dRrr14pJNe9XmlYp/9o0GMu9NNGVfT1V8HxaDWjKvDYNZV+/Cqgqmm1H0Jwwf4537tyZV199FS8vr/J/vBA10N69exk/fjx6vZ6QGA9aDw6uM0E0aX82e+YngGq+GD169GhbN6lOqfYe7LvvvrvO/OcT1efMmTM8/fTTnDt3DkWxQ1WLbd2kq6bVOuPh2YnsrN2kpKQwduxY3n77bRn6Jmq81atX89Zbb5Gfn4+qs4PG0eB1hbmcZUNrRRTFXMm7MlUJtRoNlZb5uJrnc3KB1l1RTx6ElLPMmzePPXv28Nprr+HnV3PnsIr6a8OGDUyePNl6Y35RuVCs2XIITdx5q22GYX3A4dKFZyU5E+3KXVb7GDs2QW0ZbrVN+9sWlLxLF55VL1eMd3W1fr7YeDT7Tlo/351dwKfU+tu5heh+3WS1j6l5GKbOTTH1aIka4IV222G2b9/Oww8/zJQpU+jUqVP5gyBEDXL8+HGee+459Ho9fs1caXVf3QnXAIGt3WlxVyCHFicxb948PDw8eOCBB2zdrHqpSgH77bffvt7tELWIqqqsWbOGd999l+zsbDQaJ9w9OqDROpTZs/yblotbS1zcyhY/sz5Z19l54e17U5l9yp+oe3r3oPylemtOzg3L9XyXfb6SkJ2TtYfc3AtMnDiRxx9/nKFDh8ocFlHjFBYWMnv2bBYvXgyA6u4NjduBg5NN23VDaLTQqA2qhzdK3AF2797Nww8/wquvTi03D10IW8nLy2P27NmW9a3rIrVxMAZfd7TrYklLS2P8+PE88MADPPnkkzg61pHpKaJOOX78OBMmTCA3NxevCCeiHwpFo6074bpEeDdv9HlGTqxOZebMmdjZ2XHPPffYuln1znUpclYTyBDx6yMtLY3p06ezfv16AHQ6D9w8otFoyobr2kdVjeTmHEBflARAixYteOmll2TIuKgxDh8+zBtvvEFcnHnagxraCBo0Ng/jrm8KcuHoHpR889zsBx98kNGjR+PkVA8uNIgaa+/evbz++uskJpqHUJtahGFq09A8BBuqPmS7pg4R15Z5vmIjml3H0BwxF1CMiIjg1VdfpVmzZghRU+zevZtJkyaRl5eHW5ADncdGYOdcd6cXqarK4T+SOb05A4DRo0czcuTIOtVbbwtXky0lYIsqUVWVpUuXMmfOnIvrYCoXe4cblis+VpupqkpR4Tny846iqgZ0Oh2PPvooI0aMwM7OrvIHEOI6yMrK4tNPP2Xx4sWoqopq52Dutfb0tXXTbMtkhFOHUZJOA+Dv78+ECRPo16+fnEiIGyo3N5dPPvmERYsWmV+jLo4Ye7aCwPoxN1lJSEOz+SBKgR6NVsOwocN47LHH5IKXsLl169YxZcoU9Ho9XpHOdHi0AXZOdTdcl1BVleOrUolbkwbAfffdxzPPPCN1S66BBGwkYFcXVVXZvXs3X3zxBXv27AFAq3PH1a0VOp1bJfeuvUzGQnJzD1GsN6+7GxERwahRo+jXr5+8OYkbxmg0smTJEj7++GOys809tapvMES0APvaP2qk2mQkQ/xBy9JhHTt25NlnnyUiIsK27RJ1nqqq/P3338ycOZP09HQATI2CMXVqCvb1bIpRod5cAO1UMgCBgYFMnjyZbt26VXJHIaqf0Wjkm2++4YsvvsBkMuHf0o12D4bUyrWur8XpzRkc+iMJVPOSnlOmTMHb29vWzaqVJGAjAftaqarKtm3b+Oqrry4uvwWgwdmlEY5O4XWq1/pyVFVFX5REXu5hSwG3sLAwRowYQf/+/WV+triuDh48yIwZMyyrMajObub1oT18bNyyGspohHNxKOfiQDWh0+kYOnQoI0eOxNnZ2datE3XQqVOneP/999myZQsAqrszpq7NUYPq98mrcjYVzbYjlmJr/fr146mnniI4ONjGLRP1RXJyMq+++qqlY6hBJ09a3BNUJ+dcV8X5fVnE/pSIyaDi7e3N1KlTZanLf0ECNhKw/y1VVdm4cSNfffVVqWXWNDg4huDkHIlWW/+Ge5lMxRQWnKGw4LQlaAcHB/PII48wcOBAGTouqo2qquzbt48ff/yRDRs2mNeE1+pQGzSBoPD6Odf6ahXmQfwhlMwUALy9vbn//vu599578fT0tG3bRJ2QkpLCF198wZ9//onJZAKNgql1JKbWEeXnO9dXxUY0e+PQHDoDqopOp+Oee+7hP//5j/Seietq7dq1vPnmm+Tk5KC119DynkBCOnjaulk2l3O+kL0/nCM3uQiA4cOH8/jjj8s57FWQgI0E7KuVkZHBypUrWbJkCSdPlizfocXRKRQnp8gKKoTXP6rJQGHhWQryT6GqegD8/Py44447uP3222nQoIGNWyhqq+LiYtasWcOCBQs4cuSIZbvqFwLhzcBeqvJetYxkc9AuygfA3t6e2267jaFDhxIZGWnjxonaKCsri2+//ZZffvkFvd78GWBq4IepQ2PwdLFx62qojBw0O4+hSTQXW3JycuLBBx/kwQcfxMVFjpmoPomJiXz00UesWbMGAI8GjrQdFoqLr72NW1ZzGItNHPkzmTNbMwFo2LAhEyZMkN7sKpKAjQTsqjAYDGzZsoU///yTzZs3YzQaAVAULQ6OYTg5R6DRyBtTWapqpLDgLAUFp1BNRZbt7dq144477qBfv34yJFVUSVZWFosXL2bhwoWkpprn+6NozME6OBKc626dgxvCZIL0REiMR8nLtmzu0qULQ4cOpXPnzlIMTVQqMTGRX375hT/++IO8vDwA1ABPjB0ag7+nbRtXSyiJ6Wh2n0BJM78O3d3dueeee7jvvvvw9/e3cetEbZafn88333zDjz/+aL7wpUDD3j40vtUfjU7e3yuSfDCH/QsTKc4zn/f36NGD8ePHExYWZuOW1WwSsJGAfSUnTpzgzz//ZOXKlWRmZlq263QeODiGYO8QiEYjQ0Yqo6om9EUpFBWeo7g4zbLdycmJfv36MXDgQKKjo+UEXlhRVZW4uDh+/fVXli1bRlGR+SKNaucAgeEQGAZ2MmKkWqkq5GRC4kmUjGTL5oiICIYOHcott9wivWnCiqqq7Nq1i59//pmNGzdScqqkerliat8INdTXehktUTlVRTmdYg7a2eaRJRqtlr59+jBkyBBat24tn5eiykwmE8uXL+eTTz4hLc18DubTyJlmdwbiHiSjvipTnG/kxF+pnN6SgWoCnU7H4MGDGTlyJG5ucnG/IhKwkYBdmqqqnDx5kvXr17Nu3TqOHTtmuU1R7HFwDMbBMQSdztWGrazdjMZC9EWJFBaew2TMt2wPDg6mT58+9O7dm9atW6Mpu2apqDdOnjzJmjVrWLNmDadOnbJsV13cISgSfINAI/M3r7vCfDgfj5J81rzMF+bh4126dOGmm26iR48eErbrsdzcXP766y9++eUXy3rzAKZgH9QWDVBDJFhfM5MJ5WwayuEzaJIuXeRv1qwZgwcPpm/fvjIKTFyW0WhkzZo1fPPNN5bXqLOPHc3uCMS/hatcpLlKuSlFHPkzmdQjuQC4ubkxZMgQBg8ejIeHh41bV7NIwEYCtslk4sCBA6xfv57169eTkJBQ6lYFe3s/HBxDsLP3rRcVwW8UVVUxGC5QVHgOfVESqmq03Obt7U2vXr3o1asXMTEx2NvL8Pu6Lj4+3hKq4+PjL92gaFC9/MzB2t1bTthtwVAMKWch+QxKQZ5ls729PV27duWmm26ie/fuErbrgYKCAjZt2sTq1avZunUrxcXmYpaqTovaKAhTszCZY329ZOSgOXwG5WQSitEEgIODAz169OCmm26iW7duODpKb6Qw1ypZvnw53377reWcVueoIaqfL+E9vNHq5Fz2WqQezeXwkiTyUsz1JZydnbn33nsZNmwYPj6yeglIwAbqZ8AuLi5m165drF+/ng0bNljW5DTTYGfvg729P/YO/jK3+gZQVQN6fRr6ohSK9amoqsFym4uLC926daN379507dpVTuLrkFOnTrFmzRr+/vtvqx4wFAXV0w98gsA7AHQyDaNGUFXIz4H085B2HqWwfNi++eab6d69u/Sq1SFFRUVs3bqV1atXs2nTJstUDQDVwwVTkxDURsHgIK/TG6JQj3LsHJrj51ByCiybnZ2d6dWrFzfffDOdO3eWisf1UGFhIUuWLGH+/PkkJ5un+Ng5a4no4U14N2/snGXkV3VRTSpJsdnErU0j57z5PdHe3p677rqLhx56iICAABu30LYkYFN/AnZmZiZbt25l8+bNbNu2zVKABUBRdNjZ+2Hv4I+9nS+KRtZtthVVNVFcnIG+KAW9PsWqOJqdnR0dOnSge/fudO/eXdYKrWVMJhPHjh1j06ZNrF27VkJ1bVZJ2O7WrRu9evWia9eueHl52bCh4t/IyMhg+/btbN26lU2bNpGff2k6j+rmhBoZiCkyADxdZVSJraiquVc7PgklPtmyljaYh6727NmTrl270qlTJxm+WsdlZmayaNEiFi5caKkX5OCmI7KXDw26eKFzkB7r60VVVVIO5xL3dxpZZ8wXvLRaLbfeeisPPvggjRs3tnELbUMCNnU3YKuqytGjR9myZQubN2/m0KFDlP4nVDT22NsHYO/gj52dtwz/roHMw8iz0Bclo9enWM3ZBnPhpZKw3aZNG3Q6uTBS0+Tn57Nz5042bdrEli1bLAVWAHOo9vA1z6n2DpRQXVupKuRnQ9p5SD+PUnjpdaooCq1atbK8Ths1aiTz/mogg8HA/v372bZtG9u2bePo0aNWt6sujqgRAZgiA8HHTUJ1TaOqkJplDtunklEK9JabFEWhefPmdO3alS5dutC8eXP5rKzlCgrMQe7MmTMsXLiQFStWWKZrOHrqiOjpTWhHL+wcr9xjrZpUjIbKo41Wp6BorvyaNxlUTKYrP5YCaO0rP9c2FpuoLHEpGqo01N2gN1W6j0aroNFe+e+r7FipqkpGXB7xG9LJPHlpZEnHjh158MEH6dKlS7367JOATd0K2Pn5+ezYsYNNmzaxdetW65N5QKtzw97eDzt7P3Q6j3r1n722U1UVozGPYn0qen0qhuILwKWXpKurK507d6Z79+7Sa2YDJR/4AOfPn2fbtm1s3bqVPXv2YDBcGvKvarTg6QteAeaearsyUzBU1VJQ64o02spP8k0mUCv7cFVAW4Vhc0Yjpf+/VfxQStWKrxkNle+jaKCyQn818ViVVCHPSIYLqSj5OVY3+/v706VLF3r06EGnTp1kzqgNJSYmsn37drZt28aOHTuseqkBVG831BAfTKF+4O8hobq2MKkoyZkoCWko59JRLuRa3ezm5kanTp3o3LkzXbp0kaW/ahlVVenatWul+7V+IJjQGM8r7pMel8c/n52u9LF6P98IZ+8rT5c8viqFE3+lXXEfJy87+rxQeY/u9k9PkXEy/4r7hHTwoM2QkEofa/nkQ5XuU93HqjjPSPyGdJL2Z1s+Vhs2bMiwYcPo379/vagrdDXZUi732VjpE/jSLly4wMaNG9m4cWO5k3nQXpxP7Ye9vS8arePFXmwjYKzkCpm20gCuqiag8pNSRan8pNtc5KuyaziaKvW0l57DfC2PdelYVeb6HytFUdDpXNHpXHF0CsNkKqZYn45en0axPo3c3FxLkSyAFi1a0K9fP/r27UtISOVvwuLfMxgM9O3bt9L91OBICGt65RCanYFycFvlj9W+LzhWMs834QRKwvErP46DE3ToV+nzcfgflOyMKz+WXyg0blvpQynbV1a6j9qoDfg3uPJONfFYKQqcOXrZY5WSksIff/zBH3/8gYODAzExMfTo0YPu3bvLiX41udxn5fnz59m3bx979+4lNjaW8+fPW92uOtihhviYv4J8wNEeLhbTwnCF926dpvLwbTRBJb1bKICuCheoDMYqfFQqoK3CqLTiKny+aZXKL3aZ1EvH6kpuxLHSKKhB3qhB3hBthLxClPMZKIkZKOfTycnJsfqsDA0NpX379pYveR3WTCXL4c2dO9fWTRGV8GjgRLvhoRRk6jm1KYOz2y9w8uRJpk2bxty5cxkxYgSDBg2qF0G7KqQH28a6dOlSpf00GifsHcy91BUN/S7WZ5CdtaPSx/H07oVW63TFffLzTlCQH3fFfTQaR7x8elf6fFkX/sFQnHnFfRwcgnF1r/zfKT218hN4F7dWODpeOXjW5mNVWpMmTejTpw99+/YlMjKyyvcTl6eqKgcPHmTZsmWsWbOGrKysyu9TldCYlV59ofHMseoL2Ae2Vl/A3rK00n3q/LHSaFBM1oGkRYsWDBgwgFtuuUVGoFyDqn5WqooCfh6YLoZqfNytwp9yPgPtyl2VPo7hvh7gduX3f82eODT7Tl65PS6OGAf3rPT5tMt3oiRf+f3fFBWEqWerSh9L9/XqSvcxdm+J2vjK9T5q87EqKzQ0lOjoaKKjo2nfvj2BgYFXdX9R/Xbv3s3nn3/Onj17AFC0EBztSXg3L1z8HSq8T3UMey4hQ8Sv7VgVFxg5+08mpzZlUJRl7gALCAjg0Ucf5Y477qiTBQmlB7uOcXJuhJNzQxn6LS5OAdBSXJzJsWPHOHbsGHPnziUiIoK+ffvSp08fmjRpIv9XrlJiYiIrVqxg+fLlnD171rJd1eouDv32Bw/fiudTV6XOgbs3auf+le9XlaHYoY1QQxpWslMV//2bd0KtyhDxKqjS31fXjxWgFuZDZgpkpqDkZHLo0CEOHTrEnDlz6N69O7fddhvdu3eXq/xVdO7cOXbu3FmlfU0twjBFR4GdnNrUd6YgL/B2R0nKhIxsEhISSEhIYMmSJQAEBQVZwnZMTIwE7hto3759fP7555bXtUar0KCLFw37+ODoce2hTNEo6Oyr5xxIo1PQVPUzohJau+qriaSrQqCvims5VnZOWhr29iW8uzcJ/1wg7u80kpOTeeedd/jmm28YOXIkt99+e72tjSA92DZgMplYt24d3333HYcPH7a6Tav1MFf9dvBHqy2Zx1e7hj1bP5YMEb8ex8pk0l+sSJ5MsT7d6n6hoaEMGTKEQYMG4eBQ8VVgAXl5eaxdu5Zly5axe/fuSzdotKg+geAXAh4+VQuFQlREXwTpiZByDiXv0mgINzc3brnlFm6//XZatmwpF8RKSUtLY+fOnezatYudO3eWH/KtAL4eqAGeqP6eqH4eUHICV9uGPZcmQ8Sv37HSF6OkXEBJumAO3OnZKGVOfUNDQ4mJiSEmJob27dvj7e1deTvEVTEYDMycOZNFixYBoGgVGnTypGFfX5w8615vZ31jLDZxdnsmJ9emU5RjPl9v2rQp7777bp1Z3kuKnFEzA7aqqqxfv54vvviCEydOWLbr7LxxcAjA3j4AjVYCkbg65nnbqRerkqdREvj9/f0ZMWIEd955p/SWlbJjxw6WLFnC+vXry6x96wN+oeATCNr6ecVVXEf5OZB6DlLPoegvLT3UoEEDbrvtNu666y58fHxs2EDbyMrKYs+ePezcuZOdO3dy6tQpq9tLhnyrgV7mL3/PqoUwIS6n2HAxcGeinM+E9CyUMmfCUVFRdOzYkQ4dOhAdHY2rq6tt2lpHZGZm8uKLL5qHgyvQoKMnUTf54uQl5yZ1jbHYxJmtmcT9nUZxvhEvLy/efvtt2ratfKpZTScBm5oVsFVVZdOmTXz++eccO3YMMK9R7egUjqNTGBqNvMGI6qGqBooKEynIP4np4lrbgYGBljkx9XWoTonVq1fzyiuvWH5XnVzModovBByuPIdQiGqhqpCVDqkJKOlJlorpQUFB/PTTT/XiYlhOTg4rVqxg2bJlHDlyhLKnIaqPm7mgVaA3aoCnDPkW15e+GCX5grlo2vkMlEzrCuVarZYWLVowcOBAbr31VpydK6n9IKwcP36cSZMmkZSUhM5BQ5thIQS0cLN1s8R1lp+hZ/c3Z8k5X4ROp2Py5MkMGjTI1s26JhKwqTkBOy8vj4kTJ1raoyjai8E6XIK1uG5U1UhhYQIF+fGoF4N2cHAws2fPJiwszMats50xY8YQGxuL6h0AIY3AVZbpETZkNEB6Epw6jGLQ8+abb9KvXxUKrtVCqqpy6NAhFi9ezKpVq8qMHnGxVIhWA73AQYaLChsq1F8K2+czUHIuVbB3dnamf//+3HvvvTRuXPnSTPVdXl4ed999Nzk5OTj72NH+0TDcAmSkZn1h0JuI/ekcyfvNS1u+9957dO/e3cat+vekyFkNsn///ov/IBocncJxco6QYC2uO0XR4uQUjqNjKIUFZynIP0liYiLr1q3jkUcesXXzbCIhIYHY2FjzL+HNwd7B3HtY0TrPJiPlyn2WXXe5ovWaK1rnudxa0xWsu1zRes1Ver4K2l7R2tZlh7xX+Hya8vPNy65tLcfq4vNV47HyC4GCXDgXx/Lly+tcwM7Pz2flypX89ttvlhFcAKqnK6amIajh/uAs64aLGsTRHjUyEDXyYuGz3AKUU8lojp0jPzuf3377jd9++42WLVtyzz33cPPNN+PoKP+HK5KQkEBOTg46Jw1dxzXE3lmmd9QnOnsN0cND2f1dAikHczh06FCtDthXQwL2dZadnQ2Azs4DF9cmNm6NqG8URYuTcwQmUwGFBWfIycmxdZNsZvny5ZaflT3rLD+r3gHQLMZ657gDKKkJVpvUTrdaVxGvYL1mNaIFBJdZMm3vepSiSz0gqrM7tCuzFE0F6zWrbXuAi8elDUUFKLvXWu8TFAGRLa0fq8za1qpWB2WrcqedQzkRa/1YTTuY55+XUnZtazlWF/er7mPlHQDn4tiyZQuZmZl1ajmvZ555hr179wKgajWoEQGYmoSCv4weEbWEqxNqqwiMLcPN87aPJqA5k8LBgwc5ePAg69evZ/r06bZuZY1UMkhWa6+g0SmW5aUUpXxVbaPBVO5aptZOsSoCWdGyUhUtR2XUm6wv1VbwfBUtwVV2OaqKnq+ipbQqWoKrbKVvk1HFZKy87WWX4KoLx8rJwxw36+ig6QpJwL7OSgKNyWTAaCxAoyk56SxfWbriitTWlawrroBdvnJ2+YrUN/r5zPPMK3++ih6rbLVwOVaXf6zKj5XJVIzJVAxAbm4u9VXZiv0W9egNX9RAR3ag5FwAwGg0cuzYMTp37mzbNlWjkqHgpjB/TJ2agMPFEVxGU/liZRVVmi5bobqiytYVVcQuW2m6ogrVFT2fVmOuQF1CVcFQdgRDBdW8K6psbVfB6Atj2eeroO1lq4BXte1yrK7vsVIUVD8PVF8PTB0aodl+FE1CGoWFhYiKmUzmY1qUZWT1y0cs2/1butFhRAOrfQ/+ep5zu7Kstt38WlPsnC79e2bE5/PPZ6et9ml2ZwCRPa0LRG58L46CzGLL725BDvR4Ospqn7i/UznxV5rVtu4TG+IefGk0QsGFYta/fcJqn/Ae3rQYZH2Bdee8M2SczLf8rnPUcMvrzaz2SdyTxf6fE622tX8klIBW7lbbSh8nqP3HqtFNvmSdM79GjMaqrOBTN9SogG0ymfjwww/55ZdfyM7OpkOHDkydOpXw8HBbN+1fc3FxAcBkzOFCxgbLdjt7f9w9oq32zcs5SFGR9YvPy6cfinKpJ8hQnEl21g6rfZxdmuLkHGG17ULGJkymS2/6Wq0bnt7drPYpyD9JQX6c1TYPr67odJde7CZToVW7ARydwnBxbW61LTtrF4biTMvviqLD2/cmq32Kis6Tl3PAapubezvsHazL92ekrbH6XY6V2dUeK5Op6OLw8HhKwnp9Ls7y1FNP4ezszObNmykouNRLyoU0OLLL3Ivo5Q929hDVCrVhmd7OssN9K1qvuaIlvdr1LrN+cgW9dhWt11z2+RycKni+Ch6rKus1+4ag+gSVeb7yba/S88mxAqpwrFQVAsJQ7RzMa2QXmC++Ktnm94LIyEhuueUWOnTocOX21DJ9+vTh8OHDaM6koDmTYtluauCH6aZ2VvtqthxCE2e9LJdhWB+rOdlKcibalbus9jF2bILa0vo8QfvbFpS8S+/rqpcrxru6Wj9fbDyafSetn+/OLuBTqgBTbiG6XzdZ7WNqHoapc1Pr51u9ByX50vu6aqfDOLyv1T5KXBLazQet2963rXmYfCm67/+2fj45Vua217BjpXqZK4v37WvddnFJgwYNCAgIIDk52dZNETZQkFnMppknKcoxoNVqiY6OrvxOdUSNCtgff/wxCxYs4K233iIgIIDp06czevRo/vzzz1pbWbV/f/NJ16uvvmq13VB8gWJ9Bjo7L1kDVVQrgyGXwoJTFBWepyRYBwYGMmTIEO69917bNs6GGjZsyBtvvEFxcTG7d+9mw4YNbNiwgdTUVMhIMn+hoLp7mcO2dwA4ulz+ARWlast5lZ1DXBGNBqhkTdob/XxQtecrG24rUl+PlckE2emQkQwZyVbLc2k0Gtq2bUvPnj3p2bMnDRo0KH//OqBv37588skn5bYruQWQnQduzjJUXNRsqgpZeeY1tAv1ls1KZi4ajYbevXvbsHE1m5ubG99++y1vvfUW69atA8CjgSNN+vuV27flfUG0uMf6YqbWzvq9wTvSmVvesO4ZLjvkGaDns1Hlhj2XFdXPj8g+vtbPp7Pe0cnTrtzzVXRtOGZUWKWD4YKjPQhsY91bXVHbyz1fBW2v6cfKWGzi+IoUzm6/AEB4eDivvfYazZpZt6cuqzFVxPV6PV26dGHSpEkMGzYMMM9f7tmzJ2+++SYDBw68qserKVXES+Tn57N3715+/vlntm27NBdRq3PD3s4XnZ0XWp07mnInqzLsWYaIX+mxDKiqCUNxFsXFFyguzsRouNQz0LJlSx544AFuuummer9EV0VUVeXo0aOWsF16fXoA1dEFXNzAyQ2cXcHJFZxcqhYqRf2hqlCsNxcry8+5+D0X8rJQShU/c3R0pHPnzvTq1Yvu3bvj6elpuzbfQEuWLGHZsmUcOHCA4uJiq9tUZwdL9XDVzxNcyhSLkmHPMkT8Sm2/HsdKVc2FzVIumJfvSspAKdBb3d3BwYF27dpZlu4SV6aqKitWrGDGjBnk5eWhaMCvmSvB7T3xb+5abs6vqH1UVSXrbAHndmVxfl82xfnm1+b999/PU089VScKAdbKZbpiY2MZPHgwK1asIDLyUuGbYcOG0bRp03I9wJWpaQG7tNOnT7NgwQKWLl2KXm/9pq3VuqKz88LOzsscurW1/z+kqF4mk948AqI4E0PxBQyGLEqfrZRcUR82bBitW7eWERJXITExkY0bN7Jx40b27NlT4XwhFcw92yWB29ntYvB2rVqPqKi9VBWKi8zhuSDn4ndzqFYMxRXexdvbmx49etCrVy9iYmLqxEnGv1VUVMTBgwfZtWsXu3bt4sCBAxgM1hdUVRdHVA8XcHdGdXe+9N3VscKh+UL8ayYT5BSgZOdDdv6l71l5KPlFVrva29vTunVrOnToQIcOHWjRogV2drKc3NVKSkpi2rRp7NhxafqezklDUBt3gtt74hXhJOcstUx+hp7EPVkk7soiL+1SpgkICOCFF16gS5cuNmxd9aqVAXvVqlWMGzeOffv2WZ2ATJgwgcLCQj777LOreryaHLBLXLhwgY0bN7Jv3z727dvH2bNny+2j0TiWCdwu8uZTj6iqislUiKE482KgzsRozCu3n6+vL23btqVt27b06NGD4OBgG7S2bsnOzubAgQOcOnWK+Ph4y/crFYpTHZzLB29n16oNVxY1h6qCvtC6N/pioFbKLsd1kaIoBAcHExERQWRkJJGRkURFRdGkSRM0EgwrVFhYSGxsrCVwHz58+LJFcFRFATcn69Bd8t3FUYaZi4qZVMirIERn50NuIcplToF1Oh0tW7YkJiaG9u3b06pVKxwcZP3m6hIfH8/y5ctZsWIFKSmXajM4edsR0t6D4GgPXPzkeNdUxQVGkmKzObc7i8z4S8XdHBwc6NOnD7fddhsxMTF1buRkrQzYv//+O5MnTzYXQyl1MjJ58mRSUlL4+uuvr+rx9u/fj6qqNGrUqJpbev1kZGRw4MABy9rZJ06csFRgLKEodujsPNDp3NHq3NDp3NFo5IpfXaCqKqqpCIMhB4MhB6MhG4Mhy6oAW4mwsDBat25N69atadWqFUFBQfJ/4AZQVZX09HROnz5t9XXq1CnLknwV3s/e0TpwlwRwnfSA2JSqQlF+qZ7oUkG67DraF2k0GoKDgwkPDyciIoLw8HDCw8Np0KBBve6drg75+fkcP36cc+fOkZCQQEJCAufOnePcuXPlRnuVpmo04O6E6nYxdHs4g5szqpsTODtIz3ddZzJBXhFKzsXwXPI9uwBy8lHKDg8vxdHRkZCQEEJCQggNDbV8b9SoEU5OTjfwj6ifjEYj+/btY/Xq1WzYsMGqAKmLrz2+TV3xbeKCd5RLuWWvxI2jmlSyzxWSeiyXtKO5XDhTYFkmTFEUoqOjueWWW+jZs2edLqZ74sQJFEWpXQF75cqVjB8/vsIebL1eX2GRlCvZv3//FT+Qa4PCwkJOnTrFiRMniIuL49SpUxX+TYqiuxi23dBq3S6Gb9dy83VFzaGqKiZj3sUwnY3xYqhW1fL/vhqNhrCwMKKiooiKiqJhw4a4ublV8KjClnJyckhKSuL8+fNW368YvO0czHO6S4aYl4Rve+mRq1ZGIxTmQkHepTBdYP5dKbuY6EVarRZ/f38CAwMJCgoiMDCQwMBA/P39ZWjoDWYymcjKyiIlJcXylZqaSkpKCmlpaVdc+kVVFHBxRHV1NK9n7Opo7gl3dQJXJ3BysJ5HLGoekwnyi8zzonMKzQXycgtQcgshtwDyC1GucCar0+nw8/PD39+/3HcPDw+5OF1DFBUVERsby/bt2zl69KhVB5OiVfBu6IxvExf8mrriGuAg/27XWVGOgbRjuaQezSXteB7Fedbvs0FBQXTq1ImOHTvi5eVlo1beeCXTRSpTY/rug4LM1fBSUlIICwuzbE9JSfnXVefs7OxqVQ92RUqXtDcYDBw/fpyjR49y4sQJTpw4QXx8PMXFxRguDh++REGrdbHq6dbq3Eqtwy1uFFU1XuyRLt0znUP5ImbmMN2gQQMaNWpEo0aNaNKkCc2aNZMr6bVYdnY2Z86c4dSpU5w5c8bS452amopSXGSe05udYXUfVaOtOHg7ukhv3JWUFBqz9Eabv5Sigsvexc7OjgYNGlj1RkdERBAcHFznhrfVRUajkZSUFEtvd0nPd2JiIsnJyeaiarkF5lBGZrn7q5qSAO4Ero6W4F3yO84OcrHrejOpUFB06d8p51J4VnILIe/yQ7lL2NnZERgYWK4nOiQkBH9/f5mmUUu0a9eORx55hNzcXHbv3s3OnTv5559/SElJIf14HunH8zi6NAUHDx1+Tcy92z6NXbF3lvon18pkUMk8nU/asVzSjuaRnWg9etLZ2Zno6Gg6duxIx44dLbmtPilbCPdKakwPtl6vp2vXrjz//PMMHjwYqFtVxK8Xg8HAqVOnOH78OMeOHePYsWMcP378sr1mGo2TJXDrLn5XNHIlsLqYTMUXA3S2pWe6ojnTYB6aVhKimzRpQuPGjYmKipJhpvVEXl6eJXifOnXKErzPnj17+XmoKODoXCp0lwrh9WW4uapCUUGpXuiSMJ2HYrj8qCV3d3ciIiIsQToyMpLw8HACAwPRSnG6OslkMpGWlsb58+c5f/48iYmJlp9LRphcqfcbLgbwkp5v14tzwN0uDkN3dSpfsVpUzGA0D9cuOwc6t8AcoK8wjBsuBeigoCCCgoIIDg62/BwUFIS3t7eE6DpKVVVOnz7Ntm3b2LZtG7t377YezamAR4gjPo1d8GnkgleEs1QlrwLVpJKTXGS5cJERn4dRb/06bNq0KV26dKFLly60bt263l90rpVzsAFmzZrFggULePPNNwkJCWH69OkkJCSwZMmSq14Hu74E7IqoqkpycrJV4D569ChJSUkV7q8o9pbArbVzl3ndVWQyFpUK0uZeaZOp4p4yLy8vmjZtSuPGjS2BOjQ0VE7sRTkGg4Fz585ZAnfpr/z8/Mvezzzc/GLwdnYDN2/zz7X5dWwohtwLkHPhUpAuzEUxVTysG8yjoUp6oUsH6vo0hE1UjdFoJC0trVzwLvk9JSXlysPPwdz77XFx7rebM3iUVD13qn+jTYwmc69zBQXFlLzytURK02q1VgG6bJD29fWVAC0A8/TJffv2sXXrVrZv3058fLzV7RqdgleEMz6NXfBt5IJ7iCOKTAMBoCBTT9rFQJ1+Ig99mWHfXl5edOrUiS5dutCpUyd8fHxs1NKaqdYGbKPRyMyZM1m0aBGFhYV07NiRKVOmEBoaetWPVZ8D9uVkZ2dberqPHj3KsWPHOHXqVLlCalB6Xrf7xeHl7mi1zvVyXre5knfBpbnSxeZQXdF8aYCQkBBLiG7atClNmjTB19f3Brda1DWqqpKWllYueJ8+fZrU1NSK76PVgZsXuHubv7t61uylxIoKICfTPGQ+JxMlr+KROHZ2doSFhVnCc+nh3TICRFQXg8FASkqKVfA+e/YsZ8+e5cyZM1e+4FW66nlJj3dJCHdxrL3zvkuqcmflX+qRzrpYWCy34Ipzod3c3GjQoAGhoaE0aNCAkJAQS5D28/OTC87iX0lJSWHXrl3s2LGDHTt2lPs8tHPS4B3lYgnc9ak6uT7fSPqJkkCdS3669XKSjo6OVsO+o6Ki5ELWFdTagF2dJGBXTWFhISdOnLAE7qNHjxIXF2eet1aOxjys3M7DsnSYRlP33qhMJgMGQ6ZlrWmjIQdVLb80j0ajITw83BKiS75LATJxo+Xl5VkNMz906BAHDx60qsgKJQWfPMyB293LHLrtbPQaVlXzMlgXwzTZmSj68iNAQkJCaN26NY0aNbIE6eDgYDkZFzalqioZGRmWwF06eCckJFBUVHT5+2o04O2G6ueO6ueB6usBbk41b7SJqpp7oFOzUNKyUFKzITPnisO5nZycaNCgQYVfnp6eMjJOXFeqqnLq1Cl27tzJjh072LVrF3l51tP0nH3s8Wvuin9zV7wjXdDo6s7/SVVVyU0qIuVILqmHc8g8XXBxqI2ZVqulRYsWdOrUiZiYGFq1aiVFO6+CBGwkYF8Lg8FAfHy8Veg+fvx4hVfrNVoX7KzW6a59xbhMJr1ljWlzoC7fa2ZnZ2dZ07Zp06Y0bdqURo0aSW+ZqLEMBgMnTpxg3759xMbGsm/fPtLS0srtpzq5mIO2m7c5eDs6X58TfaPx4nDvDMjONPdQl1lTWqvV0rhxY8ua7m3atJHRH6LWKZn7XRK4S4fvxMTECi9gqw52qL7mwI2vB6qvOzhe3dS4a1aoN4fp1CxIy0JJy0bRl7+4bG9vb+mFLvvl6+srIVrUGAaDgSNHjlh6t2NjYzEYLv2f1tprzJXJm7ni18wVR/faFzaNehPpcXmkHskl5XAuhRes318iIyMtgbp9+/a4uLjYqKW1nwRsJGBXN5PJREJCAkeOHCE2NpY9e/YQFxdXbj+NxtHSu20O3C417sPWaCywhGlDcWaFRchCQkIsJ/ktWrQgMjKy3hd3ELWbqqokJiZawva+ffvKzV0DUHX24BMIIVHmsH1tTwoZSZAYj5J7wfx7Kc7OzrRq1Yo2bdrQtm1bWrZsWafX0BTCaDRy7tw5Dh8+zMGDBzl48CDHjh2rOHS7OVl6uNUQH/Co5hPjzByUxIxLPdS55edJ29vb06xZM1q2bEmLFi1o0aIFQUFBMoxU1Ep5eXn8888/bNmyhS1btpCenm51u3uII/7NXfFr7oZHqGONO38tUXChmJTDOaQeziX9RB4mw6XPVnt7ezp27Ei3bt3o1q1bvaz2fb1IwEYC9o2QlZVFbGwse/fuZe/evRw5cqRcQRhFscfOzgt7hwDsHfxRlBs/rFNVTRQXZ6AvSqJYn47JVP4kIioqirZt2xIdHU3btm3x9/e/4e0U4kbLyspi//79ll7uQ4cOXTrRVxRUv1AIbXT1QbskWJ89jpKfY9ns5+dnCdNt2rShUaNGcuFK1Ht6vZ4TJ05YAvfBgwc5e/Zsuf1Uf09MTUJQIwL+ffXyYgNKfBKaY+dQ0sqP1oqIiKBly5aWQC2vUVFXmUwmjh49yubNm9myZQuHDh2yut3Zx56QGA9C2nvi5GX7nm2D3kTy/mwSdl4gI856RGlgYCDdunWje/fudOjQQUZXXicSsJGAbQsFBQUcOHCAvXv3smfPHg4cOFBmKQUtDvYB2DsGYWfnc12vDKqqitGQTVFRIkWFSVYFybRaLU2bNqVdu3a0a9eOtm3b4uHhcd3aIkRtUVRURGxsLPPnz2f79u3mjVcTtCsI1i4uLgwdOpSBAwcSFBRUY3sEhKhJsrKyLL3csbGx7Ni5E9PFC9iqnQ41KhBT41DwqULND1WFtGxzqI5PQjGYH0en09G5c2dat25t6Z12dXW9nn+WEDVWeno6W7duZfPmzWzbtu1SDRMFfBq5ENLBk8BWbmjtb9zoDVVVyYzPJ2FnFkmx2Rj15qLEiqLQunVrevToQbdu3YiKipLP1htAAjYSsGuC4uJiDh8+zObNm1m1ahXnz5+33KZo7HFwCMLBIQitzr3a3hiMxnyKChMpKjqPyXjpCp+Hhwc33XQTvXv3pnXr1jIMVYhKxMbGMm/evPJBOzgStBVczc/JhITywXrIkCG4u7vfwJYLUfekpqby559/smTJEhITEy3bVW83VNcr1z5RsvNRLuRafg8LC+Ouu+7itttuw9vb+7q1WYjaKj8/n3Xr1rF06VJ27dpl2a510BDU1p3QGE88w6/fcrYFmcWc23WBhJ0XKMi4NH0kNDSUgQMHcttttxEYGHhdnltcngRsJGDXNKqqEhsby8qVK/nrr7/Izr40NE2jdcHRqQGOjmH/6s1KVVX0+hQK8+MxGLIs2x0cHOjVqxf9+/enS5cuMsxNiH+hXNCuhARrIa4fk8nEzp07+f3331m/fr1VwaYrsbe356abbmLQoEG0a9dOeruEqKLExESWL1/O0qVLrS5ueUU602ygP55h1ddhU5Rj4PjqVBL+yUS9uIKus7MzN910EwMHDqRt27by2rUhCdhIwK7JiouL2bZtGytXrmTDhg2WYeRanTuuri3Q2VV9uLbRWEBe7mGK9eZ1DzUaDR07dqR///707t1bqiUKUU1iY2P58ssv2b17NyaTqdztbm5u3HvvvRKshbhBMjMz2bp16xWXBAPz0lndunWT16UQ18BkMrFv3z6WLl3KqlWrLOeuga3daDLA/5rW1zYUmYhfn0b8hgzLMPD27dtz55130qdPH5ycat8KPXWRBGwkYNcWeXl5LFu2jLlz55KTYx5a6ugUhpNzYzSay/c4q6qJwoLT5OfHgWpEp9MxfPhwHnjgAXx8fG5U84UQQgghRD2SnJzM559/ztKlS1FVFUUDDbp40ehmPxxcqz5a0mRUSfgnk+OrU9HnmmsjtGjRgnHjxhEdHX29mi/+JQnYSMCubdLT05kzZw6rVq0CQNE4YGd3+blhRkMORqN5Tll0dDSTJ08mMjLyhrRVCCGEEELUbydOnODjjz9my5YtANi5aIn5TxieYZX3OBfnG9n97VkyTprrBYWGhvLEE0/Qr18/GQZeQ0nARgJ2bbV9+3amT59OQkJCpft6eHgwbtw4Bg4cKG9GQgghhBDihtu1axczZ84kLi4OrZ1Cu4dC8W9++Qr/BReK2TnvDLnJRTg7O/PEE09w9913Y2dn++XAxOVJwEYCdm1WVFRUrhBaWQ4ODvTr1w9PT88b1zAhhBBCCCHKyMvL46WXXmLbtm0oGmg+KBCvyPIF0IrzjOz76RxFWQZ8fX2ZNWsWjRs3tkGLxdWSgI0EbCGEEEIIIcSNYTAYePPNN1m2bFml+0ZERDBr1iyCgoJuQMtEdbiabCnrFgkhhBBCCCHENdDpdLzyyiuEhoby+++/X3YZvVatWvHiiy/i4VH1VXNE7SI92EIIIYQQQgghxGVcTbbUXO/GCCGEEEIIIYQQ9YEEbCGEEEIIIYQQohpIwBZCCCGEEEIIIaqBBGwhhBBCCCGEEKIaSMAWQgghhBBCCCGqgQRsIYQQQgghhBCiGkjAFkIIIYQQQgghqoEEbCGEEEIIIYQQohpIwBZCCCGEEEIIIaqBBGwhhBBCCCGEEKIaSMAWQgghhBBCCCGqgQRsIYQQQgghhBCiGkjAFkIIIYQQQgghqoEEbCGEEEIIIYQQohpIwBZCCCGEEEIIIaqBztYNuF6Ki4tRVZX9+/fbuilCCCGEEEIIIWopvV6PoihV2rfOBuyqHgAhhBBCCCGEEOJyFEWpcr5UVFVVr3N7hBBCCCGEEEKIOk/mYAshhBBCCCGEENVAArYQQgghhBBCCFENJGALIYQQQgghhBDVQAK2EEIIIYQQQghRDSRgCyGEEEIIIYQQ1UACthBCCCGEEEIIUQ0kYAshhBBCCCGEENVAArYQQgghhBBCCFENJGALIYQQQgghhBDVQAK2EEIIIYQQQghRDSRgCyGEEEIIIYQQ1UACthBCCCGEEEIIUQ0kYAshhBBCCCGEENVAArYQQgghhBBCCFENJGALAaiqausmCFHnmEymctvktSaE7ZS8/ip6bQohao6S1+rJkydJTk62cWvE1ZKALeo9k8mEoigAfP/99yxfvtzGLRKi9jOZTGg05o+YI0eOsGHDBjIyMiyvNSHEjaWqKoqisHPnTj7++GM+//xzUlJSbN0sIUQFFEVh3bp1jBgxgqSkJFs3R1wlna0bIIQtlQ4B+/btY+3atezfvx8PDw+6detm49YJUTupqmp5Xb333nssXbqUnJwchg4dysSJE9FqtTZuoRD1j6IorFq1imeeeYZGjRpx5MgRVq5cyUsvvUS7du3k4pcQNcjp06dZsGABI0aMoG3btrZujrhKiirj9YTgvffeY+PGjeh0OuLi4nBzc2Pq1KncdNNNtm6aELVKSS8ZwNy5c/nmm2+YMWMGYWFhuLm5odFoyMrKwsvLC2dnZxu3Voi6r+Q1mZOTw+jRo7nvvvu44447LBe9PD09efnll4mOjpaQLUQNcPbsWZ555hni4uKYMmUKd999t9Vnq6j5ZIi4qPd+++03fv75Z15++WW+/PJLvvzyS3r37s3//vc//v77b1s3T4haIS4uDjD3kun1enJzc9m+fTsTJkyga9eu5OTk8NVXX3Hbbbdx11138fnnn6PX623caiHqPkVR2Lx5M1OnTsXT05MePXrg5OSEv78/v/zyC5mZmbzxxhvs27dPaiQIYUMlr78GDRrQv39/HB0d+emnn4iPj5dwXctIwBb13uHDh+nRowcxMTG4u7sTHR3No48+Srt27ZgyZQpbt261dROFqPG+/fZbZs2aBUBaWhoODg6YTCb27dvHF198wZNPPsnOnTt5+OGHGTJkCF9//TWZmZk2brUQ9YNGo+Gvv/5iw4YNpKWlAWA0GvHx8eHXX38lJyeHZ599lv3799u4pULUPyXBWlEUjEYjAI899hgTJkwgIyODzz77jNOnT9uyieIqScAW9UpFV+eNRiMpKSkUFhZatkVFRdGnTx/S0tJ44YUXWL9+/Y1sphC1il6vx8PDg4ULF3LnnXfy2GOPYWdnR5s2bTh48CCfffYZ99xzDy+88AJjxozhzjvvpEmTJlLJWIgbpGvXrsybNw9nZ2c++eQTUlJS0Gq1mEwmvL29WbBgAc7Oznh5edm6qULUKyVDv7du3crzzz/PsGHDeOqpp9iwYQNDhgzhoYce4sCBA3z66aecOXPG1s0VVSQBW9QbpauFlx6a2qxZM44cOcLmzZuttgcGBtKpUydiYmL49NNPOXfu3A1vsxA1ndFoxN7enieffJLQ0FDi4uJo3bo1AE8//TQff/wx69atY9y4cTRs2BBVVXn33Xdxc3MjMDDQxq0Xou4puZB8/Phx1qxZwx9//MGRI0fo2LEjH330Edu3b2fatGmkpqai0WgwmUz4+Pjw+++/06BBAxu3Xoj6RVEU/vrrL5566ilcXFx46KGHOHHiBC+88AJHjhzh4Ycf5oEHHuDQoUPMmDGDs2fP2rrJogqkirioF0pXNf7+++/Zu3cvjo6OjB49msGDB7Nx40ZeeOEFXnzxRdq0aYOHhwfz5s0jIiKCm2++mcmTJ5OUlERISIiN/xIhag5VVS0VwRcuXIhOp+Pee+9lw4YNTJ8+nUmTJhEcHEx8fDxz587l/Pnz5OfnU1RUxMKFC1EUxaqSvxDi2pVUC//f//6Hu7s72dnZpKenM3nyZB599FE++ugjnnjiCd5++20mT55MQECA5X5CiOvLaDRaPjdVVSUjI4OPPvqI//73v4wcOZKCggJmzpzJ0KFDsbOz4/Tp0zzyyCPk5OSwceNGHBwcbPwXiKqQgC3qvNKVF2fMmMH3339Ply5d+Pvvv9m+fTtvvfUWs2fP5qWXXmLmzJnk5+cTEBCARqPhs88+o7i4mICAADn5EKKU0sH4448/5ocffmD+/Pn4+vri4+PDokWL0Ol0PP3000RGRhIZGYmHhwfe3t6MHDkSnU6HwWBAp5OPISGqU2xsLK+88gpPP/00t956K3l5eSxatIjp06djb2/Pgw8+yMcff8x//vMf7O3teeONN9BqtfIZJ8R1lpGRQWJiIs2bN7e85hRFobCwkPvuu4+kpCQGDx5Mr169GDduHK+99hoZGRnMmTOH//73vwwfPhxPT09b/xmiCuTMRtRppcN1cnIy+/bt45tvvqFNmzYUFxdzzz338Pzzz/POO+/w1ltvsX//ftLT01EUha5du6LRaJgzZw5FRUWEhYXZ+K8RouYoCdfbtm1j//79vPnmm0RERADw4IMPAuYK/aqq8swzz9CrVy+aNWtmub/RaJRwLcQ1+vrrr4mJiaFVq1aWz7v9+/fToUMHhg4dCoC3tzcTJkyguLiYd955h06dOtG1a1fmz5+Pt7e3rEsvxA1y8OBBpk6dyqeffkp2djZGo5HGjRuTm5vLwoUL+fHHH+nbty8vv/wyAPb29iQnJ6PX67G3t5dwXYvIuDxRJz311FPs3bvXEq6//PJLHnvsMUwmE8HBwQDY2dnx66+/4uDgwP/93/+xY8cOmjdvTp8+fXB0dGTatGn897//5ddff2XmzJn4+vra8k8SosaJi4tjzJgxrF271mpeWEBAAA8++CD33HMPCxYsoHnz5rzxxhtWRQblpF6If89kMpGdnc38+fNxcXEBLg3xPnv2LGfOnKGoqAi4NCf7jjvuwNHR0VKNOCYmhoYNG9qg9ULUTx07dqRx48Y8/PDDPPTQQxQXF+Pt7U2PHj2YM2cOERERvP7669jb2wPmFTnCwsLk87IWkoAt6pxjx44REhJCixYtLNuio6PJzc3l0KFDpKSkAOYTFAcHBxYtWoSTkxNPPPEER44cAcy93QUFBYSEhPDjjz9aPZYQ9VXJiXrJ96ioKMvFp5UrVxIbG2vZNyAggIceeojp06czYcIEvvrqKxmCKkQ1KSwsxN3dnWXLlhEZGcnu3bvZt28fAOHh4aSmprJr1y6Ki4strztXV1f8/Pzw8PCwZdOFqLccHR25++67ycrKwsXFBTc3NwCGDBlC8+bNSU9P56uvvmLlypX873//Y/369YwZM0YCdi2kqBWtWyREHfHtt98SGhpKv379OHjwIKNHj6ZJkyZMmzaNkJAQyzzSoqIiXn75Zd566y0ZtipEBUrPuc7KyqK4uBgvLy+0Wi3r16/npZdeonPnzowaNeqyF6RkzrUQ1y4vL49169bRsWNH/P39MRgM9OvXDzc3N2bPnk3jxo0ZPnw4qampTJkyhbZt2+Lg4MAHH3zAqlWrmD9/Pn5+frb+M4Sol3bu3ElCQgIrVqxg3759zJw5k65du7Jr1y4WLlzIqlWr8PX1xdfXl1deecVqapWoPSRgizqldHXGpKQk/u///o+4uDjeeecdunfvTmxsLGPGjKFly5b873//Izg4uFwV4+LiYuzs7ADrOdxC1FelXweffvopa9eu5dy5czg5OTF69GgeeOABS8ju0qULo0aNonnz5jZutRB104kTJxg3bhxDhw7Fw8MDV1dXWrduzeDBg/Hz8+Ptt9/Gx8eH8ePHc/z4cVxcXAgJCeH48eN8+eWXMiJLiBuo5PNTr9ej1+txcHDAzs4Og8HAmDFjOHToELNmzaJr164AXLhwwXIh2tXV1ZZNF9dAAraok+bOnUvLli0JCgrivffe49ChQ/zvf/+jR48exMbGMnbsWFq3bs0rr7wi634KUUUffvghP/74IxMnTsTFxYX169ezatUqRo0axVNPPcVff/3FtGnTaNSoES+++CKRkZG2brIQddL06dP57bffyMjIYMqUKTz44IOcP3+e+++/n6CgIN566y0aN27M4sWLSUhIwMfHhx49esjnnRA3UEm4Xr9+Pb/++itHjhwhMjKS6OhoHn/8cUwmE6NHj7aco54/f56wsDB69+5t66aLayQBW9RJ48aNIyMjg/nz57N//34+++wzq5C9f/9+Bg8ezIgRI3jhhRds3VwharykpCSefPJJnnjiCW655RbL9unTpzN//nw++ugjevToweLFi1m1ahUffvihrG8tRDUrGaW1a9cuhg8fjpubG2PHjmXgwIEEBQVZQnZAQABvv/02TZo0sXWThajX1q5dy4QJE3jkkUdwcnLi1KlTrF69mkGDBvH6669jNBp5/PHH+eeff3B0dGTBggVycboOkIAtar3Sw1dLfv7rr794//33effdd2nWrBk7d+7k66+/toTs7t27ExcXR0REhBSPEKIKjhw5wvDhw/n+++9p1qyZZdkQMC/L5erqyty5c63uU3b6hRDi3yv9WZeSkkJcXBzbt2/n119/ZciQIdx3332WkD106FAcHByYOXOm1RJeQogbQ1VVsrOzeeaZZ+jevTsjR44EzEPAlyxZYlnb+j//+Q8AW7ZsISIiwrLSjajd5MxH1GqlTxqMRqPl55tvvhmtVsunn34KmJcjGTVqFK1atWLs2LHExsYSFRWFVqvFYDDYrP1C1EQVXXf18vLC1dWVDRs2AOb1OfV6Paqq4ufnh4+PT7n7SLgWonqUfNbt2LGD999/n48++ghvb28mTpzI7bffzi+//MJvv/1GUlISQUFBLFy4EEdHR0vFcAnXQtxYiqKgKApnz57F29vbst3T05M77riDzp07s3v3bstyet26dZNwXYdIOVdRq5WcNPzwww+sX7+e5557joCAANzd3Zk4cSLvvfce//zzD506dSI6Opri4mIiIiJo2bKl5TGkqrEQl5TudU5JScFgMODs7ExAQAAdOnRg2bJlhIaGcvvtt2Nvb4/BYCA9PZ3GjRvbuOVC1F2KorB69WomT55M//79OXXqFPv376dp06a88MILaDQafvzxR3Jzc8nNzaVjx478/vvvEqyFuMFKf4ZmZmaSk5NDXl4ecKmIrpeXF6GhoezZs0cuRNdRkixErVRyNd9kMmEymUhMTCQ9PZ0HHniAPn36cPvtt9OmTRucnJw4ePAgnTp1AqBTp06Wn0tXHBdCmF9XJR/2s2bNYvPmzcTFxdG8eXMGDRrEtGnTGDVqFHPmzGHNmjU0adKEDRs2kJWVxeOPP27j1gtRdyUmJjJnzhyee+45hg8fDoBerwcgPT2d//u//8POzo61a9eSlZXFsGHDJFwLcQOVnJeWhGiNRkN4eDj33Xcfb731Fs2aNaNDhw6W/bOysmjatKkE7DpKAraodUpfHczOzsbT05PnnnsOgAULFvDPP/8wceJEhg0bhpubG1988QU333xzueqpEq6FMFNV1SpcL1iwgF9++YWXX36ZwsJCYmNjmTZtGtnZ2Xz55Zd88sknbNiwgfT0dCIiInj11VfR6XRy0UqIa1Rykl52znRWVhbZ2dm0a9fOsk2n05Gamsqzzz7Lk08+yTPPPMPdd9+Np6en1ZBUIcT1Vbpa+I8//sj58+fRaDSMGjWKW265hcTEREaMGMH48eNxdna2FDpbsGCBfGbWURKwRa1SOlx/8cUXrF69GgcHB3r37s2oUaMYOnQod911Fw8//DBfffUVBQUFpKens3XrVho0aCBFl4SoQMlcMYB9+/Zx4MABxowZw+233w5Anz59CA0NZe7cuTRt2pSnn36ap556ClVVLYXODAaDTLcQ4hrFx8fTsGFDq9oipWuFJCUlWaY4aTQavLy8OHnyJDt27KBLly40bNjQZm0Xor5SFIV169YxceJEhg8fTvv27Tlw4ACvvfYaI0aM4LHHHiMsLIzvvvsOd3d3AgIC+P7772VqVR0mZ0Oi1ijdw/bOO+/w66+/MnToUE6ePMnPP/+M0WhkzJgxODk5ER0dTdOmTcnOzubdd99l3rx5DB48WMK1EKUsXryY+Ph49Ho9PXr0ICoqiocffhi9Xs+4ceMs+3l7e3P33Xezdu1atm3bRu/evbGzs7PcrqqqhGshrtH777/Pxx9/zH333UeLFi0YPHiw5QJWVFQUHh4efPnllzRq1Ijw8HDA3Ivdtm1bKY4khA3l5uYyb948Hn/8cavpUu+++y5ff/01TZs2ZeLEiQwZMgRvb28MBgMuLi42bLG43iRtiBrPZDIBlwqarVy5kr/++osvv/ySZ555hgEDBpCQkMBvv/3GRx99ZLmfvb09gYGBvPHGGwCW6sdCCBg9ejQ//vgj27Zt4++//2bFihUEBgby7rvv4unpyZ49e4iPj7fs7+vrS2BgIKmpqeUeS+Z6CnHtSi5UHTp0iO+++46BAwfy1VdfcejQIZydnXn//fc5e/Ys//d//8fSpUvZu3cvM2bMYOfOncTExNi6+ULUW4WFhZw7d47mzZsDl+ojTJ48mQ4dOvDFF18A4O/vj4ODg4TrekC6HESN9swzz9C1a1fuueceSw/Z8ePHadiwIa1ateLgwYP8/PPPTJgwgYSEBL7//nscHR0ZNWqUZf/Tp0+Tn59PcXGxLf8UIWqMsWPHcuHCBebMmUNgYCCZmZl4enoCMGDAAHQ6Ha+99hqLFi3innvuoWHDhuTl5ZGYmEj37t1t23gh6qjevXuzf/9+OnfuTNOmTfn+++9577330Ol03Hvvvdxyyy388ssvjBs3jk8++YS8vDzc3d356quvLD3aQogbz8HBAUVR2L17N71797YsY2lvb09kZCQHDx4EpPZPfSIBW9RoBoOBN998E2dnZ2655Rbs7e0pKirCz8+P5ORklixZQqtWrRgzZgx79uzh559/Zvr06aSkpPDCCy+Qm5vLgQMHyMrKkrkuQgDr1q0jNzeX2bNnW4aVent7YzKZ+OWXX7hw4QLt27dn5MiRfP3112zevJmwsDAKCgrIz89nzJgxNv4LhKib2rZti6qqrF69mtGjR9OrVy/Wr1/P1q1b+frrr1mwYAEDBw7k/vvvJzg4mKZNm6LT6fDy8rJ104WoN0rqIiQlJaEoimW9+U6dOrF27VqaNWvGbbfdZpnekZWVRWhoKEajEY1GIyO+6glFVVXV1o0Q4kqmTJnC4sWLmTZtGnfeeSeJiYlkZWWh0Wh4/vnnefrpp+nVqxebN2/miy++YMSIEfTs2dNypTAzMxO9Xk9AQICN/xIhbO/bb7/lp59+YuHChTg5OZGZmcnGjRuZP38+sbGxlv0ef/xxIiMjee211/Dx8eHuu+/mv//9L4DlyrwQonqUFOA8dOgQDzzwAI8//jhPPfUUAOPHj2f//v107dqVLVu2kJSURFRUFIsXL7aqhSCEuD7Wrl2Lv7+/pcDgypUrmTNnDhkZGXTo0IGxY8cSFhbG2LFjyc/Pp0uXLrRq1Ypdu3bx559/8vPPP9OoUSMb/xXiRpIebFHjfP3115w/fx6j0cjo0aN5/fXXUVWVl156CVVVGTRoEMHBwfz6668UFRXRtm1bAH744QcCAwPp3bs3iqJYqhrL1X0hLvHw8MDR0ZF169YRGhrKxx9/zObNmwkNDeX1118nJiaGs2fP8uSTT7JkyRJmzpzJlClTSEhI4NSpU0REREi4FqKalRTgDAoKon379mzfvp3HHnuMV199ld27d/Ptt9/SsGFD9Ho9f/zxBx06dJBwLcR1ZjKZOH78OOPGjWPAgAGMHz+e7OxsXnzxRcaMGYNWq2XJkiVMnz6dSZMm8dlnnzFnzhzWr1/Ppk2bCAwM5IcffpBwXQ9JD7aoUf7zn/+QmZmJTqfj7Nmz+Pj4MH/+fLy9vXn55Zf5448/ePPNN7njjjvYtWsXw4cPp1WrVhQWFqIoCosWLcLOzq7cGqJCCLNz587xxBNPcO7cOfLy8vD19aVPnz68+OKLODs7A+apGXfccQcTJ05kwIAB/PHHH8yaNYtWrVoxYcIEOVkQ4jpauXIlzzzzDOHh4RQWFvL+++/TqlUrWWZSCBtZsWIF06ZNo2fPnjg7O+Pp6WkZYbJz505mzJiBTqdj4sSJxMTEUFRURF5eHk5OTjg5Odm49cIWpAdb1BjDhg1Dr9fz7bffoigKCQkJjBo1ig8++ICpU6fyxhtvoNFoePHFFzGZTAwaNIjPPvuMjRs34uHhwRNPPIFOp7PMjxFClBcSEsLcuXPZv38/RUVFNG/enKioKACKi4uxs7Pj9OnTeHp64uvrC8CgQYPQ6/XMmzcPNzc3WzZfiDqva9euxMTEcOTIEWbPnk2rVq0AJFwLcQP9888/lmUse/Xqxdtvv83zzz/PhQsXeOihhyz7xcTE8NxzzzFjxgw++ugjhgwZwoABA3BwcLBh64WtScAWNcLw4cPR6/V89913ll60yMhIGjdubFX9+/XXXwfglVdeQVEU7rzzTnr37m25vWRYuBDi8gIDAwkMDCy33c7OjoKCAt566y0cHR1p37695bb777+fAQMG4OrqeiObKkS94+7uTpcuXdixY4clVMuFYyFunFmzZvHXX3+h0WhITk5m5cqVzJ8/n5dffpmXX36ZgwcPcuTIEZo1awZcCtlTp07l999/p2fPnrIUVz0nQ8SFzT388MMkJCSwZMkSXF1drQoo3XbbbfTt25fJkydb3Wfq1Kn89NNPzJs3T5YNEuIaLFy4kHPnztG4cWOys7NZuXIlaWlplukWJpMJRVFQFEWmXghxnZW8xvR6PYMGDSIyMpJPPvnE1s0Sot6YPXs2P/30E7Nnz6ZFixZkZWXh4OCAn58fAKtWreK1116jV69ejBgxwhKyAfbs2YOfnx+hoaG2ar6oIaSrT9hUUVGRZemto0eP0qpVK8uwmieffBJFUZg0aRKA1cn9a6+9RmhoKJ07d7ZZ24WoC4KCgnjvvfcwGAxERETQpEkTPv/8c3Q6XbkRIRKuhbi+Si5k6XQ6oqOj2bdvH9nZ2bi7u9u6aULUeQcPHmTDhg3Mnj3bcn5ZMi1q27ZtXLhwgaioKMta9ACPPvooTZs2BSA6Oto2DRc1jvRgC5srLCxkwoQJxMbG8tFHH9G+fXvGjx9PfHw8c+fOJSgo6IrD42RYuBDXJi0tjYKCAlxcXPDy8kJRFBmSKoSNnT17FlVVCQsLs3VThKgX/v77b9566y1++OEH/Pz8MJlM7Nixg0WLFvH7779b9hs7diyBgYF8+umntG7dmokTJ0rxT2FFAraoEQoLCxk3bhyHDx8mPDycnJwcPvvsM4KCgmzdNCHqHRkKLoQQor7ZuHEj7777LhMmTKBLly58+OGHLF++nJycHIYPH07Hjh0pLCxk/Pjx/Pzzz5w/f57Zs2fz9ddfExAQYOvmixpEAraoMQoLC3n++edZsWIF06dP584777R1k4QQQgghRD2QnJzM2LFjSUxMJDs7G51OR5s2bZg6dSqNGze2FB0cOnQo/fr1Y8yYMeTk5MjqGqIcGVcrbK7kGo+joyPTpk1Dr9fz9ttv4+vrS5cuXaQnTQghhBBCXFcBAQF8+OGHbNq0iQsXLtC+fXuaN2+Om5sbBoMBjUZDWloadnZ2hIeHA8jKGqJC0oMtbK5kOOqePXvw8fHBz8+PCRMmcOjQIaZPny4hWwghhBBC2Nx7773HqlWr+Oabbypc7lIIkIAtbMxkMqHRaFi9ejXjxo1j7ty59OrVi8LCQiZOnMi6detYuHAhrVq1snVThRBCCCFEPbF582bi4uJo3bo1Fy5cYOPGjfzxxx98++23tGjRwtbNEzWYDBEXN0RJkC5Lo9GwbNkypk6dyquvvkqvXr0A83DxmTNn8sEHH9C8efMb3VwhhBBCCFGPabVa5syZg6qq+Pj40KBBA3744QeaNGli66aJGk56sMV1Vzpcb9myhfPnz6PX64mIiKBr1648/PDDDBgwgOHDh1/2MWTJICGEEEIIcSMlJCSQlpaGp6cnPj4+UtBMVIkEbHHDzJgxg2XLlhESEkJRURFHjhzh9ddf5/bbb8fe3l6WBhJCCCGEEELUauXH7ApRTQwGg+XnX3/9lcWLFzN9+nS+++477rnnHkwmE66urmRmZgJIuBZCCCGEEELUahKwRbWbOXMmADqdDr1eD8Dhw4e56aab6NChA6tWrWL69OlMnTqViIgIZs2aRXx8vC2bLIQQQgghhBDXTAK2qFYHDhxg3rx5DBs2DAB7e3uMRiPp6ekEBQWxefNm/u///o/JkyczePBgMjMz+eOPP0hJSbFxy4UQQgghhBDi2kjAFtWqadOmfPzxxyQnJzNkyBDAXIWxadOmzJ49m7Fjx/L6668zdOhQANzd3YmKisLV1dWWzRZCCCGEEEKIayYBW1QbVVWxs7Oje/fuTJkyhaSkJAYPHgzA448/zm233YZWqyUkJITk5GSSk5OZMWMG7u7ushSXEEIIIYQQotaTKuKiWpRUAC/5rtfr2bp1Ky+99BKhoaEsWLCAc+fO8frrr7N582a8vLzw8PDAycmJH374ATs7u8uulS2EEEIIIYQQtYEEbHHNSgfjnJwc8vPz8fLywt7ens2bNzNp0iQiIiL44YcfAFixYgWFhYW4u7vTu3dvtFotBoMBnU5nyz9DCCGEEEIIIa6JBGxxTUqvXf3xxx/zzz//sH//fpo3b06fPn147LHH2LJlC5MmTaJBgwYsWLCg3GMYjUa0Wu2NbroQQgghhBBCVCsJ2OJfKR2sAT744AO+//57nn32WQwGA4cOHWLx4sWMGDGC5557jk2bNvHKK6+g1Wr566+/bNhyIYQQQgghhLg+ZEyu+FdMJhNarRaj0cjZs2fZsGED06dPp2fPngBkZGQQHh7Op59+SvPmzRk4cCAvvPACf/zxh/RYCyGEEEIIIeokCdjiqnzyySfExcVhZ2fHfffdR0xMDEVFRSQkJODg4GDZz9vbm7vvvpu//vqLHTt2MHDgQPr27cutt94KyLBwIYQQQgghRN0jAVtU2aOPPkpaWhpubm6kpqby559/8vXXX+Pr60tBQQEZGRkAFBcXY2dnh6+vL/7+/uTl5QFgZ2dneSwJ10IIIYQQQoi6RtZEElUybNgwcnJymDdvHj/++COzZs0iIiKCRYsWER4ezoABA3jxxRfZv3+/JUjn5+eTlpZGo0aNbNx6IYQQQgghhLj+pAdbVGro0KHo9Xq+++47XFxcAGjdujWhoaEYDAYARo8eTWpqKsOGDePRRx/Fzs6OvXv3kpOTw6hRo2zZfCGEEEIIIYS4ISRgiysaO3YsaWlplsrfer0ee3t7ADQaDQ0aNAAgKiqKGTNmsGDBAhYvXkxAQAAhISHMnTsXnU4nc66FEEIIIYQQdZ4EbHFZiYmJ7N69my5dunDixAkaNWpkCdcvvPACa9asQVEUnnrqKTw8POjUqRODBg2ic+fOtG/f3vI4BoMBnU7+qwkhhBBCCCHqNlkHW1zRkSNHeOGFFwgNDWXixIlERUUxfvx4Dh06RPv27QkMDGTTpk1kZGSQlJQEwIABA5g9ezZQfr1sIYQQQgghhKirJGCLSh0+fJjnn3+eRo0akZqaSnZ2Nh988IFleHhxcTFarZYDBw6QkpJCnz59pMdaCCGEEEIIUe9IwBZVcvjwYZ555hnS0tJ455136NevH3D54d8yLFwIIYQQQghR38gyXaJKmjdvzuzZswkMDGTJkiUcPHgQ4LIhWsK1EEIIIYQQor6RgC2qrGnTprz77rvExcUxd+5cDh06ZOsmCSGEEEIIIUSNIUPExVU7fPgwL774Ih4eHkydOpXIyEhbN0kIIYQQQgghbE56sMVVa968Oa+99hoBAQGEh4fbujlCCCGEEEIIUSNID7b410qW4DKZTGg0cq1GCCGEEEIIUb9JwBbXRNa5FkIIIYQQQggz6XYU10TCtRBCCCGEEEKYScAWQgghhBBCCCGqgQRsIYQQQgghhBCiGkjAFkIIIYQQQgghqoEEbCGEEEIIIYQQohpIwBZCCCGEEEIIIaqBztYNEEIIIcSV7d69m0WLFrFr1y6Sk5NRVZXAwEC6devGI488Qnh4uK2bKIQQQghkHWwhhBCixtLr9bzzzjvMnz+f4OBgBgwYQHh4OKqqcujQIf7880+Ki4t577336N+/v62bK4QQQtR7ErCFEEKIGuqdd97hyy+/ZMiQIbz88svY29tb3Z6YmMjDDz9MRkYGy5cvJzAw0EYtFUIIIQTIHGwhhBCiRjpy5AhfffUVzZs3Z8qUKeXCNUBwcDAvvvgi+fn5/PLLLzZopRBCCCFKkznYQgghRA20aNEiVFVl3Lhx6HSX/7ju06cP8+bNIyYmxmp7dnY2n3zyCatWrSI5ORlPT0969uzJuHHjCA4Otuz38MMPk5mZyYwZM3jvvffYvXs3JpOJ6OhoJk6cSJs2bSz79uvXj8aNG9OuXTvmzZuHyWTi2WefZfjw4ZhMJr7//nsWLlxIfHw89vb2tGvXjieeeIIOHTpU/wESQgghaiAZIi6EEELUQHfeeSfHjx9n9+7dODs7X9V9s7KyGDp0KImJiQwePJhGjRpx+vRpFixYgIODAz/99JOlMNrDDz/MsWPHMBqN9O7dm44dO5KQkMDXX3+Ng4MD69atw83NDTAH7MzMTFxcXBgzZgyZmZnceeedNGzYkGeeeYalS5fSv39/OnfuTFZWFosWLSIxMZGZM2cyYMCAaj9GQgghRE0jPdhCCCFEDZSYmIiXl1eF4TojI6PcNq1Wi4eHBwCzZ8/mzJkzzJ8/n+joaMs+9957L/feey9vvPEGn3/+uWX7hQsXeO655xg9erRlm7OzM3PmzGH58uU88MADlu35+fnMnj2b3r17W7YtX76cpUuXMmnSJB577DHL9hEjRnD//ffz6quv0rt3b5ycnP7l0RBCCCFqBwnYQgghRA1kMpkwmUwV3ta1a9dy20JCQvj7779RVZVly5bRsGFDwsPDrcK4j48P7dq1Y/PmzeTl5eHi4mK5bdCgQVaP17p1awBSU1Otttvb29O9e3erbUuXLgWgf//+5cL/rbfeyqeffsqOHTvo1atXZX+2EEIIUatJwBZCCCFqoMDAQOLj49Hr9eUKnH311VdWv0+aNMnyc2ZmJhcuXODChQsVBvESSUlJREVFWX738/Ozur3kOcuGfC8vr3JzwuPj4wG4+eabL/t8586du+xtQgghRF0hAVsIIYSogTp27MjJkyfZvHkzffv2tbqtW7duVr87ODhYfjYajQB06NCBp5566rKPX3ZJL42maguLVFRwzWg04uLiwocffnjZ+0VGRlbp8YUQQojaTAK2EEIIUQPdf//9/PTTT3z++ef06tULrVZbpft5e3vj7OxMdnZ2uSAOsHnzZjQajVUov1ahoaHEx8fTrFkzvL29rW47fPgwKSkpMv9aCCFEvSDrYAshhBA1UJs2bfjPf/7Drl27eP7558nPzy+3j16v5/PPPyc5OdmyTavVcvPNN3P8+HHL3OgSR44cYezYsUybNu2KS39drf79+wPm4mql5ebmMnHiRP773/9SVFRUbc8nhBBC1FTSgy2EEELUUM899xxarZYvv/ySTZs20b9/fxo3boxGoyEuLo6VK1eSkpJCaGgoL730ktX9duzYwXPPPcemTZto27Yt58+fZ8GCBWi1WqZOnVqt7bz33ntZsWIFP/30E2fOnKFfv34YDAZ++eUXTp06xaRJkwgICKjW5xRCCCFqIgnYQgghRA2l0+mYNGkSd955J4sWLWLr1q0sXbqUoqIifH19iYmJ4dZbb+WWW26x6pEOCAjg119/5ZNPPuHvv/9myZIleHl50alTJ5544glatGhRre3UarV8+umnfPPNN/z+++/MmDEDJycnoqKi+OCDD7j11lur9fmEEEKImkpRVVW1dSOEEEIIIYQQQojaTuZgCyGEEEIIIYQQ1UACthBCCCGEEEIIUQ0kYAshhBBCCCGEENVAArYQQgghhBBCCFENJGALIYQQQgghhBDVQAK2EEIIIYQQQghRDSRgCyGEEEIIIYQQ1UACthBCCCGEEEIIUQ0kYAshhBBCCCGEENVAArYQQgghhBBCCFENJGALIYQQQgghhBDVQAK2EEIIIYQQQghRDSRgCyGEEEIIIYQQ1eD/AX8FeVLaHQt3AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10, 6))\n", "sns.violinplot(x='Genre', y='Log_Global_Sales', data=top_genres_df, palette='viridis', inner='quartile', linewidth=1.5)\n", "\n", "plt.title('Distribution of Global Sales by Genre (Log Scale)\\nTop 4 Genres from 2010-2014', fontsize=16)\n", "plt.xlabel('Genre', fontsize=14)\n", "plt.ylabel('Log of Global Sales (in millions)', fontsize=14)\n", "plt.xticks(rotation=45) # Rotate x labels for better legibility\n", "plt.tight_layout()\n", "plt.show()\n", "\n" ] }, { "cell_type": "code", "execution_count": 67, "id": "508b7ecc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: altair in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (5.2.0)\n", "Requirement already satisfied: vega_datasets in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (0.9.0)\n", "Requirement already satisfied: jinja2 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from altair) (3.1.2)\n", "Requirement already satisfied: jsonschema>=3.0 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from altair) (4.17.3)\n", "Requirement already satisfied: numpy in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from altair) (1.24.3)\n", "Requirement already satisfied: packaging in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from altair) (23.0)\n", "Requirement already satisfied: pandas>=0.25 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from altair) (1.5.3)\n", "Requirement already satisfied: toolz in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from altair) (0.12.0)\n", "Requirement already satisfied: attrs>=17.4.0 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from jsonschema>=3.0->altair) (22.1.0)\n", "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from jsonschema>=3.0->altair) (0.18.0)\n", "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from pandas>=0.25->altair) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from pandas>=0.25->altair) (2022.7)\n", "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from jinja2->altair) (2.1.1)\n", "Requirement already satisfied: six>=1.5 in c:\\users\\luke holmes\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas>=0.25->altair) (1.16.0)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install altair vega_datasets\n" ] }, { "cell_type": "code", "execution_count": 68, "id": "7f77503d", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\3363370563.py:3: FutureWarning:\n", "\n", "Passing `palette` without assigning `hue` is deprecated.\n", "\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 6))\n", "\n", "sns.stripplot(x='Genre', y='Log_Global_Sales', data=top_genres_df, palette='muted', jitter=0.25, alpha=0.8, size=4)\n", "\n", "plt.title('Individual Global Sales Data Points by Genre (Log Scale)\\nTop 4 Genres from 2010-2014', fontsize=16)\n", "plt.xlabel('Genre', fontsize=14)\n", "plt.ylabel('Log of Global Sales (in millions)', fontsize=14)\n", "\n", "plt.xticks(rotation=45)\n", "\n", "sns.set_style(\"whitegrid\")\n", "\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "686ca258", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 69, "id": "4b2889b1", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sns.FacetGrid(top_genres_df, col='Genre', col_wrap=2, height=4, aspect=1.5, sharex=False, sharey=False)\n", "g.map(sns.histplot, 'Log_Global_Sales', bins=15, color='teal', kde=True, edgecolor='w')\n", "g.add_legend()\n", "\n", "g.set_titles('{col_name} Genre Sales Distribution', fontsize=12)\n", "g.set_axis_labels('Log of Global Sales (in millions)', 'Frequency')\n", "for ax in g.axes.flat:\n", " ax.grid(True, which='both', linestyle='--', linewidth=0.5, color='grey') # Add grid lines for readability\n", "\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "31f456d6", "metadata": {}, "source": [ "Data Preparation:\n", "Genre Sales Calculation: You start by grouping df by 'Genre' and summing up 'Global_Sales', then sort the sums in descending order. This gives you the total global sales for each genre.\n", "Top 4 Genres: You identify the top 4 genres based on these sums and create a new DataFrame top_genres_df that only includes games from these genres.\n", "Log Transformation: You add a 'Log_Global_Sales' column to top_genres_df, applying a logarithmic transformation to 'Global_Sales' using np.log1p. This transformation helps in dealing with skewed data and makes the visualization of wide-ranging data more manageable.\n", "Visualizations:\n", "Violin Plot:\n", "\n", "A violin plot is created using sns.violinplot, with genres on the x-axis and the log-transformed sales on the y-axis. The 'viridis' palette is used, and the inner='quartile' setting displays the quartiles inside the violins.\n", "This plot provides a comprehensive view of the sales distribution for each genre, showing both the density estimation and the quartiles, which offers insights into the distribution's shape, central tendency, and variability.\n", "Strip Plot:\n", "\n", "A strip plot (sns.stripplot) visualizes individual data points for log-transformed global sales by genre, using jitter to avoid overlapping points and 'muted' palette for coloring.\n", "This plot complements the violin plot by showing individual sales data, providing a sense of data density and distribution outliers.\n", "Faceted Histograms with KDE:\n", "\n", "Faceted grids (sns.FacetGrid) are used to create separate histograms for each genre, with Kernel Density Estimation (KDE) overlaid. Each histogram is set to have 15 bins, and the 'teal' color is used for consistency and contrast against the white background.\n", "These facet grids allow for a detailed comparison of sales distributions across genres, with separate x and y axes scales enhancing readability. KDE curves help in understanding the distribution's shape beyond the discrete histogram bins.\n", "Customization and Styling:\n", "Titles, axis labels, and x-tick rotations are customized for clarity and aesthetics. The use of plt.tight_layout() ensures that the plots are neatly arranged without overlapping elements.\n", "The seaborn style is set to \"whitegrid\" before the strip plot, which provides a clean background that enhances data visibility.\n", "The facet grid histograms include custom titles and axis labels for each subplot and add grid lines for better readability of the sales values." ] }, { "cell_type": "markdown", "id": "d6a7d829", "metadata": {}, "source": [ " Do older games (2005 and earlier) have a higher MEAN “eu_sales” than newer games (after 2005)? " ] }, { "cell_type": "code", "execution_count": 70, "id": "aea4c952", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Mean EU Sales for Older Games (2005 and earlier): 0.15\n", "Mean EU Sales for Newer Games (after 2005): 0.14\n", "Older games (2005 and earlier) have higher mean EU sales than newer games.\n" ] } ], "source": [ "older_games = df[df['Year_of_Release'] <= 2005]\n", "newer_games = df[df['Year_of_Release'] > 2005]\n", "\n", "mean_eu_sales_older = older_games['EU_Sales'].mean()\n", "mean_eu_sales_newer = newer_games['EU_Sales'].mean()\n", "\n", "print(f\"Mean EU Sales for Older Games (2005 and earlier): {mean_eu_sales_older:.2f}\")\n", "print(f\"Mean EU Sales for Newer Games (after 2005): {mean_eu_sales_newer:.2f}\")\n", "\n", "if mean_eu_sales_older > mean_eu_sales_newer:\n", " print(\"Older games (2005 and earlier) have higher mean EU sales than newer games.\")\n", "elif mean_eu_sales_older < mean_eu_sales_newer:\n", " print(\"Newer games (after 2005) have higher mean EU sales than older games.\")\n", "else:\n", " print(\"Mean EU sales are the same for older and newer games.\")" ] }, { "cell_type": "code", "execution_count": 71, "id": "a0470962", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "# Define categories and mean sales for older and newer games\n", "categories = ['Older Games (≤ 2005)', 'Newer Games (> 2005)']\n", "mean_sales = [mean_eu_sales_older, mean_eu_sales_newer]\n", "\n", "plt.figure(figsize=(8, 6))\n", "sns.barplot(x=categories, y=mean_sales, palette='coolwarm', edgecolor='black')\n", "\n", "plt.title('Mean EU Sales: Older Games vs. Newer Games', fontsize=16)\n", "plt.ylabel('Mean EU Sales (in millions)', fontsize=14)\n", "\n", "# Add data points on bars\n", "for i, value in enumerate(mean_sales):\n", " plt.text(i, value + 0.001, f'{value:.2f}', ha='center', va='bottom', fontsize=12) # Adjust for visibility\n", "\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 72, "id": "52ecb9a2", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Period=%{x}
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}, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Mean EU Sales: Older Games vs. Newer Games" }, "xaxis": { "anchor": "y", "categoryarray": [ "Older Games (≤ 2005)", "Newer Games (> 2005)" ], "categoryorder": "array", "domain": [ 0, 1 ], "title": { "text": "Period" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "range": [ 0.135, 0.155 ], "title": { "text": "Mean EU Sales (in millions)" } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "import pandas as pd\n", "\n", "categories = ['Older Games (≤ 2005)', 'Newer Games (> 2005)']\n", "mean_sales = [0.15, 0.14] # Example values based on your results\n", "\n", "plotly_data = pd.DataFrame({\n", " 'Period': categories,\n", " 'Mean EU Sales': mean_sales\n", "})\n", "\n", "fig = px.bar(plotly_data, x='Period', y='Mean EU Sales',\n", " title='Mean EU Sales: Older Games vs. Newer Games',\n", " color='Period',\n", " color_discrete_map={'Older Games (≤ 2005)': '#EF553B', 'Newer Games (> 2005)': '#00CC96'},\n", " text='Mean EU Sales')\n", "\n", "fig.update_layout(xaxis_title='Period',\n", " yaxis_title='Mean EU Sales (in millions)',\n", " legend_title='Release Period',\n", " plot_bgcolor='rgba(245, 245, 245, 1)',\n", " margin=dict(l=20, r=20, t=50, b=20),\n", " yaxis=dict(range=[0.135, 0.155])) \n", "\n", "fig.update_traces(texttemplate='%{text:.2f}', textposition='outside')\n", "\n", "fig.show()\n" ] }, { "cell_type": "markdown", "id": "4f871b28", "metadata": {}, "source": [ "Visualization with Seaborn/Matplotlib:\n", "Bar Plot: A seaborn bar plot visualizes the mean EU sales for older and newer games. The 'coolwarm' palette distinguishes the two categories, and the edge color enhances bar definition.\n", "Annotations: Text annotations add exact mean sales values to each bar, improving the plot's informativeness.\n", "Styling: The plot title, axis label, grid lines, and layout are well-defined for readability and aesthetic appeal.\n", "Visualization with Plotly:\n", "Data Preparation: You re-define categories and mean_sales (seemingly for illustration since the values are hardcoded in this section) and create a DataFrame plotly_data for Plotly visualization. This step would be more dynamically linked to the previous analysis in a typical workflow.\n", "Interactive Bar Plot: The Plotly bar plot provides an interactive visualization, with distinct colors for older and newer games and textual annotations for mean EU sales.\n", "Layout and Style Customization: The plot layout, including background color, margin, axis titles, and y-axis range, is customized for clarity and visual appeal. The color scheme is well-chosen for differentiation, and the text formatting ensures clarity." ] }, { "cell_type": "markdown", "id": "513c720c", "metadata": {}, "source": [ "What are the 3 most common “developer” in the dataset? " ] }, { "cell_type": "code", "execution_count": 73, "id": "5da50797", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ubisoft 201\n", "EA Sports 169\n", "EA Canada 164\n", "Name: Developer, dtype: int64\n" ] } ], "source": [ "top_3_developers = df['Developer'].value_counts().head(3)\n", "print(top_3_developers)\n" ] }, { "cell_type": "code", "execution_count": 74, "id": "b1acf65e", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "plt.figure(figsize=(10, 6))\n", "barplot = sns.barplot(x=top_3_developers.values, y=top_3_developers.index, palette='viridis')\n", "\n", "plt.title('Top 3 Game Developers by Number of Games Developed', fontsize=16)\n", "plt.xlabel('Number of Games Developed', fontsize=14)\n", "plt.ylabel('Developer', fontsize=14)\n", "\n", "for i, value in enumerate(top_3_developers.values):\n", " plt.text(value + 0.5, i, f'{value}', va='center', fontsize=12)\n", "\n", "plt.xlim(0, max(top_3_developers.values) + 10) # Adjust x-axis limits for better visibility\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 75, "id": "7de59cb6", "metadata": {}, "outputs": [], "source": [ "top_3_developers_df = top_3_developers.reset_index()\n", "top_3_developers_df.columns = ['Developer', 'Games_Developed']\n" ] }, { "cell_type": "code", "execution_count": 76, "id": "0f73b1d5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "
\n", "" ], "text/plain": [ "alt.LayerChart(...)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import altair as alt\n", "\n", "chart = alt.Chart(top_3_developers_df).mark_bar().encode(\n", " x=alt.X('Games_Developed:Q', title='Number of Games Developed'),\n", " y=alt.Y('Developer:N', title='Developer', sort='-x'), \n", " color=alt.Color('Developer:N', legend=None) \n", ").properties(\n", " width=600, \n", " height=200, \n", " title='Top 3 Game Developers by Number of Games Developed'\n", ")\n", "\n", "text = chart.mark_text(\n", " align='left',\n", " baseline='middle',\n", " dx=3 \n", ").encode(\n", " text='Games_Developed:Q'\n", ")\n", "\n", "# Display the chart with labels\n", "(chart + text).display()\n" ] }, { "cell_type": "markdown", "id": "0fc88609", "metadata": {}, "source": [ "Data Extraction:\n", "Top 3 Developers: You identify the top 3 developers using value_counts() on the 'Developer' column of df and take the first 3 entries with .head(3). This provides a quick overview of the most prolific developers in your dataset.\n", "Visualization with Matplotlib/Seaborn:\n", "Bar Plot: You create a horizontal bar plot displaying the top 3 developers and the number of games they've developed. The 'viridis' palette ensures an appealing color scheme.\n", "Annotations: Each bar is annotated with the exact number of games developed, enhancing the plot's informativeness.\n", "Customization: The plot's title, axis labels, x-axis limits, and layout are carefully chosen for clarity and visual appeal.\n", "Visualization with Plotly:\n", "Data Preparation: There seems to be a minor syntax issue with the data dictionary definition (a closing square bracket is missing at the end of 'Total Sales': [200, 150, 180]). Once fixed, this section creates a DataFrame plotly_df for Plotly visualization, incorporating both the number of games developed and total sales (hardcoded values for demonstration).\n", "Interactive Bar Plot: An interactive bar plot is created with hover data for total sales, providing an additional layer of information. The use of color_discrete_sequence ensures distinct coloring for each developer.\n", "Customization: The plot's layout, background color, and text annotations are customized for readability and aesthetics. The inclusion of total sales as hover data adds depth to the analysis, even though the sales figures are illustrative.\n", "Visualization with Altair:\n", "Data Preparation: You convert the Series top_3_developers into a DataFrame and rename the columns to prepare for Altair visualization.\n", "Bar Chart with Text: An Altair bar chart is created to display the number of games developed by each top developer, with text annotations indicating the exact counts. The chart's width, height, and title are customized for presentation purposes.\n", "Customization: The chart uses direct encoding for the x and y axes, color, and text, ensuring clarity and visual appeal. The sort='-x' option in the y-axis encoding ensures that developers are sorted by the number of games developed, enhancing interpretability.\n" ] }, { "cell_type": "markdown", "id": "6c2bc046", "metadata": {}, "source": [ "Part 3: How do the preferences for game genres and console developers differ across various regions?" ] }, { "cell_type": "code", "execution_count": 77, "id": "bb095585", "metadata": {}, "outputs": [], "source": [ "genre_region_sales = df.groupby('Genre')[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Other_Sales']].sum()\n" ] }, { "cell_type": "code", "execution_count": 78, "id": "73aa02ba", "metadata": {}, "outputs": [], "source": [ "console_brand_region_sales_filtered = df_filtered.groupby('Console_Brand').agg({\n", " 'JP_Sales': 'sum',\n", " 'NA_Sales': 'sum',\n", " 'EU_Sales': 'sum',\n", " 'Other_Sales': 'sum'\n", "}).reset_index()\n" ] }, { "cell_type": "code", "execution_count": 79, "id": "598e8a58", "metadata": {}, "outputs": [ { "data": { 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"ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Game Sales by Region for Each Console Brand" }, "xaxis": { "tickangle": 45, "title": { "text": "Console Brand" } }, "yaxis": { "title": { "text": "Total Sales (in millions)" } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import plotly.graph_objects as go\n", "import plotly.express as px\n", "import numpy as np\n", "\n", "\n", "console_brand_region_sales_filtered = df_filtered.groupby('Console_Brand').agg({\n", " 'JP_Sales': 'sum',\n", " 'NA_Sales': 'sum',\n", " 'EU_Sales': 'sum',\n", " 'Other_Sales': 'sum'\n", "}).reset_index()\n", "\n", "# Plotly Interactive Stacked Bar Chart for Console Brand Sales\n", "fig = go.Figure()\n", "regions = ['JP_Sales', 'NA_Sales', 'EU_Sales', 'Other_Sales']\n", "colors = px.colors.qualitative.Plotly # Choose a color scheme\n", "\n", "for i, region in enumerate(regions):\n", " fig.add_trace(go.Bar(\n", " x=console_brand_region_sales_filtered['Console_Brand'],\n", " y=console_brand_region_sales_filtered[region],\n", " name=region.replace('_', ' '),\n", " marker_color=colors[i]\n", " ))\n", "\n", "fig.update_layout(\n", " barmode='stack',\n", " title_text='Game Sales by Region for Each Console Brand',\n", " xaxis_title='Console Brand',\n", " yaxis_title='Total Sales (in millions)',\n", " legend_title='Region',\n", " plot_bgcolor='white'\n", ")\n", "fig.update_xaxes(tickangle=45)\n", "fig.show()\n" ] }, { "cell_type": "code", "execution_count": 80, "id": "64c9e6dd", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "genre_region_sales = df_filtered.groupby('Genre')[['NA_Sales', 'EU_Sales', 'JP_Sales', 'Other_Sales']].sum()\n", "\n", "plt.figure(figsize=(14, 10))\n", "barWidth = 0.25\n", "r1 = np.arange(len(genre_region_sales))\n", "r2 = [x + barWidth for x in r1]\n", "r3 = [x + barWidth for x in r2]\n", "\n", "plt.bar(r1, genre_region_sales['JP_Sales'], color='skyblue', width=barWidth, edgecolor='gray', label='Japan')\n", "plt.bar(r2, genre_region_sales['NA_Sales'], color='orange', width=barWidth, edgecolor='gray', label='North America')\n", "plt.bar(r3, genre_region_sales['EU_Sales'], color='green', width=barWidth, edgecolor='gray', label='Europe')\n", "\n", "plt.xlabel('Game Genre', fontweight='bold')\n", "plt.xticks([r + barWidth for r in range(len(genre_region_sales))], genre_region_sales.index, rotation=45)\n", "plt.ylabel('Total Sales (in millions)', fontweight='bold')\n", "plt.title('Game Sales by Genre Across Different Regions')\n", "plt.legend()\n", "plt.show()\n", "\n", "plt.figure(figsize=(14, 10))\n", "genre_region_sales.plot(kind='bar', stacked=True, color=['skyblue', 'orange', 'green'])\n", "plt.title('Stacked Game Sales by Genre Across Different Regions')\n", "plt.xlabel('Genre')\n", "plt.ylabel('Total Sales (in millions)')\n", "plt.xticks(rotation=45)\n", "plt.legend(['Japan', 'North America', 'Europe'])\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 81, "id": "7e591008", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\3631954802.py:9: MatplotlibDeprecationWarning:\n", "\n", "The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. 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Year_of_ReleaseGenreJP_Sales
01985Action1.44
11985Fighting1.05
21985Platform8.67
31985Puzzle1.66
41985Shooter0.21
51985Simulation0.00
61985Sports1.53
71986Action5.31
81986Platform8.11
91986Racing0.41
101986Role-Playing0.52
111986Shooter2.77
121986Sports2.69
131987Action0.00
141987Adventure1.61
151987Fighting1.87
161987Platform0.69
171987Role-Playing4.18
181987Shooter0.00
191987Sports3.28
201988Action0.42
211988Platform5.70
221988Puzzle1.81
231988Racing0.19
241988Role-Playing5.78
251988Shooter0.00
261988Simulation0.00
271988Sports1.86
281989Action0.31
291989Misc1.28
301989Platform4.97
311989Puzzle6.77
321989Role-Playing2.20
331989Shooter0.36
341989Sports2.47
351990Action1.01
361990Platform4.28
371990Puzzle1.93
381990Racing1.48
391990Role-Playing4.42
401990Simulation0.48
411990Sports1.28
421991Action2.06
431991Adventure1.04
441991Fighting0.39
451991Misc0.08
461991Platform1.91
471991Puzzle2.11
481991Racing0.15
491991Role-Playing2.81
501991Shooter0.50
511991Simulation0.91
521991Sports1.88
531991Strategy0.94
541992Action0.54
551992Adventure2.97
561992Fighting5.75
571992Misc1.81
581992Platform2.79
591992Puzzle2.68
601992Racing4.09
611992Role-Playing6.83
621992Shooter0.26
631992Simulation0.00
641992Sports0.90
651992Strategy0.29
661993Action0.92
671993Adventure0.07
681993Fighting6.11
691993Misc0.30
701993Platform5.21
711993Puzzle2.39
721993Racing0.36
731993Role-Playing5.25
741993Shooter0.89
751993Simulation0.19
761993Sports3.13
771993Strategy0.51
781994Action0.84
791994Adventure0.87
801994Fighting4.44
811994Misc0.46
821994Platform7.02
831994Puzzle1.53
841994Racing2.13
851994Role-Playing6.23
861994Shooter1.67
871994Simulation2.10
881994Sports5.23
891994Strategy1.47
901995Action1.26
911995Adventure0.67
921995Fighting7.05
931995Misc2.43
941995Platform6.36
951995Puzzle2.34
961995Racing1.95
971995Role-Playing13.09
981995Shooter2.85
991995Simulation2.03
1001995Sports3.87
1011995Strategy1.85
1021996Action2.62
1031996Adventure2.60
1041996Fighting6.12
1051996Misc3.47
1061996Platform6.76
1071996Puzzle1.36
1081996Racing5.30
1091996Role-Playing18.78
1101996Shooter1.11
1111996Simulation2.38
1121996Sports5.08
1131996Strategy1.86
1141997Action1.90
1151997Adventure1.05
1161997Fighting2.60
1171997Misc0.98
1181997Platform3.71
1191997Puzzle3.83
1201997Racing4.09
1211997Role-Playing11.56
1221997Shooter2.17
1231997Simulation5.91
1241997Sports7.59
1251997Strategy3.48
1261998Action5.55
1271998Adventure2.91
1281998Fighting4.18
1291998Misc2.88
1301998Platform3.29
1311998Puzzle1.84
1321998Racing2.30
1331998Role-Playing11.33
1341998Shooter0.36
1351998Simulation3.36
1361998Sports5.06
1371998Strategy6.98
1381999Action2.90
1391999Adventure1.11
1401999Fighting2.83
1411999Misc4.32
1421999Platform1.66
1431999Puzzle0.02
1441999Racing3.35
1451999Role-Playing18.70
1461999Shooter0.29
1471999Simulation6.12
1481999Sports6.83
1491999Strategy4.21
1502000Action3.74
1512000Adventure1.11
1522000Fighting3.05
1532000Misc2.77
1542000Platform2.56
1552000Puzzle0.98
1562000Racing1.15
1572000Role-Playing15.80
1582000Shooter0.20
1592000Simulation1.27
1602000Sports6.36
1612000Strategy3.78
1622001Action5.99
1632001Adventure1.07
1642001Fighting2.73
1652001Misc1.26
1662001Platform3.54
1672001Puzzle0.70
1682001Racing4.00
1692001Role-Playing9.55
1702001Shooter0.53
1712001Simulation3.77
1722001Sports3.90
1732001Strategy2.82
1742002Action5.10
1752002Adventure3.23
1762002Fighting3.14
1772002Misc2.90
1782002Platform4.52
1792002Puzzle0.17
1802002Racing0.20
1812002Role-Playing13.64
1822002Shooter1.02
1832002Simulation0.75
1842002Sports4.69
1852002Strategy2.40
1862003Action4.19
1872003Adventure0.43
1882003Fighting2.95
1892003Misc3.58
1902003Platform2.22
1912003Puzzle1.14
1922003Racing2.83
1932003Role-Playing9.63
1942003Shooter0.21
1952003Simulation1.46
1962003Sports4.00
1972003Strategy1.56
1982004Action4.82
1992004Adventure1.23
2002004Fighting1.34
2012004Misc2.43
2022004Platform6.11
2032004Puzzle2.55
2042004Racing1.99
2052004Role-Playing13.49
2062004Shooter0.65
2072004Simulation0.58
2082004Sports4.42
2092004Strategy2.04
2102005Action6.32
2112005Adventure0.74
2122005Fighting3.07
2132005Misc7.96
2142005Platform1.12
2152005Puzzle6.21
2162005Racing4.37
2172005Role-Playing9.22
2182005Shooter1.32
2192005Simulation9.02
2202005Sports3.54
2212005Strategy1.38
2222006Action5.78
2232006Adventure2.62
2242006Fighting2.82
2252006Misc15.74
2262006Platform9.21
2272006Puzzle3.40
2282006Racing0.87
2292006Role-Playing19.83
2302006Shooter1.89
2312006Simulation2.38
2322006Sports8.69
2332006Strategy0.51
2342007Action6.13
2352007Adventure3.55
2362007Fighting2.73
2372007Misc11.46
2382007Platform2.98
2392007Puzzle3.06
2402007Racing0.94
2412007Role-Playing12.43
2422007Shooter1.53
2432007Simulation3.02
2442007Sports9.59
2452007Strategy2.87
2462008Action6.00
2472008Adventure4.34
2482008Fighting6.14
2492008Misc7.24
2502008Platform2.36
2512008Puzzle0.92
2522008Racing4.21
2532008Role-Playing17.51
2542008Shooter0.77
2552008Simulation3.66
2562008Sports5.37
2572008Strategy1.73
2582009Action11.96
2592009Adventure3.35
2602009Fighting3.02
2612009Misc5.80
2622009Platform4.84
2632009Puzzle1.65
2642009Racing0.50
2652009Role-Playing17.07
2662009Shooter1.12
2672009Simulation0.95
2682009Sports9.81
2692009Strategy1.82
2702010Action8.58
2712010Adventure3.60
2722010Fighting1.52
2732010Misc6.69
2742010Platform3.68
2752010Puzzle0.49
2762010Racing1.04
2772010Role-Playing23.67
2782010Shooter2.12
2792010Simulation1.66
2802010Sports4.42
2812010Strategy2.02
2822011Action10.82
2832011Adventure3.83
2842011Fighting2.94
2852011Misc4.74
2862011Platform3.50
2872011Puzzle0.77
2882011Racing3.14
2892011Role-Playing14.43
2902011Shooter2.69
2912011Simulation1.23
2922011Sports3.08
2932011Strategy1.90
2942012Action12.31
2952012Adventure2.42
2962012Fighting1.79
2972012Misc3.66
2982012Platform3.84
2992012Puzzle0.96
3002012Racing0.20
3012012Role-Playing14.40
3022012Shooter2.62
3032012Simulation5.89
3042012Sports2.60
3052012Strategy1.11
3062013Action10.91
3072013Adventure2.22
3082013Fighting1.28
3092013Misc3.59
3102013Platform2.10
3112013Puzzle0.25
3122013Racing0.54
3132013Role-Playing19.88
3142013Shooter1.74
3152013Simulation2.21
3162013Sports2.15
3172013Strategy0.82
3182014Action6.53
3192014Adventure1.38
3202014Fighting4.83
3212014Misc2.42
3222014Platform1.27
3232014Puzzle0.41
3242014Racing1.47
3252014Role-Playing17.75
3262014Shooter1.08
3272014Simulation0.38
3282014Sports1.61
3292014Strategy0.56
3302015Action15.98
3312015Adventure1.04
3322015Fighting0.79
3332015Misc2.15
3342015Platform1.31
3352015Puzzle0.52
3362015Racing0.28
3372015Role-Playing6.80
3382015Shooter2.73
3392015Simulation1.60
3402015Sports0.73
3412015Strategy0.16
\n", "" ], "text/plain": [ " Year_of_Release Genre JP_Sales\n", "0 1985 Action 1.44\n", "1 1985 Fighting 1.05\n", "2 1985 Platform 8.67\n", "3 1985 Puzzle 1.66\n", "4 1985 Shooter 0.21\n", "5 1985 Simulation 0.00\n", "6 1985 Sports 1.53\n", "7 1986 Action 5.31\n", "8 1986 Platform 8.11\n", "9 1986 Racing 0.41\n", "10 1986 Role-Playing 0.52\n", "11 1986 Shooter 2.77\n", "12 1986 Sports 2.69\n", "13 1987 Action 0.00\n", "14 1987 Adventure 1.61\n", "15 1987 Fighting 1.87\n", "16 1987 Platform 0.69\n", "17 1987 Role-Playing 4.18\n", "18 1987 Shooter 0.00\n", "19 1987 Sports 3.28\n", "20 1988 Action 0.42\n", "21 1988 Platform 5.70\n", "22 1988 Puzzle 1.81\n", "23 1988 Racing 0.19\n", "24 1988 Role-Playing 5.78\n", "25 1988 Shooter 0.00\n", "26 1988 Simulation 0.00\n", "27 1988 Sports 1.86\n", "28 1989 Action 0.31\n", "29 1989 Misc 1.28\n", "30 1989 Platform 4.97\n", "31 1989 Puzzle 6.77\n", "32 1989 Role-Playing 2.20\n", "33 1989 Shooter 0.36\n", "34 1989 Sports 2.47\n", "35 1990 Action 1.01\n", "36 1990 Platform 4.28\n", "37 1990 Puzzle 1.93\n", "38 1990 Racing 1.48\n", "39 1990 Role-Playing 4.42\n", "40 1990 Simulation 0.48\n", "41 1990 Sports 1.28\n", "42 1991 Action 2.06\n", "43 1991 Adventure 1.04\n", "44 1991 Fighting 0.39\n", "45 1991 Misc 0.08\n", "46 1991 Platform 1.91\n", "47 1991 Puzzle 2.11\n", "48 1991 Racing 0.15\n", "49 1991 Role-Playing 2.81\n", "50 1991 Shooter 0.50\n", "51 1991 Simulation 0.91\n", "52 1991 Sports 1.88\n", "53 1991 Strategy 0.94\n", "54 1992 Action 0.54\n", "55 1992 Adventure 2.97\n", "56 1992 Fighting 5.75\n", "57 1992 Misc 1.81\n", "58 1992 Platform 2.79\n", "59 1992 Puzzle 2.68\n", "60 1992 Racing 4.09\n", "61 1992 Role-Playing 6.83\n", "62 1992 Shooter 0.26\n", "63 1992 Simulation 0.00\n", "64 1992 Sports 0.90\n", "65 1992 Strategy 0.29\n", "66 1993 Action 0.92\n", "67 1993 Adventure 0.07\n", "68 1993 Fighting 6.11\n", "69 1993 Misc 0.30\n", "70 1993 Platform 5.21\n", "71 1993 Puzzle 2.39\n", "72 1993 Racing 0.36\n", "73 1993 Role-Playing 5.25\n", "74 1993 Shooter 0.89\n", "75 1993 Simulation 0.19\n", "76 1993 Sports 3.13\n", "77 1993 Strategy 0.51\n", "78 1994 Action 0.84\n", "79 1994 Adventure 0.87\n", "80 1994 Fighting 4.44\n", "81 1994 Misc 0.46\n", "82 1994 Platform 7.02\n", "83 1994 Puzzle 1.53\n", "84 1994 Racing 2.13\n", "85 1994 Role-Playing 6.23\n", "86 1994 Shooter 1.67\n", "87 1994 Simulation 2.10\n", "88 1994 Sports 5.23\n", "89 1994 Strategy 1.47\n", "90 1995 Action 1.26\n", "91 1995 Adventure 0.67\n", "92 1995 Fighting 7.05\n", "93 1995 Misc 2.43\n", "94 1995 Platform 6.36\n", "95 1995 Puzzle 2.34\n", "96 1995 Racing 1.95\n", "97 1995 Role-Playing 13.09\n", "98 1995 Shooter 2.85\n", "99 1995 Simulation 2.03\n", "100 1995 Sports 3.87\n", "101 1995 Strategy 1.85\n", "102 1996 Action 2.62\n", "103 1996 Adventure 2.60\n", "104 1996 Fighting 6.12\n", "105 1996 Misc 3.47\n", "106 1996 Platform 6.76\n", "107 1996 Puzzle 1.36\n", "108 1996 Racing 5.30\n", "109 1996 Role-Playing 18.78\n", "110 1996 Shooter 1.11\n", "111 1996 Simulation 2.38\n", "112 1996 Sports 5.08\n", "113 1996 Strategy 1.86\n", "114 1997 Action 1.90\n", "115 1997 Adventure 1.05\n", "116 1997 Fighting 2.60\n", "117 1997 Misc 0.98\n", "118 1997 Platform 3.71\n", "119 1997 Puzzle 3.83\n", "120 1997 Racing 4.09\n", "121 1997 Role-Playing 11.56\n", "122 1997 Shooter 2.17\n", "123 1997 Simulation 5.91\n", "124 1997 Sports 7.59\n", "125 1997 Strategy 3.48\n", "126 1998 Action 5.55\n", "127 1998 Adventure 2.91\n", "128 1998 Fighting 4.18\n", "129 1998 Misc 2.88\n", "130 1998 Platform 3.29\n", "131 1998 Puzzle 1.84\n", "132 1998 Racing 2.30\n", "133 1998 Role-Playing 11.33\n", "134 1998 Shooter 0.36\n", "135 1998 Simulation 3.36\n", "136 1998 Sports 5.06\n", "137 1998 Strategy 6.98\n", "138 1999 Action 2.90\n", "139 1999 Adventure 1.11\n", "140 1999 Fighting 2.83\n", "141 1999 Misc 4.32\n", "142 1999 Platform 1.66\n", "143 1999 Puzzle 0.02\n", "144 1999 Racing 3.35\n", "145 1999 Role-Playing 18.70\n", "146 1999 Shooter 0.29\n", "147 1999 Simulation 6.12\n", "148 1999 Sports 6.83\n", "149 1999 Strategy 4.21\n", "150 2000 Action 3.74\n", "151 2000 Adventure 1.11\n", "152 2000 Fighting 3.05\n", "153 2000 Misc 2.77\n", "154 2000 Platform 2.56\n", "155 2000 Puzzle 0.98\n", "156 2000 Racing 1.15\n", "157 2000 Role-Playing 15.80\n", "158 2000 Shooter 0.20\n", "159 2000 Simulation 1.27\n", "160 2000 Sports 6.36\n", "161 2000 Strategy 3.78\n", "162 2001 Action 5.99\n", "163 2001 Adventure 1.07\n", "164 2001 Fighting 2.73\n", "165 2001 Misc 1.26\n", "166 2001 Platform 3.54\n", "167 2001 Puzzle 0.70\n", "168 2001 Racing 4.00\n", "169 2001 Role-Playing 9.55\n", "170 2001 Shooter 0.53\n", "171 2001 Simulation 3.77\n", "172 2001 Sports 3.90\n", "173 2001 Strategy 2.82\n", "174 2002 Action 5.10\n", "175 2002 Adventure 3.23\n", "176 2002 Fighting 3.14\n", "177 2002 Misc 2.90\n", "178 2002 Platform 4.52\n", "179 2002 Puzzle 0.17\n", "180 2002 Racing 0.20\n", "181 2002 Role-Playing 13.64\n", "182 2002 Shooter 1.02\n", "183 2002 Simulation 0.75\n", "184 2002 Sports 4.69\n", "185 2002 Strategy 2.40\n", "186 2003 Action 4.19\n", "187 2003 Adventure 0.43\n", "188 2003 Fighting 2.95\n", "189 2003 Misc 3.58\n", "190 2003 Platform 2.22\n", "191 2003 Puzzle 1.14\n", "192 2003 Racing 2.83\n", "193 2003 Role-Playing 9.63\n", "194 2003 Shooter 0.21\n", "195 2003 Simulation 1.46\n", "196 2003 Sports 4.00\n", "197 2003 Strategy 1.56\n", "198 2004 Action 4.82\n", "199 2004 Adventure 1.23\n", "200 2004 Fighting 1.34\n", "201 2004 Misc 2.43\n", "202 2004 Platform 6.11\n", "203 2004 Puzzle 2.55\n", "204 2004 Racing 1.99\n", "205 2004 Role-Playing 13.49\n", "206 2004 Shooter 0.65\n", "207 2004 Simulation 0.58\n", "208 2004 Sports 4.42\n", "209 2004 Strategy 2.04\n", "210 2005 Action 6.32\n", "211 2005 Adventure 0.74\n", "212 2005 Fighting 3.07\n", "213 2005 Misc 7.96\n", "214 2005 Platform 1.12\n", "215 2005 Puzzle 6.21\n", "216 2005 Racing 4.37\n", "217 2005 Role-Playing 9.22\n", "218 2005 Shooter 1.32\n", "219 2005 Simulation 9.02\n", "220 2005 Sports 3.54\n", "221 2005 Strategy 1.38\n", "222 2006 Action 5.78\n", "223 2006 Adventure 2.62\n", "224 2006 Fighting 2.82\n", "225 2006 Misc 15.74\n", "226 2006 Platform 9.21\n", "227 2006 Puzzle 3.40\n", "228 2006 Racing 0.87\n", "229 2006 Role-Playing 19.83\n", "230 2006 Shooter 1.89\n", "231 2006 Simulation 2.38\n", "232 2006 Sports 8.69\n", "233 2006 Strategy 0.51\n", "234 2007 Action 6.13\n", "235 2007 Adventure 3.55\n", "236 2007 Fighting 2.73\n", "237 2007 Misc 11.46\n", "238 2007 Platform 2.98\n", "239 2007 Puzzle 3.06\n", "240 2007 Racing 0.94\n", "241 2007 Role-Playing 12.43\n", "242 2007 Shooter 1.53\n", "243 2007 Simulation 3.02\n", "244 2007 Sports 9.59\n", "245 2007 Strategy 2.87\n", "246 2008 Action 6.00\n", "247 2008 Adventure 4.34\n", "248 2008 Fighting 6.14\n", "249 2008 Misc 7.24\n", "250 2008 Platform 2.36\n", "251 2008 Puzzle 0.92\n", "252 2008 Racing 4.21\n", "253 2008 Role-Playing 17.51\n", "254 2008 Shooter 0.77\n", "255 2008 Simulation 3.66\n", "256 2008 Sports 5.37\n", "257 2008 Strategy 1.73\n", "258 2009 Action 11.96\n", "259 2009 Adventure 3.35\n", "260 2009 Fighting 3.02\n", "261 2009 Misc 5.80\n", "262 2009 Platform 4.84\n", "263 2009 Puzzle 1.65\n", "264 2009 Racing 0.50\n", "265 2009 Role-Playing 17.07\n", "266 2009 Shooter 1.12\n", "267 2009 Simulation 0.95\n", "268 2009 Sports 9.81\n", "269 2009 Strategy 1.82\n", "270 2010 Action 8.58\n", "271 2010 Adventure 3.60\n", "272 2010 Fighting 1.52\n", "273 2010 Misc 6.69\n", "274 2010 Platform 3.68\n", "275 2010 Puzzle 0.49\n", "276 2010 Racing 1.04\n", "277 2010 Role-Playing 23.67\n", "278 2010 Shooter 2.12\n", "279 2010 Simulation 1.66\n", "280 2010 Sports 4.42\n", "281 2010 Strategy 2.02\n", "282 2011 Action 10.82\n", "283 2011 Adventure 3.83\n", "284 2011 Fighting 2.94\n", "285 2011 Misc 4.74\n", "286 2011 Platform 3.50\n", "287 2011 Puzzle 0.77\n", "288 2011 Racing 3.14\n", "289 2011 Role-Playing 14.43\n", "290 2011 Shooter 2.69\n", "291 2011 Simulation 1.23\n", "292 2011 Sports 3.08\n", "293 2011 Strategy 1.90\n", "294 2012 Action 12.31\n", "295 2012 Adventure 2.42\n", "296 2012 Fighting 1.79\n", "297 2012 Misc 3.66\n", "298 2012 Platform 3.84\n", "299 2012 Puzzle 0.96\n", "300 2012 Racing 0.20\n", "301 2012 Role-Playing 14.40\n", "302 2012 Shooter 2.62\n", "303 2012 Simulation 5.89\n", "304 2012 Sports 2.60\n", "305 2012 Strategy 1.11\n", "306 2013 Action 10.91\n", "307 2013 Adventure 2.22\n", "308 2013 Fighting 1.28\n", "309 2013 Misc 3.59\n", "310 2013 Platform 2.10\n", "311 2013 Puzzle 0.25\n", "312 2013 Racing 0.54\n", "313 2013 Role-Playing 19.88\n", "314 2013 Shooter 1.74\n", "315 2013 Simulation 2.21\n", "316 2013 Sports 2.15\n", "317 2013 Strategy 0.82\n", "318 2014 Action 6.53\n", "319 2014 Adventure 1.38\n", "320 2014 Fighting 4.83\n", "321 2014 Misc 2.42\n", "322 2014 Platform 1.27\n", "323 2014 Puzzle 0.41\n", "324 2014 Racing 1.47\n", "325 2014 Role-Playing 17.75\n", "326 2014 Shooter 1.08\n", "327 2014 Simulation 0.38\n", "328 2014 Sports 1.61\n", "329 2014 Strategy 0.56\n", "330 2015 Action 15.98\n", "331 2015 Adventure 1.04\n", "332 2015 Fighting 0.79\n", "333 2015 Misc 2.15\n", "334 2015 Platform 1.31\n", "335 2015 Puzzle 0.52\n", "336 2015 Racing 0.28\n", "337 2015 Role-Playing 6.80\n", "338 2015 Shooter 2.73\n", "339 2015 Simulation 1.60\n", "340 2015 Sports 0.73\n", "341 2015 Strategy 0.16" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "\n", "# Set option to display up to 342 rows\n", "pd.set_option('display.max_rows', 342)\n", "\n", "# Now, when you display the DataFrame, it will show all 342 rows\n", "display(sales_by_year_genre)\n", "\n", "# Reset display option to default if needed\n", "pd.reset_option('display.max_rows')\n" ] }, { "cell_type": "code", "execution_count": 134, "id": "e6977e73", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Console Brand Sales Data:\n", " Console_Brand JP_Sales NA_Sales EU_Sales Other_Sales\n", "0 Microsoft 5.62 368.95 182.69 52.70\n", "1 Nintendo 131.61 281.95 165.76 42.21\n", "2 PC 0.00 35.35 59.72 13.12\n", "3 Sony 114.51 292.37 285.09 114.66\n" ] } ], "source": [ "# Data behind the Plotly Interactive Stacked Bar Chart for Console Brand Sales\n", "print(\"Console Brand Sales Data:\")\n", "print(console_brand_region_sales_filtered)\n" ] }, { "cell_type": "code", "execution_count": 135, "id": "1cafae42", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Game Sales by Genre across Different Regions:\n", " JP_Sales NA_Sales EU_Sales Other_Sales\n", "Genre \n", "Action 160.15 863.17 510.99 182.22\n", "Adventure 52.24 101.52 63.20 16.37\n", "Fighting 87.28 220.51 99.00 35.87\n", "Misc 107.02 399.57 210.60 73.10\n", "Platform 130.71 444.44 199.39 51.01\n", "Puzzle 56.68 121.13 49.78 12.30\n", "Racing 56.63 356.86 234.49 75.51\n", "Role-Playing 353.44 330.04 188.24 59.41\n", "Shooter 38.68 584.83 314.52 103.33\n", "Simulation 63.64 180.67 113.35 30.59\n", "Sports 134.93 671.20 371.32 132.21\n", "Strategy 49.30 67.75 44.79 10.73\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\2891665138.py:2: FutureWarning:\n", "\n", "Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n", "\n" ] } ], "source": [ "# Data preparation for area plot\n", "genre_region_sales = df.groupby('Genre')['JP_Sales', 'NA_Sales', 'EU_Sales', 'Other_Sales'].sum()\n", "\n", "print(\"Game Sales by Genre across Different Regions:\")\n", "print(genre_region_sales)\n" ] }, { "cell_type": "code", "execution_count": 136, "id": "871c550e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Heatmap Data for Game Sales by Genre Across Regions:\n", " NA_Sales EU_Sales JP_Sales\n", "Genre \n", "Action 863.17 510.99 160.15\n", "Adventure 101.52 63.20 52.24\n", "Fighting 220.51 99.00 87.28\n", "Misc 399.57 210.60 107.02\n", "Platform 444.44 199.39 130.71\n", "Puzzle 121.13 49.78 56.68\n", "Racing 356.86 234.49 56.63\n", "Role-Playing 330.04 188.24 353.44\n", "Shooter 584.83 314.52 38.68\n", "Simulation 180.67 113.35 63.64\n", "Sports 671.20 371.32 134.93\n", "Strategy 67.75 44.79 49.30\n" ] } ], "source": [ "# Data behind the heatmap\n", "print(\"Heatmap Data for Game Sales by Genre Across Regions:\")\n", "print(sales_heatmap_data)\n" ] }, { "cell_type": "code", "execution_count": 137, "id": "e6d4ecd8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Top Games Sales Data Across Regions:\n", " Name Genre Console_Brand \\\n", "0 Wii Sports Sports Nintendo \n", "1 Mario Kart Wii Racing Nintendo \n", "2 Nintendogs Simulation Nintendo \n", "3 Wii Sports Resort Sports Nintendo \n", "4 Brain Age: Train Your Brain in Minutes a Day Misc Nintendo \n", "5 Super Mario Bros. Platform Nintendo \n", "6 Duck Hunt Shooter Nintendo \n", "7 Tetris Puzzle Nintendo \n", "8 Pokemon Red/Pokemon Blue Role-Playing Nintendo \n", "9 Pokemon Gold/Pokemon Silver Role-Playing Nintendo \n", "10 New Super Mario Bros. Platform Nintendo \n", "11 Pokemon Diamond/Pokemon Pearl Role-Playing Nintendo \n", "12 Wii Sports Sports Nintendo \n", "13 Mario Kart Wii Racing Nintendo \n", "14 Nintendogs Simulation Nintendo \n", "15 Wii Sports Resort Sports Nintendo \n", "16 Brain Age: Train Your Brain in Minutes a Day Misc Nintendo \n", "17 Super Mario Bros. Platform Nintendo \n", "18 Duck Hunt Shooter Nintendo \n", "19 Tetris Puzzle Nintendo \n", "20 Pokemon Red/Pokemon Blue Role-Playing Nintendo \n", "21 Pokemon Gold/Pokemon Silver Role-Playing Nintendo \n", "22 New Super Mario Bros. Platform Nintendo \n", "23 Pokemon Diamond/Pokemon Pearl Role-Playing Nintendo \n", "24 Wii Sports Sports Nintendo \n", "25 Mario Kart Wii Racing Nintendo \n", "26 Nintendogs Simulation Nintendo \n", "27 Wii Sports Resort Sports Nintendo \n", "28 Brain Age: Train Your Brain in Minutes a Day Misc Nintendo \n", "29 Super Mario Bros. Platform Nintendo \n", "30 Duck Hunt Shooter Nintendo \n", "31 Tetris Puzzle Nintendo \n", "32 Pokemon Red/Pokemon Blue Role-Playing Nintendo \n", "33 Pokemon Gold/Pokemon Silver Role-Playing Nintendo \n", "34 New Super Mario Bros. Platform Nintendo \n", "35 Pokemon Diamond/Pokemon Pearl Role-Playing Nintendo \n", "\n", " Region Sales \n", "0 EU_Sales 28.96 \n", "1 EU_Sales 12.76 \n", "2 EU_Sales 10.95 \n", "3 EU_Sales 10.93 \n", "4 EU_Sales 9.20 \n", "5 EU_Sales 3.58 \n", "6 EU_Sales 0.63 \n", "7 EU_Sales 2.26 \n", "8 EU_Sales 8.89 \n", "9 EU_Sales 6.18 \n", "10 EU_Sales 9.14 \n", "11 EU_Sales 4.46 \n", "12 NA_Sales 41.36 \n", "13 NA_Sales 15.68 \n", "14 NA_Sales 9.05 \n", "15 NA_Sales 15.61 \n", "16 NA_Sales 4.74 \n", "17 NA_Sales 29.08 \n", "18 NA_Sales 26.93 \n", "19 NA_Sales 23.20 \n", "20 NA_Sales 11.27 \n", "21 NA_Sales 9.00 \n", "22 NA_Sales 11.28 \n", "23 NA_Sales 6.38 \n", "24 JP_Sales 3.77 \n", "25 JP_Sales 3.79 \n", "26 JP_Sales 1.93 \n", "27 JP_Sales 3.28 \n", "28 JP_Sales 4.16 \n", "29 JP_Sales 6.81 \n", "30 JP_Sales 0.28 \n", "31 JP_Sales 4.22 \n", "32 JP_Sales 10.22 \n", "33 JP_Sales 7.20 \n", "34 JP_Sales 6.50 \n", "35 JP_Sales 6.04 \n" ] } ], "source": [ "# Data behind the top games sales across EU, NA, and JP regions\n", "top_games_long = top_games.melt(id_vars=['Name', 'Genre', 'Console_Brand'], value_vars=['EU_Sales', 'NA_Sales', 'JP_Sales'], var_name='Region', value_name='Sales')\n", "\n", "print(\"Top Games Sales Data Across Regions:\")\n", "print(top_games_long)\n" ] }, { "cell_type": "code", "execution_count": 138, "id": "c5e3e5ab", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Data for Radar Chart of Top Game Sales Across Regions (Lumped Series):\n", " Lumped_and_Customized_Name NA_Sales EU_Sales \\\n", "0 Wii Sports (2006, Wii) 41.36 28.96 \n", "2 Super Mario Series (2008, Wii) 15.68 12.76 \n", "10 Nintendogs (2005, DS) 9.05 10.95 \n", "3 Wii Sports Resort (2009, Wii) 15.61 10.93 \n", "19 Brain Age: Train Your Brain in Minutes a Day (... 4.74 9.20 \n", "1 Super Mario Series (1985, NES) 29.08 3.58 \n", "9 Duck Hunt (1984, NES) 26.93 0.63 \n", "5 Tetris (1989, GB) 23.20 2.26 \n", "4 Pokemon Series (1996, GB) 11.27 8.89 \n", "12 Pokemon Series (1999, GB) 9.00 6.18 \n", "6 Super Mario Series (2006, DS) 11.28 9.14 \n", "20 Pokemon Series (2006, DS) 6.38 4.46 \n", "\n", " JP_Sales \n", "0 3.77 \n", "2 3.79 \n", "10 1.93 \n", "3 3.28 \n", "19 4.16 \n", "1 6.81 \n", "9 0.28 \n", "5 4.22 \n", "4 10.22 \n", "12 7.20 \n", "6 6.50 \n", "20 6.04 \n" ] } ], "source": [ "# Data preparation for radar chart\n", "print(\"Data for Radar Chart of Top Game Sales Across Regions (Lumped Series):\")\n", "print(top_games[['Lumped_and_Customized_Name', 'NA_Sales', 'EU_Sales', 'JP_Sales']])\n" ] }, { "cell_type": "code", "execution_count": 139, "id": "d9f403a4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Normalized Top Game Series Sales Across Regions:\n", " Game_Series NA_Sales EU_Sales JP_Sales Total_Sales\n", "9235 Super Mario Series 1.000000 1.000000 1.000000 3.000000\n", "7273 Pokemon Series 0.481939 0.767183 0.999102 2.248224\n", "1224 Call of Duty Series 0.434757 0.730335 0.042365 1.207458\n", "10880 Wii Sports Series 0.336157 0.602045 0.106138 1.044340\n", "3684 Grand Theft Auto V 0.140252 0.352233 0.021257 0.513743\n", "5537 Mario Kart Wii 0.092246 0.191909 0.056737 0.340891\n", "9603 Tetris 0.153959 0.044368 0.090269 0.288596\n", "10878 Wii Play 0.082127 0.138066 0.043862 0.264055\n", "6746 Nintendogs 0.053242 0.164686 0.028892 0.246820\n", "5536 Mario Kart DS 0.057124 0.112348 0.061826 0.231298\n" ] } ], "source": [ "# Data behind the normalized top game series sales across regions\n", "print(\"Normalized Top Game Series Sales Across Regions:\")\n", "print(top_series_sales)\n" ] }, { "cell_type": "code", "execution_count": 140, "id": "2ff32e84", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Genre Popularity Over Time by Region Data:\n", " Year_of_Release Genre NA_Sales EU_Sales JP_Sales\n", "0 1985 Action 1.64 0.38 1.44\n", "1 1985 Fighting 0.00 0.00 1.05\n", "2 1985 Platform 29.93 3.77 8.67\n", "3 1985 Puzzle 1.33 0.19 1.66\n", "4 1985 Shooter 0.65 0.14 0.21\n", ".. ... ... ... ... ...\n", "337 2015 Role-Playing 13.93 12.93 6.80\n", "338 2015 Shooter 31.94 24.38 2.73\n", "339 2015 Simulation 1.20 2.47 1.60\n", "340 2015 Sports 18.77 15.81 0.73\n", "341 2015 Strategy 0.58 0.98 0.16\n", "\n", "[342 rows x 5 columns]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Luke Holmes\\AppData\\Local\\Temp\\ipykernel_20752\\784631465.py:5: FutureWarning:\n", "\n", "Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n", "\n" ] } ], "source": [ "# Ensure to replace 'df' with your actual DataFrame name and adjust 'start_year' and 'end_year' accordingly\n", "df_filtered = df[(df['Year_of_Release'] >= 1985) & (df['Year_of_Release'] <= 2015)].dropna(subset=['Year_of_Release', 'Genre'])\n", "df_filtered['Year_of_Release'] = df_filtered['Year_of_Release'].astype(int)\n", "\n", "sales_by_year_genre = df_filtered.groupby(['Year_of_Release', 'Genre'])['NA_Sales', 'EU_Sales', 'JP_Sales'].sum().reset_index()\n", "\n", "print(\"Genre Popularity Over Time by Region Data:\")\n", "print(sales_by_year_genre)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "249b3ddd", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "3cbe6a0f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "23970923", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "c6e81f55", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "f07b8454", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.4" } }, "nbformat": 4, "nbformat_minor": 5 }