{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Research on phone plan revenue <a name=\"introduction\"></a>\n",
"\n",
"You work as an analyst for the telecom operator Megaline. The company offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.\n",
"\n",
"We'll go through the steps outlined below to get meaningful information from the data given to us:\n",
" - *Step 1: Open data & study general information.* This gives us a broad overview of the data and helps us spot any immediate problems that need to be fixed before beginning our analysis.\n",
" - *Step 2: Data preprocessing.* Here, we fix all of the problems with the data such as missing values, duplicates, and changing data types. For this project, we'll also address anomalies in the data such as calls with durations that are zero. Prepreprocessing includes manipulating the raw data to get intermediary values that we'll then use in the analysis.\n",
" - *Step 3: Analyze the data.* Here, we'll find minutes, texts, and volume of data the users of each plan require per month, calculate the mean, dispersion, and standard deviation, and plot histograms of the data.\n",
" - *Step 4: Hypothesis testing.* We'll test two hypotheses in the final part of the analysis with the goal of discerning whether or not different segments generate a statistically meaningful difference in revenue per month. This information helps Marketing to target advertising resources more effectively in order to maximize revenues and profits.\n",
" - *Step 5: General conclusion.* This section provides a general overview of the projet and reccommendations from the analysis."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 1: Open data file & look at general info <a name=\"step_1\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import math\n",
"import matplotlib.pyplot as plt\n",
"from scipy import stats as st\n",
"\n",
"# try-except blocks handle errors that occur from changing file directories\n",
"\n",
"new_dfs = {'calls_data': ['megaline_calls.csv', '/datasets/megaline_calls.csv'],\n",
" 'internet_data': ['megaline_internet.csv', '/datasets/megaline_internet.csv'],\n",
" 'messages_data': ['megaline_messages.csv', '/datasets/megaline_messages.csv'],\n",
" 'plans_data': ['megaline_plans.csv', '/datasets/megaline_plans.csv'],\n",
" 'users_data': ['megaline_users.csv', '/datasets/megaline_users.csv']\n",
" }\n",
"\n",
"for new_df, csv_path in new_dfs.items():\n",
" try:\n",
" exec(new_df + ' = pd.read_csv(csv_path[0])')\n",
" except:\n",
" exec(new_df + ' = pd.read_csv(csv_path[1])')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"------- CALLS_DATA HEAD -------\n",
" id user_id call_date duration\n",
"0 1000_93 1000 2018-12-27 8.52\n",
"1 1000_145 1000 2018-12-27 13.66\n",
"2 1000_247 1000 2018-12-27 14.48\n",
"3 1000_309 1000 2018-12-28 5.76\n",
"4 1000_380 1000 2018-12-30 4.22\n",
"\n",
"\n",
"------- INTERNET_DATA HEAD -------\n",
" id user_id session_date mb_used\n",
"0 1000_13 1000 2018-12-29 89.86\n",
"1 1000_204 1000 2018-12-31 0.00\n",
"2 1000_379 1000 2018-12-28 660.40\n",
"3 1000_413 1000 2018-12-26 270.99\n",
"4 1000_442 1000 2018-12-27 880.22\n",
"\n",
"\n",
"------- MESSAGES_DATA HEAD -------\n",
" id user_id message_date\n",
"0 1000_125 1000 2018-12-27\n",
"1 1000_160 1000 2018-12-31\n",
"2 1000_223 1000 2018-12-31\n",
"3 1000_251 1000 2018-12-27\n",
"4 1000_255 1000 2018-12-26\n",
"\n",
"\n",
"------- PLANS_DATA HEAD -------\n",
" messages_included mb_per_month_included minutes_included \\\n",
"0 50 15360 500 \n",
"1 1000 30720 3000 \n",
"\n",
" usd_monthly_pay usd_per_gb usd_per_message usd_per_minute plan_name \n",
"0 20 10 0.03 0.03 surf \n",
"1 70 7 0.01 0.01 ultimate \n",
"\n",
"\n",
"------- USERS_DATA HEAD -------\n",
" user_id first_name last_name age city \\\n",
"0 1000 Anamaria Bauer 45 Atlanta-Sandy Springs-Roswell, GA MSA \n",
"1 1001 Mickey Wilkerson 28 Seattle-Tacoma-Bellevue, WA MSA \n",
"2 1002 Carlee Hoffman 36 Las Vegas-Henderson-Paradise, NV MSA \n",
"3 1003 Reynaldo Jenkins 52 Tulsa, OK MSA \n",
"4 1004 Leonila Thompson 40 Seattle-Tacoma-Bellevue, WA MSA \n",
"\n",
" reg_date plan churn_date \n",
"0 2018-12-24 ultimate NaN \n",
"1 2018-08-13 surf NaN \n",
"2 2018-10-21 surf NaN \n",
"3 2018-01-28 surf NaN \n",
"4 2018-05-23 surf NaN \n",
"\n",
"\n"
]
}
],
"source": [
"# print head for each new DataFrame\n",
"\n",
"for new_df in new_dfs.keys():\n",
" print('------- ' + new_df.upper() + ' HEAD -------')\n",
" exec('print(' + new_df + '.head())')\n",
" print('')\n",
" print('')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"------- CALLS_DATA STATS -------\n",
" user_id duration\n",
"count 137735.000000 137735.000000\n",
"mean 1247.658046 6.745927\n",
"std 139.416268 5.839241\n",
"min 1000.000000 0.000000\n",
"25% 1128.000000 1.290000\n",
"50% 1247.000000 5.980000\n",
"75% 1365.000000 10.690000\n",
"max 1499.000000 37.600000\n",
"\n",
"\n",
"------- INTERNET_DATA STATS -------\n",
" user_id mb_used\n",
"count 104825.000000 104825.000000\n",
"mean 1242.496361 366.713701\n",
"std 142.053913 277.170542\n",
"min 1000.000000 0.000000\n",
"25% 1122.000000 136.080000\n",
"50% 1236.000000 343.980000\n",
"75% 1367.000000 554.610000\n",
"max 1499.000000 1693.470000\n",
"\n",
"\n",
"------- MESSAGES_DATA STATS -------\n",
" user_id\n",
"count 76051.000000\n",
"mean 1245.972768\n",
"std 139.843635\n",
"min 1000.000000\n",
"25% 1123.000000\n",
"50% 1251.000000\n",
"75% 1362.000000\n",
"max 1497.000000\n",
"\n",
"\n",
"------- PLANS_DATA STATS -------\n",
" messages_included mb_per_month_included minutes_included \\\n",
"count 2.000000 2.000000 2.000000 \n",
"mean 525.000000 23040.000000 1750.000000 \n",
"std 671.751442 10861.160159 1767.766953 \n",
"min 50.000000 15360.000000 500.000000 \n",
"25% 287.500000 19200.000000 1125.000000 \n",
"50% 525.000000 23040.000000 1750.000000 \n",
"75% 762.500000 26880.000000 2375.000000 \n",
"max 1000.000000 30720.000000 3000.000000 \n",
"\n",
" usd_monthly_pay usd_per_gb usd_per_message usd_per_minute \n",
"count 2.000000 2.00000 2.000000 2.000000 \n",
"mean 45.000000 8.50000 0.020000 0.020000 \n",
"std 35.355339 2.12132 0.014142 0.014142 \n",
"min 20.000000 7.00000 0.010000 0.010000 \n",
"25% 32.500000 7.75000 0.015000 0.015000 \n",
"50% 45.000000 8.50000 0.020000 0.020000 \n",
"75% 57.500000 9.25000 0.025000 0.025000 \n",
"max 70.000000 10.00000 0.030000 0.030000 \n",
"\n",
"\n"
]
}
],
"source": [
"# print some descriptive statistics for data\n",
"\n",
"for new_df in list(new_dfs.keys())[0:4]:\n",
" print('------- ' + new_df.upper() + ' STATS -------')\n",
" exec('print(' + new_df + '.describe())')\n",
" print('')\n",
" print('')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"------- CALLS_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 137735 entries, 0 to 137734\n",
"Data columns (total 4 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 id 137735 non-null object \n",
" 1 user_id 137735 non-null int64 \n",
" 2 call_date 137735 non-null object \n",
" 3 duration 137735 non-null float64\n",
"dtypes: float64(1), int64(1), object(2)\n",
"memory usage: 4.2+ MB\n",
"None\n",
"\n",
"\n",
"------- INTERNET_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 104825 entries, 0 to 104824\n",
"Data columns (total 4 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 id 104825 non-null object \n",
" 1 user_id 104825 non-null int64 \n",
" 2 session_date 104825 non-null object \n",
" 3 mb_used 104825 non-null float64\n",
"dtypes: float64(1), int64(1), object(2)\n",
"memory usage: 3.2+ MB\n",
"None\n",
"\n",
"\n",
"------- MESSAGES_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 76051 entries, 0 to 76050\n",
"Data columns (total 3 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 id 76051 non-null object\n",
" 1 user_id 76051 non-null int64 \n",
" 2 message_date 76051 non-null object\n",
"dtypes: int64(1), object(2)\n",
"memory usage: 1.7+ MB\n",
"None\n",
"\n",
"\n",
"------- PLANS_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 2 entries, 0 to 1\n",
"Data columns (total 8 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 messages_included 2 non-null int64 \n",
" 1 mb_per_month_included 2 non-null int64 \n",
" 2 minutes_included 2 non-null int64 \n",
" 3 usd_monthly_pay 2 non-null int64 \n",
" 4 usd_per_gb 2 non-null int64 \n",
" 5 usd_per_message 2 non-null float64\n",
" 6 usd_per_minute 2 non-null float64\n",
" 7 plan_name 2 non-null object \n",
"dtypes: float64(2), int64(5), object(1)\n",
"memory usage: 256.0+ bytes\n",
"None\n",
"\n",
"\n",
"------- USERS_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 500 entries, 0 to 499\n",
"Data columns (total 8 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 user_id 500 non-null int64 \n",
" 1 first_name 500 non-null object\n",
" 2 last_name 500 non-null object\n",
" 3 age 500 non-null int64 \n",
" 4 city 500 non-null object\n",
" 5 reg_date 500 non-null object\n",
" 6 plan 500 non-null object\n",
" 7 churn_date 34 non-null object\n",
"dtypes: int64(2), object(6)\n",
"memory usage: 31.4+ KB\n",
"None\n",
"\n",
"\n"
]
}
],
"source": [
"# print general information\n",
"\n",
"for new_df in new_dfs.keys():\n",
" print('------- ' + new_df.upper() + ' INFO -------')\n",
" exec('print(' + new_df + '.info())')\n",
" print('')\n",
" print('')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Duplicated calls data: 0\n",
"Duplicated internet data: 0\n",
"Duplicated messages data: 0\n",
"Duplicated plans data: 0\n",
"Duplicated users data: 0\n"
]
}
],
"source": [
"# checking for duplicate rows in each DataFrame\n",
"\n",
"print('Duplicated calls data:', calls_data.duplicated().sum())\n",
"print('Duplicated internet data:', internet_data.duplicated().sum())\n",
"print('Duplicated messages data:', messages_data.duplicated().sum())\n",
"print('Duplicated plans data:', plans_data.duplicated().sum())\n",
"print('Duplicated users data:', users_data.duplicated().sum())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Conclusion <a name=\"step_1_conclusion\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"After our initial overview of the data, we can see there are a few problems that we should fix before proceeding.\n",
"- The **churn_date** column has missing values. Missing values in the **churn_date** column mean the customer is still subscribed to one of the plans. We can replace these with the 2018-12-31, the last day of the year.\n",
"- We should change all dates from *object* to *datetime* data types to make them easier to work with when calculating duration between dates.\n",
"- All of the **user_id** columns should be changed from *int64* to *object* since we won't be doing any mathematical operations on user IDs.\n",
"- The **duration** column needs to be rounded up to minutes, and then changed from *float64* to *int64*\n",
"- **usd_per_message** and **usd_per_minute** can be changed to *int64*\n",
"- **mb_used** is the data used per session. We need to calculate the total data used per month, round up to the nearest gb, and change type to *int64*\n",
"- There are some call durations that are 0. These could be missed calls. We need to figure out what to do with them.\n",
"- We need to check if there are any calls, messages, or sessions that occurred before or after registration and churn dates for any given user."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 2: Data preprocessing <a name=\"step_2\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Filling missing values <a name=\"step_2_1\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# fill missing churn dates with December 31st, 2018 as a placeholder\n",
"\n",
"users_data['churn_date'].fillna('2018-12-31', inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Changing data types <a name=\"step_2_2\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# create list of date columns & change to datetime with .to_datetime() method\n",
"\n",
"date_cols = [\"calls_data['call_date']\", \"internet_data['session_date']\", \"messages_data['message_date']\", \\\n",
" \"users_data['reg_date']\", \"users_data['churn_date']\"]\n",
"\n",
"for col in date_cols:\n",
" exec(col + \" = pd.to_datetime(\" + col + \", format='%Y-%m-%d')\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# define list of 'user_id' columns & change to strings\n",
"\n",
"user_id_cols = [\"calls_data['user_id']\", \"internet_data['user_id']\", \"messages_data['user_id']\", \"users_data['user_id']\"]\n",
"\n",
"for col in user_id_cols:\n",
" exec(col + \" = \" + col + \".astype(str)\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# round up 'duration', change to int64\n",
"\n",
"calls_data['duration'] = np.ceil(calls_data['duration']).astype('int64')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# change 'usd_per_message' & 'usd_per_minute' to int64\n",
"\n",
"plans_data[['usd_per_minute', 'usd_per_message']] = plans_data['usd_per_minute'].astype('int64')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"------- CALLS_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 137735 entries, 0 to 137734\n",
"Data columns (total 4 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 id 137735 non-null object \n",
" 1 user_id 137735 non-null object \n",
" 2 call_date 137735 non-null datetime64[ns]\n",
" 3 duration 137735 non-null int64 \n",
"dtypes: datetime64[ns](1), int64(1), object(2)\n",
"memory usage: 4.2+ MB\n",
"None\n",
"\n",
"\n",
"------- INTERNET_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 104825 entries, 0 to 104824\n",
"Data columns (total 4 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 id 104825 non-null object \n",
" 1 user_id 104825 non-null object \n",
" 2 session_date 104825 non-null datetime64[ns]\n",
" 3 mb_used 104825 non-null float64 \n",
"dtypes: datetime64[ns](1), float64(1), object(2)\n",
"memory usage: 3.2+ MB\n",
"None\n",
"\n",
"\n",
"------- MESSAGES_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 76051 entries, 0 to 76050\n",
"Data columns (total 3 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 id 76051 non-null object \n",
" 1 user_id 76051 non-null object \n",
" 2 message_date 76051 non-null datetime64[ns]\n",
"dtypes: datetime64[ns](1), object(2)\n",
"memory usage: 1.7+ MB\n",
"None\n",
"\n",
"\n",
"------- PLANS_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 2 entries, 0 to 1\n",
"Data columns (total 8 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 messages_included 2 non-null int64 \n",
" 1 mb_per_month_included 2 non-null int64 \n",
" 2 minutes_included 2 non-null int64 \n",
" 3 usd_monthly_pay 2 non-null int64 \n",
" 4 usd_per_gb 2 non-null int64 \n",
" 5 usd_per_message 2 non-null int64 \n",
" 6 usd_per_minute 2 non-null int64 \n",
" 7 plan_name 2 non-null object\n",
"dtypes: int64(7), object(1)\n",
"memory usage: 256.0+ bytes\n",
"None\n",
"\n",
"\n",
"------- USERS_DATA INFO -------\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 500 entries, 0 to 499\n",
"Data columns (total 8 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 user_id 500 non-null object \n",
" 1 first_name 500 non-null object \n",
" 2 last_name 500 non-null object \n",
" 3 age 500 non-null int64 \n",
" 4 city 500 non-null object \n",
" 5 reg_date 500 non-null datetime64[ns]\n",
" 6 plan 500 non-null object \n",
" 7 churn_date 500 non-null datetime64[ns]\n",
"dtypes: datetime64[ns](2), int64(1), object(5)\n",
"memory usage: 31.4+ KB\n",
"None\n",
"\n",
"\n"
]
}
],
"source": [
"# check final results after replacing mising values and changing data types\n",
"\n",
"for new_df in new_dfs.keys():\n",
" print('------- ' + new_df.upper() + ' INFO -------')\n",
" exec('print(' + new_df + '.info())')\n",
" print('')\n",
" print('')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Call durations that are 0 <a name=\"step_2_3\"></a>\n",
"\n",
"Aside from filling missing values and converting data types, we also need to look at an interesting aspect of the **duration** column in the **calls_data** DataFrame. A significant portion of these values are 0, which are most likely missed calls. Let's look at what percentage of these are missed calls to determine whether or not to keep these roew for our final analysis."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total number of missed calls: 26834\n",
"Total number of calls: 137735\n",
"Percentage of missed calls: 19.48%\n"
]
}
],
"source": [
"# find percentage of missed calls\n",
"\n",
"missed_calls = calls_data['duration'].value_counts()[0]\n",
"all_calls = calls_data['duration'].count()\n",
"\n",
"print('Total number of missed calls: {}'.format(missed_calls))\n",
"print('Total number of calls: {}'.format(all_calls))\n",
"print('Percentage of missed calls: {:.2f}%'.format(missed_calls / all_calls * 100))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Around a fifth of the data in the **calls_data** DataFrame is from missed calls. This is a significant portion, and it's probably best to keep it. We need to keep in mind though that is can skew the mean of the **call_duration** column of we were to ever need that in our analysis."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Calls, messages, & data prior to registration & after churn dates <a name=\"step_2_4\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We need to check if there are any calls, data sessions or messages sent before or after the registration and churn dates for any given user. We can compare the 'min' and 'max' dates (first and last observations) for each user with their churn and registration dates to see if there are any anomalies."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['1006', '1012', '1022', '1040', '1050', '1067', '1083', '1084', '1094', '1106', '1172', '1180', '1191', '1220', '1246', '1281', '1296', '1298', '1300', '1315', '1358', '1363', '1402', '1414', '1416', '1441', '1451', '1466', '1467', '1491']\n",
"[]\n",
"['1006', '1067', '1083', '1084', '1094', '1172', '1180', '1191', '1220', '1246', '1281', '1296', '1298', '1315', '1358', '1363', '1414', '1416', '1441', '1451', '1466', '1467', '1491']\n",
"[]\n",
"['1006', '1012', '1022', '1040', '1050', '1067', '1083', '1084', '1094', '1106', '1172', '1180', '1191', '1220', '1246', '1281', '1296', '1298', '1300', '1315', '1358', '1363', '1402', '1414', '1416', '1441', '1451', '1466', '1467', '1491']\n",
"[]\n"
]
}
],
"source": [
"# checking for calls, messages, or data sessions that occur outside subsription dates\n",
"\n",
"call_dates_by_user = calls_data.groupby('user_id')['call_date'].unique()\n",
"message_dates_by_user = messages_data.groupby('user_id')['message_date'].unique()\n",
"session_dates_by_user = internet_data.groupby('user_id')['session_date'].unique()\n",
"\n",
"users_data.set_index('user_id', inplace=True)\n",
"\n",
"call_after_churn = []\n",
"message_after_churn = []\n",
"session_after_churn = []\n",
"\n",
"call_before_reg = []\n",
"message_before_reg = []\n",
"session_before_reg = []\n",
"\n",
"for user in range(1000, 1500):\n",
" user = str(user)\n",
" try:\n",
" if call_dates_by_user[user].min() < users_data.loc[user, 'reg_date']: # is first call before registration?\n",
" call_before_reg.append(user)\n",
" if call_dates_by_user[user].max() > users_data.loc[user, 'churn_date']: # is last call after churn date?\n",
" call_after_churn.append(user)\n",
" except KeyError:\n",
" pass\n",
" try:\n",
" if message_dates_by_user[user].min() < users_data.loc[user, 'reg_date']: # is first message before registration?\n",
" message_before_reg.append(user)\n",
" if message_dates_by_user[user].max() > users_data.loc[user, 'churn_date']: # is last message after churn date?\n",
" message_after_churn.append(user)\n",
" except KeyError:\n",
" pass\n",
" try:\n",
" if session_dates_by_user[user].min() < users_data.loc[user, 'reg_date']: # is first session before registration?\n",
" session_before_reg.append(user)\n",
" if session_dates_by_user[user].max() > users_data.loc[user, 'churn_date']: # is last session after churn date?\n",
" session_after_churn.append(user)\n",
" except KeyError:\n",
" pass\n",
"\n",
"users_data.reset_index(inplace=True)\n",
"\n",
"print(call_after_churn)\n",
"print(call_before_reg)\n",
"\n",
"print(message_after_churn)\n",
"print(message_before_reg)\n",
"\n",
"print(session_after_churn)\n",
"print(session_before_reg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"After screening our users, we can see there are a considerable number of them who made calls, sent messages, or used data after the churn date. The most likely reason for this is because the churn date only shows the date their plan was cancelled, not when their service is interrupted. If the churn date falls in the middle of the month and the customer has already paid for 1 month of service, they can still use the service until the end of the month. Either way, this discovery will not have any implications further into the analysis and we can leave this data alone."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Monthly sums & counts using pivot tables <a name=\"step_2_5\"></a>\n",
"For each unique user, we need to find the following to carry out our analysis:\n",
"- number of calls made per month\n",
"- minutes used per month\n",
"- number of text messages per month\n",
"- volume of data per month\n",
"- monthly revenue from each user\n",
"\n",
"We can do this using pivot tables. For each DataFrame, we can add a new column with the month each event or observation occured in. Then, we use a pivot table with index set as **user_id** and columns for each month. The aggfunc argument controls the operation we want to perform. In this case, it will be either **sum** or **count**."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Calls per month per user <a name=\"step_2_5_1\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>call_month</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" </tr>\n",
" <tr>\n",
" <th>user_id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1000</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1001</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>27</td>\n",
" <td>49</td>\n",
" <td>65</td>\n",
" <td>64</td>\n",
" <td>56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1002</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>11</td>\n",
" <td>55</td>\n",
" <td>47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1003</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>149</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1004</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>21</td>\n",
" <td>44</td>\n",
" <td>49</td>\n",
" <td>49</td>\n",
" <td>42</td>\n",
" <td>61</td>\n",
" <td>54</td>\n",
" <td>50</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"call_month 1 2 3 4 5 6 7 8 9 10 11 12\n",
"user_id \n",
"1000 0 0 0 0 0 0 0 0 0 0 0 16\n",
"1001 0 0 0 0 0 0 0 27 49 65 64 56\n",
"1002 0 0 0 0 0 0 0 0 0 11 55 47\n",
"1003 0 0 0 0 0 0 0 0 0 0 0 149\n",
"1004 0 0 0 0 21 44 49 49 42 61 54 50"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create new 'call_month' column\n",
"calls_data['call_month'] = pd.DatetimeIndex(calls_data['call_date']).month\n",
"\n",
"# pivot table counts unique calls per month for each user\n",
"calls_per_month = calls_data.pivot_table(index='user_id', values='id', columns='call_month', aggfunc='count', fill_value=0)\n",
"calls_per_month.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Minutes per month per user <a name=\"step_2_5_2\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>call_month</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" </tr>\n",
" <tr>\n",
" <th>user_id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1000</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>124</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1001</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>182</td>\n",
" <td>315</td>\n",
" <td>393</td>\n",
" <td>426</td>\n",
" <td>412</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1002</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>59</td>\n",
" <td>386</td>\n",
" <td>384</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1003</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1104</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1004</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>193</td>\n",
" <td>275</td>\n",
" <td>381</td>\n",
" <td>354</td>\n",
" <td>301</td>\n",
" <td>365</td>\n",
" <td>476</td>\n",
" <td>427</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"call_month 1 2 3 4 5 6 7 8 9 10 11 12\n",
"user_id \n",
"1000 0 0 0 0 0 0 0 0 0 0 0 124\n",
"1001 0 0 0 0 0 0 0 182 315 393 426 412\n",
"1002 0 0 0 0 0 0 0 0 0 59 386 384\n",
"1003 0 0 0 0 0 0 0 0 0 0 0 1104\n",
"1004 0 0 0 0 193 275 381 354 301 365 476 427"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# pivot table sums call durations for each month for each user\n",
"mins_per_month = calls_data.pivot_table(index='user_id', values='duration', columns='call_month', aggfunc='sum', fill_value=0)\n",
"mins_per_month.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Messages per month per user <a name=\"step_2_5_3\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>message_month</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
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" <th>10</th>\n",
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" <th>12</th>\n",
" </tr>\n",
" <tr>\n",
" <th>user_id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>1000</th>\n",
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" <th>1001</th>\n",
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" <td>0</td>\n",
" <td>15</td>\n",
" <td>32</td>\n",
" <td>41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1003</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1004</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>18</td>\n",
" <td>26</td>\n",
" <td>25</td>\n",
" <td>21</td>\n",
" <td>24</td>\n",
" <td>25</td>\n",
" <td>31</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"message_month 1 2 3 4 5 6 7 8 9 10 11 12\n",
"user_id \n",
"1000 0 0 0 0 0 0 0 0 0 0 0 11\n",
"1001 0 0 0 0 0 0 0 30 44 53 36 44\n",
"1002 0 0 0 0 0 0 0 0 0 15 32 41\n",
"1003 0 0 0 0 0 0 0 0 0 0 0 50\n",
"1004 0 0 0 0 7 18 26 25 21 24 25 31"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create new 'message_month' column\n",
"messages_data['message_month'] = pd.DatetimeIndex(messages_data['message_date']).month\n",
"\n",
"# pivot table counts messages sent per month for each user\n",
"messages_per_month = messages_data.pivot_table(index='user_id', values='id', columns='message_month', aggfunc='count', fill_value=0)\n",
"messages_per_month.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Data per month per user <a name=\"step_2_5_4\"></a>\n",
"The fictional company Megaline rounds monthly web data usage totals to the nearest gigabyte. Individual web sessions are not rounded up. Instead, the total for the month is rounded up. If someone uses 1025 megabytes this month, they will be charged for 2 gigabytes. 1 GB = 1024 MB for this calculation."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
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"</div>"
],
"text/plain": [
"session_month 1 2 3 4 5 6 7 8 9 10 11 12\n",
"user_id \n",
"1000 0 0 0 0 0 0 0 0 0 0 0 2\n",
"1001 0 0 0 0 0 0 0 7 14 22 19 19\n",
"1002 0 0 0 0 0 0 0 0 0 7 19 15\n",
"1003 0 0 0 0 0 0 0 0 0 0 0 27\n",
"1004 0 0 0 0 7 21 24 28 19 15 22 21"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create new 'session_month' column\n",
"internet_data['session_month'] = pd.DatetimeIndex(internet_data['session_date']).month\n",
"\n",
"# pivot table sums mb used per month for each user\n",
"gb_per_month = internet_data.pivot_table(index='user_id', values='mb_used', columns='session_month', aggfunc='sum', fill_value=0)\n",
"\n",
"# round to nearest GB, change type to int64\n",
"gb_per_month = np.ceil(gb_per_month / 1024).astype('int64')\n",
"gb_per_month.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Revenue per month per user <a name=\"step_2_5_5\"></a>\n",
"To find monthly revenue, we need to subtract the free monthly package limits from the total number of calls, text messages, and data per month. Then, we multiply the result by the calling plan value and add the monthly charge depending on the calling plan. Plans are outlined below:\n",
"\n",
"**Surf**\n",
"* Monthly charge: \\\\$20.00\n",
" * 500 monthly minutes\n",
" * 50 texts\n",
" * 15 GB of data\n",
"* After exceeding the package limits:\n",
" * 1 minute: \\\\$0.03\n",
" * 1 text message: \\\\$0.03\n",
" * 1 GB of data: \\\\$10.00\n",
"\n",
"**Ultimate**\n",
"* Monthly charge: \\\\$70.00\n",
" * 3000 monthly minutes\n",
" * 1000 texts\n",
" * 30 GB of data\n",
"* After exceeding the package limits:\n",
" * 1 minute: \\\\$0.01\n",
" * 1 text message: \\\\$0.01\n",
" * 1 GB of data: \\\\$7.00"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can handle this with a function that takes the **user_id**, **plan**, **reg_month**, and **churn_month** from the **users_data** DataFrame as arguments. We can then use the function along with the pandas .apply() method to create a DataFrame similar to our previous 4 pivot tables. Each row will show the user ID and revenue for each month of the year."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>user_id</th>\n",
" <th>first_name</th>\n",
" <th>last_name</th>\n",
" <th>age</th>\n",
" <th>city</th>\n",
" <th>reg_date</th>\n",
" <th>plan</th>\n",
" <th>churn_date</th>\n",
" <th>reg_month</th>\n",
" <th>churn_month</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1000</td>\n",
" <td>Anamaria</td>\n",
" <td>Bauer</td>\n",
" <td>45</td>\n",
" <td>Atlanta-Sandy Springs-Roswell, GA MSA</td>\n",
" <td>2018-12-24</td>\n",
" <td>ultimate</td>\n",
" <td>2018-12-31</td>\n",
" <td>12</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1001</td>\n",
" <td>Mickey</td>\n",
" <td>Wilkerson</td>\n",
" <td>28</td>\n",
" <td>Seattle-Tacoma-Bellevue, WA MSA</td>\n",
" <td>2018-08-13</td>\n",
" <td>surf</td>\n",
" <td>2018-12-31</td>\n",
" <td>8</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1002</td>\n",
" <td>Carlee</td>\n",
" <td>Hoffman</td>\n",
" <td>36</td>\n",
" <td>Las Vegas-Henderson-Paradise, NV MSA</td>\n",
" <td>2018-10-21</td>\n",
" <td>surf</td>\n",
" <td>2018-12-31</td>\n",
" <td>10</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1003</td>\n",
" <td>Reynaldo</td>\n",
" <td>Jenkins</td>\n",
" <td>52</td>\n",
" <td>Tulsa, OK MSA</td>\n",
" <td>2018-01-28</td>\n",
" <td>surf</td>\n",
" <td>2018-12-31</td>\n",
" <td>1</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1004</td>\n",
" <td>Leonila</td>\n",
" <td>Thompson</td>\n",
" <td>40</td>\n",
" <td>Seattle-Tacoma-Bellevue, WA MSA</td>\n",
" <td>2018-05-23</td>\n",
" <td>surf</td>\n",
" <td>2018-12-31</td>\n",
" <td>5</td>\n",
" <td>12</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" user_id first_name last_name age city \\\n",
"0 1000 Anamaria Bauer 45 Atlanta-Sandy Springs-Roswell, GA MSA \n",
"1 1001 Mickey Wilkerson 28 Seattle-Tacoma-Bellevue, WA MSA \n",
"2 1002 Carlee Hoffman 36 Las Vegas-Henderson-Paradise, NV MSA \n",
"3 1003 Reynaldo Jenkins 52 Tulsa, OK MSA \n",
"4 1004 Leonila Thompson 40 Seattle-Tacoma-Bellevue, WA MSA \n",
"\n",
" reg_date plan churn_date reg_month churn_month \n",
"0 2018-12-24 ultimate 2018-12-31 12 12 \n",
"1 2018-08-13 surf 2018-12-31 8 12 \n",
"2 2018-10-21 surf 2018-12-31 10 12 \n",
"3 2018-01-28 surf 2018-12-31 1 12 \n",
"4 2018-05-23 surf 2018-12-31 5 12 "
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# add registration month & churn month columns to users_data DataFrame\n",
"\n",
"users_data['reg_month'] = pd.DatetimeIndex(users_data['reg_date']).month\n",
"users_data['churn_month'] = pd.DatetimeIndex(users_data['churn_date']).month\n",
"users_data.head()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"# function takes row from users_data as argument\n",
"\n",
"def calc_monthly_rev(row):\n",
" \n",
" plan = row['plan']\n",
" user_id = row['user_id']\n",
" reg_month = row['reg_month']\n",
" churn_month = row['churn_month']\n",
"\n",
" if plan == 'surf': \n",
" try:\n",
" excess_mins_rev = (mins_per_month.loc[user_id] - 500).clip(lower=0) * 0.03 # revenue from minutes overages \n",
" except KeyError:\n",
" excess_mins_rev = 0 # if the user ID is missing (KeyError), there were no minutes used & revenue is 0\n",
" try:\n",
" excess_text_rev = (messages_per_month.loc[user_id] - 50).clip(lower=0) * 0.03 # revenue from text overages\n",
" except KeyError:\n",
" excess_text_rev = 0 # if the user ID is missing (KeyError), there were no texts sent & revenue is 0\n",
" try:\n",
" excess_data_rev = (gb_per_month.loc[user_id] - 15).clip(lower=0) * 10 # revenue from data overages\n",
" except KeyError:\n",
" excess_data_rev = 0 # if the user ID is missing (KeyError), there no data was used & revenue is 0\n",
"\n",
" monthly_rev = excess_mins_rev + excess_text_rev + excess_data_rev + 20 # sum oveages plus flat monthly plan fee\n",
"\n",
" if plan == 'ultimate':\n",
" try:\n",
" excess_mins_rev = (mins_per_month.loc[user_id] - 3000).clip(lower=0) * 0.01\n",
" except KeyError:\n",
" excess_mins_rev = 0\n",
" try:\n",
" excess_text_rev = (messages_per_month.loc[user_id] - 1000).clip(lower=0) * 0.01\n",
" except KeyError:\n",
" excess_text_rev = 0\n",
" try:\n",
" excess_data_rev = (gb_per_month.loc[user_id] - 30).clip(lower=0) * 7\n",
" except KeyError:\n",
" excess_data_rev = 0\n",
" \n",
" monthly_rev = excess_mins_rev + excess_text_rev + excess_data_rev + 70\n",
" \n",
" # this try-except block sets revenue to 0 for months prior to registration month & after churn month \n",
" try:\n",
" monthly_rev.where(cond=(reg_month <= monthly_rev.index) & (monthly_rev.index <= churn_month), other=0, inplace=True)\n",
" \n",
" except AttributeError:\n",
" monthly_rev = 0\n",
" \n",
" \n",
" return monthly_rev"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" </tr>\n",
" <tr>\n",
" <th>user_id</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1000</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.00</td>\n",
" <td>0.0</td>\n",
" <td>70.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1001</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>90.09</td>\n",
" <td>60.0</td>\n",
" <td>60.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1002</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>20.00</td>\n",
" <td>60.0</td>\n",
" <td>20.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1003</th>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>20.0</td>\n",
" <td>20.00</td>\n",
" <td>20.0</td>\n",
" <td>158.12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1004</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>20.0</td>\n",
" <td>80.0</td>\n",
" <td>110.0</td>\n",
" <td>150.0</td>\n",
" <td>60.0</td>\n",
" <td>20.00</td>\n",
" <td>90.0</td>\n",
" <td>80.00</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 1 2 3 4 5 6 7 8 9 10 11 \\\n",
"user_id \n",
"1000 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.00 0.0 \n",
"1001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 20.0 20.0 90.09 60.0 \n",
"1002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 20.00 60.0 \n",
"1003 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.0 20.00 20.0 \n",
"1004 0.0 0.0 0.0 0.0 20.0 80.0 110.0 150.0 60.0 20.00 90.0 \n",
"\n",
" 12 \n",
"user_id \n",
"1000 70.00 \n",
"1001 60.00 \n",
"1002 20.00 \n",
"1003 158.12 \n",
"1004 80.00 "
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# .apply() method returns DataFrame with monthly revenues per user\n",
"\n",
"rev_per_month = users_data.apply(calc_monthly_rev, axis=1)\n",
"rev_per_month.set_index(users_data['user_id'], inplace=True)\n",
"rev_per_month.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Conclusion <a name=\"step_2_conclusion\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We covered a lot of ground in Step 2. Let's recap what we did here:\n",
"- Replaced missing values in the **churn_date** column with 2018-12-31, the last day of the year.\n",
"- Changed all dates from *object* to *datetime* data type\n",
"- Changed **user_id** columns from *int64* to *object* data type\n",
"- Rounded the **duration** column up to minutes, and changed type from *float64* to *int64*\n",
"- Changed **usd_per_message** and **usd_per_minute** to *int64*\n",
"- Calculated the total data used per month, rounded up to the nearest gb, and changed type to *int64*\n",
"- Decided to keep the data where **call_duration** was zero\n",
"- Found where messages, sessions, and calls occurred after the churn date. We decided to keep this data as well\n",
"- Found monthly sums and counts using pivot tables for the following:\n",
" - number of calls made per month\n",
" - minutes used per month\n",
" - number of text messages per month\n",
" - volume of data per month\n",
" - monthly revenue from each user"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 3: Analyze the data <a name=\"step_3\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we'll find the minutes, texts, and volume of data the users of each plan require per month. Then, we'll calculate the mean, dispersion, and standard deviation. We'll also calculate this information without zero values and then use it to plot some histograms. Finally, we'll describe the distributions for this data."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"# get user IDs for people on the surf plan and people on the ultimate plan\n",
"\n",
"surfers = users_data.query('plan == \"surf\"')['user_id']\n",
"ultimaters = users_data.query('plan == \"ultimate\"')['user_id']"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"# new DataFrames for monthly minutes, texts, data, & stats for each plan\n",
"\n",
"pivot_tables = ['mins_per_month', 'messages_per_month', 'gb_per_month', 'rev_per_month']\n",
"\n",
"for table in pivot_tables:\n",
" exec('surfers_' + table + ' = ' + table + '[' + table + '.index.isin(surfers)]')\n",
" exec('ultimaters_' + table + ' = ' + table + '[' + table + '.index.isin(ultimaters)]')\n",
" \n",
" exec('surfers_' + table + '_stats = surfers_' + table + '.aggregate([\"mean\", \"std\", \"var\"]).round(2)')\n",
" exec('ultimaters_' + table + '_stats = ultimaters_' + table + '.aggregate([\"mean\", \"std\", \"var\"]).round(2)')"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"# new DataFrames for monthly minutes, texts, data, & stats for each plan excluding zeros\n",
"\n",
"mins_per_month_no_zeros = calls_data.pivot_table(index='user_id', values='duration', columns='call_month', aggfunc='sum')\n",
"\n",
"surfers_mins_per_month_no_zeros = mins_per_month_no_zeros[mins_per_month_no_zeros.index.isin(surfers)]\n",
"surfers_mins_per_month_no_zeros_stats = surfers_mins_per_month_no_zeros.aggregate(['nanmean', 'nanstd', 'nanvar'])\n",
"\n",
"ultimaters_mins_per_month_no_zeros = mins_per_month_no_zeros[mins_per_month_no_zeros.index.isin(ultimaters)]\n",
"ultimaters_mins_per_month_no_zeros_stats = ultimaters_mins_per_month_no_zeros.aggregate(['nanmean', 'nanstd', 'nanvar'])\n",
"\n",
"\n",
"\n",
"messages_per_month_no_zeros = messages_data.pivot_table(index='user_id', values='id', columns='message_month', aggfunc='count')\n",
"\n",
"surfers_messages_per_month_no_zeros = messages_per_month_no_zeros[messages_per_month_no_zeros.index.isin(surfers)]\n",
"surfers_messages_per_month_no_zeros_stats = surfers_messages_per_month_no_zeros.aggregate(['nanmean', 'nanstd', 'nanvar'])\n",
"\n",
"ultimaters_messages_per_month_no_zeros = messages_per_month_no_zeros[messages_per_month_no_zeros.index.isin(ultimaters)]\n",
"ultimaters_messages_per_month_no_zeros_stats = ultimaters_messages_per_month_no_zeros.aggregate(['nanmean', 'nanstd', 'nanvar'])\n",
"\n",
"\n",
"\n",
"gb_per_month_no_zeros = internet_data.pivot_table(index='user_id', values='mb_used', columns='session_month', aggfunc='sum')\n",
"gb_per_month_no_zeros = np.ceil(gb_per_month_no_zeros / 1024)\n",
"\n",
"surfers_gb_per_month_no_zeros = gb_per_month_no_zeros[gb_per_month_no_zeros.index.isin(surfers)]\n",
"surfers_gb_per_month_no_zeros_stats = surfers_gb_per_month_no_zeros.aggregate(['nanmean', 'nanstd', 'nanvar'])\n",
"\n",
"ultimaters_gb_per_month_no_zeros = gb_per_month_no_zeros[gb_per_month_no_zeros.index.isin(ultimaters)]\n",
"ultimaters_gb_per_month_no_zeros_stats = ultimaters_gb_per_month_no_zeros.aggregate(['nanmean', 'nanstd', 'nanvar'])"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"# create list of months to loop through for plotting histograms\n",
"\n",
"month_list = ['January',\n",
" 'February',\n",
" 'March',\n",
" 'April',\n",
" 'May',\n",
" 'June',\n",
" 'July',\n",
" 'August',\n",
" 'September',\n",
" 'October',\n",
" 'November',\n",
" 'December'\n",
" ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Histograms of minutes used per month by plan <a name=\"step_3_1\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x2160 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot histograms of minutes per month for both plans\n",
"\n",
"fig, axes = plt.subplots(6, 2, figsize=(16, 30))\n",
"axes = axes.reshape(-1)\n",
"plt.subplots_adjust(hspace=0.35)\n",
"bins = 12\n",
"\n",
"for month in range(0, 12):\n",
" surf_mu = surfers_mins_per_month_no_zeros_stats.loc['nanmean', month + 1]\n",
" surf_sigma = surfers_mins_per_month_no_zeros_stats.loc['nanstd', month + 1]\n",
" \n",
" ultimate_mu = ultimaters_mins_per_month_no_zeros_stats.loc['nanmean', month + 1]\n",
" ultimate_sigma = ultimaters_mins_per_month_no_zeros_stats.loc['nanstd', month + 1] \n",
" \n",
" surf_n, surf_bins, surf_patches = axes[month].hist(surfers_mins_per_month_no_zeros[month + 1],\n",
" bins=bins,\n",
" range=(0, 1400),\n",
" density=True,\n",
" histtype='step',\n",
" color='blue'\n",
" )\n",
" \n",
" ultimate_n, ultimate_bins, ultimate_patches = axes[month].hist(ultimaters_mins_per_month_no_zeros[month + 1],\n",
" bins=bins,\n",
" range=(0, 1400),\n",
" density=True,\n",
" histtype='step',\n",
" color='red'\n",
" )\n",
" \n",
" axes[month].set_title(month_list[month])\n",
" axes[month].set_xlabel('Minutes used')\n",
" axes[month].set_ylabel('Frequency')\n",
" axes[month].legend(['surf', 'ultimate'])\n",
" axes[month].annotate(xy=(0.75, 0.7), text='surf $\\mu=$' + str(surf_mu.round(2)), xycoords='axes fraction')\n",
" axes[month].annotate(xy=(0.75, 0.625), text='ultimate $\\mu=$' + str(ultimate_mu.round(2)), xycoords='axes fraction')\n",
" \n",
" surf_best_fit_line = st.norm.pdf(surf_bins, surf_mu, surf_sigma) \n",
" axes[month].plot(surf_bins, surf_best_fit_line, color='blue')\n",
" \n",
" ultimate_best_fit_line = st.norm.pdf(ultimate_bins, ultimate_mu, ultimate_sigma)\n",
" axes[month].plot(ultimate_bins, ultimate_best_fit_line, color='red')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot histograms of minutes for the entire year for both plans\n",
"\n",
"fig, axes = plt.subplots(1, 2, figsize=(16, 4))\n",
"axes = axes.reshape(-1)\n",
"num_bins = 12\n",
"\n",
"\n",
"surf_mu = surfers_mins_per_month_no_zeros.transpose().sum().mean() # find mean for surfers\n",
"surf_sigma = surfers_mins_per_month_no_zeros.transpose().sum().std() # find std deviation for surfers\n",
"\n",
"n, bins, patches = axes[0].hist(surfers_mins_per_month_no_zeros.transpose().sum(),\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 10000),\n",
" color='blue',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[0].set_title('Surf Plan, 2018')\n",
"axes[0].set_xlabel('Minutes used')\n",
"axes[0].set_ylabel('Frequency')\n",
"axes[0].annotate(xy=(0.75, 0.9), text='surf $\\mu=$' + str(int(surf_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, surf_mu, surf_sigma) \n",
"axes[0].plot(bins, best_fit_line, color='blue') # plot best fit line\n",
"\n",
"\n",
"ultimate_mu = ultimaters_mins_per_month_no_zeros.transpose().sum().mean() # find mean for ultimaters\n",
"ultimate_sigma = ultimaters_mins_per_month_no_zeros.transpose().sum().std() # find std deviation for ultimaters\n",
"\n",
"n, bins, patches = axes[1].hist(ultimaters_mins_per_month_no_zeros.transpose().sum(),\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 10000),\n",
" color='red',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[1].set_title('Ultimate Plan, 2018')\n",
"axes[1].set_xlabel('Minutes used')\n",
"axes[1].set_ylabel('Frequency')\n",
"axes[1].annotate(xy=(0.75, 0.9), text='ultimate $\\mu=$' + str(int(ultimate_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, ultimate_mu, ultimate_sigma)\n",
"axes[1].plot(bins, best_fit_line, color='red') # plot best fit line\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Conclusion <a name=\"step_3_1_1\"></a>\n",
"The number of minutes used per month is normally distributed for both Surf and Ultimate plans across all 12 months. Earlier months in the year have a lot of users with zero minutes used. This is because the data wasn't collected until the user had subscribed to a plan. Earlier in the year, there weren't many subscribers. As the year progresses, that the data becomes more meaningful as new users are added to each plan. The mean number of minutes used for each plan is roughly the same.\n",
"\n",
"Looking at the data for the entire year, we can see the distributions for Surf and Ultimate are also approximately the same. Yearly data when compared to monthly data shows considerable positive skew. As number of minutes for the year increases, the number of users decreases.\n",
"\n",
"It looks like those on the Ultimate plan aren't very aware of their minutes usage. The majority of these customers never exceed the 3000 monthly minutes provided by the plan. This is good news for Megaline though, since these customers use roughly the same phone call rescources as the those on the Surf plan but pay more than triple the price!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Histograms of messages sent per month by plan <a name=\"step_3_2\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\nmada\\anaconda3\\lib\\site-packages\\scipy\\stats\\_distn_infrastructure.py:1760: RuntimeWarning: divide by zero encountered in true_divide\n",
" x = np.asarray((x - loc)/scale, dtype=dtyp)\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x2160 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot histograms of messages per month for both plans\n",
"\n",
"fig, axes = plt.subplots(6, 2, figsize=(16, 30))\n",
"axes = axes.reshape(-1)\n",
"plt.subplots_adjust(hspace=0.35)\n",
"bins = 12\n",
"\n",
"for month in range(0, 12):\n",
" surf_mu = surfers_messages_per_month_no_zeros_stats.loc['nanmean', month + 1]\n",
" surf_sigma = surfers_messages_per_month_no_zeros_stats.loc['nanstd', month + 1]\n",
" \n",
" ultimate_mu = ultimaters_messages_per_month_no_zeros_stats.loc['nanmean', month + 1]\n",
" ultimate_sigma = ultimaters_messages_per_month_no_zeros_stats.loc['nanstd', month + 1]\n",
" \n",
" surf_n, surf_bins, surf_patches = axes[month].hist(surfers_messages_per_month_no_zeros[month + 1],\n",
" bins=bins,\n",
" range=(0, 200),\n",
" density=True,\n",
" histtype='step',\n",
" color='blue'\n",
" )\n",
" \n",
" ultimate_n, ultimate_bins, ultimate_patches = axes[month].hist(ultimaters_messages_per_month_no_zeros[month + 1],\n",
" bins=bins,\n",
" range=(0, 200),\n",
" density=True,\n",
" histtype='step',\n",
" color='red'\n",
" )\n",
" \n",
" axes[month].set_title(month_list[month])\n",
" axes[month].set_xlabel('Messages sent')\n",
" axes[month].set_ylabel('Frequency')\n",
" axes[month].legend(['surf', 'ultimate'])\n",
" axes[month].annotate(xy=(0.75, 0.7), text='surf $\\mu=$' + str(surf_mu.round(2)), xycoords='axes fraction')\n",
" axes[month].annotate(xy=(0.75, 0.625), text='ultimate $\\mu=$' + str(ultimate_mu.round(2)), xycoords='axes fraction')\n",
" \n",
" surf_best_fit_line = st.norm.pdf(surf_bins, surf_mu, surf_sigma) \n",
" axes[month].plot(surf_bins, surf_best_fit_line, color='blue')\n",
" \n",
" ultimate_best_fit_line = st.norm.pdf(ultimate_bins, ultimate_mu, ultimate_sigma)\n",
" axes[month].plot(ultimate_bins, ultimate_best_fit_line, color='red')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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00QbF/uGHH3LHHXfw+uuv06lTJ775zW9y7bXXcvTRRzfovGZmZqWsd+/eXyWjAwYMYI899kASW265JW+88cZX9S699FJuu+02ID2r+9prr7HhhhuudK5///vfTJkyhW233RaAxYsXs/76669UJ58xH+o27n/66acccsgh/OEPf2CttdYiYpW0jIobm3feeSfrr78+22yzDQ899FDe39EYCpkMzwV65nzuAbyTZ5221ZRvAvQGKu4K9wCelbRdnt9HRIwDxgEMHTp01f8qZmYlZLPNNmPKlClMnDiRM888k7322ovvfOc7LF++/Ks6FYtSAayxxhp5nXfq1KkrDYRTpkzh8MMPX6lOQ+8MP/DAA/Tu3ZsuXboAcPDBB/PEE084GTYzs5LWpk2basfhfLRr1+6r961atfrqc6tWrVi6dCkADz30EA888ABPPvkkHTp0YNddd63yeyKCY489lt/+9rfVfl8+Yz7kP+5/+eWXHHLIIRx11FEcfPDBQLoTPGfOiom/c+fO/erRqMcff5wJEyYwceJEPv/8cz7++GOOPvporr322mpjbiyFfGb4GaCvpN6S2pIWt5pQqc4E4JhsVentgYURMa+6thHxQkSsHxG9IqIXKQEeEhHvZuc6QlI7Sb1Ji3I9jZlZC/bOO+/QoUMHjj76aH784x/z7LPPssEGG/D++++zYMEClixZwp133lnn8z7//PNfDaqvvfYad9xxxypTph599FGmTp26yiufRBjS7JxJkyaxaNEiIoJ///vfTb5whpmZWWPLZxzu2LFjg6YEL1y4kHXWWYcOHTrwyiuvMGnSpCrPu8cee3DLLbfw/vvvA/DBBx/w5ptvrnSufMZ8yG/cjwhOOOEE+vXrx2mnnfZV+bbbbstrr73G66+/zhdffMH48eM54IADAPjtb3/L3LlzeeONNxg/fjy77757kyTCUMBkOCKWAqcC9wIvAzdFxHRJJ0s6Oas2EZhNWuzqL8ApNbWt5fumAzcBLwH3AKMjYtWnw83MWpAXXnjhq0Uxzj33XH7+85+z2mqrcfbZZzNs2DD2228/tthiizqfd+rUqSxfvpytttqKc845h379+vGPf/yjXjEeeeSR7LDDDsyYMYMePXrwt7/9DYBhw4Zx6KGHMmTIELbcckuWL1/OqFGjamxjDVeIbQ8l/TqrO1XSfZK6ZeW9JC3OyqdKGts0vTQzK558xuF1112XnXbaiYEDB3610FVdDB8+nKVLlzJo0CB+8YtffPUIVOXz9u/fn9/85jfstddeDBo0iD333JN58+atdK7GHPMff/xxrrnmGv7zn/8wePBgBg8ezMSJE2nTpg1//vOf2XvvvenXrx+HHXYYAwYMqNd3NCZVNX+7XAwdOjQmT57cKOeqtEBckyrmd5tZy7Tpppvy3HPP0bFjx2KHUlIkTYmIocWOozrZloOvkrYnnEuaiXVkRLyUU2cf4PvAPqTFK/8YEcNqaitprYj4OGv/A6B/RJwsqRdwZ0TkvSxpY47NRRsgPTCbWQlp6WN+TWNzIadJm5lZCfrkk09o1apVix0Uy1xBtj2sSIQza1DFApZmZtb8lPuY72TYzMxW0rFjR1599dVih2GFUd2WhvnUqbGtpHMlzQGOAs7Oqddb0nOSHpa0c1VBSRolabKkyfPnz69rn8zMrJ7Kfcx3MmxmZlY+Gn3bw6/eRJwVET2B60jrfgDMAzaKiK2B04DrJa21ykkixkXE0IgYWrG6uJmZWaE5GTYzMysfDdn2MK8tDIHrgUMAImJJRCzI3k8BZgGbNSB+MzOzRuNk2MzMrHw0+raHAJL65rQ/AHglK++SLbyFpD6kbQ9nF657ZmZm+WtT7ADMzMysaUTEUkkVWxe2Bq6s2PYwOz6WtO3hPqRtDxcBx9fUNjv1+ZI2B5YDbwIVWyjuApwjaSmwDDg5Ij5ogq6amZnVysmwmZlZGYmIiaSEN7dsbM77AEbn2zYrP6Sa+rcCtzYkXjMzs0LxNGkzMzMzMzMrO06GzczMzMzMrOw4GTYzMzMzM7Oy42TYzMzMzMzMyo6TYTMzMzMzMys7TobNzMzMzMys7DgZNjMzMzMzs7LjZNjMzMzMzMzKjpNhMzMzMzMzKzsFTYYlDZc0Q9JMSWdUcVySLs2OT5M0pLa2kn6d1Z0q6T5J3bLyXpIWZ+VTJY0tZN/MzMzMzMysdBUsGZbUGrgMGAH0B46U1L9StRFA3+w1Crgij7YXRsSgiBgM3AmcnXO+WRExOHudXJiemZmZmZmZWakr5J3h7YCZETE7Ir4AxgMjK9UZCVwdySSgk6SuNbWNiI9z2q8BRAH7YGZmZmZmZi1QIZPh7sCcnM9zs7J86tTYVtK5kuYAR7HyneHekp6T9LCknRveBTMzMzMzM2uJCpkMq4qyyndxq6tTY9uIOCsiegLXAadmxfOAjSJia+A04HpJa60SlDRK0mRJk+fPn59HN8zMzMzMzKylKWQyPBfomfO5B/BOnnXyaQtwPXAIQEQsiYgF2fspwCxgs8oNImJcRAyNiKFdunSpU4fMzMzMzMysZShkMvwM0FdSb0ltgSOACZXqTACOyVaV3h5YGBHzamorqW9O+wOAV7LyLtnCW0jqQ1qUa3bhumdmZmZmZmalqk2hThwRSyWdCtwLtAaujIjpkk7Ojo8FJgL7ADOBRcDxNbXNTn2+pM2B5cCbQMWq0bsA50haCiwDTo6IDwrVPzMzMzMzMytdBUuGASJiIinhzS0bm/M+gNH5ts3KD6mm/q3ArQ2J18zMzMzMzMpDIadJm5mZmZmZmTVLTobNzMzKiKThkmZIminpjCqOS9Kl2fFpkobU1lbSr7O6UyXdJ6lbzrEzs/ozJO1d+B6amZnlx8mwmZlZmcgWmrwMGAH0B46U1L9StRGkRSj7AqOAK/Joe2FEDIqIwcCdwNlZm/6kRTAHAMOByysWuzQzMys2J8NmZmblYztgZkTMjogvgPHAyEp1RgJXRzIJ6CSpa01tI+LjnPZrAJFzrvHZ9oevkxbM3K5QnTMzM6sLJ8NmZmblozswJ+fz3Kwsnzo1tpV0rqQ5wFFkd4bz/D4kjZI0WdLk+fPn16lDZmZm9eVk2MzMrHyoirLIs06NbSPirIjoCVwHnFqH7yMixkXE0IgY2qVLlyoDNzMza2xOhs3MzMrHXKBnzucewDt51smnLcD1QMU2iPm2MTMza3JOhs3MzMrHM0BfSb0ltSUtbjWhUp0JwDHZqtLbAwsjYl5NbSX1zWl/APBKzrmOkNROUm/SolxPF6pzZmZmddGm2AGYmZlZ04iIpZJOBe4FWgNXRsR0SSdnx8cCE4F9SItdLQKOr6ltdurzJW0OLAfeBCrON13STcBLwFJgdEQsa5rempmZ1czJsJmZWRmJiImkhDe3bGzO+wBG59s2Kz+kiuoVx84Fzq1vvGZmZoXiadJmZmZmZmZWdpwMm5mZmZmZWdlxMmxmZmZmZmZlx8mwmZmZmZmZlR0nw2ZmZmZmZlZ2nAybmZmZmZlZ2SloMixpuKQZkmZKOqOK45J0aXZ8mqQhtbWV9Ous7lRJ90nqlnPszKz+DEl7F7JvZmZmZmZmVroKlgxLag1cBowA+gNHSupfqdoIoG/2GgVckUfbCyNiUEQMBu4Ezs7a9AeOAAYAw4HLs/OYmZmZmZmZraSQd4a3A2ZGxOyI+AIYD4ysVGckcHUkk4BOkrrW1DYiPs5pvwYQOecaHxFLIuJ1YGZ2HjMzMzMzM7OVFDIZ7g7Myfk8NyvLp06NbSWdK2kOcBTZneE8vw9JoyRNljR5/vz5deqQmZmZmZmZtQyFTIZVRVnkWafGthFxVkT0BK4DTq3D9xER4yJiaEQM7dKlS5WBm5mZmZmZWctWyGR4LtAz53MP4J086+TTFuB64JA6fJ+ZmZmZmZlZQZPhZ4C+knpLakta3GpCpToTgGOyVaW3BxZGxLya2krqm9P+AOCVnHMdIamdpN6kRbmeLlTnzMzMzMzMrHS1KdSJI2KppFOBe4HWwJURMV3SydnxscBEYB/SYleLgONrapud+nxJmwPLgTeBivNNl3QT8BKwFBgdEcsK1T8zMzMzMzMrXQVLhgEiYiIp4c0tG5vzPoDR+bbNyg+ponrFsXOBc+sbr5mZmZmZmZWHQk6TNjMzMzMzM2uWnAybmZmZmZlZ2XEybGZmZmZmZmXHybCZmVkZkTRc0gxJMyWdUcVxSbo0Oz5N0pDa2kq6UNIrWf3bJHXKyntJWixpavYaW/n7zMzMisXJsJmZWZmQ1Bq4DBgB9AeOlNS/UrURpO0J+wKjgCvyaHs/MDAiBgGvAmfmnG9WRAzOXicXpmdmZmZ152TYzMysfGwHzIyI2RHxBTAeGFmpzkjg6kgmAZ0kda2pbUTcFxFLs/aTgB5N0RkzM7OGcDJsZmZWProDc3I+z83K8qmTT1uA7wB353zuLek5SQ9L2rmqoCSNkjRZ0uT58+fn1xMzM7MGcjJsZmZWPlRFWeRZp9a2ks4ClgLXZUXzgI0iYmvgNOB6SWutcpKIcRExNCKGdunSpZYumJmZNY42xQ7AzMzMmsxcoGfO5x7AO3nWaVtTW0nHAvsBe0REAETEEmBJ9n6KpFnAZsDkxuiMmZlZQ/jOsJmZWfl4BugrqbektsARwIRKdSYAx2SrSm8PLIyIeTW1lTQcOB04ICIWVZxIUpds4S0k9SEtyjW7sF00MzPLj+8Mm5mZlYmIWCrpVOBeoDVwZURMl3RydnwsMBHYB5gJLAKOr6ltduo/A+2A+yUBTMpWjt4FOEfSUmAZcHJEfNA0vTUzM6uZk2EzM7MyEhETSQlvbtnYnPcBjM63bVa+aTX1bwVubUi8ZmZmhZLXNGlJAwsdiJmZmeXPY7OZmVnD5PvM8FhJT0s6RVKnQgZkZmZmefHYbGZm1gB5JcMR8TXgKNIqkpMlXS9pz4JGZmZmZtXy2GxmZtYwea8mHRGvAT8nrRb5deBSSa9IOrhQwZmZmVn1PDabmZnVX77PDA+SdAnwMrA7sH9E9MveX1JDu+GSZkiaKemMKo5L0qXZ8WmShtTWVtKF2UA/TdJtFVPDJPWStFjS1Ow1tvL3mZmZtRT1HZvNzMwsyffO8J+BZ4GtImJ0RDwLEBHvkK5IryLbV/AyYATQHzhSUv9K1UaQ9hzsC4wCrsij7f3AwIgYBLwKnJlzvlkRMTh7nZxn38zMzEpRncdmMzMzWyHfrZX2ARZHxDIASa2A1SNiUURcU02b7YCZETE7azMeGAm8lFNnJHB1to3DJEmdJHUFelXXNiLuy2k/CTg0zz6YmZm1JPUZm83MzCyT753hB4D2OZ87ZGU16Q7Myfk8NyvLp04+bQG+A9yd87m3pOckPSxp56qCkjRK0mRJk+fPn19LF8zMzJqt+ozNZmZmlsk3GV49Ij6t+JC971BLG1VRFnnWqbWtpLOApcB1WdE8YKOI2Bo4Dbhe0lqrnCRiXEQMjYihXbp0qaULZmZmzVZ9xmYzMzPL5JsMf1ZpcattgMW1tJlL2u6hQg/gnTzr1NhW0rHAfsBR2RRrImJJRCzI3k8BZgGb1dozMzOz0lSfsdnMzMwy+T4z/EPgZkkVCWlX4PBa2jwD9JXUG3gbOAL4VqU6E4BTs2eChwELI2KepPnVtZU0nGwLiYhYVHEiSV2ADyJimaQ+pEW5ZufZPzMzs1LzQ+o+NpuZmVkmr2Q4Ip6RtAWwOWkK8ysR8WUtbZZKOhW4F2gNXBkR0yWdnB0fC0wkLQAyE1gEHF9T2+zUfwbaAfdLApiUrRy9C3COpKXAMuDkiPggz38HMzOzklKfsdnMzMxWyPfOMMC2pFWe2wBbSyIirq6pQURMJCW8uWVjc94HMDrftln5ptXUvxW4teYumJmZtSh1HpvNzMwsySsZlnQNsAkwlXTXFdKCVh5wzczMisBjs5mZWcPke2d4KNC/YrEqMzMzKzqPzWZmZg2Q72rSLwIbFjIQMzMzqxOPzWZmZg2Q753h9YCXJD0NLKkojIgDChKVmZmZ1cZjs5mZWQPkmwyPKWQQZmZmVmdjih2AmZlZKct3a6WHJW0M9I2IByR1IG15ZGZmZkXgsbkZGzOmPL/bzKzE5PXMsKTvArcA/5cVdQduL1BMZmZmVov6js2ShkuaIWmmpDOqOC5Jl2bHp0kaUltbSRdKeiWrf5ukTjnHzszqz5C0d/17bGZm1rjyXUBrNLAT8DFARLwGrF+ooMzMzKxWdR6bJbUGLgNGAP2BIyX1r1RtBNA3e40Crsij7f3AwIgYBLwKnJm16Q8cAQwAhgOXZ+cxMzMrunyT4SUR8UXFB0ltSHsZmpmZWXHUZ2zeDpgZEbOztuOBkZXqjASujmQS0ElS15raRsR9EbE0az8J6JFzrvERsSQiXgdmZucxMzMrunyT4Ycl/QxoL2lP4GbgX4ULy8zMzGpRn7G5OzAn5/PcrCyfOvm0BfgOcHcdvg9JoyRNljR5/vz5tXTBzMysceSbDJ8BzAdeAE4CJgI/L1RQZmZmVqv6jM2qoqzy3eTq6tTaVtJZwFLgujp8HxExLiKGRsTQLl26VNHEavTZZ/D883DrrXDggfD668WOyMysJOS7mvRy4C/Zy8zMzIqsnmPzXKBnzucewDt51mlbU1tJxwL7AXtEREXCm8/3WV1FwDvvwGuvpdc72T/pGmvAnDmwzTZw3XUwYkRx4zQza+bySoYlvU7VV3L7NHpEZmZmVqt6js3PAH0l9QbeJi1u9a1KdSYAp0oaDwwDFkbEPEnzq2sraThwOvD1iFhU6VzXS/o90I20KNfTde6sweLFMGtWSn5nzoRF2T9zjx6w227Qty9suCEceywcfDDsuy/84hdw9tnQ2muWmZlVJa9kGBia83514JtA58YPx8zMzPJU57E5IpZKOhW4l7Qn8ZURMV3SydnxsaTp1vuQFrtaBBxfU9vs1H8G2gH3SwKYFBEnZ+e+CXiJNH16dEQsa3jXy0AEvPfeiru/c+emsvbtYdNNU/K7ySbQocPK7fr0gSefhFNOgXPOgaeeSneJ1123OP0wM2vG8p0mvaBS0R8kPQac3fghmZmZWW3qOzZHxERSwptbNjbnfZC2bcqrbVa+aQ3fdy5wbk0xWWbJEpg9e0UC/OmnqbxrV9h555QAd+sGrWpZ8qV9e7jySthxRzj1VBgyJD1PPHRoze3MzMpMvtOkh+R8bEW6Gt2xIBGZmZlZrTw2twARMH/+iqnPb70Fy5dDu3bprm/fvuku8Jpr1v3cEnz3u7D11nDIIbDTTvCnP6UyVbWumZlZ+cl3mvTFOe+XAm8Ah9XWKHuG6I+k6VR/jYjzKx1Xdnwf0lSs4yLi2ZraSroQ2B/4ApgFHB8RH2XHzgROAJYBP4iIe/PsX9lbsgQ+/BAWLIAPPlj5Vbms4vP668Mtt8DGGxc7ejOzslSvsdmK7Isv0mrPFQnwwoWpfIMNYIcdUgLco0fjPec7dCg8+ywcdRScdFKaQn355enusZlZmct3mvRudT2xpNbAZcCepNUkn5E0ISJeyqk2grSYRl/SIh1XAMNqaXs/cGb27NLvgDOB0yX1Jy3mMYC0SMcDkjYrt2eTliypOYGtruyzz6o/Z5s20LnzilfPnjBoEEyYkNbsePjhVGZmZk2nPmOzFcmCBSuS3zfegGXLYLXV0t3fiunPa61VuO9fd1246670DPE558Bzz6Vp05tsUrjvNDMrAflOkz6tpuMR8fsqircDZkbE7Owc44GRpEU0KowErs6eT5okqZOkrkCv6tpGxH057ScBh+aca3xELAFelzQzi+HJfPpYij74AO69F267bUVSu2hR9fXbtEnjYUVSu9FGafZUbqLbufPKdTp3ho4dq55RNXkyfOMbKxLi7t0L11czM1tZPcdmawpLl6aktyIB/uCDVL7eerDttin53WijNDA3ldat4Ve/gmHD4Oij0/ZL11wD++/fdDGYmTUzdVlNelvSFgmQpik/AsypoU33Ssfnku7+1lane55tAb4D3JhzrklVnGslkkYBowA22mijGsJv3j75BK69Nu20sPHGaXzt0SMtKtm+fdWvtm2rf0zoyy/TopXvvZd/DGPGpGR8zz1XJMRduzZK98zMrHb1GZut0GbNgptuStOh27SB3r1TAtq3L6yzTrGjg332gSlT4NBD4YAD4KyzUpLs7ZfMrAzlmwyvBwyJiE8AJI0Bbo6IE2toU1XaVXk/xOrq1NpW0lmkZ6Suq8P3ERHjgHEAQ4cOXeV4Kfj887RLwqefwjHHpCS4WIYNg3vugb33ht13hwcfTNscmplZwdVnbLZCeucduPHGNK1qjz2gV680Hbq56d0bHn88rTR97rlp+6Xrr4cuXYodmZlZk6plbf6vbERasKrCF6SpzDWZC+Q+SdoDeCfPOjW2lXQssB9wVDbFOt/vK3lffgk33JAWnzz88OImwhV23BHuvhvmzElj//vvFzsiM7OyUJ+x2QplwYJ0pXqNNdJiVX37Ns9EuMLqq8Nf/5pejz6apk0/9VSxozIza1L5JsPXAE9LGiPpl8BTwNW1tHkG6Cupt6S2pMWtJlSqMwE4Rsn2wMKImFdT22yV6dOBAyJiUaVzHSGpnaTepEW5ns6zfyVh+fK0evNbb8FBBzWvdS++9rW0Nsfrr6eEeP78YkdkZtbi1WdstkL49NP07BKk53E7ltAOVyecAE88kaZJ77xzWmk6SnLinJlZneWVDEfEucDxwIfAR6TtjM6rpc1S4FTgXuBl4KaImC7pZEknZ9UmArOBmcBfgFNqapu1+TNpH8X7JU2VNDZrMx24ibRA1z3A6Ja0knREWr351VfT4z4DBxY7olV9/etw551prZBvfCNdJDczs8Koz9hsBbBkSboj/Nln8K1vpVUoS82QIek54j33hNGj0zNYNa3IaWbWQtRlGcMOwMcRcZWkLpJ6R8TrNTWIiImkhDe3bGzO+wBG59s2K9+0hu87Fzi3xl6UoAi4/354/vmUcG67bbEjqt7uu6ekff/9U0L873+nR6fMzKwg6jw2WyNaujQ9I/z++3DkkaW9rULnzvCvf6VniH/5y/RHx623puneZmYtVF53hrPpV6eT9vQFWA24tlBB2coefxyefDIlwV//erGjqd2ee8Idd8BLL8Fee8FHHxU7IjOzlsdjc5FFwO23p+eDDjgANq32Wn3paNUKfvGLtBDI22/D0KFpQDcza6HyfWb4IOAA4DOAiHiHNFXZCuzZZ9Pd1YEDYcSI6rdGam723jvtfzxtWnq/cGGxIzIza3E8NhdLRNpKYfr0NA1qq62KHVHj2nvv9AfIZpvBgQfCGWeku+BmZi1MvsnwF9mU5gCQtEbhQrIKL7+cnsHdZJM0FpVKIlxhn33SDKvnnoPhw+Hjj4sdkZlZi+KxuVgefxyefhq23z5tqdASbbwxPPYYnHQS/O53aarXe+8VOyozs0aVbzJ8k6T/AzpJ+i7wAGnBKyuQ119PiWT37nDYYWmRx1K0//7pcarJk1Ny/OmnxY7IzKzF8NhcDFOnpilbW26ZEsRSu1JdF+3awdixcNVV6XmtIUPSTzOzFqLWZFiSgBuBW4Bbgc2BsyPiTwWOrWzNmwfjx6e1LL71LWjbttgRNcxBB6W9kSdNgn33TQtumplZ/XlsLpJXX02rRPbpAyNHtuxEONdxx6UkePXVYZdd4E9/8vZLZtYi1LqadESEpNsjYhvg/iaIqawtWJC2KmzfPm1V2L59sSNqHIcemnae+Na30t3iO++EDh2KHZWZWWny2FwEc+fCzTfDhhuW9pSt+ho8OG2/dMwx8IMfpOT4L3+BNTw738xKV77TpCdJasYb+rQMH38M11yT3n/727DWWsWNp7Edfnjq38MPp4U3Fy8udkRmZiXNY3NT+e9/4frroWNHOOqoNH24HHXqlFbQPvfc9AzUsGEwY0axozIzq7d8k+HdSIPuLEnTJL0gaVohAys3ixenO8KLF6dxdt11ix1RYXzrW+nRo//8Jy0K9vnnxY7IzKxkeWxuCh9/nAboVq3SlK1yvxPaqhX87Gdw771pQa1tt02LnJiZlaAak2FJG2VvRwB9gN2B/YH9sp/WCL74Il1w/uADOOII6Nat2BEV1jHHwN/+BvfdBwcfDEuWFDsiM7PS0dCxWdJwSTMkzZR0RhXHJenS7Pg0SUNqayvpm5KmS1ouaWhOeS9JiyVNzV5j69/zIvj88/SMT8WV6s6dix1R8/GNb6Ttl/r1S89C/eQn3n7JzEpObXeGbweIiDeB30fEm7mvgkdXBpYtS48gvf12Sgx79y52RE3j+ONh3Di4++40hn7xRbEjMjMrGbdD/cZmSa2By0iJdH/gSEn9K1UbAfTNXqOAK/Jo+yJwMPBIFV87KyIGZ6+T69zbYlm6NK1m+d//pud8unYtdkTNT8+e8MgjcMopcNFFacXMZcuKHZWZWd5qS4Zzl0nsU8hAylEE3HEHzJyZVlnuX/nPkRbuu9+FK65Ii2kddhh8+WWxIzIzKwkNGZu3A2ZGxOyI+AIYD4ysVGckcHUkk0hbN3WtqW1EvBwRLefh0eXL4Z//hDffTAleH/8JVK127eCyy+DSS9OAfvrpxY7IzCxvtSXDUc17a6AIuOceeOEF2H132GabYkdUHCefDH/+c7oocOSRTojNzPLQkLG5OzAn5/PcrCyfOvm0rUpvSc9JeljSzlVVkDRK0mRJk+fPn5/HKQsoAiZOhJdfhr33hoEDixtPqfj+9+HUU+Hii+Hvfy92NGZmealta6WtJH1MugrdPntP9jkiooWtd9x0Hn0Unn46LcT4ta8VO5riGj06zUb74Q/T2iTXXQdtat30y8ysbDVkbK5qY9zKCXV1dfJpW9k8YKOIWCBpG+B2SQMi4uPcShExDhgHMHTo0OJefH/kkbSF0E47wfbbFzWUknPJJekiwkknwWabwY47FjsiM7Ma1ZhyRESZbaLXNCZPhgcfhEGD0kVnVfXnRZn5n/9Jjxn96Edp68Zrrim/LRzNzPLRwLF5LtAz53MP4J0867TNo+1KImIJsCR7P0XSLGAzYHJ9gi+4KVPgoYdgq61gjz2KHU3padMGbropXek/6CB45hnYaKPa25mZFUm+WytZI5k+He66C/r2TXvtOhFe4bTT4He/gxtugOOO8xocZmYF8AzQV1JvSW2BI4AJlepMAI7JVpXeHlgYEfPybLsSSV2yhbeQ1Ie0KNfsxu1SI3nllRUD9P77e4Cur86dYcKEtBL3yJHw2WfFjsjMrFpOhpvQ7NlpPY6ePeGb3/Sdz6r89Kdw7rlpS8cTTkhrmJiZWeOIiKXAqcC9wMvATRExXdLJkipWep5ISlhnAn8BTqmpLYCkgyTNBXYA7pJ0b3auXYBpkp4HbgFOjogPmqCrdfPWW2mv3G7d0hYHHqAbpl+/tBL3tGlw7LEezM2s2Srok5mShgN/BFoDf42I8ysdV3Z8H2ARcFxEPFtTW0nfBMYA/YDtImJyVt6LNDhXrGY5qTlt4fD222lcWG+9tFDUaqsVO6Lm62c/S88Q//KXacbVuHHQypdtzMwaRURMJCW8uWVjc94HMDrftln5bcBtVZTfCtzawJAL6/3305SktdeGb30L2rYtdkQtw4gRcMEF8OMfwznnwJgxxY7IzGwVBUuGc/Yj3JP0/NEzkiZExEs51XL3MhxG2stwWC1tK/Yy/L8qvnZWRAwuUJfq7b//TYtCrbFGWiCqfftiR9T8nX12Soh//et0gf6KK5wQm5lZI1u4ME1FatMmDdAdOhQ7opbltNPgxRfhV7+CAQPStDgzs2akkHeGv9qPEEBSxX6EucnwV3sZApMkVexl2Ku6thHxclZWwNAbz8KFaTGoVq3g29+Gjh2LHVHp+NWvUkL829+mv1P+/Gc/wmVmZo1k8eKUCH/xBRx/PHTqVOyIWh4Jxo6FGTPSdOlNN4Wtty52VGZmXynkvbay38tw0aI0zi5Zki44d+5c0K9rcaT0/PBPfgKXX562Xgrvdm1mZg315Zdw/fXw4YdwxBGwwQbFjqjlatcuLZiy3npp5dB33y12RGZmXylkMlysvQy3Bk4Drpe0yl6LETEuIoZGxNAuXbrUcsr6++KLlcfZDTcs2Fe1aFJaYfp//xcuvTRtveSE2MzM6m35crjlFpg7Fw4+GHr1KnZELd+GG8Idd8AHH6R/8yVLih2RmRlQ2GS4IXsZ5tN2JRGxJCIWZO+nABV7GTa5pUvhxhvhnXfSopQeZxtGgosvhh/8AC65BE4/3QmxmZnVQwT861/w6quwzz7Qv3+xIyofW28N//gHPPkkjBrlgdzMmoVCJsNluZfh8uVw++1pG6X994cttmjqCFomCf7wBzjlFLjwwrTStJmZWZ08+CBMnQq77ALbblvsaMrPoYemAfzqq9NVbjOzIivYAloRsVRSxX6ErYErK/YyzI6PJW3PsA9pL8NFwPE1tYW0lyHwJ6ALaS/DqRGxN2kvw3MkLQWWUYS9DCPg7rth+nT4xje8RkRjk+BPf4LPP0+rTG++ORx1VLGjMjOzkvD00/DoozBkCOy6a7GjKV9nn53+UPrpT9Od+X32KXZEZlbGCrrPcLntZfjQQzB5Muy4I+y0UzEjablatUrbLM2aBSecAJtt5ov7ZmZWi+nT09XqzTeHfff11gTF1KoV/P3vMHMmHHkkTJoE/foVOyozK1PeubWRPPUUPPIIDB6c7gpb4bRtCzffDF27woEHpmezzczMqvT663DbbdCzJxxyiDetbw7WWCMtqLX66umZsgULih2RmZUpjwiN4IYb4J570gXn/ff3Beem0KVLGkcXLoSDDkrbRZqZma3k3XfTipadO6e7kKutVuyIrMJGG6WLFHPmwGGHpe2uzMyamJPhBnr//TRdd+ONfcG5qQ0alPZxfvppL0xpZmaVvP46XHdd2uf26KOhfftiR2SV7bgj/N//wX/+k/ZQNDNrYk7dGmj99eGuu9Jewr7g3PQOPDAtpnXttXDRRcWOxszMmoUFC2DvvdNeh0cfDWutVeyIrDrHHQc/+hFcdllKjM3MmlBBF9AqF7vtBg8/XOwoytdZZ8ELL6T9h/v3T2ujmJlZGevYMW2fFJGeq7Hm7Xe/g5deglNPTc+cebVvM2sivjNsJU+Cq65Ki5cdeSS8/HKxIzIzs6Jq2xb++te0aJY1f61bpwVYNt00PXM2e3axIzKzMuFk2FqEDh3Sglrt28MBB8AHTbrDtJmZmTXI2mvDhAnpbv4BB8DHHxc7IjMrA54mbfU2Zkzz+u6ePdPClLvtBocfnraUbOP/hZuZmZWGvn3T3ol7752e9b7ttnTX2MysQHxn2FqUHXeEsWPhgQfSehxmZmZWQvbYA/7wB/jXv+DnPy92NGbWwvm+mbU4xx+fFtS65BLYcks48cRiR2RmZmZ5Gz06DeTnnw8DBqS7xGZmBeA7w9YiXXBBmmV1yinw2GPFjsbMzMzyJsGf/gRf/3q6ov3UU8WOyMxaKCfD1iK1aQPjx0Pv3nDwwfDmm8WOyMyseZA0XNIMSTMlnVHFcUm6NDs+TdKQ2tpK+qak6ZKWSxpa6XxnZvVnSNq7sL2zFqNtW7jlFujWDQ46CN5+u9gRmVkL5GTYWqxOndLClF98ASNHwmefFTsiM7PiktQauAwYAfQHjpTUv1K1EUDf7DUKuCKPti8CBwOPVPq+/sARwABgOHB5dh6z2q23XhrIP/kEDjwQFi0qdkRm1sI4GbYWbfPN09aFL7wAxx4Ly5cXOyIzs6LaDpgZEbMj4gtgPDCyUp2RwNWRTAI6SepaU9uIeDkiZlTxfSOB8RGxJCJeB2Zm5zHLz8CBcN11MGUKnHBC2nrJzKyROBm2Fm/EiPQM8a23wq9/XexozMyKqjswJ+fz3Kwsnzr5tK3P9yFplKTJkibPnz+/llNa2TngADjvvPT803nnFTsaM2tBvJq0lYXTTkt3h8eMSReZDzmk2BGZmRWFqiirfKutujr5tK3P9xER44BxAEOHDvWtv1I1Zkzhzh2Rtoj4+c/TgL7FFk333WbWYhX0zrAX6bDmQkr7D2+/PRxzDEydWuyIzMyKYi7QM+dzD+CdPOvk07Y+32dWOwn23z8tqPXPf8J77xU7IjNrAQqWDHuRDmtuVl89jZ/rrJMW1Hr//WJHZGbW5J4B+krqLaktadycUKnOBOCY7IL19sDCiJiXZ9vKJgBHSGonqTdpvH+6MTtkZWS11eCII9KAfsMNXhnTzBqskHeGvUiHNTtdu8Idd6RE+JBD0krTZmblIiKWAqcC9wIvAzdFxHRJJ0s6Oas2EZhNGkf/ApxSU1sASQdJmgvsANwl6d6szXTgJuAl4B5gdEQsa5LOWsvUsWNKiD/7DG66CZb5f05mVn+FTIa9SIc1S9tsA1ddBY89BqNHe2FKMysvETExIjaLiE0i4tysbGxEjM3eR0SMzo5vGRGTa2qbld8WET0iol1EbBARe+ccOzerv3lE3N2UfbUWqlu3tKjWW2/BXXd5IDezeivkAlpepMOarSOOSOtvnHceDBoE3/9+sSMyMzOzvG25ZZrm9dhjsMEGxY7GzEpUIe8Me5EOa9Z+/ev07PD//i888ECxozEzM7M62X132HxzuPdemFDb4+tmZqsq5J3hrxbaAN4mLbTxrUp1JgCnShoPDCNbpEPS/DzaVjYBuF7S74FueJEOq0WrVnDNNbDDDnDYYfDUU9C3b7GjMjMza4By2mJIgoMPhn/8I/286ir49reLHZWZlZCC3Rn2Ih1WCjp2TBeTW7VKd4kXLix2RGZmZpa3tm3Tnom77pp+XnJJsSMysxJSyDvDRMREUsKbWzY2530Ao/Ntm5XfBtxWTZtzgXOrOmZWnT594JZbYM894aij0mrTrb0pl5mZWWlo1y4tpHX00XDaaelZ4vPOS3eOzcxqUMhnhs1Kxq67wqWXprH0Zz8rdjRmZmZWJ+3awfjxcNJJcP758N3vwtKlxY7KzJq5gt4ZNisl3/seTJsGF1yQFqk8+uhiR2RmZmZ5a90arrgC1l8/rZK5YAHccAOsvnqxIzOzZsp3hs1yXHppukt84onwtJdfMzMzKy0SnHMO/PGPcPvtMHy4FwQxs2o5GTbLsdpqcPPN0LUrHHggvOPNuczMzErPD34A110Hjz+ernK/916xIzKzZsjJsFkl662XVpj+5JOUEC9eXOyIzMzMrM6+9S3417/g1Vdhp51g9uxiR2RmzYyTYbMqbLklXHstPPNMWoMjotgRmZmZWZ0NHw7//jd8+GFKiKdNK3ZEZtaMOBk2q8bIkfCb36RZVhdeWOxozMzMrF623x4efTQtsLXLLum9mRlOhs1q9LOfweGHwxlnwJ13FjsaMzMzq5f+/eGJJ2DDDWGvvdL0aTMre06GzWogwZVXwtZbp0ePXnqp2BGZmZlZvWy0UborPHAgHHQQ/OMfxY7IzIrMybBZLTp0SLszdOgABxyQti00MzOzEtSlC/znP7DbbnDccXDRRcWOyMyKyMmwWR569oTbboM5c2C77dLCWmZmZlaCOnZMzz5985vwk5/A6ad7pUyzMuVk2CxPO+wADz4IX36ZFqT8/e89dpqZmZWkdu3ghhvge9+DCy6AE06ApUuLHZWZNTEnw2Z1sOOOMHUq7Lsv/OhHsP/+8N//FjsqMzMzq7PWreGyy+CXv4SrroJDDoHFi4sdlZk1ISfDZnXUuTP885/wpz/B/ffD4MHwyCPFjsrMLD+ShkuaIWmmpDOqOC5Jl2bHp0kaUltbSZ0l3S/pteznOll5L0mLJU3NXmObppdmeZJgzJg0qP/rX2lf4oULix2VmTURJ8Nm9SDBqafCpElpYa3ddoNzzoFly4odmZlZ9SS1Bi4DRgD9gSMl9a9UbQTQN3uNAq7Io+0ZwL8joi/w7+xzhVkRMTh7nVyYnpk10KmnwvXXw5NPwte/Du++W+yIzKwJtCl2AGalbOutYcoUOOWUNMvqwQfhuuugW7diR2ZmVqXtgJkRMRtA0nhgJJC7cdxI4OqICGCSpE6SugK9amg7Etg1a/8P4CHg9EJ3xuwrY8Y0znkOPxxuvDHtS3z00Wk6WFN8r5kVRUHvDHsqlpWDjh3h6qvT40ZPPw1bbQV3313sqMzMqtQdmJPzeW5Wlk+dmtpuEBHzALKf6+fU6y3pOUkPS9q5qqAkjZI0WdLk+fPn17VPZo1nk03gmGPg88/hyit9h9ishSvYneGc6VR7kgbMZyRNiIjcq8+5U7GGkaZiDaulbcVUrPOzJPkMVlx9nhURgwvVJ2s+inkhtqrvltJ2hdtvny4q77NPWmDrvPOgbdumjtDMrFqqoqzyuvjV1cmnbWXzgI0iYoGkbYDbJQ2IiI9XOknEOGAcwNChQ71OvxVXjx5w/PFw7bXw97/DkUfCxhsXOyozK4BC3hn+aipWRHwBVEynyvXVVKyImARUTMWqqe1I0hQssp8HFrAPZnWyxRbpOeLvfQ8uvhh23hlmzy52VGZmX5kL9Mz53AN4J886NbV9Lxu/yX6+DxARSyJiQfZ+CjAL2KxRemJWSF26wHe+k6Z/XXMNvPJKsSMyswIoZDLsqVhWltq3h8svh1tugRkz0nPFN99c7KjMzAB4BugrqbektsARwIRKdSYAx2SPMm0PLMzG25raTgCOzd4fC9wBIKlLNtsLSX1IM8F8idBKw9prpzvEG24IN90Ezz1X7IjMrJEVMhku1lSsrYHTgOslrbXKSSLGRcTQiBjapUuXWk5pVn+HHJL2JO7XDw47DE4+2dsXmllxRcRS4FTgXuBl4KaImC7pZEkVKz1PJCWsM4G/AKfU1DZrcz6wp6TXSI84nZ+V7wJMk/Q8cAtwckR8UOBumjWeDh3SM8R9+sCECfD448WOyMwaUSFXk27IVKy2NbR9T1LXiJhXeSoWsCR7P0VSxVSsyY3THbO669ULHn0Ufv5zuOACeOKJtEhlv37FjszMylVETCQlvLllY3PeBzA637ZZ+QJgjyrKbwVubWDIZsXVtm16bvi22+CBB+Czz2DPPdOCIWZW0gp5Z9hTscyA1VaD3/0urTD97rswdGhaoDK8RIyZmVlpaN0aDj4Ytt027UV8xx2wfHmxozKzBipYMuypWGYrGz48TZseNgxOOCFtX/jxx7U2MzMzs+agVSsYMQK+/nV4/vk01cvPP5mVtEJOk/ZULLNKunWD++9PWy6NGZP2JR4/HrbZptiRmZmZWa0k2HVXWGMNmDgxTZe+/HIYNKjYkZlZPRRymrSZVaF1a/jFL+Chh9IF5R12gD/+0dOmzczMSsa228Khh6YVprfaCnbbDW6/HZYtK3ZkZlYHTobNimTnndMsq+HD4Yc/hAMPhAULih2VmZmZ5WXAAJgzJy0MMmsWHHQQ9O0Lv/89fPRRsaMzszw4GTYronXXTWtw/OEPaYGtwYPhsceKHZWZmZnlpXNn+OlPYfZsuPlm6NEDfvSj9HP0aJgxo9gRmlkNnAybFZkE//M/aXHKdu3So0jnnuuZVmZmZiWjTZs0bfqRR2DKlPT+r3+FLbZIi27dc49XnzZrhpwMmzUT22wDzz4Lhx2W9iXee2+YN6/YUZmZmVmdDBkCf/87vPUW/OpXaSuJESOgf/+02NannxY7QjPLFHQ1abOWaMyYwp6/b1/Yf/80bXrTTdMjSJtuWvjvNTMzs0a0wQZw9tlwxhlw001ptczRo+FnP4MTT0zve/cudpRmZc13hs2aGSldVP7ud9PODdddl7Zj+vLLYkdmZmZmdda2LRx9dNpP8Ykn0sqZf/jDiiveDz3kLSXMisTJsFkztf76KSEeMiSNnV/7Wpp19fbbxY7MzMzM6kxK+ymOHw9vvAGnnw6PPpq2Zdp6a7jySvj882JHaVZWPE3arBlbbbU0Zbp3b7j3Xjj++FTepQv06QObbAIbb5wuOheSp2ibmZlVoSEDZNu2cNJJ8MIL8NRTcMIJ8P3vp0VEtt0WOnYs3HebGeBk2KwkDByYtjN87720leHs2TB5cho7W7eGnj1XJMddu6aLz2ZmZtbMrbZamgK29dbpbvFTT6W7xY8/nhbcGjYsbdNkZgXhZNisREiw4YbptdNO6Rnit95akRz/5z/p1b59SowrkuO11y525GZmZlYjKU0D690bPvwwPV/83HPw4ovQvXtKivv3T1fAzazROBk2K1GrrZaS3U02SZ8//TQlxbNnpwR5+vRUvu66qU6fPtCrV9rL2MzMzJqpddZJ+yvuuis8/3y6W/zPf8J996Xp09tsk1bYNLMGczJs1kKsuSYMGpReETB//oq7xs8+my4yt2qVZltVJMfduqUyMzMza2batYPttksJ8MyZKSl+8EF45BHYckt48820iEj79k3/fJSfV7YWwsmwWQskpdWo118/LVy5dCnMmbMiOX7wwfRaffU0I6siOV5nnWJHbmZmZiuRoG/f9Jo/P13dfv55mDo1HW/XDjp3ToP4Ouuk9xWf11rLC4mY1cDJsFkZaNNmxaNIAJ99Bq+/viI5fvnlVN6584pnjXv1SsmymZmZNRNdusC++8Luu6c7wx9+CB98kH6++y688gosX76ifuvWK5LkikS54menTukPBLMy5v8HmJWhNdZIK1QPHJimVP/3vysS4+efTytVS2lKdZ8+cP/9sN56afzs1CldaPb0ajMzsyJp3x622GLV8uXLYeHClZPkip9vvJFW38y19tpVJ8rrrOMr4pYUc0p8E3x3QZNhScOBPwKtgb9GxPmVjis7vg+wCDguIp6tqa2kzsCNQC/gDeCwiPgwO3YmcAKwDPhBRNxbyP6ZtQRSutDcpQtsvz0sW7bylOqHH06vym3WXjslxhUJcuWfNR1r375p+2j5a+FjnuGx2axFa9VqRXLbp8/KxyLS1LDcBLni/auvpmO52revfvr1smVe2dpahIIlw5JaA5cBewJzgWckTYiIl3KqjQD6Zq9hwBXAsFrangH8OyLOl3RG9vl0Sf2BI4ABQDfgAUmbRcSyQvXRrCVq3TpNke7VC/bYAxYtgvffh88/h8WL08/c12efpTvLuWWVLzxX9R2rr55e7duveJ/7qig/9thUv3XrNMZX9bOxj7VqVdxHrJwUWqF4bDYrY1JabXPNNaFnz1WPL1lS9R3luXPTFhURK+r+/vdpinW7disG7rq8b0i71q1TX6QVA3blV0PKrawU8s7wdsDMiJgNIGk8MBLIHXBHAldHRACTJHWS1JV0Zbm6tiOBXbP2/wAeAk7PysdHxBLgdUkzsxieLGAfzVq8Dh1SYlwXy5atSIwrJ9BVJdSLFqUxt+JY7nh7882N2p28VZUQN+RzXerWdjGh0Ir1t8DFFxfnewHOOw++//3ifX8T8thsZlVr1w423DC9Klu2DD76aEWSvP32acBesmTln5Xff/pp9ceXLGnyLuatpuQ53/aNWa+udRtTMf8o2WAD+N73CvoVhUyGuwNzcj7PJV1hrq1O91rabhAR8wAiYp6k9XPONamKc61E0ihgVPbxU0kz8u1QLdYD/ttI52oOWlp/wH0qFc2iT7nrjzRQs+hPIytIn774orHPmL8f/ID1fvCDRunTxo1wjkLy2FzaWlp/wH0qFSv36e67ixdJ46j5v1FEejXiHwNNoOX97+6UU9bjlFMKOjYXMhmu6vJF5Fknn7b1+T4iYhwwrpZz1ZmkyRExtLHPWywtrT/gPpWKltanltYfcJ9KnMfmEtbS+gPuU6loaX1qaf0B96m+Crke7Fwg94GEHsA7edapqe172XQtsp/v1+H7zMzMypnHZjMzs0whk+FngL6SektqS1pAY0KlOhOAY5RsDyzMplnV1HYCcGz2/ljgjpzyIyS1k9SbtPDH04XqnJmZWQny2GxmZpYp2DTpiFgq6VTgXtIWDFdGxHRJJ2fHxwITSVs3zCRt33B8TW2zU58P3CTpBOAt4JtZm+mSbiIt5LEUGN3Eq1U2+vSuImtp/QH3qVS0tD61tP6A+1SyPDaXvJbWH3CfSkVL61NL6w+4T/WiiNoe9zEzMzMzMzNrWQo5TdrMzMzMzMysWXIybGZmZmZmZmXHyXADSRouaYakmZLOKHY8+ZLUU9KDkl6WNF3S/2TlnSXdL+m17Oc6OW3OzPo5Q9LexYu+epJaS3pO0p3Z51LvTydJt0h6JftvtUML6NP/Zv+be1HSDZJWL7U+SbpS0vuSXswpq3MfJG0j6YXs2KWSqtqGpuCq6c+F2f/upkm6TVKnnGPNuj9ZLKv0KefYjyWFpPVyypp9nyx/HpubF4/NJdEnj80rypvF732PzU3Up4jwq54v0gIis4A+QFvgeaB/sePKM/auwJDsfUfgVaA/cAFwRlZ+BvC77H3/rH/tgN5Zv1sXux9V9Os04HrgzuxzqffnH8CJ2fu2QKdS7hPQHXgdaJ99vgk4rtT6BOwCDAFezCmrcx9Iq+ruQNqL9W5gRDPqz15Am+z970qpP9X1KSvvSVoA6k1gvVLqk195/7f32NwM+lKpXx6bm3Gf8NjcLH/vV9Mfj82N3CffGW6Y7YCZETE7Ir4AxgMjixxTXiJiXkQ8m73/BHiZ9MtwJOmXPNnPA7P3I4HxEbEkIl4nrTK6XZMGXQtJPYB9gb/mFJdyf9Yi/dL4G0BEfBERH1HCfcq0AdpLagN0IO05WlJ9iohHgA8qFdepD0p7sa4VEU9G+s1+dU6bJlVVfyLivohYmn2cRNofFkqgP1DtfyOAS4CfArmrR5ZEnyxvHpubEY/Nzb9PGY/Nzez3vsfmpumTk+GG6Q7Myfk8NysrKZJ6AVsDTwEbRNpPkuzn+lm1UujrH0j/R1qeU1bK/ekDzAeuyqaX/VXSGpRwnyLibeAi0tYr80j7l95HCfcpR1370D17X7m8OfoO6corlHB/JB0AvB0Rz1c6VLJ9siqV0u+NanlsBppnfzw2l0Cfcnhsbub9KfbY7GS4Yaqan15Se1VJWhO4FfhhRHxcU9UqyppNXyXtB7wfEVPybVJFWbPpT6YNaSrJFRGxNfAZaYpPdZp9n7JndUaSprt0A9aQdHRNTaooa1Z9ykN1fSiJvkk6i7Q/7HUVRVVUa/b9kdQBOAs4u6rDVZQ1+z5ZtUr+v5vH5pU0m/5kPDaXQJ/yUNK/9z02V1leL06GG2YuaY57hR6kaSUlQdJqpMH2uoj4Z1b8Xjb9gOzn+1l5c+/rTsABkt4gTYnbXdK1lG5/IMU4NyKeyj7fQhqAS7lP3wBej4j5EfEl8E9gR0q7TxXq2oe5rJjelFvebEg6FtgPOCqbigSl259NSH/oPZ/9nugBPCtpQ0q3T1a1Uvq9sQqPzc26P+CxGUqjTxU8Njfv/hR9bHYy3DDPAH0l9ZbUFjgCmFDkmPKSrbr2N+DliPh9zqEJwLHZ+2OBO3LKj5DUTlJvoC/p4fVmISLOjIgeEdGL9N/hPxFxNCXaH4CIeBeYI2nzrGgP4CVKuE+kKVjbS+qQ/W9wD9IzcaXcpwp16kM2XesTSdtn/xbH5LQpOknDgdOBAyJiUc6hkuxPRLwQEetHRK/s98Rc0kJF71KifbJqeWxuJjw2AyXQJzw2l8zvfY/NBehTFHnlt1J/AfuQVnucBZxV7HjqEPfXSFMKpgFTs9c+wLrAv4HXsp+dc9qclfVzBs14RVVgV1asWFnS/QEGA5Oz/063A+u0gD79CngFeBG4hrRKYEn1CbiB9FzVl6Rf3CfUpw/A0OzfYRbwZ0DNqD8zSc/qVPx+GFsq/amuT5WOv0G2YmWp9MmvOv3399jczF54bG7uffLYvKK8Wfzer6Y/HpsbuU/KTmhmZmZmZmZWNjxN2szMzMzMzMqOk2EzMzMzMzMrO06GzczMzMzMrOw4GTYzMzMzM7Oy42TYzMzMzMzMyo6TYbNmSFJIuibncxtJ8yXdWcy4iklSJ0mnFDsOMzMrTx6bV+Wx2Uqdk2Gz5ukzYKCk9tnnPYG3ixhPc9AJ8IBrZmbF4rF5VZ3w2GwlzMmwWfN1N7Bv9v5I0kblAEhaQ9KVkp6R9JykkVn5AElPS5oqaZqkvlnduyQ9L+lFSYdndc/O2r8oaZwkZeXbZm2flHShpBez8tbZ52ey4ydl5V0lPZJ954uSdq7cEUnnS3opa3dRVtZF0q3Z+Z6RtFNWPibr20OSZkv6QXaa84FNsu+5sAD/3mZmZrXx2Oyx2VqSiPDLL7+a2Qv4FBgE3AKsDkwFdgXuzI6fBxydve8EvAqsAfwJOCorbwu0Bw4B/pJz7rWzn51zyq4B9s/evwjsmL0/H3gxez8K+Hn2vh0wGegN/Ag4KytvDXSs1JfOwAxAFfFmP68Hvpa93wh4OXs/Bngi+471gAXAakCvilj88ssvv/zyq6lfHps9NvvV8l5tMLNmKSKmSepFuvI8sdLhvYADJP04+7w6adB6EjhLUg/gnxHxmqQXgIsk/Y40YD+atdlN0k+BDqRBcbqkR0kD5hNZneuB/XK+c5CkQ7PPawN9gWeAKyWtBtweEVMrxfox8DnwV0l3ARXPVn0D6J9d9AZYS1LH7P1dEbEEWCLpfWCDfP7NzMzMCsljs8dma1mcDJs1bxOAi0hXntfNKRdwSETMqFT/ZUlPkaZw3SvpxIj4j6RtgH2A30q6D7gAuBwYGhFzJI0hDdqiegK+HxH3rnJA2iX7zmskXRgRV1cci4ilkrYD9gCOAE4Fdic9prFDRCyudC6AJTlFy/DvKjMzaz48NntsthbCzwybNW9XAudExAuVyu8Fvp/zLNHW2c8+wOyIuJQ0WA+S1A1YFBHXkgbvIaTBFeC/ktYEDgWIiA+BTyRtnx0/otJ3fi+7yoykzbJnnjYG3o+IvwB/y87/lez8a0fEROCHwODs0H2kwbei3mBq9gnQsZY6ZmZmheaxeQWPzVbSfEXHrBmLiLnAH6s49GvgD8C0bNB9gzRl6nDgaElfAu8C5wDbAhdKWg58CXwvIj6S9BfghaztMznnPgH4i6TPgIeAhVn5X0nPBj2bfed84EDSlfGfZN/5KXBMpVg7AndIqri6/b9Z+Q+AyyRNI/0uegQ4uYZ/iwWSHs8WDbk7In5SXV0zM7NC8di80r+Fx2YraRUPzZuZAelqcUR8mr0/A+gaEf9T5LDMzMzKlsdms8LwnWEzq2xfSWeSfj+8CRxX3HDMzMzKnsdmswLwnWEzMzMzMzMrO15Ay8zMzMzMzMqOk2EzMzMzMzMrO06GzczMzMzMrOw4GTYzMzMzM7Oy42TYzMzMzMzMys7/A0kkv4U7vgVkAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1152x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot histograms of messages sent for the entire year for both plans\n",
"\n",
"fig, axes = plt.subplots(1, 2, figsize=(16, 4))\n",
"axes = axes.reshape(-1)\n",
"num_bins = 12\n",
"\n",
"\n",
"surf_mu = surfers_messages_per_month_no_zeros.transpose().sum().mean() # find mean for surfers\n",
"surf_sigma = surfers_messages_per_month_no_zeros.transpose().sum().std() # find std deviation for surfers\n",
"\n",
"n, bins, patches = axes[0].hist(surfers_messages_per_month_no_zeros.transpose().sum(),\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 1400),\n",
" color='blue',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[0].set_title('Surf Plan, 2018')\n",
"axes[0].set_xlabel('Messages sent')\n",
"axes[0].set_ylabel('Frequency')\n",
"axes[0].annotate(xy=(0.75, 0.9), text='surf $\\mu=$' + str(int(surf_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, surf_mu, surf_sigma) \n",
"axes[0].plot(bins, best_fit_line, color='blue') # plot best fit line\n",
"\n",
"\n",
"ultimate_mu = ultimaters_messages_per_month_no_zeros.transpose().sum().mean() # find mean for ultimaters\n",
"ultimate_sigma = ultimaters_messages_per_month_no_zeros.transpose().sum().std() # find std deviation for ultimaters\n",
"\n",
"n, bins, patches = axes[1].hist(ultimaters_messages_per_month_no_zeros.transpose().sum(),\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 1400),\n",
" color='red',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[1].set_title('Ultimate Plan, 2018')\n",
"axes[1].set_xlabel('Messages sent')\n",
"axes[1].set_ylabel('Frequency')\n",
"axes[1].annotate(xy=(0.75, 0.9), text='ultimate $\\mu=$' + str(int(ultimate_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, ultimate_mu, ultimate_sigma)\n",
"axes[1].plot(bins, best_fit_line, color='red') # plot best fit line\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Conclusion <a name=\"step_3_2_1\"></a>\n",
"The number of messages per month is also normally distributed, but here we can see there is a significant positive skew. This means that the mean is greater than the median for the number of messages sent per month. Means between plans are very similar, just like the previous set comparing number of minutes.\n",
"\n",
"Comparing the distributions for each month with the yearly distribution shows us this same positive skew. The majority of people send less than 500 texts each year, and very few send more than 800 per year.\n",
"\n",
"Those on the Surf plan exceed the 50 monthly message allowance quite frequently. Maybe they need to keep an eye on the number of messages sent. But again, this is good news for Megaline because these overages translate into added revenue. Those on the Ultimate plan rarely exceed the 1000 allotted messages per month, but they also pay a \\\\$70 plan fee per month versus \\\\$20 for the Surf plan."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Histograms of data used per month by plan <a name=\"step_3_3\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x2160 with 12 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot histograms of data used per month for both plans\n",
"\n",
"fig, axes = plt.subplots(6, 2, figsize=(16, 30))\n",
"axes = axes.reshape(-1)\n",
"plt.subplots_adjust(hspace=0.35)\n",
"bins = 12\n",
"\n",
"for month in range(0, 12):\n",
" surf_mu = surfers_gb_per_month_no_zeros_stats.loc['nanmean', month + 1]\n",
" surf_sigma = surfers_gb_per_month_no_zeros_stats.loc['nanstd', month + 1]\n",
" \n",
" ultimate_mu = ultimaters_gb_per_month_no_zeros_stats.loc['nanmean', month + 1]\n",
" ultimate_sigma = ultimaters_gb_per_month_no_zeros_stats.loc['nanstd', month + 1]\n",
" \n",
" surf_n, surf_bins, surf_patches = axes[month].hist(surfers_gb_per_month_no_zeros[month + 1],\n",
" bins=bins,\n",
" range=(0, 50),\n",
" density=True,\n",
" histtype='step',\n",
" color='blue'\n",
" )\n",
" \n",
" ultimate_n, ultimate_bins, ultimate_patches = axes[month].hist(ultimaters_gb_per_month_no_zeros[month + 1],\n",
" bins=bins,\n",
" range=(0, 50),\n",
" density=True,\n",
" histtype='step',\n",
" color='red'\n",
" )\n",
" \n",
" axes[month].set_title(month_list[month])\n",
" axes[month].set_xlabel('Data used (GB)')\n",
" axes[month].set_ylabel('Frequency')\n",
" axes[month].legend(['surf', 'ultimate'])\n",
" axes[month].annotate(xy=(0.75, 0.7), text='surf $\\mu=$' + str(surf_mu.round(2)), xycoords='axes fraction')\n",
" axes[month].annotate(xy=(0.75, 0.625), text='ultimate $\\mu=$' + str(ultimate_mu.round(2)), xycoords='axes fraction')\n",
" \n",
" surf_best_fit_line = st.norm.pdf(surf_bins, surf_mu, surf_sigma) \n",
" axes[month].plot(surf_bins, surf_best_fit_line, color='blue')\n",
" \n",
" ultimate_best_fit_line = st.norm.pdf(ultimate_bins, ultimate_mu, ultimate_sigma)\n",
" axes[month].plot(ultimate_bins, ultimate_best_fit_line, color='red')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot histograms of data used for the entire year for both plans\n",
"\n",
"fig, axes = plt.subplots(1, 2, figsize=(16, 4))\n",
"axes = axes.reshape(-1)\n",
"num_bins = 12\n",
"\n",
"\n",
"surf_mu = surfers_gb_per_month.transpose().sum().mean() # find mean for surfers\n",
"surf_sigma = surfers_gb_per_month.transpose().sum().std() # find std deviation for surfers\n",
"\n",
"n, bins, patches = axes[0].hist(surfers_gb_per_month.transpose().sum(),\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 500),\n",
" color='blue',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[0].set_title('Surf Plan, 2018')\n",
"axes[0].set_xlabel('Data used')\n",
"axes[0].set_ylabel('Frequency')\n",
"axes[0].annotate(xy=(0.75, 0.9), text='surf $\\mu=$' + str(int(surf_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, surf_mu, surf_sigma) \n",
"axes[0].plot(bins, best_fit_line, color='blue') # plot best fit line\n",
"\n",
"\n",
"ultimate_mu = ultimaters_gb_per_month.transpose().sum().mean() # find mean for ultimaters\n",
"ultimate_sigma = ultimaters_gb_per_month.transpose().sum().std() # find std deviation for ultimaters\n",
"\n",
"n, bins, patches = axes[1].hist(ultimaters_gb_per_month.transpose().sum(),\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 500),\n",
" color='red',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[1].set_title('Ultimate Plan, 2018')\n",
"axes[1].set_xlabel('Data used')\n",
"axes[1].set_ylabel('Frequency')\n",
"axes[1].annotate(xy=(0.75, 0.9), text='ultimate $\\mu=$' + str(int(ultimate_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, ultimate_mu, ultimate_sigma)\n",
"axes[1].plot(bins, best_fit_line, color='red') # plot best fit line\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Conclusion <a name=\"step_3_3_1\"></a>\n",
"The amount of monthly data used is normally distributed and symmetrical just like the number of minutes used. Again, we've filtered out months with zero data used to make the plot scaling a little better. We need to keep in mind that the means displayed in all 3 sets of plots are derived from data that still contains these zeros.\n",
"\n",
"As with the previous two sets for yearly data, this one also displays positive skew. Most people use less than 150 GB of data per year, while very few use more than 300 GB. On average, customers use 78 to 79 GB of data for both plans per year.\n",
"\n",
"It appears as if those on the Surf plan often exceed their 15 GB limit. Just like with text messages, this is a good thing for Megaline since each extra gb over the 15 GB monthly limit translates into an additional \\\\$10 of revenue. So yes, those on the Ultimate plan do pay a higher monthly fee of $70, but when we account for overages, maybe those on the Surf plan bring in just as much or more revenue. We'll find out in the next step of the analysis."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 4: Hypothesis testing <a name=\"step_4\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we'll do some hypothesis testing on the data. We'll test the following two hypotheses:\n",
"- The average revenue from users of Ultimate and Surf calling plans differs\n",
"- The average revenue from users in NY-NJ area is different from that of the users from other regions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Average revenue between plans is equal <a name=\"step_4_1\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Mean revenue excluding 0 values, Surf: 48.26\n",
"Mean revenue including 0 values, Surf: 26.42\n",
"Mean revenue excluding 0 values, Ultimate: 71.57\n",
"Mean revenue including 0 values, Ultimate: 39.27\n"
]
}
],
"source": [
"# comparing mean revenues with and without 0 values (months where the user was not a customer)\n",
"\n",
"surf_rev_no_zeros = surfers_rev_per_month[surfers_rev_per_month != 0]\n",
"surf_rev_no_zeros = surf_rev_no_zeros.values[~np.isnan(surf_rev_no_zeros)]\n",
"\n",
"ultimate_rev_no_zeros = ultimaters_rev_per_month[ultimaters_rev_per_month != 0]\n",
"ultimate_rev_no_zeros = ultimate_rev_no_zeros.values[~np.isnan(ultimate_rev_no_zeros)]\n",
"\n",
"print('Mean revenue excluding 0 values, Surf: {:.2f}'.format(surf_rev_no_zeros.mean().mean()))\n",
"print('Mean revenue including 0 values, Surf: {:.2f}'.format(surfers_rev_per_month.mean().mean()))\n",
"print('Mean revenue excluding 0 values, Ultimate: {:.2f}'.format(ultimate_rev_no_zeros.mean().mean()))\n",
"print('Mean revenue including 0 values, Ultimate: {:.2f}'.format(ultimaters_rev_per_month.mean().mean()))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The means for each plan are significantly impacted by zeros, which represent months before and after the registration and churn dates. For our hypothesis test, we should use the set of data that excludes zeros."
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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66adZf/31WXfddQHYYYcdWH311Rt83sZU0KWVzMyssB577DHWXnttHnnkEQA+++wzPvnkk2rLT5s2jZtuuunbu8bPPPMMzzzzDGuuueZyZadPn07v3r0BmDRpEptuuuky+7fffnu++OKL5Y67+OKL2WWXXb79fOKJJ3LRRRctV7Zbt26cfPLJ9OjRg/bt27Pbbrux22675Vlza0r1XSox23cWcFZBAzQza2EuvPBCJk+ezMSJE5fbN336dO6++25GjhzJVlttxe23387zzz/PmDFjOP/883nggQcAuPHGG1l99dVZsGABW221Ffvtt99y5506dSp33nkn//znP2nbti3HHHMMt912G4cccshy16ypzYf82/0Ko0ePZtiwYXX8l2laTobNzFqwTTfdlJNPPplTTz2VPffck+23377GZHjddddlm222qfW8//nPf+jWrRutWqUORJMmTaJ///7LlPnHP/5R63kefvhhunTpwpZbbsmzzz67zL5PPvmEBx98kHfeeYdOnTqx//77c+utt3LwwcvNr2RmZlY2evXq9W0yuskmm7DzzjsjiU033ZSZM2d+W+6KK67g/vvvB+Ddd9/lrbfe4jvf+c4y53r66aeZMGECW221FQALFiygS5cuy5TJp82H/Nr9Cl9//TVjxozhggsuyPuYYnAybGbWgm244YZMmDCBsWPHMmLECHbbbTcOP/xwlixZ8m2Z3EmpVl555bzOO3HixGUawgkTJnDAAQcsUyafO8T//Oc/GTNmDGPHjuWrr77i888/5+CDD+bWW2/lqaeeolevXlTMHvzDH/6Qf/3rX06GzcysRWvTpk217XA+VlhhhW/ft2rV6tvPrVq1YtGiRQA8++yzPPXUU7zwwgustNJK7LjjjlVeJyI49NBDa0xK82nzoW5Phh999FG22GIL1lprrVpqW1xOhs3MWrD333+f1VdfnYMPPpgOHTpw8803M2LECObMmcNHH31Ehw4dePjhhxk8eHCdzvvqq69+26i+9dZbPPjgg5x77rnLlMnnDvEFF1zwbQP87LPPcvHFF3PrrbcC0KNHD8aNG8f8+fNp3749Tz/9NAMHDqxTnGZmZs3NWmutVWs73LFjxyoTy3x99tlnrLbaaqy00kq88cYbjBs3rsrz7rzzzgwdOpSTTjqJLl268PHHH/PFF198O44X8mvzoW5Phu+4445m30UaPIGWmVmL9tprr307KcZ5553HGWecQdu2bTnzzDMZNGgQe+65JxtvvHGdzztx4kSWLFnCZpttxu9//3v69OnDLbfc0qixDxo0iB/96EdsscUWbLrppixZsoThw4c36jXMzMyaWj7t8BprrMF2221Hv379vp3oqi4GDx7MokWL6N+/P7/97W+/HQJV+bx9+/bl3HPPZbfddqN///7suuuuzJ49e5lzNXabP3/+fJ588kl++MMfLrN92LBhbLvttkybNo3u3btzww031PsajUVpzovyNHDgwBg/fnyjnKvSBHHNQnOMycxahg022IBXXnmFjh07FjuUFkXShIjw4+0GaMy22aykNccves0xJqtVqbf5NbXNfjJsZmbL+OKLL2jVqlXJNopmZmaWlHub72TYzMyW0bFjR958881ih2FmZmYFVu5tvpNhMzMzMzMzKztOhs3MzMzMzKzsOBk2MzMzMzOzslPQZFjSYEnTJE2XdFoV+yXpimz/JElb5Oy7UdIcSZMrHXOnpInZa6akidn2npIW5Oy7tpB1MzMzMzMzs5arTaFOLKk1cBWwKzALeFnSmIh4PafYEKB39hoEXJP9BLgZuBIYlXveiDgg5xqXAJ/l7H47IgY0akXMzMzMzMys5BTyyfDWwPSImBERXwOjgaGVygwFRkUyDugkqStARDwHfFzdySUJ+DFwR0GiNzMzMzMzs5JVyGS4G/BuzudZ2ba6lqnO9sAHEfFWzrZekl6R9HdJ21d1kKThksZLGj937tw8L2VmZmZmZmalpJDJsKrYFvUoU51hLPtUeDbQIyI2B34F3C5pleVOHjEyIgZGxMDOnTvneSkzMzMzMzMrJYVMhmcB6+R87g68X48yy5HUBvghcGfFtohYGBEfZe8nAG8DG9YrcjMzMzMzMytphUyGXwZ6S+olqR1wIDCmUpkxwCHZrNLbAJ9FxOw8zr0L8EZEzKrYIKlzNmkXktYjTco1ozEqYmZmZmZmZqWlYMlwRCwCjgMeB6YCd0XEFElHSzo6KzaWlLBOB64Djqk4XtIdwAvARpJmSToi5/QHsvzEWTsAkyS9CtwDHB0R1U7AZWZmZvmp71KJkjbKWfJwoqTPJZ3Y5BUwMzOrQsGWVgKIiLGkhDd327U57wM4tppjh9Vw3sOq2HYvcG99YzUzM7PlNWSpxIiYBgzIOc97wP1NF72ZmVn1CtlN2szMzFq+Bi2VmGNn4O2I+E/hQzYzM6udk2EzMzOrSWMtlVjVECfAyx6amVlxOBk2MzOzmjR4qcRsIs29gburuoCXPTQzs2JwMmxmZmY1aYylEocA/46IDwoSoZmZWT04GTYzM7OaNMZSicOopou0mZlZsRR0NmkzMzNr2SJikaSKpRJbAzdWLJWY7b+WtHLEHqSlEucDP6s4XtJKpJmoj2rq2M3MzGriZNjMzMxq1MClEucDaxQ0QDMzs3pwN2kzMzMzMzMrO06GzczMzMzMrOw4GTYzMzMzM7Oy42TYzMzMzMzMyo6TYTMzMzMzMys7TobNzMzMzMys7DgZNjMzMzMzs7LjZNjMzMzMzMzKjpNhMzMzMzMzKztOhs3MzMzMzKzsOBk2MzMzMzOzslPQZFjSYEnTJE2XdFoV+yXpimz/JElb5Oy7UdIcSZMrHXO2pPckTcxee+TsG5Gda5qk3QtZNzMzMzMzM2u5CpYMS2oNXAUMAfoCwyT1rVRsCNA7ew0HrsnZdzMwuJrTXxYRA7LX2Ox6fYEDgU2y467OYjAzMzMzMzNbRiGfDG8NTI+IGRHxNTAaGFqpzFBgVCTjgE6SugJExHPAx3W43lBgdEQsjIh3gOlZDGZmZmZmZmbLKGQy3A14N+fzrGxbXctU5bisW/WNklary7kkDZc0XtL4uXPn5nEpMzMzMzMzKzWFTIZVxbaoR5nKrgHWBwYAs4FL6nKuiBgZEQMjYmDnzp1ruZSZmZmZmZmVokImw7OAdXI+dwfer0eZZUTEBxGxOCKWANextCt0nc9lZmZmtWvghJidJN0j6Q1JUyVt27TRm5mZVa2QyfDLQG9JvSS1I01uNaZSmTHAIVkjug3wWUTMrumkFWOKM/sCFbNNjwEOlLSCpF6kSbleaoyKmJmZlatGmBDzT8BjEbExsBkwteBBm5mZ5aFNoU4cEYskHQc8DrQGboyIKZKOzvZfC4wF9iBNdjUf+FnF8ZLuAHYE1pQ0CzgrIm4ALpI0gNQFeiZwVHa+KZLuAl4HFgHHRsTiQtXPzMysTHw7ISaApIoJMV/PKfPthJjAuOxpcFfgS2AH4DCAbELNr5swdjMzs2oVLBkGyJY9Gltp27U57wM4tppjh1Wz/ac1XO884Lx6BWtmZmZVqWqCykF5lOlGujk9F7hJ0mbABOCEiPgy92BJw0lPlOnRo0ejBm9mZladQnaTNjMzs5avIRNitgG2AK6JiM1JT4qXG3PsyS3NzKwYnAybmZlZTRoyIeYsYFZEvJhtv4eUHJuZmRWdk2EzMzOrSb0nxIyI/wHvStooK7czy441NjMzK5qCjhk2MzOzlq2hE2ICxwO3ZYn0jEr7zMzMisbJsJmZmdWogRNiTgQGFjI+MzOz+nA3aTMzMzMzMys7TobNzMzMzMys7DgZNjMzMzMzs7LjZNjMzMzMzMzKjpNhMzMzMzMzKztOhs3MzMzMzKzsOBk2MzMzMzOzsuNk2MzMzMzMzMqOk2EzMzMzMzMrO06GzczMzMzMrOw4GTYzMzMzM7Oy42TYzMzMzMzMyk5Bk2FJgyVNkzRd0mlV7JekK7L9kyRtkbPvRklzJE2udMwfJb2Rlb9fUqdse09JCyRNzF7XFrJuZmZmZmZm1nIVLBmW1Bq4ChgC9AWGSepbqdgQoHf2Gg5ck7PvZmBwFad+EugXEf2BN4EROfvejogB2evoRqmImZmZmZmZlZxCPhneGpgeETMi4mtgNDC0UpmhwKhIxgGdJHUFiIjngI8rnzQinoiIRdnHcUD3gtXAzMzMzMzMSlIhk+FuwLs5n2dl2+papiaHA4/mfO4l6RVJf5e0fVUHSBouabyk8XPnzq3DpczMzMzMzKxU5JUMS+pXj3Orim1RjzJVn1z6f8Ai4LZs02ygR0RsDvwKuF3SKsudPGJkRAyMiIGdO3fO51JmZmYloZ7tuZmZWUnK98nwtZJeknRMxYRVeZgFrJPzuTvwfj3KLEfSocCewEEREQARsTAiPsreTwDeBjbMM1YzM7NyUJ/2vKETYs6U9Fo2ueX4RqqHmZlZg+WVDEfE94CDSInreEm3S9q1lsNeBnpL6iWpHXAgMKZSmTHAIVkjug3wWUTMrumkkgYDpwJ7R8T8nO2ds0m7kLQeaVKuGfnUz8zMrBzUpz1vhAkxAb6fTW45sBGqYWZm1ijyHjMcEW8BZ5AS0f8DrsiWOPphNeUXAccBjwNTgbsiYoqkoyVVzPQ8lpSwTgeuA46pOF7SHcALwEaSZkk6Itt1JdAReLLSEko7AJMkvQrcAxwdEctNwGVmZlbO6tqe08AJMc3MzJqrNvkUktQf+BnwA9LSRntFxL8lrU1KWO+r6riIGEtKeHO3XZvzPoBjqzl2WDXbN6hm+73AvbVWxszMrEzVsz2varLLQXmU6UaazyOAJyQF8JeIGFlFXMNJT5Tp0aNHPWpmZmZWd3klw6SnsdcBp0fEgoqNEfG+pDMKEpmZmZk1tvq05w2dEHO77PxdSL263siWT1xaMCXIIwEGDhyY10SaZmZmDZVvMrwHsCAiFgNIagWsGBHzI+KvBYvOzMzMGlN92vMGTYgZERU/50i6n9Tt+jnMzMyKLN8xw08B7XM+r5RtMzMzs5ajPu15vSfElLSypI4AklYGdgMmN0ZFzMzMGirfJ8MrRsS8ig8RMU/SSgWKyczMzAqjzu15RCySVDEhZmvgxooJMbP915LmB9mDNCHmfNK4ZIC1gPslQfrOcXtEPNbIdTIzM6uXfJPhLyVtERH/BpC0JbCglmPMzMysealXe17fCTEjYgawWUODNjMzK4R8k+ETgbslVYwR6gocUJCIzMzMrFBOxO25mZkZkGcyHBEvS9oY2Ig0Y+QbEfFNQSMzMzOzRuX23MzMbKl8nwwDbAX0zI7ZXBIRMaogUZmZmVmhuD03MzMjz2RY0l+B9YGJwOJscwBuPM3MzFoIt+dmZmZL5ftkeCDQN5sgw8zMzFomt+dmZmaZfNcZngx8p5CBmJmZWcG5PTczM8vk+2R4TeB1SS8BCys2RsTeBYnKzMzMCsHtuZmZWSbfZPjsQgZhZmZmTeLsYgdgZmbWXOS7tNLfJa0L9I6IpyStBLQubGhmZmbWmNyem5mZLZXXmGFJPwfuAf6SbeoGPFCgmMzMzKwA3J6bmZktle8EWscC2wGfA0TEW0CXQgVlZmZmBeH23MzMLJNvMrwwIr6u+CCpDWldQjMzM2s53J6bmZll8k2G/y7pdKC9pF2Bu4GHCheWmZmZFYDbczMzs0y+yfBpwFzgNeAoYCxwRm0HSRosaZqk6ZJOq2K/JF2R7Z8kaYucfTdKmiNpcqVjVpf0pKS3sp+r5ewbkZ1rmqTd86ybmZlZuahXe25mVqtJk+DMM4sdhVmd5JUMR8SSiLguIvaPiB9l72vsViWpNXAVMAToCwyT1LdSsSFA7+w1HLgmZ9/NwOAqTn0a8HRE9Aaezj6TnftAYJPsuKuzGMzMzIz6tedmZrX68EMYMwbOOQfGji12NGZ5y3c26Xckzaj8quWwrYHpETEjG580GhhaqcxQYFQk44BOkroCRMRzwMdVnHcocEv2/hZgn5ztoyNiYUS8A0zPYjAzMzPq3Z6bmVUvIiXCbdvCBhvACSfAwoXFjsosL/l2kx4IbJW9tgeuAG6t5ZhuwLs5n2dl2+paprK1ImI2QPazYhbMvM4labik8ZLGz507t5ZLmZmZlZT6tOcNGvaU7W8t6RVJDzdSPcysuXj5ZXj3XRg8GK68EqZPh8suK3ZUZnnJt5v0Rzmv9yLicmCnWg5TVaeqR5l85XWuiBgZEQMjYmDnzp3reSkzM7OWpz7teSMMewI4AZjaCFUws+bk00/hqadg/fWhf3/YfXcYOjR1l541q9jRmdUq327SW+S8Bko6GuhYy2GzgHVyPncH3q9Hmco+qOhKnf2c04BzmZmZlY16tucNGvYkqTvwA+D6xq2NmRVVBDz8MEiw557pJ8Cll8LixXDKKcWNzywPbfIsd0nO+0XATODHtRzzMtBbUi/gPdLkVj+pVGYMcJyk0cAg4LOKLtA1GAMcClyY/XwwZ/vtki4F1ibdnX6plnOZmZmVk/q051UNQxqUR5luwGzgcuA31J50m1lLMmkSvP02DBkCnTot3b7eenDqqfD738PRR8P//V/RQjSrTV7JcER8v64njohFko4DHgdaAzdGxJTsLjQRcS1pSYc9SJNdzQd+VnG8pDuAHYE1Jc0CzoqIG0hJ8F2SjgD+C+yfnW+KpLuA10kN/LERsbiucZuZmZWq+rTnNGDYk6Q9gTkRMUHSjtVeQBpO6l5Njx496hGimTWpefPgscdgnXVgq62W33/qqXDzzXD88fDvf0ObfJ+/mTWtvP7LlPSrmvZHxKXVbB9LSnhzt12b8z6AY6s5dlg12z8Cdq5m33nAeTXFamZmVq7q2Z43ZNjTj4C9Je0BrAisIunWiDi40nVHAiMBBg4c6KWezJq7Rx+Fb76Bvfde2j0610orpUm09tsPrrkmJcVmzVBdZpP+BanLUzfgaNIkGh1xtyczM7OWoj7t+bfDniS1Iw17GlOpzBjgkGxW6W3Ihj1FxIiI6B4RPbPj/lY5ETazFmbqVHj99dT9ec01qy+3776wyy5w5pkwZ0715cyKKN8+C2sCW0TEFwCSzgbujogjCxWYmZmZNbo6t+cNHfZkZiVkwQIYOxa+8x347ndrLivBFVekWaZPPx2u9xx61vzkmwz3AL7O+fw10LPRozEzM7NCqld73pBhTzllngWezTtSM2t+nngCvvwSfvITaN269vJ9+sAJJ6QZpo86qurxxWZFlG8y/FfgJUn3kybN2BcYVbCozMzMrBDcnptZ/cyYARMnwnbbQdeu+R935plw221w3HHwwgvQKt9RmmaFl9d/jdnEVD8DPgE+BX4WEecXMC4zMzNrZG7Pzaxevv4aHnoI1lgDdtyxbseusgr84Q/w0ktphmmzZqQut2ZWAj6PiD8Bs7L1g83MzKxlcXtuZnXzt7/Bp5+m2aPrs0zSwQenMcannZbOY9ZM5JUMSzoLOBUYkW1qC9xaqKDMzMys8bk9N7M6mzULXnwxjfet7zrgrVrBn/8MH34IZ53VuPGZNUC+T4b3BfYGvgSIiPfxkkpmZmYtjdtzM8vfokXw4IOpq/POOzfsXFtskSbRuuoqmDy5ceIza6B8k+Gvs5kiA0DSyoULyczMzArE7bmZ5e8f/0hPc/fcE1ZYoeHnO/dcWHVVOP54iGj4+cwaKN9k+C5JfwE6Sfo58BRwXeHCMjMzswJwe25m+fngA3j++bROcO/ejXPONdZICfGzz8JddzXOOc0aoNYR8JIE3AlsDHwObAScGRFPFjg2MzMzayRuz80sb0uWwJgx0L497L574557+HAYORJOPjk9cV7ZHVSseGpNhiMiJD0QEVsCbjDNzMxaILfnZpa3cePg/ffhRz+ClVZq3HO3bg1XXgnf+x6cfz6cd17jnt+sDvLtJj1O0lYFjcTMzMwKze25mdXs44/hmWdg442hb9/CXGO77dJySxdfDNOnF+YaZnnINxn+PqkBfVvSJEmvSZpUyMDMzMys0bk9N7PqRaTu0a1bwx57gFS4a110EbRrByeeWLhrmNWixm7SknpExH+BIU0Uj5mZmTUyt+dmlpcJE+A//4G99oKOBV51rWvXtObwKafAww+n8cNmTay2J8MPAETEf4BLI+I/ua+CR2dmZmaN4QFwe25mNfj8c3jySejVCzbfvGmu+ctfpu7YJ54IX33VNNc0y1HbBFq5fSPWK2QgVjqWLIFPP4U5c5a+PvgAvvwSDjoIunUrdoRmZmXH7bmZVS8iPZ1dsiQ9FS5k9+hc7drBFVfAbrvBpZfC6ac3zXXNMrUlw1HN+7xIGgz8CWgNXB8RF1bar2z/HsB84LCI+HdNx0q6k7QcBEAn4NOIGCCpJzAVmJbtGxcRR9c1ZqvaggUwd25KanOT3MoJ75w5qdyiRVWf55xz0vJyxx4LbWqdy9zMzBpJg9pzMytxkyfDW2+lpHS11Zr22rvuCvvum2aV/ulPYZ11mvb6VtZqS0c2k/Q56Y5y++w92eeIiFWqO1BSa+AqYFdgFvCypDER8XpOsSFA7+w1CLgGGFTTsRFxQM41LgE+yznf2xExoLZKGyxenCYLrCmpzX198UXV51l5ZejSJb169ICBA9P7tdZaur3i9fnnqTfMiSfCqFFw7bWwlec0NTNrCvVuz82sxH35JTz2WOq6N2hQcWK49FLo0yetPXznncWJwcpSjclwRLRuwLm3BqZHxAwASaOBoUBuMjwUGBURQZrdspOkrkDP2o7Nnir/GNipATGWpIg098H111f/FHfu3NQTprJWraBz56UJ7NZbV53YVrzqsk76WmvB2LFwzz1wwgnp7+0xx6Qbgauu2nj1NzOzZTWwPTezUvb442m87t57py+CxdCzJ5x2Gpx9Nhx9NHz/+8WJw8pOITuqdgPezfk8i/T0t7Yy3fI8dnvgg4h4K2dbL0mvAJ8DZ0TEPyoHJWk4MBygR48eeVempViwIA35eP11uOWWtK1jx6VPa9dfH7bddvmktiLhXX31wv4dlGD//WH33eGMM+Cqq+Dee+Hyy+HHP266ISpmZpa/+g57krQi8BywAuk7xz0RcVaTBm9m1XvzTXjtNdhxx/RFsJh+8xu4+WY4/nh45RVo27a48VhZKGQyXFVaU3mcUnVl8jl2GHBHzufZQI+I+EjSlsADkjaJiM9zD4qIkcBIgIEDB5bUuKmZM+H++2HevHRD7eab01Pe9u2LHdnyVlklzZdwyCHpBuCBB8JNN6XkeP31ix2dmZlVaMiwJ2AhsFNEzJPUFnhe0qMRMa5JK2Fmy/vqq/QEpUsX+N73ih1N+sJ62WVp/PDVV6duhGYFVsi+ELOA3BHw3YH38yxT47GS2gA/BL4dVBARCyPio+z9BOBtYMMG16IFWLwYnn46PQlu0wYOPxx22CGN4W2OiXCugQPhxRfhz3+Gf/0L+vVLE2wtXFjsyMzMLPPtsKeI+BqoGLqU69thT1mi20lS1+zzvKxM2+xVUjeizVqsp55KT1D23htaN5ORFEOHpkm8zjwzTWJjVmCFTIZfBnpL6iWpHXAgMKZSmTHAIUq2AT6LiNl5HLsL8EZEzKrYIKlzdvcaSeuR7k7PKFTlmouPPoIbb4Tnn4cBA+Coo1re0kWtW8Nxx8Ebb6TZ/H/721SXZ58tdmRmZkb1Q5ryKiOptaSJwBzgyYh4sfIFJA2XNF7S+Llz5zZm7GZWlZkzYcIE2Gab5vXFUUpdBxcsgBEjih2NlYGCJcMRsQg4DnictOTRXRExRdLRkiqWPBpLSlinA9cBx9R0bM7pD2TZLtIAOwCTJL0K3AMcHREfF6RyzUBEGk7xl7+kWaH33z/dTGvXrtiR1d/aa8Ndd6VJthYuTF29DzssTfZlZmZF05BhT0TE4mylh+7A1pL6LVcwYmREDIyIgZ07d25ovGZWk2++gYceSksoNceJqjbaKC09ctNNqfugWQEVdKXXiBhLSnhzt12b8z6AY/M9NmffYVVsuxe4twHhthgLFqS/YVOnpsn39tmntGZjHjIkLXd33nnwxz/CmDFw0UWp+3exJjk0MytjDRn29K2I+FTSs8BgYHLjh2lmeXn22fQk5ZBDmu8kVb/9Ldx6a+o6+OKL/gJoBeP/slqYd96Ba66BadNg553T2uSllAhXWGmllAxPnAibbgo//3kaBz3ZX5/MzJpavYc9ZUOYOgFIak82zKkJYzezXO+/Dy+8AFtsAb16FTua6nXsmJ6IjB+fxgOaFYiT4RZi8eI0z8GoUakr9BFHpIn/Sv1GWd++6QbmTTelMcWbbw6nnprWhzczs8JryLAnoCvwjKRJpKT6yYh4uEkrYGbJ4sXw4IPQoQPsumuxo6ndT36SvuyOGAGffFLsaKxEFbSbtDWODz+E++6D2bNTMjh4cMseG1xXUho7vNdeaQm6iy6CO+9MyzD94AfFjs7MrPTVd9hTREwCNi94gGZWu+efhzlz0nqWK65Y7GhqJ6XlRrbcMs0u/ec/FzsiK0El/lyxZYtIE/2NHAmffgo//nGa/b6cEuFca6wBN9wAzz0HK68Me+4J++0Hs2bVfqyZmZlZ2Zo7N32B6tcvTVDVUgwYAEcfndYdnjSp2NFYCXIy3EzNn59mVn74YejePf0d6NOn2FE1D9tvn2bSvuACePTR9O9y2WWwaFGxIzMzMzNrZpYsSbORrrBC6l7Y0pxzTpr5+vjj05Mis0bkZLgZmjEDrr0W3nwzDen46U9hlVWKHVXz0q4dnHYaTJmSJtb61a9gq63gpZeKHZmZmZlZM/LSS6kb3eDBqWtdS7P66nD++enJ9ujRxY7GSoyT4WZk0SJ44gn4619TsnfkkfDd76YhE1a1Xr3S0/N77knDYLbZBo49NnUrNzMzMytrn3wCf/sb9O6dludoqY44Is2AffLJMG9esaOxEuJkuJn48MM0HvaFF9I8AUcdBV27FjuqlkFKY4enToVf/jI9Ve/TJ908dG8aMzMzK0sR6YmBlGYcbclPV1q3hiuvTEtDnXdesaOxEuJkuMgi0hJqf/kLfPYZHHBAmhiqua6B3pytsgpcfjm8/HIaZz1sGOy+O0yfXuzIzMzMzJrYxIlp7N2uu8KqqxY7mobbdls49FC45JI0ltCsETgZLqL589MSQY88Aj16wC9+ARtvXOyoWr4ttoBx49INxBdfTBMnnnMOLFxY7MjMzMzMmsAXX8Djj8O666Yuh6XiwgvTslAnnODuf9YonAwXydtvwzXXpKeWu+0GBx8MHTsWO6rS0bp1Gjs8dSrss09anm6zzeCZZ4odmZmZmVkBRcDYsbB4Mey1V8vuHl3Zd74DZ58Njz0GDz1U7GisBDgZbmKLFqUbdbfemm5sHXlk6vVRSn+nmpO1105jhx97DL75BnbaCQ45JE22ZWZmZlZypk6FN96AHXeENdYodjSN7/jj0+QwJ50EX31V7GishXMy3ITmzoXrr09deAcOhOHD0w0uK7zdd4fJk+GMM1JyvPHGcN11aek9MzMzs5KwYEF6Kty1a3raUoratoU//zmNh7744mJHYy2ck+EmEJEmdRo5Mg3hGDYsTernSbKaVvv2aezwq69C//7pZsT228PMmcWOzMzMzKwRPP54Soj33htalfDX/J13hh/9KK0//J//FDsaa8FK+P+S5uHLL9OTyLFj0xwGv/gFbLhhsaMqb336pLHDt9wCU6akp/R/+1uxozIzMzNrgOnT0x3/7bYrj66Hl1ySfp58cnHjsBbNyXABTZ+eJsl6++3UTfegg6BDh2JHZZDGaB9ySHpi36VLmsTs8ss9MaGZmZm1QAsXpjWF11wTdtih2NE0jR49YMQIuOceePrpYkdjLZST4QJYtChN2HTbbbDSSvDzn8M223iSrOaod++0/NJee6V5GA47LPUuMjMzM2sxnn4aPvssdY9u06bY0TSdU06B9dZLk2p9802xo7EWyMlwI5szJ03M9OKLsNVWKRFea61iR2U16dgR7r0Xfv97GDUq3VB9991iR2VmZmaWh//+N3V123prWGedYkfTtFZcES67LM2gfeWVxY7GWqCCJsOSBkuaJmm6pNOq2C9JV2T7J0naorZjJZ0t6T1JE7PXHjn7RmTlp0navZB1qywCXnopTZL15Zfwk5/AHnt4kqyWolUr+O1v4cEHYdq0NI74ueeKHZWZmZlZDRYtgjFjYNVV06RS5WivvWDw4LT+8P/+V+xorIUpWDIsqTVwFTAE6AsMk9S3UrEhQO/sNRy4Js9jL4uIAdlrbHZMX+BAYBNgMHB1dp6C++ADuOMOePTR1FPj6KNT91trefbeO93U6NQptSlXX+1xxGZmZtZM/f3v8NFHKSFs167Y0RSHBH/6Uxrndtpyz97MalTIJ8NbA9MjYkZEfA2MBoZWKjMUGBXJOKCTpK55HlvZUGB0RCyMiHeA6dl5Cmru3LRMz4wZMGRIWjbJk2S1bBtvnBLi3XeHY49NXd0XLix2VGZmxVPfnl6S1pH0jKSpkqZIOqHpozcrUf/7H/zznzBgAKy/frGjKa4NN4Rf/SotFfLCC8WOxlqQQibD3YDckZezsm35lKnt2OOyxvZGSavV4XpIGi5pvKTxc+fOrUt9qtS5M5xwQlqzduutPUlWqVh11dTr6Iwz4IYbYMcd4f33ix2VmVnTa0hPL2AR8OuI6ANsAxxbxbFmVlfffJPGdq28cloSw9KXtrXXhuOOg8WLix2NtRCFnG6uqrSwcofT6srUdOw1wDnZ53OAS4DD87weETESGAkwcODARukAe/rpaZhCc+OYGqZVKzjnnHTD9dBDYcst4b77YNttix2ZmVmT+ra3FoCkit5ar+eU+banFzBOUidJXSNiNjAbICK+kDSVdKP6dcys/s4/Pz0Z/vGPoX37YkfTPHToABdfnCbuueGG9KTKrBaFfDI8C8id0q47UPnZWnVlqj02Ij6IiMURsQS4jqVdofO5nlmd7bcfjBuXlsn6v/+D668vdkRmZk2qIT29viWpJ7A58GLlCzR2ry2zkvbII/C736Vxen36FDua5uXAA9OyIKefDh9/XOxorAUoZDL8MtBbUi9J7UiTW42pVGYMcEg21mgb4LPsLnK1x2ZjiivsC0zOOdeBklaQ1IvUVeulQlXOyku/fmnVgu9/P40hPuYY+PrrYkdlZtYkGtLTK+2UOgD3AidGxOfLFYwYGREDI2Jg586dGxSsWUl788305HPAANhzz2JH0/xI8Oc/wyefpGVCzGpRsGQ4IhYBxwGPA1OBuyJiiqSjJR2dFRsLzCBNdnUdcExNx2bHXCTpNUmTgO8DJ2XHTAHuInW9egw4NiI8YMAazeqrw9ixcOqpcM01abZpz+BvZmWgIT29kNSWlAjfFhH3FTBOs9L2xRew775p3c777/f6ndXp3z89tbj2Wnj11WJHY81cIccMky17NLbStmtz3gdwbL7HZtt/WsP1zgPOq2+8ZrVp3RouvDDdkD388LQe8f33w1ZbFTsyM7OC+ba3FvAeqbfWTyqVGUOa3HI0MIisp5ckATcAUyPi0qYM2qykLFmSJjCZNg2eeALWXbfYETVvv/89jB6dJtN67jnPcGvVKmQ3abOSdeCB8K9/QZs2sP32aSZ/M7NS1JCeXsB2wE+BnSRNzF57NG0NzErABReku+9//CPstFOxo2n+Vlst/Zs9/zzcfnuxo7FmrKBPhs1K2YABMH48HHAAHHYY/PvfaRJD91oys1JT355eEfE8VY8nNrN8jR2bxr8edBCceGKxo2k5Dj8crrsudZnu3x823bTYEVkz5CfDZg2w5prw+ONw0klwxRVpqT9PhGpmZmaN4q230oRZm20GI0e6u29dtGoF99wDHTvCkCHw7ru1H2Nlx8mwWQO1aQOXXgqjRsELL6RxxK+8UuyozMzMrEX74gvYZ5/0ReP++9Maj1Y366wDjz6a/i2HDIFPPy12RNbMOBk2ayQ//WkamrJkCWy3nYeomJmZWT1FpDFYb7wBd94JPXsWO6KWa9NN4YEH0rJU++wDCxcWOyJrRpwMmzWigQNhwoQ0u/RBB8HJJ8OiRcWOyszMzFqUCy6A++5LE2btvHOxo2n5vv/9NNvp3/+eZuVesqTYEVkz4Qm0rEmdfXaxI1hWIeLp0gWeeiqNI77kkrTE3ejRsMYajX8tMzMzKzGPPgpnnJHGCp90UrGjKR3DhsGsWfCb30D37mnWUyt7fjJsVgBt28KVV8L116fl7bbaCiZNKnZUZmZm1qxNn56S4P7900zInjCrcZ18clp7+JJL4E9/KnY01gw4GTYroCOOSD1yFi6EbbdNkxqamZmZLWfevDSmtVUrT5hVKBJcfjnsu2966u4vZmXPybBZgW2zTVqPeLPNYP/94fTTYfHiYkdlZmZmzUYE/OxnMHVqmjCrV69iR1S6WreG226D734XDj4Y/vGPYkdkReRk2KwJdO0KzzwDP/95mhNjr708u7+ZmZll/vCH9JTyD3+AXXYpdjSlr317ePDBNEv33nvD668XOyIrEifDZk1khRVg5Ei49lp48knYemv/7TUzMyt7jz2Wuo0deCD8+tfFjqZ8rLFG+rdfccW0BvH77xc7IisCJ8NmTeyoo9JT4s8/h0GD0tJ3ZmZmVobefjvNcrzppmnWTU+Y1bR69oSxY+Hjj1NC/PnnxY7ImpiTYbMi+N730jjiPn3SHA5nn+0l78zMzMpK7oRZDzwAK69c7IjK0+abw733pu56P/whfP11sSOyJuRk2KxIundPyy4deij87ncpKfYNSTMzszJQMWHW66/D6NGeMKvYdtstPZl/+um0FEhEsSOyJuJk2KyIVlwRbroJrrgCHnkkdZt+881iR2VmZmYFddFFacKsCy+EXXctdjQG6enEuefCrbemMdxWFpwMmxWZBMcfD089BR9+CFtuCeeck3pPmZmZWYl5/HEYMQIOOABOPrnY0Viu009Pk7tceCFcfXWxo7EmUNBkWNJgSdMkTZd0WhX7JemKbP8kSVvUdqykP0p6Iyt/v6RO2faekhZImpi9ri1k3cwa2447woQJ6QbxmWfCeuulJ8YLFxY7MjMzM2sUb7+dZo3edFO44QZPmNXcSHDllWkNzOOO8yynZaBgybCk1sBVwBCgLzBMUt9KxYYAvbPXcOCaPI59EugXEf2BN4EROed7OyIGZK+jC1Mzs8Lp0QPuuw/GjYN+/eCEE2CjjeCWW2Dx4mJHZ2blqoE3t2+UNEfS5KaN2qyZ+fLLNEGIBPff7wmzmqs2bdI47q23TjN9/+tfxY7ICqiQT4a3BqZHxIyI+BoYDQytVGYoMCqScUAnSV1rOjYinoiIRdnx44DuBayDWVEMGpTmcHjiCVhzTTjsMOjfP92g9JwOZtaUGnJzO3MzMLjwkZo1YxFw+OEwZUpKtNZbr9gRWU1WWgkeeijNdrrXXjBtWrEjsgIpZDLcDXg35/OsbFs+ZfI5FuBw4NGcz70kvSLp75K2ryooScMljZc0fu7cufnVxKwIpNRl+uWX0xwbixenG8rbbpvWKTYzayINublNRDwHfNykEZs1N3/8I9x1F1xwQZq52Jq/zp3hscfSk+LBg+F//yt2RFYAhUyGqxoEUfmZVnVlaj1W0v8DFgG3ZZtmAz0iYnPgV8DtklZZ7iQRIyNiYEQM7Ny5cy1VMCs+CfbbDyZPTrP+v/ce7LQT7L57GmNsZlZgDbm5nRffqLaS9sQTacKsH/8YTjml2NFYXay/Pjz8MMyZA3vu6dlNS1CbAp57FrBOzufuwPt5lmlX07GSDgX2BHaOSJ1GI2IhsDB7P0HS28CGwPjGqIyVprPPLnYEy6supjZt0tJ3Bx2UJjg8/3wYOBD23z/NPr3RRk0appmVj4bc3M5LRIwERgIMHDjQg0GsdMyYkSbM2mQTuPFGT5jVEm21Fdx9N+y9d/rSNWYMtG1b7KiskRTyyfDLQG9JvSS1Aw4ExlQqMwY4JJt4Yxvgs4iYXdOxkgYDpwJ7R8T8ihNJ6pyNa0LSeqRxSzMKWD+zolhxRfjVr1L7euaZMHZsamN//nOYNavY0ZlZCWrIzW2z8lUxYRZ4wqyWbo894C9/Sd2mjzrKE7iUkIIlw9kkV8cBjwNTgbsiYoqkoyVVzPQ8lpSwTgeuA46p6djsmCuBjsCTlZZQ2gGYJOlV4B7g6IjwGCUrWausAr/7XUqKjzsORo2CDTZISxZ+9FGxozOzEtKQm9tm5Skided67TW4447U3dZatiOOgLPOgptuap5dC61eCtlNmogYS0p4c7ddm/M+gGPzPTbbvkE15e8F7m1IvGYtUZcucPnlcNJJ6W/zZZfBddelpPikk6BDh2JHaGYtWUQsklRxg7o1cGPFze1s/7Wk9noP0s3t+cDPKo6XdAewI7CmpFnAWRFxQ9PWwqyJXXwx3HlnmjBr992LHY01lrPOgnffhd//Ps00/fOfFzsia6BCdpM2sya07rrpZuVrr8HOO6cu1OutB1dcAQsXFjs6M2vJImJsRGwYEetHxHnZtmsrbnBns0gfm+3fNCLG5xw7LCK6RkTbiOjuRNhK3pNPwmmnpfGlp55a7GisMUlw7bVpdulf/AIeeaTYEVkDORk2KzF9+8J998G4cdCvH5xwQppca9SotDyTmZmZFcg776QJs/r29YRZpapt2zSh1oABaYbwl18udkTWAE6GzUrUoEHw9NNpRYc114RDD4XNNoMHHvC8D2ZmZo3uyy9hn31gyZLU2HqcUunq0CE9FV5rLfjBD2D69GJHZPXkZNishEmw667ppuXdd8M336SJLbfdFp59ttjRmZmZlYgIOPJIT5hVTtZaK80uvWQJDBkCXiO9RXIybFYGJPjRj2DKFLj+enjvPfj+99OcHhMmFDs6MzOzFu7SS2H0aDjvvDSe1MrDhhvCQw+ltS333DP1DrAWxcmwWRlp0yatDPDmm2miywkTYODANORl2rRiR2dmZtYCPfUU/OY36a7zaacVOxprattum26EjB+fxosvWlTsiKwOnAyblaH27eHXv4a334bf/hbGjoVNNkkrBMyaVezozMzMWoh33oEDDoA+fdKSDp4wqzwNHQpXXgkPPwzHHuvJWVoQJ8NmZWzVVdNSeTNmpL/do0bBBhukNYo/+qjY0ZmZmTVj8+fDD3/oCbMs+cUvYMQIGDkydZe3FqFNsQMws2WdfXZxrrvaaunv+LPPpqFPV16Zev5suy2cf35xYjIzM2uWIlJ3qldfTbMKb7BBsSOy5uC881IXu9/+Frp3h8MOK3ZEVgsnw2b2rU6d0qoQ3/0uPPNMSoxffhlWWSVNuDVgAKywQnFjNDMzK7rLLoPbb0/Jz5AhxY7GmgspzVQ6e3a6WdK1a5qt1JotJ8NmtpwuXdIQqFmz0lrFI0ak7e3apYR4m23SOsaDBsF663mIlJmZlZGnn4ZTTkldpCsaSLMK7drBvffC//0f7LcfPPccbLFFsaOyanjMsJlVq3t3OPRQePdduOceOOEEWHHFdNPzoINSr7AuXdJqAuecA088AZ9+WuyozczMCmTmzHS3eOON4eabfTfYqrbKKqn7/BprwB57pInWrFnyk2Ezq1X37um1337p86JFMHkyvPji0tfYsUsnT9x446VPjgcNgk03hbZtixe/mZlZg82fD/vumxrBBx6Ajh2LHZE1Z2uvDY89Btttl7rS//OfKTm2ZsXJsJnVWZs2qbv0gAFw1FFp22efpfHFFcnxo4/CLbekfe3bw5ZbLpsgr7OOb6ibmVkLEQHDh6cJsx5+GHr3LnZE1hL06QNjxsAuu8Bee6Uu9u3bFzsqy+Fk2MxqVdcZrrfYAjbfPCXIs2al18yZ8MILsHhxKtOhQ3ra3K1beq29dt0m5yrWrNtmZlaGLr8cbrsNzj03dXs1y9f3vpf+29l//zTG7O67oXXrYkdlGSfDZlYQUpqdulMn6NcvbVu8GP73P3jvvfSaNQveeGNp+c6dU2Jc0S17zTWhlWc2MDOzpvL11/Df/6Yxnu+8k+7kzpiRJs7Yd19PmGX1s99+6YbKCSfAiSfCFVe4e1wz4WTYzJpM69ZLnwRXmD9/aXL83nswdSq88kra165demJckSB36+YhWmZm1gCLF6c7sRWJbm7S+847qSGqmAAD0rigHj1SMnP99b5Da/X3y1+mGUkvvhhefx3WXz99yan86tzZT46bkJNhMyuqlVZKQ68qhl9FwMcfp+8qFQnyCy/AkiVp/6qrpqT42WfTzNYrrpi6V6+wwvLv2/gvnLuTm1l5WbIEPvhgaZJbOel99900AVYFKd1t7dULdtop/ezVC3r2TD+7dXNiYo3nD39I/z09+SQ89FD6bzX35guk/d/5TtWJcu5rjTX8dLkRFPSroqTBwJ+A1sD1EXFhpf3K9u8BzAcOi4h/13SspNWBO4GewEzgxxHxSbZvBHAEsBj4ZUQ8Xsj6mVnjk9Lf9zXWgM02S9sWLUrr1+cmyK+/Xvu5WrdePlHOTZirSqArv2/Xzm2NWSHac7N6iYCPPqr+ye7MmbBw4bLHfOc7KbndZhsYNmxpoturV5rNsV27Jq+GlalWreDCC9ML0hecDz6A99+v+vXOO2kW6g8/XP5c7dpB1661J82rruovMjUoWDIsqTVwFbArMAt4WdKYiMj9CjsE6J29BgHXAINqOfY04OmIuFDSadnnUyX1BQ4ENgHWBp6StGFELC5UHc2sabRpk76vrLPO0m1LlqTvO199lX5W9/6rr9IQsIrPH3+8tMzChcvfkK1MSu1NPsl027apfKtW6Weh3tflmOb4ZLg5xmTVK2B7bqUqYukf19yf1b2vvG3hwuXH7ea+nzdv2eutvnpKbDfdNM3Ym/t0d911UxckK1/NsdGpiKlNm+XHj1Vl4cI06Up1SfPUqWmm6k8/Xf7Y9u1rT5i7doU//nHpMZWT52Il003wuyvkk+GtgekRMQNA0mhgKJDbAA4FRkVEAOMkdZLUlfTUt7pjhwI7ZsffAjwLnJptHx0RC4F3JE3PYnihgHU0syJp1Sr9fW/ICgURKVGuKoGuKsGu+DxvXnowUbFvcQnccquunSvE9vPPzz+upnLJJXD88cWOotkqVHteWJ5gID/1SVar218oHTqk5Ha99WDnnZd9stuzJ6yySuGubXXTHBPP5qgx/p1WWGHp/wcVvvkGvvhi+de8eekG05Qp6fM33zT8+hWqavjru63y57XWgl/8ov6x5aGQyXA34N2cz7NId4trK9OtlmPXiojZABExW1KXnHONq+Jcy5A0HBiefZwnaVq+FarFmkAVfRhKWjnWGcqz3uVYZyijeud8j12mzoX8ftuc/PKXrPnLXzbK73rdRjhHc1Oo9vxbbpsbVenVed48eO219Kpe6dW7duVYZyjPejffOlf1RaGxvjwcc8yaHHNMQdvmQibDVT0fqPwvU12ZfI6tz/WIiJHAyFrOVWeSxkfEwMY+b3NWjnWG8qx3OdYZyrPe5VhnKN9656ng7bnb5sZTjnWG8qx3OdYZyrPe5VhnaJp6FzIZngXkjPCjO/B+nmXa1XDsB5K6Zk+FuwJz6nA9MzMzq5tCtedmZmZFVcjF0l4GekvqJakdaXKrMZXKjAEOUbIN8FnWBbqmY8cAh2bvDwUezNl+oKQVJPUiTeLxUqEqZ2ZmViYK1Z6bmZkVVcGeDEfEIknHAY+TllO4MSKmSDo6238tMJa0DMN00lIMP6vp2OzUFwJ3SToC+C+wf3bMFEl3kSblWAQc28QzSTd6964WoBzrDOVZ73KsM5RnvcuxzlC+9a5VAdvzplCOv9dyrDOUZ73Lsc5QnvUuxzpDE9RbUS6zo5iZmZmZmZllCtlN2szMzMzMzKxZcjJsZmZmZmZmZcfJcANJGixpmqTpkk4rdjyFJGmmpNckTZQ0Ptu2uqQnJb2V/Vyt2HE2hKQbJc2RNDlnW7V1lDQi+91Pk7R7caJuuGrqfbak97Lf90RJe+Tsa/H1lrSOpGckTZU0RdIJ2faS/X3XUOdS/12vKOklSa9m9f5dtr1kf9flrlza5vr8HSsVklpLekXSw9nncqhzJ0n3SHoj+51vW+r1lnRS9t/2ZEl3ZH/PS67O5fj9s5o6/zH773uSpPsldcrZV5A6OxluAEmtgauAIUBfYJikvsWNquC+HxEDctb8Og14OiJ6A09nn1uym4HBlbZVWcfsd30gsEl2zNXZfxMt0c0sX2+Ay7Lf94CIGAslVe9FwK8jog+wDXBsVrdS/n1XV2co7d/1QmCniNgMGAAMVprxuJR/12WrzNrmOv0dKzEnAFNzPpdDnf8EPBYRGwObkepfsvWW1A34JTAwIvqRJuE7kNKs882U3/fPm1m+zk8C/SKiP/AmMAIKW2cnww2zNTA9ImZExNfAaGBokWNqakOBW7L3twD7FC+UhouI54CPK22uro5DgdERsTAi3iHNorp1U8TZ2Kqpd3VKot4RMTsi/p29/4L0paIbJfz7rqHO1WnxdQaIZF72sW32Ckr4d13myqZtrsffsZIgqTvwA+D6nM2lXudVgB2AGwAi4uuI+JQSrzdp5Zv2ktoAK5HWKS+5Opfj98+q6hwRT0TEouzjONLa9FDAOjsZbphuwLs5n2dR8xfLli6AJyRNkDQ827ZWtpYk2c8uRYuucKqrYzn8/o/LuqrcmNM9p+TqLaknsDnwImXy+65UZyjx33XWpXIiMAd4MiLK5nddhsry95fn37FScTnwG2BJzrZSr/N6wFzgpqx7+PWSVqaE6x0R7wEXk5ZSnU1av/wJSrjOlZR7G3U48Gj2vmB1djLcMKpiWymvVbVdRGxB6np2rKQdih1QkZX67/8aYH1St9LZwCXZ9pKqt6QOwL3AiRHxeU1Fq9jWIutdRZ1L/ncdEYsjYgDpLvPWkvrVULxk6l2myu73V4e/Yy2epD2BORExodixNLE2wBbANRGxOfAlpdE9uFrZjdmhQC9gbWBlSQcXN6pmoeT/xkn6f6RhILdVbKqiWKPU2clww8wC1sn53J3UfaMkRcT72c85wP2k7gkfSOoKkP2cU7wIC6a6Opb07z8iPsgSiCXAdSztjlIy9ZbUlvQF8raIuC/bXNK/76rqXA6/6wpZt8JnSWOOSvp3XcbK6vdXx79jpWA7YG9JM0ld4HeSdCulXWdI/13Pynq1ANxDSo5Lud67AO9ExNyI+Aa4D/gupV3nXGXZRkk6FNgTOCgiKhLegtXZyXDDvAz0ltRLUjvSwO4xRY6pICStLKljxXtgN2Ayqb6HZsUOBR4sToQFVV0dxwAHSlpBUi+gN/BSEeIriIo/wJl9Sb9vKJF6SxJp7NXUiLg0Z1fJ/r6rq3MZ/K47V8xIKak96QvWG5Tw77rMlVPbXNe/Yy1eRIyIiO4R0ZP0u/1bRBxMCdcZICL+B7wraaNs087A65R2vf8LbCNppey/9Z1J4+JLuc65yq6NkjQYOBXYOyLm5+wqXJ0jwq8GvIA9SLOdvQ38v2LHU8B6rge8mr2mVNQVWIM0w91b2c/Vix1rA+t5B6mb6Deku1BH1FRH4P9lv/tpwJBix9/I9f4r8BowKfsj1LWU6g18j9TFZhIwMXvtUcq/7xrqXOq/6/7AK1n9JgNnZttL9ndd7q8yapvr/HeslF7AjsDD2fuSrzNpKMv47Pf9ALBaqdcb+B3p5uXkrK1aoRTrXM33sJJuo6qp83TS2OCKv2fXFrrOyk5uZmZmZmZmVjbcTdrMzMzMzMzKjpNhMzMzMzMzKztOhs3MzMzMzKzsOBk2MzMzMzOzsuNk2MzMzMzMzMqOk2GzIpMUkv6a87mNpLmSHq7n+TpJOibn847VnUvSs5IG1uc6ZmZmpcpts1l5cDJsVnxfAv0ktc8+7wq814DzdQKOqa1QQ0lqXehrmJmZFYnbZrMy4GTYrHl4FPhB9n4YaSFyACStLukBSZMkjZPUP9t+tqQbszvIMyT9MjvkQmB9SRMl/THb1kHSPZLekHSbJOVeXNIRki7L+fxzSZdWDlLSPEm/l/QisK2kgyW9lF3rL5JaS/qFpItyjjlM0p+z98uVzznveZJezeq4Vrb9Zkk/yr1+zvtTJL2c/bv8rs7/4mZmZjVz2+y22Uqck2Gz5mE0cKCkFYH+wIs5+34HvBIR/YHTgVE5+zYGdge2Bs6S1BY4DXg7IgZExClZuc2BE4G+wHrAdlVcf+/seICfATdVEefKwOSIGAR8BBwAbBcRA4DFwEHAPcAPc445ALhTUp9qylecd1xEbAY8B/y86n+mRNJuQO+s3gOALSXtUNMxZmZmdeS22W2zlbg2xQ7AzCAiJknqSbrzPLbS7u8B+2Xl/iZpDUmrZvseiYiFwEJJc4C1qrnESxExC0DSRKAn8HzO9b+U9DdgT0lTgbYR8VoV51kM3Ju93xnYEng5u5ndHpgTEXOzu+HbAG8BGwH/BI6tqnx2rq+BirFTE0jd0WqyW/Z6JfvcgdQAP1fLcWZmZnlx2+y22Uqfk2Gz5mMMcDGwI7BGznZVUTaynwtzti2m+v+n8yl3Penu9htUfecZ4KuIWJwT1y0RMaKKcncCP87OdX9ERNb9q7ry30RERZ1y41tE1oMlO75dzrUviIi/VBOnmZlZY3DbvHx8bputZLibtFnzcSPw+yru+j5H1mVJ0o7AhxHxeQ3n+QLoWNeLR8SLwDrAT8gZF1WDp4EfSeqSxba6pHWzffcB+5Dupt+ZR/nqzCTdsQYYClR0FXscOFxSh+xc3SrOa2Zm1ojcNi9vJm6brUT4ybBZM5F1lfpTFbvOBm6SNAmYDxxay3k+kvRPSZNJk388Uocw7gIGRMQnecT7uqQzgCcktQK+IXW3+k9EfCLpdaBvRLxUW/kaLnMd8KCkl0gN9pfZuZ7Ixjm9kHXrmgcczNKuXWZmZg3mtrlKbputZGhp7wczK3dKax5eFhFPFzsWMzMzc9tsVkjuJm1mSOok6U1ggRtbMzOz4nPbbFZ4fjJsZmZmZmZmZcdPhs3MzMzMzKzsOBk2MzMzMzOzsuNk2MzMzMzMzMqOk2EzMzMzMzMrO06GzczMzMzMrOz8fywabUNihZ/mAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1152x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot histograms of yearly revenue for both plans\n",
"\n",
"fig, axes = plt.subplots(1, 2, figsize=(16, 4))\n",
"axes = axes.reshape(-1)\n",
"num_bins = 10\n",
"\n",
"\n",
"surf_mu = surf_rev_no_zeros.mean() # find mean for surfers\n",
"surf_sigma = surf_rev_no_zeros.std() # find std deviation for surfers\n",
"\n",
"n, bins, patches = axes[0].hist(surf_rev_no_zeros,\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 300),\n",
" color='blue',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[0].set_title('Surf Plan, 2018')\n",
"axes[0].set_xlabel('Monthly revenue')\n",
"axes[0].set_ylabel('Frequency')\n",
"axes[0].annotate(xy=(0.75, 0.9), text='surf $\\mu=$' + str(int(surf_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, surf_mu, surf_sigma) \n",
"axes[0].plot(bins, best_fit_line, color='blue') # plot best fit line\n",
"\n",
"\n",
"ultimate_mu = ultimate_rev_no_zeros.mean() # find mean for ultimaters\n",
"ultimate_sigma = ultimate_rev_no_zeros.std() # find std deviation for ultimaters\n",
"\n",
"n, bins, patches = axes[1].hist(ultimate_rev_no_zeros,\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 120),\n",
" color='red',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[1].set_title('Ultimate Plan, 2018')\n",
"axes[1].set_xlabel('Monthly revenue')\n",
"axes[1].set_ylabel('Frequency')\n",
"axes[1].annotate(xy=(0.75, 0.9), text='ultimate $\\mu=$' + str(int(ultimate_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, ultimate_mu, ultimate_sigma)\n",
"axes[1].plot(bins, best_fit_line, color='red') # plot best fit line\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Surf revenue variance: 2478.61\n",
"Ultimate revenue variance: 89.24\n",
"\n",
"Null hypothesis:\n",
" The average monthly revenue between plans is equal\n",
"\n",
"Alternative hypothesis:\n",
" The average monthly revenue for the Ultimate plan is greater than the average monthly revenue for the Surf plan\n",
"\n",
"p-value: 8.36452316708893e-93\n",
"We reject the null hypothesis\n"
]
}
],
"source": [
"# run p-test\n",
"\n",
"print('Surf revenue variance: {:.2f}'.format(surf_rev_no_zeros.var()))\n",
"print('Ultimate revenue variance: {:.2f}\\n'.format(ultimate_rev_no_zeros.var()))\n",
"\n",
"results = st.ttest_ind(surf_rev_no_zeros, ultimate_rev_no_zeros, equal_var=False)\n",
"\n",
"alpha = 0.05\n",
"\n",
"print('Null hypothesis:\\n The average monthly revenue between plans is equal\\n')\n",
"print('Alternative hypothesis:\\n The average monthly revenue for the Ultimate plan is greater than the average monthly revenue for the Surf plan\\n')\n",
"print('p-value: ', results.pvalue)\n",
"\n",
"if (results.pvalue < alpha):\n",
" print(\"We reject the null hypothesis\")\n",
"else:\n",
" print(\"We can't reject the null hypothesis\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Conclusion <a name=\"step_4_1_1\"></a>\n",
"The p-value is far below our critical statistical significance level of 0.05. Therefore, we reject the null hypothesis that the average monthly revenue between plans are equal. Monthly revenues between plans are significantly different. This means we are in favor of the alternative hypothesis that the Ultimate plan has a higher average monthly revenue. We should focus marketing efforts on selling the Ultimate plan to new and existing customers. Now, let's test whether the average revenue from users in the NY-NJ area differs from that of other areas in the country."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Average revenue between NY-NJ & all other areas is equal <a name=\"step_4_2\"></a>"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"# get user IDs, revenues per month, & remove zeros for both demographics\n",
"\n",
"ny_nj_users = users_data.query('city == \"New York-Newark-Jersey City, NY-NJ-PA MSA\"')['user_id']\n",
"not_ny_nj_users = users_data.query('city != \"New York-Newark-Jersey City, NY-NJ-PA MSA\"')['user_id']\n",
"\n",
"ny_nj_rev_per_month = rev_per_month[rev_per_month.index.isin(ny_nj_users)]\n",
"not_ny_nj_rev_per_month = rev_per_month[rev_per_month.index.isin(not_ny_nj_users)]\n",
"\n",
"ny_nj_rev_no_zeros = ny_nj_rev_per_month[ny_nj_rev_per_month != 0]\n",
"ny_nj_rev_no_zeros = ny_nj_rev_no_zeros.values[~np.isnan(ny_nj_rev_no_zeros)]\n",
"\n",
"not_ny_nj_rev_no_zeros = not_ny_nj_rev_per_month[not_ny_nj_rev_per_month != 0]\n",
"not_ny_nj_rev_no_zeros = not_ny_nj_rev_no_zeros.values[~np.isnan(not_ny_nj_rev_no_zeros)]"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# plot histograms of yearly revenue for both plans\n",
"\n",
"fig, axes = plt.subplots(1, 2, figsize=(16, 4))\n",
"axes = axes.reshape(-1)\n",
"num_bins = 10\n",
"\n",
"\n",
"ny_nj_mu = ny_nj_rev_no_zeros.mean() # find mean for surfers\n",
"ny_nj_sigma = ny_nj_rev_no_zeros.std() # find std deviation for surfers\n",
"\n",
"n, bins, patches = axes[0].hist(ny_nj_rev_no_zeros,\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 300),\n",
" color='orange',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[0].set_title('NY-NJ Area, 2018')\n",
"axes[0].set_xlabel('Monthly revenue')\n",
"axes[0].set_ylabel('Frequency')\n",
"axes[0].annotate(xy=(0.75, 0.9), text='NY-NJ $\\mu=$' + str(int(ny_nj_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, ny_nj_mu, ny_nj_sigma) \n",
"axes[0].plot(bins, best_fit_line, color='orange') # plot best fit line\n",
"\n",
"\n",
"not_ny_nj_mu = not_ny_nj_rev_no_zeros.mean() # find mean for ultimaters\n",
"not_ny_nj_sigma = not_ny_nj_rev_no_zeros.std() # find std deviation for ultimaters\n",
"\n",
"n, bins, patches = axes[1].hist(not_ny_nj_rev_no_zeros,\n",
" bins=num_bins,\n",
" density=True,\n",
" range=(0, 300),\n",
" color='green',\n",
" alpha=0.5\n",
" )\n",
"\n",
"axes[1].set_title('Not NY-NJ Area, 2018')\n",
"axes[1].set_xlabel('Monthly revenue')\n",
"axes[1].set_ylabel('Frequency')\n",
"axes[1].annotate(xy=(0.75, 0.9), text='Not NY-NJ $\\mu=$' + str(int(not_ny_nj_mu)), xycoords='axes fraction')\n",
"best_fit_line = st.norm.pdf(bins, not_ny_nj_mu, not_ny_nj_sigma)\n",
"axes[1].plot(bins, best_fit_line, color='green') # plot best fit line\n",
"\n",
"plt.show()"
]
},
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"text": [
"NY-NJ area revenue variance: 1601.82\n",
"Not NY-NJ area revenue variance: 1868.43\n",
"\n",
"Null hypothesis:\n",
" The average monthly revenue between areas is equal\n",
"\n",
"Alternative hypothesis:\n",
" The average monthly revenue of the NY-NJ area is less than the average monthly revenue of other areas\n",
"\n",
"p-value: 0.03240913803409851\n",
"We reject the null hypothesis\n"
]
}
],
"source": [
"# run p-test\n",
"\n",
"print('NY-NJ area revenue variance: {:.2f}'.format(ny_nj_rev_no_zeros.var()))\n",
"print('Not NY-NJ area revenue variance: {:.2f}\\n'.format(not_ny_nj_rev_no_zeros.var()))\n",
"\n",
"results = st.ttest_ind(ny_nj_rev_no_zeros, not_ny_nj_rev_no_zeros)\n",
"\n",
"alpha = 0.05\n",
"\n",
"print('Null hypothesis:\\n The average monthly revenue between areas is equal\\n')\n",
"print('Alternative hypothesis:\\n The average monthly revenue of the NY-NJ area is less than the average monthly revenue of other areas\\n')\n",
"print('p-value: ', results.pvalue)\n",
"\n",
"if (results.pvalue < alpha):\n",
" print(\"We reject the null hypothesis\")\n",
"else:\n",
" print(\"We can't reject the null hypothesis\")"
]
},
{
"cell_type": "markdown",
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"source": [
"##### Conclusion <a name=\"step_4_2_1\"></a>\n",
"The p-value for this test is much closer to our critical statistical significance value of 0.05, but still falls below it. This means that the difference between mean revenues for people in the NY-NJ area and all other areas is statistically significant. We can reject the null hypothesis in favor of the alternative hypothesis and focus marketing efforts to areas outside of the NY-NJ area."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 5: Overall conclusion <a name=\"step_5\"></a>"
]
},
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"metadata": {},
"source": [
"#### Project overview <a name=\"step_5_1\"></a>\n",
"Our initial goal here was to determine whether or not average revenue between the Surf and Ultimate plans differed significantly enough to warrant greater allocation of marketing resources towards one or the other.\n",
"\n",
"During data preprocessing, we cleaned the data and addressed a few anomalies found after our initial look at the dataset:\n",
"- Replaced missing values in the **churn_date** column with 2018-12-31, the last day of the year.\n",
"- Changed all dates from *object* to *datetime* data type\n",
"- Changed **user_id** columns from *int64* to *object* data type\n",
"- Rounded the **duration** column up to minutes, and changed type from *float64* to *int64*\n",
"- Changed **usd_per_message** and **usd_per_minute** to *int64*\n",
"- Calculated the total data used per month, rounded up to the nearest gb, and changed type to *int64*\n",
"- Decided to keep the data where **call_duration** was zero\n",
"- Found where messages, sessions, and calls occurred after the churn date. We decided to keep this data as well\n",
"- Found monthly sums and counts using pivot tables for the following:\n",
" - number of calls made per month\n",
" - minutes used per month\n",
" - number of text messages per month\n",
" - volume of data per month\n",
" - monthly revenue from each user\n",
"\n",
"After an in-depth analysis where we first calculated monthly call duration, data usage, and text messages sent, we're able to calculate monthly revenue for each user.\n",
"\n",
"With monthly revenues tied to user IDs, we then split the data into the two demographics and performed a p-test to determine whether or not differences in mean monthly revenues between plans was statistically significant.\n",
"\n",
"#### Suggestions <a name=\"step_5_2\"></a>\n",
"We determined that the difference in average revenue between plans was statistically significant. The mean monthly revenue for the Ultimate plan is greater than that of the Surf plan. The marketing department should therefore focus advertising resources on the Ultimate plan.\n",
"\n",
"We also determined that the difference in average revenue between NY-NJ area and all other areas is statistically significant. The mean revenue from customers from all other areas outside of the NY-NJ area is greater than that of the NY-NJ area. We should therefore focus resources to areas outside the NY-NJ area."
]
}
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