{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "IPython.OutputArea.prototype._should_scroll = function(lines) {\n", " return false;\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%javascript\n", "IPython.OutputArea.prototype._should_scroll = function(lines) {\n", " return false;\n", "}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Let's Clean Some Data\n", "\n", "Fivethirtyeight has some great data sets and this is one of them. In July 2014, before the third Star Wars trilogy was released, they decided to survey Americans to see which of the first six movies was their favorite. Let's take a look at the results. Some light cleaning should make it more usable!" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "scrolled": false }, "outputs": [], "source": [ "# import libraries and csv\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "star_wars = pd.read_csv(\"star_wars.csv\", encoding=\"ISO-8859-1\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
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RespondentIDHave you seen any of the 6 films in the Star Wars franchise?Do you consider yourself to be a fan of the Star Wars film franchise?Which of the following Star Wars films have you seen? Please select all that apply.Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film....Unnamed: 28Which character shot first?Are you familiar with the Expanded Universe?Do you consider yourself to be a fan of the Expanded Universe?Do you consider yourself to be a fan of the Star Trek franchise?GenderAgeHousehold IncomeEducationLocation (Census Region)
03292879998YesYesStar Wars: Episode I The Phantom MenaceStar Wars: Episode II Attack of the ClonesStar Wars: Episode III Revenge of the SithStar Wars: Episode IV A New HopeStar Wars: Episode V The Empire Strikes BackStar Wars: Episode VI Return of the Jedi3.0...Very favorablyI don't understand this questionYesNoNoMale18-29NaNHigh school degreeSouth Atlantic
13292879538NoNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNYesMale18-29$0 - $24,999Bachelor degreeWest South Central
23292765271YesNoStar Wars: Episode I The Phantom MenaceStar Wars: Episode II Attack of the ClonesStar Wars: Episode III Revenge of the SithNaNNaNNaN1.0...Unfamiliar (N/A)I don't understand this questionNoNaNNoMale18-29$0 - $24,999High school degreeWest North Central
33292763116YesYesStar Wars: Episode I The Phantom MenaceStar Wars: Episode II Attack of the ClonesStar Wars: Episode III Revenge of the SithStar Wars: Episode IV A New HopeStar Wars: Episode V The Empire Strikes BackStar Wars: Episode VI Return of the Jedi5.0...Very favorablyI don't understand this questionNoNaNYesMale18-29$100,000 - $149,999Some college or Associate degreeWest North Central
43292731220YesYesStar Wars: Episode I The Phantom MenaceStar Wars: Episode II Attack of the ClonesStar Wars: Episode III Revenge of the SithStar Wars: Episode IV A New HopeStar Wars: Episode V The Empire Strikes BackStar Wars: Episode VI Return of the Jedi5.0...Somewhat favorablyGreedoYesNoNoMale18-29$100,000 - $149,999Some college or Associate degreeWest North Central
53292719380YesYesStar Wars: Episode I The Phantom MenaceStar Wars: Episode II Attack of the ClonesStar Wars: Episode III Revenge of the SithStar Wars: Episode IV A New HopeStar Wars: Episode V The Empire Strikes BackStar Wars: Episode VI Return of the Jedi1.0...Very favorablyHanYesNoYesMale18-29$25,000 - $49,999Bachelor degreeMiddle Atlantic
63292684787YesYesStar Wars: Episode I The Phantom MenaceStar Wars: Episode II Attack of the ClonesStar Wars: Episode III Revenge of the SithStar Wars: Episode IV A New HopeStar Wars: Episode V The Empire Strikes BackStar Wars: Episode VI Return of the Jedi6.0...Very favorablyHanYesNoNoMale18-29NaNHigh school degreeEast North Central
73292663732YesYesStar Wars: Episode I The Phantom MenaceStar Wars: Episode II Attack of the ClonesStar Wars: Episode III Revenge of the SithStar Wars: Episode IV A New HopeStar Wars: Episode V The Empire Strikes BackStar Wars: Episode VI Return of the Jedi4.0...Very favorablyHanNoNaNYesMale18-29NaNHigh school degreeSouth Atlantic
83292654043YesYesStar Wars: Episode I The Phantom MenaceStar Wars: Episode II Attack of the ClonesStar Wars: Episode III Revenge of the SithStar Wars: Episode IV A New HopeStar Wars: Episode V The Empire Strikes BackStar Wars: Episode VI Return of the Jedi5.0...Somewhat favorablyHanNoNaNNoMale18-29$0 - $24,999Some college or Associate degreeSouth Atlantic
93292640424YesNoNaNStar Wars: Episode II Attack of the ClonesNaNNaNNaNNaN1.0...Very favorablyI don't understand this questionNoNaNNoMale18-29$25,000 - $49,999Some college or Associate degreePacific
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" ], "text/plain": [ " RespondentID Have you seen any of the 6 films in the Star Wars franchise? \\\n", "0 3292879998 Yes \n", "1 3292879538 No \n", "2 3292765271 Yes \n", "3 3292763116 Yes \n", "4 3292731220 Yes \n", "5 3292719380 Yes \n", "6 3292684787 Yes \n", "7 3292663732 Yes \n", "8 3292654043 Yes \n", "9 3292640424 Yes \n", "\n", " Do you consider yourself to be a fan of the Star Wars film franchise? \\\n", "0 Yes \n", "1 NaN \n", "2 No \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 No \n", "\n", " Which of the following Star Wars films have you seen? Please select all that apply. \\\n", "0 Star Wars: Episode I The Phantom Menace \n", "1 NaN \n", "2 Star Wars: Episode I The Phantom Menace \n", "3 Star Wars: Episode I The Phantom Menace \n", "4 Star Wars: Episode I The Phantom Menace \n", "5 Star Wars: Episode I The Phantom Menace \n", "6 Star Wars: Episode I The Phantom Menace \n", "7 Star Wars: Episode I The Phantom Menace \n", "8 Star Wars: Episode I The Phantom Menace \n", "9 NaN \n", "\n", " Unnamed: 4 \\\n", "0 Star Wars: Episode II Attack of the Clones \n", "1 NaN \n", "2 Star Wars: Episode II Attack of the Clones \n", "3 Star Wars: Episode II Attack of the Clones \n", "4 Star Wars: Episode II Attack of the Clones \n", "5 Star Wars: Episode II Attack of the Clones \n", "6 Star Wars: Episode II Attack of the Clones \n", "7 Star Wars: Episode II Attack of the Clones \n", "8 Star Wars: Episode II Attack of the Clones \n", "9 Star Wars: Episode II Attack of the Clones \n", "\n", " Unnamed: 5 \\\n", "0 Star Wars: Episode III Revenge of the Sith \n", "1 NaN \n", "2 Star Wars: Episode III Revenge of the Sith \n", "3 Star Wars: Episode III Revenge of the Sith \n", "4 Star Wars: Episode III Revenge of the Sith \n", "5 Star Wars: Episode III Revenge of the Sith \n", "6 Star Wars: Episode III Revenge of the Sith \n", "7 Star Wars: Episode III Revenge of the Sith \n", "8 Star Wars: Episode III Revenge of the Sith \n", "9 NaN \n", "\n", " Unnamed: 6 \\\n", "0 Star Wars: Episode IV A New Hope \n", "1 NaN \n", "2 NaN \n", "3 Star Wars: Episode IV A New Hope \n", "4 Star Wars: Episode IV A New Hope \n", "5 Star Wars: Episode IV A New Hope \n", "6 Star Wars: Episode IV A New Hope \n", "7 Star Wars: Episode IV A New Hope \n", "8 Star Wars: Episode IV A New Hope \n", "9 NaN \n", "\n", " Unnamed: 7 \\\n", "0 Star Wars: Episode V The Empire Strikes Back \n", "1 NaN \n", "2 NaN \n", "3 Star Wars: Episode V The Empire Strikes Back \n", "4 Star Wars: Episode V The Empire Strikes Back \n", "5 Star Wars: Episode V The Empire Strikes Back \n", "6 Star Wars: Episode V The Empire Strikes Back \n", "7 Star Wars: Episode V The Empire Strikes Back \n", "8 Star Wars: Episode V The Empire Strikes Back \n", "9 NaN \n", "\n", " Unnamed: 8 \\\n", "0 Star Wars: Episode VI Return of the Jedi \n", "1 NaN \n", "2 NaN \n", "3 Star Wars: Episode VI Return of the Jedi \n", "4 Star Wars: Episode VI Return of the Jedi \n", "5 Star Wars: Episode VI Return of the Jedi \n", "6 Star Wars: Episode VI Return of the Jedi \n", "7 Star Wars: Episode VI Return of the Jedi \n", "8 Star Wars: Episode VI Return of the Jedi \n", "9 NaN \n", "\n", " Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film. \\\n", "0 3.0 \n", "1 NaN \n", "2 1.0 \n", "3 5.0 \n", "4 5.0 \n", "5 1.0 \n", "6 6.0 \n", "7 4.0 \n", "8 5.0 \n", "9 1.0 \n", "\n", " ... Unnamed: 28 Which character shot first? \\\n", "0 ... Very favorably I don't understand this question \n", "1 ... NaN NaN \n", "2 ... Unfamiliar (N/A) I don't understand this question \n", "3 ... Very favorably I don't understand this question \n", "4 ... Somewhat favorably Greedo \n", "5 ... Very favorably Han \n", "6 ... Very favorably Han \n", "7 ... Very favorably Han \n", "8 ... Somewhat favorably Han \n", "9 ... Very favorably I don't understand this question \n", "\n", " Are you familiar with the Expanded Universe? \\\n", "0 Yes \n", "1 NaN \n", "2 No \n", "3 No \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 No \n", "8 No \n", "9 No \n", "\n", " Do you consider yourself to be a fan of the Expanded Universe? \\\n", "0 No \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 No \n", "5 No \n", "6 No \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "\n", " Do you consider yourself to be a fan of the Star Trek franchise? Gender \\\n", "0 No Male \n", "1 Yes Male \n", "2 No Male \n", "3 Yes Male \n", "4 No Male \n", "5 Yes Male \n", "6 No Male \n", "7 Yes Male \n", "8 No Male \n", "9 No Male \n", "\n", " Age Household Income Education \\\n", "0 18-29 NaN High school degree \n", "1 18-29 $0 - $24,999 Bachelor degree \n", "2 18-29 $0 - $24,999 High school degree \n", "3 18-29 $100,000 - $149,999 Some college or Associate degree \n", "4 18-29 $100,000 - $149,999 Some college or Associate degree \n", "5 18-29 $25,000 - $49,999 Bachelor degree \n", "6 18-29 NaN High school degree \n", "7 18-29 NaN High school degree \n", "8 18-29 $0 - $24,999 Some college or Associate degree \n", "9 18-29 $25,000 - $49,999 Some college or Associate degree \n", "\n", " Location (Census Region) \n", "0 South Atlantic \n", "1 West South Central \n", "2 West North Central \n", "3 West North Central \n", "4 West North Central \n", "5 Middle Atlantic \n", "6 East North Central \n", "7 South Atlantic \n", "8 South Atlantic \n", "9 Pacific \n", "\n", "[10 rows x 38 columns]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "Index(['RespondentID',\n", " 'Have you seen any of the 6 films in the Star Wars franchise?',\n", " 'Do you consider yourself to be a fan of the Star Wars film franchise?',\n", " 'Which of the following Star Wars films have you seen? Please select all that apply.',\n", " 'Unnamed: 4', 'Unnamed: 5', 'Unnamed: 6', 'Unnamed: 7', 'Unnamed: 8',\n", " 'Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.',\n", " 'Unnamed: 10', 'Unnamed: 11', 'Unnamed: 12', 'Unnamed: 13',\n", " 'Unnamed: 14',\n", " 'Please state whether you view the following characters favorably, unfavorably, or are unfamiliar with him/her.',\n", " 'Unnamed: 16', 'Unnamed: 17', 'Unnamed: 18', 'Unnamed: 19',\n", " 'Unnamed: 20', 'Unnamed: 21', 'Unnamed: 22', 'Unnamed: 23',\n", " 'Unnamed: 24', 'Unnamed: 25', 'Unnamed: 26', 'Unnamed: 27',\n", " 'Unnamed: 28', 'Which character shot first?',\n", " 'Are you familiar with the Expanded Universe?',\n", " 'Do you consider yourself to be a fan of the Expanded Universe?',\n", " 'Do you consider yourself to be a fan of the Star Trek franchise?',\n", " 'Gender', 'Age', 'Household Income', 'Education',\n", " 'Location (Census Region)'],\n", " dtype='object')" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "(1186, 38)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# explore the data frame\n", "display(star_wars.head(10))\n", "display(star_wars.columns)\n", "display(star_wars.shape)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# rename columns\n", "new_columns = {\"Have you seen any of the 6 films in the Star Wars franchise?\":\"Seen any of the first 6 Star Wars movies?\",\n", " \"Do you consider yourself to be a fan of the Star Wars film franchise?\":\"Fan of the Star Wars franchise?\",\n", " \"Which of the following Star Wars films have you seen? Please select all that apply.\" : \"seen_ep_1\",\n", " \"Unnamed: 4\" : \"seen_ep_2\",\n", " \"Unnamed: 5\" : \"seen_ep_3\",\n", " \"Unnamed: 6\" : \"seen_ep_4\",\n", " \"Unnamed: 7\" : \"seen_ep_5\",\n", " \"Unnamed: 8\" : \"seen_ep_6\",\n", " \"Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.\":\"rank_ep_1\",\n", " \"Unnamed: 10\":\"rank_ep_2\",\n", " \"Unnamed: 11\":\"rank_ep_3\",\n", " \"Unnamed: 12\":\"rank_ep_4\",\n", " \"Unnamed: 13\":\"rank_ep_5\",\n", " \"Unnamed: 14\":\"rank_ep_6\"}\n", "\n", "star_wars = star_wars.rename(columns = new_columns)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Yes 936\n", "No 250\n", "Name: Seen any of the first 6 Star Wars movies?, dtype: int64\n", "Yes 552\n", "NaN 350\n", "No 284\n", "Name: Fan of the Star Wars franchise?, dtype: int64\n", "Star Wars: Episode I The Phantom Menace 673\n", "NaN 513\n", "Name: seen_ep_1, dtype: int64\n" ] } ], "source": [ "# value counts for columns 1:3\n", "print(star_wars[\"Seen any of the first 6 Star Wars movies?\"].value_counts(dropna=False))\n", "print(star_wars[\"Fan of the Star Wars franchise?\"].value_counts(dropna=False))\n", "print(star_wars[\"seen_ep_1\"].value_counts(dropna=False))" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "True 936\n", "False 250\n", "Name: Seen any of the first 6 Star Wars movies?, dtype: int64\n", "True 552\n", "NaN 350\n", "False 284\n", "Name: Fan of the Star Wars franchise?, dtype: int64\n" ] }, { "data": { "text/plain": [ "True 673\n", "False 513\n", "Name: seen_ep_1, dtype: int64" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# switch values to boolean for columns 1:2\n", "yes_no_bool = {\"Yes\":True, \"No\":False}\n", "star_wars[\"Seen any of the first 6 Star Wars movies?\"] = star_wars[\"Seen any of the first 6 Star Wars movies?\"].map(yes_no_bool)\n", "star_wars[\"Fan of the Star Wars franchise?\"] = star_wars[\"Fan of the Star Wars franchise?\"].map(yes_no_bool)\n", "\n", "\n", "# switch values to boolean for columns 3:9\n", "watch_bool = {\"Star Wars: Episode I The Phantom Menace\" : True,\n", " \"Star Wars: Episode II Attack of the Clones\" : True,\n", " \"Star Wars: Episode III Revenge of the Sith\" : True,\n", " \"Star Wars: Episode IV A New Hope\" : True,\n", " \"Star Wars: Episode V The Empire Strikes Back\" : True,\n", " \"Star Wars: Episode VI Return of the Jedi\" : True,\n", " np.NaN : False}\n", "\n", "for col in star_wars.columns[3:9]:\n", " star_wars[col] = star_wars[col].map(watch_bool)\n", "\n", "# value counts for columns 1:3\n", "print(star_wars[\"Seen any of the first 6 Star Wars movies?\"].value_counts(dropna=False))\n", "print(star_wars[\"Fan of the Star Wars franchise?\"].value_counts(dropna=False))\n", "display(star_wars.iloc[:,3].value_counts(dropna=False))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " rank_ep_1 rank_ep_2 rank_ep_3 rank_ep_4 rank_ep_5 rank_ep_6\n", "0 3.0 2.0 1.0 4.0 5.0 6.0\n", "1 NaN NaN NaN NaN NaN NaN\n", "2 1.0 2.0 3.0 4.0 5.0 6.0\n", "3 5.0 6.0 1.0 2.0 4.0 3.0\n", "4 5.0 4.0 6.0 2.0 1.0 3.0" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "star_wars.iloc[:,9:15].head()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# convert rankings to float\n", "star_wars[star_wars.columns[9:15]] = star_wars[star_wars.columns[9:15]].astype(float)\n", "\n", "# convert rankings order, i.e. 1:6 and 6:1 etc\n", "# this makes bar chart easier to look at and allows for pie charts\n", "star_wars.iloc[:,9:15] = star_wars.iloc[:,9:15].replace({1:6, 6:1, 2:5, 5:2, 3:4, 4:3})" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " rank_ep_1 rank_ep_2 rank_ep_3 rank_ep_4 rank_ep_5 rank_ep_6\n", "0 4.0 5.0 6.0 3.0 2.0 1.0\n", "1 NaN NaN NaN NaN NaN NaN\n", "2 6.0 5.0 4.0 3.0 2.0 1.0\n", "3 2.0 1.0 6.0 5.0 3.0 4.0\n", "4 2.0 3.0 1.0 5.0 6.0 4.0" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "star_wars.iloc[:,9:15].head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Closer Look\n", "Now that the columns are renamed and the values have been changed to True/False we can start analyzing the data." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Seen any of the first 6 Star Wars movies? 0.789207\n", "Fan of the Star Wars franchise? 0.660287\n", "seen_ep_1 0.567454\n", "seen_ep_2 0.481450\n", "seen_ep_3 0.463744\n", "seen_ep_4 0.511804\n", "seen_ep_5 0.639123\n", "seen_ep_6 0.622260\n", "rank_ep_1 3.267066\n", "rank_ep_2 2.912679\n", "rank_ep_3 2.658683\n", "rank_ep_4 3.727273\n", "rank_ep_5 4.486842\n", "rank_ep_6 3.952153\n", "dtype: float64" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "Seen any of the first 6 Star Wars movies? 936\n", "Fan of the Star Wars franchise? 552\n", "seen_ep_1 673\n", "seen_ep_2 571\n", "seen_ep_3 550\n", "seen_ep_4 607\n", "seen_ep_5 758\n", "seen_ep_6 738\n", "dtype: object" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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RespondentIDSeen any of the first 6 Star Wars movies?seen_ep_1seen_ep_2seen_ep_3seen_ep_4seen_ep_5seen_ep_6rank_ep_1rank_ep_2rank_ep_3rank_ep_4rank_ep_5rank_ep_6
Gender
Female3.289817e+090.7231330.5428050.4316940.4043720.4644810.6429870.6156653.5707073.0453402.5818643.4559194.4307303.921914
Male3.290478e+090.8511070.7263580.6498990.6378270.6881290.7887320.7786722.9621752.7754142.7251184.0023644.5413713.997636
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" ], "text/plain": [ " RespondentID Seen any of the first 6 Star Wars movies? seen_ep_1 \\\n", "Gender \n", "Female 3.289817e+09 0.723133 0.542805 \n", "Male 3.290478e+09 0.851107 0.726358 \n", "\n", " seen_ep_2 seen_ep_3 seen_ep_4 seen_ep_5 seen_ep_6 rank_ep_1 \\\n", "Gender \n", "Female 0.431694 0.404372 0.464481 0.642987 0.615665 3.570707 \n", "Male 0.649899 0.637827 0.688129 0.788732 0.778672 2.962175 \n", "\n", " rank_ep_2 rank_ep_3 rank_ep_4 rank_ep_5 rank_ep_6 \n", "Gender \n", "Female 3.045340 2.581864 3.455919 4.430730 3.921914 \n", "Male 2.775414 2.725118 4.002364 4.541371 3.997636 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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RespondentIDSeen any of the first 6 Star Wars movies?seen_ep_1seen_ep_2seen_ep_3seen_ep_4seen_ep_5seen_ep_6
Gender
Female1806109676556397298237222255353338
Male1635367528067423361323317342392387
\n", "
" ], "text/plain": [ " RespondentID Seen any of the first 6 Star Wars movies? seen_ep_1 \\\n", "Gender \n", "Female 1806109676556 397 298 \n", "Male 1635367528067 423 361 \n", "\n", " seen_ep_2 seen_ep_3 seen_ep_4 seen_ep_5 seen_ep_6 \n", "Gender \n", "Female 237 222 255 353 338 \n", "Male 323 317 342 392 387 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# get average value for seen any, fan, which episode, rankings by episode\n", "group_means = star_wars.iloc[:,1:15].mean()\n", "display(group_means)\n", "\n", "# totals\n", "group_sums = star_wars.iloc[:,1:9].sum()\n", "display(group_sums)\n", "\n", "gender_means = star_wars.groupby(\"Gender\").mean()\n", "display(gender_means)\n", "\n", "gender_sums = star_wars.groupby(\"Gender\").sum()\n", "gender_sums = gender_sums.iloc[:,0:8]\n", "gender_sums" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RespondentIDSeen any of the first 6 Star Wars movies?Fan of the Star Wars franchise?seen_ep_1seen_ep_2seen_ep_3seen_ep_4seen_ep_5seen_ep_6rank_ep_1...Unnamed: 28Which character shot first?Are you familiar with the Expanded Universe?Do you consider yourself to be a fan of the Expanded Universe?Do you consider yourself to be a fan of the Star Trek franchise?GenderAgeHousehold IncomeEducationLocation (Census Region)
103292637870TrueNaNFalseFalseFalseFalseFalseFalseNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
803291669388TrueNaNFalseFalseFalseFalseFalseFalseNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
963291570206TrueNaNFalseFalseFalseFalseFalseFalseNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1053291469991TrueNaNFalseFalseFalseFalseFalseFalseNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1273291420030TrueNaNFalseFalseFalseFalseFalseFalseNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", "

5 rows × 38 columns

\n", "
" ], "text/plain": [ " RespondentID Seen any of the first 6 Star Wars movies? \\\n", "10 3292637870 True \n", "80 3291669388 True \n", "96 3291570206 True \n", "105 3291469991 True \n", "127 3291420030 True \n", "\n", " Fan of the Star Wars franchise? seen_ep_1 seen_ep_2 seen_ep_3 \\\n", "10 NaN False False False \n", "80 NaN False False False \n", "96 NaN False False False \n", "105 NaN False False False \n", "127 NaN False False False \n", "\n", " seen_ep_4 seen_ep_5 seen_ep_6 rank_ep_1 ... Unnamed: 28 \\\n", "10 False False False NaN ... NaN \n", "80 False False False NaN ... NaN \n", "96 False False False NaN ... NaN \n", "105 False False False NaN ... NaN \n", "127 False False False NaN ... NaN \n", "\n", " Which character shot first? \\\n", "10 NaN \n", "80 NaN \n", "96 NaN \n", "105 NaN \n", "127 NaN \n", "\n", " Are you familiar with the Expanded Universe? \\\n", "10 NaN \n", "80 NaN \n", "96 NaN \n", "105 NaN \n", "127 NaN \n", "\n", " Do you consider yourself to be a fan of the Expanded Universe? \\\n", "10 NaN \n", "80 NaN \n", "96 NaN \n", "105 NaN \n", "127 NaN \n", "\n", " Do you consider yourself to be a fan of the Star Trek franchise? Gender \\\n", "10 NaN NaN \n", "80 NaN NaN \n", "96 NaN NaN \n", "105 NaN NaN \n", "127 NaN NaN \n", "\n", " Age Household Income Education Location (Census Region) \n", "10 NaN NaN NaN NaN \n", "80 NaN NaN NaN NaN \n", "96 NaN NaN NaN NaN \n", "105 NaN NaN NaN NaN \n", "127 NaN NaN NaN NaN \n", "\n", "[5 rows x 38 columns]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "(100, 38)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# fan_nan\n", "fan_nan = star_wars[(star_wars.iloc[:,1] == True) & (star_wars.iloc[:,2].isna())]\n", "display(fan_nan.head())\n", "display(fan_nan.shape)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# female, group, and male % seen and total seen compared to rank (1 is good!)\n", "ep_index = [\"Ep 1\",\"Ep 2\",\"Ep 3\",\"Ep 4\",\"Ep 5\",\"Ep 6\"]\n", "\n", "# % seen and rank\n", "fig = plt.figure(figsize=(18,5))\n", "ax = fig.add_subplot(131) # female % seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "gender_means.iloc[0,2:8].plot(kind=\"bar\", color=\"#BD8D1E\", ax=ax, width=width, position=1)\n", "gender_means.iloc[0,8:14].plot(kind=\"bar\", color=\"#B3592D\", ax=ax2, width=width, position=0)\n", "ax.set_ylim(top=1.0)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Female % Seen & Rank\", size=15)\n", "ax = fig.add_subplot(132) # group % seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "ax.set_ylim(top=1.0)\n", "group_means.iloc[2:8].plot(kind=\"bar\", color=\"#4393C4\", ax=ax, width=width, position=1)\n", "group_means.iloc[8:14].plot(kind=\"bar\", color=\"#126AA1\", ax=ax2, width=width, position=0)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Group % Seen & Rank\", size=15)\n", "ax = fig.add_subplot(133)# male % seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "gender_means.iloc[1,2:8].plot(kind=\"bar\", color=\"#5FC295\", ax=ax, width=width, position=1)\n", "gender_means.iloc[1,8:14].plot(kind=\"bar\", color=\"#116B43\", ax=ax2, width=width, position=0)\n", "ax.set_ylim(top=1.0)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Male % Seen & Rank\", size=15)\n", "plt.show()\n", "\n", "# sums and rank\n", "fig = plt.figure(figsize=(18,5))\n", "ax = fig.add_subplot(131) # female total seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "gender_sums.iloc[0,2:8].plot(kind=\"bar\", color=\"#F7CC65\", ax=ax, width=width, position=1)\n", "gender_means.iloc[0,8:14].plot(kind=\"bar\", color=\"#B3592D\", ax=ax2, width=width, position=0)\n", "ax.set_ylim(top=600)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Female Total & Rank\", size=15)\n", "ax = fig.add_subplot(132) # group total seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "group_sums.iloc[2:8].plot(kind=\"bar\", color=\"#75BEEB\", ax=ax, width=width, position=1)\n", "group_means.iloc[8:14].plot(kind=\"bar\", color=\"#126AA1\", ax=ax2, width=width, position=0)\n", "ax.set_ylim(top=900)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Group Total & Rank\", size=15)\n", "ax = fig.add_subplot(133) # male total seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "gender_sums.iloc[1,2:8].plot(kind=\"bar\", color=\"#B0F7D7\", ax=ax, width=width, position=1)\n", "gender_means.iloc[1,8:14].plot(kind=\"bar\", color=\"#116B43\", ax=ax2, width=width, position=0)\n", "ax.set_ylim(top=600)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Male Total & Rank\", size=15)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# female, group, and male rank\n", "ep_index = [\"Ep 1\",\"Ep 2\",\"Ep 3\",\"Ep 4\",\"Ep 5\",\"Ep 6\"]\n", "fig = plt.figure(figsize=(10,8))\n", "x = np.arange(6)\n", "y1 = gender_means.iloc[0,8:14]\n", "y2 = group_means.iloc[8:14]\n", "y3 = gender_means.iloc[1,8:14]\n", "width = 0.2\n", "plt.bar(x-0.2, y1, width, color=\"#EAB464\")\n", "plt.bar(x, y2, width, color=\"#8D98A7\")\n", "plt.bar(x+0.2, y3, width, color=\"#3F6A6A\")\n", "plt.xticks(x, ep_index)\n", "plt.xlabel(\"Episode\")\n", "plt.ylabel(\"Ranks\")\n", "plt.legend([\"Female\", \"Group\", \"Male\"])\n", "plt.title(\"Female, Group, and Male Rankings\", size=15)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Impressions\n", "* The original dataset contains 1186 rows of unique respondents. 78% of them have seen a Star Wars movie and 66% consider themselves fans of the franchise. That's pretty good!\n", "\n", "* There are 100 respondents who have seen some of the movies but their answer to if they were a fan is set to `NaN`. This sets all the other values in the row to `NaN` as well. There's no indication as to why they are blank.\n", "\n", "* The bar charts show a pretty even distribution of which movies the male respondents have seen, but for females there is some variation in viewers. The most seen are Episodes V, VI, and I respectively. Episode IV, the one that started it all, has almost as many viewers as I.\n", "\n", "* The favorite is Episode V, with VI and IV coming in close second and third ranks. Episodes II and III are not popular... Females like Episode I more than males, and males like Episode IV more than females.\n", "\n", "* Using the total number seen or percentage of the total seen doesn't look much different on the graph. The rest of the analysis will use percentages." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Other Groups\n", "There are other demographic groups available. Next we'll compare Star Trek fans, age, income, education and geographic region.\n", "\n", "### Star Trek Fans" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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RespondentIDSeen any of the first 6 Star Wars movies?seen_ep_1seen_ep_2seen_ep_3seen_ep_4seen_ep_5seen_ep_6rank_ep_1rank_ep_2rank_ep_3rank_ep_4rank_ep_5rank_ep_6
Do you consider yourself to be a fan of the Star Trek franchise?
No3.290120e+090.6443060.4695790.3556940.3447740.4024960.5507020.5210613.5121363.0847462.7215503.5665864.3656173.755448
Yes3.290126e+090.9718970.8524590.7868850.7540980.8009370.9297420.9274003.0313252.7445782.5966183.8891574.5927714.149398
\n", "
" ], "text/plain": [ " RespondentID \\\n", "Do you consider yourself to be a fan of the Sta... \n", "No 3.290120e+09 \n", "Yes 3.290126e+09 \n", "\n", " Seen any of the first 6 Star Wars movies? \\\n", "Do you consider yourself to be a fan of the Sta... \n", "No 0.644306 \n", "Yes 0.971897 \n", "\n", " seen_ep_1 seen_ep_2 \\\n", "Do you consider yourself to be a fan of the Sta... \n", "No 0.469579 0.355694 \n", "Yes 0.852459 0.786885 \n", "\n", " seen_ep_3 seen_ep_4 \\\n", "Do you consider yourself to be a fan of the Sta... \n", "No 0.344774 0.402496 \n", "Yes 0.754098 0.800937 \n", "\n", " seen_ep_5 seen_ep_6 \\\n", "Do you consider yourself to be a fan of the Sta... \n", "No 0.550702 0.521061 \n", "Yes 0.929742 0.927400 \n", "\n", " rank_ep_1 rank_ep_2 \\\n", "Do you consider yourself to be a fan of the Sta... \n", "No 3.512136 3.084746 \n", "Yes 3.031325 2.744578 \n", "\n", " rank_ep_3 rank_ep_4 \\\n", "Do you consider yourself to be a fan of the Sta... \n", "No 2.721550 3.566586 \n", "Yes 2.596618 3.889157 \n", "\n", " rank_ep_5 rank_ep_6 \n", "Do you consider yourself to be a fan of the Sta... \n", "No 4.365617 3.755448 \n", "Yes 4.592771 4.149398 " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# trekkies\n", "trekkies = star_wars.groupby(star_wars.iloc[:,32]).mean()\n", "trekkies" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# % seen and rank\n", "fig = plt.figure(figsize=(18,5))\n", "ax = fig.add_subplot(131)# Star Trek liker % seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "trekkies.iloc[1,2:8].plot(kind=\"bar\", color=\"#F2A679\", ax=ax, width=width, position=1)\n", "trekkies.iloc[1,8:14].plot(kind=\"bar\", color=\"#61514C\", ax=ax2, width=width, position=0)\n", "ax.set_ylim(top=1.0)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Star Trek liker % Seen & Rank\", size=15)\n", "ax = fig.add_subplot(132) # group % seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "group_means.iloc[2:8].plot(kind=\"bar\", color=\"#4393C4\", ax=ax, width=width, position=1)\n", "group_means.iloc[8:14].plot(kind=\"bar\", color=\"#126AA1\", ax=ax2, width=width, position=0)\n", "ax.set_ylim(top=1.0)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Group % Seen & Rank\", size=15)\n", "ax = fig.add_subplot(133) # Star Trek dis-liker % seen and average rank\n", "ax2 = ax.twinx() \n", "width = 0.4\n", "trekkies.iloc[0,2:8].plot(kind=\"bar\", color=\"#A1C4BB\", ax=ax, width=width, position=1)\n", "trekkies.iloc[0,8:14].plot(kind=\"bar\", color=\"#498271\", ax=ax2, width=width, position=0)\n", "ax.set_ylim(top=1.0)\n", "ax.set_xticks([0,1,2,3,4,5])\n", "ax.set_xticklabels(ep_index)\n", "plt.title(\"Star Trek dis-liker % Seen & Rank\", size=15)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Star Trek Fan Impressions\n", "* People that like Star Trek are not fans of the first three movies.\n", "* People who dislike Star Trek are not that likely to watch any of the Star Wars movies.\n", "* People who dislike Star Trek like Episode I about as much as they like Episodes IV and VI.\n", "\n", "### Age Groups" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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iztnCWvdSMet6YH4BHrYen2M2DC8cqK6j17ZXAunW3z4Ts93GT5jDCdQr5/+gL0eHIuhpnS/DOvenQLcy9i/sQv5mBT9PhX/HS8qxbeEQAJ28lrUF3i7mfXuXte1l/nrfeh2vDWabq/VWHC7MJOhba3nnYvYp9r1VzHHnY94wuaznBUCbErZvytG5yHKs819O2d3gYzBLszZhtuf6G7MXW7nG8ZKHPAofSuvi2rSJSGWVFD0InK3N3iFCVJpSaiVmclRDa51ldzyFlFIvAdcD/9Faf2FzOCilXsWcV6yt1nqj3fEEI6vEsI+u+JAeQhRL2gAJIapEKRWvlKpZzPIbMBtBfxpkyU9TzHF8fqXksWv8cV5DFT+X3rmYVWu/SPIjROBIGyAhRFU1A75XSn2G2fDYiTkg3ZmYVSz+aoBdIUqpqzEbZV+FWY3ygA5sEXg08I9S6kvMNjJuzK7/52FW+/qzt54QoghJgIQQVbULc3TnPpjTZcRgNl5/EZiozR5IwWA4Zo+kf4AxWuu3Anx+F+bo0OdgVgvGY86D9yYwSWstXbiFCCBpAySEEEKIiCNtgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEcdodgPCd9GFrTwLuBk4HTgOWp8zp0rfINo2Ax4B+QA3gD2BKypwur5Zx7EbAHdZ+JwIHgCXAvSlzumwvsu1lwASgDbAdeC5lTpenqvjyhBBhbOKs9IGY15g2QAKwBZgPPDFueEq+tY0C7gVGAHWBb4Hbxw1PWV/Bcz0N/B8wddzwlLtK2KYxsNGKpdq44SmZFX9VIphJCVB4ORVIBn63HsdIH7bWAN4H+gBjgUuBb4AF6cPWDijj2F2AAUA6cDFmotUDWJU+bG2i1znOAN4G1ljbzQMmpw9bm1qVFyaECHt1gC+BYcAFmNeOcYD3zVMa8AAwGfP6kgl8PnFWesPynmTirPR2wI1ARhmbPmkdX4QpKQEKLx+kzOnyHkD6sLULMe+QvLUGugKXpMzp8oG17Iv0YWt7AFcB75Ry7BVA25Q5XdyFC9KHrV2HeYd0BfCytXg8sCJlTpdh1u+fpg9bWwsYnz5s7fSUOV3yK//yhBDhatzwlBeKLPpy4qz06sCoibPSbwNiMBOgx8cNT5kGMHFW+tfAZmA0cH85T/Us8AxwbUkbTJyV3hs4H7O0/MkKvAwRQqQEKIykzOniKWOTKOv5UJHlBwFVxrEPeic/1rLfgWygvtfijsDnRXb/FKgF9CwjPiGE8LYPiLZ+7gVUB/5XuHLc8JQs4APMEqMyWdVspwCTStnGATyHWY2/t1JRi5AgJUCR5SdgNTAhfdjam4FdwOXAGZTzAuItfdjaJCAe+MVrcSxQtJQnz3o+BVhW0fMIISKHlYDEAJ2B24EZ44an6Imz0tsCBZjtFr39Cgwux3HjgKlA2rjhKVkTZ6WXtOmtmNex54FrKvUiREiQEqAIkjKni8ZMdAzMNkKHgFnAjSlzuiypyLGs9kTPYF6MPvVa9SfQrcjm3a3n2pUIWwgRWbKsx3LMG6a7reW1gMxxw1MKimx/AIifOCs9mtLdC+wAFpS0wcRZ6XWAR4A7xg1PcVUidhFCpAQoglhJy3zMxoaDgd2Yjabnpg9buy9lTpeP04etVYDDazedMqdL0QsOwOOYVVp9UuZ08b5QzARmWCVMCzGTnzutdcUdRwghvPXCLFnujtmmcBow0lqni9m+sPpeW73Ejrl+jRueUjBxVnpL4C7gnHHDU4o7RqGJwOpxw1MWV+UFiNAgCVBkuQi4EGidMqdLYTHy0vRha5sCTwAfY/YQ+9Jrn2VAX++DpA9bOxLzriwlZU6X1UXOMQ/oAMzALF3KBu7BrFPf5csXI4QIP+OGp6yzflwxcVb6XuDlibPSp2KW9FSbOCvdUaQUqCaQPW54imvirPS+FH/9mgR8BPw2cVZ6TWudAcRYvx8CCnuHneW1Tbz1XGPirPSCccNTcnz1OoX9JAGKLG2BbK/kp9D3wCXWz2s5tgrrsPeG6cPWXoGZzIxNmdPljaInsEqLRqcPW/sA0ATYZJ0XzC73QghRXoXJUEvgN8zSnZMwe58Wamutg5KvX20wb8wuL3L80dajKXAyZkeRr4uJYxswF7OLvggTkgBFli1AfPqwtW1S5nTxvoB0wexKSsqcLoeB74rbOX3Y2r7Aq8C0lDldppR2opQ5XQ5g3rEVlhitSpnT5bfS9hFCiCLOsJ43Af9ijt0zCHgUYOKs9HjM8YBmAYwbnlLS9WsYkFhk2euYJUQzgD2YQ32cXWSb8zFLsJOBv6v2UkSwUVqXVh0qQkn6sLXxmB9UMNvdVAcetH5fjHn39BNmtdQEzA/9hUAqMCplTpfppRz7FMw7o82Y9fHeXe73pMzp8pe13enAmcB66/wpQH/gzJQ5XX6s4ksUQoSpibPSP8YcQuNnzPaCZ2BexxaNG55ylbXNvZgDId6NWepzB+aArKeOG55SoSr2ibPSNwMLSxoJ2trmBuBFZCTosCQlQOGlPvBmkWWFv7dMmdNlc/qwtediNmCeipmg/IXZ7XNWGcfugTl1RgdgZZF1LwM3WD+7MBtYP4SZJC0HzkiZ02VDBV+LECKyfIt5HWkBuDFLXO7F7FhRaBJm2517MTtzfAecV9HkRwiQEiAhhBBCRCAZB0gIIYQQEUcSICGEEEJEHEmAhBBCCBFxJAESQgghRMSRBEgIIYQQEUcSICGEEEJEHEmAhBBCCBFxJAESQgghRMSRBEgIIYQQEUcSICGEEEJEHEmAhBBCCBFxJAESQgghRMSRBEgIIYQQEUcSICGEEEJEHEmAhBBCCBFxJAESQgghRMSRBEgIIYQQEUcSICGEEEJEHEmAhBBCCBFxJAESQgghRMSRBEgIIYQQEUcSICGEEEJEHEmAhBBCCBFxJAESQgghbKSUKlBKrfd6pFVg37ZKqa+VUnlKqbv8GWe4cdodgBBCCBHhcrTWHSu5737gduAyn0UTIaQESIQluaMSQoQ6pdRmpdRkpdQa63FS0W201ru11t8CLhtCDGlSAiTCldxRCSFCRZxSar3X749rrd+wfs7QWndXSl0HPA1cFOjgwpUkQCKiKKU2A28AZ1uLrtZa/+m9jdZ6N7BbKXVhgMMTQkSm0m7Y0r2e/xuYcCKDJEDiiNSkJQmY7wkH4Ii+rq8G3NbDBbieuMvw2BhiRcgdlRARZMzkubFANNb1q0+vbpzSupXGvHYduY61aZCobQyzMnQJP4sqkgQozKUmLVFAM6A1cDLQAqgL1AbqWI/a1iPKe1/tLshTTkeM97KxUzz5wA5gW5HHv14/b3/iLqPAby+qfOSOSogwMGby3DpAO8xrWEOgHuY1rJ7Xoy4Q673f4czM5UDvIodzb9yVuQvYjnkd2+H1s/fzriBKlAYDk6znr22OJaxIAhRGUpOWNANOBzoBbTAvGCdS5MJQRdFAc+tRkoKxUzy7gF+BbzA/tN88cZexz4dxVIXcUQkRZMZMnlsP6ACcgpnwtLN+rufD0ziBxtajNBkbd2V+D3wHrLWe//RjUlS0xPpjrXVhx40YpdRqzE5LKUV3VEo1tOKrDniUUqlAO611hp9iDRuSAIWo1KQlsUAXoCdm0tMTOMHWoI5yYMZyAnBu4cKxUzx/4JUQAT/aVFIkd1RC2GzM5LmNgT5ejzb2RnSM6hyNq9Chjbsy13E0Ifq2TYPEv31xMq21o5TVz2utHy5l351AE1/EEWkkAQohqUlLTgQuxmyz0huzNCaUnGw9rrV+zxo7xfMdsAJ4+4m7jHU+PJfcUQkRRMZMntsAOJ+jiUUreyOqsBqYnScKO1CwcVfm78D71mNlmwaJodJGUgBK6/CsAVBKFQAbvBa9rrWeVIH9+2I2kI0C9mqt+5S2vT+kJi1xAGdgJjwXA20Def6oq3sf1wbIz/4A3gT+98Rdxg/+OIHVC6yr1nqvP44vhDhqzOS5DYErgEGYN20BG3uuc9Ipy7t3TiraBsif9gIfAu8Bn7ZpkJgVwHOLSgjnBChTa51YyX1rAquA87XWW5VS9a2u0QGRmrSkM3AjcBVmI2Vb2JAAedsI/A8zGfrJVweVBEgI/xozeW4jjiY9Z2LTgLs2JEDecoElmMnQW20aJAZL+0fhJeISoPKMA6OUGgmcoLW+3++BWlKTltQDrgGGAkmBOm9pbE6AvP2CmQy9/sRdxka7gxFCHGvM5LlOYAAwArN6y/ZZBmxOgLzlAW8DL7RpkLjM7mDEUeHcBqgq48C0BqKUUkuBasAzWutX/BFkatKS84HhVgxRZWweqdoBDwEPjZ3i+QKz6/riJ+4ywjN7FyJEjJk8tz7m9etWyu5ZFaliMNsapmzclbkReAGY16ZB4iF7wxKRWgJ0jtb6b6VUFLBTa12nyDbTgK6YPZjiMHsKXai1/t0XsaUmLXFiVm+NBdr74pj+EEQlQMXZCDwDvPzEXUa23cEIUVmh2F5xzOS5PYDbMKu5grIzRhCVABUnE3gJeKZNg8Q/y9hW+Ek4lwCVpqxxYLZhXkiygCyl1FeY41NUKQFKTVoSDwwD7qD0cXRE2doA04FHxk7xPAM8+8RdhtxRiVBU6XnrrPaK0/Fqr+jLwIoaM3nuhcB4oLs/zxMBEoHRwMiNuzIXA4+2aZC42uaYIk6kJkBljQPzHjBNKeXEvLvpQRVGDE5NWlIDSMW8Y7KtUXOYqgNMAO4cO8UzDfhvEA24KESllae9InA18LbWeiscmcfO58ZMntsXmAj08sfxI5iB2fzhoo27Mt8G7m3TINEnNQ2ibOGcAFV6HBit9a9KqY+BHwEPMEdrXeGeSFZV163Ag5hDtQv/qQGMA1LHTvE8C0x84i5DuqGKUBC07RXHTJ7bHTPx+Y+vjilKdDlwycZdmXOBh9o0SNxpd0DhLmzbAJUkUN2gU5OWXApMJrhGN62QIG8DVJZ/gDueuMtYaHcgQpQmGNsrjpk8tz3wKHBJVY5jpyBvA1SWLMxahyfaNEg8bHcw4SqcS4BskZq0pAswBehrcyiRrinw5tgpnk+B2564y5BiZRGKAtpecczkudUwS3xGEQRd2SNYAnA/cMvGXZmPAjPbNEjMtzmmsBNxb3CtdQt/lP6kJi2pmZq0ZDbwLZL8BJN+wIaxUzwTx07xxNsdjBAVNNjruaT2ir2VUk6lVDxme8VfK3OiMZPnXoY55tZtROB3Q5Cqh9nb9eeNuzLPsjuYcCMlQD6QmrRkEPAs0NDuWESxooH7gGvGTvGMeeIu4x27AxLCi63tFcdMntsEmAZcWpngRUCcBCzduCvzGeC+Ng0Sc+wOKBxEXBsgX0pNWlIfmIk5AmrYCfE2QKVZDNz+xF3GX3YHIkRJ/N1ecczkuQZmac8jmA2ow0qItwEqze/A9W0aJH5jdyChToo5Kyk1acmVwM+EafIT5pKBH8ZO8QyxOxAh7DBm8txWwErMnmVhl/yEudbAio27Midt3JUZlINQhgpJgCooNWlJfGrSklcwx+eQru2hKwGYP3aK54WxUzzhWMolQpy/2iuOmTz3auB74HRfH1sEjAO4B1i7cVdmZ7uDCVWSAFVAatKSNsBq4Fq7YxE+Mxz4euwUz4l2ByKEP42ZPDd+zOS5LwGvAtVtDkf4xmnA6o27Mh/cuCtTvs8rSP5g5WRVeX2L+YYT4aUTsHbsFI9UZ4qwNGby3NaYN2/X2x2L8Dkn5mTR723clSnVmRUgCVAZUpOWRKUmLXkGs8pL3lzhqwbw9tgpnqfGTvFE2R2MEL4yZvLcQcB3yM1buLsIWLVxV2ZLuwMJFZIAlSI1aUkDYBlwu92xiIAZAywdO8XTxO5AhKiqMZPnPgj8D7l5ixSnAWs27soMx95vPicJUAlSk5a0xhx4rKfdsYiA6wV8P3aK50y7AxGiMsZMnuscM3nuXMyqERFZ6gKfb9yVeaPdgQQ7SYCKkZq0pCewCpCixMhVF/hk7BTPeXYHIkRFjJk8NxH4AJAvwMgVDczduCtzqjSOLpn8YYqwJjH9AqhT1rYi7MUDH4yd4rnM7kCEKI8xk+c2Ar4Czrc7FhEU7gAWbdyVKb3+iiEJkJfUpCUjgLcwZ1UWAiAGc1LVa+wORIjSjJk8tx1mtX0nu2MRQeUCYMnGXZm17A4k2EgCZElNWnI/MB1zgCkhvDmBV8ZO8dxidyBCFGfM5LmdgBVAc7tjEUGpC/DFxl2ZUrPhRRIgIDVpyVjM+XCEKIkBzBw7xXOX3YEI4W3M5LmnAZ8CcocvStMJsySont2BBIuIT4BSk5akApPtjkOEjCfHTvE8bHcQQgCMmTy3DfA5Mi2PKJ+k7Jycmcs2bJL3CxGeAFltfv5rdxwi5IwfO8Uz1e4gRGSzJjT9AmhgdywiNGTn5KzJOJx5EfDJsg2batgdj90iNgFKTVpyE/C83XGIkHXH2Cme++0OQkSmMZPnNgOWAI3tjkWEhuycnG8yDmd2wuwi3xlYvGzDpgSbw7JVRCZA1rxeswBldywipD0ydornOruDEJFlzOS5J2AmP9LgWZRLVnbO1xmHM7sC3tP89ALeX7ZhU6xNYdku4hKg1KQlPYCXicDXLvxiztgpnv/YHYSIDGMmz43HHOTwRLtjEaEhKzt71eHMzG6YvVmLOgeYF+CQgkZEJQGpSUuaAe8BEZvxCp+LAt66978emWhSBMKLmNUXQpQpMyt75eHMrB4Un/wUSlm2YVNE9m6NmAQoNWlJ4fDw0mBQ+FT1BH5sVId3npuvpXup8Jsxk+c+AFxpdxwiNGRmZa3IzMrqSfnGtpu0bMOmiJv2JyISoNSkJQbwGpBkdywirOi6NVlaI1GdqZQ6CXjrufk6qsy9hKigMZPnXg7I8AuiXA5nZi3PzMruRfm/4x3A68s2bGrlx7CCTkQkQMATwMV2ByHCh4LsRnVYHRej+not7g1MsyciEa7GTJ7bAXgF6bQhyuFwZtbyrOzsM6n493tt4N1I6hkW9glQatKSAcCddschwofDYNcJ9djsdKrTi1k9/Ln5elTAgxJhaczkufUw2y1GzJeSqLyMzMyvrOSnsslye8x2ZhEhrBOg1KQlTYG5dschwkd0FBsb1cVjGKpdKZv997n5ukPAghLh7BWku7soh4zDmcuys3POouolhYOWbdh0ry9iCnZhmwBZ7X4WIPPjCB9JiGVN/Vo0Vko1KmPTKOBlaQ8kqmLM5LmjgPPtjiOS3Jc6gl6ntuTiPt2PLHtm8iNccvbpXHZuL24cfCm7du4AYN2ar7nk7NMZ2L8PWzb9BUDGoYPcdNVlaK0DGnfG4cPLsnNy+vjwkI8u27Ap7N97YZsAAfcDZ9kdRKT66H838fxDDXlxyvHtztcsncqTdzvIztoLwLZNK3lxakfmP9ODA3v/BCA35yBvzj4/4BeSktSqxrJa1emqlEos5y4dgPH+jEmErzGT57YFnrQ7jkgzYPA1zE5/55hlN438P97/8hve/WIVfc87n+lPTQLgxZnP8ezcBYy570HSX5oDwPSnJnPL7XehVOCaax3KOLw0OyfXl8kPmLnBvGUbNtX08XGDSlgmQKlJS85AvnxsdVrX6xk4bPFxyzMO/sOWPz6jes1mR5Z999VTXHbdm/S+4FHWfz0TgK8/f5TTz7k3oBeSErjr1+arxHjVRylV0c9L2nPzdVe/RCXC1pjJc6MwS6/j7I4l0nTreSY1ah5baZBYrfqRn3Oys1BWDZPTGUVebi65OdlERUWxdfPf7N65g+69zgxYvAczMpbm5Ob29dPhGwFP+enYQSHsEqDUpCXVgVcp39gHwk+atjqL2Pjaxy3/8v076HPhZPBKbAxHFC5XDq78bAxHFAf2/kXmoX9peqKvb2oqRikOnVCXH2OiVGVLEp2YVWExvoxLhL3xQBe7gxBH/ffxh+nbuS2L3voft48dB8Dw2+9k/F238fKs6Vxz4y08/fgEbr8ncNMDHjyUsTQ3N6+vn08zdNmGTWE70n3YJUDAY0ijwaD058/vk1ijMfVPOLZ9cI+z0/j0rVtZu+JZOvcaxYqP7+fM/hNsitLkdLC1cT32OhyqqqPutgMe8UVMIvyNmTy3JxARDVBDyZh7H2Tput+46IorWTBvFgCnnJbEG4u/5JW3F/PPlk3Ua9gQrTVjhl/P3aOGsXfPbr/Fc+DQoaW5eX5PfgrNDteu8WGVAKUmLekGjLA7jrJ8tu1JZv1yBQt+v+nIsj05f/LGn6N59Y/hpP85gp3ZvwGwPesnFvwxjPQ/R3Iw718A8goyeWfTPUHTPqY8XPnZfPPF45zZ7/ix3Bo07siQ21Zx1a1fcHD/3yRUPwGN5v0FV7HotWvJOrwroLHGRvNjwzokKKV8Nd/Snc/N1718dCwRpsZMnhsLzEdKr4PWRQOu5LMP3ztmmdaaGU8/ycgx9/D81Encdvd9XHLFYObPmeGXGA4cPLQ0Ly+/r18OXrwWmAULYSdsEqDUpCUO4AVC4DW1q9Wfy1o+fsyyFTtn0aPBtVxz8ixOr38DK3aadxnr9r7Jhc0eoleDG/lx//sArN49n271rg6G9jHldnDfXxzav4mX/tuJFx5rxeFD23jl6a5kZuw8so3Wmq8/n0iv/9zPqs8mcEa/hzi18zWsW/FcwOKsFs/KujVpo5Sq48PDGsBLz83X8T48pgg/dyOTnAadzX//eeTnJZ8spuVJrY9Z/84br9L3P/2pUbMWuTnZKMNAGQa5OTk+j2X/wUNL8/IDmvwUGr1sw6aeNpzXr0qbIC3U3AZ0sjuI8mickERG/s4iSxX5BdkA5HuySHCa37+GcuL25OHWeRjKycG87WS59tIkMbSGmanXqD2jHjr6ml94rBXX/t8a4hPqHln283cvc+IpFxIbXwtXfjZKGaAMXK7sQISo69RgWXys6uun458MPA78n5+OL0LYmMlzmwJpdsdRksMH9/PJ/+aSdfgQShm0734Wnc78D7nZmSx+7QUyDuyjeq06JF99K7HxCWzf/AdL3l2AwxnFBVfdTM26DcjNyWbxay8w4MbUoL15u+PWoXy7ajkH9u+jT6c23Hb3fSz74lM2//kHyjA4oUlTHn7imSPb52Rn8+7/XmPuG2ap0A23jOb2m4YQFR3N1Bm+nWR9/4GDy/Jdrr4+PWj5GcDcZRs2derTvmWeTTH4nAqlapSSpCYtaQL8CpS3i7LtMvJ38v7mcQxpbY7TuD93C+9sTgM0Wnu48sTnqB7dgD05f7Lk36dxGtH0a3ovK3bM5PQGQ6kV08TvMUZd3TtPOR2VasD7watX889fy8jJ2kt8tQac0e9BkrofrfIrmgC58rN5a97FDLr5YxyOKLb9vZzP3hmNwxHNRde8Su16rUs6lS/kNqzDuiin8nc1lQdof9u16hc/n0eEmDGT575BEE90mpVxkKzDh6jfuDn5ebm89twjXHztKH5Zu5LY+AS69U3m26WLyc3JpvcFA/lg/vOcecFAMg7sZcvGnzjrosF8tegNWrXrSJNWbQISc+ekU5Z375zUOyAn8zMr+bG3V4jp0T7tWz5gdxC+Ei4lQE8TQslPcX7c/wFnNRrByTXO4veDS/l82xQub/Uk9eJOYvBJ5vRS/2b9aJUMaRZvfQRDOejd8FYSoo7vbWW3i695rdT1t9z39zG/R0XHc9WtXxz5vUmr3gy98we/xObNMNjTqA67DcPvyQ+Yd1ETgQEBOJcIEWMmz+1DECc/AAnVa5JQvSYA0TGx1K7XiMyMA/z9y3oGDr8bgHade7Fw1pP0vmAghsOB25WPOz8fw+Hg4L7dZGYcDFjyEy601nr/wYPLXS53MCQ/APcs27BpXp/2LTfZHYgvBH17mbKkJi3pBVxhdxxV9euBTzmpunmzcnKNPuzK+e2Y9Vpr1uxeQPcG17J613xOr389bWv+hx/2vVPc4UQ5RDn544S65BmGOjWAp73sufm6RwDPJ4LYmMlzHcAzZW4YRA7t38ue7Vtp2LQVWZkZRxKjhOo1yc48DEC3vsl88fZ8vl/5OR16ncOqT96hZ7/L7As6BGmt9f4DB5e7XO5gGtA3CnjQ7iB8JeQTIMKkdXpCVB3+zTJLPP7J+p6a0Y2PWf/rwU9oUa0HsY5quHUuSikUBi5P2FTHBlR8LN81qE1DpZT/6xKPFxbvWeETt2COGh4S8vNy+fDV6fS5eDAxsSWP01j/hGZcNeo+Bg6/m0P79ppJktZ8+NpMPn59NlmHDwUu6BCktdb7Dhxc4XIHVfJTaMiyDZvCoigvpBOg1KQl/YBgKRost4+2Psobf93Ggbx/mPvrYH7av5hzG9/B8h0zefWPm1m1cy7nNLnjyPYuTy6/HviUpDqXAtCp7kA+3PIwq3bOIanOxXa9jJBVM5Gvalenk1Kqmk0hnPPcfH2eTecWQWLM5LmJwPHjQgSpggI3ixbMoG3H0znpNHOcxoTE6mRlHATMdkLxicd+pLTWrPlyET3OuYhvvviAnv+5lLaderJ+1RdFDy8sWmvPvgMHVrrd7mBtv+QAHrI7CF8I9TZAE+0OoDIuaFb8aKEpJ88sdnmUEcsVrY6OSN44IYkhref4JbYwV1C/FitiolUwJM2PAZ/ZHYSw1a1A3TK3CgJaaz5f+DK16zeic+9+R5a3ateRX9atolvfZH5Zt4pW7Toes98va1fRsk0SsfEJuPPzzZJrpXDn5wf4FYQGrbVn3/4DX7sLCgI3n0blDF62YdNjfdq33GB3IFURsiVAqUlLBgAyz5IoF6XIaFSX74Mk+QHo+tx8HfJt10TlWIMe3ml3HOW1fcuf/Pr912z761cWPPMwC555mE2//UjXPhew9Y9feOnJ+9j6xy9063vBkX1c+Xn8um4VST37AtC593ksWjCDlZ+8RdLpfe15IUFMa12w10x+zrA7lnJQgL3D9ftASHaDT01aYgA/AoFsvBpxqtINPpg4HGxrWIccQ6mT7Y6liN+A0267VhXYHYgIrDGT544GAjfCZwQKpW7wWmv33v0Hvi0oKAi1wQa79mnfcm1Fd1JKFQDepUeva60nlXPfa4B7rF8zgRFa60p1GQ7VKrCBSPIjyiEmmp/q1aSBTY2dy9IWuB7w7YhpIqhZs72PtTsOERy01q69+/evLSjwhFryA/AocEGZWx0vR2vdsZLn3AT00VofUEpdAMwCKtWzNlSrwEKm6FjYJzGeVfVqcpJSqp7dsZTigefm61D9HIrKuQ5oancQwn5aa9feffvXFRR4Trc7lko6f9mGTT6rslNKbVZKTVZKrbEeJxXdRmu9Smt9wPr1G6DSN7chd+FNTVpyBtDd7jhEcKtdg6U1E+mplIq1O5YytADOtzsIERjWuD9BO+WFCBytdf6effu/L/B4Qn1csLsrsU+cUmq912Ow17oMrXV3YBrmIMeluQn4qBLnB0IwAapXL2ogsNfuOETQymtYh5UJsaqvCtYJh453s90BiIC5HDjurlZEFq113p59+3/weDzhcDN/0bINmypaopmjte7o9XjDa12613OJ1YJKqbMxE6B7StqmLCGVAKUPW9ukVcv427p1rZ7YuHHMCsNgo90xieBhKPY1rsfGKKcKhV4U3i56br5uZHcQIiAk2Y1wWuvcPfv2b/B4PN3sjsVHHJgDevqKLuHnI5RSScAc4FKt9b7KniikEiDMcTMchqFimzSOPbNb1xptWp8cvz4mRn2DOdGkiFBRTv46oR5ZhqGS7I6lEpzAULuDEP41ZvLc5sB/7I5D2EdrnbNn775fPB5PuA3hMmzZhk1RPjrWYK/nr4uuVEo1A94GrtVa/16VE4VMApQ+bG00xdw91aoV1bFjh+qnd0hK3F69unMZIGOsR5i4GNY1qE1d64MRqoY9N1+HSpWdqJyhmOOniAjk0Tpr9959v3m07mx3LH7QALN6t7yKtgHy7gIfo5RaDfwfMKaYfccDdYDp1r7fVTboUOoGfxFQv6SVsbGOJqe0TWhSUKCztv2b+9WuXflNtaZlAOMTNqiRyFfV4umllAql93JxWgLnAZ/aHYjwvTGT5xpIKV/E8ng8mXv27f9La93J7lj8aCjwRplbAVprRymrn9dalzhFjNZ6GDCsgrEVK2RKgDhaLFYqh0MlNG8Wd1a3rtVbnNgq7ruoKPUdJdQjipDmqVeTZdUT1FlhkPwUkvYh4es8IJRLKEUleTyew3v27f9bax0yk95W0nnLNmxqXPZmwSMkEqD0YWsTMEuAyk0pperWje7auVP1ru1PS9ycmOj4CsjyT4QikJQis1FdvouNCZppLXzl0ufm6xJLOUVIu8nuAETgeTyejD379m/RWodi28SKMoBrq3IArXULrXXAenmHRAIEXAzEV3bn+HhHy1PbJZ7VpXN1d/160cuAbb4LTQSSw2D7CfX41+lQ4dB9tKgo4IaK7qSUKihSn17ucWaUUtcopX60HquUUuF+lxpwYybPrQNcanccIrA8Hs+hPfv2/6O1Ps3uWALoersDqIhQSYDKVf1VFqdT1WjZMq5P927VT2jZIm6106nW++K4IjBiovilUV2chlJt7I7Fj26oxD5Fx9Qo15w6lsJh5ZOARzCHlRe+dSkQbXcQInA8Hs/BPfv2b9daR9qUTW2XbdgUMjdRQZ8ApQ9bW53KzTVSIqWUUb9+dI8unat3PLVdwsb4eGM5kOvLcwjfSozjm3q1aKmUCvcqolOem69b+eJAgR5WXpToMrsDEIHj8Xj279m7b6fW+hS7Y7GJT7+v/SnoEyDMi4ffZiRPTHS2aX9atd6dO1XLqlMnaimw01/nEpVTuzpLa1ajh1Iqzu5YAqRC7d0IkmHlxfHGTJ6bgNkAWkSAAo9n3+69+/Zqc6LjSBUyU/uEQgI0KBAniYoy6px0Ynzfbl2r12nWNHaVw8HPgTivKFV+g9qsSIgLqWktfKGiCVBQDCsvjhcV5TgL2GJ3HML/Cgo8e/bs3bcfaG13LDbrtWzDpmp2B1EeQZ0ApQ9bGwWcHchzGoaKatQoplfXLjVObdsm4efYWGMV4ApkDAIMxf4T6vFrdJQ60+5YbNDnufk60UfHCtiw8uJ4sdHOy6slxLRJiIveER3lWK4U3wI5dsclfKugoGD3nn37MoCT7Y4lCEQB59odRHkEdQIEdAMS7Dp5jRrOUzskVevVsUO1fbVqOpchk7AGhNPBphPqcdhhRGyPpGh8dwEJ2LDyolj9AQxDNYqJdvZOjI/plhgfTWy0c41hqOXADpvjE1VUUFCwc8++/VnAiXbHEkRCohos2BOgvnYHABATYzRs3Tqhj0zC6n9xMXzfsA61lFLN7Y7FZhVJgIJiWHlxrPHTFpwKHDdLtlIqLirK0T0hLrp3tYSYRvGxURudDmMZ8DMyaGtIKSgo2LFn3/5c8N2sA5PHj+WyPt24YcDRHGLutKe48YoLuGnQhdx1y3Xs3b0LgA3ff8eNV1zALSmXsm3rZgAOZ2Rw963Xo7Wtb6X+dp68vII9AQpo9VdZZBJW/6qewPI6NThNKVXT7liCwDnl3VBr7SjSBsh7HKDntdY9tNbdtNZ/FrPvMK11La99w22SRjuV60vA4TDaxMVG9amWEHNqQlz03ugoxwqlWA1k+jk+UQXugoLte/btzwda+PK4518ykCdmvHjMsqtuuJl5b33E3Dc/pOdZ5/DyC88C8L9X5jDhqencfPtdvP+/VwGYP+s5rhk2EpubTbZYtmFT0DcED9oEyJr89Ay74yiJTMLqU566NVlaI1H1Vkr5akbhUHeqjAod8ip8/TIMVS8m2nlmYnxMj8T46OjYGOc6h6G+Av7xQ3yiktwFBdv27ttfAPi8pLpD1+5Uq1HzmGUJiUfbFOfmZKOsOXWdzijy8nLJzc3F4XTy7z9b2LN7Fx279vB1WJUR9NVgwTyHUg8g6Ls9yySsVaMgu2FdNjgdqq/dsQShsynn5ILF0Vq38F0oohKqVJqmlIqOcjo6RznNeSMLCjx/5bsLtrndnlrAqUBpE0oKP3G73f/s3X9AUUz1pj/NeXYKn3zwDgmJ1Xh6rlnac/VNI5jy8DhiYmO5b+JUZjz1ODeNKq6m2xb9KXvoDVsFbQkQQVb9VRaZhLXiHAY7T6jHFqdDBcXtShDqa3cAonLGT1tQDx9PfupwGCfGxUT1qZYQk5QYH50RE+VYZSi1Cil9Dhi3271l7/4DDmwYMHTY7Xfx5mcrOe/CS3gn/RUATm7bjhmvvs3Tc19jx7Z/qFuvPlprHr77Nh69dwz79+0JdJjeutl58vII5gQoaKu/SiOTsJZPdBS/NaqLNgwVqaOllkek9oILB138eXClVK3oaGevhPjoXonx0QlxMc4fHA61DHNqE+EHbrd78979B6KBE+yM49zkS1n2+SfHLNNaM3/2NK675TZenvksN4xM5bwLL+PtV1+2KUoA6izbsKmRnQGUJZgToPZ2B1BVRSdhVUrq8QES4lhdvxZNlVJ++3C8OvtG7hvVgMfvPf5t9MXiKdx+nUHmYXNUg79/X8mkcR2Y8mB39uwy2wlnZx1k+hPn292TQpLD0BWwxuRKKafT6egQHxvdp1pCTMv4uKgtUU7jKwXrkDHMfMLldv+9d/+BOMCWL/RtW47mtauWfk6zlsfOlvPx+29xeu+zqVa9Brm5uRhKYRgGubm2DzkV1N/jQdkGKH3Y2trY9Ebzh8JJWFu0iPXs2eNa/c+23Bi3W3e0Oy471KrGsoQ4eiul/Jp89+h9A2edN5oFLxw7OfGBff+w8afPqVXnaO3Eko+e4sbbFrJ/72ZWfDGDAVdP5ZP3HuG8S+61uydFzefm60a3XatkrJjQ49cSoNI4DKO5I8ZoTgxorTNcbs9al6ugwKN1G6CuXXGFKpfL9de+AwerA/UCcb4JY29n/XerOXTwAAP/04uhI/+P1cuXsnXzJgxD0aBRY+544NEj2+fm5PDJ+28zZaZZ2nPltTcy/o6RREVF88DkpwMRcmnaA5/aHURJgjIBwmzgF3YKJ2GtXz+azEz3xk2bc3ZnZ3u6AbF2xxYArga1+SY6SvUJxMlOansW+/ZsPm7526/dwaVXTWb205cdWeZwROHKzyE/LxuHI4o9u/7i0IHtnNw2IKGWpR0yWF4oCorhBJRS1aOjHKdHRznQWnsKPPqnfFfB3oICT2Nk1OIyuVyuP/YdOFiLACaO45949rhlF14+uJgtTbFxcTw997Ujvyd16c6Lb3/sl9gqQUqAKuE0uwPwN2sS1jYul2fflq253+zb52oLNLQ7Ln9QikON6vK3w1C97Yxjw7r3qVnrBBo3O7ZpzXkXp/H6i7cQFR3Htbe8wnvpd5N8xQSbojzOKcAXdgchym/8tAUNsKGRbFmUUobToU5zOszCV49H/5vvKvjLXVAQrzWnERk3YuWW73Jt3H/gYF3MgUJF5UgCVAlhWQJUnMJJWFu11K5du/JX/bs9t0ZBQfi8fqeDLQ3r4FFKdbIzjvy8bD59/zFGjv3kuHVNmnfkzgfNWSL+/O0rqtdsBFrz4rSrcDijuCxlCtVrNAh0yIXa2XViUWm2vtfLyzBU49gYZ2NworXOdrk9a1zugjyPR7cGbHvDB4P8fNdv+w8ebADUsjuWENdu2YZNjj7tWxbYHUhxgrURdNiXABV1zCSsbRN+jo01VhLiDRhjo/mhYR2qKaVsHxdp7+6/2LdnE5Pv78hDd7Tk4P5tPPlAFzIO7jyyjdaaT96fyPmXPcBH704g+fKH6NrrGr769Pgi6QCShtChp4XdAVSUUio+2pqeIzE+un5cbNRv1vQcvxBhw3nk5+f/sv/gwYZI8uMLscBJdgdREikBCkI1qjtP7ZBUjbw8z84tW3N+O3DAfRoh1nixWgIraiTQXSkVbXcsACc0bc9jz+868vtDd7Tkroe/JbHa0T/rmhUvc2qHZOITauHKz0YpA6UM8vOz7Qi5kJQAhZ6gq/6qCKWUcjpUW6fDaAvg8ejdLnfBRpe7IEZrTsXGCar9LS8//+cDBw81AWrYHUsYaQ/BOX9m0JUApQ9bW40Q+7L3l5gYo2HrkxP6htgkrLpuDZbWTFRn2pn8vDT9av47oRe7dm7kgf9rytfL5pa6fX5eNqtXvELvc0cCcPb5Y5j73EA+ePM+zjxnRCBCLkn95+br2nYGICospBOgogxD1bdmsu+eGB/tjI1xrrWm59hmd2y+lJefv+HAwUNNkeTH14K2QCMYS4Aiuu65OIWTsDZpHMuBA671W7bm5Obl6e4EWQKrIKdBHdZHOVVfu2O5YeRrpa5/6Kljx4uLjonn9nuXHPn9xDa9ufexH/0SWyW0A1bYHYQot7BKgLwppWKinI4uXtNz/JHvLtjudntqY37RBdU1qbzy8vJ+PHAooyVQrcyNRUUF7ZyGkgCFmFq1ojrWqhVFbm7Btk2bc//KyHB3JAjuWAyD3Y3qsMcwVE+7YwlDLZEEKJSEbQJUlMNhnBznME4mBjxa73O5Cn5zuT2G1rodQXBdKo/cvLz1Bw9lnEwYV+3ZLGh70UkCFKKCaRLWaCe/169NglIqaIs6Q1x1uwMQFRIxCZA3Q6k6MdHOM2KiQWvtdhd4vne5CjIKPLo5QdowPDc37/uDGRltgHi7YwljkgBVgCRAFVA4CWuzprF63z7Xd1v/ycXl0l2AgAxhHB/Lt7Wr01YpJUXH/iMJUIgYP21BLaQkAaWUM8rp6HSkqszj2exyFWxxuz01tNnL1/bvnpzc3LWHMg63A+LsjiXMSQJUAUFbXxjMCidhrVs3muzsgk2bNuf8k5lZ0AU/XoxrVmNZYhxnKqUc/jqHAKRdQiiJyNKfsjgMo4UjxmhhTc9xyOUu+MXl8ng8Wp8CBLyRf05u7neHMg7L4I+BIQlQBUgJUBVZk7C2dLv1oX/+yV22Z29+K61p6sNTuOvXYlVMdGCmtRCSAIUQuYErg1KqRnSUs2d0FOb0HAV6Q767YH9BgecEAjA9R05O7reHDh9OAmL8fS4B2JDglpckQGHMH5OwKsWhRnX40+FQZ/koTFE2qQILHfKlWgFKKcPpVO2dziPTc2zLdxX87S4oSLCm5/Dp3zM7J2dNxuHMjkBQjE8WIRKXbdgU3ad9y3y7AykqGBOgiK8/9zVfTcLqdPBPwzrkK6Vsm+k6QkkJUOiIsjuAUGYYqklsjLOJNT1Hlsvt+cGanqMNVSxdy87JWZ1xOLMz8j+yQx2CcFLnYEyAQnIciVBR2UlYY6LZUK8mjZRSvqxKE+UjCVDokJIFH1FKJURHObpbM9nrAo/+xeUq2OMu8DQA2lCBjh5Z2TlfH87M7EZwfudFAkmAykka1AZARSZhrRbPyhqJdFVKSfG+PaQKLHRI6YIfWNNztPOayX6ny13whzU9x2mU0o09Kzt71eHMrO4E5/ddpKhpdwDFCcY3hJQABVDhJKyNGsVwKMP98+bNOQdzcz3dMS/kuk4NlsbHqr72RhnxpAQodEgCFACGoRrGRDsbxkQ70Vrnut2e7/LdBdkejz4RaFy4XVZW9srDWVmnIzfWdgvKCXUlARJHHDMJ65acX2vVI0tFq352xyUkAQohkgAFmFIqNirK0TUq6tjpOTIyDu/evnt3a0MZvxuGilLKiDKUilKGijKUilZKxViPgIyZFuE8dgdQnGBMgCRTt1lMjNHwtJ7N/nAanmoF9XAAmwo87Ha5ycnLJzrPRV2Xm+ZIj5dACcqLhyiWtAGymTU9R5MDB/ftdBW4s6Oiok4pYxcXkAfkWw+XUsoFuJXCrVBulHIrRYFSqkAp5TGU8iiltFLKYxgGSiltKIUyDAyllGEYyjCUoZShDEM5DGUYhqEcylBOQxlOw1BOpQznsQmZEa0MFWPYOIm0HxXYHUBxgjEBkhIgmzni45fF1K/fR+8v2O9poDNxqJZOBy2dDoizUh6tKcA7MXIRnZ9PnXw3LZDEyNcy7A5AlJuUAAUBpfhWKXVWVmZGRkJi9Z+joqJKm6YniiL/N6219Qw21N5ozESsMClzAflKKTdmclaYmBUmZAXKTMg8SiltGEqbzwZKKQwzDcMrITMMw3AYSjmU9WwlZFHms4oylBGllIo2jCMlZVXNFYLyJk4SIHEM5XSuiWvWrDeAgtqObflLC5rH9D1uO4UDKCkx2mwlRtleiVFzZNTVyjpkdwCi3Nx2ByDwOJ1Gc+vn6lmZGU0TEqv9FBUVfZqtUZWfwryJPOZG8mhSZktzGg/HlpLlK3ChlEtBYQmZWylVYCVmZkJmKI+hlI6LjcmjvS1TVZYqGBOgTLsDiFhK/Z7QqlU7pdSRJFQd9vQg37ODaKNR+Q6BA2jhdNCiSGLkAbYUeNjpcpOb58KZn09dl5tmWubiKYuUAIWOA3YHIPjWUKqH1+/VszIPN09IrLYhKiq6vW1RhTYD8zp95FptFo7pI8+lyc7JzfVjbJUWjAnQfrsDiFB7Elq1SlAOR6L3QgVxzq35a90nxZYrASqJUhhAc6eD5sUkRlutxCgn34Uzz0Udl4vmkhgdIQlQ6JAEyGZRTqO4LvHVsjIPt5AkyDZZdgdQHEmABEBuXLNmu43o6OLryXN1L5Xj+UPHGT6fp8dKjJo5HTQrZ2LUTJcy5keYkgQodMj1y14/GoZKKmFdtazMwy0TEqv9GBUVXdI2wj8kASonuYAEWEz9+uucCQm9SlqvwHBsyTvobhu4ApkyEqN/CjzssBIjh1diFK7TqEgboNAh1y8bOR0qp4xNErMyD7dKSKz2Q1RUdIeABCVAEqBykwtIADmrVVsWXadOmbO6KzfdVEbBel3d0TEAYZUch5kYNXU6aFokMdLAtgIPO9xm42tHnovaVlVaqCdGUgIUOqQKzD6bDEN1L8d2iVmZh09MSKj2Q1S0JEEBkDFqUL+g7BwQjAnQPrsDiBRGdPSquCZNykx+Cjm25Ue7T4nVBOHAYUqhgCZOB02cDog9NjH61+Nhu9UrzZHvona+m2Zak1jaMYOIJECh4wBm+9Cg+4yEO4ehtimlytvVKDEr6/BJCVRbHxUd3dGfcQm22B1ASYIxAbKtBGhf5k5mfPUgB7P3oZTBOW0GcMFpKWTmHeLZJfeyJ3MH9RIbcfs5k0iMqc7GXeuZt3ISUY5oRp89kYbVm5KVd5hnv7yXtP7PBWOecJRh/BzfsmXniuyiPLQz9hWs8tR1llhdFmysxKixw0FjR/GJ0Q6XmywrMaqV76Z5ECZGUgUWIiaMHlIwftqCDKCG3bFEmD0Oh+pWwX0SsrIOnyxJkN9ttjuAkgRjArTXrhMbhpNruo+hZd225ORnMe69a2nfuAdf/fEBp53QnUs63MD7P7zEBz+8REr321m84VVSz32CvZnb+fzXhQzpMYZ31s/hsg5Dgzv5gX8TWrWqrwyjwuPyGDtdjT11HC6UCukB38qVGBWQle/CkZdPLavEyK4pKQ7adF5ROfuRBCigDEP9rJTqW4ldE7KyDreOp9r30dHRnXwcljAFbQlQMA46+LddJ64VX5eWddsCEBedQOOaLTiQvZu1W5fR++SLAOh98kV8t3UpAA7Diasgjzx3Lg7Dya6MbezP2s0pjbrY9RLKIzO+RYssIyqqXmV2VtDc2OH62tdBBQulUErR2OGga2w0faoncGa9WpzauB7VGtdje6M6rK1bk2XVE1gRE8VPSgWkempTAM4hfGer3QFEmCynQ1WlLU98dtbhtvn5ed/7LCLhLWgToKArAUqZ02VH+rC1h7F5Asg9h7ezed9GTqx3Gody9lMrvi5gJkmHcsx2jpd0uIE5KyYS7YxhRJ8JvLr6aQZ1GWFn2GXxxDZq9IsjLq48DQVLZOwvONXTQGfgUNV9FVgoUIoTHA5OcDggNpojTau1ZofHw3ZXAZlWiVENq8TIF6UAGvjDB8cRgfMrUO62daJqlOI7pVRV/95x2VmZbYF10dExFWoaIMq02e4AShJ0CZDld8C2YpRcVzb//WIs155+J/HRJTcHaVGnDRMueQmAX3eso1Z8PUDz7JJ7cRhOhvRIpUZcncAEXQ5RNWsuj6pZs8oXZgV1HNvylxU0j5GLPKAUjRwOGpWQGO1wFXA434WR56JmvqvCidG/t12rsv0Rt/CbX+0OIIIUOJ1GKx8dKy47K/MUYG10dExQF+OHGCkBqqCN2JQAuT1u/vvFWM448Xy6tzgHgBpxtTmQvZda8XU5kL2XGnG1jtlHa8276+dy2zmP89LXT3BF51vYm7mdj39+ncFdR9nxMo5jxMYuj23UyGcJizrs6YbLs5Moo6GvjhlujkuMLFqz06PZ7nIfSYxq5LtoXkJiJKU/oUcSoABRsMZQqqcPDxmXnZV5KpIE+ZIkQBW00Y6Taq2ZtXwCjWu25ML2Q44s79ysD8v/WMQlHW5g+R+L6NLs2Dziqz8W0bHpmSTGVCffnYuhFAqDfHdwTH+iHI7v41u0ON2nx4R4x5b8tQUnxUoCVEFK0dChaOiIPi4x2uXRbHe7ychzYeS7qJHv5gf7IhWVJAlQgDidhj8am8daSdB30dExXf1w/EiSPWpQv912B1GSYGwEDTYlQBt3/cCKPxfz8/Zvufedq7n3nav5/p8VXJJ0PRv+Xc2YNwew4d/VXNLhhiP75LlzWf7nIs5rNwiA5NOu4ekvxvL6d9P4zykD7XgZx1Jqc8KJJ7ZUfui1pXJ1L3I8f/n6uJFKKRo4DDrFmI2ve9etSdIJde3rFCAqZ8LoIduQSZ0DYb1hqHZ+OnZsdlZm+/y8vO/8dPxIEdTfD1IC5KVtw468dlPx7/dxyTOKXR7jjOX+5Be8jtGJyZe/4Zf4KuFgfMuWWjkcNf1xcAUO59b8fe42sSf64/gCgPV2ByAq5TdASg/8yOlQLj+fIiY7O7M98F10jJQEVdIauwMoTbCWAP0OeOwOIsS5Yxs33uSIiSnvyKiVoly6u8ookGoa/9AgVWAhSqrB/OtPw1CBSEpisrMz2+fn5X4bgHOFo2/sDqA0QZkApczpkg38ZHccoSy6Tp2vo6pXD8jAXo5t+cFakhjqNg/or2QajND0s90BhDOHQ+1UgRttNiY7O6tDXl6u30szFkyfStqwK5l45/Ajy96ZP5tHUm/isbtuZdaTD5OdZdau/vXbzzx21608ce9t7Nn5LwDZWZlMm3gfWmt/h1peQT1mXDB/cX0NJNkdRChyxMcvi6lfP2Bd1JWHU4197m88dZw+bWgtpPorhK20O4BDB/bx3vwXyMw4hFKKzmecTY++/fly0UJ+37AOpRQJ1apzyZDhVKtRi3/+/p3Fb7yEw+nk8htGUbteA3Kzs3jrxee5euTdwTS6/U5H+SY99aXonOysjsCamJhYv5379L796HP+Jbzy/JNHlrVN6swlV9+Iw+Hg3QVz+PSd17lsyDCWLHqLYXc+wL49O1n+6SIuv+4WPn7rVfoPuCpY/leHgF/sDqI0ZSZASqkCYIPXote11pPKc3BraPL3ODqS7dta6wnljO0b4JZybissyulcE9esWe9An9fY6WrkqR36U2QEmbV2ByAqbQ2QDcTbFYBhODhvwNU0atqCvNwc5jwxnlZtTqPXuRdy9kVmB401Sz/hq4/e5cKrhvL1Fx8x8KbbObR/D2uXf8F5l1/N8o/f48x+FwfLFyoAhqF+q+S0F1Xl9yTopHbt2bd75zHLTulwtDd+y9an8P03ywFwOBy48vNw5eXhcDjZs3M7B/fv4+R2QVNu8O2oQf2CpiiqOOWpAsvRWnf0epQr+fGy3Gvf8iY/AKsqeB6h1O8JrVq1U0oFvGpTaZobO91BXdwZgj61OwBRORNGD8nH5mtYtRo1adS0BQAxsXHUbXgChw/tJyYu7sg2+fl5FOY2DocDtysfV34+hsPB/j27yDi0n+Ynn2JD9CU67HQoO+fsis7JzuqUl5e72o6Tf73kE9p1NOd87TfgKtJnPcOXi9/hrPMv4YPXX+KiwdfbEVZJgrr9D1ShCkwptRl4AzjbWnS11vpPXwQFkDKny+/pw9buABr56phhbk9Cq1YJyuGwbSZzY5/7FE9952EcytZpTMLEHkC64Ia2L4H/2B0EwMF9e9i5bQuNm58EwJIP3mTDmhXExMVx7W33AXBGv4v58PV5OKOiuezaW/ns3dfoe2EQDOXhRSnW+WDai6qKysnO6gx8ExMTG7Bq/4/ffg3D4aBbb3OA3iYtTuSuic8A8OcvG6hRqw5aa+b9dyIOh5MB1w2nes1apR3S34I+ASpPSUGcUmq912Ow17oMrXV3YBrwdAn791RK/aCU+kgpdWoF41tWwe0jVW5cs2a7jOjoxnYGoaCe4998qbbxjU8G9FdBXXwsyrTU7gAA8vNyeXPus/S7/JojpT/nXDyI/3vkGU7r2otvv/oMgIZNmnPjnQ9x3e33cWDfbqrVqAVo3po3jXdenkFmxiEbXwUA7iincbLdQViicrKzuuTl5QbkS/6bpZ/x09o13HD7PcdVR2qt+fjt17jgiqv5aOECkq+8lm5nncPSj94NRGilCYsEqGgVmPcgN+lez8UNR74OaK617gA8B7xbwfiWVnD7iBRTv/46Z0LCaXbHAaAyPN1w6V12xxEGPrI7AFFl3wJZdgZQUODmzTnP0r5rL06xqk68nda1F7/9cGwPb601Kz55j97nX8ZXH71Dn+TLad/tDNYss7dGVsFqpdQJtgZxrKic7Kyuebk5fq36/2X9t3z+3v+45Z6HiI6JPW796mWfcWrn7sQnViM/Lw+lDJQycOXl+TOssvw6alC/fXYGUB5VbSuiS/jZXKB1htY60/p5MRCllKpbgeNLG4gyOKtVWxZdp04vu+MopCDBsTXvd7vjCHEe4BO7gxBVM2H0EBewwq7za6354NU51G14Aqefc8GR5d6NbH/fsI46DY7NKX5cvZyTTu1IXHwCrvx8lKFQSuHOt/ULFafTqMh3R6A4c3Kyu/kqCXrx6ceZev8Ydm3fxv23XsOqJR/zv7nPk5ubzbRH7uXxu0eQPuuZI9vn5+WyetlnnNXvYgDOuehy5kx9hPdfm8eZ/S7yRUiV9Z6dJy8vVdZ4AUqpTK31ce1KrDZAM7XWk5RSQ4DBWuuLi2zTENiltdZKqe7AQswSoXIX7acPW7se6FDe7SOJio5eldCqVc8AjodRLhoK3CfFbCHWZ7M0R5pvBvT36QSPwibjpy1IAx6349xb/9rIy08/Sv0Tmh6pNjn74kGs/3oZ+3bvQCmDGrXrkDx4KNVr1gbAlZ9H+sypXDNqLA6Hk61/bmTx/wq7xo+kTn3bmmSujYl2BPPkpO64uPhvY2Lj5HNr6j5qUL+gHzyyPAlQ0W7wH2ut06wE6EUgGbMkKaVoI2il1GhgBOAGcoA7tNYV6hmRPmztA0BFeo9FBsP4OfHkk09UhnF8mWgQ0FFqjbuN/8bLCHMPDuiv5D0fBsZPW9ABGc+pypwOtdbhMII5AQIoiI2LXx0bGxc0JfI2+WfUoH7N7A6iPMqsAtNaO4q0AUrzWv281rqH1rpbcT3AtNbTtNanaq07aK1Pr2jyY3m7EvuEu+0JrVrVC9bkB6wpMg4X/Gh3HCFK2v+EiQmjh/yATItRVRtDIPkBcOTmZPfIzc2J9CFc3rE7gPIKyqkwvKXM6fIzNk2OGqQy41u0OGxERdW3O5CyOP7J90vV3LSnbuSGwQ34v1vaH7fu3YVTuPx8g4xDewH49eeVjLm1A3ff1p0d280cPSvzIBPuOz+Yhov3Jt3fw0962ZuIkjgcaq/dMVRAYRJk+0jgNgqZQotKJ0Ba6xZa60C9MUPmD+pnnthGjX5xxMW1sTuQ8lAe2hv73D7vCnn2eTfwwKPHF5Ls3fMPP677nLr1j5a+vv/WU9z9wEKuGTqRjxfNAOB/rz3CFVfdG1Sj23qR7u/h5zW7Awhh2x2G6mF3EBXkyM3JPj1Ck6DdwHK7gyivoC8BskgCBETVrLk8qmbNkGpXY+x0NUBrty+PeWr7s6hWrfZxy+e9cAfXDpuM4mhi43BGkZ+XQ35eNk5nFDu3/8X+fds5NcnusdRKJO/1MDNh9JC/MKfGEBVkGOoPpVQwz1lZEkduTnbP3JzsSEuC3h81qJ/H7iDKKyQSoJQ5Xb4DNtsdh52M2NjlsY0aBe23dkmUpqWxy/9TZKz5+n3q1DmBlq2O7TB4xeA0Zjx7C4veeYYLLh7Nqy/fT8p1Qdu++F/gfbuDEH4h1WAVd8jpUJ3tDqIKjNzcnJ65Odm2DYVgg7fsDqAiQiIBsrxodwB2UQ7H+vgWLUJ2pnVjr7stBeZ4UP6Ql5vNW68/xlXFJDYtT+zI5Ke/ZsITS9i1829q124EWjPlsat4evK1HDwQVGM2zh7QXxXYHYTwizcwx3cS5WQo1isV8tPqGLm5Ob0iJAnaCyyxO4iKCKUEaDZmd/rIotTmhFatmqsQnmXdnCLD5bcpMnbu+ItdOzdxx4iO3HJdS/bt3cZdo7twYP/RAd+01ixMn8igqx/gjVcncNW1D3HWudfw4XvP+iusinIDs+wOQvjHhNFDdiAj21dEvtNphERbx3KIlCToxVGD+uXbHURFhEwClDKnyw4qPpVGqDsY37KlVk6nrTPa+YLKKOiCS+/xx7Gbt2zPS2/s4oVXNvHCK5uoU7cJU6atpVbthke2+fKzl+nSPZnEarXIy8vGUAaGMsjLy/ZHSJXx7oD+aofdQQi/WmB3AKFCKdZYA+mGCyM3N+eMnJzskGkgXEEaeMHuICoqZBIgy3S7Awggd2zjxpscMTEt7Q7EFxQkOrbm/eaLYz31+NWkjenF9m0bGTakKZ9/PLfU7fNys1n6+Sucf9FIAC65fAxPPDqQBS/ex/kXjvBFSL4ww+4AhN+lY1YTiNJpp8MIp+SnkMrLzTkzTJOgT0cN6veX3UFUVJkjQQeb9GFrfwFOsTsOf4uuU2d5TP36ve2Ow5c0uN0nxfxDrBEWSZ0P/Tagvwr797SA8dMWTATuszuOIPdtTLTj+Jlbw4eOiY1bERcXH07X98tGDeoXEvN/eQu1EiCIgDtlR3z8snBLfgAUOJ1b8oOq1XGQCPv3tDhiOuCyO4hg5nQaIdvesZzMkqDsrK/sDsRH/gI+KM+GSqkCpdR6r0da2Xsd2fdSpdSP1n7fKaXOrHTEllBMgF4BsuwOwl+U0/ltXLNmYZf8FFIufbrKLNhQ9pYRIxt42e4gRGBMGD3kX+BNu+MIYr86DNXR7iACQOXl5fYOkyTo6QqM/ZNTZGqtSRU4zxdAB611R+BGYE5FAy0q5BKglDldDmH2CAs/Sv2R0KpVW6VUyP1fKsKxNT+06l3967UB/dUhu4OIRFW8G+2rlDrkte/4Cpz6iUqEGxEcDnXA7hgCKBySoAP4YIgapdRmpdRkpdQa63FS0W201pn6aJudBMyG11USql+0kzDvnMPJnoRWreKUwxHq416USXlIUvvdMjKu+QGeZncQEawqd6MAy732LffomtYEqYsreK5I8E8ITntRVSovL/esEE6CXhg1qF9FamTiitx0DPZal6G17o55TXy6uJ2VUgOUUr8BH2KWAlVJSCZAKXO67CK8eoTlxjVtutOIjm5idyCB4tjhqovWkT7o3xsD+qsf7A5CHKs8d6M+8JgfjhnSHIb6WynlsDsOO+Tl5Z6VnZ21zO44KigDmFrBfYredLzhtS7d67lncTtrrd/RWrcFLgMeqWjARYVkAmSZDPhtdOFAiqlff50zMfH4qc3DmNK0Mna5V9kdh43ygHvtDiLCVeluFOiplPpBKfWRUurUipx4wughK4FQvev3hwMOh+pqdxB2ys/L7RNiSdATowb18+WwDrqEn4/fUOuvgBOVUnWrcsKQTYBS5nTZCzxndxxV5axWbWl0nTq97I7DDsZed2s8OmwbtJdh2oD+arPdQUS4qtyNrgOaa607YF6H3q3E+cfig3YM4cBQ/KCUSrA7DruZSVBmKCRB/wJP+fiYg72ej5s/Uil1klJKWT93BqKBfVU5YcgmQJYpmMVwIUlFR6+Kbdw45CY49RUFDRz/ur61Ow4b7AcetTsIUapS70a11hlam/Pbaa0XA1EVvRudMHrIauC1KkUZHvKcTqNCJWjhLD8vLxSSoAdHDeqXU4n9ipa6ere7i1FKrQb+DxhTzL5XAD8ppdYDzwODvRpFV0pIJ0Apc7rsp+Ti6eBmGD8ntGzZuTCjjVTqkP+myAhijw7orw7aHYQoVVl3ow297ka7Y15LK3M3mkb4deioEGvai3p2xxFM8vPy+mRnBW0S9DPwUmV21Fo7ipS6eve8fF5r3UNr3U1r/Wcx+07WWp9q7ddTa13ludVCOgGyTAG22x1EBW1PaNWqnjKMWLsDsZuCao5/8n+1O44A+hvz7kXYryp3owMx70Z/AJ4FrqrM3eiE0UO2YV7DIpV2OoyI6fxREfn5QZsEpY0a1C8sOrCE3FQYxUkftvZK4I0yNwwOmfEtWvzriIsLl5mOq0yDy31SzHZijeZ2xxIAgwf0V/+zOwhRMqXUZqCr1jog83aNn7YgAdgINA7E+YLMmphoR3e7gwhm0dExS+MTEvvaHYdl2ahB/fraHYSvhEMJEClzuvwP+NTuOMrBE9Oo0S+S/BxLQZRza34kzIT+jSQ/oqgJo4dkEaHzgzmdUgpelvz8vL7ZWZlL7Y4Dsy3c3XYH4UthkQBZRgG5dgdRmqiaNZdH16wpdzvFUPn6dJVZ8LPdcfjZXXYHIMqmtW4RqNIfL/OB7wJ8Trv95DBUkt1BhIL8/Ly+WfYnQS+OGtQvrDqthE0ClDKny5+YI0QHJSM2dnlso0YR2+OrPBz/5LvtjsGPXh/QX620OwgRnCaMHqKB24DyzqkU8pwOFRbjuAWKKz+vb1bW4aU2nX4rxbeFC2lhkwBZJgF/2B1EUcrhWB/fosXpdscR7FQBHdSBsJwiYycw2u4gRHCbMHrIN0TOPGGbDUNJaXgFufLz+2ZlHl4a4NNq4KZRg/qF7JAzJQmrBChlTpc8YKTdcRSxJaFVq+ZKqSi7AwkFju2uOmE4RcbNA/qrKg3YJSLGeGC93UH4m8NQWwMx6fPbL7/A43fdyrMPjz2ybMc/W3hh0niee/ge5k97ktwccxSCLX9u5LkJ9zDjsfvZt3snADnZWbz0zOMEU2chlyvgSdALowb1+zyA5wuYsEqAAFLmdPmc4Jlg8lB8y5Ye5XTWsuPkz7xxK0MebM6oJ4+OML9p+4/c9dzZjJ7SjQlzB5Kdayb1v2z6mtumdmfM073ZvvcvADJzDjJ+1iUB/fArzYnG7rCaImPegP5qkd1BiNAwYfQQFzAEc6qUcLXX4VDdAnGiTj3P4vrb7zlm2bvzZ9Pv8hRue3Ay7Tp1Y8Wn5sdz5WeLSbkllfMuG8yaZeb3/dIP36HPBZcRbMO1BTAJ2kSYNXz2FnYJkOUuwO5JJt2xjRv/5YiNbWlXAOd2HcJDN797zLJn/zeK65MnMO2ub+nZ/mLeXvo0AO8ue5Z7r3uN65If4qNVswF447NJDDr37oB/+I097pPx6HAYHG4LkGp3ECK0TBg95GfCuFeYYaiflFJxgThXy9anEBefeMyyvbt20OLktgCceEp7fv7ebNdrOBy4XS5c+XkYDgf79uwi4+B+WrY+JRChVpiVBPlznCANDB01qF/YttUKywTIqgq7ChtHWI2uU2dVVPXqne06P8BpJ55Jtfjaxyz7d88fnNbqTAA6tj6XVT++B4DDEUWeK4e8/Bwcjih27P2bfRk7aH9i74DHraBhGEyRUQAMGdBfHbY7EBGS/gt8aXcQfpDjdChbJ36uf0ITfvthLQA/r/2GQ/vN2uk+F1zCuwvmsOqLjzn97H58/u4bnHvJIDtDLZPLld/HjyVBz40a1C8YB2L0mbBMgABS5nT5DbNXRcA54uOXxdSvf5Yd5y5L84btWP3zhwCs/OFt9h7aBsCgc+7k+YW38f7y57nojFuZ//HDDOn/gG1xqkMFnXDrUG438+CA/qrKQ7WLyGT1CrsBOGRzKD6lFN8qperYGcPl1w/nm6WfMX3ifeTl5uJwOgFo1LQFt6ZN4KY772f/nt1Uq2G2XHh91rO8Ofd5MjOC81/hp+qwP4B7fXzMoBO2CRBAypwu84DXA3lO5XR+G9esWeCLTcrp9sEz+HDVC6T+9wxy8jJxOqIBaNW4A1NuX8pjIz5i575N1K7eEI1m8vzrmPrajRw4vCugcSqo7tiaH6rjAn0OPF7ejZVSBUWmZEgre68j+16qlPrR2u87pdSZlYpYBJ0Jo4dsxRzfLFx4nE77R3uv17AxQ1PvZeS4x0jq3ova9eofs15rzdLF73L2hQNYsugtzr3kCjr0OJOvl3xsU8Rlc7ny+2ZmZiz10eEOAwNGDeoXDs0QShXWCZDlFsz5l/xPqT8SWrVqG4jeDZXVtH4bHhn+AU+PWclZnQbRsM6xTZS01rzxxWSu+k8a6Z8+xtX9x9G381V8sGJGwGNV2Z6e5Hm2BPzEVbMLs+qrIuO55BSZILAi41l9AXTQWncEbgTmVGBfEeQmjB7yKmZ1WDhYYyhlewJUWJLj8XhYuvgdup/1n2PWf//1V7Rp35G4hERc+fkoZaAMhSs/345wy83tcvkiCfIA14wa1C9Ubz4rxGl3AP6WMqdLRvqwtQOB5UCCH0+1J6FVqzjlcFTz4zmq7ODh3dSsVh+Px8Mbn0/mgp43HbP+i+8W0O2U80mMr0WeKwdDGShlkJcf+JsBBVHOLfn/ulvH2n7RLCc3cM2A/sonxWXWnFRvAGdbi64uOkuy1tq7gWICZsNFEV7uAloDF9odSFVEOY2AXxvfmPMcmzb+SnbmYZ64ZzTnXHwF+Xm5rF76GQDtOnWjc6+j49Pm5+fx/dfLuSHVLIQ94z/JpM98GofTwZXDbGlRUSFul6tv5uGMpYnVqvet5CEeGDWo3we+jCmYhcVkqOWRPmztxcC7+KfUKy+uadPfnYmJtjbuK+rJBdez4a/lZGTto2a1+lzd735y8zP5cOUsAHq2v4Trkycc6eWVm5/NhLlXMGH4+zgdUfz890pmvJ2K0xHN3UNeonG9kwP+GjTogpbRv+oER7uAn7zibhjQX71c0Z2UUgXABq9Fj2ut37ASoNla64lKqeuAK7XWFxWz/wDMKrf6wIVa668rF74IVuOnLagGfA2cancslfRDTLSjg91BRAqnM6oySVD6qEH9rvZHPMEqYhIggPRha28HnvH1cWPq118ZXafOGb4+rjBpB+vdp8R1tDuOMtw3oL8qd7sfb0qpTK11YjHLNwPnaK3/tgbS3Km1LrEBqVLqLGC81vo/JW0jQtf4aQtaAquBenbHUlFOh1rjcBgy8nMAOZ1RyxKrVS/v9EvfAWeNGtQvx58xBZugbaviDylzujwLPOfLYzqrVVsqyY9/qQI6qgPuYO4W/1xlk59y0CX8fPyGWn8FnKiUquunWISNJowesgm4HAjuxijH+8swAjPwoTjK7Xb1yTycUZ5u7DuByyIt+YEIS4AsqYBP6jhVdPTXsY0bywSnAeDY7qqJ1sE4UeSb+Heww8Fez8dVbSmlTlJWHaZSqjMQDYTy8AGiFBNGD1mB2bEjZDgMtUMF21DKEcJMgg6VlgTlYSY//wYqpmAScQlQypwuHiAFWFelAxnGLwktW3aUD3ZgKM3Jxp6gmyJjGXBtBXt8FSeuSDd4715gMUqp1cD/UfxszFcAPyml1gPPA4N1JNVrR6AJo4e8BDxqdxzltDtQ016I4rnd7pKSIDdw9ahB/VYHOqZgEVFtgLylD1vbEHOk1baV2H17wkknOY2oqPplbyp8RcMOd7vYmhiBGUa/DBuA3gP6K7+Njma1Aeqqtd7rr3OI0DV+2oLHgXKPGWUHw1BLo5xGX7vjEOBwOpdVq1ajsMbCAwwZNahfup0x2S3iSoAKpczpshPoC/xawV2z4ps3PyzJT+ApaOTY7gqGu5WtwPn+TH6EKMuE0UPuBSbbHUcpMp0O1dHuIISpwO3uc9gsCfIAwyI9+YEIToAAUuZ02YWZBJV30CdPTMOGPzni49v4LypRGnWwoBNuvd/GEPYB/Qf0V9v9fSKtdQsp/RGlmTB6SBpBmgQpxVqlVE274xBHFbjdZ2VlHh46alC/F+2OJRhEdAIEkDKny27MgeY2lLVtVM2ay6Nr1erh/6hESRTUcPyTX+b/yk+2AmcN6K9+s+n8QhzHSoKesDuOIgqinMaJdgchjqGBW8YOveIVuwMJFhGfAAGkzOmyBzgH+LGkbYyYmOWxjRpJj68goLI8Pcnz/BPg0/4I9BzQX/0S4PMKUaYJo4fcQxAlQQpWK6Wa2B2HOMID3DRueMpsuwMJJpIAWVLmdNmLmQR9f9xKh2N9fMuWpwc8KFEsBdHOLfmBTIC+wGzw7PdqLyEqy0qC/DUeVYU4nUYtu2MQR+QAV44bniLVXkVIAuQlZU6XfUAf4COvxVsSW7Vqbo3EK4JFvu6psgoq2oC9Ml4FLhjQX2UE4FxCVMmE0UPuA4YDLhvD+N4w1Ck2nl8ctRs4e9zwlLfsDiQYSQJURMqcLoeBi4EXgEPxLVt6lNMpdzNBRoFybM3P9fNpJmOO82Pnl4kQFTJh9JDZQD/Als4CTocqsOO84ji/AaePG54SDD1ng1LEjgNUHu8+tOtWZ7VqzyOJYtByN4n6Ttd0dvXxYT3A7QP6q+d9fFwhAmb8tAUnAYuAQPZa/SMm2hH4WZNFUUuBy8cNTzlgdyDBTL7YS3HZQw1mAhcBMt5LkHL866ru4ykycoGBkvyIUDdh9JA/gdOBzwJ1TodD7QrUuUSJ5gP9Jfkpm5QAlcOiqdltgPcI7J2UKKeC+s4VnvpRZ/rgUJuAlAH9lRQZi7AxftoCJ/A0MMrPp9oRHWXUlfaStskD7ho3PGWa3YGECkmAymnR1OwE4BngJrtjEcfSsN3dLrY2hoqtwmFewqz2OuyjsIQIKuOnLbgJ8xqW4I/jy7QXtvoDGDxueMrxvZhFiSQBqqBFU7MHAbOAmjaHIrx4ajmWFTSOrsw4TfuB4QP6K+klIcLe+GkLTsSsIunp40NnREcZKKWq+/i4omwLgBHjhqdk2h1IqJEEqBIWTc1uhtk92hfVLsIHNBxyt4314FQV6bH3KTBUxvcRkWT8tAUOzElUHwR8Ul2lFMuioxwyUGxgZQGjxw1PecnuQEKVJECVtGhqtgO4H3gAcNgcjgA8CcaygpYx5bkI52J+ATw7oL+SD4CISOOnLeiMWXpQ1TF7XNFRxl6lVCMfhCXKZzUwdNzwlECMhRa2JAGqokVTs7sAMwFfd8UWFaQhz906Zg/RRmlD8K8Hhgzor8o7Aa4QYWv8tAVxmONdjQZUZY6hFCujoxxn+DQwUZIM4D5gxrjhKb7s/RqRJAHygUVTsw3gVuAxoIbN4UQ0HaNWuk+OLe5iXABMBR4Y0F/lBzgsIYLa+GkLzgGeA9pVdN8op/G7YajWvo9KFPEWcPu44SlSZe8jkgD50KKp2Q0wv2SvsTuWSKVBF7SK+V3HG95DFnwC3CETmQpRMqu7/K3AQ0Cdcu72XUy0Q0q//WsrZlufD+wOJNxIAuQHi6Zmnw1MB9raHUsk0k7WutvGdcEcCv7OAf3VYrtjEiJUjJ+2oBZmA+mRlNFI2uk01jkM1TkggUWeHMxhCx4dNzwly+5gwpEkQH6yaGq2E7gBs5F0M3ujiTh73C2i79OJjpcG9Fduu4MRIhSNn7agDWaJ9oUlbPJbTLRDbvJ8zwXMAR4ZNzxlh93BhDNJgPxs0dTsaGAYMA44weZwwl0G5gX7qYvujJcxMYTwgfHTFvQDngSSvJc7HGql02FI42ff8QCvAQ+OG57yt93BRAJJgAJk0dTsWGAEZvfr+jaHE272YVY5PnPRnfH77A5GiHAzftoChTkv4n2Y84v9Gx1lNFBKOe2NLGy8D4wbNzzlJ7sDiSSSAAWYNaXGzZjz8pxkczih7g/gv8DLF90Zn213MEJEgvHTFvR1GOpKp9MYYXcsIS4bc1TuZ8cNT5EOGjaQBMgmi6ZmK+B84DbruVJjcESoFZhVXe9fdGe8jIUhhA0mzkpvB6QC1wJVmYcv0mwFngdmy4zt9pIEKAgsmpp9EmaPi6HIHGMlOQi8Ccy96M54ma1diCAxcVZ6XWAIcB3QyeZwgtly4FngnXHDUwrsDkZIAhRUrOqxy4Argf5AjK0B2c8FLMYsJl500Z3xeTbHI4QoxcRZ6adiJkLXAI1tDicY/ASkA69Lw+bgIwlQkFo0NbsGcClmMtQPH01aGAI05jw384E3pFGzEKFn4qx0AzgXs3rsEiJrhPy/gNeB9HHDU2TKnSAmCVAIWDQ1uxZmyVAy0Beoa2c8frAHc2b2j4FPLrozfo/N8QghfGTirHQnZs+xCzDbO3YivNo8ujBv2r4APhw3POVbm+MR5SQJUIixGk8nAWcD5wBnEXp3V3nAt5hTVHwMrL3oznh5IwoRASbOSm+AWcV/PuZ1rKG9EVWYBn4EPsdMepaPG54i446FIEmAQtyiqdkOoDPQC2hvPU4D4u2My0s+sAH4znqsBX666M54l61RCSGCwsRZ6Y2BLkBX69GF4BorbSewznqsBVaOG54ipdRhQBKgMGTNTt8Ks6SoPXAq5nQcTTHvtgwfn9IN/ANsLvL4Gdhw0Z3xMvu6EKLcJs5Kb4pZVdYKaFHk4esSb41ZDf8vsB2zm/ovmA2Yf5ZkJ3xJAhRhFk3NjsJMghpg3mU1ABKBaMxeZ97P0Zh19ZnAYa/nwkcGsA3496I746VbpxDC7ybOSq+JmQjVxbx2VbOevX+Owyx9zrMeuV4/52GOHl+Y8OwYNzxFSqQjkCRAQgghhIg4vq4KEUIIIYQIepIACSGEECLiSAIkhBBCiIgjCZAQQghRDkqpAqXUeq9HWiWO0c06zkB/xCjKz2l3AKJkSqkCzDF0Cr2utZ5UwWN0A74BBmutF/oyPiGEiDA5WuuOld1ZKeUAJmMOAitsJglQcJMPmxBCBDml1GbgDcyRrQGu1lr/WcymtwFvAd0CFJoohVSBhSCl1Gal1GSl1BrrcVIJmxZ+2HYHMDwhhAhXcUWqwAZ7rcvQWncHpgFPF91RKdUYGADMDEyooixSAhTc4pRS671+f1xr/Yb1c4bWurtS6jrMD9tF3jt6fdjOQe42hBDCF0orlU/3ev5vMeufBu7RWhcoFU5zwYYuSYCCm3zYhBAiNOgSfi7UFXjduh7XBZKVUm6t9bsBiE0UQxKg0CUfNiGECB6DgUnW89dFV2qtWxb+rJR6CVgk12N7SQIUuuTDJoQQgVW0WcLHWuvCrvAxSqnVmG1rUwIemagwSYCCm3zYhBAiSGitHaWsfl5r/XA5j3ODbyISVSGToYYgq8tlV631XrtjEUKISCfX5NAkJUBCCCFEFWitW9gdg6g4KQESQgghRMSRgRCFEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXEkARJCCCFExJEESAghhBARRxIgIYQQQkQcSYCEEEIIEXGcdgcg/GPe6IGNgY1AAlDtxmkLM63lm4HmRTbfdeO0hQ3Ledz2wONAb8wE+ldgxI3TFq712qYd8BzQEzgIzAEevnHawoIqvCQhhCiXiTNGNgcmAf2BWOAP4J5xI6Z/7LVNY2AacB6QC7wOjB03Ynp24CMWdpAEKHw9CWRiJkBFvYaZoBTKL88B540e2BFYDrwHDLYWdwPivLapBXwO/AJcCpwITMVMlu6vyAsQQoiKmjhjZFPga+AHYCiQBXTE6zo1ccZIJ/AJ5rVvMFATeMp6HhLIeIV9JAEKQ/NGD+wNnA88hpkIFbXjxmkLv6nEoWcCH9w4baH3BeLjItvcinmhufzGaQszgM/mjR5YHXho3uiBT1jLhBCiXCbOGNkQyKhAycyTwF/AheNGTPdYyz4vss0g4BTgpHEjpm+yzuMCXp84Y+TD40ZM/8MHoYsgJ22Awsy80QMdmKU7E4C9PjxuO6AHx5YcFecC4JMiic7rmElRH1/FI4SIGOcDOybOGPnCxBkju5W24cQZI2sAlwPTvZKf4lwAfFuY/FjexSwROr+K8YoQISVA4edWzDrv54FrStjmxnmjB94O5ACfAXfeOG3hljKO28N6rjVv9MAfgFOBLcBjN05bONdru7bAkmNONm3h1nmjB2Zb6z6oyIsRQkS8d4DqmNVZwyfOGLkBmAvMHzdi+v4i23YGogA9ccbIlUB3YBfm9XDSuBHTtbVdW8xq+iPGjZieP3HGyL+sdSICSAlQGJk3emAd4BHgjhunLXSVsNl7wCjgXOBuzIbKy+eNHlijjMMXNpJ+BXgVs+Hgx8CceaMHJnttVwuz4XNRB6x1QghRbuNGTD80bsT0Z8eNmN4JM8FZBowHtk+cMfL1iTNG/mfijJHK2rzwOvUCZnvFfsA84FFghNdh5TolpAQozEwEVt84beHikja4cdrC//P6dfm80QNXAesx766enjd6oAIcXttoq/dWYbI858ZpC5+wfv5y3uiBpwD3At7n1BxPlbBcCCHKZdyI6d8Dt02cMfIu4DLM69YnwFagJUevUx+NGzE9zfr5y4kzRjbBvE5N9zqcXKcinJQAhYl5oweeCtwIPDxv9MCa80YPrAnEW6trzBs9MK64/W6ctvAnzO7yna1FfQCX1+MLa3lhUfOXRQ6xBGjn9fsBzJ4URdWg+DsuIYSoqFjMa0oNzO+xA9by0q5TTSbOGFnd+r2k61RN5DoVMaQEKHycjFn3/XUx67Zh1pkPK2X/wruetZhd2wsdtp5/LWE/BXg3NvyNInXo80YPbIrZHf+3Us4vhBAlsqq5zsEs9bkcs8Hya8BIq2QISr9OwdFr1XHXqYkzRkYDrTB7u4oIIAlQ+FgBnF1k2fnAPUAy8HdxO80bPfA0oA1mnTk3Tlt4GPiumE1XYd41nYtZ5FzoXMzxNgp9BNw9b/TAataxwBxnIwez7l4IIcpt4oyRDTDb79yAOYjrcszOHm+OGzE9x3vbcSOmb544Y+TPmNelF7xWnQv8NW7E9Ezr94+AqyfOGNl83IjphR1ALgFiOH5oDxGmJAEKEzdOW7gXWOq9bN7ogS2sH5ffOG1h5rzRAy/EHORrEbAd8w7ofsz685fKOH7+vNEDJwBPzBs98CDwLXAFcBbHdm+fCdwOvD1v9MDJmHdUDwFPyRhAQohKuAAz4XkZmFOOMXoeAN6aOGPkk8CnQF/gWuA6r20WAuOAtyfOGPkAZlXaf4HXZAygyCFtgCLLP0B94GnMC8ODmN3gzyxPcnLjtIVPA2nAzcCHwBnAwBunLVzutU1hKZEDs8v7w5gXlgd9+DqEEJHjfaDJuBHT7ylPcjJuxPR3MJOdizCvU4OBUeNGTH/VaxsXZgn5P8D/MKfEeAsY7vvwRbBSWkuDdyGEEEJEFikBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcSQBEkIIIUTEkQRICCGEEBFHEiAhhBBCRBxJgIQQQggRcZx2ByACKy25RzRQB6hrPXs/amK+JxyA44oL+xQ4HIYCCoA84KD1OOD1vB/Y1vnWSXkBfBlCiAg0NDVZAQ0wr1e1gNpFnuOxrl9JHU/d26Zd67qAG/Malg3sK+6R3P3mQwF+KSIIKK213TEIH7OSnBOBNtajtddzvfIe54oLz8pzOBwx5dhUA9uBv4FN1vPfwC/Ahs63Tsqv0AsIAKVUAbDBa9HrWutJ5dy3LfAi0BkYp7We4ocQhYhYQ1OTC69fJxZ5tARiy3OMtqe2Wd6+Q7ve5TxlHvAn8Duw0Xr8DmxM7n7zvopFL0KFJEAhLi25hwJOAXoBZwCnAydj3gVVSQUSoNK4gJ+BtcA667G+862TcqsaX1UopTK11omV3Lc+0By4DDggCZDwt6ok7Nb+fYGngShgr9a6jy/jq4qhqcmNgW5ej66YpTlVUsEEqDT7gG+BVcBKYHVy95uzfHBcYTNJgEJMWnIPJ9AT6M3RhKe2P87lowSoOLmYF5PPrcfazrdO8vjhPCUqKQFSSm0G3gDOthZdrbX+s4RjPARkSgIk/K2KCXtNzM/b+VrrrUqp+lrr3T4NsAKGpiY3BPpbjz7ACf44jw8ToKIKgB85mhB9ntz95j1+OI/wM2kDFALSknskAucDlwLJ+CnhCaBY4Bzr8RhwYN3MtKXAJ8A7nW+dFIiLc5xSar3X749rrd+wfs7QWndXSl2Hedd8UQDiEaLCypmwXw28rbXeChDo5GdoanI0cCZmwnM+kBTI8/uBA+hkPUYBnsVrZn8NvAe8l9z95t/tDE6UX1iWAIVDcXFaco9GmAnPpZgXN3+UxJTKjyVApSkAlgH/A97qfOukvf44SRklQOdorf9WSkUBO7XWdUo4xkNICZAIgGKuaY9rrd+w3q+ztdYTrYT9Sq31RUX2fRrzWnYqUA14Rmv9ij/jHZqabGBet64BLgdq+PN8xfFjCVBZNgLvYyZEq5K73xzQL1lp31h+4VoClKO17liZHa3i4ul4FRf7MrDSpCX3iAIuBm4G+hGZwxQ4OFo69Py6mWlfAunA651vnZQdoBh0CT8LYZfSrmnpXs//LWa9E+gCnAvEAV8rpb7RWvu8pGJoanJXzBKnq4BGvj5+iGgD3G09Ni1eM3se8GJy95v/DdD5K/39h9mr93bM9o1hL1wToGIFa3FxWnKP1sAw4DrMLp7C5AD+Yz2eWjczbT4ws/Otk37283kHA5Os56/9fC4hqqqshH0bZkl2FpCllPoK6IDZy6nKhqYmVweGAiMwv/zFUS2BR4CHFq+Z/TEwG/gwufvN7kAHUp7vP+v7brdS6sIAh2eLcE2AqtK+ozUQpZRaih+Li9OSeziAQZgXjbN8ffwwVAMYDYxeNzNtOTATWFiFLvZF3yMfa63TrJ9jlFKrMUvgUoruqJRqCHwHVAc8SqlUoJ3WOqOSsQhRFWUl7O8B05RSTiAa6EHxJUUVMjQ1+STM0oIbMK+VomQO4ELrsWPxmtkvAc8ld795hx/OJe0byylc2wBVun2HUmoaZjfMI8XFwIW+Ki62xui5HrgHc1yLoGVTG6CK2AFMwSwV8kn1mPUe6aq19kvbIyEqo5h2HR9rrdOs9+uLmJ0jDCCluF6LSqm7MUtpPMAcrfXTlY1laGryecD/WedUlT2Ov9nYBqi88oCXgMnJ3W/e5KuDSvvG8gvXEqDS2FJcnJbcIx6zbc9dQJOqHEsc0QiYCqStm5n2FPB851snHbY5JiF8Tmtd2rhez2utHy5j/yeBJ6sSw9DU5H6Y1Tndq3IccUQMcAtw0+I1s18HHk/ufvMvfj6ntG/0EomNbAd7PZdUXNxbKeVUSsVjFhf/WtmTpSX3SExL7nEvsBmzyFGSH9+rBzwObFk3M+2hdTPTKt3jRGvdQkp/hDhqaGryWUNTk5dhDlMhyY/vOYEhwE+L18x+e/Ga2R39eK6yvv8iSriWAFW6fYfW+lel1MeYA10VFhf/VNEArBGab8Ac56ZhRfcXlVILeBCzndAEYEbnWye5bI5JCL/RWrfw17GHpiZ3Bx4FzvPXOcQxFDAAuNRqI3Rfcvebd1XiONK+sZzCsg1QSQLVviMtuUcv4BnMtkQhKwTaAJXlT+CuzrdOes/uQIQIFdbUFE9SzBdkKAmBNkBlOQxMBJ5O7n5zlSeblvaNxwvXEiBbpCX3aApMJsQvHGHkJODddTPTPgFSO9866Te7AxIiWFkjNt8B3A8k2ByOMHvWTQKGL14z+67k7je/Y3dA4SaiSoD8xRrAcCxwHxBvczg+EwYlQN7yMe+mHpdqMSGONTQ1uTfwAubEymEhDEqAiloC3Jrc/eY/7A4kXERiI2ifSkvu0RFYg1lXHjbJTxiKBh4Gvl03M62T3cEIEQyGpiZXH5qaPAdz+pmwSX7C1DnAD4vXzL5z8ZrZ8t3tA/JHrKS05B7OtOQeD2EmPx3tjUZUQAdgzbqZaRPXzUyLtjsYIewyNDX5TOAH4CaCeDwfcYw4zLHPVixeM/tku4MJdZIAVYI1dcUqzB5HUTaHIyrOiVld+f26mWkdbY5FiIAampocNTQ1eSKwFGhhbzSiknoC6xevmT3C7kBCmSRAFZSW3OMW4Hugm92xiCprB3y9bmbaLXYHIkQgDE1NboN583Yf5vQMInTFA9MXr5n94eI1s+vaHUwokgSonNKSe8SmJfd4GXMOKmnrEz5igZnrZqYtWDczTXq+iLA1NDX5emAdIT48hzhOMrB28ZrZne0OJNRIAlQOack9mgErMGdrF+HpGuC7dTPTTrM7ECF8aWhqsnNoavIzmPNOyc1beGoGrFy8Zvb1dgcSSiQBKkNaco+zMUfG7GJ3LMLv2gKr181MG1zmlkKEgKGpyXUwp7C43e5YhN/FAi8tXjN72uI1s6VtajlIAlSKtOQedwCfYc41JSJDPJC+bmbafXYHIkRVDE1NTgK+xew+LSLHKGDJ4jWzZQqmMkgCVAyri/uLmDONS0PByKOAietmps1dNzNN7qREyBmamjwAs7FzS7tjEbY4E/hu8ZrZp9odSDCTBKiItOQescDbmBOZish2I/BRVWaXFyLQhqYm3wS8iUxnEekaA18tXjO7h92BBCtJgLykJfeoDnwMXGx3LCJonAusXDczrbHdgQhRlqGpyXcDc5CSa2GqDXyxeM3s8+wOJBhJAmRJS+5RD/gS6GN3LCLonAosWzczrandgQhRkqGpyY8DT9gdhwg6CcCixWtmD7I7kGAjCRBHZnFfDsg4CqIkJ2ImQc3tDkQIb0NTk42hqckzgTS7YxFBKxp4ffGa2cPtDiSYRHwClJbcoznmGD9t7I5FBL2WmElQK7sDEQJgaGqyAuYBMpq5KIsBvLB4zezb7A4kWER0ApSW3KM+Zjf3ZnbHIkJGc8wk6CS7AxECeAaQwe9ERTyzeM3sa+0OIhhEbAKUltyjBuYAYTKjrqioJsAX62amnWB3ICJyDU1NfgSQu3lRUQqYt3jN7EvsDsRuEZkApSX3iAM+ADraHIoIXc2QLvLCJkNTk+8C7rc7DhGynMAbi9fM7mt3IHaKuAQoLblHFLAQ6G13LCLkJQHvrJuZFm13ICJyDE1NHgY8aXccIuTFAu8vXjM7YifHjagEKC25hwJexJw9VwhfOBt4Zd3MNGV3ICL8DU1NvgB4we44RNioBny8eM3s1nYHYoeISoCA+zBn/RbClwZjTpsihN8MTU1uC6QTeddt4V91gPcWr5ld3e5AAi1iPkhpyT2SgQl2xyHC1ph1M9OkN47wi6GpyTWB9wFpcyb8oS0wf/Ga2RFVkh0RCVBaco+TgFeJkNcrbDNz3cy0TnYHIcLL0NRkB/AG0mNV+NclwIN2BxFIYZ8QpCX3SATeBWraG4mIALHA2+tmptW2OxARVp4E+tkdhIgI4xevmX2p3UEESlgnQFaj55cx53ISIhBaAK+tm5kW1p8tERhDU5OvAsbYHYeIGAqzKuwUuwMJhHC/SN8FXG53ECLi9AcesjsIEdqGpiY3B2baHYeIONWAdxavmR1vdyD+FrYJUFpyjw7Ao3bHISLWuHUz086wOwgRmoamJhvAfKTRs7BHG2Cy3UH4W1gmQGnJPaKBVzBnwBXCDgbw8rqZaQl2ByJC0r3IYK3CXqMWr5n9H7uD8KewTIAwqx+S7A5CRLwTkfGBRAUNTU3uhlShCvsp4MXFa2bXtDsQfwm7BCgtuUdPYKzdcYhjPfzKYv5z93NcOWHuMctf/3Itlz84m0ET5vDM218CsP6vbQx+dB7XTnqZf3YfAOBwdi6jnn0DrXXAY6+iW9bNTDvf7iBEaBiamhwPvIY5V5MQdmsCPGt3EP4SVh+ytOQe8Zi9vhx2xyKOdXHP9lzZtzMPvvThkWXfbtzCsh/+4PX7hxId5WR/RhYACz7/lieHX8b2fYd486vvuWPgOcxevIobz++JUiE5TtfcdTPTTut866QDdgcigt6DwEl2B1EeKz77kW2b9hAbH81lQ8zauqWLv+fQAfNznJ/nJjrGyaXXnMmu7Qf4ZsnPGA6DPhd0oHrNBPLyXCxbvJ7zLusaqp/rSHHt4jWz303ufvPbdgfia2GVAAGPEeSDhS3+8W/+2nOQ+OgoburdHoDdGdl88vMm8t0easTFcHGHE4mJcrDtwGE+/XkzDsPgkg4nUishllyXm/fW/8mVXduE1EWj88lN2b7v0DHLFn71PTf0P53oKPNtWLu62VzG6TDIy3eTm+/G6TD4Z88B9hw8TJfWzQIet4+cgFkVdqPdgYjgNTQ1+VRCqMv7Se2acEqH5iz/9Mcjy/omHx0H9NuvfiUqxvxs/7xuE2df2InMjBw2/riVbmedwo+r/ySpW6uQuo55e/qRl1izcgM1a1VjevpDAPz9+z88P/lVcnJyadCoLnc/fBPxiXH88sOfPP/Eq0RFORn7yM2c0LQ+mYezmTxuFhOe+b9Q+BvMXLxm9pfJ3W8Oq5u4sKkCS0vucRow2u44ytK+SV0GdW1zzLKPftpEn9ZNual3e1o3qMXqTTsA+HbTTi7rdDJntW7C91t3A7Dqz+30bHVCKHxgyrR19wG+//Mfrpv8Cjc/9Ro/bzZf99D+p/Poqx/z2pLvGNy3M9Pf+4oRl4R8e9AbpFeYKMnQ1GQFzACi7I6lvBo2rk10bPHhaq3Z9MdOWrU+AQDDULjdBbjdBSjDIONgFllZeTRsUieQIfvUfy7qxYSnbz9m2bOPvcINowYw/bWH6NmnI28t+BSAt1/7jPsev5XrRwxg8dvLAHh93odcecMFoXItr0cYTiUVNgkQ8AwhUPXVtHZ14qKOLXjbn5lD09rVAGhRtzq/79wPgKEU7gIP7gIPhqE4kJXL4bx8mtUJjznrCgo8ZGTn8fLYa/m/y/uSNuc9tNa0adqAl++5jlljUvh37yHq1UxEa0ib8x73v/gB+6yqshCjtNZPrfjvmKB/jwpbXE8Y9fratf0AcfHRVK9lluq273Yiq5b8xC/rN3NKh2as+/oPOp8e1IX1ZTqtU2uqVT+2k+e2Lbs4rZM5sXqnHu1Y+eU6AJxOB/l5LnJz83E4HezYtpt9uw/QvnOb444bxEYsXjP7NLuD8KWwSIDSknsMAM6xO47Kqlstnj93HwTgt537OZybD8DpJzbi45828d3mnXRu1oCv/thG75Ob2Bipb9WvVY1zOrVGKcVpLcxSrYOZOUfWa62Z89Eqhl1wBrM+XMktF51JcvdTef3LtTZGXTkut/vrnNz8JsCtdscigsvQ1OTamNNdhI1NG7fTss0JR36vU686Fw3uxflX9OBwRg7xCTFozDZDX338AzlZefYF60PNTzyBb776AYAVX6xl727zZnbQ9Rfw3OPzee/1z7l44Nm8MuNdhtwScjNOODALGsJGyCdAack9YgjxrsbJ7VuybssuXlr5E/lus7QHoEH1BK7rdSopPU7hUE4uiTFRgOa97//kgx/+IivPZW/gVdS3w8l8u3ELAFt27cddUEDNxLgj6z/45ifOPO1EqifEkpvvwlAKpRS5+aHzuj0ez1/ZOXnfu1wFPTHbAj284r9jatoclgguE4G6dgfhKx6Phy1/7qLlyQ2PW6e15sc1f9Kh+0n8sPoPOp5+Mq3ansCvP2yxIVLfS73/ej5c+CW3X/coOdm5OJ1maf+JrZvy1Lx7mTTjLnZu30PtejUBmDRuFk8++P/t3Xl4VOXZP/Dvc87sexJAZEdE9lV2kKAWLLikKAWB2vZVa5FaWwq0vpXaluWtfZEfti60Kr5tFVyKtrWKVlwIhH3fBUT2RdmSWc/+/P6YgAGSkElm5jln5vlcV64kM2fOuYEwuc+z3PdCnD8bZhh1Sm5Zuv7FnOmukAuLoKcCaMs6iIYo8rkxrl9HAMC5WAJfnC6/5HlKKVZ/fgIlva7Hsl2HMaR9c1QkZGw6fApDb2jJIOLU/XLhO9i47wjKowmM/O/n8MM7hqBkUHf89pWlGDtzIWw2Eb/57u0X58MTiop31+7Ec4+OBQB859a+mP7CP2AXRfzPA3ex/KPUCaU0LCvqFsOgg3Hp/7MiJHf6WGaxK5c5//XTUR0A/IB1HOl04shZBAu98PrdVzz3+Z7jaNGmCZwuOzTNACEEhACaqjOINP1atrkWs59J/tc+fuRLbFi145LnKaV4/eX38Is5D+FPT72GiT+4E1+ePIt33vwY33t4NIuQ62Pe0vUvLh3V7wcS60AaytIJ0GOj+jdDsmKqpcVkFV6n/WKi07Nlk0ue33n8DNo1CcFlt0E1DBACEBCousEo4tTVlLTM/q87q33c7bDjhSnjL37fq31LvPmrBzISWzpRSqmm6atVTW8PoLiGw35UNn/KgiFT5u/LZmycKf0OFli7WJ3S97fi1LFzkCQFby78BD37t8cNXVvi4L6TaHtDsyuO11QdB/Ycx4hv9QUAdOnVBp++txmiKGDoN3tmOfrMKD8XRqgwAMMw8PrL72Hk6KGXPP/Re2vQd3B3+ANeyJICQRAgEAK5ctmDRbRBcuBhDuM4GoxYsLDcRY+N6v8sgB+xjiMV72z9HEfORZBQNHgcNgxp3wKqrmPz4S8BADc0LUTxDS0ujoSouo4lG/dhbN8OEAUBR89d2BpPcFfPdij0XnmXlS733D5UFkXRmbEL5BjdMPbKsiqjblXI3xoyZf6YTMfEmddPfj22T7gi+iqSfZe4NOvYpcPKbj06Z2xh+e9nvIgdm/ciXB5FqDCAiQ/dBSku490lyYKug27uje9PHn3xvVySZPxmyjOY/cxPYbPZsHPLfjw/dxFsNht+MfsHaN7qmkyFmgnlAFqP6vcDy8zdVceyCdBjo/o3BXAQgIt1LLmKJ0B1QyktlxV1e+V0V13v5g0AHYdMmb8/g6FxJjZ19oQPKKUjZEleG49JTWHxqXyzyXQCxGHGqH4/sPQokJUXQU8DT344hiilhqJqKxOSohsGHYrUpjIEJIeRuTw0dfaEQQBuI4QQl9s1sKAo2MrldpYBOM46No6ro58uXf+ipZs9WzIBemxU/yLw7cQcQ7pu7EpIymeapt+E5MLm+vhe2fwpTa5+GJeDflv1G0KI6PG6hxQUBRs5XY4VAE4ziovj6qoRgIdZB9EQlkyAkNxBY+nMk7MmSumZhKSUyYraGUDnBp7OBeDHaQiLs5Cpsyf0BvCN6p4jhDi9Ps/QgqKgx+G0lwKoqO44jjOJaUvXv2jZmRjLJUCPjeofhAVaXnC5hVKqK4q2IiEpdkrpEADpql8/uWz+FJ7M55erJr2EEK/P7y0OFQZgd9hKAViy/DmX866Bhcs4WC4BAjAZQJB1EFz+0HV9W0JSDmi6PhTp/9krBGD+/f1cWkydPaERgHvrerwgCEF/wFccKgzEbTZxBQBL7Zfm8sL0petftGQpB0slQI+N6i/C4nOOnHUYlH6ZkJTVsqL1AHBDBi/1s7L5Uyxdk4urswdRj80bgiA0DoT8Q4MF/tOiKJYByI3KgVwuaAmg+oJuJmepBAjA7Uj+ZXNcxlBKVVlRSyVJ8VBKB2Xhkq0BfDsL1+EYmjp7QoNv4ERRbB4s8A8JhPxHBEFYA8CadUy4XDOZdQD1YbUEiI/+cBml6frmhKQc0XWjGIA/i5eensVrcWyUAGiVjhPZbGLbUGFgYCDo20cEsiEd5+S4+qKUFv+z7LnrWMeRKsskQHMnDm8Z8Hta2URxBQBLV5/kzMcw6PGEJK9VFK03gHYMQuhVNn9KDwbX5bIn7Zs3bHZbh4LCYF9fwLudELIt3efnuNroun44Fo0tD1eEyxPxhOXWMlomAQLwPbvN1jkY8A4tDPlFt8tZRgh2XP1lHFczSqksK2qpJCsFlGIA43DGMr4+lyFTZ09oD+DmTJ3f4bB3LygK9vD6PZtAsDtT1+E4Sqkiy/KacEV4SzQSbaVp2jAATQDc99qHT1kpp7BUM9TvX/iCEOL1uJ1DPG4nNE3/PJaQTmia3g1AAbvwOKvRNH2DompNUHPT0mwbC+Bx1kFwGZGV5NbpdNzodDogJeR18ViiEdiMZnI5SNf1Q1JCOqxpWhcAA6s5pCWAWwEsy25k9WeJbG3uxOE3oYb/yDabeH3Q7x1aGPJ7PG7nakLIFvCFgVwtDMM4nJDkDYqq9UVyAbJZXF82f0pv1kFwGZHV0T2X29m/oCjY1u1xrQJwNJvX5nIHpVSWJXl1uCK8LRqJttE0rRjJCtA1+V62YksHSyRAqMObByHE6XY5BxWG/L2CAe8Ru822HLycPFcFpTQuy2qpJKtNKUVf1vHUgE+D5ZipsyfcAKB7tq9LCBHcHtfggqJgU5fbuQLAqWzHwFmTrusHotFoabgiHJMkaRCltK7rE0e/9uFTgYwGl0ZWSYDuSOVgmyi2Dvg9wwpD/gKvx7WWELIRye7bXJ5SNX1tQlLO64ZRDMDMHe75dvjcw/TflBBi93jdQwuKgkGn01EK4BzLeDhzopRKkiStCleEt0cj0Xa6phcjWag1FR4AozMQXkaYPgGaO3F4VwBt6vNaQojN5XQMKAz5+4QCvpMOu205gBPpjI8zN8Mwvogn5E2qqg0A0Jx1PHVwXdn8KX1YB8GllSlG9Qghbq/fUxwqDNrsDnspgAjrmDj2NE3bH41ES8MVYUmW5MGU0oaOVg5PS2BZYIVF0GmpMCmKQnO/z9OcUmooiroxLsmaYdA+sMbfAZciSmlUVtRNhkEHAbBafYqxADayDoJrOFbTX7URBBLwB7zFhmGcjUbipZqq9Uc9qlNz1kUpjcuSvFmW5RCArgDap/H0t6TxXBll+hEgpDj9dTWEEMHpdPQpCPoHFAR955wO+3IAh9N5DY4tVdVWJyQlahi0GICddTz1wKfBcscY1gHURBCEokDQVxwsCJwXk33GNNYxcZmladreaCS6IlwR1mRZHoJk8pNu17724VOdM3DetDN1AjR34vAiIHO1WQRBaOLzuocVhvytfF73FkEQVgOQM3U9LrN0w9gXT8jbVE0fBKAp63gaoE3Z/ClmXaTNpWYE6wCuRhSFa4Mh/9BgyH9cFIXV4OslcwqlNColpJUV5RW7Y9FYBz3Z1DnTC5VvzfD508Ls0z+jkIUkjRBCnA57L6fDDsMwzsUlea0sqy3Aa2hYAqW0QlbUbYZBBwOwZFfiagwDwFscWNjU2ROcAPqzjqOuRJvYOlgQaK2p2v5oJHbeMGg/1jFx9adp2m4pIZ3Vdb0XgJuyfPlvAHgmy9dMmalHgJDm6a+6EASh0OdxFxcVBNr5fZ4doiiUAYhnOw7u6iilVFG1lQlJUQ2DDkXuJD9A9YXGOGsZAAuurbHZbe1DhcF+/oB3FyFkM+t4uLqjlIYTicTKivKKz2LRWGdd128C4GMQSvFrHz5l+vdjs48AMV1M5bDbujnsPhgGrUhI8kpJVhoB6MQyJi5J143dsqJSZP/OJlt4AmR9ZqkwXi92h71LQVEQiqxsiUXjdkozsl6ESwNN1XYlpMQ5Qzd6wxzviUEAfQCsYx1IbUw7AjR34vC2qL3iZNYIAgl6Pa6bigoCnQJ+zx7ekJUdSuk5SVJWyoraEUAX1vFkUNOy+VPasA6CaxBLJ0AXOJyOXgVFoa5en3sDgH2s4+GSqEErEvHEioryiv2xWKyLoRs3AfCyjqsK068DMm0CBJizUq/dZut0WUPWnaxjygeUUkNRtRUJSSEGpTfB3D+76cJHgSxq6uwJDuTYv5/T5exbUBRs7/a6VgM4xDqefKWq6o5IOFIWDocdiqIMRXq3sKcTT4AawJQJ0AUXGrIWhgJdg37v5zabWArgPOu4cpGuGzsSkrJP0/ShyK+Gt6y703P11xeAm3UQ6UYIIW63a1BBUbCFy+1cCeAk65jygWEY5xPxRGlFecWBeCzezTCMITD/z9fg1z58ytQxmnkNkKkToKoqG7JeTymVJVlZnZAUN6W0JwDCOjYrMyj9SpbV/ZTSQcjPv8ucGkHIM4NZB5BJhBCbx+u+ye1xyfFYYoUsKZ1hkiULuURV1a1SQoobhnEjrDel6kTy/8FHrAOpiSlHgOZOHC4AuJF1HKm6oiFrsvXGV6zjshpKqaYoaqkkKS5K6WDkZ/IDAD3L5k8x9R0UV6O8WDBMCHF6fZ6hBUVBl8NpLwVQwTomqzMM42w8Hi+tKK84GI/FexqGMQjm7l9Ym96sA6iNWUeAOoLN1r20sYli64DP05pSqsmKujaekG2U0t4wadJpFpqub1EULQDr3e1kgh3JG4Ey1oFwKcvlBfpXIIT4fH5vseE1ymOReKmqan2RbIzJ1QGllGqqtlWSJMmioz01MXUtPbMmQJaZ/rqaCw1ZXU4HdN04EU9I+xRVuwFAM9axmYlh0JOyoh6ilPJpn0sNBE+ALGXq7AkEyZu4vCMIQsgf9BUbuvFVNBLbqGn6AAAO1nGZlWEYpyVJ2q0qahsAvVjHkwE8AaqHnqwDyARRFJr5fZ5mvCHr1yiliqJqa3Td6AO+5qU6KU2lEEJ0ADuqPPQ6pfTJOr52IoBfVH4bBfAwpXRbKtfnAABtkOejH4IoNAmE/E10XT8WDccP6bo+ELlVqLTeKKVUVdXNsiSrOTbaUx2eANVDW9YBZNKFhqxOpwOGYXwVT8h75OQdQGvWsWWTpukbFVVrhNx+A2ioVP8vJCoX4NfHQQDFlNLzhJCRAF6AhVo5mIglGkFmgyiKLYIF/haapn8RDce+MgyjP/J0TZ9hGF9KCWmPqqrtYME1rvXU8rUPn7KPHzFNZR1IdcyaAOVNIlDZkLWJ1+OiqqptiSfkhJ68K7DqorerMgzjqKyoJykF7zV0ddel4ySEkEMA3gBwc+VDEyiln1c9hlK6usq3awG0SMe18xBPgC5js4nXhQoD16mqticaicVocuQ751FKDVVVN0kJyaCU3ohkj798IiI5IrqfcRzVMuuC3FasA8g2QghxOOy9QkHfoIKgL+ZM7qg4wDqudKKUJmRZLZVktTFPfuqsWdn8Kakkw25CyNYqH+OqPBemlPYD8CyAp69yngcAvJ9irFwST4BqYLfbOhUUBvv4At5thJCcnV41DONkPBZfHq4In0zEE30ppf1h3gGHTDPtNJjp/kHmThzuA1DIOg6WLjRk9XncUFRtRzwhVejJHi+WXVegavo6VdWag093pYogeQe1t47H1zYF9lqVz/NrvCAhNyOZAA2p4zW5S+X0FH46OBz2Ho6iIGRJ2RSLxj3IgR6LlFJdVdRNkiSRyh2/17KOySR4ApSCvBv9qc3FhqyUhhMJeYUkK41hoTcLwzAOSrJ6FnwtSUO0Qt0ToNrQGr6+iBDSHcBLAEZSSs+m4Zr5qAnrAKzC6XLc6HDaqSwpa+OxRGOY+JdlTXRdPyZJ0gEtubuXj2xfybT/pmZMgPJm/U8qBEICXo9rqNfjgqppe+Jx+bSm6z0BBFjHVh1KaUxWtA2VRbyY3RH/7vUPsXr3QRT4PPjbz+8DALz0/mqs3PkFBAIU+Dz45fgRaBT0YfvBE5i35BM4bCJ+/Z2RaNE4hEhCwq//thTzHhoNQpit3UzXneQ4AE9Wfl5z+ZOEkFYA3gZwH6WUN72sP54ApYAQQlxu5wCny6FLCXlVIi61hsnXnyWLtSqbZEm2UUp7weTxMsYToBTwEaCrSDZktXWilMYTklImyXKQUnRjHdcFqqatUVW9DUyw4G9k3864e0hPzFn8n4uPjb/5Rjw4chAAYMmKLfjLh+sw7du34o3lmzD7+7fj1Lkw/rl6Ox4pGYq/frge993aj2XyAwBNUzjWTQjZWuX7Dyilj1V+7SSErENy7d/4al77BIAiAM9X/nk1SvNjsWq6TJ09QUSeT+HXFyFEdHtcg11up5KISSskSe4IkyWTuq4fkRLSQU3TOoGPatcVT4BSwBOgOiKEeDxu5xCP2wlN0z+PJaTjmqZ3A6M3YN0w9suyGoOJ6vn0bNcCJ89dWp3f6/p6TXFCUS9uyrWJAmRVg6RqsIkCjp8px+mKKHpdz/zmrs4jQJTS2mqtPEcp/W0tr30QwIOpBMZdoQh5us07XQghDo/PPdTtdcVj0USpIivdwbAJMqVUVRRloyzJzsrRHv47KjVp2cmaCWZMgEw5pWN2LBuyUkorZEXdZhh0EMz5M3WFF5auwn827oHX5cQfJt8DAPjOrX0x982P4bTbMGPibXjunZV4cKQpcrlURoA4tkw1YmFlhBCPz+8pNrzuilg0Xqoq6o3IYoskXdcPSQnpkKZpXWCimzoLcr/24VO28SOmaawDuZwZf1nx5o8NcKEhq9vlhKbrh+MJ+aCqap2RgTdmSinVNH21quk3ABia7vNn0kOjBuOhUYPxykfr8XbZNjzwzYFo37wJ/vzTewEAWw8cQ6OgF5QCv/7bexAFEY+U3IRCv5dFuA3usk0pbZOGOLira8w6gFwjCCToD3iLDcM4E43EN2mq1h+AKxPXopTKiqxskmXZU3kD2SYT18lDNgCmS4DMWAcoIz/Y+aiyIeuwwpC/0OtxrRMI2QDASMe5dd34LCEpO1VNHwwLv+kP790RpdsvqQcISin+tmw9vj+8P/7y4Vrcf9tA3HZjRyxZuZVNkLyFgJVY9v+C2QmC0CgQ9BUHCwLnRZu4Emn8harr+hfRaLQ0XBGOSZI0qAHV1LnqmXGwxZRB8RGgNKtsyNr/soas7QE0T/VclNLzsqzuNCgdDHMm0Fd19PR5tGycXFJQtusLtGpy6fKC9zfsxsDObeH3uCApGgghIAKBpDC7gbHk33OeYjJEmE9EUbg2GPJfq2v64UgkdtzQjYGox1Q/pVSSZXmTIit+Sml3mHitSg4wY65hyqB4ApRB1TRk1Q2D3oir/CxQSg1V01dpmt4FwE3ZibbhfvPKUmz5/BgqYhLu/u1LuP+2AVi75xCOnD4PQgiaFvgxbcytF4+XFBUfbNiD/zdpNABg3LDe+NVf3oWtcms8IzwB4rjLiDaxdagg0FpTtX3RSKzcMGidavBomrZfSkgndV3vDmBwhsPkksyYa5gyKJ4AZcFlDVlPxxPyLllR26KaOky6buyUFVWEhRKfC35z36grHrtjQM0N1l0OO/74ozEXv+9xXXP8tbJ+EEM8AbIOvgMsy2x22w2hwiBURd0VjcSVyp1al6CUxmVZ3ixLchBANwDtsx9pXjNjrmHKoPgaoCwTBKGxz+sednlDVkrp6YSkHKLJ6S7+xs4O/7u3Dv5vxYjdYe9SUBSEIitbYtG4AwA0TdsrJaQvdV3vAd7ahSUz5hqmDIqPADFyoSGrw2GHYRhbj586ezTg9zZz2G0aIcTOOr48xkeArIMnQIw5nI5eDqejAlTfHQlHOgqC0IF1TJwpcw1zBsUxZwQDflt5RbSlIAg9AVSIgrDT5XLYnQ57N0IIT1KziydA1sETIPYifr/3KAW9NhKOCC63a43T6eR1fNgyZa5hxjfWCOsA8p3dJq502G1dKaU9JUleCyCoG8bgWFzqd648YpyviKxNSPJqg9Iw61jzBP+lah3834qtqM/vPWh32Lvqul4EoEhKSAMj4cgawzB4c192TJkAmTEongCxddjv817cTRGLS82dTodECLmwNstrGHRAPCEjnpAVQshGl9MuuZyOToIgFDGKOdeZ8UaF48wm7vN7Dzgc9h6V37ehlOqEENEwjIGRcOS0y+1a63Q6BzCNMgV/nvcmtqzbjUDIh/99YRoAYMkrH+LT99chEExWXBj7XyPRq18n7N11EC8/8zbsdhseeWwimjZvhFg0gT/+z6t4bM6DrPsZmjHXMGVQfFSBHer3es4TQqruBGsZjSVK/T5PcTXHOyilfRKSgoSk6ISQrU6HPexyOtqLopCuDuYcH1WwkijrAPJUwufz7HU47FV3gLl1XT9os9naVn7fWEpIjRVZWeP1eTsIgmD6prVDR/TBiLsGYcHc1y95fOTom3DHt4dd8tjSt1bgp7/6Ls6cOo+P3l2D7/zwTvxj0Uf41r23sE5+AJMWczVjAsRHgBixieJKh8N+RUsLRVH76LpxShSF2npSiZTSnpKsQJIVSoBdDof9jMvlaGMTxSu21nMpOc86AK7OmE2zRCpieP+ttYhHJBACdOt7PXoP7IBEXMZ7b65C+HwMgQIv7hg3BC63A8cPn8bH/94A0SZi1LcHoaDIDymh4L03V+Hu7w4zwy/NupK9Ps9uh9Nx4+VPqKp6qkoCBACw0mhQp27X4fSpc3U6VhRFqLIKWVYg2kR8eeIMzp2tQKfupmjGXnH1Q7KPJ0DcBccCfm/vGp7zRqKxraGgv65NOQkFusiKCllRAWC/w2477nI5m9ttIq+/kbqTrAPg6uwMqwsTQUDxN3vhmmaFUGQVry74D1q3a4pdW75Aq+uaot/Qzli/YjfWr9iNobf1xKZVn+HO8TchfD6K7ev3o3hkb6xbvhP9hnaxUvKjeH2eHU6no091T6qqqrjd1e7ZuDAatNrr83YSBIFZt/n6+PDfq7Hy4024rn1LTHzoDvj8Htx178146Q9vweGw4+Gf34tFL76Lb3/vNtahXvAV6wCqY8a1BTwBYsDndX9JCKmx07KuG4NUVdtVz9O3V1RtWDgSa3/2fPhwOBIrVVRtF6WU1vN8+YYnQNbBbATI53fjmmbJWR2H046ixgFEw3Ec2HMcnXslB0E692qLA3uOAQAEUYCmalBVHYIooPxcBNFwAi3bWqahver1urfWlPwAgK7rte5YNQxjUCQcURVZWZ/+8DJj+B0D8fT/PYbfPT8FoUI/Fr3wLgCgTbvmmPmHH2PG3En46tQ5FBQFAAr8cc6reO73i1Fxntmv1tj4EdPirC5eG54AcRBFoczpuHL4+DIkEo0hDUlLa1XTiyPReJdz5ZFTFZHYCllRt1JK9QaeN5edYB0AV2fMRoCqqjgfxVcnz6Npi0aIxyT4/Mk8wOd3Ix6TAAD9hnbGsn9twOY1e9Gz/w1YtWw7Bn2jO8uwU6F5vO5NTpez1vYXhmHUpd9hk0Qi0S8SjqwyDKM8PeFlTrDAD0EUIAgCbhnZHwf2HrnkeUop/rn4I4ye8A289eoy3HPfCAy5pTc++GcZo4jxZSoHE0J0QsjWKh+PpfDaiYSQ7ZUfqwkhPWo73oxTYOWsA8gzpwI+X7e6HEgpuiQkeZXH7UpX/5xrNU2/NqolAOCsKAp7XE6H0+mw9yCEONJ0jVzAR4AsYt6MxdGpsyfIAJysYlBkFf9+vQzDRvaG01Vz/dIm1xZgwg9HAACOHfoK3oAboBTvvrEKgkBQPLIXvD5TlvzSPR73BperTrV9mhuGUSEIQvBqBxqGMTgSjnzpdrvXO5yOOvUVY+H82XBydAfAhtU70aLNpSsTVizbiJ79OsHn90CRFQhCspmzIqsswgVSn/5KUEp71vNaBwEUU0rPE0JGAngBQP+aDjZjAnSQdQD5xOtxHxEEUuf/7ImE3M7tckZrmy6rpyJdN4bE4hJicSksCMJGl9MhuJz2boSQfO+wzUeArOUsgGYsLqzrBv79ehk6dW+D9l1aAgA8XheikQR8fjeikQQ83ku7DVFKsW75Ltw+bjA+eXcjBt3SDRXlUWxZsw9Dhtd6A82C7va41rnczkF1fYGmaYcdDkddh7auSSQS18iyXObz+boRgVw1ccqkZ363CHu2H0CkIoZHJs7GPfeNwJ7tB3D4wAmAAI2vKcQDj95z8XhZUrBy2SY89rsfAABG3T0UT8/6G0SbiB//90RWf4y0rP8hhBwC8AaAmysfmkAp/bzqMZTS1VW+XQugRW3nNGMCdIB1APlCFITVLqejzm8klZpGovHSgN9b3bb4dAkYhjEonpAQT0iSIJD1TodDcTkdXQWBhDJ4XbPiI0DWcgYMEiBKKT78xzoUNg7gxsEdLz5+Xcfm2L3lIPoN7YzdWw6iXadLZ4V2bzmIth2aweV2QFV1EAIQQqCpppuVNtwe11p3iiPQqqqWOxypDSgbhjEkHA6fcnvc+xwOR9+UXpxG1SUtN3+z5vtVp8uBGXMnXfy+Y7fr8Ps/T81IbCk4cvVDLuEmhGyt8v3vKKVvVH4dppT2I4R8F8DTAO6o5TwPAHi/tguZMQE6CkAFwHtPZdbpgN/b8eqHXUlVtQG6rh8VRbFluoOqhsswaL+EJCMhySohZLPTYY+5XY6OgiA0zsL1zYAnQNZyCEDWF9OcOHIGe7YdQqNrgnjlueT7/uDhPdBvaGe8+8Yq7Nx0AP6QF3eM+zp/UBUNu7YexD3fS95U3zioA955rQyiTcDt30713iijqNvtWu12u1JuaKppWn23tDVNxBNNL44GEbajQRaW6qxObVNgr1X5PL+mExBCbkYyAar154WYcSPO3InD9wHg26UzyON2rXW76l8DQxCEtQUhP8saGgYh2OWw28+5Xc52oijUOtRpYeEhU+bzN956IIToAHZUeeh1SumTdXztMAD/wtdv3m9TSmfW5bVTZ094CgDz2+4cQl1uZ5nH476pPi8mhOwsLCzs2sAYTro97uMOR807zrga3TN+xLS363owISRKKb1iiUXlFNjNlNKDlc25T1JKG1VzXHcA/wAwklK6r7ZrmXEECEhOgzFJgMpjEl5fswtRSQYhBP3bNceQjq3w7pb92HP8NERBQJHPjbEDOsPtsOPQ6XK8veEz2AQBEwZ3RSO/BwlFxaKyHXjg5l6mrKchCEKDkh8AMAxjgKKoWy6rvJpNAqXoVqXW0B6Hw/6V2+loabOJ1zGKKRP46E/9NWQxJQCspJTWNsRek/0NuCZ3GZfLudLjcV9RoLWuKKVtKKWUNOzN+NpEPHGtIitlXp+3OyEk0IBz5Zt0rusdB+DJys9rLn+SENIKwNsA7rta8gOYOwFiQhAI7ujdHi0KA5BUDX/8YD3aX1uIG5oWYmSPdhAFAUu37Menuw5hVK/2WLHnMO4b0h3nYwms2X8Md/a+AR/tPIibu7Q1ZfID4HzQ701LadBINO4tLAjohBAzlDnvpChqJyWZDH1ht9uOup2Oa+x2W72m+UyEr4lLs7ospmygq77xcnXjdDlKPV53Q9cb+gzDOCKKYquGxqPr+pBwRfiE2+Pe77h66RAu6VCKx1++BugDSumFrfBOQsg6JEv4jK/mtU8AKALwfOXvX41SWuOoHU+ALhNwOxFwJ3ewuuw2NAl4UBGXccO1X/f5bNUoiO1HkgvbBUGAputQdR2iQHA2Ekc4LqPdNeYsLOpxOXcLgpCubew3xBPSSm89h6Yz6DpV1a5TVQ0Ajtls4gG3y1Fgt9m6EkLMWPuqNhtYB2BhDV1MOZAQsg3JXXjTKKV1LQS6u74Bc19zOh2lXm+1PQhTpqrqyXQkQJWaJeKJZoqsrPT6vD0JIf40nTcXlY8fMS2lVj6U0tpuqJ+jlP62ltc+CODBul7LrL8MTHHXey6awInzEbRqdOkSjA0HTqBjs2RCdEuXNnhr/R6s/OwoBt3QEh9sO4AR5ui9cgWBkA2p7qC4GklSOhsGNWWfl0otNE0vjkQT3c+VR85UhGMrZUXdTCllVhQjRTwBqr8EpbRnlY83qjxXdTFldfVkNgNoTSntAeAZAP+s60XnzVj8JUxSENGqHE7Hcm/1DZjrRVXVRLrOdYGu6zeFK8IVqqJuTve5c4ipK2ybdQRoC+sAZFXDKyu3484bO8Bl//qv6eOdByEIBL0qi081K/DjkduS2xK/+Op85egRxatlOyAKBHf0ag+/m1lNtKoqAgFfJhYKF0WisRXBgK/ec/RZ1ETT9SbRWAIAykVB2OVyOexOh70bIcSUFd/AE6BMoTV8nXyA0nCVr5cSQp4nhDSilNY1sdkFIJOlInKWw2Ff7vN5hqXznJqmZer/d4t4PN5clMUVXp+3dwbqo1ndqnSdiFLaJl3nusCUI0DTFy07CuAYq+vrhoFXVm5HrzZN0a3l131xNn5xAnuOn8H4QV2vWN9DKcXHOw/i1m5tsWzHQYzodh16t2mKVfuOZjv8arldzu2iIFybiXNrmj5I03RTjNqlIKQbxuBYXOp3rjxinK+IrElI8mqDUjO1YjkyZMp8UzYRzAHjqnyubjFl0wuLZgkh/ZB8r0ylz9e2BkeYh+wO+3Kf3zss3ec1DCMj732ViK7rQ8MV4XJVUZnfvJtM2hKgTDDrCBAArAYwNtsXpZTi72t3o0nQi6GdWl98fO+JM1i++zAmfeNGOGxXTlFuOngSnZo1gsdhh6p/XUxM0dgXEyOEbPa4XZlcp2MLR2LnCwssuzHCaxh0YDwhI56QZYGQDU6nXXY5HZ0EQSi6+sszho/+NExDFlOOAfAwIUQDkABwb4p98FYDeLQeMectu9223J+B5KdSS0ppLMNV5auOBt3IK9hDA7COdRC1MXMCtAYMEqBDpyuw+dApNA35MH/pWgDAN3tcj3c27YVmGHjxk+R0b6tGQdzTrxMAQNF0bPziJH5wS3JH+NCOrfDKyu0QK7fGMxYL+r0Zb+9MKe0jycoGl5Nd1dQ0cRqU9k1IChKSohNCtjod9rDL5WifqRG0WvAEqAEauJjyWQDPNuDyKxrw2rxjt9uW+wO+YRm8BFFV9ZDD4eiSwWsAX48GHfF4PfvtdnvPDF/PzLaNHzEtyjqI2piyECIAzJ04vB9Mnj1agcvpWOFtQA2NFB0sLAi0qCxSlWsoAXY7HPYzbpejjSiKra/+kga7dciU+Z9k4Tp5pXIbfJ8U1vPUy9TZE/YDuD6T18gFNputNBD0ZXy9lNvtXunxeLK5Y5WKorjC6/P2JYR4snhds/jj+BHTfsI6iNqYcg1QpS0AJNZBWBkhZHuGp74u1zYWl1Zf/TBLIhToIitqcXk41vrs+fD+SDReqmp6poreUQCbMnTuvFZZGC8bu7RWZuEalmaziVlJfgBAVdVs3+0TXdeLwxXh06qq5uOaMFOv/wFMnABNX7RMBbCRdRwWlgj4vYEGVj9NmSwrPQ3DOJ3NazLSXlG14nAk1v7s+fDhcCS+XFW1XSmuE6nNviFT5pu5vAB3dXwarBY2m7giEPRnbaecruuhbF3rMq3jsXi3aDS6glKa9u34JsYToAbK1dGEjHM67OttotiGwaWD4Uj8MwbXZam1qmnDwtF4l3PlkVMVkdgKRVG3UkobsgL+ip1JnOXwBKgGoiiu9Ad8WS2gSinNxrR1TQRd04eGK8Jfqqq6nWEc2XJo/Ihpx1kHcTVmT4D4+od6IMAultWZdV0frKpaviVBF1yrafrQSCzR81x5pLw8HC2TZGUDpVRJ8TzvZSQ6LmvmzVj8BRiW8zArURTKAkHfkGyPTgMI6rp+IsvXvFybeCzeNRqNlub4aJDpR38A8ydAywGYehW5CSkBv8/FuOWDEInGZYbXN4siXTeGxOJS33PlEam8IrpakpS1lNLYVV6nAPhPNgLkMu5j1gGYiSgKqwJB/yAGyQ8AQFVVMySkgq7pxeGK8ClVVXewDiZDeALUUNMXLZMBfMg6DitxOOxrbDaReS8OSmmPhCTzaZyvBXTDGBRLSAPOlUeE8xWR9fGEvKqGNiKlQ6bMN1NBRq7+3mIdgFkIorA6EPQPYHlzlomWGA3QNh6Ld4lFY6WU0lzb8GOJxL/OP4iEEJ0QsrXKx2NXf9XF1w4jhFRUee0TKcT4TgrH5ru9Po87rb2+GiIel1rm+DBvfbkNg/ZLSPLg8xURz7nyyOZYXFpRZfH4v5lGx6XThwDyPpkVBGFNMOjvTwiprTZTxmma5mB5/WoImqYVhyvCJzRVq2uzXbPbOH7EtH2sg6iLVDLxyxsLPpnitVZWee3MFF73LpIVJbnaaQG/F4QQMxW3bBGNJUzdDM8E7JTS3pKsDD1fES06Vx7epqjav1gHxaXHvBmLZSTfw/KWIAjrgiF/X9bJDwAYhnEN6xhqcF0sFusYi8aWU0qtvnzgFdYB1FWDhyIJIYcIIb8nhKyv/Ehr4a/pi5adBfBpOs+Zi+x22yq7zdaBdRyXUxS1r64bJ1nHYRECpZBv+fkzR1gHwqXVEtYBsCIIZH0w5O9tohuz1iaebhI1TRsWrggf0zRtN+tg6kkD8DrrIOoqlQTIfdkU2Lgqz4Uppf2QLB3/dA2vH0gI2UYIeZ8Qkmo58r+neHy+OeD3egayDqIGnkgk9gXrICzkDdYBcGn3PoCrLXzPOYSQjcFQoKfJKsOLmqYdYh3EVbSLRWMdKkeDUt09ytp/xo+YZpkGzg2ZAqv6Rv1alc/V/SLejGTm3QPAMwD+mWKcb4NPg9VED/i8EiHEbHPbF+mGMVhJw26HZ95Zie/NW4xH//T2xcf+8tF6/Oj5t/CTP/8Dv3vzI0Sl5OjxnqNf4id//gemvfQOTp4LAwCikozfLPoPzNr+BcnqzzzZzzHzZixOAFjKOo5sIoRsChUEuprxfUlV1WxUAW+oC6NBhzVN28M6mBRYZvoLSN8uMFrD18kHKA1TSqOVXy8FYCeENKrrySunwT5ocJQ5yG6zldnttkw3+GuwSCQuNrRK8i092uOJCSMueaxH2+b446TR+MMPR6NZYRBvlSVrjP1rzU78Yswt+M4tN+L9Tcn3jzdXbsWYId3BaAduXawpmbnwKOsguIzIm8SWELIlVBDoTAhxsY6lOqqqNqRAaba1j0Vj7WOxWKkFRoPCACy1fjFdCdC4Kp+v2PpMCGl6oe4DIaRf5XXPpniNBQ2KMDcd8vs8/VgHUUedE5LcoNoQXVo3hc/tvOSxXu2aQxSSP8YdWjTG2UhypkEUBSiaDlnVYBMEnDwXxrlwHF1bZ7uhe0r+zDoALmPeAZDzLWIIIdtCBYEOhBA361hqout6gHUMKbJpqlZcORpk5gKzb40fMc2s66uq1ZA1QFV3gTkJIesA/ATAlGpeOwbATkLINgB/BHBvPUYDPgDA15J8jfp9ngozv9FcLpGQbzAozdiW4I+27kfvdi0AAPcM7o7n31uFf6/bhVF9O2PRp5swYVjvTF06HU6Dr//JWZW7wV5iHUcmEUK2hwoC7cze+ZxS2op1DPXUPhaNXR+LxZZTSlXWwVTDUtNfQAoJEKVUvGwNUNU6QM9RSvtTSvtSSj+v5rXPUkq7UEp7UEoHUEpT7vE1fdEyA8CfUn1drrLZxJUOu70H6zhS1CQajWekw/nfV26FKBAUd0vWgLyuaRH+9/47Mfu7o/Dl+QgK/R5QAHPf+hTz/1GK8qjpyhO9UDJzodW3v3K1+xMAK02/1Bkh2BkKBdoSQnysY6mDIl3XLbNQ9zI2TdWGhSvCX2iatpd1MFUcRbJzg6WYuhJ0NV4GYKkhtgw5FvB5TT2cURNV1Qbqun44nef8ZNt+bNx/FD8bPeyK9T2UUrxZthVjb+qJN1ZswfjiXiju1g7vrjdVzTENfIo3582bsfgIcrPI5e5gKNiSCMTPOpC60jTN6qUmOsSisevisXgppdQMG4QWjR8xzbS7S2rS4ASIUtqGUpqVVfWVi6HfzMa1zMzn9XxlkTut6jjDkdiX6TrZ5s+P4e3VO/DLcd+A035lqZFPtn+OPte3hM/thKxqIISAEAJZM9WN+D9KZi40fedkLi2eYx1Amu0JFQSaCwIJsg4kFaqq5kJZAruqqsXhivDnmqaxrLxMAfyV4fXrzSzFqVLxPIDvsg6CFVEUVzoddmad3tPBMGg/WVE3Ox32lEax5r39KXYePoVwXMIDT7+Oe4t7461V26DqBn69KNk7tEPzxnj49mQ3EFnV8Om2/fjNxG8CAO4a0BW///snsIkCpt49LL1/qIZ5hnUAXNZ8DGAvANMVLa2HvaGCQFNBECyV/ACApmlmqk3UUB1j0Zhit9uXuz3uIQyKTi4ZP2KamRdn14iYuCZKjeZOHL4RwI2s42DgZEEo4BUIsdouhup8XlgQaGuG8viMbS2ZubAX6yC47Jk6e8KjAP7AOo4G2h8qCBQKglDEOpB62l9UVNSedRAZsMfn89lFm5jWjgy1MAB0Gz9imiUrV1ttDdAFv2cdAAtej/tYjiQ/AHB9PCE1aFt8juCjP/lnIay9Jf5AqCAQsnDyAwBtTLqTqqE6RaPRVvFYfDmlNBvz/G9aNfkBrJsALQGwlXUQ2SQKwiqX09GXdRzpJElKN8MwzrOOg6GjABazDoLLrnkzFsdg3Zu4g6GCgF8QhMasA2kguwVaYtSXQ1XVYeGK8F5d0w9k8Do6gN9k8PwZZ8kEaPqiZRTADNZxZNHpgN/bmXUQGVAQicYb3CLDwn5dMnMh39WYn54HcIJ1ECk6HAwF3IIgNGEdSDpommblUbi66ByNRlvE4/HSDI0GvTZ+xDQzbcVPmSUTIACYvmjZe6im6nQu8npcBwRBKGAdRyZomj5I0/QrakflgZ2w6M4JruEq+4P9D+s4UnAkGAo4RFFoyjqQdFFVNRenwC7nVBW1OFwR/kzX9XQWEtYBzEzj+Ziw4i6wqh4H8AnrIDJJEIS1LqdzAOs4MsgWjsTChQW5srSpzn5ZMnOhwToIjqkXAUwH0Jp1IFdxLBjyC6IomLqPTKo0Tat3KZG/Lfg3dmzeD3/Aiyfm/RAA8M4by7F94z4QQuAPevDdh+9CqNCPA58dxWsL34fNJuL+n4xGk6aFiMckvPT02/jxL8dnqzdhl2gkKtkd9lK3230TIaShgx+vjh8xbX9aImPIsiNAADB90bJPkdsJ0Lmg39uOdRCZRintLUnKetZxZNHKkpkLc7EgHpeCeTMWKwBmsY7jKk4EQ34qimIL1oGkG6W03n+mgcXd8eP/Hn/JY8PvHIgZcx/C4//7A3Tt3R5L31oJAPjo3bV46GdjUDL+Zqz4MFkIf+lbK/HN0YOz3ZjZVTkatEvX9YMNOI+GHBj9ASyeAFV6nHUAmeJxuz7LgcWGdRKLJ66xQLfjdPkF6wA40/grALNOAZ8KBv2qKIotWQeSIdcYhpFqU24AQPvOreH1XdqG0e35ulGzIqlAZW4j2kQoigpFViHaRJw+dQ7l5yK4oTOzgb9u0Uj02kQ8UUoprc8o9F/Hj5iWE305LZ8ATV+0bC2Af7KOI90EQta7Xc5BrOPIotaxWCIf1nT9s2Tmwnz4c3J1MG/GYg3Az1jHUY2vAkF/QrSJZp+eaxBVVdPaEuNfr3+KX07+A9aX7cSdY4sBALd9axAWvbAUnyxdj2G39cG/Xl+Ou8YNS+dl68OlKEpxOBzeqev6oRRepwKYnaGYss7yCVClRwFEWQeRRhWBgM+qHYvrTVbU3oZh5PLODB3Af7MOgjOXeTMW/xvmuok7HQj6Izab2JZ1IJmmqmo4necrufdm/M/zP0G/IV2x/IONAICWbZriF3P+C1N+fR/OfHkeoUI/KKV46em38X/P/BPhcoa/uii6RyPRa1IYDXp2/IhphzIdVrbkRAI0fdGyo8ihbfFul3OHKOTObosU+MORmKW3VV7FMyUzF1qyZDyXcT+GOW7izgaCvgqbTcz5tYcAoGlaRirR9x3SBVvWXfpfnVKK9/9RhpF3D8F7S1bgjm8PRb+buuHTDzZkIoRUuBVFKY6EIzuu0qj6EIBfZSmmrMiJBKjSMwCY/yQ1FCFkk8ftGsI6DlZ03RisqpplK4vW4nPk8Ho1rmHmzVh8DMATjMM4Hwj4zthstmy1UWBO1/VG6TrXVyfPXfx6+8b9aNr80kLZa0u3o2uv9vD63FCUC42ZAUU2x258SmmPaCTauHI0qLoeWZPGj5iWC01kL7JkL7CazJ04vAeAjbDu9v5oKOArz8UdF6kgBNsLC4LdWceRRgaA4pKZC8tYB8KZ19TZE0Qk3796Mrh8uT/gO2W32zpm8iJvv/Ip9u44BK/fjUd/dS8A4ON3N2Djqj3w+l0AgOF39UeHrq1x+MBJvPPaCthsIsbePxxFTYJIxGW8sXAZvvfI7enaQSUVFhbaU+1JuPAPb2Pf7iOIRuIIBL2449tDsXPLAXx54iwEgaCwURATfjASocJkeQ9FVvHck6/j0ccnQLSJ2L/nCF5f+D5Em4gHHh2Na5qZq6sIIWSr1+ctFEXxwlKMV8ePmHYf06AyIKcSIACYO3H47wH8nHUc9eFyOlZ4Pe6hrOMwA4/btdrtzplF4H8smbnwJ6yD4Mxv6uwJ/ZAs8JrN0fkKf8B33G63Zbza/MH9J+B02rHkrx9fkgA5nXYMGd7zkmMX//kDjBg9AOVnI9i/+yhG3jMI77+1Gh27tUHbG5qlLaZgMPiFzWa7Lm0nzB0xh9OxyeVydSSEdB4/Ylq9dsyZWS5NgV3wGwCW26JHCNnqcbtuYh2HWcQTUhtKaZx1HGlwAHzhM1dH82YsXo9km4xsifj93qPZSH4AoG37ZnB7nVc/EIAgCtAUHaqiQRAFnD1dgXB5LK3JDwCoqvplWk+YO7yKrAyNRqIP52LyA1h3qqhG0xctS8ydOPwhAMtwsRKD6cWDfm8ByXBVrJc/3ojth0/B73Zi1vjhAIAjp8vxSukWqJoOQSD4TnEvXHdNIfafPINXS7fAJop4aHg/XBPyIS4r+NN/1mHKnUOyUcCrWTQaL/X7vcWZvlAGUQD3l8xcmAuJHJc9PwcwDEDXDF8n6vN7D9oddubTzWtLd2LLur1o3roJRt4zCG6PE8W39cY/Fy+H3W7DmO/fig/eXoNb70x/P2hVVRW32331A/PTaw+N+e3brIPIlFwcAcL0Rcs+BvAk6zjqyulwbBDFzNfbGNypNabcOfiSx/6+Zgfu6tsJv7n3G/hWv85YsjrZm/TDrfsx+ZsDcPeALli+Mzmg9u8Nn+H2GztmrXqpomr9dN04npWLZcazJTMXrmAdBGctlX3CxgHIZOIc9/m9BxwmSH76D+2Cn82cgB/9ciz8AQ/ef2s1AODalo0w6ef34IEpJTh3Jgx/0ANQ4PWXPsTf/+8jRMPp+evRdd2TlhPlnmMAJrMOIpNyMgGq9CsApayDuBpCsNPryc7UV4dmjeF1Oi69PoCEktyFkFA0hLzJOyFREKBoBhRVhygSfFURxflYAh2aZ7UwtTscidW2LdPMPgfwGOsgOGuaN2PxbgCZWjeW8Pk9ex0Oe48MnT8lvoAHgiBAEAj6DOmEY4cunZGilGL5+5tw86g++GTpRtx6R1/06HcD1ny6Iy3XNwwjvXNquYEC+P6ksbPKWQeSSTmbAE1ftEwHMB6Amed35YDP505DY7p6u3dID/x99Q5M++tSvLl6O+4e0AUAMKp3B/xt+WYs2/45bunWDm+v3YXR/bOyTOAShmEMUhR1e9Yv3DAJAGP41BfXEPNmLH4JwOtpPq3k9Xl2OxyOXmk+b71FKr7eWb1768ErdkRtWbsXHbq2htvjhHpx+ziBqmrpCqG5YRgV6TpZjpg7aeysj1kHkWk5twaoqumLlp2cO3H4BCTXA5ku2XM47GttNpHpGpflO7/AuCE90Kddc2zYfwx/+XQTppUMRavGITw+5mYAwN4TpxHyukAB/Ok/6yAKBGMHd0fQ48pKjJFo3F5YEDBYJoop+mHJzIXbWAfB5YQfAugLIB2FCWWvz7PT6XT0ScO56uWNl5fh4L4TiEcl/O8v/4Zbbu+Lg/tP4NSxMwCAgiI/SiZ8/ZaoKCq2rN2L7z96BwBg8K3d8dqL/4EoChh7//C0xaVp2mGHw8F8OtAkliJPNm7k3Db46sydOPwJAL9lHcdl9hSGAu0JIVlNQs+EY/jDe6svLoJ+5MV/4ZkH7wIhBJRSPPLiO3juoZKLx1NK8f/+XYZJI/pj0YqtuLNvR5wJx7H/5BncPSDTazS/5nY5yzweSxSIXFAyc2FOz5tz2TV19oQ+AFYBcFzt2FooXq97q9Pl7JemsHKKy+Va4fV6eQkSYDeAgZPGzkprixCzssoddUPNBvAh6yCqUAN+r5Dt5Kc6Ia8be08k7772HDuNa0K+S55f9dlhdG/dFF6XA4qmXxx+VjQ9q3EmJLmDYVCz/6dcBeCnrIPgcsu8GYs3Ani4AafQPF73Fp781ExVVavsGM6kcwDuypfkB8iTESAAmDtxeCMkC4wxL/PusNtK/b7sb+/+84frsPf4GUQlGQG3CyX9OqFpyI/XyrZBNyjsooDvFPdCmyYFAABZ1fCH91bjZ3cOgU0UsO/Eha3xAh4a0Q9NQ/6sxm+32UoDAdNuiz8MoG/JzIW53MyVY2jq7AmzkXo7Fc3jcW9wuZ0DMxFTriCE7CosLOzCOg6GNAAjJo2d9SnrQLIpbxIgAJg7cfh1AFYDuIZhGPsLQ4HWhJCGDGfnKyUY9J2wiWIb1oFcJgpgUMnMhenZlsJxNZg6e8KrACbW8XDd43Gtc7lduVJRPZNihYWFnkzXYjOxyZPGzlrAOohsy5cpMADA9EXLvgAwEkCEUQh6wOdVefJTb45IJGa2ERYDwMRUkh9CiE4I2Vrlo87b5QkhJYSQ7ZWv20gIscK6KC597gdQl9pShtvjWsuTnzrz6rp+lHUQjCzIx+QHyLMECACmL1q2BcBoAEq2r2232cqyVXI+VxkG7SvLykbWcVSiAB4smbnwnRRfl6CU9qzykUrRzo8B9KCU9kTyl+FLKV6bs7B5MxYrAL4F4LNaDqNut2u12+0aXMsx3GU0TTvJOgYGPgHwKOsgWMm7BAi4WCn6u0j+AsuWg36fp38Wr5ezorFEAaU0bUVAGuDhkpkL/y9dJyOEHCKE/J4Qsr7y44r1apTSKP163tqL7P4McyYwb8bi8wBGAfiqmqepy+0sc1tjx6SpqKoqsY4hy9YCGD1p7CwzvJcykZcJEABMX7TsDQBTsnQ5w+/zRAgh2Smck/vaxePSKsYx/KRk5sI/1/O17sumwMZVeS5MKe0H4FkAT1f3YkLIaELIZwDeQ3IUiMsz82YsPghgBJI7dy5yuZwrPR43b6pcD5qm5dP782okFz3nzY6v6uTVIujqzJ04fCaSbTMyxmYTVwT9Pl5jIr3KC0J+QxCEQgbX/nnJzIVz6/tiQkiUUuqr5vFDAG6hlH5BCLEDOEUpLbriBF8fPxTAE5TSb9Q3Fs7aps6e0AvARwAKnS5nqdfrNusuSSs4XFRUlPGejCZQBmDkpLGzoqwDYS1vR4AumL5o2RPIbNXLIwGfl1nl1RwWikTjOxlc94mGJD91QGv4+soDKV0BoB0hpFEG4+FMbN6MxVsADHc6He/z5KfBWlFKcz0pWAGe/FyU9wkQAExftOxJJAuNGWk+NfV5PWcJIbzbcAZomj5Y07T9WbzknJKZC2dl+Brjqnxec/mThJDrL2zVJYT0RrI68NkMx8SZ2LwZizd7fZ5fwNx9D62AqKp6iHUQGVQKYBRPfr7GE6BK0xct+xOA7yBZECotbKJY5nTYTdN0MAeJ4Ug8W/+ZZ5bMXDgjTee6fA1Q1V1gTkLIOiQ7gVe3Ru0eADsJIVsBPAdgHM33eWwOjz/8/A4ANwE4wjoWK1NV9TzrGDLkEySTn9hVj8wjeb8G6HJzJw6/HcDfAbgbeKoTBaGATyAkkIawuFp4Pa61LpdzQIZOrwD4QcnMhX/L0PkvqlwD1IdSeibT1+Jy05wFk1siuSboBtaxWJHNZlsRDAZzbb3mR0i2uEiwDsRs+AjQZaYvWvYe0lAs0edxn+DJT3bE4lIzSqmcgVOfAzAiG8kPx6XD4w8/fxTJkaBtrGOxIl3XQ6xjSLOXANzOk5/q8RGgGsydOLwXgH8ASHlXgCgKq0IBPy9ClkVOh73U5/OkcxHo5wBuL5m5cF8az8lxWTFnwWQvgBcATGAdi8VUFBUVBVkHkQYqgJ9OGjvredaBmBlPgGoxd+LwIgCvARiewsu+Kgj6HYIghDITFVeDaCjkj4mCkI4+b2UAvlUycyFfXMxZ2pwFkycDmI/kYnmuDkKh0HFRFJuzjqMBTgMYM2nsrLq0TMlrfAqsFtMXLTsL4JsAfoc6Vtz1etwHefLDhC8SiX2ehvMsAvANnvxwueDxh59/HnxxdEpUVT3BOoYG2AygD09+6oaPANXR3InDRwP4KwB/TccIgrCmIOgfmL2ouMvQgN+72263danHaxUAj5fMXPhUuoPiONbmLJhchGRyfxvrWMzO4XCU+v1+K9ZUeg3AA3y9T93xBCgFcycO74DkuqBO1Tx9tiDop4Ig8KJ0DBGCnQWhQJcLtXLqaDeSHd23ZigsjmNuzoLJApJV758AH/2vkSAIawoKCqx0I2sAeGzS2FmZLNCak3gClKK5E4f7APwJwMSqj3vcrtVul3MQm6i4qjxu52q321XXf4vnAEwvmbmQ3zVxeWHOgsm3ITkaVGOblTx3sKioqC3rIOroMID/mjR21qesA7EingDV09yJw+9GMhFqLAhkXUEwwDu9m8fJwoJAgBDireWYLwHcXzJz4dJsBcVxZjFnweRWSNY768c6FhPSCwsLFUJIQ2vBZdpLAH42aeysBpVsyWc8AWqAuROHNwbwdCjovzVNu4+4NLHbbaUBv7emefx3kUx+TmczJo4zkzkLJtsB/BTJKbErmvPms0AgsMdut1e31MEMTgB4cNLYWe+zDsTqeAKUBi8/MubbAP4IoCnrWLiLpFDQd0YUxRZVHisH8FjJzIV/ZhQTx5nOnAWTmwF4CsB41rGYhdvtLvN4PENYx3EZimRtp19MGjurgnUwuYAnQGny8iNjCgD8L4AHAKSyAJfLEEEQ1haE/AOQfOP4C5LJz1dso+I4c5qzYHIxgGcBdGUdC2smbImxG8BDk8bOWsU6kFzCE6A0e/mRMb0BzAMwjHEoHACfz7PE6bDPK5m5cC3rWDjO7OYsmGwD8AiA3wLI21Y+hJCthYWFPVnHgWRLpt8DmDtp7CyFdTC5hidAGfLyI2NKkBwR4k0J2TgBYAaAv97/7BKDdTAcZyVzFky+Bsn3r/uQnyPaZ4uKiljukpOQ3KH65KSxs3hz5AzhCVAGvfzIGDuAyUguMixkHE6+qECy9P9T9z+7JMY6GI6zsjkLJg9G8hdxD9axZFsoFPpSFMVsb25RAbwIYM6ksbNSrkhNCNEB7Kjy0OuU0ifr+NoSALOQrCukAfgppbQs1RishCdAWfDyI2OCAH6E5I6LxmyjyVlnATwN4Jn7n13CFwhyXJrMWTBZBDAawM8AWKlAYIP4fL5NTqfzxixdTgfwCoDfTho761B9T0IIiVJK67WjjxDiAxCjlFJCSHcAb1JKO9Y3FivgCVAWvfzIGDeABwFMA9CKcTi54isk11w9f/+zS6Ksg+G4XDZnweQBSCZCdwMQGYeTUU6nc7nP5xuW4ctQJOsx/XrS2FmfNfRkNSVAhJBDAN4AcHPlQxMopTX2TiSEDATwMqXUrKUA0oInQAxUTo1NBPALADmdYWfQ50juWHnx/meXxFkHw3H5ZM6Cya0B/ATJXa85uVhaFMXVoVAoU9X9KwC8CuBPk8bO2pmuk1YzBfY7SukblQnQi5TSOYSQ7wIYSym9o5rXj0ay+XcTALdTStekKzYz4gkQQy8/MoYAuBXJUaHRABxsIzI9DcC/kKzA/fH9zy7hP7wcx9CcBZMDSCZBjwJowzaatNtfVFTUPs3nXINkLZ83J42dlfYbt6uMAN1CKf2CEGIHcIpSWuMib0LIUABPUEq/ke4YzYQnQCbx8iNjigB8F8lkqDPjcMzmMJILAxfe/+ySU6yD4TjuUpXrhO5Gcp1jrvREVAsLCykhpKE3pueRHO15IZ2jPdW5SgJ0M6X0YGUCdJJSWmvjbkLIQQB9KaU5uwuNJ0Am9PIjYwYB+A6AbwG4lm00zJwE8DaAtwCU8q3sHGcNcxZMbgNgDIBvw+K9xgKBwD673V6fUiYGgFVI3rgtmTR2VlaaLV8lAfoTpfRJQsh3AIyjlN552THXAzhQuQi6N4B/A2hBczhJ4AmQiVVOkfVHMhEajdyvKXQUyYTnLQCr+BQXx1lbZdPVMUiODg2AxRZOezyeVW63e3AdDz8D4D8A3gfwHxb1e6pZA/QBpfSxygTo/wCMAiAAGH/5ImhCyC+QnIVQASQATOfb4DnTePmRMZ0BlCC5kn8grN/AMAqgDMByAB8D2MSTHo7LTXMWTC4AMALASADfBGD6BtJ2u700EAjU1FTZALAByYTnfQAbJ42dZcqR6soEqE8uT2fVB0+ALOrlR8bYAPQCMBTATQCGAGBZubQuIgDWIpnwfApgw/3PLtGYRsRxXNbNWTCZIPn+NQRAdyQLLXYB4GYZ1+UIIZsKCwsv1ALSAOwCsAnAJ2A0ylMfPAGqHk+AckTldFl7JN9EuiDZ0LALktNm2d5dZgD4AsA2ANurfBzkIzwcx1WnciF1eyQTogtJUXewqZn2JYDPKhOg/QA2A9g+aewsiUEsXIbwBCjHVY4UtQdwHZILqi98NKvydRCAB4CtllMZAOKVHzEkR3NOADhW5eNo5efDvA0Fx3HpMGfB5BCSiVAXJCvpBwGEavlsr+Y0cSRr79T2cRzAZwD2PP7w8+cz8ofhTIUnQNxFlQUaXUi+gdgqPyQA8fufXcLvfDiOM705Cya7kUyEXADCACoef/h5PtXOXYEnQBzHcXmuIU00q5yjL5Jr/MZRSpekMz6Oy4Tapjw4juO4/JCglPas74sJISKA3yO5DZzjLEFgHQDHcRxnToSQQ4SQ3xNC1ld+XF/DoT9Gsn7XV1kMj+MahCdAHMdxnJsQsrXKx7gqz4Uppf2QbD789OUvJIQ0R7JQ65+yEyrHpQefAuM4juNqmwJ7rcrn+dU8/zSAX1BKdUJIBkLjuMzgCZCF8YWLHMdlAa3h6wv6AHi9MvlpBGAUIUSjlP4zC7FxXL3xBMja+MJFjuMybRyAJys/r7n8SUpp2wtfE0L+AuBdnvxwVsAToBxUWfb8DSR7hgHAhMsb31W6sHCxb5ZC4zjOnNyEkK1Vvv+AUvpY5ddOQsg6VDbRzHpkHJchPAGytsvftH5HKX2j8uswpbQfIeS7SM7R31H1hVUWLt4CngBxXF6jlNbWpf05Sulv63ie76cnIo7LPJ4AWRtfuMhxHMdx9cAToNzFFy5yHNcglNI2rGPguEzhdYBy17gqn6tduEgpbVP5BrcEwGSe/HAcx3H5go8AWRtfuMhxHMdx9cCboeagyl1gfSilZ1jHwnEcx3FmxKfAOI7jOI7LO3wEiOM4juO4vMNHgDiO4ziOyzs8AeI4juM4Lu/wBIjjOI7juLzDEyCO4ziO4/IOT4A4juM4jss7PAHiOI7jOC7v8ASI4ziO47i8wxMgjuM4juPyDk+AOI7jOI7LOzwB4jiO4zgu7/AEiOM4juO4vMMTII7jOI7j8g5PgDiO4ziOyzs8AeI4juM4Lu/wBIjjOI7juLzz/wFoMYjCFy6s0QAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# age groups\n", "ages = star_wars.groupby(\"Age\").mean()\n", "\n", "# pie charts for age-group rankings\n", "labels = ep_index\n", "colors1 = [\"#758bfd\", \"#92a2fe\", \"#aeb8fe\", \"#b38cf5\", \"#a663cc\", \"#6f2dbd\"]\n", "colors2 = [\"#d8e8f3\", \"#c0d2de\", \"#94aab9\", \"#8499a6\", \"#7d93a3\", \"#70889c\"]\n", "colors3 = [\"#cd9777\", \"#c38e70\", \"#b07d62\", \"#9d6b53\", \"#8a5a44\", \"#774936\"]\n", "colors4 = [\"#b5c99a\", \"#a6b98b\", \"#97a97c\", \"#849669\", \"#728359\", \"#606f49\"]\n", "fig, ((ax1,ax2),(ax3,ax4)) = plt.subplots(2,2,figsize=(10,10))\n", "# 18-29\n", "labels = ep_index\n", "values = ages.iloc[0,8:14]\n", "ax1.pie(values, labels = labels, colors = colors1, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "# for i, value in enumerate(values):\n", "# labels[i].set_color(value.get_facecolor())### Star Trek Fan Impressions\n", "# ax1.set_label(color=\"#a663cc\")\n", "ax1.set_title(\"18-29\", size=15, color=\"#a663cc\")\n", "# 30-44\n", "labels = ep_index\n", "values = ages.iloc[1,8:14]\n", "ax2.pie(values, labels = labels, colors = colors2, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax2.set_title(\"30-44\", size=15, color=\"#8499a6\")\n", "# 45-60\n", "labels = ep_index\n", "values = ages.iloc[2,8:14]\n", "ax3.pie(values, labels = labels, colors = colors3, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax3.set_title(\"45-60\", size=15, color=\"#9d6b53\")\n", "# >60\n", "labels = ep_index\n", "values = ages.iloc[3,8:14]\n", "ax4.pie(values, labels = labels, colors = colors4, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax4.set_title(\">60\", size=15, color=\"#849669\")\n", "fig.suptitle(\"Episode Rankings by Age Group\", size=20)\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Age Group Impressions\n", "* All age groups prefer Episode 5\n", "* 30-44 and 45-60 year olds have the strongest preference for the last three movies in the series.\n", "* People over 60 like all the movies about the same, except for Episode III, which is understandable.\n", "* People who are 18-29 years old do not like the first three movies in the series. Discerning taste, young padawans.\n", "\n", "### Household Income Groups" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RespondentIDSeen any of the first 6 Star Wars movies?seen_ep_1seen_ep_2seen_ep_3seen_ep_4seen_ep_5seen_ep_6rank_ep_1rank_ep_2rank_ep_3rank_ep_4rank_ep_5rank_ep_6
Household Income
$0 - $24,9993.290153e+090.7101450.5434780.4782610.4637680.5289860.6594200.6231883.1836733.0408162.8979593.8265314.2551023.795918
$25,000 - $49,9993.290133e+090.7903230.6129030.5053760.4892470.5215050.6935480.6666673.5306123.1292522.7482993.3537414.5170073.721088
$50,000 - $99,9993.290102e+090.7986580.6644300.5570470.5268460.5838930.7248320.6879193.1729962.8235292.6596643.9117654.5546223.886555
$100,000 - $149,9993.290235e+090.8156030.6170210.5319150.5177300.5886520.7588650.7517733.2434782.8260872.5964913.6000004.6000004.147826
$150,000+3.290021e+090.8105260.7157890.5684210.5684210.6421050.7473680.7473683.2597402.6233772.4285714.0389614.6753253.974026
\n", "
" ], "text/plain": [ " RespondentID Seen any of the first 6 Star Wars movies? \\\n", "Household Income \n", "$0 - $24,999 3.290153e+09 0.710145 \n", "$25,000 - $49,999 3.290133e+09 0.790323 \n", "$50,000 - $99,999 3.290102e+09 0.798658 \n", "$100,000 - $149,999 3.290235e+09 0.815603 \n", "$150,000+ 3.290021e+09 0.810526 \n", "\n", " seen_ep_1 seen_ep_2 seen_ep_3 seen_ep_4 seen_ep_5 \\\n", "Household Income \n", "$0 - $24,999 0.543478 0.478261 0.463768 0.528986 0.659420 \n", "$25,000 - $49,999 0.612903 0.505376 0.489247 0.521505 0.693548 \n", "$50,000 - $99,999 0.664430 0.557047 0.526846 0.583893 0.724832 \n", "$100,000 - $149,999 0.617021 0.531915 0.517730 0.588652 0.758865 \n", "$150,000+ 0.715789 0.568421 0.568421 0.642105 0.747368 \n", "\n", " seen_ep_6 rank_ep_1 rank_ep_2 rank_ep_3 rank_ep_4 \\\n", "Household Income \n", "$0 - $24,999 0.623188 3.183673 3.040816 2.897959 3.826531 \n", "$25,000 - $49,999 0.666667 3.530612 3.129252 2.748299 3.353741 \n", "$50,000 - $99,999 0.687919 3.172996 2.823529 2.659664 3.911765 \n", "$100,000 - $149,999 0.751773 3.243478 2.826087 2.596491 3.600000 \n", "$150,000+ 0.747368 3.259740 2.623377 2.428571 4.038961 \n", "\n", " rank_ep_5 rank_ep_6 \n", "Household Income \n", "$0 - $24,999 4.255102 3.795918 \n", "$25,000 - $49,999 4.517007 3.721088 \n", "$50,000 - $99,999 4.554622 3.886555 \n", "$100,000 - $149,999 4.600000 4.147826 \n", "$150,000+ 4.675325 3.974026 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# incomes\n", "incomes = star_wars.groupby(\"Household Income\").mean()\n", "new_index = [\"$0 - $24,999\", \"$25,000 - $49,999\", \"$50,000 - $99,999\", \"$100,000 - $149,999\", \"$150,000+\"]\n", "incomes = incomes.reindex(new_index)\n", "incomes" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# income % seen bar chart\n", "from matplotlib.pyplot import cm\n", "my_cmap = cm.get_cmap(\"Spectral\")\n", "columns1 = incomes.iloc[:,2:8]\n", "columns1.plot(kind=\"barh\", figsize=(7,5), width=0.7, colormap=my_cmap)\n", "plt.legend(bbox_to_anchor=(1.04,0), loc=\"lower left\", borderaxespad=0)\n", "plt.ylabel(\"\")\n", "plt.title(\"Episode % Seen by Income\")\n", "plt.show()\n", "\n", "# income rank bar chart\n", "my_cmap = cm.get_cmap(\"Spectral\")\n", "columns2 = incomes.iloc[:,8:14]\n", "columns2.plot(kind=\"barh\", figsize=(7,5), width=0.7, colormap=my_cmap)\n", "plt.legend(bbox_to_anchor=(1.04,0), loc=\"lower left\", borderaxespad=0)\n", "plt.ylabel(\"\")\n", "plt.title(\"Episode Ranking by Income\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Household Income Impressions\n", "* Notably, the higher your household income the more Star Wars movies you see. I'm not sure if there's a different way to interpret this or if it hold true for movies in general.\n", "* The breakdown by household income is very consistent among the groups, both in viewership and ranking.\n", "* The relative viewership between Episodes I and IV seems to change from group to group.\n", "* Episodes IV, V, and VI are consistently ranked highest.\n", "* There is some variation in the relative rankings of Episodes IV and VI.\n", "\n", "### Education" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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RespondentIDSeen any of the first 6 Star Wars movies?seen_ep_1seen_ep_2seen_ep_3seen_ep_4seen_ep_5seen_ep_6rank_ep_1rank_ep_2rank_ep_3rank_ep_4rank_ep_5rank_ep_6
Education
Less than high school degree3.289831e+090.4285710.4285710.4285710.4285710.4285710.4285710.4285712.0000001.6666673.3333334.3333336.0000003.666667
High school degree3.290433e+090.6761900.5428570.4571430.4571430.5047620.5809520.5714293.1971833.2535212.8732393.7887324.1267613.760563
Some college or Associate degree3.290179e+090.7743900.6432930.5670730.5579270.5487800.6920730.6798783.4488193.1141732.8976383.4960634.2165353.826772
Bachelor degree3.290151e+090.8161990.6417450.5295950.5077880.6074770.7570090.7289723.1717562.7099242.4789273.8854964.6908404.068702
Graduate degree3.289917e+090.8218180.6509090.5418180.5054550.5927270.7527270.7309093.1777782.7743362.5000003.8008854.6769914.079646
\n", "
" ], "text/plain": [ " RespondentID \\\n", "Education \n", "Less than high school degree 3.289831e+09 \n", "High school degree 3.290433e+09 \n", "Some college or Associate degree 3.290179e+09 \n", "Bachelor degree 3.290151e+09 \n", "Graduate degree 3.289917e+09 \n", "\n", " Seen any of the first 6 Star Wars movies? \\\n", "Education \n", "Less than high school degree 0.428571 \n", "High school degree 0.676190 \n", "Some college or Associate degree 0.774390 \n", "Bachelor degree 0.816199 \n", "Graduate degree 0.821818 \n", "\n", " seen_ep_1 seen_ep_2 seen_ep_3 seen_ep_4 \\\n", "Education \n", "Less than high school degree 0.428571 0.428571 0.428571 0.428571 \n", "High school degree 0.542857 0.457143 0.457143 0.504762 \n", "Some college or Associate degree 0.643293 0.567073 0.557927 0.548780 \n", "Bachelor degree 0.641745 0.529595 0.507788 0.607477 \n", "Graduate degree 0.650909 0.541818 0.505455 0.592727 \n", "\n", " seen_ep_5 seen_ep_6 rank_ep_1 rank_ep_2 \\\n", "Education \n", "Less than high school degree 0.428571 0.428571 2.000000 1.666667 \n", "High school degree 0.580952 0.571429 3.197183 3.253521 \n", "Some college or Associate degree 0.692073 0.679878 3.448819 3.114173 \n", "Bachelor degree 0.757009 0.728972 3.171756 2.709924 \n", "Graduate degree 0.752727 0.730909 3.177778 2.774336 \n", "\n", " rank_ep_3 rank_ep_4 rank_ep_5 rank_ep_6 \n", "Education \n", "Less than high school degree 3.333333 4.333333 6.000000 3.666667 \n", "High school degree 2.873239 3.788732 4.126761 3.760563 \n", "Some college or Associate degree 2.897638 3.496063 4.216535 3.826772 \n", "Bachelor degree 2.478927 3.885496 4.690840 4.068702 \n", "Graduate degree 2.500000 3.800885 4.676991 4.079646 " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "education = star_wars.groupby(\"Education\").mean()\n", "education = education.reset_index()\n", "education = education.reindex(index = [3,2,4,0,1]).set_index(\"Education\")\n", "# education = education.sort_index(ascending=False)\n", "education" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# income % seen bar chart\n", "from matplotlib.pyplot import cm\n", "my_cmap = cm.get_cmap(\"turbo\")\n", "columns1 = education.iloc[:,2:8]\n", "columns1.plot(kind=\"barh\", figsize=(7,5), width=0.7, colormap=my_cmap)\n", "plt.legend(bbox_to_anchor=(1.04,0), loc=\"lower left\", borderaxespad=0)\n", "plt.title(\"Episode % Seen by Education Level\")\n", "plt.ylabel(\"\")\n", "plt.show()\n", "\n", "# income rank bar chart\n", "my_cmap = cm.get_cmap(\"turbo\")\n", "columns2 = education.iloc[:,8:14]\n", "columns2.plot(kind=\"barh\", figsize=(7,5), width=0.7, colormap=my_cmap)\n", "plt.legend(bbox_to_anchor=(1.04,0), loc=\"lower left\", borderaxespad=0)\n", "plt.ylabel(\"\")\n", "plt.title(\"Episode Ranking by Education Level\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Some college or Associate degree 328\n", "Bachelor degree 321\n", "Graduate degree 275\n", "High school degree 105\n", "Less than high school degree 7\n", "Name: Education, dtype: int64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "star_wars[\"Education\"].value_counts()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Education Impressions\n", "* Similar to household income, the higher levels of education have higher levels of viewership. This is particularly apparent between people with and without Bachelors level degrees or above. However, with education levels it is possible that there is an age component that would limit the number of movies a person had seen. While young people do see a lot of movies, by the time of this survey the original three were more than twice the age of anyone in high school and even the more recent movies were quite old.\n", "* Again similar to household income, the rankings are very consistent among the groups with Episodes IV, V, and VI in the top spots.\n", "* There are only seven people in the `Less than high school degree` group. This is too small of a sample size to be meaningfully interpreted. Though it appears they really like Empire.\n", "\n", "### Geographic Region" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RespondentIDSeen any of the first 6 Star Wars movies?seen_ep_1seen_ep_2seen_ep_3seen_ep_4seen_ep_5seen_ep_6rank_ep_1rank_ep_2rank_ep_3rank_ep_4rank_ep_5rank_ep_6
Location (Census Region)
East North Central3.290208e+090.7403310.5635360.4917130.4917130.5248620.7071820.6685083.2761192.9253732.5895523.6417914.6268663.940299
East South Central3.290230e+090.8421050.6315790.5526320.5526320.7105260.8157890.7631583.1250002.4062502.6250004.1250004.7500003.968750
Middle Atlantic3.290092e+090.7622950.6475410.5655740.5737700.6229510.6803280.6967213.0752692.7849462.5869573.9354844.5591404.075269
Mountain3.290069e+090.8607590.7215190.5949370.5822780.6835440.7721520.7468353.0000003.0000002.7205884.0294124.2058824.044118
New England3.290039e+090.8000000.6666670.5866670.5733330.6400000.7333330.7200002.7966102.8333332.8666673.9166674.4833334.133333
Pacific3.290092e+090.8342860.6857140.5657140.5257140.6000000.7028570.7085713.4178083.1780822.8287673.7808224.2602743.534247
South Atlantic3.290179e+090.7823530.6117650.4823530.4647060.5470590.7352940.7058823.3157892.8195492.5563913.5939854.6015044.112782
West North Central3.290312e+090.8172040.6559140.5483870.5268820.5268820.7204300.6774193.3289472.8947372.6447373.6315794.4473684.052632
West South Central3.289979e+090.6909090.5636360.5272730.4545450.4454550.6363640.6272733.6052632.8815792.5263163.3421054.5789474.065789
\n", "
" ], "text/plain": [ " RespondentID \\\n", "Location (Census Region) \n", "East North Central 3.290208e+09 \n", "East South Central 3.290230e+09 \n", "Middle Atlantic 3.290092e+09 \n", "Mountain 3.290069e+09 \n", "New England 3.290039e+09 \n", "Pacific 3.290092e+09 \n", "South Atlantic 3.290179e+09 \n", "West North Central 3.290312e+09 \n", "West South Central 3.289979e+09 \n", "\n", " Seen any of the first 6 Star Wars movies? \\\n", "Location (Census Region) \n", "East North Central 0.740331 \n", "East South Central 0.842105 \n", "Middle Atlantic 0.762295 \n", "Mountain 0.860759 \n", "New England 0.800000 \n", "Pacific 0.834286 \n", "South Atlantic 0.782353 \n", "West North Central 0.817204 \n", "West South Central 0.690909 \n", "\n", " seen_ep_1 seen_ep_2 seen_ep_3 seen_ep_4 \\\n", "Location (Census Region) \n", "East North Central 0.563536 0.491713 0.491713 0.524862 \n", "East South Central 0.631579 0.552632 0.552632 0.710526 \n", "Middle Atlantic 0.647541 0.565574 0.573770 0.622951 \n", "Mountain 0.721519 0.594937 0.582278 0.683544 \n", "New England 0.666667 0.586667 0.573333 0.640000 \n", "Pacific 0.685714 0.565714 0.525714 0.600000 \n", "South Atlantic 0.611765 0.482353 0.464706 0.547059 \n", "West North Central 0.655914 0.548387 0.526882 0.526882 \n", "West South Central 0.563636 0.527273 0.454545 0.445455 \n", "\n", " seen_ep_5 seen_ep_6 rank_ep_1 rank_ep_2 \\\n", "Location (Census Region) \n", "East North Central 0.707182 0.668508 3.276119 2.925373 \n", "East South Central 0.815789 0.763158 3.125000 2.406250 \n", "Middle Atlantic 0.680328 0.696721 3.075269 2.784946 \n", "Mountain 0.772152 0.746835 3.000000 3.000000 \n", "New England 0.733333 0.720000 2.796610 2.833333 \n", "Pacific 0.702857 0.708571 3.417808 3.178082 \n", "South Atlantic 0.735294 0.705882 3.315789 2.819549 \n", "West North Central 0.720430 0.677419 3.328947 2.894737 \n", "West South Central 0.636364 0.627273 3.605263 2.881579 \n", "\n", " rank_ep_3 rank_ep_4 rank_ep_5 rank_ep_6 \n", "Location (Census Region) \n", "East North Central 2.589552 3.641791 4.626866 3.940299 \n", "East South Central 2.625000 4.125000 4.750000 3.968750 \n", "Middle Atlantic 2.586957 3.935484 4.559140 4.075269 \n", "Mountain 2.720588 4.029412 4.205882 4.044118 \n", "New England 2.866667 3.916667 4.483333 4.133333 \n", "Pacific 2.828767 3.780822 4.260274 3.534247 \n", "South Atlantic 2.556391 3.593985 4.601504 4.112782 \n", "West North Central 2.644737 3.631579 4.447368 4.052632 \n", "West South Central 2.526316 3.342105 4.578947 4.065789 " ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "regions = star_wars.groupby(\"Location (Census Region)\").mean()\n", "regions" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# pie charts for age-group rankings\n", "labels = ep_index\n", "# my_cmap = cm.get_cmap(\"tab10\")\n", "colors1 = [\"#623A73\", \"#805174\", \"#9F6976\", \"#BD8078\", \"#DC9779\", \"#FAAE7B\"]\n", "colors2 = [\"#d8e8f3\", \"#c0d2de\", \"#94aab9\", \"#8499a6\", \"#7d93a3\", \"#70889c\"]\n", "colors3 = [\"#cd9777\", \"#c38e70\", \"#b07d62\", \"#9d6b53\", \"#8a5a44\", \"#774936\"]\n", "colors4 = [\"#b5c99a\", \"#a6b98b\", \"#97a97c\", \"#849669\", \"#728359\", \"#606f49\"]\n", "colors5 = [\"#95F9C3\", \"#7ED9B4\", \"#67B9A4\", \"#509995\", \"#397885\", \"#225876\"]\n", "fig, ((ax1,ax2,ax3),(ax4,ax5,ax6),(ax7,ax8,ax9)) = plt.subplots(3,3,figsize=(10,10))\n", "# East North Central\n", "labels = ep_index\n", "values = regions.iloc[0,8:14]\n", "ax1.pie(values, labels = labels, colors=colors1, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax1.set_title(\"East North Central\", size=15, color=\"#805174\")\n", "# East South Central\n", "labels = ep_index\n", "values = regions.iloc[1,8:14]\n", "ax2.pie(values, labels = labels, colors = colors1, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax2.set_title(\"East South Central\", size=15, color=\"#805174\")\n", "# Middle Atlantic\n", "labels = ep_index\n", "values = regions.iloc[2,8:14]\n", "ax3.pie(values, labels = labels, colors = colors2, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax3.set_title(\"Middle Atlantic\", size=15, color=\"#c0d2de\")\n", "# Mountain\n", "labels = ep_index\n", "values = regions.iloc[3,8:14]\n", "ax4.pie(values, labels = labels, colors = colors4, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax4.set_title(\"Mountain\", size=15, color=\"#a6b98b\")\n", "# New England\n", "labels = ep_index\n", "values = regions.iloc[4,8:14]\n", "ax5.pie(values, labels = labels, colors = colors2, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax5.set_title(\"New England\", size=15, color=\"#c0d2de\")\n", "# Pacific\n", "labels = ep_index\n", "values = regions.iloc[5,8:14]\n", "ax6.pie(values, labels = labels, colors = colors3, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax6.set_title(\"Pacific\", size=15, color=\"#c38e70\")\n", "# South Atlantic\n", "labels = ep_index\n", "values = regions.iloc[6,8:14]\n", "ax7.pie(values, labels = labels, colors = colors2, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax7.set_title(\"South Atlantic\", size=15, color=\"#c0d2de\")\n", "# West North Central\n", "labels = ep_index\n", "values = regions.iloc[7,8:14]\n", "ax8.pie(values, labels = labels, colors = colors5, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax8.set_title(\"West North Central\", size=15, color=\"#7ED9B4\")\n", "# West South Central\n", "labels = ep_index\n", "values = regions.iloc[8,8:14]\n", "ax9.pie(values, labels = labels, colors = colors5, autopct = '%1.0f%%', startangle=90, counterclock=False)\n", "ax9.set_title(\"West South Central\", size=15, color=\"#7ED9B4\")\n", "fig.suptitle(\"Episode Rankings by Geographic Region\", size=20)\n", "\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Geographic Region Impressions\n", "* There is very little difference among the geographic regions.\n", "* The Pacific states have consistent internal rankings.\n", "* The East South Central states show a dislike for Episode II and the strongest preference for Episode V.\n", "* Just like the other groups, Episode V is the favorite.\n", "\n", "# Conclusions\n", "* Empire Strikes Back is the highest ranked and most seen of the first six movies in the series.\n", "* Episode I has been seen by a lot of respondents. The pod races are pretty fun.\n", "* There is a linear correlation between income and the number of Star Wars movies seen. This holds true, but to a lesser extent, in education levels." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 1 }