{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Exercice 4\n", "\n", "*Les données utilisées dans cet exercice sont open source et ne sont pas en relation avec ma thèse parce que les données utilisées dans la thèse sont confidentielles.*\n", "\n", "## Exploration du répertoire\n", "\n", "D'abord, on fait un git pull pour récupérer les données qu'on a téléversé dans le répertoire GIT.
\n", "**Attention!** Si tu as commencé à écrire dans le notebook, enregistre les données pour ne pas les perdre.
\n", "Ensuite, on s'assure que nous avons les données dans le répertoire avec la commande \"ls\".\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bar-chart.html exercice_en.Rmd exercice.ipynb exercice_R_en.org\r\n", "data.csv exercice_fr.ipynb exercice_python_en.org exercice_R_fr.org\r\n", "exercice_en.ipynb exercice_fr.Rmd exercice_python_fr.org\r\n" ] } ], "source": [ "ls" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exploration du jeu de données\n", "Maintenant qu'on a les données, on va commencer à les explorer.
\n", "**NB:** les données suivantes sont déjà formattées en .csv.\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Reading Data\n", "import pandas as pd\n", "import numpy as np\n", "df = pd.read_csv(\"./data.csv\", sep=\"\t\") " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "7569\n" ] }, { "data": { "text/html": [ "
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dateedited_byjobresearched_bysourcestatestatementsubjectstruth
02013-08-29Angie Drobnic HolanRepublicanJon GreenbergScott WalkerWisconsinIn the Wisconsin health insurance exchange, \"t...['Health Care']3
12013-08-29Angie Drobnic HolanRepublicanLouis JacobsonMike HuckabeeArkansas\"America’s gun-related homicide rate … would b...['Crime', 'Guns', 'Pundits']0
22013-08-29Greg BorowskiNaNTom KertscherLeague of Conservation VotersNaNSays U.S. Sen. Ron Johnson voted to let oil an...['Climate Change', 'Energy', 'Environment', 'T...5
32013-08-28Aaron SharockmanNaNRochelle KoffNational Republican Congressional CommitteeNaN\"Congressman Patrick Murphy voted to keep the ...['Health Care']2
42013-08-28Aaron SharockmanNaNAngie Drobnic HolanJanet NapolitanoNaNThe 2010 DREAM Act failed despite \"strong bipa...['Bipartisanship', 'Immigration']2
\n", "
" ], "text/plain": [ " date edited_by job researched_by \\\n", "0 2013-08-29 Angie Drobnic Holan Republican Jon Greenberg \n", "1 2013-08-29 Angie Drobnic Holan Republican Louis Jacobson \n", "2 2013-08-29 Greg Borowski NaN Tom Kertscher \n", "3 2013-08-28 Aaron Sharockman NaN Rochelle Koff \n", "4 2013-08-28 Aaron Sharockman NaN Angie Drobnic Holan \n", "\n", " source state \\\n", "0 Scott Walker Wisconsin \n", "1 Mike Huckabee Arkansas \n", "2 League of Conservation Voters NaN \n", "3 National Republican Congressional Committee NaN \n", "4 Janet Napolitano NaN \n", "\n", " statement \\\n", "0 In the Wisconsin health insurance exchange, \"t... \n", "1 \"America’s gun-related homicide rate … would b... \n", "2 Says U.S. Sen. Ron Johnson voted to let oil an... \n", "3 \"Congressman Patrick Murphy voted to keep the ... \n", "4 The 2010 DREAM Act failed despite \"strong bipa... \n", "\n", " subjects truth \n", "0 ['Health Care'] 3 \n", "1 ['Crime', 'Guns', 'Pundits'] 0 \n", "2 ['Climate Change', 'Energy', 'Environment', 'T... 5 \n", "3 ['Health Care'] 2 \n", "4 ['Bipartisanship', 'Immigration'] 2 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# cChecking Data\n", "print(len(df))\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "df['year'] = df.date.apply(lambda x: int(x[:4]))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "date 0\n", "edited_by 151\n", "job 1477\n", "researched_by 31\n", "source 0\n", "state 1477\n", "statement 0\n", "subjects 0\n", "truth 0\n", "year 0\n", "dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking Missing Data\n", "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "6092\n" ] }, { "data": { "text/plain": [ "date 0\n", "edited_by 138\n", "job 0\n", "researched_by 28\n", "source 0\n", "state 0\n", "statement 0\n", "subjects 0\n", "truth 0\n", "year 0\n", "dtype: int64" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Dropping all missing data\n", "df_ = df.dropna(subset=['job'])\n", "print(len(df_))\n", "df_.isnull().sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Statistiques de base" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "There are 19 unique jobs.\n", "There are 115 unique editors.\n", "There are 59 unique states.\n" ] } ], "source": [ "print(\"There are \",len(set(df_.job)), \" unique jobs.\")\n", "print(\"There are \",len(set(df_.edited_by)), \" unique editors.\")\n", "print(\"There are \",len(set(df_.state)), \" unique states.\")" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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job
year2007200820092010201120122013
state
Alabama0017023
Alaska2211311722
Arizona12141730203
Arkansas1122073113
California41113220316
Colorado5013121
Connecticut5631131
Delaware11183137161
District of Columbia0010551
Florida0121289186148100
Georgia025491309772
Hawaii0000001
Idaho0000100
Illinois1415362666712744
Indiana0085432
Iowa0051102
Kansas3011211
Kentucky006114014
Louisiana0048300
Maine0000001
Maryland0012151244
Massachusetts281127481220
Michigan0003453
Minnesota00784126
Mississippi0010100
Missouri0040100
Montana0100000
Nebraska0010100
Nevada00015512
New Hampshire00035327
New Jersey03307914642
New Mexico11102531
New York52649193068
North Carolina11204201
North Dakota0001200
Ohio611411018113573
Oklahoma0043205
Oregon00254738827
Pennsylvania002516360
Rhode Island00164899359
Rhode island0000010
South Carolina0175542
South Dakota0000010
Tennesse0001000
Tennessee114110623
Texas729268209157110
United Kingdom0010000
Utah00321532
Vermont0155312
Virgina0001110
Virginia016401137046
Washington0004011
Washington state0002002
Washington, D.C.06922142010
West Virginia0023001
Wisconsin0008517913967
Wyoming0021100
ohio0002100
the United States0000010
\n", "
" ], "text/plain": [ " job \n", "year 2007 2008 2009 2010 2011 2012 2013\n", "state \n", "Alabama 0 0 1 7 0 2 3\n", "Alaska 2 21 13 11 7 2 2\n", "Arizona 12 141 7 30 2 0 3\n", "Arkansas 11 22 0 7 3 11 3\n", "California 4 1 11 32 20 3 16\n", "Colorado 5 0 1 3 1 2 1\n", "Connecticut 5 6 3 1 1 3 1\n", "Delaware 11 18 3 13 7 16 1\n", "District of Columbia 0 0 1 0 5 5 1\n", "Florida 0 1 21 289 186 148 100\n", "Georgia 0 2 5 49 130 97 72\n", "Hawaii 0 0 0 0 0 0 1\n", "Idaho 0 0 0 0 1 0 0\n", "Illinois 14 153 62 66 67 127 44\n", "Indiana 0 0 8 5 4 3 2\n", "Iowa 0 0 5 1 1 0 2\n", "Kansas 3 0 1 1 2 1 1\n", "Kentucky 0 0 6 11 4 0 14\n", "Louisiana 0 0 4 8 3 0 0\n", "Maine 0 0 0 0 0 0 1\n", "Maryland 0 0 12 15 12 4 4\n", "Massachusetts 28 11 2 7 48 122 0\n", "Michigan 0 0 0 3 4 5 3\n", "Minnesota 0 0 7 8 41 2 6\n", "Mississippi 0 0 1 0 1 0 0\n", "Missouri 0 0 4 0 1 0 0\n", "Montana 0 1 0 0 0 0 0\n", "Nebraska 0 0 1 0 1 0 0\n", "Nevada 0 0 0 15 5 1 2\n", "New Hampshire 0 0 0 3 5 32 7\n", "New Jersey 0 3 3 0 79 146 42\n", "New Mexico 11 1 0 2 5 3 1\n", "New York 52 64 9 19 30 6 8\n", "North Carolina 11 2 0 4 2 0 1\n", "North Dakota 0 0 0 1 2 0 0\n", "Ohio 6 1 14 110 181 135 73\n", "Oklahoma 0 0 4 3 2 0 5\n", "Oregon 0 0 2 54 73 88 27\n", "Pennsylvania 0 0 2 5 16 36 0\n", "Rhode Island 0 0 1 64 89 93 59\n", "Rhode island 0 0 0 0 0 1 0\n", "South Carolina 0 1 7 5 5 4 2\n", "South Dakota 0 0 0 0 0 1 0\n", "Tennesse 0 0 0 1 0 0 0\n", "Tennessee 11 4 1 1 0 62 3\n", "Texas 7 2 9 268 209 157 110\n", "United Kingdom 0 0 1 0 0 0 0\n", "Utah 0 0 3 2 15 3 2\n", "Vermont 0 1 5 5 3 1 2\n", "Virgina 0 0 0 1 1 1 0\n", "Virginia 0 1 6 40 113 70 46\n", "Washington 0 0 0 4 0 1 1\n", "Washington state 0 0 0 2 0 0 2\n", "Washington, D.C. 0 6 9 22 14 20 10\n", "West Virginia 0 0 2 3 0 0 1\n", "Wisconsin 0 0 0 85 179 139 67\n", "Wyoming 0 0 2 1 1 0 0\n", "ohio 0 0 0 2 1 0 0\n", "the United States 0 0 0 0 0 1 0" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Number of jobs per state per year\n", "pivot_table = pd.pivot_table(df_, index=['state'], columns=['year'], values=['job'], aggfunc='count', fill_value=0)\n", "pivot_table" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Représentations graphiques \n", "We will start by plotting the Nbr of jobs per year of New York versus Texas." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: plotly in /opt/conda/lib/python3.6/site-packages (4.9.0)\r\n", "Requirement already satisfied: retrying>=1.3.3 in /opt/conda/lib/python3.6/site-packages (from plotly) (1.3.3)\r\n", "Requirement already satisfied: six in /opt/conda/lib/python3.6/site-packages (from plotly) (1.14.0)\r\n" ] } ], "source": [ "# Installing Plotly\n", "import sys\n", "!{sys.executable} -m pip install plotly" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "name": "New York", "type": "bar", "x": [ 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2013, 2012, 2012, 2012, 2012, 2012, 2012, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2011, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2009, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007 ], "y": [ "Independent", "Democrat", "Democrat", "Democrat", "Republican", "Democrat", "Independent", "Democrat", "Republican", "Republican", "Journalist", "Independent", "Journalist", "Democrat", "Journalist", "Activist", "None", "Democrat", "Journalist", "Independent", "None", "None", "Republican", "Democrat", "None", "None", "Republican", "Republican", "Republican", "Republican", "Republican", "Republican", "Republican", "Republican", "Democrat", "Republican", "Republican", "Journalist", "Democrat", "Democrat", "Journalist", "Talk show host", "Republican", "Democrat", "Independent", "Republican", "Republican", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly\n", "import plotly.graph_objs as go\n", "# Create two additional DataFrames to traces\n", "df1 = df_[df_.state == \"New York\"]\n", "df2 = df_[df_.state == \"Texas\"]\n", "# Create two traces, first \"New York\" and second \"Texas\"\n", "trace1 = go.Bar(x=df1[\"year\"], y=df1[\"job\"], name=\"New York\")\n", "trace2 = go.Bar(x=df2[\"year\"], y=df2[\"job\"], name=\"Texas\")\n", "# Fill out data with our traces\n", "data = [trace1, trace2]\n", "# Create layout and specify title, legend and so on\n", "layout = go.Layout(title=\"Nbr of jobs per state per year\",\n", " xaxis=dict(title=\"Year\"),\n", " yaxis=dict(title=\"Count of Jobs\"),\n", " barmode=\"group\")\n", "# Create figure with all prepared data for plot\n", "fig = go.Figure(data=data, layout=layout)\n", "fig" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Republican 3097\n", "Democrat 2347\n", "None 388\n", "Organization 59\n", "Independent 50\n", "Newsmaker 40\n", "Libertarian 22\n", "Name: job, dtype: int64" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checkig the top 7 jobs present in the United states\n", "df_.job.value_counts()[:7]" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([0, 1, 2, 3, 4, 5, 6]), )" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "sns.countplot(df_[df_.job.isin(df_.job.value_counts()[:7].keys())].job)\n", "plt.xticks(rotation=90)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Réflexion\n", "It seems that this database is more about politics since we see that the top 2 jobs are *Republicans* and *Democrats*.
\n", "Let us check the rate of Republicans versus Democrats in the top states of the US.
\n", "But First let us identify the top states of the US." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Texas 762\n", "Florida 745\n", "Illinois 533\n", "Ohio 520\n", "Wisconsin 470\n", "Georgia 355\n", "Rhode Island 306\n", "Name: state, dtype: int64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checkig the top 7 US states present in the dataset\n", "df_.state.value_counts()[:7]" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([0, 1, 2, 3, 4, 5, 6]), )" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.countplot(df_[df_.state.isin(df_.state.value_counts()[:7].keys())].state)\n", "plt.xticks(rotation=90)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let us compare the distribution of the Republican versus Democrat in the top 7 US states" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([0, 1, 2, 3, 4, 5, 6]), )" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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HtFJkW9vmuSy7Ti8mff9zSUngLy3KugQ4WOn+50trOB4cBUzP6/8kUoOmztah7S7/SD2AdLZsDmkbPoMqOShXSA4irdvXSddjb6mYpUPri/b3IUjtnr6Y3+8o4KCIWBARU0mVowdJiX4YqRV5s6rfc43H7OU0t362OibpGlKjsbOLjsWsqyjdM35CRHyi6FjMuoL7sjYzMysBJ2QzM7MS8ClrMzOzEnAN2czMrASckM3MzErAT5PpgA033DAGDhxYdBhmZnVl0qRJcyOi1h7beiwn5A4YOHAgEydOLDoMM7O6IunF9ucyn7I2MzMrASdkMzOzEnBCNjMzKwFfQzazhrZgwQJmzpzJ+++/X3QoDa93794MGDCAVVddtf2ZbTlOyGbW0GbOnEmfPn0YOHAg0go9BdRqEBHMmzePmTNnMmjQoKLDqUs+ZW1mDe39999ngw02cDLuYpLYYIMNfCZiJTghm1nDczLuHl7PK8cJ2cysQDvttFOr08aPH89+++3XjdFYkXwN2cwKN+P8YZ1W1ubfe7zTyuoODzzwQNEhWEm4hmxmVqC1116biOCMM85g6NChDBs2jJtuumnJ9LfeeosDDzyQbbbZhpNOOonFixcXGK11JdeQzcwKdssttzB58mQee+wx5s6dy/bbb88uu+wCwIQJE5g6dSpbbLEF++yzD7fccgsHH3xwwRFbV3AN2cysYPfffz+HH344TU1NbLzxxuy66648/PDDAIwZM4Ytt9ySpqYmDj/8cO6///6Co7Wu4oRsZlawiGh1WsuWy27J3LgaKiFLmi7pcUmTJU3M49aXdKek5/L/9SrmP0vS85KekbR3cZGbWU+2yy67cNNNN7Fo0SLmzJnDfffdx5gxY4B0ynratGksXryYm266iU984hMFR2tdpaEScrZ7RGwbEaPz8JnAuIgYDIzLw0jaBjgMGALsA1whqamIgM2s55LEgQceyPDhwxkxYgR77LEHP/rRj/jQhz4EwI477siZZ57J0KFDGTRoEAceeGDBEVtX6QmNug4AdsuvrwXGA9/O42+MiA+AaZKeB8YADxYQo5n1QPPmzWP99ddHEhdeeCEXXnjhMtN32203dtttt2KCs27XaDXkAO6QNEnSiXncxhHxCkD+v1EevynwUsWyM/O4ZUg6UdJESRPnzJnThaGbWU8ya9YsdtxxR775zW8WHYqVRKPVkHeOiFmSNgLulPR0G/NWaxmxXMuKiLgKuApg9OjRrbe8MDPrgP79+/Pss88WHYaVSEPVkCNiVv4/G7iVdAr6VUmbAOT/s/PsM4HNKhYfAMzqvmjNzMyWapgasqS1gF4RMT+/3gs4H7gdGAv8MP+/LS9yO/AbST8G+gODgQndHnjBtjvjuk4ra9KFR3daWWZmPU3DJGRgY+DWfI/eKsBvIuIvkh4GbpZ0PDADOAQgIp6UdDMwFVgInBIRi4oJ3czMerqGScgR8QIwosr4ecCerSxzAXBBF4dmZmbWroa6hmxmVkZNTU1su+22DB06lP3335833nij09/j3HPP5aKLLlpu/PTp0xk6dCgAEydO5LTTTuv097bO0TA1ZDOzWnRmuwmore3EGmusweTJkwEYO3YsP/nJT/jud7/bqXHUYvTo0YwePbr9Ga0QriGbmXWjHXfckZdffnnJ8IUXXsj222/P8OHDOeecc4BUq/3Yxz7G2LFjGT58OAcffDDvvvsuAAMHDmTu3LlAqvFWdhzy2GOPscceezB48GB+9rOfLffe48ePZ7/99gPg7bff5thjj2XYsGEMHz6c3/3udwCcfPLJjB49miFDhiyJp/l9zznnHEaNGsWwYcN4+um27iq1FeGEbGbWTRYtWsS4ceP43Oc+B8Add9zBc889x4QJE5g8eTKTJk3ivvvuA+CZZ57hxBNPZMqUKayzzjpcccUV7ZY/ZcoU/vSnP/Hggw9y/vnnM2tW63dyfv/736dv3748/vjjTJkyhT322AOACy64gIkTJzJlyhTuvfdepkyZsmSZDTfckEceeYSTTz656ulxWzlOyGZmXey9995j2223ZYMNNuC1117j05/+NJAS8h133MHIkSMZNWoUTz/9NM899xwAm222GTvvvDMARx55ZE2PXTzggANYY4012HDDDdl9992ZMKH1OznvuusuTjnllCXD662Xnrtz8803M2rUKEaOHMmTTz7J1KlTl8xz0EEHAbDddtsxffr0jq0Ea5cTsplZF2u+hvziiy/yz3/+k5/85CdAeuziWWedxeTJk5k8eTLPP/88xx9/PND6YxdXWWUVFi9eDMD7779fdZ7WhitFxHLTp02bxkUXXcS4ceOYMmUK++677zLvsfrqqwOpkdrChQtr/vxWGydkM7Nu0rdvXy699FIuuugiFixYwN57780vfvEL3n77bQBefvllZs9OnQnOmDGDBx9Mz7q54YYbljx2ceDAgUyaNAlgyXXfZrfddhvvv/8+8+bNY/z48Wy//fatxrLXXntx+eWXLxl+/fXXeeutt1hrrbXo27cvr776Kn/+858778Nbu5yQzcy60ciRIxkxYgQ33ngje+21F0cccQQ77rgjw4YN4+CDD2b+/PkAbL311lx77bUMHz6c1157jZNPPhmAc845h9NPP51PfvKTNDUt+8TYMWPGsO+++7LDDjvwb//2b/Tv37/VOM4++2xef/11hg4dyogRI7jnnnsYMWIEI0eOZMiQIRx33HFLTplb91CEn5dQq9GjR8fEiROLDqNTuetMK4MZ5w/rtLI2/97jyww/9dRTbL311p1WfneYPn06++23H0888UTRoXRYtfUtaVLFM+qtFa4hm5mZlYATsplZyQwcOLAua8e2cpyQzczMSsAJ2czMrASckM3MzErACdnMzKwEnJDNzLpY8+MXhwwZwogRI/jxj3+8pLetsrr44ouXPNDCuocfv2hmPUpn3vMMy9/3XE3l4xdnz57NEUccwZtvvsl5553XqbF0REQQEfTqVb1edvHFF3PkkUey5pprdnNkPZdryGZm3WijjTbiqquu4vLLLyciWLRoEWecccaSRzD+9Kc/BdKjEnfddVcOPfRQPvKRj3DmmWdy/fXXM2bMGIYNG8bf//53AF588UX23HNPhg8fzp577smMGTMAePXVVznwwAMZMWIEI0aM4IEHHmD69OlsvfXWfOUrX2HUqFG89NJLVR+3eOmllzJr1ix23313dt9992JWVA/khGxm1s223HJLFi9ezOzZs7n66qvp27cvDz/8MA8//DA/+9nPmDZtGpCeb3zJJZfw+OOP86tf/Ypnn32WCRMmcMIJJ3DZZZcBcOqpp3L00UczZcoUvvSlL3HaaacBcNppp7Hrrrvy2GOP8cgjjzBkyBAgPdbx6KOP5tFHH2WLLbao+rjF0047jf79+3PPPfdwzz33FLOSeiAnZDOzAjR3W3zHHXdw3XXXse222/Lxj3+cefPmLXkE4/bbb88mm2zC6quvzlZbbcVee+0FwLBhw5Y8/vDBBx/kiCOOAOCoo45a8pjGu+++e0n/101NTfTt2xeALbbYgh122GFJHG09btG6l68hm5l1sxdeeIGmpiY22mgjIoLLLruMvffee5l5xo8fv+RxhwC9evVaMtyrV69WH3/Y1iMXAdZaa60lr5sft/jwww+z3nrrccwxxyz3SEfrPq4hm5l1ozlz5nDSSSdx6qmnIom9996bK6+8kgULFgDw7LPP8s4779Rc3k477cSNN94IwPXXX7/kMY177rknV155JQCLFi3irbfeWm7Zth632KdPnyVPnrLu4RqymVkXe++999h2221ZsGABq6yyCkcddRRf//rXATjhhBOYPn06o0aNIiLo168fv//972su+9JLL+W4447jwgsvpF+/fvzyl78E4JJLLuHEE0/k6quvpqmpiSuvvJJNNtlkmWUrH7e45ZZbLvO4xRNPPJHPfOYzbLLJJr6O3E38+MUO8OMX2+bHL9qK8uMXG4cfv7jifMrazMysBJyQzczMSsDXkM0K4ssFZlbJNWQza3huK9M9vJ5XjhOymTW03r17M2/ePCeLLhYRzJs3j969excdSt3yKWsza2gDBgxg5syZzJkzp+hQGl7v3r0ZMGBA0WHUrYZKyJKagInAyxGxn6T1gZuAgcB04NCIeD3PexZwPLAIOC0i/lpI0GbWpVZddVUGDRpUdBhm7Wq0U9anA09VDJ8JjIuIwcC4PIykbYDDgCHAPsAVOZmbmZkVomESsqQBwL7AzytGHwBcm19fC3y+YvyNEfFBREwDngfGdFesZmZmLTVMQgYuBr4FLK4Yt3FEvAKQ/2+Ux28KvFQx38w8zszMrBANkZAl7QfMjohJtS5SZVzVJpiSTpQ0UdJENwoxM7Ou0hAJGdgZ+Jyk6cCNwB6Sfg28KmkTgPx/dp5/JrBZxfIDgFnVCo6IqyJidESM7tevX1fFb2ZmPVxDJOSIOCsiBkTEQFJjrbsj4kjgdmBsnm0scFt+fTtwmKTVJQ0CBgMTujlsMzOzJRrqtqcqfgjcLOl4YAZwCEBEPCnpZmAqsBA4JSIWFRemmZn1dA2XkCNiPDA+v54H7NnKfBcAF3RbYGZmZm1oiFPWZmZm9c4J2czMrASckM3MzErACdnMzKwEnJDNzMxKwAnZzMysBJyQzczMSsAJ2czMrASckM3MzErACdnMzKwEnJDNzMxKwAnZzMysBJyQzczMSsAJ2czMrASckM3MzErACdnMzKwEnJDNzMxKwAnZzMysBJyQzczMSsAJ2czMrASckM3MzErACdnMzKwEnJDNzMxKwAnZzMysBJyQzczMSsAJ2czMrASckM3MzErACdnMzKwEnJDNzMxKwAnZzMysBJyQzczMSqBhErKk3pImSHpM0pOSzsvj15d0p6Tn8v/1KpY5S9Lzkp6RtHdx0ZuZWU/XMAkZ+ADYIyJGANsC+0jaATgTGBcRg4FxeRhJ2wCHAUOAfYArJDUVErmZmfV4DZOQI3k7D66a/wI4ALg2j78W+Hx+fQBwY0R8EBHTgOeBMd0YspmZ2RKlS8iSxtUyrpVlmyRNBmYDd0bE34CNI+IVgPx/ozz7psBLFYvPzOPMzMy63SpFB9BMUm9gTWDDfJ1XedI6QP9ayoiIRcC2ktYFbpU0tK23rFZElbhOBE4E2HzzzWsJw8zMrMNKk5CBfwG+Skq+k1iaMN8CftKRgiLiDUnjSdeGX5W0SUS8ImkTUu0ZUo14s4rFBgCzqpR1FXAVwOjRo5dL2GZmRdjujOs6raxJFx7daWXZiivNKeuIuCQiBgHfjIgtI2JQ/hsREZe3t7ykfrlmjKQ1gE8BTwO3A2PzbGOB2/Lr24HDJK0uaRAwGJjQyR/LzMysJmWqIQMQEZdJ2gkYSEV8EdHez8FNgGtzS+lewM0R8UdJDwI3SzoemAEckst7UtLNwFRgIXBKPuVtZmbW7UqXkCX9CtgKmAw0J8gA2kzIETEFGFll/Dxgz1aWuQC4YGXiNTMz6wylS8jAaGCbiPD1WjMz6zFKcw25whPAh4oOwszMrDuVsYa8ITBV0gRS71sARMTnigvJzMysa5UxIZ9bdABmZmbdrXQJOSLuLToGMzOz7la6hCxpPkt7zFqN1Cf1OxGxTnFRmZmZda3SJeSI6FM5LOnz+KEPZmbW4MrYynoZEfF7YI+i4zAzM+tKpashSzqoYrAX6b7k0t6T7P5kzcysM5QuIQP7V7xeCEwnPbvYzMysYZUuIUfEsUXHYGZm1t1Kdw1Z0gBJt0qaLelVSb+TNKDouMzMzLpS6RIy8EvSoxH7A5sCf8jjzMzMGlYZE3K/iPhlRCzMf9cA/YoOyszMrCuV7hoyMFfSkcANefhwYF6B8ZiV3ozzh3VaWZt/7/FOK8vMalfGGvJxwKHAP4BXgIMBN/QyM7OGVsYa8veBsRHxOoCk9YGLSInazMysIZWxhjy8ORkDRMRrwMgC4zEzM+tyZUzIvSSt1zyQa8hlrMmbmZl1mjImuv8EHpD0W1KXmYcCFxQbkpmZWdcqXUKOiOskTSQ9UELAQRExteCwzMzMulTpEjJATsBOwmZm1mOU8RqymZlZj+OEbGZmVgKlPGVt9cm9RZmZrTj47GaIAAAWG0lEQVTXkM3MzErACdnMzKwEnJDNzMxKwAnZzMysBJyQzczMSsCtrK1ubXfGdZ1W1qQLj+60sszMVkTD1JAlbSbpHklPSXpS0ul5/PqS7pT0XP5f+eCKsyQ9L+kZSXsXF72ZmfV0DZOQgYXANyJia2AH4BRJ2wBnAuMiYjAwLg+Tpx0GDAH2Aa6Q1FRI5GZm1uM1TEKOiFci4pH8ej7wFLApcABwbZ7tWuDz+fUBwI0R8UFETAOeB8Z0b9RmZmZJwyTkSpIGAiOBvwEbR8QrkJI2sFGebVPgpYrFZuZxLcs6UdJESRPnzJnTlWGbmVkP1nAJWdLawO+Ar0bEW23NWmVcLDci4qqIGB0Ro/v169dZYZqZmS2joRKypFVJyfj6iLglj35V0iZ5+ibA7Dx+JrBZxeIDgFndFauZmVmlhknIkgRcDTwVET+umHQ7MDa/HgvcVjH+MEmrSxoEDAYmdFe8ZmZmlRrpPuSdgaOAxyVNzuO+A/wQuFnS8cAM4BCAiHhS0s3AVFIL7VMiYlH3h21mZtZACTki7qf6dWGAPVtZ5gLggi4LysysDvjRqeXQMKeszczM6pkTspmZWQk4IZuZmZWAE7KZmVkJOCGbmZmVgBOymZlZCTghm5mZlYATspmZWQk4IZuZmZWAE7KZmVkJOCGbmZmVgBOymZlZCTghm5mZlYATspmZWQk0zOMXzcyK4scXWmdwDdnMzKwEnJDNzMxKwAnZzMysBJyQzczMSsAJ2czMrASckM3MzErAtz2ViG+dMDPruVxDNjMzKwEnZDMzsxJwQjYzMysBJ2QzM7MScEI2MzMrASdkMzOzEnBCNjMzKwEnZDMzsxJwQjYzMyuBhknIkn4habakJyrGrS/pTknP5f/rVUw7S9Lzkp6RtHcxUZuZmSUNk5CBa4B9Wow7ExgXEYOBcXkYSdsAhwFD8jJXSGrqvlDNzMyW1TAJOSLuA15rMfoA4Nr8+lrg8xXjb4yIDyJiGvA8MKZbAjUzM6uiYRJyKzaOiFcA8v+N8vhNgZcq5puZxy1H0omSJkqaOGfOnC4N1szMeq5GT8itUZVxUW3GiLgqIkZHxOh+/fp1cVhmZtZTNXpCflXSJgD5/+w8fiawWcV8A4BZ3RybmZnZEo2ekG8HxubXY4HbKsYfJml1SYOAwcCEAuIzMzMDYJWiA+gskm4AdgM2lDQTOAf4IXCzpOOBGcAhABHxpKSbganAQuCUiFhUSOBmZmY0UEKOiMNbmbRnK/NfAFzQdRGZmZnVrtFPWZuZmdUFJ2QzM7MSaJhT1mYrY8b5wzq1vM2/93inlmdmjc81ZDMzsxJwQjYzMysBJ2QzM7MScEI2MzMrATfqMrMeabszruu0sm7t02lFWQ/mGrKZmVkJOCGbmZmVgBOymZlZCTghm5mZlYATspmZWQk4IZuZmZWAE7KZmVkJOCGbmZmVgBOymZlZCTghm5mZlYATspmZWQk4IZuZmZWAE7KZmVkJOCGbmZmVgBOymZlZCTghm5mZlYATspmZWQk4IZuZmZWAE7KZmVkJOCGbmZmVgBOymZlZCTghm5mZlcAqRQdgZvVpuzOu67Sybu3TaUWZ1a0eXUOWtI+kZyQ9L+nMouMxM7Oeq8cmZElNwE+AzwDbAIdL2qbYqMzMrKfqsQkZGAM8HxEvRMQ/gRuBAwqOyczMeihFRNExFELSwcA+EXFCHj4K+HhEnNpivhOBE/PgR4FnujCsDYG5XVh+V6vn+Os5dnD8RXP8bdsiIvp1YfkNoSc36lKVccv9OomIq4Cruj4ckDQxIkZ3x3t1hXqOv55jB8dfNMdvnaEnn7KeCWxWMTwAmFVQLGZm1sP15IT8MDBY0iBJqwGHAbcXHJOZmfVQPfaUdUQslHQq8FegCfhFRDxZcFjdcmq8C9Vz/PUcOzj+ojl+W2k9tlGXmZlZmfTkU9ZmZmal4YRsZmZWAk7IZmZmJdBjG3XZysuN4q6LiLck/RQYCZwVEeMKDs2sS0h6nCr9FTSLiOHdGI41GCfkAklaHfgCMJCK7yIizi8qpg46MSIul7QXsClwMqm15nbFhlU7SfsCQ4DezePqaP0jaT1gMMvGf19xEdVO0lbAzIj4QNJuwHDSD7w3io2sTfvl/6fk/7/K/78EvNv94aw4SSOAT+bB/42Ix4qMx3zKumi3kfrPXgi8U/FXL5prCp8BfhkRk6ijbUrSfwFfBP6V1HPbIcAWhQbVAZJOAO4j3bp3Xv5/bpExddDvgEWSPgxcDQwCflNsSG2LiBcj4kVg54j4VkQ8nv/OBPYuOr5aSToduB7YKP/9WtK/FhuV+banAkl6IiKGFh3HipJ0HakP3I+Qaje9gPsiYlShgdVI0pSIGF7xf23glojYq+jYapFPn24PPBQR20r6GHBeRHyx4NBqIumRiBgl6Qzg/Yi4TNKjETGy6NjaI2kycGpE3J+HdwKuiIhti42sNpKmADtGxDt5eC3gQZ9yL5ZPWRfrAUnDIuLxogNZQceSTk8/HxHvStoQOL7gmDrivfz/XUn9gXmkWlq9eD8i3peEpNUj4mlJHy06qA5YIOlwYCywfx63aoHxdMTxwC8k9c3DbwDHFRhPRwlYVDG8iOr9+1s3ckIu1ieAYyRNAz4g7RBRL79SI2KRpGeArXLtrN78UdK6wIXAI6RT8D8vNqQOmZnj/z1wp6TXqa/+2I8FTgIuiIhpkgYBvy44pprkyzMjJK1DOtP4ZtExddAvgb9JujUPf5502cAK5FPWBZJU9XplvkZVepKOA75BatBVefp0tyLjWhG5gV3vOjywAiBpV6Av8Jf8fG/rQg3QIBNJo0iVApEuNT1acEg9nmvIBZC0TkS8BcwvOpaV9DVgNOna0yclDQHOLjimdknaIyLulnRQlWlExC1FxFUrSetXGd182WNt4LVuDKfDJN0cEYdWuYWons4Q3Qa8CUwind2qC83HnrwNTc9/zdPWj4hSbzuNzgm5GL8h3T4xiXRAqrx2E8CWRQS1At6PiPfyNczVIuLJOjl1vStwN0uvW1YKoNQJmWW3m82B1/PrdYEZlP86+On5/35tzlVuAyJin6KDWAEtjz3NRH0dexqST1nbCpN0O3A06bT1J0g1s7Xq9EBVd/JtW7dHxP/k4c8An4qIbxQbWe0kbUy61AEwISJmFxlPrSRdBVxWxw0yrYSckAskaWdgckS8I+lIYBRwcUTMKDi0DpO0J+ka5p8ioi5O4Un6epXRbwKTImJyd8fTUZImRcR2LcZNjIjRRcXUEZIOJTWoG0+qoX0SOCMifltkXLWQNBX4MFCXDTIBJG1Kuu++8hp4XXQq06ickAuU7wUcQbqH91ekVo4HRcSuhQZWI0m7RcT4FuO+FBHXFxRSh0j6Deka+B/yqH2Bh4GPAf8dET8qKrZaSPor8L+klskBHAnsEhF10UGFpMeATzfXiiX1A+6KiBHFRta+BmiQ+R+kTnGmsvT2p4iIzxUXlfkacrEWRkRIOgC4JCKuljS26KA64AJJjwDfIjUmuopUU6iLhAxsAIyKiLcBJJ0D/BbYhXSNrdQJGTgcOAdovnXlvjyuXvRqcYp6HnXS01tz4pW0ERXdltaRzwMfrZezWT2FE3Kx5ks6i1yzkdRE/XSMAOkU47eAR4Em4PyI+FXbi5TK5kDlLUILgC1yQ7XSH6hyi9jT252xvP6Sa/k35OEvAv9TYDw1k/Q54D+B/sBs0qnfp0j9oteDF0jHmtJv5z2JE3KxvggcARwfEf+QtDnpmlq9WId0yn0msAmwsSRF/VwH+Q3wkKTb8vD+wA25G8GpxYXVNkkXR8RXJf2BKk8eqpfTjhFxhqQvADuTzqxcFRG3trNYWXwf2IF0in2kpN2pg7MTki4jbTPvApMljaMiKUfEaUXFZr6GbCtB0rPARRFxVU5iFwLDI+ITBYdWM0nbsbRzhPsjYmLBIbVL0nYRMSl3BrKciLi3u2PqaZobz+Xr4CMjYrGkCRExpujY2lJxSWwNUg15Meka8nsAEXFtQaEZTsiFyh1T/AfpaStiaUvNdQoNrEaSBkXEtBbj9oiIu4uKqVaSegFT6vXhHvnyxrURcWTRsayoet7+Jd1Fug77A9IDVmYD20fEToUG1g5JqwIXkPrdnkFa55uRutL8TkQsKDC8Hq8uGlA0sB8Bn4uIvhGxTkT0qYeDUbPc//Bhkr4LIGkz0m1DpRcRi4HH8mWCuhMRi4B+klYrOpaVUM/b/wGkWuXXgL8Af6d6RzNl8yNgPWBQRIzKT9baknTLYj1dLmtIriEXSNL/RcTORcexoiRdTjrttUtEbJ274/trRGzfzqKlIOluUqcUE6h4DnW9XIOV9FPSveu3s2z8Py4sqA6o9+2/Hkl6DvhIy3Ye+YzL0xExuJjIDNyoq2gTJd1EelpPZcOKsnfd2GynSM+zfRRSq986q7GdV3QAK2lW/usF9Ck4lhVRd9u/pPks7ba0Wj/cZa/hR7VGl/nJba6dFcwJuVjrkFo77lUxrh76Um62IF+LDQBJG5AaidSFiLi3XrtuBIiI8wAk9UmD6X7qOlJ3239E1OMPn0pTJR0dEddVjsw9BT5dUEyW+ZS1dZikVSJioaSjgQNJvV39AjgUOC8ibiw0wBrVc9eNAJKGknp4a37601zg6Ih4srioegZJWwEzI+IDSbuRetu7LiLeKDaytuXuMm8hXf9ufsDE9qRW1wdGxMsFhtfjOSEXSNIA4DLSfZgB3A+cHhEzCw2sHZIeiYhR+fUQ4FOkhHZXRDxRaHAdUM9dNwJIegD4bkTck4d3A/5fHbT0/VZE/Kjinthl1MO9sJImk36IDgT+SrqO/9GI+GyRcdVK0h6kTkwEPBkR4woOyfAp66L9ktQ5xSF5+Mg87tOFRVSbJY+LzLWxeq2R1W3XjdlazckYICLG5/vBy+6p/L/093y3YXE+S3Qg6YEwlzW3pagH+dbE0t+e2NM4IRerX0T8smL4GklfLSya2vVr5UlJQP208qV6141/LjCejnpB0r+RTltD+kE3rY35SyEi/pD/13MnFAskHQ6MZentTvXU7a2VkBNysebmxhTNCeFwUi2t7JpID5NQezOWWe668SCW9tRVT103Qurc4TzSNUGRHi5xbKER1aC1Lj+b1cltZ8cCJwEX5PvxB5GeumW2wnwNuUC5U4rLgR1JB6gHSNeQS/0It8pryPUuP0ZvcETcJWlNoCki5hcdVyNrrcvPZu7603oqJ2TrMEmP5h5+6pqkLwMnAutHxFaSBgP/FRF7FhxamxqkhlmXJD1O2+t+eDeGYw3Gp6wLJOlaUo34jTy8HvCfEXFcsZG1q9QJqwNOAcYAfwOIiOfy823L7qKiA1gZdZ7U9is6AGtcTsjFGl5532JEvC6p9DXP/BzeRvBBRPxTSpfCJa1CG4miRKZFxIyig1gJdZvUyn45yeqbE3KxeklaLyJeB8h9Qfs76T73SvoOsIakTwNfAf5QcEy1+D2pD2sk/S4ivlBwPB3ipGZWnQ/+xfpP4AFJzT1DHUJ6NJp1jzOB44HHSdeS/xQRPy82pJpUtm7fsrAoVlBFf9DLTaI++oM26xJu1FUwSdsAe5AORuMiYmrBITU8SQcAAyLiJ3l4AtCPlCS+VfauM1v0lNYwLd7rjaQ1gM0j4pmiY7HGUE+9EjWc3B/u3yPiclIt7VOS1i04rJ7gW6SuDputBmwH7AacXERAHTRC0lu5pjk8v35L0nxJbxUdXE8gaX9gMulZyEjaVtLtbS9l1jYn5GL9Dlgk6cPAz4FBpK40rWutFhEvVQzfHxGv5YZSpe96MiKaImKdiOgTEavk183DPt3bPc4ltdB/AyAiJpP6tTZbYU7IxVocEQuBg4BLIuJrwCYFx9QTrFc5EBGnVgz26+ZYrD4tjIg3iw7CGosTcrGa+8M9GvhjHuf+cLve33KnIMuQ9C/AhALisfrzhKQjgCZJg/OTqx4oOiirb27UVaDcoOsk4MGIuCH3h/vFiPhhwaE1tNz5x++BD4BH8ujtgNWBz0fEq0XFZvUhd7P6XWAvUoPMvwLfj4j3Cw3M6poTsvVYFc+EhfRMWD+OzswK44RcAEk3R8ShVboQbL4Ps8xdB5r1WO5H3LqSOwYpxqOStgcOBBYUHYyZ1ay5H/GDgA+x9JGLhwPTiwjIGodryAWQdBGwE/AxYAqpMcj/ka4lN0o/0WYNS9J9EbFLe+PMOsIJuUCSVgNGk5LzjvnvjYjYptDAzKxNkp4C9o2IF/LwIOB/ImLrYiOzeuZT1sVaA1gH6Jv/ZpF67DKzcvsaMF7SC3l4IKk/dLMV5hpyASRdRWrdO5/0LN6HgIean/pkZuUnaXXSZSeApyPigyLjsfrnGnIxNifd8/oc8DIwk9wFn5mVn6RVgX8Bmq8Zj5f004hwI01bYa4hF0SSSLXknfLfUOA1UsOuc4qMzczaJunnpF71rs2jjgIWRcQJxUVl9c4JuWCSBgA7k5LyfsAGEeEnPpmVmKTHImJEe+PMOsJ9WRdA0mmSbpT0EnAfKRE/Q7q3cf1CgzOzWizKj08FQNKWwKIC47EG4GvIxRgI/Bb4WkS8UnAsZtZxZwD35FbWArYAji02JKt3PmVtZrYCcivrj5ISsltZ20pzQjYzWwGSdiKd7VpypjEirissIKt7PmVtZtZBkn4FbAVMZum14wCckG2FuYZsZtZBuevMbcIHUOtEbmVtZtZxT5Ce9mTWaXzK2sysRhXPQ+4DTJU0AVjSmMvPQ7aV4YRsZla7i9qfxWzFOCGbmdUoIu6tNl5SE3BYN4djDcbXkM3MaiRpHUlnSbpc0l5KTgVeAA4tOj6rb25lbWZWI0m3Aa8DDwJ7AusBqwGnR8TkImOz+ueEbGZWI0mPR8Sw/LoJmAtsHhHzi43MGoFPWZuZ1W7J844jYhEwzcnYOotryGZmNZK0CHineRBYA3g3v46IWKeo2Kz+OSGbmZmVgE9Zm5mZlYATspmZWQk4IZuZmZWAE7JZnZD0VUlrdtZ8ZlYubtRlVickTQdGR8TczpjPzMrFNWSzEpK0lqQ/SXpM0hOSzgH6A/dIuifPc6WkiZKelHReHndalfn2kvSgpEck/bektYv6XGbWOteQzUpI0heAfSLiy3m4L/AYFTVfSetHxGu5x6hxwGkRMaWyhixpQ+AW4DMR8Y6kbwOrR8T5RXwuM2uda8hm5fQ48ClJ/yHpkxHxZpV5DpX0CPAoMATYpso8O+Tx/ydpMjAW2KKrgjazFefHL5qVUEQ8K2k74LPADyTdUTld0iDgm8D2EfG6pGuA3lWKEnBnRBze1TGb2cpxDdmshCT1B96NiF8DFwGjgPlAnzzLOqQuHN+UtDHwmYrFK+d7CNhZ0odzuWtK+kg3fAQz6yDXkM3KaRhwoaTFpAcanAzsCPxZ0isRsbukR4EnSc/i/b+KZa9qMd8xwA2SVs/Tzwae7a4PYma1caMuMzOzEvApazMzsxJwQjYzMysBJ2QzM7MScEI2MzMrASdkMzOzEnBCNjMzKwEnZDMzsxJwQjYzMyuB/x/TQUVvg6oT8AAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df1 = df_[(df_.job.isin([\"Republican\",\"Democrat\"])) & df_.state.isin(df_.state.value_counts()[:7].keys())]\n", "\n", "sns.countplot(data=df1, x='state', hue='job' )\n", "plt.title(\"Distribution of Republican vs Democrat in the top 7 US states in the database\")\n", "plt.xticks(rotation=90)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Word Cloud\n", "We could have also found the top states ad top jobs using word cloud." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting wordcloud\n", " Downloading wordcloud-1.8.0-cp36-cp36m-manylinux1_x86_64.whl (365 kB)\n", "\u001b[K |████████████████████████████████| 365 kB 12.0 MB/s eta 0:00:01\n", "\u001b[?25hRequirement already satisfied: numpy>=1.6.1 in /opt/conda/lib/python3.6/site-packages (from wordcloud) (1.15.2)\n", "Requirement already satisfied: matplotlib in /opt/conda/lib/python3.6/site-packages (from wordcloud) (2.2.3)\n", "Requirement already satisfied: pillow in /opt/conda/lib/python3.6/site-packages (from wordcloud) (7.0.0)\n", "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.6/site-packages (from matplotlib->wordcloud) (0.10.0)\n", "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib->wordcloud) (2.4.6)\n", "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib->wordcloud) (2.8.1)\n", "Requirement already satisfied: pytz in /opt/conda/lib/python3.6/site-packages (from matplotlib->wordcloud) (2019.3)\n", "Requirement already satisfied: six>=1.10 in /opt/conda/lib/python3.6/site-packages (from matplotlib->wordcloud) (1.14.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib->wordcloud) (1.1.0)\n", "Requirement already satisfied: setuptools in /opt/conda/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib->wordcloud) (45.2.0.post20200209)\n", "Installing collected packages: wordcloud\n", "Successfully installed wordcloud-1.8.0\n" ] } ], "source": [ "# Installing WordCloud\n", "import sys\n", "!{sys.executable} -m pip install wordcloud" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from wordcloud import WordCloud, ImageColorGenerator\n", "text = ' '.join(df_.job.tolist())\n", "wordcloud = WordCloud(background_color=\"white\").generate(text)\n", "# Display the generated image:\n", "plt.figure(figsize=(15,8))\n", "plt.imshow(wordcloud)\n", "plt.axis(\"off\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "text = ' '.join(df_.state.tolist())\n", "wordcloud = WordCloud(background_color=\"pink\").generate(text)\n", "# Display the generated image:\n", "plt.figure(figsize=(15,8))\n", "plt.imshow(wordcloud)\n", "plt.axis(\"off\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }