{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\dassu\n" ] } ], "source": [ "import os\n", "#Get the Current Directory\n", "directory_path = os.getcwd()\n", "print(directory_path)\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\dassu\\NewData\n" ] } ], "source": [ "# Data Folder Name\n", "data_folder = os.path.join(directory_path, \"NewData\")\n", "print(data_folder)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "#Assign Edu File Name\n", "filename = \"EducationData.csv\"" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\dassu\\NewData\\EducationData.csv\n" ] } ], "source": [ "#Get the full file name including directory\n", "fullfilename = os.path.join(data_folder, filename)\n", "print(fullfilename)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#Load Edu Data\n", "edu = pd.read_csv(fullfilename)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytotalScoreRelative ScorereadingScoremathScorescienceScore
0Argentina16000.888889515514571.0
1Australia15560.864444515514527.0
2Austria14600.811111470496494.0
3Azerbaijan11660.647778362431373.0
4Belgium15280.848889506515507.0
\n", "
" ], "text/plain": [ " country totalScore Relative Score readingScore mathScore \\\n", "0 Argentina 1600 0.888889 515 514 \n", "1 Australia 1556 0.864444 515 514 \n", "2 Austria 1460 0.811111 470 496 \n", "3 Azerbaijan 1166 0.647778 362 431 \n", "4 Belgium 1528 0.848889 506 515 \n", "\n", " scienceScore \n", "0 571.0 \n", "1 527.0 \n", "2 494.0 \n", "3 373.0 \n", "4 507.0 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "edu.head()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "#File anme for reading Gender Data\n", "filename = \"gender_development.csv\"" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\dassu\\NewData\\gender_development.csv\n" ] } ], "source": [ "#Get the full file name including directory\n", "fullfilename = os.path.join(data_folder, filename)\n", "print(fullfilename)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "#Load Gender Data\n", "gen_dev =pd.read_csv(fullfilename)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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GDI RankCountryGender Development Index (GDI)Human Development Index (Female)Human Development Index (Male)Life Expectancy at Birth (Female)Life Expectancy at Birth (Male)Expected Years of Education (Female)Expected Years of Education (Male)Mean Years of Education (Female)Mean Years of Education (Male)Estimated Gross National Income per Capita (Female)Estimated Gross National Income per Capita (Male)
040Argentina0.9820.8190.83480.172.419.116.89.89.81420230237
12Australia0.9760.9220.94584.580.320.719.713.112.93368850914
223Austria0.9430.8560.90983.878.816.115.49.911.92959858826
378Azerbaijan0.9420.7210.76674.067.711.81210.511.21012022814
450Belarus1.0210.8060.78977.265.516.215.111.912.11292221010
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" ], "text/plain": [ " GDI Rank Country Gender Development Index (GDI) \\\n", "0 40 Argentina 0.982 \n", "1 2 Australia 0.976 \n", "2 23 Austria 0.943 \n", "3 78 Azerbaijan 0.942 \n", "4 50 Belarus 1.021 \n", "\n", " Human Development Index (Female) Human Development Index (Male) \\\n", "0 0.819 0.834 \n", "1 0.922 0.945 \n", "2 0.856 0.909 \n", "3 0.721 0.766 \n", "4 0.806 0.789 \n", "\n", " Life Expectancy at Birth (Female) Life Expectancy at Birth (Male) \\\n", "0 80.1 72.4 \n", "1 84.5 80.3 \n", "2 83.8 78.8 \n", "3 74.0 67.7 \n", "4 77.2 65.5 \n", "\n", " Expected Years of Education (Female) Expected Years of Education (Male) \\\n", "0 19.1 16.8 \n", "1 20.7 19.7 \n", "2 16.1 15.4 \n", "3 11.8 12 \n", "4 16.2 15.1 \n", "\n", " Mean Years of Education (Female) Mean Years of Education (Male) \\\n", "0 9.8 9.8 \n", "1 13.1 12.9 \n", "2 9.9 11.9 \n", "3 10.5 11.2 \n", "4 11.9 12.1 \n", "\n", " Estimated Gross National Income per Capita (Female) \\\n", "0 14202 \n", "1 33688 \n", "2 29598 \n", "3 10120 \n", "4 12922 \n", "\n", " Estimated Gross National Income per Capita (Male) \n", "0 30237 \n", "1 50914 \n", "2 58826 \n", "3 22814 \n", "4 21010 " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gen_dev.head()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "#File anme for reading Gender Data\n", "filename = \"Living standards.csv\"" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\dassu\\NewData\\Living standards.csv\n" ] } ], "source": [ "# Importing Living Standards data\n", "\n", "#Get the full file name including directory\n", "fullfilename = os.path.join(data_folder, filename)\n", "print(fullfilename)\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrylifeQualityRanklifeQualityIndexAvg Living standardssafetyIndexhealthcareIndexpollutionIndexclimateIndex
0Argentina55114.211.142137.7469.1650.6198.28
1Australia4185.031.850358.3377.8123.2294.20
2Austria6181.681.816875.5778.5621.6578.22
3Azerbaijan66102.691.0269NaNNaNNaNNaN
4Belarus38133.521.335274.9860.0343.5864.37
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" ], "text/plain": [ " country lifeQualityRank lifeQualityIndex Avg Living standards \\\n", "0 Argentina 55 114.21 1.1421 \n", "1 Australia 4 185.03 1.8503 \n", "2 Austria 6 181.68 1.8168 \n", "3 Azerbaijan 66 102.69 1.0269 \n", "4 Belarus 38 133.52 1.3352 \n", "\n", " safetyIndex healthcareIndex pollutionIndex climateIndex \n", "0 37.74 69.16 50.61 98.28 \n", "1 58.33 77.81 23.22 94.20 \n", "2 75.57 78.56 21.65 78.22 \n", "3 NaN NaN NaN NaN \n", "4 74.98 60.03 43.58 64.37 " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "liv_stan =pd.read_csv(fullfilename)\n", "liv_stan.head()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "Liv_standard = liv_stan.drop(['lifeQualityRank','lifeQualityIndex','safetyIndex','healthcareIndex','pollutionIndex','climateIndex'],axis = 1)" ] }, { "cell_type": "code", "execution_count": 128, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryAvg Living standards
0Argentina1.1421
1Australia1.8503
2Austria1.8168
3Azerbaijan1.0269
4Belarus1.3352
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" ], "text/plain": [ " country Avg Living standards\n", "0 Argentina 1.1421\n", "1 Australia 1.8503\n", "2 Austria 1.8168\n", "3 Azerbaijan 1.0269\n", "4 Belarus 1.3352" ] }, "execution_count": 128, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Liv_standard.head()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryAvg Living standards
0Argentina1.1421
1Australia1.8503
2Austria1.8168
3Azerbaijan1.0269
4Belarus1.3352
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" ], "text/plain": [ " country Avg Living standards\n", "0 Argentina 1.1421\n", "1 Australia 1.8503\n", "2 Austria 1.8168\n", "3 Azerbaijan 1.0269\n", "4 Belarus 1.3352" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Liv_standard.head()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\dassu\\NewData\\Pol Stab.csv\n" ] }, { "data": { "text/html": [ "
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Country ISO3Country NameIndicator IdIndicatorSubindicator Type2019Score
0AUSAustralia379Political Stability No ViolenceRank88.571430.885714
1AUTAustria379Political Stability No ViolenceRank82.857140.828571
2AZEAzerbaijan379Political Stability No ViolenceRank21.904760.219048
3BLRBelarus379Political Stability No ViolenceRank56.666670.566667
4BELBelgium379Political Stability No ViolenceRank61.904760.619048
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" ], "text/plain": [ " Country ISO3 Country Name Indicator Id Indicator \\\n", "0 AUS Australia 379 Political Stability No Violence \n", "1 AUT Austria 379 Political Stability No Violence \n", "2 AZE Azerbaijan 379 Political Stability No Violence \n", "3 BLR Belarus 379 Political Stability No Violence \n", "4 BEL Belgium 379 Political Stability No Violence \n", "\n", " Subindicator Type 2019 Score \n", "0 Rank 88.57143 0.885714 \n", "1 Rank 82.85714 0.828571 \n", "2 Rank 21.90476 0.219048 \n", "3 Rank 56.66667 0.566667 \n", "4 Rank 61.90476 0.619048 " ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# importing political stability data\n", "\n", "filename = \"Pol Stab.csv\"\n", "\n", "#Get the full file name including directory\n", "fullfilename = os.path.join(data_folder, filename)\n", "print(fullfilename)\n", "\n", "# fullfilename =datapath + filename\n", "pol_stab =pd.read_csv(fullfilename)\n", "pol_stab.head()\n", "\n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Country ISO3Country NameIndicator IdIndicatorSubindicator Type2019Score
0AUSAustralia379Political Stability No ViolenceRank88.571430.885714
1AUTAustria379Political Stability No ViolenceRank82.857140.828571
2AZEAzerbaijan379Political Stability No ViolenceRank21.904760.219048
3BLRBelarus379Political Stability No ViolenceRank56.666670.566667
4BELBelgium379Political Stability No ViolenceRank61.904760.619048
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" ], "text/plain": [ " Country ISO3 Country Name Indicator Id Indicator \\\n", "0 AUS Australia 379 Political Stability No Violence \n", "1 AUT Austria 379 Political Stability No Violence \n", "2 AZE Azerbaijan 379 Political Stability No Violence \n", "3 BLR Belarus 379 Political Stability No Violence \n", "4 BEL Belgium 379 Political Stability No Violence \n", "\n", " Subindicator Type 2019 Score \n", "0 Rank 88.57143 0.885714 \n", "1 Rank 82.85714 0.828571 \n", "2 Rank 21.90476 0.219048 \n", "3 Rank 56.66667 0.566667 \n", "4 Rank 61.90476 0.619048 " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pol_stab.head()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\dassu\\NewData\\relig_iso.csv\n" ] }, { "data": { "text/html": [ "
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Unnamed: 0isocountrygdp_pcgpi_rankgpi_scorepercentage_non_religious
04ARGArgentina14700441.7631.19
16AUSAustralia41000221.49419.00
27AUTAustria4040061.32830.20
38AZEAzerbaijan109001322.3600.00
414BGRBulgaria13500391.6990.00
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" ], "text/plain": [ " Unnamed: 0 iso country gdp_pc gpi_rank gpi_score \\\n", "0 4 ARG Argentina 14700 44 1.763 \n", "1 6 AUS Australia 41000 22 1.494 \n", "2 7 AUT Austria 40400 6 1.328 \n", "3 8 AZE Azerbaijan 10900 132 2.360 \n", "4 14 BGR Bulgaria 13500 39 1.699 \n", "\n", " percentage_non_religious \n", "0 1.19 \n", "1 19.00 \n", "2 30.20 \n", "3 0.00 \n", "4 0.00 " ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# importing religion data\n", "\n", "filename = \"relig_iso.csv\"\n", "\n", "\n", "#Get the full file name including directory\n", "fullfilename = os.path.join(data_folder, filename)\n", "print(fullfilename)\n", "\n", "reli_data =pd.read_csv(fullfilename)\n", "reli_data.head()\n" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "religion = reli_data.drop(['Unnamed: 0','iso','gdp_pc','gpi_rank','percentage_non_religious'], axis = 1)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrygpi_score
0Argentina1.763
1Australia1.494
2Austria1.328
3Azerbaijan2.360
4Bulgaria1.699
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" ], "text/plain": [ " country gpi_score\n", "0 Argentina 1.763\n", "1 Australia 1.494\n", "2 Austria 1.328\n", "3 Azerbaijan 2.360\n", "4 Bulgaria 1.699" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "religion.head()" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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GDI RankCountryGender Development Index (GDI)Human Development Index (Female)Human Development Index (Male)Life Expectancy at Birth (Female)Life Expectancy at Birth (Male)Expected Years of Education (Female)Expected Years of Education (Male)Mean Years of Education (Female)Mean Years of Education (Male)Estimated Gross National Income per Capita (Female)Estimated Gross National Income per Capita (Male)
040Argentina0.9820.8190.83480.172.419.116.89.89.81420230237
12Australia0.9760.9220.94584.580.320.719.713.112.93368850914
223Austria0.9430.8560.90983.878.816.115.49.911.92959858826
378Azerbaijan0.9420.7210.76674.067.711.81210.511.21012022814
450Belarus1.0210.8060.78977.265.516.215.111.912.11292221010
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" ], "text/plain": [ " GDI Rank Country Gender Development Index (GDI) \\\n", "0 40 Argentina 0.982 \n", "1 2 Australia 0.976 \n", "2 23 Austria 0.943 \n", "3 78 Azerbaijan 0.942 \n", "4 50 Belarus 1.021 \n", "\n", " Human Development Index (Female) Human Development Index (Male) \\\n", "0 0.819 0.834 \n", "1 0.922 0.945 \n", "2 0.856 0.909 \n", "3 0.721 0.766 \n", "4 0.806 0.789 \n", "\n", " Life Expectancy at Birth (Female) Life Expectancy at Birth (Male) \\\n", "0 80.1 72.4 \n", "1 84.5 80.3 \n", "2 83.8 78.8 \n", "3 74.0 67.7 \n", "4 77.2 65.5 \n", "\n", " Expected Years of Education (Female) Expected Years of Education (Male) \\\n", "0 19.1 16.8 \n", "1 20.7 19.7 \n", "2 16.1 15.4 \n", "3 11.8 12 \n", "4 16.2 15.1 \n", "\n", " Mean Years of Education (Female) Mean Years of Education (Male) \\\n", "0 9.8 9.8 \n", "1 13.1 12.9 \n", "2 9.9 11.9 \n", "3 10.5 11.2 \n", "4 11.9 12.1 \n", "\n", " Estimated Gross National Income per Capita (Female) \\\n", "0 14202 \n", "1 33688 \n", "2 29598 \n", "3 10120 \n", "4 12922 \n", "\n", " Estimated Gross National Income per Capita (Male) \n", "0 30237 \n", "1 50914 \n", "2 58826 \n", "3 22814 \n", "4 21010 " ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gen_dev.head()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "gender_dev =gen_dev.drop(['GDI Rank','Human Development Index (Female)','Human Development Index (Male)',\n", " 'Life Expectancy at Birth (Female)','Life Expectancy at Birth (Male)','Expected Years of Education (Female)',\n", " 'Expected Years of Education (Male)','Mean Years of Education (Female)',\n", " 'Mean Years of Education (Male)','Estimated Gross National Income per Capita (Female)',\n", " 'Estimated Gross National Income per Capita (Male)'], axis = 1)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "gender_dev.columns= ['country','Gender Development Index']" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryGender Development Index
0Argentina0.982
1Australia0.976
2Austria0.943
3Azerbaijan0.942
4Belarus1.021
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" ], "text/plain": [ " country Gender Development Index\n", "0 Argentina 0.982\n", "1 Australia 0.976\n", "2 Austria 0.943\n", "3 Azerbaijan 0.942\n", "4 Belarus 1.021" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gender_dev.head()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "#Importing Time spent on Leisure data\n", "Leisure_Data =pd.read_excel(r'C:\\Suparna\\CUNY\\Capstone Project\\Time-Spent-On-Leisure.xlsx')" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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EntityCodeYearMinutes spent on leisure - women (OECD Gender data (2020))Minutes spent on leisure - men (OECD Gender data (2020))Avg Time Spent on LeisureTime SpentPopulation (historical estimates)
0AustraliaAUS2020269297283.00.19652825499881
1AustriaAUT2020274308291.00.2020839006400
2BelgiumBEL2020317365341.00.23680611589616
3CanadaCAN2020260298279.00.19375037742157
4ChinaCHN2020211248229.50.1593751439323774
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" ], "text/plain": [ " Entity Code Year \\\n", "0 Australia AUS 2020 \n", "1 Austria AUT 2020 \n", "2 Belgium BEL 2020 \n", "3 Canada CAN 2020 \n", "4 China CHN 2020 \n", "\n", " Minutes spent on leisure - women (OECD Gender data (2020)) \\\n", "0 269 \n", "1 274 \n", "2 317 \n", "3 260 \n", "4 211 \n", "\n", " Minutes spent on leisure - men (OECD Gender data (2020)) \\\n", "0 297 \n", "1 308 \n", "2 365 \n", "3 298 \n", "4 248 \n", "\n", " Avg Time Spent on Leisure Time Spent Population (historical estimates) \n", "0 283.0 0.196528 25499881 \n", "1 291.0 0.202083 9006400 \n", "2 341.0 0.236806 11589616 \n", "3 279.0 0.193750 37742157 \n", "4 229.5 0.159375 1439323774 " ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Leisure_Data.head()" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "Leisure_Data.rename(columns={'Entity': 'country'}, inplace=True)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "Leisure_Data = Leisure_Data.drop(['Code','Year','Minutes spent on leisure - women (OECD Gender data (2020))','Minutes spent on leisure - men (OECD Gender data (2020))','Avg Time Spent on Leisure','Population (historical estimates)'], axis = 1)\n", " \n", " " ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryTime Spent
0Australia0.196528
1Austria0.202083
2Belgium0.236806
3Canada0.193750
4China0.159375
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" ], "text/plain": [ " country Time Spent\n", "0 Australia 0.196528\n", "1 Austria 0.202083\n", "2 Belgium 0.236806\n", "3 Canada 0.193750\n", "4 China 0.159375" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Leisure_Data.head()" ] }, { "cell_type": "code", "execution_count": 145, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Country ISO3Country NameIndicator IdIndicatorSubindicator Type2019Score
0AUSAustralia379Political Stability No ViolenceRank88.571430.885714
1AUTAustria379Political Stability No ViolenceRank82.857140.828571
2AZEAzerbaijan379Political Stability No ViolenceRank21.904760.219048
3BLRBelarus379Political Stability No ViolenceRank56.666670.566667
4BELBelgium379Political Stability No ViolenceRank61.904760.619048
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" ], "text/plain": [ " Country ISO3 Country Name Indicator Id Indicator \\\n", "0 AUS Australia 379 Political Stability No Violence \n", "1 AUT Austria 379 Political Stability No Violence \n", "2 AZE Azerbaijan 379 Political Stability No Violence \n", "3 BLR Belarus 379 Political Stability No Violence \n", "4 BEL Belgium 379 Political Stability No Violence \n", "\n", " Subindicator Type 2019 Score \n", "0 Rank 88.57143 0.885714 \n", "1 Rank 82.85714 0.828571 \n", "2 Rank 21.90476 0.219048 \n", "3 Rank 56.66667 0.566667 \n", "4 Rank 61.90476 0.619048 " ] }, "execution_count": 145, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "pol_stab = pol_stab.drop(['Country ISO3','Indicator Id','Indicator','Subindicator Type','2019'], axis = 1)" ] }, { "cell_type": "code", "execution_count": 147, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Country NameScore
0Australia0.885714
1Austria0.828571
2Azerbaijan0.219048
3Belarus0.566667
4Belgium0.619048
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" ], "text/plain": [ " Country Name Score\n", "0 Australia 0.885714\n", "1 Austria 0.828571\n", "2 Azerbaijan 0.219048\n", "3 Belarus 0.566667\n", "4 Belgium 0.619048" ] }, "execution_count": 147, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pol_stab.head()" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "pol_stab.columns= ['country','Pol_Rank']" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryPol_Rank
0Australia0.885714
1Austria0.828571
2Azerbaijan0.219048
3Belarus0.566667
4Belgium0.619048
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" ], "text/plain": [ " country Pol_Rank\n", "0 Australia 0.885714\n", "1 Austria 0.828571\n", "2 Azerbaijan 0.219048\n", "3 Belarus 0.566667\n", "4 Belgium 0.619048" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pol_stab.head()" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countrytotalScoreRelative ScorereadingScoremathScorescienceScore
0Argentina16000.888889515514571.0
1Australia15560.864444515514527.0
2Austria14600.811111470496494.0
3Azerbaijan11660.647778362431373.0
4Belgium15280.848889506515507.0
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" ], "text/plain": [ " country totalScore Relative Score readingScore mathScore \\\n", "0 Argentina 1600 0.888889 515 514 \n", "1 Australia 1556 0.864444 515 514 \n", "2 Austria 1460 0.811111 470 496 \n", "3 Azerbaijan 1166 0.647778 362 431 \n", "4 Belgium 1528 0.848889 506 515 \n", "\n", " scienceScore \n", "0 571.0 \n", "1 527.0 \n", "2 494.0 \n", "3 373.0 \n", "4 507.0 " ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "edu.head()" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "edu = edu.drop(['totalScore','readingScore','mathScore','scienceScore'], axis = 1)" ] }, { "cell_type": "code", "execution_count": 152, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryRelative Score
0Argentina0.888889
1Australia0.864444
2Austria0.811111
3Azerbaijan0.647778
4Belgium0.848889
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" ], "text/plain": [ " country Relative Score\n", "0 Argentina 0.888889\n", "1 Australia 0.864444\n", "2 Austria 0.811111\n", "3 Azerbaijan 0.647778\n", "4 Belgium 0.848889" ] }, "execution_count": 152, "metadata": {}, "output_type": "execute_result" } ], "source": [ "edu.head()" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "# merging gender development data and education data\n", "\n", "output1 = pd.merge(gender_dev,edu,\n", " on='country', \n", " how='inner')" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " country Gender Development Index Relative Score\n", "0 Argentina 0.982 0.888889\n", "1 Australia 0.976 0.864444\n", "2 Austria 0.943 0.811111\n", "3 Azerbaijan 0.942 0.647778\n", "4 Belarus 1.021 0.961667\n", ".. ... ... ...\n", "59 Ukraine 1.003 0.653333\n", "60 United Arab Emirates 0.954 0.765556\n", "61 United Kingdom 0.965 0.833333\n", "62 United States 0.995 0.827222\n", "63 Uruguay 1.018 0.711111\n", "\n", "[64 rows x 3 columns]\n" ] } ], "source": [ "print(output1)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "# merging religion and Living standard data\n", "\n", "output2 = pd.merge(Liv_standard,religion,\n", " on='country', \n", " how='inner')" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "#merging religion, gender development, education, Living quality data\n", "\n", "data1 = pd.merge(output1,output2,\n", " on='country', \n", " how='inner')" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryGender Development IndexRelative ScoreAvg Living standardsgpi_score
0Argentina0.9820.8888891.14211.763
1Australia0.9760.8644441.85031.494
2Austria0.9430.8111111.81681.328
3Azerbaijan0.9420.6477781.02692.360
4Belarus1.0210.9616671.33522.208
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" ], "text/plain": [ " country Gender Development Index Relative Score Avg Living standards \\\n", "0 Argentina 0.982 0.888889 1.1421 \n", "1 Australia 0.976 0.864444 1.8503 \n", "2 Austria 0.943 0.811111 1.8168 \n", "3 Azerbaijan 0.942 0.647778 1.0269 \n", "4 Belarus 1.021 0.961667 1.3352 \n", "\n", " gpi_score \n", "0 1.763 \n", "1 1.494 \n", "2 1.328 \n", "3 2.360 \n", "4 2.208 " ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data1.head()" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "# merging political stability data\n", "\n", "final_data = pd.merge(data1,pol_stab,\n", " on='country', \n", " how='inner')" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryGender Development IndexRelative ScoreAvg Living standardsgpi_scorePol_Rank
0Australia0.9760.8644441.85031.4940.885714
1Austria0.9430.8111111.81681.3280.828571
2Azerbaijan0.9420.6477781.02692.3600.219048
3Belarus1.0210.9616671.33522.2080.566667
4Brazil0.9970.6683331.05282.0170.247619
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" ], "text/plain": [ " country Gender Development Index Relative Score Avg Living standards \\\n", "0 Australia 0.976 0.864444 1.8503 \n", "1 Austria 0.943 0.811111 1.8168 \n", "2 Azerbaijan 0.942 0.647778 1.0269 \n", "3 Belarus 1.021 0.961667 1.3352 \n", "4 Brazil 0.997 0.668333 1.0528 \n", "\n", " gpi_score Pol_Rank \n", "0 1.494 0.885714 \n", "1 1.328 0.828571 \n", "2 2.360 0.219048 \n", "3 2.208 0.566667 \n", "4 2.017 0.247619 " ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_data.head()" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import scipy as stats\n", "import math\n", "import matplotlib.pyplot as plt\n", "import matplotlib.gridspec as gridspec\n", "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n", "init_notebook_mode(connected=True)\n", "%matplotlib inline\n", "import plotly.graph_objs as go\n", "from sklearn import linear_model\n", "import statsmodels.api as sm" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\dassu\\NewData\\2019.csv\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Overall rankCountry or regionScoreGDP per capitaSocial supportHealthy life expectancyFreedom to make life choicesGenerosityPerceptions of corruption
01Finland7.7691.3401.5870.9860.5960.1530.393
12Denmark7.6001.3831.5730.9960.5920.2520.410
23Norway7.5541.4881.5821.0280.6030.2710.341
34Iceland7.4941.3801.6241.0260.5910.3540.118
45Netherlands7.4881.3961.5220.9990.5570.3220.298
\n", "
" ], "text/plain": [ " Overall rank Country or region Score GDP per capita Social support \\\n", "0 1 Finland 7.769 1.340 1.587 \n", "1 2 Denmark 7.600 1.383 1.573 \n", "2 3 Norway 7.554 1.488 1.582 \n", "3 4 Iceland 7.494 1.380 1.624 \n", "4 5 Netherlands 7.488 1.396 1.522 \n", "\n", " Healthy life expectancy Freedom to make life choices Generosity \\\n", "0 0.986 0.596 0.153 \n", "1 0.996 0.592 0.252 \n", "2 1.028 0.603 0.271 \n", "3 1.026 0.591 0.354 \n", "4 0.999 0.557 0.322 \n", "\n", " Perceptions of corruption \n", "0 0.393 \n", "1 0.410 \n", "2 0.341 \n", "3 0.118 \n", "4 0.298 " ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Importing World Happiness 2019 to Jupyter Notebook\n", "\n", "\n", "\n", "filename = \"2019.csv\"\n", "\n", "# fullfilename =datapath + filename\n", "# happ_data =pd.read_csv(fullfilename)\n", "# happ_data.head()\n", "\n", "\n", "#Get the full file name including directory\n", "fullfilename = os.path.join(data_folder, filename)\n", "print(fullfilename)\n", "\n", "# fullfilename =datapath + filename\n", "happ_data =pd.read_csv(fullfilename)\n", "happ_data.head()" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "happ_data = happ_data.drop(['Overall rank','Social support','Healthy life expectancy','Freedom to make life choices','Generosity',\n", " 'Perceptions of corruption'], axis = 1)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Country or regionScoreGDP per capita
0Finland7.7691.340
1Denmark7.6001.383
2Norway7.5541.488
3Iceland7.4941.380
4Netherlands7.4881.396
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" ], "text/plain": [ " Country or region Score GDP per capita\n", "0 Finland 7.769 1.340\n", "1 Denmark 7.600 1.383\n", "2 Norway 7.554 1.488\n", "3 Iceland 7.494 1.380\n", "4 Netherlands 7.488 1.396" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "happ_data.head()" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [], "source": [ "happ_data.columns= ['country','Score','GDP per capita']" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryScoreGDP per capita
0Finland7.7691.340
1Denmark7.6001.383
2Norway7.5541.488
3Iceland7.4941.380
4Netherlands7.4881.396
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" ], "text/plain": [ " country Score GDP per capita\n", "0 Finland 7.769 1.340\n", "1 Denmark 7.600 1.383\n", "2 Norway 7.554 1.488\n", "3 Iceland 7.494 1.380\n", "4 Netherlands 7.488 1.396" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "happ_data.head()" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [], "source": [ "#merging 2019Happiness data to the final dataset\n", "\n", "Data = pd.merge(happ_data,final_data,\n", " on='country', \n", " how='inner')" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [], "source": [ "#Merging Leisure data\n", "Data = pd.merge(Data,Leisure_Data,\n", " on='country', \n", " how='inner')" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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countryScoreGDP per capitaGender Development IndexRelative ScoreAvg Living standardsgpi_scorePol_RankTime Spent
0Denmark7.6001.3830.9770.8316671.92531.2390.8380950.229167
1Norway7.5541.4880.9960.8338891.74551.4800.9238090.255556
2Netherlands7.4881.3960.9470.8644441.84181.6060.7571430.218750
3Sweden7.3431.3870.9990.8255561.72181.4190.8666670.000000
4New Zealand7.3071.3030.9610.8733331.78221.2390.9714290.208681
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" ], "text/plain": [ " country Score GDP per capita Gender Development Index \\\n", "0 Denmark 7.600 1.383 0.977 \n", "1 Norway 7.554 1.488 0.996 \n", "2 Netherlands 7.488 1.396 0.947 \n", "3 Sweden 7.343 1.387 0.999 \n", "4 New Zealand 7.307 1.303 0.961 \n", "\n", " Relative Score Avg Living standards gpi_score Pol_Rank Time Spent \n", "0 0.831667 1.9253 1.239 0.838095 0.229167 \n", "1 0.833889 1.7455 1.480 0.923809 0.255556 \n", "2 0.864444 1.8418 1.606 0.757143 0.218750 \n", "3 0.825556 1.7218 1.419 0.866667 0.000000 \n", "4 0.873333 1.7822 1.239 0.971429 0.208681 " ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Data.head()" ] }, { "cell_type": "code", "execution_count": 171, "metadata": {}, "outputs": [], "source": [ "Data = Data.dropna() # Apply dropna() function" ] }, { "cell_type": "code", "execution_count": 172, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "26\n" ] } ], "source": [ "print(len(Data.index))" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [], "source": [ "# Gender Development Index was string changing to float\n", "\n", "Data['Gender Development Index'] = Data['Gender Development Index'].astype(float)" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# correlation matrix\n", "\n", "plt.figure(figsize=(10,10))\n", "corr = Data.drop(['country','Score'],axis = 1).corr()\n", "sns.heatmap(corr, cbar = True, square = True, annot=True, linewidths = .20, fmt='.2f',annot_kws={'size': 10}) \n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.pairplot(Data[['Score','GDP per capita','Gender Development Index','eduscore', 'lifeQualityRank',\n", " 'Rel_Rank', 'Pol_Rank']])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 175, "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": [ "plt.figure(figsize=(12,8))\n", "sns.regplot(x='GDP per capita',y='Score' ,data=Data)\n", "#so there is a linear relation between GDP & Happiness Score" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,8))\n", "sns.regplot(x='Time Spent',y='Score' ,data=Data)\n" ] }, { "cell_type": "code", "execution_count": 179, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 179, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,8))\n", "sns.regplot(x='Relative Score',y='Score' ,data=Data)\n", "#so there is a linear relation between education & Happiness Score" ] }, { "cell_type": "code", "execution_count": 180, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 180, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,8))\n", "sns.regplot(x='Avg Living standards',y='Score' ,data=Data)\n", "#so there is a negative linear relation between Living standard & Happiness Score" ] }, { "cell_type": "code", "execution_count": 181, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 181, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Rs6QgyKGYMRlLr/AriIiI6F4wRNeI2STw2N7teGzvdiSzGs5ejiIQjODn38Yxlczhzz+bwJ9/NoFhTxdGfG48d9CF7ntsR/xsfBZvvncFFpNAt92CmVQOb753Ba9hf0sEaaBwU2ciqyKRVeG0FsK0w8qbEJca7HXedSU6o+rY2Vudb9aIiIiooGaX9IQQB4UQX5X9iAsh/tmSjxFCiN8TQlwVQvxMCPFQrc5TT512C37pe/fh917+Pv7s1x7Frzy+C+7uwn7psXACb565il8++Sn+9btBfHJtGppubOj137kwAYupMAMrUHhrMQm8c2GiFr+dukvnNdyZz2AylkYiq6LZRpJq6dWjQ1B1iXReg5SFt6ou8erRoXofjYiIqKXU7Eq0lPISgMMAIIQwA7gN4K+WfNgvANhf/PEYgN8vvm1Z9/c68MOn9uJXn9yDbybnMRostCNmVB0fXpnGh1em0eNQ8PwhF0a8bjywjnbEO/EMuu2Vf5R2xYRwPFPL30rd5TUDU4kcYikV3Q4Luuycmz427MIbAE6eG8dkLI2d3M5BRERUE1s1zvECgGtSyptLHv9vAPypLFxKPC+E6BFC7JBS3tmic9WNSQg8ONiDBwd78NsvPICPrkwjEAzjy1tzmMuo+PGXt/HjL29jqL8Dfp8bxw+50ddhXfa1dnQ7MJPKwVG2YzmrGvB0O7bqt3NPqjXHrRkGZlN5zKVVdNkLox7t3IR4bNjF0ExERFRjW5U0XgLw9jKP3w+gfOZgsvhYW3EoZpzwuvF//fKDePvXH8M/fXovBnsLAXh8OoU/+GAc//3JT/Evf/wNzl6KIq9Vjnu89MggNEMio+qQKLzVDImXHhmsx29nXUpz3DOpXMUc92fjs/f8moaUmM+omIhlEE1kkdP0Kp6YiIiIaFHNr0QLIawAXgTwL5d7epnH7hpwFUK8AuAVALh/Z+MGw2pwddvxjx7bhZcfHcRYOIFAMIL3LkWRyGr4yfVZ/OT6LDpsZjx30AW/t9CO+OhQH17DfrxzYQLheAaeJtjOUT7HDWBhp/E7FyY2fW4pJZJZDcmsBqfVgh4nmxCJiIiourZinOMXAHwppYws89wkgPJUvBPAt0s/SEr5FoC3gMKe6FocstEIIXBoRzcO7ejGbx7bh/PjMxgNRvDZjVmkcjr+y8/u4L/87M5iO6LPjd/9wYP1Pva6bdUcdzqvIZ3XYFPM2OZQ0GE1s7yFiIiINm0rQvTLWH6UAwDeBfBbQoh3ULihcL4d5qE3ymox4eiBARw9MIBYWTvi1WgSt+cy+NEnN/CjT27g8OA2+L0ePHtgoOHXv231HHdO1RFVdVhMJt6ESERERJtW08ZCIYQThZnnISnlfPGx3wAAKeUfiMIlwX8P4O8BSAP4oZTy89Ves9EbC7fS+FQSo8EITl+MIJZWFx63W0x45sAARrxuHN7VA1MDXnkt321tV0zIqgY0Q+K157dmt7UQguUtREREtCrWfrc43ZC4cGMWp0KFdkRVX/wzdXXZcMLrht/rxmCV2hGrpbSdo95z3HbFjE67BZ1WC0y8Ok1ERERFDNFtpNSOOBqMIPhtvOI5744u+H0ePHdwAF32e2tHbGVCCHRYC4G6vPGPiIiI2hNDdJuajKURCEUQCEYQTeQWHlfMAk/s244RrweP7Olt653KK7GYTOi0W9BhM8Nmaez5ciIiIqoNhug2Z0iJryfmEAgV2hGz6uKe6V6nghcOuTDi9WCfq7OOp2xcitmEDpsFTquZq/KIiIjaCEM0LcjkdXx4ZQqBUAQ/vTVXsZR730AH/F43XlilHbHdKWYTnFYzOmwWBmoiIqIWxxBNy4rEszh9MYLRYASTscX9zCYBPLq3D36vB0/u287tFSsoXaHmyAdR6zg7FsXJc+OYiKUx2OvEq0eHcGzYVe9jEVGdMETTqqSUuHgngdFQGGcvTSGR1Rae67RZ8NzBAfh9bnh3dLOoZAWK2YROmwUdNgu/6SBqUmfHonj93SAUs1hoUVV1iTde9DFIE7Uphmhat7xm4NPxGYwGw/js+iyMsv88dvYW2xG9bri77fU7ZIOzKWZ02izotFlY6ELURF5+6zyiiWzFdp50XoOry463X3m8jicjonpZLURzjxdVsFpMePbAAJ49MIDZVB5nxqI4FYzg6lQSk7EM/vjjG/jRxzdweFcPRrxuPLO/8dsRt1pO1ZFTdcym8uiwmtFlV/g1ImoCE7E0ehyV6z8dihmTsXSdTkREjYwhmlbU12HFLz+8E7/88E5cm0oiUNaO+NNbc/jprTn832eu4Oj+wrjH4cHGbEesFyklkjkNyZy2sDKvk+MeRA1rsNd515XojKpjZ29jFVURUWPgOAdtSKkdcTQYwSfXmqcdsZFYLSZ0WDk/TdRoOBNNREtxJppqIpFV8f6lKQSCYYTuJCqe8+7oht/nZjviGnhDIlFjKW3nmIylsZPbOYjaHkM01dyt2TROhSI4Fbq7HfHJff0Y8bnxyJ4+3mi3itIOaqfVArti4iYUIiKiOmOIpi1jSImvJuYQCEZw7srd7YjHD7nh97mxb4DtiKsxCQGn1QxHMVTzmw8iIqKtxxBNdZHJ6zh3ZQqjwQi+mpireG7fQAf8Pg9eGHaxHXENQgh0WM3odihsSSQiItpCDNFUd+F4FqdDEQRCy7cjjvg8eGKI7YhrsSlmdBe3fHDcg4iIqLYYoqlhSCkRuhNHIBjB+5emkMwttiN22S04dnAAI14PDu3oYkhchdkk0GVX0G23wGLmNx5ERES1wBBNDSmvGfjk2jRGgxFcuFHZjjjY64Df58aJQ2642I64KptiRkdxdppX8omIiKqHIZoa3mwqjzMXIxgNRjA+nVp4XAD4/q4e+H0ePLO/Hw7OBK+qtOGjw2bh/DQREdEmMURT05BS4tpUCqPBMM5cjGIuoy48Z1cKleR+rxsPsh1xTWxJJCIi2hyGaGpKmm7gwo0YRkNhfHptpqId0d292I7ISt61WS0mdNkUdNq5Lo+IiGi9GKKp6cUzxXbEUBgXl2lHHPG58dxBFzrtljqdsDkIUagz7rRb0GE18+ZNIiKiVbRUiP7+Qw/Ld09/CFU31v5gakm3ZtMIBMM4FYpiKlnZjvjUvn742Y64LiYh4LSZ0WmzwGnlNx9ERERLtVSIPnLkiPz888+h6gYyqo5sXkdG1aEbzfX7oM3TjWI7YiiCDy9PIastfmPV12HFC8MujPjcGGI74posJhM6bLwhkYiIqFxLhuilcpqOTF5HKq8jp+p1OBnVUzqv4dzlaQRCYXw1MV/x3AOuToz43Hhh2IUeJ9sR12ISAjbFBJvFDHvxLa/qExFRO2qLEF1O0w2kcjpSeQ1ZBuq2E57P4lQogtFQGN/OZRceN5sEHtvbB7/Pjcf3sh1xIxSzCTbFhE6bBQ6Fs9RERNQe2i5El9MNiVReg6oZ0A0JzZDQiz+MJvu908ZIKRH8No7RYARnL0eRyi1+Q9Vtt+C5gy74fW4Me9iOuBHls9QM1ERE1MraOkSvxiiGas0woGoSqmFA0yVU3YBmSDTb14ZWllN1fHJtBqOhCD5f0o64q88Jv9eNE143Brps9TtkEzKbBBxWMzqshUBt4tgHERG1EIboeyClRF43kFUNZFUdWd682DJmkjmcGYsisEw74kPFdsSn2Y64YUII2CwmOBQzHFYzb1AkIqKmxxBdJTlNRzZf2AqS1wzoklerm5mUElejSYyGInhvSTuiQzHj2QMDGPG58d2d29iOeA9MonCV2m4xF29UNHH0g4iImgpDdA3pxXGQ0ry1phfHQ3QJTTd49bpJaLqBn1yfRSAUwafXZqCV/bl5uu044XXB7/Xg/l5HHU/Z3IQQUMwCdsUMm6Ww9YM3dxIRUSNjiK4jwyjMWpdCdUbVkVUNXsFuYPMZFWcvRTEajGAsXNmO+J37uuH3eXDswADbEavAbBILq/RK4ZpXq4mIqFEwRDcYKSWyaiFQZ1TutW5kN2dSCIQiOBWKYDqZX3jcajHhqX3b4fe5cWQ32xGrRQgBq8UEu8UEm2KG1Wzi1WoiIqobhugGZxgSWU1fuIkxp/FKdaMptSOOBsP48Mo0ckvaEY8fcmHE58He/o46nrI1mYrB2lYM1jaLCYqZwZqIiGqPIbrJSCmR0wzkVANZrXgTI/daN4x0XsMHl6dxapl2xP2uTvjZjlhzFlOh/KV00yI3gRARUS0wRLcIKSvLYjRDIq8ZyBWDNm291doRH9/bB7/Pg8eH+njltMZYVU5ERLXAEN0GDKN49VorjINwr/XWqmhHvBRFKr+kHXHYhRGfGwfdbEfcKqWr1TZL4Uq11WxiGQwREW0IQ3SbymuFcZBsvjBvrRm8Wr0VVmtH3L290I54/BDbEZfz2fgs3rkwgTvxDHZ0O/DSI4N4dKivaq+vmE0L4x82iwlWM7eBEFHrOjsWxclz45iIpTHY68SrR4dwbNhV72M1FYZoAlAZqjO8Ur0lppM5nLkYRSAUwfWydkSTAB7a1YsRnxtPPdDPmV4UAvSb712BxSRgV0zFb/wkXnt+f1WDdDlRftMid1cTUQs5OxbF6+8GoZgFHIoZGVWHqku88aKPQXoDGKJpWTlNR6YYqLm7uraklLgSTSIQjODMWBTzZe2ITmuhHdHvc+O797dvO+Lv/MXXmEnlKurWM6qO7R02/O4PHtyyc5hNpWDN+Woial4vv3Ue0UQWTutip0E6r8HVZcfbrzxex5M1l9VCNNsi2pjNYobNYkYPCiEvo+pI53WkczpHP6pMCIED7i4ccHfh1WeH8Nn1WYwGIzg/PoN0Xsff/TyMv/t5GDu22XHC68YJrxv397RXO+KdeAbdSwps7IoJ4XhmS8+hG7LwzWXZXLvFZFoI1DbFxPlqImp4E7E0ehxKxWMOxYzJWLpOJ2o9DNEEoBDynFZL4TvWTiBbDNSpnAZVZ6CuJsVswlMP9OOpB/oxn1bx3qUoAsEILkUSuDOfxZ9+ehN/+ulNfPf+bvi9Hjx7cACdttb/X3VHt+OuK9FZ1YCnu/7fTGiGgWTOQDKnLTxWulpdunmR89VE1EgGe513XYnOqDp29jrreKrWwnEOWlNeM5DKaYV2RRbB1MyNmRQCwQhOXYxgZkk74tMP9GPE58ZDu3pbdrSgHjPR1cS2RSJqJJyJrg7ORFPVlCrLs6q+0LLYbP8NNTrdkPjyVgyBYAQfXa1sR9xebEf0t2g7Ymk7RziegacG2zm2Wvl8denmRQt3hhPRFilt55iMpbGT2znuCUM01UypXTGrLtaWs1mxelI5DR9cnkIgFMHPJivbEQ+4O+H3evDCsAvbnMoKr0CNphSsS1eqrRwFISJqWAzRtKVyxSvUOZX7qavp27kMToUiCIQiuDPPdsRWIoSAYhawK2bYFTMcCjeCEBE1AoZoqquF/dSqjmyeoXqzpJT4+e04RkNhfHBp6q52xOeHXRjxeXDA3cmrm01MMZuKoZr7q4mI6qVuIVoI0QPgjwB8B4AE8GtSyk/Lnj8G4G8AXC8+9GMp5RurvSZDdPNTdaO4m1pHTjW4/WMTcqqOj67OIBAK44ubsbvaEUe8bhz3utHfyXbEZle6cdFqrhwF4RVrIqLaqWeI/hMAH0op/0gIYQXglFLOlT1/DMA/l1L+0npfkyG69WgLobowU81QfW+mkzmcvhhFIBjGjZnFPaAmATy8uxd+rwdPP7AdNrYjtpTyKnM7r1gTEVVVXUK0EKIbwNcAhuQKn4Qhmpaj6QayCzcr6shrDNUbUWpHHA1GcOZiBPHs4m7jDqsZzx4cwIjXg+/c381xjxZkNomFQM1iGCKizalXiD4M4C0AIQAPAvgCwGtSylTZxxwD8J8BTAL4FoVAHVzmtV4B8AoA7Nq16+GbN2/W5MzUmAxDLqzTyxRDdbPN8teLqhv4yfgsRkNhnB+fhV4277Fjmx1+rxt+nxs7ttW/0IRqx2Iq2wRSHAkxiULg5jdSREQrq1eIPgLgPICnpJQ/EUK8CSAupfxXZR/TDcCQUiaFEL8I4E0p5f7VXpdXoqkUqjN5HVmtsAWE1jafVnFmLIpAKIzLkWTFc9/buQ0jXjeOHhhARxu0I9IiIQTMQkAIwFN9Nq4AACAASURBVGQSsJgEzCYBxWSCxVz8uZmz10TUnuoVoj0Azksp9xTffwbAv5BS/v1Vfs0NAEeklNMrfQxDNC2lGxJZVUdGLQRrzlSv7fp0CqdCd7cj2ortiP4Wb0ekjTMJUbxyvczPS22NXM1HRC2mnjcWfgjgn0opLwkh/g2ADinl/1L2vAdAREophRCPAvhPAHavNEMNMETT2vKagXReQzpfmKmmlZXaEUeL7Yjl8+f9nVYcP+TGiM+N3dtbrx2RaoM3OhJRK6lniD6Mwoo7K4BxAD8E8AMAkFL+gRDitwD8JgANQAbA70gpP1ntNRmiaSN0Qy4E6nRe5yz1KpI5DR9cKrQjfnO7sh3xoKcLI143nht2YZuD7Yi0fmaTgM1S2HdtVwr155zDJqJmwbIVIhQCdTKnIZnTOEe9htvFdsRTS9oRLSaBx4e2Y8TnxmN7+2BhOyJtUGnftd1iWmho5AgIETUqhmiiJfKagWROQyqncYZ6FYaU+Ob2PALBCD64PIV0WTviNoeCF4Zd8Pvc2O9iOyLdO46AEFGjYogmWkW2eENiWtV5hXoVWVXHR1enMRqM4MubMZT/zbG3vwMnvG6cOOTCdrYj0iZxBISIGgVDNNE6lWaoS5s+yvcq06KpRA6nL0YQCEZwc7ayHfHI7l74fR48tY/tiFQdQgjYFsY/TLBZOAJCRFuDIZroHuWKJS+5Yi25ZnD0o5yUEpciCYwGI3h/LMp2RNoyinkxVNsVMxTO5xNRDTBEE1WJqpfqyAtr9HilelFeM/CT67MIBMM4f72yHfG+nmI7otcDzzZ7HU9JrapUd241LzYzMlgT0WYxRBPVgJQS6byOVE5DiuvzKsyl83hvLIrRYARXopXtiA/u3Aa/z4NnD/TDaWU7ItWOSQgoxZpzq8W00MZYest/HSGitTBEE9WYYUik8oX1eZk8b04sd306hdFgGKcvRjGbWmxHtFtMeHp/P/xeN77PdkSqA/NCqDYthmuzKAvbrDsnancM0URbSNML6/MSWa7PK6cbEl/cjGE0GMbH12Yq2hEHOm047nVhxOvBru3OOp6SqJLZVNhrXT4mYjVzWwhRu2CIJqqTrKov7KPm/PSixXbEML65Ha94btjThRGfG88ddKGb7YjUgEqFMYpJwGI2wWIWUEwmKGbBAiKiFsMQTVRnpfnpZE5j/fgSt+cyOBWMIBCKIBxfbEdUzAJPDG3HCS/bEal5CFEYBynd2KiYBRRz4eq1iaMhRE2HIZqogbB+fHnl7YhnL00hU/a16XEoeP6QCyNeNx5gOyI1KYvJBMUiOBpC1EQYookaVKl+PJnVuIO6zFrtiH6vG8fZjkgtQAgBxVwaDzHxxkaiBsMQTdQEUjkN8xkVWV6drjCVyOFUqDDucWtpO+KePox43XjqgX5YLRz3oNZTGg8pbQ+xmE0Va/oUM4M2US0xRBM1kayqYz6jIpXT1v7gNiKlxFg4gUAwgvcuRZEob0e0mfHcQRf8Xjd897EdkdqLEAJmsXQ9393r+ziTTbRxDNFETUjVDcxnVCSyGm9EXCKvGTh/fQaBYAQ/WdKOuLPXgRNeN0543fB0sx2RqMQkisHavMx+bF7VJloWQzRRE9MNiWRWQzyrcu/0MmJl7YhXl7QjHh7cBr/Xg6NsRyRal/Kr2kr51ewlV7n5rz3ULhiiiVpEJq8jnuWox0rGp5IYDUZwZuzudsRnDgzA73Xj8GAPr7YRbRLbHqldMEQTtRhNN5DIFloRudXjbroh8fnNWQSCEXx0dRqqvvj33ECnDSe8Lvh9HuzqYzsiUa2UbopUlqz0403A1EwYoolaWCavI5FTkc7pMJrs/+etkMxqOHu5MO4R/LayHfHQji74vWxHJNpKpcbHUqC2WVhGQ42LIZqoDUgpkcrrSLEVcUW3YxkEQmEEQhFE4rmFx0vtiH6fG4/uYTsiUT0UGh4rr1orZs5fU30xRBO1Gd2QSOc1pHI6MioD9VKGlPjZ5DxGg2F8cHkKWXVxJKbXqeD5YRdGfB484Oqs4ymJaLkadTY90lZiiCZqY4YhkVZ1pItXqDnyUSmj6vjwyjROBcP48tZcRTvi0ECpHdGNvg5r3c5IRJVK4dpmqbxyzX9FompjiCYiAIWRj3ReRzKnbemGj8/GZ/HOhQnciWewo9uBlx4ZxKNDfVv2+dcrGs/i9MUoRoNhTMQyC4+bBPDInj6M+Nx4ch/bEYkalXmZGxltFl61pnvHEE1Ed1EXNnyoFWUl1fbZ+CzefO8KLCYBu2JCVjWgGRKvPb+/IYM0sNiOOBqM4P0l7YidNgueOzgAv88N7w62IxI1g4VgXRawFV61pnVgiCaiFUkpkcxpiGc15FS96q//O3/xNWZSOTgU88JjGVXH9g4bfvcHD1b981VbXjPw6fgMRoNhfHZ9FuXfb+zsdcBfbEd0sx2RqKmYSltCioG6FLC535rKrRaiWeFF1OaEEOiyK+iyK8hpOuIZDclc9arG78Qz6LZX/lVjV0wIxzMr/IrGYrWY8OyBATx7YACzqTzOjEURCIZxbSqFyVgGf/zxDfzo4xs4vKsHfq8bR/cPwGE1r/3CRFRXhpTIqjqySy4elEZCSsG6VJPOWnRaileiiTbo7FgUJ8+NYyKWxmCvE68eHcKxYVe9j1VVhiGRqFLVeLNfiV7JtWgSgVAEpy9GEEurC4/bFROO7i+Mexwe7IGJ4x5ELaN0Q6PFXGhlLP95IWhzJV+r4TgHUZWcHYvi9XeDUMwCDsWMjKpD1SXeeNHXckG6ZLNV4804E70RuiFx4cYsRoMRfHKtsh3R1WXDCa8bfq8bg2xHJGoLy93cyDKZ5sUQTVQlL791HtFEFk7r4nhCOq/B1WXH2688XseT1Z6mG5jPqEhktQ2vyStt5wjHM/A08HaOzUpkVZy9NIXRYAShO5XtiN4d3fD73Hju4AC67GxHJGo3FtPizLXFJGAqvjWXveVV7MbDEE1UJU//2/fQ41Aq/qKTUmI+o+LD/+35Op5s6xiGRDyrIp7RoBmbG/VoZROzaQRCEZwKRRBNVLYjPrmvHyM+Nx7Z08cZSyJaYDYJWMymhVCtmEwwm4uFM7yaXRe8sZCoSgZ7nXddic6oOnb2ts8/1ZtMAj1OK7Y5FCRzGuYzKvJafcN0I+6hHuxz4n98ei9++NQefD0xh0AostCO+MHlKXxweQq9TgXHD7nh97mxb4DtiETtTjckdENHboXnLSYTFEvljY+KWbBkpk54JZpoA9pxJno90vlCmM7kq78iby3NNHOdyev48MoURkMRfLWkHXHfQAf8Pg9eGHaxHZGINsQkBBRLsRbdbFoI2aWxEbp3HOcgqqLSdo7JWBo7W3Q7x73KqjrmM/d+E+K9aNbtH5F4FqcvRjAajGBySTvio3v7MOLz4Imh7WxHJKJNMYni3LW5NH9tqpjDtph4JXs1DNFtoh1Wr1FzyGuFmxCruW96JS//4Xl02y0QKJtTR2FF35//euPf7CmlxMU7CYyGwnh/bArJ3JJ2xOEBjHg9OLSjizcdEVHNWMrmr0vBe+HHkvfbCUN0G+CYATUiTTcQz2qIZ9QNb/RYr2a9Er2cvGbgk2szCISWb0cc8blx/BDbEYmofoQohGqTCRUBuzyEt9LVbYboNtDOq9eo8ZU2esxnVOhGdf/OaaaZ6I2YTeVx5mIEo6EIxqdSC48LAN/f1QO/z4Nn9vdXfPNARNQoSsU0pVESxVRofyzNajdLyGaIbgNcvUbNQEq5cGV6s02I5Vp9D/W1aBKjoTDOXIze1Y747IEB+L1uPMh2RCJqIuXtjyvNajfC7myG6DbAK9HUTKSUSOY0zKWrG6ZbnaYbuHAjhtFQGJ9em6loR3R3L7YjttPKRSJqbUtntZVi6N6qK9oM0W2AM9HUrJI5DbFUnmF6g+IZFe9fmkIgFMbFO4mK57w7ujHic+O5gy502lkHQEStq3RFWzEXxkUWr2SbqnIzJEN0m+DqNWpmDNP37tZsGqdWaEd8al8//GxHJKI2tnR0pNQEqRSDtmJeeWyEIZqImkZhzCNf9xbEZmRIia9uzWE0FMGHl6eQLfsa9nVY8cKwCyM+N4bYjkhEVMFSvPFx6U2QDquFIZqImksmXyhuSee3rrillWTyOs5dmcJoMIKvJuYqnnvA1Qm/140XDrnQ62Q7IhHRcqwWEwb7Ohiiiag5bWVxS6sKx7ML4x7l7Yhmk8Cje/ow4nPjcbYjEhFVYIgmopagGxKJrIp4RoNmcNTjXkgpEboTRyAYwXuXokjl9IXnuuwWPHewMO4x7GE7IhERQzQRtRQpJVJ5HfGMiqyqr/0LaFmFdsRpjAYjuHCjsh1xsNeBEZ8HJ7xuDHTZ6ndIIqI6qmuIFkL0APgjAN8BIAH8mpTy07LnBYA3AfwigDSAfyKl/HK112SIJqKSnFaYm07ldI56bMJsKo/TFyMIBCMYn65sR3yo2I74NNsRiajN1DtE/wmAD6WUfySEsAJwSinnyp7/RQC/jUKIfgzAm1LKx1Z7TYZoIlpKNyTiGRXxbPVrxduJlBJXo0kEQhGcuRjFXGaxHdGhmHH0QD9GfB58b+c2tiMSUcurW4gWQnQD+BrAkFzhkwghTgI4K6V8u/j+JQDHpJR3VnpdhmgiWomUEvGMhvmMyrnpTdJ0A5/dmEUgGMGn45XtiJ5uO054XfB7Pbi/11HHUxIR1c5aIbqWVVZDAKYA/EgI8SCALwC8JqVMlX3M/QAmyt6fLD62YogmIlqJEALbnAq6HRbEsxrm0wzT98piNuHJff14cl9/sR0xitFgBGPhBMLxLP7s/C382flb+M593fD7PDh2cACdNrYjElH7qOWV6CMAzgN4Skr5EyHEmwDiUsp/VfYx/x+A/0NK+VHx/TMA/lcp5RdLXusVAK8AwK5dux6+efNmTc5MRK1FSolErhCm2YRYHTdnUggU1+VNJ/MLj1stJjy1bzv8PjeO7GY7IhE1v3qOc3gAnJdS7im+/wyAfyGl/PtlH8NxDiKqudJGDzYhVo9uSHw1MYfRYBgfXZm+qx3x+CEX/F62IxJR86rbOIeUMiyEmBBCHJRSXgLwAoDQkg97F8BvCSHeQeHGwvnVAjQR0b0QQqDTZkGnzcImxCoxmwQe3t2Lh3f3Ip3X8MHlaZwKhfHVxDxmU3n85eeT+MvPJ/GAqxMjPjdeGHahh+2IRNRCar2d4zAKK+6sAMYB/BDADwBASvkHxRV3/x7A30Nhxd0PpZSrXmbmlWgiqgaux6uN8HyhHXE0FMa3c9mFx80mgcf29sHvc+PxvWxHJKLGx7IVIqJVaLqBeFZDPKPCaLK/DxuZlBLBb+MIhCJ4f0k7YrfdgueGC+MebEckokbFEE1EtA6GIZHIcj1eLeRUHZ9cm8FoKILPl7Qj7u5z4oTXzXZEImo4DNFERBsgpUQyVwjTvAmx+maSOZy+GEUgFMH1pe2Iu3sx4nPj6Qf6YWc7IhHVGUM0EdE9Suc1zCTzXI9XA1JKXIkmEQhGcGYsivkl7YjPHhjAiM+N77IdkYjqhCGaiGgTpJSIZzXMpfOsFK8RVTfw2fVZBEIRfHptBppR2Y7o97pxwufG/T1sRySirVO1EC2EeBrAfinlj4QQAwA6pZTXq3jWdWGIJmp9Z8eiOHluHBOxNAZ7nXj16BCODbvqeibDkJjLqJjPqNzmUUPzGRXvj0UxGorgUjhR8dx37++G3+vBs2xHJKItUJUQLYT41wCOADgopTwghLgPwH+UUj5V3eOujSH6bo0YOIju1dmxKF5/NwjFLOBQzMioOlRd4o0XfQ3x37WqG4il8kjmuGe61m7OpDAajOD0xeXbEUd8Hjy8u5ftiERUE9UK0V8B+D6AL6WU3y8+9jMp5feqetp1YIiu1OiBg2ijXn7rPKKJLJzWxSuN6bwGV5cdb7/yeB1PVimvGUhkVSRzGsc8akw3JH56K4ZAKIIPr0wjV3bD5/ZSO6LPg739HXU8JRG1mmo1FuallFIIIQFACMG/qRrEyXPjUMxiIXA4rRak8xpOnhtniKamNBFLo8ehVDzmUMyYjKXrdKLlWS0mbO+0oa/DimROQyKrIavqa/9C2jCzSeDInj4c2dOHVE7DuctTGA1F8LPJecyk8viLzyfxF59P4oC7E36vGy8Mu7HNqaz9wkREm7DeEP2XQoiTAHqEEL8O4NcA/GHtjkXr1SyBg2i9Bnudd12Jzqg6dvY663iqlQkh0GVX0GVXkNN0JLIaklmNxS010mGz4Be+uwO/8N0duDOfKbQjBiO4M5/F5UgSlyNJ/P4H43h8bx/8Pg8eH+qDYmY7IhFV37pCtJTy3wkhTgCIAzgI4HUp5amanozWpdkCB9FaXj06hNffDSKd1ypGlF49OlTvo63JZjHD1mlGn9OKRFZDPKtyPV4N7djmwD9+Yg9+5fHd+PntOEZDYXxwaQqpvI6Pr83g42sz6LZb8PywCyM+Dw64O9mOSERVs+ZMtBDCDGBUSnl8a460Os5EV+JMNLWi0s2yk7E0djb5zbLpfKG4JZPnqMdWyKmFAB0IhvH5zVhlO+J2J/xeN44fYjsiEa2tWjcWvgvgV6SU89U+4EYxRN+tlQIHUavKawbmM4UbEbkib2tMl9oRg2HcmFkccTMJ4KFdhXbEp9iOSEQrqFaI/ksAjwM4BWChp1VK+T9X66DrxRBNRM2MK/K2XqkdcTQYwZmLEcSzi197p9WMYwcG4Pe58d37t3Hcg4gWVCtE/+pyj0sp/2ST59swhmgiagU5TcdsKs8xjy1WakccDUZwfryyHXHHNjtOeN3we924j+2IRG2vmo2FVgAHiu9eklKqVTrjhjBEE1EryeR1zKbzyHE93pabT6t471IUgWAElyJL2xG3YcTnxrMHBtDBdkSitlStK9HHAPwJgBsABIBBAL8qpTxXvaOuD0M0EbWiVE7DXEZlmK6TGzMpBIIRnLoYwUxZO6LNYsLTD/TD73PjoV1sRyRqJ9UK0V8A+EdSykvF9w8AeFtK+XBVT7sODNFE1MoyeR1zGY551ItuSHx5K4ZAMIKPri5pR+y04sQhN/w+N/ZsZ+cYUaurVoi+q+Kbtd9ERLWTVXXEi9s8qD5SOQ0fXJ7CaDCCb25XLqc66O7CCa8bLwy72I5I1KKqFaL/GIAE8GfFh/4HABYp5Q+rdtJ1YogmonbC1XiN4du5QjtiIFRoRyyxmAQeG+rDiNeDx9iOSNRSqhWibQD+JwBPozATfQ7Af5BS5qp52PVgiKb1Ku3PnoilMcj92dTkdEMinlERz6rQDYbpepFS4pvb8wgEIzh7eQrpsrGbbQ6l2I7oxn4X2xGJml21QnQHgKyUUi++bwZgk1KmV/+V1ccQTevBJkdqVVJKxLMa4hlWitdbVtXx8dVpBEIRfLGkHXHPdif8Pg+OH3Khv5PtiETNqFoh+jyA41LKZPH9TgABKeWTVT3tOjBE03q8/NZ5RBNZOK2Lq6nSeQ2uLjvefuXxOp6MqHpSOQ2zqTzDdAOYSuRw5mIEo6EIbi5pR3x4dy/8Xg+efmA7bGxHJGoaa4Xo9S6/tJcCNABIKZNCCGdVTkhUAxOxNHoclTf7OBQzJmNb/o8nRDXTYbOgw2ZBPKsilspzzKOOBrpseOnRXfjBI4O4HEliNBjGe2NRxLMaLtyI4cKNGDqsZjx7cAAjXg++c383xz2Imtx6Q3RKCPGQlPJLABBCHAGQqd2xiDZnsNd515XojKpjZy+/96PW021X0Gm1YD6jYi6j8gbEOhJC4KCnCwc9XfjNY/twfnwWgWAY56/PIpXX8bffhPG334RxX48dfq8bfq8Hnm32eh+biO7Besc5HgHwDoBvUdjScR+AH0gpv6jt8e7GcQ5aD85EU7vSdAOz6TySWa7GayRz6TzeG4siEIrgciRZ8dyDO7fB7/Pg2QP9Fd/4E1F9bWomuhieJ6SUYSGEAuBVAP8tgBCA16WUs7U49GoYomm9Sts5JmNp7OR2DmozOU3HfJp7phvR9ekUAsEwTl+MYiZV2Y74zP5++L1ufJ/tiER1t9kQ/SUKNxTOCiGOonA1+rcBHAZwSEr5D2tx6NUwRNNquNaOqFJeMzCX4ZXpRlRqRxwttiPmy9oRBzptOO51we91YzfbEYnqYrMh+msp5YPFn/+/AKaklP+m+P5XUsrDNTjzqhiiaSUc4SBamaobmEuztKVRJXMaPrg0hUAojG9uxyueO+jpwojXjeeGXdjmYDsi0VbZbIj+OYDDUkpNCDEG4BUp5bnSc1LK79Tk1KtgiKaVcK0d0do03cBcRkUiyzDdqG4X2xFPLdOO+MS+7fB73Xhsbx8sbEckqqnNrrh7G8AHQohpFLZxfAgAQogHAMxX9aREm8S1dkRrs5hN6O+0oddpxXxGRTyjwmCYbij39zjwT57cg3/8xO6FdsQPiu2IH16ZxodXptHjUPD8ocK4B9sRiepjze0cQojHAexAoVwlVXzsAIDO0sq7rcQr0bQSXokm2jjWiTeHrKrjo6vTGA1G8OXNGMr/pPb2d8DvdeP4IRe2sx2RqGqq0ljYSBiiaSWciSa6d4YhkchqmM+o0Aw2IDayqUQOp0IRBEIR3JqtbEc8sqcPfq8bT+1jOyLRZjFEU1vhWjuizZFSYj6jYj7DK9ONTkqJsXACgVAE7xfbEUs6bGYcO+DCiM8N331sRyS6FwzRRES0YYYhMceZ6aaR1wycvz6DQDCCn1yfrfgGiO2IRPeGIZqIiO6ZbkjE0nlu82gisXQe749FMRqM4EqU7YhE94ohmoiINk3TDcS4Z7rpXJ9OYbTYjjhb1o5ot5jw9P5+jPg8ODzYw3ZEomUwRBMRUdWwtKU56YbE5zdnEQhG8PG1mbvaEU94XfD7PNjV56zjKYkaC0M0ERFVHcN080pmNZy9PIVAMIyff1vZjjjs6cKIz43nDrrQzXZEanMM0UREVDMM083tdiyDQCiMQCiCSDy38LhiFnhiaDv8Pjce3cN2RGpPDNFERFRzmm5gvlgnzm0ezceQEj+bnMdoMIxzl6eRUfWF53qdCp4fdmHE58EDrs46npJoazFEExHRljEMiXhWRTyjsbSlSWVUHR9dmUYgGMaXt+Yq2hGHBkrtiG70dVjrdkaircAQTUREW05KiUROw3xahaozTDeraDyL0xejy7YjPrKnDyM+N57c1w+rheMe1HoYoomIqK5SOQ1zGRW5shEBai4L7YjBCN67FEViSTvicwdd8HvZjkithSGaiIgaQlbVMZdWkc5ra38wNay8ZuD8+AxGgxF8dqOyHXFnrwMnvG6c8Lrh6WY7IjU3hmgiImooOU3HfEZFKqdzo0eTi6XzOHMxikAwgqtTle2Ihwd74Pe68eyBATis5jqdkOjeMUQTEVFDymsGZlI5ZPIc82gF16aSCAQjOH0xglhaXXjcbjHhmQMDGPG6cXhXD0wc96AmUdcQLYS4ASABQAegLT2EEOIYgL8BcL340I+llG+s9poM0URErSWV0zCbyvMGxBahGxIXbpTaEaeh6os5w9Vlw/FDbEek5tAIIfqIlHJ6heePAfjnUspfWu9rMkQTEbUeKSXmMypiaZUjHi0kkVVx9tIUAqEIgkvaEQ/t6ILf68HzwwPosrMdkRrPWiHastUHIiIiWkoIgR6nFZ02C2ZTeSRzvPmwFXTZFfyDB+/DP3jwPkzG0giEIggEI4gmcrh4J4GLdxL4D2ev4ol92zHi9eCRPb1sR6SmUesr0dcBxABIACellG8tef4YgP8MYBLAtyhclQ6u9pq8Ek1E1PpyWmGTR4phuuUYUuLriTkEQhF8cHkKWXVxjKfXqeCFQy6MeD3Yx3ZEqrN6j3PcJ6X8VgjhAnAKwG9LKc+VPd8NwJBSJoUQvwjgTSnl/mVe5xUArwDArl27Hr5582bNzkxERI0jrxmYy+SRzDJMt6KMquPDYjviT5e0I+4rtiO+wHZEqpOG2c4hhPg3AJJSyn+3ysfcwCoz1ACvRBMRtSNVNzCXVpHMaZyZblGReBanL0YwGoxgMpZZeNwkgEf39sHv9eDJfdvZjkhbpm4hWgjRAcAkpUwUf34KwBtSyv9a9jEeABEppRRCPArgPwHYLVc5FEM0EVH70nQDcxkViSzDdKuSUuLinQRGQ2G8PzZVMR/fabPguYMD8Pvc8O5gOyLVVj1D9BCAvyq+awHw51LK/10I8RsAIKX8AyHEbwH4TQAagAyA35FSfrLa6zJEExGRbhS2ecQzKgyG6ZaV1wx8cm0GgVAYn12fRVk5Inb2OuAvtiO62Y5INdAw4xzVwhBNREQlhiERz6qYz6gV9dPUemZTeZwZiyIQDOPaVGrhcQHg8K5CO+LR/WxHpOphiCYiopYnpUQ8o2Euk2eYbgPXokmMhsI4czFa2Y6omHB0f2Hc4/Ag2xFpcxiiiYiobRjFMY95jnm0BU038PnNGEaDEXyyTDviCa8bIz43dvayHZE2jiGaiIjajm5IxNJ53oDYRhJZFe9fmkIgGEHoTmU7ondHN0Z8bjx30IVOO3vmaH0YoomIqG2puoEYGxDbzsRsoR3xVKjQjliimAWe2tcPv8+NR/b0wWziuAetjCGaiIjaXk7TEUupSOcZptuJISW+mphDIBjBuSt3tyMeP+SG3+fGvgG2I9LdGKKJiIiKMnkds+k8cqpe76PQFsvkdZy7MoXRYARfTcxVPLdvoAN+nwfHD7nQ62Q7IhUwRBMRES2RymmYTeWh6sbaH0wtJxzP4nQogkBo+XbEEZ8HTwwV2hE/G5/FOxcmcCeewY5uB156ZBCPDvXV8fS0VRiiiYiIVhDPqphLqdAMhul2JKVE6E4cgWAE71+qbEfsslvg29GNK9EkHIoJDqsZWdWAZki89vx+Buk2wBBNRES0CikLa/Hm0lyL184K7YjTCIQiMCvd1AAAHfFJREFUd7UjKmaBbruCbrsFmiGxvcOG3/3Bg/U7LG2JtUI097wQEVFbE0Kgx2lFl13BXDqPONfitSWrxYRjB104dtBVaEe8GMEffngdmiGh6hIzqTxmUnk4FBPiGRUZVYdDYTtiOzPV+wBERESNwGwS2N5pw2Cvg7uE21xfhxW/fGQQ37lvG9xdNvQ4FJiL7YcZ1cB8VsN/9/uf4N/+1zH89FaM/4LRpvi3BBERURmL2QRXlx09DgOxdB4p7phuWy89Mog337uCLrsF/Z0K5tIakjkNqiGRVQ2MBiMYDUbg7i60I/q9bEdsJ5yJJiIiWkVW1TGbyiPLtXhtqbSdIxzPwFPczjG8o6vQjhgK4+KdRMXH++4rtCMeO8B2xGbHGwuJiIiqIJ0vrMXLa9zkQYtuzaQRCIVxKhTFVLKyHfHpB/pxwst2xGbFEE1ERFRFiWxhkwd3TFM53ZD4emIOo6HI/9/evQfHdZ73Hf89e8PuAuACIAmAIkDR1I0iZPnGWBpLlWlJJh1JYdpJPHGaOLWTVnLbuO4fmbhJWzWjTGaaSSaVM57UUmSP7aaxM3HdWu7FhGSbpmVFtilZF4OkaJmiJEoiwAsuBHYXe8HTP3ZJAhAI7pJ73+9nRkPgnIPFw3dWOD+8fM/76PuHTyi96Jetvs6I7tjar10jA9pCd8SmQYgGADScvYcm9NC+I3ptMqnh3rjuu22Ldmztr3dZJXN3zc7nCNNYUTKT077DJzV64LiefW16ybmr+7u0a2RAd2ztVw/dERsaIRoA0FD2HprQ/Y+OKRw0xcJBpbJ5ZfOuB3aPNFWQPmtuPqepVJZW4ljR8em0Hit2R3x96nx3xGDA9N7Nfdo1MqCbi90R0VgI0QCAhvLrDz+liTNpxSPnH7pKZnLq747qK/feXMfKLk8yU5iZ5gFErMTdNfbGjEYPjOu7L05obv78+2RNNKQPXNevnSMD2jrYLTPWTzcCmq0AABrKa5NJ9cTCS47FwkEdm0zWqaLKiEdCikdCSmfzmkpmlcywNR7OMzPdsDGhGzYm9K93XKUnf35KowfG9eOjpzWTzukbz72hbzz3hjb1xbVz24A+uG1A67s76l02VkGIBgDU1HBv/C0z0alsvmX2142GgxpMBJXJLWgqldHcfJ4OiFiiIxzUB7b26wNbC90RHz84rtGxcR05OadXTyf1yBMv6/NPvKx3b+rRzpFB3XrNOrojNiCWcwAAaqrV1kRfTDa/oOlUVmdoJ45VuLtempjVngPj+s7BCU2lsufOxcJBvf/a9do1MqC3DyUUYLlHTbAmGgDQcM7uznFsMqmhJtyd41LkF1xTyYxmCNO4iFx+QT98+bRGD4zrH35+SrmF8++XwTXRc8s9NvbG6lhl6yNEAwDQQHL5BZ1OZjSbZs00Lm46ldXeFye0Z2xch44v7Y54wxVrtHNkUDuuW6+uDlboVhohGgCABjSfK7QTT2XYzQOleeXUnEYPjOuxA+M6OZs5dzwSCuiWq9Zq18ig3nNlL90RK4QQDQBAA0tl8jo1N087cZQsv+D6yauTGj0wru//7KTmF7131nZGdMf1/do1Mqi3reusY5XNjxANAEATmJvPaTKZIUyjLHPzOe07fEKjB8b13LGl3RGvKXZHvJ3uiJeEEA0AQBMhTONSvTmdOtcd8Y2p9LnjwYDp5rf1aefIoG7e0qdwkO6IpSBEAwDQhAjTuFRnuyPuGRvX3hcnNJdZ2h3x9q2F5R7XDnTRHXEVhGgAAJoYYRqXYz6b1w9+fkqjY8e1/5VJLdotT1euLXRHvPN6uiOuhBANAEALmJ3PaXIuo2yeMI1Lc3J2Xo8fnNDo2HEdPZU8dzxg0rs39WrnyIBuvXqdonRHlESIBgCgpcyks5pOZgnTuGTurp9NzGp0bFzfPjSh6UXdEeORQnfEnSMDevvG9u6OSIgGAKDFuLtm0jlNJ7PKLRCmcemy+QX96ALdETckovrgtgHt3DagK3rarzsiIRoAgBa1sOCaSmU1ncrSShyXbTqV1XcPTWjPgXG9uKw74ts3JrRrZEC3Xds+3REJ0QAAtLhcfkGn5zKanaeVOCrj6Kk5jY6N67GD4zq1rDvirVev066RAb17U2t3RyREAwDQJtLZvE7NZTSfpZU4KiO/4Hrm1UmNjo3riZfe2h3xzuv7tbNFuyMSogEAaDNn0llNzrFeGpV1tjvingPjen5Zd8RrB7q0c9ug7tjar0Q8XKcKK4sQDQBAG1pYcE2nsppivTSq4I2p890R35w+3x0xFDDdtKVPu7YN6qYm745IiAYAoI2xXhrV5O564fVpjY6Na+/hE0qu0B3xQzcM6pr+5uuOSIgGAACsl0bVpbN5/eClUxo9cFxPL+uOuPlsd8RtA1rX1RzdEQnRAADgHNZLoxZOzs7r8QPj2nNgXK8s6474nit7tXPboG69eq06Grg7IiEaAAAs4e6aSrJeGtXn7jo8Pqs9Y8f1nUMTmkmfX1bUGQnq/det185the6IjbbcgxANAABWxHpp1FI2v6AfHjmtPQeO66kjp5Vf1h1x57YB7RwZ0IZEY3RHJEQDAIBVsV4atTadzOrbhyY0euC4Do/PLjl341BCO7cN6P3XrldnHbsjEqIBAEBJWC+Nenj55JweO/DW7ogdxe6IO+vUHZEQDQAASsZ6adTL2e6Ie4rdETOLuiOu64rozusHtGtkQFeurU13REI0AAAoWy6/oNPJjGbTrJdG7c3N5/S9wye0Z2xcL7y+tDvidYPd2rltQLdv7VciVr3uiHUN0WZ2VNIZSXlJueVFWOExzM9IuktSUtLH3P2Z1V6TEA0AQO2wXhr19nqxO+JjK3RHvHnLWu0aGdB731b57oiNEKK3u/vJC5y/S9InVQjRN0n6jLvftNprEqIBAKi92fmcTs9mWC+NullY1B3xe8u6IyZiYd2+tV+7RgYq1h2x0UP0Q5L2uvtXip+/KGmHu795odckRAMAUB+sl0ajSGfzeuKlk9ozNq5nXpnU4nfj5rVx7RwZ1Aev79fay+iOeLEQXe19Q1zSqJm5pIfc/eFl5zdKem3R58eKxy4YogEAQH2YmXo7I+qOhlgvjbqKhoO68/oB3Xn9gE6cmdfjB8e1Z2xcr55O6uippB7ed0SPfP+Itl/Zq50jg7rlqsp3R6x2iL7F3d8ws35Jj5nZIXfft+j8SnPtb/nV1szulXSvJG3atKk6lQIAgJKEggH1d0e1Jsp6adTf+u4O/fp7N+kjvzCsF8fPaM/YuL5b7I74o6OT+tHRyXPdEXdtG9QNG9dUZLlHzXbnMLM/kjTr7n++6BjLOQAAaHKz8zlNzmWUzbNeGo0hk1vQD18+rdGx43rq5aXdEa/oKXZH3DaowUT0gq9RtzXRZtYpKeDuZ4ofPybpAXf/1qJr7pb0uzr/YOFfuvt7V3tdQjQAAI3H3XVmPqcpmrWgwUwlM/rOoQntGRvXzyaWdkd8x1BCO0cG9f5r1ykeWbpAo54heouk/1n8NCTpb939T8zsE5Lk7p8rbnH3WUkfUmGLu4+7+6oJmRANAEDjWlhwzaSzmkpmtcDDh2gwL5+c056x43r84IROz53vjhgNBXTrNeu0a2RQ7xzuUTBgNFsBAAC1l19wTSUzmknn2MkDDSe/4Hr6lUntGTuuH/z81JLuiOu7OnTntn7dc+MG3XpNPyEaAADUXn7BNZ3KaibFzDQa02w6p72HT2h07Lh++sbMknOv/Ok9ddviDgAAtLFgwNTXGVFPLKyZdFbTqeySh7yAeuuKhnTPjRt0z40bCt0Rx8Y1emBcx2fSq34dM9EAAKBm3F0z6ZxmUll280DDWnDXwTdntPudQ8xEAwCA+jMzJWJhrYmGNJPOaTrJbh5oPAEzvWtT76rXEKIBAEDNnQ3T3R0hTacKyzxYM41mEqh3AQAAoH0FAoVW4sN9ca2JhSvSSQ6oBUI0AACou2DAtK6rQ0O9MXV18A/laHyEaAAA0DDCwYD610R1RU9MkRAxBY2LdycAAGg40XBQQ71xre3qUDDAEg80HkI0AABoWIlYWEO9hfXSQCMhRAMAgIZ2dr30xt6YYpFgvcsBJLHFHQAAaBIdoaA2JGJKZ/OaTGaUyuTrXRLaGDPRAACgqUTDhTC9IRFTNMzMNOqDmWgAANCUYpGgYpGYUpnCzHQ6y8w0aocQDQAAmtrZMJ3M5HRqNqNsnjbiqD5CNAAAaAnxSEix3qBm0jlNJTPKL9BGHNVDiAYAAC3DzJSIhdXdEdJUKqvpVFbuhGlUHg8WAgCAlhMImPo6IxrujakrypwhKo8QDQAAWlYoGFB/d6GNeAc7eaCCCNEAAKDlRcNBbeyJqX9NVKEA8QeXj3/fAAAAbaOrI6TOSFBTyaymWC+Ny8CvYgAAoK2YmXpZL43LxDsHAAC0lb2HJvTQviN6bTKp4d64fvuWzXr7UI+SmVy9S0MTYSYaAAC0jb2HJnT/o2OaOJNWTyysiTNp/fH/OahDb85oQ4KHD1E6QjQAAGgbD+07onDQFI+EZFb4Mxw0PbTviGKRwsOHA2uiCgeJSFgdyzkAAEDbeG0yqZ5YeMmxWDioY5PJc593doQUjwR1Zj6nqbmscgu0Ecdb8WsWAABoG8O9caWy+SXHUtm8hnrjS46ZmdZEwxrui6mvM6KAWS3LRBMgRAMAgLZx321blM27kpmc3At/ZvOu+27bsuL1ZqaeeETDfXElYmEZYRpFhGgAANA2dmzt1wO7R9TfHdV0Kqv+7qge2D2iHVv7V/26YMC0tqtDQ2yLhyLeBQAAoK3s2Np/0dB8IeFiG/FELK+pZFZz82yL164I0QAAAGXqCAU1sCaodLYQptljuv0QogEAAC5RNBzUYKIQpieTGaUy+Yt/EVoCa6IBAAAuUzQc1IZETBsSMUVp2NIWmIkGAACokFgkqFgkplSmMDOdzjIz3aoI0QAAABVGmG59hGgAAIAqWRymp1KsmW4lhGgAAIAqOxumeQCxdRCiAQAAauTsA4iE6eZHiAYAAKgxwnTzI0QDAADUyeIwTdOW5kKIBgAAqLPFTVsI082BEA0AANAgCNPNgxANAADQYBaH6elUVnPzhOlGQ4gGAABoUNFwUNFwUJncgqZSGc2mCdONIlDvAgAAALC6SCig/u6ohvvi6o6GZWb1LqntEaIBAACaRDgY0PruDg33xpSIhRUgTNdN1UO0mQXN7Cdm9r9XOPcxMzthZs8W//vn1a4HAACg2YWCAa3t6tBwX1w98Qhhug5qsSb6U5IOSlpzgfN/5+6/W4M6AAAAWkowYOrrjCgRC2s6ldVMKqsF93qX1RaqOhNtZkOS7pb0SDW/DwAAQDs7G6Y39cXVG48oGGBmutqqvZzjQUm/L2lhlWt+xcyeN7OvmdnwSheY2b1mtt/M9p84caIqhQIAADS7QMDU2xnRcG8hTLPMo3qqFqLN7B5JE+7+9CqXfVPSZne/UdLjkr600kXu/rC7b3f37evXr69CtQAAAK3jXJjuiysRYzePaqjmTPQtknab2VFJX5V0u5n9zeIL3P2Uu88XP/1rSe+pYj0AAABtJRiwwgOIvTG2xquwqoVod/8Ddx9y982SPiLpO+7+m4uvMbMNiz7drcIDiAAAAKigUHFrvKHemLqi9NqrhJqPopk9IGm/uz8q6d+Y2W5JOUmnJX2s1vUAAAC0i3Cw0LSlJ0YHxMtl3mTboGzfvt33799f7zIAAACaXja/oMkkYXolkVBAw32dT7v79pXO07EQAACgTZ2dmR7ui7PMo0yEaAAAgDZ3NkwP9cbV1UGYLgUhGgAAAJIKSxj610S1sTemeIQwvRpGBwAAAEt0hIIaTASVyuR1OpnRfDZf75IaDjPRAAAAWFEsEtTGnpgG1kQVDhIbF2MmGgAAAKvq7AipsyOkmXRWU3NZ5RYW6l1S3RGiAQAAUJI10bC6IiFNp7KaTmW10GRbJVcS8/IAAAAoWSBg6u2MaKjYSrxdEaIBAABQtvOtxONtuZMHIRoAAACXLBIKaDAR1RU9MXWEg/Uup2YI0QAAALhs0XBhJ4/+NtnJo/3m3gEAAFA1XR0hdUaCmknlNJXKKL/Qmg8fEqIBAABQUWamRDys7mhIk8mMZtI5eYvt5NH6c+0AAACoi0DAtLarQ0O9MXVFW2vulhANAACAqgoHA+rvjmpjb0yxSGs8fEiIBgAAQE10hILakIhpMBFVJNTcMbS15tUBAADQ8OKRkOKRkM6ks5ps0jbihGgAAADURXc0rK6OQhvxqWRztREnRAMAAKBuzEw98Yi6o2FNJjM60yQ7eTT3YhQAAAC0hGDAtO7sTh4djT/PS4gGAABAwwgHA+pfU2gjHm3gNuKEaAAAADScaDioK3piGmjQNuKNP1cOAACAttXZEVI8EtRMOqepZOO0ESdEAwAAoKGZmRKxsLqLO3lMp+q/k0fjzY0DAAAAKwgETL2dEQ31xtQdDde3lrp+dwAAAKBMoWBA67s7NNQbVzxSn4UVhGgAAAA0pUgooMFEYSePjhrv5EGIBgAAQFOLhoPa2BNTfw138uDBQgAAALSEro6QOiNBzaRymkpVdycPQjQAAABahpkpEQ+rOxrSVHEnj2q0EWc5BwAAAFpOIGDq64xouDemrmjl540J0QAAAGhZoWBA/d1RbeyNKRap3MOHhGgAAAC0vI5QUBsSMQ0mooqELj8CsyYaAAAAbSMeCSkeCelMOqvJuaxyCwuX9DqEaAAAALSd7mhYXcU24lPJ8tuIE6IBAADQlsxMPfGIuqNhTSUzmknnSt7JgzXRAAAAaGvBgGltV4eGemPq6ihtjpmZaAAAAEBSOBhQ/5qoErm8ZtO5Va8lRAMAAACLdISC6uhafTs8lnMAAAAAZSJEAwAAAGUiRAMAAABlIkQDAAAAZSJEAwAAAGUiRAMAAABlqvoWd2YWlLRf0uvufs+ycx2SvizpPZJOSfo1dz9a7ZoAAADQ2PYemtBD+47otcmkhnvjuu+2Ldqxtb/eZZ1Ti5noT0k6eIFzvyNp0t2vlvRfJP1pDeoBAABAA9t7aEL3PzqmiTNp9cTCmjiT1v2PjmnvoYl6l3ZOVUO0mQ1JulvSIxe45Jclfan48dck3WFmVs2aAAAA0Nge2ndE4aApHgnJrPBnOGh6aN+Repd2TrVnoh+U9PuSFi5wfqOk1yTJ3XOSpiWtrXJNAAAAaGCvTSYVCy/tGBgLB3VsMlmnit6qaiHazO6RNOHuT6922QrHfIXXutfM9pvZ/hMnTlSsRgAAADSe4d64Utn8kmOpbF5DvfE6VfRW1ZyJvkXSbjM7Kumrkm43s79Zds0xScOSZGYhSQlJp5e/kLs/7O7b3X37+vXrq1gyAAAA6u2+27Yom3clMzm5F/7M5l333bal3qWdU7UQ7e5/4O5D7r5Z0kckfcfdf3PZZY9K+mfFj3+1eM1bZqIBAADQPnZs7dcDu0fU3x3VdCqr/u6oHtg90lC7c1R9i7vlzOwBSfvd/VFJn5f038zsJRVmoD9S63oAAADQeHZs7W+o0LxcTUK0u++VtLf48f2LjqclfbgWNQAAAACVQsdCAAAAoEyEaAAAAKBMhGgAAACgTIRoAAAAoEyEaAAAAKBMhGgAAACgTIRoAAAAoEyEaAAAAKBMhGgAAACgTIRoAAAAoEyEaAAAAKBMhGgAAACgTIRoAAAAoEyEaAAAAKBM5u71rqEsZnZC0itlftk6SSerUA4ujDGvPca8thjv2mPMa48xrz3GvPZWG/Mr3X39SieaLkRfCjPb7+7b611HO2HMa48xry3Gu/YY89pjzGuPMa+9Sx1zlnMAAAAAZSJEAwAAAGVqlxD9cL0LaEOMee0x5rXFeNceY157jHntMea1d0lj3hZrogEAAIBKapeZaAAAAKBiWiZEm9kXzGzCzH56gfO/YWbPF/970szeUesaW83FxnzRdb9gZnkz+9Va1daqShlzM9thZs+a2ZiZfa+W9bWiEn62JMzsm2b2XHHMP17rGluJmQ2b2XfN7GBxPD+1wjVmZn9pZi8Vf6a/ux61tooSx5x7aAWVMuaLruUeeplKHe9y758ts5zDzG6TNCvpy+5+wwrn3yfpoLtPmtkvSvojd7+p1nW2kouNefGaoKTHJKUlfcHdv1bDEltOCe/zHklPSvqQu79qZv3uPlHrOltJCWP+h5IS7v5pM1sv6UVJg+6eqXGpLcHMNkja4O7PmFm3pKcl/WN3P7DomrskfVLSXZJukvQZfp5fuhLHnHtoBZUy5sXruIdWQInv8bLvny0zE+3u+ySdXuX8k+4+Wfz0KUlDNSmshV1szIs+Kel/SCLIVUAJY/5PJX3d3V8tXs+4X6YSxtwldZuZSeoqXpurRW2tyN3fdPdnih+fkXRQ0sZll/2yCr/UuLs/JamneJPEJShlzLmHVlaJ73OJe2hFlDjeZd8/WyZEl+l3JP2/ehfR6sxso6R/Iulz9a6ljVwrqdfM9prZ02b2W/UuqA18VtL1kt6Q9IKkT7n7Qn1Lag1mtlnSuyT9cNmpjZJeW/T5Ma0cQFCmVcZ8Me6hFXShMeceWh2rvMfLvn+GKl9eYzOzD6jwA+DWetfSBh6U9Gl3zxcm6VADIUnvkXSHpJikfzCzp9z9cH3Lamm7JD0r6XZJV0l6zMy+7+4z9S2ruZlZlwozcP92hbFc6QdKa6xNrKOLjPnZa7iHVtBFxpx7aIVdZLzLvn+2VYg2sxslPSLpF939VL3raQPbJX21+D//Okl3mVnO3f9XfctqaccknXT3OUlzZrZP0jskEaKr5+OS/rMXHjB5ycxelrRV0o/qW1bzMrOwCje6/+7uX1/hkmOShhd9PqTCvwTgEpUw5txDK6yEMeceWkEl/lwp6/7ZNss5zGyTpK9L+iizcrXh7m9z983uvlnS1yT9K/7nr7pvSPpHZhYys7gKD10drHNNre5VFWYuZGYDkq6TdKSuFTWx4tryz6vwENtfXOCyRyX9VnGXjpslTbv7mzUrssWUMubcQyurlDHnHlo5Jf5cKfv+2TIz0Wb2FUk7JK0zs2OS/pOksCS5++ck3S9praS/Kv5Wl3P37fWptjWUMOaosIuNubsfNLNvSXpe0oKkR9x91S0IsboS3ud/LOmLZvaCCssMPu3uJ+tUbiu4RdJHJb1gZs8Wj/2hpE3SuTH/vyrszPGSpKQK/xqAS1fKmHMPraxSxhyVc9HxvpT7Z8tscQcAAADUStss5wAAAAAqhRANAAAAlIkQDQAAAJSJEA0AAACUiRANAAAAlIkQDQAAAJSJEA0ATcrMdpvZv6t3HQDQjtgnGgBQEjMLunu+3nUAQCNgJhoAGoiZ/UczO2Rmj5nZV8zs98xsr5k9aGZPmtlPzey9xWs/ZmafXeW1Ply8/jkz21c8FjSzPzezF8zseTP7ZPH4HWb2k+LxL5hZR/H4UTO738yekPRhM7vKzL5lZk+b2ffNbGsNhgUAGk7LtP0GgGZnZtsl/Yqkd6nw8/kZSU8XT3e6+/vM7DZJX5B0Qwkveb+kXe7+upn1FI/dK+ltkt7l7jkz6zOzqKQvSrrD3Q+b2Zcl/UtJDxa/Ju3utxZr/LakT7j7z8zsJkl/Jen2y/ubA0DzYSYaABrHrZK+4e4pdz8j6ZuLzn1Fktx9n6Q1i0Lxan4g6Ytm9i8kBYvH7pT0OXfPFV/vtKTrJL3s7oeL13xJ0m2LXufvJMnMuiS9T9Lfm9mzkh6StKH8vyYAND9mogGgcdgq55Y/wHLRB1rc/RPF2eK7JT1rZu8sfo/lX7va95WkueKfAUlT7v7Oi31vAGh1zEQDQON4QtIvmVm0OOt796JzvyZJZnarpGl3n77Yi5nZVe7+Q3e/X9JJScOSRiV9wsxCxWv6JB2StNnMri5+6UclfW/567n7jKSXzezDxa81M3vHJf5dAaCpMRMNAA3C3X9sZo9Kek7SK5L2SzoblifN7ElJayT9dokv+Wdmdo0KM83fLr7uTyVdK+l5M8tK+mt3/6yZfVyFZRohST+W9LkLvOZvSPqvZvYfJIUlfbX4ugDQVtjiDgAaiJl1ufusmcUl7VPhQcC/kPR77r6/vtUBAM5iJhoAGsvDZrZNUlTSl9z9GbOLLVkGANQaM9EA0OTM7N9L+vCyw3/v7n9Sj3oAoB0QogEAAIAysTsHAAAAUCZCNAAAAFAmQjQAAABQJkI0AAAAUCZCNAAAAFCm/w+BjHQcs2nqgAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,8))\n", "sns.regplot(x='gpi_score',y='Score' ,data=Data)\n", "# there is no positive linear relationship between religion and happiness score" ] }, { "cell_type": "code", "execution_count": 182, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 182, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,8))\n", "sns.regplot(x='Pol_Rank',y='Score' ,data=Data)\n", "#there is a positive linear relationship between political stability and happiness score" ] }, { "cell_type": "code", "execution_count": 183, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 183, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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qtVlRRO6FtZb5bIlb2QJlX8F5J5V9y9tXZ0gkU7z14TSlmq//wb4Io7Eozx8fYqA7tK3/XQVoEdl1brdavdKjeiVUq6WeiNzNQq7SWUMbBHfW1aklxpIpzlxIM5tZLdHoDLqcPDJIfGSI4/t76vYYrgAtIrKs2qOaz7fUiywfTa5VahEBWMqXmFFnjR21kCty9uJNEskUl1IL1XEDfPXBXuIjUb796D7Cnlv3uShAi4jcRm1LvVusHk0eUY9qaQPnLk5y6vwE12YzHNSx2puWK5aZXiqQV2eNHVH2Le99MktiPMXPr0xRLK+WaOzfEyYei/J8bIhoT3hH56UALSKySbVHk68IeS7hgEMk6CpQS8s4d3GSl19P4rmG3ojH5EKOl19P8gooRN9GvlRmdqlIpqDOGjvh2kyGsWSK0xfSTC0WquNhz+G7jw0QH4nypQf2NKzMTgFaROQ+rATqlTZJweWSj5XSDx36Is3o1PkJPNfQEazEgI5ggEyhxKnzEwrQ6xTLPrNqSbcjlvIlzl2qlGgkP5tfc+1LB/YwGoty8rEBIsH6l2jcjQK0iMg2KpR8CqXVmkjXMYQClZKPUMBVb2ppCtdmM/RGvDVjEc/l+mzmNvfYnHYqCyn7lluZAvO5ElYt6erGt5bfXLtFYjzFm5enyNc8fg52hxiNDfFCLMoDvZEGzvLz6hagjTFHgH9XMzQMvGyt/Wc1tzHAq8DvABng96y179VrTiIiO63sWzKFEpnVVyCrvak9d7UvtdroyU462NfB5EKuugINkC2WOdDXcc+fs13KQqyt9HK+lVEv53q6MZdlbDzN2IUU6fl8dTwYcDhxeB/xWJSvPNiL06SdkOoWoK21l4CvABhjXOBT4D+tu9n3gcPLb18H/sXyexGRtrVRb2qAgOMsB2ujQ1+krl46MczLryfJFEpEPJdssUyxbHnpxPA9f852KAtZzJeYVWeNuskWy5z/4CaJ8RR/dX1uzbXj+3uIj0Q5eWSArlDzF0js1AyfBT601n68bvxvAf/aVl4b+YUxptcYs99ae2OH5iUi0jRKvk+p8Pkn7tqVaq/mVEWRe3Xy6CCvUAm912czHNiGcot6lYXsBHXWqB9rLb/9dI6xZJpzl26Srfka7+0K8sLxIUZjUR7sv/dXPxphpwL0i8CfbjD+AHCt5t/Xl8cUoEVElq30p16qGas9TXElUHuuo02LsqHb1SZv58pwPcpC6q1QqmwQXMprg+B2m5zPcfpCmrFkmk9vZavjnmt4+tA+RkeGeOKh/pbdE1L3AG2MCQJ/E/jHG13eYOxzBUfGmB8APwB44MDBbZ2fiEgrqj1NsZZjzOoq9crKtTYu7mo7VZtcj7KQeimVfWbUWWPb5Ytlfn5lmkQyxXsfz64JdEeGuomPDPG9I4P0rHulohXtxAr094H3rLXpDa5dB2oT8QHgs/U3stb+GPgxwJe++rgq+kVEbsPfoFc1rN24GAqsdgSR9rdTtcn1KAvZbuqssf2stVxMLZAYT3H20iRL+dXHnr4Oj+eODREfifLIvs4GznL77USA/jtsXL4B8Drw940xr1HZPDin+mcRke230cZFxxhCy+31VtrsaaW6/exkbfJ2l4VsF9+3zOfUWWM7TS/mObNcovHxzOrPkusYvjm8l/jIEE893E+gTcvK6hqgjTEdwPPASzVjfwBgrf0R8OdUWthdodLG7vfrOR8REVnl2+VQXVgN1es7gXhqsdfyWrE2ebsUSj7zuSKLuZKC8zYolHzempgmMZ7inY9m8Gu+pIcGOomPRHn26CC9HcHGTXKH1DVAW2szwN51Yz+q+dgCf6+ecxARkc27UycQz13XZk8t9lpCK9UmbwdrLUuFMgu54po/DuXeWGu5PLlYKdG4OMl8Td14TzjAc8eGGI0NcXiou4Gz3HnN32hPREQabqUTSO2BMEBNqFawblatUJu8HUpln/lcicVciZKvPs73azZT4CfvTzI2nmJiarUHkGPgqUf6iceifGN4767dS6EALSIi92wlWK9XG6yrq9YK1g3TrLXJ26FU9rmVLbKgjYH3rVT2+eXVGRLjKX5xdYZyTY3GQ/0djI5Eef7YIHu7Qg2cZXNQgBYRkW23UbA2xhBwDKGVFeuVw2Fco2AtW6bgvH0mbi6SSKb4yYVJbmWL1fHOkMszRweJx6IcjXbr97SGArSIiOwIay3Fsr1rsA4GHAKuwXO0eVE+r1j2uZUpsphvTHB+e2KG1965xo35LPt7Irz45EGeGu7f8Xncr/lskTcuTjKWTPFBerE6boCvPdRHfCTK04f2EvLcxk2yiSlAi4hIQ90uWEOlJVbAdfCW368Ea9ephG4F7N1hZWPgYq5EptC4w0/enpjh1bOXCTiGnnCA6aU8r569zA853BIhuuxbfvXxDInxNH/54RTF8uofIA/0RoiPDPH8sSEGe8INnGVrUIAWEZGmVfYtZb9M/jbXHWOWQ3blffX0Rddp2/6zu0muWGYhV2Ip3xxt6F575xoBxxBZXpVd6Wry2jvXmjpAfzKdIZFMceb9NNOLqzuBI57L944MMBqLMvJAj0o0tkABWkREWpZvLX7ZUtygW5nrmGpJyEqoDgW0kbHZFUo+S/kSi/nShq9KNNKN+Sw94bXRKew5pOazDZrR7S3mS5y7NEliPMWFGwtrrn3l4B7isSjfeWyg+seAbI0CtIiItKWV1evcunS9cpz5SrAOLJeE6BTGxsmXymTy5aYMzbX290SYXsqvCZ25ok+0J9LAWa3yreXXn9wiMZ7izStTFEqrX8toT5gXYpWezfv3NMd8W5kCtIiI7CrVDiEb1IWsBGnXMbimUnddWck2BBx1DNlOuWKZTKHMUpOH5lovPnmQV89eJlssE/YcckWfkm958cmDDZ3Xp7eyjCVTnE6mmVxY/cEOBxxOPDbAaGyILx/sxdHP7rZRgBYREVlWWbW+c63tysbGUGDlzd21h0lsRbHsky1Wjo7PFct3/To3o6eG+/khh3ntnWuk5rNEG9iFI1soc+6Dm4wlU/z19bk110a+0EN8JMp3HxugM6SoVw/6qoqIiGxBdWNjTWmI6xhCAbdaGhJYXrHejWUhZd9S8v3l95Z80SdXLLfMKvPdPDXc37ANg761/Pb6HIlkip99cJNccfVrOtAVqpZoHOjraMj8dhMFaBERkftU9i2ZQulzR52v9LheabtXu6nRa/EuIdba1RXlkk+5bClbq0NN6iA1n+N0MsVYMs2NuVx1PBhw+Paj+xiNDfH4g3278g+2RlGAFhERqZPVHtefv+YYs9ohZLlLSNBt7sNjCiWfbKFMplgiV/QVlusoVyzz5uUpxpIpfv3JLWq/0sf2dzMai/LMkUG6wopyjaCvuoiISAP41pIrfr5LSMBx8AKV1WqvGqrBYHBMJXjvRMi21pIv+ZW3Ynl5w1x7lGE0K2styc/mSSRTnLt0k0xh9WejvzPI88cGGR2J8vDezgbOUkABWkREpKmUfJ9SAbJssGxdw5jVQL3SOaT6sTFgVjdFlv1KecVKmYVhtePIaolJJagXy5Vgny9phXmn3FzIc+ZCmrFkimuzqz2lA47hW4f2MhqL8tQj/SrRaCIK0CIiIi3IWkvZQpmNS0TueF+47QE0sjMKJZ+/uFIp0fjVx7PUNiU5PNjFaCzKs8cG2RPxGjdJuS0FaBEREZEdYK3lUnqBxHiasxcnWcyXqtf2RDyeOzZIfCTKoYGuBs5SNkMBWkRERKSOZpYK1RKNj6Yz1XHHwDeG9xKPRfn6cH/Ld2bZTRSgRURERLZZsezzi4kZEuMpfnl1ek2JxiP7OonHhnj22BD9ncHGTVLumQK0iIiIyDb5cHKR/y+Z4o33J5nLFqvj3eEAzxyplGg8NtSlI+FbnAK0iIiIyH2YyxR542KaxHiaKzcXq+OOgSce7iceG+Jbh/bpyPc2ogAtIiIiskVl3/L21RkSyRRvfThNqaZG42BfhNFYlOePDzHQHWrgLKVeFKBFRERENumj6SUS4ynOXEgzm1kt0egMupw8Mkh8ZIjj+3tUotHmFKBFRERE7mAhV+TsxZskkikupRaq4wZ4/MFeRkeifPvRfYQ9t3GTlB2lAC0iIiKyTtm3vPfJLInxFD+/MkWxvFqisX9PmHgsyvOxIaI94QbOUhpFAVpERERk2bWZDGPJFKcvpJlaLFTHw57Ddx8bID4S5UsP7FGJxi6nAC0iIiK72lK+xLlLlRKN5Gfza659+cAeRmNRvvvYAJGgSjSkQgFaREREdh3fWn5z7RZjyTTnP7hJvuRXrw12h6olGg/0Rho4S2lWCtAiIiKya9yYyzI2nmbsQor0fL46Hgo4fOfwPuKxKF95sBdHJRpyBwrQIiIi0tayxTLnP7hJYjzFX12fW3Pt+P4e4iNRTh4ZoCukWCSbo58UERERaTvWWn776RyJ8TQ/++Am2WK5em1vV5AXjg8xGovyYH9HA2cprUoBWkRERNpGej7H6QtpxpIpPruVq457ruHpQ/uIj0T52kN9uI5KNOTeKUCLiIhs4O2JGV575xo35rPs74nw4pMHeWq4v9HTkg3ki2V+fmWKxHiK9z65ha25FvFcAq7hof4O4rEoTz2i76HcPwVoERGRdd6emOHVs5cJOIaecIDppTyvnr3MDzmsEN0krLW8f2OBRDLFTy9OslRYLdHo6/AY+cIe3k/NE/Fcwp7DXLao76FsGwVoERGRdV575xoBxxBZPpo54rlki2Vee+eawleDTS3mOXMhzVgyzSczmeq46xi+MdxPPBbl64/08z/8+98S8Vx9D6UuFKBFRETWuTGfpSe89iky7Dmk5rMNmtHuVij5vDUxTWI8xTsfzeDX1GgMD3QSj0V57tggvR3B6ri+h1JPCtAiIiLr7O+JML2Ur65eAuSKPtEeHaqxU6y1XJ5cJDGe4uzFSeZzpeq1nnCA544NMRob4vBQ94b31/dQ6kkBWkREZJ0XnzzIq2cvky2WCXsOuaJPybe8+OTBRk+t7c1mCvzk/UnGxlNMTC1Vxx0DTz1SKdH4xvBeggHnjp9H30OpJwVoERGRdZ4a7ueHHOa1d66Rms8SVReOuiqVfX55dYbEeIpfXJ2hXFOj8VB/B6MjUZ4/NsjertCmP6e+h1JPCtAiIiIbeGq4X2GrziZuLpJIpvjJhUluZYvV8c6QyzNHB4nHohyNdmPu8VhtfQ+lXhSgRUREZMfMZ4u8cXGSxHiKy5OL1XEDfO2hPuIjUZ4+tJdQTe2ySLOpa4A2xvQC/xIYASzwd621b9VcPwn8Z+Dq8tB/tNa+Us85iYiIyM4q+5Z3PpohkUzx1ofTFMurJRoH+iKMxoZ44XiUge7Nl2iINFK9V6BfBRLW2t81xgSBjQ6cf9Na+zfqPA8RERHZYZ9MZ0gkU5y5kGZ6qVAdj3gu3zsyQHwkSuwLPfdcoiHSKHUL0MaYHuAE8HsA1toCULjTfURERKS1LeZL/PTiJGPJFBduLKy59pWDvcRHonzn8L417eVEWk09V6CHgZvAnxhjvgy8C/zQWru07nbfNMb8FfAZ8A+ttcn1n8gY8wPgBwAPHFD7GRERkWbiW8uvP7lFYjzFm1emKJT86rVoT7hSohEbYv8e9WCW9lDPAB0AHgf+yFr7S2PMq8A/Av5JzW3eAx6y1i4aY34H+DPg8PpPZK39MfBjgC999XG7/rqIiIjsvE9ns4xdSHE6mWZyIV8dDwccTjw2wGhsiC8f7MVRiYa0mXoG6OvAdWvtL5f//e+pBOgqa+18zcd/boz558aYfdbaqTrOS0RERO5RplDiZ5dukkim+e2nc2uuffGBHuKxKN89MkBHUI2+pH3V7afbWpsyxlwzxhyx1l4CngUu1N7GGBMF0tZaa4x5CnCA6XrNSURERLbOt5a/vj5HYjzF+Q9ukqsp0RjoCvFCbIh4LMoDfSrRkN2h3n8e/hHwb5c7cEwAv2+M+QMAa+2PgN8F/tAYUwKywIvWWpVoiIiINIHUXI7TF1KMJdPcmMtVx4MBh28/uo94bIivPtiH66hEQ3aXugZoa+1vgCfWDf+o5vofA39czzmIiIjI5uWKZd68PEUimeLXn9xac+3Y/m7isSjfOypDfXsAACAASURBVDJIV1glGrJ76adfRERkl7PWkvxsnrFkmnOXJlkqlKvX+juDvHC80kXj4b2dDZylSPNQgBYREdmlbi7kOXMhTSKZ4vpstjruuYZvHtpLPBblyYf7VaIhso4CtIiIyC5SKPn8xZVKica7H8/i1+w8OjzYxWgsyrPHBtkT8Ro3SZEmpwAtIiLS5qy1XEovkBhPc/biJIv5UvVab8TjueODjMaiHBroauAsRVqHArSIiEibmlkqcOZCmrFkio+mM9Vxx8A3hislGl8f7sdznQbOUqT1KECLiIi0kWLZ562JaRLjKd6+OrOmROORfZ3EY0M8e2yI/s5g4yYp0uIUoEVERNrAlclFEskUb7w/yVy2WB3vDgd45ugg3x+JcniwC6NjtUXumwK0iIhIi5rLFHnjYprEeJorNxer446BJx7uJx6L8q1DewkGVKIhsp0UoEVERFpI2be8fXWGRDLFWx9OU6qp0TjYFyE+EuX540Ps6wo1cJZyr4wxOAYcY3CcyscAxZKl5Pt3vrPsGAVoERGRFnB1aomxZIozF9LMZlZLNDqDLt87Okg8FuXY/m6VaDQJYwwBxxAKOHiugxdw8FyDwVD7LTI1t3cMd/z++b6l6PsUy5Ziyafo+/g+WCzWgqXSccValv+9dly2jwK0iIhIk1rIFTl7cZJEMs2l1EJ13ACPP9hLfCTK04/uI+y5jZtkmws4DgHXEHANQdch4DoEHIOzHHRXQuoKa8F1TCUsb/MfM45jCDkuoQBwDy8w+L7FAr61FEo++ZJPYflNq9tbowAtIiLSRMq+5d2PZxlLpvj5lSmK5dV0tn9PmHgsyguxIYZ6wg2cZXtyjCHsuYQ9h1DAJRRwcNroFMaV/xcXg+c6dNaE8FLZp1D2yRd9cqUy+aKPr1Xr21KAFhERaQLXZjKMJVOcvpBmarFQHQ97Dt99bID4SJQvPbBHJRrbyHUMEc8lVBOad6vA8up6R013w3ypTK7oky9W3muVepUCtIiISIMs5Uucu3STRDJF8rP5Nde+fGAPo7Eo331sgEhw9wa77WRMJTBHPJdwcHcH5s2orMK7sHysu+9bCmWfkm8plSu12CXfp1S2lHy7q+qsFaBFRER2kG8tv7l2i8R4ijcvT5Evra7qDXaHiMeiPB8b4oHeSANn2R5cx1RLMVZKM7SCf+8cxxB2bv9Hh+9XgrRvK+/LNW++/fzHrUwBWkREZAfcmMsylkxzOpkmNZ+rjocCDt85vI94LMpXHuytbk6TrTGm0vEiFHAIeW61+4XsHMcxBLdQM75Sd72ykTFf8imWW6NMRAFaRESkTrLFMm9+UCnR+M21uTXXju/vIT4S5eSRAbpCejq+FwHHIRJ06QxVyjK0utxaNqq7XikTKZYrLfpKvk/Zrl3NbobVa/3GioiIbCNrLeOfzpNIpjh36SbZYrl6bW9XkBeODzEai/Jgf0cDZ9m6wp5LR9AlEnRVw9yGVspE7tSasVDyyRbLZAtlcsVyQ7qFKECLiIhsg8n5HKcvpBlLpvn0VrY67rmGpw/tIz4S5WsP9eG2UVu0nRIJunQEA3SFAvr6CcGAQzDgsCfiYa0lV1wO1MUyhZK/I5sZFaBFRETuUb5Y5udXpkkkU7z38Sy1T9tHhroZjQ3xzNFBepa7GDSDtydmeO2da9yYz7K/J8KLTx7kqeH+Rk/rc8KeS2coQGfQJaBaZrkNYwyR5VckVhSWa6lX3udL/rZ3CVGAFhER2QJrLe/fWGAsmeLspUmW8qslGn0dHs8dG2I0NsTwQFcDZ7mxtydmePXsZQKOoSccYHopz6tnL/NDDjc8RAcch3DQIeJVVpu10iz3amWFuvagGGst+ZJPbrmndb5Uvq9aagVoERGRTZhazHNmuUTjk5lMddx1DN8c3stobIivP9Lf1Kulr71zjcDy4SEAEc8lWyzz2jvXdjxAO8srh+HlvszBQPN+3aT1meopk2tXqnOlcnWluliymz4sRgFaRETkNgoln7/8cJqxZIp3PpqhdsHq0EAn8ZEozx4dpLe2jUATuzGfpSe89qk/7Dmk5rO3ucf2iwRdusMenUF1zZDGWlmprrWmC8gdFqgVoEVERGpYa7k8uUhiPMXZi5PM50rVaz3hQLVE4/BQdwNneW/290SYXspXV6ABckWfaE99D23xXIeuUIDucKCpV+ib3bmLk5w6P8G12QwH+zp46cQwJ48ONnpabWUzXUBAAVpERASA2UyBn7w/ydh4iomppeq4Y+CpR/qJx6J8Y3hvS5cavPjkQV49e5lssUzYc8gVK5urXnzy4Lb/txxj6Ai5dIc8HUW+Dc5dnOTl15N4rqE34jG5kOPl15O8AgrRDaAALSIiu1ap7PPLqzMkxlP84urMmk1FD/V3MDoS5fljg+ztCt3hs7SOp4b7+SGHee2da6Tms0S3uQuHMYaOoEtXKECHSjS21anzE3iuoSNYiW4dwQCZQolT5ycUoBtAAVpERHadiZuLJJIpfnJhklvZYnW8M+TyzNFB4rEoR6PdbRkAnxru3/YNg5Hl0NwZDOCoe0ZdXJvN0LuuHWLEc7k+m7nNPVpbs5erKECLiMiuMJctcvbiJInxFJcnF6vjBvjaQ33ER6I8fWgvobvUPkqF5zp0hyuHm6iuuf4O9nUwuZCrrkBD5aj4A33td6JlK5SrKECLiEjbKvuWdz6aIZFM8daH0xTLqyUaB/oijMaGeP7YEIM94QbOsnUYY+gMufSEvbtuspLt9dKJYV5+PUmmUKq2HyyWLS+dGG701LZdK5SrKECLiEjb+Xh6ibFkmjMX0kwvFarjHUGXk0cGiMeixL7Q05YlGvUQDDj0RDy6VKJRtdMlBiePDvIKlXB5fTbDgSYsa9gurVCuogAtIiJtYTFX4qeXJkkkU7x/Y2HNta8c7CU+EuU7h/etaeEmd9YZCrAnotXm9RpVYnDy6GBbBub1WqFcRQFaRERaVtm3/PqTWcaSad68MkWhtHqKWLQnzGhsiNFYlOgelWhslusYusMePerZfFutUGLQylqhXEUBWkREWs6ns1nGLqQ4nUwzuZCvjocDDiceGyA+EuVLB/bgqERj00KeS3c4QHcooNKWu2iFEoNW1grlKgrQIiLSEjKFEj/7YIrEeIrffjq35toXH+hhNBbl5JGBNS/7yp25jlk+IdBr6QNidlorlBi0umYvV9GjjIiINC3fWv76+hxjyRQ/++AmueJqicZAV4gXYkPEY1Ee6KvvUdTtpiNYOVZbh53cm1YoMZD6UoAWEZGmk5rPcTqZYiyZ5sZcrjruuYZvP7qP+EiUxx/sw1VHiE0LBhy6Qx6dIVe1zfepFUoMpL4UoEVEpCnkimXevDzFWDLFrz+5ha25dmx/N6OxKM8cGaQrrKeuzVop0egKBwgF1EljOzV7iYHUlx6FRESkYay1JD+bJ5FMce7STTKFcvVaf2eQ548NMjoS5eG9nQ2cZWtxjKEjVDlaW/XgIvWh3ywREdlxNxfynLmQJpFMcX02Wx0POIZvHdpLfCTKkw/3q0Rjk2pDc8RTXbNIvSlAi4jIjiiUfP7iyhSJZIp3P57Fr6nRODzYxWgsyrPHBtmzrj2YbEyhWaRx6hqgjTG9wL8ERgAL/F1r7Vs11w3wKvA7QAb4PWvte/Wck4iI7BxrLZfSCyTG05y9OMlivlS9tifi8dyxQeIjUQ4NdDVwlq0lvNyvuVPHaos0TL1XoF8FEtba3zXGBIH1DRK/Dxxefvs68C+W34uISAubWSpw5kKasWSKj6ZXD5dwDHxjeC/xWJSvD/fjqRvEpniuU90MqK+ZSOPVLUAbY3qAE8DvAVhrC0Bh3c3+FvCvrbUW+IUxptcYs99ae6Ne8xIRkfooln3empgmMZ7i7asza0o0HtnXSTw2xLPHhujvDDZuki2mIxhgT8QjElQHDZFmUs8V6GHgJvAnxpgvA+8CP7TWLtXc5gHgWs2/ry+PrQnQxpgfAD8AeODAwTpOWUREturK5CKJ8RQ/eT/NfG61RKM7HOCZo4N8fyTK4cEu1ehukjGV1nN7IjodUKRZ1TNAB4DHgT+y1v7SGPMq8I+Af1Jzm40eTe3nBqz9MfBjgC999fHPXRcRkZ01lynyk4tpxsbTXLm5WB13DDzxcD/xWJRvHdqrALgFrmPoCXv0RDx1HxFpcvUM0NeB69baXy7/+99TCdDrb1O7pHwA+KyOcxIRkXtU9i1vX50hkUzx1ofTlGpqNA72RYiPRHnu2BAD3aEGzrL1rGwK7AoFtEov0iLqFqCttSljzDVjzBFr7SXgWeDCupu9Dvx9Y8xrVDYPzqn+WUSkuXw0vURiPMWZC2lmM8XqeGfQ5XtHBxmNDXF8f4/C3xasnBDYHVaZhkgrqncXjj8C/u1yB44J4PeNMX8AYK39EfDnVFrYXaHSxu736zwfERHZhIVckbMXb5JIpriUWqiOG+DxB3uJj0R5+tF9hD1tbtuKjmCA7nCAjqD6Nou0sroGaGvtb4An1g3/qOa6Bf5ePecgIiKbU/Yt730yS2I8xc+vTFEsr5ZofKE3zGgsygvHhxjqCTdwlq3Hc51qiUZALehE2oJOIhQR2eWuzWQYS6Y4fSHN1OJqt9Gw53DysUHiI0N88YE9WjHdAmMMnSGXnrCnVXqRNqQALSKyCy3lS5y7VCnRSH42v+balw/sIT4S5cThAfUf3qJgwKEn4tGlUwJF2poCtIjILuFby2+u3SIxnuLNy1PkS3712mB3iHgsyvOxIR7ojTRwlq1Hq80i2+/cxUlOnZ/g2myGg30dvHRimJNHBxs9rSoFaBGRNndjLsvYeJqxCynS8/nqeCjg8J3D+4jHonzlwV4clWhsiec69IQ9usPNtdrc7MFD5G7OXZzk5deTeK6hN+IxuZDj5deTvAJN87OsAC0i0oayxTLnP7jJWDLFb67Nrbl2fH8P8ZEoJ48M0BXS08BWGGPoDLp0h5vzeO1WCB4id3Pq/ASea+gIVh6fOoIBMoUSp85PNM3PsR45RUTahLWW3346x1gyzblLN8kWy9Vre7uCvHB8iNFYlAf7Oxo4y9YUcCqdNLrDzd1JoxWCh8jdXJvN0Bvx1oxFPJfrs5kGzejzFKBFRFpcej7H6QtpxpIpPruVq457ruHpQ/uIj0T52kN9Oh76HkSCldrmzhZZqW+F4CFyNwf7OphcyFX/EITKq2oH+prnj/9NPyIYY74NHLbW/okxZgDostZerd/URETkdvLFMj+/MkViPMV7n9zC1lw7MtRNfGSI7x0ZpGddmJK7c4xZXm1uvVMCWyF4iNzNSyeGefn1JJlCiYjnki2WKZYtL50YbvTUqjYVoI0x/xOVA1GOAH8CeMD/CTxdv6mJiEgtay3v31ggkUzx04uTLBVWSzT6OjyeOzZEfCTKI/s6GzjL1tUOLehaIXiI3M3Jo4O8QqUk6fpshgNNuBl2syvQ/wXwVeA9AGvtZ8aY7rrNSkREqqYW85y5kGYsmeaTmdWX4l3H8M3hvcRHhnjq4f6mrs1tViubAnsi7dGCrhWCh8hmnDw62NQ/t5sN0AVrrTXGWABjjJY3RETqqFDyeWtimsR4inc+msGvqdE4NNBJfCTKs0cH6e0INm6SLcx1DN1hj54m3xR4L5o9eIi0g80G6P/bGHMK6DXG/LfA3wX+9/pNS0Rk97HWcnlykcR4irMXJ5nPlarXesKBaonGo4NdDZxla1sp0+gOBXQ0uYjcs00FaGvtPzXGPA/MU6mDftlae6auMxMR2SVmMwV+8v4kY+MpJqaWquOOgace6Scei/KN4b0tt6GtmXSGAuxpkzINEWm8uwZoY4wLjFlrnwMUmkVEtkGp7PPLqzMkxlP84uoM5ZoajYf6OxgdifL8sUH2doUaOMvWttJNoyfi4bVZmYaINNZdA7S1tmyMyRhj9lhr5+52exERub2Jm4skkil+cmGSW9lidbwz5PLM0UHisShHo90qL7gPnrtaptGq3TREpLlttgY6B/zWGHMGqL6+aK39B3WZlYhIG5nPFjl7cZJEMsUH6cXquAG+9lAf8ZEoTx/aS0jlBfclEnTZE/HW9ECW5nLu4iSnzk9wbTbDQXUIkRa22UeZ/3f5TURENqHsW975aIaxZJq//HCKYnm1RONAX4TR2BAvHI8y0K0SjfvhOoauUGseerLbnLs4ycuvJ/FcQ2/EY3Ihx8uvJ3kFFKKl5Wx2E+G/MsYEgceWhy5Za4t3uo+IyG70yXSGRDLFmQtpppcK1fGOoMvJxwaIj0SJfaFHJRr3KeS59IQDdKmbRss4dX4CzzXVVwg6ggEyhRKnzk8oQEvL2exJhCeBfwV8ROVVx4PGmP/GWnu+flMTEWkNi/kSP10u0Xj/xsKaa199sJfRWJTvHN5HRCUa98UYQ2fIpSesbhqt6Npsht51R8tHPJfrs5nb3EOkeW22hON/BV6w1l4CMMY8Bvwp8LV6TUxEpJmVfcuvP5llLJnmzStTFEp+9Vq0J8xobIjRWJTonnADZ9keXMfQE/bobsNDT3aTg30dTC7k1tSoZ4tlDvR1NHBWIvdmswHaWwnPANbaD4wx3p3uICLSjj6dzTJ2IcXpZJrJhXx1PBxwOLFcovGlA3twVFZw3zzXYU+HDj1pFy+dGObl15NkCiUinku2WKZYtrx0YrjRUxPZss0G6F8ZY/4P4N8s//u/At6tz5RERJpLplDiZx9MkRhP8dtP13bz/OIDPcRjUb57ZEDdH7ZJRzBATySgr2ebOXl0kFeo1EJfn81wQF04pIVt9tHpD4G/B/wDKjXQ54F/Xq9JiYg0mm8tv70+RyKZ4mcf3CRXXC3RGOgK8UJsiNHYkF5+3iauY+heLtPQoSft6+TRwboFZrXIk5202QAdAF611v5vUD2dUL2XRKTtpOZynL6QYiyZ5sZcrjruuYbvHB5gNDbE4w/24eqAjm0RCbp0hz06g67KNOSeqUWe7LTNBug3gOeAlRMAIsBp4Fv1mJSIyE7KFcu8eXmKRDLFrz+5teba0Wg38ZEozxwZpCuskoLtYEyld/OeiHo3y/ZQizzZaZt9Nghba6vHZ1lrF40xet1SRFqWtZbkZ/MkkinOXbpJplCuXuvvDPL8sUFGR6I8vLezgbNsLyvdNHoinlbwZVupRZ7stM0G6CVjzOPW2vcAjDFPANn6TUtEpD5uLuQ5cyFNIpni+uzqw1jAMXzr0b3EY1GefLhfAW8bea5DT8SjJ6xuGlIfapEnO22zAfq/A/4fY8xngAW+APztus1KRGQbFUo+f3GlUqLx7sez+KunanN4sKtSonF0kD0RdefcTmHPpSfi0RVS6YvUl1rkyU6746OaMeZJ4Jq19h1jzFHgJeC/BBLA1R2Yn4jIPbHWcim9QGI8zdmLkyzmS9VrvRGP544PMhqLcmigq4GzbD+OMXSFA/SEVd8sO0ct8mSn3W1Z4BSVzYMA3wT+R+CPgK8APwZ+t35TExHZupmlAmcupBlLpvhoerX+0THwjeFKicbXh/vVKm2bBQOVMo2uYABH5S/SAPVskSey3t0CtGutnVn++G8DP7bW/gfgPxhjflPfqYmIbE6x7PPWxDRj42l+eXV6TYnGI/s6iceGePbYEP2dwcZNsk0FAw57O0NEgm6jpyIismPuGqCNMQFrbQl4FvjBFu4rIlJXVyYXSSRTvPH+JHPZYnW8OxzgmaODfH8kyuHBLm1cqwPXMfR1BukJq25cRHafu4XgPwV+ZoyZotJ1400AY8yjwNyd7igiUg9zmSJvXEyTGE9z5Wa1uyaOgSce7icei/KtQ3tVf1snxhj2RDx6I55KNURk17pjgLbW/i/GmDeA/cBpa+3KC6MOlVpoEZG6K/uWt6/OkEimeOvDaUo1NRoH+yLER6I8f3yIfV06ILWeukIB+jqDqh8XkV3vrmUY1tpfbDD2QX2mIyKy6urUEmPJFGcupJnNrJZodAZdvnd0kHgsyrH93SrRqCN11RAR+TzVMYtIU1nIFTl78SaJZIpLqYXquAEef7CX+EiUbz+6j5CnTWv1FAw4dIc9ukPqqiEisp4CtIg0XNm3vPvxLGPJFD+/MkWxvFqi8YXeMKOxKC8cH2KoJ9zAWe4OXaEAPRGPsP5AERG5LQVoEWmYazMZxpIpTl9IM7VYqI6HPYeTjw0SHxniiw/sUYnGDugKBejtCKpMQ0RkExSgRWRHLeVLnLtUKdFIfja/5tqXD+whPhLlxOEB9RXeIZ2hAL0dHqGAvt4iIpulAC0idedby2+u3SIxnuLNy1PkS3712mB3iNHYEC/EojzQG2ngLHeXSNClryOoUg0RkXtQ1wBtjPkIWADKQMla+8S66yeB/wxcXR76j9baV+o5JxHZOTfmsoyNpxm7kCI9n6+OhwIO3zm8j3gsylce7MVRicaOUXAWEbl/O7EC/T1r7dQdrr9prf0bOzAPEdkB2WKZ8x/cJDGe4q+urz1vKfaFHkZjUU4eGaArpBfAdlJnKMAebQ4UEdkWegYTkftmreW3n86RGE/zsw9uki2Wq9f2dgUZPV4p0Xiwv6OBs9ydukIB9qjGWURkW9U7QFvgtDHGAqestT/e4DbfNMb8FfAZ8A+ttck6z0lEtsnkfI7TF9KMJdN8eitbHfdcw7cf3cdoLMrXHurDVR/hHdcVDtDXoVMDRUTqod4B+mlr7WfGmEHgjDHmorX2fM3194CHrLWLxpjfAf4MOLz+kxhjfgD8AOCBAwfrPGURuZN8sczPr0yRSKZ57+NZbM21I0PdxEeGeOboIN1hr2Fz3M3Ujk5EpP6Mtfbut9qO/5Ax/zOwaK39p3e4zUfAE3eqmf7SVx+3f3b6/O0ui0gdWGt5/8YCiWSKn16cZKmwWqLR1+Hx3LEh4iNRHtnX2cBZ7m4dwQB9nSrVEBHZTsaYd9c3wYA6rkAbYzoBx1q7sPzxC8Ar624TBdLWWmuMeQpwgOl6zUlEtmZqMc+Z5RKNT2Yy1XHXMXxzeC/xkSGeerifgMoEGibsufR3qquGiMhOqmcJxxDwn5ZPEAsA/5e1NmGM+QMAa+2PgN8F/tAYUwKywIt2p5bERWRDhZLPX344TSKZ4lcfzeDX/EYOD3QSj0V57tggvR3Bxk1S6AwF6Al7OnBGRKQB6hagrbUTwJc3GP9Rzcd/DPxxveYgIptjreXy5CKJ8RRnL04ynytVr/WEAzx7bIh4bIjDQ90NnKW4jqE77NEdDmhzoIhIA6mNncguNpsp8JP3JxkbTzExtVQddww89Ug/8ViUbwzv1Ya0BgsGHHoiHt2hAEaHzoiINJwCtMguUyr7/GJihrFkil9cnaFcU6PxUH8HoyNRnj82yN6uUANnKQAhz6Wvw6MjqIdqEZFmokdlkV3iw5uVEo033p/kVrZYHe8KBXjm6CCjsSGORru1wtkEFJxFRJqbHp1F2th8tsgbFydJjKe4PLlYHTfAEw/3MRqL8u1H96lEo0koOIuItAY9Sou0mbJveeejGRLJFG99OE2xvFqicaAvwmhsiBeORxnoVolGo7w9McNr71zjxnyW/T0R/utvPkT8i1EFZxGRFqFHa5E28fH0EmPJNGcupJleKlTHI57L944MEB+JEvtCj0o0GuztiRlePXuZgGPojXjM5Qr8szcu098Z5OTRwUZPT0RENkEBWqSFLeZK/PTSJIlkivdvLKy59pWDvcRHonzn8D4iOmSjabz2q2sEA061o0Yw4JIplDh1fkIBWkSkRShAi7SYsm9575NZxpJpfn5likLJr16L9oQrJRqxIfbviTRwlrKe6xh6wh43F3L0dQTXvBIQ8Vyuz2bucG8REWkmCtAiLeLT2SyJZIrTyTQ3F/PV8XDA4cRjA4zGhvjywV4clWg0Fc9d7eHsOIYH+zuZXMitqXfOFssc6Oto4CxFRGQrFKBFmlimUOJnl26SSKb47afza6598YEeRmNRvvvYAJ0h/So3m2DAYU/Eo2vd4ScvnRjm5deTZAolIp5LtlimWLa8dGK4gbMVEZGt0LOuSJPxreWvr8+RGE9x/oOb5GpKNAa6QrwQG2I0NqQVyyYV9lx679CK7uTRQV4BTp2f4PpshgN9Hbx0Ylj1zyIiLUQBWqRJpOZyjCVTnL6Q5sZcrjoeDDg8fWgv8ZEojz/Yh+uoRKMZbaWH88mjgwrMIiItTAFapIFyxTLnL0+RGE/xm2u31lw7tr+beCzK944M0hXWr2qz8lyH/s6gymikaZy7OMmp8xNcm81wUK9wiNSFHvFFdpi1luRn8yTGU5z74CaZQrl6rb8zyAvHKyUaD+3tbOAs5W4816G3w6M77DV6KiJV5y5O8vLrSTy30md8ciHHy68neQUUokW2kQK0yA65uZDn9IUUY8k012ez1XHPNXzz0F7isShPPtyvEo0mF3Aceju9ah9nkWZy6vwEnmuqpUQdwYD6jIvUgQK0SB0VSj5/cWWKRDLFux/P4q+eqs3hwS7iI1GeOTrInohWMZudYwy9HR57Ip6CszSta7MZetc9nqjPuMj2U4AW2WbWWi6lF0iMpzl7cZLFfKl6bU/E47ljg8RHohwa6GrgLGWzjDH0hAP0dgT16oA0vYN9HeozLrIDFKBFtsnMUoEzF9KMJVN8NL262uMY+MZwpUTj68P9eK7TwFnKVnSFAvR1BvU9k5ahPuMiO0MBWuQ+FMs+b01MkxhP8fbVmTUlGo/s6yQeG+LZY0P0dwYbN0nZskjQpb8zSCjgNnoqIluiPuMiO0MBWuQeXJlcJDGe4ifvp5nPrZZodIcDPHN0kHgsymNDXaqVbTEhz6W/I0gkqOAsrUt9xkXqTwFaZJPmMkXeuJgmMZ7mys3F6rhj4ImH+4nHonzr0F6CAb3c32o816GvM0iXejmLiMgm6NlC5A5KZZ+3P5phLJnmrQ+nKdXUaBzoixCPRXn+c1tn4gAAH9VJREFU+BAD3aEGzlLuVcBx2NPh0RNWSzoREdk8BWiRDVydWqqWaMxmitXxzuD/397dR8d113ce/3zvzJ1HaTQjydI4fojt2IljiZAEx5DNA45DLEFZAmV7Glq2hMNuKAcou5TDku05sCf9o93tOQvsbndDYKFAS0PLga6hreQkjmNCExLn2eOH2HGcxNgj2Zafbdl6+O0fcy3LiiVrZI1GM/N+nTPHo9+dufO7o59HH1197+8X0h3LW9TR1qoVc1OErgrlhwrBmbmcAQBTQYAGAsf7B7Rhe6+6cj3akT8+0m6SblyYVmd7VrcsbVbMpz62UrF6IABgOhCgUdOGhp2ee+OwunN5PbnroAaGzpdoXJGOqaMtq7UrWtWaipWxl7hcUT+kdNxXkhpnAMA04KcJatJbfafUnctr/dYeHTxxdqQ95ntafXWLOttb9Y55Dfx5v4J5ZqqLhVUfCzMdHQBgWhGgUTNOnhnUxh0H1JXLK7fv2AXb3jm/QZ3tWd2+bA5TmFW4qB9SKhZWHfXNAIASIUCjqg07pxffOqKuLXn9cudBnRkcHtnWUh8tzKLR1qp56XgZe4npUBcLqyHuc7YZAFByBGhUpX1HTmt9rkfdW/PqOXZmpD0a9nTbsmZ1tmV1/cK0PM5QVrxEJKxMkuAMAJg5BGhUjdNnh7Rp5wF1bcnrpb1HL9i2Ym5Kne1Zrb5mDotlVAlWDQQAlAtJAhXNOaeXf3NU3Vt69MSrB3R6YGhkW1NdRGtXtKqjLauFjYky9hLTiVUDAQDlxk8gVKSeY/1av7VH3bm89h3pH2n3Q6Zblzaroy2rd12ZUcijRKNahD1P6SSLnwAAyo8AjYpxZmBIT+46qK4teT3/5hG5Uduuydars61Va5a3sEhGlQl5pnQ8olSc4AwAmB0I0JjVnHPatv+4unJ5Pb69VyfPni/RyCR8ve/aVnW2Z7W4OVnGXqIUPDM1xH01xH15/CUBADCLEKAxKx08cUaPbO1Rd65Hb/adGmkPeaablzSps71VqxY1KhzyythLlIJnpvpYWOlEhBIcAMCsRIDGrHF2cFj/8tohdefyenZPn4ZH1WhcNSepzvas7lzeonQiUr5OomRCnikV85WK+wRnAMCsRoBGWTnntLP3hLq25LVhe6+O9Q+ObEvFwiMlGktb6srYS5RSyCuUaqRilGoAACoDARplcfjUWT26rVfdW/LaffDkSLtn0qrFjepsy+o9S5oUCVOiUa3CnqeGhK9UjIsDAQCVhQCNGTM4NKynd/epO5fX06/3aWhUjcaVjQl1tGd117UtaqqLlrGXKLWQZ0onIgRnAEDFIkCj5F47UCjReGxbr46cHhhpT0ZDWrO8RZ1tWS3P1hOmqpxnpnSCUg0AQOUraYA2sz2SjksakjTonFs5ZrtJ+qakD0g6Jele59zzpewTZsbR0wN6bFuvunN57ew9MdJuklYuyqijLatblzZTolEDPDOl4r7STEcHAKgSM3EG+g7n3MFxtr1f0rLg9m5J/yf4FxVoaNjp2T196srl9dRrhzQwdL5EY34mrs62rO5a0ao59ZRo1AILpqPLMB0dAKDKlLuE425JP3DOOUlPm1nazOY65/aXuV8owpuHTqkrl9cjW3t06OTZkfZEJKTVV89RZ3tWbVekKNGoIXVBcPaZpxsAUIVKHaCdpPVm5iR9yzn30Jjt8yS9NerrvUEbAXqWO9E/qMd39Korl9e2/ccv2HbDwrQ62rK6bVmz4n6oTD1EOdRFCwugUJoDAKhmpQ7Qtzjn9plZi6RHzGy7c27TqO0XOyXpxjaY2X2S7pOkefMXlKanuKShYacX3jysrlyPntx1UGcHh0e2ZVMxdbS1qqMtq2xDrIy9RDkkImFlkr6iYX5hAgBUv5IGaOfcvuDfXjP7maRVkkYH6L2SRifi+ZL2XWQ/D0l6SJKuu+HGtwVslNZvDp8eKdHoPX5mpD0W9nR7UKJx3fwGeZRo1Bw/5Km5Lqp4hOAMAKgdJQvQZpaU5Dnnjgf310p6YMzD1kn6nJk9rMLFg0epf54dTp0d1BM7Dqgrl9crvzl2wbZ3zEupsy2r914zR4lIucvoUQ7M5QwAqGWlTD+tkn4W/HANS/qRc67LzP5QkpxzD0r6JxWmsNulwjR2nyxhf3AJw87p5b1H1Z3L64lXD6h/4HyJxpy6qNa2taqjrVXzM4ky9hLlxMwaAACUMEA753ZLeudF2h8cdd9J+myp+oDJyR/t1/qteXXnerT/aP9IeyTs6dalzepsa9UNCzMEphoXj4TUlIxygSAAoObx9/ca1T8wpE07D6o7l9cLbx65YNuKufXqaMvqjmtaVBdjiNS6SNhTU5I6ZwAAziEd1RDnnHL7jqlrS14bXz2gU2eHRrY1JiNau6JQonFlU7KMvcRs4Yc8pRO+6mN+ubsCAMCsQoCuAQeOnxkp0dh7+PRIux8y3XxVkzrbsrppUSMlGpAUXCAYjygV5wJBAAAuhgBdpc4ODutXuw6qK5fXc28c1vCoyf+WtdSpsz2rNctb1BDn7CIKzEypWGEhFH6ZAgBgfAToKuKc046e4+ra0qMN23t14szgyLZ03Nf7VrSooy2rq+bUlbGXmI3qYmE1JiIKs/Q2AACXRICuAn0nz+qRrT3qzuW159CpkfaQZ3rP4kZ1tGX17iWN8glHGIMVBAEAKB4BukINDA3rqd2H1LUlr2de77ugRGNxc1Kdba1634pWZRKR8nUSsxYzawAAMHUE6Aqzq/eEurbk9ei2Hh3rP1+iUR8La83yFr2/PatlLXVc/IWL8kOeMsmI6qL81wcAYKr4KVoBjp4a0KPbe9S1Ja/XDpwcafdMWrmoUZ1tWf2rq5pY4ALjYmYNAACmDwF6lhocGtYze/rUtaVHT+8+pMFRNRoLMnF1tmd114pWNddFy9hLzHZmpoa4r3Tcl8fMGgAATAsC9Czz+sGTIyUah08NjLQnIyGtWV6YRePaufWcRcQl1cd8ZRI+M2sAADDNCNCzwPH+AW3Y3quuXI925I+PtJukG6/MqLOtVbcubVbU54IvXFoyGlYmEaGkBwCAEiFAl8nQsNNzbxxWdy6vJ3cd1MDQ+RKNK9IxdbRltXZFq1pTsTL2EpUkHgkpk4goxi9aAACUFAF6hr3Zd0rdubzWb+3RoRNnR9pjvqfVV7eos71V75jXQIkGJi0S9tSYjCgR4b8zAAAzgZ+4M+DkmUE9vuOAurbktXX/sQu2vXN+gzrbs7p92Rzm5EVRmJIOAIDy4CdviQw7pxffPKKuXF6/3HlQZwaHR7a1pqLqWJHVXW2tmpeOl7GXqER+yFM64as+5pe7KwAA1CQC9DTbd+S0unN5ded61Hv8zEh7NOzptmXN6mzL6vqFaXmUaKBIBGcAAGYHAvQ0OH12SE+8ekDdubxe2nv0gm1tV6TU0ZbV6mvm8Kd2TMm54FwXZREUAABmAxLdFDnn9MpvjqprS482vtqr/oHzJRpNdRGtXdGqjrasFjYmythLVDLOOAMAMDsRoIvUc6xf67f2qDuX174j/SPtfsh0y1XN6mzP6l1XZhRi1TdMUSTsKZ3g4kCgEm3c3qtvbdqttw6f0oJMQp++fYlWL28pd7cATDN+Qk/CmYEhPbnroLq25PX8m0fkRm27prVene2tuuOaFqXinCnE1EX9kDIJn+nogAq1cXuvvrouJz9kSsd99R7v11fX5fSARIgGqgw/qcfhnNO2/cfVlcvr8e29Onl2aGRbJuHrfde2qrM9q8XNyTL2EtUgHgkpHY8wjSFQ4b61abf8kI38EpyIhHXq7KC+tWk3ARqoMgToMQ6eOKNHtvaoO9ejN/tOjbSHPNPNS5rU2d6qVYsaFQ6xTDIuT100rIaEr2iY4AxUg7cOn1J6zF8i435Iew+fGucZACoVAVrS2cFh/ctrh9SVy2vznj4Nj6rRuGpOUp3tWd25vEXpRKR8nURVMDPVx8JqiPvy+SUMqCoLMgn1Hu+/oAzr9MCQ5me4mByoNjUboJ1z2tl7Ql1b8tqwvVfH+gdHtqVi4ZESjaUtdWXsJaqFZ6ZU3FdD3OcCU6BKffr2JfrqupxOnR1U3A/p9MCQBoacPn37knJ3DcA0q7kAffjUWT26rVfdW/LaffDkSLtn0qrFjepsz+rmJU2cHcS0IDgDtWP18hY9oEIt9N7DpzSfWTiAqlUTAXpwaFhP7+5Tdy6vp1/v09CoGo0rGxPqaM9q7YpWNSYp0cD0IDgDtWn18hYCM1ADqjpAv3agUKLx2LZeHTk9MNJeFw1rzfIWdba36prWelZ3w7QhOAMAUP2qLkAfPT2gx7b1qjuX187eEyPtJmnloow627K6ZWmzImFKNDB9Qp4pFSsEZ4/gDABAVauKAD007PTsnj515fJ66rVDGhg6X6IxPxNXZ1tWd61o1Zz6aBl7iWoU8kzpeET1sTDBGQCAGlHRAfqNQyfVnevRI1t7dOjk2ZH2RCSk1dfMUWdbVm1XpCjRwLQLe54aEr5SsTDjCwCAGlNxAXp42OnnL+1TVy6vbfuPX7Dt+gVpdbZndduyZsV9FqfA9Dt3xjkVJzgDAFCrKi5A7+o9oa8/unPk62wqpo62VnW0ZZVtiJWxZ6hmZqaGuK80Nc4AANS8igvQTlIs7Om918xRR1tW181vkMeZQJRQfcxXJuGzfDsAAJBUgQE6m4rpJ5+5+YKlUoFSSEbDyiQizNgCAAAuUHEptCHhE55RMmamumhYDXGf4AwAAC6KJAqosABKfawQnCnVAAAAEyFAo6aFvMLFgfUxVg4EAACTQ4BGTToXnFMxZtUAAADFIUCjpnjBdHQsuQ0AAKaq5MWeZhYysxfM7BcX2XavmR0wsxeD278rdX9QmzwzZRIRLWxMKJOMEJ4BAMCUzcQZ6C9I2iYpNc72HzvnPjcD/UANOnfGORWnxhkAAEyPkp6BNrP5kn5L0ndK+TrAWCHP1Jg8f8aZ8AwAAKZLqUs4viHpy5KGJ3jMR83sZTP7iZktKHF/UOXCnqemZFQLMgmlE5RqAACA6VeyAG1mH5TU65x7boKH/VzSIufcdZIelfT9cfZ1n5ltNrPNfQcPlqC3qHRhz1NTXVQLGuNqSHCBIAAAKB1zzpVmx2Z/JunfShqUFFOhBvqnzrmPj/P4kKQ+51zDRPu97oYb3T+s3zTd3UWF8kOeGhK+6qNhmRGaAQDA9DGz55xzK8e2l+wMtHPufufcfOfcIkn3SNowNjyb2dxRX35IhYsNgUvyQ57m1Ec1PxNXKuYTngEAwIyZ8XmgzewBSZudc+sk/ZGZfUiFs9R9ku6d6f6gsvghT5lkRHVRpjAHAADlUbISjlKhhKM2hT1P6WRh5UAAAICZMF4JB6fxMKt5ZkonCisHUqYBAABmAwI0ZiUzUyoWVjrBHM4AAGB2IUBj1qmLhpVJRuSHSr7SPAAAQNEI0Jg1Yn5IjcmIYn6o3F0BAAAYFwEaZeeHPDUmI0oyswYAAKgAJBaUTcgzpeMRpeIsggIAACoHARozzjNTKl6YWYMLBAEAQKUhQGPGeGZqiPtKEZwBAEAFI0Cj5M4F54a4L4/gDAAAKhwBGiUT8kypGMEZAABUFwI0pl3IC0o1YgRnAABQfQjQmDZhzwtqnJlVAwAAVC8CNC5b2PPUkPCVihGcAQBA9SNAY8r8UCE410cJzgAAoHYQoFE0P+QpnfBVR3AGAAA1iACNSYuEPaUTEdWx5DYAAKhhJCFcUiTsKZOIKElwBgAAIEBjfFE/pEzCVyLCMAEAADiHZIS3ifkhZRIRxSOhcncFAABg1iFAY0Q8UgjOMZ/gDAAAMB4CNJSIhJVO+ARnAACASSBA17BktBCco2GCMwAAwGQRoGtQXTSsBoIzAADAlBCga0hdNKx0IqJI2Ct3VwAAACoWAboGUKoBAAAwfQjQVYzgDAAAMP0I0FWI6egAAABKhwBdRaJ+SI0sgAIAAFBSBOgq4Ic8ZZIR1UX5dgIAAJQaiauChT1P6aSv+mhYZlbu7gAAANQEAnSFaoj7yiQi8jyCMwAAwEwiQFeYmB9SU12EmTUAAADKhABdIUKeqTEZUX3ML3dXAAAAahoBugKk4r4aKdcAAACYFQjQs1jUD6mZcg0AAIBZhQA9C3lmyiQjaohTrgEAADDbEKBnmbpoWI3JiMIhr9xdAQAAwEUQoGcJP+SpqS6iRIRvCQAAwGxGWiszMwvmdPZZDAUAAKACEKAn6ZndfXr42be0/9hpzU3Fdc9NC7RqSeNl7TPmh9RcF1UkTLkGAABApSh5cjOzkJm9YGa/uMi2qJn92Mx2mdmvzWxRqfszFc/s7tM3N+zUoZNnlIqFdejkGX1zw049s7tvSvsLeabm+qiuSMcJzwAAABVmJtLbFyRtG2fbpyQdds4tlfR1Sf91BvpTtIeffUthzxT3QzIV/g17poeffavofdXFwpqfSSjFgigAAAAVqaQB2szmS/otSd8Z5yF3S/p+cP8nku60WVgIvP/YacX8C9+qmO8pf+z0pPcR80O6Ih1XS31MIRZEAQAAqFilPgP9DUlfljQ8zvZ5kt6SJOfcoKSjkppK3KeizU3F1T9w4SH0Dwwrm4pf8rlRP6S5DXFdkY4r5rMgCgAAQKUrWYA2sw9K6nXOPTfRwy7S5i6yr/vMbLOZbe47eHDa+jhZ99y0QIPDTqcHhuRU+Hdw2OmemxaM+5xI2FO2IaZ56bjiEYIzAABAtSjlGehbJH3IzPZIeljSGjP76zGP2StpgSSZWVhSg6S3XZnnnHvIObfSObeysbm5hF2+uFVLGvWFNcvUlIzqeP+gmpJRfWHNsovOwuGHPLWkYpqfSTCnMwAAQBUqWcJzzt0v6X5JMrPVkr7knPv4mIetk/QJSU9J+jeSNjjn3nYGejZYtaRxwmnrwp6ndNLn4kAAAIAqN+OnSM3sAUmbnXPrJP1fST80s10qnHm+Z6b7c7k8M6UTvhriLIQCAABQC2YkQDvnNkraGNz/6qj2fkm/MxN9mG5mplQsrHQiwqwaAAAANYQi3Smoi4aVSUbkh1gEBQAAoNYQoIsQCXtqrosyHR0AAEANI0BPQsgzZZIRLhAEAAAAAXoiZqb6WFiNiYg86pwBAAAgAvS44pGQmpJRRcLUOQMAAOA8AvQYfshTYzKiZJS3BgAAAG9HSgyYmTLM5wwAAIBLIECrMC1dYzKiMNPSAQAA4BJqOkAzLR0AAACKVZMBmmnpAAAAMFU1FaDPLb+dYVo6AAAATFHNBOhEpFDnzLR0AAAAuBxVH6D9kKemuogSkao/VAAAAMyAqk2VnpnSTEsHAACAaVaVAbouWH6baekAAAAw3aoqQEf9kJqSEaalAwAAQMlURYAOe54ySV/1TEsHAACAEqvoAG1maoj7Ssd9pqUDAADAjKjYAJ0Mlt/2qXMGAADADKq4AO2ZaW5DXPEIdc4AAACYeRV3+jbsGeEZAAAAZVNxARoAAAAoJwI0AAAAUAQCNAAAAFAEAjQAAABQBAI0AAAAUAQCNAAAAFAEAjQAAABQBAI0AAAAUAQCNAAAAFAEAjQAAABQBAI0AAAAUAQCNAAAAFAEAjQAAABQBAI0AAAAUAQCNAAAAFAEAjQAAABQBAI0AAAAUAQCNAAAAFAEAjQAAABQBHPOlbsPRTGzA5LeKHc/itQs6WC5O4GyYgyAMQDGABgDledK59ycsY0VF6ArkZltds6tLHc/UD6MATAGwBgAY6B6UMIBAAAAFIEADQAAABSBAD0zHip3B1B2jAEwBsAYAGOgSlADDQAAABSBM9AAAABAEQjQl8HMOs1sh5ntMrOvXGT7QjN73MxeMLOXzewDo7bdHzxvh5l1zGzPMV2mOgbMbJGZnTazF4PbgzPfe0yHSYyBK83sseD7v9HM5o/a9gkz2xncPjGzPcd0ucwxMDTqc2DdzPYc08XMvmtmvWa2ZZztZmb/IxgjL5vZjaO28TlQiZxz3KZwkxSS9JqkJZIikl6StGLMYx6S9Jng/gpJe0bdf0lSVNLiYD+hch8TtxkdA4skbSn3MXCbkTHw95I+EdxfI+mHwf1GSbuDfzPB/Uy5j4nbzI2B4OsT5T4GbtMyDm6XdON4n+uSPiDpnyWZpPdI+nXQzudAhd44Az11qyTtcs7tds6dlfSwpLvHPMZJSgX3GyTtC+7fLelh59wZ59zrknYF+0NluZwxgOowmTGwQtJjwf3HR23vkPSIc67POXdY0iOSOmegz5helzMGUCWcc5sk9U3wkLsl/cAVPC0pbWZzxedAxSJAT908SW+N+npv0Dbaf5H0cTPbK+mfJH2+iOdi9rucMSBJi4PSjifM7LaS9hSlMpkx8JKkjwb3PyKp3syaJvlczH6XMwYkKWZmm83saTP7cGm7ijIab5zwOVChCNBTZxdpGzulycck/ZVzbr4Kf775oZl5k3wuZr/LGQP7JS10zt0g6YuSfmRmKaHSTGYMfEnSe83sBUnvlfQbSYOTfC5mv8sZA1Lhc2ClpN+T9A0zu6pkPUU5jTdO+ByoUAToqdsracGor+fr7X+e/5Skv5Mk59xTkmKSmif5XMx+Ux4DQfnOoaD9ORVqKK8ueY8x3S45Bpxz+5xzvx38svQnQdvRyTwXFeFyxoCcc/uCf3dL2ijphhnoM2beeOOEz4EKRYCeumclLTOzxWYWkXSPpLFXUL8p6U5JMrNrVQhPB4LH3WNmUTNbLGmZpGdmrOeYLlMeA2Y2x8xCQfsSFcbA7hnrOabLJceAmTUHf3WQpPslfTe43y1prZllzCwjaW3Qhsoy5TEQfO+j5x4j6RZJW2es55hJ6yT9QTAbx3skHXXO7RefAxUrXO4OVCrn3KCZfU6FgR6S9F3nXM7MHpC02Tm3TtIfS/q2mf1HFf4kc69zzknKmdnfqfBBOSjps865ofIcCabqcsaAmd0u6QEzG5Q0JOkPnXMTXYCCWWiSY2C1pD8zMydpk6TPBs/tM7M/VSGASdIDjIHKczljQNK1kr5lZsMqnND6c+ccAboCmdnfqvB9bg6uefmaJF+SnHMPqnANzAdUmDTglKRPBtv4HKhQrEQIAAAAFIESDgAAAKAIBGgAAACgCARoAAAAoAgEaAAAAKAIBGgAAACgCARoAFXJzFrN7EdmttvMnjOzp8zsI9O079Vm9ovL3MeQmb1oZjkze8nMvjhqruBpYWaLzGzLdO5zOpjZf55g255gTuTJ7mtWHiOA6kaABlB1zMwk/YOkTc65Jc65d6mwwMX8MvXnYnPun3bOXe+ca5N0lwpzxH5tZntWNuMGaACoBARoANVojaSzwQIGkiTn3BvOuf8pSWYWMrO/MLNnzexlM/t00L7azDaa2U/MbLuZ/U0QxmVmnUHbk5J++9x+zSxpZt8N9vWCmd0dtN9rZn9vZj+XtH6izjrneiXdJ+lzwUpl4/Xvx2b2gVGv/Vdm9tHxHj+amcXM7Htm9krQzztG9fP/mVmXme0ws68F7YuC4/2OmW0J3ov3mdmvzGynma2axPH/NNjvTjP7b0H7n0uKB2ff/2a89yR4/W1m9u3gLP16M4sH294VnLV/SucXJZno+/oRM3s0eG/nmtmrZpad6HsCABMhQAOoRm2Snp9g+6dUWEr3Jkk3Sfr3ZrY42HaDpP8gaYWkJZJuMbOYpG9L+teSbpM0Onz9iaQNwb7ukPQXZpYMtt0s6RPOuTWX6rBzbrcKn8ktE/TvYUm/K0lWWDb6ThVWOJvoeM45twLiOyR9TNL3g+OSpFWSfl/S9ZJ+x8xWBu1LJX1T0nWSlkv6PUm3SvqSzp9Fnuj4rw/6+w5Jv2tmC5xzX9H5s++/f4m3ZZmkvwzO0h+R9NGg/XuS/sg5d/OYx1/0fXDO/UxSPngPvi3pa865/CVeGwDGRYAGUPXM7C+DM5bnlstdK+kPzOxFSb+W1KRCWJOkZ5xze51zw5JelLRIhfD4unNupyss3/rXo3a/VtJXgn1tlBSTtDDY9kiRy/LaJfr3z5LWmFlU0vtVKFE5fYnjOedWST+UJOfcdklvSLp6VD8PBfv6afBYBcf8SvBe5CQ9Fhz/K8H7cqnjf8w5d9Q51y9pq6Qri3gvzr3+i8H95yQtMrMGSWnn3BNB+w9HPX6i9+Hzku6XdMY597dF9gMALnCxujwAqHQ5nT9bKefcZ4ML0zYHTSbp88657tFPMrPVks6MahrS+c9JN85rmaSPOud2jNnXuyWdnGyHzWxJ8Hq94/UveNxGSR0qnNk9FwTHO55FY/o5nrHHdu7r0e/F8Kivh3X+fZno+Md7Lydr7PPjwetN9L246PsmaV7Q71Yz84JfCgBgSjgDDaAabZAUM7PPjGpLjLrfLekzZuZLkpldPars4GK2S1psZlcFX39szL4+P6pW+oZiO2tmcyQ9KOl/BWd4J+rfw5I+qUIpybmgOJnj2aRCmYbM7GoVzhKfC713mVljUGP8YUm/KqL7Uzn+gXN9LZZz7oiko2Z27iz56DKQi74PVriI83sqlKBsk/TFqbw2AJzDGWgAVcc558zsw5K+bmZflnRAhbPB/yl4yHdUKEF4Pgh+B1QIjuPtr9/M7pP0j2Z2UNKTktqDzX8q6RuSXg72tUfSByfRzXhQauBLGlShFOG/T6J/6yX9QNI659zZIo7nf0t60MxeCV7vXufcmSD3Phm8/lJJP3LObR5z9noiUzn+h4LHPz+JOuiL+aSk75rZKZ3/JUIa/334Y0m/dM79MnjPnzWzf3TObZvCawOArHCyAwBQi8zsXkkrnXOfK3dfAKBSUMIBAAAAFIEz0AAAAEAROAMNAAAAFIEADQAAABSBAA0AAAAUgQANAAAAFIEADQAAABSBAA0AAAAU4f8D6YzBmWO0i3sAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,8))\n", "sns.regplot(x='Gender Development Index',y='Score' ,data=Data)\n", "#there is a positive linear relationship between gender development and happiness score" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 184, "metadata": {}, "outputs": [], "source": [ "bar = Data.drop(['Score'],axis = 1)" ] }, { "cell_type": "code", "execution_count": 185, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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L83ibPP9dqaqPqeplwFxgbDbrWR64KSBB1nibQkVy+R82z1fgGcwDvsBRZjZ7RTAPPF3A9yEVyyTlXUDB/2mcLvKiHkzj4ItmKCdF8+Tn6cyJSH1V3et82gf42XchGeMnvq6E6cGN699//53x48ezbt06KlWqRMmSJZk4cSL9+vVj1apV9O3blyuuuILExERq1KjBxIkTueGGGwCYMmUK77zzDtWqVSMlJYXnnnuOPn36+PY9+Mn111/PvHnzAJg3bx5jxowp4IiKprwO5JkqIttFZCuOmigP+jlOYwodVeWmm24iKiqKX375hY0bN/Lxxx9z6NAh1zqdOnVi8+bN7N69mzfeeIOxY8fy3XffuV4fP348MTExLFy4kFGjRpGW5ruMDVX16f4y+vLLL6lYsSKnTp3irbfe8ssxTB4ndAB+4a+r9xTgjJ/iM6bQWrFiBSVLluSee/7KsK1Tpw73339/lutHRETw5JNPMmPGjItea9SoESEhIRw/fmHFiilTpnD77bfTtWtX6tevzzvvvON67aWXXqJNmzY0b96cp55y9HDGxsbSqFEjxowZQ6tWrTh48ML0up9++omrrrqKFi1a0LZtW06fPk1sbCydOnWiVatWtGrVih9//BGAVatWERUVRb9+/WjcuDH33HOP6wshPDyc48ePM2nSJPbt20dERAQPP/wwCQkJdOvWjVatWtGsWTP+/e9/5+HMmnR5ndBhOTBZVVNE5AVgMvBIjnsqZBM6BHJud4HkdQfu6XDjK/x5bRGdw+2cr77aQe3ardyut3s3xMdfuJ9SpVoRE/MS0dFw5AiULu14ffv29aSmBrF/fzUOZJhC5cgRWL9+K7NnryM5+QxDh7YkLKw3+/Zt58cf9/LWWxtQVf7+9z7Urr2aSy+9nN27dzNx4hxGjXqLuDhIT3o4f/4ct9wykOeeW0CTJm1ISPiTHTtKk5JSnalTl1OqVCgHDuzlzjsH88EH0ezeDevXb2DBgp3UrFmHBx7oxUsvfUq3brdw7hzExMCQIVP56aftvPtuDADbt6fwxBNLKFfuEk6dOs7Ike2pVasPLWunZnsuQ0rFXLywStHs186NvOaBL8vwdB1wi2/DMqboeeGF+9iyZS0hISX54IOf3Kx14bfk/Pmv8tVXH1G2bHmee25BllkKUVF9CQ0tTWhoaSIjr2HHjg3ExKxl/fplDB3aEoCkpAQOHtzLpZdeTs2adWjWrP1F+9m/fzdVq9akSZM2AJQrdwkAyclnePHFsezZE0NQUDAHDuxxbdOkSVvCwq4AoGfPwcTErKVbt+yaA+Wttx5l8+bViAQRF3eYEyd+h9qWY5wXvrj9OwpY4O5FywM3xdUVVzRhxYrFruePPPImp04dZ9gw91eOu3dvJjz8r8yZwYPHc/vtE7I9TuZGXURQVUaMmEz//hfON37kSCyhoWWz3I+qZvkFMW/eq1SuXIN587aQlpZGx46hGY+WbSyZffXVXE6ejOPDDzcSElKCPn3COXcuOdttjHtejS8Wkcdw9IHPdbeO5YGb4qpNm66cO5fMokUzXcuSkxPdrr9371bee+9ZBgy4L1fH+f77f3P2bDKnTp1g48ZVNG7chg4devLZZ7NJTEwA4Nixw/zxx7Fs9xMe3pC4uCPs2OH46+DMmdOkpKSQkBBP1ao1CQoK4ssvPyQ19a/ujp07N3D48K+kpaWxfPkCIiI6XrDPMmXKk5h42vU8ISGeypWrExJSgujolRw9uj9X79VcyJuRmMOBG4BumlNBlXSFLA88oLt8i2Ved25lygP38T2NnHtgheXLlzJ+/HgGDHiRatWqUbZsWV599QUiIyEhAbZuXcPo0S1JTEykevXqvP32G9x4YzcAPv8cypXLPn/888+hS5e2PPlkbw4cOMCzzz7BddfVAmqRmrqL++7rAEC5cuX46KOPCA4OpnRpd/ssydKlC7j//vtJSkqidOnSfPvttzz99Bhuvvlm1q1byDXXXEPZsmVd8V91VQfmzZvEtm3biIqKYsKEfgQFQcmSEBEBVatW4ZprrmbEiKZcd911TJ78CDfeeCP33BNJREQEDRs2pHlzCKmVU1Nk/d1ZybGYFYCzD/zzDMWsegGvAJ1V1eNxn5GRkRqd050fY3xk165dNGoUOAN5/GHKlCmUK1eOCROy72bxh1WrVjFt2jQ+//zzfD92UZbV/1t3xazymgc+AygPLHeWlH3bN6EbY4zxlCddKBnzwNOvwP8EpgDNgbaqapfVxhSAKVOmFNixu3TpQpcuXQrs+Mazm5j/AnplWrYd6A+s9nVAxhhjPJPXPPBdkPvKWYVtII83AnkQULqAmeTBb6fKvwN5/C062m7c+VqEn2uP53wz1rcKfpoSY4wxeeL3BlxE7hKRaBGJjjud8/rGGGM84/cG3AbymEAhRPr0xxO//36CIUMe54or+tK69e106DCKJUtW+uT9bNy4ivHjb/BqH+3aBTNkSAS33tqEIUNaMHfuKz6vUHjkSCwDBzb16T59YeobU92+9rd2f+P4H8fdvp5Z7MFYIrpG+CKsXMnfDptCNpDHG4HfA04xGAzk7wkdsm/EHeVkr2L48OHMm/c1APv37+ezzz7LcVvIeQKIhASoUMHziSJSUlIICbnwV7506dLs2eMoFHXs2DGGDBnCJZfE8/TTT3u2Uw/ExpLN4KH89tf7nzpjKo9PfTzr1YIh5NIQQqp61kSGnAvJ79YUyGMeuIj0E5FDQAfgCxH5xt+BGlPY5FRONjU1lYcffthV8vWf//wn4Bgg06VLF2655RYaNmzI0KFDSR9w9/XXX9OwYUM6duzIp59+6trvmTNnGDVqFG3atKFly5auMq3/+te/GDBgADfeeCM9evTINt7q1asza9YsZsyYgaq6jW/gwIF8+eWXru1GjBjB4sWL3a6fUXJyMiNHjqRZs2a0bNmSlStXuuLs27cvvXr1okGDBq4vkNjYWBo2bMidd95J06ZNGTp0KN9++y1XX3019evXZ8OGDTm+//79+9OrVy/q16/PxIkTAZg0aRJJSUlEREQwdOhQt+ckvfzu6NGjadKkCT169CApyTFB8saNG2nRogUdOnTgzTffdG3j7jwsWbKEa6+9FlXl6NGjXHnllfz222/ZfiY5UtV8+2ndurUak1927tx5wXNf/4fOyeuvv67jxo1z+/o///lPffbZZ1VVNTk5WVu3bq2//PKLrly5Ui+55BI9ePCgpqamavv27XXNmjWalJSkYWFhumfPHk1LS9MBAwZo7969VVV18uTJ+uGHH6qq6smTJ7V+/fqakJCgc+bM0dq1a+uJEyeyjKFs2bIXLatYsaL+9ttvbuP79NNPddiwYaqqevbsWQ0LC9PExES36//666/apEkTVVWdNm2ajhgxQlVVd+3apZdddpkmJSXpnDlz9NJLL9Xjx49rYmKiNmnSRH/66Sf99ddfNTg4WLdu3aqpqanaqlUrHTlypKalpenSpUu1b9++Ob7/unXr6qlTpzQpKUkvv/xyPXDggNv3nq5OnToaFxfnOv7mzZtVVXXAgAGu4zRr1kxXrVqlqqoTJkxwvUd350FVdejQoTp9+nTt3bu3zps3L8tjZ/5/q6oKRGsW/w09uQKfLSLHRGR7hmWVRWS5iOx1/lvJu68RY4q+++67jxYtWtCmjaNc67Jly/jggw+IiIigXbt2nDhxgr17HTMVtm3blrCwMIKCgoiIiCA2Npaff/6ZunXrUr9+fUSE2267zbXvZcuWMXXqVCIiIujSpQvJyckccBYO7969O5UrV/Y4TnVe7buL77rrrmPFihWcPXuWr776iqioKEqXLp3t+0m3du1abr/9dgAaNmxInTp12LNnjyvOKlWqULp0afr378/atWsBqFu3Ls2aNSMoKIgmTZrQrVs3RIRmzZoRGxub4/vv1q0bFSpUIDQ0lMaNG7N/f+4KaNWtW5eICEf/duvWrYmNjSU+Pp5Tp07RuXNnANd7yu68AUyfPp3nn3+eUqVKMXjw4FzFkZW8TugwCfhOVaeKyCTn8yI3oUNeBHL+d8DkfUM+3STInAfu607Y7O/nNGkSwuLF37vWe/PNkRw/3o/IyGFANKp/MH36/fTs2eGC7Vat2kipUslANNHRkZw4EczevSmIQEKCuCaA2Lv3rwkhzpxRnn12MeHhDVz7OXMGfv11PWfOlHU7qURa2oUTShw69AsQzIED1fnjD+X++6fToUPPC7bZvh2aNevCjBnfsHz5Anr0GEx0NG7X37o1lqQkx3FOnlR274ZLHKXGSUiAHTsg9WQqmqSkHHHkaaedTiMtJI2U31MoFVzKtZxkCDkTQsqRFNLi0khJTnE8PpfGgrcW0OBvDS449o8nf6RESgnX9kHngzj721k4EQ2kOf/N6sSccz0sVaqU63FwcDBJSUluS++C4wtw+vTp9OzZ86LXDh8+TFBQEL///jtpaWkEBXmXR5Lj1qq6Gvgj0+K+wPvOx+8DN3kVhTFFUNeubUhOPsfMmYtcyxIT/6p93bNne2bOXMz5847GZc+e/Zw5k+R2f+HhDTly5FcOHdoHwLJl812vtW/fk08+me66et69e3Ou4z15Mo6pU+9hwICxiAjt2/dk8eKZpKScB2D//j0kJTm+EHv0GMTnn89h8+Y1rgY7u/XTtWwZxddfz3W9/ttvB6hTx9HofrfmO/44+QdJSUn8+5t/c1WbqzyOvUfnHrw5503X+9+8Pef3XyIkxHXuc6tixYpUqFDB9VfC3Ll/VdTu2bMnM2fO5Px5x3nYs2cPZ86cISUlhZEjRzJv3jwaNWrEK6+8kqdjZ5TX+6Y1VPUogKoeFZHq7la0CR1MoNAcrph9TURYunQa48e/wosvfki1ahUpW7Y0L7wwFoA777yJ2NijtGp1G6pKtWqVWLp0mtv9lSoVyqOPzmLcuN5UrFiVFi068ssvjp7NO+54gldeGcfgwc1RVWrVCufVV3OuEnj2bBJDhkSQknKekJAQrrvudoYOfQiAm266k6NHY7nttlaoKpUqVWPatKUAtG/fgylThtGpUx9KlCiZ4/rpbrllDM8/fw+DBjUjODiEp576FyVLOq5wr25zNSMeGMG+2H0M6jeIyBaRxB6M9ehcPzbuMR566iFaXtsSFOqE1eHfH2Q/3+Zdw/rRPGowrZo3YO4//+HRcTKaM2cOo0aNokyZMhdcbd95553ExsbSqlUr5+dajaVLl/Lyyy/TqVMnOnXqREREBG3atKF3795eVczMaznZU6paMcPrJ1U1x37wyCtEo3N/ngoV60LxUD6cpl27vqJRo8J91VBchtNvWfMeG7du5I3/eyNfjpflHJuZFdCcm7kpJ5vXK/DfRaSm8+q7JpD9VB/pikEeeOA23xSDvO/M/J0H7n+BkTvtf9u3BxNUNigfa4kUjROb1x70z4DhzsfDgez/VjHGmGyMGDGCGTNmFHQYhU5eJ3SYCnQXkb1Ad+dzY4wx+ciTcrLukhW7iciDwGhgjYi8o6qv+TQ6Y4wxbnkzqXFTHI13W+Ac8LWIfKGqe91uVAzywLMSyDc2IYBubvr8NBWOeuBF+Ualv+tveyqQb1p6w5ss8kbAOlVNVNUU4Hugn2/CMsYYkxNvbvluB/5PRKrgmDfzerIYmmZ54CZgSBvf7k9/ynGV4OB2NGtWj5SUVOrWrcWHHz5DxYrZ11WOiirH6tUJbl8/ffoUX389jwEDxgAQF3eEadMe4IUXFrndxhNpaWm88so4fvppBSJCyZKhPP/8J9SuXder/Rr/yfMVuDqmVXsBWA58DWwBLvp7Sa0euCnGSpcuRUzMPLZvX0DlyhV4882FXu/z9OlTLFr0lut5tWq1vG68AZYvX0Bc3BHmz9/Kxx9v46WXllC+fMWcN8xGSkpgdKEUWVlVuMrLD/AcMCa7dawaoclPF1V1c2TC++7HAxkr3s2cOVPvvfde1/MXX3xRIyMjtVmzZvrkk09etM3p06e1a9eu2rJlS23atKkuXbpUVVUHDhyooaGh2qJFC50wYcIF1f7atm2r27dvd+2rc+fOGh0drQkJCTpy5EiNjIzUiIgI174yevnll3Xs2LFZvo+vvvpKW7Zsqc2bN9euXbuqqi56+WcAACAASURBVOqJEye0b9++2qxZM23Xrp1u2bJFVVWfeuopHT16tHbv3l0HDx6sKSkpOmHCBNd7ffvttz06d8VVbqoRettoV3f+eznwM1Apu/WtATf5KZAa8JSUFL3lllv0q6++UlXVb775RkePHq1paWmampqqvXv31u+///6Cbc6fP6/x8fGqqhoXF6f16tXTtLS0CxpsVb3g+SuvvOL6Mjhy5IjWr19fVd2XW83o4MGDWqdOHW3RooU+9NBDumnTJlVVPXbsmIaFhblKoqaXph07dqxOmTJFVVW/++47bdGihao6GvBWrVppYmKiqmZfXtVcLDcNuLfDnhY7+8DPA/ep6kkv92dMkZI+aUBsbCytW7eme/fugKPk6LJly2jZsiUACQkJ7N27l6ioKNe2qsqjjz7K6tWrCQoK4vDhw/z+++/ZHu/WW2+le/fuPP3003zyyScMGDDAdbzPPvuMadMctVbSy61mHLIdFhbG7t27WbFiBStWrKBbt24sXLiQxMREoqKiqFvX0ReeXpp27dq1LF68GICuXbty4sQJ4uPjAejTpw+lS5d2HXvr1q0sWuTo5omPj2fv3r2u/Zm886oBV9VOvgrEmKKodOnSxMTEEB8fzw033MCbb77JAw88gKoyefJk7r77brfbzp07l7i4ODZu3EiJEiUIDw8nOTnZ7foAtWvXpkqVKmzdupUFCxa4ZoNRVRYvXkyDBg2y3b5UqVJcd911XHfdddSoUYOlS5fSvXv3LEunahalGdLXK1u27AXruSuvarzjVTFaERkvIjtEZLuIzBeRUF8FZkxRUqFCBd544w2mTZvG+fPn6dmzJ7NnzyYhwZFtcvjwYY4du7CkUHx8PNWrV6dEiRKsXLnSNRFB+fLlOX36tNtjDRo0iBdffJH4+HiaNWsGOEqcTp/+V7nZzZsvLre6adMmjhw5AjgyUrZu3UqdOnXo0KED33//Pb/++isAf/zhqC4dFRXlKqO6atUqqlatyiXphb4zcFde1XjPm4E8tYEHgMaqmiQinwCDcEwAkbUiPJDHBut4KF9PU6aBPB6k/eWOJ4XZ0lzrtWwJLVrU4eOPn+f226/nm2+GEBHhmMyhTJlyPPPMR4SFVXdNstCkyVDee+9GGjeO5MorIwgPb8jWrVCrVhUaNbqaevWactVV1zFgwH2uCRMA/va3W3jwwQe5444nXMuuv95RbrZ+ffflZn/88RgzZ47m3LmzADRp0pYOHcayf38oEybMolev/qimUalSdd58czl9+07hmWdG8sEHzQkNLcOjj75PdDQcOeKYxDj92BERd/Lf/8bSqNGFZWbLlXO+no+DffKvWFb+8KicbJYbOhrwdUAL4E9gKfCGqi5zt01RLidrDbiH8vE0BXo52aI8AjM3rAG/UG7KyXqTB34YmAYcAI4C8Vk13iJyl4hEi0h0nPu/+owxxuRSnhtw50TGfYG6QC2grIjclnk9tYE8xhjjF978PXEt8KuqxgGIyKfAVcBHbrcowhM6BHYHCsVwMgcI9AkdistkDTkL/G6NQOVNFsoBoL2IlBFH7lA3HL8xxhhj8oE3feDrgUXAJmCbc1+zfBSXMcaYHHjTB94ARx94Mo4iVn2Be30UlzHGmBzkufNJVXcDEQAiEgwcBpZku1ERzgNPZ+mEueTX05V5Qgcfl5PFs7zyJUtW0r//RHbtWkjDhuFeHTE99fDuu7vw4IPTaNz4r470nTuj+fLLD5gwwf3M7osXv01oaBl69x7mVRzurFq1lMsvv5Irrmjsk/1NmTKCTp1u4O+335TnfVSsX5FTe0/5JJ50OU4QkU+TQ3g1EjODbsA+Vd3vo/0ZU2TMn7+Mjh0j+Phjt0MkfKJx48hsG2+Am2++x2+NNzga8F9/3em3/eekuJWv9VUDPgiYn9ULlgduirOEhER++GEL7733+AUN+MCBk/nyyx9cz0eMmMLixStITEzm1lsn07z5YAYOnEy7diOIjvasQdy4cRXjx99AWloaffqEc/r0X1ed/fr9jRMnfmfWrCl8+KGjoNXdd3dh+vRHGD68LTfffCWbN68BIDk5kcmTb2Xw4OZMnjyQESPasXPnxdlj06dP4tZbGzN4cHNee20CW7b8yJo1n/HGGw8zZEgEhw7tY8mSdxg2rA1DhrRg4sSbSU5OBBxX1tOmPcCoUVfRt+8VfPedo9CVqvLii2O59dbGjBvXm5Mn/yov8I9X/0H769sT0TWCeybe4yoL0O2Wbjz+/ON0vbkr09+dzq8HfqXjjR1pf317nnrxKdf2R38/yjX9r6F199ZEdI1g7fq1Hp3XQOZ1Ay4iJYE+QJaV6i0P3BRnS5euolevDlx5ZR0qV76ETZt+BmDQoB4sWLAcgHPnzvPddz9x/fVX8dZbC6lUqTxbt87niSfuYOPGn3N9zKCgIKKi+rJypaNHc/v29dSsGU6VKjUuWjclJYX339/AQw+9xjvvPA3AwoVvUb58JebP38oddzzBzz9vvGi7+Pg/WLVqCQsW7HCu9zgtWlxFp059eOCBl5g3L4awsHpcc01/PvjgJ+bN20Lduo3497/fc+3j+PGjvPvuWl599XNmzJgEwMqVS9i/fzfz52/jscfeYevWH13rjxkxhnVfriNmRQxJSUl8sfwL12un/jzFisUrGH/PeB568iHuHnY3675cR43qf73nj5d8TI/OPdi4fCMbl2+kRZMWuT63ASerGrO5+cFx83KZJ+taPXCTny6uq+z1f/dMPzm7/vrrddmyZaqq+vrrr+uECRNUVTUpKUnDwsI0OTlZly5dqkOGDFFV1b59++qKFStc27ds2VJ/+umni/bbuXPni5avXLlSe/furaqqP/zwg/bs2VNVVceNG6ezZs1SVUet7pdeesm1j7Vr16qq6m+//ab16tXzOIbz589r8+bNddSoUbp48WI9e/asqqoOHz5cFy5c6Fpv1apV2rFjR23atKmGh4fr3Xff7Vrvo48+cq1Xrlw5VVV98MEH9b333nMt79evn2t/ixYt0rZt22rTpk21Vq1a+vzzz7vex6pVq1zbVK5cWc+dO6eqqvHx8a766t9//73Wq1dPn3rqKd28efNF5zRQ5KYeuC+6UAbjpvvEmOLsxIkTrFixgjvvvJPw8HBeeuklFixYgKoSGhpKly5d+Oabb1iwYAGDBg0Csi7RmhcdOnTgf//7H3FxcSxdupT+/ftnuV6pUqUACA4OdvUfexJDSEgIGzZs4Oabb2bp0qX06tUry/VGjBjBjBkz2LZtG0899dQF5XDTj535mFmVrk1OTmbMmDEsWrSIbdu2MXr06Av2lbF8rbt9REVFsXr1amrXrs3tt9/OBx98kOP7DHTelpMtA3QHPvVNOMYUHYsWLWLYsGHs37+f2NhYDh48SN26dVm71tH3OmjQIObMmcOaNWtctbI7duzIJ598AsDOnTvZtm1bno4tIvTr14+HHnqIRo0aUaVKFY+39SSGhIQE4uPjuf7663nttdeIiXFkZWQudXv69Glq1qzJ+fPnXaVnsxMVFcXHH39MamoqR48eZeXKlQCuxrpq1aokJCS4JofIytVXX83HH38McMEx9+/fT/Xq1Rk9ejR33HEHmzZtyjGeQOftFXhJYCWwXkR2iUgHH8RkjJ+oj3+yN3/+fPr163fBsptvvpl58+YB0KNHD1avXs21115LyZIlARgzZgxxcXE0b96cF154gebNm1OhQoUs99+7d2/CwsIICwtzzbyT0cCBA/noo48YOHBgjrFm5EkMp0+f5oYbbqB58+Z07tyZV199FXB8Kb300ku0bNmSffv28eyzz9KuXTu6d+9Ow4YNczx2v379qF+/Ps2aNePee++lc+fOAFSsWJHRo0fTrFkzbrrpJtq0cZ8S+vrrr/Pmm2/Spk0b1wxB4KhZHhERQcuWLVm8eDEPPvhgrs5LIMpzOVkAEXkfWKOq7zpvZpZRVbcJl0W5nGy6QM4DD4gccCsnm63U1FTOn08hNLQUS5dWYsyYbixevIcSJUrmawwpKecpVSqUQ4f2+SWG/Cwhm50c87kh33K60+WmnKw3EzpcAkQBIwBU9RxwLq/7M8ZAYmIy11xzL+fPp5CYGMojj8zM18YbHGmE9957DSkp51HVAonBeMabMmBXAHHAHBFpAWwEHlTVC+ZKEpG7gLsALi9cF0PG5Lvy5csSHe24uVZQEz6ULVueDz4omlVDixpv+sBDgFbATFVtiWPM8qTMK6nlgRtjjF9404AfAg6poyohOCoTtvI+JGOMMZ7wppjVbyJyUEQaqKOwVTcg+zG/RXhCh3SBewuTYjipQ2BP6JCToj3hQ6BM4lC4T7K3Z/F+YK4zA+UXYKT3IRljjPGEVw24qsZQ2L/CTLHh6yzKYvcHjQk43o7EjBWRbSISIyJFu2/EmHzw2WefMXXq1IIOwxQSvuiIukZVj3u0ZhGf0CGQB/GkC4jBPBnl64QOvv5j0XfXLOkpg7Vq9aFWrT5E59PlUGpqKsHBwX7bf6AM2IHAmYTBlwLlToIxRdazz77L3Llfc9llNahatSKtWzfk88/XEhFxJRs27ODPP8/w8MPzadKkLf/5z7/YtSuaiRNnZLmvb79dyDvvPE1wcDDlylVg1qzVpKamMn36I6xb9w0iwk03jWbgwPvZsOE7Xn99AqmpKTRu3IZJk2ZSsmQp+vQJ58YbR7F+/TJuvXUsjRu34YUX7uPUqThCQ8vw2GPvEB6e87B3U/C8bcAVWCYiCvxTVS+a1NgG8pjiLDp6J4sXr2Dz5o9ISUmlVavbad3a0TieOZPEjz/OZvXqTYwcOYoFC7bnuL93332G6dO/oXr12q4JG5YsmcWRI7/y0UebCQkJIT7+D86eTebpp0fw1lvfUafOlTz11DAWLZrJkCHjAChVKpR333UU1br33m5Mnvw2l19en+3b1/PCC2OYOXOFn86I8SVvG/CrVfWIiFQHlovIz6q6OuMKzkZ9FjhqoXh5PGMKlbVrY+jbtzOlS4cCcOONnVyvDR7sqEAYFdWKM2f+vGAGHXdatLiap58ewbXX3so11zhKxG7Y8C0333wPISGOX+cKFSqzZ88WateuS506VwLQu/dwFi5809WAd+/uKHCVmJjAtm0/MmnSX8Wwzp8/6+3bNvnE2yyUI85/j4nIEqAtsNrtBkU8D7xQfDsVq9QJf+eB59xnqroGOJVh3RpALaA8Ig1dy0uWhFathP374cQJ9zngixe/zfr16/niiy8YOTKCmJgYKlZUGjSQC7YJCVHKlftrP/HxUKmS43nJktChQ1mqVoU//0yjUqWK7NnjQVGnPAmkXtrC18edkzxnoYhIWREpn/4Y6AHk/DegMQVE1bc/nujYsSP/+c9/SE5OJiEhgS+++GsasAULFgCwdu1aKlSo4LZsbEb79u2jXbt2PPPMM1StWpWDBw/So0cP3n77bdeEDH/88QcNGzYkNjaW//3vfwB8+OGHrtKsGV1yySXUrVuXhQsXOs+RsmXLFs/enClw3nw91gCWOGe+CAHmqerXPonKmCKiTZs29OnThxYtWlCnTh0iIyNdDXWlSpW46qqr+PPPP5k9e7ZH+3v44YfZu3cvqkq3bt1o0aIFTZs2Zc+ePTRv3pwSJUowevRoxo4dy5w5cxgwYAApKSm0adOGe+65J8t9zp07l3vvvZd//OMfnD9/nkGDBtGiRRGYL7IY8KoeOICIBOPIpzqsqjdkt25kZKRG51d+lCn2sqqrXBASEhIoV64ciYmJREVFMWvWLB566CGmTZtGZNEeL2/yIF/qgWfwII7OxktyXLOI5oEHcv538cr7zixzHnjBuOuux9m58xeSk88xfHhvWrVKA06TXemggiol6w+BlAuelUCc1MFTXjXgIhIG9Ab+D3jIJxEZU8TMm3fxNFSrVv0z221mz/4/vv124QXLrr12AKNGPebT2Ezh5u0V+GvARMBtpW/LAzcm90aNeswaa5Mjb7JQbgCOqerG7NazCR2MMcY/vLkCvxroIyLXA6HAJSLykare5naLIpoHHrg94BSzvO/MCm898KJ1bzOQcsGzUnhPdp6vwFV1sqqGqWo4MAhYkW3jbYwxxqcC/avRGJ85+exJn+6v0hOVfLo/Y3LLmz7wUBHZICJbgDdxzEpvjMkgODiYiIgImjZtyoABA0hMTMx2/XLlyrl9LTY2ltKlSxMREUHjxo0ZNmwY58+fz3Ns4eHhHD/uWSVoE5i8uQI/C3RV1QQRKQGsFZGvVHWd2y2KaB54RoGcE54uoHLD87UeeD0f7z/n+zmlS5ciJuZdAIYOfZy3336Mhx4ams0Waa79Zs4FP3IEatWqx7vvxpCamsrYsd2ZOvUTrrsuu/25d+4cxMRAxYp52txnAi1PPKRW4emY8KYPXFU1wfm0hPMn8FsvYwpIp04t+d//DgLwyitzadp0IE2bDuS11+blel/BwcE0btyWuLjDABw5Esvo0Z247bZW3HZbK7Zs+RGAjRtXcffdXXjkkVu45ZaGPP74UDKPvk5OTuL++3uxZMk7Xr5Dk9+8nVItWERigGPAclVd75uwjClaUlJS+OqrH2nW7G9s3LiLOXP+w/r1/2Ldujm8885SNm/enav9nT2bzI4d6+nQoRcAlStXZ8aM5Xz00Saee24BL7/8gGvd3bs389BDr/HJJzs5cuQXtmz5wfVaYmICDz10I716DaFfv9G+ebMm33jVgKtqqqpGAGFAWxFpmnkdEblLRKJFJDrutDdHM6bwSUo6S0TEECIjh3H55Zdyxx19Wbs2hn79ulC2bGnKlStD//7XsGbNZo/2d/jwPoYMieDaa6tw6aWXU79+cwBSUs7zf/83mkGDmjFp0gB++eWvYfpNmrSlRo0wgoKCuPLKCI4ciXW9NmFCX268cSS9ew/z6fs2+cMnnT2qekpEVgG9yFRS1iZ0MMWZow/8wi4SbwrI1a5dj3nzYjh+/Ch3392F77//jM6d+zBv3qtUrlyDefO2kJaWRseOoa5tSpYs5XocFBRMaupffc7Nm1/Njz9+Ra9eQ5BAujdiPJLnBlxEqgHnnY13aeBa4IVsNyqiA3kyKhTfUMVmcM+FA3kqPeHr/XsyACToovWiooIYMWIEkya9gaqyZMl6PvzwQ6DlBetnHswTGwulS6cvr8lrr03lxRef5+9/78PcufE0aBBG27ZBzJnzPqmpqURGQkICVKjw176qV4e6df+a2OHtt5/h2WefZfbsMcycOdObk+GFwnPTMNB404VSE1gpIluBn3D0gX/um7CMKbpatWrFiBEjaNu2Le3atePOO++kZcuWud7PTTfdRGJiImvWrGHMmDG8//77tG/fnj179lC2bFmP9/Paa6+RnJzMxIkTcx2DKVhe1wPPDasHbvJToNQDNyY3clMP3JuBPJeJyEoR2SUiO0TkwbzuyxhjTO550/mUAvxdVTc558bcKCLLVdV9lfpiMJAHAnswT/EZxAOBMqFDbm3b9j9uv/3JC5aVKlWSN9+0KWfTFeTgn0CaACLPDbiqHgWOOh+fFpFdQG2ym2bEGJOjZs3+dlHmCoD1PprMvMoDTyci4ThuoV80kMfywI0xxj+8bsBFpBywGBinqn9mft0mdDDGGP/wdk7MEjga77mq+mmOGxSDPHAI8FzwYpMDDoV5QoesFK1JHrxVkLnjgfNBeDOQR4D3gF2q+orvQjLGT3x9Az2Hm9UnTpygW7duAPz2228EBwdTrVo1AMqUKcOPP/7o03ASExMZPXo0W7duRVWpWLEiX3/9dbYlanMrJiaGI0eOcP311/tsnybvvJ1S7XZgm7OgFcCjqvql92EZU/hVqVKFmBjHr8aUKVMoV64cEyZM8NvxXn/9dWrUqMG2bdsA2L17NyVKlPDpMWJiYoiOjrYGPEB4U052LTAHuBQIUdUIa7yN8Uz6VfGqVavo3Lkzt956K1deeSWTJk1i7ty5tG3blmbNmrFv3z4A4uLiuPnmm2nTpg1t2rThhx9+uGifR48epXbt2q7nDRo0oFSpUsTGxtKwYUOGDx9O8+bNueWWW1wTS2zcuJHOnTvTunVrevbsydGjRwHo0qULjzzyCG3btuXKK69kzZo1nDt3jieffJIFCxYQERHBggUL/H2aTA687Uj6FzAD+MCjtYtJHnhGgZwTnlHA5If79HT5Ow88N/dzjgClM2yTPnHDbrZs2cSuXQupXPkSrrjiJu68sy8bNrzF66/PZ/r0x3nttb/z4IOPM378LYSG3slvvx3gttt6snDhrguO0K7dKO6/vwfvv7+INm260bv3cC6/vD5Hjjiuxh9++D3uv/9qnnlmFJMnv8XgwQ9y11338/LL/6ZSpWosW7aAu+9+jCefnM3p03DoUApvvbWBH374kr///WneeutbRo58hl27opk4cYbjDOTDLa1Am/AhnUf54On8lBfuVQOuqqudKYTGmDxq06YxNWtWBaBevTB69GgPOPLBV650zFT47bcb2LnzFxITHQ3nmTN/cubMacqW/Su1q0GDCJYu/YV165axYcO3DB/ehtmz/0upUqWpUeMyWrS4GoDrrruNBQveoEOHXvzyy3buu687AGlpqVStWtO1v65d+wPQsGFrjh6N9ecpMHnk91u5InIXcBfA5VX9fTRjCp9SpUq6HgcFCaVKlXA+DiIlJRWAtLQ0/vvf2ezY0THbfZUpU46uXfvTtWt/goKC+OGHL+na9eaLSsU6nitXXNGE2bP/m+W+SpRwlKENDr6wBK0JHD4ZyJMdywM3xns9erRnxoyFrue7d1/85/uWLT/w558nATh//hy//rqTmjXrAPDbbwfYutXRUH/zzXxatOhInToNOHkyzrU8JeU8+/btyDaOsmXLk5hoI/ICRf4mUxaTPPCMCkcPOEU0PzxTHniB3o/4HCjHXznE6XW/E4AKGZaXBxpf9Nobb3zEfffdx4cfNiclJYWoqCiGDn37giPs3LmPcePuRVVJS0ujd+/eTJx4M/v376dRo0Zs2PA+r712N/Xr1+e55+6lTJmS/Oc/i3jggQeIj48nJSWFcePGERnZhPLloXFjR+758eOO2uGRkXDFFdewcOFU7rwzgsmTJzNw4ED/n7qArRde8PngXpeTdfaBf66qF02nlpmVkzX5ycrJOsTGxnLDDTewfbsVwyoM8qWcrHOn84H/Ag1E5JCI3OHN/owxxnjO2z7w94E/gf3ADFV9z/uQjDG+FB4eblffRZQ3EzoEA28C1+HotBssIo19FZgxvpCfM04Z463c/n/15u5AW+B/qvoLgIh8DPQlu3rgxWAgT6AP3AmYATvg9zu8oaGvc+JEPFWqhBBIb9sXoqML/gaarwTSQJ2CnKxBVTlx4gShoaEeb+NNA14bOJjh+SGgnRf7M8anwsKmcOjQFOLi/kY+ZMzmq+PHd+W8UiGx+3xaQYfgElTieM4rHfPfuQ8NDSUsLMzj9b1pwLO6prnomsoG8piCUqLESerWLZpTtTZuHNh/6eXGH8+cLOgQXCrVyzGZroDTUS/kzWXJIeCyDM/DcBR8uIAN5DHGGP/w5gr8J6C+iNQFDgODgCHZblEMBvIEznezG3ZTr0goWh9jpYIOIIPCdWK9mdQ4RUTGAt8AwcBsVc1+HK4xxhif8XokZq4OJnIa2J1vB8ybqoAHdzIKXGGI02L0jcIQIxSOOAtrjHVUtVrmFfO7yMDurIaDBhIRiQ70GKFwxGkx+kZhiBEKR5xFLcailVtljDHFiDXgxhhTSOV3Az4rn4+XF4UhRigccVqMvlEYYoTCEWeRijFfb2IaY4zxHetCMcaYQsoacGOMKaTypQEXkV4isltE/icik/LjmLklIrNF5JiIBGzhZBG5TERWisguEdkhIgFX6ENEQkVkg4hsccb4dEHH5I6IBIvIZhH5vKBjcUdEYkVkm4jEiEhADmMWkYoiskhEfnb+3+xQ0DFlJiINnOcw/edPERlX0HFlJiLjnb8320VkvohkW5rQ733gzrrhe4DuOOqn/AQMVlX3ZWcLgIhE4ZiE8ANPpocrCCJSE6ipqptEpDywEbgpkM6lOKY7L6uqCSJSAlgLPKiq6wo4tIuIyEM4Jja8RFVvKOh4siIisUCkqgbs4BMReR9Yo6rvikhJoIyqnirouNxxtkmHgXaqur+g40knIrVx/L40VtUkEfkE+FJV/+Vum/y4AnfVDVfVc0B63fCAoqqrgT8KOo7sqOpRVd3kfHwax6y9tQs2qgupQ4LzaQnnT8DdKReRMKA38G5Bx1KYicglQBTwHoCqngvkxtupG7AvkBrvDEKA0iISApQhiwKBGeVHA55V3fCAanQKI+dk0i2B9QUbycWcXRMxwDFguaoGXIzAa8BEIHCKUWdNgWUistFZmjnQXAHEAXOc3VHvikjZgg4qB4OA+QUdRGaqehiYBhwAjgLxqrosu23yowH3qG648ZyIlAMWA+NU9c+CjiczVU1V1QgcJYbbikhAdUmJyA3AMVXdWNCxeOBqVW2FY+rC+5xdfYEkBGgFzFTVlsAZICDvcwE4u3j6AAsLOpbMRKQSjt6JukAtoKyI3JbdNvnRgHtUN9x4xtmvvBiYq6qfFnQ82XH+Kb0K6FXAoWR2NdDH2b/8MdBVRD4q2JCypqpHnP8eA5bg6JIMJIeAQxn+ylqEo0EPVNcBm1T194IOJAvXAr+qapyqngc+Ba7KboP8aMBddcOd336DgM/y4bhFjvMG4XvALlV9paDjyYqIVBORis7HpXH8p/y5YKO6kKpOVtUwVQ3H8f9xhapme6VTEESkrPNmNc5uiR5AQGVJqepvwEERaeBc1I3s5sUteIMJwO4TpwNAexEp4/xd74bjPpdbfq9GWFjqhovIfKALUFVEDgFPqep7BRvVRa4Gbge2OfuYAR5V1S8LMKbMagLvO+/0BwGfqGrApukFd5CnFwAAAHJJREFUuBrAEsfvMiHAPFX9umBDytL9wFznBdovwMgCjidLIlIGRzbc3QUdS1ZUdb2ILAI2ASnAZnIYVm9D6Y0xppCykZjGGFNIWQNujDGFlDXgxhhTSFkDbowxhZQ14MYYU0hZA26MMYWUNeDGGFNI/T8EUDTorfBcVgAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(20,10))\n", "\n", "bar.plot.barh(stacked=True, title='Bar', color=(\"orange\", \"cyan\",\"red\",\"yellow\",\"blue\",\"violet\"))\n", "\n", "# display the plotted Horizontal Bar Chart\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 202, "metadata": {}, "outputs": [], "source": [ "bar.to_excel('sample_data.xlsx', sheet_name='sheet1', index=False)" ] }, { "cell_type": "code", "execution_count": 186, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "country object\n", "Score float64\n", "GDP per capita float64\n", "Gender Development Index float64\n", "Relative Score float64\n", "Avg Living standards float64\n", "gpi_score float64\n", "Pol_Rank float64\n", "Time Spent float64\n", "dtype: object\n" ] } ], "source": [ "datatypes = Data.dtypes\n", "print(datatypes)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Construct Model for Predicting Happiness" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [], "source": [ "X = Data.drop(['Score', 'country','Time Spent' ], axis=1)\n", "y = Data['Score']" ] }, { "cell_type": "code", "execution_count": 188, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " GDP per capita Gender Development Index Relative Score \\\n", "0 1.383 0.977 0.831667 \n", "1 1.488 0.996 0.833889 \n", "2 1.396 0.947 0.864444 \n", "3 1.387 0.999 0.825556 \n", "4 1.303 0.961 0.873333 \n", "5 1.365 0.982 0.877778 \n", "6 1.376 0.943 0.811111 \n", "7 1.372 0.976 0.864444 \n", "8 1.333 0.965 0.833333 \n", "9 1.499 0.973 0.828333 \n", "10 1.373 0.963 0.850000 \n", "11 1.433 0.995 0.827222 \n", "12 1.070 0.943 0.700000 \n", "13 1.324 0.987 0.828333 \n", "14 1.294 0.964 0.810000 \n", "15 1.206 1.007 0.835000 \n", "16 1.238 1.030 0.797778 \n", "17 1.258 0.996 0.831111 \n", "18 1.237 1.030 0.856111 \n", "19 1.327 0.961 0.882222 \n", "20 1.201 0.976 0.826111 \n", "21 1.221 0.985 0.816111 \n", "22 1.183 0.902 0.757222 \n", "23 1.181 0.961 0.788333 \n", "24 0.960 0.948 0.901667 \n", "25 0.755 0.795 0.641667 \n", "\n", " Avg Living standards gpi_score Pol_Rank Time Spent \n", "0 1.9253 1.239 0.838095 0.229167 \n", "1 1.7455 1.480 0.923809 0.255556 \n", "2 1.8418 1.606 0.757143 0.218750 \n", "3 1.7218 1.419 0.866667 0.000000 \n", "4 1.7822 1.239 0.971429 0.208681 \n", "5 1.5888 1.317 0.852381 0.193750 \n", "6 1.8168 1.328 0.828571 0.202083 \n", "7 1.8503 1.494 0.885714 0.196528 \n", "8 1.6120 1.609 0.638095 0.000000 \n", "9 1.5016 1.328 0.823809 0.217014 \n", "10 1.7725 1.424 0.666667 0.229861 \n", "11 1.6978 2.058 0.576190 0.000000 \n", "12 1.2065 2.445 0.209524 0.120139 \n", "13 1.5068 1.710 0.585714 0.204514 \n", "14 1.3897 1.690 0.609524 0.224653 \n", "15 1.2520 1.524 0.642857 0.198958 \n", "16 1.5977 1.741 0.752381 0.172569 \n", "17 1.6981 1.330 0.738095 0.215278 \n", "18 1.7599 1.715 0.680952 0.216319 \n", "19 1.6323 1.326 0.857143 0.193750 \n", "20 1.2840 1.476 0.714286 0.196181 \n", "21 1.6246 1.470 0.909524 0.169792 \n", "22 1.2640 2.344 0.100000 0.000000 \n", "23 1.3151 1.976 0.571429 0.238194 \n", "24 1.3229 2.321 0.400000 0.213889 \n", "25 1.0586 2.549 0.214286 0.175000 \n" ] } ], "source": [ "print(X)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "regr = linear_model.LinearRegression()\n", "regr.fit(X, y)" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Intercept: \n", " 2.615339649185021\n", "Coefficients: \n", " [ 4.17576962 -0.51592031 -2.86260146 1.24447058 -0.22961167 -0.31809624]\n" ] } ], "source": [ "print('Intercept: \\n', regr.intercept_)\n", "print('Coefficients: \\n', regr.coef_)" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " OLS Regression Results \n", "=======================================================================================\n", "Dep. Variable: Score R-squared (uncentered): 0.996\n", "Model: OLS Adj. R-squared (uncentered): 0.994\n", "Method: Least Squares F-statistic: 758.7\n", "Date: Thu, 18 Aug 2022 Prob (F-statistic): 1.68e-22\n", "Time: 00:27:07 Log-Likelihood: -14.968\n", "No. Observations: 26 AIC: 41.94\n", "Df Residuals: 20 BIC: 49.48\n", "Df Model: 6 \n", "Covariance Type: nonrobust \n", "============================================================================================\n", " coef std err t P>|t| [0.025 0.975]\n", "--------------------------------------------------------------------------------------------\n", "GDP per capita 4.2989 1.088 3.951 0.001 2.029 6.568\n", "Gender Development Index 0.7390 2.751 0.269 0.791 -4.999 6.477\n", "Relative Score -2.2142 2.544 -0.870 0.394 -7.521 3.093\n", "Avg Living standards 1.2522 0.735 1.703 0.104 -0.282 2.786\n", "gpi_score 0.0983 0.542 0.181 0.858 -1.033 1.229\n", "Pol_Rank -0.0942 1.166 -0.081 0.936 -2.527 2.338\n", "==============================================================================\n", "Omnibus: 1.316 Durbin-Watson: 1.433\n", "Prob(Omnibus): 0.518 Jarque-Bera (JB): 0.844\n", "Skew: 0.439 Prob(JB): 0.656\n", "Kurtosis: 2.914 Cond. No. 106.\n", "==============================================================================\n", "\n", "Warnings:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\dassu\\Anaconda3\\lib\\site-packages\\numpy\\core\\fromnumeric.py:2389: FutureWarning:\n", "\n", "Method .ptp is deprecated and will be removed in a future version. Use numpy.ptp instead.\n", "\n" ] } ], "source": [ "# with statsmodels\n", "x = sm.add_constant(X) # adding a constant\n", " \n", "model = sm.OLS(y, X).fit()\n", "predictions = model.predict(X) \n", " \n", "print_model = model.summary()\n", "print(print_model)" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Standardized features\n", "\n", "[[ 0.72416408 0.42621373 0.93738177 0.10850488 -0.78037713 0.69378465]\n", " [ 0.92705322 -0.27048179 0.72490856 1.11060812 -0.05793642 0.31756979]\n", " [-1.20655515 -0.35010414 -1.89559424 -1.40574045 2.03939145 -1.8456658 ]\n", " [-0.31646086 0.92385339 0.25569692 -1.2255203 -0.2629196 -0.13388837]]\n" ] } ], "source": [ "from sklearn.preprocessing import StandardScaler\n", "\n", "scaler = StandardScaler()\n", "\n", "scaler.fit(X_train)\n", "X_train = scaler.transform(X_train)\n", "X_test = scaler.transform(X_test)\n", "print('Standardized features\\n')\n", "print(str(X_train[:4]))" ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [], "source": [ "from sklearn.linear_model import LinearRegression\n", "lm = LinearRegression()\n", "lm.fit(X_train, y_train)\n", "y_pred = lm.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ActualPredictDiff
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" ], "text/plain": [ " Actual Predict Diff\n", "8 7.054 6.758317 0.295683\n", "16 6.149 6.723184 -0.574184\n", "0 7.600 7.168984 0.431016\n", "24 4.722 3.883544 0.838456\n", "11 6.892 7.855705 -0.963705" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result_lm = pd.DataFrame({\n", " 'Actual':y_test,\n", " 'Predict':y_pred\n", "})\n", "result_lm['Diff'] = y_test - y_pred\n", "result_lm.head()" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.regplot(x='Actual',y='Predict',data=result_lm)" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MAE: 0.6507377025555376\n", "MSE: 0.5072215963731953\n", "RMSE: 0.7121949145937475\n" ] } ], "source": [ "from sklearn import metrics\n", "print('MAE:', metrics.mean_absolute_error(y_test, y_pred))\n", "print('MSE:', metrics.mean_squared_error(y_test, y_pred))\n", "print('RMSE:', np.sqrt(metrics.mean_squared_error(y_test, y_pred)))" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\dassu\\Anaconda3\\lib\\site-packages\\sklearn\\ensemble\\forest.py:245: FutureWarning:\n", "\n", "The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n", "\n" ] } ], "source": [ "from sklearn.ensemble import RandomForestRegressor\n", "rf = RandomForestRegressor()\n", "rf.fit(X_train,y_train)\n", "y_pred = rf.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ActualPredictDiff
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" ], "text/plain": [ " Actual Predict Diff\n", "8 7.054 6.6165 0.4375\n", "16 6.149 5.9369 0.2121\n", "0 7.600 7.2632 0.3368\n", "24 4.722 6.0171 -1.2951\n", "11 6.892 6.8070 0.0850" ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result_rf = pd.DataFrame({\n", " 'Actual':y_test,\n", " 'Predict':y_pred\n", "})\n", "result_rf['Diff'] = y_test - y_pred\n", "result_rf.head()" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure (figsize = (16, 8))\n", "sns.pointplot(x='Actual',y='Predict',data=result_rf, dodge = True, color=\"#bb3f3f\")\n", "plt.xticks(rotation = 90)\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": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 2 }