{ "metadata": { "name": "", "signature": "sha256:aedd7fdf9fbe39328e0b0c1093fb2872e62db2ec9bb7a30d8a84c29e3152db3d" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Tutorial Brief" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is an a review of how to use IPython Notebooks." ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Data Sources" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- http://en.wikipedia.org/wiki/List_of_constituencies_of_the_Lok_Sabha\n", "- http://eci.nic.in/eci_main1/GE2014/ge.html\n", "- http://eci.nic.in/eci/eci.html\n", "- http://eci.nic.in/eci_main1/current/ImpIns04042014.pdf\n", "- http://eci.nic.in/eci_main1/GE2014/PC_WISE_TURNOUT.htm" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Loading the data using Pandas" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import pandas as pd\n", "#This line is to make float division the default. For int division use //\n", "from __future__ import division" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "path = \"data/2014_indian_election_turnout.csv\"\n", "csv_data = pd.read_csv(path)\n", "csv_data" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StatePC NameMale ElectorsMale VotersFemale ElectorsFemale VotersTotal ElectorsTotal Voters
0 Andaman & Nicobar Islands 1 - Andaman & Nicobar Islands 142782 101178 126578 89150 269360 190328
1 Andhra Pradesh 1 - Adilabad 687389 519364 698844 526475 1386233 1045839
2 Andhra Pradesh 2 - Peddapalle 725767 520598 699594 501586 1425361 1022184
3 Andhra Pradesh 3 - Karimnagar 777458 552489 773376 573202 1550834 1125691
4 Andhra Pradesh 4 - Nizamabad 724504 469712 771689 564212 1496193 1033924
5 Andhra Pradesh 5 - Zahirabad 717811 546746 727435 548060 1445246 1094806
6 Andhra Pradesh 6 - Medak 775903 606863 760812 584233 1536715 1191096
7 Andhra Pradesh 7 - Malkajgiri 1723413 878093 1459912 742304 3183325 1620397
8 Andhra Pradesh 8 - Secundrabad 1012378 545749 881269 458020 1893647 1003769
9 Andhra Pradesh 9 - Hyderabad 961290 526510 862374 444911 1823664 971421
10 Andhra Pradesh 10 - CHELVELLA 1153049 696749 1032130 619113 2185179 1315862
11 Andhra Pradesh 11 - Mahbubnagar 709711 511764 708961 503036 1418672 1014800
12 Andhra Pradesh 12 - Nagarkurnool 745038 570342 732300 538626 1477338 1108968
13 Andhra Pradesh 13 - Nalgonda 747281 602193 748299 587206 1495580 1189399
14 Andhra Pradesh 14 - Bhongir 756963 622333 735288 589610 1492251 1211943
15 Andhra Pradesh 15 - Warangal 771756 592484 766025 582147 1537781 1174631
16 Andhra Pradesh 16 - Mahabubabad 688398 562073 698945 562297 1387343 1124370
17 Andhra Pradesh 17 - Khammam 712329 588728 727960 594169 1440289 1182897
18 Andhra Pradesh 18 - Aruku 622416 451350 650308 458264 1272724 909614
19 Andhra Pradesh 19 - Srikakulam 706828 505010 707161 546436 1413989 1051446
20 Andhra Pradesh 20 - Vizianagaram 700837 555005 703290 565311 1404127 1120316
21 Andhra Pradesh 21 - Visakhapatnam 875187 585270 847850 578288 1723037 1163558
22 Andhra Pradesh 22 - Anakapalli 689132 563818 712342 584254 1401474 1148072
23 Andhra Pradesh 23 - Kakinada 709101 558689 709189 541310 1418290 1099999
24 Andhra Pradesh 24 - Amalapuram 682607 568534 675259 552393 1357866 1120927
25 Andhra Pradesh 25 - Rajahmundry 701707 577999 719581 576382 1421288 1154381
26 Andhra Pradesh 26 - Narsapuram 652668 539357 672475 549594 1325143 1088951
27 Andhra Pradesh 27 - Eluru 706916 597603 720844 604093 1427760 1201696
28 Andhra Pradesh 28 - Machilipatnam 675774 567908 693537 573157 1369311 1141065
29 Andhra Pradesh 29 - Vijayawada 781156 602198 783357 592877 1564513 1195075
30 Andhra Pradesh 30 - Guntur 773027 617483 798989 627443 1572016 1244926
31 Andhra Pradesh 31 - Narasaraopet 748465 638080 766396 643978 1514861 1282058
32 Andhra Pradesh 32 - Bapatla 686482 587223 706483 597411 1392965 1184634
33 Andhra Pradesh 33 - Ongole 736245 603025 734238 605200 1470483 1208225
34 Andhra Pradesh 34 - Nandyal 783266 603562 793862 601394 1577128 1204956
35 Andhra Pradesh 35 - Kurnool 738791 544802 743016 520930 1481807 1065732
36 Andhra Pradesh 36 - Anantapur 775509 612890 761403 592164 1536912 1205054
37 Andhra Pradesh 37 - Hindupur 734638 601932 711865 575325 1446503 1177257
38 Andhra Pradesh 38 - Kadapa 765036 588805 785543 611857 1550579 1200662
39 Andhra Pradesh 39 - Nellore 796583 593468 809557 594180 1606140 1187648
40 Andhra Pradesh 40 - Tirupati 778778 604834 795766 608230 1574544 1213064
41 Andhra Pradesh 41 - Rajampet 735347 573019 752151 585298 1487498 1158317
42 Andhra Pradesh 42 - Chittoor 723996 598259 728145 600656 1452141 1198915
43 Arunachal Pradesh 1 - ARUNACHAL WEST 219334 159978 227181 175687 446515 335665
44 Arunachal Pradesh 2 - ARUNACHAL EAST 160293 129313 152579 131978 312872 261291
45 Assam 1 - Karimganj 615198 482484 550799 404436 1165997 886920
46 Assam 2 - Silchar 554540 428949 505635 370881 1060175 799830
47 Assam 3 - Autonomous District 358880 279409 343010 263871 701890 543280
48 Assam 4 - Dhubri 798124 709191 754430 660433 1552554 1369624
49 Assam 5 - Kokrajhar 776071 636657 729405 587212 1505476 1223869
50 Assam 6 - Barpeta 755559 634405 674616 571458 1430175 1205863
51 Assam 7 - Gauhati 988067 785494 934203 726235 1922270 1511729
52 Assam 8 - Mangaldoi 791539 651272 724137 581965 1515676 1233237
53 Assam 9 - Tezpur 654866 505643 604702 475045 1259568 980688
54 Assam 10 - Nowgong 792424 639392 731457 590682 1523881 1230074
55 Assam 11 - Kaliabor 752785 605292 705080 561198 1457865 1166490
56 Assam 12 - Jorhat 634236 483829 600212 447507 1234448 931336
57 Assam 13 - Dibrugarh 579657 462412 544648 428556 1124305 890968
58 Assam 14 - Lakhimpur 735263 572334 695731 539641 1430994 1111975
59 Bihar 1 - Valmiki Nagar 786297 484621 670279 415493 1456576 900114
........................
\n", "

543 rows \u00d7 8 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 2, "text": [ " State PC Name Male Electors \\\n", "0 Andaman & Nicobar Islands 1 - Andaman & Nicobar Islands 142782 \n", "1 Andhra Pradesh 1 - Adilabad 687389 \n", "2 Andhra Pradesh 2 - Peddapalle 725767 \n", "3 Andhra Pradesh 3 - Karimnagar 777458 \n", "4 Andhra Pradesh 4 - Nizamabad 724504 \n", "5 Andhra Pradesh 5 - Zahirabad 717811 \n", "6 Andhra Pradesh 6 - Medak 775903 \n", "7 Andhra Pradesh 7 - Malkajgiri 1723413 \n", "8 Andhra Pradesh 8 - Secundrabad 1012378 \n", "9 Andhra Pradesh 9 - Hyderabad 961290 \n", "10 Andhra Pradesh 10 - CHELVELLA 1153049 \n", "11 Andhra Pradesh 11 - Mahbubnagar 709711 \n", "12 Andhra Pradesh 12 - Nagarkurnool 745038 \n", "13 Andhra Pradesh 13 - Nalgonda 747281 \n", "14 Andhra Pradesh 14 - Bhongir 756963 \n", "15 Andhra Pradesh 15 - Warangal 771756 \n", "16 Andhra Pradesh 16 - Mahabubabad 688398 \n", "17 Andhra Pradesh 17 - Khammam 712329 \n", "18 Andhra Pradesh 18 - Aruku 622416 \n", "19 Andhra Pradesh 19 - Srikakulam 706828 \n", "20 Andhra Pradesh 20 - Vizianagaram 700837 \n", "21 Andhra Pradesh 21 - Visakhapatnam 875187 \n", "22 Andhra Pradesh 22 - Anakapalli 689132 \n", "23 Andhra Pradesh 23 - Kakinada 709101 \n", "24 Andhra Pradesh 24 - Amalapuram 682607 \n", "25 Andhra Pradesh 25 - Rajahmundry 701707 \n", "26 Andhra Pradesh 26 - Narsapuram 652668 \n", "27 Andhra Pradesh 27 - Eluru 706916 \n", "28 Andhra Pradesh 28 - Machilipatnam 675774 \n", "29 Andhra Pradesh 29 - Vijayawada 781156 \n", "30 Andhra Pradesh 30 - Guntur 773027 \n", "31 Andhra Pradesh 31 - Narasaraopet 748465 \n", "32 Andhra Pradesh 32 - Bapatla 686482 \n", "33 Andhra Pradesh 33 - Ongole 736245 \n", "34 Andhra Pradesh 34 - Nandyal 783266 \n", "35 Andhra Pradesh 35 - Kurnool 738791 \n", "36 Andhra Pradesh 36 - Anantapur 775509 \n", "37 Andhra Pradesh 37 - Hindupur 734638 \n", "38 Andhra Pradesh 38 - Kadapa 765036 \n", "39 Andhra Pradesh 39 - Nellore 796583 \n", "40 Andhra Pradesh 40 - Tirupati 778778 \n", "41 Andhra Pradesh 41 - Rajampet 735347 \n", "42 Andhra Pradesh 42 - Chittoor 723996 \n", "43 Arunachal Pradesh 1 - ARUNACHAL WEST 219334 \n", "44 Arunachal Pradesh 2 - ARUNACHAL EAST 160293 \n", "45 Assam 1 - Karimganj 615198 \n", "46 Assam 2 - Silchar 554540 \n", "47 Assam 3 - Autonomous District 358880 \n", "48 Assam 4 - Dhubri 798124 \n", "49 Assam 5 - Kokrajhar 776071 \n", "50 Assam 6 - Barpeta 755559 \n", "51 Assam 7 - Gauhati 988067 \n", "52 Assam 8 - Mangaldoi 791539 \n", "53 Assam 9 - Tezpur 654866 \n", "54 Assam 10 - Nowgong 792424 \n", "55 Assam 11 - Kaliabor 752785 \n", "56 Assam 12 - Jorhat 634236 \n", "57 Assam 13 - Dibrugarh 579657 \n", "58 Assam 14 - Lakhimpur 735263 \n", "59 Bihar 1 - Valmiki Nagar 786297 \n", " ... ... ... \n", "\n", " Male Voters Female Electors Female Voters Total Electors Total Voters \n", "0 101178 126578 89150 269360 190328 \n", "1 519364 698844 526475 1386233 1045839 \n", "2 520598 699594 501586 1425361 1022184 \n", "3 552489 773376 573202 1550834 1125691 \n", "4 469712 771689 564212 1496193 1033924 \n", "5 546746 727435 548060 1445246 1094806 \n", "6 606863 760812 584233 1536715 1191096 \n", "7 878093 1459912 742304 3183325 1620397 \n", "8 545749 881269 458020 1893647 1003769 \n", "9 526510 862374 444911 1823664 971421 \n", "10 696749 1032130 619113 2185179 1315862 \n", "11 511764 708961 503036 1418672 1014800 \n", "12 570342 732300 538626 1477338 1108968 \n", "13 602193 748299 587206 1495580 1189399 \n", "14 622333 735288 589610 1492251 1211943 \n", "15 592484 766025 582147 1537781 1174631 \n", "16 562073 698945 562297 1387343 1124370 \n", "17 588728 727960 594169 1440289 1182897 \n", "18 451350 650308 458264 1272724 909614 \n", "19 505010 707161 546436 1413989 1051446 \n", "20 555005 703290 565311 1404127 1120316 \n", "21 585270 847850 578288 1723037 1163558 \n", "22 563818 712342 584254 1401474 1148072 \n", "23 558689 709189 541310 1418290 1099999 \n", "24 568534 675259 552393 1357866 1120927 \n", "25 577999 719581 576382 1421288 1154381 \n", "26 539357 672475 549594 1325143 1088951 \n", "27 597603 720844 604093 1427760 1201696 \n", "28 567908 693537 573157 1369311 1141065 \n", "29 602198 783357 592877 1564513 1195075 \n", "30 617483 798989 627443 1572016 1244926 \n", "31 638080 766396 643978 1514861 1282058 \n", "32 587223 706483 597411 1392965 1184634 \n", "33 603025 734238 605200 1470483 1208225 \n", "34 603562 793862 601394 1577128 1204956 \n", "35 544802 743016 520930 1481807 1065732 \n", "36 612890 761403 592164 1536912 1205054 \n", "37 601932 711865 575325 1446503 1177257 \n", "38 588805 785543 611857 1550579 1200662 \n", "39 593468 809557 594180 1606140 1187648 \n", "40 604834 795766 608230 1574544 1213064 \n", "41 573019 752151 585298 1487498 1158317 \n", "42 598259 728145 600656 1452141 1198915 \n", "43 159978 227181 175687 446515 335665 \n", "44 129313 152579 131978 312872 261291 \n", "45 482484 550799 404436 1165997 886920 \n", "46 428949 505635 370881 1060175 799830 \n", "47 279409 343010 263871 701890 543280 \n", "48 709191 754430 660433 1552554 1369624 \n", "49 636657 729405 587212 1505476 1223869 \n", "50 634405 674616 571458 1430175 1205863 \n", "51 785494 934203 726235 1922270 1511729 \n", "52 651272 724137 581965 1515676 1233237 \n", "53 505643 604702 475045 1259568 980688 \n", "54 639392 731457 590682 1523881 1230074 \n", "55 605292 705080 561198 1457865 1166490 \n", "56 483829 600212 447507 1234448 931336 \n", "57 462412 544648 428556 1124305 890968 \n", "58 572334 695731 539641 1430994 1111975 \n", "59 484621 670279 415493 1456576 900114 \n", " ... ... ... ... ... \n", "\n", "[543 rows x 8 columns]" ] } ], "prompt_number": 2 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Understanding the data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- **State**: State Name.\n", "- **PC Name**: Parliamentary Constituencies Names.\n", "- **Male Electors**: The number of elegeble male voters.\n", "- **Male Voters**: The number of male voters turnout.\n", "- **Female Electors**: The number of elegeble female voters.\n", "- **Female Voters**: The number of female voters turnout.\n", "- **Total Electors**: The number of elegeble voters.\n", "- **Total Voters**: The number of voters turnout." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![](http://upload.wikimedia.org/wikipedia/commons/3/3a/Lok_Sabha_constituencies_of_India.png)\n", "![](http://upload.wikimedia.org/wikipedia/commons/c/c1/State_and_union_territories_map.png)" ] }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Calculating Turnout" ] }, { "cell_type": "code", "collapsed": false, "input": [ "csv_data[\"Male Turnout\"] = csv_data[\"Male Voters\"] / csv_data[\"Male Electors\"]\n", "csv_data[\"Female Turnout\"] = csv_data[\"Female Voters\"] / csv_data[\"Female Electors\"]\n", "csv_data[\"Total Turnout\"] = csv_data[\"Total Voters\"] / csv_data[\"Total Electors\"]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Statistical Analysis of Turnout" ] }, { "cell_type": "code", "collapsed": false, "input": [ "csv_data.describe()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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Male ElectorsMale VotersFemale ElectorsFemale VotersTotal ElectorsTotal VotersMale TurnoutFemale TurnoutTotal Turnout
count 543.000000 543.000000 543.000000 543.000000 543.000000 543.000000 543.000000 543.000000 543.000000
mean 804883.127072 540030.900552 731215.360958 479861.918969 1536098.488029 1019892.819521 0.680646 0.663664 0.672688
std 165950.096614 105316.219120 127159.414206 96137.678162 288064.231735 192716.272135 0.100641 0.111115 0.102917
min 25433.000000 21585.000000 24489.000000 21654.000000 49922.000000 43239.000000 0.283097 0.232644 0.259047
25% 728644.000000 491359.000000 691996.500000 430761.500000 1425052.000000 940426.500000 0.608490 0.578545 0.592252
50% 814968.000000 549484.000000 740045.000000 484001.000000 1555779.000000 1033783.000000 0.680857 0.656567 0.667207
75% 899919.500000 597803.000000 791426.500000 540898.000000 1692364.500000 1129424.500000 0.763453 0.756988 0.755237
max 1723413.000000 878093.000000 1459912.000000 742304.000000 3183325.000000 1620397.000000 0.888572 0.892712 0.882175
\n", "

8 rows \u00d7 9 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 4, "text": [ " Male Electors Male Voters Female Electors Female Voters \\\n", "count 543.000000 543.000000 543.000000 543.000000 \n", "mean 804883.127072 540030.900552 731215.360958 479861.918969 \n", "std 165950.096614 105316.219120 127159.414206 96137.678162 \n", "min 25433.000000 21585.000000 24489.000000 21654.000000 \n", "25% 728644.000000 491359.000000 691996.500000 430761.500000 \n", "50% 814968.000000 549484.000000 740045.000000 484001.000000 \n", "75% 899919.500000 597803.000000 791426.500000 540898.000000 \n", "max 1723413.000000 878093.000000 1459912.000000 742304.000000 \n", "\n", " Total Electors Total Voters Male Turnout Female Turnout \\\n", "count 543.000000 543.000000 543.000000 543.000000 \n", "mean 1536098.488029 1019892.819521 0.680646 0.663664 \n", "std 288064.231735 192716.272135 0.100641 0.111115 \n", "min 49922.000000 43239.000000 0.283097 0.232644 \n", "25% 1425052.000000 940426.500000 0.608490 0.578545 \n", "50% 1555779.000000 1033783.000000 0.680857 0.656567 \n", "75% 1692364.500000 1129424.500000 0.763453 0.756988 \n", "max 3183325.000000 1620397.000000 0.888572 0.892712 \n", "\n", " Total Turnout \n", "count 543.000000 \n", "mean 0.672688 \n", "std 0.102917 \n", "min 0.259047 \n", "25% 0.592252 \n", "50% 0.667207 \n", "75% 0.755237 \n", "max 0.882175 \n", "\n", "[8 rows x 9 columns]" ] } ], "prompt_number": 4 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Quick Facts" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Total Electors" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print '{0:,}'.format(csv_data[\"Total Electors\"].sum())" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "834,101,479\n" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Gender Ration (Men to Women)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print '%.2f%%' % (csv_data[\"Female Electors\"].sum() / csv_data[\"Male Electors\"].sum()*100)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "90.85%\n" ] } ], "prompt_number": 6 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Total Voters" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print '{0:,}'.format(csv_data[\"Total Voters\"].sum())" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "553,801,801\n" ] } ], "prompt_number": 7 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Total Turnout" ] }, { "cell_type": "code", "collapsed": false, "input": [ "print '%.2f%%' % (csv_data[\"Total Voters\"].sum() / csv_data[\"Total Electors\"].sum() * 100)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "66.40%\n" ] } ], "prompt_number": 8 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Analyzing States" ] }, { "cell_type": "code", "collapsed": false, "input": [ "states = pd.DataFrame(csv_data[\"State\"].unique(), columns=[\"State\"])\n", "print \"The number of states: %s\" % len(states)\n", "states" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "The number of states: 35\n" ] }, { "html": [ "
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State
0 Andaman & Nicobar Islands
1 Andhra Pradesh
2 Arunachal Pradesh
3 Assam
4 Bihar
5 Chandigarh
6 Chattisgarh
7 Dadra & Nagar Haveli
8 Daman & Diu
9 Goa
10 Gujarat
11 Haryana
12 Himachal Pradesh
13 Jammu & Kashmir
14 Jharkhand
15 Karnataka
16 Kerala
17 Lakshadweep
18 Madhya Pradesh
19 Maharashtra
20 Manipur
21 Meghalaya
22 Mizoram
23 Nagaland
24 NCT OF Delhi
25 Orissa
26 Puducherry
27 Punjab
28 Rajasthan
29 Sikkim
30 Tamil Nadu
31 Tripura
32 Uttar Pradesh
33 Uttarakhand
34 West Bengal
\n", "

35 rows \u00d7 1 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 9, "text": [ " State\n", "0 Andaman & Nicobar Islands\n", "1 Andhra Pradesh\n", "2 Arunachal Pradesh\n", "3 Assam\n", "4 Bihar\n", "5 Chandigarh\n", "6 Chattisgarh\n", "7 Dadra & Nagar Haveli\n", "8 Daman & Diu\n", "9 Goa\n", "10 Gujarat\n", "11 Haryana\n", "12 Himachal Pradesh\n", "13 Jammu & Kashmir\n", "14 Jharkhand\n", "15 Karnataka\n", "16 Kerala\n", "17 Lakshadweep\n", "18 Madhya Pradesh\n", "19 Maharashtra\n", "20 Manipur\n", "21 Meghalaya\n", "22 Mizoram\n", "23 Nagaland\n", "24 NCT OF Delhi\n", "25 Orissa\n", "26 Puducherry\n", "27 Punjab\n", "28 Rajasthan\n", "29 Sikkim\n", "30 Tamil Nadu\n", "31 Tripura\n", "32 Uttar Pradesh\n", "33 Uttarakhand\n", "34 West Bengal\n", "\n", "[35 rows x 1 columns]" ] } ], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "# Calculating constituencies\n", "seats = csv_data[\"State\"].value_counts()\n", "states[\"Seats\"] = seats.sort_index().values\n", "states.sort(\"Seats\", ascending=False)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StateSeats
32 Uttar Pradesh 80
19 Maharashtra 48
34 West Bengal 42
1 Andhra Pradesh 42
4 Bihar 40
30 Tamil Nadu 39
18 Madhya Pradesh 29
15 Karnataka 28
10 Gujarat 26
28 Rajasthan 25
25 Orissa 21
16 Kerala 20
3 Assam 14
14 Jharkhand 14
27 Punjab 13
6 Chattisgarh 11
11 Haryana 10
23 Nagaland 7
13 Jammu & Kashmir 6
33 Uttarakhand 5
12 Himachal Pradesh 4
9 Goa 2
21 Meghalaya 2
20 Manipur 2
2 Arunachal Pradesh 2
31 Tripura 2
5 Chandigarh 1
17 Lakshadweep 1
7 Dadra & Nagar Haveli 1
8 Daman & Diu 1
22 Mizoram 1
24 NCT OF Delhi 1
26 Puducherry 1
29 Sikkim 1
0 Andaman & Nicobar Islands 1
\n", "

35 rows \u00d7 2 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 10, "text": [ " State Seats\n", "32 Uttar Pradesh 80\n", "19 Maharashtra 48\n", "34 West Bengal 42\n", "1 Andhra Pradesh 42\n", "4 Bihar 40\n", "30 Tamil Nadu 39\n", "18 Madhya Pradesh 29\n", "15 Karnataka 28\n", "10 Gujarat 26\n", "28 Rajasthan 25\n", "25 Orissa 21\n", "16 Kerala 20\n", "3 Assam 14\n", "14 Jharkhand 14\n", "27 Punjab 13\n", "6 Chattisgarh 11\n", "11 Haryana 10\n", "23 Nagaland 7\n", "13 Jammu & Kashmir 6\n", "33 Uttarakhand 5\n", "12 Himachal Pradesh 4\n", "9 Goa 2\n", "21 Meghalaya 2\n", "20 Manipur 2\n", "2 Arunachal Pradesh 2\n", "31 Tripura 2\n", "5 Chandigarh 1\n", "17 Lakshadweep 1\n", "7 Dadra & Nagar Haveli 1\n", "8 Daman & Diu 1\n", "22 Mizoram 1\n", "24 NCT OF Delhi 1\n", "26 Puducherry 1\n", "29 Sikkim 1\n", "0 Andaman & Nicobar Islands 1\n", "\n", "[35 rows x 2 columns]" ] } ], "prompt_number": 10 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Calculating Total States Electors and Voters" ] }, { "cell_type": "code", "collapsed": false, "input": [ "total_electors = pd.pivot_table(csv_data, values=\"Total Electors\", rows=[\"State\"], aggfunc=\"sum\")\n", "total_votes = pd.pivot_table(csv_data, values=\"Total Voters\", rows=[\"State\"], aggfunc=\"sum\")\n", "states[\"Total Electors\"] = total_electors.sort_index().values\n", "states[\"Total Voters\"] = total_votes.sort_index().values\n", "states.sort(\"Total Electors\", ascending=False)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StateSeatsTotal ElectorsTotal Voters
32 Uttar Pradesh 80 138965820 81092302
19 Maharashtra 48 80717283 48718844
1 Andhra Pradesh 42 64938750 48358545
4 Bihar 40 63761796 35885366
34 West Bengal 42 62833128 51622555
30 Tamil Nadu 39 55114505 40620440
18 Madhya Pradesh 29 48118040 29639796
15 Karnataka 28 46212109 31038888
28 Rajasthan 25 42969447 27110044
10 Gujarat 26 40603104 25824003
25 Orissa 21 29196041 21532275
16 Kerala 20 24326649 17975893
14 Jharkhand 14 20326743 12982940
27 Punjab 13 19608008 13845132
3 Assam 14 18885274 15085883
6 Chattisgarh 11 17623049 12255579
11 Haryana 10 16097749 11495150
23 Nagaland 7 12711236 8271766
13 Jammu & Kashmir 6 7202163 3566863
33 Uttarakhand 5 7129939 4391890
12 Himachal Pradesh 4 4810071 3098501
31 Tripura 2 2388819 2023859
20 Manipur 2 1774325 1412637
21 Meghalaya 2 1567241 1078058
24 NCT OF Delhi 1 1182948 1038910
9 Goa 2 1060777 817000
26 Puducherry 1 901357 740017
2 Arunachal Pradesh 2 759387 596956
22 Mizoram 1 702170 433201
5 Chandigarh 1 615214 453455
29 Sikkim 1 370611 308967
0 Andaman & Nicobar Islands 1 269360 190328
7 Dadra & Nagar Haveli 1 196617 165286
8 Daman & Diu 1 111827 87233
17 Lakshadweep 1 49922 43239
\n", "

35 rows \u00d7 4 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 11, "text": [ " State Seats Total Electors Total Voters\n", "32 Uttar Pradesh 80 138965820 81092302\n", "19 Maharashtra 48 80717283 48718844\n", "1 Andhra Pradesh 42 64938750 48358545\n", "4 Bihar 40 63761796 35885366\n", "34 West Bengal 42 62833128 51622555\n", "30 Tamil Nadu 39 55114505 40620440\n", "18 Madhya Pradesh 29 48118040 29639796\n", "15 Karnataka 28 46212109 31038888\n", "28 Rajasthan 25 42969447 27110044\n", "10 Gujarat 26 40603104 25824003\n", "25 Orissa 21 29196041 21532275\n", "16 Kerala 20 24326649 17975893\n", "14 Jharkhand 14 20326743 12982940\n", "27 Punjab 13 19608008 13845132\n", "3 Assam 14 18885274 15085883\n", "6 Chattisgarh 11 17623049 12255579\n", "11 Haryana 10 16097749 11495150\n", "23 Nagaland 7 12711236 8271766\n", "13 Jammu & Kashmir 6 7202163 3566863\n", "33 Uttarakhand 5 7129939 4391890\n", "12 Himachal Pradesh 4 4810071 3098501\n", "31 Tripura 2 2388819 2023859\n", "20 Manipur 2 1774325 1412637\n", "21 Meghalaya 2 1567241 1078058\n", "24 NCT OF Delhi 1 1182948 1038910\n", "9 Goa 2 1060777 817000\n", "26 Puducherry 1 901357 740017\n", "2 Arunachal Pradesh 2 759387 596956\n", "22 Mizoram 1 702170 433201\n", "5 Chandigarh 1 615214 453455\n", "29 Sikkim 1 370611 308967\n", "0 Andaman & Nicobar Islands 1 269360 190328\n", "7 Dadra & Nagar Haveli 1 196617 165286\n", "8 Daman & Diu 1 111827 87233\n", "17 Lakshadweep 1 49922 43239\n", "\n", "[35 rows x 4 columns]" ] } ], "prompt_number": 11 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Calculating State Turnout" ] }, { "cell_type": "code", "collapsed": false, "input": [ "states[\"Turnout\"] = states[\"Total Voters\"] / states[\"Total Electors\"]\n", "states.sort(\"Turnout\", ascending=False)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StateSeatsTotal ElectorsTotal VotersTurnout
24 NCT OF Delhi 1 1182948 1038910 0.878238
17 Lakshadweep 1 49922 43239 0.866131
31 Tripura 2 2388819 2023859 0.847222
7 Dadra & Nagar Haveli 1 196617 165286 0.840650
29 Sikkim 1 370611 308967 0.833669
34 West Bengal 42 62833128 51622555 0.821582
26 Puducherry 1 901357 740017 0.821003
3 Assam 14 18885274 15085883 0.798817
20 Manipur 2 1774325 1412637 0.796155
2 Arunachal Pradesh 2 759387 596956 0.786102
8 Daman & Diu 1 111827 87233 0.780071
9 Goa 2 1060777 817000 0.770190
1 Andhra Pradesh 42 64938750 48358545 0.744679
16 Kerala 20 24326649 17975893 0.738938
25 Orissa 21 29196041 21532275 0.737507
5 Chandigarh 1 615214 453455 0.737069
30 Tamil Nadu 39 55114505 40620440 0.737019
11 Haryana 10 16097749 11495150 0.714084
0 Andaman & Nicobar Islands 1 269360 190328 0.706593
27 Punjab 13 19608008 13845132 0.706096
6 Chattisgarh 11 17623049 12255579 0.695429
21 Meghalaya 2 1567241 1078058 0.687870
15 Karnataka 28 46212109 31038888 0.671661
23 Nagaland 7 12711236 8271766 0.650744
12 Himachal Pradesh 4 4810071 3098501 0.644169
14 Jharkhand 14 20326743 12982940 0.638712
10 Gujarat 26 40603104 25824003 0.636011
28 Rajasthan 25 42969447 27110044 0.630914
22 Mizoram 1 702170 433201 0.616946
18 Madhya Pradesh 29 48118040 29639796 0.615981
33 Uttarakhand 5 7129939 4391890 0.615979
19 Maharashtra 48 80717283 48718844 0.603574
32 Uttar Pradesh 80 138965820 81092302 0.583541
4 Bihar 40 63761796 35885366 0.562804
13 Jammu & Kashmir 6 7202163 3566863 0.495249
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35 rows \u00d7 5 columns

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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 12, "text": [ " State Seats Total Electors Total Voters Turnout\n", "24 NCT OF Delhi 1 1182948 1038910 0.878238\n", "17 Lakshadweep 1 49922 43239 0.866131\n", "31 Tripura 2 2388819 2023859 0.847222\n", "7 Dadra & Nagar Haveli 1 196617 165286 0.840650\n", "29 Sikkim 1 370611 308967 0.833669\n", "34 West Bengal 42 62833128 51622555 0.821582\n", "26 Puducherry 1 901357 740017 0.821003\n", "3 Assam 14 18885274 15085883 0.798817\n", "20 Manipur 2 1774325 1412637 0.796155\n", "2 Arunachal Pradesh 2 759387 596956 0.786102\n", "8 Daman & Diu 1 111827 87233 0.780071\n", "9 Goa 2 1060777 817000 0.770190\n", "1 Andhra Pradesh 42 64938750 48358545 0.744679\n", "16 Kerala 20 24326649 17975893 0.738938\n", "25 Orissa 21 29196041 21532275 0.737507\n", "5 Chandigarh 1 615214 453455 0.737069\n", "30 Tamil Nadu 39 55114505 40620440 0.737019\n", "11 Haryana 10 16097749 11495150 0.714084\n", "0 Andaman & Nicobar Islands 1 269360 190328 0.706593\n", "27 Punjab 13 19608008 13845132 0.706096\n", "6 Chattisgarh 11 17623049 12255579 0.695429\n", "21 Meghalaya 2 1567241 1078058 0.687870\n", "15 Karnataka 28 46212109 31038888 0.671661\n", "23 Nagaland 7 12711236 8271766 0.650744\n", "12 Himachal Pradesh 4 4810071 3098501 0.644169\n", "14 Jharkhand 14 20326743 12982940 0.638712\n", "10 Gujarat 26 40603104 25824003 0.636011\n", "28 Rajasthan 25 42969447 27110044 0.630914\n", "22 Mizoram 1 702170 433201 0.616946\n", "18 Madhya Pradesh 29 48118040 29639796 0.615981\n", "33 Uttarakhand 5 7129939 4391890 0.615979\n", "19 Maharashtra 48 80717283 48718844 0.603574\n", "32 Uttar Pradesh 80 138965820 81092302 0.583541\n", "4 Bihar 40 63761796 35885366 0.562804\n", "13 Jammu & Kashmir 6 7202163 3566863 0.495249\n", "\n", "[35 rows x 5 columns]" ] } ], "prompt_number": 12 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Calculating Electors Per Seat" ] }, { "cell_type": "code", "collapsed": false, "input": [ "states[\"Electors Per Seat\"] = states[\"Total Electors\"] / states[\"Seats\"]\n", "states.sort(\"Electors Per Seat\", ascending=False)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StateSeatsTotal ElectorsTotal VotersTurnoutElectors Per Seat
23 Nagaland 7 12711236 8271766 0.650744 1815890.857143
32 Uttar Pradesh 80 138965820 81092302 0.583541 1737072.750000
28 Rajasthan 25 42969447 27110044 0.630914 1718777.880000
19 Maharashtra 48 80717283 48718844 0.603574 1681610.062500
18 Madhya Pradesh 29 48118040 29639796 0.615981 1659242.758621
15 Karnataka 28 46212109 31038888 0.671661 1650432.464286
11 Haryana 10 16097749 11495150 0.714084 1609774.900000
6 Chattisgarh 11 17623049 12255579 0.695429 1602095.363636
4 Bihar 40 63761796 35885366 0.562804 1594044.900000
10 Gujarat 26 40603104 25824003 0.636011 1561657.846154
1 Andhra Pradesh 42 64938750 48358545 0.744679 1546160.714286
27 Punjab 13 19608008 13845132 0.706096 1508308.307692
34 West Bengal 42 62833128 51622555 0.821582 1496026.857143
14 Jharkhand 14 20326743 12982940 0.638712 1451910.214286
33 Uttarakhand 5 7129939 4391890 0.615979 1425987.800000
30 Tamil Nadu 39 55114505 40620440 0.737019 1413192.435897
25 Orissa 21 29196041 21532275 0.737507 1390287.666667
3 Assam 14 18885274 15085883 0.798817 1348948.142857
16 Kerala 20 24326649 17975893 0.738938 1216332.450000
12 Himachal Pradesh 4 4810071 3098501 0.644169 1202517.750000
13 Jammu & Kashmir 6 7202163 3566863 0.495249 1200360.500000
31 Tripura 2 2388819 2023859 0.847222 1194409.500000
24 NCT OF Delhi 1 1182948 1038910 0.878238 1182948.000000
26 Puducherry 1 901357 740017 0.821003 901357.000000
20 Manipur 2 1774325 1412637 0.796155 887162.500000
21 Meghalaya 2 1567241 1078058 0.687870 783620.500000
22 Mizoram 1 702170 433201 0.616946 702170.000000
5 Chandigarh 1 615214 453455 0.737069 615214.000000
9 Goa 2 1060777 817000 0.770190 530388.500000
2 Arunachal Pradesh 2 759387 596956 0.786102 379693.500000
29 Sikkim 1 370611 308967 0.833669 370611.000000
0 Andaman & Nicobar Islands 1 269360 190328 0.706593 269360.000000
7 Dadra & Nagar Haveli 1 196617 165286 0.840650 196617.000000
8 Daman & Diu 1 111827 87233 0.780071 111827.000000
17 Lakshadweep 1 49922 43239 0.866131 49922.000000
\n", "

35 rows \u00d7 6 columns

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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ " State Seats Total Electors Total Voters Turnout \\\n", "23 Nagaland 7 12711236 8271766 0.650744 \n", "32 Uttar Pradesh 80 138965820 81092302 0.583541 \n", "28 Rajasthan 25 42969447 27110044 0.630914 \n", "19 Maharashtra 48 80717283 48718844 0.603574 \n", "18 Madhya Pradesh 29 48118040 29639796 0.615981 \n", "15 Karnataka 28 46212109 31038888 0.671661 \n", "11 Haryana 10 16097749 11495150 0.714084 \n", "6 Chattisgarh 11 17623049 12255579 0.695429 \n", "4 Bihar 40 63761796 35885366 0.562804 \n", "10 Gujarat 26 40603104 25824003 0.636011 \n", "1 Andhra Pradesh 42 64938750 48358545 0.744679 \n", "27 Punjab 13 19608008 13845132 0.706096 \n", "34 West Bengal 42 62833128 51622555 0.821582 \n", "14 Jharkhand 14 20326743 12982940 0.638712 \n", "33 Uttarakhand 5 7129939 4391890 0.615979 \n", "30 Tamil Nadu 39 55114505 40620440 0.737019 \n", "25 Orissa 21 29196041 21532275 0.737507 \n", "3 Assam 14 18885274 15085883 0.798817 \n", "16 Kerala 20 24326649 17975893 0.738938 \n", "12 Himachal Pradesh 4 4810071 3098501 0.644169 \n", "13 Jammu & Kashmir 6 7202163 3566863 0.495249 \n", "31 Tripura 2 2388819 2023859 0.847222 \n", "24 NCT OF Delhi 1 1182948 1038910 0.878238 \n", "26 Puducherry 1 901357 740017 0.821003 \n", "20 Manipur 2 1774325 1412637 0.796155 \n", "21 Meghalaya 2 1567241 1078058 0.687870 \n", "22 Mizoram 1 702170 433201 0.616946 \n", "5 Chandigarh 1 615214 453455 0.737069 \n", "9 Goa 2 1060777 817000 0.770190 \n", "2 Arunachal Pradesh 2 759387 596956 0.786102 \n", "29 Sikkim 1 370611 308967 0.833669 \n", "0 Andaman & Nicobar Islands 1 269360 190328 0.706593 \n", "7 Dadra & Nagar Haveli 1 196617 165286 0.840650 \n", "8 Daman & Diu 1 111827 87233 0.780071 \n", "17 Lakshadweep 1 49922 43239 0.866131 \n", "\n", " Electors Per Seat \n", "23 1815890.857143 \n", "32 1737072.750000 \n", "28 1718777.880000 \n", "19 1681610.062500 \n", "18 1659242.758621 \n", "15 1650432.464286 \n", "11 1609774.900000 \n", "6 1602095.363636 \n", "4 1594044.900000 \n", "10 1561657.846154 \n", "1 1546160.714286 \n", "27 1508308.307692 \n", "34 1496026.857143 \n", "14 1451910.214286 \n", "33 1425987.800000 \n", "30 1413192.435897 \n", "25 1390287.666667 \n", "3 1348948.142857 \n", "16 1216332.450000 \n", "12 1202517.750000 \n", "13 1200360.500000 \n", "31 1194409.500000 \n", "24 1182948.000000 \n", "26 901357.000000 \n", "20 887162.500000 \n", "21 783620.500000 \n", "22 702170.000000 \n", "5 615214.000000 \n", "9 530388.500000 \n", "2 379693.500000 \n", "29 370611.000000 \n", "0 269360.000000 \n", "7 196617.000000 \n", "8 111827.000000 \n", "17 49922.000000 \n", "\n", "[35 rows x 6 columns]" ] } ], "prompt_number": 13 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Reading the Results" ] }, { "cell_type": "code", "collapsed": false, "input": [ "path = \"data/2014_indian_elections_results.csv\"\n", "results_data = pd.read_csv(path, sep=\"\\t\")\n", "results_data" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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Name of State/ UTParliamentary ConstituencyCandidate NameTotal Votes PolledWinner or Not?Party AbbreviationParty Name
0 Andhra Pradesh Adilabad GODAM NAGESH 430847 yes TRS Telangana Rashtra Samithi
1 Andhra Pradesh Adilabad NETHAWATH RAMDAS 41032 no IND Independent
2 Andhra Pradesh Adilabad RAMESH RATHOD 184198 no TDP Telugu Desam
3 Andhra Pradesh Adilabad RATHOD SADASHIV 94420 no BSP Bahujan Samaj Party
4 Andhra Pradesh Adilabad MOSALI CHINNAIAH 8859 no IND Independent
5 Andhra Pradesh Adilabad NARESH 259557 no INC Indian National Congress
6 Andhra Pradesh Adilabad PAWAR KRISHNA 5055 no IND Independent
7 Andhra Pradesh Adilabad BANKA SAHADEV 4787 no IND Independent
8 Andhra Pradesh Adilabad None of the Above 17084 no NOTA None of the Above
9 Andhra Pradesh Peddapalle BALKA SUMAN 565496 yes TRS Telangana Rashtra Samithi
10 Andhra Pradesh Peddapalle None of the Above 5361 no NOTA None of the Above
11 Andhra Pradesh Peddapalle G. VIVEKANAND 274338 no INC Indian National Congress
12 Andhra Pradesh Peddapalle KALVALA SHANKAR 9290 no PPOI Pyramid Party of India
13 Andhra Pradesh Peddapalle MOUTAM RAVINDER 2674 no IND Independent
14 Andhra Pradesh Peddapalle VELTHURU MALLAIAH 45977 no RP(K) Republican Paksha (Khoripa)
15 Andhra Pradesh Peddapalle DR.JANAPATI SARAT BABU 63334 no TDP Telugu Desam
16 Andhra Pradesh Peddapalle KAMILLA JAYA RAO 2742 no IND Independent
17 Andhra Pradesh Peddapalle THALLAPALLI SRINIVAS 3699 no IND Independent
18 Andhra Pradesh Peddapalle VENKATA SWAMY INJAM 3866 no MaSP Mahajana Socialist Party
19 Andhra Pradesh Peddapalle GORRE RAMESH 2361 no IND Independent
20 Andhra Pradesh Peddapalle BUPELLI NARAYANA 7258 no IND Independent
21 Andhra Pradesh Peddapalle BOTHA VENKATA MALLAIAH 2245 no BCUF B. C. United Front
22 Andhra Pradesh Peddapalle JINNA RAMADEVI 9199 no IND Independent
23 Andhra Pradesh Peddapalle J.V. RAJU 3020 no NIP New India Party
24 Andhra Pradesh Peddapalle GADDALA VINAY KUMAR 3266 no IND Independent
25 Andhra Pradesh Peddapalle KALVALA SANJEEV 8609 no RPI Republican Party of India
26 Andhra Pradesh Peddapalle TAGARAM SHANKAR LAL 9449 no BSP Bahujan Samaj Party
27 Andhra Pradesh Karimnagar VINOD KUMAR BOINAPALLY 505783 yes TRS Telangana Rashtra Samithi
28 Andhra Pradesh Karimnagar SRINIVAS REDDY LINGAMPALLY 3865 no IND Independent
29 Andhra Pradesh Karimnagar RANAVENI LAKSHMAN 2062 no NIP New India Party
30 Andhra Pradesh Karimnagar MALLESH YADAV BARLA 2760 no IND Independent
31 Andhra Pradesh Karimnagar REDDI MALLA SRINIVAS 8040 no RPI(A) Republican Party of India (A)
32 Andhra Pradesh Karimnagar BURLA. RAVI 4769 no NCP Nationalist Congress Party
33 Andhra Pradesh Karimnagar KANDEM PRABHAKAR 4731 no IND Independent
34 Andhra Pradesh Karimnagar B. LAXMAN 11333 no BSP Bahujan Samaj Party
35 Andhra Pradesh Karimnagar SHAIK MAHMOOD 39325 no WPOI Welfare Party Of India
36 Andhra Pradesh Karimnagar PONNAM PRABHAKAR 300706 no INC Indian National Congress
37 Andhra Pradesh Karimnagar CHENNAMANENI VIDYA SAGAR RAO 214828 no BJP Bharatiya Janata Party
38 Andhra Pradesh Karimnagar MEESALA RAJI REDDY 3080 no YSRCP Yuvajana Sramika Rythu Congress Party
39 Andhra Pradesh Karimnagar MOHAMMED AMJAD MOHIUDDIN 6720 no IND Independent
40 Andhra Pradesh Karimnagar UPPULETI.LAXMAN 2448 no IND Independent
41 Andhra Pradesh Karimnagar L. PRABHAKAR REDDY 3944 no PPOI Pyramid Party of India
42 Andhra Pradesh Karimnagar PULIKOTA RAMESH 1777 no IND Independent
43 Andhra Pradesh Karimnagar DR.DHARMAIAH VENDAVETLA 3773 no BMUP Bahujan Mukti Party
44 Andhra Pradesh Karimnagar None of the Above 5747 no NOTA None of the Above
45 Andhra Pradesh Nizamabad KALVAKUNTLA KAVITHA 439307 yes TRS Telangana Rashtra Samithi
46 Andhra Pradesh Nizamabad BANJA VEERAPPA 3651 no PPOI Pyramid Party of India
47 Andhra Pradesh Nizamabad CHIRULINGADRULA VENKATESHAM 3091 no IND Independent
48 Andhra Pradesh Nizamabad KANDEM PRABHAKAR 3990 no IND Independent
49 Andhra Pradesh Nizamabad MALIK MOHTASIM KHAN 43814 no WPOI Welfare Party Of India
50 Andhra Pradesh Nizamabad S. CHANDRAIAH 2817 no IND Independent
51 Andhra Pradesh Nizamabad BAGWAN B 8129 no IND Independent
52 Andhra Pradesh Nizamabad ABDUL GANI 4791 no BCUF B. C. United Front
53 Andhra Pradesh Nizamabad ENDALA LAKSHMINARAYANA 225333 no BJP Bharatiya Janata Party
54 Andhra Pradesh Nizamabad ABDUL KAREEM KHAN (BABU) 1601 no IND Independent
55 Andhra Pradesh Nizamabad TALARI RAMULU 7421 no BSP Bahujan Samaj Party
56 Andhra Pradesh Nizamabad SAGAR SUDDALA 1978 no BMUP Bahujan Mukti Party
57 Andhra Pradesh Nizamabad MADHU YASKHI GOUD 272123 no INC Indian National Congress
58 Andhra Pradesh Nizamabad RAPELLY SRINIVAS 2621 no AAAP Aam Aadmi Party
59 Andhra Pradesh Nizamabad KOTAPATI NARSIMHAM NAIDU 2462 no IND Independent
.....................
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8794 rows \u00d7 7 columns

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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 14, "text": [ " Name of State/ UT Parliamentary Constituency Candidate Name \\\n", "0 Andhra Pradesh Adilabad GODAM NAGESH \n", "1 Andhra Pradesh Adilabad NETHAWATH RAMDAS \n", "2 Andhra Pradesh Adilabad RAMESH RATHOD \n", "3 Andhra Pradesh Adilabad RATHOD SADASHIV \n", "4 Andhra Pradesh Adilabad MOSALI CHINNAIAH \n", "5 Andhra Pradesh Adilabad NARESH \n", "6 Andhra Pradesh Adilabad PAWAR KRISHNA \n", "7 Andhra Pradesh Adilabad BANKA SAHADEV \n", "8 Andhra Pradesh Adilabad None of the Above \n", "9 Andhra Pradesh Peddapalle BALKA SUMAN \n", "10 Andhra Pradesh Peddapalle None of the Above \n", "11 Andhra Pradesh Peddapalle G. VIVEKANAND \n", "12 Andhra Pradesh Peddapalle KALVALA SHANKAR \n", "13 Andhra Pradesh Peddapalle MOUTAM RAVINDER \n", "14 Andhra Pradesh Peddapalle VELTHURU MALLAIAH \n", "15 Andhra Pradesh Peddapalle DR.JANAPATI SARAT BABU \n", "16 Andhra Pradesh Peddapalle KAMILLA JAYA RAO \n", "17 Andhra Pradesh Peddapalle THALLAPALLI SRINIVAS \n", "18 Andhra Pradesh Peddapalle VENKATA SWAMY INJAM \n", "19 Andhra Pradesh Peddapalle GORRE RAMESH \n", "20 Andhra Pradesh Peddapalle BUPELLI NARAYANA \n", "21 Andhra Pradesh Peddapalle BOTHA VENKATA MALLAIAH \n", "22 Andhra Pradesh Peddapalle JINNA RAMADEVI \n", "23 Andhra Pradesh Peddapalle J.V. RAJU \n", "24 Andhra Pradesh Peddapalle GADDALA VINAY KUMAR \n", "25 Andhra Pradesh Peddapalle KALVALA SANJEEV \n", "26 Andhra Pradesh Peddapalle TAGARAM SHANKAR LAL \n", "27 Andhra Pradesh Karimnagar VINOD KUMAR BOINAPALLY \n", "28 Andhra Pradesh Karimnagar SRINIVAS REDDY LINGAMPALLY \n", "29 Andhra Pradesh Karimnagar RANAVENI LAKSHMAN \n", "30 Andhra Pradesh Karimnagar MALLESH YADAV BARLA \n", "31 Andhra Pradesh Karimnagar REDDI MALLA SRINIVAS \n", "32 Andhra Pradesh Karimnagar BURLA. RAVI \n", "33 Andhra Pradesh Karimnagar KANDEM PRABHAKAR \n", "34 Andhra Pradesh Karimnagar B. LAXMAN \n", "35 Andhra Pradesh Karimnagar SHAIK MAHMOOD \n", "36 Andhra Pradesh Karimnagar PONNAM PRABHAKAR \n", "37 Andhra Pradesh Karimnagar CHENNAMANENI VIDYA SAGAR RAO \n", "38 Andhra Pradesh Karimnagar MEESALA RAJI REDDY \n", "39 Andhra Pradesh Karimnagar MOHAMMED AMJAD MOHIUDDIN \n", "40 Andhra Pradesh Karimnagar UPPULETI.LAXMAN \n", "41 Andhra Pradesh Karimnagar L. PRABHAKAR REDDY \n", "42 Andhra Pradesh Karimnagar PULIKOTA RAMESH \n", "43 Andhra Pradesh Karimnagar DR.DHARMAIAH VENDAVETLA \n", "44 Andhra Pradesh Karimnagar None of the Above \n", "45 Andhra Pradesh Nizamabad KALVAKUNTLA KAVITHA \n", "46 Andhra Pradesh Nizamabad BANJA VEERAPPA \n", "47 Andhra Pradesh Nizamabad CHIRULINGADRULA VENKATESHAM \n", "48 Andhra Pradesh Nizamabad KANDEM PRABHAKAR \n", "49 Andhra Pradesh Nizamabad MALIK MOHTASIM KHAN \n", "50 Andhra Pradesh Nizamabad S. CHANDRAIAH \n", "51 Andhra Pradesh Nizamabad BAGWAN B \n", "52 Andhra Pradesh Nizamabad ABDUL GANI \n", "53 Andhra Pradesh Nizamabad ENDALA LAKSHMINARAYANA \n", "54 Andhra Pradesh Nizamabad ABDUL KAREEM KHAN (BABU) \n", "55 Andhra Pradesh Nizamabad TALARI RAMULU \n", "56 Andhra Pradesh Nizamabad SAGAR SUDDALA \n", "57 Andhra Pradesh Nizamabad MADHU YASKHI GOUD \n", "58 Andhra Pradesh Nizamabad RAPELLY SRINIVAS \n", "59 Andhra Pradesh Nizamabad KOTAPATI NARSIMHAM NAIDU \n", " ... ... ... \n", "\n", " Total Votes Polled Winner or Not? Party Abbreviation \\\n", "0 430847 yes TRS \n", "1 41032 no IND \n", "2 184198 no TDP \n", "3 94420 no BSP \n", "4 8859 no IND \n", "5 259557 no INC \n", "6 5055 no IND \n", "7 4787 no IND \n", "8 17084 no NOTA \n", "9 565496 yes TRS \n", "10 5361 no NOTA \n", "11 274338 no INC \n", "12 9290 no PPOI \n", "13 2674 no IND \n", "14 45977 no RP(K) \n", "15 63334 no TDP \n", "16 2742 no IND \n", "17 3699 no IND \n", "18 3866 no MaSP \n", "19 2361 no IND \n", "20 7258 no IND \n", "21 2245 no BCUF \n", "22 9199 no IND \n", "23 3020 no NIP \n", "24 3266 no IND \n", "25 8609 no RPI \n", "26 9449 no BSP \n", "27 505783 yes TRS \n", "28 3865 no IND \n", "29 2062 no NIP \n", "30 2760 no IND \n", "31 8040 no RPI(A) \n", "32 4769 no NCP \n", "33 4731 no IND \n", "34 11333 no BSP \n", "35 39325 no WPOI \n", "36 300706 no INC \n", "37 214828 no BJP \n", "38 3080 no YSRCP \n", "39 6720 no IND \n", "40 2448 no IND \n", "41 3944 no PPOI \n", "42 1777 no IND \n", "43 3773 no BMUP \n", "44 5747 no NOTA \n", "45 439307 yes TRS \n", "46 3651 no PPOI \n", "47 3091 no IND \n", "48 3990 no IND \n", "49 43814 no WPOI \n", "50 2817 no IND \n", "51 8129 no IND \n", "52 4791 no BCUF \n", "53 225333 no BJP \n", "54 1601 no IND \n", "55 7421 no BSP \n", "56 1978 no BMUP \n", "57 272123 no INC \n", "58 2621 no AAAP \n", "59 2462 no IND \n", " ... ... ... \n", "\n", " Party Name \n", "0 Telangana Rashtra Samithi \n", "1 Independent \n", "2 Telugu Desam \n", "3 Bahujan Samaj Party \n", "4 Independent \n", "5 Indian National Congress \n", "6 Independent \n", "7 Independent \n", "8 None of the Above \n", "9 Telangana Rashtra Samithi \n", "10 None of the Above \n", "11 Indian National Congress \n", "12 Pyramid Party of India \n", "13 Independent \n", "14 Republican Paksha (Khoripa) \n", "15 Telugu Desam \n", "16 Independent \n", "17 Independent \n", "18 Mahajana Socialist Party \n", "19 Independent \n", "20 Independent \n", "21 B. C. United Front \n", "22 Independent \n", "23 New India Party \n", "24 Independent \n", "25 Republican Party of India \n", "26 Bahujan Samaj Party \n", "27 Telangana Rashtra Samithi \n", "28 Independent \n", "29 New India Party \n", "30 Independent \n", "31 Republican Party of India (A) \n", "32 Nationalist Congress Party \n", "33 Independent \n", "34 Bahujan Samaj Party \n", "35 Welfare Party Of India \n", "36 Indian National Congress \n", "37 Bharatiya Janata Party \n", "38 Yuvajana Sramika Rythu Congress Party \n", "39 Independent \n", "40 Independent \n", "41 Pyramid Party of India \n", "42 Independent \n", "43 Bahujan Mukti Party \n", "44 None of the Above \n", "45 Telangana Rashtra Samithi \n", "46 Pyramid Party of India \n", "47 Independent \n", "48 Independent \n", "49 Welfare Party Of India \n", "50 Independent \n", "51 Independent \n", "52 B. C. United Front \n", "53 Bharatiya Janata Party \n", "54 Independent \n", "55 Bahujan Samaj Party \n", "56 Bahujan Mukti Party \n", "57 Indian National Congress \n", "58 Aam Aadmi Party \n", "59 Independent \n", " ... \n", "\n", "[8794 rows x 7 columns]" ] } ], "prompt_number": 14 }, { "cell_type": "raw", "metadata": {}, "source": [ "Analyzing The results" ] }, { "cell_type": "code", "collapsed": false, "input": [ "winners = results_data[results_data[\"Winner or Not?\"] == \"yes\"].sort(\"Name of State/ UT\")\n", "winners" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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Name of State/ UTParliamentary ConstituencyCandidate NameTotal Votes PolledWinner or Not?Party AbbreviationParty Name
8548 Andaman & Nicobar Islands Andaman & Nicobar Islands BISHNU PADA RAY 90969 yes BJP Bharatiya Janata Party
0 Andhra Pradesh Adilabad GODAM NAGESH 430847 yes TRS Telangana Rashtra Samithi
9 Andhra Pradesh Peddapalle BALKA SUMAN 565496 yes TRS Telangana Rashtra Samithi
27 Andhra Pradesh Karimnagar VINOD KUMAR BOINAPALLY 505783 yes TRS Telangana Rashtra Samithi
45 Andhra Pradesh Nizamabad KALVAKUNTLA KAVITHA 439307 yes TRS Telangana Rashtra Samithi
62 Andhra Pradesh Zahirabad B.B. PATIL 508661 yes TRS Telangana Rashtra Samithi
73 Andhra Pradesh Medak KALVAKUNTLA CHANDRASEKHAR RAO 657492 yes TRS Telangana Rashtra Samithi
87 Andhra Pradesh Malkajgiri CH.MALLA REDDY 523336 yes TDP Telugu Desam
118 Andhra Pradesh Secundrabad BANDARU DATTATREYA 438271 yes BJP Bharatiya Janata Party
149 Andhra Pradesh Hyderabad ASADUDDIN OWAISI 513868 yes AIMIM All India Majlis-E-Ittehadul Muslimeen
166 Andhra Pradesh CHELVELLA KONDA VISHWESHWAR REDDY 435077 yes TRS Telangana Rashtra Samithi
182 Andhra Pradesh Mahbubnagar AP JITHENDER REDDY 334228 yes TRS Telangana Rashtra Samithi
192 Andhra Pradesh Nagarkurnool YELLAIAH NANDI 420075 yes INC Indian National Congress
199 Andhra Pradesh Nalgonda GUTHA SUKHENDER REDDY 472093 yes INC Indian National Congress
209 Andhra Pradesh Bhongir DR. BOORA NARSAIAH GOUD 448245 yes TRS Telangana Rashtra Samithi
223 Andhra Pradesh Warangal KADIYAM SRIHARI 661639 yes TRS Telangana Rashtra Samithi
236 Andhra Pradesh Mahabubabad PROF. AZMEERA SEETARAM NAIK 320569 yes TRS Telangana Rashtra Samithi
254 Andhra Pradesh Khammam PONGULETI SRINIVASA REDDY 421957 yes YSRCP Yuvajana Sramika Rythu Congress Party
282 Andhra Pradesh Aruku KOTHAPALLI GEETHA 413191 yes YSRCP Yuvajana Sramika Rythu Congress Party
294 Andhra Pradesh Srikakulam RAMMOHAN NAIDU KINJARAPU 556163 yes TDP Telugu Desam
305 Andhra Pradesh Vizianagaram ASHOK GAJAPATHI RAJU PUSAPATI 536549 yes TDP Telugu Desam
315 Andhra Pradesh Visakhapatnam KAMBHAMPATI HARI BABU 566832 yes BJP Bharatiya Janata Party
338 Andhra Pradesh Anakapalli MUTTAMSETTI SRINIVASA RAO (AVANTHI) 568463 yes TDP Telugu Desam
347 Andhra Pradesh Kakinada THOTA NARASIMHAM 514402 yes TDP Telugu Desam
370 Andhra Pradesh Amalapuram DR PANDULA RAVINDRA BABU 594547 yes TDP Telugu Desam
385 Andhra Pradesh Rajahmundry MURALI MOHAN MAGANTI 630573 yes TDP Telugu Desam
400 Andhra Pradesh Narsapuram GOKARAJU GANGA RAJU 540306 yes BJP Bharatiya Janata Party
415 Andhra Pradesh Eluru MAGANTI VENKATESWARA RAO (BABU) 623471 yes TDP Telugu Desam
431 Andhra Pradesh Machilipatnam KONAKALLA NARAYANA RAO 587280 yes TDP Telugu Desam
443 Andhra Pradesh Vijayawada KESINENI SRINIVAS 592696 yes TDP Telugu Desam
466 Andhra Pradesh Guntur JAYADEV GALLA 618417 yes TDP Telugu Desam
479 Andhra Pradesh Narasaraopet SAMBASIVA RAO RAYAPATI 632464 yes TDP Telugu Desam
491 Andhra Pradesh Bapatla MALYADRI SRIRAM 578145 yes TDP Telugu Desam
506 Andhra Pradesh Ongole Y.V.SUBBA REDDY 589960 yes YSRCP Yuvajana Sramika Rythu Congress Party
522 Andhra Pradesh Nandyal S.P.Y REDDY 622411 yes YSRCP Yuvajana Sramika Rythu Congress Party
537 Andhra Pradesh Kurnool BUTTA RENUKA 472782 yes YSRCP Yuvajana Sramika Rythu Congress Party
550 Andhra Pradesh Anantapur J.C. DIVAKAR REDDI 606509 yes TDP Telugu Desam
564 Andhra Pradesh Hindupur KRISTAPPA NIMMALA 604291 yes TDP Telugu Desam
577 Andhra Pradesh Kadapa Y.S. AVINASH REDDY 671983 yes YSRCP Yuvajana Sramika Rythu Congress Party
592 Andhra Pradesh Nellore MEKAPATI RAJAMOHAN REDDY 576396 yes YSRCP Yuvajana Sramika Rythu Congress Party
607 Andhra Pradesh Tirupati VARAPRASAD RAO VELAGAPALLI 580376 yes YSRCP Yuvajana Sramika Rythu Congress Party
622 Andhra Pradesh Rajampet P.V.MIDHUN REDDY 601752 yes YSRCP Yuvajana Sramika Rythu Congress Party
632 Andhra Pradesh Chittoor NARAMALLI SIVAPRASAD 594862 yes TDP Telugu Desam
640 Arunachal Pradesh ARUNACHAL WEST KIREN RIJIJU 169367 yes BJP Bharatiya Janata Party
649 Arunachal Pradesh ARUNACHAL EAST NINONG ERING 118455 yes INC Indian National Congress
653 Assam Karimganj RADHESHYAM BISWAS 362866 yes AIUDF All India United Democratic Front
669 Assam Silchar SUSHMITA DEV 336451 yes INC Indian National Congress
687 Assam Autonomous District BIREN SINGH ENGTI 213152 yes INC Indian National Congress
693 Assam Dhubri BADRUDDIN AJMAL 592569 yes AIUDF All India United Democratic Front
709 Assam Kokrajhar NABA KUMAR SARANIA (HIRA) 634428 yes IND Independent
716 Assam Barpeta SIRAJ UDDIN AJMAL 394702 yes AIUDF All India United Democratic Front
732 Assam Gauhati BIJOYA CHAKRAVARTY 764985 yes BJP Bharatiya Janata Party
751 Assam Mangaldoi RAMEN DEKA 486357 yes BJP Bharatiya Janata Party
764 Assam Tezpur RAM PRASAD SARMAH 446511 yes BJP Bharatiya Janata Party
774 Assam Nowgong RAJEN GOHAIN 494146 yes BJP Bharatiya Janata Party
783 Assam Kaliabor GOURAV GOGOI 443315 yes INC Indian National Congress
797 Assam Jorhat KAMAKHYA PRASAD TASA 456420 yes BJP Bharatiya Janata Party
808 Assam Dibrugarh RAMESWAR TELI 494364 yes BJP Bharatiya Janata Party
815 Assam Lakhimpur SARBANANDA SONOWAL 612543 yes BJP Bharatiya Janata Party
829 Bihar Valmiki Nagar SATISH CHANDRA DUBEY 364011 yes BJP Bharatiya Janata Party
.....................
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543 rows \u00d7 7 columns

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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 15, "text": [ " Name of State/ UT Parliamentary Constituency \\\n", "8548 Andaman & Nicobar Islands Andaman & Nicobar Islands \n", "0 Andhra Pradesh Adilabad \n", "9 Andhra Pradesh Peddapalle \n", "27 Andhra Pradesh Karimnagar \n", "45 Andhra Pradesh Nizamabad \n", "62 Andhra Pradesh Zahirabad \n", "73 Andhra Pradesh Medak \n", "87 Andhra Pradesh Malkajgiri \n", "118 Andhra Pradesh Secundrabad \n", "149 Andhra Pradesh Hyderabad \n", "166 Andhra Pradesh CHELVELLA \n", "182 Andhra Pradesh Mahbubnagar \n", "192 Andhra Pradesh Nagarkurnool \n", "199 Andhra Pradesh Nalgonda \n", "209 Andhra Pradesh Bhongir \n", "223 Andhra Pradesh Warangal \n", "236 Andhra Pradesh Mahabubabad \n", "254 Andhra Pradesh Khammam \n", "282 Andhra Pradesh Aruku \n", "294 Andhra Pradesh Srikakulam \n", "305 Andhra Pradesh Vizianagaram \n", "315 Andhra Pradesh Visakhapatnam \n", "338 Andhra Pradesh Anakapalli \n", "347 Andhra Pradesh Kakinada \n", "370 Andhra Pradesh Amalapuram \n", "385 Andhra Pradesh Rajahmundry \n", "400 Andhra Pradesh Narsapuram \n", "415 Andhra Pradesh Eluru \n", "431 Andhra Pradesh Machilipatnam \n", "443 Andhra Pradesh Vijayawada \n", "466 Andhra Pradesh Guntur \n", "479 Andhra Pradesh Narasaraopet \n", "491 Andhra Pradesh Bapatla \n", "506 Andhra Pradesh Ongole \n", "522 Andhra Pradesh Nandyal \n", "537 Andhra Pradesh Kurnool \n", "550 Andhra Pradesh Anantapur \n", "564 Andhra Pradesh Hindupur \n", "577 Andhra Pradesh Kadapa \n", "592 Andhra Pradesh Nellore \n", "607 Andhra Pradesh Tirupati \n", "622 Andhra Pradesh Rajampet \n", "632 Andhra Pradesh Chittoor \n", "640 Arunachal Pradesh ARUNACHAL WEST \n", "649 Arunachal Pradesh ARUNACHAL EAST \n", "653 Assam Karimganj \n", "669 Assam Silchar \n", "687 Assam Autonomous District \n", "693 Assam Dhubri \n", "709 Assam Kokrajhar \n", "716 Assam Barpeta \n", "732 Assam Gauhati \n", "751 Assam Mangaldoi \n", "764 Assam Tezpur \n", "774 Assam Nowgong \n", "783 Assam Kaliabor \n", "797 Assam Jorhat \n", "808 Assam Dibrugarh \n", "815 Assam Lakhimpur \n", "829 Bihar Valmiki Nagar \n", " ... ... \n", "\n", " Candidate Name Total Votes Polled Winner or Not? \\\n", "8548 BISHNU PADA RAY 90969 yes \n", "0 GODAM NAGESH 430847 yes \n", "9 BALKA SUMAN 565496 yes \n", "27 VINOD KUMAR BOINAPALLY 505783 yes \n", "45 KALVAKUNTLA KAVITHA 439307 yes \n", "62 B.B. PATIL 508661 yes \n", "73 KALVAKUNTLA CHANDRASEKHAR RAO 657492 yes \n", "87 CH.MALLA REDDY 523336 yes \n", "118 BANDARU DATTATREYA 438271 yes \n", "149 ASADUDDIN OWAISI 513868 yes \n", "166 KONDA VISHWESHWAR REDDY 435077 yes \n", "182 AP JITHENDER REDDY 334228 yes \n", "192 YELLAIAH NANDI 420075 yes \n", "199 GUTHA SUKHENDER REDDY 472093 yes \n", "209 DR. BOORA NARSAIAH GOUD 448245 yes \n", "223 KADIYAM SRIHARI 661639 yes \n", "236 PROF. AZMEERA SEETARAM NAIK 320569 yes \n", "254 PONGULETI SRINIVASA REDDY 421957 yes \n", "282 KOTHAPALLI GEETHA 413191 yes \n", "294 RAMMOHAN NAIDU KINJARAPU 556163 yes \n", "305 ASHOK GAJAPATHI RAJU PUSAPATI 536549 yes \n", "315 KAMBHAMPATI HARI BABU 566832 yes \n", "338 MUTTAMSETTI SRINIVASA RAO (AVANTHI) 568463 yes \n", "347 THOTA NARASIMHAM 514402 yes \n", "370 DR PANDULA RAVINDRA BABU 594547 yes \n", "385 MURALI MOHAN MAGANTI 630573 yes \n", "400 GOKARAJU GANGA RAJU 540306 yes \n", "415 MAGANTI VENKATESWARA RAO (BABU) 623471 yes \n", "431 KONAKALLA NARAYANA RAO 587280 yes \n", "443 KESINENI SRINIVAS 592696 yes \n", "466 JAYADEV GALLA 618417 yes \n", "479 SAMBASIVA RAO RAYAPATI 632464 yes \n", "491 MALYADRI SRIRAM 578145 yes \n", "506 Y.V.SUBBA REDDY 589960 yes \n", "522 S.P.Y REDDY 622411 yes \n", "537 BUTTA RENUKA 472782 yes \n", "550 J.C. DIVAKAR REDDI 606509 yes \n", "564 KRISTAPPA NIMMALA 604291 yes \n", "577 Y.S. AVINASH REDDY 671983 yes \n", "592 MEKAPATI RAJAMOHAN REDDY 576396 yes \n", "607 VARAPRASAD RAO VELAGAPALLI 580376 yes \n", "622 P.V.MIDHUN REDDY 601752 yes \n", "632 NARAMALLI SIVAPRASAD 594862 yes \n", "640 KIREN RIJIJU 169367 yes \n", "649 NINONG ERING 118455 yes \n", "653 RADHESHYAM BISWAS 362866 yes \n", "669 SUSHMITA DEV 336451 yes \n", "687 BIREN SINGH ENGTI 213152 yes \n", "693 BADRUDDIN AJMAL 592569 yes \n", "709 NABA KUMAR SARANIA (HIRA) 634428 yes \n", "716 SIRAJ UDDIN AJMAL 394702 yes \n", "732 BIJOYA CHAKRAVARTY 764985 yes \n", "751 RAMEN DEKA 486357 yes \n", "764 RAM PRASAD SARMAH 446511 yes \n", "774 RAJEN GOHAIN 494146 yes \n", "783 GOURAV GOGOI 443315 yes \n", "797 KAMAKHYA PRASAD TASA 456420 yes \n", "808 RAMESWAR TELI 494364 yes \n", "815 SARBANANDA SONOWAL 612543 yes \n", "829 SATISH CHANDRA DUBEY 364011 yes \n", " ... ... ... \n", "\n", " Party Abbreviation Party Name \n", "8548 BJP Bharatiya Janata Party \n", "0 TRS Telangana Rashtra Samithi \n", "9 TRS Telangana Rashtra Samithi \n", "27 TRS Telangana Rashtra Samithi \n", "45 TRS Telangana Rashtra Samithi \n", "62 TRS Telangana Rashtra Samithi \n", "73 TRS Telangana Rashtra Samithi \n", "87 TDP Telugu Desam \n", "118 BJP Bharatiya Janata Party \n", "149 AIMIM All India Majlis-E-Ittehadul Muslimeen \n", "166 TRS Telangana Rashtra Samithi \n", "182 TRS Telangana Rashtra Samithi \n", "192 INC Indian National Congress \n", "199 INC Indian National Congress \n", "209 TRS Telangana Rashtra Samithi \n", "223 TRS Telangana Rashtra Samithi \n", "236 TRS Telangana Rashtra Samithi \n", "254 YSRCP Yuvajana Sramika Rythu Congress Party \n", "282 YSRCP Yuvajana Sramika Rythu Congress Party \n", "294 TDP Telugu Desam \n", "305 TDP Telugu Desam \n", "315 BJP Bharatiya Janata Party \n", "338 TDP Telugu Desam \n", "347 TDP Telugu Desam \n", "370 TDP Telugu Desam \n", "385 TDP Telugu Desam \n", "400 BJP Bharatiya Janata Party \n", "415 TDP Telugu Desam \n", "431 TDP Telugu Desam \n", "443 TDP Telugu Desam \n", "466 TDP Telugu Desam \n", "479 TDP Telugu Desam \n", "491 TDP Telugu Desam \n", "506 YSRCP Yuvajana Sramika Rythu Congress Party \n", "522 YSRCP Yuvajana Sramika Rythu Congress Party \n", "537 YSRCP Yuvajana Sramika Rythu Congress Party \n", "550 TDP Telugu Desam \n", "564 TDP Telugu Desam \n", "577 YSRCP Yuvajana Sramika Rythu Congress Party \n", "592 YSRCP Yuvajana Sramika Rythu Congress Party \n", "607 YSRCP Yuvajana Sramika Rythu Congress Party \n", "622 YSRCP Yuvajana Sramika Rythu Congress Party \n", "632 TDP Telugu Desam \n", "640 BJP Bharatiya Janata Party \n", "649 INC Indian National Congress \n", "653 AIUDF All India United Democratic Front \n", "669 INC Indian National Congress \n", "687 INC Indian National Congress \n", "693 AIUDF All India United Democratic Front \n", "709 IND Independent \n", "716 AIUDF All India United Democratic Front \n", "732 BJP Bharatiya Janata Party \n", "751 BJP Bharatiya Janata Party \n", "764 BJP Bharatiya Janata Party \n", "774 BJP Bharatiya Janata Party \n", "783 INC Indian National Congress \n", "797 BJP Bharatiya Janata Party \n", "808 BJP Bharatiya Janata Party \n", "815 BJP Bharatiya Janata Party \n", "829 BJP Bharatiya Janata Party \n", " ... ... \n", "\n", "[543 rows x 7 columns]" ] } ], "prompt_number": 15 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Loading the results to the origianl Data Frame" ] }, { "cell_type": "code", "collapsed": false, "input": [ "csv_data[\"Candidate Name\"] = winners[\"Candidate Name\"].values\n", "csv_data[\"Party Abbreviation\"] = winners[\"Party Abbreviation\"].values\n", "csv_data[\"Party Name\"] = winners[\"Party Name\"].values\n", "csv_data[\"Total Votes Polled\"] = winners[\"Total Votes Polled\"].values\n", "csv_data" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StatePC NameMale ElectorsMale VotersFemale ElectorsFemale VotersTotal ElectorsTotal VotersMale TurnoutFemale TurnoutTotal TurnoutCandidate NameParty AbbreviationParty NameTotal Votes Polled
0 Andaman & Nicobar Islands 1 - Andaman & Nicobar Islands 142782 101178 126578 89150 269360 190328 0.708619 0.704309 0.706593 BISHNU PADA RAY BJP Bharatiya Janata Party 90969
1 Andhra Pradesh 1 - Adilabad 687389 519364 698844 526475 1386233 1045839 0.755561 0.753351 0.754447 GODAM NAGESH TRS Telangana Rashtra Samithi 430847
2 Andhra Pradesh 2 - Peddapalle 725767 520598 699594 501586 1425361 1022184 0.717307 0.716967 0.717140 BALKA SUMAN TRS Telangana Rashtra Samithi 565496
3 Andhra Pradesh 3 - Karimnagar 777458 552489 773376 573202 1550834 1125691 0.710635 0.741169 0.725862 VINOD KUMAR BOINAPALLY TRS Telangana Rashtra Samithi 505783
4 Andhra Pradesh 4 - Nizamabad 724504 469712 771689 564212 1496193 1033924 0.648322 0.731139 0.691037 KALVAKUNTLA KAVITHA TRS Telangana Rashtra Samithi 439307
5 Andhra Pradesh 5 - Zahirabad 717811 546746 727435 548060 1445246 1094806 0.761685 0.753414 0.757522 B.B. PATIL TRS Telangana Rashtra Samithi 508661
6 Andhra Pradesh 6 - Medak 775903 606863 760812 584233 1536715 1191096 0.782138 0.767907 0.775092 KALVAKUNTLA CHANDRASEKHAR RAO TRS Telangana Rashtra Samithi 657492
7 Andhra Pradesh 7 - Malkajgiri 1723413 878093 1459912 742304 3183325 1620397 0.509508 0.508458 0.509027 CH.MALLA REDDY TDP Telugu Desam 523336
8 Andhra Pradesh 8 - Secundrabad 1012378 545749 881269 458020 1893647 1003769 0.539076 0.519728 0.530072 BANDARU DATTATREYA BJP Bharatiya Janata Party 438271
9 Andhra Pradesh 9 - Hyderabad 961290 526510 862374 444911 1823664 971421 0.547712 0.515914 0.532675 ASADUDDIN OWAISI AIMIM All India Majlis-E-Ittehadul Muslimeen 513868
10 Andhra Pradesh 10 - CHELVELLA 1153049 696749 1032130 619113 2185179 1315862 0.604267 0.599840 0.602176 KONDA VISHWESHWAR REDDY TRS Telangana Rashtra Samithi 435077
11 Andhra Pradesh 11 - Mahbubnagar 709711 511764 708961 503036 1418672 1014800 0.721088 0.709540 0.715317 AP JITHENDER REDDY TRS Telangana Rashtra Samithi 334228
12 Andhra Pradesh 12 - Nagarkurnool 745038 570342 732300 538626 1477338 1108968 0.765521 0.735526 0.750653 YELLAIAH NANDI INC Indian National Congress 420075
13 Andhra Pradesh 13 - Nalgonda 747281 602193 748299 587206 1495580 1189399 0.805845 0.784721 0.795276 GUTHA SUKHENDER REDDY INC Indian National Congress 472093
14 Andhra Pradesh 14 - Bhongir 756963 622333 735288 589610 1492251 1211943 0.822145 0.801876 0.812158 DR. BOORA NARSAIAH GOUD TRS Telangana Rashtra Samithi 448245
15 Andhra Pradesh 15 - Warangal 771756 592484 766025 582147 1537781 1174631 0.767709 0.759958 0.763848 KADIYAM SRIHARI TRS Telangana Rashtra Samithi 661639
16 Andhra Pradesh 16 - Mahabubabad 688398 562073 698945 562297 1387343 1124370 0.816494 0.804494 0.810448 PROF. AZMEERA SEETARAM NAIK TRS Telangana Rashtra Samithi 320569
17 Andhra Pradesh 17 - Khammam 712329 588728 727960 594169 1440289 1182897 0.826483 0.816211 0.821291 PONGULETI SRINIVASA REDDY YSRCP Yuvajana Sramika Rythu Congress Party 421957
18 Andhra Pradesh 18 - Aruku 622416 451350 650308 458264 1272724 909614 0.725158 0.704688 0.714699 KOTHAPALLI GEETHA YSRCP Yuvajana Sramika Rythu Congress Party 413191
19 Andhra Pradesh 19 - Srikakulam 706828 505010 707161 546436 1413989 1051446 0.714474 0.772718 0.743603 RAMMOHAN NAIDU KINJARAPU TDP Telugu Desam 556163
20 Andhra Pradesh 20 - Vizianagaram 700837 555005 703290 565311 1404127 1120316 0.791917 0.803809 0.797874 ASHOK GAJAPATHI RAJU PUSAPATI TDP Telugu Desam 536549
21 Andhra Pradesh 21 - Visakhapatnam 875187 585270 847850 578288 1723037 1163558 0.668737 0.682064 0.675295 KAMBHAMPATI HARI BABU BJP Bharatiya Janata Party 566832
22 Andhra Pradesh 22 - Anakapalli 689132 563818 712342 584254 1401474 1148072 0.818157 0.820187 0.819189 MUTTAMSETTI SRINIVASA RAO (AVANTHI) TDP Telugu Desam 568463
23 Andhra Pradesh 23 - Kakinada 709101 558689 709189 541310 1418290 1099999 0.787884 0.763280 0.775581 THOTA NARASIMHAM TDP Telugu Desam 514402
24 Andhra Pradesh 24 - Amalapuram 682607 568534 675259 552393 1357866 1120927 0.832886 0.818046 0.825506 DR PANDULA RAVINDRA BABU TDP Telugu Desam 594547
25 Andhra Pradesh 25 - Rajahmundry 701707 577999 719581 576382 1421288 1154381 0.823704 0.800997 0.812208 MURALI MOHAN MAGANTI TDP Telugu Desam 630573
26 Andhra Pradesh 26 - Narsapuram 652668 539357 672475 549594 1325143 1088951 0.826388 0.817271 0.821761 GOKARAJU GANGA RAJU BJP Bharatiya Janata Party 540306
27 Andhra Pradesh 27 - Eluru 706916 597603 720844 604093 1427760 1201696 0.845366 0.838036 0.841665 MAGANTI VENKATESWARA RAO (BABU) TDP Telugu Desam 623471
28 Andhra Pradesh 28 - Machilipatnam 675774 567908 693537 573157 1369311 1141065 0.840382 0.826426 0.833313 KONAKALLA NARAYANA RAO TDP Telugu Desam 587280
29 Andhra Pradesh 29 - Vijayawada 781156 602198 783357 592877 1564513 1195075 0.770906 0.756841 0.763864 KESINENI SRINIVAS TDP Telugu Desam 592696
30 Andhra Pradesh 30 - Guntur 773027 617483 798989 627443 1572016 1244926 0.798786 0.785296 0.791930 JAYADEV GALLA TDP Telugu Desam 618417
31 Andhra Pradesh 31 - Narasaraopet 748465 638080 766396 643978 1514861 1282058 0.852518 0.840268 0.846321 SAMBASIVA RAO RAYAPATI TDP Telugu Desam 632464
32 Andhra Pradesh 32 - Bapatla 686482 587223 706483 597411 1392965 1184634 0.855409 0.845613 0.850441 MALYADRI SRIRAM TDP Telugu Desam 578145
33 Andhra Pradesh 33 - Ongole 736245 603025 734238 605200 1470483 1208225 0.819055 0.824256 0.821652 Y.V.SUBBA REDDY YSRCP Yuvajana Sramika Rythu Congress Party 589960
34 Andhra Pradesh 34 - Nandyal 783266 603562 793862 601394 1577128 1204956 0.770571 0.757555 0.764019 S.P.Y REDDY YSRCP Yuvajana Sramika Rythu Congress Party 622411
35 Andhra Pradesh 35 - Kurnool 738791 544802 743016 520930 1481807 1065732 0.737424 0.701102 0.719211 BUTTA RENUKA YSRCP Yuvajana Sramika Rythu Congress Party 472782
36 Andhra Pradesh 36 - Anantapur 775509 612890 761403 592164 1536912 1205054 0.790307 0.777727 0.784075 J.C. DIVAKAR REDDI TDP Telugu Desam 606509
37 Andhra Pradesh 37 - Hindupur 734638 601932 711865 575325 1446503 1177257 0.819359 0.808194 0.813864 KRISTAPPA NIMMALA TDP Telugu Desam 604291
38 Andhra Pradesh 38 - Kadapa 765036 588805 785543 611857 1550579 1200662 0.769644 0.778897 0.774331 Y.S. AVINASH REDDY YSRCP Yuvajana Sramika Rythu Congress Party 671983
39 Andhra Pradesh 39 - Nellore 796583 593468 809557 594180 1606140 1187648 0.745017 0.733957 0.739442 MEKAPATI RAJAMOHAN REDDY YSRCP Yuvajana Sramika Rythu Congress Party 576396
40 Andhra Pradesh 40 - Tirupati 778778 604834 795766 608230 1574544 1213064 0.776645 0.764333 0.770422 VARAPRASAD RAO VELAGAPALLI YSRCP Yuvajana Sramika Rythu Congress Party 580376
41 Andhra Pradesh 41 - Rajampet 735347 573019 752151 585298 1487498 1158317 0.779250 0.778166 0.778702 P.V.MIDHUN REDDY YSRCP Yuvajana Sramika Rythu Congress Party 601752
42 Andhra Pradesh 42 - Chittoor 723996 598259 728145 600656 1452141 1198915 0.826329 0.824913 0.825619 NARAMALLI SIVAPRASAD TDP Telugu Desam 594862
43 Arunachal Pradesh 1 - ARUNACHAL WEST 219334 159978 227181 175687 446515 335665 0.729381 0.773335 0.751744 KIREN RIJIJU BJP Bharatiya Janata Party 169367
44 Arunachal Pradesh 2 - ARUNACHAL EAST 160293 129313 152579 131978 312872 261291 0.806729 0.864981 0.835137 NINONG ERING INC Indian National Congress 118455
45 Assam 1 - Karimganj 615198 482484 550799 404436 1165997 886920 0.784274 0.734271 0.760654 RADHESHYAM BISWAS AIUDF All India United Democratic Front 362866
46 Assam 2 - Silchar 554540 428949 505635 370881 1060175 799830 0.773522 0.733496 0.754432 SUSHMITA DEV INC Indian National Congress 336451
47 Assam 3 - Autonomous District 358880 279409 343010 263871 701890 543280 0.778558 0.769281 0.774024 BIREN SINGH ENGTI INC Indian National Congress 213152
48 Assam 4 - Dhubri 798124 709191 754430 660433 1552554 1369624 0.888572 0.875407 0.882175 BADRUDDIN AJMAL AIUDF All India United Democratic Front 592569
49 Assam 5 - Kokrajhar 776071 636657 729405 587212 1505476 1223869 0.820359 0.805056 0.812945 NABA KUMAR SARANIA (HIRA) IND Independent 634428
50 Assam 6 - Barpeta 755559 634405 674616 571458 1430175 1205863 0.839650 0.847086 0.843158 SIRAJ UDDIN AJMAL AIUDF All India United Democratic Front 394702
51 Assam 7 - Gauhati 988067 785494 934203 726235 1922270 1511729 0.794981 0.777385 0.786429 BIJOYA CHAKRAVARTY BJP Bharatiya Janata Party 764985
52 Assam 8 - Mangaldoi 791539 651272 724137 581965 1515676 1233237 0.822792 0.803667 0.813655 RAMEN DEKA BJP Bharatiya Janata Party 486357
53 Assam 9 - Tezpur 654866 505643 604702 475045 1259568 980688 0.772132 0.785585 0.778591 RAM PRASAD SARMAH BJP Bharatiya Janata Party 446511
54 Assam 10 - Nowgong 792424 639392 731457 590682 1523881 1230074 0.806881 0.807542 0.807198 RAJEN GOHAIN BJP Bharatiya Janata Party 494146
55 Assam 11 - Kaliabor 752785 605292 705080 561198 1457865 1166490 0.804070 0.795935 0.800136 GOURAV GOGOI INC Indian National Congress 443315
56 Assam 12 - Jorhat 634236 483829 600212 447507 1234448 931336 0.762853 0.745582 0.754455 KAMAKHYA PRASAD TASA BJP Bharatiya Janata Party 456420
57 Assam 13 - Dibrugarh 579657 462412 544648 428556 1124305 890968 0.797734 0.786849 0.792461 RAMESWAR TELI BJP Bharatiya Janata Party 494364
58 Assam 14 - Lakhimpur 735263 572334 695731 539641 1430994 1111975 0.778407 0.775646 0.777065 SARBANANDA SONOWAL BJP Bharatiya Janata Party 612543
59 Bihar 1 - Valmiki Nagar 786297 484621 670279 415493 1456576 900114 0.616333 0.619881 0.617966 SATISH CHANDRA DUBEY BJP Bharatiya Janata Party 364011
.............................................
\n", "

543 rows \u00d7 15 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 16, "text": [ " State PC Name Male Electors \\\n", "0 Andaman & Nicobar Islands 1 - Andaman & Nicobar Islands 142782 \n", "1 Andhra Pradesh 1 - Adilabad 687389 \n", "2 Andhra Pradesh 2 - Peddapalle 725767 \n", "3 Andhra Pradesh 3 - Karimnagar 777458 \n", "4 Andhra Pradesh 4 - Nizamabad 724504 \n", "5 Andhra Pradesh 5 - Zahirabad 717811 \n", "6 Andhra Pradesh 6 - Medak 775903 \n", "7 Andhra Pradesh 7 - Malkajgiri 1723413 \n", "8 Andhra Pradesh 8 - Secundrabad 1012378 \n", "9 Andhra Pradesh 9 - Hyderabad 961290 \n", "10 Andhra Pradesh 10 - CHELVELLA 1153049 \n", "11 Andhra Pradesh 11 - Mahbubnagar 709711 \n", "12 Andhra Pradesh 12 - Nagarkurnool 745038 \n", "13 Andhra Pradesh 13 - Nalgonda 747281 \n", "14 Andhra Pradesh 14 - Bhongir 756963 \n", "15 Andhra Pradesh 15 - Warangal 771756 \n", "16 Andhra Pradesh 16 - Mahabubabad 688398 \n", "17 Andhra Pradesh 17 - Khammam 712329 \n", "18 Andhra Pradesh 18 - Aruku 622416 \n", "19 Andhra Pradesh 19 - Srikakulam 706828 \n", "20 Andhra Pradesh 20 - Vizianagaram 700837 \n", "21 Andhra Pradesh 21 - Visakhapatnam 875187 \n", "22 Andhra Pradesh 22 - Anakapalli 689132 \n", "23 Andhra Pradesh 23 - Kakinada 709101 \n", "24 Andhra Pradesh 24 - Amalapuram 682607 \n", "25 Andhra Pradesh 25 - Rajahmundry 701707 \n", "26 Andhra Pradesh 26 - Narsapuram 652668 \n", "27 Andhra Pradesh 27 - Eluru 706916 \n", "28 Andhra Pradesh 28 - Machilipatnam 675774 \n", "29 Andhra Pradesh 29 - Vijayawada 781156 \n", "30 Andhra Pradesh 30 - Guntur 773027 \n", "31 Andhra Pradesh 31 - Narasaraopet 748465 \n", "32 Andhra Pradesh 32 - Bapatla 686482 \n", "33 Andhra Pradesh 33 - Ongole 736245 \n", "34 Andhra Pradesh 34 - Nandyal 783266 \n", "35 Andhra Pradesh 35 - Kurnool 738791 \n", "36 Andhra Pradesh 36 - Anantapur 775509 \n", "37 Andhra Pradesh 37 - Hindupur 734638 \n", "38 Andhra Pradesh 38 - Kadapa 765036 \n", "39 Andhra Pradesh 39 - Nellore 796583 \n", "40 Andhra Pradesh 40 - Tirupati 778778 \n", "41 Andhra Pradesh 41 - Rajampet 735347 \n", "42 Andhra Pradesh 42 - Chittoor 723996 \n", "43 Arunachal Pradesh 1 - ARUNACHAL WEST 219334 \n", "44 Arunachal Pradesh 2 - ARUNACHAL EAST 160293 \n", "45 Assam 1 - Karimganj 615198 \n", "46 Assam 2 - Silchar 554540 \n", "47 Assam 3 - Autonomous District 358880 \n", "48 Assam 4 - Dhubri 798124 \n", "49 Assam 5 - Kokrajhar 776071 \n", "50 Assam 6 - Barpeta 755559 \n", "51 Assam 7 - Gauhati 988067 \n", "52 Assam 8 - Mangaldoi 791539 \n", "53 Assam 9 - Tezpur 654866 \n", "54 Assam 10 - Nowgong 792424 \n", "55 Assam 11 - Kaliabor 752785 \n", "56 Assam 12 - Jorhat 634236 \n", "57 Assam 13 - Dibrugarh 579657 \n", "58 Assam 14 - Lakhimpur 735263 \n", "59 Bihar 1 - Valmiki Nagar 786297 \n", " ... ... ... \n", "\n", " Male Voters Female Electors Female Voters Total Electors Total Voters \\\n", "0 101178 126578 89150 269360 190328 \n", "1 519364 698844 526475 1386233 1045839 \n", "2 520598 699594 501586 1425361 1022184 \n", "3 552489 773376 573202 1550834 1125691 \n", "4 469712 771689 564212 1496193 1033924 \n", "5 546746 727435 548060 1445246 1094806 \n", "6 606863 760812 584233 1536715 1191096 \n", "7 878093 1459912 742304 3183325 1620397 \n", "8 545749 881269 458020 1893647 1003769 \n", "9 526510 862374 444911 1823664 971421 \n", "10 696749 1032130 619113 2185179 1315862 \n", "11 511764 708961 503036 1418672 1014800 \n", "12 570342 732300 538626 1477338 1108968 \n", "13 602193 748299 587206 1495580 1189399 \n", "14 622333 735288 589610 1492251 1211943 \n", "15 592484 766025 582147 1537781 1174631 \n", "16 562073 698945 562297 1387343 1124370 \n", "17 588728 727960 594169 1440289 1182897 \n", "18 451350 650308 458264 1272724 909614 \n", "19 505010 707161 546436 1413989 1051446 \n", "20 555005 703290 565311 1404127 1120316 \n", "21 585270 847850 578288 1723037 1163558 \n", "22 563818 712342 584254 1401474 1148072 \n", "23 558689 709189 541310 1418290 1099999 \n", "24 568534 675259 552393 1357866 1120927 \n", "25 577999 719581 576382 1421288 1154381 \n", "26 539357 672475 549594 1325143 1088951 \n", "27 597603 720844 604093 1427760 1201696 \n", "28 567908 693537 573157 1369311 1141065 \n", "29 602198 783357 592877 1564513 1195075 \n", "30 617483 798989 627443 1572016 1244926 \n", "31 638080 766396 643978 1514861 1282058 \n", "32 587223 706483 597411 1392965 1184634 \n", "33 603025 734238 605200 1470483 1208225 \n", "34 603562 793862 601394 1577128 1204956 \n", "35 544802 743016 520930 1481807 1065732 \n", "36 612890 761403 592164 1536912 1205054 \n", "37 601932 711865 575325 1446503 1177257 \n", "38 588805 785543 611857 1550579 1200662 \n", "39 593468 809557 594180 1606140 1187648 \n", "40 604834 795766 608230 1574544 1213064 \n", "41 573019 752151 585298 1487498 1158317 \n", "42 598259 728145 600656 1452141 1198915 \n", "43 159978 227181 175687 446515 335665 \n", "44 129313 152579 131978 312872 261291 \n", "45 482484 550799 404436 1165997 886920 \n", "46 428949 505635 370881 1060175 799830 \n", "47 279409 343010 263871 701890 543280 \n", "48 709191 754430 660433 1552554 1369624 \n", "49 636657 729405 587212 1505476 1223869 \n", "50 634405 674616 571458 1430175 1205863 \n", "51 785494 934203 726235 1922270 1511729 \n", "52 651272 724137 581965 1515676 1233237 \n", "53 505643 604702 475045 1259568 980688 \n", "54 639392 731457 590682 1523881 1230074 \n", "55 605292 705080 561198 1457865 1166490 \n", "56 483829 600212 447507 1234448 931336 \n", "57 462412 544648 428556 1124305 890968 \n", "58 572334 695731 539641 1430994 1111975 \n", "59 484621 670279 415493 1456576 900114 \n", " ... ... ... ... ... \n", "\n", " Male Turnout Female Turnout Total Turnout \\\n", "0 0.708619 0.704309 0.706593 \n", "1 0.755561 0.753351 0.754447 \n", "2 0.717307 0.716967 0.717140 \n", "3 0.710635 0.741169 0.725862 \n", "4 0.648322 0.731139 0.691037 \n", "5 0.761685 0.753414 0.757522 \n", "6 0.782138 0.767907 0.775092 \n", "7 0.509508 0.508458 0.509027 \n", "8 0.539076 0.519728 0.530072 \n", "9 0.547712 0.515914 0.532675 \n", "10 0.604267 0.599840 0.602176 \n", "11 0.721088 0.709540 0.715317 \n", "12 0.765521 0.735526 0.750653 \n", "13 0.805845 0.784721 0.795276 \n", "14 0.822145 0.801876 0.812158 \n", "15 0.767709 0.759958 0.763848 \n", "16 0.816494 0.804494 0.810448 \n", "17 0.826483 0.816211 0.821291 \n", "18 0.725158 0.704688 0.714699 \n", "19 0.714474 0.772718 0.743603 \n", "20 0.791917 0.803809 0.797874 \n", "21 0.668737 0.682064 0.675295 \n", "22 0.818157 0.820187 0.819189 \n", "23 0.787884 0.763280 0.775581 \n", "24 0.832886 0.818046 0.825506 \n", "25 0.823704 0.800997 0.812208 \n", "26 0.826388 0.817271 0.821761 \n", "27 0.845366 0.838036 0.841665 \n", "28 0.840382 0.826426 0.833313 \n", "29 0.770906 0.756841 0.763864 \n", "30 0.798786 0.785296 0.791930 \n", "31 0.852518 0.840268 0.846321 \n", "32 0.855409 0.845613 0.850441 \n", "33 0.819055 0.824256 0.821652 \n", "34 0.770571 0.757555 0.764019 \n", "35 0.737424 0.701102 0.719211 \n", "36 0.790307 0.777727 0.784075 \n", "37 0.819359 0.808194 0.813864 \n", "38 0.769644 0.778897 0.774331 \n", "39 0.745017 0.733957 0.739442 \n", "40 0.776645 0.764333 0.770422 \n", "41 0.779250 0.778166 0.778702 \n", "42 0.826329 0.824913 0.825619 \n", "43 0.729381 0.773335 0.751744 \n", "44 0.806729 0.864981 0.835137 \n", "45 0.784274 0.734271 0.760654 \n", "46 0.773522 0.733496 0.754432 \n", "47 0.778558 0.769281 0.774024 \n", "48 0.888572 0.875407 0.882175 \n", "49 0.820359 0.805056 0.812945 \n", "50 0.839650 0.847086 0.843158 \n", "51 0.794981 0.777385 0.786429 \n", "52 0.822792 0.803667 0.813655 \n", "53 0.772132 0.785585 0.778591 \n", "54 0.806881 0.807542 0.807198 \n", "55 0.804070 0.795935 0.800136 \n", "56 0.762853 0.745582 0.754455 \n", "57 0.797734 0.786849 0.792461 \n", "58 0.778407 0.775646 0.777065 \n", "59 0.616333 0.619881 0.617966 \n", " ... ... ... \n", "\n", " Candidate Name Party Abbreviation \\\n", "0 BISHNU PADA RAY BJP \n", "1 GODAM NAGESH TRS \n", "2 BALKA SUMAN TRS \n", "3 VINOD KUMAR BOINAPALLY TRS \n", "4 KALVAKUNTLA KAVITHA TRS \n", "5 B.B. PATIL TRS \n", "6 KALVAKUNTLA CHANDRASEKHAR RAO TRS \n", "7 CH.MALLA REDDY TDP \n", "8 BANDARU DATTATREYA BJP \n", "9 ASADUDDIN OWAISI AIMIM \n", "10 KONDA VISHWESHWAR REDDY TRS \n", "11 AP JITHENDER REDDY TRS \n", "12 YELLAIAH NANDI INC \n", "13 GUTHA SUKHENDER REDDY INC \n", "14 DR. BOORA NARSAIAH GOUD TRS \n", "15 KADIYAM SRIHARI TRS \n", "16 PROF. AZMEERA SEETARAM NAIK TRS \n", "17 PONGULETI SRINIVASA REDDY YSRCP \n", "18 KOTHAPALLI GEETHA YSRCP \n", "19 RAMMOHAN NAIDU KINJARAPU TDP \n", "20 ASHOK GAJAPATHI RAJU PUSAPATI TDP \n", "21 KAMBHAMPATI HARI BABU BJP \n", "22 MUTTAMSETTI SRINIVASA RAO (AVANTHI) TDP \n", "23 THOTA NARASIMHAM TDP \n", "24 DR PANDULA RAVINDRA BABU TDP \n", "25 MURALI MOHAN MAGANTI TDP \n", "26 GOKARAJU GANGA RAJU BJP \n", "27 MAGANTI VENKATESWARA RAO (BABU) TDP \n", "28 KONAKALLA NARAYANA RAO TDP \n", "29 KESINENI SRINIVAS TDP \n", "30 JAYADEV GALLA TDP \n", "31 SAMBASIVA RAO RAYAPATI TDP \n", "32 MALYADRI SRIRAM TDP \n", "33 Y.V.SUBBA REDDY YSRCP \n", "34 S.P.Y REDDY YSRCP \n", "35 BUTTA RENUKA YSRCP \n", "36 J.C. DIVAKAR REDDI TDP \n", "37 KRISTAPPA NIMMALA TDP \n", "38 Y.S. AVINASH REDDY YSRCP \n", "39 MEKAPATI RAJAMOHAN REDDY YSRCP \n", "40 VARAPRASAD RAO VELAGAPALLI YSRCP \n", "41 P.V.MIDHUN REDDY YSRCP \n", "42 NARAMALLI SIVAPRASAD TDP \n", "43 KIREN RIJIJU BJP \n", "44 NINONG ERING INC \n", "45 RADHESHYAM BISWAS AIUDF \n", "46 SUSHMITA DEV INC \n", "47 BIREN SINGH ENGTI INC \n", "48 BADRUDDIN AJMAL AIUDF \n", "49 NABA KUMAR SARANIA (HIRA) IND \n", "50 SIRAJ UDDIN AJMAL AIUDF \n", "51 BIJOYA CHAKRAVARTY BJP \n", "52 RAMEN DEKA BJP \n", "53 RAM PRASAD SARMAH BJP \n", "54 RAJEN GOHAIN BJP \n", "55 GOURAV GOGOI INC \n", "56 KAMAKHYA PRASAD TASA BJP \n", "57 RAMESWAR TELI BJP \n", "58 SARBANANDA SONOWAL BJP \n", "59 SATISH CHANDRA DUBEY BJP \n", " ... ... \n", "\n", " Party Name Total Votes Polled \n", "0 Bharatiya Janata Party 90969 \n", "1 Telangana Rashtra Samithi 430847 \n", "2 Telangana Rashtra Samithi 565496 \n", "3 Telangana Rashtra Samithi 505783 \n", "4 Telangana Rashtra Samithi 439307 \n", "5 Telangana Rashtra Samithi 508661 \n", "6 Telangana Rashtra Samithi 657492 \n", "7 Telugu Desam 523336 \n", "8 Bharatiya Janata Party 438271 \n", "9 All India Majlis-E-Ittehadul Muslimeen 513868 \n", "10 Telangana Rashtra Samithi 435077 \n", "11 Telangana Rashtra Samithi 334228 \n", "12 Indian National Congress 420075 \n", "13 Indian National Congress 472093 \n", "14 Telangana Rashtra Samithi 448245 \n", "15 Telangana Rashtra Samithi 661639 \n", "16 Telangana Rashtra Samithi 320569 \n", "17 Yuvajana Sramika Rythu Congress Party 421957 \n", "18 Yuvajana Sramika Rythu Congress Party 413191 \n", "19 Telugu Desam 556163 \n", "20 Telugu Desam 536549 \n", "21 Bharatiya Janata Party 566832 \n", "22 Telugu Desam 568463 \n", "23 Telugu Desam 514402 \n", "24 Telugu Desam 594547 \n", "25 Telugu Desam 630573 \n", "26 Bharatiya Janata Party 540306 \n", "27 Telugu Desam 623471 \n", "28 Telugu Desam 587280 \n", "29 Telugu Desam 592696 \n", "30 Telugu Desam 618417 \n", "31 Telugu Desam 632464 \n", "32 Telugu Desam 578145 \n", "33 Yuvajana Sramika Rythu Congress Party 589960 \n", "34 Yuvajana Sramika Rythu Congress Party 622411 \n", "35 Yuvajana Sramika Rythu Congress Party 472782 \n", "36 Telugu Desam 606509 \n", "37 Telugu Desam 604291 \n", "38 Yuvajana Sramika Rythu Congress Party 671983 \n", "39 Yuvajana Sramika Rythu Congress Party 576396 \n", "40 Yuvajana Sramika Rythu Congress Party 580376 \n", "41 Yuvajana Sramika Rythu Congress Party 601752 \n", "42 Telugu Desam 594862 \n", "43 Bharatiya Janata Party 169367 \n", "44 Indian National Congress 118455 \n", "45 All India United Democratic Front 362866 \n", "46 Indian National Congress 336451 \n", "47 Indian National Congress 213152 \n", "48 All India United Democratic Front 592569 \n", "49 Independent 634428 \n", "50 All India United Democratic Front 394702 \n", "51 Bharatiya Janata Party 764985 \n", "52 Bharatiya Janata Party 486357 \n", "53 Bharatiya Janata Party 446511 \n", "54 Bharatiya Janata Party 494146 \n", "55 Indian National Congress 443315 \n", "56 Bharatiya Janata Party 456420 \n", "57 Bharatiya Janata Party 494364 \n", "58 Bharatiya Janata Party 612543 \n", "59 Bharatiya Janata Party 364011 \n", " ... ... \n", "\n", "[543 rows x 15 columns]" ] } ], "prompt_number": 16 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Calculaing the winning margin" ] }, { "cell_type": "code", "collapsed": false, "input": [ "csv_data[\"Winner Percentage\"] = csv_data[\"Total Votes Polled\"] / csv_data[\"Total Voters\"]\n", "csv_data.sort(\"Winner Percentage\", ascending=False)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StatePC NameMale ElectorsMale VotersFemale ElectorsFemale VotersTotal ElectorsTotal VotersMale TurnoutFemale TurnoutTotal TurnoutCandidate NameParty AbbreviationParty NameTotal Votes PolledWinner Percentage
138 Gujarat 24 - Surat 803829 539368 680239 408554 1484068 947922 0.670998 0.600604 0.638732 DARSHANA VIKRAM JARDOSH BJP Bharatiya Janata Party 718412 0.757881
134 Gujarat 20 - Vadodara 849077 625045 789244 536532 1638321 1161577 0.736146 0.679805 0.709005 NARENDRA MODI BJP Bharatiya Janata Party 845464 0.727859
139 Gujarat 25 - Navsari 972090 649206 792532 511541 1764622 1160747 0.667846 0.645452 0.657788 C. R. PATIL BJP Bharatiya Janata Party 820831 0.707158
278 Maharashtra 26 - Mumbai North 972645 527803 811225 418759 1783870 946562 0.542647 0.516206 0.530623 GOPAL CHINAYYA SHETTY BJP Bharatiya Janata Party 664004 0.701490
120 Gujarat 6 - Gandhinagar 900744 620889 833228 514606 1733972 1135495 0.689307 0.617605 0.654852 L.K.ADVANI BJP Bharatiya Janata Party 773539 0.681235
355 Rajasthan 7 - Jaipur 1047468 716874 910350 579932 1957818 1296806 0.684387 0.637043 0.662373 RAMCHARAN BOHARA BJP Bharatiya Janata Party 863358 0.665757
241 Madhya Pradesh 18 - VIDISHA 872410 621326 761960 452147 1634370 1073473 0.712195 0.593400 0.656811 SUSHMA SWARAJ BJP Bharatiya Janata Party 714348 0.665455
364 Rajasthan 16 - Jodhpur 910466 600132 816897 478466 1727363 1078598 0.659148 0.585712 0.624419 GAJENDRASINGH SHEKHAWAT BJP Bharatiya Janata Party 713515 0.661521
370 Rajasthan 22 - Rajsamand 879526 508738 819875 473381 1699401 982119 0.578423 0.577382 0.577921 HARIOM SINGH RATHORE BJP Bharatiya Janata Party 644794 0.656533
415 Tripura 2 - Tripura East 581599 489156 558670 461954 1140269 951110 0.841054 0.826882 0.834110 JITENDRA CHOUDHURY CPM Communist Party of India (Marxist) 623771 0.655835
255 Maharashtra 3 - Jalgaon 909027 594892 798906 395440 1707933 990332 0.654427 0.494977 0.579842 A.T. NANA PATIL BJP Bharatiya Janata Party 647773 0.654097
363 Rajasthan 15 - Pali 994082 581099 898948 514488 1893030 1095587 0.584558 0.572322 0.578748 P P CHOUDHARY BJP Bharatiya Janata Party 711772 0.649672
310 NCT OF Delhi 4 - NEW DELHI 830322 546295 659825 423517 1490147 969812 0.657932 0.641863 0.650816 UDIT RAJ BJP Bharatiya Janata Party 629860 0.649466
249 Madhya Pradesh 26 - INDORE 1106461 736759 1008842 580058 2115303 1316817 0.665870 0.574974 0.622519 SUMITRA MAHAJAN (TAI) BJP Bharatiya Janata Party 854972 0.649272
240 Madhya Pradesh 17 - HOSHANGABAD 835492 593957 732635 437218 1568127 1031175 0.710907 0.596775 0.657584 UDAY PRATAP SINGH BJP Bharatiya Janata Party 669128 0.648899
313 NCT OF Delhi 7 - SOUTH DELHI 1005289 638406 747452 464004 1752741 1102410 0.635047 0.620781 0.628963 NEIPHIU RIO NPF Naga Peoples Front 713372 0.647102
121 Gujarat 7 - Ahmedabad East 852765 560074 749067 425451 1601832 985525 0.656774 0.567975 0.615249 PARESH RAWAL BJP Bharatiya Janata Party 633582 0.642888
122 Gujarat 8 - Ahmedabad West 800933 534008 733467 430601 1534400 964609 0.666732 0.587076 0.628656 DR. KIRIT P SOLANKI BJP Bharatiya Janata Party 617104 0.639745
451 Uttar Pradesh 36 - Rae Bareli 857875 437735 737079 387401 1594954 825136 0.510255 0.525590 0.517342 SONIA GANDHI INC Indian National Congress 526434 0.637997
242 Madhya Pradesh 19 - BHOPAL 1039004 639683 917932 490499 1956936 1130182 0.615669 0.534352 0.577526 ALOK SANJAR BJP Bharatiya Janata Party 714178 0.631914
245 Madhya Pradesh 22 - UJJAIN 790889 571525 734592 444880 1525481 1016405 0.722636 0.605615 0.666285 PROF. CHINTAMANI MALVIYA BJP Bharatiya Janata Party 641101 0.630753
350 Rajasthan 2 - Bikaner 847064 526983 744004 402768 1591068 929751 0.622129 0.541352 0.584357 ARJUN RAM MEGHWAL BJP Bharatiya Janata Party 584932 0.629128
125 Gujarat 11 - Porbandar 807383 471495 731840 337938 1539223 809433 0.583979 0.461765 0.525871 RADADIYA VITHALBHAI HANSRAJBHAI BJP Bharatiya Janata Party 508437 0.628140
414 Tripura 1 - Tripura West 635976 546566 612574 526183 1248550 1072749 0.859413 0.858971 0.859196 SANKAR PRASAD DATTA CPM Communist Party of India (Marxist) 671665 0.626116
354 Rajasthan 6 - Jaipur Rural 906275 554084 793187 459607 1699462 1013691 0.611386 0.579443 0.596478 RAJYAVARDHAN SINGH RATHORE BJP Bharatiya Janata Party 632930 0.624382
252 Madhya Pradesh 29 - BETUL 836835 574150 770987 473569 1607822 1047719 0.686097 0.614237 0.651639 JYOTI DHURVE BJP Bharatiya Janata Party 643651 0.614336
280 Maharashtra 28 - Mumbai North East 923016 485775 745341 375986 1668357 861761 0.526291 0.504448 0.516533 KIRIT SOMAIYA BJP Bharatiya Janata Party 525285 0.609548
307 NCT OF Delhi 1 - CHANDNI CHOWK 791317 550825 655911 431038 1447228 981863 0.696086 0.657159 0.678444 MANOJ TIWARI BJP Bharatiya Janata Party 596125 0.607137
356 Rajasthan 8 - Alwar 871339 587242 756728 475063 1628067 1062305 0.673954 0.627786 0.652495 CHAND NATH BJP Bharatiya Janata Party 642278 0.604608
332 Orissa 19 - Aska 750999 449485 657781 446796 1408780 896281 0.598516 0.679247 0.636211 LADU KISHORE SWAIN BJD Biju Janata Dal 541473 0.604133
357 Rajasthan 9 - BHARATPUR 911069 548105 775828 414327 1686897 962432 0.601606 0.534045 0.570534 BAHADUR SINGH BJP Bharatiya Janata Party 579825 0.602458
246 Madhya Pradesh 23 - MANDSOUR 838076 640484 788495 520865 1626571 1161349 0.764231 0.660581 0.713986 SUDHIR GUPTA BJP Bharatiya Janata Party 698335 0.601314
256 Maharashtra 4 - Raver 842682 554159 750688 455054 1593370 1009213 0.657613 0.606183 0.633383 KHADASE RAKSHA NIKHIL BJP Bharatiya Janata Party 605452 0.599925
369 Rajasthan 21 - Chittorgarh 928572 632047 889575 540582 1818147 1172629 0.680666 0.607686 0.644958 CHANDRA PRAKASH JOSHI BJP Bharatiya Janata Party 703236 0.599709
129 Gujarat 15 - Bhavnagar 834571 519525 759960 397877 1594531 917402 0.622505 0.523550 0.575343 DR. BHARATIBEN DHIRUBHAI SHIYAL BJP Bharatiya Janata Party 549529 0.599006
429 Uttar Pradesh 14 - Bulandshahr 930831 549484 805616 460226 1736447 1009710 0.590316 0.571272 0.581480 BHOLA SINGH BJP Bharatiya Janata Party 604449 0.598636
436 Uttar Pradesh 21 - Mainpuri 900568 580173 752497 419092 1653065 999265 0.644230 0.556935 0.604492 MULAYAM SINGH YADAV SP Samajwadi Party 595918 0.596356
115 Gujarat 1 - Kachchh 806343 520905 727439 425335 1533782 946240 0.646009 0.584702 0.616933 CHAVDA VINOD LAKHAMASHI BJP Bharatiya Janata Party 562855 0.594833
497 Uttarakhand 2 - Garhwal 652891 323143 616192 358881 1269083 682024 0.494942 0.582417 0.537415 (MAJ GEN (RETD.) ) BHUWAN CHANDRA KHANDURI (AVSM) BJP Bharatiya Janata Party 405690 0.594832
131 Gujarat 17 - Kheda 833232 542955 766244 412951 1599476 955906 0.651625 0.538929 0.597637 CHAUHAN DEVUSINH JESINGBHAI (CHAUHAN DEVUSINH) BJP Bharatiya Janata Party 568235 0.594447
288 Maharashtra 36 - Shirur 973236 613828 850876 475678 1824112 1089506 0.630708 0.559045 0.597280 ADHALRAO SHIVAJI DATTATREY SHS Shivsena 643415 0.590557
243 Madhya Pradesh 20 - RAJGARH 827001 598652 751747 412072 1578748 1010724 0.723883 0.548153 0.640206 RODMAL NAGAR BJP Bharatiya Janata Party 596727 0.590396
418 Uttar Pradesh 3 - Muzaffarnagar 875186 620606 713297 486828 1588483 1107434 0.709113 0.682504 0.697165 (DR.) SANJEEV KUMAR BALYAN BJP Bharatiya Janata Party 653391 0.590004
373 Rajasthan 25 - JHALAWAR-BARAN 868977 635659 800865 510705 1669842 1146364 0.731503 0.637692 0.686510 DUSHYANT SINGH BJP Bharatiya Janata Party 676102 0.589780
124 Gujarat 10 - Rajkot 864760 593333 790957 463736 1655717 1057069 0.686124 0.586297 0.638436 KUNDARIYA MOHANBHAI KALYANJIBHAI BJP Bharatiya Janata Party 621524 0.587969
113 Goa 1 - North Goa 255870 200184 259571 206447 515441 406631 0.782366 0.795339 0.788899 SHRIPAD YESSO NAIK BJP Bharatiya Janata Party 237903 0.585059
296 Maharashtra 44 - Sangli 861582 558707 787525 487952 1649107 1046659 0.648466 0.619602 0.634682 SANJAYKAKA PATIL BJP Bharatiya Janata Party 611563 0.584300
293 Maharashtra 41 - Latur 897919 578053 784688 479103 1682607 1057156 0.643770 0.610565 0.628285 DR. SUNIL BALIRAM GAIKWAD BJP Bharatiya Janata Party 616509 0.583177
244 Madhya Pradesh 21 - DEWAS 843555 654121 773660 489847 1617215 1143968 0.775434 0.633155 0.707369 MANOHAR UNTWAL BJP Bharatiya Janata Party 665646 0.581875
499 Uttarakhand 4 - Nainital-udhamsingh Nagar 857781 590700 753029 510735 1610810 1101435 0.688637 0.678241 0.683777 BHAGAT SINGH KOSHYARI BJP Bharatiya Janata Party 636769 0.578127
118 Gujarat 4 - Mahesana 777821 544710 720398 459548 1498219 1004258 0.700303 0.637908 0.670301 PATEL JAYSHREEBEN KANUBHAI BJP Bharatiya Janata Party 580250 0.577790
150 Haryana 10 - Faridabad 969407 651411 770945 479315 1740352 1130726 0.671969 0.621724 0.649711 KRISHAN PAL BJP Bharatiya Janata Party 652516 0.577077
496 Uttarakhand 1 - Tehri Garhwal 712039 403088 640806 373126 1352845 776214 0.566104 0.582276 0.573764 MALA RAJYA LAXMI SHAH BJP Bharatiya Janata Party 446733 0.575528
286 Maharashtra 34 - Pune 949567 533686 886269 459588 1835836 993274 0.562031 0.518565 0.541047 ANIL SHIROLE BJP Bharatiya Janata Party 569825 0.573684
116 Gujarat 2 - Banaskantha 796124 513893 719587 372741 1515711 886634 0.645494 0.517993 0.584962 CHAUDHARY HARIBHAI PARTHIBHAI BJP Bharatiya Janata Party 507856 0.572791
290 Maharashtra 38 - Shirdi 765921 520229 693791 412416 1459712 932645 0.679220 0.594438 0.638924 LOKHANDE SADASHIV KISAN SHS Shivsena 532936 0.571424
371 Rajasthan 23 - Bhilwara 904030 581524 850847 522566 1754877 1104090 0.643257 0.614172 0.629155 SUBHASH BAHERIA BJP Bharatiya Janata Party 630317 0.570893
151 Himachal Pradesh 1 - Kangra 645888 392927 612713 406518 1258601 799445 0.608352 0.663472 0.635185 SHANTA KUMAR BJP Bharatiya Janata Party 456163 0.570600
251 Madhya Pradesh 28 - KHANDWA 912747 677574 846663 579753 1759410 1257327 0.742346 0.684751 0.714630 NANDKUMAR SINGH CHOUHAN (NANDU BHAIYA) BJP Bharatiya Janata Party 717357 0.570541
289 Maharashtra 37 - Ahmadnagar 898819 595960 800589 466358 1699408 1062318 0.663048 0.582519 0.625111 GANDHI DILIPKUMAR MANSUKHLAL BJP Bharatiya Janata Party 605185 0.569683
................................................
\n", "

543 rows \u00d7 16 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 17, "text": [ " State PC Name Male Electors \\\n", "138 Gujarat 24 - Surat 803829 \n", "134 Gujarat 20 - Vadodara 849077 \n", "139 Gujarat 25 - Navsari 972090 \n", "278 Maharashtra 26 - Mumbai North 972645 \n", "120 Gujarat 6 - Gandhinagar 900744 \n", "355 Rajasthan 7 - Jaipur 1047468 \n", "241 Madhya Pradesh 18 - VIDISHA 872410 \n", "364 Rajasthan 16 - Jodhpur 910466 \n", "370 Rajasthan 22 - Rajsamand 879526 \n", "415 Tripura 2 - Tripura East 581599 \n", "255 Maharashtra 3 - Jalgaon 909027 \n", "363 Rajasthan 15 - Pali 994082 \n", "310 NCT OF Delhi 4 - NEW DELHI 830322 \n", "249 Madhya Pradesh 26 - INDORE 1106461 \n", "240 Madhya Pradesh 17 - HOSHANGABAD 835492 \n", "313 NCT OF Delhi 7 - SOUTH DELHI 1005289 \n", "121 Gujarat 7 - Ahmedabad East 852765 \n", "122 Gujarat 8 - Ahmedabad West 800933 \n", "451 Uttar Pradesh 36 - Rae Bareli 857875 \n", "242 Madhya Pradesh 19 - BHOPAL 1039004 \n", "245 Madhya Pradesh 22 - UJJAIN 790889 \n", "350 Rajasthan 2 - Bikaner 847064 \n", "125 Gujarat 11 - Porbandar 807383 \n", "414 Tripura 1 - Tripura West 635976 \n", "354 Rajasthan 6 - Jaipur Rural 906275 \n", "252 Madhya Pradesh 29 - BETUL 836835 \n", "280 Maharashtra 28 - Mumbai North East 923016 \n", "307 NCT OF Delhi 1 - CHANDNI CHOWK 791317 \n", "356 Rajasthan 8 - Alwar 871339 \n", "332 Orissa 19 - Aska 750999 \n", "357 Rajasthan 9 - BHARATPUR 911069 \n", "246 Madhya Pradesh 23 - MANDSOUR 838076 \n", "256 Maharashtra 4 - Raver 842682 \n", "369 Rajasthan 21 - Chittorgarh 928572 \n", "129 Gujarat 15 - Bhavnagar 834571 \n", "429 Uttar Pradesh 14 - Bulandshahr 930831 \n", "436 Uttar Pradesh 21 - Mainpuri 900568 \n", "115 Gujarat 1 - Kachchh 806343 \n", "497 Uttarakhand 2 - Garhwal 652891 \n", "131 Gujarat 17 - Kheda 833232 \n", "288 Maharashtra 36 - Shirur 973236 \n", "243 Madhya Pradesh 20 - RAJGARH 827001 \n", "418 Uttar Pradesh 3 - Muzaffarnagar 875186 \n", "373 Rajasthan 25 - JHALAWAR-BARAN 868977 \n", "124 Gujarat 10 - Rajkot 864760 \n", "113 Goa 1 - North Goa 255870 \n", "296 Maharashtra 44 - Sangli 861582 \n", "293 Maharashtra 41 - Latur 897919 \n", "244 Madhya Pradesh 21 - DEWAS 843555 \n", "499 Uttarakhand 4 - Nainital-udhamsingh Nagar 857781 \n", "118 Gujarat 4 - Mahesana 777821 \n", "150 Haryana 10 - Faridabad 969407 \n", "496 Uttarakhand 1 - Tehri Garhwal 712039 \n", "286 Maharashtra 34 - Pune 949567 \n", "116 Gujarat 2 - Banaskantha 796124 \n", "290 Maharashtra 38 - Shirdi 765921 \n", "371 Rajasthan 23 - Bhilwara 904030 \n", "151 Himachal Pradesh 1 - Kangra 645888 \n", "251 Madhya Pradesh 28 - KHANDWA 912747 \n", "289 Maharashtra 37 - Ahmadnagar 898819 \n", " ... ... ... \n", "\n", " Male Voters Female Electors Female Voters Total Electors \\\n", "138 539368 680239 408554 1484068 \n", "134 625045 789244 536532 1638321 \n", "139 649206 792532 511541 1764622 \n", "278 527803 811225 418759 1783870 \n", "120 620889 833228 514606 1733972 \n", "355 716874 910350 579932 1957818 \n", "241 621326 761960 452147 1634370 \n", "364 600132 816897 478466 1727363 \n", "370 508738 819875 473381 1699401 \n", "415 489156 558670 461954 1140269 \n", "255 594892 798906 395440 1707933 \n", "363 581099 898948 514488 1893030 \n", "310 546295 659825 423517 1490147 \n", "249 736759 1008842 580058 2115303 \n", "240 593957 732635 437218 1568127 \n", "313 638406 747452 464004 1752741 \n", "121 560074 749067 425451 1601832 \n", "122 534008 733467 430601 1534400 \n", "451 437735 737079 387401 1594954 \n", "242 639683 917932 490499 1956936 \n", "245 571525 734592 444880 1525481 \n", "350 526983 744004 402768 1591068 \n", "125 471495 731840 337938 1539223 \n", "414 546566 612574 526183 1248550 \n", "354 554084 793187 459607 1699462 \n", "252 574150 770987 473569 1607822 \n", "280 485775 745341 375986 1668357 \n", "307 550825 655911 431038 1447228 \n", "356 587242 756728 475063 1628067 \n", "332 449485 657781 446796 1408780 \n", "357 548105 775828 414327 1686897 \n", "246 640484 788495 520865 1626571 \n", "256 554159 750688 455054 1593370 \n", "369 632047 889575 540582 1818147 \n", "129 519525 759960 397877 1594531 \n", "429 549484 805616 460226 1736447 \n", "436 580173 752497 419092 1653065 \n", "115 520905 727439 425335 1533782 \n", "497 323143 616192 358881 1269083 \n", "131 542955 766244 412951 1599476 \n", "288 613828 850876 475678 1824112 \n", "243 598652 751747 412072 1578748 \n", "418 620606 713297 486828 1588483 \n", "373 635659 800865 510705 1669842 \n", "124 593333 790957 463736 1655717 \n", "113 200184 259571 206447 515441 \n", "296 558707 787525 487952 1649107 \n", "293 578053 784688 479103 1682607 \n", "244 654121 773660 489847 1617215 \n", "499 590700 753029 510735 1610810 \n", "118 544710 720398 459548 1498219 \n", "150 651411 770945 479315 1740352 \n", "496 403088 640806 373126 1352845 \n", "286 533686 886269 459588 1835836 \n", "116 513893 719587 372741 1515711 \n", "290 520229 693791 412416 1459712 \n", "371 581524 850847 522566 1754877 \n", "151 392927 612713 406518 1258601 \n", "251 677574 846663 579753 1759410 \n", "289 595960 800589 466358 1699408 \n", " ... ... ... ... \n", "\n", " Total Voters Male Turnout Female Turnout Total Turnout \\\n", "138 947922 0.670998 0.600604 0.638732 \n", "134 1161577 0.736146 0.679805 0.709005 \n", "139 1160747 0.667846 0.645452 0.657788 \n", "278 946562 0.542647 0.516206 0.530623 \n", "120 1135495 0.689307 0.617605 0.654852 \n", "355 1296806 0.684387 0.637043 0.662373 \n", "241 1073473 0.712195 0.593400 0.656811 \n", "364 1078598 0.659148 0.585712 0.624419 \n", "370 982119 0.578423 0.577382 0.577921 \n", "415 951110 0.841054 0.826882 0.834110 \n", "255 990332 0.654427 0.494977 0.579842 \n", "363 1095587 0.584558 0.572322 0.578748 \n", "310 969812 0.657932 0.641863 0.650816 \n", "249 1316817 0.665870 0.574974 0.622519 \n", "240 1031175 0.710907 0.596775 0.657584 \n", "313 1102410 0.635047 0.620781 0.628963 \n", "121 985525 0.656774 0.567975 0.615249 \n", "122 964609 0.666732 0.587076 0.628656 \n", "451 825136 0.510255 0.525590 0.517342 \n", "242 1130182 0.615669 0.534352 0.577526 \n", "245 1016405 0.722636 0.605615 0.666285 \n", "350 929751 0.622129 0.541352 0.584357 \n", "125 809433 0.583979 0.461765 0.525871 \n", "414 1072749 0.859413 0.858971 0.859196 \n", "354 1013691 0.611386 0.579443 0.596478 \n", "252 1047719 0.686097 0.614237 0.651639 \n", "280 861761 0.526291 0.504448 0.516533 \n", "307 981863 0.696086 0.657159 0.678444 \n", "356 1062305 0.673954 0.627786 0.652495 \n", "332 896281 0.598516 0.679247 0.636211 \n", "357 962432 0.601606 0.534045 0.570534 \n", "246 1161349 0.764231 0.660581 0.713986 \n", "256 1009213 0.657613 0.606183 0.633383 \n", "369 1172629 0.680666 0.607686 0.644958 \n", "129 917402 0.622505 0.523550 0.575343 \n", "429 1009710 0.590316 0.571272 0.581480 \n", "436 999265 0.644230 0.556935 0.604492 \n", "115 946240 0.646009 0.584702 0.616933 \n", "497 682024 0.494942 0.582417 0.537415 \n", "131 955906 0.651625 0.538929 0.597637 \n", "288 1089506 0.630708 0.559045 0.597280 \n", "243 1010724 0.723883 0.548153 0.640206 \n", "418 1107434 0.709113 0.682504 0.697165 \n", "373 1146364 0.731503 0.637692 0.686510 \n", "124 1057069 0.686124 0.586297 0.638436 \n", "113 406631 0.782366 0.795339 0.788899 \n", "296 1046659 0.648466 0.619602 0.634682 \n", "293 1057156 0.643770 0.610565 0.628285 \n", "244 1143968 0.775434 0.633155 0.707369 \n", "499 1101435 0.688637 0.678241 0.683777 \n", "118 1004258 0.700303 0.637908 0.670301 \n", "150 1130726 0.671969 0.621724 0.649711 \n", "496 776214 0.566104 0.582276 0.573764 \n", "286 993274 0.562031 0.518565 0.541047 \n", "116 886634 0.645494 0.517993 0.584962 \n", "290 932645 0.679220 0.594438 0.638924 \n", "371 1104090 0.643257 0.614172 0.629155 \n", "151 799445 0.608352 0.663472 0.635185 \n", "251 1257327 0.742346 0.684751 0.714630 \n", "289 1062318 0.663048 0.582519 0.625111 \n", " ... ... ... ... \n", "\n", " Candidate Name Party Abbreviation \\\n", "138 DARSHANA VIKRAM JARDOSH BJP \n", "134 NARENDRA MODI BJP \n", "139 C. R. PATIL BJP \n", "278 GOPAL CHINAYYA SHETTY BJP \n", "120 L.K.ADVANI BJP \n", "355 RAMCHARAN BOHARA BJP \n", "241 SUSHMA SWARAJ BJP \n", "364 GAJENDRASINGH SHEKHAWAT BJP \n", "370 HARIOM SINGH RATHORE BJP \n", "415 JITENDRA CHOUDHURY CPM \n", "255 A.T. NANA PATIL BJP \n", "363 P P CHOUDHARY BJP \n", "310 UDIT RAJ BJP \n", "249 SUMITRA MAHAJAN (TAI) BJP \n", "240 UDAY PRATAP SINGH BJP \n", "313 NEIPHIU RIO NPF \n", "121 PARESH RAWAL BJP \n", "122 DR. KIRIT P SOLANKI BJP \n", "451 SONIA GANDHI INC \n", "242 ALOK SANJAR BJP \n", "245 PROF. CHINTAMANI MALVIYA BJP \n", "350 ARJUN RAM MEGHWAL BJP \n", "125 RADADIYA VITHALBHAI HANSRAJBHAI BJP \n", "414 SANKAR PRASAD DATTA CPM \n", "354 RAJYAVARDHAN SINGH RATHORE BJP \n", "252 JYOTI DHURVE BJP \n", "280 KIRIT SOMAIYA BJP \n", "307 MANOJ TIWARI BJP \n", "356 CHAND NATH BJP \n", "332 LADU KISHORE SWAIN BJD \n", "357 BAHADUR SINGH BJP \n", "246 SUDHIR GUPTA BJP \n", "256 KHADASE RAKSHA NIKHIL BJP \n", "369 CHANDRA PRAKASH JOSHI BJP \n", "129 DR. BHARATIBEN DHIRUBHAI SHIYAL BJP \n", "429 BHOLA SINGH BJP \n", "436 MULAYAM SINGH YADAV SP \n", "115 CHAVDA VINOD LAKHAMASHI BJP \n", "497 (MAJ GEN (RETD.) ) BHUWAN CHANDRA KHANDURI (AVSM) BJP \n", "131 CHAUHAN DEVUSINH JESINGBHAI (CHAUHAN DEVUSINH) BJP \n", "288 ADHALRAO SHIVAJI DATTATREY SHS \n", "243 RODMAL NAGAR BJP \n", "418 (DR.) SANJEEV KUMAR BALYAN BJP \n", "373 DUSHYANT SINGH BJP \n", "124 KUNDARIYA MOHANBHAI KALYANJIBHAI BJP \n", "113 SHRIPAD YESSO NAIK BJP \n", "296 SANJAYKAKA PATIL BJP \n", "293 DR. SUNIL BALIRAM GAIKWAD BJP \n", "244 MANOHAR UNTWAL BJP \n", "499 BHAGAT SINGH KOSHYARI BJP \n", "118 PATEL JAYSHREEBEN KANUBHAI BJP \n", "150 KRISHAN PAL BJP \n", "496 MALA RAJYA LAXMI SHAH BJP \n", "286 ANIL SHIROLE BJP \n", "116 CHAUDHARY HARIBHAI PARTHIBHAI BJP \n", "290 LOKHANDE SADASHIV KISAN SHS \n", "371 SUBHASH BAHERIA BJP \n", "151 SHANTA KUMAR BJP \n", "251 NANDKUMAR SINGH CHOUHAN (NANDU BHAIYA) BJP \n", "289 GANDHI DILIPKUMAR MANSUKHLAL BJP \n", " ... ... \n", "\n", " Party Name Total Votes Polled \\\n", "138 Bharatiya Janata Party 718412 \n", "134 Bharatiya Janata Party 845464 \n", "139 Bharatiya Janata Party 820831 \n", "278 Bharatiya Janata Party 664004 \n", "120 Bharatiya Janata Party 773539 \n", "355 Bharatiya Janata Party 863358 \n", "241 Bharatiya Janata Party 714348 \n", "364 Bharatiya Janata Party 713515 \n", "370 Bharatiya Janata Party 644794 \n", "415 Communist Party of India (Marxist) 623771 \n", "255 Bharatiya Janata Party 647773 \n", "363 Bharatiya Janata Party 711772 \n", "310 Bharatiya Janata Party 629860 \n", "249 Bharatiya Janata Party 854972 \n", "240 Bharatiya Janata Party 669128 \n", "313 Naga Peoples Front 713372 \n", "121 Bharatiya Janata Party 633582 \n", "122 Bharatiya Janata Party 617104 \n", "451 Indian National Congress 526434 \n", "242 Bharatiya Janata Party 714178 \n", "245 Bharatiya Janata Party 641101 \n", "350 Bharatiya Janata Party 584932 \n", "125 Bharatiya Janata Party 508437 \n", "414 Communist Party of India (Marxist) 671665 \n", "354 Bharatiya Janata Party 632930 \n", "252 Bharatiya Janata Party 643651 \n", "280 Bharatiya Janata Party 525285 \n", "307 Bharatiya Janata Party 596125 \n", "356 Bharatiya Janata Party 642278 \n", "332 Biju Janata Dal 541473 \n", "357 Bharatiya Janata Party 579825 \n", "246 Bharatiya Janata Party 698335 \n", "256 Bharatiya Janata Party 605452 \n", "369 Bharatiya Janata Party 703236 \n", "129 Bharatiya Janata Party 549529 \n", "429 Bharatiya Janata Party 604449 \n", "436 Samajwadi Party 595918 \n", "115 Bharatiya Janata Party 562855 \n", "497 Bharatiya Janata Party 405690 \n", "131 Bharatiya Janata Party 568235 \n", "288 Shivsena 643415 \n", "243 Bharatiya Janata Party 596727 \n", "418 Bharatiya Janata Party 653391 \n", "373 Bharatiya Janata Party 676102 \n", "124 Bharatiya Janata Party 621524 \n", "113 Bharatiya Janata Party 237903 \n", "296 Bharatiya Janata Party 611563 \n", "293 Bharatiya Janata Party 616509 \n", "244 Bharatiya Janata Party 665646 \n", "499 Bharatiya Janata Party 636769 \n", "118 Bharatiya Janata Party 580250 \n", "150 Bharatiya Janata Party 652516 \n", "496 Bharatiya Janata Party 446733 \n", "286 Bharatiya Janata Party 569825 \n", "116 Bharatiya Janata Party 507856 \n", "290 Shivsena 532936 \n", "371 Bharatiya Janata Party 630317 \n", "151 Bharatiya Janata Party 456163 \n", "251 Bharatiya Janata Party 717357 \n", "289 Bharatiya Janata Party 605185 \n", " ... ... \n", "\n", " Winner Percentage \n", "138 0.757881 \n", "134 0.727859 \n", "139 0.707158 \n", "278 0.701490 \n", "120 0.681235 \n", "355 0.665757 \n", "241 0.665455 \n", "364 0.661521 \n", "370 0.656533 \n", "415 0.655835 \n", "255 0.654097 \n", "363 0.649672 \n", "310 0.649466 \n", "249 0.649272 \n", "240 0.648899 \n", "313 0.647102 \n", "121 0.642888 \n", "122 0.639745 \n", "451 0.637997 \n", "242 0.631914 \n", "245 0.630753 \n", "350 0.629128 \n", "125 0.628140 \n", "414 0.626116 \n", "354 0.624382 \n", "252 0.614336 \n", "280 0.609548 \n", "307 0.607137 \n", "356 0.604608 \n", "332 0.604133 \n", "357 0.602458 \n", "246 0.601314 \n", "256 0.599925 \n", "369 0.599709 \n", "129 0.599006 \n", "429 0.598636 \n", "436 0.596356 \n", "115 0.594833 \n", "497 0.594832 \n", "131 0.594447 \n", "288 0.590557 \n", "243 0.590396 \n", "418 0.590004 \n", "373 0.589780 \n", "124 0.587969 \n", "113 0.585059 \n", "296 0.584300 \n", "293 0.583177 \n", "244 0.581875 \n", "499 0.578127 \n", "118 0.577790 \n", "150 0.577077 \n", "496 0.575528 \n", "286 0.573684 \n", "116 0.572791 \n", "290 0.571424 \n", "371 0.570893 \n", "151 0.570600 \n", "251 0.570541 \n", "289 0.569683 \n", " ... \n", "\n", "[543 rows x 16 columns]" ] } ], "prompt_number": 17 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Analyzing Winners By Party" ] }, { "cell_type": "code", "collapsed": false, "input": [ "results = pd.DataFrame(csv_data[\"Party Abbreviation\"].value_counts(), columns=[\"Seats\"])\n", "results[\"Seats Percentage\"] = results[\"Seats\"] / len(winners)\n", "results" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SeatsSeats Percentage
BJP 282 0.519337
INC 44 0.081031
ADMK 37 0.068140
AITC 34 0.062615
BJD 20 0.036832
SHS 18 0.033149
TDP 16 0.029466
TRS 11 0.020258
CPM 9 0.016575
YSRCP 9 0.016575
LJP 6 0.011050
NCP 6 0.011050
SP 5 0.009208
AAAP 4 0.007366
RJD 4 0.007366
SAD 4 0.007366
AIUDF 3 0.005525
IND 3 0.005525
BLSP 3 0.005525
JKPDP 3 0.005525
INLD 2 0.003683
JMM 2 0.003683
IUML 2 0.003683
JD(U) 2 0.003683
AD 2 0.003683
JD(S) 2 0.003683
RSP 1 0.001842
KEC(M) 1 0.001842
CPI 1 0.001842
SDF 1 0.001842
AINRC 1 0.001842
SWP 1 0.001842
NPEP 1 0.001842
AIMIM 1 0.001842
NPF 1 0.001842
PMK 1 0.001842
\n", "

36 rows \u00d7 2 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 18, "text": [ " Seats Seats Percentage\n", "BJP 282 0.519337\n", "INC 44 0.081031\n", "ADMK 37 0.068140\n", "AITC 34 0.062615\n", "BJD 20 0.036832\n", "SHS 18 0.033149\n", "TDP 16 0.029466\n", "TRS 11 0.020258\n", "CPM 9 0.016575\n", "YSRCP 9 0.016575\n", "LJP 6 0.011050\n", "NCP 6 0.011050\n", "SP 5 0.009208\n", "AAAP 4 0.007366\n", "RJD 4 0.007366\n", "SAD 4 0.007366\n", "AIUDF 3 0.005525\n", "IND 3 0.005525\n", "BLSP 3 0.005525\n", "JKPDP 3 0.005525\n", "INLD 2 0.003683\n", "JMM 2 0.003683\n", "IUML 2 0.003683\n", "JD(U) 2 0.003683\n", "AD 2 0.003683\n", "JD(S) 2 0.003683\n", "RSP 1 0.001842\n", "KEC(M) 1 0.001842\n", "CPI 1 0.001842\n", "SDF 1 0.001842\n", "AINRC 1 0.001842\n", "SWP 1 0.001842\n", "NPEP 1 0.001842\n", "AIMIM 1 0.001842\n", "NPF 1 0.001842\n", "PMK 1 0.001842\n", "\n", "[36 rows x 2 columns]" ] } ], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": [ "all_votes = pd.pivot_table(results_data, values=\"Total Votes Polled\", rows=\"Party Abbreviation\", aggfunc=\"sum\")\n", "all_votes_average = pd.pivot_table(results_data, values=\"Total Votes Polled\", rows=\"Party Abbreviation\", aggfunc=\"mean\")" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "get_total_votes = lambda x: all_votes[x]\n", "get_average_votes = lambda x: all_votes_average[x]\n", "\n", "results[\"Total Votes\"] = pd.Series(results.index.values).apply(get_total_votes).values\n", "results[\"Average Votes\"] = pd.Series(results.index.values).apply(get_average_votes).values\n", "results" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SeatsSeats PercentageTotal VotesAverage Votes
BJP 282 0.519337 171657549 401069.039720
INC 44 0.081031 106938242 230470.349138
ADMK 37 0.068140 18115825 452895.625000
AITC 34 0.062615 21259681 162287.641221
BJD 20 0.036832 9491497 451976.047619
SHS 18 0.033149 10262982 176947.965517
TDP 16 0.029466 14094545 469818.166667
TRS 11 0.020258 6736490 396264.117647
CPM 9 0.016575 17986773 193406.161290
YSRCP 9 0.016575 13991280 368191.578947
LJP 6 0.011050 2295929 327989.857143
NCP 6 0.011050 8635554 239876.500000
SP 5 0.009208 18672916 94786.375635
AAAP 4 0.007366 11325635 26216.747685
RJD 4 0.007366 7442313 248077.100000
SAD 4 0.007366 3636148 363614.800000
AIUDF 3 0.005525 2333040 129613.333333
IND 3 0.005525 16743719 5175.801855
BLSP 3 0.005525 1078473 269618.250000
JKPDP 3 0.005525 732644 146528.800000
INLD 2 0.003683 2799899 279989.900000
JMM 2 0.003683 1637990 77999.523810
IUML 2 0.003683 1100096 44003.840000
JD(U) 2 0.003683 5992196 64432.215054
AD 2 0.003683 821820 117402.857143
JD(S) 2 0.003683 3731481 109749.441176
RSP 1 0.001842 1666380 277730.000000
KEC(M) 1 0.001842 424194 424194.000000
CPI 1 0.001842 4327298 64586.537313
SDF 1 0.001842 163698 163698.000000
AINRC 1 0.001842 255826 255826.000000
SWP 1 0.001842 1105073 552536.500000
NPEP 1 0.001842 576444 82349.142857
AIMIM 1 0.001842 685729 137145.800000
NPF 1 0.001842 994505 497252.500000
PMK 1 0.001842 1827566 203062.888889
\n", "

36 rows \u00d7 4 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 20, "text": [ " Seats Seats Percentage Total Votes Average Votes\n", "BJP 282 0.519337 171657549 401069.039720\n", "INC 44 0.081031 106938242 230470.349138\n", "ADMK 37 0.068140 18115825 452895.625000\n", "AITC 34 0.062615 21259681 162287.641221\n", "BJD 20 0.036832 9491497 451976.047619\n", "SHS 18 0.033149 10262982 176947.965517\n", "TDP 16 0.029466 14094545 469818.166667\n", "TRS 11 0.020258 6736490 396264.117647\n", "CPM 9 0.016575 17986773 193406.161290\n", "YSRCP 9 0.016575 13991280 368191.578947\n", "LJP 6 0.011050 2295929 327989.857143\n", "NCP 6 0.011050 8635554 239876.500000\n", "SP 5 0.009208 18672916 94786.375635\n", "AAAP 4 0.007366 11325635 26216.747685\n", "RJD 4 0.007366 7442313 248077.100000\n", "SAD 4 0.007366 3636148 363614.800000\n", "AIUDF 3 0.005525 2333040 129613.333333\n", "IND 3 0.005525 16743719 5175.801855\n", "BLSP 3 0.005525 1078473 269618.250000\n", "JKPDP 3 0.005525 732644 146528.800000\n", "INLD 2 0.003683 2799899 279989.900000\n", "JMM 2 0.003683 1637990 77999.523810\n", "IUML 2 0.003683 1100096 44003.840000\n", "JD(U) 2 0.003683 5992196 64432.215054\n", "AD 2 0.003683 821820 117402.857143\n", "JD(S) 2 0.003683 3731481 109749.441176\n", "RSP 1 0.001842 1666380 277730.000000\n", "KEC(M) 1 0.001842 424194 424194.000000\n", "CPI 1 0.001842 4327298 64586.537313\n", "SDF 1 0.001842 163698 163698.000000\n", "AINRC 1 0.001842 255826 255826.000000\n", "SWP 1 0.001842 1105073 552536.500000\n", "NPEP 1 0.001842 576444 82349.142857\n", "AIMIM 1 0.001842 685729 137145.800000\n", "NPF 1 0.001842 994505 497252.500000\n", "PMK 1 0.001842 1827566 203062.888889\n", "\n", "[36 rows x 4 columns]" ] } ], "prompt_number": 20 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Calculating votes that resulted in winning seats" ] }, { "cell_type": "code", "collapsed": false, "input": [ "all_winning_votes = pd.pivot_table(csv_data, values=\"Total Votes Polled\", rows=\"Party Abbreviation\", aggfunc=\"sum\")\n", "all_winning_votes_average = pd.pivot_table(csv_data, values=\"Total Votes Polled\", rows=\"Party Abbreviation\", aggfunc=\"mean\")\n", "all_winning_votes_percentages = pd.pivot_table(csv_data, values=\"Winner Percentage\", rows=\"Party Abbreviation\", aggfunc=\"mean\")\n", "average_winning_elecors = pd.pivot_table(csv_data, values=\"Total Electors\", rows=\"Party Abbreviation\", aggfunc=\"mean\")" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "get_total_winning_votes = lambda x: all_winning_votes[x]\n", "get_average_winning_votes = lambda x: all_winning_votes_average[x]\n", "get_average_winning_percentages = lambda x: all_winning_votes_percentages[x]\n", "get_average_winning_elecors = lambda x: average_winning_elecors[x]\n", "\n", "\n", "results[\"Total Winning Votes\"] = pd.Series(results.index.values).apply(get_total_winning_votes).values\n", "results[\"Average Winning Votes\"] = pd.Series(results.index.values).apply(get_average_winning_votes).values\n", "results[\"Average Winning Percentage\"] = pd.Series(results.index.values).apply(get_average_winning_percentages).values\n", "results[\"Average Winning Electors\"] = pd.Series(results.index.values).apply(get_average_winning_elecors).values\n", "\n", "results[\"Loosing Votes\"] = results[\"Total Votes\"] - results[\"Total Winning Votes\"]\n", "results[\"Winning Votes Ratio\"] = results[\"Total Winning Votes\"] / results[\"Total Votes\"]\n", "\n", "results" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SeatsSeats PercentageTotal VotesAverage VotesTotal Winning VotesAverage Winning VotesAverage Winning PercentageAverage Winning ElectorsLoosing VotesWinning Votes Ratio
BJP 282 0.519337 171657549 401069.039720 139553310 494869 0.493188 1606886 32104239 0.812975
INC 44 0.081031 106938242 230470.349138 18219598 414081 0.428075 1384055 88718644 0.170375
ADMK 37 0.068140 18115825 452895.625000 17415881 470699 0.451634 1413200 699944 0.961363
AITC 34 0.062615 21259681 162287.641221 18366652 540195 0.431486 1512020 2893029 0.863919
BJD 20 0.036832 9491497 451976.047619 9169818 458490 0.449398 1389275 321679 0.966109
SHS 18 0.033149 10262982 176947.965517 9010919 500606 0.510340 1676883 1252063 0.878002
TDP 16 0.029466 14094545 469818.166667 9362168 585135 0.493163 1554833 4732377 0.664241
TRS 11 0.020258 6736490 396264.117647 5307344 482485 0.430386 1532891 1429146 0.787850
CPM 9 0.016575 17986773 193406.161290 4069667 452185 0.455675 1264327 13917106 0.226259
YSRCP 9 0.016575 13991280 368191.578947 4950808 550089 0.478040 1495688 9040472 0.353850
LJP 6 0.011050 2295929 327989.857143 1983574 330595 0.375127 1579884 312355 0.863953
NCP 6 0.011050 8635554 239876.500000 2594704 432450 0.483694 1419258 6040850 0.300468
SP 5 0.009208 18672916 94786.375635 2458349 491669 0.471728 1714211 16214567 0.131653
AAAP 4 0.007366 11325635 26216.747685 1716952 429238 0.401053 1464262 9608683 0.151599
RJD 4 0.007366 7442313 248077.100000 1429688 357422 0.367278 1636930 6012625 0.192103
SAD 4 0.007366 3636148 363614.800000 1817385 454346 0.411916 1543844 1818763 0.499811
AIUDF 3 0.005525 2333040 129613.333333 1350137 450045 0.389700 1382908 982903 0.578703
IND 3 0.005525 16743719 5175.801855 1374887 458295 0.463283 1271567 15368832 0.082114
BLSP 3 0.005525 1078473 269618.250000 1072804 357601 0.427755 1522716 5669 0.994743
JKPDP 3 0.005525 732644 146528.800000 533629 177876 0.472012 1232333 199015 0.728361
INLD 2 0.003683 2799899 279989.900000 1000848 500424 0.411830 1589081 1799051 0.357459
JMM 2 0.003683 1637990 77999.523810 715322 357661 0.385344 1300163 922668 0.436707
IUML 2 0.003683 1100096 44003.840000 816226 408113 0.473571 1189616 283870 0.741959
JD(U) 2 0.003683 5992196 64432.215054 740808 370404 0.380420 1767467 5251388 0.123629
AD 2 0.003683 821820 117402.857143 812325 406162 0.426682 1718643 9495 0.988446
JD(S) 2 0.003683 3731481 109749.441176 1034211 517105 0.442053 1615299 2697270 0.277158
RSP 1 0.001842 1666380 277730.000000 408528 408528 0.464735 1219415 1257852 0.245159
KEC(M) 1 0.001842 424194 424194.000000 424194 424194 0.510072 1161463 0 1.000000
CPI 1 0.001842 4327298 64586.537313 389209 389209 0.422821 1275288 3938089 0.089943
SDF 1 0.001842 163698 163698.000000 163698 163698 0.529824 370611 0 1.000000
AINRC 1 0.001842 255826 255826.000000 255826 255826 0.345703 901357 0 1.000000
SWP 1 0.001842 1105073 552536.500000 640428 640428 0.538686 1630598 464645 0.579535
NPEP 1 0.001842 576444 82349.142857 239301 239301 0.522410 586501 337143 0.415133
AIMIM 1 0.001842 685729 137145.800000 513868 513868 0.528986 1823664 171861 0.749375
NPF 1 0.001842 994505 497252.500000 713372 713372 0.647102 1752741 281133 0.717314
PMK 1 0.001842 1827566 203062.888889 468194 468194 0.425111 1358273 1359372 0.256184
\n", "

36 rows \u00d7 10 columns

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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 22, "text": [ " Seats Seats Percentage Total Votes Average Votes \\\n", "BJP 282 0.519337 171657549 401069.039720 \n", "INC 44 0.081031 106938242 230470.349138 \n", "ADMK 37 0.068140 18115825 452895.625000 \n", "AITC 34 0.062615 21259681 162287.641221 \n", "BJD 20 0.036832 9491497 451976.047619 \n", "SHS 18 0.033149 10262982 176947.965517 \n", "TDP 16 0.029466 14094545 469818.166667 \n", "TRS 11 0.020258 6736490 396264.117647 \n", "CPM 9 0.016575 17986773 193406.161290 \n", "YSRCP 9 0.016575 13991280 368191.578947 \n", "LJP 6 0.011050 2295929 327989.857143 \n", "NCP 6 0.011050 8635554 239876.500000 \n", "SP 5 0.009208 18672916 94786.375635 \n", "AAAP 4 0.007366 11325635 26216.747685 \n", "RJD 4 0.007366 7442313 248077.100000 \n", "SAD 4 0.007366 3636148 363614.800000 \n", "AIUDF 3 0.005525 2333040 129613.333333 \n", "IND 3 0.005525 16743719 5175.801855 \n", "BLSP 3 0.005525 1078473 269618.250000 \n", "JKPDP 3 0.005525 732644 146528.800000 \n", "INLD 2 0.003683 2799899 279989.900000 \n", "JMM 2 0.003683 1637990 77999.523810 \n", "IUML 2 0.003683 1100096 44003.840000 \n", "JD(U) 2 0.003683 5992196 64432.215054 \n", "AD 2 0.003683 821820 117402.857143 \n", "JD(S) 2 0.003683 3731481 109749.441176 \n", "RSP 1 0.001842 1666380 277730.000000 \n", "KEC(M) 1 0.001842 424194 424194.000000 \n", "CPI 1 0.001842 4327298 64586.537313 \n", "SDF 1 0.001842 163698 163698.000000 \n", "AINRC 1 0.001842 255826 255826.000000 \n", "SWP 1 0.001842 1105073 552536.500000 \n", "NPEP 1 0.001842 576444 82349.142857 \n", "AIMIM 1 0.001842 685729 137145.800000 \n", "NPF 1 0.001842 994505 497252.500000 \n", "PMK 1 0.001842 1827566 203062.888889 \n", "\n", " Total Winning Votes Average Winning Votes \\\n", "BJP 139553310 494869 \n", "INC 18219598 414081 \n", "ADMK 17415881 470699 \n", "AITC 18366652 540195 \n", "BJD 9169818 458490 \n", "SHS 9010919 500606 \n", "TDP 9362168 585135 \n", "TRS 5307344 482485 \n", "CPM 4069667 452185 \n", "YSRCP 4950808 550089 \n", "LJP 1983574 330595 \n", "NCP 2594704 432450 \n", "SP 2458349 491669 \n", "AAAP 1716952 429238 \n", "RJD 1429688 357422 \n", "SAD 1817385 454346 \n", "AIUDF 1350137 450045 \n", "IND 1374887 458295 \n", "BLSP 1072804 357601 \n", "JKPDP 533629 177876 \n", "INLD 1000848 500424 \n", "JMM 715322 357661 \n", "IUML 816226 408113 \n", "JD(U) 740808 370404 \n", "AD 812325 406162 \n", "JD(S) 1034211 517105 \n", "RSP 408528 408528 \n", "KEC(M) 424194 424194 \n", "CPI 389209 389209 \n", "SDF 163698 163698 \n", "AINRC 255826 255826 \n", "SWP 640428 640428 \n", "NPEP 239301 239301 \n", "AIMIM 513868 513868 \n", "NPF 713372 713372 \n", "PMK 468194 468194 \n", "\n", " Average Winning Percentage Average Winning Electors Loosing Votes \\\n", "BJP 0.493188 1606886 32104239 \n", "INC 0.428075 1384055 88718644 \n", "ADMK 0.451634 1413200 699944 \n", "AITC 0.431486 1512020 2893029 \n", "BJD 0.449398 1389275 321679 \n", "SHS 0.510340 1676883 1252063 \n", "TDP 0.493163 1554833 4732377 \n", "TRS 0.430386 1532891 1429146 \n", "CPM 0.455675 1264327 13917106 \n", "YSRCP 0.478040 1495688 9040472 \n", "LJP 0.375127 1579884 312355 \n", "NCP 0.483694 1419258 6040850 \n", "SP 0.471728 1714211 16214567 \n", "AAAP 0.401053 1464262 9608683 \n", "RJD 0.367278 1636930 6012625 \n", "SAD 0.411916 1543844 1818763 \n", "AIUDF 0.389700 1382908 982903 \n", "IND 0.463283 1271567 15368832 \n", "BLSP 0.427755 1522716 5669 \n", "JKPDP 0.472012 1232333 199015 \n", "INLD 0.411830 1589081 1799051 \n", "JMM 0.385344 1300163 922668 \n", "IUML 0.473571 1189616 283870 \n", "JD(U) 0.380420 1767467 5251388 \n", "AD 0.426682 1718643 9495 \n", "JD(S) 0.442053 1615299 2697270 \n", "RSP 0.464735 1219415 1257852 \n", "KEC(M) 0.510072 1161463 0 \n", "CPI 0.422821 1275288 3938089 \n", "SDF 0.529824 370611 0 \n", "AINRC 0.345703 901357 0 \n", "SWP 0.538686 1630598 464645 \n", "NPEP 0.522410 586501 337143 \n", "AIMIM 0.528986 1823664 171861 \n", "NPF 0.647102 1752741 281133 \n", "PMK 0.425111 1358273 1359372 \n", "\n", " Winning Votes Ratio \n", "BJP 0.812975 \n", "INC 0.170375 \n", "ADMK 0.961363 \n", "AITC 0.863919 \n", "BJD 0.966109 \n", "SHS 0.878002 \n", "TDP 0.664241 \n", "TRS 0.787850 \n", "CPM 0.226259 \n", "YSRCP 0.353850 \n", "LJP 0.863953 \n", "NCP 0.300468 \n", "SP 0.131653 \n", "AAAP 0.151599 \n", "RJD 0.192103 \n", "SAD 0.499811 \n", "AIUDF 0.578703 \n", "IND 0.082114 \n", "BLSP 0.994743 \n", "JKPDP 0.728361 \n", "INLD 0.357459 \n", "JMM 0.436707 \n", "IUML 0.741959 \n", "JD(U) 0.123629 \n", "AD 0.988446 \n", "JD(S) 0.277158 \n", "RSP 0.245159 \n", "KEC(M) 1.000000 \n", "CPI 0.089943 \n", "SDF 1.000000 \n", "AINRC 1.000000 \n", "SWP 0.579535 \n", "NPEP 0.415133 \n", "AIMIM 0.749375 \n", "NPF 0.717314 \n", "PMK 0.256184 \n", "\n", "[36 rows x 10 columns]" ] } ], "prompt_number": 22 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Statistical Analysis of Results" ] }, { "cell_type": "code", "collapsed": false, "input": [ "results.describe()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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SeatsSeats PercentageTotal VotesAverage VotesTotal Winning VotesAverage Winning VotesAverage Winning PercentageAverage Winning ElectorsLoosing VotesWinning Votes Ratio
count 36.000000 36.000000 3.600000e+01 36.000000 3.600000e+01 36.000000 36.000000 36.000000 36.000000 36.000000
mean 15.083333 0.027778 1.365393e+07 236299.539018 7.252629e+06 435134.944444 0.453897 1412726.416667 6401299.944444 0.560735
std 46.987156 0.086533 3.248419e+07 150275.821702 2.324585e+07 113343.272362 0.059478 305902.010647 15550652.495029 0.323618
min 1.000000 0.001842 1.636980e+05 5175.801855 1.636980e+05 163698.000000 0.345703 370611.000000 0.000000 0.082114
25% 1.000000 0.001842 1.094690e+06 115489.503151 6.137282e+05 384507.750000 0.420095 1274357.750000 305233.750000 0.253428
50% 3.000000 0.005525 3.683814e+06 216766.619013 1.211470e+06 451115.000000 0.450516 1479975.000000 1308612.000000 0.579119
75% 9.000000 0.016575 1.199205e+07 364758.994737 4.289952e+06 496257.750000 0.486061 1608989.250000 5441697.250000 0.863928
max 282.000000 0.519337 1.716575e+08 552536.500000 1.395533e+08 713372.000000 0.647102 1823664.000000 88718644.000000 1.000000
\n", "

8 rows \u00d7 10 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 23, "text": [ " Seats Seats Percentage Total Votes Average Votes \\\n", "count 36.000000 36.000000 3.600000e+01 36.000000 \n", "mean 15.083333 0.027778 1.365393e+07 236299.539018 \n", "std 46.987156 0.086533 3.248419e+07 150275.821702 \n", "min 1.000000 0.001842 1.636980e+05 5175.801855 \n", "25% 1.000000 0.001842 1.094690e+06 115489.503151 \n", "50% 3.000000 0.005525 3.683814e+06 216766.619013 \n", "75% 9.000000 0.016575 1.199205e+07 364758.994737 \n", "max 282.000000 0.519337 1.716575e+08 552536.500000 \n", "\n", " Total Winning Votes Average Winning Votes Average Winning Percentage \\\n", "count 3.600000e+01 36.000000 36.000000 \n", "mean 7.252629e+06 435134.944444 0.453897 \n", "std 2.324585e+07 113343.272362 0.059478 \n", "min 1.636980e+05 163698.000000 0.345703 \n", "25% 6.137282e+05 384507.750000 0.420095 \n", "50% 1.211470e+06 451115.000000 0.450516 \n", "75% 4.289952e+06 496257.750000 0.486061 \n", "max 1.395533e+08 713372.000000 0.647102 \n", "\n", " Average Winning Electors Loosing Votes Winning Votes Ratio \n", "count 36.000000 36.000000 36.000000 \n", "mean 1412726.416667 6401299.944444 0.560735 \n", "std 305902.010647 15550652.495029 0.323618 \n", "min 370611.000000 0.000000 0.082114 \n", "25% 1274357.750000 305233.750000 0.253428 \n", "50% 1479975.000000 1308612.000000 0.579119 \n", "75% 1608989.250000 5441697.250000 0.863928 \n", "max 1823664.000000 88718644.000000 1.000000 \n", "\n", "[8 rows x 10 columns]" ] } ], "prompt_number": 23 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Visualizing the results" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import matplotlib.pyplot as plt" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 24 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.figure(figsize=(18,8))\n", "cmap = plt.cm.hsv\n", "colors = cmap(np.linspace(0., 1., len(results[\"Seats\"])))\n", "plt.pie(results[\"Seats\"], labels=results.index, explode=np.array(range(len(results)))/10, autopct='%1.1f%%',\n", " colors = colors)\n", "\n", "plt.axis(\"equal\")\n", "\n", "plt.title(\"Indian general election 2014 results of seats per party\")\n", "\n", "plt.show();" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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LjbQIIFlZWQx9/nmub9qU+9evZ54KCwkQNqAbsMHpJHbKFK6qXp1Rn3yiiTpF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ZOi8ycIVSUkXEzmdu+7uDR1oVu/brx4oX5fmSAIdOrUiei7kfxk1hG54wOkc19Ach6Jr9K6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"text": [ "" ] } ], "prompt_number": 25 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.figure(figsize=(18,8))\n", "\n", "plt.pie(results.sort(\"Total Votes\", ascending=False)[\"Total Votes\"], labels=results.sort(\"Total Votes\", ascending=False).index,\n", " explode=np.array(range(len(results)))**1.5/40, autopct='%1.1f%%', colors = colors)\n", "\n", "plt.axis(\"equal\")\n", "\n", "plt.title(\"Indian general election 2014 results of votes per party\")\n", "\n", "plt.show();" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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hIiIiIiJ5kgqMHCg5OZlxn33Ge0OH8pDDwRC7nTJmh5Js9QvwdmAgB61W3hg+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9Pfi5+fH9XV1S7bqqqqXHw1JBIJ999/PyNHjuT111//7RQiIiIil0SbFzBCQkK4a8idfLZ/PS/4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69TAyMqJBgwbcvJmWApecnIyGhgbTp0/PNN7CwoK6detiZGSErq4ujo6Oxd5GWI4cOXLkyPm3\n868WMCDNoO785etMuV66UFqsfoyD/iclbN25j6pVq2Y6d+bMGXa7b2SPfeFkO+RGcgpsOC9i/MTp\nv50TiURcvHiRLp3b4zhQkevBcO2XjPzJwyDYO+1riRNYNIZSJWD/KbDvBzc9Ye3utLEnLkIDXQh/\nmohRHgSMkJDQfBl4QrqAkfeNqkiskmMJCYC+aQz+Aflrl2lm2oqoANUsz4nVwWwgbHJzzVdMSEsd\n79a9GyHumd8cLZdL2bptExERBUsVsra2plYZPZ5vTourqAZGR+KYNmcK/v75MzH9FXV1dU4fOUvs\nTAnxgSBUgdKH4gjiGp17dyIhIe+CU25MnzKdufZz0kSMZzIEekISbiZz4PVBGls0zlcmTV5RVVXl\n8L5DzB8yA7FpNJz9CspCkmeXJ/ZyVZx3z6VJK1MiIyMLfe6MaGpq4nf8DNtmuVCyx02UJ4ZA7PdN\nXRUJ8ZuNib1uwbLQvVTRro7rxg1FIupkh7q6Ogvn/kV0+GOGK9ZHpLcBxdl+8OWXUiVFBbCqx7cr\nQ/l4xIoFYYepUqsGw+xGFdiwNr+k+8mULl0a58lTcF21hjZGjTFyuYik1miEK7zBtiP8EwsNHMHV\nBxrUgpoVSF02jNSYQySemsvufyKZM38eWzx206ZNG3r16kVAQDbKZiFSqlQpRo8ezb3r/ty9cg0n\nSQXKdrVFvUE3BGvd4e8P2T+4hDr060rsgfUkvAkgeJINM0JuoGPcAJ3GDVm4eBHh4eFF/hyyQiAQ\n0KhRI1YsWczL8HCCzp5lZuUKaM+agkirEmLb4XDKBzKWv8lkKPn60L1b13zP5+/vz8mTJwkODiYk\nJAQ/P78f/7PPnTtHw4YN8fb2/m2NHh4ehISEEBoaioqKyg8fFDly5MiRI0dO8fCvFzAA6tWrxxX/\nIFbeK88Sf8V8leFmRCaDYacl9B4wnK5dM19QvX79mqGDrdk7Vkr5Ysp0PXoTqlavTcOGDbM8L5PJ\ncHffxiirJFJSoEwO6/I4Cf2/3+RSVoJYKcQnpGVbAYddrQAAIABJREFUp6SAy14Y1BUUFJSpUKFC\njuuKjY3l5csP6OTTfzBNwMi7v4JIJMoxAwPA0DSVGwEXch70C6amptlmYAC0tktg67bNBdpAjref\nRMhmMakZklPUK4HpjATGjBtRoLIPgUDA1vU7eDJfhYTvDQDUtEHPXUr3Pl14+/ZtzgFyoU6dOuzd\n5sHn3mKS34FAGUofkHJX8QadrDr+sd9GRpwnOjPfcR4qFgrIolMRlBQQfziJ8E6R1Gtcj2vXrhXa\nXOkIBAImOU3ilNcJSg75gOLS92l/7HpiYq9WI9jqHfXNGrJw6aJC9f/Iah39+vXj8b0IurzXRWJw\nFs6/+TmgTgniPJvwxacJ046vopquFh4eHsXaXlNDQ4ONa9YTficUq5cVEWm7IFx1DeKzeF0aVkG6\nuyfxD8ayt3w0xhbNaN6xDWfOnClSj5EqVapkKv95/fo1FhYW3L3qz2XvE/QIlaJiNB4VsQg8p8Lu\nSfD+C2h9z2ITCsHCkPhKJZGdmMv1ygJuvHnK6UsX6N23D4GBgcXWRrZOnTosW7iIv6OfcXSVC1bB\n0YjqtEWt22g4fBpyEhDFIujaBqn7MuLfBhC5bCIL3zyiYdvWaOrq4DxzBkFBQcXaEjcjurq6zJk1\nk8igIMKDgljUwJD6LitQqVkR1cHWcMgLAv0Ry1KpV69evuO/ffuWcuXK/ciSLFOmDJUqVQLA09MT\nOzs7tLS0fhN5018PJSUlli9fzvPnzwkNDf3DZytHjhw5cuTIyStyAeM7WlpaXAu8g8fLqjicVyG5\nANf8a24p8E65JktWrMp0PCUlhYHWPbBrE4uFfiEtOA+s/d46NTt279pFYkIcpgOgVRPQy8bkPk4K\nZ66DVbu0nwd0hmMXof0omDkaNuwHm24QGQ2G9XRy7Zhx//59dHQk5LdZhYoKJCWlkJKSt9ITsTh3\nAaNeEwi+/TBf9fh16tQh5nMq/7zL+rymHlSqm8KRI0fyHDOdJk2aUKGsJo9PZz7eyCGVR6/uFigm\npNXSDx08jMfTfqa6V+wC5Ud9o2ufTn98t75bt244DnfiS19VZElpIkYpLymh4gAse3YoVBFjstNk\nFk1clJaJEZWKQCggdRZ82RZDe6sOrNuwrkg2XRYWFoTdCkXnSEnEvV/DtxRQEJA6TgPprRosvbiO\neiaGBAcHF/rcGSlXrhzee7w4tGEv5UbcRzQ8CD5n2KgalyX2tBnvtukyep0zdYz1OHXqVLFuRKtX\nr47njr0EXbxOm2sCJNrrYHvQzxKNjFQqQfL81sQ/m8C1vqXp7Tyaanq12bR5U5GUwzRq1IhHjx4R\nHR1NYmIiXl5edOvW7cc57z0e3PUPxLGkHuotZqJi4ADalUE1Q5nIo1fw+hNYNoT6tYifYYX0xjJe\nKSTRZlAfqurWYdGSxQUqJSsIQqGQ1q1bc3DXHv5+8ZL1vQZivN4TkaY5Kg7z4FZIzp4SiorQuhkJ\n6+cS9/wqr3YtY03KZ1oNsEajRnXsnMZz+fLlPH/2FjbVq1dnwgQngq9c5nlkJGst22HmsQsFy1ZY\n97IqUJem9u3b8+LFC3R0dBg7dixXrlwB0sorL1y4QMeOHenbty/79+/P9LiMcwmFQoyMjP5jWSty\n5MiRI0fOvxG5gJGBSpUqcS0wmKdqTejsLeGffOy5Al/B0ptivI74oKysnOncX/NmIYy5z8wexWda\nd/sJPP+kQs+ePbM8L5PJWL9uKUfXpfLyAly5DZeyachx4hKYG6eVjwCUUAOfjXDrANSvCz6X08SN\nua7w/NXnXNOoQ0JCMDDI/2shEIBIpJjnzbBYLCEhl6HqJaFKdRXu3buX53UIhUIaNjHkcQ7WGa3H\nxrB2w9I8x8zIBPup3NuolumYglKaoafDBFvi4vLeejYji+Yt4fNpEZ8y3FCsNTuJv0tFMG5S9iav\neWXh3IUYqTXm65S0979ACUp5SLlf4hbtu7dDKs1FTcoHTo5OLHVemiZiPElTG4UdFUi8kcwMt5lY\nD7Uu1PnS0dTU5PaVW1iVaY/E5BlEfH+D1VAh9rQmkePjMbNswaTpk4tk/ox07NiRp2GRDJS0QFzv\nLBz+xcegVUVi/S14Mq8ifScPo2FLE65fv16ka/oVfX19zh7xwe+gD432vkW13ibwDst6My1SgmEN\niblry8tNrZly2o0K1aswcdqUQjVMVVRUxNXVlQ4dOqCnp4e1tTW6urq4ubnh5uYGwOfPnznufYRK\npcpQT6UM1V/FolbPEdx8IS4eZu2BRTZpAfu3hE2noPcSWD2S2MhNvHK3ZWHUdWob6tO0fWv27dtX\n4L/b/KKurs7QoUO5ffEyD28FMbW8FhX6TUStXkeEy93gdTbKazpCITQxInmpMzER5/h4aitbyirQ\ndYIDpStVZODIEZw6dapQy8PyQ/ny5Rk5ciTXfE/x+cMHVi5eVKA4qqqq3L59my1btqChoYG1tTW7\ndu3Cx8cHCwsLlJWV6dGjB0ePHs1R/JPJZAUSUOTIkSNHjhw5BUMuYPxCyZIlOXH6AjqtB9Fsn4Sn\nn3N/zGcp9PORsGXHHmrUqJHpnJ+fH1s3u7DPPg4FhaJZc1a4nBEz1nEiitmkOZw7dw4lwWcsmkBJ\ndejcAoKyMTL19P1ZPvIrCzbDLNu0EhMFRRUmT3Zm3rx5Oa4tJOQWhgYFu5gXixXyvDEUiyW5ZmAA\nGJim5Lt23dy0LU8Csv+FNuwOj59E5EsYScfa2pqXgTI+P818vIYFVGgWy4LF8/IdE6BEiRKsWb6O\nSAdVZN9vpAqEUG9PHIfO7GPn7p0FipuOUCjEe+9hFH3K8m1v2gW9QAlK7ZPysOxt2ndvW6ibOEd7\nR1bMWIFKK0Vkj9NEDEEtIfH+SZxMOkV9s/pER0cX2nzpqKiosGfrLlZPWILYPBqOfm9rKRDAkLJI\nQ7XY/MQD7fo6XL2aP3+V/KKurs42VzfOevmgOeM5EqsAeJPhNRYIoEdVYu+1JXi4Eu0HdKVNtw4F\nel/+Caampty8cI3D63agvSgUtSbbwC+bHtYCAVhoEXvUmtjAkWxIuIm2kT5drHvh7+9fKJkkHTt2\nJCIigsePH/8warS1tcXW1haApk2bEhERQUREBEFBQUSFhXNs/TZan3qKqPpIlLQqgcp3g2aNknB9\nJYRthJ7N0tbfTI/4LWNJeLWTgOGNsdu7nnJVKjFw5DCuXr1abNkwNWrUYP6cubx5/ARft+30f/QB\ncb2OqFkOA88TIM1F4RUIQL8OqbMd+XbnON8CvdmvX4n+S+ZTumIFuvW35uDBgwXukvSnqKur/5GB\nqlAopGXLlsybNw9XV1e8vb3x9PTk3Llz1KxZk4YNG/Lp06dsW2OnpKRw7949eQtXOXLkyJEjpxj5\nnxUwsnIPT3cIr1+/Pubm5gU21lNUVGTdRjccZizFzEPM1RwM2mUyGH5GQrc+g+nRo0emc2/fvsVm\nYG/22EupWLpASykQbz/DidsyRo0ek+2YFcvmMbJnDAJB2jXsOf80E85f+fINrgRB99a/n3v0DF6/\nhxaNQJoAL94KMDAwyFVgCA0NzLeBZzr5FTByM/EE0DeJ40ZA1heo2dHU1CxbI08ARSVoNToJ101r\n8hUXQCKRMGzocII3K/12zmKllI2bXXn06FG+4wIMGjiIaqo6PN/6846hUikwPBzHuEljuXPnToHi\nplO6dGlOHzlDzAQxCXfTjgkUodRuKeHl79C2a5tCFTHsbe1ZNXtVmogR+V3EUBWQsC+ZKJtnGJka\nce7cuUKbLyO2o2y56ONHWccvKM36G1K+b0orKBF3oDKvlilj2b8zw+1H8PXr1yJZQzrm5uY8uvsQ\n+7q9EBudQ+D+JHOWg4IQhmoRF2HJpdafMWlrTm+bfkRFRRXpujKS3so0PCiE7VOWUtnuAmrt9sCt\nHMosapUlcY0lCdETONUsiXaDeqJn0gAPD49iNSkVCAS0bt0av2Mnued/kxHSCogNxyHptxICcigf\nEKtAv5Z8852D9L4rnnUEdBozhEq1azJ7/txie/0FAgHm5ubs3bqNDy9f4WYzmqY7TqBSpRmi0TPh\nelDe2pbWrIpswgi+XvVEGn6WE62MGLF9A+UqV6JVty7s2LGDjx8/Fv0TKgQiIyMzfY4GBwejoaHB\n1atXefHiBVFRUURFReHq6pqpjCRdfEpKSmL69OlUq1atQB4ccuTIkSNHjpyC8T8pYGTnHp7uEH73\n7l2GDBnClClT/mgeewdHdu4/gtVxNXaHZp0iuv62kBeCaixf7ZLpeEpKCoP69WREi1jaFHCzXlA2\nn1egb5++lClTJsvzkZGR3L59m+2HoX4vMOkPXS2gjSm4HUj7SueoH3QwS/N7+5VZ62DRuLTve7aF\n1+/iGTlyJE5OTtmuTSaTERr6qMAChkgkzLOAIRGr5SkDw9AUAgJu5GsdTZo04XFQfCazzV+xGJWM\n537PAm1ex44ZR+gOBZJ+WX+JKmAyNRG78SMLbOi5zXUHT+aISMjQrKBEPai7IY4uVh358CGHLgZ5\nwMDAgC3rt/G5l4SU7x0yBYpQalc8j6rcpXVni0L1Nhgzagwu811Qaa2ILPy7iCEQIHMSEOMppbtN\nDxYtW1Qkd71NTEy4HxSG0dWKSLq8gk8ZSqN6lCIuTIv9SafRqlebkydPFvr8GRGJRKxYtIwbZ69Q\nZ8NXVNtfg6e/tDMVKZDqpIP0kSXHtCLQb2yI7Tg73r3LpaygEBEKhfTt25fo+5Gs6DOe0j0PIel9\nEKz2QoVFYODy+4NKiJCVkxCrJiD872cMthtJOc1KLFi8kPDwcMzNzTEwMODYsWM/HtKjR48/NqjN\nitq1a7Np7TreRD1jgWlXyg9wQc3UGTwvQ1IOpXGVy5Lq3JuYsPW885rAivd30WtsTEMLc3bs2MG3\nb9+yf2whIpFIGDBgADfOnOPJvTDm1DJEc+Qs1HTaobDQFZ69ylugChowuj/fTu8g4fk1Llm3YdzJ\nQ1TWqkmj1hasd11fbB4gBSEmJoahQ4eir6//w8eiZcuWtGnTJlP7827duuHj4/NDMBs4cCBGRkY/\nxPqM7zk5cuTIkSNHTtEjkP2nLMb/gCNHjrBjxw6OHz+e6XirVq1YtWoVxsbGhIeHY2Vlxf372dRF\n5IMHDx7Q1bINVtU/srhFEorfZZ+g19DpsCoBt0PR0tLK9JgF8+fgd3gVfjOKt3QkIQmqO4jxu3IL\nff2sHUMdHUZTImkHi8YXnidH8EMYPLsqYQ9ySFcBnj9/jqmpLs+iC3YXvoFxCTw8rmJoaJjrWIdx\ntqjW2sLA8TmPS0mBFqWVeRb9JlvRJytq6VTG9tAbquUgxqzvo0p/i6U4jM2/x0RrS3NKDLiOkc0v\n600EdyNVNi3dV+AWfvbjx3Beugu9LZlTyCOcldAIbswF38vZlh/llXGTHfG4507pU3EIvv8NyFLg\ny0gRNZ7qc+HkJdTU1HIOkg/cd7rjMNORxPPJCHR/arOylzJEVkq0qNocrx1eqKurF9qc6SQlJTHe\neQK7ju8l7nBlMJJkHnDhK5LRf9PepA1b1m5GQ0Oj0NeQkeTkZFasWcWCZYtImKlD6rg6aVkYv/I+\nHpXF4Qh3P2Oc/VimT55GyZLF1CbpO3Fxcax1XceCxYtItahJYvgbCJ/4+0D/56BXHkqK4HQkOPsi\nblSDJM9gmpiY4rJiFVOmTOHixYucOHGC4OBg5syZU+TrT0lJwcfHhwVrV/LwUSQJYzuRMroDlC2R\n+4MTkuDkTdR2XSb5ciidu3XFbshwWrVqhbA4em1/RyaTcevWLdx27cTLywuhYV2+De0FvTqAWvaZ\nZlkSJ4WzVxF7nSL5yBlivn79zRdKjhw5cuTIkSOnoPxPZmBk5x4OP9M7T5w4kadNbl7Q09Mj8M49\nQpVMaO0l4fU3+BKf5nuxccuO38SLy5cvs3H9ymL3vQDwugEGhkbZihdfvnxh37692PcrXEPRkHAw\nMmqQ+7iQEAwMCr4xFosF+crAyEsJiYIC1Gsk4ubNbFxMs8HUtBmPcrHOaDM2lvUbVxTo7v+EsVMJ\n3fD7ZltBOc3Qc6zT6AIbRS6ev5SPJ1T4fCvzce3FSUTJ7jJtlnOB4mZk9dI11Ek24Ovsn3czBQpQ\ncns80bXvY9GxRaHedR4+dDgbl2xAuY0isvs/2wgJNAXEX0niUukrGJgaFri0LCeUlJTYuMYVt79c\nkbR9AR6fMg9oXYK4UC1OVbpJbYM67PPYV6Q+CIqKikyfMpUQ/9sYH1NE1ewyhP3z+0ANEQlr6iO9\n04Z1L4+iqV2D5atWFGrXmNyQSCTMcJ7G66jn2FRuhuDxJ5Qnn4GPv4icTauliRcAJlXhkxSpe3eS\n57fGv8R7mndpx52Quxw7dgwXFxecnf/8PZwXFBQU6N69O0EXr3Ld5wxWkSmIatsiGr0B7j/L+cEq\nStDLjJhjM4iP3MxhY1V6TranfI2qOM+cXiTv1awQCAQ0adKE7Rs28vHVa9ztJ9Dy4AVUqpojHuoM\nlwIgr+14JWLo0R7p4O7UbWQsFy/kyJEjR44cOYXK/6SAkZ17OKSldzZo0AB/f39WrlxZaHOWK1eO\nU+cv027QJBrtFtPziAodevSjd58+mcb9/fffDOzXkx22UqqULbTp84RMBi5n1Rg/aWa2Y9y3b6OD\nmYAqFQp37tBHShgaNc11XJqAUXAPBLGYfAgY6nkqIQHQN43FPyB/HRrMTdsQFSDJcYxuS0iQfeLy\n5cv5ig3QqVMn4t+q8Dro93NabaBc4xgWLV2Q77gApUqVYtXStUSOVUWWYV8iVIR6nnFs93Tj4KGD\nBYqdjqKiIsc8T8C+ksQc/nlcIISSW+N5rvuAlpbNC9UfYqjNUNxWbEa5rQKyexlEDBUBSVtTeOX0\nmobmDX/L3iosBg0cxI3z16g4OwHlCW8hKYNIIRGSuLICX09UxHbpOFp3bVuo3TWyQltbm8AL11kx\nbCaqra6gOC8MErOoe6quhnRHI2IumvPXNTeqaFdn2/Zt+Wov/KeULl2amc7T0NGuw8C4Ooh01qG4\n8DLEZNHtYnsQdNJJ+962CbKUVOI1JXwdY0Rfh+EEhYWwddvWYivLSKd+/fp47dhNdHgkUzQbU7Lt\nXNTaz4VTt3IXAMqXQubUg2/Ba/h4Yjou0kjqt2iGQbMmuLm58c8/WQhQRYCKigq9e/fm0omTPAuP\nYIFRU2qOX4xEqxUKc9bA4+g8xREf8GV4n75Fu1g5cuTIkSNHzr+O/0kBA7J2Dwfw8PAgODiYw4cP\nU6VKlUKfc/a8v9hz8ASVGnZmlcuGTOdTU1MZ3N+Kwc1isMw9GaHQuR4OXxPV6dQp65YhKSkprF+3\nnPEDC7+dX+gjCUb16+c+LvR6gVqoppMfAUMkEpEgzVu2h6FpCjcCzudrLaampjl2IoE0E/9W9rGs\n27giX7Eh7c7u2DHjCdkkzvK8xao41m9Yy5MnT/IdG8BmsA2VlWrxfHtmfxeVcmDkHccIu6F/XIKl\noaHBSW9fvo6RkPjw53GBEEpuTuClYTgtOpjz5cuXP5onI4MHDmbb6m0ot1dEFvLLpnGUEOmJRPqP\n7c+0OdNIzetd5XxgZGTE/Vv3MHlYG0m7F/AuKfOAxqrEBlXnmskjdI312bBpQ5GsIx2hUIidrR3h\nwfdpeac8qsZ+EJiNz4l+KWKPNOXTwQY47VlAzXraeHt7F1vXDEgTvtw3biEs8A5dHpZArL0Ogas/\nJH7/3Lj4BNyDYJll2s8lROAzBIIcYEoLEnXL8GVPVyaumk/psmXo09+6WM1KASpUqMBfc+bxLvoF\nGwY5UnuWN6q6YxFs8IGYPHx+GWmRuHoE0hfuhM3oxKTz+6lUoxpd+/XB19e32ISlChUqMGnCRJ6G\n3OP60eOM/iZE3cyaEs37wTYv+JKN+JiQQOrx8/Tp3Sfr83LkyJEjR44cOQXkf1LAyMo9vHr16gDF\ncqHdpk0b9nl5/9a+bdmSRcS+u8OCvknZPLJocTkrwdFpara10z4+PmiUkmJqVLjzymQQEp6Qp5Kd\n0NBQ/qSyRySS5aMLiZhEad5qeAxM4FZgSL42kgYGBrx7lkBsLjdGm9vIOH/Oj9evX+c5djqjRozm\n4WEZ0k+/nytZFZpMTsTeaVS+40Laxnb7hl08mSUi8Zf4pRqC9kopnXp2+GNxoVGjRrgsW8fnnhJS\nMux3BEIouTGB18aRNG9vVqh3mAf0H8AOF3eUOyggu5v5dyowEZIQlILr5Q207tqGz5/z0Cs5n5Qp\nU4aLJ/0Yaz4MSeNouPmLaamykOTZ5Ym9XJWpe+bR2MKkyMsFNDU1OXfsNNtnr6Nkj5soT7gLsdls\nhE01iL3YnJcuWgxd5Ii+iVG2rSSLilq1anFk3wFu+F6gua8USV1XWHwRRh2B4zZQOgthb8EFmNUK\nov8h+a/WpIQ64B1wDr1GRlhadeXKlSvFKsaoqKhgY2ND5O0QfLftpf2FV4hqjERpsjtE58E4VUkR\nujQh9qAz8U+34tNCA+t5k9GoVoXxUyYRFhZW9E/iO/Xr12fjmrV8fPmKPVNm0t43EJXqLZAMcIKz\nV9PMhNLxvYy+keEf3URQV1fn2bNniMVijI2N0dPTw8TE5Ee2ZTo+Pj4/WndHRERgYWFBgwYN0NPT\n+9EWNyQkhBEjRhR4LXLkyJEjR46c/x7+JwWMrNzD0y9gBIKsu4UUNdeuXcNlzRL2O8ShWMy+FwDP\n34PfPRlDhw3LdozLmoWMH1D4KdVvP4AMBSpVqpTjuLi4OJ49+xudOgWfSyxOzZeAkZBHAaNsBShR\nWiFfm0hFRUWMjOvy5FbO4yQloFk/AW5bN+U5djrly5enU+f/Y++8o6K6uj783KHOAPauCCo2kGpD\nRESCBcWGIopGo0axxF4SY4nGLjbsJTEajSVqYktU7B2wUAQFAQVR7J0+wHx/jBpAygwM5n3f7z5r\nuRbM3fecc4eZcc6+e/9+boRuzf+t2nJiFmF3gjhy5IjaY4NyU9LX05uY6XqfHDMepEC/w3P6fNmr\nxBUCQwcPpbeLF28HSnO1rAgClF2TzuOW0Ti2d9BoMsGrjxfb1mxDt5M2iht5khhVBdJOyglsEIRF\ncwtu3rypsXk/oKWlxZJ5i/lt1TYMujxE+Ckfe0lzKckXahPS+yk2DnbMWzQfubz0EqCCIODl5UXM\nzSjcn5sjs/SHk48KCoaONUi65sLtSWXpPqIvrdq34dq1fHqaShEbGxvO/XWCrYvXoDv3PFK0IfLZ\np7af0c8h8S041YFUOQhA7XIoapclLX4i/i4SOg/rS4Omlvz666+kp+fTmlJKCIJAmzZtOLb/ILev\nBeNDbWRNJ2LQezFcjFDNwrSCEYxy512gL69PzWG99gNadvqChs1sWLV6VYndg1RFR0eHbt26cXz/\nnzyMvcvi1u1pON0PmYkTOt8tgdsxGOw4yAjvARqZz8zMjBs3bnDr1i12797NypUr2bp168fjy5Yt\nY+TIkQCMHTuWSZMmERwczK1btxgzZgygrIqKjY3l6dOnGlmTiIiIiIiIyL/Hf2UCw87OjkuXLhER\nEUFoaCj79u2jYsWKnDlzBjs7u8++nhcvXuDt1YOfh6ViXOmzTw/A2hM6DBw4iDJl8le+DwsLIyoy\ngt4dND93aCRYWzYqMnkUERFBgwYycjjUqY26CYyMNNVf4ko71SJUOfPQ2t6FmICik2Yuo9LYuGlN\nsTan40dPIWx97o3/B7R04YvVyYwa93WxhRcXz/Xl+Z96vL7+6bGGy9O5+fIKs+f9UKyxc7J+5QZq\nPa3Pu4W523oEAcr6ZfDMMRbH9g68fJlPuUkx8eztyW/rd6DrpoXiep4kho5A5opsns55jr2LPbt2\n79LYvDnp0aMH1y4EYbwM9IY/gvQ8f0gtgeyxlUm9VoeFZ1Zh0cKS4ODgUlnLBypVqsT+7XvYt3YH\nlYZGoD/kGrwqYEMvEcDLlORbHQjsLcepuyudPbsRFRWl0TX169cPBwcHoqKiMDY2ZsuWLWzcuJGN\nGzcCcPz4cQxlBlTLNkDXcw+SMj/ChRytITNOwPz3H3D9rGB9ILRYB+Nbg6EeitH2JN8eTcy8Zoz+\nbTFVTWsxc84Pn9VCFsDU1JTVS5fzJD6BRe08qT5kA4bNJsH205Ch4udD49rIFw4iJf4n7izozbSA\nQ9Qyq0sHj24cPHiwVJNgOalYsSLfjP6GyKvXuep/ktEKI8q5DkL+91k8PTXfPlKnTh2WL1/OqlWr\nAEhISCAjI4OqVZWiTo8fP85V9dGkSZOPP7u5ubF3b8l0fURERERERET+ff4rExj/SWRnZzOovyde\nzd/Rpem/s4bkNPj5jBZjxk0uMGbVysWM9MqgNAThw+6AlXXLouPCwrCyykdAUA2k+llqVmCo/hK3\naJnE5YCzaq3Hwb4N8YFF23LWtoTK9bI4ePCgWuODUmujgmE1Yk/kf7xeByhn845FvgvUHhuU4olL\nFiz7RNATQKILVntTWLVpGX/99Vexxv+Arq4uf+07inydEclHcx8TBCizPIPnzndp7dqKFy/yqVYo\nJj179mTXpl3oddZGcfXTLJDQX4v0k5l8PX0Y30z6plT0BRo1akR4UBjtXtggc7oPDzI+DTLVI+VY\nLaInpNO6kxOTpk0utsuMqri5uXE3/A4DDNoibeIP+wuxQdaRoPCpT2q0G/7NE7FxbM6AYYN48OCB\nRtaya9cuEhMTycjIICEhgSFDhuDj4/OxDeCnn37ixYsX3L17l5SkZLau20zlgX9j0GUnhD6CPf2g\n3nvl5MqGcGkEhI+HnjkcmSQS6NyQpOMDeHOyP0sTT2DayAyvwQMICQnRyHWoiqGhId+M/oYHkdHs\n/nEZLX+9jtR0GFpzd8NTFduptLSggx0pv00kPf5nTnSuw5dLf6BizeqMHD+W4ODgz9YyY25uzorF\nS3gWf5/oyEjKlStXKvPY2toSGRkJwKVLl3Lehl5iAAAgAElEQVTdtJgwYQIuLi507tyZlStX5mp/\na9GiRS7HMhEREREREZH/TsQERglZvmwJL+4HsaBvPhuSz8SOC+DQqhX16tXL9/jz58/Z/8cf+HiW\nLHlQEGExBljbNi8yLiQkCMsmyUXGFYa+mgmMtFTVW4os7SEgQL0vuPb29kQFZKhUAd5u1Dv81i1W\na3xQlp+PH/UtYesMC4xxWZHCCr+lxMXFqT0+KC1Iq1CHhK2fPl/61cHq91T6D+5LTExMscb/QI0a\nNTi45xBvvpKSkUd7VBCgjG8GL9vH4fCFvUZL4rt3787un3aj20UbRWA+SQxrCelXM9kasQ2H9g6l\nUmpuZGTE3/uO8F2PcUhb3INz+bRzCQIMrEhqWF023N2JmXWDUt90GRkZsXn1Bvz3HKHW9PvIegXA\no0KEfmXaZE1tTNqdTvxeOZQG1o0ZM3m8RpNORaGlpcWXX35JQmQs8zsNo0zHnUj7/wGxaqzBoipp\nG7uSFjOefQ1f4ODuSlNnBw4cOEBWVul8VuaHRCKhS5cuBJw4Q5D/afol6KDfcCTSIasg9K7qA5U1\ngK878u7CAt5dWczmsi9w7NmFutYW+C5byuPHj0vvInKgra1N7dq1S238nAmZ+Pj4XK2LX331Fbdv\n38bT05OzZ89ib29PRoby/+bq1asX+/NRRERERERE5D8HMYFRAgICAvBd9CO7xySjo5rZhcZRKGBV\nEdapmzaup+cXApUrlM4aQqMkBQp4pqWl0bJlS2xsbNiyZRvX82lT+MC1ayCVwZ8HlL8/ewbO7cDW\nDj64XupLM9myZYtKX8aVFRiqX0cjG4iJfkBSUpLK59SoUQOZTMYTFYxAWnjA7dsR3L59u+jgPHh7\ne3P/Yjav4/M/XrY2NJ8gZ/SE4WqPDR8EPbcS870+GfnIUFRwANPZKbj17KDW85Mfjo6OzJ+5kDce\nBmTnyWcJApRZlMHrzvG0cmnJs2fPSjRXTrp27cq+rXvR66qN4ko+SYwKAml/yQlrHY5FcwuuXi1C\n3KQYCILAzGkzObB1P0Z9nqC18nn++gdVdUjZU4PEJXp08nZn8MghGrWbzQ9HR0eiQ24zunEvpNYn\nwPE4VN0HlgXoq5TXQ77AktQdzViz3I8apsbMnjeHe/fu4ejoiKWlZa6Kox49emh8E62np8e4MWN5\nEH2PKY3ckbX8Cb3Rf8FjNbR+KsrI/s6J1HvjuTGiNl8umkyN+qYsW7Fco+44qtCkSRO2b/qZhOhY\nppm1oXyX+Ri2mwEHr+QWySyKetXJmtOflLubiFs1kB/CT2LauCFt3Tuxd+/eYreb/ScQHByMubk5\noHw/5a0wqV69OoMHD+bAgQNoa2t/dFJSKBT/mkaWiIiIiIiIiOYQExjF5OXLl/T17Mamr1Mxqfzv\nreNkGEj0K+Hi4pLvcblczrp1KxjXv3RK0dMzICY+9eMXyrzo6+tz5swZgoOD0dWVEB0Dly59GpeV\nBd9Ph445NDr27AEfH7h8CVavUT4WHw+VKlWkWrVqRa5N3QSGrh40spJyvbAsSz60tG9BtArSGdq6\n0PZrOavXrVBrfAADAwO+/HIgIRsLFhBpOTmT6+GXOHbsmNrjAzRt2hTPnl7EzvxU0BPAZGQ2imaP\nGDDUu8Rl6WNHj6WDTWfeDJN+sn8XBCgzX867bgm0cmmp0WqIzp07s//X/eh110ZxKZ8khpZA1jwF\nL/3e4NzFmc0/b9bY3Dnp0KEDoQHB1N2mj3TAI0gpQCS1RzlSw+uyO8ufuk3MStzGUxT6+vosmbeI\ny/7nMX5mgL5pecgoZOOclQ2+t6FzTTIWNcH31k7MrZtQ16weFy9eZOXKlQAcPnwYOzs7ld63xcHI\nyIg5M38gPjKGYdJmSC3WojP9JLxW4wNARwv6WpMUMJSnO92ZFbST6nWMGTFudIkrj9SlUqVKzPx+\nOk/u3WfT8Ck0mv8XBg1GIvgdhLdq2GBLJOBsReovY0lP2ML5PhYMXj6HVi5tS2/xpUhcXBxTpkz5\nKM5pYmKSKyl2/Pjxj/ofjx8/5sWLFx81MR49evTRrUxERERERETkvxcxgVEMFAoFgwd60cPmDd2L\n7pwoVfz8DRg7YVqBd5b279+PmbEc60alM//tWKhrWu0TS9mcyGQyHjx4gK6uAokEyudTCbJ2LXj0\nhEqV/7khrasLKcmQlgZaEmWSIygIrK3zT5bkRdlCot5G28I+jSsBV9Q6x9HelbsB+W/68+IyPJOd\nv+0oVhXDmJHjCf1Zm8wCtBa19cBlVQojxg4ttsOC7/xlPN2ry5t85AAEARqvSyMg9jS+y5cUa/x/\nxhLYumEblaNq827lp04xggBGc+UkeTzAvl0LjQotdurUiT+2/4FeT20UF/JPHEh6aJF+PpMJSyfw\n1YivSsWxok6dOoRcukFniSOyVvFwt4A5ymmTtqkaL7aWo8/Y/vTw9tBoZUp+2NjYcDcimjEuXyLE\nJiNZEalMVuRldRT0rg2V9aCalJSdLUgbU4c91//GzKoRz549IyMjAz8/P6ZOnVqqawblxn/10pVE\nhYTj+cQYaYNVaPleVLqSqIN9bVJ29SI1bBRbZLexbNUUl26dOH369Ge1YdXR0aFfv37cCrzOiR17\n6XLlJXqmQ9EdvxliC3CPKQhDKQz8gvQvLHFoaV86C9YQmZmZ6OkpP1NjY2M/2qh6eXkxbtw4Bg0a\nBEDr1q25cePGx/P8/f2xtLTExsaGTp06sXTpUqpUqQJAUFAQTk5On/9iRERERERERDSKmMAoBn4r\nl5MYfYUl3v+e7gVA9CMIjBboP6BguzqldWrJSv4LI+wOWFlZFxqTnZ1N27ZtefEijbZtwbxx7uMP\nH8LhI8pqC1BuXgH69oXDh6FzF/juO1i/HlrZg1yuWvmzsgJDvc2GpX0GlwMKUMssgFb2rVROYFQ0\nhsZtJez4bYdacwA0bNgQaysrbu8rOKa+GxiZv2bJMvW1NgAqVKjAonm++Qp6AmhJwWp/MvN853D6\n9OlizfEBqVTK0T+Ok7bYgJSznx4XBCgzR05Kn0RaOrfg0SM1N2yF0LFjRw7uPIiehzaKc/knMYRG\nEtKCMtn3bD/NnZvz8OFDjc3/AZlMxt5f9zD/65lIW8XBsUJaFlzKkHKzLkdrXsXMsj47fttRqptp\nbW1tRvmMpH49M+wOamPgcBbCc4hLPkyBgw9g5Htf5A851G8tyDDR47k0hVjFE6qb1sLKyurjhvRz\nYGxszG8/beX6uSu0D9RGVn8VwuarkKmmtkWtssgXtictfiJn3KV0+2Ygda0bs2XLls/ahiEIAq1a\nteLw7r1Eh4YzWr8+hvZTMeixAM6EqmbDCpCZhe62M/gMHlq6Cy4hERERmJmZYWJiQkpKykcb1cDA\nQAYOHPgxrlatWujp6X38bFi2bBmRkZGEhIQQEhKCt7f3x9hjx46VijOKiIiIiIiIyOdFTGCoydWr\nV1kwdyZ7xiajWwI7UE2w+rguXw/zQSaT5Xs8KCiIx4/i6Nau9NYQdkcba5vWhcZIJBKGDh3KCB9t\nLl6Ec+dyH580GebPU25YFYp/vouXKQMHDsCVy2BtDX//Dfat4MyZC3h6ehZpeaqvr09aagGl+QVg\nZQ9BAdfV2hja2tpy/1YK6SpWdruMTmbV2iXF2nwqxTwLdz1ptyKFpcsXc/9+IY4ShTBs6DAqymvz\nYHv+x2UmYLkzFc/+PYs9xwdMTEzYt2M/b7ylyBPyjynzg5y0/onYt2tBYmJiiebLiaurK4f3HEav\ntzbZZ/Lf2ApGAmn75ER1i6ZJ8yalIqgpCALjx4zn2N6/KDfkJdrzn0F2Aa8NmYQM36q8PVydEYvH\n0c79CxISCnjiNISuri6Bpy+xdOhMDNqdR3t2OKRnwfhrsMj2/RsX5T+AMrpwpB1EdiPtgjMvq2ay\n8dhvVKpehXbt2qltVVwSGjduzNF9Bznzx9803/0MA4t1sPcmZKv3uYBMF4a3IDliFHHLHBi3fwVV\nTGry3czvNfqaVAVjY2OWL1rC47j7LHUbQK1Rv2BoMx5+OQFpRSTVj13HtGatAjWL/hPYsGED3t7e\nzJs3T6X4yZMns2HDhkJjwsLCMDMz+1iNISIiIiIiIvLfi5jAUJPAgCvo6Sh4oYZGXGnwJhl2XJAw\n6ptxBcb4rVjImL6paH1aoa8xQqNlWFkXXoEBcPPmZZo1z8TNjU+EPINvwIAB0KAB/PknjB2rrLzI\nyYIFMG0a3LgB5csbsW3bNmbPnl3onMoWEvXuuFavDQoy1NqYS6VSGlrU4d6NomMBLFwgKf0pl/IT\nAymCrl27knRfh8eFOD6WrwNNx2TwzUQftceHD4Ke24j5Toq8ADfHyi5Qc1IynT06lvhOtKurK9PG\nz+BNLwOyCxiqzIxM0gc9pqVzC41WQri4uPDX3r/Q76ND9qkCkhiCQPY0eLs1mU6enVixakWpVD44\nOTkRfjWMxkfKI+uVCG8Lee02NyD5mgmXWsXQ2M6ctevXkq3uplwNJBIJI4aPIDI4grY3qmBgdwou\nP4O+F6DOn0r71VFBcChPMmVeOPg1I2WcKS+7lyMwNpTO3dwJCwsrtbXmR4sWLQg8dYEDa3+l4eJw\nDJr/BP7RqlcufEAQoH19kv7y5t35Qax8eZ56TRrhMcCLa9eulc7iC8DAwIARPiOIj4hk35I1OO6N\nQGr6NdqzdsCjl/meY7jRn0nDR33WdarLiBEjiIiIwNXVVaX4zp07M2fOnEJjrKys+OmnnzSxPBER\nEREREZF/GTGBoSbfjBnL8jW/0sXXkKWHtdS+kacpfjkr0N71C4yNjfM9npiYyNFjxxjiUboLDIuS\nF3o37/nz57x+/ZqwsFDq14dTp8DGJndMVBTcuaP85+EBq1dD167/HI+OhsRH0KYNoOCjLV5RdqrK\nBEamWtcjCGBlr632XWIHe2diAlWLlUig3agUVq3zVWsO+FDWP5aQdQVrjgDYT80kMPg8J06o1w7z\ngebNm9PDvRexswsu+68zKYuUevF8PWpwiTf006ZMo7VJW96OKfi6ykzLRP71Y1q0ba7RqgNnZ2eO\n7j+Kfl9dsk8UnDSQdNAiIyCLmb/MwnOgJykpaogpqkjNmjW5ejaQPtXckLWIg9uFvMZ1JWTOqELy\nudp8u302zZxbEhUVpfE15aRWrVqcOHiMn2etomy2FL0edSC8q1IHY30L6Jbj8yj6LSSmglNVSM+G\nNlVIDXXlVZkM7Du0wWOAJ3fvqmETqgFcXV25fTWUrdN8qTnmLAZfbIfAYr6WGlYmfW0X0mLHc9Am\niba9OmPt2IJ9+/aRmane505JkEgkdOzYkQt/+3Pj7EW+fG6EvvlopANXwPXofwLjnpB9+TZ9+/Yt\n1jyPHz+mb9++mJmZ0axZM7p06UJ0dDRSqRRbW1ssLCwYOXIkCoWCuLg4LC0tNXSFIiIiIiIiIiL/\nICYwioGnpydXb4TzZ2QTOi6SEV+6enqfkJUFq/1ljJv0fYEx69etwruzgnJlSm8dj59BZpbwUeU9\nPx49eoSzszORkQ/x8YEuncHFBTZvVv5ThR9mw4/vb7C5toe4uIe0aNGC8ePHF3rehwSGuntr85ZJ\nXA5Qr1WgtX1b4gIMVY53GqTg2FH/YolTDv/ah1t7Ia2A6ggAHSm0W5mCz5ghHxM+6rJs4Qoe79Th\n7c38jwsCmP+civ/Vw6zbsLZYc/wzlsDOLbsxvFyVd5sKtjosMzWLrJFPsW/XssTtKzlxcnLi+J/H\nkPbXJft4wUkMoY6EtEtyjnIMm9Y23Lt3T2Nr+ICenh6/rN+C31RfpE7x8Gc+vrY5MZeSfKE2oZ5P\nsW3dlHmL5n90YigJ/fr1w8HBgaioKIyNjdmyZQsbN25k06ZNeHl5ERt+h64vLJBZnlAmKvIyIxTm\nv89W9jOF9dHQxh98bUmNduNwg1gsWlgzdPRwjdurFoYgCPTu3Zu4iDus8J5Ihd5/IPPYA7eL6XZT\nXkr2ZEdSYscSNqE+Q/ymU71ebRb7LuHVqyL+dhqmUaNGbFm3kcS7ccyybE/FnkswbDMN9l9CZ/UR\nBg8aVGDLYWEoFAp69uyJi4sLMTExXLt2jUWLFvHkyRPMzMwIDg4mLCyMW7duceDAgVK4MhERERER\nERERJYLic0qq/4+RmZnJ0iWLWLZ0AT/2TsPHVemyUdocugpz/RsSdON2vu4jaWlpmNSuwvlf3tGw\nTumtw/8SLNxhy5lzhfdOXL9+ncGDXbh+7W2J57x8GaZ9b87lyxEqxevoaBGQnI2OrupzXD0LG6c1\nJujKLZXPiY2NxcHZCr8E1e/K/zxMHyfTacycPkv1xb3Ho283Uh2O0GJs4W/ffe4yBrSZzrRvC052\nFcba9WtZuOtbmp5LpgCjG5JiIMhByrEDJ3FwcCjWPB+4c+cOzRybUvZQEtJCjBLertBCsroSV84E\natQa8fLly3To0ZHUbelI3AruvVIoFEjWgP48Xfb+upeOHTtqbA05uXr1Kp17deHNAH3kcyuDVsHJ\nHQDi05H5PKXmk/Ls/nkndnZ2pbKunBw9epSBI4aQ9EU50pZZQnk1xDqfp6G7MAqtrfcYPWIU06dM\no1y5cqW32HxITU1l9bo1zF28kCz3BqTObgu1S7iGaw+Q+l1FcSSSfv36MnXsRBo1KiUrqELIzMzk\nzz//ZO7KpUQEXif6zh3q1q2r9jinT59mzpw5nMsjYBQXF0fXrl25eVOZ5Zw2bRoVKlSgT58+uLu7\nf3xcRERERERERERTiBUYJUBbW5vvvp/B+UvX+TW4CV/MN+Cu5tweC8TP35Bxk2YUaJ26a9cumpor\nSjV5Ae8dSKxbFhkXGhqKpaWa6v8FoK9fdOtIrnipDmmqhwNg0QzCw2LUss6sW7cu8jQJLx6oPs8X\no9NYv8GvWOXmE0ZPIXSdQZHVJS5+KSz2nc+DB2osLAcjho+gbHItHu4sOMbQDMx/SaV7H/cSO4U0\naNCA337eyWtPGZmFvJfKTMgie/xz7J1baLQKwsHBgZOHTiAbpEf2kUIqMQQBxRiBlL3p9BzswdyF\nc0tFF6N58+ZEXAun7C9pIAsG8wISd2ffQdlg6BFLypN3RNd9gqNbW0aMHYmDgwOWlpYcPHjwY3iP\nHj00VvXg5ubG3fA7fGnQFqmFv1IPQ1Uq6ZOxzJrU4PaseXwY4wamLPJdrNZ7vKRIpVKmTprCg+h7\njK3pgtR2A7oTj8GzErg3NatF6vaepN0azfZKd7Fr2wqnzq74+/t/VhtWbW1tPD09CbsUyNMnT4qV\nvAAIDw+nadOmhcakpKRw6tQprKysPus1ioiIiIiIiPz/QkxgaIDGjRtzMSAY9y9n0mKGFL+/JaWm\njXEzHm491KJPnz75HlcoFPitmF+q1qkfCL1jgLVN86LjQq9h2SRZI3PqSyE1VfXEglSqS7qaeyGZ\nIZjWlxIaGqryOYIg0MLeTmUdDABTGyhvLOfIkSPqLRBwdHTESKcS94pwMq1QD2xHZTB20ki15wDQ\n0tLipzW/EDNViryQAppqXaDKsHd09exc7JaVD3Tt2pUxQ8bxxlOGopBOiDJjs2Dyc+zbtdSoloK9\nvT2njpxCNlSf7EOFJ94EJwkZV7NYfGgJbr3cePu25FVGealSpQp7d/2OVx8vhJgMCCmgyqetEQSb\nK//tr0dqWF22XNjJ7btRLF++nJUrVwJw+PBh7OzsqFatmsbWaGRkxKbVGzix9y+MZyQg6xUAj9TQ\nCKltQNrPTUk658TcgJ+oWd+EjZs3flYtibJly7Jo7gLuRkQxUG6OtPEatH88A+9U/7z5hOplyPzx\nC1LjJ3Chd1l6TRmGiUV9NmzcUCoaKoVRsWLFYp9bULIclNVntra2ODo64u7uXmrVSCIiIiIiIiIi\nICYwNIaWlhaTJn/L5cAQ9t22xulHA24X76Z3oazy12fkqLHo6ubfE3H+/HnSU57QoXBnU40QFq2l\nkh3fzZuBaMq1T6qvXgJDX6qrdgUGQBP7DLWFPB3tXYkNUM9b13nUO/zWLVbrHHhvvTl6KmHrDIqM\nbfVdJheDTnPq1Cm15wFo1aoV7h27Ezun8D4cs5mZPKtwhzETRxdrnpzM+2EeNmVa8nZy4e0IRqOz\nkXz7AnvnFsTExJR43g+0aNGCM3+dxmCYPtkHikhi1BRIOyvnfNWLWLa0JDIyUmPr+ICzszOL5i6k\nVrWayNonIOzIx2Ui703vqjrIfcrxupcW3QZ5EBUdxatXr/Dz82Pq1KkaXyNA69atuRN8i9GNeyG1\nPoGwJVY9p4/GZUnZb8+r/U2ZtGshphZm7N27t1QdVvJSrVo1Nq9eT3hQMN2iKyCtvwrJqiuQXoJk\nir4ODGlGUogPCWudmfz3eqqa1GTytKnFro76nFhYWHA9r33Ue+rVq0dwcDA3btxg1iz12+FERERE\nRERERNRBTGBomAYNGnDu0jX6+szH6UcDJu/Q5a2GbrQ9fwv7AsBnZMEbRL8VCxjrXbBegabIyIA7\n91KwsLAoNE6hUBAaGoWmBOmlUkhLK/gOf0JCAu3atcPCwoImTZqQlir/pALj7SsY3xM8raF/S4h5\nX5X/8hkMcoRelqCtm8algJOA6uX29i1bcS9Aqtb12HtCWGgod+7cUes8gAH9B3DvTDZvi9j/6Mig\n3YqSCXouX+THo191eFuI9IgggSbbU9jnv5Nftv1SrHk+IJFI2L/jD3T+rsi7HYW/mI1GZqM14xWt\n2tkTHR1daKw6NGvWjLNHz2Lgo49if+EbaEFPQL4+i8Qpj2nm1KzUhAzLli3LlVOXqDY7A71xT0D+\nPjkgAJeTwPoWdI6GW+9f9N4VID6DtGpZPLeRU6uuMVZWVujrF+5iUxL09fVZMm8RV05coOG6dxi0\nvwh31fSdblmJ5FOOPFxjxuBF4zBvYcWJEyc+a2tC3bp12b99NwH+Z2l7Ih1Zw9Ww7QZklSCZIgjQ\nrh7JB/uSFDCU1akB1Lcyp2vfXqWS+NIULi4upKenszmH8nJYWJhG3YBERERERERERFRBTGCUAhKJ\nhG/GjCP8diwvy3rQaJKUX89R4raSzackdO/WjapVq+Z7PC4ujvPnzzOwW+l/yY+8B6a1qyKVFr5h\nT0xMRFs7G01Vq0ulkJpa8CZcR0eHFStWEBERQUBAAG/epHI3jxbnTwugsR3sDYX5v8KSccrHj+4C\nr1HwWxDcDITAgAC1yu2bN29ObHAqmWoYQOjogdOQTNasX6n6Se8xMjLC27s/IZu0i4xt2B10TV6w\nctVytecBZRvD3B8WcOebwnU3dMqC9Z8pjJs8mhs3Chd3LYpy5cpx7M/jJE2QkhZceKzR8Gy0f3hJ\nq3b2GrUStbOz49yxcxiM1kexV4U38BAJaX/J6T+uP1OmTyErSzPaLzmxsrIi4upNWsU0wOCLBHgs\nBzsZJFhBqDmMqQI9YpXBZbTgiBncMEe+vSYp9RRsOPAzpmamdOvWTe0qI3WwtrbmZkAw0zuORNri\nNJIVkept/gUB2lcn+aoLUd9WoMdob+xdHQkKCiq1NeeHlZUVpw8f5/iOP7DeHI+B9QY4eEu9ypL8\nqFeRjJVupN2bwPF71zlw6GDR5/yL/Pnnn5w8eRIzMzOaNGnC9OnTqV69eoHtJYW1nYiIiIiIiIiI\nFBcxgVGKVK1alS3bdvHH4dOsuWSO/SwDLhXzJps8E9ae0GPcxO8KjFmzajmDe2ZjoL5LntqE3UGl\n9hGlgKcaFiBFoExgFJwhqFatGjY2SutGQ0NDZDJ9nuSpULh7G5q3U/5s2hAS4+DFU9DRhdRkyEgD\nmRG8evkGX19flcvty5Yti7FpNRLUFN538ZGz/ddtJCerrxMydtQEQjfrkFVEYYUggMuqZBYsmkti\nYqLa8wCMGjEKw1fVebin8LgyFtBoXSpdPDrx/PnzYs31gSZNmvDT2i287iUj60XhsUZfK9CZ+woH\nl1bcvn27RPPmxNbWlvPHz2MwRh/FnqITEkJzCelXs1h/eQPt3F14+TKfdo8SUr58eU4dPsHYdsOQ\nNb8H4akge/9x7lZWWZnxMk/Lw9xHsLwWqZPK8qDBW84GnmP48OGlWtWgra3NtCnfEhZwA7uD2hg4\nnIXwQvx/80MigKcJKREduNo3G2ePjnT06KLRv7EqODo6EnwhkD2LN1B31jUMHLbAOQ1or6TJ0brz\ngq+HDC35WKVI9erV2bNnDzExMYSHh3P48GHMzMwICwv7JNbU1DTfx0VERERERERESoqYwPgM2Nvb\nE3DtJuNmbqTf+op4rZIRq6YBwB+BUNesIba2tvkeT0pKYuu2LXzTr2QCiqoSGqWNtU3RQhuhoaFY\nNtGcWJ2ODmRnK1QS94uLiyM1JZ2aeYT3G1rDqT+UP98Mgkfx8PQhdPaGMwdhRAcYNh0qVROws7NT\nq9y+lb0j0Wre1K5sCg1aS9i1a5d6JwLm5uY0amRO5J9Fx1asDzY+csZNHqX2PKDcjP68disxk6XI\ni+gIqOEJ5bze0LNv1xILMXr18WJwr6G88ZahKCJ/YDRYge6C1zi6OnDrluo2uEVhbW3NBf8LGI6X\nodipQhKjikDaCTlXLa5h0dxCLUFYVZFIJCyYM5/d635D1vUhwobnyqqAoGSlHkaFHJU50WmQKAcn\nI8iCLO+yvNtfjYi7t2nn/kWptwKYmZkRePoSS4fOxKDdebR/CId0NatTdCQohpmRGt2Jk62eYOfU\ngn5DBnD/vhquJyVEEAS6dOlCdHAEm8b8SNUhxzFw+w2Ci5cUBNBeG4SXlxeVKlXS4EpFRERERERE\nRP43ERMYnwmJREL//v2JjL6PpesU7GcZMGSjVGXb1Q/WqQXx67ZttG0GJjU0tOAiCIuRYWVtXWTc\nzZuXsbRSo6eiCAQBpFLtIm0Wk5KS6N27N+ZN6pG3kHnId/DuNfSxhd1roKEtaGmBYRlYcwR2XoVG\nNpAhT0dLG4YNG4anp6dK5faO9i7cCwq7T/MAACAASURBVFC/BKbdqCT81i4u1t3wCaO+JWydkUqx\nrb6Xc/bSCc6dO6f2PKAUaez0hTt35xYtVlp/fgZxQhjfTp9SrLlysmzhchpkWvJ2ZtHzGg1SoLv4\nDY6urQkPDy/x3B+wsrLi4omLGE02QLGj6FYIQVsgc2k2z+a/wMHVgR2/7Sj23P369cPBwYGoqCiM\njY3ZsmULGzduZOPGjXTt2pXJoyeiPT4RoVIYjE2A3Xk8lGckwvya7wcrD+ufwYj7ZP9izKVWMTS2\nM2fNujWlKpYpkUgYMXwEUSG3cA6pioHdKQh4pv5AUm2ypzQmLboz+6uH08jWgtETx5S42kcdJBIJ\n3t7e3L8dw6KuIynbZQ+yfvshpogyoby8S0d7/TVmTC64sk5EREREREREROQfBIVo2P6v8Pr1a1Ys\nW8LaNavo0TyLGT3SMK2Sf+zVGOi9phKxcY/Q1v5U7yA7OxvzRrXZNOMhTs1KeeHvqd5OStA15Waq\nMCwsjNm69QE2Rec6VKZGTX0iIuKpUiX/J0wul+Pu7o6bmxvnLx3Fvrc/nbwKHs+tDuy/qbRP/YDv\nRKhUDf7aUpuZ0+fRq1cvPDw8OHbsWKFrCw8Px82jFb531LOxzc6GqQ0M2LfjJPb29mqdK5fLqWla\nBY9jr6mqgljq7f0QOtuU8Bt30NFRzzUF4MmTJzRoUo9m55Mxalx4bPpzCGgmZaPvVvp45m/9qyrP\nnj2jSXMLtJY/w9Cj6PiknQKpk8pw3v8ClppSkQU8PDw4cPAAihqgnfCpS4riuYLsAXIUjxWQCZLJ\nWgh2EnS7a1M2vQwVK1Rk/vz5dO/eHVCKxG7YsKHEtqbv3r2j3xBvzsZfIXl/DTBWo3XrdioGXz+l\ngcSEXT/9RsOGDUu0lqJQKBTs3buX4eNGkupVg4x5FmCo/msRgMep6M2LRGt3ApPGjmfKhMkYGamW\n0NMUycnJLPNbwZLlS8nytCBtphPUKFPkeRLfC7jfkHFw177PsEoRERERERERkf9+xAqMf4ly5cox\nZ+4C7sTep3rzcTT9XsbwzfrEPf001u+4jG/GTs43eQHg7++PVOcNbZqW8qLf8/QFpKVDrVq1Co1L\nS0vj7t3HNG6k2fmlUq0CKzAUCgVDhw7F3Nyc8ePHI5MakJGWO+bdG5C/77TZvxmatc2dvIiPhmeJ\n0HMoxMc9/FgVUVTVB0Djxo15/SSTd2reiJVIoN3IVPzW+qp3IkrhUp9howldX7jl6AcaeYCk+jNW\nr12l9lyg1HaZPeNH7owpXNATQK8SWP+RytejBpe4GqJy5cr8vf8ob0fISFehO8TQW4F05RucOjhq\ntIVjwoQJ7Nu7D8ljCfzyacVC9ppMsBXQDtFD66wu2ZMyobFAmk86r6q8QrecHkuWLAFQSyS2KIyM\njDj8+yG+7z0RaYt7cEYN54/GUpIv1CbU6zm2rZsyd+Fc5HLNVU7lRRAE+vTpQ2z4Hbq9tEBmeQJO\nPCreYNWkpK+xJSWwHcvu7KFWfRNWrvIjPV11u+WSYmBgwKzvZxAfFYuPkT1Sy3XoTDsJrwr5zEjJ\nQG95AHOnidajIiIiIiIiIiKqIlZg/Ifw4sULlvkuYsOGtfRsrmBi5zQsjOHRKzCfrM/duETKly+f\n77luHdvg5XSRr3p+nrWevAJzf7Hm3MWQQuNu3LjBwIHtCL7xVqPzWzQx4tChIBo1+jQzcvHiRZyc\nnLCyskIQBBIS4nHt+4r672/Ae/pA6BWY+ZWyHcWsCcz+GYzK/jPGFC8YuwCM60G3egaUL1MfuVzO\n3Llz6dmz6Ce5rWtz7Cdew7azeteV9BIm1tUjNjqBypUrq3Xuw4cPaWRpxui4NPSKvvHL8yjY6WjA\n7Zsxxdo8Z2ZmYm7XkLIz71LTs+j4hG0Cz+fXIDQonHLlyqk9X062bN3ChIVjqBSUglbZouOT9kLK\nmDKcOXq2QA0ZdYmLi6NDhw68SH3B29lJMPSfXHD2xkwUYQq01uqguJtNVic5WlG6KDZmoRBAJ1Yb\nxaoszp4+y6xZszhy5IjGbU1PnjxJrwGeJE8tS9aEiqjlqxyfjsznKTWflGf3zzuxs7PT6Nry49ix\nY3zpM5gkl3KkLbOECqol4/Il9BUG028jC0/B98dFDOg/AC0tLc0tVgUePHjA9z/OYu+ffyCf7EDW\nmJYgy10RI/hdxvWsAv8/j3zWtYmIiIiIiIiI/DcjVmD8h1CxYkUWLPLlTsx9TB2n8sWCMnRcZMjE\nX7Xo69W3wORFZGQkwcHX6avmZrkkhEaBtW3LIuPCwsKwtNR8T72+vlBgNYSjoyPZ2dmEhIQQHBxM\n/wFeGNdTJi48fZQx1q3gUBQcjIRl+3InLwB89yiTFwA2jjBq1CjCw8MLTV4kJCTQrl07LCwsuBUW\nx/FVn24Y3z6HhZ3gOxuY0gTObX3/+DOY7Qg/tgXTpgp+3rIZULYWPH6smtprzZo1cfmiHWHbVduo\nVmoIlkMzmDD1G5Xi86Ktrc1Pa34hZpKMTBW6ZYwHKdDv8Jw+X/Yqsc7CkK+G4Onal7eDpChUGMrQ\nE2Tr3uLcqS3Xr18v0dw50dPTI+B0AGXnGMGmf/LAwjAtFBHZZNZII8s6A4mfNoIgIHhrweFsMs6k\nkzkjG+cOztQyrqXx5AWAq6sroQHB1NshQ+r9CJLVEMw00SPlaC2iJ2bg6NaWCd9OVKn6qCR06tSJ\nu+F3+NKwLdIm/rC/BMKc1uVJPuLAs+1WfLNpJvWsG3Lo0KFSdVvJS61atfh10xZCLgbS6boe0vqr\nEDYEgfz93yElA/0ll1k088diz2FkZER8fDxSqRQ7OzvMzc1p2bIl27ZtyxV35MgRZs+eDcBXX33F\n/v37cx03NFSWnz158oTOnT/jfyQiIiIiIiIiIsVATGD8h1GpUiVm/jCH+AdP6ffNahIVtkyYPK3A\n+NWrfBneW45+CW5YqktYtAFW1s2LjAsNvYaVpXpaEKoglRacwPg01oj0Euy9mtgnczngdJFxOjo6\nrFixgoiICNauWUvkBYGHeVwe/deAqS0sCoGZZ2HHJMiUw+Vd0H4UzAuCpDcZrF2/kgMHDqjdWjB+\n1BTC1hXd1vGB1jPknDh7lIsXL6o8R06cnJxwderI3fmqaRc0XJ5O+KsAfphb8pL5dSvWU+tZA94t\nyL+tKi+GHmCw8R0undtx9erVEs//gfr16xNwOoBy841gvfKJVyzIQrCRoJ2oj1aILtmjM1G8UyCU\nEdA6oov2VT0ko7WRW2eyN2Av9RvVp1evXiqJxKqDqakpIZeu467rhEGr+xCrRkuFIMCXFUgNq8vG\n+N2YWTcotvCrqhgZGbFp9QZO7P0L4xkJyDwC4FEJHIzaVCHpghPxi4zxnj4c69ZNS/0a8tKwYUOO\n/P4n5w8ex/6PVxiYr4XdoUhWB9C2laNGqlvMzMy4ceMGt27dYvfu3axcuZKtW7d+PL5s2TJGjhwJ\nKFt3hDzVOB9+r1q1KuXLl+fGjRslXpOIiIiIiIiISGnxP53AOHDgABKJhKioKEBZ9l3Y3aqtW7ci\nkUg4derUJ2P88YfSd9PZ2fnjXdx79+7RoEEDTpw4ofG16+np8dVXX3Hu4lUaNGiQb8zr16/ZtWsX\nI71KZlOpLmF3tLBWwYEkLCwADWonfkQqVU2PAkAmNSStBAkMS3sICLhUZFy1atWwsbEBlK+RzAwF\nLx7kjilXHVLfd9OkvgXDiqClDVq6kJYMGWlgUA5klVOZPXs2U6dOVWutzs7O6CvKE39etXhdQ3Be\nmsKw0V8V2+p0le9aHmzW4V1U0bESXbDam8Lqzcs5cqRkZfMjRozgwZ2HPJ+TTfLRT49nvYLEnhBv\nDfdbQnoEGPYA/aXvaOVgj5mZGQcPHvwYr061S17MzMwIPBNI+cVlENYqUFzORuKpbFkQ6kkQ6ggQ\nlTurlD03E62FOqSOyuB+mfvcjr/Nd99p3olCKpWyZ+suFo6YjdQhDv5+o94AVXVI3V2DRF893Pp3\nZfDIIbx9q9mWsLy0bt2aO8G3GG3eC6n1CYQtsaiclcuLIIB7LZJDvuDmKCmdv/LAyc2F4OBgzS66\nCJo1a8Zl/7Mc2vgb5iuiYPoJlv24UOPz1KlTh+XLl7NqlVLfJiEhgYyMDKpWrfoxprBKlG7duhXL\nzllERERERERE5HPxP53A2LVrF+7u7rm+kBV1t8rS0pLdu3fnGuPDxhT+uYP14MED3NzcWL58Oe3b\nt/8s15OXn3/aTOc2AtXVk0soEXI5RN5NwcLCotA4hUJBaGgkVlaaX4NUqiAtLa3oQJQbuIxU1e7S\n50d9S7gf/5jXr1+rfE5KSgogYJin68dlGDyIgJE14DtrGOSn3F+19obrB2FhB+gxHSo3TEKenaJ2\na4EgCIwbNYXQtQYqn2PuCdmVHrN2/Rq15vpA9erVmfn9bKLHqlb5oV8drH5PZcCQfkRHRxdrToDB\ngwfj7++PSW1T3nwlJSM29/GXC0DPDkxCodqv8Gyc8nHFKzAal82TN4/48Udl+b4mhDTr1q2rTGIs\nLYuQKqA4qextUTxRoIjKhrr/3PVWRGdDogLBSYKgAPmYbKJ73OXilYucPXu22GsoCEEQGDNqDCf+\nOEb5Ya/QnvsUstVMCHQvR2p4XXZn+VPHoh6HDx/W+Dpzoq+vz5J5i7hy4gIN173DoP1FuKuGKGle\ntCQwoC4pUR252CWZ1p2d6d7Pg5iYGM0tWgVcXFwID7hBTHQ05ubmpTKHra0tkZGRAFy6dEmtKo8W\nLVpw/ryKGVARERERERERkX+B/9kERlJSEoGBgaxZs4Y9e/bkG5P3bpUgCLRp04agoCAyMzNJSkoi\nNjb2k2qDhw8f0rFjRxYsWIC7u3upX0t+ZGVlsWa1L+P6l6DEuhhExUHtWpWRyWSFxj169AhByEID\n5gqfoK+vULkCQ19fn/TU4gv4aWuDhZ1U5baDpKQkevfujX2rpty/mfvYgQVgYgPrE5VtJL+MhtR3\nICsDU4/A/KvK468fw8PE+3h5eeHp6Vlka0FO/Y3169Zz+0gG7xJzx0QdhI3WsMkWNjeFe++7YlKe\nw9tXyUycMDFXNZI6FQnjx4xH92FlHh1QKZwKDlBnTgqde3YgKal4LUZt2rShfPnyyGQyFsxaxOue\nMrKT/zmecRtk7ZQ/6zaEzDjIfAroKn83XJNC6M0QLly4gJ+fn1rVLv369cPBwYGoKKWN8JYtW9i4\ncSP+/v4Engmk4t0KKH7PJtM6nSzXDCRLdBAq/JPAyJ6RiWS+Mqkm9NNCsSGLzN0ZZE+Dzn274LvC\nt1T0Glq3bk341TAsjlVC1jMR3qihiwFQTpu0TdV4+WsF+k74ku79evL0aT62SRrE2tqamwHBzOg0\nCmmL00iWR0JWCTRUdLVQfNOA1Gg3/rKIw9LelsEjvyYxMbHoczWEIAjUqVOn1MbP+dqJj4+nevXq\nuebObz0fqF69OnFxcaW2NhERERERERGRkvI/m8A4ePAgnTp1onbt2lSuXLnAvt6cd6tA+WWuffv2\nHD9+nEOHDtGtW7dc8QqFgq+++ooxY8bg4eFRqtdQGIcOHaJ6pTSal0KLRmGERqFi+0gYlpZ6apkf\nqIpUqnoCQyqVliiBAWBhn8KVgMtFxsnlcnr16sWAAQPw8vySuwG5KyiiL4P9e8eOqvWgch1IzNN6\n8edc6DULTJpm8vbdK7Zt2/ZRgK8gcupvBAUFIdWVcmlh7muu4wo+oTA8GLpthSPDlY+H74JWk6Hl\naG2+/U65iVenIiEhIYEOHTqQmaTgupdA9NJPY95FwvlWcFgfYpYpH6s9IptMq0eY1KmNpaVlido5\nxowaQyc7d958Lf1YBaJnDUnKri/SgkAeD5kPwcgbkg7Cq6VQbl427d1csbe3V6vaZdeuXSQmJpKR\nkUFCQgJDhgzBx8cHHx8fTE1NuXbhGlXTqqD7pR7aN/WQeOf+W2jt0UWop/zoFSoLaF/SQztcD63Z\nOmQEZDJn+4/0GtCL5OTk/KYvETVq1CDoTAB9a7kja34PIorRX9XOiJSwuhwzvoaZZQN2/LajVAUy\ntbW1+W7yVMICbtD0sA4GDmchXPWKqHwx1CFrhgVpkZ3YaRCEWZOGTJo2hVevXmlkzf8mwcHBH6s7\nBEHI9bepWLFirmt8+fIllSpV+vi7QqHIN8khIiIiIiIiIvKfwv9sAmPXrl14eip3i56enuzatSvf\nL2Y5v9x9+NnLy4tdu3axe/du+vXrlyteEARcXV3Zvn17qSvzF4bfinmM8y5BSXUxCbujjZV1qyLj\nQkNDsbIsneoQqTRbzQRGyV7mlvaZXA44WWiMQqFg6NChmJubM378eOzt7bkbkNs2sUYjuPl+mNdP\n4FEUVK37z/FH0fAqERo7Qb2WWZy/cJ7U1NQirzWn/oahoSF2dk25vUuLLPk/Mbo5ukoykkD2fs+i\npQvyZGgxSc6Ll8+5ePGiWhUJH5IncXFxdO7aiZiF8C6PeKluRbBcDWaT/3lMEMCgaTqZRil4efdh\n5cqVQPHaOQRB4Jf1W6l8pzbvViqTBRW+g+zXcN8WXq8BPVsQtECrDNQ8ArWvQtlhQMMMVm5cgbu7\nu0rVLqpQu3Ztgs4GUWljBYQl6p0rmEpIuyTnmLY/1g7WxMbGFnmOuujq6vLz2s2s/n45Uuf7sK8Y\nm3aZhIwlVXn3V3VGLBmHcxcX7t8vgXOICpiZmRFw6iLLvp6FQbvzaP8QDulqVpHkpZI+GUutSQ1t\nz7rnf2HcoA4LfRd/VscSTRIXF8eUKVMYM2YMACYmJrmSgc7OzuzZswe5XPnhsHXrVlxcXD4ef/To\nESYmJp930SIiIiIiIiIiavA/mcB4+fIlZ86cYejQodSpUwdfX1/27t2b75fSnHerPtC8eXPCw8N5\n8eIF9evX/+ScqVOn0rx5czw9PcnKKuEX6GIQEhJCbEwkHq6ffWrComVY29gWHRd2GUtLeZFxxUGq\nn/VZExhW9nA1MLjQTc2lS5fYsWMHZ86cwdbWlmHDhpEQlcxRPzi5URnT/Xu4dw2+tYYFruC9BAwr\n/DPG7zPAa77y505jQNCWY21tzfjx41Vea1xcHLGxsdRv0IA7h3IfizwA6xrDTjfopOyawtJb2V6y\ntxfYT87Gs68HAwYMULkiIWfyZL3fJrLfafEqT7eNXmUo3wyEPGYlWgZQ0yedJSsX8ObNG7KystRu\n5/iAVCrl6B/HSVtsQMoZkBhB1S1QO1ipgZH1DHTq5j7n5VyovAJ0vkzh5PkTDB06tMhqF1UxNjYm\n6GwQVX6qiERNrUZBKpCxNZP7wx9g62DL0aP5qJRqgCFfDeHCsbNUnpyM7rdPILMYm/ZmBiRfM+Vy\n67uYN7Vg1dpVJbbJLQyJRILPMB+iQm7hHFIVA7tTEPCs5AMbG5C2uSnJW2yZO3+uyho7/xaZmZno\n6Smtp2JjYz8KU3t5eTFu3DgGDRoEKNuGclYfdunShTZt2tC0aVNsbW25cuUKixcv/ng8KCgIJyen\nz3sxIiIiIiIiIiJq8D+ZwNi3bx8DBw4kLi6Oe/fucf/+fUxNTT+5Q5j3blVOFi1axIIFC/IdXxAE\nVq5cSZkyZRg6dGipXENh+K1YxCivdHRUc6/UKKFRcqxUUOYMCwvBshQEPAH09DPVSmBkpJWsJLpK\nDdCXUejdcEdHR7KzswkJCSE4OJiQkBCsmzaithW4+ihjylSCKYdhcSgsuakU78zJuD3K1hKAMpVh\n1PZsKtcwomfPniqt84P+hp+fH1PGTidsrVGu4416wKjb0PcwHPhS+ZheGeh3BL6+CvaT4G3KC16+\nesGwYcPUrkjIzMzE0MCIZ7/JVBL0rOUNLy9Advk0ouOimDt3LgMHDlRbvPQDJiYm7Nuxn9feUtIj\nQJGhfPzNZpC2BYnhP7EZ0ZCZCFIn0DEF2TcZ9P7Sg0ePHhVr7vyoWbMmQWeDqLqtMpJ56p0rCAKK\n0QIpf6TT6+ve/DDvh1JJDDRt2pSIqzexu26CzO0BPC+GG42OQOb0yiSfr833O+fSrG2Lj85PpUXN\nmjXxP3CULT+spmzPq+iOD4GkkidMZVsfMGPadKRSqQZWWXpERERgZmaGiYkJKSkpH4WpAwMDGThw\n4Me4WrVqoaenl+t1PWvWLMLCwggODmbv3r1UrFjx47HDhw/j7Z3ng0lERERERERE5D+I/8kExu7d\nuz/Z9PXq1YtFixZx9+7dAu9WfXAYAejUqRNt27YtdJ5t27bx6NEjvv3229K5kHx4+vQpBw4eZLjn\n56/8ePYSUlKVJfKFkZ6eTkxMIo0blc46pNKs904fqsRKS2Sj+gEre4na7QUOLZ2JCSh+8sTGDZ48\nS1BJQDSn/kaPHj3w8PDg+S2BZ7c/jTVpA9mZkPIi9+MX5oHr8mxmzpqOjY2NSvobH/iQPNm0aRPa\n9yvyWAWTCp0yYH8EXCOh9oQ0li73pXPnziolTwoS0oyNjWX6xJm88tQnvgnENYKU41DZL/f5L2ZA\nxffVLob9IPUcpBumcicukpMnC28XUocaNWoQeCaQar9VQWuO+q8FobWEjKtZLDu6nE4enXjzRk0b\nVBWoXLkyF46dZZitN7Jm9+BGMVu/GktJvlCbUK/n2LZuyo8LfvzYqlAaCIJAnz59iA2/Q/dXTZBZ\nnoATJUhAXXmGftBbJoxVveLp32DDhg14e3szb55qWbHJkyezYcOGIuOePn3K69evsbUtusJORERE\nREREROTfQlD8tzb7/j9l7o8/cD98CZtnf/4S59MBMPtnK85fCi00LiQkhP7eToSElI5GxxJfeP16\nAr6+y4uMDQwMZPiYjmwPKtnG79flkHL3a9at2azyOb///jsrdn7NuAPFfx4OL5YgifRk+y+7C4xR\nKBQMGjSIihUrsmLFio+PT5vxLefe+tF+VTovY6F8XaX2xKMbsM8TxuQoKHkRDWdnQq/dsN1Zi5q0\n4PjfJ3Fzc+PcuXOFrlEul+Pu7o6bmxvjx4/n5MmT9BnendYRKWjluJEdOQe0DcFs0qdj3JwAKaG6\n1E63YrTPGHr37o2HhwfHjh1T+bnK+Xx0/7/27juu6rL/4/jrHNY5DLfloFw4WQIOTE3FcpRWjpw5\nK7flNjPNHGmaDbeWmpYrd5aa5bizFHMgONJcOEpxD2QJnN8fJKmpcAaK/t7Px6PHfXP4Xtf14Ra5\nO2+u63M1b0h4jvXk/CLBqkay8ZvhUhN3ln2znDp16li99r3ExMQQGhbK6aYxJA9LtbpRoiXJgmtv\nJ/Kuz8uPy9Zm2RWc3y7+lg7dXid+fH4sbfNkPOBejifi0eUcBU/nZOHM+YSEhDiuyHtYu3YtbTp3\n4HpYLuLH+0Met8wPTrXgUWUTk7qNpH279llWo4iIiIjY57HcgfG4SkpKYurUCbzV6uGcz448CAHl\nK2X4XFRUFP4BWZeLmU0QH5+5UCCtB4b9tQSEQnj4/d/I3yk0NJQ/w5MzdZziXmp0TGXlipVcuHDh\nns/c2X8jKCitb0IOj1zsmplCUiz8sRSm+addo7r2bWh8Rx6y8T2o9c+OhBdnprB1yzb8/f0z7L9x\nZ/NSgOeee45qITU5+pHzHQ/ffY7YQ5B4GkJWJbHvWCTrN6TtgLC1Sa7BYGD+rIV4hRcgdoZ1P+LM\n1SH38jgav9bIpvDkXp588km2bdxGoWUFcR5itLpJpMHVwI3JqZx+J4ZKNSqxdOlSh9V2q2avNuP3\nTeEUGpmMW48zkGTjsZUiblxfXZjDfW9Q/YWa9B7YJ8ubHterV4+je//kNc8amP3WwZLjZPov3zfH\nKEJe2rZpm/GzIiIiIvLQKMB4hCxevJiyxZLxL/Vw1o867E5AYMUMn9u9ezv+/rFZVofZDPHxmZs/\n7QiJ/b0DygTBgT+iM310BdIaOTobXTl/3PZ1c+SHkIYGZs2eec9n7uy/ERERQf369Rk0aBC169Ri\nzzyoOgC67k27RrXDZih8xx9j00WQ55/+G3lKQMOZqXjkdv3PNcJ3uld4UiW4Gkc+NnD9KCScgR+f\ngiOfwp8jYd3TkHzLH98f70HZUeDsAcHLb/DNvHn4+flZ1bz0Tp6enqxdvo7rQ9yJ32rdWHNVyL0y\njqZtG/PDDz/YXMOdnnjiCbZtCMd7VSFc3rU+xAAwtDeSsPYGbfu2pe+gvlnSRNjX15e9v0dR9XhZ\nPMJOwmkbj4EYDNAmD/FRxZl+fCE+gaUy3M1jLy8vL2ZMnMbPS1bz1JBTuDfZBqcz+Dt7NQnzoH3M\nmjADo1H/lygiIiKSnenf1h4RFovln6tTsy4YyEjkQWcCAwMzfC4qahsB/llXh8kMiYnW9MCwP8Aw\nmcGnnPm2jv4ZMRgMVAqtwCE7b+YM6xbPpKmf2NTEsVe3/kRN8bR6F4j/axBnPsmML2fc97n7hSfv\nDR7CoV7umApA3ZPw4hV44RLUOZF2lOSmiovA42Z4UhkqrkjlWtJlQkNDrfxqb1eyZEnmz1rA5Wbu\nJJ/J+PlbmatA7u/iad7hVVatykRDj0zKnz8/4evD8V7jjctAJ9tCjBAjidtTmL59Bs/Wr3Hf3Tm2\nypUrFz+t/JHedbpirngMttjxc+dJF+IXFuLvj92o37oh7bt0yJJeHrd65pln+DNiPz18m2IO/AnD\nzMP33I3h+sEfvFy3AZUrV87SmkRERETEfgowHhEXL15kd9Qh1vzmxh/3vgwjyyQnw4Gjcfj5+d33\nOYvFQlTUAfyzMMAwmyE+kzshTCYTCfGO+S21f2giW8Ot+3V+tdDnORruate6PpXBNed11q1bZ/XY\n2rVr45SQg5O/WTfOYIDak64zeOhAm98g9+8zAMuBXJyxchNDgRfhyU7XaNC0PklJSTatfVODBg14\n6/VeXGnmgcXKjQTmUMjzfTwtX2/OypUr7arjVvny5SN8/Vae/tkbl3427sTIbyBh7Q12lY/At6Iv\nERERDqvvJqPRyIihw1k8fQGemRGW5wAAIABJREFUr5zGOOV85o9k3M1LuYjfV4JFlp8o7ufj0GDo\nbkwmEx+NGM3WnzZTemosHs/9CkfuOHq27zIuc0/w+ZiM++mIiIiIyMOnAOMRkTdvXo4ejSa/T29q\nvZGD5zt5suRHSEh8MOv/GQ3ehfLh4eFx3+diYmJISUmiUKGsq8Vsgrj4zO/ASHRQgOEXmsiWcOtu\nqKgSWoWj4bZdC3qTwQBh3WP5fPJHVo81Go281bUfkVPcrR5bIBDKNE+i/7t9rB4L4ObmxoyJszj0\ntjspVrZtKfFeMhfyHaJHn242rX2rEUNHEJSzMlf7WtHU8R+mSpBndTytO7Vk+fLldtdyU968edn6\n81aK/q8ILr1t3InhbCB5bCrnP7pEtTrVmPP1HIfVd6sXX3yRiC07KTLVGVPHM2DPjqacTiRML8DF\nr/PQoncbXm7ZiLNnzzqu2LsIDAxkT3gE79XvhrnyBpw+OQgpqWmNOzvt5qPho3jiiSesnvfChQvp\nx6YKFiyIt7d3+sdGo5GgoCACAgJo3LgxsbFpO1hSU1N566238Pf3JyAggEqVKhEdHe3gr1hERETk\n8aUA4xHi7e3N8BGjOX7iLO27TmPqdxUoXNuNLsNNbImw75ejGYk8CAEBARk+FxUVRUCAyaqbH6xl\nNkNCghVHSBLsa6R5U0Ao/L5th1VjQkJCOLYnnht2Bk3PtIStW8NterPToX0HDq1JJTbG+nWrD09k\nxXeL2bHDuq/7prp16xIaUI1j45wzfvgWBiP4zo1j6boFzJ4z26a1bzIajSz5eikua/Jy7WvrvzFN\nFSDPmnjadG3NkqVL7KrlVnny5GHLT1sovqUoLm/bFmIAGF41krgxmW7Du9P5rc5ZcnWpj48PUVt3\n83xcBTyqn4Djdn5D1/QiLqo4a5/aQcmAUnz9zdc2f/2Z4ezszDv9BhAVvovgVc54VNmE4Z3d+BgK\n0LVzV5vmzJs3b/qxqS5dutCnT5/0jz08PIiIiCAqKoocOXIwffp0ABYtWsTp06fZs2cPUVFRrFix\ngly5cjnySxURERF5rCnAeAS5ubnRunVr1m/cTsTuPykSMJiOHxSm5IseDJ/qxNGTjl8z6k8nAgKr\nZPjc7t278ffL2tsG0pp4Zu5X+kajEVdXJxIdcHGLd/G04OTUqVOZHuPh4YFP6aeJtnOHv5s7VG+b\nypRpE60emytXLpo0bcLuL52sHmvKBc+OjqdTj/Y29eAAmPLpDI5/7kJctHXjXHJC4PI43u7XnZ07\nd9q09k25cuVi7fIfie1jJsGGPwtTMORdG0/77m1Z9O0iu2q5Ve7cuflt3W/4/F4cl552hBh+RhK3\nJzPv2Hwqh1XmzBkrm35kgqenJysXrmBIywGYK0fD+qv2TehuJGnsk1z9viBdx/Wi5othnDhxwiG1\n3ouPjw/h639l/JtDeXLxZebPmOOwxp33+rMLDQ3lyJG0c39nzpyhYMGC6Z8rVKiQAgwRERERKyjA\neMQ9/fTTDHr3Pf44eJIFizdyztKRyq09qd4uB5/Nhei/HLNO5CEPAssHZfjcnj1bCQiwr29BRtxM\nmQ8wAExmFxIdkKkYDBAY6sq2bdusGlelcnW7G3kChHVJYuasL0hIsD6NebtbXyKnu5GabP26AW3h\nijGamfe5CeV+ihQpQr9eAzjU2/pjLDl8oczUeBo0qc+5c+dsWv8mPz8/vpw8i8uN3Umxoa2HW3nI\nuy6e19/uwIKFC+yq5Va5cuXi1x9/peTOErh2c8KSamOIkctAwsob7H/uAL4Vfdm61crrVzKzhsHA\nwL4D+H7+SnK0PofTuHP2b/2q4MH1HUXZUvUoZYN9mTB5gs1hWWYYjUY6v9mZ08dOUa5cuSxbByAl\nJYWffvopvXdQs2bNWLVqFUFBQfTr14/du3dn6foiIiIijxsFGI8Jg8FAxYoVmThpBn/9fYEBQ79h\nT0xLKrb0JOhVL4ZNNrJjL9j6viDqYHKmjpBERkZkaQNPSOuBYV2A4eqQHRgAvqHX2Bq+2aoxVUNr\ncnybZ8YPZqBgKShS3sKSJdYfYwgKCqKId3EO2XArqMEItSdf553B/bh48aL1EwAD+71D8p4cxKy1\nfmyhppC7xRUatXyJ5GQbEphbNG/WnI6vvsGVlu5YbGiN4hYAeX+Kp1Of1/l63td21XKrnDlz8uuP\nv1IqqhSuXZxtDzGMBlLet3B56jVqv1ybydMmZ8nRjLCwMPb8Hkmpb70wN/8bYu3sM+NiIHlwfuI2\nP82780cQ8mzFR7o3RHx8fHpvjJMnT9KlSxcAChcuzMGDBxk9ejRGo5HatWuzYcOGh1ytiIiIyKND\nAcZjyNXVlYYNGzJz9nzOxFxmwrQfiDV1p82QwhQKM9NxiJlFa+B0Jn+hfeEyXLueStGiRe/7XFJS\nEocO/UXZsvZ/DfeTdoQk82fwzWY3h+zAAAgItbAl3Lo3HKGhoRwKd8ybyLDusXw2eYxNY3t3G0jk\nZNuClIJBUKpJIoOG9LdpvMlkYvqEmRx6y4MUG9on+IxM4rghiv7v9rVp/Vt9/OF4SqcGcPU9226H\ncfODPD/F07V/Z4c2zsyRIweb1/5CmT9K49rJ9hADwNjAiaTfUhg4aSCtXm9l066djDz99NPs2ryD\nVzzDcA89DoccsEZZM9c3PMX+owfYvn27/fM9JGazmYiICI4fP47JZLrtFhtXV1fq1avH2LFjeffd\nd1mxYsVDrFRERETk0aIA4zHn5ORE9erV+Xj8BP44eIot4XsJqjGGeRtr4PuKO6UaePLG+2bmrIBj\np+6+GzzqIPj7+WDIoDPngQMHKFbUjNmcRV/MP9ICjMwfUzGb3UhwUIDhWxEiIw5a1SixZMmSxF2x\ncNkBbQmCXoRTfx1j165dVo9t2rQpZyMNXPjTtrWrj0jk26ULbL6y84UXXiCkbCjHxlvfi8PoDP4L\n45iz+Eu7e1A4OzuzcuEqWJCT2KW2zeHmC/nWx9Pjna7M+mqWXfXcysvLi1/W/A/fQ2Vxfd0ZS4rt\nIYahpJGE8GS+u76K4OrBWdJfwmQyMW/mN4ztMQJz1ePw/WW753Qee57Q8pVo2rSpAyp8uMxmMxMm\nTGDw4MFYLBYiIiL4+++/gbQbSSIjIzMMhkVERETkXwow/p8pXrw4Pd96i+++38T5C9dYunILQTXH\nsTqiPs+0zcnTz7vTaqAHE76BzTvhaixE/QkBARUznDsyMhI//yy8CuUf1gYYJrPJYTswPHOAd1E3\noqKiMj3GaDRSoXIgh61rnXFXTs5Qs3Mik6Z+YvVYk8nE6x07sXuqbTsPzHmg+sgE3uxue0PPaZ99\nwfFPXImz4b20a14IWBrHm907snfvXpvWvylfvnysXrqGq13dSdxv2xyuZSHvhnjefq8HX8760q56\nbuXp6cmm1ZvwP+6Hawc7QwxPA4kLkznS/BgBlQOy5LiCwWCge5furF+5jjxdLuM87CzYuntkTzxu\nEy7zzfS5GQam2c2t9d7638uXL4+Pjw+LFi3i7NmzvPTSS/j7+xMYGIirqys9evR4GOWKiIiIPJIM\nlqy8u04eKRaLhSNHjvDLL7+wfdtmInaFs2f/EbBY+PSzyXTq1Om+4/v160WuXBMYOCBrv6WSk8HD\n00BKSkqm3uRUqeZPpw/3EvKsY9Yf/oaZWkHj6N69e6bHDPtgKJEJo2k+2r4eDgCXY2BgGRPRR/8m\nd+7cVo2Njo4mIKQs3U8k4Oph/dqWVPi6igdDu06kQ/sO1k8ADPngPebt/ZSAxZm7CvdOp+YaODui\nIFHb99l9g8PsObPp9WEP8v0eh1NO2+ZI+hMu1DYzbugndHmzi1313CouLo7aLz1HVIEoEr9KxuBs\n3xv61A0puLV24f1+QxnQZ0CWBARnzpzhhVcbcjDnSeK+KQC5rLg+NyEV90rRfN5rLG90fMPhtYmI\niIjIo087MCSdwWDAx8eHjh07MnX6bMK3/8GVK3HsithLu3btMhwfGbkVf7+sz8OcncHJyZDpYxxm\ns8lhR0gA/ELj2brNut9kVwmtyrFw62/huJtcT0L5+ka+mjPb6rFFixalyjOh7Fto29oGIzw3+Tr9\nB/Xm8mXbjgu8O2AwSbu8OPuzbTV4t7VgrneBZm2a2H1bRYd2HXj1uRZcbeuOxcapXEul7cToP6IP\nU6ZPsaueW7m7u7Nh1XqCzpbHrY0zlmT7/m4Zw5xI2pbCiIUjebnly1y/ft1Blf6rQIEChK//jdeK\nv4J7xWjYm/m/eK7vnePZklV4vcPrDq9LRERERB4PCjDkvpydnSldujRubm4ZPrtnz4Esv4HkJrPZ\nmfj4zL05MpvdHXaEBMA/FMLDrbuislKlShzaEU+K/RswAKjVLY6JU8bb9Aa+d/e0Zp627r0qVAFK\nvJTIu0MH2jTebDYz9bMvONTDg1Qbb9wt/Uki+y6H8/6IobZNcIspn07lqQuluDrKit0Cd3AtCXk3\nxvPOh/2ZOGWi3TXdZDab+WnlTwRfDMKttTOWG/aFGIanDSRsvsHP7hvwD/Xn8OHDDqr0X66urkyf\nMI0pQz/HvdYJ+PZSxoN+vorHwni+nj7nkTs6IiIiIiIPjgIMcYiYmBiSkhLx9n4w65nNTg8twChe\nFs7GXODChQuZHpM7d24KFs7PqX2OqaF0VTCYr7J+/Xqrx9apUwfLFQ/+sqMnx7MfJrBg0ddERkba\nNL5BgwYElKjAsc+sb+gJYHQB/8VxTPziE77//nub5rjJ1dWVHxavJmW6F9dX2zFPCci7MY7BYwfy\n+aTP7arpVjdDjIrXKuDWygEhhslA0sxkTnb/m6CqQfzwgw1362ZCuzbt+HXdLzwxMA7X/jFwrx0k\nZ29gbneGxXMWkS9fviypRUREREQeDwowxCGioqLw9zfxoH55ajYbMx1guJs9HHqExMkJ/Cua2bbN\nugQgNPQZhzTyBDAYoFa3WCZMGWv1WKPRSM+ufYicYvt1Me55oerwBDr1aI8tbXQMBgPTP/+S6LGu\nxJ+yrQZTAQhYHM9rHVty6NAh2yb5R8GCBVm5aBVXOphJsmNTgktxyLspniGfvMv4z8fbVdOtTCYT\nPy7/kcrxlXBr4Ywlyc4Qw2CALgbiVyTRrHMzhgwfYvdxnLsJCgpi/469VIwshnvdU3DujmNfqRbc\n28XQrV1nateu7fD1RUREROTxogBDHCIqKooAfwemBBkwmTIfYJjNng7dgQHgGxrL1vDfrBpTLbS2\nw/pgAFRrDb/8bzMnT560emzHDq9zcJWF6+dsXz/oDQsx8Yf4+puvbRrv4+NDj65vcaif7UFKnipQ\nbHgc9V95ntjYWJvnAahatSqj3/+IK409SLWjPYRL0bSdGB9MGMrYT6wPmO7Fzc2NNUvXUOVGKG7N\n7A8xAAxVjCTuSOHTnz6jzit1uHLligMqvV3evHn535qNdKnUJq0vxo5//8d1/ug8JS4XYPQHHzp8\nXRERERF5/CjAyEbOnDlDixYt8PHxoUKFCrz44oscOnQIs9lMUFAQvr6+dO3aFYvFQnR0NEajkSFD\nhqSPP3/+PC4uLvTs2fOB1x4ZuQV/fxsbGtjAZDJYF2AkOHZ9/9AUtoRb14UyNDSUw+G2HZm4G5Mn\nVHsNpk6fZPXYvHnz8vIrLxM5y/YfAUYnqD35On0Hvm3zG98hg4YSH+7JuY02l8HTnVMxhMbQumNL\nm3aD3KpH1x7UC2nAlTfMNvcIAXApAnk3xTFyygeMHjfarppu5ebmxuolq6lmqIqpqQuWRAeEGAUM\nJKy/wW9FtuJb0Zd9+xx0zukWTk5OjB/9MXPHz8Kj/ikMsy/C+qt4TLjG6sXf4+Li4vA1RUREROTx\nowAjm7BYLDRq1IiwsDAOHz7Mjh07GDNmDDExMfj4+BAREUFUVBT79+9nxYoVGAwGihUrxurV/x7a\nX7x4MX5+fg+lCV5UVMQDa+AJYDZnPsBwN3s5fAeGf2XY8fseq7bd+/n5ce5kItdtu7zjrsK6JvLF\nl9NISrI+POrVvR+R08ykpti+vndlKPZCAu8NG2TTeHd3d6Z8Oj2toWfmLpX5D4MBykxOYNuxDXz0\n8RjbJkmfy8CsKbPJf6gI1z61L2xyeSotxBjzxUhGjhlh11y3cnV15ftvv6e6SzVMTVywJDggxHA1\nkDwxlTPvnaNSzcp8u/hbB1T6X02aNOH3/22j8JgUXF4+zrJ5S/C2sXGOk5MTQUFBBAQE0Lhx4/Qd\nONHR0fj/88No06ZN5MyZk+DgYMqUKUONGjWyrOeHiIiIiGQ9BRjZxMaNG3F1daVTp07pr/n7+9/2\nL/dOTk4888wz6TcHuLu7U7ZsWXbu3AnAt99+S7Nmzez+LbS1bty4wcGDJylX7sGtaTZjVQ+MxHjH\nhjp58kOuvE4cOHAg02OcnZ0pH1KOI787ro7CZaFwuVSWLl1q9dgKFSpQMP9THF5jXw3Pjk7g63lf\nsWfPHpvGv/LKK5R7KojoCbb/OHIyQcDSOEZ/MoKff7bxftZ/mM1m1ixdS+I4D+Ls2BkC4OKdFmKM\nmz2GD0YNs2+yW+d1ceG7hd9Ry70mpkaOCTEADG2NJK67Qbu32zH7K+uv6c2McuXKsff3KH5e/RNh\nYWE2z+Pu7p4e7ObIkYPp06ff9blnn32WXbt2ceDAASZMmECPHj3YsMG6a5BFREREJHtQgJFN7N27\nl5CQkPs+ExcXx/r16wkICEgPKVq0aMHChQs5deoUTk5OFCpU6EGUe5sDBw5QpIgZd8e1d8iQ2Wyx\n4giJmcR426/IvJeAUAgPD7dqTNXQ2hwOd+xfu1rdY5kw5SObxvbuNpCoKZ52re+RH6oOS6BTjw42\nN/ScMWEmx0a7Ef+37XW4Pw1+8+Np9loTjh8/bvtEQJEiRVg6bzmXW5m5ccKuqXAulBZifPrNOIYM\nH5LxgExycXFh+fzl1M4ZhullFyzxDgouU8DphhMVK1R0zHx3kTNnTp599lmHzVelShWOHDmS4XOB\ngYEMHTqUSZOsP3YlIiIiIg+fAoxs4n7HPo4cOUJQUBDVqlWjQYMG1K1bN/1zdevW5aeffmLhwoU0\nb978QZT6H1FRUfj5PdhdHyZT5gMMk8lEUhYEGL6hsWzdtsmqMc+EViM63L7A4E4hL8GRY4eIioqy\nemzz5s35eztczPi9330Fd7bw97UDLFiwwKbxpUqVokunbhzub3tDT4D8tcC7/3VeaFw3098f9xIW\nFsZ7fYdypYkHqXb2UHEuCHk2xjFx4ScMHjbYYbuknJ2dWfrNUurkex7TSy5Y4uyb1xJjwa2xM3On\nz8XPz88hNWa1lJQU1q1bl+l6g4KCrNo5JSIiIiLZhwKMbMLX1zf9KMidSpQoQUREBLt27WLo0KG3\nfc7FxYWQkBA++eQTXn311Qd+fARg9+6dBATYcW2DDcxmCwkJmXtXmbYDw/Hf6mk7MDZbNaZy5cr8\nuS3RrgaRd3J2gZqdEpk45ROrx5rNZjq078juafY1UbzZ0LNX/x5cvXrVpjmGDf6A2M3unP+fXaVQ\nrE8K8aVO8HpX2654vdXAvgOpXrwWV7ub7P4zcy6QFmJMXvIZ774/yKEhxuK5i6lXoC6mhi5Yrts2\nryXBgqmJCz3b96Rx48YOqS0rxcfHExQURMGCBTl58iRdunTJ1LiH8TNSRERERBxDAUY2ERYWRmJi\nIl988UX6a1FRUZm6IrNv37589NFH5MqVKytLvKeoqK34P+AdGGZTipVHSBz/rV46EI4c/otr165l\nekzBggXx8PTkzGHH1lLzjRS+XfStTbeBdO/yFlFfOXHDzkanT1WBInUSGDp8sE3jPTw8mPzJNP60\no6EnpDX1LPdlPD/v+oFJUybaPhFpO6PmzVxAjt8LEjvd/u8h5ychz4Y4pq6YyID3BjjszbSTkxOL\nvlrEC971MTWwPsSwpFpw6+BMjYLP8uGwR+NKU7PZTEREBMePH8dkMrFy5cpMjYuIiKDcg2zYIyIi\nIiIOowAjG1m+fDk///wzPj4++Pn5MXjwYAoWLHjP4yU3Xy9Xrhxt2rRJf+1B30KyZ88fBAQ80CUx\nm60LMBIc3MQTwMUVypZ3Z8eOHVaNqxxaicPWtc7IUJ5C4P+8kblfz7V6bIkSJahYsSL7FtlfR42P\n4pk9Zyb79++3aXyTJk0oXSCA45Pt+9Hk7AGBy68z+IN3+O233+yay9PTkzXLfuT6UHfit9o1VVpt\nT0DeDXF88f0U+g7q69AQY8GsBTQs2gDTCy5YYjM/r/MQIz7HS7Bk7hKMxkfr/xbMZjMTJkxg8OCM\nj+ZERUUxcuRIunfv/oCqExERERFHerT+TfUxV7BgQRYtWsThw4fZu3cvq1atwsfH5669DYoWLXrX\n19u1a8eECRMeRLlA2g0k164l8cKLXjRv4cXwEQYWfQvbtkFMDA49KnErN1OylTswsibU8QuNY2u4\nde9qq4c+z9FwN4fXEtb9OhOnjLPpDXGvbgPYM8XL7ho8noCqQxPp3LOjzQ09v5g4i6Oj3Eg4Y2ct\nJcD3q3headaQv/+2ozsoULJkSebPWsDlZu4k21kXgFO+tBBj9o/T6TXgbYeGGPNmzuOVki9jqu+C\n5Vom5p1hIe+3uVn/3XrMZvt6kDxItwa15cuXx8fHh2+//ZaUlBTc3P79+7V58+b0a1R79OjBxIkT\nqVWr1sMoWURERETspABD7OLi4sKFC5dZtmwrzZt/gcXyDitX1qVP31IEBXuSK7czAYFevPRyTnr2\nNDHuY5gzB374AX7/HY4cgQsXIDnZunXN5lTi4uIy+ayZRDuPR9yLX+UbbAn/yaoxoaGhWRJglH0W\nbhgusWnTJqvH1q9fn8SzJv7abn8dIV1TiT6/l8WLF9s0vkyZMnTq2JnDA+x/M/3kC/Bkl2s0fPUF\nkpKS7JqrQYMGvP1Gb6686oHFvqkAcMoLedbHMXfDTHr27eGwEMNoNDJ3xlyalGuMqZ4Llqv3njd1\nRQqew8z8svYX8uXL55D1H5Q7e6189913NG/enL179+Lj4wNAzZo1uXz5cvo1qr/88gsvvvjiwyhX\nRERERBzAYFFHM8lCsbGxREdHEx0dzbFjx4iOPsz586c4e/YMFy6c5/z5S1y+fJ2rVxNwd3fGbHbC\nxcWAs7MBF5e0f5yc0v7TaIQbNywkJVk4ezaRLl36MGrU6Axr2L59Ox27Ps+8Hdb3h8jI6RPQpqIX\nMWeuZProTkJCAnny5mDquRu4Ofjq2XWTDVzaVI/li1dbPXb0Rx+y7MBIXphtf9pzfDOsbZWHw38c\nx9PT+ltXYmNjKV62CKUXXCRvNftqsaRCZCN3nvduwReTZ9o1V2pqKnVfqUNU0V/JOSHRvsL+kXIJ\nLtZxp2XVtkz+dIrDjoClpqbyRo83+DZiMQlrb2DIefu8ls2pmJq48L81/8vwCudHxdChQ/nuu++Y\nM2cOgYGBD7scEREREXEwBRiSLaSmpnLt2jXi4+NJTk7mxo0b6f/c/Dg1NRVXV1dcXV1xc3PD29v7\ntq3i97J3714aN6/Kkn223Y5xPxYL1CnsTvhveylWrFimxwVXLsNLHx+kTHXH1hN3FXoXNbF/z2EK\nFy5s1dhz585RrORTdD2SiHte+2v5vo2ZsMJdGDfG+ttRABYtWsRbo1+n8o7rGO28BffGFdhWyZ2x\ngybSsX1Hu+a6cuUKfhV9SR7yN15tHPPjM+UyXKrrTtNKrZk+YbrDQgyLxUKnnp1YsH0hCT/ewJAr\nbV7LrlTc6juz4psVPP/88w5ZS0REREQkq+kIiWQLRqORnDlzUqBAAby9vSlWrBilSpXC19eXwMBA\nKlSoQKVKlShfvjzlypWjRIkSmQov4GYTz9QsqdtggMBQJ8LDrevK+UxoTQ45uJEngHsOqNLCwvQv\nplo9Nn/+/DRo+CJRXznmx0KNsfF8MXMaBw8etGl8s2bN8Mnrx4lp9tfjkhMClsfRq38Pq5uu3il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"text": [ "" ] } ], "prompt_number": 26 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.figure(figsize=(18,10))\n", "for counter in range(len(results)):\n", " x = results[\"Total Votes\"][counter]\n", " y = results[\"Seats\"][counter]\n", " label = \"%s\\n%s\" % (results.index[counter], y)\n", " plt.scatter(x,y, c = colors[counter],\n", " s=y/x * 1e9, label =results.index[counter])\n", " plt.annotate(label, \n", " xy = (x, y), xytext = (-20, 20),\n", " textcoords = 'offset points', ha = 'right', va = 'bottom',\n", " bbox = dict(boxstyle = 'round,pad=0.5', fc = 'yellow', alpha = 0.5),\n", " arrowprops = dict(arrowstyle = '->', connectionstyle = 'arc3,rad=0'))\n", "\n", "plt.xscale(\"log\")\n", "plt.yscale(\"log\")\n", "plt.xlim(results[\"Total Votes\"].min()*0.95, results[\"Total Votes\"].max()*1.05)\n", "plt.ylim(0)\n", "\n", "plt.xlabel(\"Total Votes (log)\")\n", "plt.ylabel(\"Seats (log)\")\n", "\n", "plt.title(\"Indian General Elections 2014 Seats vs Total Votes on a log scale\")\n", "\n", "plt.grid()\n", "\n", "plt.show();" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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qVX0VHh6gf//7OtcdDFCJhYeHq1+/e5WbO1jHjh1T3mV2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uvcT27WkY7dTM/WcQarUa30aNaDzKTO8HtFy5cgVfXxOK4kxWdjYK4OzkBIo9GRmXuZKaiqeH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\nS7zQug2dUyz4PLcWDuhX7MpHwxwu8yUpbOU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"text": [ "" ] } ], "prompt_number": 27 }, { "cell_type": "code", "collapsed": false, "input": [ "print results" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ " Seats Seats Percentage Total Votes Average Votes \\\n", "BJP 282 0.519337 171657549 401069.039720 \n", "INC 44 0.081031 106938242 230470.349138 \n", "ADMK 37 0.068140 18115825 452895.625000 \n", "AITC 34 0.062615 21259681 162287.641221 \n", "BJD 20 0.036832 9491497 451976.047619 \n", "SHS 18 0.033149 10262982 176947.965517 \n", "TDP 16 0.029466 14094545 469818.166667 \n", "TRS 11 0.020258 6736490 396264.117647 \n", "CPM 9 0.016575 17986773 193406.161290 \n", "YSRCP 9 0.016575 13991280 368191.578947 \n", "LJP 6 0.011050 2295929 327989.857143 \n", "NCP 6 0.011050 8635554 239876.500000 \n", "SP 5 0.009208 18672916 94786.375635 \n", "AAAP 4 0.007366 11325635 26216.747685 \n", "RJD 4 0.007366 7442313 248077.100000 \n", "SAD 4 0.007366 3636148 363614.800000 \n", "AIUDF 3 0.005525 2333040 129613.333333 \n", "IND 3 0.005525 16743719 5175.801855 \n", "BLSP 3 0.005525 1078473 269618.250000 \n", "JKPDP 3 0.005525 732644 146528.800000 \n", "INLD 2 0.003683 2799899 279989.900000 \n", "JMM 2 0.003683 1637990 77999.523810 \n", "IUML 2 0.003683 1100096 44003.840000 \n", "JD(U) 2 0.003683 5992196 64432.215054 \n", "AD 2 0.003683 821820 117402.857143 \n", "JD(S) 2 0.003683 3731481 109749.441176 \n", "RSP 1 0.001842 1666380 277730.000000 \n", "KEC(M) 1 0.001842 424194 424194.000000 \n", "CPI 1 0.001842 4327298 64586.537313 \n", "SDF 1 0.001842 163698 163698.000000 \n", "AINRC 1 0.001842 255826 255826.000000 \n", "SWP 1 0.001842 1105073 552536.500000 \n", "NPEP 1 0.001842 576444 82349.142857 \n", "AIMIM 1 0.001842 685729 137145.800000 \n", "NPF 1 0.001842 994505 497252.500000 \n", "PMK 1 0.001842 1827566 203062.888889 \n", "\n", " Total Winning Votes Average Winning Votes \\\n", "BJP 139553310 494869 \n", "INC 18219598 414081 \n", "ADMK 17415881 470699 \n", "AITC 18366652 540195 \n", "BJD 9169818 458490 \n", "SHS 9010919 500606 \n", "TDP 9362168 585135 \n", "TRS 5307344 482485 \n", "CPM 4069667 452185 \n", "YSRCP 4950808 550089 \n", "LJP 1983574 330595 \n", "NCP 2594704 432450 \n", "SP 2458349 491669 \n", "AAAP 1716952 429238 \n", "RJD 1429688 357422 \n", "SAD 1817385 454346 \n", "AIUDF 1350137 450045 \n", "IND 1374887 458295 \n", "BLSP 1072804 357601 \n", "JKPDP 533629 177876 \n", "INLD 1000848 500424 \n", "JMM 715322 357661 \n", "IUML 816226 408113 \n", "JD(U) 740808 370404 \n", "AD 812325 406162 \n", "JD(S) 1034211 517105 \n", "RSP 408528 408528 \n", "KEC(M) 424194 424194 \n", "CPI 389209 389209 \n", "SDF 163698 163698 \n", "AINRC 255826 255826 \n", "SWP 640428 640428 \n", "NPEP 239301 239301 \n", "AIMIM 513868 513868 \n", "NPF 713372 713372 \n", "PMK 468194 468194 \n", "\n", " Average Winning Percentage Average Winning Electors Loosing Votes \\\n", "BJP 0.493188 1606886 32104239 \n", "INC 0.428075 1384055 88718644 \n", "ADMK 0.451634 1413200 699944 \n", "AITC 0.431486 1512020 2893029 \n", "BJD 0.449398 1389275 321679 \n", "SHS 0.510340 1676883 1252063 \n", "TDP 0.493163 1554833 4732377 \n", "TRS 0.430386 1532891 1429146 \n", "CPM 0.455675 1264327 13917106 \n", "YSRCP 0.478040 1495688 9040472 \n", "LJP 0.375127 1579884 312355 \n", "NCP 0.483694 1419258 6040850 \n", "SP 0.471728 1714211 16214567 \n", "AAAP 0.401053 1464262 9608683 \n", "RJD 0.367278 1636930 6012625 \n", "SAD 0.411916 1543844 1818763 \n", "AIUDF 0.389700 1382908 982903 \n", "IND 0.463283 1271567 15368832 \n", "BLSP 0.427755 1522716 5669 \n", "JKPDP 0.472012 1232333 199015 \n", "INLD 0.411830 1589081 1799051 \n", "JMM 0.385344 1300163 922668 \n", "IUML 0.473571 1189616 283870 \n", "JD(U) 0.380420 1767467 5251388 \n", "AD 0.426682 1718643 9495 \n", "JD(S) 0.442053 1615299 2697270 \n", "RSP 0.464735 1219415 1257852 \n", "KEC(M) 0.510072 1161463 0 \n", "CPI 0.422821 1275288 3938089 \n", "SDF 0.529824 370611 0 \n", "AINRC 0.345703 901357 0 \n", "SWP 0.538686 1630598 464645 \n", "NPEP 0.522410 586501 337143 \n", "AIMIM 0.528986 1823664 171861 \n", "NPF 0.647102 1752741 281133 \n", "PMK 0.425111 1358273 1359372 \n", "\n", " Winning Votes Ratio \n", "BJP 0.812975 \n", "INC 0.170375 \n", "ADMK 0.961363 \n", "AITC 0.863919 \n", "BJD 0.966109 \n", "SHS 0.878002 \n", "TDP 0.664241 \n", "TRS 0.787850 \n", "CPM 0.226259 \n", "YSRCP 0.353850 \n", "LJP 0.863953 \n", "NCP 0.300468 \n", "SP 0.131653 \n", "AAAP 0.151599 \n", "RJD 0.192103 \n", "SAD 0.499811 \n", "AIUDF 0.578703 \n", "IND 0.082114 \n", "BLSP 0.994743 \n", "JKPDP 0.728361 \n", "INLD 0.357459 \n", "JMM 0.436707 \n", "IUML 0.741959 \n", "JD(U) 0.123629 \n", "AD 0.988446 \n", "JD(S) 0.277158 \n", "RSP 0.245159 \n", "KEC(M) 1.000000 \n", "CPI 0.089943 \n", "SDF 1.000000 \n", "AINRC 1.000000 \n", "SWP 0.579535 \n", "NPEP 0.415133 \n", "AIMIM 0.749375 \n", "NPF 0.717314 \n", "PMK 0.256184 \n", "\n", "[36 rows x 10 columns]\n" ] } ], "prompt_number": 28 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 28 } ], "metadata": {} } ] }