MNC_Day3.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.7"
    },
    "colab": {
      "name": "MNC_Day3.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "CzLdzppGkUaA",
        "eggWlLu0mhv-"
      ],
      "toc_visible": true
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "haXfnvS8tcui",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "PROVIDE_OWN_INPUT = False"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JqYQq3SVPojs",
        "colab_type": "code",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 109
        },
        "outputId": "5c1c7ad6-cec8-4d90-9f60-f9e2d2c0daf1"
      },
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-ec4d4590-3732-4740-acc0-cef2cb419ff9\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-ec4d4590-3732-4740-acc0-cef2cb419ff9\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving dataset3.csv to dataset3.csv\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'dataset3.csv': b'Company Name,Net Sales,PBIDTM (%),PATM (%),ROE (%),ROCE (%),Asset Turnover(x),Total Debt/Equity(x),Cons OCF,Cons PAT,OCF/PAT,FR_Dividend Pay Out Ratio(%),Free Float,Ev/EBITDA,M/Sales\\r\\n3I Infotech Ltd.,1681.02,32.07,-39.82,-70.15,-1.18,0.83,5.61,-154.46,-360.03,0.43,0,64.5,4.92,0.24\\r\\n3M India Ltd.,1405.1,17.29,8.81,22.66,32.52,3.54,0.25,20.89,64.77,0.32,0,12.95,29.25,3.61\\r\\nAavas Financiers Ltd.,0.29,55.55,2.74,0.03,0.6,0.02,0,-0.64,0,-160.45,0,#N/A,0,0\\r\\nABB India Ltd.,7451.79,10.57,4.96,14.58,24.79,2.37,0,120,184.71,0.65,34.43,13.15,41.88,2.25\\r\\nAbbott India Ltd.,1490.21,25.88,15.96,56.69,84.84,3.22,0,24.07,120.39,0.2,30,21.68,17.6,2.5\\r\\nAccelya Solutions India Ltd.,437.52,114.21,65.54,102.75,147.45,4.88,0.02,88.43,81.57,1.08,86,18.34,2.56,0.84\\r\\nAegis Logistics Ltd.,4463.83,4.5,1,15.71,11.84,5.09,14.47,-147.17,19.68,-7.48,33.94,20.7,14.44,0.26\\r\\nAGC Networks Ltd.,994.6,22.65,12.73,43.4,53.11,2.92,0.8,-46.2,63.5,-0.73,33.54,20.56,3.44,0.3\\r\\nAgro Tech Foods Ltd.,704.54,16.07,10.29,37.54,52.74,5.19,0,27.7,36.28,0.76,11.76,21.45,26.44,1.33\\r\\nAkzo Nobel India Ltd.,1987.8,26.54,18.67,32.05,39.58,2.31,0,137.1,201.8,0.68,36.47,17.77,15.54,3.53\\r\\nAllsec Technologies Ltd.,183.14,4.84,-16.08,-27.43,-17.57,2.58,0.04,-10.52,-16.98,0.62,0,20.72,2.15,0.16\\r\\nAmbuja Cements Ltd.,8519.01,46.46,25.45,31.97,45.61,1.76,0.02,1531.78,1227.74,1.25,39.99,33.76,9.93,2.97\\r\\nAndhra Paper Ltd.,595.23,23.35,-31.05,-36.95,5.03,1.02,1.99,69.55,-97.81,-0.71,0,19.81,9.23,1.3\\r\\nAsahi India Glass Ltd.,1666.5,19.88,-7.17,-75.4,6.13,1.75,22.75,177.99,-65.12,-2.73,0,31.68,10.38,0.71\\r\\nAsian Hotels (East) Ltd.,85.41,100.18,65.45,7.14,9.17,0.21,0,21,27.96,0.75,18.41,19.14,7.66,4.13\\r\\nAsian Hotels (North) Ltd.,353.49,81.81,-52.89,-32.88,5.64,0.29,3.95,163.26,-27.11,-6.02,-10.77,15.27,11.1,1.13\\r\\nAsian Hotels (West) Ltd.,135.67,66.46,6.98,3.1,10.12,0.34,2.93,40.48,8.36,4.84,54.8,23.01,8.68,1.36\\r\\nAsian Oilfield Services Ltd.,45.34,-7.37,-39.89,-20.81,-21.33,0.77,0.49,-6.47,-9.04,0.72,0,19.22,5.18,1.07\\r\\nAstrazeneca Pharma India Ltd.,530.82,13.45,7.27,21.43,31.71,3.46,0,38.73,19.77,1.96,44.27,10,31.26,6.68\\r\\nBanco Products (India) Ltd.,1018.86,24.74,14.39,39.49,42.16,3.15,0.69,108.65,76.53,1.42,23.36,21.21,5.1,0.55\\r\\nBASF India Ltd.,3515.94,11.5,5.39,20,27.9,3.75,0.37,181.62,100.86,1.8,17.17,17.96,13.87,1.64\\r\\nBata India Ltd.,1549.05,51.42,32.94,114.92,148.51,3.53,0,31.36,258.86,0.12,14.9,31.11,18.28,2.92\\r\\nBayer CropScience Ltd.,2272.3,25.23,11.77,37.93,52.37,1.75,0,106.7,139,0.77,11.94,18.69,11.76,1.51\\r\\nBilcare Ltd.,3641.79,26.58,7.69,24.04,28.7,2.11,2.13,92.44,136.56,0.68,3.45,29.89,4.04,0.26\\r\\nBlack Rose Industries  Ltd.,93.41,7.19,0.41,3.21,14.33,3.32,3.51,4.66,0.19,24.15,0,19.16,6.5,0.32\\r\\nBlue Dart Express Ltd.,1495.38,26.96,16.42,40.63,59.5,3.24,0,107.03,124.19,0.86,3.82,7.04,21.65,3.02\\r\\nBosch Ltd.,8165.8,41.79,25.6,50.88,66.93,2.51,0.13,444.6,1122.7,0.4,37.76,18.48,12.57,2.89\\r\\nCairn India Ltd. (Amalgamated),11860.65,171.87,133.85,35.89,37.42,0.47,0.05,7068.95,7937.74,0.89,0,14.55,5.7,5.01\\r\\nCapital First Ltd. - (Amalgamated),740.15,149.91,28.6,28.22,25.64,0.32,10.75,-1294.39,105.83,-12.23,9.14,23.43,8.75,1.87\\r\\nCastrol India Ltd.,2993.27,41.97,27.18,166.2,247.95,5.37,0,352.38,481.03,0.73,77.11,23.97,14.88,4.11\\r\\nClariant Chemicals (India) Ltd.,961.64,34.08,59.59,142.88,186.11,2.79,0,21.45,304.39,0.07,52.55,32.91,9.58,1.86\\r\\nCMI FPE Ltd.,351.8,12.13,5.9,14.86,24.31,1.75,0.05,-27.44,10.96,-2.5,22.52,19.73,8.03,1.34\\r\\nColgate-Palmolive (India) Ltd.,2693.23,44.86,31.83,217.94,287.92,3.61,0,402.84,446.47,0.9,76.15,35.41,23.31,6.5\\r\\nCreditAccess Grameen Ltd.,59.53,100.38,-9.75,-11.1,38.63,0.39,4.2,-79.18,-2.9,27.28,0,#N/A,0,0\\r\\nCRISIL Ltd.,806.96,75.65,51.16,101.64,135.6,2.51,0,260.39,206.42,1.26,37.33,16.57,19.04,7.82\\r\\nCSB Bank Ltd.,1075.63,17.39,4.82,10.04,11.24,0,2.18,246.99,25.9,9.54,21.25,#N/A,0,0\\r\\nCummins India Ltd.,4117.22,37.21,26.81,61.44,86.25,2.97,0,442.49,591.27,0.75,51.57,27.8,18.48,3.39\\r\\nDabur India Ltd.,5305.42,34.31,24.09,94.24,65.91,2.5,1.43,596.93,644.89,0.93,35.12,21.9,21.55,3.99\\r\\nDCB Bank Ltd.,716.97,23.38,15.36,16.13,15.72,0,2.8,-405.8,55.08,-7.37,0,40.91,22.37,1.64\\r\\nDe Nora India Ltd.,34.07,44.44,27.21,36.76,55.37,1.79,0,-0.67,4.78,-0.14,68.31,36.01,8.21,2.16\\r\\nDenso India Ltd.,1036.2,-3.51,-12.72,-83.37,-44,3.91,1.89,-76,-72.2,1.05,0,19.95,12.16,0.17\\r\\nDIC India Ltd.,676.99,13.8,7.13,20.76,31.18,3.77,0.17,12.94,26.45,0.49,13.88,23.26,5.25,0.47\\r\\nDisa India Ltd.,154.37,44.17,26.95,91.82,140.91,2.96,0.02,17.56,22.67,0.77,133.26,13.51,6.86,1.9\\r\\nDixon Technologies (India) Ltd.,567.66,2.34,-1.31,-10.16,2.68,4.48,3.22,4.98,-3.72,-1.34,0,#N/A,0,0\\r\\nD-Link (India) Ltd.,223.07,10.62,6.31,18.82,27.4,4.12,0,-4.69,7.04,-0.67,17.04,35.28,12.02,0.49\\r\\nElantas Beck India Ltd.,268.97,27.79,16.77,28.27,41.15,2.77,0,34.08,24.74,1.38,14.42,10.15,28.71,4.94\\r\\nEndurance Technologies Ltd.,3819.12,12.52,9.36,69.96,31.2,3.42,3.24,542.5,178.67,3.04,1.85,#N/A,0,0\\r\\nEnkei Wheels (India) Ltd.,279.21,9.42,-3.48,-555.15,-0.35,2.15,34.82,42.82,-5.33,-8.03,0,18.54,7.86,0.25\\r\\nEros International Media Ltd.,943.88,50.86,31.6,39.83,42.02,1.24,1.08,405.64,147.84,2.74,0,14.5,11.09,2.42\\r\\nEsab India Ltd.,544.58,28.27,16.09,47.14,71.15,4.02,0,40.13,47.44,0.85,48.66,20.36,8.08,1.44\\r\\nEssar Shipping Ltd.,2801.58,53.72,2.63,1.38,7.32,0.49,2.07,613.64,36.83,16.66,0,8.71,8.25,0.21\\r\\nEster Industries Ltd.,699.58,11.06,-3.75,-10.52,5.72,2.38,2.04,47.47,-13.93,-3.41,0,20.29,1.82,0.3\\r\\nExpleo Solutions Ltd.,121.44,36.92,18.74,31.28,51.36,2.56,0,4.52,11.38,0.4,44.17,23.34,0.89,0.48\\r\\nFederal-Mogul Goetze (India) Ltd.,1166.91,23.75,7.6,23.55,37.39,3.02,0.55,101.47,39.54,2.57,8.75,10.04,10.44,1.4\\r\\nFinolex Industries Ltd.,2099.78,21.29,6.47,23.44,22.36,2.16,3.15,154.54,75.15,2.06,49.54,40.58,6.76,0.41\\r\\nFoseco India Ltd.,232.91,32.86,19.79,70.12,91.41,3.81,0.25,12.01,25.28,0.48,45.47,13.52,8.86,1.64\\r\\nGE Power India Ltd.,2419.78,24.52,13.65,53.01,79.12,1.56,0,-127.74,167.96,-0.76,40.03,24.33,7.45,2.04\\r\\nGillette India Ltd.,2465.8,48.17,26.22,51.97,80.43,3.53,0,116.36,151.46,0.77,64.55,10.02,47.41,6.17\\r\\nGlaxosmithkline Consumer Healthcare Ltd.,2765,40.51,24.4,67.52,103.36,2.14,0,390.73,355.21,1.1,41.44,39.03,16.69,4.01\\r\\nGlaxosmithkline Pharmaceuticals Ltd.,2455.38,75.54,34.15,44.1,62.11,1.25,0.01,335.37,428.59,0.78,88.93,31.18,17.74,8.13\\r\\nGMM Pfaudler Ltd.,252.44,16.17,7.43,18.15,27.3,2.96,0,31.94,9.93,3.22,41.19,22.83,6.06,0.72\\r\\nGokaldas Exports Ltd.,1024.26,-10.5,-25.19,-88.92,-31.49,2.97,2.28,111.54,-132.38,-0.84,0,5.1,0,0.26\\r\\nGoodricke Group Ltd.,459.73,27.72,16.26,47.68,63.44,2.64,0.25,3.91,37.42,0.1,23.09,19.49,3.99,0.66\\r\\nGoodyear India Ltd.,1513.43,14.95,7.97,44.47,69.84,4.66,0,78.16,64.6,1.21,25,22.26,4.02,0.51\\r\\nGP Petroleums Ltd.,480.07,11.46,0.02,0.1,47.48,3.31,0,13.64,0.06,232.32,74.94,10.57,4.23,0.31\\r\\nGrindwell Norton Ltd.,906.32,35.51,21.13,48.19,67.76,2.84,0.08,118.68,102.95,1.15,34.95,24.21,8.55,1.67\\r\\nGujarat Gas Company Ltd. - (Amalgamation),2418.59,36.89,22.36,67.65,85.7,2.19,0,304.21,273.48,1.11,103.58,22.13,10.72,2.34\\r\\nGulf Oil Lubricants India Ltd.,0,0,0,6.78,6.77,0,0,0,0,0.53,0,#N/A,0,0\\r\\nHeidelberg Cement India Ltd.,987.96,13.71,5.15,7.45,7.89,1.33,1.94,52.07,29.17,1.79,0,14.66,9.31,0.92\\r\\nHella India Lighting Ltd.,58.92,-5.15,-9.61,-32.87,-20.36,2.88,0,-11.49,-3.16,3.63,0,18.15,66.85,1.27\\r\\nHexaware Technologies Ltd.,1450.51,46.23,36.82,53.95,62.34,2.17,0,141.34,267.03,0.53,43.94,24.12,8.16,1.87\\r\\nHindustan Unilever Ltd.,23436.33,30.55,22.85,176.38,225.94,4.59,0,2931.51,2790.66,1.05,58.09,40.62,24.93,3.76\\r\\nHindustan Zinc Ltd.,11405.31,126.23,91.63,44.73,56.33,0.88,0,4492.05,5526.04,0.81,18.35,5.54,6.75,5.07\\r\\nHonda Siel Power Products Ltd.,503.37,23.27,19.18,42.42,59.7,2.65,0,48.16,51.68,0.93,17.66,27.95,5.68,0.92\\r\\nHoneywell Automation India Ltd.,1613.04,19.73,13.1,36.83,50.38,2.98,0,-18.45,107.14,-0.17,8.25,17.18,12,1.43\\r\\nHuhtamaki PPL Ltd.,803.17,22.34,12.36,34.1,39.9,3.1,0.14,84.84,52.6,1.61,28.6,30.27,4.83,0.57\\r\\nIndian Hume Pipe Company Ltd.,546.7,15.82,5.7,14.79,24.16,1.52,1.35,24.15,15.92,1.52,30.42,25.35,7.51,0.48\\r\\nIndostar Capital Finance Ltd.,89.85,132.43,118.44,13.37,14.02,0.21,0.21,-810.8,53.21,-15.24,0,#N/A,0,0\\r\\nINEOS Styrolution India Ltd.,826.02,20.43,11.85,30.22,37.44,2.83,0.69,-14.91,53.97,-0.28,13.03,12.67,9.39,1.29\\r\\nInfinite Computer Solutions (India) Ltd.,1055.8,37.31,22.86,52.18,63.36,2.33,0.23,121.54,120.7,1.01,29.97,13.5,2.45,0.47\\r\\nIngersoll-Rand (India) Ltd.,592.02,40.79,26.22,20.27,30.3,0.9,0,-16.33,82.76,-0.2,91.54,22.3,8.35,2.79\\r\\nITC Ltd.,26525.43,54.19,34.21,70.75,103.04,2.62,0.01,6255.66,6258.14,1,56.22,36.98,18.65,6.9\\r\\nITD Cementation India Ltd.,1386.71,25.41,3.26,12.16,27.65,1.74,3.42,57.14,22.58,2.53,10.2,24.81,4.29,0.12\\r\\nJagatjit Industries Ltd.,1076.67,10.96,4.61,31.78,25.83,3.86,1.37,-13.13,35.64,-0.37,0,7.59,5.07,0.3\\r\\nJagran Prakashan Ltd.,1355.66,50.5,26.31,49.06,46.91,1.45,1.78,227.49,178.32,1.28,62.08,22.83,9.49,2.82\\r\\nJash Engineering Ltd.,76.12,44.32,15.25,41.48,48.44,1.89,1.93,17.63,6.25,2.82,15.76,#N/A,0,0\\r\\nJayant Agro-Organics Ltd.,1832.21,10.23,3.42,47.67,45.32,7.2,3.52,70.32,31.35,2.24,9.57,#N/A,5.55,0.11\\r\\nJet Airways (India) Ltd.,17190.47,3.92,-16.52,0,-6.93,1.68,-15.35,2293.18,-1420.13,-1.61,0,13.46,8.6,0.2\\r\\nJohnson Controls - Hitachi Air Conditioning India Ltd.,798.09,7.18,0.75,3.8,9.55,2.85,1.16,26.19,3.26,8.03,105.59,26.22,10.07,0.47\\r\\nKansai Nerolac Paints Ltd.,2600.57,23.95,14.3,43.63,57.15,3.83,0.14,102.26,215.89,0.47,27.46,11.77,26.36,3.34\\r\\nKennametal India Ltd.,1124.66,88.45,50.51,98.35,142.09,5.67,0,139.63,136.78,1.02,80.35,10.7,10.66,3.2\\r\\nKingfa Science & Technology (India) Ltd.,150.1,11,0.03,0.2,19.02,3.64,3.42,7.6,0.02,305.4,0,29.78,5.69,0.09\\r\\nKokuyo Camlin Ltd.,385.74,7.44,-0.05,-0.2,11.36,3.55,0.64,-26.5,-0.1,275.73,0,29.32,15.47,1.02\\r\\nLemon Tree Hotels Ltd.,121.3,61.32,-5.62,-1.52,7.02,0.32,1.19,29.94,-3.41,-8.78,0,#N/A,0,0\\r\\nLinde India Ltd.,1153.08,40.5,20.01,20.5,19.06,0.92,1.33,193.02,121.66,1.59,10.52,10.52,15.16,2.63\\r\\nMac Charles (India) Ltd.,50.77,67.94,59.49,13.78,19.03,0.41,0.04,13.67,15.1,0.91,52.05,22.19,6.13,2.98\\r\\nMahanagar Gas Ltd.,1309.03,72.36,42.98,62.1,90.7,2.02,0.02,427.96,307.74,1.39,43.55,#N/A,0,0\\r\\nMahindra CIE Automotive Ltd.,2440.25,17.09,4.12,12.5,13.19,2.57,1.4,246.35,51.17,4.81,0,7.5,6.78,0.3\\r\\nMaruti Suzuki India Ltd.,36089.9,16.83,8.16,21.8,27.71,3.8,0.18,2655.2,1681.2,1.58,12.89,26.05,7.46,0.9\\r\\nMonsanto India Ltd. - (Amalgamated),373.77,36.35,26.01,26.46,32.38,1.52,0,72.05,50.19,1.44,68.78,16.62,22.02,4.01\\r\\nMorganite Crucible (India) Ltd.,99.48,43.82,22.35,62.85,83.92,2.25,0.24,8.11,10.23,0.79,2.74,20,5.35,1.11\\r\\nMoschip Technologies Ltd.,15.39,-84.83,-430.31,-533.27,-282.01,1.1,0.54,-9.6,-13.01,0.74,0,70.23,0,0.78\\r\\nMphasis Ltd.,5097.96,45.69,32.24,45.74,53.58,2.09,0.15,779.66,821.82,0.95,16.61,16.57,6.6,1.58\\r\\nMPS Ltd.,191.01,27.79,11.38,31.61,41.28,3.32,0.15,6.8,10.87,0.63,61.9,23.72,4.97,0.43\\r\\nMultibase India Ltd.,39.7,18.02,10.2,18.8,28.89,2.72,0,2.19,2.2,1,0,21.83,6.42,1.06\\r\\nMusic Broadcast Ltd.,122.18,46.83,-3.55,0,6.12,1.29,-12.47,20.94,-2.17,-9.65,0,#N/A,0,0\\r\\nNestle India Ltd.,7514.55,40.18,24.98,180.63,179.73,4.42,1.52,1158.17,961.55,1.2,48.63,30.17,28.09,5.75\\r\\nNewgen Software Technologies Ltd.,139.02,36.07,20.11,35.56,51.7,2.45,0.17,-3.04,13.98,-0.22,12.84,#N/A,0,0\\r\\nNIIT Ltd.,1260.28,24.52,9.86,20.39,54.5,1.78,0.33,30.85,110.16,0.28,23.98,30.99,6.72,0.64\\r\\nNirlon Ltd.,137.83,125.58,-28.5,-51.69,11.24,0.17,11.26,86.85,-19.64,-4.42,0,34.29,8.4,2.44\\r\\nNovartis India Ltd.,844.29,53.83,35.9,39.98,59.22,1.01,0,74.72,152.02,0.49,21.02,22.38,10.32,3.17\\r\\nOracle Financial Services Software Ltd.,3146.68,97.44,57.79,31.03,48.35,0.84,0,771.41,909.27,0.85,0,18.4,10.94,5.8\\r\\nOrient Green Power Company Ltd.,250.45,74.48,-65.36,-13.38,2.36,0.17,2.26,162.22,-69.28,-2.34,0,15.44,10.42,3.67\\r\\nOrient Refractories Ltd.,300.42,32.83,19.2,164.3,218.86,8.79,0.42,32.07,30.81,1.04,38.99,38.17,0,0\\r\\nPage Industries Ltd.,696.55,41.04,23.86,124.3,120,4.25,0.92,122.59,89.99,1.36,45.86,13.9,20.66,4.45\\r\\nPanasonic Appliances India Company Ltd.,179.59,-5.75,-12.85,-193.71,-42.85,4.7,11.28,-6.38,-12.77,0.5,0,18.15,19.57,0.49\\r\\nPanasonic Carbon India Company Ltd.,22.12,58.95,32.98,13.97,20.8,0.62,0,-1.88,3.93,-0.48,85.47,22.35,1.55,3.13\\r\\nPfizer Ltd.,1093.29,51.05,32.55,29.92,45.31,1.57,0,24.46,184.61,0.13,20.21,29.25,14.21,4.92\\r\\nPhoenix Lamps Ltd. - (Amalgamated),451.84,19.13,2.45,9.94,19.47,2.65,2.39,-1.01,5.7,-0.18,0,23.71,16.15,0.46\\r\\nPolycab India Ltd.,3775.6,11.38,1.76,6.64,16.38,2.69,1.86,580.83,33.24,17.48,19.73,#N/A,0,0\\r\\nProcter & Gamble Health Ltd.,589.57,34.18,21,33.67,50.6,1.82,0,18.79,63.68,0.3,0,28.31,8.55,1.88\\r\\nProcter & Gamble Hygiene & Health Care Ltd.,2594.82,76.92,56.23,110.4,134.27,3.86,0,298.45,362.58,0.82,40.29,22.97,30.74,6.03\\r\\nPuravankara Ltd.,814.15,98.36,32.28,16.11,27.25,0.5,1.6,91.99,135.73,0.68,15.72,3.51,9.51,2.47\\r\\nQuess Corp Ltd.,637,9.23,2.54,51.44,53.68,5.96,2.13,4.86,6.01,0.81,0,#N/A,0,0\\r\\nR Systems International Ltd.,409.5,17.02,8.06,17.43,22.85,2.88,0.01,33.92,16.51,2.05,26.85,18.43,1.85,0.42\\r\\nRanbaxy Laboratories Ltd.- (Amalgamation),10328.99,33.79,-55.73,-136.7,-55.07,1.39,3.15,638.81,-2899.73,-0.22,0,26.55,14.93,2.32\\r\\nRhodia Specialty Chemicals India Ltd.,252.2,5.56,-4.11,-27.18,-0.35,3.7,2.6,7.2,-5.67,-1.27,0,16.49,0,0\\r\\nRicoh India Ltd.,431.52,5.01,-1.21,-4.09,3.77,2.74,1.85,-63.02,-2.61,24.15,0,25.14,11.19,0.41\\r\\nSaint-Gobain Sekurit India Ltd.,104.21,31.56,11.89,19.8,29.73,2.55,0.12,16.53,6.84,2.42,0,14.23,18.95,3.54\\r\\nSanofi India Ltd.,1301.34,47.44,28.74,36.31,54.02,1.83,0,205.02,191.18,1.07,39.75,11.48,14.87,4.2\\r\\nSaurashtra Cement Ltd.,439.98,19.16,-8.49,0,41.06,2.24,-6.62,27.19,-20.49,-1.33,0,15.13,9.65,0.21\\r\\nSchaeffler India Ltd.,1308.55,40.8,25.16,54.18,80.9,3.15,0,82.62,175.97,0.47,9.44,18.79,6.6,1.67\\r\\nSeamec Ltd.,181.77,30.59,-14.51,-5.99,-2.94,0.76,0,-44.61,-13.19,3.38,0,20.49,0,3.26\\r\\nShreyas Shipping & Logistics Ltd.,270.78,19.01,4.16,7.95,11.2,2.11,1.18,19.11,5.63,3.39,22.56,26.71,4.71,0.34\\r\\nSiemens Ltd.,12119.18,23.56,13.91,48.93,74.22,2.61,0,2.63,867.75,0,23.53,20.41,18.34,2.59\\r\\nSinger India Ltd.,311.86,23.69,22.1,470.27,307.95,18.49,0.17,7.76,20.43,0.38,0,17.72,23.24,0.56\\r\\nSKF India Ltd.,2434.88,27.27,16.13,44.84,67.51,3.7,0,151.56,208.49,0.73,18.97,25.26,9.2,1.44\\r\\nSobha Ltd.,1407.9,66.93,29.72,21.82,27.43,0.7,1.24,486.1,205.95,2.36,23.81,18.49,10.1,1.77\\r\\nSterlite Industries (India) Ltd.(Merged),41178.94,60.43,36,35.55,37.39,1.08,0.68,8399.76,4827.92,1.74,13.92,15.39,3.97,1.3\\r\\nSterlite Technologies Ltd.,2621.75,15.99,2.88,7.24,14.47,1.81,1.81,323.32,39.64,8.16,29.76,18.35,8.56,0.77\\r\\nStovec Industries Ltd.,60.17,25.9,14.57,25.52,37.37,2.03,0,2.41,4.74,0.51,30.15,27.95,4.33,1.04\\r\\nSumitomo Chemical India Ltd.,450.66,1.38,-4.75,-19.87,-10.37,3.31,0,74.99,-10.69,-7.01,0,#N/A,0,0\\r\\nTake Solutions Ltd.,703.66,45.54,26.76,63.16,54.81,2.12,1.13,115.47,85.58,1.35,14.02,20.01,4.29,0.69\\r\\nTCNS Clothing Co Ltd.,126.53,25.31,14.71,40.81,35.07,2.42,0.74,-18,9.3,-1.93,0,#N/A,0,0\\r\\nThomas Cook (India) Ltd.,391.82,63.99,28.71,30.85,38.42,0.92,1.16,153.28,56.24,2.73,14.14,21.64,9.45,2.93\\r\\nThyrocare Technologies Ltd.,109.08,99.34,64.07,82.21,94.7,1.84,0.49,36.56,34.94,1.05,0,#N/A,0,0\\r\\nTimex Group India Ltd.,183.51,9.93,4.87,29.55,19.08,2.28,0.24,-11.16,4.53,-2.46,0,25.07,25.62,1.79\\r\\nTimken India Ltd.,830.76,28.43,18.1,46.51,63.11,3.14,0.09,34.11,80.66,0.42,158.01,19.98,13.42,2.27\\r\\nUnited Spirits Ltd.,9244.36,14.97,2.05,8.76,20.69,2.55,3.71,756.1,187.92,4.02,17.4,35.15,12.48,1.47\\r\\nVardhman Acrylics Ltd.,390.14,22.28,11.63,20.53,29.27,2.54,0.06,27.54,24.49,1.12,0,40.51,0,0\\r\\nVedanta Ltd.,8978.04,82.47,46.54,30.19,43.62,1.01,0.49,2215.09,2695.5,0.82,12.9,28.83,3.88,2.2\\r\\nVesuvius India Ltd.,543.21,33.8,18.93,40.09,60.95,2.17,0,45.34,55.22,0.82,15.62,20.76,7.24,1.5\\r\\nVoith Paper Fabrics India Ltd.,54.43,65.18,38.61,22.91,33.42,1.05,0,14.31,11.53,1.24,11.43,24.52,3.06,1.93\\r\\nVST Industries Ltd.,684.43,29.38,17.78,104.22,154.06,4.84,0,150.69,142.51,1.06,70.43,25.44,13.92,3.43\\r\\nWabco India Ltd.,1045.64,40.58,26.83,67,94.43,3.86,0,155.41,153.4,1.01,6.18,20.93,10.59,2.52\\r\\nWhirlpool Of India Ltd.,2657.94,14.58,7.66,59.59,83.98,5.16,0,216.99,123.73,1.75,0,19.95,9.98,1.04\\r\\nWintac Ltd.,24.27,-0.81,-41.52,-54.28,-9.85,1.01,1.8,3.85,-5.38,-0.72,0,27.04,13.73,0.69\\r\\nWyeth Ltd.- (Amalgamated),588.53,69.95,47.8,66.78,94.47,2.13,0.01,76.44,144.69,0.53,28.26,30.78,9.98,4.22\\r\\nXchanging Solutions Ltd.,551.81,11.63,194.77,0,481.5,2.21,0.01,-104.62,537.37,-0.19,0,6.09,8.43,0.35\\r\\nZim Laboratories Ltd.,182.66,35.86,17.6,80.76,63.43,2.71,2.45,23.49,16.45,1.43,3.65,#N/A,0,0\\r\\n'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qeLkeLYRPW7N",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fYHGizAaPW7U",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = pd.read_csv('dataset3.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uVj7NWT2PW7Y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "8afc0571-227b-4b4f-9049-66f252ab1a70"
      },
      "source": [
        "data.head(20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Company Name</th>\n",
              "      <th>Net Sales</th>\n",
              "      <th>PBIDTM (%)</th>\n",
              "      <th>PATM (%)</th>\n",
              "      <th>ROE (%)</th>\n",
              "      <th>ROCE (%)</th>\n",
              "      <th>Asset Turnover(x)</th>\n",
              "      <th>Total Debt/Equity(x)</th>\n",
              "      <th>Cons OCF</th>\n",
              "      <th>Cons PAT</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>Ev/EBITDA</th>\n",
              "      <th>M/Sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3I Infotech Ltd.</td>\n",
              "      <td>1681.02</td>\n",
              "      <td>32.07</td>\n",
              "      <td>-39.82</td>\n",
              "      <td>-70.15</td>\n",
              "      <td>-1.18</td>\n",
              "      <td>0.83</td>\n",
              "      <td>5.61</td>\n",
              "      <td>-154.46</td>\n",
              "      <td>-360.03</td>\n",
              "      <td>0.43</td>\n",
              "      <td>0.00</td>\n",
              "      <td>64.50</td>\n",
              "      <td>4.92</td>\n",
              "      <td>0.24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3M India Ltd.</td>\n",
              "      <td>1405.10</td>\n",
              "      <td>17.29</td>\n",
              "      <td>8.81</td>\n",
              "      <td>22.66</td>\n",
              "      <td>32.52</td>\n",
              "      <td>3.54</td>\n",
              "      <td>0.25</td>\n",
              "      <td>20.89</td>\n",
              "      <td>64.77</td>\n",
              "      <td>0.32</td>\n",
              "      <td>0.00</td>\n",
              "      <td>12.95</td>\n",
              "      <td>29.25</td>\n",
              "      <td>3.61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Aavas Financiers Ltd.</td>\n",
              "      <td>0.29</td>\n",
              "      <td>55.55</td>\n",
              "      <td>2.74</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-0.64</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-160.45</td>\n",
              "      <td>0.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABB India Ltd.</td>\n",
              "      <td>7451.79</td>\n",
              "      <td>10.57</td>\n",
              "      <td>4.96</td>\n",
              "      <td>14.58</td>\n",
              "      <td>24.79</td>\n",
              "      <td>2.37</td>\n",
              "      <td>0.00</td>\n",
              "      <td>120.00</td>\n",
              "      <td>184.71</td>\n",
              "      <td>0.65</td>\n",
              "      <td>34.43</td>\n",
              "      <td>13.15</td>\n",
              "      <td>41.88</td>\n",
              "      <td>2.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Abbott India Ltd.</td>\n",
              "      <td>1490.21</td>\n",
              "      <td>25.88</td>\n",
              "      <td>15.96</td>\n",
              "      <td>56.69</td>\n",
              "      <td>84.84</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.00</td>\n",
              "      <td>24.07</td>\n",
              "      <td>120.39</td>\n",
              "      <td>0.20</td>\n",
              "      <td>30.00</td>\n",
              "      <td>21.68</td>\n",
              "      <td>17.60</td>\n",
              "      <td>2.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Accelya Solutions India Ltd.</td>\n",
              "      <td>437.52</td>\n",
              "      <td>114.21</td>\n",
              "      <td>65.54</td>\n",
              "      <td>102.75</td>\n",
              "      <td>147.45</td>\n",
              "      <td>4.88</td>\n",
              "      <td>0.02</td>\n",
              "      <td>88.43</td>\n",
              "      <td>81.57</td>\n",
              "      <td>1.08</td>\n",
              "      <td>86.00</td>\n",
              "      <td>18.34</td>\n",
              "      <td>2.56</td>\n",
              "      <td>0.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Aegis Logistics Ltd.</td>\n",
              "      <td>4463.83</td>\n",
              "      <td>4.50</td>\n",
              "      <td>1.00</td>\n",
              "      <td>15.71</td>\n",
              "      <td>11.84</td>\n",
              "      <td>5.09</td>\n",
              "      <td>14.47</td>\n",
              "      <td>-147.17</td>\n",
              "      <td>19.68</td>\n",
              "      <td>-7.48</td>\n",
              "      <td>33.94</td>\n",
              "      <td>20.70</td>\n",
              "      <td>14.44</td>\n",
              "      <td>0.26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>AGC Networks Ltd.</td>\n",
              "      <td>994.60</td>\n",
              "      <td>22.65</td>\n",
              "      <td>12.73</td>\n",
              "      <td>43.40</td>\n",
              "      <td>53.11</td>\n",
              "      <td>2.92</td>\n",
              "      <td>0.80</td>\n",
              "      <td>-46.20</td>\n",
              "      <td>63.50</td>\n",
              "      <td>-0.73</td>\n",
              "      <td>33.54</td>\n",
              "      <td>20.56</td>\n",
              "      <td>3.44</td>\n",
              "      <td>0.30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Agro Tech Foods Ltd.</td>\n",
              "      <td>704.54</td>\n",
              "      <td>16.07</td>\n",
              "      <td>10.29</td>\n",
              "      <td>37.54</td>\n",
              "      <td>52.74</td>\n",
              "      <td>5.19</td>\n",
              "      <td>0.00</td>\n",
              "      <td>27.70</td>\n",
              "      <td>36.28</td>\n",
              "      <td>0.76</td>\n",
              "      <td>11.76</td>\n",
              "      <td>21.45</td>\n",
              "      <td>26.44</td>\n",
              "      <td>1.33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Akzo Nobel India Ltd.</td>\n",
              "      <td>1987.80</td>\n",
              "      <td>26.54</td>\n",
              "      <td>18.67</td>\n",
              "      <td>32.05</td>\n",
              "      <td>39.58</td>\n",
              "      <td>2.31</td>\n",
              "      <td>0.00</td>\n",
              "      <td>137.10</td>\n",
              "      <td>201.80</td>\n",
              "      <td>0.68</td>\n",
              "      <td>36.47</td>\n",
              "      <td>17.77</td>\n",
              "      <td>15.54</td>\n",
              "      <td>3.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Allsec Technologies Ltd.</td>\n",
              "      <td>183.14</td>\n",
              "      <td>4.84</td>\n",
              "      <td>-16.08</td>\n",
              "      <td>-27.43</td>\n",
              "      <td>-17.57</td>\n",
              "      <td>2.58</td>\n",
              "      <td>0.04</td>\n",
              "      <td>-10.52</td>\n",
              "      <td>-16.98</td>\n",
              "      <td>0.62</td>\n",
              "      <td>0.00</td>\n",
              "      <td>20.72</td>\n",
              "      <td>2.15</td>\n",
              "      <td>0.16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Ambuja Cements Ltd.</td>\n",
              "      <td>8519.01</td>\n",
              "      <td>46.46</td>\n",
              "      <td>25.45</td>\n",
              "      <td>31.97</td>\n",
              "      <td>45.61</td>\n",
              "      <td>1.76</td>\n",
              "      <td>0.02</td>\n",
              "      <td>1531.78</td>\n",
              "      <td>1227.74</td>\n",
              "      <td>1.25</td>\n",
              "      <td>39.99</td>\n",
              "      <td>33.76</td>\n",
              "      <td>9.93</td>\n",
              "      <td>2.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Andhra Paper Ltd.</td>\n",
              "      <td>595.23</td>\n",
              "      <td>23.35</td>\n",
              "      <td>-31.05</td>\n",
              "      <td>-36.95</td>\n",
              "      <td>5.03</td>\n",
              "      <td>1.02</td>\n",
              "      <td>1.99</td>\n",
              "      <td>69.55</td>\n",
              "      <td>-97.81</td>\n",
              "      <td>-0.71</td>\n",
              "      <td>0.00</td>\n",
              "      <td>19.81</td>\n",
              "      <td>9.23</td>\n",
              "      <td>1.30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Asahi India Glass Ltd.</td>\n",
              "      <td>1666.50</td>\n",
              "      <td>19.88</td>\n",
              "      <td>-7.17</td>\n",
              "      <td>-75.40</td>\n",
              "      <td>6.13</td>\n",
              "      <td>1.75</td>\n",
              "      <td>22.75</td>\n",
              "      <td>177.99</td>\n",
              "      <td>-65.12</td>\n",
              "      <td>-2.73</td>\n",
              "      <td>0.00</td>\n",
              "      <td>31.68</td>\n",
              "      <td>10.38</td>\n",
              "      <td>0.71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Asian Hotels (East) Ltd.</td>\n",
              "      <td>85.41</td>\n",
              "      <td>100.18</td>\n",
              "      <td>65.45</td>\n",
              "      <td>7.14</td>\n",
              "      <td>9.17</td>\n",
              "      <td>0.21</td>\n",
              "      <td>0.00</td>\n",
              "      <td>21.00</td>\n",
              "      <td>27.96</td>\n",
              "      <td>0.75</td>\n",
              "      <td>18.41</td>\n",
              "      <td>19.14</td>\n",
              "      <td>7.66</td>\n",
              "      <td>4.13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Asian Hotels (North) Ltd.</td>\n",
              "      <td>353.49</td>\n",
              "      <td>81.81</td>\n",
              "      <td>-52.89</td>\n",
              "      <td>-32.88</td>\n",
              "      <td>5.64</td>\n",
              "      <td>0.29</td>\n",
              "      <td>3.95</td>\n",
              "      <td>163.26</td>\n",
              "      <td>-27.11</td>\n",
              "      <td>-6.02</td>\n",
              "      <td>-10.77</td>\n",
              "      <td>15.27</td>\n",
              "      <td>11.10</td>\n",
              "      <td>1.13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Asian Hotels (West) Ltd.</td>\n",
              "      <td>135.67</td>\n",
              "      <td>66.46</td>\n",
              "      <td>6.98</td>\n",
              "      <td>3.10</td>\n",
              "      <td>10.12</td>\n",
              "      <td>0.34</td>\n",
              "      <td>2.93</td>\n",
              "      <td>40.48</td>\n",
              "      <td>8.36</td>\n",
              "      <td>4.84</td>\n",
              "      <td>54.80</td>\n",
              "      <td>23.01</td>\n",
              "      <td>8.68</td>\n",
              "      <td>1.36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Asian Oilfield Services Ltd.</td>\n",
              "      <td>45.34</td>\n",
              "      <td>-7.37</td>\n",
              "      <td>-39.89</td>\n",
              "      <td>-20.81</td>\n",
              "      <td>-21.33</td>\n",
              "      <td>0.77</td>\n",
              "      <td>0.49</td>\n",
              "      <td>-6.47</td>\n",
              "      <td>-9.04</td>\n",
              "      <td>0.72</td>\n",
              "      <td>0.00</td>\n",
              "      <td>19.22</td>\n",
              "      <td>5.18</td>\n",
              "      <td>1.07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Astrazeneca Pharma India Ltd.</td>\n",
              "      <td>530.82</td>\n",
              "      <td>13.45</td>\n",
              "      <td>7.27</td>\n",
              "      <td>21.43</td>\n",
              "      <td>31.71</td>\n",
              "      <td>3.46</td>\n",
              "      <td>0.00</td>\n",
              "      <td>38.73</td>\n",
              "      <td>19.77</td>\n",
              "      <td>1.96</td>\n",
              "      <td>44.27</td>\n",
              "      <td>10.00</td>\n",
              "      <td>31.26</td>\n",
              "      <td>6.68</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Banco Products (India) Ltd.</td>\n",
              "      <td>1018.86</td>\n",
              "      <td>24.74</td>\n",
              "      <td>14.39</td>\n",
              "      <td>39.49</td>\n",
              "      <td>42.16</td>\n",
              "      <td>3.15</td>\n",
              "      <td>0.69</td>\n",
              "      <td>108.65</td>\n",
              "      <td>76.53</td>\n",
              "      <td>1.42</td>\n",
              "      <td>23.36</td>\n",
              "      <td>21.21</td>\n",
              "      <td>5.10</td>\n",
              "      <td>0.55</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     Company Name  Net Sales  ...  Ev/EBITDA  M/Sales\n",
              "0                3I Infotech Ltd.    1681.02  ...       4.92     0.24\n",
              "1                   3M India Ltd.    1405.10  ...      29.25     3.61\n",
              "2           Aavas Financiers Ltd.       0.29  ...       0.00     0.00\n",
              "3                  ABB India Ltd.    7451.79  ...      41.88     2.25\n",
              "4               Abbott India Ltd.    1490.21  ...      17.60     2.50\n",
              "5    Accelya Solutions India Ltd.     437.52  ...       2.56     0.84\n",
              "6            Aegis Logistics Ltd.    4463.83  ...      14.44     0.26\n",
              "7               AGC Networks Ltd.     994.60  ...       3.44     0.30\n",
              "8            Agro Tech Foods Ltd.     704.54  ...      26.44     1.33\n",
              "9           Akzo Nobel India Ltd.    1987.80  ...      15.54     3.53\n",
              "10       Allsec Technologies Ltd.     183.14  ...       2.15     0.16\n",
              "11            Ambuja Cements Ltd.    8519.01  ...       9.93     2.97\n",
              "12              Andhra Paper Ltd.     595.23  ...       9.23     1.30\n",
              "13         Asahi India Glass Ltd.    1666.50  ...      10.38     0.71\n",
              "14       Asian Hotels (East) Ltd.      85.41  ...       7.66     4.13\n",
              "15      Asian Hotels (North) Ltd.     353.49  ...      11.10     1.13\n",
              "16       Asian Hotels (West) Ltd.     135.67  ...       8.68     1.36\n",
              "17   Asian Oilfield Services Ltd.      45.34  ...       5.18     1.07\n",
              "18  Astrazeneca Pharma India Ltd.     530.82  ...      31.26     6.68\n",
              "19    Banco Products (India) Ltd.    1018.86  ...       5.10     0.55\n",
              "\n",
              "[20 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Qh4N7djPW7d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test = data.iloc[:,:]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bKApmFNkPW7h",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = data.replace( ' -   ', np.nan)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kHoY6-0T2Z9T",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "outputId": "ba728e92-95d6-40ee-8ff1-7bceb3d726f0"
      },
      "source": [
        "data.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Company Name                     object\n",
              "Net Sales                       float64\n",
              "PBIDTM (%)                      float64\n",
              "PATM (%)                        float64\n",
              "ROE (%)                         float64\n",
              "ROCE (%)                        float64\n",
              "Asset Turnover(x)               float64\n",
              "Total Debt/Equity(x)            float64\n",
              "Cons OCF                        float64\n",
              "Cons PAT                        float64\n",
              "OCF/PAT                         float64\n",
              "FR_Dividend Pay Out Ratio(%)    float64\n",
              "Free Float                      float64\n",
              "Ev/EBITDA                       float64\n",
              "M/Sales                         float64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9YSg1kfBPW7k",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#data.drop(labels='Company Name', axis=1, inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qLPgieKYPW7o",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data.iloc[:,1:] = data.iloc[:,1:].astype('float64')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6baN_MMKPW7s",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data.fillna(data.mean(), inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W_fAZTkN_hb1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "ed741df4-e49c-4c53-94d4-7c6374956e8c"
      },
      "source": [
        "len(data.columns)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "15"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vJfzFUelXRIQ",
        "colab_type": "text"
      },
      "source": [
        "# **Ev/EBITDA Prediction**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bBWjhlu7PW70",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data1 = data.iloc[:,:-1 ]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WQ6KM6YFPW73",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "outputId": "2e06c281-6c11-4b3d-bc9e-e4112109e411"
      },
      "source": [
        "data1.tail()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Company Name</th>\n",
              "      <th>Net Sales</th>\n",
              "      <th>PBIDTM (%)</th>\n",
              "      <th>PATM (%)</th>\n",
              "      <th>ROE (%)</th>\n",
              "      <th>ROCE (%)</th>\n",
              "      <th>Asset Turnover(x)</th>\n",
              "      <th>Total Debt/Equity(x)</th>\n",
              "      <th>Cons OCF</th>\n",
              "      <th>Cons PAT</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>Ev/EBITDA</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>Whirlpool Of India Ltd.</td>\n",
              "      <td>2657.94</td>\n",
              "      <td>14.58</td>\n",
              "      <td>7.66</td>\n",
              "      <td>59.59</td>\n",
              "      <td>83.98</td>\n",
              "      <td>5.16</td>\n",
              "      <td>0.00</td>\n",
              "      <td>216.99</td>\n",
              "      <td>123.73</td>\n",
              "      <td>1.75</td>\n",
              "      <td>0.00</td>\n",
              "      <td>19.950000</td>\n",
              "      <td>9.98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>Wintac Ltd.</td>\n",
              "      <td>24.27</td>\n",
              "      <td>-0.81</td>\n",
              "      <td>-41.52</td>\n",
              "      <td>-54.28</td>\n",
              "      <td>-9.85</td>\n",
              "      <td>1.01</td>\n",
              "      <td>1.80</td>\n",
              "      <td>3.85</td>\n",
              "      <td>-5.38</td>\n",
              "      <td>-0.72</td>\n",
              "      <td>0.00</td>\n",
              "      <td>27.040000</td>\n",
              "      <td>13.73</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>Wyeth Ltd.- (Amalgamated)</td>\n",
              "      <td>588.53</td>\n",
              "      <td>69.95</td>\n",
              "      <td>47.80</td>\n",
              "      <td>66.78</td>\n",
              "      <td>94.47</td>\n",
              "      <td>2.13</td>\n",
              "      <td>0.01</td>\n",
              "      <td>76.44</td>\n",
              "      <td>144.69</td>\n",
              "      <td>0.53</td>\n",
              "      <td>28.26</td>\n",
              "      <td>30.780000</td>\n",
              "      <td>9.98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>Xchanging Solutions Ltd.</td>\n",
              "      <td>551.81</td>\n",
              "      <td>11.63</td>\n",
              "      <td>194.77</td>\n",
              "      <td>0.00</td>\n",
              "      <td>481.50</td>\n",
              "      <td>2.21</td>\n",
              "      <td>0.01</td>\n",
              "      <td>-104.62</td>\n",
              "      <td>537.37</td>\n",
              "      <td>-0.19</td>\n",
              "      <td>0.00</td>\n",
              "      <td>6.090000</td>\n",
              "      <td>8.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>Zim Laboratories Ltd.</td>\n",
              "      <td>182.66</td>\n",
              "      <td>35.86</td>\n",
              "      <td>17.60</td>\n",
              "      <td>80.76</td>\n",
              "      <td>63.43</td>\n",
              "      <td>2.71</td>\n",
              "      <td>2.45</td>\n",
              "      <td>23.49</td>\n",
              "      <td>16.45</td>\n",
              "      <td>1.43</td>\n",
              "      <td>3.65</td>\n",
              "      <td>22.129929</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  Company Name  Net Sales  ...  Free Float  Ev/EBITDA\n",
              "155    Whirlpool Of India Ltd.    2657.94  ...   19.950000       9.98\n",
              "156                Wintac Ltd.      24.27  ...   27.040000      13.73\n",
              "157  Wyeth Ltd.- (Amalgamated)     588.53  ...   30.780000       9.98\n",
              "158   Xchanging Solutions Ltd.     551.81  ...    6.090000       8.43\n",
              "159      Zim Laboratories Ltd.     182.66  ...   22.129929       0.00\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-5qEKJb_PW7_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 998
        },
        "outputId": "ae097feb-febc-4cd6-b4cc-479c2dc75880"
      },
      "source": [
        "plt.figure(figsize=(16,16))\n",
        "cor = data1.corr()\n",
        "sns.heatmap(cor, annot=True, cmap='Greens')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1152 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VJtw-Zstb-bm",
        "colab_type": "text"
      },
      "source": [
        "## Selecting most important features:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NwpHXXlkPW8F",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "70d1ae48-b735-4b52-d168-f96a1a49c04e"
      },
      "source": [
        "cor_target = abs(cor[\"Ev/EBITDA\"])\n",
        "relevant_features = cor_target[cor_target>0.1]\n",
        "relevant_features.index"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['ROE (%)', 'ROCE (%)', 'Asset Turnover(x)',\n",
              "       'FR_Dividend Pay Out Ratio(%)', 'Free Float', 'Ev/EBITDA'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T66rR4ayPW8I",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X,y = data1[['ROE (%)', 'ROCE (%)', 'Asset Turnover(x)',\n",
        "       'FR_Dividend Pay Out Ratio(%)', 'Free Float']], data1['Ev/EBITDA']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WvL1kqO-PW8W",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "if PROVIDE_OWN_INPUT:\n",
        "    X_test =  pd.read_csv('test_data.csv')\n",
        "    X_train,y_train = X,y\n",
        "else:\n",
        "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2,random_state = 42)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dNS2oDutBoIr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.linear_model import LassoCV\n",
        "import xgboost as xgb\n",
        "from sklearn.linear_model import RidgeCV\n",
        "from sklearn.linear_model import BayesianRidge\n",
        "from sklearn.linear_model import ARDRegression\n",
        "from sklearn.linear_model import ElasticNetCV\n",
        "from sklearn.linear_model import LassoLarsCV\n",
        "from sklearn.svm import SVR\n",
        "l=[LassoCV(cv=5, random_state=0),\n",
        "    xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1, alpha = 10, n_estimators = 500),\n",
        "    RidgeCV(alphas=[1e-3, 1e-2, 1e-1, 1]),\n",
        "    BayesianRidge(compute_score=True),\n",
        "    ARDRegression(),\n",
        "    ElasticNetCV(cv=10, random_state=42),\n",
        "    LassoLarsCV(cv=5),\n",
        "    SVR(kernel='rbf', C=100, gamma=0.1, epsilon=.1)\n",
        "]\n",
        "reg_name = ['LassoCV', 'XGBRegressor', 'RidgeCV', 'BayesianRidge', 'ARDRegression',\n",
        "            'ElasticNetCV', 'LassoLarsCV', 'SVR']\n",
        "pred_list = []\n",
        "for i in l:\n",
        "    i.fit(X_train,y_train)\n",
        "    #print(i)\n",
        "    pred_list.append(i.predict(X_test))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CzLdzppGkUaA",
        "colab_type": "text"
      },
      "source": [
        "### Mean Squared Error\n",
        "> Lower the value of error, better the performance"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nfLjLXQ6CmL6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "0214927a-117d-45f1-b9b8-46f487fe1a68"
      },
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.10f}'.format(i,r, mean_squared_error(y_test.values, p),))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 38.7369570313\n",
            " 1 XGBRegressor            84.0348992040\n",
            " 2 RidgeCV                 30.3528794137\n",
            " 3 BayesianRidge           34.3719105083\n",
            " 4 ARDRegression           35.3496384152\n",
            " 5 ElasticNetCV            38.7369570313\n",
            " 6 LassoLarsCV             38.7369570313\n",
            " 7 SVR                     33.4761628120\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SPKbBcSQkkIb",
        "colab_type": "text"
      },
      "source": [
        "### R2 Score\n",
        "> Higher the score, better the model. A perfect model willl have the highest value(i.e 1)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XT0PwTMVMJFl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "82263fd7-ee10-4dcd-93a0-eac39a6040d8"
      },
      "source": [
        "from sklearn.metrics import r2_score\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.5f}'.format(i,r, r2_score(y_test.values, p)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 -0.09124\n",
            " 1 XGBRegressor            -1.36731\n",
            " 2 RidgeCV                 0.14494\n",
            " 3 BayesianRidge           0.03172\n",
            " 4 ARDRegression           0.00418\n",
            " 5 ElasticNetCV            -0.09124\n",
            " 6 LassoLarsCV             -0.09124\n",
            " 7 SVR                     0.05696\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HveRXF9Apinu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "515a51de-9cf0-4ef2-da66-f50dd5e75093"
      },
      "source": [
        "if PROVIDE_OWN_INPUT:\n",
        "    plt.plot(range(y_train.shape[0]),y_train,'.r')\n",
        "else:\n",
        "    plt.plot(range(y_test.shape[0]),y_test,'.r')\n",
        "plt.plot([i for i in range(len(pred_list[3]))], pred_list[2])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7efc6fd75da0>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JQFUM9oXV7hO",
        "colab_type": "text"
      },
      "source": [
        "# **M/Sales Prediction**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LhHK5BKsXNWA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data2 = data.iloc[:,: ].drop('Ev/EBITDA', axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0WqC2pY0ZuEh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "outputId": "7152d05d-ccbc-46bf-8ba5-b11327723a25"
      },
      "source": [
        "data2.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Company Name</th>\n",
              "      <th>Net Sales</th>\n",
              "      <th>PBIDTM (%)</th>\n",
              "      <th>PATM (%)</th>\n",
              "      <th>ROE (%)</th>\n",
              "      <th>ROCE (%)</th>\n",
              "      <th>Asset Turnover(x)</th>\n",
              "      <th>Total Debt/Equity(x)</th>\n",
              "      <th>Cons OCF</th>\n",
              "      <th>Cons PAT</th>\n",
              "      <th>OCF/PAT</th>\n",
              "      <th>FR_Dividend Pay Out Ratio(%)</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>M/Sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3I Infotech Ltd.</td>\n",
              "      <td>1681.02</td>\n",
              "      <td>32.07</td>\n",
              "      <td>-39.82</td>\n",
              "      <td>-70.15</td>\n",
              "      <td>-1.18</td>\n",
              "      <td>0.83</td>\n",
              "      <td>5.61</td>\n",
              "      <td>-154.46</td>\n",
              "      <td>-360.03</td>\n",
              "      <td>0.43</td>\n",
              "      <td>0.00</td>\n",
              "      <td>64.500000</td>\n",
              "      <td>0.24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3M India Ltd.</td>\n",
              "      <td>1405.10</td>\n",
              "      <td>17.29</td>\n",
              "      <td>8.81</td>\n",
              "      <td>22.66</td>\n",
              "      <td>32.52</td>\n",
              "      <td>3.54</td>\n",
              "      <td>0.25</td>\n",
              "      <td>20.89</td>\n",
              "      <td>64.77</td>\n",
              "      <td>0.32</td>\n",
              "      <td>0.00</td>\n",
              "      <td>12.950000</td>\n",
              "      <td>3.61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Aavas Financiers Ltd.</td>\n",
              "      <td>0.29</td>\n",
              "      <td>55.55</td>\n",
              "      <td>2.74</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.60</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-0.64</td>\n",
              "      <td>0.00</td>\n",
              "      <td>-160.45</td>\n",
              "      <td>0.00</td>\n",
              "      <td>22.129929</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ABB India Ltd.</td>\n",
              "      <td>7451.79</td>\n",
              "      <td>10.57</td>\n",
              "      <td>4.96</td>\n",
              "      <td>14.58</td>\n",
              "      <td>24.79</td>\n",
              "      <td>2.37</td>\n",
              "      <td>0.00</td>\n",
              "      <td>120.00</td>\n",
              "      <td>184.71</td>\n",
              "      <td>0.65</td>\n",
              "      <td>34.43</td>\n",
              "      <td>13.150000</td>\n",
              "      <td>2.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Abbott India Ltd.</td>\n",
              "      <td>1490.21</td>\n",
              "      <td>25.88</td>\n",
              "      <td>15.96</td>\n",
              "      <td>56.69</td>\n",
              "      <td>84.84</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.00</td>\n",
              "      <td>24.07</td>\n",
              "      <td>120.39</td>\n",
              "      <td>0.20</td>\n",
              "      <td>30.00</td>\n",
              "      <td>21.680000</td>\n",
              "      <td>2.50</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Company Name  Net Sales  ...  Free Float  M/Sales\n",
              "0       3I Infotech Ltd.    1681.02  ...   64.500000     0.24\n",
              "1          3M India Ltd.    1405.10  ...   12.950000     3.61\n",
              "2  Aavas Financiers Ltd.       0.29  ...   22.129929     0.00\n",
              "3         ABB India Ltd.    7451.79  ...   13.150000     2.25\n",
              "4      Abbott India Ltd.    1490.21  ...   21.680000     2.50\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QIlTiSHvi6Ew",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 998
        },
        "outputId": "45f7e98f-5fd2-483d-f379-3a54a5391678"
      },
      "source": [
        "plt.figure(figsize=(16,16))\n",
        "cor = data2.corr()\n",
        "sns.heatmap(cor, annot=True, cmap='YlGnBu')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1152 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yp2ozzLRjVV_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "cddb382b-8ba2-4829-dcdf-d2b11b2e98c9"
      },
      "source": [
        "cor_target = abs(cor[\"M/Sales\"])\n",
        "relevant_features = cor_target[cor_target>=0.265]\n",
        "relevant_features.index"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['PBIDTM (%)', 'ROCE (%)', 'Cons OCF', 'Cons PAT',\n",
              "       'FR_Dividend Pay Out Ratio(%)', 'M/Sales'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2mnSuhtOkWX5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X,y = data2[['PBIDTM (%)', 'ROCE (%)', 'Cons OCF', 'Cons PAT',\n",
        "       'FR_Dividend Pay Out Ratio(%)']], data2['M/Sales']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eE1B8yP7mOQK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "if PROVIDE_OWN_INPUT:\n",
        "    X_test =  pd.read_csv('test_data.csv')\n",
        "    X_train,y_train = X,y\n",
        "else:\n",
        "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2,random_state = 42)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WIzQNsgynCjy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.linear_model import LassoCV\n",
        "import xgboost as xgb\n",
        "from sklearn.linear_model import RidgeCV\n",
        "from sklearn.linear_model import BayesianRidge\n",
        "from sklearn.linear_model import ARDRegression\n",
        "from sklearn.linear_model import ElasticNetCV\n",
        "from sklearn.linear_model import LassoLarsCV\n",
        "from sklearn.svm import SVR\n",
        "l=[LassoCV(cv=5, random_state=0),\n",
        "    xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1, alpha = 10, n_estimators = 500),\n",
        "    RidgeCV(alphas=[1e-3, 1e-2, 1e-1, 1],cv=5),\n",
        "    BayesianRidge(compute_score=True),\n",
        "    ARDRegression(),\n",
        "    ElasticNetCV(cv=10, random_state=42),\n",
        "    LassoLarsCV(cv=10),\n",
        "    SVR(kernel='rbf', C=100, gamma=0.1, epsilon=.1)\n",
        "]\n",
        "reg_name = ['LassoCV', 'XGBRegressor', 'RidgeCV', 'BayesianRidge', 'ARDRegression',\n",
        "            'ElasticNetCV', 'LassoLarsCV', 'SVR',]\n",
        "pred_list = []\n",
        "for i in l:\n",
        "    i.fit(X_train,y_train)\n",
        "    #print(i)\n",
        "    pred_list.append(i.predict(X_test))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eggWlLu0mhv-",
        "colab_type": "text"
      },
      "source": [
        "### Mean Squared Error\n",
        "> Lower the value of error, better the performance"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hrZW8zxVnHVw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "293f7a3a-6ed1-44a4-dbe6-a1d16fb068be"
      },
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.5f}'.format(i,r, round(mean_squared_error(y_test.values, p)**0.5,5),))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 1.34538\n",
            " 1 XGBRegressor            1.62417\n",
            " 2 RidgeCV                 1.36187\n",
            " 3 BayesianRidge           1.32032\n",
            " 4 ARDRegression           1.34499\n",
            " 5 ElasticNetCV            1.34515\n",
            " 6 LassoLarsCV             1.32828\n",
            " 7 SVR                     1.38316\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rEo4-Hdbmm6Q",
        "colab_type": "text"
      },
      "source": [
        "### R2 Score\n",
        "> Higher the score, better the model. A perfect model willl have the highest value(i.e 1)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5zUzKsp3LFiV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "adbbf2cf-ef4f-4123-8db9-778d8c48697e"
      },
      "source": [
        "from sklearn.metrics import r2_score\n",
        "for i,r,p in zip(range(len(reg_name)),reg_name,pred_list):\n",
        "    #print(r,'\\t',mean_squared_error(y_test.values, p))\n",
        "    \n",
        "    print('{:2d} {:20s}    {:.5f}'.format(i,r, r2_score(y_test.values, p)))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " 0 LassoCV                 0.03001\n",
            " 1 XGBRegressor            -0.41364\n",
            " 2 RidgeCV                 0.00609\n",
            " 3 BayesianRidge           0.06581\n",
            " 4 ARDRegression           0.03058\n",
            " 5 ElasticNetCV            0.03034\n",
            " 6 LassoLarsCV             0.05452\n",
            " 7 SVR                     -0.02523\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YQCC_uwFnMcP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 500
        },
        "outputId": "b1bde024-e1fa-4254-dca5-7aed7b73ef39"
      },
      "source": [
        "if PROVIDE_OWN_INPUT:\n",
        "    plt.plot(range(y_train.shape[0]),y_train,'.r')\n",
        "else:\n",
        "    plt.plot(range(y_test.shape[0]),y_test,'.r')\n",
        "plt.plot([i for i in range(len(pred_list[3]))], pred_list[2])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7efc738cc518>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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YYTQPBvjOph99uwVKhYCMOPdDMOAsiajgSTARzVAMwSSbkXXJKZOdBDOQkPQcDhFltcaRUggAyEuKBMAJEePRG8yYGxcOjcqzXwn5adFo6urnCwsimpEYgkk21c0mZMSFIzpcPeZrsa6aYJ4EkwyOnO6BqX8IRTm6kc+5QjA3x42lN5jdWpJxrvy04aUZbI4johmIIZhkU9VswtK0safAAKBWKhAZqkIXG+NIBq564MLs+JHPJUWFIDKUEyLOZbM7cKqjz6OmOJeladEQBKCSdcFENAMxBJMsuixWNHWN3xTnEs+FGSSTUr0R2QlaJEWFjnxOEATkJUXiRCvLIUZr7OqH1e7waEawS0SICtkJEawLJqIZiSGYZFHdMnFTnEssQzDJwGpzoLyu86xSCJe8pEicaO+FKIoBuLPpSd8+PB7Ni3IIwNkcV9nUzX+nRDTjMASTLCZrinOJC2cIJulVNnWjz2rHulGlEC55SRHo7huCgY1cI1zj0bJ1Xobg9Gh0mK1oMQ1IeVtERLJjCCZZTNYU5xKr1bAmeLYoKwMee8z5McBKaowQBGBt1ngheLg5jhMiRugNZugiQib9Xp3MSHNcI0siiGhmYQgmWVQ1myYthQCcNcFGi5Vvo850ZWXApk3AQw85PwY4CJfqO7A4JQoxwxNIRstNcp52sjnuDL3B4lU9sMvCOZFQKwVUNLE5johmFoZgklx3nxWNnf3jrkseLVargdXmQJ/V7qc7I1kUFwNWK2C3Oz8WFwfsVvqtdhxs6Ma67LH1wACQEBGCmHA1ZwUPE0URNe3ejUdzCVEpsSA5iuuTiWjGYQgmyU22KW60uJFZwSyJmNE2bgQ0GkCpdH7cuDFgt7KvvhNWu+Os0WijCYIwvD6ZJ8GA83vP1D+EHC/Go41WkB6NqiYTHA6+q0NEMwdDMElupCkuNWrSx8VpnSGYdcEzXGEhsGMH8Oijzo+FhQG7lVK9ESqFgNWZcRM+JjcpAsfbOCECcJZCAN5PhnDJT4tB76ANtR0WKW6LiMgvVIG+AZp9qptNSI8LG7cmc7TY4RBs5EnwzFdYGNDw61KqN2JZegy0IRP/aJufHInePTa09QwiOTp0wscFg5HJED7UBAPOMWmAczJHjo+BmojIX3gSTJJzpykOGHUSzBBMEjD1D6GqqRvrxpkPPFpuonNCxHRpjrvrpf342ftHAnLtmnYzQtUKpESH+fQ8OYkRCNcoUcnmOCKaQRiCSVLuNsUBrAkmaZXXdcIhYtz5wKPlTaMJEYM2O7YfacdbB1sCUp6hN5iRpYuAQiH49DxKhYAlKdHcHEdEMwpDMEmqurkHwNRNcQAQFaaCUiGwJpgkUarvQKhageUZMZM+Lj4iBPFazbSYFXzsdC+sdgc6zIMBmVihN/g2GWK0/LRoHG7pgdXmkOT5iIjkxhBMU/NgEYI7m+JcBEFALLfGkURKa4xYlRmHEJVyysfmJkXgRHvgT4JHjxXbVdPh12sPDNnR1NXvcz2wS0F6DKw2x7Q4YScicgdDME3Ow0UI1c0mpMWGjTS9TSVOq2YIJp8ZegdxvK13wtFo58pLisTJNnPAJ0QcajRBFxGCeTotSvwcgus6LBBFINvH8WguruY4lkQQ0UzBEEyT83ARgrtNcS6x4Rp0WYZ8u0cKemW1RgCYcEnGuXKTImEetKHFNCDnbU2poqkby9KjUZQTj921RgzZ/VdK4JoMIdU0h/S4MMSGq1HZyOY4IpoZGIJpch4sQjD1DaGhs8+tpjiX+AgNjJZB3++TglqZvgORoSosSZl8NrXL/KTAT4joGRiC3mBGQVoM1ufo0Ge141Cj/05R9e0WCAIwTydNOYQgCFiaFsOTYCKaMRiCaXIeLEKobnFvU9xoseEadPXxJHimE0UR3QFscCzVG7FmXjxUSvd+pLkmRARyc1x1kwmi6KylLczSQRCAXSf9VxKhN5iRFhuGUPXUNdTuKkiLxom2XvRZbZI9JxGRXBiCaWqFhcCDD065DMHddcmjxWk16O6zws51qzPavw41Y9XPtgfkZLWpqw/1xr4pR6ONFhOuQUJkSEAmMrgcGj4xzU+LRnS4Gvmp0X6tC65pN0tWD+ySnxYDhwgcbumR9HmJiOTAEEySqfKwKQ5whmCHCPT08zR4JvtbaT2G7CKe21Xn92uX6p31wEVTLMk4V15SREBPgisbTciMDx/ZrFiUo8Ohxm6YB+U/RXU4RNR2SB+CC9KcL4Ar/FjWQUTkLYZgkky1h01xwJmtcVydPHMdaelBRWM34rUabDvYDKPZvzXeZXojdBGakRIHd+UmRuJkuxmOAL0LUdHUjYL0MzON1+foYHOIKK8zyn7tFlM/BoYckofgxKhQzIkO5eY4IpoRGIJJEqb+IdQbPWuKA5w1wQC4MGMGe3VvAzQqBf5463mw2hx4pbzBb9cWRRElNR0ozNZBEDzbepaXFIk+qx3N3f0y3d3E2noGcNo0MDJWDABWzI1FiEqBXSflD8F6gwUAJJsRPFp+WvRZ84+JiKYrhmCSxGEv6oGBMyfBnBU8M/Vb7XjrYDMuX5KM1fPisCFXhxfK6v22NUxvsKC9d9CjemCXQK5PdpULjD4JDlUrsXpenF/qgvXtzlpoqbbFjZafFoNTxj7ZGyVr2nvx1Rf24bTJ/y9iiGh2YAgmSVT6GIK7GIJnpPerTqN3wIabVmcAAP57/Ty09w7ig6rTfrl+md4ZGL0JwbkjY9L83xxX0dQNlULA4nNGuhXl6HC8rRftvfLOL9YbzIgOUyPeg/p9d7lOt+UsiXA4RNz/RiU+OdKGv/ynVrbrENHsxhBMkqhqNiE1xrOmOOBMOQRrgmemV8obkKXTYs28OADA+bkJyE7Q4tlddX7ZxlZSY0RqTBgy4sI9/rPRYWokR4UGpDmuotGE+cmRY8aTrR9u7iutkbckQm8wIycxwuMSEncsHW6Ok7Mk4qU99TjY0I2MuHC8trcRJjbWEpEXGIJJEt40xQFAmEaJMLWSJ8Ez0Im2Xuyv78LW1ekjYUqhEPBfRfNQ1WzCvvouWa/vcIgoqzViXXa812EuNykCJ9r9G4IdDhGV5zTFuSyaE4WYcDV2yVwSoTdYZKkHBpwvLrJ0WlTIdBLcahrArz46jvU5Ovzx1hWwWO1+rUMnotmDIZh85mqKc50AeSpOq0EnG+NmnFfKG6BWCvjSirSzPn/tilREh6llH5d25HQPTP1DWJfjeSmES15SJGr8PCHilNGCngEblqWNDcEKhYB12fEoqemQ7STd1D8EQ++g5JMhRpOzOe6Rdw7DanfgZ9csweIU58rpv5Wc8lsdOhHNHgzB5DNXU5ynkyFc4rQaNsbNMANDdmw70IxLFicjPiLkrK+Fa1S4eU0GPj7cisbOPtnuoXSkHtiN+cBlZcBjjzk/jpKXFIGBIQcau+S7z3O51gqPdxIMOOuCT5sGUNthkeX6esNwU5ysITgGbT2DaDVJW9v88eFWfHS4FfdszsXceOdJ9p0bstDaM4D3KlskvRYRzX4MweQzbzbFjRar1bAcYob5qLoVpv4h3DzcEHeu2wrnQhAEvFB2SrZ7KNUbkZ2gRVJU6OQPLCsDNm0CHnrI+XFUEA5Ec1xFownhGiVyJpjM4KoLlmtKhJyTIVwK0oeXZkh4Gtw7MIQfv30YC5Ij8dUNWSOf35iXgNzECDyz0z916EQ0ezAEk89cTXFxXnaax4WrWQ4xw7xS3oCMuHAUZo1fijAnOgxXLJ2DV8sbZdmAZrU5UF7X6d4pcHExYLUCdrvzY3HxyJdyE/0/Ju1QYzeWpEZDqRi/jjkjLhxpsWHYdVKmEGywQK0UkB4bJsvzA8CiOc5/PilLIn7z7xNo6x3AY9cuhVp55leXIAj46oYsHD3dM7I9kIjIHQzB5LPqZhOWpEZN/cAJxGlD0GVhd/dMoTeYsaeuE1tXp0MxQZADgDuKMtE7aMMb+xolv4fKpm70We0ocqceeONGQKMBlErnx40bR74UGapGakyY30Kw1ebAkZYeLJugFAJwhrr1OTqU1Rphl6FWWW8wIzNeC5XSjR//E5SRTCVMo8T8pEjJxqQdbOjC38tO4ba1c7E8I3bM17csT4EuIgTP7OS4NCJyH0Mw+aRnYAinjH1el0IAQJxWDfOgDYM2u4R3RnL5595GqBQCrjsvbdLHLc+IxYqMGDxfekryxrNSvRGCAKyZ50YILiwEduwAHn3U+bGw8Kwv5yZF+K0c4nhrL6x2x1mb4sZTlKND74BtpNRISnqD2b164EnKSNxRkB6NyiaTzyUKQ3YHHtxWhaTIUHz/0vnjPiZEpcRXCuei+LghIMtPiGhmYggmn1T72BQHYGS2ME+Dp79Bmx1v7G/C5oVJSIycohYXwB3r56He2IdPj7VLeh8lNR1YNCfK/bnUhYXAgw+OCcCAc0KE3mCW5dT1XIdGmuIm/35xLf+Qui54yO5Ag7Fvwnrks0xSRuKO/LSYkckxvvjrzjoca+3FT7YsRmSoesLH3bp2LkLVCvyVp8FE5CaGYPJJtY9NcQAQF87VyTPFJ0fa0Gmx4qY14zfEneuyxclIiQ7FsxKOS+u32nGwoRtFOW7UA7shNzECVpsD9UZ5pjGMVtHYDV2EBqkxk9fjxkeEYNGcKMnrguuNfbA5RGQnujEjeJIyEnfkp/neHFdvtODx7Sdw2eJkXLI4edLHxmo1uP68dPzrYIvsG/eIaHZgCCafVDX3ICU6dMyYLE+MrE5mc9y090p5A1JjwrDBzQCqUipw27pMlNUacaSlR5J72FffCavdgUIvViWPJ8+PEyIqGruRnxbj1nKP9bk67K/vQr9VujKhmnYPxqNNUUYylbykSISoFKho9K6kQxRF/M9b1VArFXjk6sVu/Zn/Xj8PQw4H/lFW79U1iSi4MASTT5xNcd6fAgNnQjBXJ09v9UYLSmqM2Lpq8oa4c920KgNhaiWeL5HmNLhUb4RKIWB1Zpwkz+cqDZB7fXLvwBBqDOYp64Fd1mXHw2p3YO+pTsnuwTUjOMvdGcGTlJFMRa1UYHFKlNcTIt462IxdNR34f5fNR3L01KU3AJCp0+LihUn4x+569Fmln0pCRLMLQzB5rWdgCHUdlpG3Pb11piaYIXg6e3VvIxQCcP3KdI/+XHS4Gtedl4a3D7Wgwzzo832U6o1Ylh4DbYjK5+cCAG2ICmmxYTgucwiuajZBFKeuB3ZZPS8OaqUgaV2w3mBGclQoIiT6dzeVgvQYVLeYYLN7ts2t02LFT98/ihUZMbhlzVyP/uxXz89Cd98Q3tzf5NGfI6LgwxA8C5XUdOC258phkWE+62iHm51vb/t6EhwT5mx2YU3w9DVkd+D1fU24aEGS26dyo91elAmr3YGXdjf4dB+m/iFUNXWPNI5JZX5SJE7KXA7hGhfm7klwuEaFFRmx2CVpCLa4Vw8skYK0GAwMOXCy3bN/tz97/yh6+ofw2LX5Hr3rAAAr58ZiWXoMnt1V55dmRyKauRiCZ6HX9jXiPycMePLTk7JeR4qmOMBZNxoTrmYInsZ2HG1Dh3kQN6327BTYJTshAhfOT8A/dtf7NAqvvK4TDhFYJ1FTnEtuUiRqO8wY8vDE0hMVjd2YGx/u/kQLOLfHHW7pkeR7QxRF1La7OR5NIq53iTwpiSip6cCbB5rw9QuyMD850uNrupZnnDL2YfvRNo//PBEFD4bgWUYURZTUGKFUCHh2Zx1q2uV7i7ey2eRzU5xLXLiGW+OmsZfLGzEnOhQX5CV4/Rx3rJ+HDvMg3q047fVzlOo7EKJSYHmGe6ep7spLisCQXZR1QkRFY7fbp8AuRbnOsF+q9/002NA7iN5Bm19DcGa8FpGhKhxyszluYMiOH75Vhcz4cHz7olyvr3vp4iSkxYbhmf9wXBoRTYwheJY50WZGh3kQ37skD+EaJR5++7DPw+onIkVTnEusVsOa4GmqsbMPO08acP3KdPe2jE1gfY4OeUkReG5Xndd/J0trjFiVGYcQldLr+xiP3BMi2nsG0GIa8Lh+Pj81GpEhKpTU+L4OuGa4Kc6tGcESUSgE5KdFu30S/PtPT6Le2IefX7MUoWrv/xurlArcUTQP++q7cLChy+vnIaLZzVjnyKAAACAASURBVOcQLAhCuiAInwmCcEQQhMOCINwjxY2Rd1xNNFcXpOD+yxagVG/Ee5Xen7xNxNUU52sphEucVsNyiGnqteG1xzeu8q4UwkUQBNxRNA9HTvdgT53nEw8MvYM43taLde6sSvZQdkIEBAGybRurGK4Hnmxd8nhUSgXWZsdL0hynNzhPuf15Egw4l2Ycb+3FwNDkZTDHWnvw589rcd15aZKUu9ywKh2RoSr8dad0M6qJvF0lTtOTFCfBNgDfE0VxEYC1AO4WBGGRBM9LXijVd2BufDjSYsNx8+oMLEmNwk/fPwKzxE1yI01xPk6GcIkLZwiejmx2B17b14iNeQlTLnhwxxeXpyI2XO3V8ozdtc7T0HXZ0tYDA0CYRomMuHDZmuMqGruhVAhYnOL598v6HB0aOvvQ4OPmNX27GVqNEklRvpcveaIgLQY2h4gjpyeeE+1wiHhwWxWiwtT4nysWSnLdiBAVblkzFx9Wn0Zjp2//7ogA+LxKnKYfn0OwKIqnRVE8MPx/9wI4CiDV1+clz9nsDuyu7RzZpKVUCHh0yxK09QziyR3SNslJ1RTnEqvVoKvPKlvpBnnns+MGtPUMYutq9zbETSVUrcQta+Zi+9E2j+tvS/UdiAxRYUlKlCT3cq7cxEjZxqRVNHVjflIkwjSev8Xv+n4u8bEuWG8wIzsxwq1FHVJyjYSrbJy4JOKlPfU42NCNh65c6FHj4FRuX5cJhSBIurGQgpiPq8Rp+pG0JlgQhEwAywHskfJ5yT0VTSaYB20oGnVStjwjFltXpeO5XXWSvtVb1WzCnOhQ6CRoigOAOK0aQ3ZR8hNr8s2r5Q1IjAzBRQsSJXvOLxfOhUoh4G+lpzz6c6V6I9ZkxftUlzyZ+ckRONVhgdUm7YQIURSdTXEelkK4ZCdokRwV6vOoNL2fJ0O4JEeFIiEyZKQk5FytpgH88qPj2JCrwxeXSXt+khwdiqsLUvDavkaY+oYkfW4KQj6uEqfpR7LfJoIgRAB4E8B3RVEc876XIAhfEwRhnyAI+wwGg1SXpVFKajogCBizTvaByxYgIlSFh9+uluykVcqmOACI0zrDdJeFv6imi9Omfnx2vB3Xr0yDWsLgmRQViivzU/D6vib0Drj337upqw/1xj7J5wOPlpcUCZtDRF2HtBMiThn70DNgQ4GXpUOCIKAoR4fSmg44vJx7axm0ocU0gOwE/80IdhEEAQVp0aiYoDnux+9Uw+Zw4GdfXCrLKfWdG7LQZ7Xj5XLfZlQT+bpKnKYfSX6zCYKghjMAvySK4rbxHiOK4l9EUVwpiuLKhATvxyzRxEpqOrBoTtTIGmKXOK0GD1y6ALtrO/FORYvP1+kdGEKthE1xgPMkGACMFt83ipE0XtvbBIcIbF0lTSnEaHcUzYN50IbX9rm31atU76wHLpJ4PvBouYmuCRHSlkRUDJcBeHsSDABFOfHo6huatK52Mq5gH4iTYMDZHFdrsKDnnBc9Hx9uxceH23DPpjxkxIfLcu1FKVFYn6PD30rrJD/lpyDkwypxmn6kmA4hAHgWwFFRFH/r+y2RN/qsNhxo6JowJNy4Kh0FadH42ftH3T59m8jhFucvYilDcGz48OpkzgqeFuwOEf/c24ANuTqkx0kfTpamRWNVZiz+VureVq8yvRHxWg3ykuQLcVkJWigE4KTEIfhQYzfC1Erk+jCabKQu2MuSCP3weLRsP45HG831AqB6VElE78AQfvz2YSxIjsSdG+bJev07N8xDW88g3pXgEICClyiKKNMbZd/GSv4jxUlwEYAvA7hIEIRDw/+7QoLnJQ/sPdWFIbs4YQhWKgT8ZMsSGMyDeHy7b01yrqY4acshnCG4k+UQ08J/ThrQYhrATRI1xI3njqJ5aOzsxydHJt/q5VwA04HC7HhZm7pC1UpkxmslnxVc2dSNpanRPtUyJ0WFIjcxwuu6YH27GUqFgLkynbZOJX/4Z8XouuD/+/g42noH8Isv5UtabjOeC/ISkJcUgWd21rL5lrxWfNyAm57ZjQv/rxiv72v0ujyJpg8ppkPsEkVREEUxXxTFZcP/+0CKmyP3ldZ0QK0UsCozdsLHFKTH4KbVGfhb6Skca/XubVXA2RTnanaRypkQzHKI6eCVPQ2I12qweWGSbNe4ZHEy0mLD8FzJ5J37eoMF7b2DspZCuOQmReCEhFsWh+wOVLf0jExIGJebc0eLcnTYe6rTq7XTeoMFGXHhki8ZcVesVoOMuPCRpRkHGrrwwu56fKUw0+PZyd4QBAF3rs/CsdZeSRaPUHD6x+566CI0SIkJw/1vVGLLH0pQ7sXMc5o+uDFulthV04EVGbEI16gmfdz9l8xHVKgKD//L+01yVRI3xQHOmZ5qpcCT4GmgvWcAO46147qVadCo5PsRoVQIuH1dJsrrOkfeXRhP2fBoMDmb4lzykiJxqsMy5WIHdx1v7YXV5pi4HtiDuaPrc3QYGHLgQL1729dG0xvMAWmKGy0/LRoVjd0Ysjvw4JtVSI4Kxfcvne+3629ZngJdRAie2clVyuS5xs4+fHa8HTetzsC2b67D4zcug6F3EDf8uQx3v3SAs6hnKIbgWaDTYsWR0z1unZTFajX4f5ctQPmpTvzrULPH1zIP2iTdFOciCAJiw7k6eTp4fX8T7A5Rloa4c92wKh1ajRLPTTLHtaTGiNSYMGTIUJt8rrykSDhEoNYgzYSIQ66muLQJQrAHc0fXZMVBqRA8rgu2O0TUdlgC1hTnUpAWgxbTAB774BiOt/XiJ1uWICJk8hftUgpRKXH7urn4/IQBx1vlmQdNs9cr5Q0QANy0OgMKhYAvLk/Fp9+/AN/dnIsdx9qw6bef41cfHeOYzxmGIXgWKNMbIYrud87fsDIdBekx+Nn7x8Z0a0/lcLMJoggsTZN+YUGcVoNONsYFlMMh4tW9DSjMisc8nfwnh1Ghaly/Mh3vVragvWdg3PspqzVincz1wC55Sc4JESclKomoaOxGnFaDtNgJtu15MHc0MlSNZekxHtcFN3X1wWpzBDwE5w+PiHuupA6XL0nGxYvkK7WZyC1r5iJUrcBfeRpMHrDanJszL1qQhJRRmzPDNSp8d3MePvv+Rnxh6Rw8XazHxl8X47W9jW41/FLgMQTPAiX6DkSEqNyeQ6pQCPjpliUwWgbxu09OeHStKhma4lzitFydHGgl+g40dvbjpjXynwK73L4uEzaHiBd314/52pHTPTD1D2FdjvylEAAwT6eFSiFINiatoqkbBWnREwd4D+eOFuXoUNnUDVO/+y9ez0yGCGw5xJLUaCgEIDJEhUeuXhyQe4jVanD9eel4+1AL2nvHvugiGs9Hh1vRYbbi1rXj/1ycEx2G3924DG/dtQ7pcWF44M1KXP3UrpFV7zR9MQTPAqU1HVibFedR9/nStGjcsiYDfy89hSMt7jfJVQ83xSVGhnpzq5OK1bIcItBeKW9AbLgaly723yldpk6LTQuS8OKehjG1uKUj9cDyN8UBgEalQKZOmgkR5kEbTrabp54P7MHc0fU5OjhEePTLVd/uLO3I0gX2JFgbosJdG3Pw6+sLkBQl/c8Pd/33+nkYcjjwQunYF13BYmDI7lWDZbB6cXc9MuLCcX7u5DsOlmfEYts31+GJrcvQZbFi619245sv7keDkfXC0xVD8AzX1NWHU8Y+r0LC9y+Zj5hwjUeb5CplaIpziQtnOUQgGXoH8e/DbfjSijS/TxG4Y30mOi1WvHPo7DmupXojshO0fg1NeUkRkswKrh4uHfJlSca5lqXHIFyj9KguWG8wI16rQew5S3QC4fuXzsdlS5IDeg+ZOi0uWZSEf+yuR581+Oo3RVHEbc+V4/LHd/o8Mz4YHG/tRXldJ25Z46wFnoogCNiyLBU7vrcR912ch+LjBmz+7ef4xYfH+O97GmIInuFKa7zfpBUTrsEPLluAffVd2HZg6iY5uZriXOK0Gpj6h2Czc6tTILx5oAk2h4itq9P9fu3CrHgsSI7EcyV1Iy/IrDYHyus6/XYK7JKbGIn6zj6fJ0RUTNUU5wWNSoE18+I8qgvWG8wBW5IxXX11QxZM/UN4Y797Gwtnk5IaI8rrOlHbYcGD26o4N3kKL+2ph0alwPUrPfu5GKZR4jubcvHZ9zfiyoI5+NPnelz4f8V4tbyB9cLTCEPwDLerpgO6iBCvN2ldd14almfE4LEPj05ZZyhnUxzgDMGiCHR7UO9I0hBFEa+WN2B1ZhxyhtcH+5MgCLhj/Twca+0dWZFc2dSNPqvdL6PRRstLioQoAjXtvpVEVDR1Iz0ubMwac18V5ehQa7CgpbvfrcfrDYGfDDHdnDc3FsvSY/DsLvc2Fs4mv//0JJKiQnDPply8V3kaL5c3BPqWpi3LoA3bDjTjC0vneP19nBwdit/esAxv312EufFa/GBbFa78/S6U6VkvPB0wBM9goiiiVN+BohzvO+cVCgGPblmCTot1yiY5OZviAIy8Xcu64DMGbXbsPGnAI+8cxoZffYqiX3yKZ3fVSf42blmtEaeMfQE5BXa5uiAFugjNyLi0Ur0RggCszfJvCJ6f7AyMvjbHVTSaJD0FdvFkhXKnxYpOizXgM4KnG0EQ8NUNWag39k25sXA2Ka/rxJ66Tnz9/GzcsykX5+cl4H/fPYLDLRPP6Q5mbx9qgXnQNmFDnCcK0mPwxjcK8fublqOnfwg3PbMbX3/i36j/6W+mXJRD8mEInsGOt/Wiw2z1eZPWktRo3Lp2Ll4oOzXpD8PqZhOSokJkaYoDgPiRrXHBHYI7zIN4fV8jvvGP/Vjxk0/w5WfL8Up5A/ISI5EaG4ZH3zuC9b/8DE99etKjKQGTebW8EVGhKlyxdI4kz+eNULUSt6yZix3H2lHXYUFJTQcWzYnyey3r3Hgt1ErBp+Y4Q+8gmrv7ZdmGNj8pEroIjVsh+MxkCJ4En+vSxUlIiw0LquUZv//0JHQRmpFZt7+7oQCx4Wp86+WDnG97DlF0TqxZOCcKKzIm3sTqCUEQcFVBCnZ87wJ8f0EYdtb34mpDKoxXXsMgHCAMwTNYyUT1wG6uYR3texfPR2y4Bg+/fXjCfehVzSbZ6oEBIDY8OEOwKIo4eroHT316Etc8XYJVP9uO+9+oxKHGbmxZnopnv7IShx6+BM/evgqvfb0Qb3yjEMvSY/B//z6Bol98il9+dAyGXu/XTXdarPiouhXXrkhDqDowa3VdblmbAY1SgT8W1+BgQ7dfViWfS61UIEvnW3Ocaz2wlE1xLgqFgHXZOpTojVPWc+qHSzpyWA4xhkqpwH+vn4f99V040NAV6NuR3aHGbuw82YE7N2QhTOP8Po+PCMGTW5ej3mjBD1kffJaDjd04croHt67NkHxGeahaiW+d3oO3Xr4f5pBw/G7VlyZdlEPy8d+6HpJcaU0H5um0SB01vHtkDavV6hy+78bsUQCIDlfjB5cvwP1vVOLNA01jmgDMgzbUdlhwVUGK1P8YI1w1V8EwIWJgyI6yWiN2HG3Dp0fb0WJyziwtSIvGvZvzcNGCRCxOiRr3h+/KzDg8d3scDreY8MdiPf70uR7P7arD1lXp+Or5WUiL9Wyz2rYDTbDaHbhptf9mA08kMTIUVxWk4LV9zoalQj/XA7vkJkWgosnz9cQuFY3dUAjA4hR56ufX5+jwTkULTrabRxZ8jEdvMCNEpThrwD+dccPKdPzukxP4685aPH3LeZI+95DdAZVC8MuSF3c89WkNosPUuHXt3LM+vyYrHt+7ZD5+/fFxrM2Kx81+nBE+nb24ux4RISp8cVmqPBfYuBHzH30Ut1R8hBcLLsdtK2KQJ8+VaBIMwTPUkN2B3bVGfHH5Od+g461hdSMEA8CXVqTh1b2N+MWHx3DJomREh6tHvnakpcfZFCfnSbDWeb3ZWhPc3jOAT4+1Y8exduw62YH+ITvC1EpsyNXhns25uHBBokelJotTovHUzStwn8GMP39ei5fLG/DSngZ8cXkqvnFBNnLceAtcFEW8Ut6AFRkxmJ/s/4a48dyxPhNvHmiCSiFgdWZcQO4hLykS71WeRp/VhnCN5z8mDzWZkJcU6dWfdUdRrvOEfNfJjilCsAXzdFoo3RjtFIy0ISrcvGYu/vIfPRqMfciI9241d8/AEI609KC62eT8X0sP9AYz7t2ch+9sypX4rj13pKUH24+24d7NeeOuqv7mBdnYXWvEI+8exrL0GCyS6cXbTNFlseK9ytO4cWU6tHKt9h5elPPdT3fiXwNKPNqkwQuiOG1eNJkHbXhzfxOuWZGKqFD11H9ghmIInqEqm7phsdrHvl3sWsPqOgmeZA3ruRQKAT/ZshhX/X4XfvPJcfxky5KRr7ma4uQMwSEqJSJCVOi0zJ7pEEdaevDJkTbsONaGyibnv8OU6FBcd14aNi1MxNqseJ9LELISIvDL6/Jxz+ZcPLOzFq+UN+DNA024fEky7tqYM2kj4776LugNFvzqunyf7kFKi1OicUFeAkRAvl9AU3BNW6lpNyPfw+Y2URRR0diNy2Wch5saE4Z5Oi1Kajpwx/p5Ez5ObzDL1sg6W9y+LhN/3VmL50rq3Npk12Wx4nBLD6qaTahuMeFwswmnRi1DSI4KxZLUKESHqfHUZzX44rJUr8O1VP5QXIOIEBVuX5c57tcVCgG/u3EZrnhiJ7718gG88+3144blYPH6/kZYbY4xp+aSKyxEXGEhvrOzFj99/yiKjxtw4YJEea/ppp9/cBQv72nAy3sa8Px/rZq17yYF799yHx1uMUGtVEx6CiOnXSednfOF53bOu9awFhc7A7Cbp8Aui1OicVthJl4oO4UbVqaP/AKtbjYhMTIEiTIvLYjVqtFp8b6+dTrZfqQNd76wD4LgXHLw/UvysGlhEhYkR8ryaj8lJgw/vmox7r4wB8+X1OGF0np8UNWKjfMTcPeFOVg1zqnqK3saEBmiwpX5gWuIG88zt60M6PVzh7+vj7f2ehyC6419MPUPyVIPPFpRTjzeOtCMIbsD6nG2RQ4M2dHY2Yctcr2dO0skR4fi6mUpeG1fI+7dnHfWO2CG3sGRoFvVbEJ1cw+aR42mS4sNw5KUaFx3XhqWpEZjcUo0EiJDAACtpgFc9JtiPPr+kYD+fa5p78UHVadx18bss/7ZzqWLCMGTNy3Hzc/sxv+8VYXHb1wWkFPJD6pOY/vRNvz8mqUB6VFwOES8tKcBqzJj/fbu2G2FmXhpTwN++v4RrM/Vjfv97E97T3Xi5T0N2LwwEXtqO3HN0yV4/vbVs/IdAoZgDw3a7PjdJyfxl//okRQVip0PXOjRumKplOg7sDhlgs75wkKPw+9o916ch/cqT+NH/6rGtm+ug0IhyN4U5+LcGjfzT4IdDhG//vg4snRavPaNQugiQvx2bV1ECO6/dAG+fkE2/lFWj+d21eH6P5VhdWYc7rowGxfkJUAQBJj6hvB+1WlcvzJNtrftvaVRBfaXwNy4cGhUCpz0Ylawq5ZYjvFoo63P0eHF3Q2oaOzGynFe4NQb++AQ4VZZTLC7c30Wth1oxs8/OIrk6FAcbnGG3raeMy/IM+PDsTwjBl8unIslKdFYkhqFmPCJJ5ckR4fi2xfl4pcfHcPnJwy4IG/ylbtyefozPUJVStxRNPE7Bi5rs+Jx7+Y8/OaTEyjMisdWP/YJiKKIp4v1+PXHxwE43+343iXz/XZ9l101Hag39uG+i/1XoatRKfDDKxbiqy/sw8t7GvCVCU7s/WHQZscP3qxEakwYnrxpORo6+/Bfz+/FDX8uw9O3rMD5Afp7LBdOh/DAkZYebHmqBH/6XI9VmXE4bRrA9qP+nzHZZ7XhYEOXbJ3z0WFq/PCKBTjU2I3X9zfCMmjz29uqsVrNrKgJ/qD6NI639eKezbl+DcCjRYWqcfeFOdj1/y7CI1ctQlNXH25/fi+u/P0ufFB1Gm8caMKgbXo0xE03KqUC2QkRXs0Krmg0IVSt8HqBjbsKs3QQBEy4PW5kPBpnBE9pUUoUNuTq8M99jXjy05M4ZexDYVY8fvSFhXj1a2tR+cglKL7/Qjx18wp844JsrM/VTRqAXe5Yn4l5Oi3+993DsNr8vwmz3mjB2xUtuGVNBuLd/Dl014U5WJ+jw4/fOYyjp3tkvkMnq82BB96oxK8/Po4taRpcre7Cnz6rkWR9uade3F2PeK3G7+u9Ny9MxLrsePxu+wmYAngQ9MdiPfQGC356zRKEa1RYkByFt+4qQlpsGO742168tq8xYPcmB4ZgN9gdIp4ursGWP+xCh9mKZ7+yEi9/dS1SY8Lwj931fr+f8rpODNlFFMm4Tvaa5alYlRmLX3x4DKV6o+xNcS5xWs2MH5Fmd4h4fPtJ5CZG4Mp8+aZpuCtMo8TtRfNQfP+F+NWX8tFnteOulw7g0feOID/N+RYujZWXFIGTXswKrmjqxpKUaNnfIYoOV2NpavSE84JdG++ydDwJdseTW5dj213rUP3Ipdh+3wV4fOty3LkhC2uz4r1uDApRKfHwlYtQa7Dgb6V1Et/x1P70uR5KhYCvnZ/l9p9RDtcHR4WpcffLB2CReX6wqW8IX3muHK/vb8I980Px+ANb8OPHv4OIvh48+PfSCUd2yuG0qR/bj7bhhlXpCFH5txRDEAT86AuLYOofwhM7Tvr12i417b14+jM9ri5IwYXzz9QmJ0eH4vVvFKIwOx4PvFGJ331yYtaM02MInsKpDgtu+HMZfvXRcWxemIR/33s+Ni1MglIh4OY1GSipMfq8XtVTpXojNErFuDWeUhEEAT/ZsgQ9Azb84M1KAMDSND+VQ8zwEPxuRQtq2s347ua8adWVr1EpcMOqdGy/7wI8dfNyFGbF455p0Lk+XeUlRaK5u9+jJQJDdgeqm02y1wO7FOXocLChe9x71BvMSI0JG5kJS5OL1WqwIiNW8mbMCxckYtOCRDyx/STaewYkfe7JNHf34439Tdi6Kt3jXo6EyBA8sXUZTnVY8KN/VcsWeBqMfbj2jyXYV9+J395QgHtbyyFYrYg3d+GHxc9jX6cNr+7138njK3saIAK4OUDvji1KicLWVel4oewUag3+zRUOh4gHt1UhTKPEw1ctGvP1yFA1nrt9Fa4/Lw1P7DiJ+9+oxJDd/+9uSI0heAKubTGXP7ETJ9p68fiNy/D0LSvO2h9+46p0aJQKvOjn0+BdJzuwYm6M7L/cFs6JwlcKM2G0WJEQGYIkmZviAOcvov4hO/qtdtmvJQeb3YEndpzEguRIWacD+EKpEHBlfgpe+dpabFqYFOjbmbZyh2tpPXlL9nhrLwZtDr+F4PU5OtgcIsrrjGO+pjeYuSlumnjoykUYsov4xYfH/HbNv3yuhygCX78g26s/vy5bh3s25eGtg814fXhut5T213fhmqdLYLRY8eJ/r8G1K9LOTDdSKnHdyV0o1Knw2IdH0d4r/4uHIbsDr+5txMa8BKTHBW6ax30Xz0eoWomff3DUr9d9dW8j9p7qwv98YaGzhG+cpVtqpQK/ui4f392cizf2N+GOv+1F78DM7uFhCB5Hq2kAtz+/Fz/6VzVWZsbi3/eejy8uTx3TKauLCMEVS5Px5v4m2d8ycum0WHHkdA/W+2mT1ncvzkViZAjOk2ht5FRcq5O7ZujCjLcONqOuw4J7L86DYhqdApPnXJNfPCmJcDXFLZO5Kc7lvLmxCFEpsOvk2SHY4RChb7ewHniayNRp8dXz52HbwWbsr++U/XrtvQN4ZW8jvrQi7exlSh761kU5KMqJx0NvV+NYq3T1we9WtOCmZ3YjMlSFbd9chzWuKUeu6UaPPgphxw787CtFGLQ58JN3j0h27Yl8cqQN7b2D8o9Fm0JCZAjuujAb24+2u7UaXQrtPQN47MOjKMyKx/XnpZ1ZuvXQQ86Po4KwIAj47uY8/Pq6fJTpjbj+T2VoNfnvHQ6pMQSf452KFlz6+H+wp86IR7csxgt3rMac6Il/iHy5MBO9gzb861CzX+6vVO/8pljnpxAcFarGe99ej198aalfrueadjETSyKG7A48+elJLEmNwiWLeMI606XHhSNEpcBxD06CKxq7ERuuRnqcf2ZqhqqVWJUZN/JzwaW1ZwD9Q3Zkc13ytHHXxhwkR4Xix+8chl3mOte/7qyDze7ANzd6dwrsolQIePzG5YgMVePul3yvDxZFEX/4rAbffuUgCtKise2uImSd+3e0sBB48EGgsBBZCRH41oU5eK/yND473u7Ttafy4u56pMaEYeP8wM/pvaNoHtJiw/Doe0dk/7sCAI+8exiDNgd+fu1S52HfeEu3znH9ynQ8d/sqNHX145qnSyR9keRPDMHDuixWfOvlA/jOKweRlaDFB9/ZgC8XZk45J3FFRgwWp0ThH2X1fikUL6kxIjJEhXw/DsBPjAp1qxNaCnEzOAS/sb8JjZ39uO/ivGmz9Ye8p1QIyE3ybEJEZZMJ+Wkxfv3vX5Sjw7HW3rPeMj4zGYIheLrQhqjwwy8sRHVzD/4pY51rp8WKF3fX4+qCFGTqfH8nICEyBE9uXYbaDgse8qE++KwJEMtS8OKda84qL5yIa/vlj96qRp9Vnndc9QYzSvVG3LwmY1r0cYSqlXjw8oU41tor698VwHkC/kFVK+7ZlIt5rr8vo8pSJlu6dX5eAl77eiEcoojr/1jmt5NrKTEEA/jseDsuffw/+Ki6FfdfOh+vf71w7KvTCQiCgC+vnYtjrb3Ye6pL5jt1ngSvyYoPyGxif4gNn5nlEIM2O576tAbL0mPO6qqlmS0vMdLtcgjLoA0n2nr9Vg/s4iqNKtOfKYnQDzfrzuoZwePULE53V+XPwep5cfj1x8fQLdPPuOd21aF/yI67L8yR7DnX5ehwz6ZcbDvYjNf3e14ffNYEiE25ePzGZW5PX9CoFHjs2qVo7u7H49vlmZrw0u4GqJUCblyVLsvze+OKpclYlRmLwsbxhgAAIABJREFU335yXLa6296BITz8djXmJ0WePUFkVFkKduyYdO/AohTnCLWUmDB85blyvOnF349Amp1Jyk2WQRt++FYV/uv5vYgN1+Bfdxfh7gtzPA6YW5alIipUJfu4tMbOPtQb+1CUEz/1g2eo+Bl6Evza3kY0d/MUeLbJTYpEa88ATP1T/xKqbjbBIQLL0v07cm5RShRiwtXYdfLMKYzeYEFUqAq6CP+8g+N3k9QsTmeCIOCRqxbD1D+E335yQvLnN/UP4e+lp3D5kuSRrYdS+fZFuViXHY+H364e++7IJC9IxkyA8OJn5KrMONy0Oh3P7qpDdbPJl3+MMfqtdryxvxGXLZkTsJnu4xEEAQ9duQgdZiv+8Jlelmv85t8n0NozgMe+tHTslrpRZSlTSYkJw+vfLMSarDh87/UK/H7HyRkzQi1oQ/C+U524/ImdeKW8AV8/Pwtvf6vI62UQYRolrl+Zjo+qT8vaxeqq+/NXU1wgRIWpoRBmVggeGLLjqc9qsHJuLDbkzt7/NsHItfCipn3qkghXU5yna5Z9pVQIWJcdj5KajpFfPDXtzskQs/YFmRs1i9PVopQo3Lp2Ll7cXS/5MooXSk+hd9Am6Smwi1Ih4PGtyxARosZdLx04U5owyQsS1wSIDrMV/3BNgPDSDy5biNhwDX74VpWkdbLvVrSgZ8CGW9dMv6VB+WkxuHZFKp7bVYfGzj5Jn/tgQxf+XnYKt62dixUSNL5Hharx/O2rce2KVPzmkxN4cFvVjBihFnQheNBmxy8+PIbr/1wGESL++bVCPHjFQp93lN+6di6G7CJeLZevfmdXjRGJkSGz+i1OpUJAzAybFfzynga09Qzivkt4CjzbuCZEnHCjJKKi0YS02LCAnCYV5ejQYhpAXYcFwPB4tNlcD+xmzeJ0dd/FeYgOU+PH7xx278TMjdIPy6ANz5bUYdOCRNkW4CRGhuKJrcugN5jx8NuHnZ+c4AXJe5VnJkC8ddc6rM3y7R3M6HA1Hr5qESqbTPh76Smfnmu0F/fUIy8pAqvnyTd33xcPXLoASoWAxz6UbmTakN2BB7dVITkqFPdftkCy59WoFPjN9QX4zkU5eHVvI+78+74zM8ynaflSUIXg0WuPt67KwIf3nC/ZX/x5Oi025Orw8p4G2GR49SOKIsr0HSjK0c36oBUbrp4xNcH9VjueLtZjbVYc1sm4wY8CIzUmDGFqpVvNcYcau/1eD+zieneopKYDPQNDaO8dnN0h2IOaxekoJlyD+y9dgPK6TrxbeXryB7tZ+vHi7np09w3hWxdJfwo8WlGODt++yDkn9vV9jWNekIgXXIA/fFaDb708yQQIL12VPwcX5CXgN/8+jpbufp+fr7KpG5VNJty6du60/b2aHB2Kb1yQjQ+qWlFeJ814vb/8pxbHWnvxky1LECHxchhBEHDfJfPxi2uXYldNB274UxnaPi2ZtuVLQROC36lowZY/7ILRYsXzt6/CY9culfw//m2FmWjtGcD2o22SPi8AHG/rRYfZinXZs7ce2CVeGzJjToJf3F2PDvMg7rt4fqBvhWSgcHNCRId5EM3d/Sjww1bF8WTEhSM1Jgy7ajpQa3CeBs/6GcEe1CxORzeuSseS1Cj8/P2jk48ec6P0Y2DIjmd21mJDrg7L/TDT/Z5NuVibFYeH3z6Mk1lLRl6QWD/ZjgeatR5PgHCXIAj46ReXwC6KePhtN0/RJ/Hi7nqEa5S4ZnmqRHcoj6+dn4U50aF49L0jPq+Rruuw4IkdJ3HF0mRcLOMoz62rM/DsV1ai3mjBtZ+040Rk0rQsXwqaELw8PQZXF6Ti3989HxcukKd7/6IFiUiNCcMLZdI3yLmaXopmcT2wS6xWPSNCsGXQhj9+rseGXN20fSuNfJeXFDllOUTlcD1wgZ/rgV0EQcD6HB1K9caRwM5tcdObUiHgf69ejNaeAfzhs5qJH+hG6cer5Q3oMFvxLRlqgcejVAh4cutyaEOUzvrg81bBdM/3cfsRhVcTIDyRHheOezfnYfvRNnx8uNXr5zH1DTkPx5alIjJULeEdSi9Mo8QDl81HVbMJ2w56v5NAFEX8cFsVQlQKPHLVYgnvcHwb5yfin18vhFUTgi/d/EuUZi6bduVLQROC0+PC8ZsbCkaWMchBqRBw85oMlOqNbjXSeKJUb0SWTosUH7b/zBRxWg06LdN/FePfy06h02L9/+3de3zcdZ3v8fd3JpkkM7nNpEl6S9NbCi29oBRo5bLFIspFUVlQFNT1eHBXcb3sugt6xNvxgcfVXV2vyyrnCIp4A2E9unKRLhTKHcqdTFrapqVM2lyamaS5TPLdP2YmTWmuzVx+v/xez8eDR9vJZOb7yI9J3vnO5/v56NNvWVHopSCHVtSX60C8f8KWVk+3HpLP6LgP12bDGU1zFO9L6o6n96nIZ7SogKNfMTWnNEb07jcs0I8feEW70vXcx5ik9KM/OaR/u3+nTlscOTJ5LQ/qKkv1L+85WS0HEvq7X23Xu3/4oB7b1aFvXXp8HSCm48NnLtHKeZX64p3Pq/s424f95sm96hsc1hUbnHcgbiwXr1ugdQ3V+qc/vXTc/ZJ/88RebdvZrmvOP1F1laVZXuHYVi+o0u2f2qS5cyr1mfdep7677nHUuzeeCcH58t5TGxTw+/Szh/dk7TEHh4b1yM52vWkWt0YbLRIKqLN3wNEtVuJ9g7rh/p0654TarJyshXM1TeFw3PbWLq2or1AoyyVW05EplXqwpV2L54SObXkER7rm/BNV7Df66u8nGA08QenHbU/u0/5DfTmvBR7LWU21uvqc5frjc6+NdIC45JTj7wAxVcX+VO/gtni/vvmnl6f9+dZa/fyR3XrDouqcHSLMNp/P6LqLVirW3a8f/dfOaX/+wUS/vvaHF3Xq4rAuPzW/wX9hOKjffGazbvzEZpWe+aa8Pvdk+C6ZZTXlJbpw7Tz99om9Mx4xmbG9tUs9A0OzujXaaOFgQEPDVt2HczMdKBv+74O71NU7yC6wBxzpEDH2uzvWWm3f21WwUoiMOeUlWjmvUpIH6oFnkbrKUv3t5ibd+1Kb7ntpeqOBB4eG9YMtLVrXUF2w9oyf3Nyk6y5apd99/IwZd4CYjpMbqvXBjYt188O79eSe6Q2q2rajXTsP9OjKDY05Wl1unNIY0UVr5+mG+3dM+2DgV3//gnr6k7r+3WvkK8BUvKqyYq2aX5n3550MITgHrtjQqHh/UrfPoHZntK0tB2WM8voNppBGRic7tEPEod5B/fsDO/WWVfV57wmL/JtfVarykiJFxwnBezp61dU7qLV5HpIxljPT7xbN6s4Qs9BfnbFES2tD+vJ/PK/+5NCUP+/Op19Va8dhfeKc5QXrblDk9+nDZy45MnI3j/7uvBWqryjV56bZk/Znj+xWOFisC9bMy+HqcuOa80/UsJW+8Z8vTflz7nu5TXc8/ao+tmm5ltdld4iK2xGCc+CNi6p10vxK/ezh3Vl5S/+hlnatWVCl6uAsnf70OmGHT437ydadivcl9elzJ9kFdmhfRFdw0NfOGKPldeXjlkNs35uaYFXonWDpyMFZQrC7BIp8uu6iVdrV3qsbt+6a0ucMDVt9f0uLVs6r1OaV3hzVXlFarC9ffJJeei2uHz/wypQ+p627T3c9H9Ol6xtmPB+gEBaGg/qfZy3R755+VU9NYQe8dyCp/3X7c1pWG9LHzlmWhxW6CyE4B4wx+sDGRr30WlyP7Zre2zSv19Of1FOtnZ7qQZsZndzpwBDc2TOgGx/cpQvWzJ34rR2XjnV1BAd+7VZM0CZte2uXSop8OmFu4XdYzmqq1dfetdqVO1xet+mEOp27sl7f/XNUrx2afPLoH5/br50HenR1AXeBneCtJ83Veavq9Z17m7WnffKparc+1qrksNX7TnPHgbix/M2m5aqtKNFXf//CpBtt/3J3s/Z1HdbXL1mbk24dbkcIzpF3rFugytIi3bRt14we59FdHRocsp6pB5ZSNcGSM3eCb3hgp3oGkvrUZLvALh7rWnAO/NqtqK9Qe8+A2hP9x3xse2uXVi+ocsRBNL/P6P2nN6oswA87N7ruolVKDttJp4MND1t9788tWl5XrvNXz83T6pzryxefpCKfT5//3bMThsLk0LB+8egendU0R4sLUL6RLeUlRfrseSfoyT1dEw5beXbvIf1k6yt63+mLdOpi2niOpfDftWepsoBfl65v0H8+95rauif/rX48D7UcVKDIp/WLvdOBwKk1wQcT/frpQ7v09rXzRw5LjcvlY10LyoFfu/HGJw8ODeu5Vw85ohQC7reoJqiPnr1Udzz96oTTwe55MaaXXovr4+csK8ghJ6eZV1Wmvz9vhR6IHtSd218d9373vtSm/Yf6dIXLDsSN5ZJTFmrVvEr9nz++pL7BdB35qDKy5NCwrrntGdWUl+gfszgaebYhBOfQFRsalRy2uvWx1uN+jK0t7TplUdiVtUvHKxjwK1Dkc1w5xL/91w71DQ7pbzc3TX5nl491LSgHfu0yITj6uv7fzbG4+gaHtc4Bh+IwO/zNpmWaX1WqL975vIbGmA5mrdX37mvRokhQb187vwArdKYrNy7WuoZqfeU/Xhi3p/fPHt6teVWl2pyjgVn55PcZfeGiVdrXdVg/fmDnMWVkN96yRc+/2q0vv+MkVZU5exhIIRGCc2jJnJDOXlGrWx7Zo+Q0Tq5mtCf69eL+bp1ZoNY3hWKMUU0o4KhyiLbuPt20bbfeefICLZ/qJC6Xj3UtKId97eorS1RRWnRMXfAzDjoUh9khGCjS5y5cqRf3d+uWR4/tN39/9KCe2XtIH9u0TEUOKMFxCr/P6Pp3rVHX4UFd/4djOyfsOtijB6IHdflpi2bN123jshq99aR6/WDLDrX9eetIGVlrWbX++fkenbuynnKZScyO/xMc7MoNjXqtu093vxCb9uc+tKNd0pEm+F4SDjorBP9gyw4lh+3UdoEx6xhjxhyfvL21S1VlxWqsYTobsufCNfO0cWmNvnXXy0e9I2at1XfvjWp+Vane/cbcD6Vwm1XzK/WRM5fol4+36pGd7Ud97JZH96jIZ/TeUxsKtLrcuPb8lRocGtY3w6mRxNbv1+fP+7j8fp++cvFJnj40ORWE4Bx784l1WlBdppsf3j3tz31ox0FVlBZpTQFHsRZKJBRwTE3w/kOHdcuje3TJGxe4+jAFZmZFfbmisfhRB2+ebu3SuoZqftAgq4wx+uI7Vinel9Q37zoyEe3hnR16fHen/nrTMgWK+PE9lk+e26SF4TJde/uzIz2X+waH9OvHW3XeSfV5GxecL4vnhPShNy3Wr1sH9Nxv/6Q7vvBd3d94sj57wSrNry4r9PIcj1dRjvl9Ru/fsEgP7WhXS9vYLZbG82BLuzYsrZk1b91MRyQUcExN8Pfva9HwsNUn3swusJc11VWos3dQB9IdInoHkmqOxXXyQu/9korcO3Fupa7c0KhbHt2j5/alym6+d19UtRUlumz97NrNzKZgoEj/+52rtfNAj364ZYck6Q/P7ldn76CuON39B+LGcvWbmxQOBvSFV3z6im+5Tm6o1pUbFxd6Wa7gvXRVAO9Z36CA36ebt019N7i1o1d7Ono91RpttEgooHYHhOC9nb365WOtuuzUBjVEeMvbyzJ9gKPpkojn9nVr2ErrGqgHRm58+twVCgcD+tKdz+uJ3Z16sKVdV5211FMHpY/HphPq9PZ18/WD+3aopS2hmx/eraW1IW2cpaWFVWXF+vRbVuipPV3qPjyor1+yRn66hkwJITgPaspLdOHaefrtk/uU6E9O6XMebDkoSTpj+ex80U4mHAwo3pec1ijMXPj+fS0yMrr6nOUFXQcKr6k+dSAyczhue2uXJDE6ezocNAnQDaqCxfqHt56gx3d36mM/f0LhYLHed7p7hzzk03UXrVJpsU8fvflxPbWnS1ec3jiry5YuP7VB566s07UXrNSJcycY5ISjEILz5MqNjUr0J/W7p/ZN6f5bWw6qvrLEs+NPI6FUS5fOAtYF72nv1a8f36vLT2ugtgqqLS9RdbB45HDc9r1dWlBdptqKkgKvzCUcOAnQDS5d36A1C6oU6+7XR85aqlBJUaGX5Aq1FSX63AUrteNAj0qLfbrklNl9kLDI79OPP3iq/seZSwq9FFchBOfJGxqqtXpBpW7etnvSMYfDw1bbdrTrjGVzZvVvrhOJhFLBorNnsGBr+Nc/R+X3GX2MXWAo3SGirkLRzE7w3i76A0+HAycBuoHfZ/SNv1yrS964UB/YODtrWnPlsvUNettJc/WRM5fSKxdjIgTniTFGV25o1Mux+ISTgCTp5Vhc7T0DepNH64ElKZzeCW7vOXZMbT7sPJDQbU/u1RUbGlU/y04T4/g11ZerORZXe6JfrR2H6Q88HQ6cBOgWK+dV6luXrVNFKUFuOnw+ox9deYr+/q0nFHopcChCcB69Y90CVZUV66ZJ2qV5vR5YOjI6uVA7wf96b1QlRX799V8sK8jzw5lW1Feouy850vebQ3HT4MBJgAC8jeKiPCoL+HXpKQv1/x7apbbuvnH7FT7YclBLa0OaV+XdOtRIMBWCC9ErOBqL647tr+qqs5dS74mjZA7H/erxVhkjrfZgD+8Z2biR8AvAMdgJzrMrNjQqOWz1i0dbx/z4QHJYj7zS4dnWaBnhkZ3gSUJwDk6bf/veqILFfn30bHaBcbQT6lNt0p7c06WmunKVc0gJAFyLEJxni+eEdPaKWt3y6O4x239t39ul3oEhvWmZt0Nwsd+nitKiiUcn5+C0+Yv7u/X/n9mvvzpjyUhJBpBRU16imvT/F9QDA4C7EYIL4AMbGhXr7tc96brC0bZGD8pnpI1LvVsPnBEJBSYOwTk4bf6de6KqKCnSR86izQzGlimJoB4YANyNEFwA55xYpwXVZbppjAlyD+04qDULqlQV5BRwJBSYuE9wlk+bJ4eG9eeX23TJKQtVHWQXGGNbkS6JOJkQDACuRgguAL/P6P0bFmnbzvaRnqOS1NOf1FN7ujzdGm20SDCg9sQEITjLp813d/RqIDmsk+Y7dNoO07Yc4a0nzdVZTXNGxigDANyJUx0F8p71Dfr23VHd/PBufeXi1ZKkR1/pUHLYev5QXEY4FNAL+7snvlMWT5tnfiHJ7PQ5Sqb+eWAgtetNi6mCOWP5HJ3BaxQAXI+d4AKpKS/RRWvn6bYn9ynRn5SUao0WKPLplMZwgVfnDJma4Mkm7GVLZhzu8joHjqpm2hYAAFlFCD5eWXhr+sqNjUr0J3X7U/skSVtbDurUxWGVFvuztUpXi4QC6k8O6/DgUF6erzkW18JwmUJObHvFtC0AALLKgT/tXSBLb02f3FCt1QsqdfO2XTp/9Vy99Fpcn2W844jMwIz2xICCkdz/rxqNJZxZCiEdqX/esiUVgCmFAABgRtgJPh5ZemvaGKMPbFis5lhC37knKknUA48yMjAjD1PjBoeGtfNgYqT9lSNt3Chdey0BGACALCAEH48svjX99nXzVVVWrJsf3q3K0iLGsI4SCaXaxE3YKzhLdrf3aHDIakWdQ3eCAeQW3VcAz6Ec4nhk8a3psoBfl56yUD/e+oo2LquR32eytky3i4RKJOVnJzhzKM6x5RC5sG0b5RWARPcVwKMIwccri625rtzYqJu27dbmE+uz8nizxeia4FxrjsVljEM7Q+QCP/SBI8YqceP1AMx6hGAHaKwJaes152hOeucTKRWlRfL7TF52gqOxhBrCQZUFPNKZgx/6wBGZErfML4V0XwE8gRDsEHUVpYVeguP4fEbhYEAdPYM5f67mWFwrnHwoLtv4oQ8cQfcVwJMIwXC0SKhYHT39OX2OgeSwXjnYo3NXeagchR/6wNGyWOIGwB0IwXC0cDCgzhzvBO9q71Fy2HprJ1jihz4AwNNokQZHi4QC6shxTXBzLC5JaqI9GgAAnkEIhqNFQgF15rhPcHMsIZ+XOkMAAABCMJwtEgqos3dAw8M2Z88RjcW1KBJUabFHOkMAAABCMJwtHAxo2EqHDueuLrg5FleTl4ZkAAAAQjCcLRJKDczIVV1wf3JIu9p7vXcoDgAAjyMEw9EyIThXdcGvHOzR0LD11rhkzMy2bdL116f+BAC4Fi3S4GiZENyeoxDcHEtIGtUZYts2eudifIybBtyF7+mYACEYjhbO8U5wNBaXz0hLa0MEHEyOcdOAe/A9HZOgHAKOFgnmtia4ORbX4ppQqjPEWAEHGC0zbtrvZ9w04HR8T8ck2AmGo5UF/Cor9qsjkaud4ISaMofiMgEns2tAwMHrMW4acA++p2MShGA4Xq6mxvUNDmlXe48uXDsvdQMBB1PBuGnAHfiejkkQguF44VBxTmqCdx7o0bDV0T2CCTgAMHvwPR0ToCYYjhcJlaijN/vDMqJtcUmiRzAAAB5ECIbjRYLF6ujpz/rjNsfi8vuMlswJZf2xAQCAsxGC4XjhUECdPdnfCW6OJbS4JqiSIn/WHxsAADgbIRiOFwkGlOhPqj85lNXHjcbiTIoDAMCjCMFwvEh5qldwVxbrgvsGh7S7o/foQ3EAAMAzCMFwvMzAjPYs9gpuaUvIWg7FAQDgVVkJwcaYtxljXjbGtBhjrsnGYwIZI6OTs9gr+EhnCHaCAQDwohmHYGOMX9L3JZ0vaZWky40xq2b6uEBGTToEd2SxV3BzLKEin9HiGjpDAADgRdnYCT5NUou1dqe1dkDSrZIuzsLjZte2bdL116f+dCKnr6+AwjkIwdFYXEvmhBQooiIIAAAvysbEuAWSWkf9e6+k07PwuNmzbZu0efOR+eH33uusCTJOX1+BVZcVS8r+TvCaBVVZezwAAOAuedsGM8ZcZYx53Bjz+IEDB/L1tClbtqQC5tBQ6s8tW/L7/JNx+voKrMjvU1VZcdZqgg8PDKm1s5d6YAAAPCwbIXifpIZR/16Yvu0o1tobrLXrrbXra2trs/C007BpU2qH1e9P/blpU36ffzJOX58D1IQCWdsJpjMEAADIRjnEY5KajDFLlAq/75X0viw8bvZs3JgqMdiyJRUwnVZq4PT1OUA4iyG4OZbqDEGPYAAAvGvGIdhamzTGXC3pT5L8km601j4/45Vl28aNzg6XTl9fgYWDAe3t7M3KYzW3xRXw+7S4JpiVxwMAAO6TjZ1gWWv/IOkP2XgsYCw1oYCe3deVlceKxhJaWhtSkZ/OEAAAeBUpAK4QDgXU2TMoa+2MH6s5FqcUAgAAjyMEwxUioWINDA0r0Z+c0eP09Ce1t/OwVtRxKA4AAC8jBMMVwsH06OSewRk9TktbQhKH4gAA8DpCMFyhpjw9NW6GvYIznSFojwYAgLcRguEKmZ3gjp7+GT1OtC2hQJFPjTWhbCwLAAC4FCEYrhAJZULwzMohmmNxLastl99nsrEsAADgUoRguEI4lKkJnlk5RDSWoBQCAAAQguEOFSVFKvabGdUEJ/qT2td1WCs4FAcAgOcRguEKxhiFgwF1JI4/BEcz45JpjwYAgOcRguEakVBgRjvB0ViqPRo7wQAAgBAM14iEAjOqCW6OxVVS5FNDJJjFVQEAADciBMM1wjPcCW5uS2h5HZ0hAAAAIRguEgkG1DGDneBoLE4pBAAAkEQIhouEQwEdOjyo5NDwtD+3u29Q+w/1qYn2aAAAQIRguEhNKCBrpUOHpz8wY+RQXB07wQAAgBAMFwmPTI2bfklEpj0a5RAAAEAiBMNFIsHjD8HNsYTKiv1aGC7L9rIAAIALEYLhGuFQsSSp8zg6RETb4lpeVy4fnSEAAIAIwXCRmlCJJKmjZ/o1wc2xOIfiAADACEIwXKM6mNoJ7ujpn9bnHTo8qFh3P/XAAABgBCEYrlFa7Fco4J/2TvCRQ3HsBAMAgBRCMFwlUh6Ydk1wc7o9WhPt0QAAQBohGK5yPFPjmmNxBQN+LaimMwQAAEghBMNVwqHph+BoW1xNdIYAAACjEILhKse3E5xQE4fiAADAKIRguEokNL2a4K7eAR2I93MoDgAAHIUQDFcJhwLqHRhS3+DQlO4/ciiOnWAAADAKIRiuEglNb3Ry80h7NEIwAAA4ghAMVwkHpxeCo7G4ykuKNL+qNJfLAgAALkMIhqvUlKdC8FTrgptjCS2vK5cxdIYAAABHEILhKtPeCW6LcygOAAAcgxAMV5lOTXBHz4AOJgaoBwYAAMcgBMNVqsqK5TNS5xRCcOZQHJ0hAADA6xGC4Sp+n1F1MKCOKdQER0c6Q1AOAQAAjkYIhuuEg8VTKodojiVUUVKkuZV0hgAAAEcjBMN1IqGpjU5ujsXVVE9nCAAAcCxCMFwnEgqos2dw0vtF2xIcigMAAGMiBMN1IqGA2ifZCT6Y6FdHzwCH4gAAwJgIwXCdcDCgzt4BWWvHvU8zh+IAAMAECMFwnUgooKFhq+6+5Lj3icYSkkQ5BAAAGBMhGK6TGZgxUa/g5lhclaVFqqsoydeyAACAixCC4TrhdAieqC44GksdiqMzBAAAGAshGK4TCU68E2ytVXNbnENxAABgXIRguE6mHGK8qXEHEv3q6h3kUBwAABgXIRiuM1lNMIfiAADAZAjBcJ1gwK9AkW/cqXGZ9mhN7AQDAIBxEILhOsYYRYLjj05ujiVUHSxWbTmdIQAAwNgIwXClSCg1MGMs0VhcK+roDAEAAMZHCIYrjTc62Vqr5licUggAADAhQjBcKRwKjHkwri3er+6+JIfiAADAhAjBcKVIsHjMmmAOxQEAgKkgBMOVIqESdfclNTg0fNTtzbRHAwAAU0AIhitFQsWSdMzhuGgsrkgooDl0hgAAABMgBMOVwiMDMwaPur05FldTHaUQAABgYoRguNLI6ORRdcHWWkVjCUohAADApAjBcKWR0cmjyiFe6+5TvD+pFRyKAwAAkyAEw5UiwVQIHt0rOHMoromdYAADkZPsAAAHEUlEQVQAMAlCMFypOpipCT4SgqPp9miUQwAAgMkQguFKgSKfKkqLjqoJbo7FNac8MFIqAQAAMB5CMFwrEgq8LgQn1FTHLjAAAJgcIRiuFQ4GRg7GWWvV0pbgUBwAAJgSQjBca/RO8KuH+pToT3IoDgAATAkhGK4VCQVGDsY1cygOAABMAyEYrhUJBdTeM5AekpEJwZRDAACAyRGC4VrhYED9yWEdHhxScyyh2oqSkdZpAAAAEyEEw7VqRo1Ojsbi7AIDAIApIwTDtcLpENyeGFC0jfZoAABg6gjBcK1IqFiS9Oy+Q+odGOJQHAAAmDJCMFwrnK7/feSVDkkcigMAAFNHCIZr1YRKJEmP7GyXJHoEAwCAKSMEw7UqSovk9xm1xftVX1miqrLiQi8JAAC4BCEYruXzGYWDqeBLPTAAAJgOQjBcLZLuEEFnCAAAMB2EYLha5nAch+IAAMB0EILhaiM7wZRDAACAaSAEw9XCIyGYnWAAADB1RYVeADATF66Zp2CxX5WldIYAAABTRwiGq52xfI7OWD6n0MsAAAAuQzkEAAAAPIcQDAAAAM8hBAMAAMBzCMEAAADwHEIwAAAAPIcQDAAAAM8hBAMAAMBzZhSCjTH/ZIx5yRjzjDHmdmNMdbYWBgAAAOTKTHeC75a02lq7VlKzpGtnviQAAAAgt2YUgq21d1lrk+l/Pixp4cyXBAAAAORWNmuCPyzpj1l8PAAAACAniia7gzHmHklzx/jQ5621d6Tv83lJSUk/n+BxrpJ0lSQtWrTouBYLAAAAZMOkIdhae+5EHzfGfEjSRZI2W2vtBI9zg6QbJGn9+vXj3g8AAADItUlD8ESMMW+T9A+S/sJa25udJQEAAAC5NdOa4O9JqpB0tzHmaWPMj7KwJgAAACCnZrQTbK1dnq2FAAAAAPnCxDgAAAB4DiEYAAAAnmMmaOiQuyc15oCk3Xl/YmmOpIMFeF4ci2vhDFwHZ+A6OAPXwRm4Ds4wm65Do7W29vU3FiQEF4ox5nFr7fpCrwNcC6fgOjgD18EZuA7OwHVwBi9cB8ohAAAA4DmEYAAAAHiO10LwDYVeAEZwLZyB6+AMXAdn4Do4A9fBGWb9dfBUTTAAAAAgeW8nGAAAAPBOCDbGvM0Y87IxpsUYc02h1+NVxphdxphn02O2Hy/0erzEGHOjMabNGPPcqNsixpi7jTHR9J/hQq7RC8a5Dl8yxuxLvy6eNsZcUMg1eoExpsEYc58x5gVjzPPGmE+mb+c1kUcTXAdeE3lkjCk1xjxqjNmevg5fTt++xBjzSDo7/dIYEyj0WrPJE+UQxhi/pGZJb5G0V9Jjki631r5Q0IV5kDFml6T11trZ0nvQNYwxZ0tKSLrJWrs6fds3JHVYa7+e/uUwbK39x0Kuc7Yb5zp8SVLCWvvNQq7NS4wx8yTNs9Y+aYypkPSEpHdK+pB4TeTNBNfhMvGayBtjjJEUstYmjDHFkrZK+qSkz0i6zVp7qzHmR5K2W2t/WMi1ZpNXdoJPk9Rird1prR2QdKukiwu8JiCvrLX3S+p43c0XS/pp+u8/VeqHD3JonOuAPLPW7rfWPpn+e1zSi5IWiNdEXk1wHZBHNiWR/mdx+j8r6c2SfpO+fda9HrwSghdIah31773iRVYoVtJdxpgnjDFXFXoxUL21dn/6769Jqi/kYjzuamPMM+lyCd6CzyNjzGJJb5D0iHhNFMzrroPEayKvjDF+Y8zTktok3S1ph6Qua20yfZdZl528EoLhHGdaa98o6XxJH0+/NQwHsKnaqNlfH+VMP5S0TNLJkvZL+lZhl+MdxphySb+V9Clrbffoj/GayJ8xrgOviTyz1g5Za0+WtFCpd9BPLPCScs4rIXifpIZR/16Yvg15Zq3dl/6zTdLtSr3QUDixdE1epjavrcDr8SRrbSz9A2hY0r+L10VepGsffyvp59ba29I385rIs7GuA6+JwrHWdkm6T9JGSdXGmKL0h2ZddvJKCH5MUlP6lGNA0nsl3VngNXmOMSaUPvggY0xI0nmSnpv4s5Bjd0r6YPrvH5R0RwHX4lmZ0JX2LvG6yLn0QaCfSHrRWvvPoz7EayKPxrsOvCbyyxhTa4ypTv+9TKlGAi8qFYb/Mn23Wfd68ER3CElKt1f5tiS/pButtV8r8JI8xxizVKndX0kqknQL1yF/jDG/kLRJ0hxJMUlflPQ7Sb+StEjSbkmXWWs5tJVD41yHTUq97Wsl7ZL00VF1qcgBY8yZkh6Q9Kyk4fTNn1OqHpXXRJ5McB0uF6+JvDHGrFXq4JtfqQ3SX1lrv5L+uX2rpIikpyRdYa3tL9xKs8szIRgAAADI8Eo5BAAAADCCEAwAAADPIQQDAADAcwjBAAAA8BxCMAAAADyHEAwAAADPIQQDAADAcwjBAAAA8Jz/Blfc0r3DFrtOAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rxHmctBJmrUe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}