MNC_Day_Latest.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_Day_Latest.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "haXfnvS8tcui",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "PROVIDE_OWN_INPUT = True"
      ],
      "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": 160
        },
        "outputId": "d37c05cc-58da-421d-929f-f94a7eb62986"
      },
      "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-9a553aeb-3d7a-4e89-9ae2-5fcce9bf7b39\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-9a553aeb-3d7a-4e89-9ae2-5fcce9bf7b39\">\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 dataset6.csv to dataset6.csv\n",
            "Saving test_data.csv to test_data.csv\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'dataset6.csv': b'Company Name,REVENUE,OPERATING PROFIT,PAT,OCF,OCF/OPE PRO,ROE,ROCE,D/E,Asset Turnover,EBIDTAM (%),PATM(%),DIV PAYOUT RATIO,Free Float,5 YR Sales CAGR,5 YR OP CAGR,Ev/EBITDA,M/Sales\\r\\nMultibase India Ltd.,109.94,19.62,15.36,5.17,0.263506626,16.77,23.84,0,0.97,19.85,13.97,0,23.93,0.121380006,0.220486449,20.9,5.8\\r\\nVoith Paper Fabrics India Ltd.,112.03,29.27,23.09,16.74,0.571916638,11.36,15.98,0,0.44,28.99,20.61,9.51,24.11,0.018935827,0.166579054,6.17,3.6\\r\\nMorganite Crucible (India) Ltd.,120.14,20.2,15.37,20.52,1.015841584,16.17,23,0,1,18.2,12.79,29.15,25,0.017791896,0.022985744,12.43,3.85\\r\\nSaint-Gobain Sekurit India Ltd.,159.76,25.77,16.08,23.59,0.91540551,14.83,20.41,0.03,1.24,14.36,10.06,0,25,0.037345153,0.22872586,17.47,3.56\\r\\nXchanging Solutions Ltd.,184.1,42.73,46.71,48.14,1.12660894,11.44,13.91,0,0.36,30.86,25.37,0,6.5,-0.084972011,0.199472801,11.05,2.91\\r\\nAsian Oilfield Services Ltd.,193.86,32.88,9.1,34.81,1.058698297,6.25,9.08,0.07,0.82,7.69,4.69,0,23.07,0.065746265,1.701274842,9,1.71\\r\\nStovec Industries Ltd.,194.8,40.71,33.6,37.63,0.924342913,26.03,38.52,0,1.1,25.53,17.25,34.18,24.64,0.138145423,0.25216739,10.19,2.59\\r\\nAsian Hotels (East) Ltd.,202.35,42.04,3.54,34.37,0.81755471,0.46,2.74,0.16,0.2,12.2,1.75,81.39,16.63,0.014820127,0.014472626,9.57,1.63\\r\\nJagatjit Industries Ltd.,224.47,-42.75,-65.93,50.44,1.179883041,-51.78,1.21,3.08,0.35,2.1,-26.43,0,25.28,-0.230317776,-3.199741283,0,0.78\\r\\nTimex Group India Ltd.,241.63,11.31,7.46,6.41,0.566755084,0,21.48,1.2,2.05,4.13,3.09,0,20.17,0.112173395,1.067060186,40.09,2.31\\r\\nDisa India Ltd.,251.67,36.57,28.61,16.33,0.446540881,23.21,33.24,0,0.82,16.28,11.37,1.27,15.95,0.064639868,0.038401095,27.06,4.12\\r\\nAllsec Technologies Ltd.,261.16,39.63,15.67,20.17,0.50895786,7.37,13.73,0,1.15,11.23,6,0,21.64,0.115798935,1.156009675,5.69,1.32\\r\\nAsian Hotels (North) Ltd.,273.52,81.28,-35.66,104.97,1.291461614,-5.42,3.51,1.68,0.13,24.14,-14.28,0,17.08,0.033475583,0.058686707,13.38,1.48\\r\\nExpleo Solutions Ltd.,282.77,53.14,36.2,40.56,0.763266842,27.1,40.11,0,1.49,18.97,12.8,0,38.41,0.057313827,0.059984651,7.46,1.78\\r\\nNirlon Ltd.,298.67,226.09,63.68,223.98,0.990667433,19.61,15.95,2.42,0.22,56.42,21.32,10.61,14.71,0.045583546,0.079140369,10.44,6\\r\\nBlack Rose Industries  Ltd.,308.71,24.25,13.89,11.19,0.461443299,33.14,30.73,0.62,2.71,7.42,4.5,11.02,16.39,0.095112977,0.651676327,11.83,0.8\\r\\nSeamec Ltd.,313.7,112.01,81.85,96.85,0.864654942,21.18,21.06,0.17,0.55,28.61,26.09,0,23.23,-0.021661161,0.228779937,11.44,3.45\\r\\nOrient Green Power Company Ltd.,323.28,217.04,-48.9,267.55,1.232722079,-9.47,7.34,3.04,0.14,46.8,-15.05,0,19.26,-0.083888737,0.009228927,7.88,1.49\\r\\nFoseco India Ltd.,362.16,49.57,32.04,47.1,0.950171475,21.23,33.25,0,1.59,13.88,8.85,49.84,13.54,0.066077915,0.104969039,14.96,2.48\\r\\nMPS Ltd.,362.54,93.18,76.04,53.63,0.575552694,17.09,24.17,0,0.59,29.66,20.97,61.21,22.58,0.101086866,0.086125923,8.84,3.35\\r\\nElantas Beck India Ltd.,409.12,64.77,65.79,33.02,0.509803922,21.34,29,0,1.07,21.85,16.08,5.42,14.95,0.037096733,0.105314396,20.54,4.16\\r\\nAsian Hotels (West) Ltd.,432.21,148.45,74.84,169.09,1.139036713,60.23,14.25,6.5,0.4,29.71,17.23,1.56,31.53,0.095440642,0.447628669,7.35,0.89\\r\\nAccelya Solutions India Ltd.,433.02,170.12,106.38,86.93,0.510992241,56.41,86.11,0,1.05,37.5,24.57,44.9,19.12,0.074021723,0.044198315,9.99,4.08\\r\\nEnkei Wheels (India) Ltd.,474.49,24.81,12.73,39.3,1.584038694,12.14,9.88,0.66,1.59,3.83,2.68,0,14,0.043227839,0.098586043,19.32,1.31\\r\\nSinger India Ltd.,482.99,15.52,9.39,-1.24,-0.079896907,16.11,21.36,0.38,3.15,3.38,1.94,45.77,34,0.146941739,0.12507571,16.37,0.57\\r\\nNovartis India Ltd.,490.68,12.14,51.77,-194.28,-6.694656489,6.89,11.7,0,0.29,14.82,8.78,47.67,27.35,-0.108837665,1.353931515,6.12,3.19\\r\\nGMM Pfaudler Ltd.,502.64,76.75,50.58,27.04,0.352312704,20.37,29.98,0,1.12,14.73,10.01,13,21.27,1.03E-01,0.182357541,19.47,3.6\\r\\nGP Petroleums Ltd.,606.57,34.1,16.25,-12.52,-0.367155425,8.04,9.7,0.65,1.53,5.3,2.68,23.53,26.98,0.083071938,0.173806241,12.46,0.6\\r\\nSaurashtra Cement Ltd.,621.19,4.21,-4.92,14.66,3.482185273,-1.21,-0.47,0.08,1.04,-0.33,-0.79,0,17.75,0.019866231,-0.407865693,4.43,0.63\\r\\nShreyas Shipping & Logistics Ltd.,624.79,70.35,29.77,59.28,0.842643923,7.72,7.39,0.67,0.76,8.44,5.35,8.85,27.76,0.027326014,0.092906006,8.58,1.36\\r\\nEsab India Ltd.,671.63,79.08,57.59,67.39,0.852175013,17.86,26.18,0,1.57,12.57,8.57,240.51,13.97,0.040011644,0.086623846,15.27,2.07\\r\\nKokuyo Camlin Ltd.,688.77,51.34,15.2,7.52,0.146474484,6.24,8.57,0.7,1.33,4.97,2.21,0,23.26,0.04832288,0.813041358,29.81,1.73\\r\\nR Systems International Ltd.,699.89,57.25,51.05,31.12,0.543580786,17.21,21.06,0.01,1.7,8.99,7.29,14.49,12.47,0.015525789,-0.049124935,6.48,0.79\\r\\nKingfa Science & Technology (India) Ltd.,701.52,34.93,19.06,48.97,1.401946751,6.05,9.37,0.05,1.35,4.46,2.72,0,16.48,0.26217388,1.632425631,23.73,1.54\\r\\nD-Link (India) Ltd.,715.7,45.97,26.45,2.69,0.058516424,13.38,20.96,0,2.04,5.79,3.7,13.43,36.94,0.022291142,0.161469665,13.12,0.46\\r\\nAstrazeneca Pharma India Ltd.,728.29,71.3,54.45,54.98,0.771107994,20.03,26.53,0,1.25,9.98,7.48,0,15.43,0.070934133,1.453892538,62.62,6.16\\r\\nIngersoll-Rand (India) Ltd.,739.07,103.45,80.93,36.63,0.354084099,10.46,16.54,0,0.79,17.31,10.95,11.7,22.39,0.024132968,0.179577442,7.22,2.87\\r\\nOrient Refractories Ltd.,747.95,129.14,89.83,54.34,0.420783646,25.7,39.68,0,1.23,18.54,12.01,33.44,21.57,0.106468883,0.102769862,16.93,3.69\\r\\nGoodricke Group Ltd.,748.79,30.82,9.49,39.68,1.287475665,3.1,8.92,0.17,1.29,4.08,1.27,91,24.24,0.044606464,-0.112800889,11.4,0.83\\r\\nAgro Tech Foods Ltd.,823.66,64.8,34.25,31.3,0.483024691,10.02,14.33,0,1.82,6.23,4.16,17.79,26.44,0.016217985,-0.014933488,21.88,1.85\\r\\nDIC India Ltd.,837.96,-1.31,-9.32,-8.77,-6.694656489,-3.27,-0.02,0.18,1.37,-0.01,-1.11,0,20.85,0.030237178,-1.542951429,29.43,0.46\\r\\nProcter & Gamble Health Ltd.,848.99,144.14,838.72,-130.38,-0.904537255,73.79,100.08,0,0.41,133.99,98.79,87.09,40.56,-0.004189513,0.133980346,23.02,5.56\\r\\nNIIT Ltd.,910.81,73.88,86.44,44.26,0.599079589,-0.97,4.48,0.23,0.64,4.72,-0.81,96.8,38.64,-0.009845033,0.067684864,19.47,1.75\\r\\nVesuvius India Ltd.,925.07,148.17,92.52,94.64,0.638725788,13.23,20.47,0,0.71,15.47,10,15.36,18.48,0.072470612,0.059219075,11.82,2.65\\r\\nKennametal India Ltd.,945.2,145.2,90.4,70.8,0.487603306,17.3,23.96,0.02,0.94,13.51,9.56,4.87,12.56,0.106444849,0.233779872,15.79,2.41\\r\\nEster Industries Ltd.,1028.06,107.95,31.11,117.02,1.08402038,10.41,14.1,0.79,1.5,7.9,3.03,13.4,23.39,0.02787923,0.077312298,8.06,0.44\\r\\nClariant Chemicals (India) Ltd.,1028.09,57.38,18.56,29.78,0.518996166,2.99,4.96,0,1.15,2.99,1.81,62.18,39.41,-0.003448172,-0.13842303,12.84,0.99\\r\\nEros International Media Ltd.,1031.3,592.24,269.08,401.97,0.678728218,11.14,13.07,0.23,0.26,38.64,25.84,0,33.83,-0.062096432,0.145902611,3.27,1.07\\r\\nVST Industries Ltd.,1099.01,353.12,226.84,290.16,0.82170367,36.41,56.28,0,1.07,29.62,19.16,64.67,18.55,0.056231398,0.101160595,13.18,4.42\\r\\n3I Infotech Ltd.,1121.75,144.4,67.25,137.03,0.948961219,23.91,14.1,2.79,0.79,14.56,6.08,0,45.8,-0.035506374,0.185645903,10.18,0.61\\r\\nEssar Shipping Ltd.,1309.18,331.77,-3775.3,157.06,0.473400247,0,-44.7,5,0.21,-40,-50,0,12.67,-0.072854841,-0.089542199,14.97,0.26\\r\\nFederal-Mogul Goetze (India) Ltd.,1341.83,226.41,87.41,133.25,0.588534075,12.75,20.04,0.03,1.19,11.54,7.12,0,8.81,-0.032149938,0.096441131,10.62,1.91\\r\\nAndhra Paper Ltd.,1427.33,378.58,200.08,310.03,0.818928628,30.14,41.16,0.02,1.16,22.41,14.02,0,21.84,0.041810993,0.438475348,6.53,1.25\\r\\nBanco Products (India) Ltd.,1566.59,114.92,69.08,62.41,0.543073442,8.43,16.83,0.05,1.3,9.2,4.41,82.82,25.37,0.067707471,-0.06956419,5.99,1\\r\\nGrindwell Norton Ltd.,1598.06,271.82,167.24,84.54,0.311014642,16.28,25.17,0,1.15,16.39,10.56,39.72,25.03,0.070827323,0.136534966,18.61,3.84\\r\\nIndian Hume Pipe Company Ltd.,1645.53,186.06,86.31,-4.77,-0.025636891,17.75,20.78,0.91,0.92,11.29,5.25,20.21,23.49,0.102546427,0.195814229,10.54,0.97\\r\\nTimken India Ltd.,1664.08,288.64,148.64,248.78,0.861904102,14.55,21.67,0.02,0.92,13.55,8.93,5.06,25.51,0.123651659,0.32299025,21.78,3.28\\r\\nCRISIL Ltd.,1748.49,471.23,363.1,378.52,0.803259555,35.42,45.88,0,0.84,28.7,20.77,59.57,14.75,0.068913141,0.054997156,23.04,7.04\\r\\nGillette India Ltd.,1861.65,378.53,252.92,135.89,0.358994003,34.56,47.12,0,1.57,18.63,13.59,56.7,10.93,-0.011651341,0.390420216,53.06,12.36\\r\\nGE Power India Ltd.,1902.82,191.22,75.4,-241.02,-1.260433009,8.82,23.38,0,0.44,10.51,3.96,53.5,17.16,-0.021752743,-0.006008754,16.32,4.06\\r\\nGoodyear India Ltd.,1911.91,164.23,102.07,56.57,0.344455946,12.27,19.37,0,1.08,8.43,5.34,29.38,16.09,0.038478013,0.035866315,8.13,1.35\\r\\nTake Solutions Ltd.,2039,383.46,177.3,103.57,0.27009336,12.61,13.21,0.31,0.98,11.8,8.75,8.24,25.87,0.228057985,0.210953995,7.45,1.53\\r\\nPuravankara Ltd.,2050.49,440.36,114.35,-130.9,-0.29725679,5.46,10.53,1.56,0.26,24.46,5.66,20.74,9.4,0.041655896,-0.015303835,10.77,1.49\\r\\nPfizer Ltd.,2081.5,565.63,429.05,97.81,0.172922228,15.07,23.22,0,0.55,31.79,20.61,23.99,22.31,0.023529111,0.187761281,16.51,6.28\\r\\nINEOS Styrolution India Ltd.,2090.53,8,-12.47,-38.07,-4.75875,-1.97,-0.71,0.41,1.87,-0.28,-0.6,0,19.72,0.004905556,-0.373939351,10.35,0.63\\r\\nHeidelberg Cement India Ltd.,2133.35,483.34,220.66,392.87,0.812823271,19.9,24.83,0.44,0.82,19.52,10.34,41.08,20.14,0.008593684,0.692231803,8.58,1.71\\r\\nLinde India Ltd.,2191.65,325.28,25.69,380.34,1.169269552,1.32,5.04,0.81,0.64,6.19,0.88,49.79,13.19,0.080086931,0.044620303,16.27,2.03\\r\\nJohnson Controls - Hitachi Air Conditioning India Ltd.,2241.3,163.8,85.94,-81.01,-0.494566545,14.97,20,0.31,1.42,6.03,3.83,4.75,12.6,0.073381865,0.282121323,29.04,2.57\\r\\nJagran Prakashan Ltd.,2362.65,530.76,274.23,284.62,0.536249906,13.98,19.98,0.22,0.75,18.9,11.59,37.83,12.18,0.059461611,0.076909843,6.39,1.65\\r\\nHuhtamaki PPL Ltd.,2369.07,222.99,34.88,101.17,0.453697475,6.39,16.12,0.73,1.65,6.51,1.47,64.95,25.74,0.141007137,0.141194237,11.17,1.13\\r\\nJayant Agro-Organics Ltd.,2450.7,135.78,55.8,170.38,1.25482398,16.59,15.9,1.18,2.38,5.52,2.37,10.75,27.01,0.091620433,0.119511294,8.42,0.28\\r\\nSanofi India Ltd.,2770.8,622.9,380.6,373.9,0.600256863,18.18,28.76,0,0.61,22.03,13.74,50.76,20.63,0.069842144,0.142671921,18.1,5.11\\r\\nPage Industries Ltd.,2852.2,617.88,393.94,229.71,0.371771218,48.57,70.2,0.11,2.06,21.85,13.81,97.4,33.85,0.130740141,0.192509781,47.78,11.01\\r\\nWabco India Ltd.,2854.14,409.88,282.17,-340.6,-0.830974919,17.11,24.86,0,1.27,14.4,9.89,6.05,19.58,0.161868764,0.197928536,26.18,4.87\\r\\nAsahi India Glass Ltd.,2913.04,510.49,190.18,423.76,0.830104409,15.79,15.38,1.35,0.86,14.01,6.21,12.78,45.72,0.06774317,0.173836465,17.03,2.66\\r\\nAkzo Nobel India Ltd.,2918.4,342.1,211,139.2,0.406898568,17.41,26.35,0,0.85,10.97,7.23,51.87,13.68,0.029219284,0.122575656,14.72,2.72\\r\\nBata India Ltd.,2931.1,487.79,328.99,344.85,0.706964062,20.46,30.59,0,1.33,16.78,11.22,24.42,31.9,0.017013245,0.078830498,29.46,4.84\\r\\nProcter & Gamble Hygiene & Health Care Ltd.,2946.5,607.43,419.13,411.83,0.677987587,49.79,71.48,0,1.97,20.8,14.22,68.15,29.36,0.047710071,0.076305898,47.25,12.53\\r\\nBilcare Ltd.,2997.01,168.44,-455.08,205.62,1.220731418,-51.78,-6.38,5,0.92,-4.99,-15.12,0,39.21,0.021698198,-0.067753998,9,0.03\\r\\n3M India Ltd.,3024.65,536.5,366.18,252.98,0.471537745,29.3,44.49,0.01,1.38,18.56,12.11,0,15.34,0.1045146,0.369233985,40.09,8.57\\r\\nSKF India Ltd.,3034.53,485.86,335.77,180.98,0.372494134,19,28.68,0.05,1.29,17.53,11.06,17.67,23.26,0.046817162,0.132168116,16.05,3.23\\r\\nDCB Bank Ltd.,3041.49,156.38,325.37,-281.34,-1.799079166,11.99,13.04,0.95,0,78.87,10.7,9.51,51.62,0.164226175,0.651262023,13.19,2.04\\r\\nFinolex Industries Ltd.,3091.32,604.3,367.25,407.36,0.674102267,13.15,19.66,0.04,0.9,17.69,11.43,33.79,33.13,0.045390778,0.087869172,13.84,2.54\\r\\nGlaxosmithkline Pharmaceuticals Ltd.,3128.12,600.8,445.39,409.49,0.681574567,21.22,32.54,0,0.41,21.84,14.24,76.07,14.6,-0.014375915,0.044523571,39.83,8.22\\r\\nITD Cementation India Ltd.,3165.07,317.08,81.87,-134.12,-0.422984736,10.17,19.48,0.52,1.27,8.18,2.63,8.39,18.91,0.129851818,0.143054942,8.14,0.93\\r\\nBayer CropScience Ltd.,3167.3,480.8,337.1,432.8,0.900166389,16.83,24.41,0,0.72,13.97,9.6,18.32,16.53,-0.031813031,0.034959455,27.93,5.19\\r\\nBlue Dart Express Ltd.,3174.4,283.94,89.76,243.33,0.856976826,16.18,16.86,0.99,1.37,5.57,2.83,33.05,14.66,0.069179602,0.102746236,21.66,2.81\\r\\nHoneywell Automation India Ltd.,3174.74,482.76,358.84,308.77,0.639593173,22.73,35.46,0,0.93,17.68,11.3,11.09,10.7,0.057194123,0.324461208,37.07,6.34\\r\\nSobha Ltd.,3442.07,673.28,296.99,206.07,0.306068798,11.88,13.78,1.17,0.35,19.88,8.63,22.35,21.08,0.071150226,0.022433105,11.22,1.62\\r\\nAbbott India Ltd.,3678.6,604.05,450.33,499.13,0.826305769,24.66,37.88,0,1.38,19.06,12.24,30.67,20.31,0.099530687,0.177117958,21.2,4.51\\r\\nCastrol India Ltd.,3904.55,1070.77,708.36,549.48,0.513163424,65.56,100.6,0,2.16,25.61,16.5,69.82,34.41,0.028544365,0.092665486,13.27,4.2\\r\\nColgate-Palmolive (India) Ltd.,4462.43,1236.06,775.57,983,0.795268838,52.37,74.97,0.06,0.95,25.66,17.38,80.66,41.06,0.023043339,0.132329827,26.19,7.55\\r\\nSchaeffler India Ltd.,4561.51,697,419.8,238.2,0.341750359,16.74,24.79,0.02,1.32,14.02,9.2,22.34,13.34,0.228224328,0.305189437,14.26,2.87\\r\\nHexaware Technologies Ltd.,4647.76,736.13,583.46,548.7,0.745384647,27.6,33.14,0,1.73,15.68,12.55,43.32,25.2,0.124753857,0.090065622,14.56,2.73\\r\\nGlaxosmithkline Consumer Healthcare Ltd.,4782.01,1140.97,982.8,671.07,0.588157445,25.93,39.92,0,0.55,31.64,20.55,44.93,24.82,0.021096899,0.05505648,19.46,6.42\\r\\nOracle Financial Services Software Ltd.,4958.9,2076.07,1385.9,1379.61,0.664529616,29.84,47.01,0,0.83,45.72,27.95,0,14.51,0.048945351,0.082083951,14.84,7\\r\\nSterlite Technologies Ltd.,5091.78,1081.58,562.75,631.05,0.583451987,40.64,31.32,1.22,0.95,18.88,11.35,25.04,36.22,0.104550776,0.316912535,14.94,3.51\\r\\nWhirlpool Of India Ltd.,5397.65,642.17,409.74,402.48,0.626749926,21.1,32.25,0,1.92,9.65,6.18,15.48,21.27,0.103814831,0.248691387,28.11,3.97\\r\\nKansai Nerolac Paints Ltd.,5424.32,752.52,452.75,99.92,0.132780524,13.67,21.12,0.03,1.38,11.81,7.48,30.95,21.69,0.086232481,0.154670338,28.6,5.38\\r\\nAegis Logistics Ltd.,5615.82,368.73,221.39,556.3,1.508691997,19.4,20.92,0.17,2.51,5.85,4.49,21.12,33.08,0.074766446,0.27918085,24.95,1.52\\r\\nCummins India Ltd.,5697.31,864.62,742.61,549.21,0.635203905,15.47,22.14,0.07,0.97,17.43,11.41,63.46,25.88,0.029939218,0.04412418,22.56,3.99\\r\\nBASF India Ltd.,6025.67,149.49,81.72,-77.15,-0.516088033,5.94,10.46,0.65,1.57,3.94,1.36,26.49,18.58,0.050680529,-0.118539603,24.25,1.3\\r\\nThomas Cook (India) Ltd.,6603.25,82.06,84.82,252.81,3.080794541,0.42,1.46,0.04,0.53,1.97,0.54,16.39,18.27,0.152750658,-0.107082027,21.41,0.94\\r\\nMphasis Ltd.,7819.37,1323.83,1073.35,949.72,0.717403292,20.16,24.43,0.1,1.1,18.22,13.73,46.84,31.16,0.061753411,0.252301549,14.55,2.86\\r\\nMahindra CIE Automotive Ltd.,8103.3,1006,498.1,708,0.703777336,12.47,13.96,0.38,1.03,9.32,6.15,0,16.73,0.077857491,0.5603921,12,1.37\\r\\nDabur India Ltd.,8514.99,1739.56,1442.33,1499.13,0.861786889,25.88,27.49,0.13,1.09,19.07,15.46,33.68,25.24,0.016992527,0.084448706,36.31,8.89\\r\\nUnited Spirits Ltd.,9340.8,1393.6,700.2,948.3,0.680467853,24.88,21.17,0.93,3.18,4.33,2.37,0,34.22,0.000124233,1.619247194,33.16,5.14\\r\\nABB India Ltd.,10861.89,925.81,510.89,625.46,0.675581383,13.42,21.32,0,1.23,8.08,4.7,19.91,14.49,0.07031467,0.138111168,42.4,3.6\\r\\nNestle India Ltd.,11292.27,2616.62,1606.93,2052.45,0.784389785,45.3,70.93,0.01,1.51,21.85,13.82,69,33.22,0.027601963,0.059758454,35.86,9.17\\r\\nBosch Ltd.,12257.9,2163.5,1598.3,605.4,0.279824359,16.74,24.66,0,0.9,19.21,13.04,19.38,19.59,0.002828567,0.109177406,21.35,4.92\\r\\nSiemens Ltd.,12795.3,1354.7,901.2,99.8,0.073669447,11.27,17.98,0,0.67,11.23,7.04,27.65,16.88,0.036840878,0.249723154,21.69,3.01\\r\\nHindustan Zinc Ltd.,21118,10670,7956,8781,0.822961575,22.88,29.33,0.08,0.52,50.05,37.67,106.21,3.64,0.07386248,0.096592072,8.56,5.38\\r\\nAmbuja Cements Ltd.,26040.94,4010.79,2177.4,1703.41,0.424706853,13.75,14.27,0,0.71,11.81,11.37,13.68,27.31,0.211594961,0.193142775,8.4,1.7\\r\\nHindustan Unilever Ltd.,39311,8880,6054,5800,0.653153153,80.29,113.29,0.01,2.49,19.37,13.59,78.49,32.65,0.042194693,0.134532492,45.21,10.13\\r\\nITC Ltd.,48352.68,18425.39,12592.33,12583.41,0.682938597,23.8,34.39,0,0.73,38.53,25.72,55.98,38.98,0.044815118,0.07101871,18.71,7.96\\r\\nMaruti Suzuki India Ltd.,86068.5,10881.1,7649.1,6600.9,0.606639035,16.72,23.45,0,1.39,12.25,8.71,31.59,36.03,0.111205531,0.156447318,17.23,3.05\\r\\nVedanta Ltd.,92048,23070,7065,23754,1.029648895,15.49,15.4,1.07,0.49,20.91,10.54,99.25,30.62,0.045436332,0.033529593,4.75,0.86\\r\\nJayant Agro-Organics Ltd.,1580.717993,57.9732224,11.9940026,175.9062038,3.034266451,4.786541997,9.819513204,1.174563622,2.372331391,4.083516466,0.663235065,12.50625313,27.21,0.118243293,0.074898063,5.853698508,0.115150567\\r\\nEster Industries Ltd.,896.2676,71.1391,3.839,67.6882,0.951490812,1.477850907,7.275669122,1.250666216,1.391773875,7.534733061,0.390480256,0,27.82,0.177840993,0.032213719,5.273173564,0.134109285\\r\\nAllsec Technologies Ltd.,150.86,-9.14,-14.06,-5.98,-0.654266958,-19.94467693,-12.42885353,0.234336859,1.417124607,0.205488532,-9.319899244,0,19.18,0.022843968,-0.05620276,0.547382413,0.228164694\\r\\nJagatjit Industries Ltd.,831.42,-19.09,-43.08,6.35,0.332634887,-24.32989691,-5.620620083,1.728358014,1.533046075,-0.89602555,-3.473611201,0,11.35,0.041827303,-1.996890404,96.20383514,0.232953744\\r\\nAegis Logistics Ltd.,3915.9996,143.4339,103.4101,122.3392,0.852930862,28.88848847,26.31756773,0.510337122,4.296456871,4.741650127,2.867860354,24.22394553,26.58,0.665767577,0.147137464,10.26153349,0.238120897\\r\\nGP Petroleums Ltd.,407.2813548,14.162699,5.0260957,-17.7047555,-1.250097563,4.031246286,9.788504222,0.316150195,1.732204563,3.705702236,1.080458281,10.14393399,27.76,0.078087938,1.199231064,6.196159273,0.331106855\\r\\n3I Infotech Ltd.,1344,171.97,-976.27,-51.32,-0.298424144,0,-27.87223942,5,0.432931111,13.18080357,-31.56713525,0,40.47,-0.113051481,-0.188883501,18.68553345,0.364306285\\r\\nITD Cementation India Ltd.,1718.946,68.9374,19.4143,43.636,0.632980066,3.977397977,12.93419037,1.347837864,0.855372196,6.374231651,1.129430477,0,22.55,0.031756562,-0.129436682,9.650669927,0.367905693\\r\\nInfinite Computer Solutions (India) Ltd.,1737.43,191.196,112.883,104.663,0.54741208,15.38155304,18.45965076,0.074663884,1.266627374,11.41225834,6.497125064,0,19.05,0.212017884,0.107549509,3.35760848,0.385079567\\r\\nSaurashtra Cement Ltd.,562.7065,88.6826,67.6083,78.2004,0.88180094,35.01601942,34.88924849,0.052924452,1.512614519,15.34687133,10.74029517,0,18.07,-0.004085664,0.002821341,4.574182809,0.397942227\\r\\nKingfa Science & Technology (India) Ltd.,218.7924,6.4551,-3.0421,-0.8448,-0.130873263,-31.11549791,4.379829711,9.236607088,2.218070378,2.666712046,-1.232588537,0,20.74,0.149079266,-0.009085374,0.145896386,0.490654453\\r\\nDIC India Ltd.,722.199,-1.586,-30.89,2.357,1.486128625,-11.19482769,-10.79188438,0.135051404,1.58483691,0.104473112,-3.832748722,0,22.19,0.074446509,-1.519595671,7.87412828,0.538142098\\r\\nBlack Rose Industries  Ltd.,195.9563021,6.6963201,0.5291333,0.6086142,0.090887859,2.7835141,7.735338612,2.189952594,2.138914269,3.737586708,0.270026171,0,15.39,0.306459899,0.116744016,36.61008253,0.567139653\\r\\nINEOS Styrolution India Ltd.,2040.4183,85.701,18.9271,59.5035,0.694315119,3.887199317,9.070126328,0.348278444,1.749072473,3.979609612,0.825273547,37.16504999,17.24,0.295511207,-0.001302233,14.88651111,0.581120098\\r\\nGoodricke Group Ltd.,601.712246,35.2051887,22.2386927,21.9705833,0.624072306,10.69939687,14.94614539,0.037284282,1.099332288,7.532557179,3.692248971,43.70756724,24.84,0.101439497,-0.072726172,6.073001571,0.591028275\\r\\nShreyas Shipping & Logistics Ltd.,545.8833465,115.3281461,61.3837778,78.7678781,0.682989199,37.47645804,27.13785853,0.633954162,1.527554909,21.5149107,11.31163526,7.269475834,24.86,0.288021074,3.492677742,5.771365832,0.623825907\\r\\nIndian Hume Pipe Company Ltd.,1009.8593,109.7069,41.5673,-3.9221,-0.035750714,15.36117458,20.15298774,1.064933698,1.030849645,11.6674186,4.06621444,17.48261936,26.12,0.124984892,0.071603862,9.381173486,0.707972472\\r\\nBanco Products (India) Ltd.,1128.7584,102.137,87.6522,84.8428,0.830676444,14.51934914,17.12977958,0.057518334,1.334354622,13.17968542,7.450832118,24.47800651,23.87,0.196043285,-0.007104893,6.0235039,0.798121764\\r\\nNIIT Ltd.,957.382,25.429,-138.532,30.772,1.210114436,-23.8134623,-17.67067178,0.211890653,0.775922448,4.028381566,-17.45781726,0,44.2,-0.044065908,-0.302859363,12.70558209,0.802687041\\r\\nGoodyear India Ltd.,1582.85,155.77,101.24,99.38,0.637991911,22.13452562,34.30807744,0,1.592824954,10.82821889,5.911928384,22.78745232,17.43,0.092913721,0.048799652,5.15634234,0.806644694\\r\\nRicoh India Ltd.,1637.82,143.91,33.9,-222.41,-1.545479814,21.98514868,20.37242913,4.160854093,1.52353223,9.812433601,2.069824523,11.73156342,24.44,0.448855906,0.380656716,16.33571279,0.889876846\\r\\nSterlite Technologies Ltd.,3097.06,453.32,-2.64,392.66,0.866187241,-0.326943625,5.334296849,3.566687241,0.427329822,15.61276908,-0.109466732,0,37.61,0.049567623,0.03552321,22.16384302,0.905912486\\r\\nD-Link (India) Ltd.,640.8236831,33.8318759,21.8581708,1.897596,0.056088997,16.19095555,24.45560745,0.016846251,2.455032578,5.518018393,3.410957285,11.37029957,8.31,0.36997658,0.400870031,16.54643703,0.910858555\\r\\nSeamec Ltd.,350.49,70.8,122.008,90.789,1.282330508,23.00618298,24.04542638,0.021580344,0.557348504,49.7865845,34.8106936,2.778506327,23.67,-0.037745606,-0.205565813,5.301866555,0.940047187\\r\\nTake Solutions Ltd.,730.427,110.139,69.883,74.125,0.673013192,16.07847436,13.91156805,0.398212975,0.818886842,16.20791674,10.94305112,17.17150903,25.07,0.157345062,0.261640164,5.671660542,0.946852836\\r\\nVedanta Ltd.,73709.5,22114.36,-15645.77,17805.13,0.805138833,-17.97652718,-2.995443126,1.448022107,0.382293584,32.45999512,-14.71343772,0,19.97,0.61785543,0.481984727,5.439034387,0.951973989\\r\\nAndhra Paper Ltd.,1163.2421,95.4574,0.2478,128.2911,1.343961809,0.05976474,4.039442061,1.213208379,0.950172141,8.625598925,0.020134114,0,19.92,0.123690738,-0.079308632,18.85796854,0.969514721\\r\\nHuhtamaki PPL Ltd.,1225.3338,119.7982,66.6031,93.8312,0.783243822,14.38078294,17.57539711,0.074259199,1.700500707,9.8393871,5.223178602,30.56818677,23.02,0.162282147,0.109632836,9.721127782,0.999119636\\r\\nBASF India Ltd.,4705.76,130.43,-66.9,-96.33,-0.73855708,-6.22311109,1.232991873,1.547267963,1.073743903,2.803021686,-1.311985943,0,20.69,0.236656197,-0.053707547,26.96969582,1.007175039\\r\\nPanasonic Appliances India Company Ltd.,192.3534613,6.3759407,0.4143831,4.3347813,0.679865373,5.359697689,7.513276365,5.207470349,2.761382759,3.299228234,0.195340648,0,2.98,0.073226002,0.004512786,35.41885515,1.081561321\\r\\nHeidelberg Cement India Ltd.,2044.28,322.11,59.53,237.55,0.737480985,7.090069972,11.93707567,1.511364562,0.850212967,14.16685643,2.510352622,0,20.47,0.169005228,0.150926422,14.06827642,1.088117667\\r\\nAsian Hotels (North) Ltd.,232.4922,42.8501,-50.7151,-3.4432,-0.080354538,-8.680114912,2.942694846,1.872592598,0.111252826,31.7776703,-21.86637471,0,19.03,0.099002784,-0.038126625,10.05149251,1.092045573\\r\\nMahindra CIE Automotive Ltd.,5569.9,441.71,-78.07,322.26,0.729573702,-6.168075317,0.871572561,0.822357769,1.688823897,8.434816964,-1.360347675,0,19.18,0.332194706,2.197660305,29.44388361,1.11741101\\r\\nTimex Group India Ltd.,142.36,-7.91,-10.98,-8.12,-1.026548673,0,-27.87223942,5,1.1373458,-5.416234888,-7.585492228,0,25.07,0.009799322,-2.156112449,0,1.146334637\\r\\nAsahi India Glass Ltd.,2098.57,309.32,42.02,49.82,0.161062977,14.58421032,12.6302415,5.045546667,1.064310756,14.07819349,1.644203224,0,28.38,0.101664964,0.062802911,13.82362574,1.172007237\\r\\nGMM Pfaudler Ltd.,307.628,34.642,18.867,30.138,0.869984412,13.03874581,19.83766357,0,1.372799611,11.96917314,5.860645426,23.23898871,21.51,0.096868901,0.178417258,8.053622157,1.177169219\\r\\nKokuyo Camlin Ltd.,543.8793,16.7938,5.0256,8.3779,0.49886863,2.333040833,4.963997615,0.34143897,1.42299715,4.403747802,0.866752146,0,23.54,0.10450968,-0.08651772,65.15199577,1.201166646\\r\\nR Systems International Ltd.,648.4958614,90.6700523,78.1337458,72.4573762,0.799132397,35.11521353,50.75845967,0.004359128,1.601922473,15.38061754,12.04845712,95.43074338,12.4,0.14639027,0.397776746,6.497600259,1.208206015\\r\\nMorganite Crucible (India) Ltd.,110.0564943,19.4254004,5.7605978,2.8811543,0.148318914,9.328083331,18.20244237,0,1.206696179,17.55071048,5.011169777,4.860598048,23.64,0.108768782,0.056361869,5.326974831,1.234496291\\r\\nJohnson Controls - Hitachi Air Conditioning India Ltd.,1572.8404,137.8556,77.7629,54.6627,0.396521433,28.12872463,26.73657401,0.446010572,1.857635189,8.504825708,4.554829735,5.244962572,22.06,0.196681094,0.187100315,17.65845099,1.303658246\\r\\nXchanging Solutions Ltd.,286.95,0.71,25.11,0.59,0.830985915,8.615986412,11.00301569,0.006969328,0.694390669,8.496253703,8.750653424,0,6.71,-0.24795449,-0.553620909,8.074110512,1.341368498\\r\\nFinolex Industries Ltd.,2476.1493,211.0859,47.7783,212.2011,1.005283157,6.059050836,10.32608319,0.809067159,1.489785658,8.182307923,1.690013356,51.94670268,39.17,0.112210109,-0.042878577,10.76509385,1.375233921\\r\\nGE Power India Ltd.,2124.29,176.38,176.88,189.2,1.072683978,18.62247584,29.12341286,0,0.590928646,13.6993407,8.048157906,38.00879524,20.76,0.007994198,-0.067527459,12.02289155,1.439389988\\r\\nMphasis Ltd.,5794.805,869.824,674.639,616.455,0.708712337,12.75827827,16.49229745,0.105186084,0.81460224,18.41009318,11.64213464,49.83787118,18.98,0.063277859,-0.050600275,7.593409629,1.444388632\\r\\nPuravankara Ltd.,1672.34,385.81,132.73,329.75,0.854695316,6.205204307,9.931435538,0.793133191,0.311429388,24.42146932,8.226198022,27.69538648,9.4,0.284439303,0.179107974,8.02451223,1.461133676\\r\\nRhodia Specialty Chemicals India Ltd.,273.219,-15.5626,-20.4967,11.1653,0.717444386,-35.38785725,-17.6494915,0.968706867,1.845263544,-2.820009107,-6.822336397,0,4.39,0.234920629,-0.091654633,37.96642012,1.468698917\\r\\nFederal-Mogul Goetze (India) Ltd.,1579.8671,187.2914,39.5098,126.4571,0.675189037,11.17733815,17.57452999,0.414801016,1.70484732,11.99552024,2.9549169,0,7.95,0.150033462,0.070054303,12.77042302,1.510996048\\r\\nHonda Siel Power Products Ltd.,630.7277,69.5245,38.6239,42.902,0.617077433,12.47582891,19.21532634,0,1.149625465,11.72331747,5.854981211,15.75672058,26.09,0.153830799,0.125247775,12.94480979,1.524635251\\r\\nProcter & Gamble Health Ltd.,867.49,58.91,43.22,4.95,0.084026481,8.023539677,12.35647388,0,0.969397285,8.825232771,4.813560832,23.04488663,31.09,0.128912989,-0.006230496,12.95422604,1.578513493\\r\\nThomas Cook (India) Ltd.,3244.277174,241.587977,90.1507933,131.4296181,0.544023837,11.21281432,18.77895281,0.284233242,1.395701685,8.742537989,3.46264838,15.12630464,10.2,0.648739414,0.319138169,17.90118777,1.868433617\\r\\nSobha Ltd.,2440.561,617.305,238.014,-216.414,-0.350578725,10.32967903,13.68023895,0.84663245,0.420409394,25.78063005,9.947380311,28.84064718,21.46,0.166520957,0.201703159,8.901751744,1.870064377\\r\\nAgro Tech Foods Ltd.,759.742,60.864,36.922,40.937,0.672597923,12.38388639,14.48001582,0.082420314,1.898511674,8.008849616,4.85650285,13.20027457,22.09,0.031829408,0.186935291,20.79668809,1.892885443\\r\\nDCB Bank Ltd.,1422.4223,42.314,191.1832,-495.7333,-5.949630258,14.52557944,11.80909568,0.758683859,0,19.5052271,13.44067792,0,53.17,0.253859048,1.043073368,14.52158673,1.938172089\\r\\nMaruti Suzuki India Ltd.,50801.4,6775,3807.4,6449.2,0.951911439,16.5474912,21.42431386,0.027394894,1.699780448,13.7534053,6.762612774,19.82981262,36.63,0.114145063,0.140995456,14.92174791,1.996211333\\r\\nWhirlpool Of India Ltd.,3293.7828,331.2924,210.5096,299.9075,0.905265258,25.83421535,36.95978655,0,2.440745154,8.853320618,5.04670688,0,17.12,0.082602725,0.074807693,18.73252823,2.043243526\\r\\nClariant Chemicals (India) Ltd.,1046.0034,24.5399,943.3155,-59.6789,-2.431912925,95.75035482,120.0655717,0.006772486,0.813579207,3.409227746,84.20353981,11.02247657,32.56,0.025041734,-0.322856978,28.2340756,2.061509101\\r\\nElantas Beck India Ltd.,341.4452,42.1495,31.6063,30.6192,0.726442781,25.9140146,37.0652325,0,1.944390025,13.23599845,8.262920789,11.2871913,19.9,0.118340427,-0.003416696,13.96335128,2.106189498\\r\\nVesuvius India Ltd.,652.23,99.54,59.17,64.54,0.64838256,14.14754863,21.62181549,0,0.947336203,15.38861341,8.311677366,24.01553462,20.67,0.125278153,0.098300799,11.35097616,2.17348773\\r\\nEsab India Ltd.,551.85,51.01,23.64,16.42,0.321897667,8.498705781,11.18421053,0,1.680183754,10.35162723,3.917279777,6.510162363,15.4,0.055807089,-0.127317647,17.13522011,2.205300362\\r\\nSinger India Ltd.,284.9684,8.6755,6.402,3.6107,0.416195032,18.49393718,28.55887117,0,3.450773929,3.833284762,2.245136502,41.95193986,19.39,0.205809634,0.291979118,81.52000803,2.258735889\\r\\nLinde India Ltd.,1491.346,264.602,5.4,271.436,1.025827469,0.383794354,3.604454131,1.127039496,0.406147083,17.82128188,0.334392863,236.8919773,11.91,0.13151007,0.162938779,17.6296126,2.263572355\\r\\nHexaware Technologies Ltd.,2581.677,443.064,320.152,412.921,0.931966939,25.71795337,33.73219318,0,1.456721577,18.22361976,12.40093164,88.82472232,25.59,0.199758666,0.282684227,11.24125574,2.316948995\\r\\nNovartis India Ltd.,873.38,-7.8,79.11,-59.59,-5.949630258,8.058716269,9.517891885,0,0.430071882,11.86843851,9.047139818,40.39944381,23.8,0.069521192,-1.596614085,21.24844807,2.345613469\\r\\nFoseco India Ltd.,263.3648,39.3523,24.5902,25.2922,0.642712116,26.32142599,37.93195714,0.059358981,1.971950732,14.64498319,8.430320658,54.54063001,13.54,0.160100139,0.15120341,15.72575242,2.361281109\\r\\nJagran Prakashan Ltd.,1769.7618,446.3408,307.9694,438.527,0.982493646,29.40032084,28.15758345,0.571319484,0.713232927,27.03567226,17.40880609,36.05682556,18.06,0.134442728,0.095964056,9.92503506,2.389715059\\r\\nSaint-Gobain Sekurit India Ltd.,132.8619116,17.5623672,6.7481872,15.2219973,0.866739496,8.778665364,9.835151656,0,1.392112003,12.14109054,4.517884105,0,25,0.095738558,0.07103074,21.41468456,2.402168785\\r\\nABB India Ltd.,7733.27,571.75,228.51,479,0.837778749,8.325287729,14.72830179,0.131960398,0.85122496,7.233866746,2.801428482,34.31053346,14.96,0.043937939,0.008638942,53.96930865,2.539783431\\r\\nBayer CropScience Ltd.,3723.3,512.4,383,200.4,0.391100703,20.29031574,30.62619199,0,1.03994138,15.46029875,9.813215814,20.06788679,22.57,0.166467917,0.186378845,14.92474953,2.601052503\\r\\nSKF India Ltd.,2413.61,281.2,202.77,217.71,0.774217639,15.06642692,22.74936099,0,1.422067191,14.04359864,7.907421129,26.0048265,33.46,0.08968771,0.139199989,16.10065261,2.624351571\\r\\nExpleo Solutions Ltd.,214.1554154,37.1070328,21.6484628,33.4329604,0.900987168,20.63121741,29.08505187,0.094788044,1.378322522,18.14607019,10.10876272,116.9076892,38.44,0.209132174,0.311813894,11.92349462,2.647003352\\r\\nGrindwell Norton Ltd.,1135.3676,179.9653,103.2171,105.5134,0.586298581,17.8587681,26.1575171,0.024350748,1.375251323,16.26057997,8.54309601,34.86245421,26.57,0.100861786,0.081560164,15.63269934,2.693093352\\r\\nHoneywell Automation India Ltd.,2403.67,212.1,114.2,13.02,0.061386139,13.73553679,21.36826153,0,1.445689602,9.606664946,4.677586496,9.67600853,13.66,0.154278359,0.024790273,27.01576175,2.790960879\\r\\nSiemens Ltd.,10678.3,617.4,603.2,607.8,0.984450923,14.73063123,21.36576469,0,0.946800037,6.575145167,5.498582511,35.41118285,20.94,0.026942853,-0.102962172,34.60790297,2.979425655\\r\\nKansai Nerolac Paints Ltd.,3586.98,451.15,274.06,304.74,0.675473789,18.18151787,25.70855543,0.031958138,1.827667216,11.11764457,6.472591624,27.52900825,17.87,0.160193578,0.113387775,25.72446697,3.029832246\\r\\nAbbott India Ltd.,2289.3258,311.319,228.9593,214.7766,0.689892361,26.54017619,39.97547437,0,1.133747793,15.52858912,9.881628552,28.77054131,19.38,0.246420517,0.262661035,18.28256478,3.067160104\\r\\nKennametal India Ltd.,570.25,60.05,33.52,60.7,1.010824313,9.645626807,13.35481922,0,0.962462592,10.70560008,5.471134542,13.11455847,11.13,0.090019631,-0.070736529,28.99690852,3.150110615\\r\\nSchaeffler India Ltd.,1632.15,242.27,152.88,117.38,0.484500764,14.60855606,22.34761254,0,1.262240466,16.21550441,8.75300584,8.153453689,20.44,0.153945198,0.21764479,17.53119228,3.198188439\\r\\nTimken India Ltd.,928.9642398,133.7059916,80.6938981,42.4953687,0.317826959,19.66294384,29.73612152,0.005737396,1.215041382,14.43964238,8.343832929,25.27635481,21.75,0.240640684,0.265654081,23.72503531,3.310909046\\r\\nVST Industries Ltd.,836.1579,242.5695,152.2079,117.5393,0.484559271,45.52707718,68.42439323,0,2.212960153,15.12778452,8.833496365,71.01689086,20.66,0.121415303,0.240822986,9.782011911,3.354977997\\r\\n3M India Ltd.,1840.2976,203.7048,108.3416,177.3655,0.870698678,14.37711066,20.52841536,0.017716554,1.344212635,11.3171477,5.619671402,0,13.5,0.111073942,0.080293108,39.38660658,3.717983232\\r\\nAmbuja Cements Ltd.,9973.52,1928.27,1486.5,1675.46,0.868892842,15.24285608,18.7575615,0.003382458,0.839302071,20.89109034,13.20021028,52.12731576,33.56,0.072227335,0.00662243,15.43631018,3.730147455\\r\\nDisa India Ltd.,183.77,23.44,17.88,-9.97,-0.425341297,20.01791312,32.24361845,0,1.029659694,16.53022034,9.03577926,2.111297468,12.71,0.208497417,0.097125651,18.5822443,3.768919384\\r\\nAccelya Solutions India Ltd.,302.8236945,114.8360291,67.3970178,66.2846103,0.577210923,60.00982927,95.47312672,0,0.979824804,39.80814411,22.25619033,79.72839194,21.9,0.127867494,0.235399953,8.301301062,3.822526831\\r\\nUnited Spirits Ltd.,9334.989,32.996,-1687.715,-196.314,-5.949630258,-35.38785725,-11.1618053,7.561370763,1.986192818,0.509118548,-7.530726172,0,31.88,0.079691887,-0.459757896,89.48528738,3.825078239\\r\\nIngersoll-Rand (India) Ltd.,655.532,44.54,66.146,29.287,0.657543781,7.067548588,11.00787842,0,0.456043854,14.75088865,9.297102193,28.63483428,20.92,0.129518824,0.115379697,16.89188399,3.864488025\\r\\nBata India Ltd.,2693.995,351.05,231.341,118.762,0.338305085,25.61466232,38.38816775,0,1.912195142,14.40916453,8.450510265,18.0563079,39.78,0.197852723,0.234879728,21.18467664,3.87078237\\r\\nSanofi India Ltd.,1977.48,256.49,263.61,264.95,1.032983742,18.70363735,26.47216379,0,0.986626725,19.90501205,13.0144358,39.31375896,13.35,0.152058299,0.116627137,15.93401283,4.017903971\\r\\nPfizer Ltd.,1853.3184,379.3338,69.8193,113.4719,0.299134694,5.306585906,15.87024543,0.001268213,1.104220676,23.4148954,3.624460024,81.90375011,31.83,0.183045179,0.194588618,14.47804711,4.267224989\\r\\nMPS Ltd.,223.8716,79.963,61.4387,50.3583,0.629770019,35.32629648,53.68787846,0,1.122789807,40.70364441,27.44372221,66.6634345,24.7,0.063962401,0.482047993,11.9194252,4.794318305\\r\\nHindustan Zinc Ltd.,14788.39,7127.64,8178,5530.7,0.775951086,20.24992237,23.755229,0,0.355140976,63.77415516,50.79477866,22.7333788,5.54,0.130269809,0.088239003,7.051674576,4.964711461\\r\\nAstrazeneca Pharma India Ltd.,517.0694092,-11.4064908,-20.8397042,-45.70052,-4.006536349,-12.92984622,-12.92984622,0,1.269354017,-1.058724276,-3.969525707,0,9.48,0.054436224,-1.662995921,0,5.152591884\\r\\nDabur India Ltd.,7827.2,1316.41,1065.83,1047.21,0.79550444,36.35710932,34.28618986,0.290946749,1.263965558,18.64901339,13.51403995,32.96033224,24.25,0.182141068,0.161325974,28.9771957,5.245431876\\r\\nGillette India Ltd.,1973.5,185.27,158.13,171.93,0.927996977,22.82147496,36.16250541,0,1.759089761,14.58664046,7.968856301,30.91444941,16.6,0.18544637,-0.020035715,69.62566095,5.280639135\\r\\nHindustan Unilever Ltd.,31972.19,5409.52,4363.08,3291.91,0.608540129,117.0241617,165.6343071,0.010803159,2.438684455,17.63730439,12.90591373,74.37979592,32.77,0.124721518,0.164631183,29.60919893,5.468178151\\r\\nGlaxosmithkline Consumer Healthcare Ltd.,4307.5852,730.0842,583.5993,611.4709,0.837534767,29.73083046,45.33416569,0,0.857003109,21.01002607,12.88005931,39.63425761,23.89,0.17521843,0.186416353,22.9757072,5.63062067\\r\\nBosch Ltd.,12085.5,1981.3,1337.7,1396.3,0.704739313,19.61250027,28.27639161,0.015094596,1.152813576,19.73573062,10.3669547,19.95215669,20.67,0.202354248,0.258744158,27.40824369,5.671125746\\r\\nCummins India Ltd.,4916.08,815.21,772.02,589.49,0.72311429,33.11856021,40.67151122,0.00088707,1.217846292,19.31857672,14.30516733,50.26812777,32.73,0.115607155,0.091047346,31.50557766,5.775870867\\r\\nNestle India Ltd.,9854.84,2039.91,1184.69,1644.02,0.805927712,45.51283529,55.76225795,0.006897621,1.677643469,20.90013136,11.63963305,51.27467945,31.32,0.139506998,0.155136644,27.80460004,5.985147147\\r\\nCastrol India Ltd.,3392.33,716.72,474.56,547.6,0.764036165,76.0390963,116.7585323,0,2.727846303,18.73920405,11.62741125,78.16082371,23.37,0.079120177,0.044917425,26.00071149,6.034068196\\r\\nColgate-Palmolive (India) Ltd.,3981.9433,822.2368,558.9839,638.1513,0.776116199,81.5919292,113.9093213,0,1.634858131,20.18254304,13.18866889,58.38862006,37.78,0.152016998,0.134824956,29.88172828,6.172724738\\r\\nAkzo Nobel India Ltd.,2527,260,186.3,155.4,0.597692308,21.11287398,31.33499547,0,1.458467952,11.66214092,6.656424182,50.13423441,11.48,0.219059599,0.17456952,27.76548432,6.293134929\\r\\nWabco India Ltd.,1347.9634,203.3543,120.6604,124.1024,0.610276744,14.91274878,21.87461628,0,1.410409176,15.3180996,8.264080396,7.859910957,23.66,0.179180297,0.116020456,35.89576999,6.321919852\\r\\nBlue Dart Express Ltd.,2272.15,224.24,129.33,153.46,0.684356047,26.77022817,32.01316272,1.081136497,1.739638084,10.95306208,5.597341725,36.6968437,13.52,0.201473766,0.165366708,57.91658337,6.383726127\\r\\nNirlon Ltd.,238.9764,183.5555,32.576,204.9309,1.116451972,14.13656041,13.43881919,2.920716961,0.096357745,77.58092431,13.63147156,20.74803585,53.1,0.345373239,0.583474921,11.27829999,6.524242367\\r\\nOracle Financial Services Software Ltd.,3904.905,1459.211,1192.32,1060.391,0.726687916,19.51325371,29.96205151,0,0.345713436,48.62932645,30.53390543,471.9227267,15.31,0.063225837,0.114100566,9.987351464,7.153182365\\r\\nPage Industries Ltd.,1543.439642,320.4096291,196.0244074,166.9994214,0.521206001,58.01568946,62.42498638,0.40665866,1.543007773,21.28449862,12.69709736,40.96831301,23.09,0.348020648,0.374832857,34.79633194,7.563295128\\r\\nITC Ltd.,38834.81,14142.52,9663.17,9843.2,0.69600043,33.20727398,48.7228671,0.008485234,1.224889266,29.12114578,18.37005917,51.84312685,37.34,0.152058664,0.173964349,19.87902805,7.998363832\\r\\nProcter & Gamble Hygiene & Health Care Ltd.,2333.79,483.5,346.14,425.57,0.880186143,31.0219665,45.39653519,0,1.370246394,23.68998686,14.66757066,28.36755727,21.55,0.208744419,0.491617815,33.55701894,8.023067961\\r\\nGlaxosmithkline Pharmaceuticals Ltd.,3362.9083,574.5804,476.4109,337.6434,0.587634733,24.9513848,39.52723635,0.00170341,1.124528866,24.02335596,13.73314809,111.1211861,18.23,0.120051139,-0.002940122,30.55952748,9.048931328\\r\\nCRISIL Ltd.,1253.38218,388.4871207,268.4298387,264.6495793,0.681231282,35.25377738,49.38851299,0,1.063663868,32.88524351,21.41643969,53.1662615,15.88,0.184616569,0.14280182,30.48162381,10.58634742\\r\\nMultibase India Ltd.,70.3106522,13.9152938,9.876914,7.0848175,0.509138909,21.4241208,32.96571207,0,1.325852417,20.18991467,12.62365873,0,23.97,-0.014401271,0.252531251,21.17251412,4.599181422\\r\\nVoith Paper Fabrics India Ltd.,75.5268104,20.6624073,15.4694809,11.292522,0.546524993,10.05060285,15.30972914,0,0.448966537,34.08516112,18.37152432,11.35799974,24.79,0.080261892,0.128515947,5.851385598,3.52260349\\r\\nAsian Oilfield Services Ltd.,77.6676319,-25.0567376,-27.0555417,-1.1125639,-0.044401786,-49.39664406,-12.58676189,10.94292862,0.484718932,4.464437006,-34.83502849,0,37.75,-0.095463857,-2.348669096,47.85067631,1.058212932\\r\\nMorganite Crucible (India) Ltd.,109.8567585,23.9979909,9.9876856,19.2867822,0.803683203,15.102191,26.85397913,0,1.183981444,23.27528001,9.031800574,11.21381093,24.55,-0.078281048,0.091909574,6.381839641,1.310411052\\r\\nHella India Lighting Ltd.,125.1047,7.5572,2.5297,13.5011,1.786521463,11.52228323,8.167198625,0.37511542,1.875076009,6.42774085,1.779527659,0,0,0.053030006,1.330301004,11.84378946,1.119318457\\r\\nSaint-Gobain Sekurit India Ltd.,140.7626,21.9293,0.0012,10.649,0.485606016,0.001497509,0.561919836,0.014737518,1.486372853,15.18939924,0.000763194,0,25,-0.056119593,0.063371576,17.54654299,2.656322361\\r\\nDisa India Ltd.,142.73,12.67,10.6,14.5,1.144435675,9.799389849,15.28150134,0,0.91802797,12.40478781,6.784868463,3.561320755,12.57,-0.078903417,-0.097102961,26.18168016,4.023898\\r\\nStovec Industries Ltd.,162.1975599,35.2985636,21.8821966,22.9254198,0.649471748,33.42753363,51.02739725,0,1.2390345,21.92937499,12.42167652,27.67202265,27.46,0.065142792,0.307749068,13.75792606,2.953913086\\r\\nTimex Group India Ltd.,173.34,-2.86,-9.27,-1.42,-0.496503497,0,-18.71379665,5,1.342090147,-1.189202356,-5.290190036,0,25.07,-0.129268524,-1.687212228,0,2.020335129\\r\\nBlack Rose Industries  Ltd.,177.2092016,9.531095,1.6074954,5.6864434,0.596620157,8.013456284,11.78367277,2.008481886,2.013161017,5.667591812,0.907117342,0,15.54,0.002282416,0.087913553,20.63683313,0.559745691\\r\\nAsian Hotels (East) Ltd.,192.7340114,47.588296,6.4351637,40.4767492,0.850561012,-0.91578718,2.920523488,0.362854153,0.16085667,32.69551899,-3.695386065,35.55646922,17.87,0.031294254,0.140711956,10.00420966,0.981018353\\r\\nPanasonic Appliances India Company Ltd.,200.6716658,3.3564879,0.15,4.2311107,1.260576777,1.90881227,2.459010338,5.536046523,2.506387158,2.347438932,0.066906675,0,0,-0.116493257,-0.143512636,57.70967044,1.891567452\\r\\nAllsec Technologies Ltd.,233.38,33.89,30.94,34.81,1.027146651,40.46560293,41.52774606,0.085711162,2.019906526,18.81909332,13.25734853,0,55.18,-0.059432615,0.647758168,40.05976229,0.59108859\\r\\nSinger India Ltd.,239.3959,8.0198,5.9841,3.8518,0.480286291,15.87568148,24.12325733,0,2.499708901,4.097184425,2.497729375,44.88185358,17.45,0.150216692,0.068929351,101.700123,2.847684725\\r\\nAsian Hotels (North) Ltd.,240.716,69.7088,1.5898,54.3394,0.779519946,0.2796848,5.601284053,1.987192928,0.115334069,34.77233795,0.659560495,0,16.92,-0.169936934,-0.086041291,17.41398743,0.95941458\\r\\nMPS Ltd.,257.2099,89.5925,71.2365,48.8213,0.544926194,26.60361504,39.30936998,0,0.745413435,42.52569594,27.69586241,57.49465513,18.21,0.001848786,1.544812872,15.40848783,6.291348345\\r\\nExpleo Solutions Ltd.,264.1617362,54.0563671,36.8991232,57.698615,1.067378703,35.06149422,51.21924106,0,1.527900496,22.9128739,13.96838306,69.19675967,40.5,0.097561525,0.803658819,17.1594808,3.579343332\\r\\nXchanging Solutions Ltd.,279.48,27.81,29.2,27.77,0.998561668,9.166679747,12.11629395,0.004325623,0.651362249,15.39287248,10.44797481,0,6.71,-0.332899596,-0.10393759,11.0329109,1.383302362\\r\\nNirlon Ltd.,288.8563,223.3992,43.5664,205.2971,0.918969719,16.7393398,14.88845902,2.404631932,0.121418926,77.68489038,15.08237833,15.51390521,25.6,0.053873908,0.28920904,11.65761636,6.874323519\\r\\nGMM Pfaudler Ltd.,292.076,34.962,20.115,24.655,0.705194211,12.68021156,19.21857369,0,1.262778951,12.47834406,6.501629044,21.79716629,20.92,-0.056112766,0.154028662,8.894917432,1.267340794\\r\\nFoseco India Ltd.,292.1361,50.8516,31.7289,17.2628,0.339474078,30.68594607,44.59129228,0.032869315,2.093610169,16.16175607,9.722996834,53.34009373,13.54,-0.047128614,0.119960905,15.77128747,2.933301544\\r\\nOrient Green Power Company Ltd.,295.7212,24.7726,-336.5051,215.3628,8.693588884,-43.73090434,-4.03114336,2.777758066,0.093908356,12.53653779,-49.01917234,0,22.35,-0.066656049,-0.225825534,14.12966329,2.112602534\\r\\nKingfa Science & Technology (India) Ltd.,314.1681,26.6395,10.7995,19.2081,0.721038308,16.92840286,22.46950182,0.133291858,2.030938001,7.734067126,3.03360917,0,15,0.02312512,0.255829507,30.11797647,1.235603435\\r\\nAsian Hotels (West) Ltd.,319.1718,79.6322,-50.565,77.2227,0.969742139,-30.47022116,3.357167138,4.330277952,0.273653214,26.35232281,-19.1412292,0,30.54,0.03472007,0.11875466,14.88903125,0.491377065\\r\\nSeamec Ltd.,327.917,35.291,5.386,11.39,0.322745176,0.99568432,2.149623945,0.057137746,0.481192427,18.14727507,1.642488801,0,26.09,0.098770917,1.104557281,0.479484139,0.942657308\\r\\nAccelya Solutions India Ltd.,340.9817314,132.2,83.0228689,79.9680742,0.604902225,72.76087255,112.5796822,0,0.97909101,41.57685622,24.3481868,80.90322027,18.53,-0.050650113,0.250935565,11.55933494,4.659759316\\r\\nElantas Beck India Ltd.,344.1606,62.26,41.76,46.3832,0.745027868,27.17236716,40.29495797,0,1.805929939,17.56127464,10.80495569,9.492979941,20.48,-0.072690283,0.063224351,15.95894861,2.886506784\\r\\nGP Petroleums Ltd.,422.4990809,28.25,13.59,17.1796942,0.608151454,10.30481046,12.58155224,0.858568061,1.795282947,6.306009775,2.88822812,18.75226043,27.76,-0.103896387,0.081429411,11.99258392,0.699011235\\r\\nEsab India Ltd.,450.95,46.49,28.34,18.19,0.391266939,9.374948312,13.70846359,0,1.316654696,11.008748,5.725599531,5.430486944,15.51,-0.147362057,-0.114682172,19.49142302,2.128424231\\r\\nSaurashtra Cement Ltd.,529.7008,62.7377,43.7999,72.4169,1.154280441,17.88463121,27.83876351,0.073508273,1.35673136,12.81054251,7.3955611,17.91641738,25.19,-0.075753549,0.260960791,3.207753553,0.566068666\\r\\nAstrazeneca Pharma India Ltd.,563.7322648,16.4173198,5.258982,56.9885207,3.471243869,3.428619402,3.757633884,0,1.356002121,4.068858301,0.922727746,0,14.22,-0.138368705,-0.308400846,79.55227254,5.729974839\\r\\nKennametal India Ltd.,570.29,45.92,20.74,17.44,0.379790941,5.615194055,8.314494186,0,0.891783465,8.951519407,3.386620075,21.19575699,10.97,0.024189845,-0.198025412,26.49838064,3.05130512\\r\\nShreyas Shipping & Logistics Ltd.,595.5662923,77.2096904,49.1908241,53.7552713,0.696224412,23.01392611,16.80677321,0.863036008,1.294526011,13.82369657,8.310947218,5.917144541,22.89,0.093584644,0.204974532,9.851187167,1.860480274\\r\\nR Systems International Ltd.,605.0318613,72.3519371,97.8298375,44.8533354,0.619932751,42.90448216,56.07438628,0.005173564,1.386905753,13.58023619,16.16936954,50.92712208,12.5,0.008106647,0.280117111,8.398679135,1.394242628\\r\\nKokuyo Camlin Ltd.,614.1872,24.535,5.2356,12.3601,0.5037742,2.433514751,5.973955876,0.451595577,1.505344147,4.64949438,0.817830121,0,25.01,-0.030814006,-0.013161133,38.03742959,1.752935666\\r\\nIngersoll-Rand (India) Ltd.,653.837,37.666,60.834,66.77,1.772686242,6.192137022,8.390542115,0,0.523883035,13.1995362,8.708361367,31.13522044,19.05,-0.078779796,-0.081256204,22.35977966,3.988443347\\r\\nHonda Siel Power Products Ltd.,672.8055,87.1,48.83,101.0666,1.160336666,14.11989576,21.96799647,0,1.099511683,14.13165281,6.91493708,12.46346646,27.62,-0.036743487,0.14298782,13.74161552,1.952297795\\r\\nJagatjit Industries Ltd.,688.03,-21,-65.76,18.63,0.887142857,-49.39664406,-6.63022306,3.313528336,1.465071819,-1.189202356,-5.711999026,0,11.47,-0.19187267,-1.841526477,0,0.266914313\\r\\nNovartis India Ltd.,689.77,30.82,198.29,56.59,1.83614536,18.00582063,24.76623383,0,0.395926531,39.91448036,28.74184664,16.11780725,23.8,-0.144179689,-0.274984942,10.76578329,2.86663086\\r\\nVesuvius India Ltd.,699.72,125.47,73.59,53.96,0.430062963,15.71915284,24.11380846,0,1.092050597,17.76405946,9.604416544,17.24079359,20.04,-0.044863446,0.096759624,10.73391884,2.14579086\\r\\nD-Link (India) Ltd.,721.3312569,38.0719021,24.3750994,19.0608452,0.500653872,16.73046101,25.79582866,0,2.444993793,5.483152092,3.378759893,10.19622304,25.93,0.230039069,0.578268819,17.11074651,0.94204356\\r\\nGoodricke Group Ltd.,733.242,14.942,-12.14,68.318,4.572212555,-4.988734277,2.206034215,0,1.206398017,3.606443149,-1.652159239,0,25.99,-0.016623514,-0.256082659,9.412129592,0.55010384\\r\\nDIC India Ltd.,749.539,57.627,29.712,42.119,0.730890034,10.91961521,15.52890143,0.008751925,1.737883334,7.489314232,3.556376929,12.35729672,28.25,-0.074979967,0.096865683,14.96938989,0.709977673\\r\\nEster Industries Ltd.,770.8196,70.3877,4.5604,81.4712,1.157463591,1.661519505,7.373250002,0.977386443,1.198462009,8.947142015,0.54251996,0,18.85,-0.105136168,-0.205563983,9.260935345,0.426367693\\r\\nAgro Tech Foods Ltd.,782.09,56.264,23.191,-18.495,-0.328718186,7.124534191,10.6084514,0.283651223,1.680195966,7.272195964,2.959334198,21.01591134,23.69,-0.115100723,0.136243568,23.10319644,1.829202463\\r\\nVST Industries Ltd.,883.1492,237.4034,153.1122,132.1246,0.556540471,43.02094217,63.66330801,0,2.549651186,12.48675832,7.421846333,70.59744423,19.06,-0.053576412,0.107376935,10.04771914,3.072003037\\r\\nIndian Hume Pipe Company Ltd.,938.9391,96.9603,29.0997,45.7428,0.471768342,9.805521812,14.81073521,1.036492642,0.874067369,10.47605637,3.050960051,26.63780039,26.7,-0.071991694,0.074693494,9.860686574,0.870840596\\r\\nProcter & Gamble Health Ltd.,939.5,83.44,53.56,83.47,1.00035954,9.348518567,14.54466117,0,0.713634665,10.96007146,5.499029764,23.24495892,36.18,-0.0159523,0.024885519,12.57862878,1.477404362\\r\\nNIIT Ltd.,1006.852,69.492,67.236,69.581,1.001280723,0.488142095,3.310315695,0.242124745,0.749951864,7.824486618,0.372050709,0,46.93,-0.166079221,-0.151105584,31.78247999,1.211585182\\r\\nTake Solutions Ltd.,1030.131,163.779,119.654,148.125,0.904419981,21.61359392,18.78376901,0.53299753,0.964660459,17.91344984,12.12156512,10.03310926,31.28,0.005834185,0.096428466,10.03805717,2.06214302\\r\\nTimken India Ltd.,1050.829,162.224,91.813,101.449,0.625363695,18.96029362,29.23463392,0.008131615,1.177612358,15.14342643,8.273953444,7.405160489,21.71,0.025642824,0.2035009,26.02823281,3.930337559\\r\\nRicoh India Ltd.,1067.08,-328.72,-1117.73,-1481.84,-4.507909467,0,-18.71379665,5,0.622554382,-5,-49.01917234,0,24.52,0.124587652,-2.636800253,71.62942559,1.631308334\\r\\n3I Infotech Ltd.,1125.58,101.5,-548.96,199.06,1.961182266,0,-17.58177921,5,0.58201091,9.648359068,-49.01917234,0,73.85,-0.261940968,-0.275305994,16.16992023,0.220124148\\r\\nClariant Chemicals (India) Ltd.,1139.9573,64.3277,59.3694,-148.4368,-2.307509829,5.748829948,7.171920886,0,0.895432639,10.13012112,4.83224446,583.1741604,33.17,-0.102957038,-0.163448352,26.69426926,2.134378609\\r\\nGrindwell Norton Ltd.,1150.5732,183.5128,105.2311,139.1968,0.758512758,15.52341371,23.31829241,0.020006207,1.222758463,16.61125776,8.574865696,34.19521415,25.04,-0.063063287,0.059913972,19.41039166,3.496000506\\r\\nAndhra Paper Ltd.,1159.8095,130.3005,36.8931,111.3325,0.854428801,8.530248798,10.48469726,1.056705723,0.951633197,11.2748301,3.033346661,0,13.95,-0.058000247,-0.02400111,14.12583639,0.993167991\\r\\nBanco Products (India) Ltd.,1204.2943,146.3314,89.8893,68.4965,0.468091606,13.76120623,17.80454764,0.052799973,1.421764937,12.46970041,7.122408767,36.59891667,28.65,-0.071422264,0.05697337,5.772909836,0.757813538\\r\\nFederal-Mogul Goetze (India) Ltd.,1330.8877,175.663,47.5963,191.7645,1.091661306,11.20699778,17.31895109,0.355232621,1.347079561,13.34825269,3.743757079,0,9.16,-0.065327082,0.102269596,14.95709731,1.790664803\\r\\nJayant Agro-Organics Ltd.,1375.452503,73.0381759,24.2838777,11.8156365,0.161773434,10.87130344,13.25034076,1.117030796,2.236100321,5.608054474,1.824977547,23.16344746,34.36,-0.103984407,0.030922106,6.387822986,0.111917341\\r\\nCRISIL Ltd.,1379.936911,399.5996728,285.1518143,270.3891831,0.676650161,33.46643092,47.61417774,0,1.091154114,32.09005726,20.66411964,57.43640008,18.02,0.018855753,0.131857102,32.8174634,10.54389967\\r\\nLinde India Ltd.,1566.629,229.655,23.457,242.382,1.055417909,1.687834453,3.15545718,0.997707428,0.447526102,15.3590308,1.377921188,27.26819286,11.5,-0.044932338,0.066331341,15.23840273,1.864715472\\r\\nEros International Media Ltd.,1582.68,321.38,238.67,1170.46,3.641981455,15.12634973,17.45836599,0.210569873,0.467601073,23.11901332,15.29494276,0,24.14,0.022804021,0.154651607,9.331777294,2.110096885\\r\\nINEOS Styrolution India Ltd.,1583.9033,96.0221,63.83,28.4776,0.296573393,12.38832699,10.92613931,0.322414443,1.75174438,5.563253617,3.595370078,11.0202726,15.88,0.013015048,-0.032005247,15.08368298,0.589796255\\r\\nPuravankara Ltd.,1584.04,339.88,82.85,14.03,0.041279275,3.698454686,8.711624862,0.951229126,0.278602905,24.40784324,5.304790283,22.34213088,11.35,0.057198959,0.037840485,8.106920356,0.895046154\\r\\nJohnson Controls - Hitachi Air Conditioning India Ltd.,1640.5361,122.7281,49.9772,61.5496,0.501511879,14.90011548,16.26771389,0.448088694,1.583463799,6.92417738,2.779284992,8.161000212,20.53,0.014312166,0.158988002,26.75012087,2.262085297\\r\\nHeidelberg Cement India Ltd.,1648.35,231.17,35.39,256.94,1.111476403,4.034979705,7.518885193,1.160995832,0.70511858,13.23698276,1.84715437,0,22.11,-0.009746014,0.185017891,11.11846453,1.00701548\\r\\nDCB Bank Ltd.,1698.4635,40.6585,194.5237,219.6153,5.401460949,11.8815491,11.61130797,0.659552583,0,20.54962618,11.45292201,0,57.95,0.096300911,1.083139742,14.21572384,2.005638447\\r\\nGE Power India Ltd.,1710.55,-175.69,-58.04,62.02,0.353008139,-6.447098028,-7.023604554,0,0.447049997,0.49382716,-3.302042442,0,17.26,-0.114990465,-1.907703212,14.23069887,2.127814967\\r\\nSchaeffler India Ltd.,1724.43,305.8,197.48,181.86,0.59470242,16.50597828,24.77819151,0,1.208867253,19.38268432,10.57490468,8.416042131,29.82,-0.036814878,0.114792436,20.22428369,4.092376793\\r\\nGoodyear India Ltd.,1730.33,196.05,119.76,9.33,0.047589901,21.6660184,33.92280486,0,1.592093095,12.58585174,6.441099117,23.11623246,19.06,-0.077818217,0.118347806,4.869522076,0.865014335\\r\\nPage Industries Ltd.,1795.599,376.25,231.52,219.165,0.582499887,50.51517195,61.93411966,0.179091098,1.741309062,21.49291605,12.88906902,40.95085069,23.44,0.128029051,0.325437758,43.18110887,9.23053013\\r\\nWabco India Ltd.,1832.4583,286.57,203.37,242.1614,0.845027536,21.06569177,28.01861305,0,1.516678593,16.33854094,10.17084743,5.595987609,22.68,0.005258052,0.073897286,43.28498565,7.970995844\\r\\nGillette India Ltd.,1842.52,326.61,214.18,279.42,0.855515753,25.5435366,39.77700481,0,1.426752031,19.54847263,11.49644929,60.1343589,15.42,0.119677899,0.215695679,55.24412907,7.941166367\\r\\nSobha Ltd.,1943.198,442.925,138.065,388.4,0.876897895,5.405152259,9.04146041,0.850076399,0.275197227,24.39021648,6.901722671,14.20548292,15.42,-0.069718214,0.042312193,9.036752777,1.442393752\\r\\nPfizer Ltd.,2012.3406,432.8771,304.9813,345.4813,0.79810482,14.74583535,22.78485683,0.001156552,0.770528779,24.82935247,14.56620008,22.50024838,26.91,0.09948224,0.099655179,20.01884634,5.360695879\\r\\nHuhtamaki PPL Ltd.,2037.3828,234.7636,76.9317,316.2549,1.347120678,13.33647284,18.0984191,0.858280858,1.736714122,11.33767618,3.584700447,26.46420136,23.48,0.072963934,0.280703306,9.984116314,1.086553639\\r\\nJagran Prakashan Ltd.,2079.2405,586.743,350.8233,424.5166,0.723513702,22.18912293,25.89336858,0.362551476,0.777717023,30.79706268,14.75447886,0,12.03,-0.03166536,0.106634125,8.821462105,2.475869782\\r\\nInfinite Computer Solutions (India) Ltd.,2108.3,192.834,121.034,198.112,1.027370692,14.21416848,17.56713229,0.076335819,1.323606503,9.89584025,5.740833847,0,15.8,0.036002374,0.052161844,3.471530154,0.426758504\\r\\n3M India Ltd.,2139.5971,336.4459,194.7616,260.9009,0.775461672,21.69088021,33.53176899,0.01129434,1.533809064,15.93154399,8.758218801,0,11.94,-0.02130312,0.165801628,42.31296361,5.860921539\\r\\nSterlite Technologies Ltd.,2143.99,406.68,153.71,214.67,0.527859742,17.58804202,7.956939784,1.475237564,0.413807656,20.67028301,7.02416852,25.71075402,38.57,-0.138737726,0.08899991,16.00515985,1.05023346\\r\\nHoneywell Automation India Ltd.,2187.62,215.13,141.19,166.37,0.773346349,14.83181713,24.0939555,0,1.129701623,11.01763199,6.355529748,6.261066648,10.22,-0.041593616,0.085378701,34.23064373,3.661092598\\r\\nSanofi India Ltd.,2193.1,335.1,321.5,213.2,0.636227992,20.68069395,30.95993156,0,0.968393056,22.76071158,14.334121,46.5007776,24.79,0.002128873,0.18543622,19.15276498,4.501746623\\r\\nAsahi India Glass Ltd.,2208.87,392.1,86.95,230.18,0.587044121,25.82716827,16.95283995,3.726790001,1.111233948,16.34710255,3.372689601,16.77523975,22.34,-0.06646717,0.08343756,14.14022538,1.734093503\\r\\nAegis Logistics Ltd.,2213.2176,185.3417,113.3298,138.4154,0.746811969,27.07305939,25.45850411,0.373310269,2.411112162,8.755506011,5.699385365,26.52435635,25.66,-0.093830099,0.178340943,16.95142018,0.98877578\\r\\nProcter & Gamble Hygiene & Health Care Ltd.,2275.39,605.83,422.5,352.46,0.581780367,29.37168917,44.56024385,0,1.145594328,29.51876211,17.9852287,27.65822425,27.76,-0.222779448,0.29944816,33.49274001,8.719987738\\r\\nBata India Ltd.,2422.707,289.841,217.39,203.642,0.702599011,19.62607626,28.19802845,0,1.538146749,12.88535583,8.851701527,20.6931618,32.84,-0.010308302,0.12643411,17.68045291,3.225447979\\r\\nBlue Dart Express Ltd.,2562.94,406.23,196.23,360.96,0.888560668,57.12668698,47.85441506,1.03503535,1.646937864,17.20758192,7.679852045,36.27885378,19.09,0.021903835,0.212947388,63.33419631,6.87245395\\r\\nBilcare Ltd.,2602.8553,206.4517,-84.8588,176.9197,0.856954435,-9.087470984,-1.400342337,2.97691538,0.665382959,8.939478705,-3.103514499,0,51.63,-0.106598603,-0.097739753,9.141271403,0.043817348\\r\\nAbbott India Ltd.,2614.5043,363.7329,255.25,248.6764,0.6836786,23.93200666,37.55392671,0,1.388304865,15.6853137,9.647942879,29.13714006,19.59,0.047434224,0.392609396,24.75235928,4.240972842\\r\\nAkzo Nobel India Ltd.,2640.1,303.5,214.2,263.2,0.867215815,20.10125703,29.65170493,0.002496556,1.738210574,12.27382697,7.298872116,152.6143791,27.04,0.037749632,0.182079235,30.54735697,6.915712247\\r\\nBayer CropScience Ltd.,2769,434.1,315.1,206.5,0.475696844,16.2745655,25.39059474,0,0.742709525,17.86876168,10.90537828,19.0986987,22.45,-0.08317701,0.146540715,20.43866506,4.177780933\\r\\nGlaxosmithkline Pharmaceuticals Ltd.,2837.9121,478.2765,376.1396,138.8991,0.2904159,18.74967116,28.81868238,0.000730563,0.591369501,21.19351054,13.25409621,112.5951641,16.74,-0.079839807,-0.065976899,36.98227286,10.72383298\\r\\nFinolex Industries Ltd.,2843.1239,404.4371,257.7717,569.0044,1.406904559,15.54768536,23.14337785,0.133005265,1.343345879,13.82971927,7.717243397,48.14159196,37.88,-0.063905002,0.129822644,10.65536508,1.590080098\\r\\nSKF India Ltd.,2997.28,361.36,255.89,26.18,0.072448528,16.61208075,25.0800281,0.039048655,1.592895757,14.34716983,7.93090944,30.90973533,31.39,-0.062411788,0.075932114,17.40111086,2.841875756\\r\\nITD Cementation India Ltd.,3070.949,162.402,-59.3076,465.0552,2.863605128,-11.02338657,4.35098213,1.18207457,1.340865826,6.96039563,-1.93124666,0,19,0.014009379,0.029575982,13.15044998,0.551715733\\r\\nHexaware Technologies Ltd.,3123.523,536.816,393.21,393.196,0.732459539,29.12132776,37.13377531,0,1.674341277,17.73551852,12.58866991,66.33954503,25.42,0.081703797,0.558540972,14.40300667,2.66970189\\r\\nCastrol India Ltd.,3298.03,894.88,615.26,740.01,0.82693769,114.7455683,177.5063177,0,2.634205993,24.72745515,15.35585572,72.34377763,22.65,-0.096223432,0.04297663,22.91759137,6.49924458\\r\\nWhirlpool Of India Ltd.,3439.94,383.53,240.02,343.77,0.896331447,23.20816024,34.91860223,0,2.211677194,9.679034346,5.293628546,0,18.15,-0.086430677,0.080160173,20.71105399,2.687443627\\r\\nKansai Nerolac Paints Ltd.,3766.87,583.75,900.99,391.71,0.671023555,43.88189965,51.29041073,0.018365403,1.657090228,13.14303652,19.39397718,18.2426553,19.39,-0.025331123,0.149615967,27.98285454,3.686344284\\r\\nMahindra CIE Automotive Ltd.,3865.32,363.17,76.72,679.63,1.871382548,3.94555829,4.627639282,0.540923599,0.812036271,9.795986722,1.917654822,0,20.76,0.00084455,0.150923925,18.28469553,1.348003103\\r\\nColgate-Palmolive (India) Ltd.,3868.1934,938.528,581.1718,688.7277,0.733838202,64.93719965,92.73926008,0,1.423553779,22.48818702,13.36299424,46.79958663,40.89,-0.032889712,0.127719862,28.40558145,6.624248596\\r\\nOracle Financial Services Software Ltd.,4131.217,1595.025,1048.893,712.306,0.446579834,26.27830818,43.05501167,0,0.496913728,44.11445828,25.38980644,80.74226828,25.7,-0.071730193,0.070531218,15.22649439,7.99569311\\r\\nGlaxosmithkline Consumer Healthcare Ltd.,4136.2702,838.1609,687.2796,573.4591,0.684187368,27.98516697,42.97835663,0.004554071,0.740455325,24.44299954,15.05746852,42.83389017,27.54,-0.021548137,0.173440692,22.83262029,6.166463704\\r\\nCummins India Ltd.,4720.16,770.13,721.32,695.54,0.903146222,18.76369869,24.14186107,0.000831278,0.921334937,17.46342707,12.32243009,53.80145725,38.93,-0.102044749,0.001759604,26.1751005,5.462158767\\r\\nBASF India Ltd.,4747.21,105.74,-30.37,198.86,1.880650653,-2.824827227,4.615619926,1.208967662,1.200275116,2.107306441,-0.588928836,0,21,-0.049773059,-0.100730376,59.14786917,0.948038607\\r\\nMphasis Ltd.,6080.781,887.829,631.51,730.809,0.823141618,11.17012531,14.77814314,0.078924807,0.849428103,17.92527966,10.38529426,66.56679973,27.05,0.038402583,-0.068444721,7.814732283,1.541232202\\r\\nThomas Cook (India) Ltd.,6093.925,184.411,-77.89,383.248,2.078227438,-4.618126299,4.654479826,0.856106591,1.518790081,4.061536694,-0.960317037,0,19.99,0.571449762,0.218430077,28.48237173,1.770432724\\r\\nDabur India Ltd.,7779.66,1518.28,1251.15,1186.99,0.781799141,33.97085697,34.54027108,0.19416876,1.084503917,22.05516237,15.93514615,31.63489118,26.22,-0.01068667,0.146259623,30.64423161,6.041222304\\r\\nABB India Ltd.,8140.27,721.28,299.88,381.67,0.5291565,10.30421628,17.10406973,0.19943162,0.96785626,8.477516233,3.458544293,26.14471453,14.38,-0.083290934,0.480652395,40.57199465,3.304728094\\r\\nNestle India Ltd.,8175.31,1583.15,563.27,1098.1,0.693617156,19.92095561,28.70238127,0.006292053,1.424928795,19.961615,6.640392904,83.02178766,30.51,-0.081555411,0.051556889,29.43603019,6.415819181\\r\\nUnited Spirits Ltd.,8494.9,964.6,138.3,282.7,0.29307485,12.50100252,14.29568124,2.594543341,3.001345787,4.214724362,0.599475772,0,32.57,-0.104513005,-0.033526352,445.0459455,4.960430697\\r\\nAmbuja Cements Ltd.,9451.37,1542.26,807.88,1556.55,1.009265623,7.946830952,12.40269666,0.00340752,0.770009243,17.57591661,7.491100678,53.78719481,23.5,-0.084480173,-0.032896943,13.91678016,3.407100134\\r\\nSiemens Ltd.,10563.1,996.9,1174.4,574.4,0.576186177,24.74400573,36.09523409,0.004924087,0.800321476,10.62352693,10.77026073,30.3133515,18.69,0.016294672,-0.055831497,49.79763073,4.223170642\\r\\nBosch Ltd.,10683.1,1904.3,1533.6,1317.7,0.6919603,16.07465256,22.15249353,0.005248352,0.908545751,21.95367485,13.40558143,17.40349659,19.94,-0.043785253,0.125784023,25.31504742,6.109575631\\r\\nHindustan Zinc Ltd.,14181,6652,8175,6451,0.969783524,20.25066985,21.40254282,0,0.310224799,60.88727931,52.86813684,143.6759332,35.08,-0.067184378,0.034745006,6.042363218,4.378838967\\r\\nHindustan Unilever Ltd.,32303,6013,4151,4171,0.693663729,79.1324346,111.8869485,0.027105666,2.407323787,18.53280742,11.97708231,83.2570144,31.24,-0.042059147,0.174647368,30.20055011,5.732479504\\r\\nITC Ltd.,39192.1,14469.88,9344.45,9799.04,0.677202575,25.95095082,39.96425677,0.002019855,1.128259666,29.06986205,17.2398362,73.19981379,36.71,-0.027903655,0.134783537,16.26103889,6.679109173\\r\\nMaruti Suzuki India Ltd.,57589,8828.5,5496.1,8482.5,0.960808744,19.58080911,27.03670867,0.007541808,1.686618551,15.92691862,8.260899617,19.23181536,33.45,-0.049709068,0.191185784,16.13662842,2.437058611\\r\\nVedanta Ltd.,64261.76,15064.25,-12270.47,20376.92,1.352667408,-36.55328523,-18.71379665,1.539034682,0.360710079,28.81944255,-26.27137527,0,26.87,0.259526114,0.238764423,4.874759331,0.504253203\\r\\nVoith Paper Fabrics India Ltd.,81.52,25.19,17.68,14.72,0.584358873,10.45,16.06,0,0.42,30.16,19.62,9.94,24.79,0.084139498,0.158518729,5.12,3.1\\r\\nMorganite Crucible (India) Ltd.,111.37,28.34,14.52,25.07,0.884615385,20.1,32.15,0,1.07,22.09,13.81,15.42,25,0.022837139,0.056521392,5.41,1.57\\r\\nSaint-Gobain Sekurit India Ltd.,123.47,15.82,6.77,7.16,0.452591656,8.12,12.54,0.02,1.36,7.69,4.88,0,25,0.034499799,-0.014539384,18.39,2.82\\r\\nDisa India Ltd.,164.74,15.23,11.29,12.56,0.824688116,11.23,18.27,0,0.98,10.14,6.23,3.21,13.08,0.013088141,-0.139374156,30.49,4.57\\r\\nStovec Industries Ltd.,194.64,39.33,24.94,27.69,0.704042715,30.67,46.9,0,1.15,18.07,11.82,25.95,27.46,0.2646502,0.473991504,10.67,2.66\\r\\nAsian Hotels (East) Ltd.,195.21,43.15,-3.5,36.8,0.852838934,-0.45,1.94,0.19,0.18,9.97,-1.79,0,18.1,0.179773584,0.104761118,8.13,1.17\\r\\nTimex Group India Ltd.,200.11,1.54,-3.27,-23.02,-6.18426501,0,-1.77,3.15,1.73,-0.19,-1.63,0,23.99,0.017470465,-0.294800487,55.51,2.49\\r\\nSeamec Ltd.,207.57,-112.46,-148.86,12.55,0.111595234,-35.72,-32.2,0.05,0.35,-14.36,-26.65,0,27.13,0.026900761,-2.576652111,1.4,0.73\\r\\nBlack Rose Industries  Ltd.,241.73,14.7,5.02,6.78,0.46122449,21.69,19.43,1.65,2.49,5.24,2.08,10.16,15.82,0.209448655,0.371446385,15.51,0.64\\r\\nAsian Hotels (North) Ltd.,250.53,81.08,-16.18,85.49,1.054390725,-2.9,4.2,2.1,0.12,28.42,-6.45,0,17.87,-0.066538262,-0.044073632,15.71,0.87\\r\\nExpleo Solutions Ltd.,259.95,41.36,23.81,42.28,1.022243714,20.19,31.52,0,1.48,14.32,9.16,107.64,42.82,0.164409158,0.263204141,14.2,3.26\\r\\nNirlon Ltd.,287.66,221.76,51.08,217.24,0.979617605,15.75,16.25,1.63,0.16,54.24,17.76,13.23,17.94,0.158529626,0.220864923,11.01,6.72\\r\\nMPS Ltd.,288.7,93.27,70.42,44.67,0.478932133,22.45,32.75,0,0.67,35.58,24.39,0,23.44,0.086120813,0.363189259,11.19,4.74\\r\\nXchanging Solutions Ltd.,307.27,9.14,18.28,37.63,4.117067834,5.35,5.84,0,0.68,6.51,5.95,0,8.04,-0.110499659,1.168599213,14.98,2.56\\r\\nAllsec Technologies Ltd.,318.12,62.72,61.72,70.3,1.120854592,51.21,51.68,0,2.08,20.27,19.4,0,22.61,0.116764379,2.295382961,7.57,1.57\\r\\nFoseco India Ltd.,339.51,54.91,33.08,32.02,0.583136041,28.37,43.53,0.01,2.22,13.65,8.69,44.4,13.54,0.07828332,0.063804287,15.06,2.64\\r\\nGMM Pfaudler Ltd.,353.03,47.51,31.36,22.46,0.472742581,17.39,25.06,0,1.25,11.95,8.29,18.64,22.59,0.069376628,0.215547246,14.01,2.04\\r\\nAsian Hotels (West) Ltd.,364.25,108.17,-25.44,82.76,0.765091985,-20.13,7.7,5.74,0.32,19.49,-8.57,0,34.67,0.218381082,0.214707205,11.23,0.64\\r\\nElantas Beck India Ltd.,365.25,78.65,54.49,55.86,0.710235219,27.69,41.21,0,1.56,19.79,13.3,6.55,20.28,0.063107731,0.175977815,15.94,3.43\\r\\nAccelya Solutions India Ltd.,367.4,144.9,97.25,92.62,0.639199448,66.13,102.57,0,0.9,41.06,26.47,78.28,18.72,-0.034331092,0.191171974,12.62,5.53\\r\\nSinger India Ltd.,368.51,10.86,7.62,-6.63,-0.610497238,16.59,24.61,0.06,3.48,3.18,2.07,49.32,19.11,0.187692242,0.065320222,67.46,3.04\\r\\nEnkei Wheels (India) Ltd.,406.72,33.48,2.61,16.55,0.49432497,11.44,12.33,1.6,1.94,2.6,0.57,0,15.21,0.078134422,0.189592309,9.09,0.59\\r\\nKingfa Science & Technology (India) Ltd.,427.13,19.32,12.4,-119.48,-6.18426501,9.9,9.44,0.32,1.52,4.11,2.57,0,16.99,0.232638921,0.166194125,32.46,2.51\\r\\nOrient Green Power Company Ltd.,448.37,280.72,-94.19,306.15,1.090588487,-14.36,6.47,3.3,0.15,38.61,-21.39,0,19.67,0.123525935,0.356217169,25.76,2.29\\r\\nSaurashtra Cement Ltd.,470.19,29.38,13.91,34.26,1.166099387,4.46,7.51,0.05,1.01,4.67,2.62,49.75,22.6,0.013370111,-0.060616416,5.67,0.86\\r\\nEsab India Ltd.,473.72,44.08,26.86,36.5,0.828039927,8.16,11.56,0,1.28,7.35,5.19,5.73,15.88,-0.027494633,-0.112639426,15.23,1.89\\r\\nGP Petroleums Ltd.,480.31,30.73,20.48,28.95,0.942076147,12.75,15.14,0.44,1.71,7.35,3.83,18.67,27.73,1.00E-04,0.027104229,12.71,0.77\\r\\nJagatjit Industries Ltd.,485.23,-86.97,-115.77,9.74,0.111992641,-35.72,-14.43,1.2,1.06,-7.99,-14.05,0,25.28,-0.147345661,-1.11603634,0,0.48\\r\\nAstrazeneca Pharma India Ltd.,543.71,36.94,20.05,38.1,1.031402274,10.63,18.74,0,1.16,6.47,3.65,0,12.81,0.004810139,0.040679466,67.46,4.61\\r\\nR Systems International Ltd.,588.24,70.65,53.69,43.62,0.617409766,20.63,29.16,0.01,1.3,13,9.13,0,13.37,0.075127893,0.200131946,7.71,1.21\\r\\nIngersoll-Rand (India) Ltd.,620.44,56.1,77.27,121.47,2.165240642,7.47,11.13,0,0.56,17.35,11.64,24.51,20.58,0.009421806,-0.012501099,16.28,3.36\\r\\nKokuyo Camlin Ltd.,629.66,23.01,1.51,6.1,0.26510213,0.67,4.1,0.61,1.5,2.03,0.22,0,25.01,0.102966408,0.129012849,29.58,1.36\\r\\nKennametal India Ltd.,651.85,58.26,24.37,77.16,1.324407827,6.32,7.88,0,0.96,4.36,3.5,18.04,10.75,0.029985909,-0.121211453,23.05,2.39\\r\\nNovartis India Ltd.,656.22,24.52,57.22,-40.83,-1.665171289,5.38,8.75,0,0.38,14.09,8.72,49.18,26.6,-0.04915098,-0.295966455,5.22,2.97\\r\\nGoodricke Group Ltd.,680.37,48.95,33.13,60.32,1.232277835,11.72,17.77,0,1.03,7.37,4.86,29.34,26,0.081554633,-0.026498942,8.37,0.65\\r\\nEster Industries Ltd.,702.71,42.85,-10.69,49.58,1.15705951,-3.78,3.02,1.12,1.12,2.27,-1.39,0,20.72,0.000893225,0.039696569,8.92,0.51\\r\\nD-Link (India) Ltd.,706.52,25.4,16.67,-18.14,-0.714173228,10.09,15.17,0.07,2.31,3.67,2.36,10.65,33.07,0.259321618,0.181805614,10.42,0.56\\r\\nDIC India Ltd.,707.23,41.61,22.84,46.06,1.106945446,7.8,11.21,0,1.61,4.19,2.9,16.07,22.23,0.00877819,-0.028430766,8.41,0.67\\r\\nShreyas Shipping & Logistics Ltd.,717.6,65.82,106.07,29.03,0.441051352,37.08,31.93,0.53,1.26,21.15,14.73,2.07,22.86,0.215215133,0.225495855,10.71,1\\r\\nAGC Networks Ltd.,779.63,31.92,10.33,4.21,0.131892231,16.86,16.39,2.52,1.17,4.98,1.32,0,18.91,-0.047537211,-0.204343233,22.13,0.27\\r\\nAgro Tech Foods Ltd.,804.91,61.25,27.67,99.46,1.623836735,8.82,13.02,0.06,1.76,6.09,3.42,17.62,22.1,0.02699501,0.024833748,22.52,1.55\\r\\nVesuvius India Ltd.,821.51,151.14,88.88,50.19,0.332076221,16.48,25.34,0,1.03,15.27,9.93,14.85,44.43,0.086248074,0.105149325,12,2.53\\r\\nNIIT Ltd.,846.55,59.82,40.93,110.68,1.850217319,-2.3,3.17,0.26,0.58,3.49,-2.01,0,44.07,-0.076499545,-0.164462195,19.91,1.38\\r\\nVST Industries Ltd.,922.38,247.74,151.53,145.69,0.588076209,33.42,50.93,0,2.86,10.21,6.7,76.43,19.07,0.061490638,0.033838704,12.36,2.63\\r\\nClariant Chemicals (India) Ltd.,980.98,67.13,24.48,81.58,1.215253985,3.65,5.48,0,1.16,3.47,2.31,235.72,36.92,0.003990323,-0.123472111,18.78,1.65\\r\\nProcter & Gamble Health Ltd.,992.56,115.57,79.13,107.04,0.926191918,12.61,18.35,0,0.71,11.18,7.68,23.08,37.6,0.109798871,0.097775168,9.16,1.41\\r\\n3I Infotech Ltd.,1003.79,156.93,94.73,129.4,0.824571465,0,18.27,5.29,0.74,19.48,9.37,0,43.02,-0.097984507,-0.042283914,9.58,0.42\\r\\nTimken India Ltd.,1056.18,157.98,97.2,164.07,1.038549183,16.93,23.96,0.01,1.18,12.44,8.7,6.99,22.87,0.049185965,0.082999003,22.28,3.54\\r\\nAndhra Paper Ltd.,1172.36,170.07,32.4,171.82,1.010289881,6.98,8.81,0.76,0.99,6.32,2.63,0,16.55,0.145183906,0.204115383,11.8,1.04\\r\\nRicoh India Ltd.,1217.48,-166.51,-326.6,171.18,1.028046364,0,-13.93,5,0.6,-14.36,-26.65,0,24.77,0.23052993,-2.789643827,45.79,1.44\\r\\nBanco Products (India) Ltd.,1239.36,143.62,97.2,90.3,0.628742515,13.83,19.28,0.05,1.35,10.97,7.47,66.22,28.03,0.039959898,0.033845464,7,1.01\\r\\nGrindwell Norton Ltd.,1263.36,193.12,119.39,169.81,0.879297846,14.67,21.73,0.01,1.19,13.32,8.86,37.09,25.9,0.068683519,0.037467865,16.71,2.99\\r\\nFederal-Mogul Goetze (India) Ltd.,1279.09,214.57,77.28,159.31,0.742461668,14.91,21.22,0.14,1.29,10.4,5.91,0,8.93,0.018527474,0.085853437,13.01,1.84\\r\\nTake Solutions Ltd.,1344.56,262.23,143.08,55.9,0.213171643,19.05,17.74,0.26,1.04,13.96,10.87,9.16,36.86,0.138265216,0.125662971,9.25,1.7\\r\\nEros International Media Ltd.,1399.7,340.75,257.45,235.15,0.690095378,13.11,15.88,0.33,0.39,27.07,17.38,0,23.67,0.081990969,0.098600525,5.56,1.23\\r\\nPuravankara Ltd.,1407.12,409.16,128.9,-277.32,-0.677778864,5.24,10.2,0.87,0.23,32.21,8.66,41.4,9.72,0.115643249,0.010195056,7.98,0.82\\r\\nINEOS Styrolution India Ltd.,1482.35,135.17,69.28,-15.56,-0.115114301,12.44,15.27,0.36,1.66,6.83,4.15,10.15,22.04,0.124066588,0.104274377,13.52,0.52\\r\\nGoodyear India Ltd.,1511.84,199.8,127.37,167.77,0.83968969,19.36,30.24,0,1.22,12.23,7.83,22.64,18.32,-0.000210207,0.135462299,5.14,0.94\\r\\nCRISIL Ltd.,1547.51,443.33,294.33,279.01,0.629350597,31.97,47.63,0,1.16,28.33,19.02,65.41,21.17,0.139085415,0.110584705,30.87,10\\r\\nJayant Agro-Organics Ltd.,1661.53,124.24,54.93,-104.04,-0.837411462,22.06,19.43,1.47,2.28,7.07,3.48,23.89,27.82,-0.019366811,0.071872249,8.53,0.39\\r\\nHeidelberg Cement India Ltd.,1717.46,278.86,76.21,361.4,1.29599082,8.19,11.28,0.73,0.8,10.16,3.81,59.47,21.01,0.116938996,0.334970523,12.76,1.46\\r\\nGillette India Ltd.,1733.6,381.45,253.08,247.97,0.650072093,35.34,53.03,0,1.5,21.31,14.15,211.19,16.52,0.07279765,0.287071794,37.09,7.88\\r\\nSchaeffler India Ltd.,1796.32,297.3,195.06,192.81,0.648536831,14.12,21.83,0,1.11,15.5,10.03,10.22,29.67,0.065414681,0.03158457,16.85,3.73\\r\\nIndian Hume Pipe Company Ltd.,1812.5,206.32,99.68,152.16,0.737495153,28.21,30.74,0.67,1.45,10.96,5.5,16.53,23.19,0.270883638,0.42407104,12.34,1.1\\r\\nLinde India Ltd.,1825.31,286.72,19.01,292.61,1.02054269,0.72,4.25,1,0.55,6.2,0.53,33.64,20.18,0.096214238,0.042386108,14.76,1.84\\r\\nJohnson Controls - Hitachi Air Conditioning India Ltd.,1917.3,167.76,81.33,171.55,1.022591798,20.38,24.1,0.14,1.73,5.85,3.88,5.01,14.51,0.19159217,0.408481898,26.42,2.09\\r\\nPfizer Ltd.,1966.26,350.13,336.78,328.82,0.939136892,14.7,22.62,0,0.66,25.41,16.49,27.17,23.5,0.124556069,0.122114408,14.8,4.08\\r\\nGE Power India Ltd.,1993.48,51.22,-2.46,429.83,8.391839125,-0.3,10.32,0,0.48,4.18,-0.12,0,16.28,-0.038017437,-0.25932878,67.46,2.22\\r\\nWabco India Ltd.,2067.49,326.18,213.48,179.58,0.550554908,18.33,25.78,0,1.39,13.31,9.44,6.22,21.45,0.146072907,0.082020869,30.14,5.46\\r\\nDCB Bank Ltd.,2076.15,57.87,199.68,239.8,4.14377052,10.83,12.7,0.66,0,76.38,9.62,7.15,56.42,0.236948302,1.179035201,12.06,1.8\\r\\nPage Industries Ltd.,2128.53,414.69,266.28,273.59,0.659745834,44.54,60.12,0.13,2.03,19.45,12.5,40.63,23.98,0.25033243,0.226263782,38.65,7.99\\r\\nHuhtamaki PPL Ltd.,2181.16,250.27,81.54,166.46,0.665121669,14.97,17.87,0.86,1.74,7.31,3.45,26.75,23.36,0.22116967,0.236134472,8.88,0.88\\r\\nEssar Shipping Ltd.,2193.98,377.42,-583.44,274.02,0.726034656,-20.02,-0.94,2.13,0.22,-3.64,-26.65,0,25.63,-0.047717229,-0.116108929,12.65,0.32\\r\\nSobha Ltd.,2229.06,419.73,160.75,353.79,0.842899007,5.68,8.21,0.84,0.26,17.56,6.58,14.98,18.19,0.096250968,-0.020930701,10.52,1.38\\r\\nJagran Prakashan Ltd.,2282.95,639.52,347.52,477.38,0.7464661,18.45,23.56,0.14,0.76,24.17,15.3,28.22,15.29,0.109862362,0.166386061,9.68,2.69\\r\\nProcter & Gamble Hygiene & Health Care Ltd.,2320.4,662.85,432.73,445.26,0.671735687,39.95,62.65,0,1.47,28.2,17.89,291.8,27.77,-0.02210748,0.271168405,28.73,9.21\\r\\nAsahi India Glass Ltd.,2345.14,415.1,149.56,418.03,1.00705854,22.76,18.99,1.32,1.05,14.12,5.67,16.25,29.3,0.070712052,0.210013639,13.7,1.87\\r\\n3M India Ltd.,2362.98,368.77,240.76,364.93,0.989587005,21.74,33.24,0.01,1.47,15.11,9.8,0,15.48,0.109559414,0.247847643,36.01,6.09\\r\\nInfinite Computer Solutions (India) Ltd.,2366.28,193.34,120.88,88.63,0.458415227,13.58,16.89,0.16,1.33,7.08,5.1,0,15.52,0.175159715,0.009344824,2.93,0.39\\r\\nSanofi India Ltd.,2366.8,417,304.2,322.1,0.772422062,17.43,27.51,0,0.98,19.95,12.57,51.41,23.47,0.127078477,0.109828919,16.09,4.49\\r\\nHoneywell Automation India Ltd.,2410.07,284.91,169.45,215.19,0.755291145,15.41,28.16,0,1.06,12.68,6.93,5.22,10.06,0.08361973,0.144558492,30.65,3.61\\r\\nSterlite Technologies Ltd.,2448.85,484.7,201.38,488.5,1.007839901,27.64,20.1,1.27,0.94,14.77,8.5,24.72,33.43,-0.013552034,0.207788449,10.57,1.66\\r\\nBata India Ltd.,2474.26,289.54,158.95,256.51,0.885922498,12.49,19.55,0,1.44,9.94,6.35,28.3,33.53,0.098186194,0.039034955,19.51,2.75\\r\\nFinolex Industries Ltd.,2602.36,563.07,354.85,251.74,0.447084732,17.7,25.23,0.04,1.11,17.78,11.57,40.22,39.61,0.043851491,0.210370729,12.89,2\\r\\nSKF India Ltd.,2631.41,336.15,243.89,114.97,0.342019932,14.03,21.01,0.02,1.28,13.25,8.6,21.62,26.17,0.015645601,0.024467898,16.37,2.76\\r\\nBilcare Ltd.,2632.92,188.37,-84.54,300.32,1.594309073,-12.03,4.4,3.28,0.76,4.49,-2.98,0,58.81,-0.062816675,-0.167670747,8.24,0.05\\r\\nBlue Dart Express Ltd.,2689.5,341.73,139.84,225.02,0.658473064,34.47,31.15,1.14,1.45,9.82,5.2,25.45,17.32,0.124563533,0.13698447,30.37,4.87\\r\\nBayer CropScience Ltd.,2802.8,412.1,291,157.3,0.38170347,14.94,23.35,0,0.72,15.43,9.87,20.68,18.56,0.042858267,0.102930753,24.61,4.83\\r\\nAkzo Nobel India Ltd.,2836.7,347.1,247,143.3,0.412849323,22.77,31.76,0,1.6,11.02,7.88,41.6,15.71,0.073712835,0.148235597,20.4,2.98\\r\\nAbbott India Ltd.,2902.56,394.81,276.65,307.22,0.77814645,21.54,33.96,0,1.61,14.92,9.41,30.72,20.73,0.142632958,0.176199584,20.64,3.59\\r\\nGlaxosmithkline Pharmaceuticals Ltd.,2908.47,418.98,336.81,234.37,0.559382309,16.08,24.39,0,0.46,17.05,11.23,75.45,16,0.034449216,-0.112624423,40.67,9.14\\r\\nITD Cementation India Ltd.,2937.72,264.32,50.84,325.98,1.233277845,20.42,24.32,0.65,1.37,8.35,3.68,9.15,20.27,0.161996849,0.096481412,9.25,0.69\\r\\nCastrol India Ltd.,3370.33,999.35,670.38,664.11,0.664541952,86.1,133.81,0,2.43,25.01,16.09,81.15,32.92,0.024012615,0.083362874,18.38,5.68\\r\\nHexaware Technologies Ltd.,3534.9,574.6,419.16,472.98,0.823146537,26.99,35.38,0,1.69,15.89,11.86,39.63,20.21,0.195009289,0.188836842,10.49,1.93\\r\\nAegis Logistics Ltd.,3930.29,203.54,119.23,176.96,0.869411418,19.82,20.42,0.34,2.72,4.72,3.38,29.41,34.58,-0.025137443,2.226868807,24.41,1.87\\r\\nWhirlpool Of India Ltd.,3940.77,488.84,310.49,383.55,0.784612552,23.71,35.82,0,2.03,9.14,5.98,12.26,21.85,0.08194998,0.169872084,21.7,3.03\\r\\nColgate-Palmolive (India) Ltd.,3981.82,943.55,577.43,688,0.729161147,50.48,73.88,0,1.26,18.84,12.77,47.1,40.08,0.081338426,0.102777348,24.88,5.95\\r\\nGlaxosmithkline Consumer Healthcare Ltd.,3991.28,838.31,656.68,602.97,0.719268528,22.18,34.1,0,0.63,22.89,14.84,44.83,22.3,0.076176271,0.1069222,19.56,5.62\\r\\nKansai Nerolac Paints Ltd.,4052.55,737.4,508.84,351.2,0.476267969,19.16,28.35,0.01,1.45,15.3,10.2,31.77,17.67,0.092778059,0.169330024,28.9,4.8\\r\\nOracle Financial Services Software Ltd.,4426.53,1695.65,1185.39,1121.13,0.661180078,31.13,44.27,0,0.77,39.7,26.79,121.82,15.85,0.070636799,0.09235554,14.32,6.85\\r\\nBASF India Ltd.,5078.22,265.63,-14.13,221.07,0.832247864,-1.27,5.34,1.16,1.44,2.34,-0.26,0,20.25,0.076301663,0.048171263,33.79,0.93\\r\\nCummins India Ltd.,5106.38,801.11,736.27,748.2,0.933954139,17.52,22.24,0.07,1.11,15.76,12,52.71,36.5,0.044003156,0.028160052,26.41,5.02\\r\\nMahindra CIE Automotive Ltd.,5319.9,531.1,169,304,0.572396912,6.42,8.28,0.43,0.95,5.81,3.06,0,18.16,0.168675204,0.205858194,15.45,1.23\\r\\nMphasis Ltd.,6076.36,967.63,791.58,664.11,0.686326385,13.22,17.49,0.04,0.85,18.32,13.03,45.19,28.28,0.035736818,0.009473097,9.35,1.83\\r\\nDabur India Ltd.,7613.59,1508.94,1276.94,1226.93,0.813107214,29.02,30.96,0.21,1,21.68,16.62,31.04,28.31,0.074914554,0.119061349,28.38,6.36\\r\\nABB India Ltd.,8642.21,710.24,374.47,862.57,1.214476797,11.9,18.17,0.18,1.09,7.41,4.08,22.63,13.46,0.030084475,0.150211677,32.02,2.92\\r\\nThomas Cook (India) Ltd.,8762.42,337.84,43.42,272.67,0.807098035,6.35,11.65,0.72,1.48,3.77,0.98,31.67,18.16,0.861690545,0.25936705,22.87,1.01\\r\\nUnited Spirits Ltd.,8817.5,989.2,100.1,646.8,0.653861706,5.44,9.11,2.32,3.06,2.09,0.36,0,34.18,-0.009410492,-0.024206033,57.88,3.85\\r\\nNestle India Ltd.,9141.34,1849.84,1001.36,1465.91,0.79245232,32.83,53.2,0.01,1.47,17.27,10.57,60.66,31.13,0.039971354,0.040168848,32.83,6.98\\r\\nSiemens Ltd.,10836.6,1046.4,2913.7,512.8,0.490061162,48.88,66.41,0,0.75,35.3,25.88,40.93,18.27,-0.022123608,-0.046018437,33.78,4\\r\\nBosch Ltd.,11201.2,2331.5,1740.2,1456.7,0.624790907,19.01,26.24,0,0.98,20.07,14.5,28.92,20.97,0.065253973,0.090491967,26.33,6.38\\r\\nHindustan Zinc Ltd.,17273,9739,8316,7588,0.779135435,24.39,27.34,0.26,0.38,55.34,44.24,149.37,5.54,0.086556054,0.099190237,10.37,6.84\\r\\nAmbuja Cements Ltd.,20131.93,3181.19,1105.08,2810.29,0.88340841,9.46,14.6,0,0.98,9.6,6.2,50.31,25.78,0.18767949,0.099766113,13.83,2.78\\r\\nHindustan Unilever Ltd.,33252,6327,4476,5185,0.819503714,67.8,94.42,0.04,2.38,18.13,12.52,82.04,31.14,0.072471187,0.126769046,28.94,5.83\\r\\nITC Ltd.,42776.61,15460.64,10289.44,10627.31,0.687378401,24.27,36.02,0,1.09,27.37,17.84,56.08,38.6,0.100294105,0.108645586,18.1,7.52\\r\\nMaruti Suzuki India Ltd.,68085,10254.5,7509.9,10282,1.002681749,21.68,29.37,0.01,1.63,12.99,9.49,30.16,36.19,0.135358858,0.328032017,15.11,2.59\\r\\nVedanta Ltd.,72225,21331,6958,18083,0.847733346,21.69,16,1.19,0.4,25.61,14.86,103.99,27.82,0.517403924,0.437508865,5.73,0.82\\r\\nBilcare Ltd.,2778.44,157.32,-201.14,98.47,0.625921688,-37.02,1.64,5.22,0.81,1.5,-7.14,0,40.5,-0.047655331,-0.158098514,13.48,0.05\\r\\nEssar Shipping Ltd.,1207.75,246.09,-1664.83,487.07,1.979235239,-37.02,-17.69,3.37,0.14,-20,-18.46,0,12.9,-0.177537088,-0.205255698,19.8,0.26\\r\\nInfinite Computer Solutions (India) Ltd.,2791.72,201.32,111.7,-16.6,-0.082455792,12.06,13.71,0.17,1.5,5.3,4,0,14.39,0.149564092,-0.000985076,3.91,0.34\\r\\nEster Industries Ltd.,806.74,65.63,5.29,50.88,0.775255219,1.89,6.84,1.08,1.19,4.88,0.64,0,23.13,-0.018573594,0.096323258,7.95,0.42\\r\\nD-Link (India) Ltd.,643.69,18.24,12.69,33.9,1.858552632,7.06,10.65,0,2.09,3.07,1.97,13.99,35.51,0.127217717,-0.013058694,15.08,0.58\\r\\nDIC India Ltd.,738.29,11.94,-11.79,-12.77,-1.069514238,-3.98,-4.12,0.12,1.46,-1.66,-1.52,0,21.23,0.006152671,-0.238219256,22.48,0.64\\r\\nJagatjit Industries Ltd.,363.98,-43.64,-74.56,7.6,0.174152154,-37.02,-4.44,2.03,0.69,-4.22,-13.87,0,25.28,-0.181929611,-2.095564424,0,0.66\\r\\nJayant Agro-Organics Ltd.,2549.31,144.73,53.47,-78.61,-0.543149313,18.82,17.79,1.73,2.76,5.49,2.23,11.22,27.47,0.094249927,0.090144604,12.34,0.67\\r\\n3I Infotech Ltd.,991.19,155.82,70.4,92.74,0.595173919,33.45,15.07,3.39,0.72,16.76,7.17,0,44.05,-0.054444564,0.093153443,8.85,0.68\\r\\nAsian Hotels (West) Ltd.,385.18,122.03,-8.63,143.9,1.179218225,-8.7,9.05,6.09,0.35,21.18,-2.95,0,30.87,0.232438184,0.318269212,8.04,0.69\\r\\nBlack Rose Industries  Ltd.,297.7,22.13,11.75,11.66,0.526886579,38.58,29.25,1,2.71,6.8,3.95,6.51,17.91,0.195321918,0.32836119,13.74,0.71\\r\\nGP Petroleums Ltd.,518.96,34.53,16.36,-34.72,-1.005502462,8.61,11,0.63,1.44,6.03,3.08,23.37,27.27,0.044534148,0.199470536,13.64,0.86\\r\\nR Systems International Ltd.,592.64,33.04,22.53,36.52,1.105326877,8.22,12.92,0.01,1.4,6.03,3.8,0,13.75,0.049701828,0.056756736,6.44,0.88\\r\\nThomas Cook (India) Ltd.,11248.34,371.16,5968.01,-244.23,-0.658018105,120.77,99.68,0.05,1.18,55.32,54.36,0.23,18.28,0.920813693,0.270867573,18.8,0.9\\r\\nINEOS Styrolution India Ltd.,1895.34,135.25,66.23,173,1.279112754,10.75,15.13,0.16,1.78,5.99,3.39,10.62,21.08,0.138857423,0.064152291,14.49,0.94\\r\\nGoodricke Group Ltd.,730.57,44.37,31.72,23.59,0.53166554,10.6,16.5,0.06,1.18,6.98,4.34,30.64,24.35,0.062501844,0.040211224,9.68,0.96\\r\\nHuhtamaki PPL Ltd.,2130.94,220.09,63.62,96.04,0.436366941,12.15,15.63,0.75,1.56,6.66,2.85,35.61,24.51,0.187979867,0.194724941,9.86,0.97\\r\\nAndhra Paper Ltd.,1264.01,221.43,83.07,215.1,0.971413088,15.94,18.92,0.37,1.09,11.92,6.49,0,18.68,0.005387616,0.138715115,8.07,1\\r\\nSaurashtra Cement Ltd.,573.65,49.9,62.46,49.26,0.987174349,16.12,12.31,0.04,0.99,8.42,10.55,11.08,19.72,0.012039929,-0.14986687,11.93,1.13\\r\\nEnkei Wheels (India) Ltd.,464.73,41.66,10.78,25.4,0.609697552,17.4,18.1,0.91,1.89,5.04,2.25,0,14.73,0.101226649,0.178698963,16.39,1.16\\r\\nIndian Hume Pipe Company Ltd.,1551.38,151.51,66.06,-30.65,-0.202296878,15.49,19.58,0.75,1.03,9.23,4.26,24.93,22.73,0.177856891,0.201141479,12.99,1.25\\r\\nBanco Products (India) Ltd.,1335.64,135.64,116.77,99.04,0.730168092,15.3,21.29,0.04,1.25,12.59,8.64,61.25,27.76,0.054546508,0.031821398,9.4,1.27\\r\\nAsian Hotels (North) Ltd.,274.34,83.49,-3.71,108.79,1.303030303,-0.63,5.29,1.54,0.13,34.51,-1.48,0,16.45,-0.030827824,0.026668818,15.79,1.28\\r\\nITD Cementation India Ltd.,2060.51,271.47,72.82,68.2,0.251224813,14.84,22.56,0.79,0.96,11.02,4.21,8.52,19.11,0.060064192,0.072659478,10.84,1.3\\r\\nGoodyear India Ltd.,1664.69,201.29,129.96,182.28,0.905559144,17.28,26.89,0,1.07,11.85,7.62,23.08,16.64,0.023619748,0.176006002,7.5,1.31\\r\\nVedanta Ltd.,91866,24862,10342,17366,0.698495696,22.18,19.47,0.92,0.5,26.56,14.73,76.26,32.19,1.017427373,1.215810446,6.05,1.33\\r\\nBASF India Ltd.,5583.4,338.58,246.5,290,0.8565184,20.18,16.3,0.65,1.48,6.54,4.31,5.27,20.18,7.22E-02,0.063697309,27.7,1.34\\r\\nShreyas Shipping & Logistics Ltd.,540.59,111.53,92.04,58.56,0.525060522,20.57,15.88,0.62,0.78,17.54,14.38,3.58,22.26,0.068090309,0.217894237,15.96,1.36\\r\\nClariant Chemicals (India) Ltd.,1013.55,43.98,21.6,-1.07,-0.024329241,3.33,5.24,0,1.13,3.31,2.1,53.43,37.68,-0.01557061,-0.203262306,21.85,1.37\\r\\nTake Solutions Ltd.,1587.24,306.47,160.46,120.85,0.394328972,14.37,14.91,0.24,0.99,13.15,10.07,14.55,33.11,0.137907023,0.136823704,7.75,1.45\\r\\nMahindra CIE Automotive Ltd.,6520,814.5,358.4,512.2,0.628852056,10.29,11.73,0.32,0.95,8.42,5.38,0,18.07,0.240851585,0.814594617,16.79,1.62\\r\\nPuravankara Ltd.,1414.9,307.49,91.4,-28.85,-0.093824189,3.94,8.31,0.99,0.21,27.04,6.63,41.52,11.63,0.025768148,-0.118231921,9.51,1.64\\r\\nAsian Hotels (East) Ltd.,189.62,38.67,-5.73,18.28,0.472717869,-0.74,1.6,0.18,0.19,7.69,-3.03,0,17.72,0.046446941,0.031315259,8.62,1.67\\r\\nHeidelberg Cement India Ltd.,1889.47,363.36,133.18,377.14,1.037923822,13.23,16.9,0.59,0.79,14.38,6.79,42.54,19.97,0.167839394,0.418764344,12.57,1.69\\r\\nAgro Tech Foods Ltd.,810.96,66.11,31.56,60.36,0.913023748,10.29,14.8,0,1.92,6.05,3.89,19.3,23.79,0.005526994,0.004327282,22.74,1.72\\r\\nAegis Logistics Ltd.,4790.96,266,197.81,191.46,0.719774436,20.92,18.22,0.25,2.31,5.01,4.46,21.11,34.51,0.03770064,1.296268273,33.43,1.72\\r\\nKokuyo Camlin Ltd.,629.53,37.08,9.81,14.39,0.388079827,4.21,6.6,0.58,1.33,3.84,1.54,0,24.01,0.075065151,1.519284925,46.68,1.74\\r\\nAllsec Technologies Ltd.,324.96,61.04,59.53,52.54,0.860747051,33.34,35.64,0,1.65,19.67,18.32,12.8,22.77,0.003037078,0.108865239,7.56,1.76\\r\\nEros International Media Ltd.,960.16,616.69,229.34,235.27,0.381504484,10.98,13.25,0.31,0.26,38.59,24.08,0,35.33,-0.021054447,0.222047216,6.77,1.79\\r\\nOrient Green Power Company Ltd.,386.86,256.03,-73.12,323.52,1.263601922,-12.69,7.09,2.99,0.15,42.82,-18.46,0,19.26,-0.023385795,0.064538043,8.98,1.79\\r\\nSobha Ltd.,2783.03,519.72,216.87,353.46,0.680096975,8.01,10.33,0.84,0.31,18.48,7.78,30.61,23.21,0.083400779,-0.010632403,13.04,1.83\\r\\nNIIT Ltd.,851.69,70.61,62.47,88.05,1.246990511,-0.35,4.52,0.25,0.59,4.67,-0.28,0,37.6,-0.023820032,0.098462242,22.02,1.85\\r\\nSeamec Ltd.,193.6,33.22,1,29.32,0.882600843,0.29,1.14,0.02,0.39,2.09,0.52,0,22.05,-0.10510966,-0.15848511,0,1.88\\r\\nKingfa Science & Technology (India) Ltd.,601.64,41.19,24.64,-115.56,-2.805535324,11.29,13.27,0.07,1.39,6.58,3.99,0,16.38,0.30894187,0.860027297,32.04,1.98\\r\\nLinde India Ltd.,2033.06,323.3,16.19,252.09,0.779740179,0.69,4.4,0.88,0.6,5.85,0.47,52.68,15.07,0.089490836,0.100051366,16.26,2.08\\r\\nMphasis Ltd.,6545.84,1059.06,837.5,723.32,0.682983023,14.46,18.57,0.07,0.93,17.42,12.79,46.15,25.03,0.035780786,0.001924074,10.92,2.13\\r\\nExpleo Solutions Ltd.,271.23,40.49,31.98,24.99,0.617189429,25.02,37.7,0,1.51,17.77,11.79,80.39,39.65,0.109336835,0.060463631,10.41,2.14\\r\\nAmbuja Cements Ltd.,23608.69,3857.58,1516.36,3416.23,0.885588893,9.54,14.6,0,0.74,11.71,7.64,47.14,24.7,0.193464337,0.092956969,12.47,2.15\\r\\nXchanging Solutions Ltd.,185.9,26.05,31.64,36.23,1.390786948,8.63,11.07,0,0.39,21.87,17.02,0,8.32,-0.022993844,0.114056434,26.42,2.15\\r\\nKennametal India Ltd.,793.1,100.4,52.3,62.9,0.626494024,12.57,17.53,0,0.99,9.2,6.59,8.41,10.65,0.101202412,0.210742498,21.06,2.21\\r\\nEsab India Ltd.,531.8,51.92,37.15,29.73,0.57261171,10.31,14.67,0,1.2,9.74,6.85,4.14,15.75,0.010988747,-0.033519478,18.96,2.25\\r\\nHexaware Technologies Ltd.,3942.01,656.54,499.53,476.24,0.725378499,27.51,34.25,0,1.71,16.28,12.66,23.77,19.95,0.15137771,0.108980367,11.88,2.26\\r\\nFederal-Mogul Goetze (India) Ltd.,1325.34,227.57,88.32,137.87,0.605835567,14.61,22.75,0.03,1.25,11.92,7.07,0,15.19,0.020215807,0.171712982,13.34,2.32\\r\\nProcter & Gamble Health Ltd.,698.13,70.63,93.91,53.66,0.759733824,13.44,21.79,0,0.49,21.39,13.2,26.51,34.91,0.003137623,-0.077098009,12.38,2.35\\r\\nTimex Group India Ltd.,207.3,10.61,7.52,-0.75,-0.07068803,0,25.27,1.85,1.92,4.63,3.59,0,21.26,0.112877876,1.049418377,169.06,2.36\\r\\nJagran Prakashan Ltd.,2303.98,582.54,310.98,390.65,0.670597727,14.83,21.23,0.07,0.71,21.43,13.5,30.04,10.76,0.086486298,0.156586807,8.09,2.38\\r\\nGE Power India Ltd.,1337.97,133.21,26.61,48.08,0.360933864,3.21,9,0,0.3,5.55,1.98,75.79,18.53,-0.136429017,-0.111990725,19.83,2.39\\r\\nMorganite Crucible (India) Ltd.,109.15,22.59,13.88,17.2,0.761398849,16.27,25.26,0,0.95,19.74,12.72,32.27,25,0.01759449,0.007737714,7.55,2.5\\r\\nDCB Bank Ltd.,2412.99,75.9,245.34,230.05,3.030961792,10.9,12.55,0.75,0,74.75,10.17,9.42,54.44,0.213730412,1.434991934,14.98,2.58\\r\\nFoseco India Ltd.,357.59,51.33,31.57,65.74,1.280732515,23.39,35.62,0,1.89,12.81,8.34,50.57,13.54,0.077028485,0.074335894,17.32,2.61\\r\\nGMM Pfaudler Ltd.,405.7,62.06,42.68,67.74,1.091524331,20.25,29.26,0,1.06,14.77,10.22,13.7,22.59,0.137650141,0.322487635,16.71,2.62\\r\\nVesuvius India Ltd.,911.27,166.54,94.45,190.94,1.146511349,15.2,23.42,0,0.81,15.33,9.95,14.51,21.04,0.100793714,0.116732224,13.76,2.8\\r\\nJohnson Controls - Hitachi Air Conditioning India Ltd.,2185.39,198.87,100.15,97.21,0.488811787,20.53,29.27,0.02,1.7,6.79,4.43,4.07,25.75,0.186342216,0.33759766,34.41,2.81\\r\\nNovartis India Ltd.,563.89,-8.23,78.36,160.99,19.56136087,9.4,19.72,0,0.33,23.82,11.45,31.5,26.26,-0.089946955,-1.621325471,11.2,2.91\\r\\nFinolex Industries Ltd.,2737.79,483.93,306.33,338.41,0.699295353,11.35,16.88,0.04,0.87,15.81,10.24,40.51,40.37,0.050030223,0.061694945,13.52,3.02\\r\\nAkzo Nobel India Ltd.,2968.2,310.5,400.1,182.6,0.588083736,34.83,42.31,0,1.14,16.02,13.15,25.68,14.69,0.05866802,0.104968888,21.53,3.02\\r\\nSKF India Ltd.,2750.41,434.84,295.89,367.21,0.84447153,16.22,24.44,0.05,1.19,16.42,10.55,17.35,20.49,0.694426415,0.109704624,17.85,3.07\\r\\nAsahi India Glass Ltd.,2632.97,463.76,177.38,449.26,0.968733828,17.15,16.89,1.28,0.91,14.5,6.41,20.56,27.62,0.064187697,0.249892892,20.06,3.08\\r\\nStovec Industries Ltd.,212.7,43.67,27.16,23.45,0.53698191,26.25,40.32,0,1.19,18.89,12.3,27.68,26.57,0.238178137,0.366466177,13.28,3.12\\r\\nVST Industries Ltd.,947.57,293.99,181.89,420.12,1.429028198,32.45,49.86,0,1.5,20.57,13.39,65.79,18.78,0.07220843,0.102723046,17.16,3.18\\r\\nOrient Refractories Ltd.,628.42,128.11,85.83,57.24,0.446803528,28.8,44.26,0,1.07,20.7,13.47,34.99,23.26,0.117506067,0.138239391,14.94,3.24\\r\\nABB India Ltd.,9087.32,731.3,419.95,791.66,1.082537946,12.18,17.38,0.17,1.15,7.51,4.48,22.2,13.89,0.03610735,0.155281585,34.86,3.29\\r\\nAbbott India Ltd.,3298.5,523.4,401.22,152.7,0.291746274,26.35,40.61,0,1.48,18.91,12.13,29.13,20.06,0.148219916,0.210454856,18.65,3.31\\r\\nAsian Oilfield Services Ltd.,222.22,40.69,10.3,27.33,0.671663799,11.85,10.18,0.18,0.96,7.58,4.64,0,25.35,0.320353982,1.675492381,89.54,3.36\\r\\nSchaeffler India Ltd.,3933.14,678.92,388.49,400.96,0.590585047,20.52,31.03,0.03,1.63,14.64,9.48,7.27,18.24,0.221448574,0.251747445,15.98,3.37\\r\\nSterlite Technologies Ltd.,3178.81,710.5,334.33,728.93,1.025939479,36.24,27.84,1.02,0.97,18.77,11.38,23.99,35.55,0.005531005,0.260986069,17.11,3.42\\r\\nBata India Ltd.,2634.17,361.98,220.51,160.27,0.442759268,15.76,25.14,0,1.37,13.32,8.35,23.31,24.77,0.074111772,0.048279451,24.11,3.48\\r\\nMaruti Suzuki India Ltd.,79809.4,11964.3,7880,11787.9,0.985256137,19.38,28.29,0,1.46,13.83,9.41,30.66,38.63,0.12491948,0.228043213,19.18,3.56\\r\\nVoith Paper Fabrics India Ltd.,94.11,24.83,18.12,22.82,0.919049537,9.74,14.86,0,0.41,28.65,18.78,21.82,24.79,0.102621899,0.147295837,6.35,3.59\\r\\nGrindwell Norton Ltd.,1430.98,246.89,149.75,133.89,0.54230629,16.11,24.3,0,1.14,15.75,10.38,36.97,24.44,0.08607023,0.10285377,20.08,3.64\\r\\nWhirlpool Of India Ltd.,4831.91,560,350.67,384.24,0.686142857,19.96,30.35,0,1.9,8.97,5.77,14.47,19.15,0.117486734,0.20973077,26.22,3.69\\r\\nSaint-Gobain Sekurit India Ltd.,146.43,26.77,13.77,16.51,0.616735151,14.72,21.79,0.04,1.34,14.08,9.18,0,25,0.061685489,0.209126931,25.23,3.79\\r\\nSinger India Ltd.,421.5,13.58,9.04,-5.01,-0.36892489,36.55,36.87,0.24,5.24,3.29,2.14,44.57,29.81,0.164398267,0.163082102,134.84,3.81\\r\\nBlue Dart Express Ltd.,2799.24,350.84,144.71,316.7,0.902690685,30.11,27.59,0.78,1.37,9.2,5.17,20.5,15.11,0.052077326,0.054693511,28.9,3.87\\r\\nMPS Ltd.,267.03,85.91,70.21,77.58,0.903038063,18.32,26.61,0,0.52,38.19,26.29,31.82,20.67,0.10241576,0.148899024,9.63,3.89\\r\\nIngersoll-Rand (India) Ltd.,614.8,69.16,88.89,77.13,1.115240023,8.12,11.83,0,0.5,20.72,14.22,738.7,20.58,0.009787452,0.051700478,14.72,3.95\\r\\nElantas Beck India Ltd.,382.56,78.27,55.08,50.83,0.649418679,22.05,32.55,0,1.27,20.02,13.57,6.48,15.71,0.068670719,0.2022841,18.36,4.03\\r\\nSiemens Ltd.,11064.7,1038.3,1136.6,573.4,0.552248868,15.68,23.43,0,0.67,14.92,9.97,21.93,16.96,-0.030526152,0.044845779,32.96,4.15\\r\\nSanofi India Ltd.,2463.6,519.2,326,435.1,0.838020031,16.87,26.38,0,0.73,20.7,13.09,50.09,16.31,0.093870942,0.178103173,16.49,4.41\\r\\nPfizer Ltd.,1968.51,500.64,360.07,331.8,0.662751678,14.11,21.49,0,0.57,27.71,18.18,25.41,22.36,0.134190399,0.221428973,14.67,4.45\\r\\nUnited Spirits Ltd.,8590.6,1207.2,633.8,925.1,0.766318754,31.01,20.21,1.41,3.02,4.48,2.45,0,33.86,-0.039321091,0.020475165,40.43,4.56\\r\\nTimken India Ltd.,1233.47,163.26,91.99,38.99,0.238821512,13.94,20.97,0.02,1.11,11.26,7.35,7.39,20.81,0.12368062,0.1735571,30.27,4.61\\r\\nAstrazeneca Pharma India Ltd.,571,46.29,25.91,8.79,0.189889825,11.12,18.65,0,1.05,7.66,4.53,0,13.59,0.078997835,1.108832309,47.61,4.64\\r\\nCummins India Ltd.,5111.89,732.33,711.82,631.9,0.862862371,15.67,20.14,0.06,0.95,16.49,12.06,58.41,28.92,0.021799054,-0.025870818,26.64,4.91\\r\\nHoneywell Automation India Ltd.,2689.98,366.4,249.73,262.89,0.717494541,19.27,29.63,0,0.97,14.27,9.26,11.33,10.1,0.101260352,0.245065622,33.66,5.03\\r\\nDisa India Ltd.,204.89,23.27,16.65,24.3,1.044263,16.49,25.78,0,0.81,12.5,7.99,2.18,14.03,0.060896385,-0.030014106,37.7,5.03\\r\\nCastrol India Ltd.,3584.32,1033.12,691.81,608.3,0.588798978,69.47,107.04,0,2.37,24.12,15.58,100.08,33.7,0.028079023,0.106480333,17.92,5.24\\r\\nBayer CropScience Ltd.,2709.9,409,300.1,121.4,0.296821516,15.65,21.65,0,0.64,15.1,10.92,20.57,16.51,-0.001132714,0.025907707,31.72,5.26\\r\\nWabco India Ltd.,2573.33,398.61,272.83,310.78,0.779659316,19.63,27.46,0,1.34,14.67,10.44,5.56,20.06,0.216495546,0.154855084,31.99,5.54\\r\\nGlaxosmithkline Consumer Healthcare Ltd.,4316.52,883.36,700.1,723.04,0.818511139,21.19,32.54,0,0.56,24.59,15.99,45.05,27.5,0.062519446,0.090271197,19.62,5.6\\r\\nAccelya Solutions India Ltd.,382.53,149.72,89.18,111.29,0.743320866,49.47,76.97,0,0.89,36.27,23.31,76.99,21.48,0.047140716,0.028066465,12.71,5.66\\r\\nBosch Ltd.,11690.1,2093.2,1371.1,1728.7,0.825864705,14.61,21.79,0,0.91,17.22,11.55,22.24,19.73,0.061864481,0.091760978,22.23,5.84\\r\\nHindustan Zinc Ltd.,22082,12270,9276,9800,0.798696007,27.8,34.14,0,0.5,56.59,41.19,36.44,5.54,0.116986775,0.135205794,9.11,5.99\\r\\nKansai Nerolac Paints Ltd.,4658.08,793.79,514.4,360.02,0.453545648,17.28,26.21,0.01,1.36,14.87,9.7,27.24,19.38,0.101931602,0.186422257,30.02,6.25\\r\\nNirlon Ltd.,290.78,220.24,55.69,212.3,0.96394842,16.63,15.97,2.06,0.24,51.87,19.15,12.14,15.46,0.127388428,0.1348311,11.17,6.73\\r\\nColgate-Palmolive (India) Ltd.,4187.98,1113.72,673.37,693.93,0.623074022,48.32,70.26,0,1.03,22.71,15.56,96.94,34.65,0.057691372,0.1113921,28.15,6.77\\r\\n3M India Ltd.,2758.57,506.16,333.35,36.2,0.071518887,31.25,47.97,0.01,1.21,18.56,11.98,0,15.52,0.118738583,0.353971206,36.65,6.97\\r\\nNestle India Ltd.,10009.6,2096.53,1225.19,1817.79,0.867046978,36.56,57.04,0.01,1.44,18.95,12.02,67.68,31.28,0.037306554,0.027320879,32.44,7.04\\r\\nOracle Financial Services Software Ltd.,4527.47,1803.78,1237.04,1157.42,0.641663618,32.57,46.17,0,0.77,40.65,27.32,89.69,12.89,0.054399469,0.087810857,14.99,7.09\\r\\nGlaxosmithkline Pharmaceuticals Ltd.,2871.45,505.8,350.73,472.8,0.934756821,17.26,26.56,0,0.41,18.65,12.11,84.53,14.89,0.012985308,-0.082240993,40.42,7.15\\r\\nDabur India Ltd.,7721.85,1617.44,1354.39,1091.5,0.674831833,26.21,28.01,0.17,1.03,20.68,16.08,97.54,23.53,0.045923474,0.103660117,31.18,7.36\\r\\nHindustan Unilever Ltd.,35550,7501,5214,6059,0.807758965,74.85,102.53,0,2.19,20.23,14.42,82.85,29.59,0.056531216,0.122743498,38.61,7.82\\r\\nITC Ltd.,43448.94,16503.24,11271.2,13169.4,0.797988759,24.07,35.39,0,0.79,36.73,24.08,55.76,38.66,0.077600813,0.092196549,19.45,7.9\\r\\nCRISIL Ltd.,1658.46,455.28,304.43,290.71,0.638530135,30.96,42.68,0,1.17,26.17,18.36,65.95,16.3,0.11147147,0.06801871,27.15,8.31\\r\\nPage Industries Ltd.,2551.37,541.64,346.98,452.77,0.83592423,45.86,64.12,0.08,1.99,20.97,13.6,30.86,25.08,0.238291579,0.244869597,44.49,9.17\\r\\nGillette India Ltd.,1676.85,381.54,229.05,237.12,0.621481365,38.56,58.93,0,1.54,21,13.66,32.73,12.81,0.031250044,0.235842784,42.12,10.38\\r\\nProcter & Gamble Hygiene & Health Care Ltd.,2455.29,615.39,374.59,415.47,0.675132843,57.17,88.18,0,1.94,23.91,15.26,34.66,23.15,0.07797545,0.197312037,36.47,11.41\\r\\n',\n",
              " 'test_data.csv': b'REVENUE,OPERATING PROFIT,PAT,OCF,OCF/OPE PRO,ROE,ROCE,D/E,Asset Turnover,EBIDTAM (%),PATM(%),DIV PAYOUT RATIO,Free Float,5 YR Sales CAGR,5 YR OP CAGR\\r\\n426,74,41,37,0.5,27.8,28,0.42,4.2,17.3,9.5,1,15,20,30\\r\\n'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "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('dataset6.csv')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uVj7NWT2PW7Y",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "d5e7b3e5-e57f-496f-9f15-a9a0243cf9e5"
      },
      "source": [
        "data.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",
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              "\n",
              "    .dataframe thead th {\n",
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              "    }\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>REVENUE</th>\n",
              "      <th>OPERATING PROFIT</th>\n",
              "      <th>PAT</th>\n",
              "      <th>OCF</th>\n",
              "      <th>OCF/OPE PRO</th>\n",
              "      <th>ROE</th>\n",
              "      <th>ROCE</th>\n",
              "      <th>D/E</th>\n",
              "      <th>Asset Turnover</th>\n",
              "      <th>EBIDTAM (%)</th>\n",
              "      <th>PATM(%)</th>\n",
              "      <th>DIV PAYOUT RATIO</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>5 YR Sales CAGR</th>\n",
              "      <th>5 YR OP CAGR</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>Multibase India Ltd.</td>\n",
              "      <td>109.94</td>\n",
              "      <td>19.62</td>\n",
              "      <td>15.36</td>\n",
              "      <td>5.17</td>\n",
              "      <td>0.263507</td>\n",
              "      <td>16.77</td>\n",
              "      <td>23.84</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.97</td>\n",
              "      <td>19.85</td>\n",
              "      <td>13.97</td>\n",
              "      <td>0.00</td>\n",
              "      <td>23.93</td>\n",
              "      <td>0.121380</td>\n",
              "      <td>0.220486</td>\n",
              "      <td>20.90</td>\n",
              "      <td>5.80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Voith Paper Fabrics India Ltd.</td>\n",
              "      <td>112.03</td>\n",
              "      <td>29.27</td>\n",
              "      <td>23.09</td>\n",
              "      <td>16.74</td>\n",
              "      <td>0.571917</td>\n",
              "      <td>11.36</td>\n",
              "      <td>15.98</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.44</td>\n",
              "      <td>28.99</td>\n",
              "      <td>20.61</td>\n",
              "      <td>9.51</td>\n",
              "      <td>24.11</td>\n",
              "      <td>0.018936</td>\n",
              "      <td>0.166579</td>\n",
              "      <td>6.17</td>\n",
              "      <td>3.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Morganite Crucible (India) Ltd.</td>\n",
              "      <td>120.14</td>\n",
              "      <td>20.20</td>\n",
              "      <td>15.37</td>\n",
              "      <td>20.52</td>\n",
              "      <td>1.015842</td>\n",
              "      <td>16.17</td>\n",
              "      <td>23.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>18.20</td>\n",
              "      <td>12.79</td>\n",
              "      <td>29.15</td>\n",
              "      <td>25.00</td>\n",
              "      <td>0.017792</td>\n",
              "      <td>0.022986</td>\n",
              "      <td>12.43</td>\n",
              "      <td>3.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Saint-Gobain Sekurit India Ltd.</td>\n",
              "      <td>159.76</td>\n",
              "      <td>25.77</td>\n",
              "      <td>16.08</td>\n",
              "      <td>23.59</td>\n",
              "      <td>0.915406</td>\n",
              "      <td>14.83</td>\n",
              "      <td>20.41</td>\n",
              "      <td>0.03</td>\n",
              "      <td>1.24</td>\n",
              "      <td>14.36</td>\n",
              "      <td>10.06</td>\n",
              "      <td>0.00</td>\n",
              "      <td>25.00</td>\n",
              "      <td>0.037345</td>\n",
              "      <td>0.228726</td>\n",
              "      <td>17.47</td>\n",
              "      <td>3.56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Xchanging Solutions Ltd.</td>\n",
              "      <td>184.10</td>\n",
              "      <td>42.73</td>\n",
              "      <td>46.71</td>\n",
              "      <td>48.14</td>\n",
              "      <td>1.126609</td>\n",
              "      <td>11.44</td>\n",
              "      <td>13.91</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.36</td>\n",
              "      <td>30.86</td>\n",
              "      <td>25.37</td>\n",
              "      <td>0.00</td>\n",
              "      <td>6.50</td>\n",
              "      <td>-0.084972</td>\n",
              "      <td>0.199473</td>\n",
              "      <td>11.05</td>\n",
              "      <td>2.91</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      Company Name  REVENUE  ...  Ev/EBITDA  M/Sales\n",
              "0             Multibase India Ltd.   109.94  ...      20.90     5.80\n",
              "1   Voith Paper Fabrics India Ltd.   112.03  ...       6.17     3.60\n",
              "2  Morganite Crucible (India) Ltd.   120.14  ...      12.43     3.85\n",
              "3  Saint-Gobain Sekurit India Ltd.   159.76  ...      17.47     3.56\n",
              "4         Xchanging Solutions Ltd.   184.10  ...      11.05     2.91\n",
              "\n",
              "[5 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "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": 336
        },
        "outputId": "63cbacc1-2eeb-47af-8723-76d407e801aa"
      },
      "source": [
        "data.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Company Name         object\n",
              "REVENUE             float64\n",
              "OPERATING PROFIT    float64\n",
              "PAT                 float64\n",
              "OCF                 float64\n",
              "OCF/OPE PRO         float64\n",
              "ROE                 float64\n",
              "ROCE                float64\n",
              "D/E                 float64\n",
              "Asset Turnover      float64\n",
              "EBIDTAM (%)         float64\n",
              "PATM(%)             float64\n",
              "DIV PAYOUT RATIO    float64\n",
              "Free Float          float64\n",
              "5 YR Sales CAGR     float64\n",
              "5 YR OP CAGR        float64\n",
              "Ev/EBITDA           float64\n",
              "M/Sales             float64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "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": "ab142821-ff54-4a6c-82bc-a86d6ce953a1"
      },
      "source": [
        "len(data.columns)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "18"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "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": 450
        },
        "outputId": "ff49db10-9d70-4877-ef94-fe30719ad051"
      },
      "source": [
        "data1.head()\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>REVENUE</th>\n",
              "      <th>OPERATING PROFIT</th>\n",
              "      <th>PAT</th>\n",
              "      <th>OCF</th>\n",
              "      <th>OCF/OPE PRO</th>\n",
              "      <th>ROE</th>\n",
              "      <th>ROCE</th>\n",
              "      <th>D/E</th>\n",
              "      <th>Asset Turnover</th>\n",
              "      <th>EBIDTAM (%)</th>\n",
              "      <th>PATM(%)</th>\n",
              "      <th>DIV PAYOUT RATIO</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>5 YR Sales CAGR</th>\n",
              "      <th>5 YR OP CAGR</th>\n",
              "      <th>Ev/EBITDA</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Multibase India Ltd.</td>\n",
              "      <td>109.94</td>\n",
              "      <td>19.62</td>\n",
              "      <td>15.36</td>\n",
              "      <td>5.17</td>\n",
              "      <td>0.263507</td>\n",
              "      <td>16.77</td>\n",
              "      <td>23.84</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.97</td>\n",
              "      <td>19.85</td>\n",
              "      <td>13.97</td>\n",
              "      <td>0.00</td>\n",
              "      <td>23.93</td>\n",
              "      <td>0.121380</td>\n",
              "      <td>0.220486</td>\n",
              "      <td>20.90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Voith Paper Fabrics India Ltd.</td>\n",
              "      <td>112.03</td>\n",
              "      <td>29.27</td>\n",
              "      <td>23.09</td>\n",
              "      <td>16.74</td>\n",
              "      <td>0.571917</td>\n",
              "      <td>11.36</td>\n",
              "      <td>15.98</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.44</td>\n",
              "      <td>28.99</td>\n",
              "      <td>20.61</td>\n",
              "      <td>9.51</td>\n",
              "      <td>24.11</td>\n",
              "      <td>0.018936</td>\n",
              "      <td>0.166579</td>\n",
              "      <td>6.17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Morganite Crucible (India) Ltd.</td>\n",
              "      <td>120.14</td>\n",
              "      <td>20.20</td>\n",
              "      <td>15.37</td>\n",
              "      <td>20.52</td>\n",
              "      <td>1.015842</td>\n",
              "      <td>16.17</td>\n",
              "      <td>23.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>18.20</td>\n",
              "      <td>12.79</td>\n",
              "      <td>29.15</td>\n",
              "      <td>25.00</td>\n",
              "      <td>0.017792</td>\n",
              "      <td>0.022986</td>\n",
              "      <td>12.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Saint-Gobain Sekurit India Ltd.</td>\n",
              "      <td>159.76</td>\n",
              "      <td>25.77</td>\n",
              "      <td>16.08</td>\n",
              "      <td>23.59</td>\n",
              "      <td>0.915406</td>\n",
              "      <td>14.83</td>\n",
              "      <td>20.41</td>\n",
              "      <td>0.03</td>\n",
              "      <td>1.24</td>\n",
              "      <td>14.36</td>\n",
              "      <td>10.06</td>\n",
              "      <td>0.00</td>\n",
              "      <td>25.00</td>\n",
              "      <td>0.037345</td>\n",
              "      <td>0.228726</td>\n",
              "      <td>17.47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Xchanging Solutions Ltd.</td>\n",
              "      <td>184.10</td>\n",
              "      <td>42.73</td>\n",
              "      <td>46.71</td>\n",
              "      <td>48.14</td>\n",
              "      <td>1.126609</td>\n",
              "      <td>11.44</td>\n",
              "      <td>13.91</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.36</td>\n",
              "      <td>30.86</td>\n",
              "      <td>25.37</td>\n",
              "      <td>0.00</td>\n",
              "      <td>6.50</td>\n",
              "      <td>-0.084972</td>\n",
              "      <td>0.199473</td>\n",
              "      <td>11.05</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      Company Name  REVENUE  ...  5 YR OP CAGR  Ev/EBITDA\n",
              "0             Multibase India Ltd.   109.94  ...      0.220486      20.90\n",
              "1   Voith Paper Fabrics India Ltd.   112.03  ...      0.166579       6.17\n",
              "2  Morganite Crucible (India) Ltd.   120.14  ...      0.022986      12.43\n",
              "3  Saint-Gobain Sekurit India Ltd.   159.76  ...      0.228726      17.47\n",
              "4         Xchanging Solutions Ltd.   184.10  ...      0.199473      11.05\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-5qEKJb_PW7_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "6c3be8e6-8bea-4c4d-dc0d-1b0bd4e32b26"
      },
      "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": 134
        },
        "outputId": "3de0c140-e710-4412-e3cf-ebeefd35f566"
      },
      "source": [
        "cor_target = abs(cor[\"Ev/EBITDA\"])\n",
        "feat = list(cor_target.sort_values(ascending=False).index[1:7])\n",
        "cor_target.sort_values(ascending=False)[1:7]\n",
        "#print(list(cor_target.index))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Asset Turnover    0.304903\n",
              "EBIDTAM (%)       0.133842\n",
              "ROCE              0.076608\n",
              "D/E               0.069725\n",
              "ROE               0.064497\n",
              "OCF/OPE PRO       0.060054\n",
              "Name: Ev/EBITDA, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T66rR4ayPW8I",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X,y = data1[feat], 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')[feat]\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": "code",
      "metadata": {
        "id": "HiKJJwDrqQVa",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 168
        },
        "outputId": "80c1d3e0-e255-48c2-aa3c-9b3ecb52009b"
      },
      "source": [
        "print(\"Predictions by different models: \")\n",
        "print(*pred_list,sep = '\\n')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Predictions by different models: \n",
            "[51.43349374]\n",
            "[24.798882]\n",
            "[53.69100227]\n",
            "[47.59391207]\n",
            "[54.75789452]\n",
            "[46.14057631]\n",
            "[51.60883248]\n",
            "[23.58891373]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lnZfkoigqHAQ",
        "colab_type": "text"
      },
      "source": [
        "## Prediction List"
      ]
    },
    {
      "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": {}
      },
      "source": [
        "if PROVIDE_OWN_INPUT==False:\n",
        "    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": []
    },
    {
      "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": {}
      },
      "source": [
        "if PROVIDE_OWN_INPUT==False:\n",
        "    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": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HveRXF9Apinu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "ec850a72-634f-4de2-9764-75d21cd5bc87"
      },
      "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[3])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f9557e0add8>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        },
        {
          "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": "code",
      "metadata": {
        "id": "bXbZcIHFHbun",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "if PROVIDE_OWN_INPUT==False:\n",
        "    plt.subplots(figsize=(12,5))\n",
        "    sns.kdeplot(y_train, shade=True, label='Train')\n",
        "    sns.kdeplot(y_test, shade = True, label= 'Test')\n",
        "    plt.legend( prop={'size': 30})"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RtAKPYPqBOs3",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "if PROVIDE_OWN_INPUT==False:\n",
        "    plt.subplots(figsize=(12,5))\n",
        "    sns.kdeplot(pred_list[3], shade=True, label='Pred')\n",
        "    sns.kdeplot(y_test, shade = True, label= 'Test')\n",
        "    plt.legend( prop={'size': 30})"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "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": 430
        },
        "outputId": "53161837-6d7a-4bef-b8b5-8769037baa30"
      },
      "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>REVENUE</th>\n",
              "      <th>OPERATING PROFIT</th>\n",
              "      <th>PAT</th>\n",
              "      <th>OCF</th>\n",
              "      <th>OCF/OPE PRO</th>\n",
              "      <th>ROE</th>\n",
              "      <th>ROCE</th>\n",
              "      <th>D/E</th>\n",
              "      <th>Asset Turnover</th>\n",
              "      <th>EBIDTAM (%)</th>\n",
              "      <th>PATM(%)</th>\n",
              "      <th>DIV PAYOUT RATIO</th>\n",
              "      <th>Free Float</th>\n",
              "      <th>5 YR Sales CAGR</th>\n",
              "      <th>5 YR OP CAGR</th>\n",
              "      <th>M/Sales</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Multibase India Ltd.</td>\n",
              "      <td>109.94</td>\n",
              "      <td>19.62</td>\n",
              "      <td>15.36</td>\n",
              "      <td>5.17</td>\n",
              "      <td>0.263507</td>\n",
              "      <td>16.77</td>\n",
              "      <td>23.84</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.97</td>\n",
              "      <td>19.85</td>\n",
              "      <td>13.97</td>\n",
              "      <td>0.00</td>\n",
              "      <td>23.93</td>\n",
              "      <td>0.121380</td>\n",
              "      <td>0.220486</td>\n",
              "      <td>5.80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Voith Paper Fabrics India Ltd.</td>\n",
              "      <td>112.03</td>\n",
              "      <td>29.27</td>\n",
              "      <td>23.09</td>\n",
              "      <td>16.74</td>\n",
              "      <td>0.571917</td>\n",
              "      <td>11.36</td>\n",
              "      <td>15.98</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.44</td>\n",
              "      <td>28.99</td>\n",
              "      <td>20.61</td>\n",
              "      <td>9.51</td>\n",
              "      <td>24.11</td>\n",
              "      <td>0.018936</td>\n",
              "      <td>0.166579</td>\n",
              "      <td>3.60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Morganite Crucible (India) Ltd.</td>\n",
              "      <td>120.14</td>\n",
              "      <td>20.20</td>\n",
              "      <td>15.37</td>\n",
              "      <td>20.52</td>\n",
              "      <td>1.015842</td>\n",
              "      <td>16.17</td>\n",
              "      <td>23.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>18.20</td>\n",
              "      <td>12.79</td>\n",
              "      <td>29.15</td>\n",
              "      <td>25.00</td>\n",
              "      <td>0.017792</td>\n",
              "      <td>0.022986</td>\n",
              "      <td>3.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Saint-Gobain Sekurit India Ltd.</td>\n",
              "      <td>159.76</td>\n",
              "      <td>25.77</td>\n",
              "      <td>16.08</td>\n",
              "      <td>23.59</td>\n",
              "      <td>0.915406</td>\n",
              "      <td>14.83</td>\n",
              "      <td>20.41</td>\n",
              "      <td>0.03</td>\n",
              "      <td>1.24</td>\n",
              "      <td>14.36</td>\n",
              "      <td>10.06</td>\n",
              "      <td>0.00</td>\n",
              "      <td>25.00</td>\n",
              "      <td>0.037345</td>\n",
              "      <td>0.228726</td>\n",
              "      <td>3.56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Xchanging Solutions Ltd.</td>\n",
              "      <td>184.10</td>\n",
              "      <td>42.73</td>\n",
              "      <td>46.71</td>\n",
              "      <td>48.14</td>\n",
              "      <td>1.126609</td>\n",
              "      <td>11.44</td>\n",
              "      <td>13.91</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.36</td>\n",
              "      <td>30.86</td>\n",
              "      <td>25.37</td>\n",
              "      <td>0.00</td>\n",
              "      <td>6.50</td>\n",
              "      <td>-0.084972</td>\n",
              "      <td>0.199473</td>\n",
              "      <td>2.91</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      Company Name  REVENUE  ...  5 YR OP CAGR  M/Sales\n",
              "0             Multibase India Ltd.   109.94  ...      0.220486     5.80\n",
              "1   Voith Paper Fabrics India Ltd.   112.03  ...      0.166579     3.60\n",
              "2  Morganite Crucible (India) Ltd.   120.14  ...      0.022986     3.85\n",
              "3  Saint-Gobain Sekurit India Ltd.   159.76  ...      0.228726     3.56\n",
              "4         Xchanging Solutions Ltd.   184.10  ...      0.199473     2.91\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QIlTiSHvi6Ew",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "3fba6922-df61-4588-b44e-b13944c56e26"
      },
      "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": {
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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": 134
        },
        "outputId": "09826a3e-baf9-41bb-d073-d50c7eef41c2"
      },
      "source": [
        "cor_target = abs(cor[\"M/Sales\"])\n",
        "feat = list(cor_target.sort_values(ascending=False).index[1:7])\n",
        "cor_target.sort_values(ascending=False)[1:7]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ROCE                0.557312\n",
              "ROE                 0.497977\n",
              "PATM(%)             0.446614\n",
              "EBIDTAM (%)         0.411841\n",
              "D/E                 0.290073\n",
              "DIV PAYOUT RATIO    0.289317\n",
              "Name: M/Sales, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2mnSuhtOkWX5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "X,y = data2[feat], 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')[feat]\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": "code",
      "metadata": {
        "id": "nI-2ETvdtgOO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 168
        },
        "outputId": "c2108d93-c70f-4ebe-f1b4-dc825dc8a0df"
      },
      "source": [
        "print(\"Predictions by different models: \")\n",
        "print(*pred_list,sep = '\\n')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Predictions by different models: \n",
            "[2.98181988]\n",
            "[3.2163336]\n",
            "[2.96957705]\n",
            "[2.99250242]\n",
            "[3.24980371]\n",
            "[2.9765045]\n",
            "[3.07530157]\n",
            "[3.20980949]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "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": {}
      },
      "source": [
        "if PROVIDE_OWN_INPUT==False:\n",
        "    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": []
    },
    {
      "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": {}
      },
      "source": [
        "if PROVIDE_OWN_INPUT==False:\n",
        "\n",
        "    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": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YQCC_uwFnMcP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "54206d4c-8f7e-40da-d8d5-5c21adbcada5"
      },
      "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 0x7f95668e7f60>]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        },
        {
          "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": "code",
      "metadata": {
        "id": "iAh80yv_Hyp4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "if PROVIDE_OWN_INPUT==False:\n",
        "        \n",
        "    plt.subplots(figsize=(12,5))\n",
        "    sns.kdeplot(y_train, shade=True, label='Train')\n",
        "    sns.kdeplot(y_test, shade = True, label= 'Test')\n",
        "    plt.legend( prop={'size': 30})"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rxHmctBJmrUe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "if PROVIDE_OWN_INPUT==False:\n",
        "        \n",
        "    plt.subplots(figsize=(12,5))\n",
        "    sns.kdeplot(pred_list[3], shade=True, label='Pred')\n",
        "    sns.kdeplot(y_test, shade = True, label= 'Test')\n",
        "    plt.legend( prop={'size': 30})"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z9QkQaLzGemA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}