Assignment_1 .ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# FIFA WORLD CUP DATA ANALYSIS\n\n## 1930- 2014\n\n## Intoduction\nThis is a dataset for FIFA World cup  between year 1998 to 2014.In this dataset the data are divided into tabular form with columns headed with \n1. Year\n2. Datetime\n3. Stage\n4. Stadium\n5. City\n6. Home Team Name\n7. Home Team Goals\n8. Away Team Goals\n9. Away Team Name\n10. Win conditions\n11. Attendance\n12. Half-time Home Goals\n13. Half-time Away Goals\n14. Referee\n15. Assistant 1\n16. Assistant 2\n17. RoundID\n18. MatchID\n19. Home Team Initials\n20. Away Team Initials\n\nHDI for many year are missing and the missing data will be considered as Null\n\n## Objective\nMy objective will be to cover up all the questions related to FIFA World cup mainly through graphical and tabular representation.\nQuestions such as:\n1. Total attendence of world cups by year\n2. Average attendence by year\n3. Total matches played and qualified teams by year\n4. Highest number of attendance\n5. Stadiums with highest average attendance\n6. Cities that hosted highest world cup matches\n7. Average attendance by city\n8. Distribution of home and away goals\n9. Teams with highest fifa world cup goals\n10. Referee's with most matches\n\n## Methods:"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import pandas as pd\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "%matplotlib inline",
      "execution_count": 9,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "pwd",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 10,
          "data": {
            "text/plain": "'/home/nbuser/library'"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df=pd.read_csv('/home/nbuser/library/WorldCupMatches.csv')\ndf.max()\n",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 8,
          "data": {
            "text/plain": "Year                         2014.0\nHome Team Goals                10.0\nAway Team Goals                 7.0\nAttendance                 173850.0\nHalf-time Home Goals            6.0\nHalf-time Away Goals            5.0\nRoundID                  97410600.0\nMatchID                 300186515.0\ndtype: float64"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Here I get to know that maximum goals scored in 2014."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "wc = pd.read_csv('/home/nbuser/library/WorldCups.csv')\nwc\n",
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 16,
          "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>Year</th>\n      <th>Country</th>\n      <th>Winner</th>\n      <th>Runners-Up</th>\n      <th>Third</th>\n      <th>Fourth</th>\n      <th>GoalsScored</th>\n      <th>QualifiedTeams</th>\n      <th>MatchesPlayed</th>\n      <th>Attendance</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1930</td>\n      <td>Uruguay</td>\n      <td>Uruguay</td>\n      <td>Argentina</td>\n      <td>USA</td>\n      <td>Yugoslavia</td>\n      <td>70</td>\n      <td>13</td>\n      <td>18</td>\n      <td>590.549</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1934</td>\n      <td>Italy</td>\n      <td>Italy</td>\n      <td>Czechoslovakia</td>\n      <td>Germany</td>\n      <td>Austria</td>\n      <td>70</td>\n      <td>16</td>\n      <td>17</td>\n      <td>363.000</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1938</td>\n      <td>France</td>\n      <td>Italy</td>\n      <td>Hungary</td>\n      <td>Brazil</td>\n      <td>Sweden</td>\n      <td>84</td>\n      <td>15</td>\n      <td>18</td>\n      <td>375.700</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1950</td>\n      <td>Brazil</td>\n      <td>Uruguay</td>\n      <td>Brazil</td>\n      <td>Sweden</td>\n      <td>Spain</td>\n      <td>88</td>\n      <td>13</td>\n      <td>22</td>\n      <td>1.045.246</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1954</td>\n      <td>Switzerland</td>\n      <td>Germany FR</td>\n      <td>Hungary</td>\n      <td>Austria</td>\n      <td>Uruguay</td>\n      <td>140</td>\n      <td>16</td>\n      <td>26</td>\n      <td>768.607</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>1958</td>\n      <td>Sweden</td>\n      <td>Brazil</td>\n      <td>Sweden</td>\n      <td>France</td>\n      <td>Germany FR</td>\n      <td>126</td>\n      <td>16</td>\n      <td>35</td>\n      <td>819.810</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>1962</td>\n      <td>Chile</td>\n      <td>Brazil</td>\n      <td>Czechoslovakia</td>\n      <td>Chile</td>\n      <td>Yugoslavia</td>\n      <td>89</td>\n      <td>16</td>\n      <td>32</td>\n      <td>893.172</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>1966</td>\n      <td>England</td>\n      <td>England</td>\n      <td>Germany FR</td>\n      <td>Portugal</td>\n      <td>Soviet Union</td>\n      <td>89</td>\n      <td>16</td>\n      <td>32</td>\n      <td>1.563.135</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>1970</td>\n      <td>Mexico</td>\n      <td>Brazil</td>\n      <td>Italy</td>\n      <td>Germany FR</td>\n      <td>Uruguay</td>\n      <td>95</td>\n      <td>16</td>\n      <td>32</td>\n      <td>1.603.975</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>1974</td>\n      <td>Germany</td>\n      <td>Germany FR</td>\n      <td>Netherlands</td>\n      <td>Poland</td>\n      <td>Brazil</td>\n      <td>97</td>\n      <td>16</td>\n      <td>38</td>\n      <td>1.865.753</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>1978</td>\n      <td>Argentina</td>\n      <td>Argentina</td>\n      <td>Netherlands</td>\n      <td>Brazil</td>\n      <td>Italy</td>\n      <td>102</td>\n      <td>16</td>\n      <td>38</td>\n      <td>1.545.791</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>1982</td>\n      <td>Spain</td>\n      <td>Italy</td>\n      <td>Germany FR</td>\n      <td>Poland</td>\n      <td>France</td>\n      <td>146</td>\n      <td>24</td>\n      <td>52</td>\n      <td>2.109.723</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>1986</td>\n      <td>Mexico</td>\n      <td>Argentina</td>\n      <td>Germany FR</td>\n      <td>France</td>\n      <td>Belgium</td>\n      <td>132</td>\n      <td>24</td>\n      <td>52</td>\n      <td>2.394.031</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>1990</td>\n      <td>Italy</td>\n      <td>Germany FR</td>\n      <td>Argentina</td>\n      <td>Italy</td>\n      <td>England</td>\n      <td>115</td>\n      <td>24</td>\n      <td>52</td>\n      <td>2.516.215</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>1994</td>\n      <td>USA</td>\n      <td>Brazil</td>\n      <td>Italy</td>\n      <td>Sweden</td>\n      <td>Bulgaria</td>\n      <td>141</td>\n      <td>24</td>\n      <td>52</td>\n      <td>3.587.538</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>1998</td>\n      <td>France</td>\n      <td>France</td>\n      <td>Brazil</td>\n      <td>Croatia</td>\n      <td>Netherlands</td>\n      <td>171</td>\n      <td>32</td>\n      <td>64</td>\n      <td>2.785.100</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2002</td>\n      <td>Korea/Japan</td>\n      <td>Brazil</td>\n      <td>Germany</td>\n      <td>Turkey</td>\n      <td>Korea Republic</td>\n      <td>161</td>\n      <td>32</td>\n      <td>64</td>\n      <td>2.705.197</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2006</td>\n      <td>Germany</td>\n      <td>Italy</td>\n      <td>France</td>\n      <td>Germany</td>\n      <td>Portugal</td>\n      <td>147</td>\n      <td>32</td>\n      <td>64</td>\n      <td>3.359.439</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2010</td>\n      <td>South Africa</td>\n      <td>Spain</td>\n      <td>Netherlands</td>\n      <td>Germany</td>\n      <td>Uruguay</td>\n      <td>145</td>\n      <td>32</td>\n      <td>64</td>\n      <td>3.178.856</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2014</td>\n      <td>Brazil</td>\n      <td>Germany</td>\n      <td>Argentina</td>\n      <td>Netherlands</td>\n      <td>Brazil</td>\n      <td>171</td>\n      <td>32</td>\n      <td>64</td>\n      <td>3.386.810</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "    Year       Country      Winner      Runners-Up        Third  \\\n0   1930       Uruguay     Uruguay       Argentina          USA   \n1   1934         Italy       Italy  Czechoslovakia      Germany   \n2   1938        France       Italy         Hungary       Brazil   \n3   1950        Brazil     Uruguay          Brazil       Sweden   \n4   1954   Switzerland  Germany FR         Hungary      Austria   \n5   1958        Sweden      Brazil          Sweden       France   \n6   1962         Chile      Brazil  Czechoslovakia        Chile   \n7   1966       England     England      Germany FR     Portugal   \n8   1970        Mexico      Brazil           Italy   Germany FR   \n9   1974       Germany  Germany FR     Netherlands       Poland   \n10  1978     Argentina   Argentina     Netherlands       Brazil   \n11  1982         Spain       Italy      Germany FR       Poland   \n12  1986        Mexico   Argentina      Germany FR       France   \n13  1990         Italy  Germany FR       Argentina        Italy   \n14  1994           USA      Brazil           Italy       Sweden   \n15  1998        France      France          Brazil      Croatia   \n16  2002   Korea/Japan      Brazil         Germany       Turkey   \n17  2006       Germany       Italy          France      Germany   \n18  2010  South Africa       Spain     Netherlands      Germany   \n19  2014        Brazil     Germany       Argentina  Netherlands   \n\n            Fourth  GoalsScored  QualifiedTeams  MatchesPlayed Attendance  \n0       Yugoslavia           70              13             18    590.549  \n1          Austria           70              16             17    363.000  \n2           Sweden           84              15             18    375.700  \n3            Spain           88              13             22  1.045.246  \n4          Uruguay          140              16             26    768.607  \n5       Germany FR          126              16             35    819.810  \n6       Yugoslavia           89              16             32    893.172  \n7     Soviet Union           89              16             32  1.563.135  \n8          Uruguay           95              16             32  1.603.975  \n9           Brazil           97              16             38  1.865.753  \n10           Italy          102              16             38  1.545.791  \n11          France          146              24             52  2.109.723  \n12         Belgium          132              24             52  2.394.031  \n13         England          115              24             52  2.516.215  \n14        Bulgaria          141              24             52  3.587.538  \n15     Netherlands          171              32             64  2.785.100  \n16  Korea Republic          161              32             64  2.705.197  \n17        Portugal          147              32             64  3.359.439  \n18         Uruguay          145              32             64  3.178.856  \n19          Brazil          171              32             64  3.386.810  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true
      },
      "cell_type": "code",
      "source": "df=pd.read_csv('/home/nbuser/library/WorldCupMatches.csv')\ndf.head()",
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 12,
          "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>Year</th>\n      <th>Datetime</th>\n      <th>Stage</th>\n      <th>Stadium</th>\n      <th>City</th>\n      <th>Home Team Name</th>\n      <th>Home Team Goals</th>\n      <th>Away Team Goals</th>\n      <th>Away Team Name</th>\n      <th>Win conditions</th>\n      <th>Attendance</th>\n      <th>Half-time Home Goals</th>\n      <th>Half-time Away Goals</th>\n      <th>Referee</th>\n      <th>Assistant 1</th>\n      <th>Assistant 2</th>\n      <th>RoundID</th>\n      <th>MatchID</th>\n      <th>Home Team Initials</th>\n      <th>Away Team Initials</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1930.0</td>\n      <td>13 Jul 1930 - 15:00</td>\n      <td>Group 1</td>\n      <td>Pocitos</td>\n      <td>Montevideo</td>\n      <td>France</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>Mexico</td>\n      <td></td>\n      <td>4444.0</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>LOMBARDI Domingo (URU)</td>\n      <td>CRISTOPHE Henry (BEL)</td>\n      <td>REGO Gilberto (BRA)</td>\n      <td>201.0</td>\n      <td>1096.0</td>\n      <td>FRA</td>\n      <td>MEX</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1930.0</td>\n      <td>13 Jul 1930 - 15:00</td>\n      <td>Group 4</td>\n      <td>Parque Central</td>\n      <td>Montevideo</td>\n      <td>USA</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>Belgium</td>\n      <td></td>\n      <td>18346.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>MACIAS Jose (ARG)</td>\n      <td>MATEUCCI Francisco (URU)</td>\n      <td>WARNKEN Alberto (CHI)</td>\n      <td>201.0</td>\n      <td>1090.0</td>\n      <td>USA</td>\n      <td>BEL</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1930.0</td>\n      <td>14 Jul 1930 - 12:45</td>\n      <td>Group 2</td>\n      <td>Parque Central</td>\n      <td>Montevideo</td>\n      <td>Yugoslavia</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>Brazil</td>\n      <td></td>\n      <td>24059.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>TEJADA Anibal (URU)</td>\n      <td>VALLARINO Ricardo (URU)</td>\n      <td>BALWAY Thomas (FRA)</td>\n      <td>201.0</td>\n      <td>1093.0</td>\n      <td>YUG</td>\n      <td>BRA</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1930.0</td>\n      <td>14 Jul 1930 - 14:50</td>\n      <td>Group 3</td>\n      <td>Pocitos</td>\n      <td>Montevideo</td>\n      <td>Romania</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>Peru</td>\n      <td></td>\n      <td>2549.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>WARNKEN Alberto (CHI)</td>\n      <td>LANGENUS Jean (BEL)</td>\n      <td>MATEUCCI Francisco (URU)</td>\n      <td>201.0</td>\n      <td>1098.0</td>\n      <td>ROU</td>\n      <td>PER</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1930.0</td>\n      <td>15 Jul 1930 - 16:00</td>\n      <td>Group 1</td>\n      <td>Parque Central</td>\n      <td>Montevideo</td>\n      <td>Argentina</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>France</td>\n      <td></td>\n      <td>23409.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>REGO Gilberto (BRA)</td>\n      <td>SAUCEDO Ulises (BOL)</td>\n      <td>RADULESCU Constantin (ROU)</td>\n      <td>201.0</td>\n      <td>1085.0</td>\n      <td>ARG</td>\n      <td>FRA</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "     Year              Datetime    Stage         Stadium         City  \\\n0  1930.0  13 Jul 1930 - 15:00   Group 1         Pocitos  Montevideo    \n1  1930.0  13 Jul 1930 - 15:00   Group 4  Parque Central  Montevideo    \n2  1930.0  14 Jul 1930 - 12:45   Group 2  Parque Central  Montevideo    \n3  1930.0  14 Jul 1930 - 14:50   Group 3         Pocitos  Montevideo    \n4  1930.0  15 Jul 1930 - 16:00   Group 1  Parque Central  Montevideo    \n\n  Home Team Name  Home Team Goals  Away Team Goals Away Team Name  \\\n0         France              4.0              1.0         Mexico   \n1            USA              3.0              0.0        Belgium   \n2     Yugoslavia              2.0              1.0         Brazil   \n3        Romania              3.0              1.0           Peru   \n4      Argentina              1.0              0.0         France   \n\n  Win conditions  Attendance  Half-time Home Goals  Half-time Away Goals  \\\n0                     4444.0                   3.0                   0.0   \n1                    18346.0                   2.0                   0.0   \n2                    24059.0                   2.0                   0.0   \n3                     2549.0                   1.0                   0.0   \n4                    23409.0                   0.0                   0.0   \n\n                  Referee               Assistant 1  \\\n0  LOMBARDI Domingo (URU)     CRISTOPHE Henry (BEL)   \n1       MACIAS Jose (ARG)  MATEUCCI Francisco (URU)   \n2     TEJADA Anibal (URU)   VALLARINO Ricardo (URU)   \n3   WARNKEN Alberto (CHI)       LANGENUS Jean (BEL)   \n4     REGO Gilberto (BRA)      SAUCEDO Ulises (BOL)   \n\n                  Assistant 2  RoundID  MatchID Home Team Initials  \\\n0         REGO Gilberto (BRA)    201.0   1096.0                FRA   \n1       WARNKEN Alberto (CHI)    201.0   1090.0                USA   \n2         BALWAY Thomas (FRA)    201.0   1093.0                YUG   \n3    MATEUCCI Francisco (URU)    201.0   1098.0                ROU   \n4  RADULESCU Constantin (ROU)    201.0   1085.0                ARG   \n\n  Away Team Initials  \n0                MEX  \n1                BEL  \n2                BRA  \n3                PER  \n4                FRA  "
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "markdown",
      "source": "df1=wcm.groupby(['Year'])['Year','Attendance'].sum()\ndf1"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df1=df.groupby(['Year','Attendance'])\ndf1",
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 29,
          "data": {
            "text/plain": "<pandas.core.groupby.groupby.DataFrameGroupBy object at 0x7f5eb80e6be0>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df1=df.groupby(['Year'])['Year','Attendance'].sum()\ndf1",
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 40,
          "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>Year</th>\n      <th>Attendance</th>\n    </tr>\n    <tr>\n      <th>Year</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1930.0</th>\n      <td>34740.0</td>\n      <td>590549.0</td>\n    </tr>\n    <tr>\n      <th>1934.0</th>\n      <td>32878.0</td>\n      <td>363000.0</td>\n    </tr>\n    <tr>\n      <th>1938.0</th>\n      <td>34884.0</td>\n      <td>375700.0</td>\n    </tr>\n    <tr>\n      <th>1950.0</th>\n      <td>42900.0</td>\n      <td>1045246.0</td>\n    </tr>\n    <tr>\n      <th>1954.0</th>\n      <td>50804.0</td>\n      <td>768607.0</td>\n    </tr>\n    <tr>\n      <th>1958.0</th>\n      <td>68530.0</td>\n      <td>819810.0</td>\n    </tr>\n    <tr>\n      <th>1962.0</th>\n      <td>62784.0</td>\n      <td>893172.0</td>\n    </tr>\n    <tr>\n      <th>1966.0</th>\n      <td>62912.0</td>\n      <td>1563135.0</td>\n    </tr>\n    <tr>\n      <th>1970.0</th>\n      <td>63040.0</td>\n      <td>1603975.0</td>\n    </tr>\n    <tr>\n      <th>1974.0</th>\n      <td>75012.0</td>\n      <td>1865753.0</td>\n    </tr>\n    <tr>\n      <th>1978.0</th>\n      <td>75164.0</td>\n      <td>1545791.0</td>\n    </tr>\n    <tr>\n      <th>1982.0</th>\n      <td>103064.0</td>\n      <td>2109723.0</td>\n    </tr>\n    <tr>\n      <th>1986.0</th>\n      <td>103272.0</td>\n      <td>2394031.0</td>\n    </tr>\n    <tr>\n      <th>1990.0</th>\n      <td>103480.0</td>\n      <td>2516215.0</td>\n    </tr>\n    <tr>\n      <th>1994.0</th>\n      <td>103688.0</td>\n      <td>3587538.0</td>\n    </tr>\n    <tr>\n      <th>1998.0</th>\n      <td>127872.0</td>\n      <td>2785100.0</td>\n    </tr>\n    <tr>\n      <th>2002.0</th>\n      <td>128128.0</td>\n      <td>2705197.0</td>\n    </tr>\n    <tr>\n      <th>2006.0</th>\n      <td>128384.0</td>\n      <td>3359439.0</td>\n    </tr>\n    <tr>\n      <th>2010.0</th>\n      <td>128640.0</td>\n      <td>3178856.0</td>\n    </tr>\n    <tr>\n      <th>2014.0</th>\n      <td>161120.0</td>\n      <td>4319243.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "            Year  Attendance\nYear                        \n1930.0   34740.0    590549.0\n1934.0   32878.0    363000.0\n1938.0   34884.0    375700.0\n1950.0   42900.0   1045246.0\n1954.0   50804.0    768607.0\n1958.0   68530.0    819810.0\n1962.0   62784.0    893172.0\n1966.0   62912.0   1563135.0\n1970.0   63040.0   1603975.0\n1974.0   75012.0   1865753.0\n1978.0   75164.0   1545791.0\n1982.0  103064.0   2109723.0\n1986.0  103272.0   2394031.0\n1990.0  103480.0   2516215.0\n1994.0  103688.0   3587538.0\n1998.0  127872.0   2785100.0\n2002.0  128128.0   2705197.0\n2006.0  128384.0   3359439.0\n2010.0  128640.0   3178856.0\n2014.0  161120.0   4319243.0"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#total attendance by year\ndf1['Attendance'].plot()",
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 42,
          "data": {
            "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7f5eb7def748>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Here I get to know that the no.of peaple come every year to see the match"
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true
      },
      "cell_type": "code",
      "source": "#To show average attendence per year\nat1 = df.groupby(\"Year\")[\"Attendance\"].mean().reset_index()\nat1[\"Year\"] = at1[\"Year\"].astype(int)\nplt.figure(figsize=(12,7))\nax = sns.pointplot(at1[\"Year\"],at1[\"Attendance\"],color=\"b\")\nax.set_facecolor(\"grey\")\nplt.title(\"Average attendence by year\",color='b')\nplt.show()",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 864x504 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Here I get to know that the average attendance per year we get"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#total matches played and qualified teams per year\nplt.figure(figsize=(12,7))\nsns.pointplot(wc[\"Year\"],wc[\"MatchesPlayed\"],linewidth=1,\n            edgecolor=\"k\"*len(wc),color=\"b\",label=\"Total matches played\")\nsns.pointplot(wc[\"Year\"],wc[\"QualifiedTeams\"],linewidth=1,\n            edgecolor=\"k\"*len(wc),color=\"r\",label=\"Total qualified teams\")\nplt.title(\"Qualified teams by year\",color='b')\nplt.grid(True)\nplt.ylabel(\"total matches and qualified teams by year\")\nplt.show()\n",
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 864x504 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### By analyzing the above graph I got to know that the total matches played per and the qualified teams increases"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df2=wc.groupby(['Attendance'])['Attendance','Winner'].sum()\ndf2",
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 42,
          "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>Attendance</th>\n      <th>Winner</th>\n    </tr>\n    <tr>\n      <th>Attendance</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1.045.246</th>\n      <td>1.045.246</td>\n      <td>Uruguay</td>\n    </tr>\n    <tr>\n      <th>1.545.791</th>\n      <td>1.545.791</td>\n      <td>Argentina</td>\n    </tr>\n    <tr>\n      <th>1.563.135</th>\n      <td>1.563.135</td>\n      <td>England</td>\n    </tr>\n    <tr>\n      <th>1.603.975</th>\n      <td>1.603.975</td>\n      <td>Brazil</td>\n    </tr>\n    <tr>\n      <th>1.865.753</th>\n      <td>1.865.753</td>\n      <td>Germany FR</td>\n    </tr>\n    <tr>\n      <th>2.109.723</th>\n      <td>2.109.723</td>\n      <td>Italy</td>\n    </tr>\n    <tr>\n      <th>2.394.031</th>\n      <td>2.394.031</td>\n      <td>Argentina</td>\n    </tr>\n    <tr>\n      <th>2.516.215</th>\n      <td>2.516.215</td>\n      <td>Germany FR</td>\n    </tr>\n    <tr>\n      <th>2.705.197</th>\n      <td>2.705.197</td>\n      <td>Brazil</td>\n    </tr>\n    <tr>\n      <th>2.785.100</th>\n      <td>2.785.100</td>\n      <td>France</td>\n    </tr>\n    <tr>\n      <th>3.178.856</th>\n      <td>3.178.856</td>\n      <td>Spain</td>\n    </tr>\n    <tr>\n      <th>3.359.439</th>\n      <td>3.359.439</td>\n      <td>Italy</td>\n    </tr>\n    <tr>\n      <th>3.386.810</th>\n      <td>3.386.810</td>\n      <td>Germany</td>\n    </tr>\n    <tr>\n      <th>3.587.538</th>\n      <td>3.587.538</td>\n      <td>Brazil</td>\n    </tr>\n    <tr>\n      <th>363.000</th>\n      <td>363.000</td>\n      <td>Italy</td>\n    </tr>\n    <tr>\n      <th>375.700</th>\n      <td>375.700</td>\n      <td>Italy</td>\n    </tr>\n    <tr>\n      <th>590.549</th>\n      <td>590.549</td>\n      <td>Uruguay</td>\n    </tr>\n    <tr>\n      <th>768.607</th>\n      <td>768.607</td>\n      <td>Germany FR</td>\n    </tr>\n    <tr>\n      <th>819.810</th>\n      <td>819.810</td>\n      <td>Brazil</td>\n    </tr>\n    <tr>\n      <th>893.172</th>\n      <td>893.172</td>\n      <td>Brazil</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "           Attendance      Winner\nAttendance                       \n1.045.246   1.045.246     Uruguay\n1.545.791   1.545.791   Argentina\n1.563.135   1.563.135     England\n1.603.975   1.603.975      Brazil\n1.865.753   1.865.753  Germany FR\n2.109.723   2.109.723       Italy\n2.394.031   2.394.031   Argentina\n2.516.215   2.516.215  Germany FR\n2.705.197   2.705.197      Brazil\n2.785.100   2.785.100      France\n3.178.856   3.178.856       Spain\n3.359.439   3.359.439       Italy\n3.386.810   3.386.810     Germany\n3.587.538   3.587.538      Brazil\n363.000       363.000       Italy\n375.700       375.700       Italy\n590.549       590.549     Uruguay\n768.607       768.607  Germany FR\n819.810       819.810      Brazil\n893.172       893.172      Brazil"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Stadiums with highest average attendance\ndf3 = df.groupby(['Stadium'])['Stadium','Attendance'].mean()\ndf3\n",
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 51,
          "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>Attendance</th>\n    </tr>\n    <tr>\n      <th>Stadium</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Arena Amazonia</th>\n      <td>40056.750000</td>\n    </tr>\n    <tr>\n      <th>Arena Fonte Nova</th>\n      <td>50385.000000</td>\n    </tr>\n    <tr>\n      <th>Arena Pantanal</th>\n      <td>39679.250000</td>\n    </tr>\n    <tr>\n      <th>Arena Pernambuco</th>\n      <td>41020.666667</td>\n    </tr>\n    <tr>\n      <th>Arena da Baixada</th>\n      <td>39247.750000</td>\n    </tr>\n    <tr>\n      <th>Arena de Sao Paulo</th>\n      <td>62764.375000</td>\n    </tr>\n    <tr>\n      <th>Arosvallen</th>\n      <td>10904.000000</td>\n    </tr>\n    <tr>\n      <th>Arroyito - Estadio Dr. Lisandro de la Torre</th>\n      <td>26900.500000</td>\n    </tr>\n    <tr>\n      <th>Ayresome Park</th>\n      <td>18209.000000</td>\n    </tr>\n    <tr>\n      <th>Benito Villamarin</th>\n      <td>45189.500000</td>\n    </tr>\n    <tr>\n      <th>Bombonera - Estadio Nemesio Diez</th>\n      <td>20000.000000</td>\n    </tr>\n    <tr>\n      <th>Busan Asiad Main Stadium</th>\n      <td>37411.666667</td>\n    </tr>\n    <tr>\n      <th>Camp Nou</th>\n      <td>64000.000000</td>\n    </tr>\n    <tr>\n      <th>Cape Town Stadium</th>\n      <td>63417.500000</td>\n    </tr>\n    <tr>\n      <th>Carlos Dittborn</th>\n      <td>9829.571429</td>\n    </tr>\n    <tr>\n      <th>Carlos Tartiere</th>\n      <td>20166.666667</td>\n    </tr>\n    <tr>\n      <th>Cavee Verte</th>\n      <td>11000.000000</td>\n    </tr>\n    <tr>\n      <th>Charmilles</th>\n      <td>13367.500000</td>\n    </tr>\n    <tr>\n      <th>Citrus Bowl</th>\n      <td>61265.800000</td>\n    </tr>\n    <tr>\n      <th>Comunale</th>\n      <td>36514.000000</td>\n    </tr>\n    <tr>\n      <th>Comunale di Cornaredo</th>\n      <td>24000.000000</td>\n    </tr>\n    <tr>\n      <th>Cotton Bowl</th>\n      <td>58692.000000</td>\n    </tr>\n    <tr>\n      <th>Cuauhtemoc</th>\n      <td>26598.125000</td>\n    </tr>\n    <tr>\n      <th>Dacia Arena</th>\n      <td>34223.000000</td>\n    </tr>\n    <tr>\n      <th>Daegu World Cup Stadium</th>\n      <td>53746.750000</td>\n    </tr>\n    <tr>\n      <th>Daejeon World Cup Stadium</th>\n      <td>32031.333333</td>\n    </tr>\n    <tr>\n      <th>Della Favorita</th>\n      <td>33288.000000</td>\n    </tr>\n    <tr>\n      <th>Durban Stadium</th>\n      <td>62090.142857</td>\n    </tr>\n    <tr>\n      <th>Durival de Brito</th>\n      <td>8707.000000</td>\n    </tr>\n    <tr>\n      <th>El Molinon</th>\n      <td>41666.666667</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>St. Jakob</th>\n      <td>36666.666667</td>\n    </tr>\n    <tr>\n      <th>Stade Felix Bollaert</th>\n      <td>37050.000000</td>\n    </tr>\n    <tr>\n      <th>Stade Geoffroy Guichard</th>\n      <td>30600.000000</td>\n    </tr>\n    <tr>\n      <th>Stade Municipal</th>\n      <td>27000.000000</td>\n    </tr>\n    <tr>\n      <th>Stade Olympique</th>\n      <td>44636.333333</td>\n    </tr>\n    <tr>\n      <th>Stade V�lodrome</th>\n      <td>48444.444444</td>\n    </tr>\n    <tr>\n      <th>Stade de France</th>\n      <td>78222.222222</td>\n    </tr>\n    <tr>\n      <th>Stade de Gerland</th>\n      <td>39100.000000</td>\n    </tr>\n    <tr>\n      <th>Stade de la Meinau</th>\n      <td>13452.000000</td>\n    </tr>\n    <tr>\n      <th>Stade du Parc Lescure</th>\n      <td>26995.777778</td>\n    </tr>\n    <tr>\n      <th>Stadio Benito Mussolini</th>\n      <td>14000.000000</td>\n    </tr>\n    <tr>\n      <th>Stadio Olimpico</th>\n      <td>73373.000000</td>\n    </tr>\n    <tr>\n      <th>Stadio San Nicola</th>\n      <td>43600.000000</td>\n    </tr>\n    <tr>\n      <th>Stadio delle Alpi</th>\n      <td>61429.200000</td>\n    </tr>\n    <tr>\n      <th>Stanford Stadium</th>\n      <td>81737.333333</td>\n    </tr>\n    <tr>\n      <th>Suwon World Cup Stadium</th>\n      <td>37109.250000</td>\n    </tr>\n    <tr>\n      <th>Tecnologico</th>\n      <td>22470.000000</td>\n    </tr>\n    <tr>\n      <th>Tres de Marzo</th>\n      <td>26000.000000</td>\n    </tr>\n    <tr>\n      <th>Tunavallen</th>\n      <td>13103.000000</td>\n    </tr>\n    <tr>\n      <th>Velodrome Municipale</th>\n      <td>9000.000000</td>\n    </tr>\n    <tr>\n      <th>Vicente Calderon</th>\n      <td>31333.333333</td>\n    </tr>\n    <tr>\n      <th>Victor Boucquey</th>\n      <td>15000.000000</td>\n    </tr>\n    <tr>\n      <th>Villa Park</th>\n      <td>43837.333333</td>\n    </tr>\n    <tr>\n      <th>Volksparkstadion</th>\n      <td>43500.000000</td>\n    </tr>\n    <tr>\n      <th>Waldstadion</th>\n      <td>60000.000000</td>\n    </tr>\n    <tr>\n      <th>Wankdorf Stadium</th>\n      <td>38900.000000</td>\n    </tr>\n    <tr>\n      <th>Wembley Stadium</th>\n      <td>86448.222222</td>\n    </tr>\n    <tr>\n      <th>Westfalenstadion</th>\n      <td>46925.000000</td>\n    </tr>\n    <tr>\n      <th>White City</th>\n      <td>45662.000000</td>\n    </tr>\n    <tr>\n      <th>Zentralstadion</th>\n      <td>42000.000000</td>\n    </tr>\n  </tbody>\n</table>\n<p>181 rows × 1 columns</p>\n</div>",
            "text/plain": "                                               Attendance\nStadium                                                  \nArena Amazonia                               40056.750000\nArena Fonte Nova                             50385.000000\nArena Pantanal                               39679.250000\nArena Pernambuco                             41020.666667\nArena da Baixada                             39247.750000\nArena de Sao Paulo                           62764.375000\nArosvallen                                   10904.000000\nArroyito - Estadio Dr. Lisandro de la Torre  26900.500000\nAyresome Park                                18209.000000\nBenito Villamarin                            45189.500000\nBombonera - Estadio Nemesio Diez             20000.000000\nBusan Asiad Main Stadium                     37411.666667\nCamp Nou                                     64000.000000\nCape Town Stadium                            63417.500000\nCarlos Dittborn                               9829.571429\nCarlos Tartiere                              20166.666667\nCavee Verte                                  11000.000000\nCharmilles                                   13367.500000\nCitrus Bowl                                  61265.800000\nComunale                                     36514.000000\nComunale di Cornaredo                        24000.000000\nCotton Bowl                                  58692.000000\nCuauhtemoc                                   26598.125000\nDacia Arena                                  34223.000000\nDaegu World Cup Stadium                      53746.750000\nDaejeon World Cup Stadium                    32031.333333\nDella Favorita                               33288.000000\nDurban Stadium                               62090.142857\nDurival de Brito                              8707.000000\nEl Molinon                                   41666.666667\n...                                                   ...\nSt. Jakob                                    36666.666667\nStade Felix Bollaert                         37050.000000\nStade Geoffroy Guichard                      30600.000000\nStade Municipal                              27000.000000\nStade Olympique                              44636.333333\nStade V�lodrome                              48444.444444\nStade de France                              78222.222222\nStade de Gerland                             39100.000000\nStade de la Meinau                           13452.000000\nStade du Parc Lescure                        26995.777778\nStadio Benito Mussolini                      14000.000000\nStadio Olimpico                              73373.000000\nStadio San Nicola                            43600.000000\nStadio delle Alpi                            61429.200000\nStanford Stadium                             81737.333333\nSuwon World Cup Stadium                      37109.250000\nTecnologico                                  22470.000000\nTres de Marzo                                26000.000000\nTunavallen                                   13103.000000\nVelodrome Municipale                          9000.000000\nVicente Calderon                             31333.333333\nVictor Boucquey                              15000.000000\nVilla Park                                   43837.333333\nVolksparkstadion                             43500.000000\nWaldstadion                                  60000.000000\nWankdorf Stadium                             38900.000000\nWembley Stadium                              86448.222222\nWestfalenstadion                             46925.000000\nWhite City                                   45662.000000\nZentralstadion                               42000.000000\n\n[181 rows x 1 columns]"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### By analyzing the above data I got to know that the stadium with highest attendance is Arena Amazonia."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "df3['Attendance'].plot()",
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 52,
          "data": {
            "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7fabbb5a7438>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Cities that hosted highest world cup matches\nmt_cu = df[\"City\"].value_counts().reset_index()\nplt.figure(figsize=(10,8))\nax = sns.pointplot(y=mt_cu[\"index\"][:15],x = mt_cu[\"City\"][:15],\n                 linewidth=1)\nplt.xlabel(\"number of matches\")\nplt.ylabel(\"City\")\nplt.grid(True)\nplt.title(\"Cities with maximum world cup matches\",color='b')\n\nplt.show()",
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 720x576 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### By analyzing the above graph I got to know that the city hosted maximum morld cup matches is Mexico City"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Average attendance by city\ncty_at = df.groupby(\"City\")[\"Attendance\"].mean().reset_index()\ncty_at = cty_at.sort_values(by=\"Attendance\",ascending=False)\n\nplt.figure(figsize=(15,5))\n\naxis = sns.pointplot(\"Attendance\",\"City\",\n            data=cty_at[:15],\n            linewidth =1 )\n\nplt.title(\"Average attendance by city\",color='b')\nplt.show()\n\n",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 1080x360 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### By analyzing the above graph and data the average attendance by city is Mexico City with 94000 (aprox)"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#World cup final results by nation\n\ncou = wc[\"Winner\"].value_counts().reset_index()\ncu_win = cou.copy()\ncu_win.columns = [\"country\",\"count\"]\ncu_win[\"type\"] = \"WINNER\"\n\n\nplt.figure(figsize=(10,10))\nsns.pointplot(\"count\",\"country\",data=cu_win,\n            linewidth=1)\n\nplt.title(\"Final results by nation\",color='b')\nplt.show()\n",
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 720x720 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### By analyzing the above data and graph I got to know that Brazil is the winner 5 times. "
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true
      },
      "cell_type": "code",
      "source": "#distribution of home goals and away goals\ndf3=df.groupby(['Year'])['Home Team Goals','Away Team Goals'].sum()\ndf3",
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 91,
          "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>Home Team Goals</th>\n      <th>Away Team Goals</th>\n    </tr>\n    <tr>\n      <th>Year</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1930.0</th>\n      <td>59.0</td>\n      <td>11.0</td>\n    </tr>\n    <tr>\n      <th>1934.0</th>\n      <td>48.0</td>\n      <td>22.0</td>\n    </tr>\n    <tr>\n      <th>1938.0</th>\n      <td>61.0</td>\n      <td>23.0</td>\n    </tr>\n    <tr>\n      <th>1950.0</th>\n      <td>69.0</td>\n      <td>19.0</td>\n    </tr>\n    <tr>\n      <th>1954.0</th>\n      <td>109.0</td>\n      <td>31.0</td>\n    </tr>\n    <tr>\n      <th>1958.0</th>\n      <td>88.0</td>\n      <td>38.0</td>\n    </tr>\n    <tr>\n      <th>1962.0</th>\n      <td>69.0</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>1966.0</th>\n      <td>69.0</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>1970.0</th>\n      <td>72.0</td>\n      <td>23.0</td>\n    </tr>\n    <tr>\n      <th>1974.0</th>\n      <td>51.0</td>\n      <td>46.0</td>\n    </tr>\n    <tr>\n      <th>1978.0</th>\n      <td>79.0</td>\n      <td>23.0</td>\n    </tr>\n    <tr>\n      <th>1982.0</th>\n      <td>97.0</td>\n      <td>49.0</td>\n    </tr>\n    <tr>\n      <th>1986.0</th>\n      <td>74.0</td>\n      <td>58.0</td>\n    </tr>\n    <tr>\n      <th>1990.0</th>\n      <td>67.0</td>\n      <td>48.0</td>\n    </tr>\n    <tr>\n      <th>1994.0</th>\n      <td>83.0</td>\n      <td>58.0</td>\n    </tr>\n    <tr>\n      <th>1998.0</th>\n      <td>98.0</td>\n      <td>73.0</td>\n    </tr>\n    <tr>\n      <th>2002.0</th>\n      <td>89.0</td>\n      <td>72.0</td>\n    </tr>\n    <tr>\n      <th>2006.0</th>\n      <td>86.0</td>\n      <td>61.0</td>\n    </tr>\n    <tr>\n      <th>2010.0</th>\n      <td>76.0</td>\n      <td>69.0</td>\n    </tr>\n    <tr>\n      <th>2014.0</th>\n      <td>99.0</td>\n      <td>107.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "        Home Team Goals  Away Team Goals\nYear                                    \n1930.0             59.0             11.0\n1934.0             48.0             22.0\n1938.0             61.0             23.0\n1950.0             69.0             19.0\n1954.0            109.0             31.0\n1958.0             88.0             38.0\n1962.0             69.0             20.0\n1966.0             69.0             20.0\n1970.0             72.0             23.0\n1974.0             51.0             46.0\n1978.0             79.0             23.0\n1982.0             97.0             49.0\n1986.0             74.0             58.0\n1990.0             67.0             48.0\n1994.0             83.0             58.0\n1998.0             98.0             73.0\n2002.0             89.0             72.0\n2006.0             86.0             61.0\n2010.0             76.0             69.0\n2014.0             99.0            107.0"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true
      },
      "cell_type": "code",
      "source": "sns.countplot(x='Home Team Goals',data= df)",
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 103,
          "data": {
            "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7fabba970320>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "sns.countplot(x='Away Team Goals',data= df)",
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 104,
          "data": {
            "text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x7fabbb48d6a0>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### By analyzing the above datas and graphs I got to know about the counts of Home team goals and Away team goals"
    },
    {
      "metadata": {
        "trusted": true,
        "scrolled": true
      },
      "cell_type": "code",
      "source": "#Teams with highest fifa world cup goals\nto_gl_h = df.groupby(\"Home Team Name\")[\"Home Team Goals\"].sum().reset_index()\nto_gl_h.columns = [\"team\",\"goals\"]\n\nto_gl_a = df.groupby(\"Away Team Name\")[\"Away Team Goals\"].sum().reset_index()\nto_gl_a.columns = [\"team\",\"goals\"]\n\ntotal_goals = pd.concat([to_gl_h,to_gl_a],axis=0)\ntotal_goals = total_goals.groupby(\"team\")[\"goals\"].sum().reset_index()\ntotal_goals = total_goals.sort_values(by=\"goals\",ascending =False)\ntotal_goals[\"goals\"] = total_goals[\"goals\"].astype(int)\n\nplt.figure(figsize=(10,12))\nax= sns.pointplot(\"goals\",\"team\",data=total_goals[:20],\n                linewidth=1,edgecolor=\"k\"*20)\n\n\nplt.title(\"Teams with highest fifa world cup goals\",color='b')\nplt.show()",
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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dmJeZkWaMHpjTpDdzbMTQ+dDcrG6blyltUwgVERGRmKurd7buqdjvZuwNvZnb9lZ16rgjBvRpcbh83OAcRg7oPfMyk4FCqIiIiHQ7d2dHaXWLw+UbiyvYsruC2vqOz8sc2Dezyf0yx0YMnY8ZqHmZyUQhVERERDplb2VNeIX5vpux77sQqIKKmo7Py8zJTG91uHzs4BzNy0whCqEiIiLSosqauqAHs4Xh8o3FFS0+lactGWnGmEE5+92MvaE3c0g/zcvsLRRCRUREeqnaunq27qnc72bsDWFze0nH52WawYj+2S0Ol48b3JeRA7JJT1PIFIVQERGRlOXuFJVWNR0ubwibu8rZsruSuk7MyxzUN3O/m7E39GaOGZSTUI+GlMSlECoiIpLE9lTU7Hcz9sbbGu0qp7KmvsPH7JuV3upw+dhBOQn5CEhJPgqhIiIiCSyYl9ksYEYs762s7fAxM9ONMQOb3Yw9ImwO1rxMiQGFUBERkThqnJfZ7GbsDb2ZRZ2clzlyQHaLw+XjBvdlhOZlSgJQCBUREelB7k5RSdW+gNksbG7d07l5mYP7Ze13M/aGsDl6YLbmZUrCUwgVERHpoj3lNRG9l017MzftqqCqtuPzMvtlpbc8XB7O08zto//CJbnpb7CIiEgbKqrDeZmt9GaWdGJeZlZ6GmMG5TS5GXtk2BzUN1PzMiWlKYSKiEivV1NXz9bdla30Zlawo7Rz8zJHDchucbh83OAcRvTPJk3zMqUXUwgVEZGUV1/fcL/Mlnszt+6poBPTMhnSL6vpzdgjwubogTlkZaR1/5sRSREKoSIikvTcPbxfZkWLvZmbdlVQ3Yl5mbl9MlodLh87KId+mpcp0mn61yMiIkmhvLo2eI55cdNHS27cVcGm4nJKqjo3L3Ns4xXm+4fNgZqXKdJjFEJFRCQh1NTVs2V3xX73yWx4GtCO0uoOHzPNYFReCxf/hMvD+/fRvEyROFEIFRGRmKivd7Y33i9z/9sYdXZe5tDcrP0eLdkQNkcPzCEzXfMyRRKRQqiIiHQLd2d34/0ymz3DvLicTbs7Ny+zf5+MZsPl4ddwXmbfLP1XJpKM9C9XRCTF7Sit4rcvvs8jS7ewp6KaycP7c+mxE/hUwbgOD0WXVUXMy2zhpuylnZmXmRHMy9zvNkbh67wczcsUSUUpFULN7Fzgn8DB7r6qh8+VD8x293vC1wXApe7+5Z48r4hIR2wvqeT8377OhuLyxnVvb93LN/+5nLc27eaWcw9pEvCqa8N5ma30Zu4s6/y8zOb3yWxYHpareZkivVFKhVDg08B/gIuAmyIbzCzd3eu68Vz5wMXAPQDuXggUduPxRUS67PZnVzcJoJHufXNjODxuwW2MisvZurcS79S8zD4RwbJpb+aogdmalyki+0mZEGpmucBxwCnAo8BNZnYycCOwFZgJTDOz7wGXABuBHcAid7/NzA4E7gCGAeXA1e6+yszuAvYCBcBI4Bvu/g/gVuBgM1sK3A0sAb7u7nPN7CZgPHBA+PXn7v7LsM6HgXFANvALd5/fox+MiPRatXX1PLJ0S9RtHly8uV3H6p+d0eJTf8YNCp5tnpOV3h0li0gvkjIhFDgHeMrdV5tZsZkdEa6fBcxw97XhkPl5wOEE730xsCjcbj7wOXdfY2ZHA78BTg3bRgHHA1MJAu4/gG8Shk6AMPBGmkoQiPsD75rZb929BrjC3YvNLAdYaGYPuvvO5m/GzK4BrgEYP358lz4YEemdymvqKK9u3wBQn4Z5mS09YnJQX/L6ZvZwtSLS26RSCP008PNw+e/h6yeAN919bbj+eOARd68AMLPHwq+5wGzggYi5UX0ijv2wu9cDb5vZiHbW84S7VwFVZrYdGAFsAr4czl2FoEd0MrBfCA17SOcDFBQUdGJwTER6u9ysDIbmZkW9v+YnDhnJTWdOZ1j/Prr4R0RiKiVCqJkNIei1nGFmDqQDDvwLKIvctJVDpAG73X1mK+1V7ThGtH3qgIywt3QOcKy7l5vZiwTD8iIi3S4tzfj0rPH86vn3Wmw34KtzpjB8gH4MiUjspcpM8fOBP7v7BHfPd/dxwFqCns9I/wHONLPssPfzDAB33wusNbMLACxwWBvnLCEYau+IPGBXGECnAsd0cH8RkQ75r1MmMfvAIS223XTWdKaM6OiPMRGR7pEqIfTTwEPN1j1IcPV6I3dfSDCn8y2CWzkVAnvC5kuAK83sLWAlcHYb51wG1JrZW2Z2XTvrfIqgR3QZ8ANgQTv3ExHplOzMdO6+YhaTh+c2rjvv8DE8+sXjuGx2fvwKE5Fez7wz9+JIYmaW6+6lZtYXeBm4xt0Xx7uuaAoKCrywUHd/EpHOK/jhs+worWby8Fye/dpJ8S5HRFKYmS1y94K2tkuJOaEdNN/MphHMxbw70QOoiEhXFZdVN16cpOF3EUkUvS6EuvvFbW8lIpI6Vm8raVyePCI3ypYiIrGTKnNCRUSkFWsiQqh6QkUkUSiEioikuNXbShuXFUJFJFEohIqIpLh3w57QrPQ08of0jXM1IiIBhVARkRTm7o3D8QcM60dGun7si0hi0E8jEZEUtqO0ml3lNQBM1lC8iCQQhVARkRTW5KKk4boyXkQSh0KoiEgKa3p7JvWEikjiUAgVEUlhq7fvuzL+oJEKoSKSOBRCRURS2OoPg57QPhlpjB+sK+NFJHEohIqIpCh3bxyOP3BYLulpFueKRET2UQgVEUlR20uq2FtZC8AUPa5TRBKMQqiISIrSRUkiksgUQkVEUlTk4zoPUggVkQSjECoikqKa3CNUIVREEoxCqIhIimp4ZnxOZjpjB+XEuRoRkaYUQkVEUpC78144HD9peC5pujJeRBKMQqiISArauqeSkqrgyvjJujJeRBKQQqiISAparfmgIpLgFEJFRFLQGl0ZLyIJTiFURCQFvdvkHqEajheRxKMQKiKSYtbuKOPNtcUA9M1KZ8xAXRkvIolHIVREJEXsKa/hqrsLOeW2F9lQXA5AZU0dv3/lA9w9ztWJiDSVEe8CWmJmI4DbgWOAXUA18FN3fyiuhXWAma0DSoC6cNUXgC3AO8C7QBZQCFzp7jXxqFFEUoe7c/WfC3lzXXGT9fUOt/xrFX2zMvjMMRPiVJ2IyP4SrifUzAx4GHjZ3Q9w9yOBi4CxHThGek/V10GnuPvM8M9r4br33X0mcAjBe/pU/MoTkVTx2vs79wugkX71/Bpq6+pjWJGISHQJF0KBU4Fqd/9dwwp3X+/uv4IgYJrZ/5jZQjNbZmbXhutPNrMXzOweYLmZ5ZvZKjO708xWmNnfzGyOmb1qZmvMbFa43ywze83MloRfDwrXzzOzf5rZU+H2Pw3XX2lmtzfUZmZXm9n/dvRNunsd8CYwpvMflYhI4OU1RVHbt+2tavIseRGReEvEEDodWByl/Upgj7sfBRwFXG1mE8O2WcB33H1a+HoS8AvgUGAqcDFwPPB14NvhNquAE939cOAG4JaIc80ELiTotbzQzMYBfwfOMrPMcJvLgT+1UusLZrbUzN5o3mBm2cDRwFMt7Whm15hZoZkVFhVF/89FRIR2TPn09mwkIhIjiRhCmzCzO8zsLTNbGK46HbjUzJYCbwBDgMlh25vuvjZi97Xuvtzd64GVwHMezM5fDuSH2+QBD5jZCoJ5qNMj9n/O3fe4eyXwNjDB3cuA54G5ZjYVyHT35a2U3zAcf3TEugPD2ncCG9x9WUs7uvt8dy9w94Jhw4ZF/5BEpNebPWlo1PZh/fvopvUiklASMYSuBI5oeOHu/wWcBjQkMQO+FDHXcqK7PxO2lTU7VlXEcn3E63r2XZT1A+AFd58BnAlkt7J/XcQ+dwLziN4L2pqGOaGTgGPM7KwO7i8isp8TJg3lsHEDW23//EkHkpmeiD/yRaS3SsSfSM8D2Wb2+Yh1fSOWnwY+3zAcbmZTzKxfF86XB2wOl+e1Zwd3fwMYRzC8f29nTuruW4FvAt/qzP4iIpHS0ow/XlZA/pC+Tdb3yUjjujlTuPy4/PgUJiLSioQLoeFw+TnASWa21szeBO4G/jvc5E6CofHF4RD6/9G1W039FPixmb0KdOSq+vuBV919VxfO/TDQ18xO6MIxREQAGJLbh4lD9/1O/v2zp7HgW6fxlTmTCW48IiKSOEw3MO4cM3scuN3dn+vpcxUUFHhhYWFPn0ZEklxtXT0zv/8spVW1TBmRyzPXnRTvkkSkFzKzRe5e0NZ2CdcTmujMbKCZrQYqYhFARUTaa8WWvZRW1QJw7AFD4lyNiEh0CfnEpETm7ruBKfGuQ0Skudff39m4fOyBCqEiktjUEyoikiJe/2BfCJ01USFURBKbQqiISAqoqaunMHxs59SR/RncLyvOFYmIRKcQKiKSApZt2kN5dR2goXgRSQ4KoSIiKWBBxFC8LkoSkWSgECoikgIaLkoyg6M1H1REkoBCqIhIkquqraNwfTAfdNqoAeT1zYxzRSIibVMIFRFJcss27aGyph7QULyIJA+FUBGRJKf7g4pIMlIIFRFJcg0hNM3gqImD41yNiEj7KISKiCSxypo6Fm3YBcCMMXkMyNZ8UBFJDgqhIiJJbOnG3VTXaj6oiCQfhVARkSQWOR/0GM0HFZEkohAqIpLEGp4Xn55mHJWv+aAikjwUQkVEklRlTR1LN+wG4JAxeeT2yYhzRSIi7acQKiKSpBav30V1XTgfVEPxIpJkFEJFRJLU63pevIgkMYVQEZEk1XBRUkaaUZA/KM7ViIh0jEKoiEgSKq+u5a1NwXzQw8YNpG+W5oOKSHJRCBURSUKL1u+ips4BDcWLSHJSCBURSUJ6XryIJDuN34iIJJGlG3dzzxvr+dfyrUAwH/TwcQPjXJWISMepJ7QTzKw0/JpvZhe3Y/t8M1vR85WJSCr71XNrOOeOV7m/cBOlVXUA1NY7Nzy6kvp6j3N1IiIdoxDaNflAmyFURKSrFnywk589u7rFtn8s2sQDizbGuCIRka5RCO2aW4ETzGypmV0X9ni+YmaLwz+zm+8Qts+MeP2qmR0a06pFJOn8dcH6qO1/aaNdRCTRKIR2zTeBV9x9prvfDmwHPuLuRwAXAr9sYZ87gXkAZjYF6OPuy2JUr4gkqfeLyqK2f9BGu4hIolEI7V6ZwO/NbDnwADCthW0eAOaaWSZwBXBXSwcys2vMrNDMCouKinqqXhFJAuXVtZRU1kTdZlDfrBhVIyLSPXR1fPe6DtgGHEYQ8Cubb+Du5Wb2LHA28CmgoKUDuft8YD5AQUGBrjgQ6YXcnSeWb+VHT7zD1j37/Thp4pNHjIlRVSIi3UMhtGtKgP4Rr/OATe5eb2aXAemt7Hcn8BjBUH5xD9coIklo9bYSbnxkZZPnw6enGXUtXAU/ZUQuV51wQCzLExHpMoXQrlkG1JrZWwTD6r8BHjSzC4AXgBYnabn7IjPbC/wpVoWKSHLYW1nDL/69hrteW9ckcF5w5Fi++pHJPLR4M/e8sYEteyoZ1DeT848cyxdPmUxeTmYcqxYR6Thz10hvrJnZaOBFYKq717e1fUFBgRcWFvZ4XSISP/X1zj+XbObWJ1exo7Sqcf0hY/K4+ezpHDF+UJPta+rqyUgzzCzWpYqIRGVmi9y9xemGkdQTGmNmdinwI+Br7QmgIpL6Vmzeww2PrGDxht2N6wb1zeT6j07lwqPGkZ62f9DMTNd1pSKS3BRCY8zd/wz8Od51iEj87Sqr5n+eeZd739xAw6BUmsElR0/g/50+hYG64l1EUphCqIhIjNXVO/e+uYHbnnmX3eX7br1UMGEQN589nemj8+JYnYhIbCiEiojE0KL1xdzwyEpWbtnbuG5Y/z58+xNTOWfmGM3xFJFeQyFURCQGtpdUcuuTq/jn4s2N6zLSjMuPy+fLp02mf7aubheR3kUhVESkB9XU1XP3a+v4+b/XUFpV27j+uElDuOnM6Uwe0T/K3iIiqUshVESkh7z63g5uenQla7aXNq4bnZfN9+ZO42MzRmroXUR6NYVQEZFutmV3BT964h2eWL61cV1WRhrXnngAXzh5EjlZrT1MTUSk91AIFRHpJlW1ddz5ylp+/fx7VNTUNa6fc/Bwvjd3GhOG9ItjdSIiiUUhVESkGzybSRPqAAAgAElEQVS/ahvff+xt1u0sb1yXP6QvN545nVOmDo9jZSIiiUkhVESkC9bvLOP7j73Nc6u2N67LyUzni6dO4qoTJtInQ0PvIiItUQgVEemE8upafvPC+8x/+QOq6/Y9gfeMQ0fxnU8czOiBOXGsTkQk8SmEioh0gLvz5IoP+eHjb7NlT2Xj+snDc7n5rOnMnjQ0jtWJiCQPhVARkXZas62Emx5byavv7Wxc179PBl/9yBQuPXYCmelpcaxORCS5KISKiLShpLKGXz63hj+9uo7aem9cf94RY/nvjx/E8P7ZcaxORCQ5KYSKiLTC3XloyWZ+/OQqikqqGtfPGDOAm8+awZETBsWxOhGR5KYQKiLSghWb93DToyspXL+rcd3Avplc/9GDuOio8aSn6WlHIiJdoRAqIhJhd3k1tz3zLve8sYGGkXczuHjWeL5++kEM6pcV3wJFRFKEQqiICFBX79y3cCP/8/QqdpXXNK4/YvxAvn/2DGaMyYtjdSIiqUchVER6vcUbdnHjIytZvnlP47qhuX341sencu7hY0jT0LuISLdTCBWRXquopIqfPLWKfyza1LguPc24fHY+X54zmQHZmXGsTkQktSmEikivU1NXz19eX8/tz66mpKq2cf3sA4dw01nTmTKifxyrExHpHRRCRSQlVVTXsaO0ioF9M+kf0aP5+vs7uenRlby7raRx3ai8bL57xjQ+cchIzDT0LiISCwqhIpJS9pTXcOtT7/DQks1U1tSTkWZ8bMZIrjp+Inf+Zy2PL9vauG1WehrXnHgAXzjlQPpm6cehiEgs6acuYGZ1wPKIVee4+7o4lSMinVReXctFv1/AO1v3Nq6rrXceX7aVJ5ZtxSO2PXXqcG6YO438of1iX6iIiCiEhircfWZrjWaW4e61rbWLSGK4b+HGJgE0UkMAHT+4LzeeOY3TDh4Ru8JERGQ/CqGtMLN5wBlANtDPzM4CHgEGAZnAd939ETPLB54E/gPMBjYDZ7t7hZlNAn4HDAPqgAvc/X0zux74FNAHeMjdb4zlexNJVU9EDLW3JLdPBs9cdyLZmekxqkhERFqTFu8CEkSOmS0N/zwUsf5Y4DJ3PxWoBM519yOAU4Cf2b4rGCYDd7j7dGA3cF64/m/h+sMIAupWMzs93H4WMBM40sxObF6QmV1jZoVmVlhUVNT971gkBZVWRR+wMFAAFRFJEOoJDbQ2HP+suxeHywbcEgbGemAM0DCet9bdl4bLi4B8M+sPjHH3hwDcvRIgDKGnA0vC7XMJQunLkSd29/nAfICCgoLIqWwi0oppowew6sOSqO0iIpIYFEKjK4tYvoRgWP1Id68xs3UEQ/UAVRHb1QE5BKG1JQb82N3/r5trFen15s3O56HFm2ntt7bLj5sY03pERKR1Go5vvzxgexhATwEmRNvY3fcCm8zsHAAz62NmfYGngSvMLDdcP8bMhvdw7SK9wqFjB/KDs6e32PbVOZP52IyRMa5IRERao57Q9vsb8JiZFQJLgVXt2OezwP+Z2feBGoILk54xs4OB18MppaXAZ4DtPVO2SO8yMi+ncXnSsFxOmzac848Yy2Q9BUlEJKGYu6YbJrqCggIvLCyMdxkiSeG6+5by0JLNADz0hdkcPn5QnCsSEeldzGyRuxe0tZ2G40UkZVTW1PHs29sAGDMwh5njBsa5IhERaY1CqIikjJdWFzXepmnuoaP0HHgRkQSmECoiKSPyZvVnHDoqjpWIiEhbFEJFJCVU1tTx73eCofjxg/tyyJi8OFckIiLRKISKSEp4YdV2yqvrgKAXVEPxIiKJTSFURFLC48sjhuIP0VC8iEiiUwgVkaRXXl3L8+8Et9qdOLQf0/V4ThGRhKcQKiJJ7/lV26moCYfiD9FQvIhIMlAIFZGkp6viRUSSj0KoiCS10qpanl8VDMUfOKwfU0fq8ZwiIslAIVREktpz72yjqrYegDMOHa2heBGRJKEQKiJJLXIofq6G4kVEkoZCqIgkrZLKGl5cXQTAlBG5TBmhoXgRkWShECoiSevf72yjumEo/pDRca5GREQ6QiFURJKWrooXEUleCqEikpT2VNTwUjgUP3VkfyYNz41zRSIi0hEKoSKSlJ59exs1dQ7ogiQRkWSkECoiSemJZVsal884VPNBRUSSjUKoiCSd3eXVvLJmBwDTRw9g4tB+ca5IREQ6SiFURJLOMyu3UVsfDMXrgiQRkeSkECoiSefx5RE3qNetmUREkpJCqIgkleKyal59LxiKP3RsHuOH9I1zRSIi0hkZ8S5ARKQ9Sqtq+deyrTy5Yit1DUPxh2goXkQkWSmEikjCe37VNr7y96WUVNY2We8ep4JERKTLUnY43sxGmNk9ZvaBmS0ys9fN7Nx41yUiHfPe9lI+99fF+wVQgJ88tYrX398Zh6pERKSrUjKEmpkBDwMvu/sB7n4kcBEwtp37p/dkfSLSfne9trbx+fDNOfD7Vz6IbUEiItItUjKEAqcC1e7+u4YV7r7e3X9lZulm9j9mttDMlpnZtQBmdrKZvWBm9wDLzSzfzFaZ2Z1mtsLM/mZmc8zsVTNbY2azwv1mmdlrZrYk/HpQuH6emf3TzJ4Kt/9puP5KM7u9oS4zu9rM/jeWH45IMlm0fnfU9sJ1xTGqREREulOqhtDpwOJW2q4E9rj7UcBRwNVmNjFsmwV8x92nha8nAb8ADgWmAhcDxwNfB74dbrMKONHdDwduAG6JONdM4ELgEOBCMxsH/B04y8wyw20uB/7UvEgzu8bMCs2ssKioqENvXiSVZGVE/zHVJ1MDFyIiyahXXJhkZncQhMdqYD1wqJmdHzbnAZPDtjfdfW3ErmvdfXl4jJXAc+7uZrYcyI/Y/24zm0wwOpgZsf9z7r4n3P9tYIK7bzSz54G5ZvYOkNlwjkjuPh+YD1BQUKDLL6TXOmrCQN7a2Hpv6JyDR8SwGhER6S6pGkJXAuc1vHD3/zKzoUAhsAH4krs/HbmDmZ0MlDU7TlXEcn3E63r2fXY/AF5w93PNLB94sZX96yL2uZOgJ3UVLfSCikhg3Y4yHlu2tdX2vJxMPn/SgTGsSEREukuqDsc/D2Sb2ecj1jXc0fpp4PMNw+FmNsXMuvLg6Txgc7g8rz07uPsbwDiC4f17u3BukZT1QVEpF85/nW17g9/lBuRkNmk/YvxA7r36GN2sXkQkSaVkT2g4ZH4OcLuZfQMoIujl/G/gAYKh9MXhVfRFwDldON1PCYbjv0YQftvrfmCmu+/qwrlFUtJ720u5+PcL2F4SBNCjJw7mj/OOorismk27Khg+oA8HDsuNc5UiItIV5rrbc1yY2ePA7e7+XFvbFhQUeGFhYQyqEom/97aXcNH8N9hRGgTQYw8Ywh/mFdA3KyV/ZxYRSTlmtsjdC9raLlWH4xOWmQ00s9VARXsCqEhvsnpbCRfNX9AYQI+fNJQ/zjtKAVREJAXpJ3uMuftuYEq86xBJNKs+3MvFv3+D4rJqAE6YPJTfX1pAtm7BJCKSkhRCRSTu3t6yl0vuXMCu8hoATj5oGL/7zJEKoCIiKUwhVETiasXmPXzmD2+wOwygp04dzm8/cwR9MhRARURSmUKoiMTN8k1BAN1TEQTQOQcP545LFEBFRHoDhVARiYu3Nu7ms394g72VtQCcPm0Ev774iDYf0ykiIqlBIVREYm7Jhl1c+sc3KQkD6Memj+RXFx9OZroCqIhIb6Gf+CISU4vW7+LSP+wLoGccMkoBVESkF1JPqIjEzKL1xVz2x4WUVgUBdO6ho/j5hTPJUAAVEel1FEJFJCYWritm3h/fpKy6DoCzZ47mZxccpgAqItJLKYSKSI9744OdXH7XQsrDAHru4WO47YLDSE+zOFcmIiLxohAqIj3q9fd3csVdC6moCQLoeUeM5afnH6oAKiLSyymEikiPefW9HVx590Iqa+oBuODIsdx6ngKoiIgohIpID3llTRFX3V1IVW0QQC86ahy3nHsIaQqgIiKCQqiI9ICXVhdx9Z8LqQ4D6MVHj+eHZ89QABURkUa6LFVEutUL725vEkA/c4wCqIiI7E89oSLSbZ57Zxuf/+tiquuCADpvdj43njkNMwVQERFpSiFURLrFs29v4wt/W0RNnQNwxXET+d7cgxVARUSkRQqhItJlT634kC/es5ja+iCAXn3CRL79CQVQERFpnUKoiHTJk8u38qV7lzQG0GtPOoBvfmyqAqiIiESlECoinfb4si185e9LqQsD6BdOPpDrP3qQAqiIiLRJIVREOuXRt7Zw3X37AuiXTp3E1z4yRQFURETaRSFURKKqq3ceWrKZe9/cwIbickYOyGbKiFweWrKZMH/yldMm89U5kxVARUSk3RRC22Bm3wEuBuqAeuBad3+jg8c4C5jm7rf2QIkiPaa+3vna/Ut5ZOmWxnVFJVUs37yn8fV1c6bwlTmT41GeiIgkMYXQKMzsWGAucIS7V5nZUCCro8dx90eBR7u7PpGe9q8VW5sE0OZOnjJMAVRERDpFT0yKbhSww92rANx9h7tvMbN1ZvYTM3sz/DMJwMzONLM3zGyJmf3bzEaE6+eZ2a/D5bvM7Jdm9pqZfWBm58ft3Ym04f7CTVHbt+6pjFElIiKSahRCo3sGGGdmq83sN2Z2UkTbXnefBfwa+Hm47j/AMe5+OPB34ButHHcUcDxBL2uLQ/Rmdo2ZFZpZYVFRUXe8F5EO27q7Imr7lj3R20VERFqjEBqFu5cCRwLXAEXAfWY2L2y+N+LrseHyWOBpM1sOXA9Mb+XQD7t7vbu/DYxo5dzz3b3A3QuGDRvW9Tcj0gljBuVEbx8YvV1ERKQ1CqFtcPc6d3/R3W8Evgic19AUuVn49VfAr939EOBaILuVw1ZFLOtyYklYFx01rkvtIiIirVEIjcLMDjKzyKsuZgLrw+ULI76+Hi7nAZvD5ct6vkKRnvXR6SO54MixLbadctAwLjlmQowrEhGRVKGr46PLBX5lZgOBWuA9gqH5uUAfM3uDIMh/Otz+JuABM9sMLAAmxrxikW5kZvzkvEOZOqo/P3j8HQCG9+/D/zt9Cp88YiyZ6fo9VkREOkchNAp3XwTMbr4+vCH3He5+c7PtHwEeaeE4dwF3hcvzmrXldle9Ij0hLc2YOW5g4+vPHjOBC48aH8eKREQkFagbQ0TatKO0unF5SG6fOFYiIiKpQj2hneDu+fGuQSSWisv2hdDB/Tr8vAYREZH9qCdURNq0s3TfDR2G5iqEiohI1ymEikibNBwvIiLdTSFURNqk4XgREeluCqEi0qadZcFwfGa6MSBbU8lFRKTrFEJFpE07w+H4wf2yGm5RJiIi0iUKoSLSpp3hcPyQfpoPKiIi3UMhVESiqq93djWEUF0ZLyIi3UQhVESi2ltZQ229AzBEFyWJiEg3UQgVkah0eyYREekJCqEiEpVuzyQiIj1BIVREotLTkkREpCcohIpIVDub9IRqOF5ERLqHQqiIRLWzyZxQ9YSKiEj3UAgVkaiKyyKG49UTKiIi3UQhVESi2hE5HK+eUBER6SYKoSISVcOFSX0y0uiXlR7nakREJFUohIpIVMWNj+zUc+NFRKT7KISKSFQNFybpRvUiItKdFEJFpFV19c6u8iCE6kb1IiLSnRRCRaRVu8urCR8br9sziYhIt1IIFZFWvbe9tHF5UF+FUBER6T4Z8S5ARBJPWVUtNzyykoeWbGpcd9/CDcwYM4BzDx8bx8pERCRVJGxPqJm5mf0s4vXXzeymNvY52cxmR7y+y8zO72Id68xsaFeOEXGs0ra3Eokvd+dzf13Eg4s3NQ7FA5RW1XHdfW/x+LIt8StORERSRsKGUKAK+GQHA+DJwOy2NmoPCyTy5yPSIxZ8UMwra3a02v6/z6ymPjKdioiIdEIih6xaYD5wXfMGMxtmZg+a2cLwz3Fmlg98DrjOzJaa2Qnh5iea2Wtm9kFkr6iZXR/uu8zMbg7X5ZvZO2b2G2AxMK7ZeR82s0VmttLMrolYX2pmPzKzt8xsgZmNCNdPNLPXw/P8IGL7UWb2cljniohaReLu+VXborZ/sKOMtTvLYlSNiIikqkQOoQB3AJeYWV6z9b8Abnf3o4DzgDvdfR3wu3D9THd/Jdx2FHA8MBe4FcDMTgcmA7OAmcCRZnZiuP1BwJ/d/XB3X9/svFe4+5FAAfBlMxsSru8HLHD3w4CXgasj6vxtWOeHEce5GHja3WcChwFLm79xM7vGzArNrLCoqKjtT0qkm9TUtd3LWduObURERKJJ6BDq7nuBPwNfbtY0B/i1mS0FHgUGmFn/Vg7zsLvXu/vbwIhw3enhnyUEPZ5TCUIpwHp3X9DKsb5sZm8BCwh6SRv2qQYeD5cXAfnh8nHAveHyXyKOsxC4PJzjeoi7lzQ/kbvPd/cCdy8YNmxYK+WIdL9ZEwdHbR/SL4uJQ/vFqBoREUlVCR1CQz8HriTobWyQBhwb9njOdPcxLQW5UFXEskV8/XHE/pPc/Q9hW4vjjGZ2MkH4PTbs8VwCZIfNNe7e0DVUR9O7DuzXZeTuLwMnApuBv5jZpa3ULhJzH5k2ggOGtR4yrzrhALIykuFHh4iIJLKE/5/E3YuB+wmCaINngC82vDCzmeFiCdBaj2ikp4ErzCw33H+MmQ1vY588YJe7l5vZVOCYdpznVeCicPmSiHonANvd/ffAH4Aj2nEskZjITE/j7stnkZPZ9MeDAVceP5FrTzwgPoWJiEhKSZb7hP6MiNBJMDx/h5ktI3gPLxNclPQY8A8zOxv4UmsHc/dnzOxg4HUzAygFPkPQi9map4DPhed8l2BIvi1fAe4xs68AD0asPxm43sxqwnOrJ1QSSnqaUVFTD8D4wX2ZNzufj0wbwbjBfeNcmYiIpArbN4osiaqgoMALCwvjXYb0Ine+8gE/fOIdAH54zgw+c8yEOFckIiLJwswWuXtBW9sl/HC8iMTe48u2ApBm8PEZI+NcjYiIpCKFUBFpYmNxOUs37gZg9oFDGZLbJ84ViYhIKlIIFZEm/rV8a+Py3ENHxbESERFJZQqhItLEE2EITU8zPjpdQ/EiItIzFEJFpNH6nWUs27QHgOMmDWVQv6w4VyQiIqlKIVREGj2hoXgREYkRhVARafREeFV8Zrrx0WkaihcRkZ6jECoiAKzdUcbKLXsBOH7SUPL6Zsa5IhERSWUKoSICwBPLtjQuzz10dBwrERGR3kAhVESAfTeoz0pPY860EXGuRkREUp1CqIjw3vYSVn1YAsCJU4aSl6OheBER6VkKoSLCE8s+bFzWULyIiMSCQqiI8Hg4HzQrI43TDh4e52pERKQ3UAgV6eVWbythzfZSAE45aBj9szUULyIiPU8hVKSXa7ggCeAMDcWLiEiMKISK9GLu3jgUn52ZxmlTNRQvIiKxoRAq0out+rCED4rKADh16nD69cmIc0UiItJbKISK9GJPRA7FH6KheBERiR2FUJFeKnIoPicznVOmDotzRSIi0psohIr0Uiu37GXdznIATjt4OH2zNBQvIiKxoxAq0ktFXhU/99BRcaxERER6I4VQkV7I3XlieTAU3y8rnZMP0lXxIiISWxp/E+lFisuq+ceijby0uoiNxRUAnHbwCLIz0+NcmYiI9DYpH0LNrNTdcyNezwMK3P2L8atKJPYWrivmyrsWsreytsn6NdtKqKiuIydLQVRERGJHw/ExZGYpH/olMZVW1XL13YX7BVCAdz4s4dYn34lDVSIi0pv16hBqZneZ2fkRr0vDryeb2Ytm9g8zW2VmfzMzC9s+Ea77j5n90sweD9fPMrPXzGxJ+PWgcP08M3vAzB4DnjGzv5jZ2RHn/JuZnRXTNy69zqNLt7C7oqbV9gcWbaKsav+AKiIi0lN6Q89cjpktjXg9GHi0HfsdDkwHtgCvAseZWSHwf8CJ7r7WzO6N2H5VuL7WzOYAtwDnhW3HAoe6e7GZnQRcBzxiZnnAbOCyLrw/kTa9s3Vv1Pby6jo2FJdz8KgBMapIRER6u94QQivcfWbDi4Y5oe3Y70133xTusxTIB0qBD9x9bbjNvcA14XIecLeZTQYcyIw41rPuXgzg7i+Z2R1mNhz4JPCgu+/XBWVm1zQce/z48e18qyItG5DT9j/1ATmZbW4jIiLSXXr1cDxQS/gZhMPtWRFtVRHLdQSB3aIc6wfAC+4+AzgTyI5oK2u27V+AS4DLgT+1dDB3n+/uBe5eMGyYnmQjXXPmYdEfyXn4+IGMGZgTo2pEREQUQtcBR4bLZ9O097Ilq4ADzCw/fH1hRFsesDlcntfGce4Cvgrg7ivbU6hIV0wdOYCj8ge12NYnI43vnjEtxhWJiEhv19tD6O+Bk8zsTeBo9u+xbMLdK4AvAE+Z2X+AbcCesPmnwI/N7FUg6r1u3H0b8A6t9IKKdLfismpWbyvdb/0Jk4dy/7XHcuSElgOqiIhITzF3j3cNScXMct29NBy+vwNY4+63d/AYfYHlwBHuvqet7QsKCrywsLBzBYsA335oOfe8sQGAq46fyDUnHUBOZjr9szUPVEREupeZLXL3Nq+/6e09oZ1xdXih0kqCIfj/68jO4ZXzq4BftSeAinTVis17uPfNIIAO69+Hr8yZzPD+2QqgIiISV73h6vhuFfZ6dqjns9n+/wZ0ubvERH29c8MjK2gY8PjWx6cqfIqISEJQT6hICntoyWYWb9gNwJETBnHu4WPiXJGIiEhAIVQkRZVU1vDjJ1cBYAY3nzWd8MFfIiIicacQKpKifvncGnaUBre7/fSs8cwYkxfnikRERPZRCBVJQe9tL+FPr64DIC8nk+tPPyi+BYmIiDSjECqSYtydmx97m9r64Gqkr58+hUH9strYS0REJLYUQkVSzNMrt/HKmh0AHDxqABcfPSHOFYmIiOxPIVQkhVTW1PGDx99ufH3zWdNJT9PFSCIikngUQkVSyG9ffJ/NuysAOGfmaGZNHBznikRERFqmECqSIjYWl/O7l94HoF9WOt/6xMFxrkhERKR1CqEiKeKHT7xNVW09AF86bTIjBmTHuSIREZHWKYSKpIBX1hTx9MptABwwtB9XHDcxzhWJiIhEpxAqkuSqa+u56dGVja9vOHMaWRn6py0iIolN/1OJJLm7X1vH+0VlAMw5eAQnHzQ8zhWJiIi0TSFUJIlt31vJL55bA0BWRho3zJ0W54pERETaRyFUJInd+uQqSqtqAbj2xAMYP6RvnCsSERFpH4VQkSS1aH0x/1yyGYDRedl84eRJca5IRESk/RRCRZJQXb1zwyP7Lkb67txp5GSlx7EiERGRjlEIFUlCf1+4gZVb9gIw+8AhfHzGyDhXJCIi0jEKoSJJZnd5Nbc9/S4A6WnGTWdNx0zPhxcRkeSiECqSZH72zGp2ldcAcNmx+UwZ0T/OFYmIiHRcRrwLEJG21dc7ZdW1rNtRzt/eWA/A0NwsvvqRyXGuTEREpHMUQkUSWHl1Lb96/j3uW7iR4rJq0g3qPWj7xsemMiA7M74FioiIdFLKh1Azywced/cZEetuAkrd/bY4lSXSpsqaOj77hzdZtH5X47q6MIBmZ6TxkWkj4lSZiIhI12lOaMjMUj6QS3J5YNGmJgE0UmVtPXe9ui62BYmIiHSjXh1CzexFM7vFzF4CvmJmd5nZ+RHtpeHXNDP7jZmtNLPHzexfDduZ2TozGxouF5jZi+HyLDN7zcyWhF8PCte/YmYzI87xqpkdGrt3Lcni0aWbo7Y/0ka7iIhIIuvVITQ00N1PcvefRdnmk0A+cAhwFXBsO467CjjR3Q8HbgBuCdffCcwDMLMpQB93X9Z8ZzO7xswKzaywqKiove9FUkjDFfCdbRcREUlkvSGEehvr72vHMY4HHnD3enf/EHihHfvkAQ+Y2QrgdmB6uP4BYK6ZZQJXAHe1WJz7fHcvcPeCYcOGteN0kmqmjMjtUruIiEgi6w0h9P+zd99hdpXl+se/dya9k2oIJEMJCUgJZBBCE1BUBEUOxYJC0CPqwSMcRcWjR1F/drGgogSlihIR8Ahy6FUIkElII0CCEGpIb5NMkinP74+9ZrIzmZZkz1673J/rmitr3tWevZhMbt73XWutBHZr0TYEWJEsb8hqrye5Jso8/btn0t7ek8Cb9wF6Z7V/F3gouSHqA03rImIjcB9wGnA28Kcd+CxWRj5+5Nh2139icmV+CjEzM+sCJR9CI6IGWCLpXQCShgDvA/7ZyuaLgUnJ8mlA0/Nv/gmckcwNHQkc38Y+Z2S1DwKaJu1NaXGe3wNXADMiYtUOfSArG0ftM4wvv3d8q+umHFXJBw4eleeKzMzMcqfkQ2jiXOAbkmYDDwLfjoh/tbLd1cA7JT0NHMHWXtJbgdeB+cBVwFPA2mTdt4FfSnoMaMg61o+BH0h6HKjIPklEzATWAdfm4LNZCbvwhH357TmHNX+/38j+/PWzk/2qTjMzK3pl8ViiiFgAnNBK+/Etvl8KHJnV9LWkvVHSJRFRI2ko8DQwL1n3GLBfK8ee3qL9f5oWJO1O5n8A7t3Jj2RlZLd+PZuXTz90D6oqh6RYjZmZWW6URQjNkTslDSYzT/S7yQ1KO0zSucD3gC9GRGMuC7TStGrDlubloVmB1MzMrJh1GEIlnUrmJpuxyfYCIiIGdnFtBaVlr+kuHOcG4IZcHMvKw8qazc3LQ/s7hJqZWWnoTE/oL8g8J3NeRLT1uCMz6yIrarJ6Qvv3SrESMzOz3OnMjUmvAfMdQM3S4eF4MzMrRZ3pCf0KcFfyasvmccGI+FmXVWVmzVZu8HC8mZmVns6E0O8BNWQetu5/Ac3ybGUyHN+7Rzf69vS9hGZmVho68y/akIh4T5dXYmatWpkMxw/t5/mgZmZWOjozJ/R+SQ6hZilpujt+mIfizcyshHQmhF4I3C2pVtI6SeslrevqwswM6hsaWVNbB8AQ35RkZmYlpMPh+IgYkI9CzP+gHdcAACAASURBVGx7qzfW0fRcCj+eyczMSkmn7nKQtBswjszNSQBExKNdVZSZZfjxTGZmVqo688akfwcuAvYAZpN5t/p04MSuLc3M/LYkMzMrVZ2ZE3oRcDjwSkScABwKLO/SqswMgBXb9IR6ON7MzEpHZ0LopojYBCCpV0Q8D4zv2rLMDGBVVk/oEPeEmplZCenMnNDXJQ0G/gbcJ2k18GbXlmVmsPUZoQDD3BNqZmYlpDN3x5+eLF4m6SFgEHB3l1ZlZsC2IdRzQs3MrJR09u74Y4BxEXGtpOHAaODlLq3MzLa5McnPCTUzs1LS4ZxQSd8Cvgp8LWnqAfyxK4sys4ym98b379Wd3j0qUq7GzMwsdzpzY9LpwAeBDQAR8SbgB9ib5UHTc0LdC2pmZqWmMyF0S0QEEACS+nVtSWbWZEUyHO/5oGZmVmo6E0L/IukqYLCkTwP3A1d3bVlmtqW+kXWb6gE/I9TMzEpPZ25MGg78FVhH5vmg3wTe3ZVFmRms3uhXdpqZWenqTAg9KSK+CtzX1CDpcjI3K5lZF4gIHlu09cVkfXr6piQzMystbYZQSZ8D/gPYW9LcrFUDgMe7ujCzcrVkbS3/cdMsnnl1TXPbDdMXM7BPD/7r3eOQlF5xZmZmOdJeT+ifgP8DfgBcmtW+PiJWdWlVXUBSAzAvq+nmiPjhTh6rJiL656CmSuDOiDhwV49lpaG+oZEp18zghaXrt2lvDLjigUXs1rcH5x+9V0rVmZmZ5U6bITQi1gJrgY/mr5wuVRsRE9Muwqw99z+3bLsAmu13j/yLTxw5lu4Vnbmn0MzMrHCV/b9kkhZL+rakWZLmSZqQtA+XdF/SfpWkVyQNa7Fvf0kPZO17WtJeKek5SVdLelbSvZL6JOsmSZojaTpwYd4/sBW0J19a2e76pes28/KKDXmqxszMrOuUUwjtI2l21teHs9atiIjDgN8ClyRt3wIeTNpvB8a0csxNwOnJNicAl2vrhL1xwG8i4u3AGuCMpP1a4AsRMbm9YiVdIKlaUvXy5cvb29RKSLdOzPfs1s1zQs3MrPiVUwitjYiJWV/Tstbdlvw5E6hMlo8BbgaIiLuB1a0cU8D3kxu37gdGAyOTdS9HxOzs40oaBAyOiEeS9hvbKjYipkZEVURUDR8+fIc+qBWv48e3/9967NC+7DXU74swM7PiV04htD2bkz8b2DpPtjPdTeeQeY7qpGS+6VKgd4tjZh9XJG+eMmvNMfsO4/DK3dpcf/G7x7kn1MzMSoJDaNv+CZwNIOk9QGvJYBCwLCLqJJ0AjG3vgBGxBlgr6Zik6Zwc1msloFs38dWTJ2zXPrhPD75/+kGcfugeKVRlZmaWe515WH2p6CNpdtb3d0fEpW1uDd8G/pzMHX0EWAK0vG35JuAOSdXAbOD5TtRxPnCNpI3APZ2u3srG7bPeaF7+1NGVHLvfcI7ceyi9e/iB9WZmVjoU4dHh1kjqBTRERL2kycBv03rEU1VVVVRXV6dxasuztbV1HPn9B6ita2DEgF7886sn0rO7ByzMzKx4SJoZEVUdbVdOPaE7agzwF0ndgC3Ap1Oux8rArTNfp7auAYCPHTHGAdTMzEqWQ2gbImIRcGjadVj5aGwMbnzyFQC6dxMfe0drTwUzMzMrDe5mMSsQj724ovlB9CcfNIoRA3t3sIeZmVnxcgg1KxA3PLG4efm8ye0+aMHMzKzoOYSaFYBXV27kwReWAXDAqIFMGtv2s0LNzMxKgUOoWQH441Ov0PSgivOOGos68fpOMzOzYuYQapay2i0NTJvxGgCD+vTgg4eMTrkiMzOzrucQapayv895g7W1dQCcXbUHfXr6ofRmZlb6HELNUhQRXP9E5rFMEnz8SN+QZGZm5cEh1CxFs15dzYIl6wA4YfwIxg7tl3JFZmZm+eEQapaipl5QgHP9WCYzMysjDqFmKVm2bhN3zVsCQOXQvhw3bnjKFZmZmeWPQ6hZSv789GvUN2aey/SJyZV06+bHMpmZWflwCDVLQV1DIzc9lRmK79OjgjMn7ZFyRWZmZvnlEGqWgnuefYtl6zcDcPphoxnUp0fKFZmZmeWXQ6hZCm7wDUlmZlbmHELN8mzBm+t4evEqAI7YawgT3jYw5YrMzMzyzyHULM9ufHJx8/J5R1WmVoeZmVmaHELN8mjtxjpuf+YNAEYO7MVJB4xMuSIzM7N0OISa5dEtM19jU10jAOccMZYeFf4raGZm5cn/AprlSWNjcMP0zA1JPSrER96xZ8oVmZmZpcch1CxPHlm4nFdXbQTg/QeNYsSA3ilXZGZmlp7uaRdgVsqWrd/EjdNf4ZGFy3lp+Ybm9nMnV6ZXlJmZWQEouxAq6evAx4AGoBH4TEQ8laNj10RE/1wcy4rfC2+t52NXP8nKDVu2ae8miGhMqSozM7PCUFbD8ZImA6cCh0XEwcC7gdfSrcpKUUTwX9NmbxdAARoDLrp5DvUNDqJmZla+yiqEAqOAFRGxGSAiVgB7SLoNQNJpkmol9ZTUW9JLSfs+ku6WNFPSY5ImJO17SZouaYak72afSNKXk/a5kr6dtFVKek7S1ZKelXSvpD75vACWH3NfX8uCJevaXP/GmloeXbQ8jxWZmZkVlnILofcCe0paKOlKSe8EZgGHJuuPBeYDhwNHAE3D9FOB/4yIScAlwJVJ+y+B30bE4cBbTSeR9B5gHPAOYCIwSdJxyepxwG8i4u3AGuCMLvmklqqmG5Da3WZlx9uYmZmVqrKaExoRNZImkQmbJwDTgEuBFyXtTyY0/gw4DqgAHpPUHzgKuEVS06F6JX8ezdYQeSPwo2T5PcnXM8n3/cmEz1eBlyNidtI+E6hsrVZJFwAXAIwZM2anP7OlY8SAXh1vM9B3x5uZWfkqqxAKEBENwMPAw5LmAecBjwEnA3XA/cB1ZELoJWR6i9dExMS2DtlKm4AfRMRV2zRKlcDmrKYGoNXh+IiYSqYHlqqqqtbOYQXs9dW17a7frW8PTpwwIk/VmJmZFZ6yGo6XNF7SuKymicArwKPAxcD0iFgODAUmAM9GxDrgZUlnJceQpEOS/R8HPpIsn5N13HuATya9qEgaLcmJoww0NgY/vecFvnTLnDa36d5N/PCMg+ndoyKPlZmZmRWWcusJ7Q/8StJgoB54kcyQ9wZgJJkwCjAXWBYRTT2Q5wC/lfQNoAdwMzAHuAj4k6SLgFubThIR9ybD+9OTIfwa4ONkej6tRG2qa+BLt8zhH3OXNLedO3ks62rreHTRChoag8l7D+Wzx+/DxD0Hp1ipmZlZ+rQ1Z1mhqqqqiurq6rTLsHYsW7+JT98wkzmvrQGgZ/duXH7WIXzgkN1TrszMzCy/JM2MiKqOtiu3nlCznHtuyTr+/fpq3liTmQc6rH9Ppp5bxWFjdku5MjMzs8LlEGq2Cx56fhmf/9MsNmzJzLQYP3IAf5hSxR679U25MjMzs8LmEGq2EyKC655YzHfvXEBjMqPl+PHD+dVHD2VA7x7pFmdmZlYEHELNdlB9QyOX3fEsf3zy1ea2KUdV8o1T9qd7RVk9cMLMzGynOYSa7YB1m+q48KZZPLZoBQAV3cS3PnAA506uTLcwMzOzIuMQatZJr67cyKeun8GiZTUADOjVnV+fcxjv3G94ypWZmZkVH4dQs06oXryKC26cyaoNWwDYY7c+XDPlcPYbOSDlyszMzIqTQ6hZB/72zBt85a9z2dLQCMBhYwYz9dwqhvXv+P3wZmZm1jqHULM2RAQ/v38RVzywqLntg4fszo/P9Cs3zczMdpVDqFkrNtU18OW/zuWOOW82t1387nFc9K5xJK9iNTMzs13gEGrWwvL1m7ngxmqeeXXrKzh/cubBnDZxdMqVmZmZlQ6HULMsL7y1nk9eN6P5FZxD+/Vk6rmTmDR2SMqVmZmZlRaHULPEwy8s4/N/eoaazfUAjBvRn2umHM6eQ/wKTjMzs1xzCDUDrn9iMd++49nmV3Aet99wfv2xQxnoV3CamZl1CYdQK2v1DY18584F3DD9lea2cyeP5ZunHuBXcJqZmXUhh1ArW+s31fH5Pz3DIwuXA9BN8M1TD2DK0XulXJmZmVnpcwi1svTaqswrOBcuzbyCs3+v7vzqo4dywoQRKVdmZmZWHhxCrezMfGU1n7mxmhU1mVdwjh7chz9MqWLC2wamXJmZmVn5cAi1svL3OW9yyS1z2FKfeQXnxD0HM/XcSYwY0DvlyszMzMqLQ6iVhYjgigde5Of3L2xuO+XgUVx+1iF+BaeZmVkKHEKt5G2qa+DSW+fyt9lbX8H5hRP35eJ370e3bn4Fp5mZWRocQq2krajZzGdunMnMV1YD0LOiGz868yBOP3SPlCszMzMrbw6hVjKWr9/MkrW1jBzYm5EDe7No6XrOv24Gr6/OvIJzSL+eXPWJSRxe6VdwmpmZpc0h1IrekrW1fOt/n+X+55Y2v/HowNGDeHl5DRu2NACw74j+XHPe4YwZ6ldwmpmZFYKieyWMMv4p6eSstrMl3d3F5+0uac1O7runpGm5rslgzcYtnH3VdO5dsDWAAsx/Y21zAD123DBu/dxRDqBmZmYFpOh6QiMiJH0WuEXSQ0AF8D3gfelW1raIeA34cNp1lKIbp7/Ca6tq21w/4W0DuGbK4fTwKzjNzMwKSlH+yxwR84E7gK8C3wJuINNJOrtpG0mXSvpGsnykpLmSnpD0k6btJPWRdL2keZJmSTouaT9I0gxJs5P99s4+v6SBkh5M9pkr6dSk/XJJF2Rt9/8kXSRp36xz7iPpMUnPSJop6YguvVgl7p4Fb7W7fl1tnQOomZlZASq6ntAs3wZmAVuAKmDPdra9FjgvIp6W9NOs9i8AWyLiIElvB+6SNA74D+CnETFNUi+g5XN8aoHTImK9pBHA48CdwM3AD4GpyXZnAScA2ePAS4CTImKTpAnA9cB2QTQJsxcAjBkzpoNLUb5qkyH3tmxOHkpvZmZmhaVou4giYgMwDbgxIja3tZ2kYUDPiHg6afpT1upjgBuT4z0LvAnsCzwBfEPSV4A9I2JTy8MCP5I0F7gX2FPSsIiYkSyPlDQJeCsi3myxby/gD5LmkwmtB7Tx+aZGRFVEVA0fPryDq1G+DtlzcLvrJ3aw3szMzNJRtCE00Zh8AdSz7edpeg9je08jb3VdRNwInA5sBu5rGqbPci4wCDgsIiYCK7LOdytwBpk5oDe3cvgvAa8BBwHvIBNKbSd98ui9qFDb/4k/dexeeazGzMzMOqvYQ2i2t4DdJe0mqTdwCkBELAfqJFUl230ka59HgXMAJO0PjAJelLR3RLwYEb8E/gEc3OJcg4BlEVEv6SRgdNa6m5Nz/BuZQNrSIGBJRARwHu2HZOvAgaMH8bMPH0L3Fm8+6l4hvvuhAzlqn2EpVWZmZmbtKeY5odtI5lh+H5gBvAQsyFr9SeBaSevJBM+1SfuvgKskzQPqgHMjYoukj0n6aNL2JvCNFqe7EbhDUjWZeamLsuqYI2k48HJELGul1F8Df02Ofz+Z3lbbBadNHM2TL63kz0+/BsCnjqnkM8ftw4iBvTvY08zMzNKiTIdcaZPUPyJqkuWvA0Mi4kspl9VpVVVVUV1dnXYZBe3jv3+Kf764gopuYsF33kuv7hVpl2RmZlaWJM2MiKqOtiuZntAOfDC5yag7sBiYkmo1lnMLl64HoHJoXwdQMzOzIlAWITQi/sS2d8VbCVmzcQvL1mdmNew3ckDK1ZiZmVlnlNKNSVamFi6taV52CDUzMysODqFW9JqG4sEh1MzMrFg4hFrRW7RNCO2fYiVmZmbWWQ6hVvSahuN7VIjKYf1SrsbMzMw6wyHUil7TcPxew/rRo8I/0mZmZsXA/2JbUVtZs5mVG7YAMM7zQc3MzIqGQ6gVtew748c7hJqZmRUNh1AraouW+aYkMzOzYuQQakUt+/FMHo43MzMrHg6hVtQWvpUZju9Z0Y2xQ/qmXI2ZmZl1lkOoFa2IYGEyHL/38H50953xZmZmRcP/alvRWl6zmTUb6wC/KcnMzKzYOIRa0VqUfWf82xxCzczMiolDqBWtbW5KGuE7483MzIqJQ6gVrYXbvDPePaFmZmbFxCHUilbTg+p7de/Gnr4z3szMrKg4hFpRiojmntB9R/SnoptSrsjMzMx2hEOoFaWl6zazflM94KF4MzOzYuQQakXJ80HNzMyKm0OoFaVtQ6jvjDczMys23dMuwGxHNDYGjyxazrQZrzW37T2sX4oVmZmZ2c5wT6gVjTUbt3Dm757g/GtnsGjZ1gfVf/aPM1m6blOKlZmZmdmOKvsQKikk3Zj1fXdJyyXduZPH+6CkS3NXoTW55Ja5zHp1zXbtLyyt4fN/mkVEpFCVmZmZ7YyyD6HABuBASX2S708C3tjZg0XE3yPihzmpzJotXrGB+59b2ub6GYtXM/f1tXmsyMzMzHaFQ2jG/wGnJMsfBf7ctEJSP0nXSJoh6RlJpyXtX5R0TbJ8kKT5kvpKmiLp10n7SEm3S5qTfB2Vte/85OvivH7SIjX3jY4D5tzXt+8lNTMzs8LkEJpxM/ARSb2Bg4GnstZ9HXgwIg4HTgB+Iqkf8AtgX0mnA9cCn4mIjS2OewXwSEQcAhwGPCtpEnA+cARwJPBpSYe2LEjSBZKqJVUvX748px+2GPXrWdHhNn16+j47MzOzYuEQCkTEXKCSTC/oXS1Wvwe4VNJs4GGgNzAmIhqBKcCNZILm460c+kTgt8k5GiJiLXAMcHtEbIiIGuA24NhWapoaEVURUTV8+PBd/5BF7qh9hjGgd9shs2f3bpw4YUQeKzIzM7Nd4RC61d+Bn5I1FJ8QcEZETEy+xkTEc8m6cUANsPsOnMfvl9wJfXpW8JX3jm9z/X+esC9D+vXMY0VmZma2KxxCt7oG+E5EzGvRfg/wn5IE0DR0LmkQ8EvgOGCopDNbOeYDwOeS7SskDQQeBT6UzB/tB5wOPNYVH6jUfGJyJYeNGbxN26hBvfnOaW/n8yfum1JVZmZmtjM8iS4REa+TCZUtfZfM/M+5SRBdDJwK/By4MiIWSvoU8JCkR1vsexEwNVnfAHwuIqZLug54Otnm9xHxTM4/UAnaVNfAC29l3pT0toG9ufFTh7PXsP50r/D/S5mZmRUb+dmKha+qqiqqq6vTLiN1d89/i8/+cSYAn3nn3nzt5P1TrsjMzMxakjQzIqo62s5dSFY0/jFvSfPyqQftyDRcMzMzKzQOoVYUarc08EDysPqxQ/ty4OiBKVdkZmZmu8Ih1IrCQy8sY+OWBgBOOWgUyX1iZmZmVqQcQq0o/GPu1qH4Uw4elWIlZmZmlgsOoVbwNmyu54HnM0Pxew/rxwGjPBRvZmZW7BxCreA9+PwyNtU1ApleUA/Fm5mZFT+HUCt4Hoo3MzMrPQ6hVtBqNtfz0AvLANh3RH/GjxyQckVmZmaWCw6hVtAeeG4pm+uToXjfFW9mZlYyHEKtoN2ZNRR/qofizczMSoZDqBWsdZvqeOSF5QCMHzmAcR6KNzMzKxkOoVaw7l+wlC0NW++KNzMzs9LhEGoF607fFW9mZlayHEKtIK3dWMdjizJD8fuPGsg+w/unXJGZmZnlkkOoFaR7F7xFXUMAviHJzMysFDmEWkHaZij+IIdQMzOzUuMQagVn9YYtPP7iCgAOHD2QymH9Uq7IzMzMcs0h1ArOvQveor6xaSh+95SrMTMzs67gEGoFx0PxZmZmpc8h1ArKyprNPPGvlQAcsscg9hzSN+WKzMzMrCs4hFpBuefZpTR4KN7MzKzkOYRaQblz7pvNy+/3o5nMzMxKVve0CzCb/8Zarnz4RR5+YTkbtzQAMH5kf0YP7pNyZWZmZtZVyqYnVFKDpNmS5kiaJemoTuxT04ltfi/pgNxUWX4eW7Sc0698nLvmvdUcQAEWLq3h7vlL2tnTzMzMilnZhFCgNiImRsQhwNeAH+TioBHx7xGxIBfHKjcNjcGlt85rfjNStgC+dts8NtU1bL+jmZmZFb1yCqHZBgKrm76R9GVJMyTNlfTtlhtL6ibpSknPSrpT0l2SzkzWPSypKlmuydrnTEnXJcvXSfqtpIckvSTpnZKukfRc0zbl6KmXVvLGmto216/eWMdDzy/LY0VmZmaWL+U0J7SPpNlAb2AUcCKApPcA44B3AAL+Lum4iHg0a99/AyqBg4ARwHPANTt4/t2Sc34QuAM4Gvh3YIakiRExO3tjSRcAFwCMGTNmB09VHJbXbM7JNmZmZlZ8yqkntGk4fgLwPuAGSQLek3w9A8wCJpAJpdmOAW6JiMaIeAt4aCfOf0dEBDAPWBoR8yKiEXiWTMDdRkRMjYiqiKgaPnz4Tpyu8I0d2vHrOCs7sY2ZmZkVn3LqCW0WEdMlDQOGk+n9/EFEXNXOLursobOWe7dY19Sl15i13PR9Wf53OGSPQbx994E8++a6VtePGdKXo/cdlueqzMzMLB/KqSe0maQJQAWwErgH+KSk/sm60ZJGtNjln8AZydzQkcDxbRx6qaT9JXUDTu+a6kuHJH7x4YkM699zu3WD+vTg1x87lIpunc3/ZmZmVkzKqQeuaU4oZHo2z4uIBuBeSfsD0zOj89QAHwey74i5FXgXMB9YCDwFrG3lHJcCdwKvJdv274LPUVLGjRzAPRcfx0emPsmiZZn7uj5z3N588pi9GDmwZWeymZmZlQplpilaRyT1j4gaSUOBp4Gjk/mhXa6qqiqqq6vzcarUnH3VdJ5+eRV9elTw3Hffl3Y5ZmZmtpMkzYyIqo62K6ee0F11p6TBQE/gu/kKoOViZXIX/NBWhubNzMys9DiEdlJEHJ92DaVs1YYtAAzt5xBqZmZWDsryxiQrLPUNjazeWAfA0P69Uq7GzMzM8sEh1FLXFEABhrgn1MzMrCw4hFrqVm7Y+thUzwk1MzMrDw6hlrpVNVual4f183C8mZlZOXAItdSt2LA1hHo43szMrDw4hFrqmh7PBB6ONzMzKxcOoZa6VVk9oUM9HG9mZlYWHEItdSuy5oS6J9TMzKw8OIRa6lZl3R3vOaFmZmblwSHUUrcy6Qnt36s7vXtUpFyNmZmZ5YNDqKWuaU6oe0HNzMzKh0OopW5Fcne854OamZmVD4dQS9WW+kbWbaoHfGe8mZlZOXEItVSt3pj9eCb3hJqZmZULh1BL1Qo/qN7MzKwsOYRaqlb5lZ1mZmZlySHUUrUy60H1w/p7TqiZmVm5cAi1VK10T6iZmVlZcgi1VK30nFAzM7Oy5BBqqfJwvJmZWXlyCLXUbKpr4IWl65u/362ve0LNzMzKhUOopeK2Wa9z1A8fZPZra5rbzr3mKd5auynFqszMzCxfCi6ESvq6pGclzZU0W9IRO3mcuyQN7mCb/25nXU2L76dI+nUHx9td0l93rNLyc9+CpXzxL3O2eTwTwJMvreLjf3iKTXUNKVVmZmZm+VJQIVTSZOBU4LCIOBh4N/DazhwrIt4fEWs62KzNELqT53wzIs7M5TFL0RUPLGpz3YvLarhr3pI8VmNmZmZpKKgQCowCVkTEZoCIWBERbwJIepekZyTNk3SNpF6STpb0l6adJR0v6Y5kebGkYcnyxyU9nfSsXiWpQtIPgT5J2007UqSk6yRdIekJSS9JOjNpr5Q0P1nuLenapN5nJJ2QtE+RdJukuyUtkvTjXb9sxWP1hi3Me2Ntu9s8unB5nqoxMzOztBRaCL0X2FPSQklXSnonZAIdcB3w4Yg4COgOfA64DzhSUr9k/w8D07IPKGn/pP3oiJgINADnRMSlQG1ETIyIc3ai1lHAMWR6bn/YyvoLAZJ6Pwpcn3wOgIlJTQcBH5a0Z8udJV0gqVpS9fLlpRPKGiM63KbjLczMzKzYFVQIjYgaYBJwAbAcmCZpCjAeeDkiFiabXg8cFxH1wN3AByR1B04B/rfFYd+VHHOGpNnJ93vvbIlZy3+LiMaIWACMbGXbY4Abk8/1PPAKsF+y7oGIWBsRm4AFwNjtThQxNSKqIqJq+PDhO1lu4RnSrycT3jag3W2O2mdonqoxMzOztBRUCAWIiIaIeDgivgV8HjgDUDu7TAPOBk4EZkTE+hbrBVyf9HhOjIjxEXFZJ0qplZT9zKAhwIqs7zdnLbdWX3s1Z+/bQKZntyxI4tzJ22XuZmOG9OWDh4zOY0VmZmaWhoIKoZLGSxqX1TSRTA/i80ClpH2T9k8AjyTLDwOHAZ+mxVB84gHgTEkjknMMkdSUguok9WijnEeAjyf79CETdB/agY/zKHBOsv9+wBjghR3YvyRFBA8+3/r0ggNHD+SPnzqCPj0r8lyVmZmZ5Vuh9cD1B36VPFqpHngRuCAiNkk6H7glGXafAfwOMj2nku4EpgDntTxgRCyQ9A3gXkndgDoy8zVfAaYCcyXNamVe6EXAVZK+QKZX84aIeHQHPsuVwO8kzUs+y5SI2Cy110Fa+m6b9Qb3P7cUyPR6fv7EfdhcHxwwagCHjdmNcr8+ZmZm5ULRiRtFLF1VVVVRXV2ddhm77K21mzjp54+wflM9EtzymclUVQ5JuywzMzPLIUkzI6Kqo+0KajjeSldE8NVb57J+Uz0Anz52bwdQMzOzMuYQankxbcZrPJI8/3Of4f344kn7dbCHmZmZlTKHUOtyr6/eyP/7x3MAdBNcfvZEevfwzUdmZmblzCHUulRjY2YYvmZzZhj+c8fvw8Q9B6dclZmZmaXNIdS61E1PvcLjL64EYMLbBvCFd43rYA8zMzMrBw6h1mVeXbmR79/1PADdu4mfnnUIvbp7GN7MzMwcQq2LNDYGl/x1DrV1DQB8/sR9OXD0oJSrMjMzs0LhEGpd4tonFvP0y6sAePvuA7nwhH072MPMzMzKiUOo5dy/ltfw47szw/A9KsTlZx9Cjwr/qJmZmdlWTgaWUw2NwSW3zGFzfSMAF797Pya8bWDKVZmZmVmhcQi1lli8kAAAGlxJREFUnLr6sZd45tU1AByy52A+c9zeKVdkZmZmhcgh1HJm4dL1/OzehQD07N6Ny886mO4ehjczM7NWOCFYTtQ1NPKlv8xhS0NmGP7L7xnPviMGpFyVmZmZFSqHUMuJ3z38L+a9sRaAqrG78clj9kq5IjMzMytkDqG2yxa8uY4rHlwEQO8e3fjpWYdQ0U0pV2VmZmaFzCHUdsmW+ka+dMsc6hoCgEvfN4HKYf1SrsrMzMwKnUOo7ZJfP7iI55asA2Dy3kM5d3JlugWZmZlZUXAItZ029/U1/ObhfwHQr2cFPz7zYLp5GN7MzMw6wSHUdsqmuga+9Jc5NDRmhuH/+5T92XNI35SrMjMzs2LhEGo75Rf3L2LRshoAjh03jI+9Y0zKFZmZmVkxcQi1HTbr1dVMfTQzDD+gV3d+dMbBSB6GNzMzs85zCLUdUrulgUv+ModkFJ7/+cAB7D64T7pFmZmZWdHpnnYBVtjqGxq559ml3DHnTdZtqmNtbR0vrdgAwLsmjOCsSXukXKGZmZkVo6IIoZK+DnwMaAAagc9ExFMd7PMd4NGIuF/SxcDUiNiYg1ouA2oi4qc5ONZ1wJ0R8dddPVZX2FTXwKeun8HjL67cbl3fnhX84N8O8jC8mZmZ7ZSCD6GSJgOnAodFxGZJw4CeHe0XEd/M+vZi4I/ALoVQSQV/vXLp5/cvbDWAAmyua6CuaUzezMzMbAcVw5zQUcCKiNgMEBErgD0k3QYg6TRJtZJ6Suot6aWk/TpJZ0r6ArA78JCkhyR9UNLs5OsFSS8n20+S9IikmZLukTQqaX9Y0vclPQJclF2YpE9LmiFpjqRbJfXNOvcVkp6Q9JKkM5N2Sfq1pAWS/gGMyMcF3Bl1DY3c/PRrba5vCJg2o+31ZmZmZu0phhB6L7CnpIWSrpT0TmAWcGiy/lhgPnA4cASwzTB9RFwBvAmcEBEnRMTfI2JiREwE5gA/ldQD+BVwZkRMAq4Bvpd1mMER8c6IuLxFbbdFxOERcQjwHPCprHWjgGPI9OL+MGk7HRgPHAR8GjhqJ69Jl1u1YQtra+va3eZfy2vyVI2ZmZmVmoIfXo6IGkmTyITNE4BpwKXAi5L2B94B/Aw4DqgAHuvMcSV9BaiNiN9IOhA4ELgvmeNYASzJ2nxaG4c5UNL/AwYD/YF7stb9LSIagQWSRiZtxwF/jogG4E1JD7ZT3wXABQBjxuT/GZwDenenopuaH0bfmiF9O5wVYWZmZtaqgg+hAEloexh4WNI84DwyYfNkoA64H7iOTHi8pKPjSXoXcBaZUAgg4NmImNzGLhvaaL8O+FBEzJE0BTg+a93m7FNmf5yO6gOIiKnAVICqqqq8T77s27M77337SO6a91ab23zo0NF5rMjMzMxKScEPx0saL2lcVtNE4BXgUTI3HE2PiOXAUGAC8Gwrh1kPDEiONxa4Ejg7ImqT9S8Aw5OboJDUQ9LbO1HeAGBJMpx/Tie2fxT4iKSKZM7pCZ3YJzWXvm9/hvZrvbfzo+8Yw6Sxu+W5IjMzMysVxdAT2h/4laTBQD3wIplh6g3ASDLBDmAusCwiWus1nAr8n6QlZHpUhwK3J0Pvb0bE+5Obh66QNIjMdfkFrQfabP9DZg7qK8A8kqDbjtuBE5NtFwKPdLB9qsYM7cvfLjyai25+hlmvrgHgbQN7ceEJ+3LOEWNTrs7MzMyKmVrPbFZIqqqqorq6OrXzX/HAIn5230IAbv3cUe4BNTMzszZJmhkRVR1tV/DD8Za+lTVbp7cO6++bkczMzGzXOYRah1Zu2NK8PKSNOaJmZmZmO8Ih1Dq0siYTQnt270b/XsUwjdjMzMwKnUOodWhV0hM6tF9PvyvezMzMcsIh1Dq0ckNmTuhQzwc1MzOzHHEItXY1NkZWT2ivlKsxMzOzUuEQau1aU1tH05s723pwvZmZmdmOcgi1dmU/nsnD8WZmZpYrDqHWrm0fz+TheDMzM8sNh1BrV9PjmcA9oWZmZpY7DqHWrlUbsobjPSfUzMzMcsQh1Nq1YpueUA/Hm5mZWW44hFq7VmXNCXVPqJmZmeWKQ6i1a+UG3x1vZmZmuecQau1qGo7v06OCvj393ngzMzPLDYdQa1fTcPwQD8WbmZlZDjmEWruaHlY/zEPxZmZmlkMOodam+oZG1tTWAe4JNTMzs9xyCLU2rd5YRzS9N96PZzIzM7Mccgi1Nm3zeCYPx5uZmVkOOYRam5rmg4KfEWpmZma55RBqbVqxzYPqPRxvZmZmueMQam1aunZT8/IQD8ebmZlZDvnp47adVRu28OO7n+eW6tea2254YjFvHzWQEQN7p1iZmZmZlYou7QmV9DZJN0v6l6QFku6StF8OjnuZpEtycJyHJVXt6nFaHLOmlbbdJf01l+fpKjWb6/nI1OncPOM1GmJr+0MvLOesq6azOmuI3szMzGxndVkIlSTgduDhiNgnIg4A/hsY2VXnLFQR8WZEnJl2HZ1x05OvsHDpdjkagFdWbuSax1/Oc0VmZmZWirqyJ/QEoC4iftfUEBGzgZMkzU6+3pB0LYCkj0t6Omm/SlJF0v4+SbMkzZH0QNbxD0h6Ml+S9IWmRklflDQ/+bo4aesn6R/JMeZL+nDLYiV9VNK8ZP2PkrbPSfpx1jZTJP0qWf6bpJmSnpV0QSvHGyZpuqRTJFVKmp+0V0p6LPlMsyQdtUtXOcfunLtkl9abmZmZdUZXzgk9EJjZsjEivgl8U9Ig4DHg15L2Bz4MHB0RdZKuBM6R9H/A1cBxEfGypCFZh5pAJugOAF6Q9FvgYOB84AhAwFOSHgH2Bt6MiFMAknM3k7Q78CNgErAauFfSh4C/AtOBrySbfhj4XrL8yYhYJakPMEPSrRGxMjneSODvwDci4j5JlVmnWwacFBGbJI0D/gxsNyUgCbYXAIwZM6b1K9wFajbXt7t+/ab215uZmZl1Rip3xydD9TcBP4+ImcC7yATAGZJmJ9/vDRwJPBoRLwNExKqsw/wjIjZHxAoywW4kcAxwe0RsiIga4DbgWGAe8G5JP5J0bESsbVHS4WSmDSyPiPqktuMiYjnwkqQjJQ0FxgOPJ/t8QdIc4ElgT2Bc0t4DeAD4SkTc18rH7wFcLWkecAtwQGvXKCKmRkRVRFQNHz68/QuaQweMGtj++t3bX29mZmbWGV0ZQp8lEyxbcxnwekRcm3wv4PqImJh8jY+Iy5L2aOMYm7OWG8j06qq1DSNiYVLLPOAHkr7ZYpNW90tMA84GziATcEPS8cC7gckRcQjwDNB023g9mR7g97ZxvP8ClgKHkOkBLahnH513VGW768/vYL2ZmZlZZ3RlCH0Q6CXp000Nkg6X9C3gJOALWds+AJwpaUSy3RBJY8kMhb9T0l5N7R2c81HgQ5L6SuoHnA48lgy3b4yIPwI/BQ5rsd9TyXmGJXNRPwo8kqy7DfhQ0jYtaRsErI6IjZImkOmxbRLAJ4EJki5tpcZBwJKIaAQ+AVR08Jny6h17DeGyDxxAt1Zi+ZffO54TJozIf1FmZmZWcrpsTmjSY3g68IskjG0CFgN9gd2BpzOj8vw9Ir4p6Rtk5mJ2A+qACyPiyWRu5G1J+zIyAbatc86SdB3wdNL0+4h4RtJ7gZ9IakyO/bkW+y2R9DXgITK9ondFxP8m61ZLWgAcEBFNx70b+KykucALZIbks4/XIOkjwB2S1gF3Za2+ErhV0lnJ+TZ04nLm1ZSj9+L48SM447dPsHLDFvr36s7fLjyKfUcMSLs0MzMzKxGKaGu02wpFVVVVVFdX5/287/vFozz/1npGD+7D45eemPfzm5mZWfGRNDMiOnwOu1/baWZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqrVq/qY41G+sA2LC5nrXJspmZmVkuOITadu599i0m/+BB3lq3CYA1tXUc+YMH+N/Zb6RcmZmZmZUKh1BAUoOk2ZLmS7pFUt8Otq/J0XkrJc3PxbFy5bkl6/iPm2ZRs7l+m/baugb+a9psZr6yOqXKzMzMrJQ4hGbURsTEiDgQ2AJ8Nu2C0nLt4y9T3xitrmsM+MM/X8pzRWZmZlaKHEK39xiwL4CkLya9o/MlXdxyQ0n9JT0gaZakeZJOS9orJT0n6WpJz0q6V1KfZN0kSXMkTQcuzOcH64zqDno6Zyx2T6iZmZntOofQLJK6AycD8yRNAs4HjgCOBD4t6dAWu2wCTo+Iw4ATgMslKVk3DvhNRLwdWAOckbRfC3whIiZ3UMsFkqolVS9fvjwXH69Tela0/yPR0XozMzOzznCiyOgjaTZQDbwK/AE4Brg9IjZERA1wG3Bsi/0EfF/SXOB+YDQwMln3ckTMTpZnApWSBgGDI+KRpP3GtgqKiKkRURURVcOHD8/BR+ycd+8/st31Jx3Q/nozMzOzzuiedgEFojYiJmY3ZPVotuccYDgwKSLqJC0GeifrNmdt1wD0IRNaW59wWSDOO6qSW2a+xtJ1m7dbt1vfHvz7sXulUJWZmZmVGveEtu1R4EOS+krqB5xOZr5otkHAsiSAngCMbe+AEbEGWCvpmKTpnFwXvauGD+jFtAsmc+ieg7dpnzR2N26+YDJ77NbugwPMzMzMOsUhtA0RMQu4DngaeAr4fUQ802Kzm4AqSdVkAuXznTj0+cBvkhuTanNXce5UDuvH/3zggObvzztqLLd+7ijGv21AilWZmZlZKfFwPBAR/dto/xnws7a2j4gVQFs3GB2Ytf1Ps5ZnAodkbXfZjlfc9VbVbGle3neEw6eZmZnllntCrVUrN2ydEzqsX88UKzEzM7NS5BBqrVqR1RM6tH+vFCsxMzOzUuQQaq1atWFrCB3inlAzMzPLMYdQa9XKmqzh+P4OoWZmZpZbDqHWqpVJT2hFNzGwd4+UqzEzM7NS4xBqrVqZzAkd0q8n3bp15rn9ZmZmZp3nEGqtapoTOtTzQc3MzKwLOITadiKi+RFNQz0f1MzMzLqAQ6htZ92meuoaMq+4H9rPj2cyMzOz3HMIte348UxmZmbW1RxCbTt+PJOZmZl1NYdQ287KbXpCPRxvZmZmuecQattZuc0rO90TamZmZrnnEGrbyR6O9yOazMzMrCs4hNp2sofjh/b3cLyZmZnlnkOobWfbEOqeUDMzM8s9h1DbzqrkQfU9KsSAXt1TrsbMzMxKkUOobafpxqSh/Xoh+b3xZmZmlnsOobadFUkI9YPqzczMrKs4hNo2GhuD1RuTnlDPBzUzM7Mu4hBq21hbW0dDY+a98cN8Z7yZmZl1EYdQ28ZKvzfezMzM8sAh1JpN/9dKLr11bvP3z725jlVZodTMzMwsV8oihEpqkDRb0nxJt0jqu4P7/3cX1VUpaX5XHHtHXf/EYj569ZNUv7K6ue2Jl1Zy2m/+yVtrN6VYmZmZmZWisgihQG1ETIyIA4EtwGc7s5MyugFdEkILxWurNvKdOxa0sa6W7/6j9XVmZmZmO6tcQmi2x4B9ASR9MekdnS/p4qStUtJzkq4EZgF/APokPak3tey9lHSJpMuS5cMlzZU0XdJPmrZL9nlM0qzk66g8f+Z23TbrDRoi2lx/z/y3WLuxLo8VmZmZWakrqxAqqTtwMjBP0iTgfOAI4Ejg05IOTTYdD9wQEYdGxPls7Uk9p4NTXAt8NiImAw1Z7cuAkyLiMODDwBWdqPUCSdWSqpcvX74jH3OHLVlb2+76+sZgeY2H5M3MzCx3yiWE9pE0G6gGXiXTu3kMcHtEbIiIGuA24Nhk+1ci4skdOYGkwcCAiHgiafpT1uoewNWS5gG3AAd0dLyImBoRVRFRNXz48B0pZYftPrhPu+u7dxPD+/fu0hrMzMysvJTLi8FrI2JidoPafx/lhnbW1bNteG9KZ+0d77+ApcAhyb4F1a14xqQ9+OUDi5qfD9rSyQeNYlDfHnmuyszMzEpZufSEtuZR4EOS+krqB5xOZr5oa+okNaWwpcAISUMl9QJOBYiI1cB6SUcm230ka/9BwJKIaAQ+AVTk+LPsktGD+/DtD7691XVjh/blG6fsn+eKzMzMrNSVS0/odiJilqTrgKeTpt9HxDOSKlvZfCowV9KsiDhH0neAp4CXgeeztvsUmWH3DcDDwNqk/UrgVklnAQ/Rfk9rKj5+5Fj2GzmA6554mbmvr6V/r+68/6BRnDt5LIP7+qH1ZmZmlluKdu6Kth0jqX8yvxRJlwKjIuKiXT1uVVVVVFdX73J9ZmZmZl1N0syIqOpou7LtCe0ip0j6Gpnr+gowJd1yzMzMzAqTQ2gORcQ0YFradZiZmZkVunK+McnMzMzMUuIQamZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqZmZmZnnnEGpmZmZmeecQamZmZmZ55xBqZmZmZnnnd8cXAUnLybwGtFgNA1akXUSB8TXZnq/Jtnw9tudrsj1fk+35mmwrjesxNiKGd7SRQ6h1OUnVEVGVdh2FxNdke74m2/L12J6vyfZ8Tbbna7KtQr4eHo43MzMzs7xzCDUzMzOzvHMItXyYmnYBBcjXZHu+Jtvy9dier8n2fE2252uyrYK9Hp4TamZmZmZ5555QMzMzM8s7h1AzMzMzyzuHUMs5SYslzZM0W1J10jZE0n2SFiV/7pZ2nfkgaXxyHZq+1km6WNJlkt7Ian9/2rV2JUnXSFomaX5WW6s/E8q4QtKLkuZKOiy9yrtOG9fkJ5KeTz737ZIGJ+2Vkmqzfl5+l17lXaeNa9Lm3xVJX0t+Tl6Q9N50qu46bVyPaVnXYrGk2Ul7ufyM7CnpIUnPSXpW0kVJe9n+PmnnmhT87xPPCbWck7QYqIqIFVltPwZWRcQPJV0K7BYRX02rxjRIqgDeAI4AzgdqIuKn6VaVH5KOA2qAGyLiwKSt1Z+JJGT8J/B+MtfqlxFxRFq1d5U2rsl7gAcjol7SjwCSa1IJ3Nm0Xalq45pcRit/VyQdAPwZeAewO3A/sF9ENOS16C7U2vVosf5yYG1EfKeMfkZGAaMiYpakAcBM4EPAFMr090k712QPCvz3iXtCLV9OA65Plq8n8xek3LwL+FdEFPPbr3ZKRDwKrGrR3NbPxGlk/tGNiHgSGJz8ki0prV2TiLg3IuqTb58k849I2Wjj56QtpwE3R8TmiHgZeJFMIC0Z7V0PSQLOJhPEy0ZELImIWcnyeuA5YDRl/PukrWtSDL9PHEKtKwRwr6SZki5I2kZGxBLI/IUBRqRWXXo+wrb/YHw+GSa5RmUyPaGFtn4mRgOvZW33etJWbj4J/F/W93tJekbSI5KOTauolLT2d6Xcf06OBZZGxKKstrL6GUl69A4FnsK/T4Dtrkm2gvx94hBqXeHoiDgMOBm4MBlSKmuSegIfBG5Jmn4L7ANMBJYAl6dUWiFSK21lNW9I0teBeuCmpGkJMCYiDgW+CPxJ0sC06suztv6ulPvPyUfZ9n9qy+pnRFJ/4Fbg4ohY196mrbSV5M9JW9ekkH+fOIRazkXEm8mfy4DbyQyRLW0aAkn+XJZehak4GZgVEUsBImJpRDRERCNwNSU2jNhJbf1MvA7smbXdHsCbea4tNZLOA04Fzolk0n4y5LwyWZ4J/AvYL70q86edvytl+3MiqTvwb8C0prZy+hmR1INM2LopIm5Lmsv690kb16Tgf584hFpOSeqXTIxGUj/gPcB84O/Aeclm5/H/27ubUCvKOI7j31/dUOpGBkWrFgVtelUyCHrBRUEQBRFBUBYh1YWilWQF0ssqWhQEQQRCRmUIJd4gAhfRy8K6FegldRFSIbjMqGxT/FvMGMfbOVHkndE5389y5pk5zzzMDL/zzDzzwM5+atib43otlryTdAdNG02bSefEPHBfO6r1WpqBF4f7qGDXktwCbAJur6qjI8vPbwe2keRi4BLgYD+17NY/XCvzwN1JViS5iKZNvui6fj25CThQVYeOLZiWc6R9F3YLsL+qXhxZNbX3k0ltcircT2b6+FEN2gXAjuaaYAZ4u6o+TLIAbE+yAfgBuKvHOnYqyZnAzcDDI4tfSLKa5rHQd0vWDU6SbcA64Lwkh4CngecZf058QDOS9VvgKM2XBAZnQps8CawAdrXX0O6qmgNuBJ5L8jvwBzBXVf92AM8pY0KbrBt3rVTVN0m2A/toHjU+MqSR8TC+PapqC39/vxym5BwBrgPWA4tpP08FPMV0308mtcnLnOT3Ez/RJEmSpM75OF6SJEmdM4RKkiSpc4ZQSZIkdc4QKkmSpM4ZQiVJktQ5Q6gk6S9Jnkmyse96SBo+Q6gkSZI6ZwiVpIFIsjnJgSS7kmxLsjHJ6iS7k+xNsiPJuW3ZB5MsJNmT5N12UoWl+3ssyb5223e6PyJJQ2YIlaQBSLIWuBNYQzOv+Np21RvApqq6ElikmYUI4L2quqaqrgL2AxvG7PYJYE277dxy1l/S9DGEStIwXA/srKrfqupn4H3gLGBVVX3cltlKM2UfwOVJPk2yCNwDXDZmn3uBt5LcSzM1piSdMIZQSRqG/MfyrwOPVtUVwLPAyjFlbgVeAa4Gvkoy879qKEkjDKGSNAyfAbclWZlkliZA/gr8mOSGtsx64Fiv6NnA4SRn0PSEHifJacCFVfUR8DiwCphd5mOQNEX8VytJA1BVC0nmgT3A98CXwE/A/cCr7cCjg8AD7Sabgc/bsos0oXTU6cCbSc6h6WV9qaqOLPuBSJoaqaq+6yBJOgGSzFbVL23g/AR4qKq+7rtekjSOPaGSNByvJbmU5v3OrQZQSScze0IlSZLUOQcmSZIkqXOGUEmSJHXOECpJkqTOGUIlSZLUOUOoJEmSOvcnPjflzIC/F7AAAAAASUVORK5CYII=\n",
            "text/plain": "<Figure size 720x864 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### By analyzing the data and graph above I got to know the teams with highest fifa world cup goals is BRAZIL"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "#Referee in most of the matches\nrf = df[\"Referee\"].value_counts().reset_index()\nrf = rf.sort_values(by=\"Referee\",ascending=False)\n\nplt.figure(figsize=(10,10))\nsns.barplot(\"Referee\",\"index\",data=rf[:15])\nplt.xlabel(\"count\")\nplt.ylabel(\"Referee name\")\nplt.grid(True)\nplt.title(\"Referee's with most matches\",color='black')\nplt.show()",
      "execution_count": 129,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 720x720 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### By analyzing the data and graph we get to know that the referee in most of the matches is Ravshan IRMATOV(UZB)"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# THANK YOU"
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python36",
      "display_name": "Python 3.6",
      "language": "python"
    },
    "language_info": {
      "mimetype": "text/x-python",
      "nbconvert_exporter": "python",
      "name": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.6",
      "file_extension": ".py",
      "codemirror_mode": {
        "version": 3,
        "name": "ipython"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}