Baseball Hall of Fame Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overview\n",
    "\n",
    "What separates the Hall of Fame from the Hall of Very Good? In this exploration, I look at the set of players who were nominated for entry into baseball's Hall of Fame. \n",
    "\n",
    "In this report, we find correlations among pitching, fielding, batting statistics, and awards with entry into the Hall of Fame. We also explore how they break down by position and explore whether or not the steroids era of baseball has had any effect."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T21:25:58.931207",
     "start_time": "2017-01-02T21:25:58.804524"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import display\n",
    "\n",
    "%matplotlib inline\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Wrangling\n",
    "The dataset consists of pitching, hitting, and fielding statistics for Major League Baseball from 1871 through 2014. Each table is represented by a CSV file, with playerID being a unique ID we can use for merging.\n",
    "\n",
    "To wrangle this data together, I performed the following steps:\n",
    "\n",
    "* Load the Hall of Fame table.\n",
    "* Merge in Master to add names.\n",
    "* Merge in Award information.\n",
    "* Merge in Appearances.\n",
    "* Merge in Pitching statistics.\n",
    "* Merge in Batting statistics.\n",
    "* Merge in Fielding statistics."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Master"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T21:25:59.270025",
     "start_time": "2017-01-02T21:25:58.933966"
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>nameFirst</th>\n",
       "      <th>nameLast</th>\n",
       "      <th>yearid</th>\n",
       "      <th>votedBy</th>\n",
       "      <th>ballots</th>\n",
       "      <th>needed</th>\n",
       "      <th>votes</th>\n",
       "      <th>inducted</th>\n",
       "      <th>category</th>\n",
       "      <th>needed_note</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>cobbty01</td>\n",
       "      <td>Ty</td>\n",
       "      <td>Cobb</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ruthba01</td>\n",
       "      <td>Babe</td>\n",
       "      <td>Ruth</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>wagneho01</td>\n",
       "      <td>Honus</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>wagneho01</td>\n",
       "      <td>Honus</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>1936</td>\n",
       "      <td>Veterans</td>\n",
       "      <td>78.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>N</td>\n",
       "      <td>Player</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mathech01</td>\n",
       "      <td>Christy</td>\n",
       "      <td>Mathewson</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    playerID nameFirst   nameLast  yearid   votedBy  ballots  needed  votes  \\\n",
       "0   cobbty01        Ty       Cobb    1936     BBWAA    226.0   170.0  222.0   \n",
       "1   ruthba01      Babe       Ruth    1936     BBWAA    226.0   170.0  215.0   \n",
       "2  wagneho01     Honus     Wagner    1936     BBWAA    226.0   170.0  215.0   \n",
       "3  wagneho01     Honus     Wagner    1936  Veterans     78.0    59.0    5.0   \n",
       "4  mathech01   Christy  Mathewson    1936     BBWAA    226.0   170.0  205.0   \n",
       "\n",
       "  inducted category needed_note  \n",
       "0        Y   Player         NaN  \n",
       "1        Y   Player         NaN  \n",
       "2        Y   Player         NaN  \n",
       "3        N   Player         NaN  \n",
       "4        Y   Player         NaN  "
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hof_df = pd.read_csv('baseballdatabank-master/core/HallOfFame.csv')\n",
    "master_df = pd.read_csv('baseballdatabank-master/core/Master.csv', parse_dates=['debut', 'finalGame'])\n",
    "\n",
    "hof_cols = ['playerID', 'nameFirst', 'nameLast'] + list(hof_df.columns[1:]) \n",
    "\n",
    "hof_df = hof_df.merge(master_df, on='playerID')\n",
    "hof_df = hof_df[hof_cols]\n",
    "\n",
    "hof_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since each row in the Hall of Fame set reflects a voting record, we group by playerID to remove duplicate rows. We end up with a single data frame of players, where the `inducted` field marks whether or not they are in the Hall of Fame.\n",
    "\n",
    "There are 247 inducted players and 941 non-inducted players in this dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T21:25:59.332592",
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    },
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# of Inducted Players: 247\n",
      "# of Non-Inducted Players: 941\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1188, 11)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "player_votes = hof_df.loc[(hof_df.category == 'Player')]\n",
    "inducted_players = hof_df.loc[(hof_df.inducted == 'Y') & (hof_df.category == 'Player')]\n",
    "\n",
    "non_inducted_ids = set(player_votes.playerID).difference(inducted_players.playerID)\n",
    "\n",
    "non_inducted_players = player_votes.loc[hof_df.playerID.isin(non_inducted_ids)]\n",
    "non_inducted_players = non_inducted_players.groupby('playerID', as_index=False).last()\n",
    "\n",
    "print(\"# of Inducted Players: %d\" % inducted_players.shape[0])\n",
    "print(\"# of Non-Inducted Players: %d\" % non_inducted_players.shape[0])\n",
    "\n",
    "nominated_players = inducted_players.append(non_inducted_players, ignore_index=True)\n",
    "display(nominated_players.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Awards\n",
    "We add in Awards players won over the course of their career. It seems plausible that awards would be correlated with entrance into the Hall."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
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     "end_time": "2017-01-02T21:25:59.678787",
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   "outputs": [
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>nameFirst</th>\n",
       "      <th>nameLast</th>\n",
       "      <th>yearid</th>\n",
       "      <th>votedBy</th>\n",
       "      <th>ballots</th>\n",
       "      <th>needed</th>\n",
       "      <th>votes</th>\n",
       "      <th>inducted</th>\n",
       "      <th>category</th>\n",
       "      <th>needed_note</th>\n",
       "      <th>ALCS MVP</th>\n",
       "      <th>All-Star Game MVP</th>\n",
       "      <th>Babe Ruth Award</th>\n",
       "      <th>Baseball Magazine All-Star</th>\n",
       "      <th>Branch Rickey Award</th>\n",
       "      <th>Comeback Player of the Year</th>\n",
       "      <th>Cy Young Award</th>\n",
       "      <th>Gold Glove</th>\n",
       "      <th>Hank Aaron Award</th>\n",
       "      <th>Hutch Award</th>\n",
       "      <th>Lou Gehrig Memorial Award</th>\n",
       "      <th>Most Valuable Player</th>\n",
       "      <th>NLCS MVP</th>\n",
       "      <th>Pitching Triple Crown</th>\n",
       "      <th>Roberto Clemente Award</th>\n",
       "      <th>Rolaids Relief Man Award</th>\n",
       "      <th>Rookie of the Year</th>\n",
       "      <th>Silver Slugger</th>\n",
       "      <th>TSN All-Star</th>\n",
       "      <th>TSN Fireman of the Year</th>\n",
       "      <th>TSN Guide MVP</th>\n",
       "      <th>TSN Major League Player of the Year</th>\n",
       "      <th>TSN Pitcher of the Year</th>\n",
       "      <th>TSN Player of the Year</th>\n",
       "      <th>TSN Reliever of the Year</th>\n",
       "      <th>Triple Crown</th>\n",
       "      <th>World Series MVP</th>\n",
       "      <th>Awards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>cobbty01</td>\n",
       "      <td>Ty</td>\n",
       "      <td>Cobb</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
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       "      <td>170.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>Y</td>\n",
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       "      <td>58.0</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ruthba01</td>\n",
       "      <td>Babe</td>\n",
       "      <td>Ruth</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>wagneho01</td>\n",
       "      <td>Honus</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mathech01</td>\n",
       "      <td>Christy</td>\n",
       "      <td>Mathewson</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
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       "      <td>4.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>johnswa01</td>\n",
       "      <td>Walter</td>\n",
       "      <td>Johnson</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>189.0</td>\n",
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       "      <td>4.0</td>\n",
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       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>33.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    playerID nameFirst   nameLast  yearid votedBy  ballots  needed  votes  \\\n",
       "0   cobbty01        Ty       Cobb    1936   BBWAA    226.0   170.0  222.0   \n",
       "1   ruthba01      Babe       Ruth    1936   BBWAA    226.0   170.0  215.0   \n",
       "2  wagneho01     Honus     Wagner    1936   BBWAA    226.0   170.0  215.0   \n",
       "3  mathech01   Christy  Mathewson    1936   BBWAA    226.0   170.0  205.0   \n",
       "4  johnswa01    Walter    Johnson    1936   BBWAA    226.0   170.0  189.0   \n",
       "\n",
       "  inducted category needed_note  ALCS MVP  All-Star Game MVP  Babe Ruth Award  \\\n",
       "0        Y   Player           0       0.0                0.0              0.0   \n",
       "1        Y   Player           0       0.0                0.0              0.0   \n",
       "2        Y   Player           0       0.0                0.0              0.0   \n",
       "3        Y   Player           0       0.0                0.0              0.0   \n",
       "4        Y   Player           0       0.0                0.0              0.0   \n",
       "\n",
       "   Baseball Magazine All-Star  Branch Rickey Award  \\\n",
       "0                        58.0                  0.0   \n",
       "1                        52.0                  0.0   \n",
       "2                        24.0                  0.0   \n",
       "3                        26.0                  0.0   \n",
       "4                        54.0                  0.0   \n",
       "\n",
       "   Comeback Player of the Year  Cy Young Award  Gold Glove  Hank Aaron Award  \\\n",
       "0                          0.0             0.0         0.0               0.0   \n",
       "1                          0.0             0.0         0.0               0.0   \n",
       "2                          0.0             0.0         0.0               0.0   \n",
       "3                          0.0             0.0         0.0               0.0   \n",
       "4                          0.0             0.0         0.0               0.0   \n",
       "\n",
       "   Hutch Award  Lou Gehrig Memorial Award  Most Valuable Player  NLCS MVP  \\\n",
       "0          0.0                        0.0                   2.0       0.0   \n",
       "1          0.0                        0.0                   2.0       0.0   \n",
       "2          0.0                        0.0                   0.0       0.0   \n",
       "3          0.0                        0.0                   0.0       0.0   \n",
       "4          0.0                        0.0                   4.0       0.0   \n",
       "\n",
       "   Pitching Triple Crown  Roberto Clemente Award  Rolaids Relief Man Award  \\\n",
       "0                    0.0                     0.0                       0.0   \n",
       "1                    0.0                     0.0                       0.0   \n",
       "2                    0.0                     0.0                       0.0   \n",
       "3                    4.0                     0.0                       0.0   \n",
       "4                    6.0                     0.0                       0.0   \n",
       "\n",
       "   Rookie of the Year  Silver Slugger  TSN All-Star  TSN Fireman of the Year  \\\n",
       "0                 0.0             0.0           0.0                      0.0   \n",
       "1                 0.0             0.0          12.0                      0.0   \n",
       "2                 0.0             0.0           0.0                      0.0   \n",
       "3                 0.0             0.0           0.0                      0.0   \n",
       "4                 0.0             0.0           2.0                      0.0   \n",
       "\n",
       "   TSN Guide MVP  TSN Major League Player of the Year  \\\n",
       "0            0.0                                  0.0   \n",
       "1            0.0                                  0.0   \n",
       "2            0.0                                  0.0   \n",
       "3            0.0                                  0.0   \n",
       "4            0.0                                  0.0   \n",
       "\n",
       "   TSN Pitcher of the Year  TSN Player of the Year  TSN Reliever of the Year  \\\n",
       "0                      0.0                     0.0                       0.0   \n",
       "1                      0.0                     0.0                       0.0   \n",
       "2                      0.0                     0.0                       0.0   \n",
       "3                      0.0                     0.0                       0.0   \n",
       "4                      0.0                     0.0                       0.0   \n",
       "\n",
       "   Triple Crown  World Series MVP  Awards  \n",
       "0           2.0               0.0    31.0  \n",
       "1           0.0               0.0    33.0  \n",
       "2           0.0               0.0    12.0  \n",
       "3           0.0               0.0    15.0  \n",
       "4           0.0               0.0    33.0  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "awards = pd.read_csv(\"baseballdatabank-master/core/AwardsPlayers.csv\")\n",
    "\n",
    "award_count = awards.groupby('playerID').size().reset_index()\n",
    "award_count.columns = ['playerID', 'Awards']\n",
    "\n",
    "# Convert each award into a column, value will be the count.\n",
    "award_columns = awards[['playerID', 'awardID']].pivot_table(index='playerID', columns='awardID', \n",
    "                                                            aggfunc=np.count_nonzero, fill_value=0)\n",
    "\n",
    "nominated_players = pd.merge(nominated_players, award_columns.reset_index(), on='playerID', how='left')\n",
    "nominated_players = pd.merge(nominated_players, award_count, on='playerID', how='left')\n",
    "\n",
    "# Not all players will get awards, so fill missing values with 0. \n",
    "# Note: needed_note field will also get replaced, but I don't use this field, so it's okay.\n",
    "nominated_players.fillna(0, inplace=True)\n",
    "\n",
    "nominated_players.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we separate players into two buckets, i.e. whether they are inducted or not. \n",
    "\n",
    "When we look at summary stasticis below, it seems like inducted players on average receive more awards than non-inducted players. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T21:25:59.721916",
     "start_time": "2017-01-02T21:25:59.681294"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    247.000000\n",
       "mean       9.210526\n",
       "std        9.297489\n",
       "min        0.000000\n",
       "25%        1.000000\n",
       "50%        7.000000\n",
       "75%       14.000000\n",
       "max       39.000000\n",
       "Name: Awards, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "count    941.000000\n",
       "mean       2.380446\n",
       "std        3.611713\n",
       "min        0.000000\n",
       "25%        0.000000\n",
       "50%        1.000000\n",
       "75%        3.000000\n",
       "max       47.000000\n",
       "Name: Awards, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(nominated_players[nominated_players.inducted == 'Y'].Awards.describe())\n",
    "display(nominated_players[nominated_players.inducted == 'N'].Awards.describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we visualize these using a histogram, we see that both distributions are skewed to the right. The largest bin for both represents winning just a few awards. However, the inducted players have a much longer tail, with a player winning 39 awards."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T21:25:59.742880",
     "start_time": "2017-01-02T21:25:59.729630"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_awards(df, title, bins=20):\n",
    "    ax = df['Awards'].hist(bins=bins)\n",
    "    ax.set_xlabel(\"Number of Awards\")\n",
    "    ax.set_ylabel(\"Count\")\n",
    "    ax.set_title(title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T21:26:00.270967",
     "start_time": "2017-01-02T21:25:59.787334"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OYEWzyKgkZXjkdmC7tuPnV8/pusZIg6VL72fVqm5HUqrOuXNns2zZcoaHR7odTm2mS54w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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11041e350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_awards(nominated_players[nominated_players.inducted == 'Y'], 'Inducted Players')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T21:26:00.623252",
     "start_time": "2017-01-02T21:26:00.273621"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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p+AMwIg5t2rZR0++nZebHlnFO0oTjiIg0fgwBb6eMCHxqNY+1IxCU\nQPI+4J3AtZQ3/a2Am4DTO/Z5B3AZ8CLg08B/RcQeABHxV8AlwEWUALFPc5zvdhzjPcB7gdcA13Q2\nKiL2As4HvgnMatr1pqZdANs0+32N8rHjdw53chExg/LR5Gc3RWcDfx8RTwfIzBuB24G/brafArwS\neGrTboDtgKcBF0bEnsCJwDFNv+0CrEn5OPRlnd+Pgc8AbwDeCrwceDbwirZ2vg74YHOefwl8ADg8\nIvYd7rykicggIo0jmXkncCjwzojYdTUO1Qe8MzN/m5lfAu4HvpeZX87MBD4HPCMiNmjb59zM/ESz\nz0mUMPAvTd2/Ahc39bdm5lXAW4DtImLHtmNclJk/yMy5mfn4MO36APCNzPzP5nUuAA4C9oyIzTLz\nAeAxYEFm/jEzh5Zxfm+hjEB8tXn+FWCAMkrS8i3g1c3jlzbHvZoyKgJlZOOKzHwIeAB4e2Z+JTPv\nzMxrgdMooazdE+fXvP7bgCMy8+LMvAmYQxlladmUst7ld5l5V2Z+HXgVZbRKmhQMItI4k5mnUEYf\nvhgR64zwMPdl5qNtzx+hrEFpWdB8HWgr+1HHMX5MGf2AMnrx2oh4uPWPMvUxRFlU2vKbFbTrRcO8\nzmVtdStrf2BuZt4K0ASD31BGHlq+BewQEQOUkZFLgSsoox0Af0sZnaGZQrohIo6IiLMi4sfA8Sz9\nO7T9/AJ4CnB9qyAzF1GmdFrOokxj/ToiboyI44G+zLxrFc5VGtcMItL49A7KtMGnV7RhRPQPUzzc\naMTgCg61pON5P7CoeTwF+F/gr4AXt/17PmX9ScsClq9vmLLW76nh2ryUZppoFjArIh5v/QOeB/xl\nRLyq2fSHTftfCexKCSLfB2ZHxHOAl9AEkWaq5OeUEYwfUUaCDhnm5dvPb6g5n87fs0+cR2Y+kJkv\noaz9+TplOuiKiDhiZc5VmggMItI41DZF83ba1hw0Hgemtz1/wSi97NYdz18B/KJ5fCOwRWbe1kzN\n3EqZmjiBsi5iZf2csm6l3Y6UN/VfreQx3k6ZZtmBJ4eiHSh9cyBAZi4GLgb2oEzNfI+ymPUpwEeB\nn7cthP0AcEpmzsnMz2fmlZQ1HcuTlGmXHVoFTSh8SdvzfSPioMy8OjM/mpkvB74IvHklz1Ua97xq\nRhqnMvPUiHgDZZ1D+5UjVwMHRMQVlD82Pk15Q1xVnaMT+0TEz4ELgL0ob+Ct9RSfAi6PiJOAkygL\naj9LWdD561V4zWOBsyPicMoC06As+PxWZq7wOBHxFMoVKl/PzB8PU/8VYN+IWD8z/0CZnvkicE9m\n3tFscxXl/iPtV67cSZnGmQU81Jz7e5rt18jMxzpfKzMfiYjPAB+NiN9TgtS/Ui4pblkTOC4i5lOm\nhZ4N7EQZrZEmBUdEpPFhWYsy3wE82FH/buD/KIHk68AXgBWtORju+EMdjz9JWTfxM2A/YJ/W5bfN\nm/5ulJGHnwDnUa682bUZeVjeOTwhM8+hXHHzBsroyOcoUz5vWtG+jdcBT6eEoeF8mvIH2Dua5xdR\nppgubdvme5QQdn5b2Xspi0x/SLlq57WUsALlcmUY/vz+rTmHzwLXNds8cdzMPA34CPBhSn99Dfg2\n8E/LO0lpIukbGlrh7wZJkqQx4YiIJEmqxiAiSZKqMYhIkqRqDCKSJKkag4gkSarGICJJkqoxiEiS\npGoMIpIkqRqDiCRJqsYgIkmSqjGISJKkav4/sy/erbTS9McAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1109f50d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_awards(nominated_players[nominated_players.inducted == 'N'], 'Non-inducted Players')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To compare whether the means are actually different, we will use hypothesis testing. Since the distributions are non-normal, we will use the Mann-Whitney rank test.\n",
    "\n",
    "The null hypothesis is that the mean number of awards is the same. The alternative hypothesis is that inducted players will have a higher average number of awards."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T21:26:04.334425",
     "start_time": "2017-01-02T21:26:04.322355"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MannwhitneyuResult(statistic=63950.5, pvalue=1.0392213236359205e-29)"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import mannwhitneyu\n",
    "\n",
    "mannwhitneyu(nominated_players[nominated_players.inducted == 'Y'].Awards,\n",
    "            nominated_players[nominated_players.inducted == 'N'].Awards)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the p-value here is really small, we reject the null."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Appearances\n",
    "Number of games played could approximate longevity, which Hall voters could be rewarding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:43.637952",
     "start_time": "2017-01-02T22:02:43.215180"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>G_all</th>\n",
       "      <th>GS</th>\n",
       "      <th>G_batting</th>\n",
       "      <th>G_defense</th>\n",
       "      <th>G_p</th>\n",
       "      <th>G_c</th>\n",
       "      <th>G_1b</th>\n",
       "      <th>G_2b</th>\n",
       "      <th>G_3b</th>\n",
       "      <th>G_ss</th>\n",
       "      <th>G_lf</th>\n",
       "      <th>G_cf</th>\n",
       "      <th>G_rf</th>\n",
       "      <th>G_of</th>\n",
       "      <th>G_dh</th>\n",
       "      <th>G_ph</th>\n",
       "      <th>G_pr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>aardsda01</td>\n",
       "      <td>331.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>139</td>\n",
       "      <td>331.0</td>\n",
       "      <td>331</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>aaronha01</td>\n",
       "      <td>3298.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>3298</td>\n",
       "      <td>3057.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>210</td>\n",
       "      <td>43</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>313</td>\n",
       "      <td>293</td>\n",
       "      <td>2184</td>\n",
       "      <td>2760</td>\n",
       "      <td>196.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>aaronto01</td>\n",
       "      <td>437.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>437</td>\n",
       "      <td>437.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>232</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>136</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>138</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>aasedo01</td>\n",
       "      <td>448.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81</td>\n",
       "      <td>448.0</td>\n",
       "      <td>448</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>abadan01</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    playerID   G_all     GS  G_batting  G_defense  G_p  G_c  G_1b  G_2b  G_3b  \\\n",
       "0  aardsda01   331.0    0.0        139      331.0  331    0     0     0     0   \n",
       "1  aaronha01  3298.0  288.0       3298     3057.0    0    0   210    43     7   \n",
       "2  aaronto01   437.0    0.0        437      437.0    0    0   232     7    10   \n",
       "3   aasedo01   448.0    0.0         81      448.0  448    0     0     0     0   \n",
       "4   abadan01    15.0    4.0         15        9.0    0    0     8     0     0   \n",
       "\n",
       "   G_ss  G_lf  G_cf  G_rf  G_of   G_dh  G_ph  G_pr  \n",
       "0     0     0     0     0     0    0.0   0.0   0.0  \n",
       "1     0   313   293  2184  2760  196.0  46.0   0.0  \n",
       "2     0   136     1     2   138    0.0   0.0   0.0  \n",
       "3     0     0     0     0     0    0.0   0.0   0.0  \n",
       "4     0     0     0     1     1    0.0   7.0   1.0  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def cumulative_stats(csv_path, display_head=True, agg_dict=None):\n",
    "    \"\"\"Computes aggregate stats from a CSV.\n",
    "    \n",
    "    Loads a CSV denoted by csv_path, groups by playerID. By default, numeric\n",
    "    columns will be summed unless functions are specified in agg_dict.\n",
    "    \"\"\"\n",
    "    df = pd.read_csv(csv_path)\n",
    "    \n",
    "    if display_head == True:\n",
    "        display(df.head())\n",
    "    \n",
    "    df_total = None\n",
    "    \n",
    "    if agg_dict is None:\n",
    "        df_total = df.groupby('playerID', as_index=False).sum()\n",
    "        del df_total['yearID']\n",
    "    else:\n",
    "        df_total = df.groupby('playerID', as_index=False).agg(agg_dict)\n",
    "    \n",
    "    return df_total\n",
    "\n",
    "# Merge with Appearances\n",
    "appearances_total = cumulative_stats(\"baseballdatabank-master/core/Appearances.csv\", display_head=False)\n",
    "appearances_total.fillna(0, inplace=True)\n",
    "\n",
    "appearances_total.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Positions\n",
    "We also use the appearances data to determine the player's most played position. We will use this to compare traits amongst players later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:45.457514",
     "start_time": "2017-01-02T22:02:45.305391"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>nameFirst</th>\n",
       "      <th>nameLast</th>\n",
       "      <th>Position</th>\n",
       "      <th>yearid</th>\n",
       "      <th>votedBy</th>\n",
       "      <th>ballots</th>\n",
       "      <th>needed</th>\n",
       "      <th>votes</th>\n",
       "      <th>inducted</th>\n",
       "      <th>category</th>\n",
       "      <th>needed_note</th>\n",
       "      <th>ALCS MVP</th>\n",
       "      <th>All-Star Game MVP</th>\n",
       "      <th>Babe Ruth Award</th>\n",
       "      <th>Baseball Magazine All-Star</th>\n",
       "      <th>Branch Rickey Award</th>\n",
       "      <th>Comeback Player of the Year</th>\n",
       "      <th>Cy Young Award</th>\n",
       "      <th>Gold Glove</th>\n",
       "      <th>Hank Aaron Award</th>\n",
       "      <th>Hutch Award</th>\n",
       "      <th>Lou Gehrig Memorial Award</th>\n",
       "      <th>Most Valuable Player</th>\n",
       "      <th>NLCS MVP</th>\n",
       "      <th>Pitching Triple Crown</th>\n",
       "      <th>Roberto Clemente Award</th>\n",
       "      <th>Rolaids Relief Man Award</th>\n",
       "      <th>Rookie of the Year</th>\n",
       "      <th>Silver Slugger</th>\n",
       "      <th>TSN All-Star</th>\n",
       "      <th>TSN Fireman of the Year</th>\n",
       "      <th>TSN Guide MVP</th>\n",
       "      <th>TSN Major League Player of the Year</th>\n",
       "      <th>TSN Pitcher of the Year</th>\n",
       "      <th>TSN Player of the Year</th>\n",
       "      <th>TSN Reliever of the Year</th>\n",
       "      <th>Triple Crown</th>\n",
       "      <th>World Series MVP</th>\n",
       "      <th>Awards</th>\n",
       "      <th>G_all</th>\n",
       "      <th>GS</th>\n",
       "      <th>G_batting</th>\n",
       "      <th>G_defense</th>\n",
       "      <th>G_p</th>\n",
       "      <th>G_c</th>\n",
       "      <th>G_1b</th>\n",
       "      <th>G_2b</th>\n",
       "      <th>G_3b</th>\n",
       "      <th>G_ss</th>\n",
       "      <th>G_lf</th>\n",
       "      <th>G_cf</th>\n",
       "      <th>G_rf</th>\n",
       "      <th>G_of</th>\n",
       "      <th>G_dh</th>\n",
       "      <th>G_ph</th>\n",
       "      <th>G_pr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>cobbty01</td>\n",
       "      <td>Ty</td>\n",
       "      <td>Cobb</td>\n",
       "      <td>OF</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3034.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3034</td>\n",
       "      <td>3034.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>2194</td>\n",
       "      <td>706</td>\n",
       "      <td>2934</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ruthba01</td>\n",
       "      <td>Babe</td>\n",
       "      <td>Ruth</td>\n",
       "      <td>OF</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2503.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2503</td>\n",
       "      <td>2503.0</td>\n",
       "      <td>163</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1057</td>\n",
       "      <td>64</td>\n",
       "      <td>1131</td>\n",
       "      <td>2241</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>wagneho01</td>\n",
       "      <td>Honus</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>SS</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2794.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2794</td>\n",
       "      <td>2794.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>248</td>\n",
       "      <td>57</td>\n",
       "      <td>210</td>\n",
       "      <td>1887</td>\n",
       "      <td>35</td>\n",
       "      <td>67</td>\n",
       "      <td>272</td>\n",
       "      <td>373</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mathech01</td>\n",
       "      <td>Christy</td>\n",
       "      <td>Mathewson</td>\n",
       "      <td>P</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>647.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>647</td>\n",
       "      <td>647.0</td>\n",
       "      <td>636</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>johnswa01</td>\n",
       "      <td>Walter</td>\n",
       "      <td>Johnson</td>\n",
       "      <td>P</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>934</td>\n",
       "      <td>934.0</td>\n",
       "      <td>802</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    playerID nameFirst   nameLast Position  yearid votedBy  ballots  needed  \\\n",
       "0   cobbty01        Ty       Cobb       OF    1936   BBWAA    226.0   170.0   \n",
       "1   ruthba01      Babe       Ruth       OF    1936   BBWAA    226.0   170.0   \n",
       "2  wagneho01     Honus     Wagner       SS    1936   BBWAA    226.0   170.0   \n",
       "3  mathech01   Christy  Mathewson        P    1936   BBWAA    226.0   170.0   \n",
       "4  johnswa01    Walter    Johnson        P    1936   BBWAA    226.0   170.0   \n",
       "\n",
       "   votes inducted category needed_note  ALCS MVP  All-Star Game MVP  \\\n",
       "0  222.0        Y   Player           0       0.0                0.0   \n",
       "1  215.0        Y   Player           0       0.0                0.0   \n",
       "2  215.0        Y   Player           0       0.0                0.0   \n",
       "3  205.0        Y   Player           0       0.0                0.0   \n",
       "4  189.0        Y   Player           0       0.0                0.0   \n",
       "\n",
       "   Babe Ruth Award  Baseball Magazine All-Star  Branch Rickey Award  \\\n",
       "0              0.0                        58.0                  0.0   \n",
       "1              0.0                        52.0                  0.0   \n",
       "2              0.0                        24.0                  0.0   \n",
       "3              0.0                        26.0                  0.0   \n",
       "4              0.0                        54.0                  0.0   \n",
       "\n",
       "   Comeback Player of the Year  Cy Young Award  Gold Glove  Hank Aaron Award  \\\n",
       "0                          0.0             0.0         0.0               0.0   \n",
       "1                          0.0             0.0         0.0               0.0   \n",
       "2                          0.0             0.0         0.0               0.0   \n",
       "3                          0.0             0.0         0.0               0.0   \n",
       "4                          0.0             0.0         0.0               0.0   \n",
       "\n",
       "   Hutch Award  Lou Gehrig Memorial Award  Most Valuable Player  NLCS MVP  \\\n",
       "0          0.0                        0.0                   2.0       0.0   \n",
       "1          0.0                        0.0                   2.0       0.0   \n",
       "2          0.0                        0.0                   0.0       0.0   \n",
       "3          0.0                        0.0                   0.0       0.0   \n",
       "4          0.0                        0.0                   4.0       0.0   \n",
       "\n",
       "   Pitching Triple Crown  Roberto Clemente Award  Rolaids Relief Man Award  \\\n",
       "0                    0.0                     0.0                       0.0   \n",
       "1                    0.0                     0.0                       0.0   \n",
       "2                    0.0                     0.0                       0.0   \n",
       "3                    4.0                     0.0                       0.0   \n",
       "4                    6.0                     0.0                       0.0   \n",
       "\n",
       "   Rookie of the Year  Silver Slugger  TSN All-Star  TSN Fireman of the Year  \\\n",
       "0                 0.0             0.0           0.0                      0.0   \n",
       "1                 0.0             0.0          12.0                      0.0   \n",
       "2                 0.0             0.0           0.0                      0.0   \n",
       "3                 0.0             0.0           0.0                      0.0   \n",
       "4                 0.0             0.0           2.0                      0.0   \n",
       "\n",
       "   TSN Guide MVP  TSN Major League Player of the Year  \\\n",
       "0            0.0                                  0.0   \n",
       "1            0.0                                  0.0   \n",
       "2            0.0                                  0.0   \n",
       "3            0.0                                  0.0   \n",
       "4            0.0                                  0.0   \n",
       "\n",
       "   TSN Pitcher of the Year  TSN Player of the Year  TSN Reliever of the Year  \\\n",
       "0                      0.0                     0.0                       0.0   \n",
       "1                      0.0                     0.0                       0.0   \n",
       "2                      0.0                     0.0                       0.0   \n",
       "3                      0.0                     0.0                       0.0   \n",
       "4                      0.0                     0.0                       0.0   \n",
       "\n",
       "   Triple Crown  World Series MVP  Awards   G_all   GS  G_batting  G_defense  \\\n",
       "0           2.0               0.0    31.0  3034.0  0.0       3034     3034.0   \n",
       "1           0.0               0.0    33.0  2503.0  0.0       2503     2503.0   \n",
       "2           0.0               0.0    12.0  2794.0  0.0       2794     2794.0   \n",
       "3           0.0               0.0    15.0   647.0  0.0        647      647.0   \n",
       "4           0.0               0.0    33.0   934.0  0.0        934      934.0   \n",
       "\n",
       "   G_p  G_c  G_1b  G_2b  G_3b  G_ss  G_lf  G_cf  G_rf  G_of  G_dh  G_ph  G_pr  \n",
       "0    3    0    14     2     1     0    35  2194   706  2934   0.0   0.0   0.0  \n",
       "1  163    0    32     0     0     0  1057    64  1131  2241   0.0   0.0   0.0  \n",
       "2    2    0   248    57   210  1887    35    67   272   373   0.0   0.0   0.0  \n",
       "3  636    0     3     0     0     0     1     0     3     4   0.0   0.0   0.0  \n",
       "4  802    0     0     0     0     0     2     7     4    13   0.0   0.0   0.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nominated_players = pd.merge(nominated_players, appearances_total, on='playerID')\n",
    "\n",
    "# position_cols = ['G_p','G_c','G_1b','G_2b',\n",
    "#                  'G_3b','G_ss','G_lf','G_cf',\n",
    "#                  'G_rf','G_of','G_dh','G_ph','G_pr']\n",
    "\n",
    "position_cols = ['G_p','G_c','G_1b','G_2b',\n",
    "                 'G_3b','G_ss','G_of','G_dh','G_ph','G_pr']\n",
    "\n",
    "def most_played_position(df):\n",
    "    return df[position_cols].idxmax(axis=1).str.split('_').str[1].str.upper()\n",
    "\n",
    "nominated_players.insert(3, 'Position', most_played_position(nominated_players))\n",
    "display(nominated_players.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Out of all the positions, we can see that pitchers are represented the most in our dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:47.448215",
     "start_time": "2017-01-02T22:02:47.440589"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "P     394\n",
       "OF    297\n",
       "C     101\n",
       "1B    100\n",
       "2B     88\n",
       "3B     86\n",
       "SS     84\n",
       "DH      8\n",
       "PH      4\n",
       "Name: Position, dtype: int64"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nominated_players.Position.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:49.023274",
     "start_time": "2017-01-02T22:02:48.695871"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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Qk4G9gWsi4lTgImAJsAHl9tZ9gd8Ax89wGyVJ0izVco9GZq4Edge+CPwt8B3g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\nAdXFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1145fc710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = nominated_players.Position.value_counts().plot.bar()\n",
    "ax.set_title(\"Records by Position\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_xlabel(\"Position\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pitching"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:51.138296",
     "start_time": "2017-01-02T22:02:50.880739"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "agg_dict = {'ERA': np.mean, 'W': np.sum, 'L': np.sum}\n",
    "pitching_total = cumulative_stats(\"baseballdatabank-master/core/Pitching.csv\", \n",
    "                                  display_head=False,\n",
    "                                  agg_dict=agg_dict)\n",
    "\n",
    "nominated_players = pd.merge(nominated_players, pitching_total, on='playerID', how='left')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Batting\n",
    "I merged in hitting statistics and computed the common sabermetric statistics of on-base percentage (OBP), slugging percentage (SLG), and on-base plus slugging (OPS)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:52.670111",
     "start_time": "2017-01-02T22:02:52.656562"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def slugging_pct(df):\n",
    "    return ((df['H'] - df['2B'] - df['3B'] - df['HR']) + 2*df['2B'] + 3*df['3B'] + 4*df['HR']) / df['AB']\n",
    "\n",
    "def on_base_pct(df):\n",
    "    return (df['H'] + df['BB'] + df['HBP']) / (df['AB'] + df['BB'] + df['SF'] + df['HBP'])\n",
    "\n",
    "def on_base_plus_slugging(df):\n",
    "    return on_base_pct(df) + slugging_pct(df)\n",
    "\n",
    "def add_hitting_stats(df):\n",
    "    df['BA'] = df.H / df.AB\n",
    "    df['SLG'] = slugging_pct(df)\n",
    "    df['OBP'] = on_base_pct(df)\n",
    "    df['OPS'] = on_base_plus_slugging(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:54.056402",
     "start_time": "2017-01-02T22:02:53.666940"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "batting_total = cumulative_stats(\"baseballdatabank-master/core/Batting.csv\", \n",
    "                                  display_head=False)\n",
    "\n",
    "nominated_players = pd.merge(nominated_players, batting_total, on='playerID', how='left')\n",
    "\n",
    "nominated_players.fillna(0, inplace=True)\n",
    "\n",
    "add_hitting_stats(nominated_players)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fielding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:56.111228",
     "start_time": "2017-01-02T22:02:55.543513"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>nameFirst</th>\n",
       "      <th>nameLast</th>\n",
       "      <th>Position</th>\n",
       "      <th>yearid</th>\n",
       "      <th>votedBy</th>\n",
       "      <th>ballots</th>\n",
       "      <th>needed</th>\n",
       "      <th>votes</th>\n",
       "      <th>inducted</th>\n",
       "      <th>category</th>\n",
       "      <th>needed_note</th>\n",
       "      <th>ALCS MVP</th>\n",
       "      <th>All-Star Game MVP</th>\n",
       "      <th>Babe Ruth Award</th>\n",
       "      <th>Baseball Magazine All-Star</th>\n",
       "      <th>Branch Rickey Award</th>\n",
       "      <th>Comeback Player of the Year</th>\n",
       "      <th>Cy Young Award</th>\n",
       "      <th>Gold Glove</th>\n",
       "      <th>Hank Aaron Award</th>\n",
       "      <th>Hutch Award</th>\n",
       "      <th>Lou Gehrig Memorial Award</th>\n",
       "      <th>Most Valuable Player</th>\n",
       "      <th>NLCS MVP</th>\n",
       "      <th>Pitching Triple Crown</th>\n",
       "      <th>Roberto Clemente Award</th>\n",
       "      <th>Rolaids Relief Man Award</th>\n",
       "      <th>Rookie of the Year</th>\n",
       "      <th>Silver Slugger</th>\n",
       "      <th>TSN All-Star</th>\n",
       "      <th>TSN Fireman of the Year</th>\n",
       "      <th>TSN Guide MVP</th>\n",
       "      <th>TSN Major League Player of the Year</th>\n",
       "      <th>TSN Pitcher of the Year</th>\n",
       "      <th>TSN Player of the Year</th>\n",
       "      <th>TSN Reliever of the Year</th>\n",
       "      <th>Triple Crown</th>\n",
       "      <th>World Series MVP</th>\n",
       "      <th>Awards</th>\n",
       "      <th>G_all</th>\n",
       "      <th>GS_x</th>\n",
       "      <th>G_batting</th>\n",
       "      <th>G_defense</th>\n",
       "      <th>G_p</th>\n",
       "      <th>G_c</th>\n",
       "      <th>G_1b</th>\n",
       "      <th>G_2b</th>\n",
       "      <th>G_3b</th>\n",
       "      <th>G_ss</th>\n",
       "      <th>G_lf</th>\n",
       "      <th>G_cf</th>\n",
       "      <th>G_rf</th>\n",
       "      <th>G_of</th>\n",
       "      <th>G_dh</th>\n",
       "      <th>G_ph</th>\n",
       "      <th>G_pr</th>\n",
       "      <th>ERA</th>\n",
       "      <th>W</th>\n",
       "      <th>L</th>\n",
       "      <th>stint_x</th>\n",
       "      <th>G_x</th>\n",
       "      <th>AB</th>\n",
       "      <th>R</th>\n",
       "      <th>H</th>\n",
       "      <th>2B</th>\n",
       "      <th>3B</th>\n",
       "      <th>HR</th>\n",
       "      <th>RBI</th>\n",
       "      <th>SB</th>\n",
       "      <th>CS</th>\n",
       "      <th>BB</th>\n",
       "      <th>SO</th>\n",
       "      <th>IBB</th>\n",
       "      <th>HBP</th>\n",
       "      <th>SH</th>\n",
       "      <th>SF</th>\n",
       "      <th>GIDP</th>\n",
       "      <th>BA</th>\n",
       "      <th>SLG</th>\n",
       "      <th>OBP</th>\n",
       "      <th>OPS</th>\n",
       "      <th>stint_y</th>\n",
       "      <th>G_y</th>\n",
       "      <th>GS_y</th>\n",
       "      <th>InnOuts</th>\n",
       "      <th>PO</th>\n",
       "      <th>A</th>\n",
       "      <th>E</th>\n",
       "      <th>DP</th>\n",
       "      <th>PB</th>\n",
       "      <th>WP</th>\n",
       "      <th>Opponent SB</th>\n",
       "      <th>Opponent CS</th>\n",
       "      <th>ZR</th>\n",
       "      <th>E/G</th>\n",
       "      <th>ZR/G</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>cobbty01</td>\n",
       "      <td>Ty</td>\n",
       "      <td>Cobb</td>\n",
       "      <td>OF</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3034.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3034</td>\n",
       "      <td>3034.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>2194</td>\n",
       "      <td>706</td>\n",
       "      <td>2934</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24</td>\n",
       "      <td>3035</td>\n",
       "      <td>11434.0</td>\n",
       "      <td>2246.0</td>\n",
       "      <td>4189.0</td>\n",
       "      <td>724.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>1937.0</td>\n",
       "      <td>892.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>1249.0</td>\n",
       "      <td>357.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.366363</td>\n",
       "      <td>0.511982</td>\n",
       "      <td>0.432965</td>\n",
       "      <td>0.944947</td>\n",
       "      <td>31</td>\n",
       "      <td>2954</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6507.0</td>\n",
       "      <td>410.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.094110</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ruthba01</td>\n",
       "      <td>Babe</td>\n",
       "      <td>Ruth</td>\n",
       "      <td>OF</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2503.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2503</td>\n",
       "      <td>2503.0</td>\n",
       "      <td>163</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1057</td>\n",
       "      <td>64</td>\n",
       "      <td>1131</td>\n",
       "      <td>2241</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.680000</td>\n",
       "      <td>94.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>22</td>\n",
       "      <td>2503</td>\n",
       "      <td>8398.0</td>\n",
       "      <td>2174.0</td>\n",
       "      <td>2873.0</td>\n",
       "      <td>506.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>714.0</td>\n",
       "      <td>2217.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>2062.0</td>\n",
       "      <td>1330.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.342105</td>\n",
       "      <td>0.689807</td>\n",
       "      <td>0.473960</td>\n",
       "      <td>1.163767</td>\n",
       "      <td>38</td>\n",
       "      <td>2436</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4787.0</td>\n",
       "      <td>569.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.073481</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>wagneho01</td>\n",
       "      <td>Honus</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>SS</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2794.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2794</td>\n",
       "      <td>2794.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>248</td>\n",
       "      <td>57</td>\n",
       "      <td>210</td>\n",
       "      <td>1887</td>\n",
       "      <td>35</td>\n",
       "      <td>67</td>\n",
       "      <td>272</td>\n",
       "      <td>373</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>2792</td>\n",
       "      <td>10430.0</td>\n",
       "      <td>1736.0</td>\n",
       "      <td>3415.0</td>\n",
       "      <td>640.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>1732.0</td>\n",
       "      <td>722.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>963.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.327421</td>\n",
       "      <td>0.466155</td>\n",
       "      <td>0.390953</td>\n",
       "      <td>0.857109</td>\n",
       "      <td>61</td>\n",
       "      <td>2775</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7930.0</td>\n",
       "      <td>6781.0</td>\n",
       "      <td>825.0</td>\n",
       "      <td>963.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.297297</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mathech01</td>\n",
       "      <td>Christy</td>\n",
       "      <td>Mathewson</td>\n",
       "      <td>P</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>647.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>647</td>\n",
       "      <td>647.0</td>\n",
       "      <td>636</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.648889</td>\n",
       "      <td>373.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>19</td>\n",
       "      <td>646</td>\n",
       "      <td>1684.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>362.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.214964</td>\n",
       "      <td>0.271378</td>\n",
       "      <td>0.272427</td>\n",
       "      <td>0.543805</td>\n",
       "      <td>21</td>\n",
       "      <td>642</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>1506.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.087227</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>johnswa01</td>\n",
       "      <td>Walter</td>\n",
       "      <td>Johnson</td>\n",
       "      <td>P</td>\n",
       "      <td>1936</td>\n",
       "      <td>BBWAA</td>\n",
       "      <td>226.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>Y</td>\n",
       "      <td>Player</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>934</td>\n",
       "      <td>934.0</td>\n",
       "      <td>802</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.348095</td>\n",
       "      <td>417.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>21</td>\n",
       "      <td>933</td>\n",
       "      <td>2324.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>547.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>251.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.235370</td>\n",
       "      <td>0.342083</td>\n",
       "      <td>0.273805</td>\n",
       "      <td>0.615887</td>\n",
       "      <td>26</td>\n",
       "      <td>815</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>1352.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.065031</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    playerID nameFirst   nameLast Position  yearid votedBy  ballots  needed  \\\n",
       "0   cobbty01        Ty       Cobb       OF    1936   BBWAA    226.0   170.0   \n",
       "1   ruthba01      Babe       Ruth       OF    1936   BBWAA    226.0   170.0   \n",
       "2  wagneho01     Honus     Wagner       SS    1936   BBWAA    226.0   170.0   \n",
       "3  mathech01   Christy  Mathewson        P    1936   BBWAA    226.0   170.0   \n",
       "4  johnswa01    Walter    Johnson        P    1936   BBWAA    226.0   170.0   \n",
       "\n",
       "   votes inducted category needed_note  ALCS MVP  All-Star Game MVP  \\\n",
       "0  222.0        Y   Player           0       0.0                0.0   \n",
       "1  215.0        Y   Player           0       0.0                0.0   \n",
       "2  215.0        Y   Player           0       0.0                0.0   \n",
       "3  205.0        Y   Player           0       0.0                0.0   \n",
       "4  189.0        Y   Player           0       0.0                0.0   \n",
       "\n",
       "   Babe Ruth Award  Baseball Magazine All-Star  Branch Rickey Award  \\\n",
       "0              0.0                        58.0                  0.0   \n",
       "1              0.0                        52.0                  0.0   \n",
       "2              0.0                        24.0                  0.0   \n",
       "3              0.0                        26.0                  0.0   \n",
       "4              0.0                        54.0                  0.0   \n",
       "\n",
       "   Comeback Player of the Year  Cy Young Award  Gold Glove  Hank Aaron Award  \\\n",
       "0                          0.0             0.0         0.0               0.0   \n",
       "1                          0.0             0.0         0.0               0.0   \n",
       "2                          0.0             0.0         0.0               0.0   \n",
       "3                          0.0             0.0         0.0               0.0   \n",
       "4                          0.0             0.0         0.0               0.0   \n",
       "\n",
       "   Hutch Award  Lou Gehrig Memorial Award  Most Valuable Player  NLCS MVP  \\\n",
       "0          0.0                        0.0                   2.0       0.0   \n",
       "1          0.0                        0.0                   2.0       0.0   \n",
       "2          0.0                        0.0                   0.0       0.0   \n",
       "3          0.0                        0.0                   0.0       0.0   \n",
       "4          0.0                        0.0                   4.0       0.0   \n",
       "\n",
       "   Pitching Triple Crown  Roberto Clemente Award  Rolaids Relief Man Award  \\\n",
       "0                    0.0                     0.0                       0.0   \n",
       "1                    0.0                     0.0                       0.0   \n",
       "2                    0.0                     0.0                       0.0   \n",
       "3                    4.0                     0.0                       0.0   \n",
       "4                    6.0                     0.0                       0.0   \n",
       "\n",
       "   Rookie of the Year  Silver Slugger  TSN All-Star  TSN Fireman of the Year  \\\n",
       "0                 0.0             0.0           0.0                      0.0   \n",
       "1                 0.0             0.0          12.0                      0.0   \n",
       "2                 0.0             0.0           0.0                      0.0   \n",
       "3                 0.0             0.0           0.0                      0.0   \n",
       "4                 0.0             0.0           2.0                      0.0   \n",
       "\n",
       "   TSN Guide MVP  TSN Major League Player of the Year  \\\n",
       "0            0.0                                  0.0   \n",
       "1            0.0                                  0.0   \n",
       "2            0.0                                  0.0   \n",
       "3            0.0                                  0.0   \n",
       "4            0.0                                  0.0   \n",
       "\n",
       "   TSN Pitcher of the Year  TSN Player of the Year  TSN Reliever of the Year  \\\n",
       "0                      0.0                     0.0                       0.0   \n",
       "1                      0.0                     0.0                       0.0   \n",
       "2                      0.0                     0.0                       0.0   \n",
       "3                      0.0                     0.0                       0.0   \n",
       "4                      0.0                     0.0                       0.0   \n",
       "\n",
       "   Triple Crown  World Series MVP  Awards   G_all  GS_x  G_batting  G_defense  \\\n",
       "0           2.0               0.0    31.0  3034.0   0.0       3034     3034.0   \n",
       "1           0.0               0.0    33.0  2503.0   0.0       2503     2503.0   \n",
       "2           0.0               0.0    12.0  2794.0   0.0       2794     2794.0   \n",
       "3           0.0               0.0    15.0   647.0   0.0        647      647.0   \n",
       "4           0.0               0.0    33.0   934.0   0.0        934      934.0   \n",
       "\n",
       "   G_p  G_c  G_1b  G_2b  G_3b  G_ss  G_lf  G_cf  G_rf  G_of  G_dh  G_ph  G_pr  \\\n",
       "0    3    0    14     2     1     0    35  2194   706  2934   0.0   0.0   0.0   \n",
       "1  163    0    32     0     0     0  1057    64  1131  2241   0.0   0.0   0.0   \n",
       "2    2    0   248    57   210  1887    35    67   272   373   0.0   0.0   0.0   \n",
       "3  636    0     3     0     0     0     1     0     3     4   0.0   0.0   0.0   \n",
       "4  802    0     0     0     0     0     2     7     4    13   0.0   0.0   0.0   \n",
       "\n",
       "        ERA      W      L  stint_x   G_x       AB       R       H     2B  \\\n",
       "0  2.250000    0.0    0.0       24  3035  11434.0  2246.0  4189.0  724.0   \n",
       "1  3.680000   94.0   46.0       22  2503   8398.0  2174.0  2873.0  506.0   \n",
       "2  0.000000    0.0    0.0       21  2792  10430.0  1736.0  3415.0  640.0   \n",
       "3  2.648889  373.0  188.0       19   646   1684.0   151.0   362.0   50.0   \n",
       "4  2.348095  417.0  279.0       21   933   2324.0   241.0   547.0   94.0   \n",
       "\n",
       "      3B     HR     RBI     SB     CS      BB      SO  IBB    HBP     SH   SF  \\\n",
       "0  295.0  117.0  1937.0  892.0  178.0  1249.0   357.0  0.0   94.0  295.0  0.0   \n",
       "1  136.0  714.0  2217.0  123.0  117.0  2062.0  1330.0  0.0   43.0  113.0  0.0   \n",
       "2  252.0  101.0  1732.0  722.0   15.0   963.0   327.0  0.0  125.0  221.0  0.0   \n",
       "3   12.0    7.0   165.0   20.0    1.0   116.0    74.0  0.0   17.0   69.0  0.0   \n",
       "4   41.0   24.0   255.0   13.0    4.0   110.0   251.0  0.0   13.0   70.0  0.0   \n",
       "\n",
       "   GIDP        BA       SLG       OBP       OPS  stint_y   G_y  GS_y  InnOuts  \\\n",
       "0   0.0  0.366363  0.511982  0.432965  0.944947       31  2954   0.0      0.0   \n",
       "1   2.0  0.342105  0.689807  0.473960  1.163767       38  2436   0.0      0.0   \n",
       "2   0.0  0.327421  0.466155  0.390953  0.857109       61  2775   0.0      0.0   \n",
       "3   0.0  0.214964  0.271378  0.272427  0.543805       21   642   0.0      0.0   \n",
       "4   0.0  0.235370  0.342083  0.273805  0.615887       26   815   0.0      0.0   \n",
       "\n",
       "       PO       A      E     DP   PB   WP  Opponent SB  Opponent CS   ZR  \\\n",
       "0  6507.0   410.0  278.0  113.0  0.0  0.0          0.0          0.0  0.0   \n",
       "1  4787.0   569.0  179.0   86.0  0.0  0.0          0.0          0.0  0.0   \n",
       "2  7930.0  6781.0  825.0  963.0  0.0  0.0          0.0          0.0  0.0   \n",
       "3   313.0  1506.0   56.0   44.0  0.0  0.0          0.0          0.0  0.0   \n",
       "4   292.0  1352.0   53.0   72.0  0.0  0.0          0.0          0.0  0.0   \n",
       "\n",
       "        E/G  ZR/G  \n",
       "0  0.094110   0.0  \n",
       "1  0.073481   0.0  \n",
       "2  0.297297   0.0  \n",
       "3  0.087227   0.0  \n",
       "4  0.065031   0.0  "
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fielding_total = cumulative_stats(\"baseballdatabank-master/core/Fielding.csv\", display_head=False)\n",
    "\n",
    "fielding_total['E/G'] = fielding_total['E'] / fielding_total['G']\n",
    "fielding_total['ZR/G'] = fielding_total['ZR'] / fielding_total['G']\n",
    "\n",
    "fielding_total.rename(columns = {'CS': 'Opponent CS', 'SB': 'Opponent SB'}, inplace = True)\n",
    "\n",
    "fielding_total.fillna(0, inplace=True)\n",
    "\n",
    "nominated_players = pd.merge(nominated_players, fielding_total, on='playerID', how='left')\n",
    "\n",
    "nominated_players.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:57.440595",
     "start_time": "2017-01-02T22:02:57.432534"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Convert inducted Y/N to numeric for corrplot\n",
    "def convert_inducted_to_numeric(s):\n",
    "    if s == 'Y':\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "nominated_players['inducted'] = nominated_players['inducted'].apply(convert_inducted_to_numeric)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:02:58.788104",
     "start_time": "2017-01-02T22:02:58.778307"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def corr_plot(corr, annot=False):\n",
    "    # Generate a mask for the upper triangle\n",
    "    mask = np.zeros_like(corr, dtype=np.bool)\n",
    "    mask[np.triu_indices_from(mask)] = True\n",
    "\n",
    "    # Set up the matplotlib figure\n",
    "    f, ax = plt.subplots(figsize=(10, 7))\n",
    "\n",
    "    # Generate a custom diverging colormap\n",
    "    cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "\n",
    "    # Draw the heatmap with the mask and correct aspect ratio\n",
    "    sns.heatmap(corr, mask=mask, cmap=cmap,\n",
    "                square=True, xticklabels=corr.columns.values, \n",
    "                yticklabels=corr.columns.values, annot=annot,\n",
    "                linewidths=.5, cbar_kws={\"shrink\": .5}, ax=ax);\n",
    "\n",
    "    ax.set_title(\"Correlation plot\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pitchers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's start by looking at pitchers.\n",
    "\n",
    "Below we first list each statistic and its correlation with induction into the Hall of Fame. We also visualize this with a correlation plot.\n",
    "\n",
    "The display below whos that Wins is most strongly correlated with entry into the Hall of Fame, followed by Losses and Awards. Losses seems counter-intuitive because we would expect this to be a negative trait. However, the correlation plot below shows that Wins and Losses are highly correlated (around 0.8). In other words, a pitcher who has a lot of wins will have more losses as well. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:03:01.255878",
     "start_time": "2017-01-02T22:03:00.368988"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Inducted           1.000000\n",
       "Wins               0.611305\n",
       "Losses             0.472997\n",
       "Awards             0.472801\n",
       "Errors             0.411778\n",
       "Cy Young Award     0.261780\n",
       "Games Played       0.261107\n",
       "Batting Average    0.130200\n",
       "ERA               -0.316926\n",
       "Name: inducted, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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oyD9OO4OBH77HUTfdwAfffsO/zz2fNs2b12X4y6XJKk0556prGPXNcG68pBdj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A9p+6KiqHFqL+IPaU1Rfj6bf5lJ9i8zK901un5dapzai5iGDShISSVz0hTyVqyssF9C105E1a5F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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1142b1f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pitchers = nominated_players.loc[nominated_players.Position == 'P']\n",
    "\n",
    "pitchers_corr = pitchers[['G_all', 'ERA', 'W', 'L', 'BA', 'E', 'Cy Young Award', 'Awards', 'inducted']].corr()\n",
    "pitchers_corr.columns = ['Games Played', 'ERA', 'Wins', 'Losses', 'Batting Average', 'Errors', 'Cy Young Award', 'Awards', 'Inducted']\n",
    "\n",
    "display(pitchers_corr.loc['inducted'].sort_values(ascending=False))\n",
    "corr_plot(pitchers_corr, annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Non-Pitchers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we'll look at the set of non-pitchers. We'll do a similar analysis as we did for pitchers, but we'll include more hitting and fielding statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:03:05.264175",
     "start_time": "2017-01-02T22:03:05.257059"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Merge with Batting\n",
    "non_pitchers = nominated_players.loc[nominated_players.Position != 'P']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:03:06.276214",
     "start_time": "2017-01-02T22:03:06.256604"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def create_corr_df(df):\n",
    "    fielding_cols = ['A', 'E', 'DP', 'PB', 'WP', 'Opponent SB', 'Opponent CS', 'E/G']\n",
    "    batting_cols = ['R', 'RBI', 'HR', 'H', 'SB', 'SO', 'BA', 'SLG', 'OBP', 'OPS']\n",
    "    other_cols = ['G_all', 'Awards']\n",
    "    \n",
    "    # Human readable versions of statistics.\n",
    "    fielding_human = ['Assists', 'Errors', 'Double Plays', 'Passed Balls', \n",
    "                      'Wild Pitch', 'Opp. Stolen Bases', 'Opp. Caught Stealing',\n",
    "                     'Error / Game']\n",
    "    batting_human = ['Runs', 'Runs Batted In', 'Home Runs', \n",
    "                        'Hits', 'Stolen Bases', 'Strike Outs', 'Batting Average', \n",
    "                        'On-base Percentage', 'Slugging Average', 'On-base Plus Slugging']\n",
    "    other_human = ['Games', 'Awards']\n",
    "    \n",
    "    cols = other_cols + fielding_cols + batting_cols\n",
    "    cols.append('inducted')\n",
    "    \n",
    "    corr = df[cols].corr()\n",
    "    corr.columns = other_human + fielding_human + batting_human + ['Inducted']\n",
    "    \n",
    "    corr.index = list(corr.columns)\n",
    "    \n",
    "    return corr\n",
    "    \n",
    "def create_corr_plot(df, show_plot=True):\n",
    "    corr = create_corr_df(df)\n",
    "    \n",
    "    display(corr.loc['Inducted'].sort_values(ascending=False))\n",
    "    if show_plot == True:\n",
    "        corr_plot(corr)\n",
    "    \n",
    "    return corr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As shown below, the offensive statistics as well as game played have higher correlation with induction than any of the fielding statistics listed below.\n",
    "\n",
    "I adjusted a couple of the fielding statistics to be rate statistics (e.g. Errors per Game instead of Errors), but these new statistics were even less correlated with induction.\n",
    "\n",
    "This suggests there may be a bias towards offensive statistics when voters are looking at non-pitchers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:03:09.924706",
     "start_time": "2017-01-02T22:03:09.200710"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Inducted                 1.000000\n",
       "Runs                     0.545905\n",
       "Awards                   0.535053\n",
       "Hits                     0.523258\n",
       "Runs Batted In           0.492232\n",
       "Batting Average          0.448893\n",
       "Games                    0.406961\n",
       "Slugging Average         0.400916\n",
       "On-base Plus Slugging    0.390291\n",
       "On-base Percentage       0.338724\n",
       "Errors                   0.284245\n",
       "Stolen Bases             0.263113\n",
       "Home Runs                0.238761\n",
       "Assists                  0.168195\n",
       "Double Plays             0.157303\n",
       "Error / Game             0.068916\n",
       "Strike Outs              0.036438\n",
       "Passed Balls             0.021926\n",
       "Opp. Stolen Bases       -0.017379\n",
       "Opp. Caught Stealing    -0.027387\n",
       "Wild Pitch              -0.038310\n",
       "Name: Inducted, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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UNgYkkiRJktrGgESSJElS2xiQSJIkSWqbjs7Ozt5rSa3nF1GSJA2k5odAq03MkEiSJElq\nGx+MqEHj6QlXt7T9N2y8IQAzb72jpf3Mv8qKAEyZMqOl/YwZM7rlfQxUP2PGjAYG5ndmP/3rx++a\n/QxUP37X7Gcg+9HgYIZEkiRJUtsYkEiSJElqGwMSSZIkSW1jQCJJkiSpbQxIJEmSJLWNAckwEBE7\nRcTLEbHzXGhrmaqtpftQd42I+N857VOSJEkjlwHJ8PBp4C7gM3OhrcnAEsD9faj7G2CFudCnJEmS\nRiifQzLERcQY4P3ATsBZEbFMZt7X3/YysxN4rI/VfcKpJEmS5ogBydD3SWBaZp4dEUdRsiTjACJi\nE+BYYEXgQeDozDytKvsUcBiwDHA3cFBm/i4ilgHuAd6emZOb6k0CDqzqja+OnRERG2fmLhFxJCUw\nWhj4O7BnZt42ML8GSZIkDUVO2Rr6PgX8oXp/EdW0rYgYBfwSOB94J3Aw8MOIWLHKqpwFHFGVnQGc\nExELV+10Vm001/tprd5WwAPAPsA+EbEl8DngE8AqwMNVfUmSJKlbBiRDWEQsCWxAWcsBcCGwXERs\nACwEvAl4LDPvz8xzgU0pgcLbKNmxB6uyY4GPATObuui2XmZOA2YBT2XmDEq25Hnggcy8B9gL+Eqr\nrl2SJEnDgwHJ0LYt8Bzwl+rzlcCTwGergOFk4McRcW9EnEgJHqZn5k2UrMplEXF7NdXr3sz8r4Ck\nr/Uq51ZjuSciJlKmbjldS5IkST0yIBnaPg28HpgRES9SAoKFgW0iYr7M/BJl+tSPgHWBv0XEBwEy\nc4vq2K+AjwI3RMTqVbuvLFbvpR61eo9S1qpsDvwL+Crw14iYf65ftSRJkoYNF7UPURGxArAW8CVg\nQq1oVUq2Yqtq6ta+mfkd4DsRcQmwRUTcC+yWmV8DrgcOiYhbgQ9S1p001pBED/X+1ahX1d0MWDoz\nTwUuiYjDKdPDVgOua8kvQZIkSUOeAcnQtR0wFTg9M1+sHb8tIg6hLDAPoCMijgWWBNYEfk2Z1rVH\nRDwJnE0JYpYBbqzaaGRIeqv3DLBiRCxCybYdExGPAP+sxvcMcOfcvnBJkiQNH07ZGro+Bfy8KRhp\nOAV4L2VK15rAzcB5lODlJ9X0qi2BrYFbgROBb2Tm5dX5nfDKNKye6p1MydCcnpkXU3by+j5wO7AN\nsEVmTp+rVy1JkqRhxQzJEJWZK/dQ9kPgh9XHDbqpcyllylfz8fuAeXqrV5WdQgl+Gp+/TwlIJEmS\npD4xQyJJkiSpbQxIJEmSJLWNAYkkSZKktjEgkSRJktQ2BiSSJEmS2saARJIkSVLbdHR2dvZeS2o9\nv4iSJGkgdfReRQPBDIkkSZKktvHBiBo0nr7ympa2/4b3lWdEzpgxo6X9jB49GoBHjzimpf0sftBX\nmTKltdcCMGbM6Jb3M2ZM+Z3Zz+Dtx++a/QxUP37X7Gcg+9HgYIZEkiRJUtsYkEiSJElqGwMSSZIk\nSW1jQCJJkiSpbVzUPsxExL3A0l0UdQJjM/OqAR2QJEmS1AMDkuGnE9gb+GUXZU8M8FgkSZKkHhmQ\nDE9PZeZj7R6EJEmS1BsDkhEmIu4Bzgc+AzwM7AecAVwCbAcckZnfi4idgK8DbwduAfbLzIldtZGZ\na0fEkcBOwMLA34E9M/O2gbsySZIkDUUuah+ZtgM2pQQQncAywHzAu4Bzq2DkROAIYA3gcuCPEfGW\nrtqIiI8DnwM+AaxCCXR+OhAXIkmSpKHNDMnwdGpE/LDp2L2ZuVr1/heN7EVEvI8SlByVmZOqY3sB\nx2fm2VX9A6p6XwIO6qKN9wPPAw9k5v3V+dGqi5MkSdLwYYZkeDqYktmovzarld/bxTn31d6vBPyj\nqfyv1fGu2jgXeA64JyImUjIvTteSJElSr8yQDE9TGtmObsxsPpCZL/RUDsxTvV5TJzMfjYgVgQ8A\nHwW+CuwWEWtlZldtSZIkSYAZEnUtgfWajq0H3NFV5YjYDPhcZl6SmXsCa1KmbK3WVX1JkiSpwQzJ\n8LRQRCzexfEZfTz/OOAnEXE7ZcesXYHVgR27qT8KOCYiHgH+SVnw/gxw52yNWpIkSSOOGZLh6Xjg\nodrr4ernlykL2HuUmb8CDgQOB24GNgL+LzP/U1XpbKp/MWXdyveB24FtgC0yc/rcuBhJkiQNX2ZI\nhpnMXLaXKkc21b+S/14b0jh+EnBSN30s18Wx71MCEkmSJKnPzJBIkiRJahsDEkmSJEltY0AiSZIk\nqW0MSCRJkiS1jQGJJEmSpLYxIJEkSZLUNgYkkiRJktqmo7Oz1+fkSQPBL6IkSRpIHe0egAozJJIk\nSZLaxie1a9CYfuHvW9r+QlttDsBzN97c0n5e/641AHj44CNa2s9bxh3E01dc1dI+AN6wyUZMmTKj\npX2MGTMawH4GcT+t7mOg+hmO/zbDrR+/a/YzkP1ocDBDIkmSJKltDEgkSZIktY0BiSRJkqS2MSCR\nJEmS1DYuau9BRNwLLF197ASeBW4GDs/Mv8ylPg4FNs7Msd2UjwfGZ+bh/Wh7ArBR7dAs4H7g55Rr\nmBURZwCdmbnLbA9ekiRJmkNmSHrWCewNLAG8DXgPcA3wh4jYZC730wqdwDGU8S9BCa72AvYFDmhR\nn5IkSVKfmSHp3VOZ+Vj1/hFg/4h4C/B9YI32DavPnq6NH0owdTawFfDtNo1JkiRJAgxI+us04MqI\nWC4zJ0XEwsDRwBbA/MBFwN6Z+WREvI8y5eqVbFQX06T+JyJOB7YDHgIOzMxfddVxROwO7A+MAa6r\n+rllNsf/EvBCN+0fCOxGyQg9DvwoMw+PiPWBK4ElMnNqVXdt4CrgzcDywMnAmsATwGmZOW42xyVJ\nkqQRxilb/XMb0AGsXH3+LbA6sBmwKbAScEatfm9TstYHXgbWAk4FzomI5ZorRcTmwCHAnpQb/4nA\nFRGxUF8GHRGjqgBp+2rMzeWfoUxR2wVYATgM+FZErJmZ1wIPAFvWTtkG+H1mPgOcBdxIufZdga9H\nxIf6Mi5JkiSNXAYk/TO9+jk6IlajLBzfPjNvzMzrgR2Aj0XECn1s70Hgi5l5Z2YeSwk0duui3teA\nIzPzksy8OzMPBSZX/XXnoIiYEREzgOeBS4ALgGO7qHsfsHNmTsjMyZl5GmWa2ipV+fmUIKRhG+C8\n6v0ywFTg/mrB/6aUAEWSJEnqllO2+ueN1c+nKBmBaZl5d6MwMzMiplVl07s4v9lNmTmr9rmRaWi2\nEnB0RBxVOzYf8M4e2j4F+EH1/gXgkcx8qauKmXllRKwbEUdWfa0FLA7MU1U5F9g3IhahTNFaFPhj\nVXYEcBTwhYi4GPh509oVSZIk6TXMkPTPGpRpWLcAM7upM0/16mq6VnMgOKvp8yi6XuMxL7BP1X/j\ntSLQ01qNJzJzUvV6oLtgBCAidgMuowQ5vwY2oWRvAMjMm4G7gI8DnwB+l5kvVGXfA5ajBCXLApdH\nhFsJS5IkqUcGJP2zC3BDZt4HJLBwfXpWRKwMjK7KXqiOLVg7v3l9yKpNn9cFbu+i3wSWqgUYk4Bv\nAuvNycXU7A4clpn7ZebZlMXpi1PWyzScQ1m8/xGq6VoRMV9EHA+8mJnHZ+b7gdMpQYskSZLULads\n9W6hiGjclC9GWdvxScoaicb0rD8BZ0XEXpQg7yTgysy8LSJGU7IoB0XEaZR1F2tRgouGt0fECZTp\nVY3yrbsYy3HA6RHxH+BaSgCxDWW61NwwFdg0Ii6iTEs7gvIdma9W5zzgIOAZ4C8Amfl8RGwILBUR\nB1TnbgRcOJfGJUmSpGHKDEnvjqdsxfsAcCll96mxmXl1rc6OwCTKdKdLgH9T7UaVmTMoQcy2lCle\nqwEnNvXxB8p6jBuBTwObZ+YjVdkrU74y85eUYODwqo+xwEfr61eazO4DF/ehBBM3UaZs3QT8hhIg\nNcZwN2WXsQub1r18ElgA+AfwJ2ACPudEkiRJvTBD0oPMXLaP9Z6gbKXbXfm5lAXhXZUd1kvbmzR9\nPomSgenLuHp9mnxm7lx7n8AGPdWPiA7Kc0fOaWpnEvDhvoxLkiRJajAgUZ9FxGbAh4BnM/PKdo9H\nkiRJQ58BiWbHVylbDH+y3QORJEnS8GBAoj7ryxQwSZIkaXa4qF2SJElS2xiQSJIkSWobAxJJkiRJ\nbWNAIkmSJKltOjo7Z/fZeVJL+EWUJEkDqaPdA1DhLlsaNCZNmdbS9pcbswgAU5+Z2dJ+Fl1wfgAe\nnDajpf28bZHRzLzjzpb2ATD/iu/ktoemtLSPld86BoApU1r7OxszZrT99LOfVvcxUP0Mx3+b4daP\n3zX7Gch+NDg4ZUuSJElS2xiQSJIkSWobAxJJkiRJbWNAIkmSJKltDEgkSZIktY27bPVBRNwLLF07\n9BJwN3BqZp7QjjF1JyLuAQ7NzLO6KJsAbFQ79DRwLbBnZt49u+1HxHhgfGYePucjlyRJ0n82/GC/\nHoWwwtV/HrLbGJsh6ZtOYG9gieq1LPAd4JiI2KGdA5tNncAxlGt4C/AeYCrwu3YOSpIkSSOXGZK+\neyozH6t9PisitgW2An7RpjH1x9O163g0Ir4CPBwRq2bmLe0cmCRJ0ojXMfLyBQYkc+Yl4AWAiBgN\nnAB8BFgYmAR8IzN/V5V/CjgMWIYy3eugWtnewFeAxYF/A/tm5jVV2arAD4D1gPuAH2TmKY0BRMTu\nwIHAQsD3+nENz9Y/RMTrgO8CnwTeDDwIHJmZp/fUSEQsBfwYWL9q83zgK5n5Uj/GJEmSNDJ1DNmZ\nV/028kKwuSAi5o2IrYAPAL+tDp8ArABsCqwMXAWcXtUdA5wFHAG8EzgDOCciFo6ItYCjgS8AAVwN\n/LLqZ37gj1VbqwJfBQ6OiO2r8g8CxwMHAP8LrMN/r3Xp7TrmAw4Cbq5lRw4APgxsWY31TOCk6hp6\nchIwA1gd+BjwCWC3vo5FkiRJ0DGqo1+vocwMSd+dGhE/rN6/HngGODYzz6uOTQCOyczbACLiOMoN\n+eLAGMrv+sHMvB84NiJuBmZSMiYvA5Mzc3JEfBP4fUSMArYDHs3Mb1V9TIqII4F9gbOBXYFfZOY5\nVZ+7AA/0ch0HRcTXatcBsHWt/Cbgssy8rmrzKOBQSnAypYd2lwFuAO7PzHsiYjNgWi9jkSRJUt0I\nnLI18q64/w4G1qheSwMLZ+aBtfKfAxERJ0TEn4FrquPzZOZNwB+AyyLi9uom/97MnAn8mTJN65aI\nuIGSBbkjM18GVgLWjIgZjRclm7J81fbKlAACgMx8gjJVrCen1K7jXcA3gfMjYmzVxkXAAhFxTERc\nDNxDWQw/Ty/tHg3sAEyJiHOAt2fm5F7OkSRJUl1HR/9eQ5gBSd9NycxJ1euhzGzeku3nlDUcTwAn\nU9aSvCIztwDWBX4FfBS4ISJWz8znMvM9wFhgPLBTVfYWSlblMso0qEYQsSolkGho/ga+0Mt1PFG7\njn9l5lFVv3sARMS3q2t5AfgZZSeuXr/lVZZmKWB/4A3AryLC7YAlSZJmx6iO/r2GMKdszQXVgvZt\ngXUy88bq2GZVcUdEBLBbZn4NuB44JCJuBT4YEQsAm2TmkcCVEXEg8CiwIZDAFpRsSmfV7g7A2pRp\nW7dQ1o3Ux9HInsyODl7NgOwOfCEzL6jaXLlWp6ffwbeBX2bmacBpEbE/8BngkH6MR5IkaUTqGOLZ\njv4wIJk7ZlIeMrh1REwFVgROrMrmA54E9oiIJylrP1alrLm4EXgOODQiHqVkQzYGFgRuBh4CvkW5\nwT8GeAdl8XxjN62TgEsjYiIwsarbWBfSnTdExOLV+9dRAp5NgO2rY1OBzSPiRuBtlEXzndV19GRF\nyuL3PSlrYjarrk+SJEl9NWrkTWAaeVfcPz0+MTMzX6Ssn9gauJXy8MFxwMPAWpn5KGXXqkb5iZQt\ngS/PzJuBnYGvAbcD3wC2z8w7M/Np4EOU3bv+CfyIsu3vUVW/V1fnHgBcBzxCbU1JN/ajBDoPAf+h\nTNX6Ymb+sirfGViTkn35KWX73n8Aa9V+F5219w17VP1PoDz9/QFgn17GIkmSpLoRuIbEDEkfZOZy\nfajze+D3TYfPrJVfyqs39c3nngOc003ZTZSsSXf9ngec1115U92xfajzV0pAUve9Wvlytfeb1N5P\noTy7RJJUmTrBAAAgAElEQVQkSf01xIOL/jAgkSRJkgaJjhE4ZcuARJIkSRosDEgkSZIktY1TtiRJ\nkiS1i9v+SpIkSWqfIf6Qw/4wIJEkSZIGi46Rt4Zk5F2xJEmSpEGjo7Ozx2f+SQPFL6IkSRpIg3Ju\n1D1bf6Zf90TL/vqsQXk9feGULQ0aM2bMaGn7o0ePBuClR6e0tJ95Fx8DwOQnpre0n6XftBCTpkxr\naR8Ay41ZhLsfa20/73jzIgBM/+3FLe1noY9/FIApU1r7XRszZvSw66fVfQxUP8Px32a49eN3zX4G\nsp/ByEXtkiRJktpnANaQRMR8wMnAVsCzwLGZeVw3dbcEjgCWAv4J7JOZ/5yb43ENiSRJkjRYjOro\n32v2HAO8C9gY+CJwaERs1VwpIlYGzqYEJKsDNwN/iIj55+QSmxmQSJIkSYNEx6hR/Xr1VUQsAOwK\n7J2ZN2fm74CjgS91Uf0DwC2ZeXZm3gMcACwBrDznV/oqp2xJkiRJg0Xr15CsQYkB/lo7djVwYBd1\npwKrRMT6Vf1dgOnA3XNzQAYkkiRJ0mDR+oDkLcDjmflS7dijwPwRsWhmTq0dPx/YghKwzKpeH8nM\nubpzj1O2BkhEXBwRP246tm1EvBwRhzQd/2ZE3Fi9fzkiNqre3xMRn+mm/WWqukt3U35vVd54vRAR\nt0fEPrU64xtjiYjXRcRufby2bsclSZKk2TBqVP9efbcA8HzTscbn+ZqOL0qZovVFYF3gLODMiFis\nH1fWLQOSgTOR8g9ZtzHwIDC26fh6wITq/RLAtX3so6d9qzuBvav2lgCWBb4DHBMRO1R1tqQscgLY\nlq5Td5IkSWqRjo6Ofr1mw0xeG3g0Pj/bdPy7wL8y89RqZ63dgWeAnftzbd0xIBk4E4GVqoVEDWMp\nAcB61fZrDesBVwJk5mNNKbU58VTV3mOZ+WBmngVcRtnyjcx8MjMbX0S/G5IkSQOt9btsPQgsFhH1\ne70lgOcy88mmumtTdtYCIDM7q8/L9PPquuQakoFzHfAi5R92YkQsCSwNnE7JRGwAXBER7wQWpgpI\nIuJlYOPMvKreWETMC3wf2AGYARzVz3G9BLxQtTkeGF/1/dPq2CxKNuVBYBywEyXV9xdg98xsPDFv\n1Yi4hrKF3O3ATpn5r36OSZIkaWRq/XNIbqLck67Hq7Nw3ku5V232EK/dUSuAf8zNAflX8AGSmS8C\nf+fVaVsbA9dXGYmreHXa1nqU7dWaI9RmhwMfAT4KbEOZjtVnETFvtd/0B4DfNhVfA3wZuJ8SMT8A\nfBvYEfhsNcbFgR/VztmVMgVsNeAJ4NTZGY8kSZIoi9r78+qjzHyOshbk1Ih4d0R8HNgPOB4gIhav\nPWfkdOBzEbFDRLwjIo6i/EH9Z3Pzkg1IBtZVvBqQjKVkI6CsF6kHJFf2oa1dgW9m5jWZ+Xdg3z6c\nc2pEzIiIGZT5g2dQnsx5Xr1SNUVsOjArM6dk5svAbsCBmXlpZt5BmUN4S+20kzPz4sy8C/gBZUs5\nSZIkzYaOUR39es2mrwA3AFcAJwIHV88jAXgY+CRAZv6S8nySA4Ebgf8Fxmbm43PhUl/hlK2BNRFo\n7EY1Fvhc9X4CZXH5/1D+ocf11Ei1s8EYanP6KGm23r6NBwO/qd7PBB6u5gL2qOpvUcoXEYAqKDm8\nVm1S7f10YK4+wVOSJGlEaP22v40syc50sTg9M0c1fT6D8kfsljEgGVjXAm+NiLWBt1KmRpGZt0bE\ndGAjyjy9vmRI4L8DkBf6UH9KZk7qvdprvNiHOrP60a4kSZLqZm8L32Fh5F1xG1XrRW6iTHf6R2bO\nrBVPpESpdzY9kKardh6nPMBmndrhd9Hztr+z65W2qoffPE5tGlZErBkR99fmGEqSJGkOdYwa1a/X\nUGaGZOBdBXyBskNW3QTKXs9n9rGdk4DDI2IyZYrUcXNpfA3PAItExPLAPZR1IeMi4iFgCmXh0zWZ\nOTMi5nLXkiRJI9QATNkabIZ2ODU0TaRsmzuh6fgE4PVdHO/k1WxFPQNyJGWHhPOB3wOn9dJvX7In\n9TpXAHcD/6JkRo4CLqz6mwjcR8n09LVtSZIk6TXMkAywzLwImKeL47d2c3ye2vvlau87gYOqV0O3\nW+3Wz+2hzia199OAdzdV+Vr16rHtzLySLq5FkiRJvRiBGRIDEkmSJGmwGOLrQfrDgESSJEkaJDrM\nkEiSJElqGwMSSZIkSW0z+09dH/IMSCRJkqTBosM1JJIkSZLapGMEZkg6Ojt9hIQGBb+IkiRpIA3K\nO/+H9j+0X/dEb/3uYYPyevrCDIkkSZI0WLioXWqfGTNmtLT90aNHA/DiI4+2tJ/XLbE4APdPe6ql\n/Sy1yBuZNGVaS/sAWG7MItz9WGv7ecebFwFg+kV/bGk/C22xGQB3f3jrlvbzjkt+DcCUKa39To8Z\nM3rA+ml1HwPVz0D+zuynf/34XbOfgexnMHLbX0mSJEnt44MRJUmSJLWNGRJJkiRJbWNAIkmSJKld\nOpyyJUmSJKltzJAMLhGxBHA48FFgYeBu4Ezg+MycNUBjeDPwXWAz4I3Af4DTMvOkWp01gAUy8699\naO9QYOPMHNuCsd4LLF07NB24FNgzM6fM7f4kSZI0l43AByMO2pxQRCwJ/ANYBtgaWIkSnHwJuGgA\nh3IJsCDwQWBF4DvAtyPiK7U6vwFWmI02W/UQwE5gb2AJ4K3A+4A3AT9rUX+SJEnSHBnMGZKTKBmR\nD2Vm4wb+voj4G3BrROyRmae0cgARsRqwJiWj0dgQ+76IWBbYDTiuOjaYQtmnMvOx6v0jEXEQcG1E\njK5dgyRJkgYjp2wNDtU0qc2BzWrBCACZeX9EnAl8DjglIj5LCQ6uBvYEngDGZeZPqrbGA+OB/wPe\nBVwPfD4zsw9DeZkSbHwQ+HXt+EnAObX2lwHOiIiNM3OXiFiJEqysDzxFmeI1rptrfW9VdxXKdLDD\nMvPCquyM6nreVv0+pgIHZuYv+jD2hmepZWQiYjRwAvARyjS4ScA3MvN3VfmngMOqa7obOKhWtiRw\nMvB+4FHK9LlxmdkZEfMCpwAfB+YHrgD2yMyHZmOskiRJI9pIXNQ+WK/4XdXP67spvxpYIyJeV31e\nF1gDWI9yM31yRGxaq/8N4JdVuw8Bf6yd263MvJVyY/3LiLghIo6IiPcBT2fmvVW1rYAHgH2AfSJi\nUeCq6ti6wBeBvSJin+b2qzUyvwd+CqxKWatyRkRsUKu2J3AdJWC5ADi1Cip6FRFvAL4O/L6WHTmB\nMr1sU2DlaqynR8S8ETEGOAs4AngncAZwTkQsXJ17IfAw5Xe9E7AtcGBVthfw3qrdtYE38GoGSZIk\nSX3RMap/ryFssI7+TdXPad2UT2uqNwvYMTNvy8wzgHOBz9fqX5KZJ1ZZkc8BYygZk77YDPgmsAAl\nsBkP3BkR6wJk5rSq/6eqm/7tgWeA3bP4PXAwJTBo9kXg0sw8JTMnZeY5wOnAl2t1bs7MY6sA6JBq\nHKv0MN5TI2JGRDxNWdT+CeCoWvmEamz/zsy7KUHDosDilEzMvMCDmXl/Zh4LfAyYGRGbAEtn5u6Z\neVdmXgV8Ddi3ancZ4DlgcmbeSQlY6v1KkiSpN6M6+vcawgZrQPJE9XOJbsrf2lTvrsycWiu/nrII\nvuGaxpvMfBq4s6m8W5n5QmYemZkrActTMiGvA34XEf/TxSkrAjdk5su1Y9cCS0TEG5vqrgRsUQUQ\nMyJiBiUjUl8g/5/aWBpZjp6yOwdTMhirA+tQplFdVk0jA/g5EBFxQkT8mVd/N/Nk5k3AH6r6t0fE\nUcC9mTmzGutiTWM9H1g4IhYBTgPeQlm38mfKlLA7ehinJEmSmnR0dPTrNZQN1oDkesr6jbW7KV8H\n+Fdmvlh9frGpfJ7qfPpY3qWI2CoivtD4nJn3ZOaJwAcoGYXVujhtZhfH5mn62TAvJUBYnRJErEHJ\nfmxeq/NCF+319K2bUmVbJmXmjZm5H/AgsHNV/nPge5Rg7mRK4PCKzNyCMtXsV5Ttlm+IiNWrsd7e\nNNbVKFO7pmfmbcDbge0o0+KOBP7cwzglSZLUzClbg0NmPk7ZSvfgiPivm++IWArYhfIX+YblI2KB\n2ud3A/+qfV6zdv5ClExHvbw7y1RjmK/p+HTKQvHGblb1hfcJrB0R9eBjfUqg0DwFLYEVqkBnUmZO\nArakTPuamzqAUdXak22BT2bmYdVi9UUbdaL4XmZen5mHZOaqlLUwH6zGujTweG2s76BsxdwZETsC\nW2TmBZm5M/BhYMNqXYokSZL6YgRO2RqUu2xV9gEmApdExDhgMiXQOBq4omnL39GUtRNHABtRnltS\nf/DgdhExgZJ5GQfcQ1kLQjXdaFZmPtXFGM6sxvGXiDiMsuvUCpQ1JRdk5v1VvWeAFau2zga+Bfwo\nIo4Bovp8Eq91MmXB+zjKs0LWpSwo36nX3073FoqIxav381MyI++gZDxmAk8DW0fEVMr0shOruvMB\nTwJ7RMST1XWsSgnKbqT8viYDZ0fEgcAiwI+Av1S7bC0EHBQRj1N+vztQgpnH5+BaJEmSRpYhPv2q\nPwZlhgQgMx+m7JqVlJvjOyh/jT8Z2KKp+mTK7k/XA18Fts/Mv9XKzwZ2p+xW9XrKdsKNKVsXAsd3\nM4ZpwIaUG+yzqrH8mLLL1461qidTHth4erVG5UOULMyNwA+A4zLz8C7an0yZnvVh4N/V9e2bmef1\n8Kvp7aGKx1OmTD0E3EZZlL9NZv69muK2AyVguxU4hhKgPQyslZmPUjI0jfITKVsCX179vjanZFv+\nRglwLqYEbAA/pARwZ1XnrkHJmLTqIZCSJEnDTseojn69hrLBnCFpTN3ah1dvervzcmbuD+zfTfnk\nzNytmz7GdnW8Vv4AvWQsqmzNKbXPNwMbd1P3sKbPV1AyP13V3bmLY83rUOply/Y0zqrO7ylbDded\nWSu/FFirm3Pv5b/Xt9TLOoEDqpckSZL6Y4ivB+mPQR2QSJIkSSPKCJyyNRICEqcMSZIkaWgY4tOv\n+mPIBySZ+TPKgvDuyjcZwOFIkiRJ/dYxyilbkiRJktrFNSSSJEmS2sYpW5IkSZLapWMELmrv6Ox0\nzbcGBb+IkiRpIA3KO/+pp53Zr3uiRT+/06C8nr4YeZPUJEmSJA0aTtnSoDFjxoyWtj969GgAXnzk\n0Zb287olFgdg8hPTW9rP0m9aiElTprW0D4DlxizCXY8+0dI+ll/8TQBM/+3FLe1noY9/FIC7xnb5\nfM+5Zvnx5dmjd238kdb2M+EPAEyZ0tr/7YwZM7rlfQxUP2PGlP8fsJ/B24/fNfsZyH4GJXfZkiRJ\nktQ2I3ANiQGJJEmSNEiMxEXtBiSSJEnSYDEAU7YiYj7gZGAr4Fng2Mw8rpdz3g78G/hIZl41N8cz\n8iapSZIkSYNVR0f/XrPnGOBdwMbAF4FDI2KrXs45BVhgtq+nD8yQSJIkSYNFizMkEbEAsCvwwcy8\nGbg5Io4GvgRc2M052wNvaNWYWhKQRMQSwOHAR4GFgbuBM4HjM3NWK/rsZhwrAwcDYykR3b+AIzLz\nkgHq/2Vg4+7SWhExFngoM7Ob8ncA3wU2AeYDbgG+n5nn9bWN2RzvPcChmXlWRIwHxmfm4XPariRJ\nkvqmo/VPal+DEgP8tXbsauDAripHxKLAUcAHgFtbMaC5HoJFxJLAP4BlgK2BlSjByZeAi+Z2fz2M\nY33gb8A04EPAWsDvgd9FxCcGahy9uBxYvKuCiHg9MB54GNgQWA34GXBWRGzZlzbm0JaUdJ4kSZIG\nSuunbL0FeDwzX6odexSYvwo+mh0HnJmZt8/BVfWoFRmSkygZkQ9lZuNJk/dFxN+AWyNij8w8pQX9\nNvspcG5mfrF27LsRMQY4JiIurI1vMNoUWDAz96odOzki1gA+B/ymlZ1n5pOtbF+SJEld6Gj5Eu8F\ngOebjjU+z1c/GBGbAutT7j1bZq4GJBHxZmBzYLPmm/3MvD8izqRc0CkR8VlgN0qKaE/gCWBcZv6k\nams8JUPwf5RFN9cDn+/L1KSI2ABYoRpLs+8AZzfGFxFbAN+iZHJmApcAu2XmsxFxKGXK1dha2/Vp\nTR1Ve7tWxccDOwG71qZpbRQRJ1Xj+TuwY/W7uKcqHx8Rh3UxNeplYHREvCcz/147fiAwf20s/9VG\nRLyXEsmuAvwHOCwzL6zqv44yBeyTwJuBB4EjM/P0Ln6Hr0zZiogzKP8+b6t+p1OBAzPzF1Xd+SmB\n6NbADOBQ4EfAOzJzchf/BpIkSerCAEzZmklT4FH7/GzjQHV/dyqwR2a+0MoBze0Q7F3Vz+u7Kb8a\nWKO6MQZYlzKPbT3gMEoGYNNa/W8Av6zafQj4Y+3cnqwOzMjM/zQXZObUzPwnQEQsB/yKcjMdwDaU\nzMTna6f0lEU5ENgB+HR13keBZZvq7EYJuN4NLEIJCADWqX5uRddToy4D7gSujYiJEXFwRKxbjf/B\nrtqIiMUp09J+Cqxa9XVGFaABHAB8mDId652UdT0nVVmj3uwJXEcJdC4ATo2IxmNOT6T8G/4f8Cng\n67iDmyRJ0uxr/ZStB4HFIqJ+r7YE8FzTDJl1Kfe1F0TEjIiYUR2/JCJOnqNrbDK3bxrfVP2c1k35\ntKZ6sygZg9sy8wzgXP47GLgkM0+ssiKfA8ZQbnp7szDwVB/qjQK+lJk/zczJmXkZJRBYpQ/nAuwB\nHJSZl1e7FHyW1/5Ox2XmxMy8FfgJJQAjMx+vyqdl5rNN55CZzwMbUIKVJSlZnL9FxA0RsXw3bewJ\nXJqZp2TmpMw8Bzgd+HJV7yZK9ua6zLyXskDpdZTgpDc3Z+ax1XmHUNJ9q0TEgsCOwJ5Vu9cCe/eh\nPUmSJDXrGNW/V9/dBLxI+WNyw3spf3iu+ztlhs+alPvXNarju1LuBeeaub2G5Inq5xKUjEaztzbV\nuyszp9bKrwd2r32+pvEmM5+OiDspU6v+2Ms4plKCkh5l5l0R8XxEHEjJKKwCrAz8vLdzq0U/b6WW\nDcrMOyOiORibVHs/nWq6VV9k5nRgf2D/asewjwH7UbI6a3VxykrAFrUIFsq/cVbtXRQRm0bEMcCK\nlMxTJzBPH4bzSrYpM2dEBJRgZsXqZz0r9ldg5D1mVJIkaU61eMpWZj4XEWdRZrvsQvnD936UP6xT\nzbiZnpkz+e/7WKr7v4dqfxSfK+Z2huR6ytqHtbspXwf4V2a+WH1+sal8nup8+ljenRuABSPiNX/5\nj4hlI+KPEfHWaoH4rZQb+SuBXYDza9W7mq7VCOIaOxM0f2uaPzdvc9ynb1lE7BYR2zQ+V1mk7wDb\nA6t3swvCvJRganVejWRXoVpLExHfrspfoOzY9Z6+jqc6p1kHXf8eDEYkSZL6oaOjo1+v2fQVyv3y\nFZSp9wdn5u+qsocp64270pINoeZqhiQzH4+I3wAHR8TF9YXtEbEU5YZ/v9opy0fEArUpS++mPCuk\nYc3a+QsByzeVdzeOGyLiDsov+wtNxV+i3LA/DOwLXJmZO9b6WQG4rfr4AjC6VvYGymJwMnN6RDxE\nCb5uqcqXow+ZmT5ajbLd76+ajk+n7ITQ1ZS0BP43MxuL3YmI/SgZjKMo2acvZOYFVdnKVbU5CSDu\nogSOa1OCOij/joN5BzNJkqTBqfWL2snM54Cdq1dzWbcJi8zsy6ya2daKbX/3ASZSFryMAyZTblCP\nBq5o2vJ3NCVddASwEWWXprG18u0iYgIl8zIOuIey8xYRsQgwKzO7WyuyJ2UR/CzKjk8vUrILewHb\nZGZnREylZBvWodzo707J4txdtXEdcHhEbA3cTFnHUd+z+URgXETcT5kmdgLlRryvN+PPAKtGxE1d\nXMcJwI5VgPc9yhS4VYEjgZNqWaZX2gBOBvaqfu8/oyxGOoKy8xfVGDePiBspO2YdX421eaeFPsvM\nZ6pduH4QEZ+jZN1OqIoNSiRJkmZHi5/UPhjN9SvOzIcpi2QSOBu4g/JgxJOBLZqqT6ZkKq4Hvgps\nn5l/q5WfTQkSrgNeT9lOuDFl60LKDXV345hAecL524FLKesaNqraaKSkflAdvxS4CliKstvXWlUb\nl1O20P0RZT3LvykLfBqOoew4dQFlMfxFlJvwxvSm3m7If0AJNg7tYvyTKIvaZ1XXegdwLHAWZV3J\na9qottjdnLKT1r8pv/d9a09235mSdbqFshPX+ZSHWDbWo9SDqd7GXi//KiVgu4yS0Tm7Ot7SLeIk\nSZKGndYvah90Ojo72/NH7P9n777jpCjSP45/FlAxrIi6oCiiqDwq5nxGxAvqGc54ngkwngEw6+kh\nijnnHBFzjj/j6WE8wxnO+IiCoIKwAsKSBN39/VE10owzu7PL9s4s832/Xv1iuru6qnppeM2zT1V1\nfA/JYHfvnuf8r+/BaNmeFc7M/gS8m5mYb2bLEt50uUo5vX/DzHYjrO41I+5vQsiSLe7u2XNo8qmr\nqalpuNR8qKwMo+/mfD8+1XYWWq4zAGMmTUm1nZWW7sDI6nwL2jWf7lUd+XL8pIYLzofVOoeF96Y8\n9lSq7XT4y84AfLldrlcUNZ/VXn4ytNPrz+m28++nAaiuTvffTlVVZepttFQ7VVXh/wG1U7rt6FlT\nOy3YTknOeZ3y5LNN+nLeYZcdSvJ+CpHGkK1ycgRwtJllMhZDgLfLKRiJBgM7m9kFwJKE4XmPNSIY\nERERERFoygT1Vq+U8zutYf7B0YQ5Ja8Db8RjexSvO0WzH2Fo3HvA84SJ7ocVs0MiIiIirVKbiqZt\nrVjRMiTuPpQw8Trf+d4t2J0mifNlyjEAmYe7f05hL6wUERERkfqUYYZEQ7ZEREREREpFK5+g3hQK\nSERERERESkRFKx9+1RQKSERERERESkUZDtkq2rK/Iln0IIqIiEhLKslv/jX/Gt6k70SV229bkvdT\nCGVIRERERERKRDku+6uARErGOyO/TbX+TbqvCMCnY6tTbWetLlUA/PjAo6m2s9Q+u/PN4QNTbQOg\n601XMvvrdF+ts/DKKwEw/fW3Um1n8S03A1rmpZULWjt6WZ3aaal29KypnZZspyS10aR2EREREREp\nFmVIRERERESkaLTKloiIiIiIFEuF3kMiIiIiIiJFoyFbkouZfQ2slONUHbCdu7/Swv05E5jl7hfk\nOd8LOBHYFKgERgB3AJe7u5bXFRERESlVZThkq/xyQk1TBwwAlsvalgfeKEJ/tgf+leuEmfUBngc+\nB3oDPYDzgeOAK1uqgyIiIiLSBBVtmra1YsqQFG6qu08odifMbHFCkPFujnOdgKuA09z9ksSpe81s\nDPBvMxvi7j+0TG9FREREpDEqyjBDooCkmZjZKOB+4CBgHHACcDvwDLAfcK67X2xmfYGTgZWBj4ET\n3P3VXHW4+0Y5mtoGeCPP0Ku/AnOAy7NPuPvrZtYjE4yYWRdC8NIbWAz4BOjv7m+YWTdgFLAzcC2w\nLHArcDNh6NeawMvAvu4+PdZ3BHAKUAW8Awxw948L+dmJiIiISFSGc0had36n9OwH/B7oSxjm1Q1Y\nBNiQkKXoC1wNnAusRxh29X9mtnyeOnLJO1wL2Ax4y91/yXXS3Ucldu8CKuI16wPfANdlXXIKsAtw\nKGHI2iPx2B+A38XjmNkuwBnA0bGuV4GXzKxDnn6KiIiIiADKkDTGDWZ2bdaxr919ncT+Xe7+KYCZ\nbUsISi5w95HxWH/gCne/O5b/Ryx3DHB6dh15bE8IWnJZFpjnNeRm9i/C5PaMw939XuBR4GF3HxvL\nXQ88lVXfkJjl+NjMrgTucfeXYvkXgTViuZOA89z9mbg/2Mz+DBxAyLCIiIiISCHKMEOigKRwgwhf\n4pPmZO1/neO60YnPawJnZp1/Mx6vrw4AzGwZoMrdP8tTZDKwVNaxA4H28fNwYKH4+QZgXzPbghBY\nbMS8GbM6wrCtjJnMey8zCdkfYv8vMrPkql+LEOa6iIiIiEiBKtqU3wAmBSSFq85kOuoxK/uAu8+u\n7zzQNm71lcnoTZi7kc9bhKxLRWaOSSYDAmBmP8c/K4AXgSUJc1aeIAQQD2fV93PWfm2edtsBA4GX\nso5PraevIiIiIpKtDAOS8rvj4nJg86xjmxOW6C1EffNHAO4lBBZHZ58wsyWBJeLuWsDWwPbufkEc\natWlwD7k4kBXdx+Z2YB/8tt7FREREZH6VFQ0bWvFlCEpXAcz65zjeI27zyiwjsuAW83sM0I24xBg\nXcKwqkJsT5gQn5O7jzezw4Hb40pZ9xCGcW1NmHReQVhN60fgF2A/M3uCMMfkTAAzWzhW15gn+zLg\nZjMbQXgvyxHA3vX1VURERERyKMNlf5UhKdwVwNgc27HxfINvQHf3B4HTgCHAh4QlfP/g7iMaqsPM\nVgLq3P2bBtp4gBCAdCVMUv8stvkQsJa7/9fdvwOOJCw//DFh5az+hCFaG+TpS96+xTZPj/f1EbAd\nsLO7f1VfX0VERERkXhUVbZq0tWbKkBTA3VcpoEz3rP3hzDs3JHP8GuCaQurIOjeGAieJu/t7wL4N\nlLkFuCXr8P2Jz/P0Pcf99cvaz3tfIiIiIlKgVj78qikUkIiIiIiIlIoyHLKlgEREREREpFQoQyIi\nIiIiIsXS2ueDNIUCEhERERGRUqEhWyIiIiIiUjRl+GJEBSQiIiIiIiWiQnNIRERERESkaMowQ1JR\nV9fg+/xEWoIeRBEREWlJJZmKmD36myZ9J1q4W9eSvJ9CKEMiIiIiIlIqNGRLpHhG7XVQqvWv8tCd\nAEy45OpU2+l0Yn8AZr73YartLLrhevz44OOptgGw1N67Me2lV1JtY4ne2wDwxfiJqbbTo/MyAIyZ\nNCXVdlZaugMAY3+clmo7XZZaAoBvJk9NtZ2uHZdk4vRZqbYBsMzi7amurkm1jaqqSgC1U8LtpN1G\nS7WzIP7dLIjtlKKKMlxlq/wGqYmIiIiISMlQhkREREREpFToxYgiIiIiIlI0mkMiIiIiIiJFU4Zz\nSPNIq1UAACAASURBVBSQlAEz+xpYKXGoDvgReBU4xt2/LUK3RERERCRLRQsM2TKzRYDrgD2AGcCl\n7n5ZnrIbANcD6wAfA0e6+3vN2Z/yG6RWnuqAAcBycVsR2AdYG7ijeN0SERERkXm0qWja1jiXABsC\nvYCjgMFmtkd2ITNbDHgaGB7Lvwk8bWaLzs8tZlOGpHxMdfcJif1xZnYGMMzMKt09/XUWRURERKRe\nM9sv0qTrCl3IOAYZhwB/cvcPgQ/N7CLgGOCRrOL7AjPc/ZS4f6yZ7QTsDdzZpI7moICkvM2Of9aa\nWS3Qy91fATCzPsCZ7r6KmW1LyKRcCPwTWIrwwB7i7nPMrANwG9CbkI15GjhKQY6IiIhIyVmPEAO8\nmTj2GnBajrKbxXNJrwO/oxkDEg3ZKlNmtipwKvCMu0/PU6wu8bkLsCfwR2D3+DnzJsMhQCfCw9mL\n8KCf3vy9FhEREZH5tDzwg7v/nDg2HmhvZsvkKDs269h4wvD/ZqMMSfm4wcyujZ/bEbIjjwLHFXh9\nO6C/u38OfGpmzwKbALcC3YBpwGh3n2lmewHlt0SEiIiISOlbDPgp61hmP3u8WL6yTRtXlocyJOXj\nDELmYivgWWAkcJq7T25EHV8mPk8FFoqfrwS2AKrN7DFgU2DEfPdYRERERJrbLH4bUGT2ZxRYNrvc\nfFFAUj4muPvIOHlpH0IG4wkza5un/G+yZ1mpPWIduPvLQFfgSMKDeyNavUtERESkFH0HLGtmyThg\nOWCmu/+Yo+xyWceWA8Y1Z4cUkJQhd58DHAqsz9whW7OZd4GGVQutz8yOBTZ292Huvi9wMGGOiYiI\niIiUlg+AOcDmiWNbA+/kKPsfwiiYpC3j8WajOSRlyt3fNbNbgUFmdjfhIexvZg6sBfQlZDsKsSJw\nuJn1AyYBewHN+sIcEREREZl/cb7vnYT5xQcTvsedAPQBMLPOwBR3nwU8BJxvZpcDNwF/J8wreaA5\n+6QMSXmoy3P8NEKEfCFh7ellgY+AE4FBjah/EGFJuMeB9wkP6gFN7ayIiIiIpOp44L/AS8DVwCB3\nfzyeG0cY3k98hcPOwDbAu4R5wju6+8zm7IwyJGXA3bvnOT6REIRkbJxV5NZYbjgwz1wTd++X+DwT\nODxuIiIiIlLC4ne3fnHLPtcma/9dYKM0+6OARERERESkRMxpu1DDhRYwGrIlIiIiIiJFowyJiIiI\niEiJqMs383cBpoBERERERKRE1JZhRKKARERERESkRNQpIBERERERkWJRQCIiIiIiIkVTjkO2Ksox\nCpOSpAdRREREWlJFsTuQy9gfpzXpO1GXpZYoyfsphDIkUjJG739YqvV3u/tmAMafe0mq7XQ+/UQA\nfq7+IdV22lUty4x33ku1DYDFNtmQacNfT7WNJbbdEoDvJtek2s4KHSsBqKlJt53KygWvnU++m5Bq\nGwA9V+jE1/senGobK993GwDV1en+zKqqKtVOE9tJu42WamdB/LtZENspReWYLFBAIiIiIiJSImrL\ncNCIAhIRERERkRKhDImIiIiIiBRNOU5qV0AiIiIiIlIiamsVkIiIiIiISJGUYYKkPAMSM/saWClx\nqA74EXgVOMbdv23h/twO9In9qABmAu8Dx7r7uwXWsQSwu7sPi/tVwLbu/tB89KnO3X+z5I2ZbQu8\n7O5tmlK3iIiIiORWjnNIyvULZR0wAFgubisC+wBrA3cUqU/3J/qzPvAW8LSZLVbg9ccD/RL7FwI7\nNWsP51V+/1pEREREUlZLXZO21qwsMyTRVHdPLqw/zszOAIaZWaW7p78Q+rxmunt1/DzBzE4GDgN6\nA08VcH32y3AqUNAgIiIi0qqUY4aknAOSXGbHP38BMLNaoJe7vxL3+wBnuvsqcdjSHYRMxD+BpYBH\ngEPcfY6ZdQBuIwQUdcDTwFGFBjru/ouZ/ZQ8ZmanAYcCKwA/ADe6+5DYr8GxzC/AEMIQMMysl7t3\nj/25BtgVqIl9PdndZ8VyWwNXAsbcAGh6IX01s1HARcBBhOzO58DB7v5+IdeLiIiISFCOAUm5Dtn6\nDTNbFTgVeMbdZ9RTNPmUdAH2BP4I7B4/HxTPDQE6Ab8DegHrAacX2Je2ZnY08BPwUjx2EGGY2cHA\n6sBZwJlmtj5wH3Ap8AZhyNclwAOEYWAbx2pvA5aI/flLPH5NrHtZ4EngOUJA8SmwdyF9TTgTOA9Y\nB5gCXNXI60VERETKXm1d07bWrJwzJDeY2bXxcztCduRR4LhG1NEO6O/unwOfmtmzwCbArUA3YBow\n2t1nmtle/HZYVdIBZpYJAtoTgsXjE8HRaKCfu/877t9kZmcCPd39AzObBszODPsys5mESemTYrC1\nG9Axk6ExsyOA983sOOCvwAR3/0es+ywza+z8k9vd/clY96XAg428XkRERETKUDkHJGcQhi1VEn67\nvzJwmrtPbmQ9XyY+TwUWip+vBB4Dqs3sReAh4J566nkcOJkQtLQHtgKuMLPJ7n6nuw83s03N7Dxg\nTWADoDPQtoA+rkEIcMaaWfa51WJ9H2YdfwcodEI95P85iIiIiEiBNGSrvExw95Hu/iFhha0K4Akz\nq+8L/m8COHf/OetQRTz+MtAVOBKYBdxI/St41bj7qNinT939JuBO4BgAMzsUeBFYhBDc9Aa+a/Au\n5/b7R2BdwtCxzNYD+CzZ74TZNE5jy4uIiIhIlrq6uiZtrVk5ByS/cvc5hMni6zPvkK3ZhAxKxqqF\n1mlmxwIbu/swd9+XMPdjz0Z2rQ1zMyBHAGe5+wnufjcwiZAhyQQS2U9ict+BDgAx4BkJLE6Ya7Iw\n8DGwoZklg5INGtlXEREREZlPtXV1Tdpas3IesjUPd3/XzG4FzjCzu9z9e8Kwpf5m5sBaQF9CtqMQ\nKwKHm1k/QvCwF/BePeUXNbPO8XNbwpCt/QiT4wEmAr83syeAJYFzCX9/i8Tz04EuZtbN3UfH/Z5m\n1sXdPzez54B7zKw/UAvcBPzg7lPN7D7CsLUrzewawnyTrYBRBd6riIiIiDSD1h5cNEW5Zkjy/U2f\nRsiKXBT3+wPLAB8BJwKDGtHGIOA1wtyQ9wnzMQ6op/w+wNi4jSKsWHUOcHE8P5AQiHxAGLL1AWES\nfiaT8SghkPkkrpo1jDB35IN4/kBgJGHY1/OEoVp/A3D3H4EdgE1j+e2BoY241/L7lyMiIiKSgnIc\nslWWGRJ3757n+ERg2cT+B4RVs5JujeeGkzWh3N37JT7PBA6PW0P96ce8b1nPVcaBLes5P5KwHHDG\nD4RliTPnJwL713P9B8DmDfU1lp3n3rN/nrl+NiIiIiLSsHLMkJRlQCIiIiIiUorKMB5RQCIiIiIi\nUipa+/CrplBAIiIiIiJSIjRkS0REREREikYZEhERERERKZoyjEcUkIiIiIiIlAoN2RIRERERkaIp\nxyFbFeV401KS9CCKiIhIS6oodgdyeeXzUU36TrTNGquU5P0UQhkSKRkTLrwi1fo7nXIsANVX3pBq\nO1UD/w7AF+MnptpOj87L8NWEyam2AbBqp47MHvl1qm0s3H1lAEZWp3s/3as6AlBTU5NqO5WVlQD8\nPL461Xbada4CWuZ+Hn/3k1TbANht455MuOTqVNvodGJ/AMb0OTLVdlYaej0A1dXp/t1UVVUucO2k\n3UZLtbMg/t0siO2UIg3ZEhERERGRoinH0UsKSERERERESkQ5BiRtit0BEREREREpX8qQiIiIiIiU\niNryS5AoIBERERERKRXlOGRLAcl8MrNRwGB3vzPreB/gTHdfpTg9m6cvtVmHaoGJwHPAMe4+teV7\nJSIiIiLZyjEg0RySdJXSE7U7sFzcugGHAzsClxWzUyIiIiIyVy11TdpaM2VIysdkd5+Q2P/OzHoC\nJwCHFqlPIiIiIpJQjhkSBSQtxMxWAC4HticMmboHONHd58ThXX2BF4ATgVnAycBM4FKgA3Cju58a\n61oYuBjYL1b/LDDA3Rv7VrnZwM+xzm7AKGBldx8Tjw0Gern7dok+DgeOJjw7t7n7CbFsV+AWYAtg\nBnA/cLy7/9zIPomIiIiUrVKY1G5mFwAHE0ZT3erupxRwzZLAp8Bp2VMZGqIhW+mpyHwws4WAl4FF\nga2BvYE/Axclyv8OWAXYGLgPuAEYAOwMHA+cbGbrxbLnAxsBOwC9gCWBBxvTOTNbnxBYJK/L9U8g\neWwLoEf88xhgoJltH89dA9QA6wK7AXuizIuIiIhIo9TW1jVpay5mdgKwL3O/z+1vZscXcOlFwPJN\naVMZkuZxg5ldm3WsHTAuft6R8Be0cZxA/qmZHQ08YWanxzIVQH93n2VmNwHHAme4+8fAx2Z2PrCG\nmX1BCCQ2cvdP4NcJ9D+YWc/MsRyeSUxuXxiYCtwNNBjxJrQBDnP36cCI+HBuAvyLMC/lv8A37j7K\nzHYCGpuxERERESlrJTBkawDwT3d/E8DMTgHOpp55x2a2FdAb+L4pDSpD0jwGAetlbWckzq8BfJG1\nmtUbhKBltbg/3t1nxc8zCZmJ0YnyM4FFgO6EgOJNM6sxsxrgm1imRz19PCT26/fA28D/CA/bT424\nz/ExGMmYCiwUP18EHABUm9k9JIZ+iYiIiEhh6urqmrQ1BzNbHugKvJo4/BrQzcw657lmYeAm4CjC\ndIBGU0DSPKrdfWRyA5ITyGfluKYtISvSNu7nmmuRvVwvzM1qbcm8AVAP4Pl6+jg29u0tYFfAgLsS\n53M9ydkZtFwPWQWAu99DeIBPAZYAHjSzIfX0R0RERESyFHmVreUJ3wnHJo6NJ3zfWzHPNacD/3X3\nF5vaqIZstQwHepjZUu7+Yzy2BTAH+Iow76JQXwG/AMu6+0cAZlYF3EoY5jWywc64TzazAcBDZraX\nuz9ECDYqgMpE0e6FdsrMzgEecPebgJtieu8g5s0UiYiIiEg90h6yZWbtgRXynF4CwN2Tv4TOjKZZ\nJEddaxFeJbHO/PRJGZKW8QIhUBhmZmub2XbAVcDd9byUsCLXQXefBtxMmLeybXwQhgGrElbJKoi7\nPxL7dWl8MMcThn6dZGarmFlfwsT7Qq0BXGNm68TlhHcC3mvE9SIiIiJlr66uaVsjbAaMAL7IsW0K\nvw7DysgEIjNy1HUTYc7zD427y3kpIJl/DT4C7l5LGCYF8B/Ckr+PAn9vRL3J/RMIwcRDhLkoPwE7\nuXu+vuQ7PgDoTFierY4wz2RT4BPCqgrn1NO/7HqPJExk+nfs07fAwAauFxEREZGE2rq6Jm2Fcvfh\n7t7G3dtmb4QFjyC8SJvE5zrmLtYEgJmtRBjxc2liXvNKhF+aP92Ye9aQrfnk7jmHNbn7UGBoYn80\nsEsjyrbNKtM98XkmYdndYwrsY9s8xx1on9h/EVgrq9glufoYj/VOfK4G9imkPyIiIiKSWzFX2XL3\ncWb2DbAV4RfoEF5ZMcbdx2cV/465izNlDAeuSFxbEAUkIiIiIiIlogSW/b0euNDMviNMITif8EJu\nAMxsWWBmXHl1nrnLZvYzYbGnebIpDVFAIiIiIiJSIhoz/ColFwNVwCOEVWBvcfcrE+ffAW4Hcq2m\n2qTOKyARERERESkRxQ5I4tznE+OW6/wq9Vxb8AqtSZrULiIiIiIiRaMMiYiIiIhIiSiBOSQtTgGJ\niIiIiEiJqC2/eISKcozCpCTpQRQREZGWlPMl1MU29JV3m/SdqM82G5fk/RRCGRIRERERkRJRjskC\nBSRSMr760x6p1r/qc48AMOGiq1Jtp9PJAwCY/vpbqbaz+JabMfWp51JtA2DJnf/ElCefTbWNDrvs\nAMBXEyan2s6qnToCMKFmRqrtdKpcDIBJM2al2s7Si4X3mk6cnm47yyzenpHV6f7dAHSv6shXf/hL\nqm2s+sJjAHy9T79U21n5gdsB+OG6W1NtZ9mjDgGgurom1XaqqipbrJ2022ipdlryZ6Z2mt5OKSr2\nKlvFoIBERERERKRElGE8ooBERERERKRUaMiWiIiIiIgUjYZsiYiIiIhI0ShDIiIiIiIiRaMMiZQt\nMxsFDHb3O7OO9wHOBHoBo4CV3X2Mma0CmLunu/ySiIiISBkpx4CkTbE7IK1CHTAGWA74Jh67Fdi0\naD0SERERWQDV1dU1aWvNlCGRgrh7HTAhcajVvg1UREREpFS18tiiSRSQSEHMrBtxyBZwFrAtsI2Z\n9XL33mY2ADge6Ax8BBzn7q8Xq78iIiIirVE5DtlSQCINSWZCMv9CBgI9gNeB88xsfeAi4C/Ap8Cx\nwAPACi3YTxEREZFWr7UPv2oKzSGRpBvMrCa5AdcnzlcAuPtUYDYwzd1/JGRNaoEx7j4G+CdwgJnp\n+RIRERFpBM0hkXI3CHg069iewJENXPccYZjWx2b2PvA4cLO71zZ/F0VEREQWXBqyJeWu2t1HJg+Y\n2YR8hTPcfSawmZltC+wC9AX+bmYbufu4VHoqIiIiIgsEDamRpvo1fDezzc3sNHcf7u4nAmsAiwJb\nFa13IiIiIq1QXRO31kwZEmmq6cDqZlYFzAQGm9l44EXCSxQXB/5XvO6JiIiItD7lOGRLGRLJKOTp\nT5a5BdgReMbdPwT6AScBnwGnAvu7uzd7L0VEREQWYJrULmXL3bvnOT4UGBp32yaOP06YvJ7Zvwe4\nJ80+ioiIiCzoamtbd3DRFApIRERERERKRGvPdjSFAhIRERERkRJRjnNIFJCIiIiIiJSI8gtHFJCI\niIiIiJQMDdkSEREREZGi0ZAtEREREREpmnLMkFSU401LSdKDKCIiIi2potgdyGXQA8806TvR2fvs\nWJL3UwhlSERERERESkQ55goUkEjJ+PHhJ1Ktf6k9dwXgpxFfpdrOIquvCsDMjz5JtZ1F1+nJ5Hse\nTLUNgI777U1NTU2qbVRWVgIw9sdpqbbTZaklAPhi/MRU2+nReRkAvpowOdV2Vu3UEYAvx09KtZ3V\nOi/NrE8+T7UNgPY916D68mtTbaPquKMBmPnhx6m2s+h6awMwbkq6z/TyHcIzPemOdN9Lu3Tf/QCo\nrk73/4KqqsrU22ipdqqqwv9raqe02ylF5Th6SQGJiIiIiEiJ0KR2EREREREpGgUkIiIiIiJSNOU4\nZKtNsTsgIiIiIiLlSxkSEREREZESUY4ZEgUkDTCzdsA/gQOBFYDvgYeBwe4+LZapArZ194cKqG9b\n4GV3b/bslJndDvQhvNOjApgJvA8c6+7vNnd7IiIiItK8assvHtGQrQJcBOwOHAL0APoBfwSSayxe\nCOzUiDrTfNTuB5aL2/rAW8DTZrZYim2KiIiISDOoq6tr0taaKUPSsD5AP3f/d9wfY2ZHAK+aWWd3\nH0/IRpTKkzDT3avj5wlmdjJwGNAbeKp43RIRERGRhrT24KIpFJA0rBbobWZPunvmCXkT6AlMNLPB\nhKAFM+vl7t3NbClCZmVXoD3wBDDA3X/MrtzMVgSuA7YHxgN3AGe7e52Z9QH6AsOBowl/X7e5+wmF\ndt7dfzGzn7LaPA04lDAE7QfgRncfEs+tC1xPyK5MAm5y97PjuYWBi4H9YlXPxvuaHM8PAI4HOgMf\nAce5++uF9lVERESk3JXjsr8astWwK4EBwNdmdp2Z7QEs5u6fu/vPwCXAA4ShUhvHax4D1iUM4/o9\nsCZwe576HwHGAesRgo+/Aaclzm9BGCq2BXAMMNDMti+k42bW1syOBn4CXorHDor3czCwOnAWcKaZ\nrR8vuxN4L/b5EOBkM9shnjsf2AjYAegFLAk8GOvdgBCE/R0w4LX4cxERERGRApXjkC0FJA1w93OA\n/YExhKFPDwFjzaxvPD+dMHl8prtPihmGrYH93f29OJn8AGA3M1s9WXcMLFZy9yPc/Ut3fwU4CTgu\nUawNcJi7j3D3u4EPgU3q6fIBZlZjZjXALOAq4GJ3nxHPjyYOQXP3Me5+E2Gifs94fmVgIvCNuz9P\nCKjeM7NFCVmaI9z9v+7+CSEz1MvMegLdCNmkMe4+hrAQwAFmpmdMREREpEC1dU3bmpOZXWBmE8zs\nBzO7sIGyW5vZu2Y2zczeK/QX50n6slgAd7/X3bcGOhGGK30M3BKzAtnWAH50968S1zswmZB1yC67\nbCaAiEHE/cBSZtYxlhkfg56MqcBC9XT3cUJ2Zr24HQmcHzMjuPtwwlCz88zsUTP7mjDEqm28/lxg\nEDDOzG4B2rv7BKA7sDDwZqKv3xDmz/QAniMM0/rYzP4LnAh87u619fRVRERERBJq62qbtDUXMzsB\n2BfYDdgT2N/Mjs9TtoowNeEeYG3CyJnHzaxLY9pUQFIPM1vHzC7J7Lv7ZHe/jzBc6TvCRPFss/JU\n15a5X/oz2gGfMW8AsQ7hC/6UWGZ2jroq6ul2jbuPcveR7v5pzIDcSRjuhZkdCrwILELI9vSO95K5\nx4sJwccFwCrAv8zsYObON9oy0df1CMO+nnf3me6+GbAd8DJh+Nl/zWz5evoqIiIiIgl1dU3bmtEA\nYJC7vxl/kX0K8XtkDlsCc9z9Mnf/2t3PJ3wX3rwxDSogqV874HgzWy950N3nADOACfFQ8jFwQobj\n1+FZZrYWUBnPkVV2JeCHGECMBFYFhtC8q3a1YW4wdARwlrufEIeATSJkSCrMbBEzu4LwYF3h7tsD\nNxOi46+AX4BlE32tAa4AOpvZ5mZ2mrsPd/cTCdmfRYGtmvE+RERERBZoxZxDEn+R3BV4NXH4NaCb\nmXXOcclEYBkz2z1e/xdgCcKomYJpla16uPv7ZvYUIfX0D+ANwvs9+hIyDI/EotOBnmbWxd3dzJ4F\n7jSz/oRg4BpguLt/Gl+MmPE8YU7H3XHlq47AjYSMQ52ZNaXbiyYemLaEgGA/QpAD4cH5vZk9QZiU\nfi7hOVjE3X8ys62ArvF+lwS2AR5x92lmdjNwg5kdDlQDlxEe2lGEgGuwmY0nZGB6AYsD/2vKTYiI\niIiUoyKvsrU84ZfiYxPHMq+4WDF+/pW7v2pm1wEPmVkt4XtvP3cf0ZhGFZA0bB/gdGAwIZsxnTBf\nYpvE3I5hhJW1PiDMMzmIMJn8RUJW4THCcrjzcPdaM9sVuBr4DzCNsDLVSfX0p6GndJ+4AfxMmOdx\nDmG5XoCBwG2xrxMIc1amARskrr8WeDtef3+8HuCEWM9DhHksw4Gd4nLIH5pZP+CMeD+jCRP7s7NC\nIiIiIpJH2itmmVl7wqsfclkCwN2TUwYyr49YJEddSxCG+p8BPA3sAVxtZv9x9y8K7ZMCkga4+yzC\nJO9B9ZR5G+iS2J9IWJkrV9nhJOaSuPvXwC55yg4FhmYdyzVvJXOuH+FN8nnFAGHLes6PBHbMc24m\nYQxhznGE7n4P877BXkREREQaoQWW8N2MMN83V0OnQHj3XCIoyQQiM3KUPxnA3c+N+x+Y2eaEX4Af\nXWiHFJCIiIiIiJSI5l7CN1v85XjOeeRxDsmFhCkKY+Lh5QjBy7gcl2xEeCVF0vvMfZ1EQTSpXURE\nRESkRBRzUru7jyMM908uSrQ14T1z43NcMhZYK+vYGoT5xQVThkREREREpETUNutCq01yPXChmX1H\nmMx+PnPnImNmyxJeCD4duAV41cwGEt5HshvwJ2D9xjSoDImIiIiISIkoZoYkupiwqNEj8c+h7n5l\n4vw7hIWOcPe3CBPZ+xKGbu0P7OjunzemQWVIREREREQECKvAAifGLdf5VbL2nwKemp82FZCIiIiI\niJSI2rRntZegihZYWkykEHoQRUREpCVVFLsDuex/1bAmfSe6e8CBJXk/hVCGRERERESkRJRhgkQB\niZSO8Rdcnmr9nU89DoCpTz2XajtL7vwnAGpqalJtp7Kykq8mTE61DYBVO3Vk1ieNmpvWaO17rgGQ\n+v2s2qkjAHO+/S7VdhZaMbwAd/aYb1NtZ+GVVgRa5n4efOt/qbYBsPdm6zLptrtSbWPpgw8AYPx5\nl6XaTufTjgdg9EF/T7WdbnfeAMCkYfen2s7SB/4VaJn/16qr020DoKoq/XaqqioB1E6Jt1OKynH0\nkgISEREREZESUVeGo9gVkIiIiIiIlIhaZUhERERERKRYNGRLRERERESKRpPapVmYWTvgn8CBwArA\n98DDwGB3nxbLVAHbuvtDeeroE8t3N7NewEvu3qYZ+3g0cDjQA5gIvACc5e5fN6KO7YCx7u7N1S8R\nERGRclaOGZJm+4Ir87gI2B04hPCFvx/wR+CeRJkLgZ3qqeM+YJP4uY5mfE+Hmd1OCJguBQzYA1gS\neNvMejaiqn8BnZurXyIiIiLlrq6urklba6YMSTr6AP3c/d9xf4yZHQG8amad3X084WU8eZ8ed/8J\n+Km5O2ZmfwH+Cmzo7pm1XMcAe5rZo8BtwGbN3a6IiIiINEyT2qW51AK9zexJd888VW8CPYGJZjaY\nELRgZr3isKxa4GzgKOB14FHgTHdfJbtyM7uMkNXYyt2/NbOtgcti/SMIQ68eydO3Q4EnEsFI0tnA\nu2a2rrv/L/apl7u/Etvtk+mTmY2K17xsZmcB5wHXA38B2gMvAUe6+9gCf2YiIiIiZa8cAxIN2UrH\nlcAA4Gszu87M9gAWc/fP3f1n4BLgAeB+YOPEdTsDvwNOjfu/eSLN7Hhgf+APMRjpDDxJyGysTRgK\ndruZbZmnbxsD7+Q64e7vATOATeu5t0yfMsPJ9oj30x/YGvg9sBGwBCFIEhEREZECleOQLQUkKXD3\ncwhBwxjgMOAhYKyZ9Y3npwMzgZnuPilx6Q3u/mWe7AVmtg9wBrCDu4+Ih48GXnD36919pLvfA9wM\nHJene0sD9b0OewqwTAH3+EP8ONndZwDd4j2NcfcvgL7ABQ3VIyIiIiJz1dU1bWvNNGQrJe5+L3Cv\nmXUE/kTIINxiZh+6+/t5LhtdT5UVwO2EeSXfJY6vCexqZjWJY+2AfCtfTQKWy3XCzNoCnYAfcp1v\nwE3AvsD3ZvZvwpCzO5pQj4iIiEjZ0pAtmW9mto6ZXZLZd/fJ7n4f0IsQSPSu5/JZ9ZyrAw4gMGsq\nbQAAIABJREFUBBqXJo63A4YB6wLrxa0nsEueet4iDKnKZQPCM5FzSBf1BLDu/imwMrAfMJYwp+S5\nfOVFRERE5Lc0ZEuaQzvgeDNbL3nQ3ecQ5mdMiIca/eS4+6PAQOBvZrZV5jCwuruPikO2RhKWHN4/\nTzU3AbuZ2fo5zp0JvOvu/4v7s4HKxPlV8/XNzA4EdnX3h929H7AjsFV834qIiIiIFKC2rq5JW2um\nIVvNzN3fN7OngMfN7B/AG4QhUn2BRYDM6lfTgZ5m1qUxK1G5+9tmNgy4LgYV1wH9zexsYChhQvq5\nsb1c1z9tZjcB/2dmpwLDgSrghHhtr0Txd2LdDqwV60xmcaYDa5vZB0AH4HQz+wEYRcjmfEvThn+J\niIiISJlQhiQd+xCGUQ0GPgOeImQatokT2onn1wA+iPuNCW1PBVYCBrj7GMLwrB2Bj4AhwHFxmFhO\n7n4U4cWIA4GPgccJE9I3iUOvMvoTJrh/BJwIDMqq6irgYsIb5a8hzBm5E/iEMHRs18SyxyIiIiLS\ngHIcsqUMSQrcfRbhy3v2F/hkmbeBLon9tlnnhxIyHrj7cKBt4tx4YKnE/kvMu3xwIX28jbBUcH1l\nPmDu8r4ZtybOnw6cntj/B/CPxvRDREREROZq5bFFkyggEREREREpEa19PkhTKCARERERESkRLw8+\nuqLYfWhpmkMiIiIiIiJFo4BERERERESKRgGJiIiIiIgUjQISEREREREpGgUkIiIiIiJSNBWt/UUq\nssDQgygiIiItqexWsypVypCIiIiIiEjR6D0kUjKmPvVcqvUvufOfAJjyxP+l2k6HXXcCYPzU6am2\n03nJxZn1+ReptgHQfo0ezBn7faptLNRlOQDGTJqSajsrLd0BgE/HVqfazlpdqgD4cvykVNtZrfPS\nAHw+Lt37WWP5KmpqalJtA6CyspIJF12VahudTh4AwMQbb0+1nWWO6AfArM881Xbar2kAjL/g8lTb\n6XzqcQBMG/56qu0sse2Wqf/fCeH/z+rqdJ/pqqpKALVT4u1IaVCGREREREREikYBiYiIiIiIFI0C\nEhERERERKRoFJCIiIiIiUjQL7KR2M6vNOlQNPA4c6+4zCqxjPWAxd38z7m8HjHV3N7M+wGB3796c\n/c5qf2VgJDDM3fuk1Y6IiIiISLEs6BmS3YHlgBWAXYBNgYsbcf2jwOqJ/X8BnePn+4BNmqGP9dkX\n+BLY3cwWS7ktEREREZEWt6AHJJPdfYK7j3P3t4Hzgb824vq8L8xx95/cfeJ897B+fwOuBmYDe6Xc\nloiIiIhIi1tgh2zlMc9QLTPrAlwF9AYWAz4BjnH3N83sZaAbcLuZ9QK2i5e9bGZnAaOBM919FTPb\nFrgDuBD4J7AU8AhwiLvPiW3tD5xFyNg8Tgh2Pnf3Ibk6amZrAWsDLwObAX2AO+M5Az4DVnH30fHY\n6sDnwEru/p2ZHQGcAlQB7wAD3P3jWHYUcD9wEDDO3Tcys12BM4E1gVnAM8ChmeFtDfXfzAYBf48/\nx1fiz/GbBv4+RERERKTMLegZkl+Z2bJAf2BY4vBdhC/WmwHrA98A18dzewDfAgPjtkni+CXxc12i\nri7AnsAfCUPF9iR84cfMtgJuBS4ANgSm03Cm5m/A6BhEPA5sa2ZdAdzdgQ9iXzL2BF6PwcguwBnA\n0fG+XgVeMrMOifL7Ab8H+ppZd+BB4BrAgL2B7YHDC+m/mfWP/d03/izHA8+ZWdsG7lFEREREytyC\nHpA8Y2Y1ZjYNmED4cn514vyjQH93H+HunxOCkZ4A7j4Z+AWY6u417v5DvGZynknx7WJdn7r7C8Cz\nzA1ijgTuc/db3P2LuP9tA33/K/BY/Px/hGFbByXO308IQjL2IsxrATgJOM/dn3H3r9x9MDAGOCBR\n/q7Y148Iz8Ex7n6bu49x9xcJ82V6Ftj/k4CT3P3VxPllgB0auEcRERERKXML+pCtQ4C3CVmQZYFj\ngDfMbO0YYNwA7GtmWwBrABsxf0Hal4nPU4GF4ud1Y1sAuPsvZvZuvkrMbBNgNUJmBHefbmYvEAKS\nc2Ox+4BzzGw5oH1s48F4bk3gIjO7IFHtIsw7Qf/rRH++NLOfzOw0wjCxnsBazM0m5e2/mS0OrAjc\nb2bJjFF7oAfwdL77FBERERFZ0AOSse4+Mn7+yszeAyYC+5jZ9cCLwJKEbMMThC/tDze1MXf/OetQ\nZlL8z/x2gnzeCfOE4U8AL5hZplwFUGFmv3P3N919tJm9QxgetijwirtXx7LtCMPMXsqqd2ri86zM\nh7i88auEAGg4cClwXKJsff3PPEN7AV9klZlUzz2KiIiIiCzwAUm2OkIGpC0hA7A1sKy7TwIws6Ny\nlG8OnxCyL8R22hCGj32QXTAGIHsDQ5l3ieJ2hMnifYA347H7gZ2BSuKE98iBrolgDDO7jTDR/qkc\n/TsAGO7uBybKrw582lD/3X2KmU0Alnf3Z+P5hQgZnIuAt3L+REREREREWPADkqXNLPPekCWBEwkB\nyeOE+SG/APuZ2ROEd5ScCWBmC7v7bMLk7TXMrGOcUzIdWNvMfhNINOAawupcrwKvESbXdyN3wLMN\n4b0pV7n7p8kTZnZX7O+A2L8HgHPiPe2WKHoZcLOZjQDeAI4gBDnn5OnfRGDdOFRsSiy/CfBVgf2/\nDDjPzKoJwdAgYAvCql8iIiIiInktyJPa6wjDr8bG7T3CnIYd4sTt7wiTr08GPiYskdufMDxpg1jH\ndYR5JzfH/asIWYvBjemIu/+HsOLV4NiPJQhZjtk5iu9LyDy8n+Pc9UAH4C+x3nGEJX1fjgFTpr0H\ngNOBIcBHhCWLd05kTLIDoatif14gZGG6Epb43aDA/l9C+BndGM93Bf7o7lPq/8mIiIiISLlbYDMk\n7t7gkrPufgtwS9bh+xPnr2fuMsC4++mEL/oZQ+Px4YRhYMm6+2U+x8zDa+7eLXHsY2Bcjj4dWU9/\nP8nRTu88Za8hZDZyneuetT+DEAhlO6uQ/rt7LWGZ4TPy9V1EREREJJcFNiApMb8D+pvZQcD3hEnr\nKxKWBm4NWnv/RURERKREKSBpGdcCKxOGkHUgTGbfwd0nFLNTjdDa+y8iIiIiJUoBSQtw91+A4+PW\n6rT2/ouIiIhI6VqQJ7WLiIiIiEiJU0AiIiIiIiJFo4BERERERESKRgGJiIiIiIgUTUVdXa6XhYu0\nOD2IIiIi0pIqit0BCbTKlpSMyfc+nGr9Hf+2JwATb7oj1XaWObwvAK/516m2s5WtzMjqyam2AdC9\nqiM1NTWptlFZWQnAF+MnptpOj87LADChZkaq7XSqXAyASTNmpdrO0ou1B6B62sxU26laYlFe+uTL\nVNsA6N1zNSZccnWqbXQ6sT8A3/z9uFTb6XrD5QCM6XdUqu2sdPt1AEy88fZU21nmiPCu35b4v6D6\n6htTbQOgqv8RjD/3klTb6Hz6iQBUV6f7M6uqqlQ789GOlAYN2RIRERERkaJRQCIiIiIiIkWjgERE\nRERERIpGAYmIiIiIiBSNAhIRERERESmaFltly8yWA4YAOwNLAV8BdwBXuPsv81FvLdDL3V9pjn7O\nRz/+DWyTOPQL8A0wDBgyP/eYBjOrArZ194eK3RcRERERKV8tEpCY2YrAG8BnwF7Ad8CmwEVAb+DP\nLdGPlNUBl8QNoC2wIXAvMAc4p0j9yufC+KcCEhEREREpmpbKkFxDyIjs4O6ZF+CNNrP/AJ+Y2ZHu\nfn0L9SVN09x9QmL/aTO7G9iD0gtIKtDLCEVERESkyFIPSMysE7ALsFMiGAHA3b8xszuAw4DrzawP\n0BcYDhwd+3ebu5/QQDO9zOwWYAXgKeBwd58S298VOBNYE5gFPAMc6u4zzKwDcBshS1MHPA0c5e41\n8dojgFOAKuAdYIC7f9zIH8HPwOzEzyNvnWY2CrgfOAgY5+4bmdkmwGWEbMs3wGB3vz+W3zqe6wmM\nAM5y90fiuduBSfFnsgswEfiHu99tZoOBPrFcL3fvbmZrxbq2ABaKfTvM3T2W24gQWK4HvAf8C9jG\n3beL53cnBF0rAx8BJxd7GJ2IiIiIlL6WmNS+Yfzz3TznXwPWM7OF4v4WQI/45zHAQDPbvoE2jopl\ntwIMuBzAzLoDDxK+SBuwN/B74PB43RCgE/A7oBfhy/bp8dpdgDMIgdH6wKvASzGIaZCZtTGzbYH9\ngccaUed+sY994zyP5wkBwPrA+cAdZraOmXUGniQEVGsThmDdbmZbJuo6mhBY9AQeBm40s0rCsLIH\nCMHPxmZWATxByGKtG38ebWOdmNmShEDunfgzuhf4BzHDYmbrEeYDDQHWAe4C/i/+/EVERERE8mqJ\nIVtLxz8n5zk/OatcG8Jv5qcDI8zseGATwm/k8znT3Z8HMLMBwAtm1j/WdYy73xbLjTGzFwlf0AG6\nAdOA0e4+08z2IgxlAjgJOM/dn4n7g83sz8ABwLV5+nG6mZ0UP7cnzB25G7i0EXXe5e6fxnvpD0x0\n94Hx3Agz6wgsSgg2XkgMdRtpZhsCxwKvx2Mfuvulsa4zgIFAT3f/j5nNBOrcfZKZLQZcD1zn7jNj\n+aGxvwD7AjXAwJjlGhEDn+Xi+ROAmzKZG+AaM+sFHJmoQ0RERETkN1oiIJkU/1wOGJvjfJescuNj\nMJIxlTCECDOrIfxWvgJ4xd0zk+HfSZR/L5Zfzd0/NLOfzOw0QhahJ7AWYeUrgCsJ2YvqGKg8RAgg\nIAzxusjMLkjUvQghe5PP9cBV8fNs4Ht3/zlxPl+dqyf2v058NuD9ZAPufgVADHx2jT+TjHaAJ/ZH\nJK6rMTOIP8usOmeY2Q1AHzPbGFiDkNn6PhZZB3gva8jdm8Duifva28z+nji/EPBsdlsiIiIiIkkt\nEZC8C9QCG5E7INkE+J+7z4lfmGfnKJPJWqyXODYz8Tm5pG5mGNrsOJToVeBxwryUS4HjMgXd/WUz\n6wrsRljp60bgj4Q5HO0IGYWXsvoyNeddBpPcfWQ95wupc1bi85wG6hoGnMvcn0/2NfX9LH9lZosT\n/p4mEIZu3UMIMjJzd37OcV1yvx1heNedWWVmIiIiIiJSj9QDEnf/wcweBQaZ2VPJ37LHYOBg5n7x\nbaiufF/21wE+iJ83A34CRgFnA8Pd/cBEm6sDmSFRxxKCoWHAMDP7K2FOxkGETEPXZJtmdhvwCGHi\nfFM0ts4RwE7JA2Z2HyEj5MAW7j4qce4EQmYimYHJJ5nt6EXIYK2V+fsxsx2YG3R8QpgYn7Rx1n2t\nknVfFwGfE36eIiIiIiI5tdSyvwMJmYpnzOxsYAzhC+1FwEvNsOTvuWb2HTCDMAzrBnefZWYTgXXj\nSlVTgCMIGZmv4nUrAoebWT/CkLG9CEO+IKw4dbOZjSC8Q+UIwqT4c+ejn/nqzLck8N3AEDO7ELiZ\nMGl/19iHKcCA+PMcSnivy7mEVcoKMR3oaWZdCCtwLQHsYWbvAn8gzFGZEsveC5xnZpcD1xECmL8S\nFiSAsIjAK/Hap2MfjyWsXiYiIiIikldLrLKFu48DNif8Jv1uwm/OhxC+3O7awOUNvSujjvBF/1bC\nilSvAafGc1cR5jq8ALwCdAXOAjaI5wfF8o8T5mosRphgjrs/QFhxawhhGdvtgJ3dPRPMNLaf9dWZ\nySxkL4s8hTCUbNtY/iTgb+7+kbuPIbz1fsd4bghwnLvfV08XkvUPI8wV+cDd/0PIJl0LfEjIEB0F\ndDKz5eOcnl0Ib6L/H3AgYSWt2bGfb8VjRxGyKYcC+7r7a4iIiIiI1KOlMiS4+w+ETMnAesoMJfy2\nP3ms3t+yu3vb+PGKHOdmEFaIynZWPD+TsATw4TnK4O7XEJYMblBD/SykTnf/zTK58cv+5nnKv8S8\nQ6eS5/rlONY28flt5i4ogLsPIQQ1SUMBzGxloJ27b5Q5YWbXAOMS1z9AWEpYRERERKRgLRaQSKvW\nAXjRzA4gzF/ZmJBJyhXsiYiIiIgUrEWGbEnr5u4fEuaUnE8YbnceYXiYlvUVERERkfmiDIkUJL5c\nUitmiYiIiEizUoZERERERESKRgGJiIiIiIgUjQISEREREREpGgUkIiIiIiJSNBV1dQ2+z0+kJehB\nFBERkf9n77zD5CqrP/7ZEDqhivQOOXREilKkq4AgGHoPoRnp9UcPRQGBAIHQITTpihSRIiQ0QUGQ\nKvnSi9TQQzDU/f1x3snencxudnfeO5uB83mefXbn3jvvuTN7Z+573nPO9zSSlt4+gcAJla1gsuGj\na28odfyZtxoAwMc33FKqnZkGbAzAWx9/WqqduWaagS/ffqdUGwBTzjkHX7z231JtTDX/vAC88M4H\npdpZdI5ZAXjl/Y9KtbPgbDMD8MaHY0u1M88s/QB47YOPS7Uz/6wz8eK7H5ZqA2CR78/C28ecVKqN\nOY85FIAxZ5xbqp3Z9xsMwMc3/7VUOzP9ckMA3jv7wlLtfG/P3QAY99DDpdqZfpWVGf+sSrUBMM0S\nxn9/c2CpNuY9ZygAbx56TKl25j7Jxx8zptzvm9ln7/ettBNMHkTKVhAEQRAEQRAEvUY4JEEQBEEQ\nBEEQ9BrhkARBEARBEARB0GuEQxIEQRAEQRAEQa8RDkkQBEEQBEEQBL1GU6lsmVlf4EhgB2Ae4G3g\nT8AQSZ+mY15Ojy8v+VyGAGtKWqdEG2sBI4HjJQ0py04QBEEQBEEQ9BbNFiE5GfgVsAvQH9gZ+Blw\nVS+cyynAgJJtbA28AGxfsp0gCIIgCIIg6BWazSHZCThK0j2SXpM0CtgD+IWZzdHIE5H0maTSmhmk\naNDmwG+B+c1sjbJsBUEQBEEQBEFv0VQpW8A3wDpmdoukSmfvh4ClgPeqDzazUcAoScelxwsALwML\nSnrNzGYFLgJ+CryDRz3OldQnHb8CMBxYDngMuBtYQ9LaZnYMnrK1tpntBAwE7gX2xN/XEZIOLJzL\n/sCBwAzAZcAywKWdpJb9HJgRuAnYHXfG7ktj/Ry4AZhN0vi07WfA9cD3JX1uZkcBvwamS8/bS9Lr\n6dhvgOOB3wB/l7Spme2azm9h4BPgWmDvyvvc2fmb2VTpvds2nfvtwD6Syu+kFgRBEARBEDQ1zRYh\nGQbsA7xiZueY2QBgOkmjJX3dxTFaC39fC8wGrALsBQyp7DezGYHbgEdwh+Rq4LDC81urxloVTyNb\nNY21r5mtm8baLo29T7K1IDCpiMdWuLPwMe6UbG5m06Z9dwGfAhsUjh8A3JSckb2BbfCUrx/hztad\nZjZF4fiN0rkcmqIvw4BDgcXwqNMuwCZdPP8TgRWA9YG1cEfq+km8viAIgiAIgiBoLodE0m+B7YDX\ngN2APwJvmtnA7o5lZv2BdYEdJT0t6XbgmMIhWwNjgX0lPS/p7GSvI/oAu6VjrwSeAFZK+34DnC7p\nBknP4tGO8Z2c2zS4M/DntOkGPDIxACA5XzcAm6Xj+wCbAtek4w8GDpZ0v6TngMHArLjDUOE8SS9I\nGo07N4Mk3ZRS4W4A/o1Hnjo9/+Qk7QnsIelRSc+k/WuZ2VIEQRAEQRAEQSc0lUMCIOlqST8Bvo+n\nCD0NXGRmy3dzqGWA9yW9Wtj2UNX+xwqpYdX7q3lH0rjC40+AKdPfywL/KryGjwB1MtbGuANyUzr+\nRfx17lQ45hq8dqYvHq2YEo+CTA/MC1xrZmPNbCzwEe6QLFZ4/oTXLekx4EkzO8bMrjez0cDKQCWi\n0tn5LwxMBTxUsPd62te/k9cYBEEQBEEQBM1TQ2JmywA7SToIINUnXGNmf8KVqNbBV/WLtFY9Lr7e\nr4CWqv0t3dhfzRc1tlWO7+5YW6ffL5hZ8fglzWweSW/gdSGf4vUvGwB/lvRVckjAC+Kfqxr3g8Lf\nEyI0qSblz3htyF/xSNG5hWM7O//Ke7oaMK7qmHc6folBEARBEARB0FwRkr7AAWa2XHGjpC+Bz4B3\nazznC6Bf4fEihb//A8ySCt0rrFj4+xngB1XjrUjPeAavsQAm1KcsWutAM+uHOxgn4rUrlZ+1cSdg\nB4AUubkerwXZhJSulWpO3gXmkvSSpJfwiMUpgFGbXYGLJQ2WdAke/ViENqejs/N/Efga+F7B3ljg\nDKChymdBEARBEARB89E0ERJJ/zazvwA3mdlhwIPAnLi61dR4TUU1jwA7mtm1+OT62MJ4z5vZHcAl\nZrZvGuvYwnOvBk4ws9OBc/Bi7a2AB3pw+mcB55nZk8CzuMLV9EwcwQGvE5kCOFNSOyfLzG7H07ZO\nSpuuBf6GO2QjC4eels59DO5cHIUX24/u4PzeB1Y1s6XTOR2Gvx9TT+r8JX1qZhem/bsDY5L9+XBF\nsyAIgiAIgiDokGaKkABsCVyBKz49C/wFj4CsUajfKE7yT8Pleu8FrgSOqxpvEJ729A/gbGAEKfUq\njbcxXp/xJB6Z+AO1U7NqMeE8JF2LRyjOS7Zexms4ao21NXBrtTOSOBfob2Yrp3H/iTsAf5T0TeG4\nU4ELgfPx1z8f8PMUPWl3bolj8KjKQ8AduINzLrB8F8//QNwx+iPuKH4ObFhVfxMEQRAEQRAEE9E0\nERKA1HPjqPTT0TELF/7+EO/sXmQKmKAOtRLwq4pksJltDryV/l4Q6CupmKo0vLJfUjHachlef1E8\nj3UKz1sDuFzSCenxFLhK2Fs1zn+D6m2FfbfSVmhe2bZIjeO+AY5OP7XGqR7jbdpLCLdjUucv6X+4\n1PFeHY0RBEEQBEEQBLVoKockM+PxiMi5ZjYCmAuPvFyX9s8E3GVm2+OpXysC29NWcN4dNsVTon6N\nR2T2BT7Gow3NQLOffxAEQRAEQTCZ0mwpW9lI6USb4CpVTwN/whWmjkr7n8D7a5yI116cAOyf+pV0\nl6PSGHfiSmD9gfUldTX9q7dp9vMPgiAIgiAIJlO+yxESJD2Idx7vaP8IPIpSr51xePF9U9Ls5x8E\nQRAEQRBMvnxnIyRBEARBEARBEPQ+4ZAEQRAEQRAEQdBrhEMSBEEQBEEQBEGv0dLaGq0igsmCuBCD\nIAiCIGgkLb19AoETEZIgCIIgCIIgCHqN77TKVjB58cFlV5c6/qw7bQPA+xdcWqqd2XYfCMCjr7xR\nqp0VFpyHdz4ZV6oNgDlmnJ6v3hlTqo2+c8wOwOi3yrWz+Fxu582PPi3VztwzzwDAu2M/K9XO9/tN\nBzTm9fz9uVdLtQGwWv8FeHvIiaXamPPYwwD4754HlWpn3rNPBeCNAw4v1c48p50AwJjTzy7Vzuz7\n7wnAl2++XaqdKeeekw+vvG7SB9bJLNtt2bD/zQtrb1yqnUVH3QLAK1vuXKqdBa+7BIAxY8aWamf2\n2fs11E4weRARkiAIgiAIgiAIeo1wSIIgCIIgCIIg6DXCIQmCIAiCIAiCoNcIhyQIgiAIgiAIgl4j\nHJIgCIIgCIIgCHqNbqtsmdmcwHHARsDMwIvApcAZkr7u6YmY2TfAWpLu6+kYOTCze4A1Cpu+Bl4H\nrgCOk/S1mV0CtEoaVIL9fYA9gEWAD4C/AkdIeiftHwWMknRcbttV57ETMETSwmXaCYIgCIIgCL7b\ndCtCYmbzAg8DCwCbA0vgzslewM3Zz653aAVOBeZMP/MDewP7A4eVaTg5IwcCBwP9gQHp9+1l2u2A\na4CVesFuEARBEARB8B2iuxGS4XhEZH1Jlc7ar5rZP4BnzGywpHOznmHv8KmkdwuPbzWzK3EH4bcl\n2t0JGCrpr+nxa2a2Tfq9sqSHS7TdDkmfA583yl4QBEEQBEHw3aTLDomZfR/YGNiw4IwAIOl1M7sU\n2A04N6X7DATuBfZMdkZIOnASZtYys4uAeYC/ALtL+jjZ/yVwDB6VGQ/cBuwq6TMzmwkYAayDRzhu\nBX4jaWx67h7A/wGzA48A+0h6uquvPfEV8EX1RjMbgqearV3Y9jKe7nS5mS0LnAv8AE/BukDS8R3Y\n+AZYw8zOlfQlgKQ3zGxJ4JUatidKHSumvpnZNLgTuTkwFhgCnA8sIuk1M1sIuBBYBXgBuBzYS9JC\nZjYwvYaFzGxNPC3v98CReKreDcAulfM0s+2AY/Go0k1ACzC67NSyIAiCIAiCoLnpTsrWD9Pvf3Ww\n/wFgOTObMj1eFU83WhVP6drXzNadhI3fpGNXBww4HcDMFgauxyfXBmwBrAfsnp53HPB9fGK9FrAc\ncER67sbA0bhj9APgfmBkcmImiZn1SRPy7YAbOzistYPt4JP8x3BHahfgEDNbv4Njz8SjMP81sxFm\ntp2ZzSKnJ9GKs4AfAz8FtgIOIf3PzWwK3HF7H1gBOBF3WCqvpbXqdc0NbAb8DPhV+nvHNNbqwMXA\nSfh1Mi7ZC4IgCIIgCIJO6Y5DMmv6/WEH+z+sOq4PsJuk5yVdCTzBpGsSjpF0p6R/A/sA25nZ9Gms\nvSSNkPSapLuAu4Cl0vMWAD4FXpX0JB4RuCTtOxg4QdJtkl6UNAR4Ddi+k/M4wszGmtlYPG3pNuBP\nwNBJnH8tFsQn/a9LuhN3pB6rdaCkK4ANgH8D2+LOzJtmdnh3jab3bQdgT0mPSHoQf08rrItHogZJ\nGi3pGtzh64i+wN6S/iPpb3hdS+X/ORi4RtJFkp5Lj//b3XMOgiAIgiAIvnt0p4bkg/R7TuDNGvvn\nrjruHUnjCvs/AaYESBP9Vjyt5z5Jv0jHPFI4/rF0/KKSnjCzz9PEfGncEVkSV74CGIZHL8aY2V3A\nH4Er074lgJPN7KTC2FPj0ZuOOBePVoCnab0t6atOju+M3+GRg1+b2V+AK6rqU9oh6Q7gjuRQrIsr\nbh1vZs9IuqkbdhfH379iROuhwt/LAM9V/Y8eArbuZMwXCn9P+H8CywLnFV7D12bWUSQtCIIgCIIg\nCCbQnQjJv/AahxU62L8S8GSlpoAa9Ra4AwKeUvWD9HvXwv6ibHDl3L4ws+WAZ3Dn4l5gEHBt5UBJ\no4D58JX58XidxGVpd19g32Sr8rM40FEdB8AHkl5KP/+dhDNSK11rgqMn6RRgYdwpWQhjjQ0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6Zr0IjoxWn4df0N8Iike9Nq+BBg50w2oDGfnfOA883sYPwz09/M1sQXci7MZAPgFTy6+FLV9l+k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\n8e/3wszsr/i8lnK/iO5aYW4iIAkhFHUKP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      "text/plain": [
       "<matplotlib.figure.Figure at 0x117d495d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = create_corr_plot(non_pitchers)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlations by Position\n",
    "Let's break down non-pitchers by their position on the field and see if these correlations change at all. For brevity, we'll just use the display of the correlation statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:03:11.905759",
     "start_time": "2017-01-02T22:03:11.763084"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "                background-color:  #ec9ca2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row1_col4 {\n",
       "            \n",
       "                background-color:  #f4c4c8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row1_col5 {\n",
       "            \n",
       "                background-color:  #f4c4c8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col0 {\n",
       "            \n",
       "                background-color:  #6095a6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col1 {\n",
       "            \n",
       "                background-color:  #b2cdd6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col2 {\n",
       "            \n",
       "                background-color:  #cee0e5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col3 {\n",
       "            \n",
       "                background-color:  #f3bfc3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col4 {\n",
       "            \n",
       "                background-color:  #c3d8df;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col5 {\n",
       "            \n",
       "                background-color:  #edf5f7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col0 {\n",
       "            \n",
       "                background-color:  #c6dae1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col1 {\n",
       "            \n",
       "                background-color:  #8cb3bf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col2 {\n",
       "            \n",
       "                background-color:  #e9f2f5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col3 {\n",
       "            \n",
       "                background-color:  #b2cdd6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col4 {\n",
       "            \n",
       "                background-color:  #a6c5ce;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col5 {\n",
       "            \n",
       "                background-color:  #dbe8ed;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col0 {\n",
       "            \n",
       "                background-color:  #6e9fae;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col1 {\n",
       "            \n",
       "                background-color:  #93b8c3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col2 {\n",
       "            \n",
       "                background-color:  #a0c1cb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col3 {\n",
       "            \n",
       "                background-color:  #f7d4d7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col4 {\n",
       "            \n",
       "                background-color:  #90b6c2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col5 {\n",
       "            \n",
       "                background-color:  #cadde3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col0 {\n",
       "            \n",
       "                background-color:  #7ca9b6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col1 {\n",
       "            \n",
       "                background-color:  #6e9fae;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col2 {\n",
       "            \n",
       "                background-color:  #6d9ead;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col3 {\n",
       "            \n",
       "                background-color:  #89b2be;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col4 {\n",
       "            \n",
       "                background-color:  #90b6c2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col5 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col0 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col1 {\n",
       "            \n",
       "                background-color:  #478598;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col2 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col3 {\n",
       "            \n",
       "                background-color:  #9bbdc8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col4 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col5 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col0 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col1 {\n",
       "            \n",
       "                background-color:  #6196a7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col2 {\n",
       "            \n",
       "                background-color:  #408094;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col3 {\n",
       "            \n",
       "                background-color:  #9bbdc8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col4 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col5 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col0 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col1 {\n",
       "            \n",
       "                background-color:  #578fa1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col2 {\n",
       "            \n",
       "                background-color:  #408094;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col3 {\n",
       "            \n",
       "                background-color:  #9cbec9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col4 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col5 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col0 {\n",
       "            \n",
       "                background-color:  #78a6b4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col1 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col2 {\n",
       "            \n",
       "                background-color:  #a9c7d0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col3 {\n",
       "            \n",
       "                background-color:  #3f7f93;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col4 {\n",
       "            \n",
       "                background-color:  #6095a6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col5 {\n",
       "            \n",
       "                background-color:  #88b1bd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col0 {\n",
       "            \n",
       "                background-color:  #f7d6d8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col1 {\n",
       "            \n",
       "                background-color:  #f5cbce;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col2 {\n",
       "            \n",
       "                background-color:  #f7d6d8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col3 {\n",
       "            \n",
       "                background-color:  #f1b5b9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col4 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col5 {\n",
       "            \n",
       "                background-color:  #f4c7cb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col0 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col1 {\n",
       "            \n",
       "                background-color:  #f5cacd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col2 {\n",
       "            \n",
       "                background-color:  #f9dddf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col3 {\n",
       "            \n",
       "                background-color:  #f1b3b8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col4 {\n",
       "            \n",
       "                background-color:  #ecf4f7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col5 {\n",
       "            \n",
       "                background-color:  #f3bfc3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col0 {\n",
       "            \n",
       "                background-color:  #96bac5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col1 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col2 {\n",
       "            \n",
       "                background-color:  #a8c6cf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col3 {\n",
       "            \n",
       "                background-color:  #e4eef2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col4 {\n",
       "            \n",
       "                background-color:  #98bbc6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col5 {\n",
       "            \n",
       "                background-color:  #a1c2cc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col0 {\n",
       "            \n",
       "                background-color:  #f9e1e3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col1 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col2 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col3 {\n",
       "            \n",
       "                background-color:  #f1b5b9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col4 {\n",
       "            \n",
       "                background-color:  #fae7e8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col5 {\n",
       "            \n",
       "                background-color:  #f5cbce;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col0 {\n",
       "            \n",
       "                background-color:  #9fc0ca;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col1 {\n",
       "            \n",
       "                background-color:  #b4cfd7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col2 {\n",
       "            \n",
       "                background-color:  #aac8d1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col3 {\n",
       "            \n",
       "                background-color:  #cbdee4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col4 {\n",
       "            \n",
       "                background-color:  #5890a2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col5 {\n",
       "            \n",
       "                background-color:  #cee0e5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col0 {\n",
       "            \n",
       "                background-color:  #448396;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col1 {\n",
       "            \n",
       "                background-color:  #7fabb8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col2 {\n",
       "            \n",
       "                background-color:  #679aaa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col3 {\n",
       "            \n",
       "                background-color:  #7aa7b5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col4 {\n",
       "            \n",
       "                background-color:  #6196a7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col5 {\n",
       "            \n",
       "                background-color:  #408094;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col0 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col1 {\n",
       "            \n",
       "                background-color:  #d9e8ec;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col2 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col3 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col4 {\n",
       "            \n",
       "                background-color:  #fbeaeb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col5 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col0 {\n",
       "            \n",
       "                background-color:  #c1d7de;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col1 {\n",
       "            \n",
       "                background-color:  #fbeaeb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col2 {\n",
       "            \n",
       "                background-color:  #e6f0f3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col3 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col4 {\n",
       "            \n",
       "                background-color:  #c4d9e0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col5 {\n",
       "            \n",
       "                background-color:  #cfe1e6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col0 {\n",
       "            \n",
       "                background-color:  #dfecef;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col1 {\n",
       "            \n",
       "                background-color:  #e2eef1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col2 {\n",
       "            \n",
       "                background-color:  #e1edf0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col3 {\n",
       "            \n",
       "                background-color:  #edf5f7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col4 {\n",
       "            \n",
       "                background-color:  #bbd3db;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col5 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col0 {\n",
       "            \n",
       "                background-color:  #d8e7eb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col1 {\n",
       "            \n",
       "                background-color:  #fae7e8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col2 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col3 {\n",
       "            \n",
       "                background-color:  #f9e0e2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col4 {\n",
       "            \n",
       "                background-color:  #d1e2e7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col5 {\n",
       "            \n",
       "                background-color:  #eaf3f6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col0 {\n",
       "            \n",
       "                background-color:  #da3b46;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col1 {\n",
       "            \n",
       "                background-color:  #da3b46;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col2 {\n",
       "            \n",
       "                background-color:  #da3b46;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col3 {\n",
       "            \n",
       "                background-color:  #da3b46;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col4 {\n",
       "            \n",
       "                background-color:  #da3b46;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col5 {\n",
       "            \n",
       "                background-color:  #da3b46;\n",
       "            \n",
       "            }\n",
       "        \n",
       "        </style>\n",
       "\n",
       "        <table id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\" None>\n",
       "        \n",
       "\n",
       "        <thead>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th class=\"blank level0\" >\n",
       "                  \n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col0\" colspan=1>\n",
       "                  OF\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col1\" colspan=1>\n",
       "                  C\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col2\" colspan=1>\n",
       "                  1B\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col3\" colspan=1>\n",
       "                  2B\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col4\" colspan=1>\n",
       "                  3B\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col5\" colspan=1>\n",
       "                  SS\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </thead>\n",
       "        <tbody>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row0\" rowspan=1>\n",
       "                    Games\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row0_col0\"\n",
       "                 class=\"data row0 col0\" >\n",
       "                    0.384984\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row0_col1\"\n",
       "                 class=\"data row0 col1\" >\n",
       "                    0.399031\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row0_col2\"\n",
       "                 class=\"data row0 col2\" >\n",
       "                    0.342032\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row0_col3\"\n",
       "                 class=\"data row0 col3\" >\n",
       "                    0.569471\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row0_col4\"\n",
       "                 class=\"data row0 col4\" >\n",
       "                    0.347225\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row0_col5\"\n",
       "                 class=\"data row0 col5\" >\n",
       "                    0.466557\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row1\" rowspan=1>\n",
       "                    Awards\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row1_col0\"\n",
       "                 class=\"data row1 col0\" >\n",
       "                    0.47227\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row1_col1\"\n",
       "                 class=\"data row1 col1\" >\n",
       "                    0.631389\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row1_col2\"\n",
       "                 class=\"data row1 col2\" >\n",
       "                    0.387126\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row1_col3\"\n",
       "                 class=\"data row1 col3\" >\n",
       "                    0.715629\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row1_col4\"\n",
       "                 class=\"data row1 col4\" >\n",
       "                    0.598052\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row1_col5\"\n",
       "                 class=\"data row1 col5\" >\n",
       "                    0.597929\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row2\" rowspan=1>\n",
       "                    Assists\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col0\"\n",
       "                 class=\"data row2 col0\" >\n",
       "                    0.0570612\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col1\"\n",
       "                 class=\"data row2 col1\" >\n",
       "                    0.288862\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col2\"\n",
       "                 class=\"data row2 col2\" >\n",
       "                    0.356788\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col3\"\n",
       "                 class=\"data row2 col3\" >\n",
       "                    0.616043\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col4\"\n",
       "                 class=\"data row2 col4\" >\n",
       "                    0.323551\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row2_col5\"\n",
       "                 class=\"data row2 col5\" >\n",
       "                    0.446932\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row3\" rowspan=1>\n",
       "                    Errors\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col0\"\n",
       "                 class=\"data row3 col0\" >\n",
       "                    0.347747\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col1\"\n",
       "                 class=\"data row3 col1\" >\n",
       "                    0.180416\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col2\"\n",
       "                 class=\"data row3 col2\" >\n",
       "                    0.435633\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col3\"\n",
       "                 class=\"data row3 col3\" >\n",
       "                    0.271817\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col4\"\n",
       "                 class=\"data row3 col4\" >\n",
       "                    0.240369\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row3_col5\"\n",
       "                 class=\"data row3 col5\" >\n",
       "                    0.392731\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row4\" rowspan=1>\n",
       "                    Double Plays\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col0\"\n",
       "                 class=\"data row4 col0\" >\n",
       "                    0.100299\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col1\"\n",
       "                 class=\"data row4 col1\" >\n",
       "                    0.200555\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col2\"\n",
       "                 class=\"data row4 col2\" >\n",
       "                    0.225104\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col3\"\n",
       "                 class=\"data row4 col3\" >\n",
       "                    0.550832\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col4\"\n",
       "                 class=\"data row4 col4\" >\n",
       "                    0.178187\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row4_col5\"\n",
       "                 class=\"data row4 col5\" >\n",
       "                    0.340276\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row5\" rowspan=1>\n",
       "                    Passed Balls\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col0\"\n",
       "                 class=\"data row5 col0\" >\n",
       "                    0.139762\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col1\"\n",
       "                 class=\"data row5 col1\" >\n",
       "                    0.0949105\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col2\"\n",
       "                 class=\"data row5 col2\" >\n",
       "                    0.074868\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col3\"\n",
       "                 class=\"data row5 col3\" >\n",
       "                    0.153221\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col4\"\n",
       "                 class=\"data row5 col4\" >\n",
       "                    0.1764\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row5_col5\"\n",
       "                 class=\"data row5 col5\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row6\" rowspan=1>\n",
       "                    Wild Pitch\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col0\"\n",
       "                 class=\"data row6 col0\" >\n",
       "                    -0.037013\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col1\"\n",
       "                 class=\"data row6 col1\" >\n",
       "                    -0.013818\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col2\"\n",
       "                 class=\"data row6 col2\" >\n",
       "                    -0.0579245\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col3\"\n",
       "                 class=\"data row6 col3\" >\n",
       "                    0.20319\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col4\"\n",
       "                 class=\"data row6 col4\" >\n",
       "                    -0.0621316\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row6_col5\"\n",
       "                 class=\"data row6 col5\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row7\" rowspan=1>\n",
       "                    Opp. Stolen Bases\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col0\"\n",
       "                 class=\"data row7 col0\" >\n",
       "                    -0.0365672\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col1\"\n",
       "                 class=\"data row7 col1\" >\n",
       "                    0.056913\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col2\"\n",
       "                 class=\"data row7 col2\" >\n",
       "                    -0.0502519\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col3\"\n",
       "                 class=\"data row7 col3\" >\n",
       "                    0.204185\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col4\"\n",
       "                 class=\"data row7 col4\" >\n",
       "                    -0.0607109\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row7_col5\"\n",
       "                 class=\"data row7 col5\" >\n",
       "                    -0.0633724\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row8\" rowspan=1>\n",
       "                    Opp. Caught Stealing\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col0\"\n",
       "                 class=\"data row8 col0\" >\n",
       "                    -0.0356796\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col1\"\n",
       "                 class=\"data row8 col1\" >\n",
       "                    0.0301563\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col2\"\n",
       "                 class=\"data row8 col2\" >\n",
       "                    -0.0502519\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col3\"\n",
       "                 class=\"data row8 col3\" >\n",
       "                    0.204309\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col4\"\n",
       "                 class=\"data row8 col4\" >\n",
       "                    -0.0602396\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row8_col5\"\n",
       "                 class=\"data row8 col5\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row9\" rowspan=1>\n",
       "                    Error / Game\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col0\"\n",
       "                 class=\"data row9 col0\" >\n",
       "                    0.126912\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col1\"\n",
       "                 class=\"data row9 col1\" >\n",
       "                    -0.040726\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col2\"\n",
       "                 class=\"data row9 col2\" >\n",
       "                    0.24821\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col3\"\n",
       "                 class=\"data row9 col3\" >\n",
       "                    -0.0665827\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col4\"\n",
       "                 class=\"data row9 col4\" >\n",
       "                    0.035455\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row9_col5\"\n",
       "                 class=\"data row9 col5\" >\n",
       "                    0.151643\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row10\" rowspan=1>\n",
       "                    Runs\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col0\"\n",
       "                 class=\"data row10 col0\" >\n",
       "                    0.560562\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col1\"\n",
       "                 class=\"data row10 col1\" >\n",
       "                    0.58823\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col2\"\n",
       "                 class=\"data row10 col2\" >\n",
       "                    0.553022\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col3\"\n",
       "                 class=\"data row10 col3\" >\n",
       "                    0.64292\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col4\"\n",
       "                 class=\"data row10 col4\" >\n",
       "                    0.475953\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row10_col5\"\n",
       "                 class=\"data row10 col5\" >\n",
       "                    0.590667\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row11\" rowspan=1>\n",
       "                    Runs Batted In\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col0\"\n",
       "                 class=\"data row11 col0\" >\n",
       "                    0.474844\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col1\"\n",
       "                 class=\"data row11 col1\" >\n",
       "                    0.591491\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col2\"\n",
       "                 class=\"data row11 col2\" >\n",
       "                    0.528945\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col3\"\n",
       "                 class=\"data row11 col3\" >\n",
       "                    0.646818\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col4\"\n",
       "                 class=\"data row11 col4\" >\n",
       "                    0.441174\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row11_col5\"\n",
       "                 class=\"data row11 col5\" >\n",
       "                    0.615088\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row12\" rowspan=1>\n",
       "                    Home Runs\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col0\"\n",
       "                 class=\"data row12 col0\" >\n",
       "                    0.213302\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col1\"\n",
       "                 class=\"data row12 col1\" >\n",
       "                    0.494682\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col2\"\n",
       "                 class=\"data row12 col2\" >\n",
       "                    0.247375\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col3\"\n",
       "                 class=\"data row12 col3\" >\n",
       "                    0.412602\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col4\"\n",
       "                 class=\"data row12 col4\" >\n",
       "                    0.199242\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row12_col5\"\n",
       "                 class=\"data row12 col5\" >\n",
       "                    0.226031\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row13\" rowspan=1>\n",
       "                    Hits\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col0\"\n",
       "                 class=\"data row13 col0\" >\n",
       "                    0.528835\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col1\"\n",
       "                 class=\"data row13 col1\" >\n",
       "                    0.496819\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col2\"\n",
       "                 class=\"data row13 col2\" >\n",
       "                    0.477404\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col3\"\n",
       "                 class=\"data row13 col3\" >\n",
       "                    0.644631\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col4\"\n",
       "                 class=\"data row13 col4\" >\n",
       "                    0.498727\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row13_col5\"\n",
       "                 class=\"data row13 col5\" >\n",
       "                    0.576378\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row14\" rowspan=1>\n",
       "                    Stolen Bases\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col0\"\n",
       "                 class=\"data row14 col0\" >\n",
       "                    0.238399\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col1\"\n",
       "                 class=\"data row14 col1\" >\n",
       "                    0.293404\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col2\"\n",
       "                 class=\"data row14 col2\" >\n",
       "                    0.25567\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col3\"\n",
       "                 class=\"data row14 col3\" >\n",
       "                    0.344925\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col4\"\n",
       "                 class=\"data row14 col4\" >\n",
       "                    0.0141347\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row14_col5\"\n",
       "                 class=\"data row14 col5\" >\n",
       "                    0.354597\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row15\" rowspan=1>\n",
       "                    Strike Outs\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col0\"\n",
       "                 class=\"data row15 col0\" >\n",
       "                    -0.0188885\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col1\"\n",
       "                 class=\"data row15 col1\" >\n",
       "                    0.142733\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col2\"\n",
       "                 class=\"data row15 col2\" >\n",
       "                    0.0617001\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col3\"\n",
       "                 class=\"data row15 col3\" >\n",
       "                    0.107471\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col4\"\n",
       "                 class=\"data row15 col4\" >\n",
       "                    0.0398429\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row15_col5\"\n",
       "                 class=\"data row15 col5\" >\n",
       "                    -0.0577767\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row16\" rowspan=1>\n",
       "                    Batting Average\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col0\"\n",
       "                 class=\"data row16 col0\" >\n",
       "                    0.481965\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col1\"\n",
       "                 class=\"data row16 col1\" >\n",
       "                    0.40233\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col2\"\n",
       "                 class=\"data row16 col2\" >\n",
       "                    0.475765\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col3\"\n",
       "                 class=\"data row16 col3\" >\n",
       "                    0.447598\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col4\"\n",
       "                 class=\"data row16 col4\" >\n",
       "                    0.491384\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row16_col5\"\n",
       "                 class=\"data row16 col5\" >\n",
       "                    0.464122\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row17\" rowspan=1>\n",
       "                    On-base Percentage\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col0\"\n",
       "                 class=\"data row17 col0\" >\n",
       "                    0.333031\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col1\"\n",
       "                 class=\"data row17 col1\" >\n",
       "                    0.502441\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col2\"\n",
       "                 class=\"data row17 col2\" >\n",
       "                    0.427247\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col3\"\n",
       "                 class=\"data row17 col3\" >\n",
       "                    0.483052\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col4\"\n",
       "                 class=\"data row17 col4\" >\n",
       "                    0.324607\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row17_col5\"\n",
       "                 class=\"data row17 col5\" >\n",
       "                    0.358905\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row18\" rowspan=1>\n",
       "                    Slugging Average\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col0\"\n",
       "                 class=\"data row18 col0\" >\n",
       "                    0.417288\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col1\"\n",
       "                 class=\"data row18 col1\" >\n",
       "                    0.426341\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col2\"\n",
       "                 class=\"data row18 col2\" >\n",
       "                    0.410915\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col3\"\n",
       "                 class=\"data row18 col3\" >\n",
       "                    0.441782\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col4\"\n",
       "                 class=\"data row18 col4\" >\n",
       "                    0.302273\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row18_col5\"\n",
       "                 class=\"data row18 col5\" >\n",
       "                    0.467495\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row19\" rowspan=1>\n",
       "                    On-base Plus Slugging\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col0\"\n",
       "                 class=\"data row19 col0\" >\n",
       "                    0.398995\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col1\"\n",
       "                 class=\"data row19 col1\" >\n",
       "                    0.510052\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col2\"\n",
       "                 class=\"data row19 col2\" >\n",
       "                    0.463361\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col3\"\n",
       "                 class=\"data row19 col3\" >\n",
       "                    0.519868\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col4\"\n",
       "                 class=\"data row19 col4\" >\n",
       "                    0.364685\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row19_col5\"\n",
       "                 class=\"data row19 col5\" >\n",
       "                    0.437156\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row20\" rowspan=1>\n",
       "                    Inducted\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col0\"\n",
       "                 class=\"data row20 col0\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col1\"\n",
       "                 class=\"data row20 col1\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col2\"\n",
       "                 class=\"data row20 col2\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col3\"\n",
       "                 class=\"data row20 col3\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col4\"\n",
       "                 class=\"data row20 col4\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_4eb8524a_d17a_11e6_814a_6c4008a47728row20_col5\"\n",
       "                 class=\"data row20 col5\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </tbody>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "<pandas.formats.style.Styler at 0x1169f7c90>"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positions = ['OF', 'C', '1B', '2B', '3B', 'SS']\n",
    "\n",
    "correlations = []\n",
    "\n",
    "for pos in positions:\n",
    "    correlations.append(create_corr_df(non_pitchers.loc[non_pitchers.Position == pos])['Inducted'])\n",
    "    \n",
    "position_corr = pd.concat(correlations, axis=1)\n",
    "position_corr.columns = positions\n",
    "\n",
    "cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "\n",
    "position_corr.style.background_gradient(cmap=cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the colors in the chart above, we can see that the correlations change by position:\n",
    "\n",
    "* For outfielders, the top three most correlated stats are Runs, Hits, and Batting Average.\n",
    "* For catchers, the top three are Awards, Runs Batted In, and Runs.\n",
    "* For first basemen, it's Runs, Runs Batted In, and Batting Average.\n",
    "* For second basemen, it's Awards, Assists, and Runs Batted In.\n",
    "* For third basemen, it's Awards, Hits, and Batting Average.\n",
    "* For shortstops, it's Runs Batted In, Awards, and Runs.\n",
    "\n",
    "It's interesting to see that a fielding statistic like Assists seems to matter more for 2nd basemen than other positions. \n",
    "\n",
    "There are some missing values listed as 'nan' in the table. The cells that have 'nan' are for the catcher statistics of Passed Balls, Wild Pitch, and Opponent Caught Stealing. \n",
    "\n",
    "Let's look at shortstops who appeared as catchers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-01T14:22:22.699357",
     "start_time": "2017-01-01T14:22:22.680525"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerID</th>\n",
       "      <th>nameFirst</th>\n",
       "      <th>nameLast</th>\n",
       "      <th>G_c</th>\n",
       "      <th>PB</th>\n",
       "      <th>WP</th>\n",
       "      <th>Opponent CS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>boudrlo01</td>\n",
       "      <td>Lou</td>\n",
       "      <td>Boudreau</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>campabe01</td>\n",
       "      <td>Bert</td>\n",
       "      <td>Campaneris</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>paganjo01</td>\n",
       "      <td>Jose</td>\n",
       "      <td>Pagan</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      playerID nameFirst    nameLast  G_c   PB   WP  Opponent CS\n",
       "115  boudrlo01       Lou    Boudreau    3  0.0  0.0          0.0\n",
       "344  campabe01      Bert  Campaneris    1  0.0  0.0          0.0\n",
       "860  paganjo01      Jose       Pagan    1  0.0  0.0          0.0"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_pitchers.loc[(non_pitchers.Position == 'SS') & (non_pitchers.G_c > 0), ['playerID', 'nameFirst', 'nameLast', 'G_c', 'PB', 'WP', 'Opponent CS']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that there are only three players who meet this criteria. We also see they played a combined total of five games and have no statistics for Passed Balls, Wild Pitch, or Caught Stealing."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hypothesis Testing\n",
    "Let's test whether or not the number of runs scored for each position really varies by position."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:04:50.645003",
     "start_time": "2017-01-02T22:04:50.638373"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "970.50841750841755"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_pitchers.loc[non_pitchers.Position == 'OF', 'R'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:11:37.010931",
     "start_time": "2017-01-02T22:11:36.987313"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Positions</th>\n",
       "      <th>Runs</th>\n",
       "      <th>Std Dev</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>OF</td>\n",
       "      <td>970.508418</td>\n",
       "      <td>428.409844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C</td>\n",
       "      <td>504.405941</td>\n",
       "      <td>278.858609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1B</td>\n",
       "      <td>968.080000</td>\n",
       "      <td>347.723903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2B</td>\n",
       "      <td>879.420455</td>\n",
       "      <td>379.892656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3B</td>\n",
       "      <td>836.081395</td>\n",
       "      <td>318.361955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SS</td>\n",
       "      <td>860.250000</td>\n",
       "      <td>361.524346</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Positions        Runs     Std Dev\n",
       "0        OF  970.508418  428.409844\n",
       "1         C  504.405941  278.858609\n",
       "2        1B  968.080000  347.723903\n",
       "3        2B  879.420455  379.892656\n",
       "4        3B  836.081395  318.361955\n",
       "5        SS  860.250000  361.524346"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_runs = [non_pitchers.loc[non_pitchers.Position == pos, 'R'].mean() for pos in positions]\n",
    "\n",
    "std_runs = [non_pitchers.loc[non_pitchers.Position == pos, 'R'].std() for pos in positions]\n",
    "\n",
    "\n",
    "position_stats = pd.DataFrame({'Runs': mean_runs, 'Std Dev': std_runs, 'Positions': positions})\n",
    "position_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-02T22:12:23.891457",
     "start_time": "2017-01-02T22:12:23.879701"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "F_onewayResult(statistic=24.850895932926008, pvalue=3.2567049301243443e-23)"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import f_oneway\n",
    "\n",
    "f_oneway(non_pitchers.loc[non_pitchers.Position == 'OF', 'R'],\n",
    "         non_pitchers.loc[non_pitchers.Position == 'C', 'R'],\n",
    "         non_pitchers.loc[non_pitchers.Position == '1B', 'R'],\n",
    "         non_pitchers.loc[non_pitchers.Position == '2B', 'R'],\n",
    "         non_pitchers.loc[non_pitchers.Position == '3B', 'R'],\n",
    "         non_pitchers.loc[non_pitchers.Position == 'SS', 'R'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Steroids Era Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, I wanted to investigate how the steroids era might impact Hall of Fame voting. \n",
    "\n",
    "Per [ESPN](http://www.espn.com/mlb/topics/_/page/the-steroids-era), Major League Baseball experienced an increase in offensive output that resulted in unprecedented home run totals for power hitters. Just three players reached 50-home run mark in any season between 1961 and 1994, but many sluggers would start to surpass that number in the mid-90s.\n",
    "\n",
    "Because the home run explosion occurred after 1994, I decided to use 1994 as the dividing line. I considered a player as belonging to the steroids era if their career had at least five seasons after 1994. I used the year of their final game to approximate this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-01T14:22:25.538542",
     "start_time": "2017-01-01T14:22:25.519159"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "128"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_pitchers = pd.merge(non_pitchers, master_df[['playerID', 'finalGame']], on='playerID')\n",
    "non_pitchers['Final Year'] = pd.DatetimeIndex(non_pitchers['finalGame']).year\n",
    "sum((non_pitchers['Final Year'] - 1994) >= 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-01T14:22:26.897568",
     "start_time": "2017-01-01T14:22:26.888808"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "non_steroids_era = non_pitchers.loc[non_pitchers['Final Year'] - 1994 < 5]\n",
    "steroids_era = non_pitchers.loc[non_pitchers['Final Year'] - 1994 >= 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-01-01T14:22:28.990892",
     "start_time": "2017-01-01T14:22:28.952111"
    },
    "collapsed": false
   },
   "outputs": [
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       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row10_col0 {\n",
       "            \n",
       "                background-color:  #f5c9cc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row10_col1 {\n",
       "            \n",
       "                background-color:  #ddeaee;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row11_col0 {\n",
       "            \n",
       "                background-color:  #f6d2d4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row11_col1 {\n",
       "            \n",
       "                background-color:  #8fb5c1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row12_col0 {\n",
       "            \n",
       "                background-color:  #c1d7de;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row12_col1 {\n",
       "            \n",
       "                background-color:  #689bab;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row13_col0 {\n",
       "            \n",
       "                background-color:  #f7d4d7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row13_col1 {\n",
       "            \n",
       "                background-color:  #e6f0f3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row14_col0 {\n",
       "            \n",
       "                background-color:  #b0cbd4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row14_col1 {\n",
       "            \n",
       "                background-color:  #96bac5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row15_col0 {\n",
       "            \n",
       "                background-color:  #74a3b1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row15_col1 {\n",
       "            \n",
       "                background-color:  #4d899b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row16_col0 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row16_col1 {\n",
       "            \n",
       "                background-color:  #a6c5ce;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row17_col0 {\n",
       "            \n",
       "                background-color:  #e5eff3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row17_col1 {\n",
       "            \n",
       "                background-color:  #4d899b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row18_col0 {\n",
       "            \n",
       "                background-color:  #e5eff3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row18_col1 {\n",
       "            \n",
       "                background-color:  #9fc0ca;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row19_col0 {\n",
       "            \n",
       "                background-color:  #f2f2f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row19_col1 {\n",
       "            \n",
       "                background-color:  #70a0af;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row20_col0 {\n",
       "            \n",
       "                background-color:  #da3b46;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_c7e20f2b_d070_11e6_a9db_6c4008a47728row20_col1 {\n",
       "            \n",
       "                background-color:  #da3b46;\n",
       "            \n",
       "            }\n",
       "        \n",
       "        </style>\n",
       "\n",
       "        <table id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\" None>\n",
       "        \n",
       "\n",
       "        <thead>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th class=\"blank level0\" >\n",
       "                  \n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col0\" colspan=1>\n",
       "                  Non-Steroids\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col1\" colspan=1>\n",
       "                  Steroids\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </thead>\n",
       "        <tbody>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row0\" rowspan=1>\n",
       "                    Games\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row0_col0\"\n",
       "                 class=\"data row0 col0\" >\n",
       "                    0.441952\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row0_col1\"\n",
       "                 class=\"data row0 col1\" >\n",
       "                    0.405887\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row1\" rowspan=1>\n",
       "                    Awards\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row1_col0\"\n",
       "                 class=\"data row1 col0\" >\n",
       "                    0.549761\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row1_col1\"\n",
       "                 class=\"data row1 col1\" >\n",
       "                    0.61307\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row2\" rowspan=1>\n",
       "                    Assists\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row2_col0\"\n",
       "                 class=\"data row2 col0\" >\n",
       "                    0.155641\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row2_col1\"\n",
       "                 class=\"data row2 col1\" >\n",
       "                    0.261737\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row3\" rowspan=1>\n",
       "                    Errors\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row3_col0\"\n",
       "                 class=\"data row3 col0\" >\n",
       "                    0.268064\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row3_col1\"\n",
       "                 class=\"data row3 col1\" >\n",
       "                    0.287917\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row4\" rowspan=1>\n",
       "                    Double Plays\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row4_col0\"\n",
       "                 class=\"data row4 col0\" >\n",
       "                    0.179603\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row4_col1\"\n",
       "                 class=\"data row4 col1\" >\n",
       "                    0.106853\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row5\" rowspan=1>\n",
       "                    Passed Balls\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row5_col0\"\n",
       "                 class=\"data row5 col0\" >\n",
       "                    0.00880757\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row5_col1\"\n",
       "                 class=\"data row5 col1\" >\n",
       "                    0.074596\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row6\" rowspan=1>\n",
       "                    Wild Pitch\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row6_col0\"\n",
       "                 class=\"data row6 col0\" >\n",
       "                    -0.0483633\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row6_col1\"\n",
       "                 class=\"data row6 col1\" >\n",
       "                    0.0506098\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row7\" rowspan=1>\n",
       "                    Opp. Stolen Bases\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row7_col0\"\n",
       "                 class=\"data row7 col0\" >\n",
       "                    -0.0352384\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row7_col1\"\n",
       "                 class=\"data row7 col1\" >\n",
       "                    0.134962\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row8\" rowspan=1>\n",
       "                    Opp. Caught Stealing\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row8_col0\"\n",
       "                 class=\"data row8 col0\" >\n",
       "                    -0.0354581\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row8_col1\"\n",
       "                 class=\"data row8 col1\" >\n",
       "                    0.0644052\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row9\" rowspan=1>\n",
       "                    Error / Game\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row9_col0\"\n",
       "                 class=\"data row9 col0\" >\n",
       "                    0.039757\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row9_col1\"\n",
       "                 class=\"data row9 col1\" >\n",
       "                    0.0611495\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row10\" rowspan=1>\n",
       "                    Runs\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row10_col0\"\n",
       "                 class=\"data row10 col0\" >\n",
       "                    0.593983\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row10_col1\"\n",
       "                 class=\"data row10 col1\" >\n",
       "                    0.464748\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row11\" rowspan=1>\n",
       "                    Runs Batted In\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row11_col0\"\n",
       "                 class=\"data row11 col0\" >\n",
       "                    0.568051\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row11_col1\"\n",
       "                 class=\"data row11 col1\" >\n",
       "                    0.26048\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row12\" rowspan=1>\n",
       "                    Home Runs\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row12_col0\"\n",
       "                 class=\"data row12 col0\" >\n",
       "                    0.327522\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row12_col1\"\n",
       "                 class=\"data row12 col1\" >\n",
       "                    0.159846\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row13\" rowspan=1>\n",
       "                    Hits\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row13_col0\"\n",
       "                 class=\"data row13 col0\" >\n",
       "                    0.558178\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row13_col1\"\n",
       "                 class=\"data row13 col1\" >\n",
       "                    0.486375\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row14\" rowspan=1>\n",
       "                    Stolen Bases\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row14_col0\"\n",
       "                 class=\"data row14 col0\" >\n",
       "                    0.277262\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row14_col1\"\n",
       "                 class=\"data row14 col1\" >\n",
       "                    0.276848\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row15\" rowspan=1>\n",
       "                    Strike Outs\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row15_col0\"\n",
       "                 class=\"data row15 col0\" >\n",
       "                    0.107125\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row15_col1\"\n",
       "                 class=\"data row15 col1\" >\n",
       "                    0.0884563\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row16\" rowspan=1>\n",
       "                    Batting Average\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row16_col0\"\n",
       "                 class=\"data row16 col0\" >\n",
       "                    0.467331\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row16_col1\"\n",
       "                 class=\"data row16 col1\" >\n",
       "                    0.318515\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row17\" rowspan=1>\n",
       "                    On-base Percentage\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row17_col0\"\n",
       "                 class=\"data row17 col0\" >\n",
       "                    0.427277\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row17_col1\"\n",
       "                 class=\"data row17 col1\" >\n",
       "                    0.0897034\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row18\" rowspan=1>\n",
       "                    Slugging Average\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row18_col0\"\n",
       "                 class=\"data row18 col0\" >\n",
       "                    0.428173\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row18_col1\"\n",
       "                 class=\"data row18 col1\" >\n",
       "                    0.301905\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row19\" rowspan=1>\n",
       "                    On-base Plus Slugging\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row19_col0\"\n",
       "                 class=\"data row19 col0\" >\n",
       "                    0.460672\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row19_col1\"\n",
       "                 class=\"data row19 col1\" >\n",
       "                    0.180214\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728\"\n",
       "                 class=\"row_heading level0 row20\" rowspan=1>\n",
       "                    Inducted\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row20_col0\"\n",
       "                 class=\"data row20 col0\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_c7e20f2b_d070_11e6_a9db_6c4008a47728row20_col1\"\n",
       "                 class=\"data row20 col1\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </tbody>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "<pandas.formats.style.Styler at 0x110e3f210>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "steroids_corr = pd.concat({'Non-Steroids': create_corr_df(non_steroids_era)['Inducted'],\n",
    "          'Steroids': create_corr_df(steroids_era)['Inducted']}, axis=1)\n",
    "steroids_corr.style.background_gradient(cmap=cmap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that offensive statistics seem to matter less with the steroids era players, as correlations for Runs, RBI, Home Runs, and Hits all decrease when we look from non-steroid era players to steroid era players.\n",
    "\n",
    "This suggests that Hall of Fame voters may be discounting offensive statistics for players from the steroids era."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion\n",
    "In this report, we found some statistics that correlate with entry into the Hall of Fame and investigated whether or not voters may or may not be discounting offensive stats from the steroids era.\n",
    "\n",
    "With that said, these conclusions are tentative and correlation does not imply causation. "
   ]
  }
 ],
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