Data Exploration_V2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d02d1f32",
   "metadata": {},
   "source": [
    "# INSY695 Group Project"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a784a77",
   "metadata": {},
   "source": [
    "## Step 2: Data Exploration\n",
    "\n",
    "After aggregating all the datasets, we then start exploring the data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b178a94",
   "metadata": {},
   "source": [
    "<b>Load packages</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6fbf5290",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from plotly.offline import plot, iplot, init_notebook_mode\n",
    "import xgboost as xgb\n",
    "from xgboost import XGBClassifier\n",
    "\n",
    "import warnings\n",
    "from pandas.core.common import SettingWithCopyWarning\n",
    "warnings.simplefilter(action=\"ignore\", category=SettingWithCopyWarning)\n",
    "warnings.simplefilter(action='ignore', category=DeprecationWarning)\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.experimental import enable_iterative_imputer\n",
    "from sklearn.impute import IterativeImputer\n",
    "import shap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c647696",
   "metadata": {},
   "source": [
    "## 2.1 <b>Import Dataset</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "148d6d0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"period1_combined.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad38b9a4",
   "metadata": {},
   "source": [
    "## 2.2 <b>Check How Data Look Like</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7fe3bf1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(52610, 26)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape # 52610 rows, 26 columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "66a6e56e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>game_id</th>\n",
       "      <th>HoA</th>\n",
       "      <th>won</th>\n",
       "      <th>settled_in</th>\n",
       "      <th>head_coach</th>\n",
       "      <th>pim</th>\n",
       "      <th>powerPlayOpportunities</th>\n",
       "      <th>powerPlayGoals</th>\n",
       "      <th>faceOffWinPercentage</th>\n",
       "      <th>...</th>\n",
       "      <th>Giveaways</th>\n",
       "      <th>Missed Shots</th>\n",
       "      <th>Penalities</th>\n",
       "      <th>#Won Faceoffs</th>\n",
       "      <th>team_id</th>\n",
       "      <th>timeOnIce</th>\n",
       "      <th>evenTimeOnIce</th>\n",
       "      <th>shortHandedTimeOnIce</th>\n",
       "      <th>powerPlayTimeOnIce</th>\n",
       "      <th>goalie_replacement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2016020045</td>\n",
       "      <td>away</td>\n",
       "      <td>False</td>\n",
       "      <td>REG</td>\n",
       "      <td>Dave Hakstol</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.33</td>\n",
       "      <td>0.67</td>\n",
       "      <td>50.9</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>330.28</td>\n",
       "      <td>280.46</td>\n",
       "      <td>18.52</td>\n",
       "      <td>31.30</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2016020045</td>\n",
       "      <td>home</td>\n",
       "      <td>True</td>\n",
       "      <td>REG</td>\n",
       "      <td>Joel Quenneville</td>\n",
       "      <td>2.67</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.67</td>\n",
       "      <td>49.1</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>327.11</td>\n",
       "      <td>278.93</td>\n",
       "      <td>25.04</td>\n",
       "      <td>23.15</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2017020812</td>\n",
       "      <td>away</td>\n",
       "      <td>True</td>\n",
       "      <td>OT</td>\n",
       "      <td>Randy Carlyle</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.33</td>\n",
       "      <td>43.8</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>334.07</td>\n",
       "      <td>293.20</td>\n",
       "      <td>9.48</td>\n",
       "      <td>31.39</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2017020812</td>\n",
       "      <td>home</td>\n",
       "      <td>False</td>\n",
       "      <td>OT</td>\n",
       "      <td>Phil Housley</td>\n",
       "      <td>2.67</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.33</td>\n",
       "      <td>56.2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>333.07</td>\n",
       "      <td>296.11</td>\n",
       "      <td>25.11</td>\n",
       "      <td>11.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2015020314</td>\n",
       "      <td>away</td>\n",
       "      <td>True</td>\n",
       "      <td>REG</td>\n",
       "      <td>Patrick Roy</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.33</td>\n",
       "      <td>45.7</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>328.89</td>\n",
       "      <td>281.57</td>\n",
       "      <td>17.78</td>\n",
       "      <td>29.54</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0     game_id   HoA    won settled_in        head_coach   pim  \\\n",
       "0           0  2016020045  away  False        REG      Dave Hakstol  2.00   \n",
       "1           1  2016020045  home   True        REG  Joel Quenneville  2.67   \n",
       "2           2  2017020812  away   True         OT     Randy Carlyle  2.00   \n",
       "3           3  2017020812  home  False         OT      Phil Housley  2.67   \n",
       "4           4  2015020314  away   True        REG       Patrick Roy  3.00   \n",
       "\n",
       "   powerPlayOpportunities  powerPlayGoals  faceOffWinPercentage  ...  \\\n",
       "0                    1.33            0.67                  50.9  ...   \n",
       "1                    1.00            0.67                  49.1  ...   \n",
       "2                    1.00            0.33                  43.8  ...   \n",
       "3                    0.67            0.33                  56.2  ...   \n",
       "4                    1.00            0.33                  45.7  ...   \n",
       "\n",
       "  Giveaways  Missed Shots  Penalities  #Won Faceoffs  team_id  timeOnIce  \\\n",
       "0       6.0           4.0         1.0           10.0      4.0     330.28   \n",
       "1       7.0           0.0         1.0           12.0     16.0     327.11   \n",
       "2       2.0           6.0         1.0           11.0     24.0     334.07   \n",
       "3       0.0           3.0         3.0            9.0      7.0     333.07   \n",
       "4       7.0           3.0         2.0            7.0     21.0     328.89   \n",
       "\n",
       "   evenTimeOnIce  shortHandedTimeOnIce  powerPlayTimeOnIce  goalie_replacement  \n",
       "0         280.46                 18.52               31.30                 Yes  \n",
       "1         278.93                 25.04               23.15                  No  \n",
       "2         293.20                  9.48               31.39                  No  \n",
       "3         296.11                 25.11               11.85                  No  \n",
       "4         281.57                 17.78               29.54                  No  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2b46f581",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>game_id</th>\n",
       "      <th>pim</th>\n",
       "      <th>powerPlayOpportunities</th>\n",
       "      <th>powerPlayGoals</th>\n",
       "      <th>faceOffWinPercentage</th>\n",
       "      <th>Shots</th>\n",
       "      <th>Goals</th>\n",
       "      <th>Takeaways</th>\n",
       "      <th>Hits</th>\n",
       "      <th>Blocked Shots</th>\n",
       "      <th>Giveaways</th>\n",
       "      <th>Missed Shots</th>\n",
       "      <th>Penalities</th>\n",
       "      <th>#Won Faceoffs</th>\n",
       "      <th>team_id</th>\n",
       "      <th>timeOnIce</th>\n",
       "      <th>evenTimeOnIce</th>\n",
       "      <th>shortHandedTimeOnIce</th>\n",
       "      <th>powerPlayTimeOnIce</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>52610.000000</td>\n",
       "      <td>5.261000e+04</td>\n",
       "      <td>52602.000000</td>\n",
       "      <td>52602.000000</td>\n",
       "      <td>52602.000000</td>\n",
       "      <td>30462.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52610.000000</td>\n",
       "      <td>52582.000000</td>\n",
       "      <td>52582.000000</td>\n",
       "      <td>52582.000000</td>\n",
       "      <td>52582.000000</td>\n",
       "      <td>52582.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>26304.500000</td>\n",
       "      <td>2.010765e+09</td>\n",
       "      <td>3.918255</td>\n",
       "      <td>1.231235</td>\n",
       "      <td>0.221774</td>\n",
       "      <td>49.967179</td>\n",
       "      <td>7.018628</td>\n",
       "      <td>0.971964</td>\n",
       "      <td>1.899107</td>\n",
       "      <td>6.911785</td>\n",
       "      <td>3.658810</td>\n",
       "      <td>2.593898</td>\n",
       "      <td>2.899810</td>\n",
       "      <td>1.742197</td>\n",
       "      <td>7.335069</td>\n",
       "      <td>16.874862</td>\n",
       "      <td>329.537617</td>\n",
       "      <td>269.212202</td>\n",
       "      <td>26.704262</td>\n",
       "      <td>33.62115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>15187.343168</td>\n",
       "      <td>6.073510e+06</td>\n",
       "      <td>3.009886</td>\n",
       "      <td>0.623485</td>\n",
       "      <td>0.271154</td>\n",
       "      <td>7.326322</td>\n",
       "      <td>7.910037</td>\n",
       "      <td>1.198563</td>\n",
       "      <td>2.740545</td>\n",
       "      <td>8.006232</td>\n",
       "      <td>4.461539</td>\n",
       "      <td>3.661681</td>\n",
       "      <td>3.674668</td>\n",
       "      <td>1.492722</td>\n",
       "      <td>7.853894</td>\n",
       "      <td>11.188100</td>\n",
       "      <td>14.260545</td>\n",
       "      <td>30.446479</td>\n",
       "      <td>13.655711</td>\n",
       "      <td>17.22695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000020e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>133.330000</td>\n",
       "      <td>133.330000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>13152.250000</td>\n",
       "      <td>2.006020e+09</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.670000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>45.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>323.910000</td>\n",
       "      <td>250.760000</td>\n",
       "      <td>17.780000</td>\n",
       "      <td>22.22000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>26304.500000</td>\n",
       "      <td>2.011021e+09</td>\n",
       "      <td>3.330000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>327.310000</td>\n",
       "      <td>270.960000</td>\n",
       "      <td>26.300000</td>\n",
       "      <td>33.17000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>39456.750000</td>\n",
       "      <td>2.016030e+09</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.670000</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>54.800000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>331.480000</td>\n",
       "      <td>288.940000</td>\n",
       "      <td>35.560000</td>\n",
       "      <td>44.44000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>52609.000000</td>\n",
       "      <td>2.019041e+09</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>5.330000</td>\n",
       "      <td>2.330000</td>\n",
       "      <td>79.200000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>827.260000</td>\n",
       "      <td>762.870000</td>\n",
       "      <td>115.480000</td>\n",
       "      <td>146.30000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0       game_id           pim  powerPlayOpportunities  \\\n",
       "count  52610.000000  5.261000e+04  52602.000000            52602.000000   \n",
       "mean   26304.500000  2.010765e+09      3.918255                1.231235   \n",
       "std    15187.343168  6.073510e+06      3.009886                0.623485   \n",
       "min        0.000000  2.000020e+09      0.000000                0.000000   \n",
       "25%    13152.250000  2.006020e+09      2.000000                0.670000   \n",
       "50%    26304.500000  2.011021e+09      3.330000                1.000000   \n",
       "75%    39456.750000  2.016030e+09      5.000000                1.670000   \n",
       "max    52609.000000  2.019041e+09     71.000000                5.330000   \n",
       "\n",
       "       powerPlayGoals  faceOffWinPercentage         Shots         Goals  \\\n",
       "count    52602.000000          30462.000000  52610.000000  52610.000000   \n",
       "mean         0.221774             49.967179      7.018628      0.971964   \n",
       "std          0.271154              7.326322      7.910037      1.198563   \n",
       "min          0.000000              0.000000      0.000000      0.000000   \n",
       "25%          0.000000             45.200000      0.000000      0.000000   \n",
       "50%          0.000000             50.000000      6.000000      1.000000   \n",
       "75%          0.330000             54.800000     12.000000      2.000000   \n",
       "max          2.330000             79.200000     54.000000     12.000000   \n",
       "\n",
       "          Takeaways          Hits  Blocked Shots     Giveaways  Missed Shots  \\\n",
       "count  52610.000000  52610.000000   52610.000000  52610.000000  52610.000000   \n",
       "mean       1.899107      6.911785       3.658810      2.593898      2.899810   \n",
       "std        2.740545      8.006232       4.461539      3.661681      3.674668   \n",
       "min        0.000000      0.000000       0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000       0.000000      0.000000      0.000000   \n",
       "50%        1.000000      5.000000       2.000000      1.000000      2.000000   \n",
       "75%        3.000000     12.000000       6.000000      4.000000      5.000000   \n",
       "max       26.000000     60.000000      34.000000     30.000000     34.000000   \n",
       "\n",
       "         Penalities  #Won Faceoffs       team_id     timeOnIce  evenTimeOnIce  \\\n",
       "count  52610.000000   52610.000000  52582.000000  52582.000000   52582.000000   \n",
       "mean       1.742197       7.335069     16.874862    329.537617     269.212202   \n",
       "std        1.492722       7.853894     11.188100     14.260545      30.446479   \n",
       "min        0.000000       0.000000      1.000000    133.330000     133.330000   \n",
       "25%        1.000000       0.000000      8.000000    323.910000     250.760000   \n",
       "50%        2.000000       7.000000     16.000000    327.310000     270.960000   \n",
       "75%        2.000000      12.000000     24.000000    331.480000     288.940000   \n",
       "max       16.000000      42.000000     90.000000    827.260000     762.870000   \n",
       "\n",
       "       shortHandedTimeOnIce  powerPlayTimeOnIce  \n",
       "count          52582.000000         52582.00000  \n",
       "mean              26.704262            33.62115  \n",
       "std               13.655711            17.22695  \n",
       "min                0.000000             0.00000  \n",
       "25%               17.780000            22.22000  \n",
       "50%               26.300000            33.17000  \n",
       "75%               35.560000            44.44000  \n",
       "max              115.480000           146.30000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01fa2688",
   "metadata": {},
   "source": [
    "## 2.3 Check Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4a21245e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0                    0\n",
       "game_id                       0\n",
       "HoA                           0\n",
       "won                           0\n",
       "settled_in                    0\n",
       "head_coach                   28\n",
       "pim                           8\n",
       "powerPlayOpportunities        8\n",
       "powerPlayGoals                8\n",
       "faceOffWinPercentage      22148\n",
       "startRinkSide              2392\n",
       "Shots                         0\n",
       "Goals                         0\n",
       "Takeaways                     0\n",
       "Hits                          0\n",
       "Blocked Shots                 0\n",
       "Giveaways                     0\n",
       "Missed Shots                  0\n",
       "Penalities                    0\n",
       "#Won Faceoffs                 0\n",
       "team_id                      28\n",
       "timeOnIce                    28\n",
       "evenTimeOnIce                28\n",
       "shortHandedTimeOnIce         28\n",
       "powerPlayTimeOnIce           28\n",
       "goalie_replacement           35\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75abaea4",
   "metadata": {},
   "source": [
    "## 2.4 <b>Remove Irrelevant Column</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f60930b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop(columns='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "49f0bca4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>game_id</th>\n",
       "      <th>HoA</th>\n",
       "      <th>won</th>\n",
       "      <th>settled_in</th>\n",
       "      <th>head_coach</th>\n",
       "      <th>pim</th>\n",
       "      <th>powerPlayOpportunities</th>\n",
       "      <th>powerPlayGoals</th>\n",
       "      <th>faceOffWinPercentage</th>\n",
       "      <th>startRinkSide</th>\n",
       "      <th>...</th>\n",
       "      <th>Giveaways</th>\n",
       "      <th>Missed Shots</th>\n",
       "      <th>Penalities</th>\n",
       "      <th>#Won Faceoffs</th>\n",
       "      <th>team_id</th>\n",
       "      <th>timeOnIce</th>\n",
       "      <th>evenTimeOnIce</th>\n",
       "      <th>shortHandedTimeOnIce</th>\n",
       "      <th>powerPlayTimeOnIce</th>\n",
       "      <th>goalie_replacement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016020045</td>\n",
       "      <td>away</td>\n",
       "      <td>False</td>\n",
       "      <td>REG</td>\n",
       "      <td>Dave Hakstol</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.33</td>\n",
       "      <td>0.67</td>\n",
       "      <td>50.9</td>\n",
       "      <td>left</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>330.28</td>\n",
       "      <td>280.46</td>\n",
       "      <td>18.52</td>\n",
       "      <td>31.30</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016020045</td>\n",
       "      <td>home</td>\n",
       "      <td>True</td>\n",
       "      <td>REG</td>\n",
       "      <td>Joel Quenneville</td>\n",
       "      <td>2.67</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.67</td>\n",
       "      <td>49.1</td>\n",
       "      <td>left</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>327.11</td>\n",
       "      <td>278.93</td>\n",
       "      <td>25.04</td>\n",
       "      <td>23.15</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017020812</td>\n",
       "      <td>away</td>\n",
       "      <td>True</td>\n",
       "      <td>OT</td>\n",
       "      <td>Randy Carlyle</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.33</td>\n",
       "      <td>43.8</td>\n",
       "      <td>right</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>334.07</td>\n",
       "      <td>293.20</td>\n",
       "      <td>9.48</td>\n",
       "      <td>31.39</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017020812</td>\n",
       "      <td>home</td>\n",
       "      <td>False</td>\n",
       "      <td>OT</td>\n",
       "      <td>Phil Housley</td>\n",
       "      <td>2.67</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.33</td>\n",
       "      <td>56.2</td>\n",
       "      <td>right</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>333.07</td>\n",
       "      <td>296.11</td>\n",
       "      <td>25.11</td>\n",
       "      <td>11.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015020314</td>\n",
       "      <td>away</td>\n",
       "      <td>True</td>\n",
       "      <td>REG</td>\n",
       "      <td>Patrick Roy</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.33</td>\n",
       "      <td>45.7</td>\n",
       "      <td>left</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>328.89</td>\n",
       "      <td>281.57</td>\n",
       "      <td>17.78</td>\n",
       "      <td>29.54</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      game_id   HoA    won settled_in        head_coach   pim  \\\n",
       "0  2016020045  away  False        REG      Dave Hakstol  2.00   \n",
       "1  2016020045  home   True        REG  Joel Quenneville  2.67   \n",
       "2  2017020812  away   True         OT     Randy Carlyle  2.00   \n",
       "3  2017020812  home  False         OT      Phil Housley  2.67   \n",
       "4  2015020314  away   True        REG       Patrick Roy  3.00   \n",
       "\n",
       "   powerPlayOpportunities  powerPlayGoals  faceOffWinPercentage startRinkSide  \\\n",
       "0                    1.33            0.67                  50.9          left   \n",
       "1                    1.00            0.67                  49.1          left   \n",
       "2                    1.00            0.33                  43.8         right   \n",
       "3                    0.67            0.33                  56.2         right   \n",
       "4                    1.00            0.33                  45.7          left   \n",
       "\n",
       "   ...  Giveaways  Missed Shots  Penalities  #Won Faceoffs  team_id  \\\n",
       "0  ...        6.0           4.0         1.0           10.0      4.0   \n",
       "1  ...        7.0           0.0         1.0           12.0     16.0   \n",
       "2  ...        2.0           6.0         1.0           11.0     24.0   \n",
       "3  ...        0.0           3.0         3.0            9.0      7.0   \n",
       "4  ...        7.0           3.0         2.0            7.0     21.0   \n",
       "\n",
       "   timeOnIce  evenTimeOnIce  shortHandedTimeOnIce  powerPlayTimeOnIce  \\\n",
       "0     330.28         280.46                 18.52               31.30   \n",
       "1     327.11         278.93                 25.04               23.15   \n",
       "2     334.07         293.20                  9.48               31.39   \n",
       "3     333.07         296.11                 25.11               11.85   \n",
       "4     328.89         281.57                 17.78               29.54   \n",
       "\n",
       "   goalie_replacement  \n",
       "0                 Yes  \n",
       "1                  No  \n",
       "2                  No  \n",
       "3                  No  \n",
       "4                  No  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a45ea04",
   "metadata": {},
   "source": [
    "## 2.5 <b>Check Variable Types</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "afa84d44",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 52610 entries, 0 to 52609\n",
      "Data columns (total 25 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   game_id                 52610 non-null  int64  \n",
      " 1   HoA                     52610 non-null  object \n",
      " 2   won                     52610 non-null  bool   \n",
      " 3   settled_in              52610 non-null  object \n",
      " 4   head_coach              52582 non-null  object \n",
      " 5   pim                     52602 non-null  float64\n",
      " 6   powerPlayOpportunities  52602 non-null  float64\n",
      " 7   powerPlayGoals          52602 non-null  float64\n",
      " 8   faceOffWinPercentage    30462 non-null  float64\n",
      " 9   startRinkSide           50218 non-null  object \n",
      " 10  Shots                   52610 non-null  float64\n",
      " 11  Goals                   52610 non-null  float64\n",
      " 12  Takeaways               52610 non-null  float64\n",
      " 13  Hits                    52610 non-null  float64\n",
      " 14  Blocked Shots           52610 non-null  float64\n",
      " 15  Giveaways               52610 non-null  float64\n",
      " 16  Missed Shots            52610 non-null  float64\n",
      " 17  Penalities              52610 non-null  float64\n",
      " 18  #Won Faceoffs           52610 non-null  float64\n",
      " 19  team_id                 52582 non-null  float64\n",
      " 20  timeOnIce               52582 non-null  float64\n",
      " 21  evenTimeOnIce           52582 non-null  float64\n",
      " 22  shortHandedTimeOnIce    52582 non-null  float64\n",
      " 23  powerPlayTimeOnIce      52582 non-null  float64\n",
      " 24  goalie_replacement      52575 non-null  object \n",
      "dtypes: bool(1), float64(18), int64(1), object(5)\n",
      "memory usage: 9.7+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ace33658",
   "metadata": {},
   "source": [
    "<b>Generate a HTML report</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a114d400",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import pandas_profiling\n",
    "#profile = data.profile_report(title='Pandas Profiling Report')\n",
    "\n",
    "#profile.to_file(output_file=\"profile_report_output.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07ab58e9",
   "metadata": {},
   "source": [
    "# 2.6 <b>Examine Data Distribution of Each Variable<b/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc37c987",
   "metadata": {},
   "source": [
    "In this section, we use histograms to look at the distribution of numeric variables. For categorical variables, we count the frequency of each value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6371cc74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "away    26305\n",
       "home    26305\n",
       "Name: HoA, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"HoA\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3cd612fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    26947\n",
       "True     25663\n",
       "Name: won, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"won\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6ccacc90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "REG    40306\n",
       "OT     12256\n",
       "tbc       48\n",
       "Name: settled_in, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"settled_in\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b5c7c9d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Barry Trotz         1804\n",
       "Joel Quenneville    1599\n",
       "John Tortorella     1563\n",
       "Claude Julien       1500\n",
       "Mike Babcock        1475\n",
       "                    ... \n",
       "Al Arbour              1\n",
       "Dan Lacroix            1\n",
       "Cap Raeder             1\n",
       "Terry O'Reilly         1\n",
       "Martin Raymond         1\n",
       "Name: head_coach, Length: 146, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"head_coach\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a3bf4ed5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"pim\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e6746ca2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"powerPlayOpportunities\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0b802d77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"powerPlayGoals\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ed0337f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"faceOffWinPercentage\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "38d7e77f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "left     26852\n",
       "right    23366\n",
       "Name: startRinkSide, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"startRinkSide\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8952b21e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"Shots\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "482a6a90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"Goals\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "43622c60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"Takeaways\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ce291bd8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"Hits\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0a9753d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"Blocked Shots\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1e63c3c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYQAAAD8CAYAAAB3u9PLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAXDklEQVR4nO3df6zddZ3n8efLlsVGBkTUm6btLuzSbAbKWpebThN3NpfBHTo6SXECmxoiNbKpIZBowh+C/6hrmsBmkQ2MkK3BUBjG0qBuG5WdJeCNa4LFYtBSEL07dKW0acNQkZsMrIX3/nE+dzyU23vP/dV77u3zkZyc73mf7+d7P+9+aV/3++McUlVIkvSu+Z6AJKk/GAiSJMBAkCQ1BoIkCTAQJEmNgSBJAnoIhCTvTvJkkp8n2Z/kK63+5SQvJXm6PT7WNeaWJCNJnk9yRVf90iT72nt3Jkmrn5nkoVbfk+T8OehVkjSBXo4Q3gD+rKo+BKwFNiRZ3967o6rWtscPAJJcBGwCLgY2AHcnWdLWvwfYAqxujw2tfh1wrKouBO4AbptxZ5KkKZk0EKpjtL08oz0m+jTbRmBHVb1RVS8AI8C6JMuBs6vqiep8Gu5+4MquMdvb8sPA5WNHD5KkU2NpLyu13/CfAi4Evl5Ve5L8BXBjkmuBvcBNVXUMWAH8pGv4wVb7fVs+sU57fhGgqo4neRU4D3j5hHlsoXOEwbJlyy5dtWrVFFr9g7feeot3vWtxXD6xl/6zWPoAe+lXM+nlV7/61ctV9YHx3uspEKrqTWBtkvcC302yhs7pn6/SOVr4KnA78BlgvN/sa4I6k7zXPY9twDaAwcHB2rt3by/Tf4fh4WGGhoamNbbf2Ev/WSx9gL30q5n0kuT/nuy9KUVMVf0WGAY2VNWRqnqzqt4CvgGsa6sdBLp/dV8JHGr1lePU3zYmyVLgHOCVqcxNkjQzvdxl9IF2ZECSZcBHgV+2awJjPgE805Z3A5vanUMX0Ll4/GRVHQZeS7K+XR+4FtjVNWZzW74KeLz81j1JOqV6OWW0HNjeriO8C9hZVd9L8kCStXRO7RwAPgtQVfuT7ASeBY4DN7RTTgDXA/cBy4BH2gPgXuCBJCN0jgw2zbw1SdJUTBoIVfUL4MPj1D81wZitwNZx6nuBNePUXweunmwukqS5szguuUuSZsxAkCQBBoIkqTEQJEmAgSBJanr6pPJis++lV/n0zd+fl5994NaPz8vPlaTJeIQgSQIMBElSYyBIkgADQZLUGAiSJMBAkCQ1BoIkCTAQJEmNgSBJAgwESVJjIEiSAANBktQYCJIkwECQJDUGgiQJMBAkSc2kgZDk3UmeTPLzJPuTfKXV35fk0SS/bs/ndo25JclIkueTXNFVvzTJvvbenUnS6mcmeajV9yQ5fw56lSRNoJcjhDeAP6uqDwFrgQ1J1gM3A49V1WrgsfaaJBcBm4CLgQ3A3UmWtG3dA2wBVrfHhla/DjhWVRcCdwC3zbw1SdJUTBoI1THaXp7RHgVsBLa3+nbgyra8EdhRVW9U1QvACLAuyXLg7Kp6oqoKuP+EMWPbehi4fOzoQZJ0avT0/1Ruv+E/BVwIfL2q9iQZqKrDAFV1OMkH2+orgJ90DT/Yar9vyyfWx8a82LZ1PMmrwHnAyyfMYwudIwwGBgYYHh7usc23G1gGN11yfFpjZ2q6cz6Z0dHRWd/mfFksvSyWPsBe+tVc9dJTIFTVm8DaJO8FvptkzQSrj/ebfU1Qn2jMifPYBmwDGBwcrKGhoQmmcXJ3PbiL2/f11PqsO3DN0Kxub3h4mOn+OfSbxdLLYukD7KVfzVUvU7rLqKp+CwzTOfd/pJ0Goj0fbasdBFZ1DVsJHGr1lePU3zYmyVLgHOCVqcxNkjQzvdxl9IF2ZECSZcBHgV8Cu4HNbbXNwK62vBvY1O4cuoDOxeMn2+ml15Ksb9cHrj1hzNi2rgIeb9cZJEmnSC/nTZYD29t1hHcBO6vqe0meAHYmuQ74DXA1QFXtT7ITeBY4DtzQTjkBXA/cBywDHmkPgHuBB5KM0Dky2DQbzUmSejdpIFTVL4APj1P/B+Dyk4zZCmwdp74XeMf1h6p6nRYokqT54SeVJUmAgSBJagwESRJgIEiSGgNBkgQYCJKkxkCQJAEGgiSpMRAkSYCBIElqDARJEmAgSJIaA0GSBBgIkqTGQJAkAQaCJKkxECRJgIEgSWoMBEkSYCBIkhoDQZIEGAiSpGbSQEiyKskPkzyXZH+Sz7X6l5O8lOTp9vhY15hbkowkeT7JFV31S5Psa+/dmSStfmaSh1p9T5Lz56BXSdIEejlCOA7cVFV/DKwHbkhyUXvvjqpa2x4/AGjvbQIuBjYAdydZ0ta/B9gCrG6PDa1+HXCsqi4E7gBum3lrkqSpmDQQqupwVf2sLb8GPAesmGDIRmBHVb1RVS8AI8C6JMuBs6vqiaoq4H7gyq4x29vyw8DlY0cPkqRTY+lUVm6ncj4M7AE+AtyY5FpgL52jiGN0wuInXcMOttrv2/KJddrziwBVdTzJq8B5wMsn/PwtdI4wGBgYYHh4eCrT/ycDy+CmS45Pa+xMTXfOJzM6Ojrr25wvi6WXxdIH2Eu/mqteeg6EJGcB3wY+X1W/S3IP8FWg2vPtwGeA8X6zrwnqTPLeHwpV24BtAIODgzU0NNTr9N/mrgd3cfu+KWXhrDlwzdCsbm94eJjp/jn0m8XSy2LpA+ylX81VLz3dZZTkDDph8GBVfQegqo5U1ZtV9RbwDWBdW/0gsKpr+ErgUKuvHKf+tjFJlgLnAK9MpyFJ0vT0cpdRgHuB56rqa1315V2rfQJ4pi3vBja1O4cuoHPx+MmqOgy8lmR92+a1wK6uMZvb8lXA4+06gyTpFOnlvMlHgE8B+5I83WpfBD6ZZC2dUzsHgM8CVNX+JDuBZ+ncoXRDVb3Zxl0P3AcsAx5pD+gEzgNJRugcGWyaSVOSpKmbNBCq6seMf47/BxOM2QpsHae+F1gzTv114OrJ5iJJmjt+UlmSBBgIkqTGQJAkAQaCJKkxECRJgIEgSWoMBEkSYCBIkhoDQZIEGAiSpMZAkCQBBoIkqTEQJEmAgSBJagwESRJgIEiSGgNBkgQYCJKkxkCQJAEGgiSpMRAkSYCBIElqJg2EJKuS/DDJc0n2J/lcq78vyaNJft2ez+0ac0uSkSTPJ7miq35pkn3tvTuTpNXPTPJQq+9Jcv4c9CpJmkAvRwjHgZuq6o+B9cANSS4CbgYeq6rVwGPtNe29TcDFwAbg7iRL2rbuAbYAq9tjQ6tfBxyrqguBO4DbZqE3SdIUTBoIVXW4qn7Wll8DngNWABuB7W217cCVbXkjsKOq3qiqF4ARYF2S5cDZVfVEVRVw/wljxrb1MHD52NGDJOnUmNI1hHYq58PAHmCgqg5DJzSAD7bVVgAvdg072Gor2vKJ9beNqarjwKvAeVOZmyRpZpb2umKSs4BvA5+vqt9N8Av8eG/UBPWJxpw4hy10TjkxMDDA8PDwJLMe38AyuOmS49MaO1PTnfPJjI6Ozvo258ti6WWx9AH20q/mqpeeAiHJGXTC4MGq+k4rH0myvKoOt9NBR1v9ILCqa/hK4FCrrxyn3j3mYJKlwDnAKyfOo6q2AdsABgcHa2hoqJfpv8NdD+7i9n09Z+GsOnDN0Kxub3h4mOn+OfSbxdLLYukD7KVfzVUvvdxlFOBe4Lmq+lrXW7uBzW15M7Crq76p3Tl0AZ2Lx0+200qvJVnftnntCWPGtnUV8Hi7ziBJOkV6+TX5I8CngH1Jnm61LwK3AjuTXAf8BrgaoKr2J9kJPEvnDqUbqurNNu564D5gGfBIe0AncB5IMkLnyGDTzNqSJE3VpIFQVT9m/HP8AJefZMxWYOs49b3AmnHqr9MCRZI0P/yksiQJMBAkSY2BIEkCDARJUmMgSJIAA0GS1BgIkiTAQJAkNQaCJAkwECRJjYEgSQIMBElSYyBIkgADQZLUGAiSJMBAkCQ1BoIkCTAQJEmNgSBJAgwESVJjIEiSAANBktRMGghJvpnkaJJnumpfTvJSkqfb42Nd792SZCTJ80mu6KpfmmRfe+/OJGn1M5M81Op7kpw/yz1KknrQyxHCfcCGcep3VNXa9vgBQJKLgE3AxW3M3UmWtPXvAbYAq9tjbJvXAceq6kLgDuC2afYiSZqBSQOhqn4EvNLj9jYCO6rqjap6ARgB1iVZDpxdVU9UVQH3A1d2jdnelh8GLh87epAknTozuYZwY5JftFNK57baCuDFrnUOttqKtnxi/W1jquo48Cpw3gzmJUmahqXTHHcP8FWg2vPtwGeA8X6zrwnqTPLe2yTZQue0EwMDAwwPD09p0mMGlsFNlxyf1tiZmu6cT2Z0dHTWtzlfFksvi6UPsJd+NVe9TCsQqurI2HKSbwDfay8PAqu6Vl0JHGr1lePUu8ccTLIUOIeTnKKqqm3ANoDBwcEaGhqazvS568Fd3L5vulk4MweuGZrV7Q0PDzPdP4d+s1h6WSx9gL30q7nqZVqnjNo1gTGfAMbuQNoNbGp3Dl1A5+Lxk1V1GHgtyfp2feBaYFfXmM1t+Srg8XadQZJ0Ck36a3KSbwFDwPuTHAS+BAwlWUvn1M4B4LMAVbU/yU7gWeA4cENVvdk2dT2dO5aWAY+0B8C9wANJRugcGWyahb4kSVM0aSBU1SfHKd87wfpbga3j1PcCa8apvw5cPdk8JElzy08qS5IAA0GS1BgIkiTAQJAkNQaCJAkwECRJjYEgSQIMBElSYyBIkgADQZLUGAiSJMBAkCQ1BoIkCTAQJEmNgSBJAgwESVJjIEiSAANBktQYCJIkwECQJDUGgiQJMBAkSY2BIEkCegiEJN9McjTJM1219yV5NMmv2/O5Xe/dkmQkyfNJruiqX5pkX3vvziRp9TOTPNTqe5KcP8s9SpJ60MsRwn3AhhNqNwOPVdVq4LH2miQXAZuAi9uYu5MsaWPuAbYAq9tjbJvXAceq6kLgDuC26TYjSZq+SQOhqn4EvHJCeSOwvS1vB67squ+oqjeq6gVgBFiXZDlwdlU9UVUF3H/CmLFtPQxcPnb0IEk6ddL593mSlTqncb5XVWva699W1Xu73j9WVecm+WvgJ1X1N61+L/AIcAC4tao+2up/Cnyhqv6ynYraUFUH23v/B/iTqnp5nHlsoXOUwcDAwKU7duyYVtNHX3mVI/84raF9Z2AZPfVyyYpz5n4yMzQ6OspZZ50139OYscXSB9hLv5pJL5dddtlTVTU43ntLZzSrdxrvN/uaoD7RmHcWq7YB2wAGBwdraGhoGlOEux7cxe37Zrv1+XHTJcd76uXANUNzP5kZGh4eZrr7tJ8slj7AXvrVXPUy3buMjrTTQLTno61+EFjVtd5K4FCrrxyn/rYxSZYC5/DOU1SSpDk23UDYDWxuy5uBXV31Te3OoQvoXDx+sqoOA68lWd+uD1x7wpixbV0FPF69nMeSJM2qSc81JPkWMAS8P8lB4EvArcDOJNcBvwGuBqiq/Ul2As8Cx4EbqurNtqnr6dyxtIzOdYVHWv1e4IEkI3SODDbNSmeSpCmZNBCq6pMneevyk6y/Fdg6Tn0vsGac+uu0QJEkzR8/qSxJAgwESVJjIEiSAANBktQYCJIkwECQJDUGgiQJMBAkSY2BIEkCDARJUmMgSJIAA0GS1BgIkiTAQJAkNQaCJAkwECRJjYEgSQIMBElSYyBIkgADQZLULJ3vCejUOP/m78/bzz5w68fn7WdL6p1HCJIkYIaBkORAkn1Jnk6yt9Xel+TRJL9uz+d2rX9LkpEkzye5oqt+advOSJI7k2Qm85IkTd1sHCFcVlVrq2qwvb4ZeKyqVgOPtdckuQjYBFwMbADuTrKkjbkH2AKsbo8NszAvSdIUzMUpo43A9ra8Hbiyq76jqt6oqheAEWBdkuXA2VX1RFUVcH/XGEnSKZLOv8HTHJy8ABwDCvjvVbUtyW+r6r1d6xyrqnOT/DXwk6r6m1a/F3gEOADcWlUfbfU/Bb5QVX85zs/bQudIgoGBgUt37NgxrXkffeVVjvzjtIb2nYFl9H0vl6w4p6f1RkdHOeuss+Z4NnNvsfQB9tKvZtLLZZdd9lTXGZ23meldRh+pqkNJPgg8muSXE6w73nWBmqD+zmLVNmAbwODgYA0NDU1xuh13PbiL2/ctjhusbrrkeN/3cuCaoZ7WGx4eZrr7tJ8slj7AXvrVXPUyo1NGVXWoPR8FvgusA46000C056Nt9YPAqq7hK4FDrb5ynLok6RSadiAkeU+SPxpbBv4ceAbYDWxuq20GdrXl3cCmJGcmuYDOxeMnq+ow8FqS9e3uomu7xkiSTpGZnGsYAL7b7hBdCvxtVf3PJD8Fdia5DvgNcDVAVe1PshN4FjgO3FBVb7ZtXQ/cByyjc13hkRnMS5I0DdMOhKr6e+BD49T/Abj8JGO2AlvHqe8F1kx3LpKkmfOTypIkwECQJDUGgiQJMBAkSY2BIEkCDARJUmMgSJIAA0GS1BgIkiTAQJAkNQaCJAkwECRJjYEgSQIMBElSYyBIkoCZ/z+VpUmdf/P3e1rvpkuO8+ke1+3FgVs/Pmvbkk4HBoIWrV6DaLbdt+E98/JzpZnylJEkCTAQJEmNgSBJAgwESVJjIEiSgD4KhCQbkjyfZCTJzfM9H0k63fTFbadJlgBfB/4DcBD4aZLdVfXs/M5Mmrp9L706q5+nmE+9fjbEz3wsDn0RCMA6YKSq/h4gyQ5gI2AgSAvAfH3mAwyj2ZSqmu85kOQqYENV/af2+lPAn1TVjSestwXY0l7+a+D5af7I9wMvT3Nsv7GX/rNY+gB76Vcz6eVfVNUHxnujX44QMk7tHUlVVduAbTP+Ycneqhqc6Xb6gb30n8XSB9hLv5qrXvrlovJBYFXX65XAoXmaiySdlvolEH4KrE5yQZJ/BmwCds/znCTptNIXp4yq6niSG4G/A5YA36yq/XP4I2d82qmP2Ev/WSx9gL30qznppS8uKkuS5l+/nDKSJM0zA0GSBJyGgbCYviIjyYEk+5I8nWTvfM+nV0m+meRokme6au9L8miSX7fnc+dzjr06SS9fTvJS2y9PJ/nYfM6xV0lWJflhkueS7E/yuVZfUPtmgj4W3H5J8u4kTyb5eevlK60+J/vktLqG0L4i41d0fUUG8MmF+hUZSQ4Ag1W1oD5sk+TfA6PA/VW1ptX+C/BKVd3agvrcqvrCfM6zFyfp5cvAaFX91/mc21QlWQ4sr6qfJfkj4CngSuDTLKB9M0Ef/5EFtl+SBHhPVY0mOQP4MfA54K+Yg31yuh0h/NNXZFTV/wPGviJDp1BV/Qh45YTyRmB7W95O5y9w3ztJLwtSVR2uqp+15deA54AVLLB9M0EfC051jLaXZ7RHMUf75HQLhBXAi12vD7JA/0NpCvhfSZ5qX+uxkA1U1WHo/IUGPjjP85mpG5P8op1S6utTLONJcj7wYWAPC3jfnNAHLMD9kmRJkqeBo8CjVTVn++R0C4SeviJjAflIVf1b4C+AG9rpC82/e4B/BawFDgO3z+tspijJWcC3gc9X1e/mez7TNU4fC3K/VNWbVbWWzjc4rEuyZq5+1ukWCIvqKzKq6lB7Pgp8l84psYXqSDv3O3YO+Og8z2faqupI+0v8FvANFtB+aeepvw08WFXfaeUFt2/G62Mh7xeAqvotMAxsYI72yekWCIvmKzKSvKddMCPJe4A/B56ZeFRf2w1sbsubgV3zOJcZGfuL2nyCBbJf2gXMe4HnquprXW8tqH1zsj4W4n5J8oEk723Ly4CPAr9kjvbJaXWXEUC71ey/8YevyNg6vzOaniT/ks5RAXS+guRvF0ovSb4FDNH5Ct8jwJeA/wHsBP458Bvg6qrq+4u1J+lliM5piQIOAJ8dO9/bz5L8O+B/A/uAt1r5i3TOvy+YfTNBH59kge2XJP+GzkXjJXR+gd9ZVf85yXnMwT457QJBkjS+0+2UkSTpJAwESRJgIEiSGgNBkgQYCJKkxkCQJAEGgiSp+f9mPVZ8RHs8/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"Giveaways\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fa74c16d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"Missed Shots\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5b37dfe6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = data.rename(columns={\"Penalities\": \"Penalties\"})\n",
    "data[\"Penalties\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a8986859",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"#Won Faceoffs\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f8e7ac51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"timeOnIce\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e149bd5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"evenTimeOnIce\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "bb724804",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"shortHandedTimeOnIce\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d24f9ad9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[\"powerPlayTimeOnIce\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "6581d5ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     48498\n",
       "Yes     4077\n",
       "Name: goalie_replacement, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"goalie_replacement\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40a904ee",
   "metadata": {},
   "source": [
    "## 2.7 <b>Check Outliers for Numeric Values</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed3b28ae",
   "metadata": {},
   "source": [
    "In this section, we use boxplots to observe how many outliers there are for each variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "af60f582",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['pim']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f5bcaeca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['powerPlayOpportunities']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "13c66279",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['powerPlayGoals']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a1cabef3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['faceOffWinPercentage']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "cbf156d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['Shots']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f3e63e1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['Goals']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d87e2f7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['Takeaways']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "7fa41f4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['Hits']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6f13ec2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['Blocked Shots']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "e2cf3fa3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['Giveaways']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "7a8b89e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['Missed Shots']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "d930218a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['Penalties']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "aa1f202f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['#Won Faceoffs']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "1d372798",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['timeOnIce']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "d195f796",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['evenTimeOnIce']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a34a6c5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RcXhEfCsi7qif6XtWvWtBRNwWEXdFxAn1sUdExDfq58n+ICJOrrcvjYirImIVcA1wKXBWffV51r573m0Mn4mIvqieK9zTsP3+iOjZxzimRsSq+mFEn6XhWQMRcXZE/Kju+7MDj0+MiL+ur1j/m+qW86HGNHhFHxFbIuITEXFrRKyOiNfU+zdGxNvqYyZG9bzdW+rX59y6qb8Cvl+qhwtRqju+PsSzj7FcGtWzewfa+/B+xnN+/RrcEREfr7f9fkSsrMf1vYHXR88BY30HjV8tv0Ppz4F/bVh/AXA/sKBe/yBwdb28AlhSL58O3F4vLwVuBSbV6+8BPtXQ5nuonux2e8PXFqrnCEN9VxfV84TXAifX6/sbxz8Bf18vv4XqrssjgROB64HOet+ngXOAo6luX/5d4HnA9xvHVx+7ZY/1tQ3jK9R3YwFfB1YBnVTPdB54Dd4PLK6Xu6juMDwe+CSwcB+v+6+B59ev3f/U5xwJbG4Y/5b633n1MZP3eL3WADPr5ddS3To/5u8pv1r/5VTG+HcXcEVEfILq1uvv1dOfAw9iuhX4s3r5DVRBTinl5vrK9QX1vutKKdsO0M9XSikfGliJiLUN+/4iIt5PNXV2NNWHJtxZ79vXON44sFxK+VZE/Lre/ibgVOCWuoZJVA+/eS2wtpTySN33V4BZB3pR9vA0sLJevgvYXkrZERF3AcfV2/8EODki3lGvv4DqmQfB/p8UNrD9W6WU7cD2iHgYOIrqNt4Bc4DPl/r5CqWUx6J6kuHrgf9omK7uaqImtTGDeZwrpayPiFOpnu3xD/V0BMD2+t9nePZ9cKDHEz45nP7rh7Z8FPjDUsqvI+ILwGENh+xrHI397tYc0FtKuWiPPt6+n+MP1o5SysD5uwbGVErZVc+pD/S9oJTy7T36PpbqfySN26ZTXQ0/UYfq9obde9Y50Pae458A/Ka0YF5c+TnHPM5FxEuBraWUa6keuv7qAxz+XeDd9XmnAY+WfT93+gngdw5yCM+nCvXHI+Ioqh/bh9I4jnlUDyOC6kf7d0TEi+t9R0TE71F9aMFp9RV+J/DOgxxbM74NfKBun4iYFdWD+L8IvCEi5tTbJ1FNxVzWRNurgPfWvzgkIo6oX/efRsQ7620REa8cuXKUmcE8/p0E/Cgibqd6wtWyAxy7FOiOiDuBj/PsYxn39B1g9sH88q+UcgfwY+AnwOeo5n+H0gO8MSJuo5pC+Fnd1jpgMbCqHuNNwNGl+gSMpcD/AquB2w6ij2ZdTfUY0dui+gDOzwId9fTOmcDiiLiPairkFuBT+21pD6WUlVR/2dFXf58+Wu96N/C+iLiD6vVru49l0/D4dDlJSsYrZklKxmCWpGQMZklKxmCWpGQMZklKxmCWpGQMZklK5v8BrTI2PE7yIrYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['shortHandedTimeOnIce']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "449d00b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data['powerPlayTimeOnIce']) \n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82784d7d",
   "metadata": {},
   "source": [
    "## 2.8 <b>Check Relationships between Variables</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "ba2088ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf54557520>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['Shots'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "3d64a395",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf3480bcd0>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['pim'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "7784df56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf34dd9d30>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['powerPlayOpportunities'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "f10410ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf34f20f70>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['Giveaways'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "63bd1c3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf350eebe0>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['Takeaways'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c341b30f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf353000d0>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['Blocked Shots'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "d386857f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf35550430>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['timeOnIce'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "45b9677c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf357813d0>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['evenTimeOnIce'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f4e261b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf359b1940>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['shortHandedTimeOnIce'], data['Goals'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "8a225629",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fbf3556f7f0>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['powerPlayTimeOnIce'], data['Goals'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e0e641d",
   "metadata": {},
   "source": [
    "## 2.9 Check Correlations among Variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c32dffb2",
   "metadata": {},
   "source": [
    "<b>Correlation Matrix</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "edd713bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>game_id</th>\n",
       "      <th>won</th>\n",
       "      <th>pim</th>\n",
       "      <th>powerPlayOpportunities</th>\n",
       "      <th>powerPlayGoals</th>\n",
       "      <th>faceOffWinPercentage</th>\n",
       "      <th>Shots</th>\n",
       "      <th>Goals</th>\n",
       "      <th>Takeaways</th>\n",
       "      <th>Hits</th>\n",
       "      <th>Blocked Shots</th>\n",
       "      <th>Giveaways</th>\n",
       "      <th>Missed Shots</th>\n",
       "      <th>Penalties</th>\n",
       "      <th>#Won Faceoffs</th>\n",
       "      <th>team_id</th>\n",
       "      <th>timeOnIce</th>\n",
       "      <th>evenTimeOnIce</th>\n",
       "      <th>shortHandedTimeOnIce</th>\n",
       "      <th>powerPlayTimeOnIce</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>game_id</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.035644</td>\n",
       "      <td>-0.282438</td>\n",
       "      <td>-0.344464</td>\n",
       "      <td>-0.092177</td>\n",
       "      <td>-0.001894</td>\n",
       "      <td>0.789341</td>\n",
       "      <td>0.196113</td>\n",
       "      <td>0.619095</td>\n",
       "      <td>0.748870</td>\n",
       "      <td>0.720520</td>\n",
       "      <td>0.656967</td>\n",
       "      <td>0.695786</td>\n",
       "      <td>-0.026590</td>\n",
       "      <td>0.819437</td>\n",
       "      <td>0.121623</td>\n",
       "      <td>0.112091</td>\n",
       "      <td>0.377174</td>\n",
       "      <td>-0.319603</td>\n",
       "      <td>-0.320469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>won</th>\n",
       "      <td>0.035644</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.040227</td>\n",
       "      <td>0.014062</td>\n",
       "      <td>0.240841</td>\n",
       "      <td>0.030458</td>\n",
       "      <td>0.029922</td>\n",
       "      <td>0.267319</td>\n",
       "      <td>0.033402</td>\n",
       "      <td>0.007485</td>\n",
       "      <td>0.017686</td>\n",
       "      <td>0.018816</td>\n",
       "      <td>0.025583</td>\n",
       "      <td>-0.021170</td>\n",
       "      <td>0.029584</td>\n",
       "      <td>-0.000703</td>\n",
       "      <td>-0.061166</td>\n",
       "      <td>-0.014458</td>\n",
       "      <td>0.027570</td>\n",
       "      <td>-0.046924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pim</th>\n",
       "      <td>-0.282438</td>\n",
       "      <td>-0.040227</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.290553</td>\n",
       "      <td>0.125405</td>\n",
       "      <td>-0.008734</td>\n",
       "      <td>-0.241420</td>\n",
       "      <td>-0.021400</td>\n",
       "      <td>-0.196892</td>\n",
       "      <td>-0.206042</td>\n",
       "      <td>-0.203386</td>\n",
       "      <td>-0.206228</td>\n",
       "      <td>-0.213437</td>\n",
       "      <td>0.394495</td>\n",
       "      <td>-0.226532</td>\n",
       "      <td>-0.043878</td>\n",
       "      <td>-0.219767</td>\n",
       "      <td>-0.473268</td>\n",
       "      <td>0.531016</td>\n",
       "      <td>0.233581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>powerPlayOpportunities</th>\n",
       "      <td>-0.344464</td>\n",
       "      <td>0.014062</td>\n",
       "      <td>0.290553</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.416509</td>\n",
       "      <td>0.045235</td>\n",
       "      <td>-0.263063</td>\n",
       "      <td>-0.021325</td>\n",
       "      <td>-0.237199</td>\n",
       "      <td>-0.290760</td>\n",
       "      <td>-0.281181</td>\n",
       "      <td>-0.233411</td>\n",
       "      <td>-0.236607</td>\n",
       "      <td>0.180387</td>\n",
       "      <td>-0.279389</td>\n",
       "      <td>-0.031550</td>\n",
       "      <td>-0.102416</td>\n",
       "      <td>-0.699932</td>\n",
       "      <td>0.291013</td>\n",
       "      <td>0.921583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>powerPlayGoals</th>\n",
       "      <td>-0.092177</td>\n",
       "      <td>0.240841</td>\n",
       "      <td>0.125405</td>\n",
       "      <td>0.416509</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.024805</td>\n",
       "      <td>-0.073169</td>\n",
       "      <td>0.207833</td>\n",
       "      <td>-0.062641</td>\n",
       "      <td>-0.089320</td>\n",
       "      <td>-0.078443</td>\n",
       "      <td>-0.066697</td>\n",
       "      <td>-0.073773</td>\n",
       "      <td>0.080296</td>\n",
       "      <td>-0.063443</td>\n",
       "      <td>-0.014150</td>\n",
       "      <td>-0.062207</td>\n",
       "      <td>-0.211148</td>\n",
       "      <td>0.141829</td>\n",
       "      <td>0.209274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>faceOffWinPercentage</th>\n",
       "      <td>-0.001894</td>\n",
       "      <td>0.030458</td>\n",
       "      <td>-0.008734</td>\n",
       "      <td>0.045235</td>\n",
       "      <td>0.024805</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.056749</td>\n",
       "      <td>-0.002061</td>\n",
       "      <td>0.028990</td>\n",
       "      <td>0.003427</td>\n",
       "      <td>-0.043485</td>\n",
       "      <td>0.044582</td>\n",
       "      <td>0.054245</td>\n",
       "      <td>-0.012978</td>\n",
       "      <td>0.278906</td>\n",
       "      <td>0.011705</td>\n",
       "      <td>0.006001</td>\n",
       "      <td>-0.000322</td>\n",
       "      <td>-0.031744</td>\n",
       "      <td>0.032160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shots</th>\n",
       "      <td>0.789341</td>\n",
       "      <td>0.029922</td>\n",
       "      <td>-0.241420</td>\n",
       "      <td>-0.263063</td>\n",
       "      <td>-0.073169</td>\n",
       "      <td>0.056749</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.229203</td>\n",
       "      <td>0.635037</td>\n",
       "      <td>0.733889</td>\n",
       "      <td>0.672977</td>\n",
       "      <td>0.652551</td>\n",
       "      <td>0.728890</td>\n",
       "      <td>0.005041</td>\n",
       "      <td>0.841162</td>\n",
       "      <td>0.105719</td>\n",
       "      <td>0.094385</td>\n",
       "      <td>0.309062</td>\n",
       "      <td>-0.288510</td>\n",
       "      <td>-0.239397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goals</th>\n",
       "      <td>0.196113</td>\n",
       "      <td>0.267319</td>\n",
       "      <td>-0.021400</td>\n",
       "      <td>-0.021325</td>\n",
       "      <td>0.207833</td>\n",
       "      <td>-0.002061</td>\n",
       "      <td>0.229203</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.213079</td>\n",
       "      <td>0.184680</td>\n",
       "      <td>0.202165</td>\n",
       "      <td>0.201851</td>\n",
       "      <td>0.187022</td>\n",
       "      <td>0.065262</td>\n",
       "      <td>0.280259</td>\n",
       "      <td>0.035985</td>\n",
       "      <td>-0.050998</td>\n",
       "      <td>0.026876</td>\n",
       "      <td>-0.018791</td>\n",
       "      <td>-0.074814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Takeaways</th>\n",
       "      <td>0.619095</td>\n",
       "      <td>0.033402</td>\n",
       "      <td>-0.196892</td>\n",
       "      <td>-0.237199</td>\n",
       "      <td>-0.062641</td>\n",
       "      <td>0.028990</td>\n",
       "      <td>0.635037</td>\n",
       "      <td>0.213079</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.588349</td>\n",
       "      <td>0.557075</td>\n",
       "      <td>0.567010</td>\n",
       "      <td>0.559351</td>\n",
       "      <td>0.025349</td>\n",
       "      <td>0.642733</td>\n",
       "      <td>0.091135</td>\n",
       "      <td>0.071765</td>\n",
       "      <td>0.259931</td>\n",
       "      <td>-0.220695</td>\n",
       "      <td>-0.225042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hits</th>\n",
       "      <td>0.748870</td>\n",
       "      <td>0.007485</td>\n",
       "      <td>-0.206042</td>\n",
       "      <td>-0.290760</td>\n",
       "      <td>-0.089320</td>\n",
       "      <td>0.003427</td>\n",
       "      <td>0.733889</td>\n",
       "      <td>0.184680</td>\n",
       "      <td>0.588349</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.703145</td>\n",
       "      <td>0.650616</td>\n",
       "      <td>0.641033</td>\n",
       "      <td>0.023764</td>\n",
       "      <td>0.765339</td>\n",
       "      <td>0.097920</td>\n",
       "      <td>0.128556</td>\n",
       "      <td>0.329618</td>\n",
       "      <td>-0.258975</td>\n",
       "      <td>-0.270850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blocked Shots</th>\n",
       "      <td>0.720520</td>\n",
       "      <td>0.017686</td>\n",
       "      <td>-0.203386</td>\n",
       "      <td>-0.281181</td>\n",
       "      <td>-0.078443</td>\n",
       "      <td>-0.043485</td>\n",
       "      <td>0.672977</td>\n",
       "      <td>0.202165</td>\n",
       "      <td>0.557075</td>\n",
       "      <td>0.703145</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.624766</td>\n",
       "      <td>0.583193</td>\n",
       "      <td>0.074480</td>\n",
       "      <td>0.724801</td>\n",
       "      <td>0.100598</td>\n",
       "      <td>0.098243</td>\n",
       "      <td>0.295579</td>\n",
       "      <td>-0.221926</td>\n",
       "      <td>-0.265153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Giveaways</th>\n",
       "      <td>0.656967</td>\n",
       "      <td>0.018816</td>\n",
       "      <td>-0.206228</td>\n",
       "      <td>-0.233411</td>\n",
       "      <td>-0.066697</td>\n",
       "      <td>0.044582</td>\n",
       "      <td>0.652551</td>\n",
       "      <td>0.201851</td>\n",
       "      <td>0.567010</td>\n",
       "      <td>0.650616</td>\n",
       "      <td>0.624766</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.583718</td>\n",
       "      <td>0.021951</td>\n",
       "      <td>0.688152</td>\n",
       "      <td>0.061802</td>\n",
       "      <td>0.089359</td>\n",
       "      <td>0.269123</td>\n",
       "      <td>-0.235979</td>\n",
       "      <td>-0.214611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missed Shots</th>\n",
       "      <td>0.695786</td>\n",
       "      <td>0.025583</td>\n",
       "      <td>-0.213437</td>\n",
       "      <td>-0.236607</td>\n",
       "      <td>-0.073773</td>\n",
       "      <td>0.054245</td>\n",
       "      <td>0.728890</td>\n",
       "      <td>0.187022</td>\n",
       "      <td>0.559351</td>\n",
       "      <td>0.641033</td>\n",
       "      <td>0.583193</td>\n",
       "      <td>0.583718</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.012295</td>\n",
       "      <td>0.723686</td>\n",
       "      <td>0.104671</td>\n",
       "      <td>0.085758</td>\n",
       "      <td>0.276479</td>\n",
       "      <td>-0.255810</td>\n",
       "      <td>-0.214873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Penalties</th>\n",
       "      <td>-0.026590</td>\n",
       "      <td>-0.021170</td>\n",
       "      <td>0.394495</td>\n",
       "      <td>0.180387</td>\n",
       "      <td>0.080296</td>\n",
       "      <td>-0.012978</td>\n",
       "      <td>0.005041</td>\n",
       "      <td>0.065262</td>\n",
       "      <td>0.025349</td>\n",
       "      <td>0.023764</td>\n",
       "      <td>0.074480</td>\n",
       "      <td>0.021951</td>\n",
       "      <td>-0.012295</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.064321</td>\n",
       "      <td>-0.003025</td>\n",
       "      <td>-0.138438</td>\n",
       "      <td>-0.321689</td>\n",
       "      <td>0.394439</td>\n",
       "      <td>0.141274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>#Won Faceoffs</th>\n",
       "      <td>0.819437</td>\n",
       "      <td>0.029584</td>\n",
       "      <td>-0.226532</td>\n",
       "      <td>-0.279389</td>\n",
       "      <td>-0.063443</td>\n",
       "      <td>0.278906</td>\n",
       "      <td>0.841162</td>\n",
       "      <td>0.280259</td>\n",
       "      <td>0.642733</td>\n",
       "      <td>0.765339</td>\n",
       "      <td>0.724801</td>\n",
       "      <td>0.688152</td>\n",
       "      <td>0.723686</td>\n",
       "      <td>0.064321</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.110374</td>\n",
       "      <td>0.094926</td>\n",
       "      <td>0.313606</td>\n",
       "      <td>-0.267448</td>\n",
       "      <td>-0.263676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>team_id</th>\n",
       "      <td>0.121623</td>\n",
       "      <td>-0.000703</td>\n",
       "      <td>-0.043878</td>\n",
       "      <td>-0.031550</td>\n",
       "      <td>-0.014150</td>\n",
       "      <td>0.011705</td>\n",
       "      <td>0.105719</td>\n",
       "      <td>0.035985</td>\n",
       "      <td>0.091135</td>\n",
       "      <td>0.097920</td>\n",
       "      <td>0.100598</td>\n",
       "      <td>0.061802</td>\n",
       "      <td>0.104671</td>\n",
       "      <td>-0.003025</td>\n",
       "      <td>0.110374</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.032155</td>\n",
       "      <td>0.016847</td>\n",
       "      <td>-0.035959</td>\n",
       "      <td>-0.027887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timeOnIce</th>\n",
       "      <td>0.112091</td>\n",
       "      <td>-0.061166</td>\n",
       "      <td>-0.219767</td>\n",
       "      <td>-0.102416</td>\n",
       "      <td>-0.062207</td>\n",
       "      <td>0.006001</td>\n",
       "      <td>0.094385</td>\n",
       "      <td>-0.050998</td>\n",
       "      <td>0.071765</td>\n",
       "      <td>0.128556</td>\n",
       "      <td>0.098243</td>\n",
       "      <td>0.089359</td>\n",
       "      <td>0.085758</td>\n",
       "      <td>-0.138438</td>\n",
       "      <td>0.094926</td>\n",
       "      <td>-0.032155</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.609689</td>\n",
       "      <td>-0.244028</td>\n",
       "      <td>-0.056308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>evenTimeOnIce</th>\n",
       "      <td>0.377174</td>\n",
       "      <td>-0.014458</td>\n",
       "      <td>-0.473268</td>\n",
       "      <td>-0.699932</td>\n",
       "      <td>-0.211148</td>\n",
       "      <td>-0.000322</td>\n",
       "      <td>0.309062</td>\n",
       "      <td>0.026876</td>\n",
       "      <td>0.259931</td>\n",
       "      <td>0.329618</td>\n",
       "      <td>0.295579</td>\n",
       "      <td>0.269123</td>\n",
       "      <td>0.276479</td>\n",
       "      <td>-0.321689</td>\n",
       "      <td>0.313606</td>\n",
       "      <td>0.016847</td>\n",
       "      <td>0.609689</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.704323</td>\n",
       "      <td>-0.704359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shortHandedTimeOnIce</th>\n",
       "      <td>-0.319603</td>\n",
       "      <td>0.027570</td>\n",
       "      <td>0.531016</td>\n",
       "      <td>0.291013</td>\n",
       "      <td>0.141829</td>\n",
       "      <td>-0.031744</td>\n",
       "      <td>-0.288510</td>\n",
       "      <td>-0.018791</td>\n",
       "      <td>-0.220695</td>\n",
       "      <td>-0.258975</td>\n",
       "      <td>-0.221926</td>\n",
       "      <td>-0.235979</td>\n",
       "      <td>-0.255810</td>\n",
       "      <td>0.394439</td>\n",
       "      <td>-0.267448</td>\n",
       "      <td>-0.035959</td>\n",
       "      <td>-0.244028</td>\n",
       "      <td>-0.704323</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.250102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>powerPlayTimeOnIce</th>\n",
       "      <td>-0.320469</td>\n",
       "      <td>-0.046924</td>\n",
       "      <td>0.233581</td>\n",
       "      <td>0.921583</td>\n",
       "      <td>0.209274</td>\n",
       "      <td>0.032160</td>\n",
       "      <td>-0.239397</td>\n",
       "      <td>-0.074814</td>\n",
       "      <td>-0.225042</td>\n",
       "      <td>-0.270850</td>\n",
       "      <td>-0.265153</td>\n",
       "      <td>-0.214611</td>\n",
       "      <td>-0.214873</td>\n",
       "      <td>0.141274</td>\n",
       "      <td>-0.263676</td>\n",
       "      <td>-0.027887</td>\n",
       "      <td>-0.056308</td>\n",
       "      <td>-0.704359</td>\n",
       "      <td>0.250102</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         game_id       won       pim  powerPlayOpportunities  \\\n",
       "game_id                 1.000000  0.035644 -0.282438               -0.344464   \n",
       "won                     0.035644  1.000000 -0.040227                0.014062   \n",
       "pim                    -0.282438 -0.040227  1.000000                0.290553   \n",
       "powerPlayOpportunities -0.344464  0.014062  0.290553                1.000000   \n",
       "powerPlayGoals         -0.092177  0.240841  0.125405                0.416509   \n",
       "faceOffWinPercentage   -0.001894  0.030458 -0.008734                0.045235   \n",
       "Shots                   0.789341  0.029922 -0.241420               -0.263063   \n",
       "Goals                   0.196113  0.267319 -0.021400               -0.021325   \n",
       "Takeaways               0.619095  0.033402 -0.196892               -0.237199   \n",
       "Hits                    0.748870  0.007485 -0.206042               -0.290760   \n",
       "Blocked Shots           0.720520  0.017686 -0.203386               -0.281181   \n",
       "Giveaways               0.656967  0.018816 -0.206228               -0.233411   \n",
       "Missed Shots            0.695786  0.025583 -0.213437               -0.236607   \n",
       "Penalties              -0.026590 -0.021170  0.394495                0.180387   \n",
       "#Won Faceoffs           0.819437  0.029584 -0.226532               -0.279389   \n",
       "team_id                 0.121623 -0.000703 -0.043878               -0.031550   \n",
       "timeOnIce               0.112091 -0.061166 -0.219767               -0.102416   \n",
       "evenTimeOnIce           0.377174 -0.014458 -0.473268               -0.699932   \n",
       "shortHandedTimeOnIce   -0.319603  0.027570  0.531016                0.291013   \n",
       "powerPlayTimeOnIce     -0.320469 -0.046924  0.233581                0.921583   \n",
       "\n",
       "                        powerPlayGoals  faceOffWinPercentage     Shots  \\\n",
       "game_id                      -0.092177             -0.001894  0.789341   \n",
       "won                           0.240841              0.030458  0.029922   \n",
       "pim                           0.125405             -0.008734 -0.241420   \n",
       "powerPlayOpportunities        0.416509              0.045235 -0.263063   \n",
       "powerPlayGoals                1.000000              0.024805 -0.073169   \n",
       "faceOffWinPercentage          0.024805              1.000000  0.056749   \n",
       "Shots                        -0.073169              0.056749  1.000000   \n",
       "Goals                         0.207833             -0.002061  0.229203   \n",
       "Takeaways                    -0.062641              0.028990  0.635037   \n",
       "Hits                         -0.089320              0.003427  0.733889   \n",
       "Blocked Shots                -0.078443             -0.043485  0.672977   \n",
       "Giveaways                    -0.066697              0.044582  0.652551   \n",
       "Missed Shots                 -0.073773              0.054245  0.728890   \n",
       "Penalties                     0.080296             -0.012978  0.005041   \n",
       "#Won Faceoffs                -0.063443              0.278906  0.841162   \n",
       "team_id                      -0.014150              0.011705  0.105719   \n",
       "timeOnIce                    -0.062207              0.006001  0.094385   \n",
       "evenTimeOnIce                -0.211148             -0.000322  0.309062   \n",
       "shortHandedTimeOnIce          0.141829             -0.031744 -0.288510   \n",
       "powerPlayTimeOnIce            0.209274              0.032160 -0.239397   \n",
       "\n",
       "                           Goals  Takeaways      Hits  Blocked Shots  \\\n",
       "game_id                 0.196113   0.619095  0.748870       0.720520   \n",
       "won                     0.267319   0.033402  0.007485       0.017686   \n",
       "pim                    -0.021400  -0.196892 -0.206042      -0.203386   \n",
       "powerPlayOpportunities -0.021325  -0.237199 -0.290760      -0.281181   \n",
       "powerPlayGoals          0.207833  -0.062641 -0.089320      -0.078443   \n",
       "faceOffWinPercentage   -0.002061   0.028990  0.003427      -0.043485   \n",
       "Shots                   0.229203   0.635037  0.733889       0.672977   \n",
       "Goals                   1.000000   0.213079  0.184680       0.202165   \n",
       "Takeaways               0.213079   1.000000  0.588349       0.557075   \n",
       "Hits                    0.184680   0.588349  1.000000       0.703145   \n",
       "Blocked Shots           0.202165   0.557075  0.703145       1.000000   \n",
       "Giveaways               0.201851   0.567010  0.650616       0.624766   \n",
       "Missed Shots            0.187022   0.559351  0.641033       0.583193   \n",
       "Penalties               0.065262   0.025349  0.023764       0.074480   \n",
       "#Won Faceoffs           0.280259   0.642733  0.765339       0.724801   \n",
       "team_id                 0.035985   0.091135  0.097920       0.100598   \n",
       "timeOnIce              -0.050998   0.071765  0.128556       0.098243   \n",
       "evenTimeOnIce           0.026876   0.259931  0.329618       0.295579   \n",
       "shortHandedTimeOnIce   -0.018791  -0.220695 -0.258975      -0.221926   \n",
       "powerPlayTimeOnIce     -0.074814  -0.225042 -0.270850      -0.265153   \n",
       "\n",
       "                        Giveaways  Missed Shots  Penalties  #Won Faceoffs  \\\n",
       "game_id                  0.656967      0.695786  -0.026590       0.819437   \n",
       "won                      0.018816      0.025583  -0.021170       0.029584   \n",
       "pim                     -0.206228     -0.213437   0.394495      -0.226532   \n",
       "powerPlayOpportunities  -0.233411     -0.236607   0.180387      -0.279389   \n",
       "powerPlayGoals          -0.066697     -0.073773   0.080296      -0.063443   \n",
       "faceOffWinPercentage     0.044582      0.054245  -0.012978       0.278906   \n",
       "Shots                    0.652551      0.728890   0.005041       0.841162   \n",
       "Goals                    0.201851      0.187022   0.065262       0.280259   \n",
       "Takeaways                0.567010      0.559351   0.025349       0.642733   \n",
       "Hits                     0.650616      0.641033   0.023764       0.765339   \n",
       "Blocked Shots            0.624766      0.583193   0.074480       0.724801   \n",
       "Giveaways                1.000000      0.583718   0.021951       0.688152   \n",
       "Missed Shots             0.583718      1.000000  -0.012295       0.723686   \n",
       "Penalties                0.021951     -0.012295   1.000000       0.064321   \n",
       "#Won Faceoffs            0.688152      0.723686   0.064321       1.000000   \n",
       "team_id                  0.061802      0.104671  -0.003025       0.110374   \n",
       "timeOnIce                0.089359      0.085758  -0.138438       0.094926   \n",
       "evenTimeOnIce            0.269123      0.276479  -0.321689       0.313606   \n",
       "shortHandedTimeOnIce    -0.235979     -0.255810   0.394439      -0.267448   \n",
       "powerPlayTimeOnIce      -0.214611     -0.214873   0.141274      -0.263676   \n",
       "\n",
       "                         team_id  timeOnIce  evenTimeOnIce  \\\n",
       "game_id                 0.121623   0.112091       0.377174   \n",
       "won                    -0.000703  -0.061166      -0.014458   \n",
       "pim                    -0.043878  -0.219767      -0.473268   \n",
       "powerPlayOpportunities -0.031550  -0.102416      -0.699932   \n",
       "powerPlayGoals         -0.014150  -0.062207      -0.211148   \n",
       "faceOffWinPercentage    0.011705   0.006001      -0.000322   \n",
       "Shots                   0.105719   0.094385       0.309062   \n",
       "Goals                   0.035985  -0.050998       0.026876   \n",
       "Takeaways               0.091135   0.071765       0.259931   \n",
       "Hits                    0.097920   0.128556       0.329618   \n",
       "Blocked Shots           0.100598   0.098243       0.295579   \n",
       "Giveaways               0.061802   0.089359       0.269123   \n",
       "Missed Shots            0.104671   0.085758       0.276479   \n",
       "Penalties              -0.003025  -0.138438      -0.321689   \n",
       "#Won Faceoffs           0.110374   0.094926       0.313606   \n",
       "team_id                 1.000000  -0.032155       0.016847   \n",
       "timeOnIce              -0.032155   1.000000       0.609689   \n",
       "evenTimeOnIce           0.016847   0.609689       1.000000   \n",
       "shortHandedTimeOnIce   -0.035959  -0.244028      -0.704323   \n",
       "powerPlayTimeOnIce     -0.027887  -0.056308      -0.704359   \n",
       "\n",
       "                        shortHandedTimeOnIce  powerPlayTimeOnIce  \n",
       "game_id                            -0.319603           -0.320469  \n",
       "won                                 0.027570           -0.046924  \n",
       "pim                                 0.531016            0.233581  \n",
       "powerPlayOpportunities              0.291013            0.921583  \n",
       "powerPlayGoals                      0.141829            0.209274  \n",
       "faceOffWinPercentage               -0.031744            0.032160  \n",
       "Shots                              -0.288510           -0.239397  \n",
       "Goals                              -0.018791           -0.074814  \n",
       "Takeaways                          -0.220695           -0.225042  \n",
       "Hits                               -0.258975           -0.270850  \n",
       "Blocked Shots                      -0.221926           -0.265153  \n",
       "Giveaways                          -0.235979           -0.214611  \n",
       "Missed Shots                       -0.255810           -0.214873  \n",
       "Penalties                           0.394439            0.141274  \n",
       "#Won Faceoffs                      -0.267448           -0.263676  \n",
       "team_id                            -0.035959           -0.027887  \n",
       "timeOnIce                          -0.244028           -0.056308  \n",
       "evenTimeOnIce                      -0.704323           -0.704359  \n",
       "shortHandedTimeOnIce                1.000000            0.250102  \n",
       "powerPlayTimeOnIce                  0.250102            1.000000  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9113d618",
   "metadata": {},
   "source": [
    "<b>Correlation Heatmap</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "5055c3d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,8))\n",
    "sns.heatmap(data.corr())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a6fc416",
   "metadata": {},
   "source": [
    "<b>Rename some variables to keep naming conventions consistent<b/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "50fae73f",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.rename(columns={\"game_id\": \"gameID\",\"HoA\":\"hoa\",\"settled_in\":\"settledIn\",\"head_coach\":\"headCoach\",\n",
    "                            \"Shots\":\"shots\",\"Goals\":\"goals\",\"Takeaways\":\"takeaways\",\"Hits\":\"hits\",\n",
    "                             \"Blocked Shots\":\"blockedShots\",\"Giveaways\":\"giveaways\",\"Missed Shots\":\"missedShots\",\n",
    "                             \"#Won Faceoffs\":\"wonFaceoffs\",\"team_id\":\"teamID\",\n",
    "                             \"goalie_replacement\":\"goalieReplacement\",\"Penalties\":\"penalties\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "47d85cd1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 52610 entries, 0 to 52609\n",
      "Data columns (total 25 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   gameID                  52610 non-null  int64  \n",
      " 1   hoa                     52610 non-null  object \n",
      " 2   won                     52610 non-null  bool   \n",
      " 3   settledIn               52610 non-null  object \n",
      " 4   headCoach               52582 non-null  object \n",
      " 5   pim                     52602 non-null  float64\n",
      " 6   powerPlayOpportunities  52602 non-null  float64\n",
      " 7   powerPlayGoals          52602 non-null  float64\n",
      " 8   faceOffWinPercentage    30462 non-null  float64\n",
      " 9   startRinkSide           50218 non-null  object \n",
      " 10  shots                   52610 non-null  float64\n",
      " 11  goals                   52610 non-null  float64\n",
      " 12  takeaways               52610 non-null  float64\n",
      " 13  hits                    52610 non-null  float64\n",
      " 14  blockedShots            52610 non-null  float64\n",
      " 15  giveaways               52610 non-null  float64\n",
      " 16  missedShots             52610 non-null  float64\n",
      " 17  penalties               52610 non-null  float64\n",
      " 18  wonFaceoffs             52610 non-null  float64\n",
      " 19  teamID                  52582 non-null  float64\n",
      " 20  timeOnIce               52582 non-null  float64\n",
      " 21  evenTimeOnIce           52582 non-null  float64\n",
      " 22  shortHandedTimeOnIce    52582 non-null  float64\n",
      " 23  powerPlayTimeOnIce      52582 non-null  float64\n",
      " 24  goalieReplacement       52575 non-null  object \n",
      "dtypes: bool(1), float64(18), int64(1), object(5)\n",
      "memory usage: 9.7+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}