notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this project, I will explore and analyze the NBA league games.\n",
    "To do so, I will collect, concat, and clean various datasets in order to get meaningful insights that will help me understand how the league have changed thruoghout the past 16 years. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jupyterthemes.stylefx import set_nb_theme\n",
    "set_nb_theme('chesterish')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt \n",
    "import matplotlib.ticker as ticker\n",
    "import seaborn as sns \n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('nba_games.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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_DATE_EST</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>GAME_STATUS_TEXT</th>\n",
       "      <th>HOME_TEAM_ID</th>\n",
       "      <th>VISITOR_TEAM_ID</th>\n",
       "      <th>SEASON</th>\n",
       "      <th>TEAM_ID_home</th>\n",
       "      <th>PTS_home</th>\n",
       "      <th>FG_PCT_home</th>\n",
       "      <th>FT_PCT_home</th>\n",
       "      <th>...</th>\n",
       "      <th>AST_home</th>\n",
       "      <th>REB_home</th>\n",
       "      <th>TEAM_ID_away</th>\n",
       "      <th>PTS_away</th>\n",
       "      <th>FG_PCT_away</th>\n",
       "      <th>FT_PCT_away</th>\n",
       "      <th>FG3_PCT_away</th>\n",
       "      <th>AST_away</th>\n",
       "      <th>REB_away</th>\n",
       "      <th>HOME_TEAM_WINS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-12-19</td>\n",
       "      <td>12000047</td>\n",
       "      <td>Final</td>\n",
       "      <td>1610612753</td>\n",
       "      <td>1610612766</td>\n",
       "      <td>2020</td>\n",
       "      <td>1610612753</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.792</td>\n",
       "      <td>...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1610612766</td>\n",
       "      <td>117.0</td>\n",
       "      <td>0.444</td>\n",
       "      <td>0.864</td>\n",
       "      <td>0.439</td>\n",
       "      <td>21.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-12-19</td>\n",
       "      <td>12000048</td>\n",
       "      <td>Final</td>\n",
       "      <td>1610612764</td>\n",
       "      <td>1610612765</td>\n",
       "      <td>2020</td>\n",
       "      <td>1610612764</td>\n",
       "      <td>99.0</td>\n",
       "      <td>0.427</td>\n",
       "      <td>0.625</td>\n",
       "      <td>...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1610612765</td>\n",
       "      <td>96.0</td>\n",
       "      <td>0.402</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.326</td>\n",
       "      <td>18.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-12-19</td>\n",
       "      <td>12000049</td>\n",
       "      <td>Final</td>\n",
       "      <td>1610612763</td>\n",
       "      <td>1610612737</td>\n",
       "      <td>2020</td>\n",
       "      <td>1610612763</td>\n",
       "      <td>116.0</td>\n",
       "      <td>0.400</td>\n",
       "      <td>0.744</td>\n",
       "      <td>...</td>\n",
       "      <td>21.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1610612737</td>\n",
       "      <td>117.0</td>\n",
       "      <td>0.422</td>\n",
       "      <td>0.837</td>\n",
       "      <td>0.297</td>\n",
       "      <td>24.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-12-18</td>\n",
       "      <td>12000039</td>\n",
       "      <td>Final</td>\n",
       "      <td>1610612754</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>2020</td>\n",
       "      <td>1610612754</td>\n",
       "      <td>107.0</td>\n",
       "      <td>0.371</td>\n",
       "      <td>0.692</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>113.0</td>\n",
       "      <td>0.533</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.355</td>\n",
       "      <td>23.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-12-18</td>\n",
       "      <td>12000040</td>\n",
       "      <td>Final</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>1610612748</td>\n",
       "      <td>2020</td>\n",
       "      <td>1610612761</td>\n",
       "      <td>105.0</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.737</td>\n",
       "      <td>...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1610612748</td>\n",
       "      <td>117.0</td>\n",
       "      <td>0.534</td>\n",
       "      <td>0.741</td>\n",
       "      <td>0.514</td>\n",
       "      <td>30.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  GAME_DATE_EST   GAME_ID GAME_STATUS_TEXT  HOME_TEAM_ID  VISITOR_TEAM_ID  \\\n",
       "0    2020-12-19  12000047            Final    1610612753       1610612766   \n",
       "1    2020-12-19  12000048            Final    1610612764       1610612765   \n",
       "2    2020-12-19  12000049            Final    1610612763       1610612737   \n",
       "3    2020-12-18  12000039            Final    1610612754       1610612755   \n",
       "4    2020-12-18  12000040            Final    1610612761       1610612748   \n",
       "\n",
       "   SEASON  TEAM_ID_home  PTS_home  FG_PCT_home  FT_PCT_home  ...  AST_home  \\\n",
       "0    2020    1610612753     120.0        0.433        0.792  ...      23.0   \n",
       "1    2020    1610612764      99.0        0.427        0.625  ...      24.0   \n",
       "2    2020    1610612763     116.0        0.400        0.744  ...      21.0   \n",
       "3    2020    1610612754     107.0        0.371        0.692  ...      19.0   \n",
       "4    2020    1610612761     105.0        0.380        0.737  ...      27.0   \n",
       "\n",
       "   REB_home  TEAM_ID_away  PTS_away  FG_PCT_away  FT_PCT_away  FG3_PCT_away  \\\n",
       "0      50.0    1610612766     117.0        0.444        0.864         0.439   \n",
       "1      45.0    1610612765      96.0        0.402        0.647         0.326   \n",
       "2      43.0    1610612737     117.0        0.422        0.837         0.297   \n",
       "3      45.0    1610612755     113.0        0.533        0.629         0.355   \n",
       "4      37.0    1610612748     117.0        0.534        0.741         0.514   \n",
       "\n",
       "   AST_away  REB_away  HOME_TEAM_WINS  \n",
       "0      21.0      52.0               1  \n",
       "1      18.0      51.0               1  \n",
       "2      24.0      47.0               0  \n",
       "3      23.0      48.0               0  \n",
       "4      30.0      51.0               0  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 23520 entries, 0 to 23519\n",
      "Data columns (total 21 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   GAME_DATE_EST     23520 non-null  object \n",
      " 1   GAME_ID           23520 non-null  int64  \n",
      " 2   GAME_STATUS_TEXT  23520 non-null  object \n",
      " 3   HOME_TEAM_ID      23520 non-null  int64  \n",
      " 4   VISITOR_TEAM_ID   23520 non-null  int64  \n",
      " 5   SEASON            23520 non-null  int64  \n",
      " 6   TEAM_ID_home      23520 non-null  int64  \n",
      " 7   PTS_home          23421 non-null  float64\n",
      " 8   FG_PCT_home       23421 non-null  float64\n",
      " 9   FT_PCT_home       23421 non-null  float64\n",
      " 10  FG3_PCT_home      23421 non-null  float64\n",
      " 11  AST_home          23421 non-null  float64\n",
      " 12  REB_home          23421 non-null  float64\n",
      " 13  TEAM_ID_away      23520 non-null  int64  \n",
      " 14  PTS_away          23421 non-null  float64\n",
      " 15  FG_PCT_away       23421 non-null  float64\n",
      " 16  FT_PCT_away       23421 non-null  float64\n",
      " 17  FG3_PCT_away      23421 non-null  float64\n",
      " 18  AST_away          23421 non-null  float64\n",
      " 19  REB_away          23421 non-null  float64\n",
      " 20  HOME_TEAM_WINS    23520 non-null  int64  \n",
      "dtypes: float64(12), int64(7), object(2)\n",
      "memory usage: 3.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see there are quite alot of columns with the same amount of null values. Lets check where exactly this null values are in the columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,6))\n",
    "sns.heatmap(df.isna())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All the null values are in importatnt columns, so I can't analyze anything from these rows. \n",
    "\n",
    "Lets see if these null rows are connected somehow by their date. \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2003-10-24', '2003-10-23', '2003-10-22', '2003-10-21',\n",
       "       '2003-10-20', '2003-10-19', '2003-10-18', '2003-10-17',\n",
       "       '2003-10-16', '2003-10-15', '2003-10-14', '2003-10-13',\n",
       "       '2003-10-12', '2003-10-11', '2003-10-10', '2003-10-09',\n",
       "       '2003-10-08', '2003-10-07'], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.isna().any(axis=1)]['GAME_DATE_EST'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From a quick check on the internet, the NBA 2003/2004 season began on 28th October, 2003.\n",
    "\n",
    "Therefore, these games never happend and it must be a mistake in the dataset. Lets remove those null rows. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'seasons'), Text(0.5, 1.0, 'season distributions')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Lets check whether the data is evenly distributed\n",
    "\n",
    "fig = plt.figure(figsize=(12, 6))\n",
    "\n",
    "season_distribution = sns.histplot(df['SEASON'],bins=35, kde=False)\n",
    "season_distribution.set(xlabel='seasons', title='season distributions')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see there is mostly even variance of games documented in the dataset, so there is no worry that will be any bias due to one specific season."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df['SEASON'] != 2020]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='HOME_TEAM_WINS', ylabel='count'>"
      ]
     },
     "execution_count": 10,
     "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": [
    "sns.countplot(data=df, x='HOME_TEAM_WINS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>SEASON</th>\n",
       "      <th>PTS_home</th>\n",
       "      <th>FG_PCT_home</th>\n",
       "      <th>FT_PCT_home</th>\n",
       "      <th>FG3_PCT_home</th>\n",
       "      <th>AST_home</th>\n",
       "      <th>REB_home</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2003</td>\n",
       "      <td>94.907465</td>\n",
       "      <td>0.445108</td>\n",
       "      <td>0.748642</td>\n",
       "      <td>0.342993</td>\n",
       "      <td>22.056765</td>\n",
       "      <td>43.173406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004</td>\n",
       "      <td>98.604993</td>\n",
       "      <td>0.454632</td>\n",
       "      <td>0.756231</td>\n",
       "      <td>0.354970</td>\n",
       "      <td>21.928781</td>\n",
       "      <td>42.533040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005</td>\n",
       "      <td>98.406425</td>\n",
       "      <td>0.460089</td>\n",
       "      <td>0.744709</td>\n",
       "      <td>0.350063</td>\n",
       "      <td>21.152235</td>\n",
       "      <td>41.799581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2006</td>\n",
       "      <td>99.849190</td>\n",
       "      <td>0.462074</td>\n",
       "      <td>0.748553</td>\n",
       "      <td>0.353187</td>\n",
       "      <td>22.004933</td>\n",
       "      <td>41.609584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>101.273565</td>\n",
       "      <td>0.463230</td>\n",
       "      <td>0.757163</td>\n",
       "      <td>0.359906</td>\n",
       "      <td>22.496811</td>\n",
       "      <td>42.702339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008</td>\n",
       "      <td>100.922807</td>\n",
       "      <td>0.463702</td>\n",
       "      <td>0.766348</td>\n",
       "      <td>0.363791</td>\n",
       "      <td>21.588070</td>\n",
       "      <td>41.960000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2009</td>\n",
       "      <td>101.654494</td>\n",
       "      <td>0.465970</td>\n",
       "      <td>0.757674</td>\n",
       "      <td>0.349756</td>\n",
       "      <td>21.884831</td>\n",
       "      <td>42.205758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010</td>\n",
       "      <td>100.756681</td>\n",
       "      <td>0.463857</td>\n",
       "      <td>0.763982</td>\n",
       "      <td>0.355870</td>\n",
       "      <td>21.976090</td>\n",
       "      <td>41.908579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2011</td>\n",
       "      <td>97.392210</td>\n",
       "      <td>0.453630</td>\n",
       "      <td>0.753493</td>\n",
       "      <td>0.344514</td>\n",
       "      <td>21.380435</td>\n",
       "      <td>42.860507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2012</td>\n",
       "      <td>99.381690</td>\n",
       "      <td>0.458730</td>\n",
       "      <td>0.749131</td>\n",
       "      <td>0.363454</td>\n",
       "      <td>22.605634</td>\n",
       "      <td>42.756338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2013</td>\n",
       "      <td>101.735109</td>\n",
       "      <td>0.459461</td>\n",
       "      <td>0.760149</td>\n",
       "      <td>0.356167</td>\n",
       "      <td>22.339173</td>\n",
       "      <td>43.257884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2014</td>\n",
       "      <td>101.095205</td>\n",
       "      <td>0.453162</td>\n",
       "      <td>0.749833</td>\n",
       "      <td>0.349737</td>\n",
       "      <td>22.509873</td>\n",
       "      <td>43.878702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2015</td>\n",
       "      <td>103.712571</td>\n",
       "      <td>0.456017</td>\n",
       "      <td>0.760061</td>\n",
       "      <td>0.354558</td>\n",
       "      <td>22.625706</td>\n",
       "      <td>44.355932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016</td>\n",
       "      <td>106.916014</td>\n",
       "      <td>0.463353</td>\n",
       "      <td>0.770244</td>\n",
       "      <td>0.364737</td>\n",
       "      <td>23.288256</td>\n",
       "      <td>44.048399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2017</td>\n",
       "      <td>107.219971</td>\n",
       "      <td>0.465244</td>\n",
       "      <td>0.766290</td>\n",
       "      <td>0.360936</td>\n",
       "      <td>23.634588</td>\n",
       "      <td>44.117221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2018</td>\n",
       "      <td>112.301887</td>\n",
       "      <td>0.464680</td>\n",
       "      <td>0.766860</td>\n",
       "      <td>0.356792</td>\n",
       "      <td>24.961538</td>\n",
       "      <td>45.883164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2019</td>\n",
       "      <td>112.274778</td>\n",
       "      <td>0.463043</td>\n",
       "      <td>0.769757</td>\n",
       "      <td>0.359782</td>\n",
       "      <td>24.710717</td>\n",
       "      <td>45.438356</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    SEASON    PTS_home  FG_PCT_home  FT_PCT_home  FG3_PCT_home   AST_home  \\\n",
       "0     2003   94.907465     0.445108     0.748642      0.342993  22.056765   \n",
       "1     2004   98.604993     0.454632     0.756231      0.354970  21.928781   \n",
       "2     2005   98.406425     0.460089     0.744709      0.350063  21.152235   \n",
       "3     2006   99.849190     0.462074     0.748553      0.353187  22.004933   \n",
       "4     2007  101.273565     0.463230     0.757163      0.359906  22.496811   \n",
       "5     2008  100.922807     0.463702     0.766348      0.363791  21.588070   \n",
       "6     2009  101.654494     0.465970     0.757674      0.349756  21.884831   \n",
       "7     2010  100.756681     0.463857     0.763982      0.355870  21.976090   \n",
       "8     2011   97.392210     0.453630     0.753493      0.344514  21.380435   \n",
       "9     2012   99.381690     0.458730     0.749131      0.363454  22.605634   \n",
       "10    2013  101.735109     0.459461     0.760149      0.356167  22.339173   \n",
       "11    2014  101.095205     0.453162     0.749833      0.349737  22.509873   \n",
       "12    2015  103.712571     0.456017     0.760061      0.354558  22.625706   \n",
       "13    2016  106.916014     0.463353     0.770244      0.364737  23.288256   \n",
       "14    2017  107.219971     0.465244     0.766290      0.360936  23.634588   \n",
       "15    2018  112.301887     0.464680     0.766860      0.356792  24.961538   \n",
       "16    2019  112.274778     0.463043     0.769757      0.359782  24.710717   \n",
       "\n",
       "     REB_home  \n",
       "0   43.173406  \n",
       "1   42.533040  \n",
       "2   41.799581  \n",
       "3   41.609584  \n",
       "4   42.702339  \n",
       "5   41.960000  \n",
       "6   42.205758  \n",
       "7   41.908579  \n",
       "8   42.860507  \n",
       "9   42.756338  \n",
       "10  43.257884  \n",
       "11  43.878702  \n",
       "12  44.355932  \n",
       "13  44.048399  \n",
       "14  44.117221  \n",
       "15  45.883164  \n",
       "16  45.438356  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "home_seasons_df = df.groupby('SEASON')[['PTS_home', 'FG_PCT_home', 'FT_PCT_home', 'FG3_PCT_home', 'AST_home', 'REB_home']].mean().reset_index()\n",
    "home_seasons_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For me, the first thing that pops out is the fact there is not any major difference between the seasons for most columns.\n",
    "The exception is column of points scored, lets plot it out. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x103abd60>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "\n",
    "\n",
    "plt.plot(home_seasons_df['SEASON'], home_seasons_df['PTS_home'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets see what happens for the away teams. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>SEASON</th>\n",
       "      <th>PTS_away</th>\n",
       "      <th>FG_PCT_away</th>\n",
       "      <th>FT_PCT_away</th>\n",
       "      <th>FG3_PCT_away</th>\n",
       "      <th>AST_away</th>\n",
       "      <th>REB_away</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2003</td>\n",
       "      <td>91.092535</td>\n",
       "      <td>0.431240</td>\n",
       "      <td>0.750990</td>\n",
       "      <td>0.330227</td>\n",
       "      <td>20.262053</td>\n",
       "      <td>41.241058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004</td>\n",
       "      <td>95.381791</td>\n",
       "      <td>0.441678</td>\n",
       "      <td>0.752280</td>\n",
       "      <td>0.346637</td>\n",
       "      <td>20.240088</td>\n",
       "      <td>41.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005</td>\n",
       "      <td>95.172486</td>\n",
       "      <td>0.448051</td>\n",
       "      <td>0.742950</td>\n",
       "      <td>0.355920</td>\n",
       "      <td>19.689944</td>\n",
       "      <td>39.972067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2006</td>\n",
       "      <td>96.944327</td>\n",
       "      <td>0.450718</td>\n",
       "      <td>0.748125</td>\n",
       "      <td>0.348088</td>\n",
       "      <td>20.223397</td>\n",
       "      <td>40.442565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>97.549256</td>\n",
       "      <td>0.448358</td>\n",
       "      <td>0.752360</td>\n",
       "      <td>0.352690</td>\n",
       "      <td>20.579022</td>\n",
       "      <td>41.146704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008</td>\n",
       "      <td>97.903860</td>\n",
       "      <td>0.451627</td>\n",
       "      <td>0.767012</td>\n",
       "      <td>0.357941</td>\n",
       "      <td>20.002105</td>\n",
       "      <td>40.530526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2009</td>\n",
       "      <td>98.745787</td>\n",
       "      <td>0.456085</td>\n",
       "      <td>0.754971</td>\n",
       "      <td>0.350468</td>\n",
       "      <td>20.259831</td>\n",
       "      <td>41.030899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010</td>\n",
       "      <td>97.384669</td>\n",
       "      <td>0.450444</td>\n",
       "      <td>0.759762</td>\n",
       "      <td>0.348895</td>\n",
       "      <td>20.533052</td>\n",
       "      <td>40.860759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2011</td>\n",
       "      <td>94.429348</td>\n",
       "      <td>0.441467</td>\n",
       "      <td>0.751953</td>\n",
       "      <td>0.338460</td>\n",
       "      <td>20.115036</td>\n",
       "      <td>41.421196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2012</td>\n",
       "      <td>96.114085</td>\n",
       "      <td>0.445188</td>\n",
       "      <td>0.754877</td>\n",
       "      <td>0.343558</td>\n",
       "      <td>21.218310</td>\n",
       "      <td>41.549296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2013</td>\n",
       "      <td>99.261388</td>\n",
       "      <td>0.448231</td>\n",
       "      <td>0.750134</td>\n",
       "      <td>0.355179</td>\n",
       "      <td>21.231955</td>\n",
       "      <td>42.121934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2014</td>\n",
       "      <td>98.815233</td>\n",
       "      <td>0.444427</td>\n",
       "      <td>0.746494</td>\n",
       "      <td>0.343415</td>\n",
       "      <td>21.438646</td>\n",
       "      <td>42.813117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2015</td>\n",
       "      <td>100.764831</td>\n",
       "      <td>0.445407</td>\n",
       "      <td>0.754807</td>\n",
       "      <td>0.345960</td>\n",
       "      <td>21.460452</td>\n",
       "      <td>43.291667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016</td>\n",
       "      <td>103.805694</td>\n",
       "      <td>0.450683</td>\n",
       "      <td>0.769604</td>\n",
       "      <td>0.345784</td>\n",
       "      <td>21.804982</td>\n",
       "      <td>42.974377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2017</td>\n",
       "      <td>104.925470</td>\n",
       "      <td>0.455062</td>\n",
       "      <td>0.766532</td>\n",
       "      <td>0.359355</td>\n",
       "      <td>22.643271</td>\n",
       "      <td>42.884226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2018</td>\n",
       "      <td>109.565312</td>\n",
       "      <td>0.454389</td>\n",
       "      <td>0.767008</td>\n",
       "      <td>0.350832</td>\n",
       "      <td>23.883164</td>\n",
       "      <td>44.565312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2019</td>\n",
       "      <td>110.466559</td>\n",
       "      <td>0.455907</td>\n",
       "      <td>0.771137</td>\n",
       "      <td>0.353089</td>\n",
       "      <td>23.791297</td>\n",
       "      <td>44.197421</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    SEASON    PTS_away  FG_PCT_away  FT_PCT_away  FG3_PCT_away   AST_away  \\\n",
       "0     2003   91.092535     0.431240     0.750990      0.330227  20.262053   \n",
       "1     2004   95.381791     0.441678     0.752280      0.346637  20.240088   \n",
       "2     2005   95.172486     0.448051     0.742950      0.355920  19.689944   \n",
       "3     2006   96.944327     0.450718     0.748125      0.348088  20.223397   \n",
       "4     2007   97.549256     0.448358     0.752360      0.352690  20.579022   \n",
       "5     2008   97.903860     0.451627     0.767012      0.357941  20.002105   \n",
       "6     2009   98.745787     0.456085     0.754971      0.350468  20.259831   \n",
       "7     2010   97.384669     0.450444     0.759762      0.348895  20.533052   \n",
       "8     2011   94.429348     0.441467     0.751953      0.338460  20.115036   \n",
       "9     2012   96.114085     0.445188     0.754877      0.343558  21.218310   \n",
       "10    2013   99.261388     0.448231     0.750134      0.355179  21.231955   \n",
       "11    2014   98.815233     0.444427     0.746494      0.343415  21.438646   \n",
       "12    2015  100.764831     0.445407     0.754807      0.345960  21.460452   \n",
       "13    2016  103.805694     0.450683     0.769604      0.345784  21.804982   \n",
       "14    2017  104.925470     0.455062     0.766532      0.359355  22.643271   \n",
       "15    2018  109.565312     0.454389     0.767008      0.350832  23.883164   \n",
       "16    2019  110.466559     0.455907     0.771137      0.353089  23.791297   \n",
       "\n",
       "     REB_away  \n",
       "0   41.241058  \n",
       "1   41.000000  \n",
       "2   39.972067  \n",
       "3   40.442565  \n",
       "4   41.146704  \n",
       "5   40.530526  \n",
       "6   41.030899  \n",
       "7   40.860759  \n",
       "8   41.421196  \n",
       "9   41.549296  \n",
       "10  42.121934  \n",
       "11  42.813117  \n",
       "12  43.291667  \n",
       "13  42.974377  \n",
       "14  42.884226  \n",
       "15  44.565312  \n",
       "16  44.197421  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "away_seasons_df = df.groupby('SEASON')[['PTS_away', 'FG_PCT_away', 'FT_PCT_away', 'FG3_PCT_away', 'AST_away', 'REB_away']].mean().reset_index()\n",
    "away_seasons_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x103e9bb0>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,6))\n",
    "\n",
    "\n",
    "plt.plot(away_seasons_df['SEASON'],away_seasons_df['PTS_away'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same pattren. There is moderate increase in points scored.\n",
    "\n",
    "i will now conduct some research online to realise if there any explanation for this pattern.\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets see in another dataset that calculates averages of many different parameters for each season.\n",
    "I will make technical adjustments in order to make this new dataframe readable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-22-470e1186dc8b>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  nba_site_df.dropna(inplace=True, axis=0, subset=['Season'])\n"
     ]
    }
   ],
   "source": [
    "nba_site = pd.read_html('https://www.basketball-reference.com/leagues/NBA_stats_per_game.html')\n",
    "nba_site_df = nba_site[0]\n",
    "nba_site_df.columns = nba_site_df.columns.droplevel()\n",
    "nba_site_df = nba_site_df[nba_site_df['Season'] != 'Season']\n",
    "nba_site_df.dropna(inplace=True, axis=0, subset=['Season'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_string(x):\n",
    "    x = str(x)\n",
    "    l = x.split('-')\n",
    "    return int(l[0]) + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-24-982e2091992a>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  nba_site_df['Season'] = nba_site_df['Season'].apply(split_string)\n"
     ]
    }
   ],
   "source": [
    "#Lets take into consideration only the years we have in the previous DataFrame. \n",
    "\n",
    "nba_site_df['Season'] = nba_site_df['Season'].apply(split_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>Season</th>\n",
       "      <th>Lg</th>\n",
       "      <th>Age</th>\n",
       "      <th>Ht</th>\n",
       "      <th>Wt</th>\n",
       "      <th>G</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>3P</th>\n",
       "      <th>...</th>\n",
       "      <th>PTS</th>\n",
       "      <th>FG%</th>\n",
       "      <th>3P%</th>\n",
       "      <th>FT%</th>\n",
       "      <th>Pace</th>\n",
       "      <th>eFG%</th>\n",
       "      <th>TOV%</th>\n",
       "      <th>ORB%</th>\n",
       "      <th>FT/FGA</th>\n",
       "      <th>ORtg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2003</td>\n",
       "      <td>NBA</td>\n",
       "      <td>27.2</td>\n",
       "      <td>6-7</td>\n",
       "      <td>219</td>\n",
       "      <td>1189</td>\n",
       "      <td>242.0</td>\n",
       "      <td>35.7</td>\n",
       "      <td>80.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>...</td>\n",
       "      <td>95.1</td>\n",
       "      <td>.442</td>\n",
       "      <td>.349</td>\n",
       "      <td>.758</td>\n",
       "      <td>91.0</td>\n",
       "      <td>.474</td>\n",
       "      <td>14.0</td>\n",
       "      <td>28.5</td>\n",
       "      <td>.229</td>\n",
       "      <td>103.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004</td>\n",
       "      <td>NBA</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6-7</td>\n",
       "      <td>220</td>\n",
       "      <td>1189</td>\n",
       "      <td>241.7</td>\n",
       "      <td>35.0</td>\n",
       "      <td>79.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>...</td>\n",
       "      <td>93.4</td>\n",
       "      <td>.439</td>\n",
       "      <td>.347</td>\n",
       "      <td>.752</td>\n",
       "      <td>90.1</td>\n",
       "      <td>.471</td>\n",
       "      <td>14.2</td>\n",
       "      <td>28.6</td>\n",
       "      <td>.228</td>\n",
       "      <td>102.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.9</td>\n",
       "      <td>6-7</td>\n",
       "      <td>220</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.9</td>\n",
       "      <td>35.9</td>\n",
       "      <td>80.3</td>\n",
       "      <td>5.6</td>\n",
       "      <td>...</td>\n",
       "      <td>97.2</td>\n",
       "      <td>.447</td>\n",
       "      <td>.356</td>\n",
       "      <td>.756</td>\n",
       "      <td>90.9</td>\n",
       "      <td>.482</td>\n",
       "      <td>13.6</td>\n",
       "      <td>28.7</td>\n",
       "      <td>.245</td>\n",
       "      <td>106.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2006</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.5</td>\n",
       "      <td>6-7</td>\n",
       "      <td>220</td>\n",
       "      <td>1230</td>\n",
       "      <td>242.1</td>\n",
       "      <td>35.8</td>\n",
       "      <td>79.0</td>\n",
       "      <td>5.7</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>.454</td>\n",
       "      <td>.358</td>\n",
       "      <td>.745</td>\n",
       "      <td>90.5</td>\n",
       "      <td>.490</td>\n",
       "      <td>13.7</td>\n",
       "      <td>27.3</td>\n",
       "      <td>.248</td>\n",
       "      <td>106.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.6</td>\n",
       "      <td>6-7</td>\n",
       "      <td>219</td>\n",
       "      <td>1230</td>\n",
       "      <td>242.2</td>\n",
       "      <td>36.5</td>\n",
       "      <td>79.7</td>\n",
       "      <td>6.1</td>\n",
       "      <td>...</td>\n",
       "      <td>98.7</td>\n",
       "      <td>.458</td>\n",
       "      <td>.358</td>\n",
       "      <td>.752</td>\n",
       "      <td>91.9</td>\n",
       "      <td>.496</td>\n",
       "      <td>14.2</td>\n",
       "      <td>27.1</td>\n",
       "      <td>.246</td>\n",
       "      <td>106.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.8</td>\n",
       "      <td>6-7</td>\n",
       "      <td>220</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.5</td>\n",
       "      <td>37.3</td>\n",
       "      <td>81.5</td>\n",
       "      <td>6.6</td>\n",
       "      <td>...</td>\n",
       "      <td>99.9</td>\n",
       "      <td>.457</td>\n",
       "      <td>.362</td>\n",
       "      <td>.755</td>\n",
       "      <td>92.4</td>\n",
       "      <td>.497</td>\n",
       "      <td>13.2</td>\n",
       "      <td>26.7</td>\n",
       "      <td>.231</td>\n",
       "      <td>107.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2009</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.6</td>\n",
       "      <td>6-7</td>\n",
       "      <td>221</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.7</td>\n",
       "      <td>37.1</td>\n",
       "      <td>80.9</td>\n",
       "      <td>6.6</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>.459</td>\n",
       "      <td>.367</td>\n",
       "      <td>.771</td>\n",
       "      <td>91.7</td>\n",
       "      <td>.500</td>\n",
       "      <td>13.3</td>\n",
       "      <td>26.7</td>\n",
       "      <td>.236</td>\n",
       "      <td>108.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.6</td>\n",
       "      <td>6-7</td>\n",
       "      <td>222</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.7</td>\n",
       "      <td>37.7</td>\n",
       "      <td>81.7</td>\n",
       "      <td>6.4</td>\n",
       "      <td>...</td>\n",
       "      <td>100.4</td>\n",
       "      <td>.461</td>\n",
       "      <td>.355</td>\n",
       "      <td>.759</td>\n",
       "      <td>92.7</td>\n",
       "      <td>.501</td>\n",
       "      <td>13.3</td>\n",
       "      <td>26.3</td>\n",
       "      <td>.228</td>\n",
       "      <td>107.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2011</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.6</td>\n",
       "      <td>6-7</td>\n",
       "      <td>223</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.9</td>\n",
       "      <td>37.2</td>\n",
       "      <td>81.2</td>\n",
       "      <td>6.5</td>\n",
       "      <td>...</td>\n",
       "      <td>99.6</td>\n",
       "      <td>.459</td>\n",
       "      <td>.358</td>\n",
       "      <td>.763</td>\n",
       "      <td>92.1</td>\n",
       "      <td>.498</td>\n",
       "      <td>13.4</td>\n",
       "      <td>26.4</td>\n",
       "      <td>.229</td>\n",
       "      <td>107.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2012</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.6</td>\n",
       "      <td>6-7</td>\n",
       "      <td>223</td>\n",
       "      <td>990</td>\n",
       "      <td>241.9</td>\n",
       "      <td>36.5</td>\n",
       "      <td>81.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>...</td>\n",
       "      <td>96.3</td>\n",
       "      <td>.448</td>\n",
       "      <td>.349</td>\n",
       "      <td>.752</td>\n",
       "      <td>91.3</td>\n",
       "      <td>.487</td>\n",
       "      <td>13.8</td>\n",
       "      <td>27.0</td>\n",
       "      <td>.208</td>\n",
       "      <td>104.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2013</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.7</td>\n",
       "      <td>6-7</td>\n",
       "      <td>223</td>\n",
       "      <td>1229</td>\n",
       "      <td>241.9</td>\n",
       "      <td>37.1</td>\n",
       "      <td>82.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>...</td>\n",
       "      <td>98.1</td>\n",
       "      <td>.453</td>\n",
       "      <td>.359</td>\n",
       "      <td>.753</td>\n",
       "      <td>92.0</td>\n",
       "      <td>.496</td>\n",
       "      <td>13.7</td>\n",
       "      <td>26.5</td>\n",
       "      <td>.204</td>\n",
       "      <td>105.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2014</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.5</td>\n",
       "      <td>6-7</td>\n",
       "      <td>223</td>\n",
       "      <td>1230</td>\n",
       "      <td>242.0</td>\n",
       "      <td>37.7</td>\n",
       "      <td>83.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>...</td>\n",
       "      <td>101.0</td>\n",
       "      <td>.454</td>\n",
       "      <td>.360</td>\n",
       "      <td>.756</td>\n",
       "      <td>93.9</td>\n",
       "      <td>.501</td>\n",
       "      <td>13.6</td>\n",
       "      <td>25.5</td>\n",
       "      <td>.215</td>\n",
       "      <td>106.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2015</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.7</td>\n",
       "      <td>6-7</td>\n",
       "      <td>223</td>\n",
       "      <td>1230</td>\n",
       "      <td>242.0</td>\n",
       "      <td>37.5</td>\n",
       "      <td>83.6</td>\n",
       "      <td>7.8</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>.449</td>\n",
       "      <td>.350</td>\n",
       "      <td>.750</td>\n",
       "      <td>93.9</td>\n",
       "      <td>.496</td>\n",
       "      <td>13.3</td>\n",
       "      <td>25.1</td>\n",
       "      <td>.205</td>\n",
       "      <td>105.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.7</td>\n",
       "      <td>6-7</td>\n",
       "      <td>222</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.8</td>\n",
       "      <td>38.2</td>\n",
       "      <td>84.6</td>\n",
       "      <td>8.5</td>\n",
       "      <td>...</td>\n",
       "      <td>102.7</td>\n",
       "      <td>.452</td>\n",
       "      <td>.354</td>\n",
       "      <td>.757</td>\n",
       "      <td>95.8</td>\n",
       "      <td>.502</td>\n",
       "      <td>13.2</td>\n",
       "      <td>23.8</td>\n",
       "      <td>.209</td>\n",
       "      <td>106.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2017</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.6</td>\n",
       "      <td>6-7</td>\n",
       "      <td>221</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.6</td>\n",
       "      <td>39.0</td>\n",
       "      <td>85.4</td>\n",
       "      <td>9.7</td>\n",
       "      <td>...</td>\n",
       "      <td>105.6</td>\n",
       "      <td>.457</td>\n",
       "      <td>.358</td>\n",
       "      <td>.772</td>\n",
       "      <td>96.4</td>\n",
       "      <td>.514</td>\n",
       "      <td>12.7</td>\n",
       "      <td>23.3</td>\n",
       "      <td>.209</td>\n",
       "      <td>108.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2018</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.4</td>\n",
       "      <td>6-7</td>\n",
       "      <td>220</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.4</td>\n",
       "      <td>39.6</td>\n",
       "      <td>86.1</td>\n",
       "      <td>10.5</td>\n",
       "      <td>...</td>\n",
       "      <td>106.3</td>\n",
       "      <td>.460</td>\n",
       "      <td>.362</td>\n",
       "      <td>.767</td>\n",
       "      <td>97.3</td>\n",
       "      <td>.521</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.3</td>\n",
       "      <td>.193</td>\n",
       "      <td>108.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2019</td>\n",
       "      <td>NBA</td>\n",
       "      <td>26.3</td>\n",
       "      <td>6-6</td>\n",
       "      <td>219</td>\n",
       "      <td>1230</td>\n",
       "      <td>241.6</td>\n",
       "      <td>41.1</td>\n",
       "      <td>89.2</td>\n",
       "      <td>11.4</td>\n",
       "      <td>...</td>\n",
       "      <td>111.2</td>\n",
       "      <td>.461</td>\n",
       "      <td>.355</td>\n",
       "      <td>.766</td>\n",
       "      <td>100.0</td>\n",
       "      <td>.524</td>\n",
       "      <td>12.4</td>\n",
       "      <td>22.9</td>\n",
       "      <td>.198</td>\n",
       "      <td>110.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Season   Lg   Age   Ht   Wt     G     MP    FG   FGA    3P  ...    PTS  \\\n",
       "0     2003  NBA  27.2  6-7  219  1189  242.0  35.7  80.8   5.1  ...   95.1   \n",
       "1     2004  NBA  27.0  6-7  220  1189  241.7  35.0  79.8   5.2  ...   93.4   \n",
       "2     2005  NBA  26.9  6-7  220  1230  241.9  35.9  80.3   5.6  ...   97.2   \n",
       "3     2006  NBA  26.5  6-7  220  1230  242.1  35.8  79.0   5.7  ...   97.0   \n",
       "4     2007  NBA  26.6  6-7  219  1230  242.2  36.5  79.7   6.1  ...   98.7   \n",
       "5     2008  NBA  26.8  6-7  220  1230  241.5  37.3  81.5   6.6  ...   99.9   \n",
       "6     2009  NBA  26.6  6-7  221  1230  241.7  37.1  80.9   6.6  ...  100.0   \n",
       "7     2010  NBA  26.6  6-7  222  1230  241.7  37.7  81.7   6.4  ...  100.4   \n",
       "8     2011  NBA  26.6  6-7  223  1230  241.9  37.2  81.2   6.5  ...   99.6   \n",
       "9     2012  NBA  26.6  6-7  223   990  241.9  36.5  81.4   6.4  ...   96.3   \n",
       "10    2013  NBA  26.7  6-7  223  1229  241.9  37.1  82.0   7.2  ...   98.1   \n",
       "11    2014  NBA  26.5  6-7  223  1230  242.0  37.7  83.0   7.7  ...  101.0   \n",
       "12    2015  NBA  26.7  6-7  223  1230  242.0  37.5  83.6   7.8  ...  100.0   \n",
       "13    2016  NBA  26.7  6-7  222  1230  241.8  38.2  84.6   8.5  ...  102.7   \n",
       "14    2017  NBA  26.6  6-7  221  1230  241.6  39.0  85.4   9.7  ...  105.6   \n",
       "15    2018  NBA  26.4  6-7  220  1230  241.4  39.6  86.1  10.5  ...  106.3   \n",
       "16    2019  NBA  26.3  6-6  219  1230  241.6  41.1  89.2  11.4  ...  111.2   \n",
       "\n",
       "     FG%   3P%   FT%   Pace  eFG%  TOV%  ORB% FT/FGA   ORtg  \n",
       "0   .442  .349  .758   91.0  .474  14.0  28.5   .229  103.6  \n",
       "1   .439  .347  .752   90.1  .471  14.2  28.6   .228  102.9  \n",
       "2   .447  .356  .756   90.9  .482  13.6  28.7   .245  106.1  \n",
       "3   .454  .358  .745   90.5  .490  13.7  27.3   .248  106.2  \n",
       "4   .458  .358  .752   91.9  .496  14.2  27.1   .246  106.5  \n",
       "5   .457  .362  .755   92.4  .497  13.2  26.7   .231  107.5  \n",
       "6   .459  .367  .771   91.7  .500  13.3  26.7   .236  108.3  \n",
       "7   .461  .355  .759   92.7  .501  13.3  26.3   .228  107.6  \n",
       "8   .459  .358  .763   92.1  .498  13.4  26.4   .229  107.3  \n",
       "9   .448  .349  .752   91.3  .487  13.8  27.0   .208  104.6  \n",
       "10  .453  .359  .753   92.0  .496  13.7  26.5   .204  105.8  \n",
       "11  .454  .360  .756   93.9  .501  13.6  25.5   .215  106.6  \n",
       "12  .449  .350  .750   93.9  .496  13.3  25.1   .205  105.6  \n",
       "13  .452  .354  .757   95.8  .502  13.2  23.8   .209  106.4  \n",
       "14  .457  .358  .772   96.4  .514  12.7  23.3   .209  108.8  \n",
       "15  .460  .362  .767   97.3  .521  13.0  22.3   .193  108.6  \n",
       "16  .461  .355  .766  100.0  .524  12.4  22.9   .198  110.4  \n",
       "\n",
       "[17 rows x 31 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba_site_df = nba_site_df[nba_site_df['Season'].isin(range(2003,2020))]\n",
    "nba_site_df = nba_site_df.reindex(index=nba_site_df.index[::-1]).reset_index()\n",
    "nba_site_df = nba_site_df.reset_index()\n",
    "nba_site_df.drop(['level_0', 'index', 'Rk'], axis=1, inplace=True)\n",
    "nba_site_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the research i have conducted in the internet and after and examination of this new DataFrame i've scraped, i can see that above all there is two big factors that correlates perfectly with steep rise of the points in the past 16 seasons. \n",
    "They also tend to be considered as the main catalyzes of this in-game increasing points scored phenomenon.\n",
    "\n",
    "the increasing in three pointer attempts during games is part of  an improved analytical skills revolution of nba teams that took place mostly from the start of last decade.\n",
    "This made this phnomenon become more noticable in the past few years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>Season</th>\n",
       "      <th>PTS</th>\n",
       "      <th>Pace</th>\n",
       "      <th>3PA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2003</td>\n",
       "      <td>95.1</td>\n",
       "      <td>91.0</td>\n",
       "      <td>14.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004</td>\n",
       "      <td>93.4</td>\n",
       "      <td>90.1</td>\n",
       "      <td>14.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2005</td>\n",
       "      <td>97.2</td>\n",
       "      <td>90.9</td>\n",
       "      <td>15.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2006</td>\n",
       "      <td>97.0</td>\n",
       "      <td>90.5</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>98.7</td>\n",
       "      <td>91.9</td>\n",
       "      <td>16.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008</td>\n",
       "      <td>99.9</td>\n",
       "      <td>92.4</td>\n",
       "      <td>18.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2009</td>\n",
       "      <td>100.0</td>\n",
       "      <td>91.7</td>\n",
       "      <td>18.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010</td>\n",
       "      <td>100.4</td>\n",
       "      <td>92.7</td>\n",
       "      <td>18.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2011</td>\n",
       "      <td>99.6</td>\n",
       "      <td>92.1</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2012</td>\n",
       "      <td>96.3</td>\n",
       "      <td>91.3</td>\n",
       "      <td>18.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2013</td>\n",
       "      <td>98.1</td>\n",
       "      <td>92.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2014</td>\n",
       "      <td>101.0</td>\n",
       "      <td>93.9</td>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2015</td>\n",
       "      <td>100.0</td>\n",
       "      <td>93.9</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2016</td>\n",
       "      <td>102.7</td>\n",
       "      <td>95.8</td>\n",
       "      <td>24.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2017</td>\n",
       "      <td>105.6</td>\n",
       "      <td>96.4</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2018</td>\n",
       "      <td>106.3</td>\n",
       "      <td>97.3</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2019</td>\n",
       "      <td>111.2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Season    PTS   Pace   3PA\n",
       "0     2003   95.1   91.0  14.7\n",
       "1     2004   93.4   90.1  14.9\n",
       "2     2005   97.2   90.9  15.8\n",
       "3     2006   97.0   90.5  16.0\n",
       "4     2007   98.7   91.9  16.9\n",
       "5     2008   99.9   92.4  18.1\n",
       "6     2009  100.0   91.7  18.1\n",
       "7     2010  100.4   92.7  18.1\n",
       "8     2011   99.6   92.1  18.0\n",
       "9     2012   96.3   91.3  18.4\n",
       "10    2013   98.1   92.0  20.0\n",
       "11    2014  101.0   93.9  21.5\n",
       "12    2015  100.0   93.9  22.4\n",
       "13    2016  102.7   95.8  24.1\n",
       "14    2017  105.6   96.4  27.0\n",
       "15    2018  106.3   97.3  29.0\n",
       "16    2019  111.2  100.0  32.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Lets see it in our eyes\n",
    "nba_site_df[['Season', 'PTS', 'Pace', '3PA']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '3PA')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# And now in a graph \n",
    "\n",
    "fig,(ax1, ax2) = plt.subplots(1, 2, figsize=(20, 6))\n",
    "\n",
    "\n",
    "\n",
    "ax1.plot(nba_site_df['Season'], nba_site_df['Pace'])\n",
    "ax1.set_title('pace')\n",
    "ax2.plot(nba_site_df['Season'], nba_site_df['3PA'])\n",
    "ax2.set_title('3PA')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this information at the back of our mind lets move back  to explore our original df and see what correlates with winning\\losing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_df = df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 10))\n",
    "\n",
    "sns.heatmap(corr_df, annot=True, cmap='viridis')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that each team in-game paramters are highly correlated which other. \n",
    "\n",
    "From examininig the HOME_TEAM_WINS column we can see that the home team: points, field goal percentage, assists and 3PT precantage are the most correlated with the home team win (on the opposite this  parameters in the away team are the most negatively correlated).\n",
    "\n",
    "As we disscussed the increased three point shooting in the last decade contributed to the increase in points.\n",
    "The points parameter as field goal percantage very attached to whether team will win or lose as we saw.\n",
    "Therefore I think it will be interesting to invstigate the 3 point percentage of a team in a given game as a primary factor, due to its effect on points scored and also because it part of the field goal percentage. This means that if the 3 pt percentage high, field goal percentage  will also be high."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='FG3_PCT_home', ylabel='Count'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtoAAAF0CAYAAAAdEJ4wAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/d3fzzAAAACXBIWXMAAAsTAAALEwEAmpwYAAAeHklEQVR4nO3de7BmV1kn4N+btCIqKJqWCifddsTACFGjNMjEG4pKREbAEpNoATKMCQiK44yFjFOjpZMqUVHGCzERqYglkCggqAEE5DJOuHUwBhKMJoD0oTOk8QZeJtrJO3+cfcyxOd39ne6zvu+c7uep2tX7W3vt/b3Jrj7969Vrr13dHQAAYHOdtugCAADgZCRoAwDAAII2AAAMIGgDAMAAgjYAAAwgaAMAwAA7Fl3AKGeccUbv2bNn0WUAAHASu/766z/e3TvXO3bSBu09e/Zk3759iy4DAICTWFX95ZGOmToCAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNrAEEu7dqeqZt6Wdu1edMkAsKl2LLoA4OR0YHl/Lrziupn7X33p+QOrAYD5M6INcARG5QE4EUa0AY7AqDwAJ8KINgAADCBoAwDAAII2AAAMIGgDAMAAgjYAAAwgaAPbkqX3ANjqLO8HbEuW3gNgqzOiDQAAAwjawEw2OlUDAE51w6aOVNVLkjwuyR3dfe7UdnWSB09dPjfJ33b3eVW1J8kHktwyHXtndz9jOudhSa5Kcu8k1yZ5Tnf3qLqB9ZmqAQAbM3KO9lVJfjnJS1cbuvvC1f2qekGSv1vT/7buPm+d61ye5JIk78xK0L4gyes2v1wAANg8w6aOdPfbk/z1esdq5d+VvyvJy492jao6M8l9u/sd0yj2S5M8YZNLBQCATbeoOdpfm+Rj3f0Xa9rOrqo/qaq3VdXXTm1LSZbX9Fme2tZVVZdU1b6q2nfw4MHNrxoAAGa0qKB9cf7taPbtSXZ391ck+eEkL6uq+yZZ74mqI87P7u4ru3tvd+/duXPnphYMAAAbMfd1tKtqR5LvSPKw1bbuvjPJndP+9VV1W5IHZWUE+6w1p5+V5MD8qgUAgOOziBHtb0ryZ939r1NCqmpnVZ0+7X9RknOSfLC7b0/yyap65DSv+ylJXrOAmgEAYEOGBe2qenmSdyR5cFUtV9XTp0MX5VMfgvy6JDdW1Z8m+Z0kz+ju1Qcpn5nkxUluTXJbrDgCAMA2MGzqSHdffIT2712n7ZVJXnmE/vuSnLupxQEAwGDeDAkAAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwwL2lX1kqq6o6rev6btJ6rqo1V1w7Q9ds2x51XVrVV1S1U9Zk37w6rqfdOxX6yqGlUzAABslpEj2lcluWCd9l/o7vOm7dokqaqHJLkoyUOnc15UVadP/S9PckmSc6ZtvWsCAMCWMixod/fbk/z1jN0fn+QV3X1nd38oya1JHlFVZya5b3e/o7s7yUuTPGFIwQAAsIkWMUf72VV14zS15H5T21KS/Wv6LE9tS9P+4e3rqqpLqmpfVe07ePDgZtcNAAAzm3fQvjzJA5Ocl+T2JC+Y2tebd91HaV9Xd1/Z3Xu7e+/OnTtPsFRgrk7bkaqaeQOArW7HPL+suz+2ul9Vv5bk96ePy0l2rel6VpIDU/tZ67QDJ5u7D+XCK66bufvVl54/sBgAOHFzHdGe5lyvemKS1RVJXpvkoqq6V1WdnZWHHt/d3bcn+WRVPXJabeQpSV4zz5oBAOB4DBvRrqqXJ3lUkjOqajnJjyd5VFWdl5XpHx9OcmmSdPdNVXVNkpuTHEryrO6+a7rUM7Oygsm9k7xu2gAAYEsbFrS7++J1mn/9KP0vS3LZOu37kpy7iaUBAMBw3gwJAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA2wWU7bkaqaeVvatXvRFQMw0I5RF66qlyR5XJI7uvvcqe1nk/yHJP+c5LYkT+vuv62qPUk+kOSW6fR3dvczpnMeluSqJPdOcm2S53R3j6ob4LjdfSgXXnHdzN2vvvT8gcUAsGgjR7SvSnLBYW1vTHJud39Zkj9P8rw1x27r7vOm7Rlr2i9PckmSc6bt8GsCAMCWMyxod/fbk/z1YW1/2N2Hpo/vTHLW0a5RVWcmuW93v2MaxX5pkicMKBcAADbVIudo/8ckr1vz+eyq+pOqeltVfe3UtpRkeU2f5akNOEFLu3ZvaD4xALAxw+ZoH01V/ViSQ0l+a2q6Pcnu7v6raU7271bVQ5Os96f7EednV9UlWZlmkt27PWQER3Ngef+pNZ94elARAOZl7kG7qp6alYckH736UGN335nkzmn/+qq6LcmDsjKCvXZ6yVlJDhzp2t19ZZIrk2Tv3r0emATuscEHFZOT4C8XACzUXKeOVNUFSZ6b5Nu7+x/XtO+sqtOn/S/KykOPH+zu25N8sqoeWStDUU9J8pp51gwAAMdj5PJ+L0/yqCRnVNVykh/Pyioj90ryxumfcFeX8fu6JD9ZVYeS3JXkGd29+iDlM3PP8n6vy7+d1w0AAFvSsKDd3Rev0/zrR+j7yiSvPMKxfUnO3cTSAABgOG+GBACAAQRtAAAYQNCGk8BG18S2zB0AjLeQdbSBzbXRNbETS9cBwGhGtAEAYABBGwAABhC0AQBgAEEbAAAGELQBAGAAQRsAAAYQtAEAYABBGwAABhC0AQBgAEEbAAAGELQBAGAAQRtgUU7bkaqaeVvatXvRFQOwATsWXQDAKevuQ7nwiutm7n71pecPLAaAzWZEGwAABhC0AQBgAEEbAAAGELQBAGAAQRsAAAYQtAEAYABBGwAABhC0AQBgAEEbAAAGELQBAGAAQRsAAAYQtAEAYICZgnZVffUsbQBsb0u7dqeqZt6Wdu1edMkAW9aOGfv9UpKvnKENgG3swPL+XHjFdTP3v/rS8wdWA7C9HTVoV9W/T3J+kp1V9cNrDt03yekjCwMAgO3sWCPan57ks6d+91nT/okk3zmqKAAA2O6OGrS7+21J3lZVV3X3X27kwlX1kiSPS3JHd587tX1ekquT7Eny4STf1d1/Mx17XpKnJ7kryQ929xum9ocluSrJvZNcm+Q53d0bqQUAAOZt1lVH7lVVV1bVH1bVH61uxzjnqiQXHNb2o0ne3N3nJHnz9DlV9ZAkFyV56HTOi6pqdWrK5UkuSXLOtB1+TQAA2HJmfRjyt5P8apIXZ2XE+Zi6++1Vteew5scnedS0/xtJ3prkuVP7K7r7ziQfqqpbkzyiqj6c5L7d/Y4kqaqXJnlCktfNWDcAACzErEH7UHdfvgnfd//uvj1Juvv2qvqCqX0pyTvX9Fue2v5l2j+8HQAAtrRZp478XlV9f1WdWVWft7ptYh21TlsfpX39i1RdUlX7qmrfwYMHN604AADYqFlHtJ86/foja9o6yRdt8Ps+VlVnTqPZZya5Y2pfTrJrTb+zkhyY2s9ap31d3X1lkiuTZO/evR6YZNta2rU7B5b3L7oMAOAEzBS0u/vsTfq+12YltP/09Otr1rS/rKp+PskDsvLQ47u7+66q+mRVPTLJu5I8JSsvyoGTmpeGAMD2N1PQrqqnrNfe3S89yjkvz8qDj2dU1XKSH89KwL6mqp6e5CNJnjRd56aquibJzUkOJXlWd68+dPnM3LO83+viQUgAALaBWaeOPHzN/mckeXSS9yY5YtDu7ouPcOjRR+h/WZLL1mnfl+TcGesEAIAtYdapIz+w9nNVfU6S3xxSEQDrO21HqtZ7Rnx9DzhrVz66/yMDCwLgaGYd0T7cP2ZlHjUA83L3IXP3AbaRWedo/17uWVbv9CRfkuSaUUUBAMB2N+uI9s+t2T+U5C+7e/lInQEA4FQ30wtruvttSf4syX2S3C/JP48sCk42S7t2p6pm3gCA7W/WqSPfleRnk7w1K29r/KWq+pHu/p2BtcFJw7rYAHDqmXXqyI8leXh335EkVbUzyZuSCNoAALCOmaaOJDltNWRP/moD5wIAwCln1hHt11fVG5K8fPp8YZJrx5QEAADb31GDdlV9cZL7d/ePVNV3JPmarMzRfkeS35pDfQAAsC0da/rHC5N8Mkm6+1Xd/cPd/Z+zMpr9wrGlAQDA9nWsoL2nu288vLG79yXZM6QiAAA4CRwraH/GUY7dezMLAQCAk8mxgvZ7qur7Dm+sqqcnuX5MSQAAsP0da9WRH0ry6qr6ntwTrPcm+fQkTxxYFwAAbGtHDdrd/bEk51fVNyQ5d2r+g+7+o+GVAQDANjbTOtrd/ZYkbxlcCwAAnDS83REAAAYQtAEAYABBGwAABhC0AQBgAEEbAAAGELQBAGAAQRsAAAYQtAEAYABBGwAABhC0AQBgAEEbjsPSrt2pqpk3AODUs2PRBcB2dGB5fy684rqZ+1996fkDqwEAtiIj2gAAMICgDQAAAwjaAAAwgKANAAADzD1oV9WDq+qGNdsnquqHquonquqja9ofu+ac51XVrVV1S1U9Zt41AwDARs191ZHuviXJeUlSVacn+WiSVyd5WpJf6O6fW9u/qh6S5KIkD03ygCRvqqoHdfdd86wbAAA2YtFTRx6d5Lbu/suj9Hl8kld0953d/aEktyZ5xFyqAwCA47TooH1Rkpev+fzsqrqxql5SVfeb2paS7F/TZ3lqAwCALWthQbuqPj3Jtyf57anp8iQPzMq0ktuTvGC16zqn9xGueUlV7auqfQcPHtzcggEAYAMWOaL9rUne290fS5Lu/lh339Xddyf5tdwzPWQ5ya41552V5MB6F+zuK7t7b3fv3blz58DSAQDg6BYZtC/OmmkjVXXmmmNPTPL+af+1SS6qqntV1dlJzkny7rlVCQAAx2Huq44kSVV9ZpJvTnLpmuafqarzsjIt5MOrx7r7pqq6JsnNSQ4leZYVRwAA2OoWErS7+x+TfP5hbU8+Sv/Lklw2ui4AANgsi151BAAATkqCNgAADCBoAwDAAII2AAAMIGgDAMAAgjYAAAwgaAMAwACCNgAADCBoAwDAAII2AAAMIGgDAMAAgjYAAAwgaAMAwACCNgAADCBoAwDAAII2AAAMIGgDAMAAgjYAAAwgaAMAwACCNgAADCBoAwDAAII2AAAMIGgDAMAAgjYAAAwgaAMAwACCNgAADCBoAwDAAII2AAAMIGgDAMAAgjYAAAwgaANw/E7bkaqaeVvatXvRFQPMzY5FFwDANnb3oVx4xXUzd7/60vMHFgOwtRjRBgCAARYStKvqw1X1vqq6oar2TW2fV1VvrKq/mH6935r+z6uqW6vqlqp6zCJqBgCAjVjkiPY3dPd53b13+vyjSd7c3eckefP0OVX1kCQXJXlokguSvKiqTl9EwQAAMKutNHXk8Ul+Y9r/jSRPWNP+iu6+s7s/lOTWJI+Yf3kAADC7RQXtTvKHVXV9VV0ytd2/u29PkunXL5jal5LsX3Pu8tQGAABb1qJWHfnq7j5QVV+Q5I1V9WdH6VvrtPW6HVdC+yVJsnu3JaQAAFichYxod/eB6dc7krw6K1NBPlZVZybJ9OsdU/flJLvWnH5WkgNHuO6V3b23u/fu3LlzVPkAAHBMcw/aVfVZVXWf1f0k35Lk/Ulem+SpU7enJnnNtP/aJBdV1b2q6uwk5yR593yrBgCAjVnE1JH7J3l1Va1+/8u6+/VV9Z4k11TV05N8JMmTkqS7b6qqa5LcnORQkmd1910LqBsAAGY296Dd3R9M8uXrtP9Vkkcf4ZzLklw2uDQAANg0W2l5PwAAOGkI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwgKANAAADCNqQZGnX7lTVzBsAwLHsWHQBsBUcWN6fC6+4bub+V196/sBqAICTgRFtTkpGqAGARTOizUnJCDUAsGhGtAEAYABBGwAABhC0AQBgAEEbgPk5bceGHlRe2rV70RUDHDcPQ7LlLe3anQPL+xddBrAZ7j7kQWXglCFos+VtdAWRxB/OAMDimToCAAADCNoAADCAoA0AAAMI2gAAMICgDQAAAwjaAAAwwNyDdlXtqqq3VNUHquqmqnrO1P4TVfXRqrph2h675pznVdWtVXVLVT1m3jUDAMBGLWId7UNJ/kt3v7eq7pPk+qp643TsF7r759Z2rqqHJLkoyUOTPCDJm6rqQd1911yrBgCADZj7iHZ3397d7532P5nkA0mWjnLK45O8orvv7O4PJbk1ySPGVwoAAMdvoXO0q2pPkq9I8q6p6dlVdWNVvaSq7je1LSVZ+/7t5Rw9mAMAwMItLGhX1WcneWWSH+ruTyS5PMkDk5yX5PYkL1jtus7pfYRrXlJV+6pq38GDBze/aADm67QdqaqZt6VduxddMcC/WsQc7VTVp2UlZP9Wd78qSbr7Y2uO/1qS358+LifZteb0s5IcWO+63X1lkiuTZO/eveuGcQC2kbsP5cIrrpu5+9WXnj+wGICNWcSqI5Xk15N8oLt/fk37mWu6PTHJ+6f91ya5qKruVVVnJzknybvnVS8AAByPRYxof3WSJyd5X1XdMLX9tyQXV9V5WZkW8uEklyZJd99UVdckuTkrK5Y8y4ojAABsdXMP2t39x1l/3vW1RznnsiSXDSsK4GQ0zW8GYDEWMkcbgDnY4PzmxBxngM3kFewAADCAoA0AAAMI2szd0q7dG1oXF2CUjf48slY3sBHmaDN3B5b3WxcX2BI2+vMo8TMJmJ0RbQAAGEDQ5oSZCgIA8KlMHeGEmQoCAPCpjGgDAMAAgjYAAAwgaAMAwACCNgAADCBoAwDAAII2AAAMYHk/AE4ep+2wXj+wZQjaAJw87j5kXX9gyzB1BAAABhC0AQBgAEEbAAAGELQ32dKu3amqmbelXbsXXTIAAAN4GHKTHVje70EcAACMaPOpNjoqD3BKmZYQ9C+XwLEY0eZTGJUHOApLCAIzMqJ9CjBCDQAwf0a0TwFGqAG2j6Vdu3Ngef/M/R9w1q58dP9HBlYEHC9BGwC2EIMjcPIwdQQAAAYQtAEAYABTRwBgpGk5QODUI2gDwEiWA4RTlqkjAAAwgKANANuZN1XClmXqCABsZ6amwJa1bUa0q+qCqrqlqm6tqh9ddD0AAHA02yJoV9XpSX4lybcmeUiSi6vqIYutajE2+jp1T7oD8G/MYarJRv+sMp2Fk9V2mTryiCS3dvcHk6SqXpHk8UluXmhVC7DRN4Yl/pkQgDU2OtXkmV93XIM2prPA9gnaS0n2r/m8nOSrFlQLAJw6NhjMk+MIzhtca/wBZ+3KR/d/ZGPfsQFLu3bnwPL+Y3ecUz1sX9Xdi67hmKrqSUke093/afr85CSP6O4fOKzfJUkumT4+OMktcy10xRlJPr6A72W+3OdTg/t88nOPTw3u86lhUff5C7t753oHtsuI9nKSXWs+n5XkwOGduvvKJFfOq6j1VNW+7t67yBoYz30+NbjPJz/3+NTgPp8atuJ93hYPQyZ5T5Jzqursqvr0JBclee2CawIAgCPaFiPa3X2oqp6d5A1JTk/yku6+acFlAQDAEW2LoJ0k3X1tkmsXXccMFjp1hblxn08N7vPJzz0+NbjPp4Ytd5+3xcOQAACw3WyXOdoAALCtCNrH6VivhK8Vvzgdv7GqvnIRdXJiZrjP3zPd3xur6rqq+vJF1MnxO9Y9XtPv4VV1V1V95zzrY3PMcp+r6lFVdUNV3VRVb5t3jZy4GX5mf05V/V5V/el0n5+2iDo5flX1kqq6o6ref4TjWyp/CdrHYcZXwn9rknOm7ZIkl8+1SE7YjPf5Q0m+vru/LMlPZQvOD+PIZrzHq/2en5UHstlmZrnPVfW5SV6U5Nu7+6FJnjTvOjkxM/5+flaSm7v7y5M8KskLptXM2D6uSnLBUY5vqfwlaB+ff30lfHf/c5LVV8Kv9fgkL+0V70zyuVV15rwL5YQc8z5393Xd/TfTx3dmZY13to9Zfi8nyQ8keWWSO+ZZHJtmlvv83Ule1d0fSZLudq+3n1nucye5T628hvKzk/x1kkPzLZMT0d1vz8p9O5Itlb8E7eOz3ivhl46jD1vbRu/h05O8bmhFbLZj3uOqWkryxCS/Ose62Fyz/F5+UJL7VdVbq+r6qnrK3Kpjs8xyn385yZdk5aV370vynO6+ez7lMSdbKn9tm+X9tphap+3w5Vtm6cPWNvM9rKpvyErQ/pqhFbHZZrnHL0zy3O6+a2UQjG1olvu8I8nDkjw6yb2TvKOq3tndfz66ODbNLPf5MUluSPKNSR6Y5I1V9b+7+xODa2N+tlT+ErSPzyyvhJ/ptfFsaTPdw6r6siQvTvKt3f1Xc6qNzTHLPd6b5BVTyD4jyWOr6lB3/+5cKmQzzPoz++Pd/Q9J/qGq3p7ky5MI2tvHLPf5aUl+ulfWNr61qj6U5N8lefd8SmQOtlT+MnXk+MzySvjXJnnK9PTrI5P8XXffPu9COSHHvM9VtTvJq5I82cjXtnTMe9zdZ3f3nu7ek+R3kny/kL3tzPIz+zVJvraqdlTVZyb5qiQfmHOdnJhZ7vNHsvKvFqmq+yd5cJIPzrVKRttS+cuI9nE40ivhq+oZ0/FfzcpbLB+b5NYk/5iVv0Wzjcx4n/9Hks9P8qJpxPNQd+9dVM1szIz3mG1ulvvc3R+oqtcnuTHJ3Ule3N3rLh/G1jTj7+efSnJVVb0vK1MMntvdH19Y0WxYVb08KyvGnFFVy0l+PMmnJVszf3kzJAAADGDqCAAADCBoAwDAAII2AAAMIGgDAMAAgjYAAAwgaAMAwACCNsACVNVdVXXDmm3P1P6IqnprVf1FVb23qv6gqr50OvaMqnrf1P+Pq+ohR7n+nqr6p6nvzVX1q1V12nTsQVV1bVXdWlUfqKprqurCNbX8fVXdMu2/9AjX/96q+uUB/2sAThpeWAOwGP/U3eetbZjeVHdNku/u7uumtq9J8sAk70vystWX6FTVtyf5+SQXHOU7buvu86pqR5I/SvKEqro2yR8k+eHu/r3pWt+Q5OBqPVX11iT/tbv3bdJ/K8ApyYg2wNbx7CS/sRqyk6S7/3j1le/d/Yk1fT8ryUxvHOvuQ0muS/LFSb47yTtWQ/Z0/C3H+RbEB1TV66fR959Zbayqi6eR9/dX1fPXtP99VT2/qq6vqjetGb3/4PQXh1TV6VX1s1X1nqq6saouPY66ALYEQRtgMe69ZqrGq6e2hyZ579FOqqpnVdVtSX4myQ/O8kVV9ZlJHp2VUfFzk1x//GX/G+cluTDJlya5sKp2VdUDkjw/yTdOxx9eVU+Y+n9Wkrd298OSfDLJ/0zyzUmemOQnpz5PT/J33f3wJA9P8n1VdfYm1QswV4I2wGL8U3efN21PXK9DVb1rmkP9v1bbuvtXuvuBSZ6b5L8f4zseWFU3JPk/Sf6gu1+3WcVP3tzdf9fd/y/JzUm+MCvh+K3dfXAaSf+tJF839f/nJK+f9t+X5G3d/S/T/p6p/VuSPGWq+11JPj/JOZtcN8BcmKMNsHXclOQrk7wmSbr7q6rqO5M8bp2+r0hy+TGud9vh88Cn7/j6E6xz1Z1r9u/Kyp8pdZT+/9Ldq9Nd7l49v7vvnuaRZzr/B7r7DZtUI8DCGNEG2Dp+Jcn3VtX5a9o+c3WnqtaO7H5bkr84ju94WZLzq+rb1lz3gtWVTTbBu5J8fVWdUVWnJ7k4yds2cP4bkjyzqj5tqu1BVfVZm1QbwFwZ0QbYIrr7/1bVhUmeX1VLSe5I8vHcM3/52VX1TUn+JcnfJHnqcXzHP1XV45K8sKpeOF3rxiTP2YT/hHT37VX1vCRvycro9LXd/ZoNXOLFWZlG8t6qqiQHkzxhM2oDmLe651/xAACAzWLqCAAADGDqCMA2Ns2t/s3Dmu/s7q/apOs/JivL9a31oSOtlALAPUwdAQCAAUwdAQCAAQRtAAAYQNAGAIABBG0AABhA0AYAgAH+P3Y+2jdx5gmmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We are familiar with the mean of 3 pt percentage, lets check the variance of it\n",
    "\n",
    "fig = plt.figure(figsize=(12, 6))\n",
    "\n",
    "\n",
    "sns.histplot(data=df, x='FG3_PCT_home', bins=50)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see a shape of a normal distribution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets see if there corrleation pattern beatween pts and 3 pt percentage  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='FG3_PCT_home', ylabel='PTS_home'>"
      ]
     },
     "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": [
    "sns.scatterplot(data=df, x='FG3_PCT_home', y='PTS_home', hue='HOME_TEAM_WINS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There seem to be obvious correletion pattern between home wins and points scored as we  already know.\n",
    "There also  seem to be correletion pattern in the pts and 3pt percentege. Lets  look at the numbers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>PTS_home</th>\n",
       "      <th>HOME_TEAM_WINS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PTS_home</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.405232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOME_TEAM_WINS</th>\n",
       "      <td>0.405232</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FG3_PCT_home</th>\n",
       "      <td>0.420215</td>\n",
       "      <td>0.296465</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                PTS_home  HOME_TEAM_WINS\n",
       "PTS_home        1.000000        0.405232\n",
       "HOME_TEAM_WINS  0.405232        1.000000\n",
       "FG3_PCT_home    0.420215        0.296465"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_df[['PTS_home', 'HOME_TEAM_WINS']].loc[['PTS_home', 'HOME_TEAM_WINS', 'FG3_PCT_home']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We already know the points scored and 3pt% correlation with home win, it seem there is nice correlation between points scored and 3pt percentage too."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Lets make categories for defifing wheather a game was good 3 pt shooting game\n",
    "\n",
    "def shooting_game(x):\n",
    "    if x <= 0.3:\n",
    "        x = 'bad 3pt shooting game'\n",
    "    elif x > 0.3 and x <= 0.4:\n",
    "        x = 'avarge 3pt shooting game'      \n",
    "    else:\n",
    "        x = 'good  3pt shooting game'\n",
    "    return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['3_point_shooting_categories'] = df['FG3_PCT_home'].apply(lambda x: shooting_game(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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_DATE_EST</th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>GAME_STATUS_TEXT</th>\n",
       "      <th>HOME_TEAM_ID</th>\n",
       "      <th>VISITOR_TEAM_ID</th>\n",
       "      <th>SEASON</th>\n",
       "      <th>TEAM_ID_home</th>\n",
       "      <th>PTS_home</th>\n",
       "      <th>FG_PCT_home</th>\n",
       "      <th>FT_PCT_home</th>\n",
       "      <th>...</th>\n",
       "      <th>AST_home</th>\n",
       "      <th>REB_home</th>\n",
       "      <th>TEAM_ID_away</th>\n",
       "      <th>PTS_away</th>\n",
       "      <th>FG_PCT_away</th>\n",
       "      <th>FT_PCT_away</th>\n",
       "      <th>FG3_PCT_away</th>\n",
       "      <th>AST_away</th>\n",
       "      <th>REB_away</th>\n",
       "      <th>HOME_TEAM_WINS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3_point_shooting_categories</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>avarge 3pt shooting game</th>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>...</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "      <td>8594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bad 3pt shooting game</th>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>...</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "      <td>7337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>good  3pt shooting game</th>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>...</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "      <td>7441</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             GAME_DATE_EST  GAME_ID  GAME_STATUS_TEXT  \\\n",
       "3_point_shooting_categories                                             \n",
       "avarge 3pt shooting game              8594     8594              8594   \n",
       "bad 3pt shooting game                 7337     7337              7337   \n",
       "good  3pt shooting game               7441     7441              7441   \n",
       "\n",
       "                             HOME_TEAM_ID  VISITOR_TEAM_ID  SEASON  \\\n",
       "3_point_shooting_categories                                          \n",
       "avarge 3pt shooting game             8594             8594    8594   \n",
       "bad 3pt shooting game                7337             7337    7337   \n",
       "good  3pt shooting game              7441             7441    7441   \n",
       "\n",
       "                             TEAM_ID_home  PTS_home  FG_PCT_home  FT_PCT_home  \\\n",
       "3_point_shooting_categories                                                     \n",
       "avarge 3pt shooting game             8594      8594         8594         8594   \n",
       "bad 3pt shooting game                7337      7337         7337         7337   \n",
       "good  3pt shooting game              7441      7441         7441         7441   \n",
       "\n",
       "                             ...  AST_home  REB_home  TEAM_ID_away  PTS_away  \\\n",
       "3_point_shooting_categories  ...                                               \n",
       "avarge 3pt shooting game     ...      8594      8594          8594      8594   \n",
       "bad 3pt shooting game        ...      7337      7337          7337      7337   \n",
       "good  3pt shooting game      ...      7441      7441          7441      7441   \n",
       "\n",
       "                             FG_PCT_away  FT_PCT_away  FG3_PCT_away  AST_away  \\\n",
       "3_point_shooting_categories                                                     \n",
       "avarge 3pt shooting game            8594         8594          8594      8594   \n",
       "bad 3pt shooting game               7337         7337          7337      7337   \n",
       "good  3pt shooting game             7441         7441          7441      7441   \n",
       "\n",
       "                             REB_away  HOME_TEAM_WINS  \n",
       "3_point_shooting_categories                            \n",
       "avarge 3pt shooting game         8594            8594  \n",
       "bad 3pt shooting game            7337            7337  \n",
       "good  3pt shooting game          7441            7441  \n",
       "\n",
       "[3 rows x 21 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('3_point_shooting_categories').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3_point_shooting_categories\n",
       "avarge 3pt shooting game    5080\n",
       "bad 3pt shooting game       3047\n",
       "good  3pt shooting game     5750\n",
       "Name: HOME_TEAM_WINS, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('3_point_shooting_categories')['HOME_TEAM_WINS'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='3_point_shooting_categories', ylabel='HOME_TEAM_WINS'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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u5fYXA3sk2R24GTgCeMAp8apq97HpJKfTXdDlS2u5P0mSJGnkhhkTfebabryqVgPH0p114zvAZ6tqaZJjkhyzttuVJEmSZtMwPdF9v0z4AFW1CFg0rm3CLxFW1VHrsi9JkiRpfRgmRO+c5H2TLayq42awHkmSJGnOGyZE3033xUJJkiRJDBeif1pVHxt5JZIkSdIGYpgvFt4zzIaS7L2OtUiSJEkbhGlDdFX9/pDb+sQ61iJJkiRtEIbpiR7WOp3FQ5IkSdpQzGSI9lLckiRJ2iTMZIiWJEmSNgkzGaKH+gKiJEmStKGbNkQneeXA9AHjlh07Nt3jC4iSJEnSBm2Ynuj/MjD9/nHLXjuDtUiSJEkbhGFCdCaZnmhekiRJ2ugNE6JrkumJ5iVJkqSN3jCX/d4zyTV0vc6Pb9O0+d8eWWWSJEnSHDVMiH7iyKuQJEmSNiDThuiq+uH6KESSJEnaUEwbopPcyQPHPqfNB6iq2m5EtUmSJElz0jDDOc4HdgK+CJxRVT8abUmSJEnS3Dbt2Tmq6jDghcAq4MNJvpHkDUl2GHVxkiRJ0lw01GW/q+qOqvoocAiwEHgHcNQI65IkSZLmrGGGc5DkGcCRwDOBbwEvqapvjrIwSZIkaa4a5ouFNwK3A2cARwOrW/uTAarqitGVJ0mSJM09w/RE30h3No4Xtp9BBTx3hmuSJEmS5rRhzhN90HqoQ5IkSdpgDDsm+pHAXwJ70/U+Xw+cUlU/GWFtkiRJ0pw07dk5khwALG6zHwc+2aYva8skSZKkTcowPdH/BhxWVVcOtH05yZnAh4CnjaQySZIkaY4a5jzR240L0ABU1VXAtjNekSRJkjTHDROik+QREzTuMOTtJUmSpI3KMCH43cB5SZ6dZNv2cxDwtbZMkiRJ2qQMc4q7U5PcAvwj3dk5AJYC/72qvjLd7ZMcDLwXmAd8pKreOW75oW3b99NdyOWNVfWtXvdCkiRJWo+GOsVdVZ0NnN1340nmAacAfwCsABYnOauqrh9Y7XzgrKqqJPsAnwX27LsvSZIkaX0Z5rLf76c7N/SEquq4KW6+P7Csqpa3bZ0BHEp3numx2981sP7DptqXJEmSNBcM0xO9ZGD67cA/9Nj+zsBNA/MrmOCUeEleAvwL8EjgD3tsX5IkSVrvhhkT/bGx6SRvHJwfQiba5AT7OBM4M8mz6MZHP/9BG0qOBo4G2HXXXXuUIEmSJM2svqeo6zvUYgXw2IH5XYBbJt141YXA45PsOMGyU6tqQVUtmD9/fs8yJEmSpJkz6vM8Lwb2SLJ7ki2AI4CzBldI8oQkadNPBrYAfjriuiRJkqS1NswXC+9kTQ/01kl+PrYIqKrabrLbVtXqJMcC59Kd4u60qlqa5Ji2fCHwUuBVSe4F7gZeVlV+uVCSJElz1jBjotfp0t5VtQhYNK5t4cD0icCJ67IPSZIkaX3yst2SJElST4ZoSZIkqSdDtCRJktSTIVqSJEnqyRAtSZIk9WSIliRJknoyREuSJEk9GaIlSZKkngzRkiRJUk+GaEmSJKknQ7QkSZLUkyFakiRJ6skQLUmSJPVkiJYkSZJ6MkRLkiRJPRmiJUmSpJ4M0ZIkSVJPhmhJkiSpJ0O0JEmS1JMhWpIkSerJEC1JkiT1ZIiWJEmSejJES5IkST0ZoiVJkqSeDNGSJElST4ZoSZIkqSdDtCRJktSTIVqSJEnqyRAtSZIk9WSIliRJknoyREuSJEk9jTxEJzk4yQ1JliU5YYLlr0hyTfu5KMm+o65JkiRJWhcjDdFJ5gGnAIcAewFHJtlr3Go/AJ5dVfsA/wicOsqaJEmSpHU16p7o/YFlVbW8qu4BzgAOHVyhqi6qqtva7CXALiOuSZIkSVonow7ROwM3DcyvaG2TeR3wtYkWJDk6yZIkS1atWjWDJUqSJEn9jDpEZ4K2mnDF5Dl0IfotEy2vqlOrakFVLZg/f/4MlihJkiT1s/mIt78CeOzA/C7ALeNXSrIP8BHgkKr66YhrkiRJktbJqHuiFwN7JNk9yRbAEcBZgysk2RX4IvBnVfW9EdcjSZIkrbOR9kRX1eokxwLnAvOA06pqaZJj2vKFwFuB3wI+kARgdVUtGGVdkiRJ0roY9XAOqmoRsGhc28KB6T8H/nzUdUiSJEkzxSsWSpIkST0ZoiVJkqSeDNGSJElST4ZoSZIkqSdDtCRJktSTIVqSJEnqyRAtSZIk9WSIliRJknoyREuSJEk9GaIlSZKkngzRkiRJUk+GaEmSJKknQ7QkSZLUkyFakiRJ6skQLUmSJPVkiJYkSZJ6MkRLkiRJPRmiJUmSpJ4M0ZIkSVJPhmhJkiSpJ0O0JEmS1JMhWpIkSerJEC1JkiT1ZIiWJEmSejJES5IkST0ZoiVJkqSeDNGSJElST4ZoSZIkqSdDtCRJktSTIVqSJEnqyRAtSZIk9TTyEJ3k4CQ3JFmW5IQJlu+Z5OIkv07yplHXI0mSJK2rzUe58STzgFOAPwBWAIuTnFVV1w+s9jPgOOCwUdYiSZIkzZRR90TvDyyrquVVdQ9wBnDo4ApV9ZOqWgzcO+JaJEmSpBkx6hC9M3DTwPyK1tZbkqOTLEmyZNWqVTNSnCRJkrQ2Rh2iM0Fbrc2GqurUqlpQVQvmz5+/jmVJkiRJa2/UIXoF8NiB+V2AW0a8T0mSJGmkRh2iFwN7JNk9yRbAEcBZI96nJEmSNFIjPTtHVa1OcixwLjAPOK2qliY5pi1fmGQnYAmwHXB/kjcCe1XVz0dZmyRJkrS2RhqiAapqEbBoXNvCgemVdMM8JEmSpA2CVyyUJEmSejJES5IkST0ZoiVJkqSeDNGSJElST4ZoSZIkqSdDtCRJktSTIVqSJEnqyRAtSZIk9WSIliRJknoyREuSJEk9GaIlSZKkngzRkiRJUk+GaEmSJKknQ7QkSZLUkyFakiRJ6skQLUmSJPVkiJYkSZJ6MkRLkiRJPRmiJUmSpJ4M0ZIkSVJPhmhJkiSpJ0O0JEmS1JMhWpIkSerJEC1JkiT1ZIiWJEmSejJES5IkST0ZoiVJkqSeDNGSJElST4ZoSZIkqSdDtCRJktTTyEN0koOT3JBkWZITJlieJO9ry69J8uRR1yRJkiSti5GG6CTzgFOAQ4C9gCOT7DVutUOAPdrP0cAHR1mTJEmStK5G3RO9P7CsqpZX1T3AGcCh49Y5FPh4dS4Btk/y6BHXJUmSJK21UYfonYGbBuZXtLa+60iSJElzxuYj3n4maKu1WIckR9MN9wC4K8kN61ibZs+OwK2zXcTGLP/66tkuQXOTx96o/cNEL2mSx96o5biRHnuPm6hx1CF6BfDYgfldgFvWYh2q6lTg1JkuUOtfkiVVtWC265A2NR570uzw2Ns4jXo4x2JgjyS7J9kCOAI4a9w6ZwGvamfp+H3gjqr68YjrkiRJktbaSHuiq2p1kmOBc4F5wGlVtTTJMW35QmAR8CJgGfBL4DWjrEmSJElaV6l60PBjaaSSHN2G50hajzz2pNnhsbdxMkRLkiRJPXnZb0mSJKknQ7RIsn+Sq9rP1UleMsRtjkrymB77eFuSN61bpZBk+yRvGJh/TJLPr+t2pXWVZLck102zzpZJLmvH2dIkbx9iuwcleUaPOg5Kcvaw60+zrTcm2XpgflGS7Wdi2xIMd9ysze2TPC7J5e117TffxZpmW4dNcFXlqdY/KsnJfWueZFt/O27+opnYrkbLEL0RaJdXXxfXAQuqaj/gYOBDSab70ulRwNAhegZtD/wmRFfVLVV1+CzUIa2NXwPPrap9gf2Ag9tZiaZyEDB0iJ5hbwR+E6Kr6kVVdfss1SL18WPgGe117WnACUN0/BwGDB2iZ9gDQnRVzdYxrx4M0etZki+1d8dL2wVkSPL6JCcNrHNUkvdPtn5rvyvJO5JcCjw9yeuSfC/JBUk+PPbuOMn8JF9Isrj9HDC+pqr6ZVWtbrNbMnCxm7aff0tyRZLz2/YOBxYAn2rv8rcadx+PS3J9kmuSnDGwaK9W3/Ikxw2s/1+SXNd+3jhN+zuBx7f9vmuwF6I9bl9Mck6S7497TCd8fMbVPT/J/2739UNJfphkxyH+Die2Zf+n9eqP3ccXt3XmtVoXt8fkP43ft9avJH+f5Lvt7/2ZtE9JkuyX5JL2dzozySOmaX9Kul7li4G/nG6/1bmrzT6k/VTb1gVJ3pPkovac3z/JbsAxwH9uz/lnjrsfz86aT5GuTLJtW7RNks+3+/ipJGnrP6+td22S05I8dLL2dow+Bvh6kq+39W5MsmM77r7TjqWlSc4b+z+Q5Kntcbq4Pe8n6iXcLMkH2m3PTtfDfXhb9tZ2rFyX5NSB2i9I8u4kF7Z9P7Ud799P8t8Htv3KdL39V7XjeF07GTR6myf5WHvefD7t048pngvTHndVdU9V/brNPpSBvNOexye258llSZ6Q7tOeFwPvas+dxw9uL8l/bHVcneTCgUWPycSvOUe24+m6JCdO1Z7kncBWbb+fam13td8Htef+RMfzi1rbt5K8LxN8ApVk6ySfbY/t/0pyaZIFbdkHkyzJuE/F2uPzz+0YXpLkyUnOTfLvGejRT/LmrHldm/ZTtY1SVfmzHn+AHdrvreh6gH8LmA8sG1jna8CBk63f5gv40zb9GOBGYAe6F+VvAie3ZZ8e2NauwHcmqetpwFLgLuAlA+0FvKJNv3VguxfQ9V5PtK1bgIe26e3b77cBF9H9M9sR+Gmr9SnAtcDDgG1aDb83RftuwHUD+/rNPF3v+HLg4XRvBn5IdyGfSR+fcXWfDPxNmz643fcdh/g7HNKmzwTOa/vYF7iqtR8N/F2bfiiwBNh9tp+Lm+oP3RvAq9rfclvg+8Cb2rJrgGe36XcA7+nR/q7B5+YU+5/X9n8XcOJA+wXAh9v0swae128bq2+CbX0FOKBNb0N32tKDgDvoLly1GXAxcGA7Jm4Cfqet/3G6nuYJ29v0jWPHwOB8O+5WA/u19s8Cr2zT19H1AEL3pvdBjwlwON3pTTcDdgJuAw5vy3YYWO8TwB8PPD4ntum/pvs/8+h2TK2g+1/6xPaYPKSt9wHgVbP9nPNnyuNhN7r/o2PP49MGjsfJngtDHXd0//+voTt97l8OtN8I/Lc2/Srg7DZ9+tjzcIJtXQvs3Ka3b7+PYvLXnB/RvbZvDvxful7uCdvbtu4at7+72u+DmPp43r2t95mx+zFuO28CPtSmn9SO2wWDjy/d/6QLgH0GHp/Xt+l3t8dw21b3T1r7C+gugJdW19nAs2b7+bS+f+yJXv+OS3I1cAndwbZHVa0Clif5/SS/BfwH4NuTrd/a7wO+0Kb3B75RVT+rqnuBzw3s7/nAyUmuoruwzXZZ01v1G1V1aVXtDTwV+JskW7ZF9wP/q01/ku7gnc41dL3Ur6Q7YMd8tap+XVW3Aj8BHtW2d2ZV/aK6HrovAs+con0651fVHVX1K+B6ukt1TvX4DDoQOAOgqs6he2EfM9nf4R7gnDZ9bdvPvW16t9b+AroLCl0FXEr3Yj92e61/BwJfrqq7q+pOutBFkofTvTh+o633MeBZPdo/MczOq+q+6j5i3gXYP8mTBhZ/pq1zId2xuv00m/s28D/S9RpvX2s+UbqsqlZU1f10gX03uv8rP6iq7w3ejynap/ODqrqqTV8O7Nbq3baqxsZzfnqS2x4IfK6q7q+qlcDXB5Y9p/WWXQs8F9h7YNnYxbquBZZW1Y+r621cTndcPo/uDfjidrw9D/jtIe6LZtdNVTX2mjf4OvOg50Kf466qbqqqfYAnAK9O8qiBxZ8Z+P30IWr8NnB6kr+gC51jJnrNeSpwQVWtasfkp+iOqcnapzPR8bwnsLyqfjDu/ow3+Lp2Hd3r85g/TXIFcCXdcTY4lGXwWLu0qu5sWeVX7Th/Qfu5Erii1bPJva6N+rLfGpDkILpQ+/Sq+mWSC+jeTUIXVP8U+C5deKxp1v9VVd03tukpdrtZu/3dw9RYVd9J8gu6d6xLJlpliM38Id0/hhcDf59k7EXw1wPr3Ef3/Jus9qnu01T67GOofU7zd7i32ttyujccvwaoqvuzZlx5gL+qqnOHrEOjtbbPrYm2s9bnCK2q29tz6WC63lsm2N6U26+qdyb5Kt0Fqy5J8vy2aDaOta16bGuyY21Lut7jBVV1U5K3seZYG9zn/Txw//ez5j5+rKr+Zsg6NDc86Hk/xXOh93FXVbckWUrXETP2RfTBbUy7vao6JsnT6F7frkqyX1u0ob6u7U7XS/3Uqrotyen0P9b+pao+NGQdGyV7otevhwO3tSC2JzD4haIv0n3ccyRren6nWn/QZcCzkzyiBbeXDiw7Dzh2bGbgwGegbfexwJfkcXQ9Uze2xZvRffQK8HLgW236TrqPd8ZvazPgsVX1deB4ui8CbjNJ3QAXAoe1cVsPA15CN9xisvYJ9zuNqR6fQd+ieyNDkhcAj2jtw/4dJnMu8PokD2nb/p12nzQ7vgX8cbozZWxD96JIVd0B3JY1447/jO6ThcnabwfuSDLWa/aK6Xacbtz99m16K7o3Z98dWOVlbdmBwB1t35M+55M8vqquraoT6d707jnF7r9L11v8hMH7MUU7U+17IlV1G3Bn1nxZ8ohJVv0W8NJ0Y6MfRfeRNax5Eb+1/W36fmn4fODwJI8ESLJD+5+muW3XJGO9wUfSPT8mfC4Me9wl2SVrxuk/AjgAuGFglZcN/L64TU93rF1aVW8FbqX75GMyl9K95uyYbkz+kXTH1GTtAPeOvUYM6bvAb6f73sTg/Rlv8HVtL+B3W/t2wC/oHstHAYf02Dd0r2uvbX8bkuw8dtxtSuyJXr/OAY5Jcg3dwXzJ2IL2TvB6YK+qumy69QdV1c1J/pnuAL2F7iOlO9ri44BT2jY2pwun40/1cyDdN5fvpXuX+YY25AK6g2zvJJe3bY4dqKcDC5PczQN7uucBn2wfuQV4d+txm/ABqaor2jvgsfv8kaq6EmCK9m+n+7LS14BTJtzw8I/PoLcDn0nyMrp/bD+m+6c61N9hCh+h+/jtinQPxCq6N0yaBVW1OMlZwNV0YxiXsOb58Gq65/XWdEMEXjNN+2uA05L8ku5FZTqPBj7WXkA3Az5bVYNfBrot3amttgNe29q+Anw+yaF0n2h8c2D9NyZ5Dl3v1PV0x8SEH01X1a+SvAb4XHszuRhYWFW/nqi93exU4GtJflxVzxni/gG8Dvhw+0TrAiY+1r5AN9TiOuB7dMfmHe1/xYfpPkK+sdUytKq6PsnfAee1N/T30n3x7Id9tqP17jt0wy0+RPcdhQ+2TovJngvDHHdPBP4tSdG9Fv1rVV07sPyh6b6YvxldmIVu2MOH0w2POryq/n1g/Xcl2aNt63y6/x/7TbTjqvpxkr+hG6YUYFFVfRlgsna6Y+2aJFdU1bRvyKvq7nSnez0nya2sea0c7wN0/3OuoRt6cQ3dsfb9JFfSfd9oOWuGkA6lqs5L8kTg4vb6fhfwSrqhmpsMr1i4kUiyTVXd1V4EzwROq6ozZ2C7d1XVVD3JG4RhHp90Zyq4r6pWt16RD7axq9rIDDwftqZ7Y3l0VV0xyzVdQPeFqomGUW0wxh7bNn0C8Oiq+uvJ1kv3PZDL6L5YtnI9l6tNUJIb6YaJ3DrdunPZwDEUug6l71fVu8etM4/ui7a/SnfGkfPpvkR8zyyUvNGxJ3rj8bZ04yG3pBvC8aXZLWfOGebx2RX4bOvBugf4i/VXntazU9tHm1vSjaGd1QC9kfnD1tu2OV0P8FGTrHd2G9qyBfCPBmipt79I8mq6Y+hKYKLxyVvTnabyIXS93683QM8ce6IlSZKknvxioSRJktSTIVqSJEnqyRAtSZIk9WSIliRJknoyREva6LQLqVyW5OokS5O8fQa3/eJ26rap1tktycvXYtu7tXOgr7MkRyV5zMD8R9oZSWZFksPW1/7bubYlaaQM0ZI2Rr8GnltV+9JdEOHggavorZOqOquq3jnNarvRXeFzNh0F/CZEV9WfV9X1s1cOhwEjDdHtnLhU1TNGuR9JAkO0pI1Qde5qsw9pPxOezzPJBUnek+SiJNcl2b+175DkS0muSXJJkn1a+1FJTm7Tpyd5X7vt8iRjl6l+J/DMJFcl+c+T7Hfv1lt+VdvHHm3RvCQfbj3o52XNpYv3a3Vck+TMdJcynrC91bEA+FTb/lbtfi5ot7kryT+1nvpL0l32lySPb/OLk7wjyV0TlD54H45Pcm3bzjtb21+021+d5AtJtk7yDODFdFd9u6rt5/FJzklyeZJvJtlzqhrSeVf7G12b7sqiJDkoydeTfJru6nYM1p3kzW1b14x9IpHkYUm+2mq8bmxbktSHIVrSRinJvCRX0V2G9n9X1aVTrP6w1nv5BuC01vZ24Mqq2gf4W+Djk9z20cCBwB/RhWeAE4BvVtV+468gNuAY4L3tqpgLgBWtfQ/glKraG7gdeGlr/zjwllbPtcA/TNZeVZ+nu5z5K1oNd4+/v8Alraf+QtZcWOi9raanArdMUjcASQ6h611+WtvOSW3RF6vqqa3tO8Drquoi4Czgza2ef6e7zPFfVdVTgDfRXZ54qhr+hO5ThX2B59MF8ke3ZfsD/62qHtDTneQF7fHcv932KUmeBRwM3FJV+1bVk4BzprqvkjQRQ7SkjVJV3dcC6i7A/kmeNMXqn2m3uRDYLt2V9A4EPtHa/y/wW0kePsFtv1RV97ehEo/qUeLFwN8meQvwuIGg+4OquqpNXw7s1va7fVV9o7V/DHjWZO1D7Pse4OzBfbTppwOfa9OfnmYbzwc+WlW/BKiqn7X2J7We5WuBVwB7j79hkm2AZwCfa290PkT3ZmSqGg4EPtP+rv8P+Abw1Lbssqr6wQQ1vqD9XAlcAexJF6qvBZ6f5MQkz6yqO6a5r5L0IF72W9JGrapuT3IBXe/jZF/aGz/Uo+gukTvdetCNvx4z0W0mq+vTSS4F/hA4N8mfA8vHbe8+YKtht9nDvbXmcrX3sXavBWHix+N04LCqujrJUcBBE6yzGXB7e5PTZ3+T+cUUt/mXqnrQ5ZCTPAV4EfAvSc6rqnf0qEWS7ImWtPFJMr/1JtPGFD8f+O4UNxkbX3sgcEfrmbyQrieVJAcBt1bVz4cs4U5g22lq/G1geVW9j26owz6TrdvquS3JM1vTnwHfmKx92BomcAlrho8cMc265wGvTbJ1uz87tPZtgR8neQjt8RtfT3scf5DkP7bbJsm+09RwIfCyNkxnPl2P+2XT1Hhuq3Gbtp+dkzwy3VlLfllVnwT+FXjyNNuRpAexJ1rSxujRwMfSna1hM+CzVXX2FOvflu60aNsBr21tbwM+muQa4JfAq3vs/xpgdZKrgdMnGRf9MuCVSe4FVgLvaPufzKuBhS20LgdeM0376a39brohEsN4I/DJJP8V+Cow6TCHqjonyX7AkiT3AIvoxo7/PXAp8EO6YRNjQf4M4MNJjgMOpwvYH0zyd3Rf/DwDuHqKGs5s9+Nquh7w46tq5dgXEiep8bwkTwQuTgJwF/BK4Al0Y6rvB+4FXj/k4yNJv5E1n+hJ0qanDfV4U1Utme1aZlsL4ndXVSU5Ajiyqg7d1GqQpGHYEy1JGvMU4OR03ba3s6ZXflOrQZKmZU+0pE1CklOAA8Y1v7eqPjri/b4QOHFc8w+q6iWj3O9MSfK7tLOUDPh1VT1tNuqRpLnCEC1JkiT15Nk5JEmSpJ4M0ZIkSVJPhmhJkiSpJ0O0JEmS1JMhWpIkSerp/wPjgr9aWX6TXgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "\n",
    "sns.barplot(data=df, x='3_point_shooting_categories', y='HOME_TEAM_WINS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that there more games won by the home team if they shoot the 3 pointer well.\n",
    "\n",
    "Now lets check the connection between the 3 pt percantages of the rival teams.\n",
    "\n",
    "We will make new column that classifies whether the home team shot better percantge in 3pt then the visitor team and then look at the connection to the home team winning. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def home_better_3pt(x, y):\n",
    "    if x > y:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['home_team_3pt_shooting'] = df.apply(lambda x: home_better_3pt(x['FG3_PCT_home'], x['FG3_PCT_away']), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x109157c0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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andva2lJKyYoVK170H3m6MkIMAAAN961vfevBc845Z8jIkSPb77nnnm0uueSS9V6gaOLEicsvuOCCP73xjW8cOXLkyPY3vOENIx9++OGtuvc77bTTHp8yZcqI17zmNSMHDRrU8fWvf33eCSecsO/IkSPbJ06cOHratGlb77777qtOOumkhe3t7WOnTJmy35ppwRti8eLFbW9961v3GzlyZPuYMWPG7r777ivPPvvshWv277fffisOPPDAUW9961tH/Mu//Msft9122zplypQlc+fO3WbNIlNJZ5j93e9+t+3JJ5/8VJJ88IMffPTVr371mGuuuWb3tY26DhgwYNWIESOW/elPf+r/+te/fmnSOR36Va961ZjRo0e3f/azn93rwgsvfN59yOeee+6fDzzwwDGHHnroyBEjRixf077NNtvUgQMHPjtp0qRnkuTQQw99+plnnmk78MADlyXJOeec88gnP/nJIQcccMDo7kH10EMPXdq6d3qt06W7v99LLrnkzx0dHWX06NHtI0aMGHvBBRcMTpIPfehDj1177bW7TZgwYfTcuXO33mabbVav7Xzr49prr91l5MiRY0ePHt1+1llnDf23f/u3B9YssrXvvvsu/+Y3v7nbyJEj25988sm+H/3oRxcmf/270+XnNej8889f0NbWlmOPPXbR7373u21HjRo19rTTTnvRqeFdlVq3zO/qnjRpUp06dWpvlwEAbARGiFmbzWGEuJRyV611Um/XsTZ/+MMf5k2YMOElhYOmOO6444YfeeSRi7ousrUlmjdv3laHH374qPvvv396nz5rXXNsszFnzpx+Rx555Ih77713xsY+9x/+8IfdJ0yYMHxt+4wQAwAAbGG+/OUv7/ba1752zIUXXvinzT0M9yb3EAMAAI3y/e9/f15v19DTzjrrrCfOOuusJ3q7jvU1atSoZ3tidPjFGCEGAACgkQRiAAAAGkkgBgAAoJEEYgAAABpJIAYAANhM3HDDDTsOHz583NChQ8edd955A3u7ni2dVaYBAAC6mXj21RM35vnu+vypd71Yn46Ojnz4wx8eeuutt87dd999V06YMGHMcccd99TEiROXb8xa+L+MEAMAAGwGbr/99u2GDRu2or29/dmtt966HnvssX+54YYbdu7turZkAjEAAMBm4OGHH+43ePDgZ9dsDxky5Nk//elP/Xqzpi2dQAwAALAZqLU+r62U8vxGNhqBGAAAYDMwdOjQvxoRnj9/fr9Bgwat7M2atnQCMQAAwGbgsMMOe2bevHlbz549u9/y5cvLjTfeuOtxxx33VG/XtSWzyjQAAMBmYKuttsqll1760OTJk0euWrUqJ5544uOTJk2ywnQPEogBAAC6WZ+vSeoJb3/72xe9/e1vX9Qb124iU6YBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAAA2A8cff/zwXXfddcKIESPG9nYtTeF7iAEAALp56FPjJ27M8w29cNqLfq/xP/zDPzz+wQ9+8LF3vetd+2zMa/PCjBADAABsBqZMmfL0gAEDOnq7jiYRiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAANgNHHXXUPocccsjoBx98sP+ee+75yn/+53/evbdr2tL52iUAAIBu1udrkja2m2+++cFNfc2mM0IMAABAIwnEAAAANJJADAAAQCP1aCAupXy4lDKjlDK9lHJtKWXrUsqupZSflFLubT3v0qX/x0sp95VS5pRS3tKlfWIpZVpr32WllNKTdQMAwBZg9erVq/1/M43W+m9g9Qvt77FAXEoZnOQDSSbVWscl6ZPkhCTnJrmt1joiyW2t7ZRS2lv7xyaZnOQrpZQ+rdN9NckZSUa0HpN7qm4AANhCTF+4cOFOQjFNtXr16rJw4cKdkkx/oT49vcp03yTblFJWJtk2yZ+TfDzJ4a39305ye5Jzkhyd5Lpa64okD5ZS7ktyYCllXpIda62/SZJSytVJ3pbklh6uHQAAXrY6Ojre/cgjj3zjkUceGRe3StJMq5NM7+joePcLdeixQFxr/VMp5Z+SPJRkWZL/XWv936WUPWutC1p9FpRS9mgdMjjJ/+lyivmttpWt193bn6eUckY6R5IzdOjQjfl2AADgZWXixImPJfm73q4DNmc9OWV6l3SO+u6TZFCS7UopJ6/rkLW01XW0P7+x1strrZNqrZMGDBjwUksGAACgQXpy6sQRSR6stS6sta5McmOSg5I8WkrZK0laz4+1+s9PsneX44ekc4r1/Nbr7u0AAACwwXoyED+U5LWllG1bq0K/McmsJDclOa3V57QkP2y9vinJCaWU/qWUfdK5eNadrenVS0opr22d59QuxwAAAMAG6cl7iH9bSrkhyd1JOpL8LsnlSbZPcn0p5fR0hubjW/1nlFKuTzKz1f/9tdZVrdO9N8lVSbZJ52JaFtQCAADg/0mPrjJda/1Ekk90a16RztHitfW/KMlFa2mfmmTcRi8QAACAxrL8OgAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIfXu7gC3ZxLOv7u0S2Azd9flTe7sEAAAgRogBAABoKIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARurRQFxK2bmUckMpZXYpZVYp5XWllF1LKT8ppdzbet6lS/+Pl1LuK6XMKaW8pUv7xFLKtNa+y0oppSfrBgAAYMvX0yPEX0zy41rr6CQTksxKcm6S22qtI5Lc1tpOKaU9yQlJxiaZnOQrpZQ+rfN8NckZSUa0HpN7uG4AAAC2cD0WiEspOyb5myRXJkmt9dla61NJjk7y7Va3byd5W+v10Umuq7WuqLU+mOS+JAeWUvZKsmOt9Te11prk6i7HAAAAwAbpyRHifZMsTPKtUsrvSinfKKVsl2TPWuuCJGk979HqPzjJw12On99qG9x63b39eUopZ5RSppZSpi5cuHDjvhsAAAC2KD0ZiPsmOSDJV2ut+yd5Jq3p0S9gbfcF13W0P7+x1strrZNqrZMGDBjwUusFAACgQXoyEM9PMr/W+tvW9g3pDMiPtqZBp/X8WJf+e3c5fkiSP7fah6ylHQAAADZYjwXiWusjSR4upYxqNb0xycwkNyU5rdV2WpIftl7flOSEUkr/Uso+6Vw8687WtOolpZTXtlaXPrXLMQAAALBB+vbw+f9Xku+WUvoleSDJu9IZwq8vpZye5KEkxydJrXVGKeX6dIbmjiTvr7Wuap3nvUmuSrJNkltaDwAAANhgPRqIa62/TzJpLbve+AL9L0py0VrapyYZt1GLAwAAoNF6+nuIAQAAYLMkEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjSQQAwAA0EgCMQAAAI0kEAMAANBIAjEAAACNJBADAADQSAIxAAAAjbRegbiUctv6tAEAAMDLRd917SylbJ1k2yS7l1J2SVJau3ZMMqiHawMAAIAes85AnOR/JvlQOsPvXfm/gXhxkn/tubIAAACgZ60zENdav5jki6WU/1Vr/dImqgkAAAB63IuNECdJaq1fKqUclGR412NqrVf3UF0AAADQo9YrEJdS/i3JK5L8PsmqVnNNIhADAADwsrRegTjJpCTttdbak8UAAADAprK+30M8PcnAniwEAAAANqX1HSHePcnMUsqdSVasaay1/l2PVAUAAAA9bH0D8Sd7sggAAADY1NZ3lemf93QhAAAAsCmt7yrTS9K5qnSS9EuyVZJnaq079lRhAAAA0JPWd4R4h67bpZS3JTmwJwoCAACATWF9V5n+K7XWf0/yho1bCgAAAGw66ztl+tgum23p/F5i30kMwEY38eyre7sENkM/2OHF+wDAS7W+q0wf1eV1R5J5SY7e6NUAAADAJrK+9xC/q6cLAQAAgE1pve4hLqUMKaX8oJTyWCnl0VLK90spQ3q6OAAAAOgp67uo1reS3JRkUJLBSW5utQEAAMDL0voG4gG11m/VWjtaj6uSDOjBugAAAKBHrW8gfryUcnIppU/rcXKSJ3qyMAAAAOhJ6xuI/yHJ/0jySJIFSf4+iYW2AAAAeNla369d+sckp9Van0ySUsquSf4pnUEZAAAAXnbWd4T4lWvCcJLUWv+SZP+eKQkAAAB63voG4rZSyi5rNlojxOs7ugwAAACbnfUNtZcm+XUp5YYkNZ33E1/UY1UBAABAD1uvQFxrvbqUMjXJG5KUJMfWWmf2aGUAAADQg9Z72nMrAAvBAAAAbBHW9x5iAAAA2KIIxAAAADSSQAwAAEAjCcQAAAA0kkAMAABAIwnEAAAANJJADAAAQCP1eCAupfQppfyulPKj1vaupZSflFLubT3v0qXvx0sp95VS5pRS3tKlfWIpZVpr32WllNLTdQMAALBl2xQjxB9MMqvL9rlJbqu1jkhyW2s7pZT2JCckGZtkcpKvlFL6tI75apIzkoxoPSZvgroBAADYgvVoIC6lDEny1iTf6NJ8dJJvt15/O8nburRfV2tdUWt9MMl9SQ4speyVZMda629qrTXJ1V2OAQAAgA3S0yPE/5LkY0lWd2nbs9a6IElaz3u02gcnebhLv/mttsGt193bAQAAYIP1WCAupRyZ5LFa613re8ha2uo62td2zTNKKVNLKVMXLly4npcFAACgiXpyhPjgJH9XSpmX5LokbyilfCfJo61p0Gk9P9bqPz/J3l2OH5Lkz632IWtpf55a6+W11km11kkDBgzYmO8FAACALUyPBeJa68drrUNqrcPTuVjWT2utJye5KclprW6nJflh6/VNSU4opfQvpeyTzsWz7mxNq15SSnlta3XpU7scAwAAABukby9c85Ik15dSTk/yUJLjk6TWOqOUcn2SmUk6kry/1rqqdcx7k1yVZJskt7QeAAAAsME2SSCutd6e5PbW6yeSvPEF+l2U5KK1tE9NMq7nKgQAAKBpNsX3EAMAAMBmRyAGAACgkQRiAAAAGkkgBgAAoJEEYgAAABpJIAYAAKCRBGIAAAAaSSAGAACgkQRiAAAAGkkgBgAAoJEEYgAAABpJIAYAAKCRBGIAAAAaSSAGAACgkQRiAAAAGkkgBgAAoJEEYgAAABpJIAYAAKCRBGIAAAAaSSAGAACgkQRiAAAAGkkgBgAAoJEEYgAAABpJIAYAAKCRBGIAAAAaSSAGAACgkQRiAAAAGkkgBgAAoJEEYgAAABpJIAYAAKCRBGIAAAAaSSAGAACgkQRiAAAAGkkgBgAAoJEEYgAAABpJIAYAAKCR+vZ2AdA0D31qfG+XwGZo6IXTersEAIDGMUIMAABAIwnEAAAANJJADAAAQCMJxAAAADSSQAwAAEAjCcQAAAA0kkAMAABAIwnEAAAANJJADAAAQCMJxAAAADSSQAwAAEAjCcQAAAA0kkAMAABAIwnEAAAANJJADAAAQCMJxAAAADSSQAwAAEAjCcQAAAA0kkAMAABAIwnEAAAANJJADAAAQCMJxAAAADRSjwXiUsrepZSflVJmlVJmlFI+2GrftZTyk1LKva3nXboc8/FSyn2llDmllLd0aZ9YSpnW2ndZKaX0VN0AAAA0Q0+OEHck+UitdUyS1yZ5fymlPcm5SW6rtY5IcltrO619JyQZm2Rykq+UUvq0zvXVJGckGdF6TO7BugEAAGiAHgvEtdYFtda7W6+XJJmVZHCSo5N8u9Xt20ne1np9dJLraq0raq0PJrkvyYGllL2S7Fhr/U2ttSa5ussxAAAAsEE2yT3EpZThSfZP8tske9ZaFySdoTnJHq1ug5M83OWw+a22wa3X3dsBAABgg/V4IC6lbJ/k+0k+VGtdvK6ua2mr62hf27XOKKVMLaVMXbhw4UsvFgAAgMbo0UBcStkqnWH4u7XWG1vNj7amQaf1/FirfX6SvbscPiTJn1vtQ9bS/jy11strrZNqrZMGDBiw8d4IAAAAW5yeXGW6JLkyyaxa6xe67LopyWmt16cl+WGX9hNKKf1LKfukc/GsO1vTqpeUUl7bOuepXY4BAACADdK3B899cJJTkkwrpfy+1XZekkuSXF9KOT3JQ0mOT5Ja64xSyvVJZqZzher311pXtY57b5KrkmyT5JbWAwAAADZYjwXiWusdWfv9v0nyxhc45qIkF62lfWqScRuvOgAAAJpuk6wyDQAAAJsbgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBGEogBAABoJIEYAACARhKIAQAAaKSXTSAupUwupcwppdxXSjm3t+sBAADg5e1lEYhLKX2S/GuSKUnak7yjlNLeu1UBAADwcvayCMRJDkxyX631gVrrs0muS3J0L9cEAADAy9jLJRAPTvJwl+35rTYAAADYIH17u4D1VNbSVp/XqZQzkpzR2ny6lDKnR6uCDTAs2T3J471dB5uZT6ztzxywhr+drNXm8bdzWG8XAGy4l0sgnp9k7y7bQ5L8uXunWuvlSS7fVEXBhiilTK21TurtOgBeTvztBKAnvFymTP93khGllH1KKf2SnJDkpl6uCQAAgJexl8UIca21o5RyVpJbk/RJ8s1a64xeLgsAAICXsZdFIE6SWut/JvnP3q4DNgLT+gFeOn87AdjoSq3PW5sKAAAAtngvl3uIAQAAYKMSiGETKqVMLqXMKaXcV0o5t7frAdjclVK+WUp5rJQyvbdrAWDLIxDDJlJK6ZPkX5NMSdKe5B2llPberQpgs3dVksm9XQQAWyaBGDadA5PcV2t9oNb6bJLrkhzdyzUBbNZqrb9I8pfergOALZNADJvO4CQPd9me32oDAAB6gUAMm05ZS5tl3gEAoJcIxLDpzE+yd5ftIUn+3Eu1AABA4wnEsOn8d5IRpZR9Sin9kpyQ5KZergkAABpLIIZNpNbakeSsJLcmmZXk+lrrjN6tCmDzVkq5NslvkowqpcwvpZze2zUBsOUotbqFEQAAgOYxQgwAAEAjCcQAAAA0kkAMAABAIwnEAAAANJJADAAAQCMJxAAAADSSQAywkZVSnu62/c5Sype7bJ9RSpndetxZSjmky77bSykPlVJKl7Z/X3POUsrwUsqyUsrvuzxOfYE6ftva/1ApZWGX/sNLKfNKKdO6tF3W5bi+pZTHSykXdzvfOmt7gRp+UEp5W5ftOaWUC7psf7+Ucmwp5fBSyo+6/LxWl1Je2aXf9FLK8Nbrf2jVfk+r/egXuj4AwLr07e0CAJqklHJkkv+Z5JBa6+OllAOS/Hsp5cBa6yOtbk8lOTjJHaWUnZPs1e0099daX/Vi16q1vqZ1zXcmmVRrPatLHUny+lrr42s59M1J5iT5H6WU8+pff2H9i9XW3a+THJTO97hbkqeTvK7L/tcleX+S0d2Om5/k/CRv79pYShnSaj+g1rqolLJ9kgEvUgMAwFoZIQbYtM5JcvaaIFprvTvJt9MZCte4LskJrdfHJrlxk1aYvCPJF5M8lOS13fa91Np+lc5AnNbzj5IMKJ32SbKsyz8EdPWjJGNLKaO6te+RZEk6g3VqrU/XWh988bcEAPB8AjHAxrdN1ynNST7VZd/YJHd16z+11b7GbUn+ppTSJ53h83vd+r+i25TpQzewzp91OceHk6SUsk2SN6YzkF6bznDc1YvV1t1dScaVUvqlMxD/Jp2jz2Na2796geNWJ/lckvO6tf8hyaNJHiylfKuUctSLv00AgLUzZRpg41vWdUrzminL6+hfknSdlrwqyR3pnC68Ta11XpfbdpP1nDK9HtY2ZfrIJD+rtS4tpXw/yf9XSvlwrXXVetb2V2qtK0opM5IckM7R5s8l2TedYXj/dE6pfiHXJDm/NZK85nyrSimTk7w6ncH9n0spE2utn1zvdw0A0GKEGGDTmplkYre2A1rtXV2X5EtJrt8URXXxjiRHlFLmpXN0d7ckr+/W56XW9uskf5Nkh1rrk0n+TzoD8bpGiFNr7UhyaTqnmXdtr7XWO2utF6dzlPq49awDAOCvCMQAm9bnkny2tcBUSimvSvLOJF/p1u+XSS5O57TlTaKUsmOSQ5IMrbUOr7UOT+e9zd2nTb/U2n6VzoXE/tDaviedo8VDk8x4kWOvSnJEWgtnlVIGtRYiW+NVSf64nnUAAPwVU6YBNqFa602llMFJfl1KqelcIOrkWuuCbv1qkn96gdO8onVv8hrfrLVe9gJ91+VnpZQ1U6HvSfLTJD+tta7o0ueHST5XSum/nrWtza/TOU364tbxHaWUx5I8XGtdva4Da63Ptr4S6outpq2S/FMpZVCS5UkWJjnzJdQCAPCc8tffpgEAAADNYMo0AAAAjWTKNMAWoJTy2yT9uzWfUmudtomuPz7Jv3VrXlFrfc2muD4AwIYwZRoAAIBGMmUaAACARhKIAQAAaCSBGAAAgEYSiAEAAGgkgRgAAIBG+v8Bej44oUUJuG0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig= plt.figure(figsize=(12, 6))\n",
    "\n",
    "sns.countplot(data=df, x='HOME_TEAM_WINS', hue='home_team_3pt_shooting')\n",
    "\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', title = 'home team 3pt% vs away team 3pt%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I think that it is quite clear that we found some pattern and connection between the  3-point percantage of the home team and their chance to win according to the data. \n",
    "Lets move to to making a model that predicts weather team will win or not.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}