OffensiveRatings.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "63764251-88b9-45eb-81a5-531edef41f11",
   "metadata": {},
   "source": [
    "# Computing NBA Players Offensive Ratings in Pandas\n",
    "Estimating the Offensive Rating of players during the 2020-21 Regular Season, as proposed in Dean Oliver's book \"Basketball on Paper\". This computation only requires box score information.\n",
    "\n",
    "![img](https://lh3.googleusercontent.com/proxy/LEsgdWtDy5ATslmwRSl5Z6G1d_ez4oON9i5wKHGt3vljz7MX9rttggnnqGOQO8oAKfi2uvhV2H_bRRNuPPoOVtUfmteqmTvWsB-j)\n",
    "\n",
    "**NOTE:** This is already computed by the NBA Stats, following [this link](https://www.nba.com/stats/players/advanced/?Season=2020-21&SeasonType=Regular%20Season&sort=GP&dir=-1) (it should be even more accurate). This is just an exercise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "22b6d076-7106-489b-bebd-d28484d03870",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.endpoints import leaguedashteamstats, leaguedashplayerstats\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6e55c4a-0e6c-415a-b3ed-34f461b89f41",
   "metadata": {},
   "source": [
    "## Data Obtention\n",
    "We need to get players' data and teams' data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a86d0cd4-6032-4c70-b6f1-e8331352f248",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's choose the season we want to study and get all the columns we will need for each player/team.\n",
    "season = \"2020-21\"\n",
    "player_columns = [\n",
    "    \"PLAYER_NAME\", \"TEAM_ID\", \"MIN\", \"FGM\", \"FGA\", \"FG_PCT\",\n",
    "    \"FG3M\", \"FG3_PCT\", \"FTM\", \"FTA\", \"FT_PCT\", \"AST\", \"PTS\", \"OREB\", \"TOV\"\n",
    "]\n",
    "team_columns = [\n",
    "    \"TEAM_ID\", \"TEAM_NAME\", \"MIN\", \"FTM\", \"FTA\", \"FT_PCT\", \"AST\", \"FGM\",\n",
    "    \"FGA\", \"FG_PCT\", \"FG3M\", \"PTS\", \"OREB\", \"OPP_DREB\", \"TOV\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a55d7e91-a7e9-4e18-b73a-4c3b1b70c875",
   "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>PLAYER_NAME</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG_PCT</th>\n",
       "      <th>FG3M</th>\n",
       "      <th>FG3_PCT</th>\n",
       "      <th>FTM</th>\n",
       "      <th>FTA</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>AST</th>\n",
       "      <th>PTS</th>\n",
       "      <th>OREB</th>\n",
       "      <th>TOV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aaron Gordon</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>1383.780000</td>\n",
       "      <td>231</td>\n",
       "      <td>499</td>\n",
       "      <td>0.463</td>\n",
       "      <td>59</td>\n",
       "      <td>0.335</td>\n",
       "      <td>97</td>\n",
       "      <td>149</td>\n",
       "      <td>0.651</td>\n",
       "      <td>161</td>\n",
       "      <td>618</td>\n",
       "      <td>77</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aaron Holiday</td>\n",
       "      <td>1610612754</td>\n",
       "      <td>1176.086667</td>\n",
       "      <td>170</td>\n",
       "      <td>436</td>\n",
       "      <td>0.390</td>\n",
       "      <td>67</td>\n",
       "      <td>0.368</td>\n",
       "      <td>68</td>\n",
       "      <td>83</td>\n",
       "      <td>0.819</td>\n",
       "      <td>123</td>\n",
       "      <td>475</td>\n",
       "      <td>15</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aaron Nesmith</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>668.731667</td>\n",
       "      <td>78</td>\n",
       "      <td>178</td>\n",
       "      <td>0.438</td>\n",
       "      <td>40</td>\n",
       "      <td>0.370</td>\n",
       "      <td>22</td>\n",
       "      <td>28</td>\n",
       "      <td>0.786</td>\n",
       "      <td>23</td>\n",
       "      <td>218</td>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abdel Nader</td>\n",
       "      <td>1610612756</td>\n",
       "      <td>355.250000</td>\n",
       "      <td>57</td>\n",
       "      <td>116</td>\n",
       "      <td>0.491</td>\n",
       "      <td>18</td>\n",
       "      <td>0.419</td>\n",
       "      <td>28</td>\n",
       "      <td>37</td>\n",
       "      <td>0.757</td>\n",
       "      <td>19</td>\n",
       "      <td>160</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Adam Mokoka</td>\n",
       "      <td>1610612741</td>\n",
       "      <td>56.178333</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "      <td>0.368</td>\n",
       "      <td>1</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PLAYER_NAME     TEAM_ID          MIN  FGM  FGA  FG_PCT  FG3M  FG3_PCT  \\\n",
       "0   Aaron Gordon  1610612743  1383.780000  231  499   0.463    59    0.335   \n",
       "1  Aaron Holiday  1610612754  1176.086667  170  436   0.390    67    0.368   \n",
       "2  Aaron Nesmith  1610612738   668.731667   78  178   0.438    40    0.370   \n",
       "3    Abdel Nader  1610612756   355.250000   57  116   0.491    18    0.419   \n",
       "4    Adam Mokoka  1610612741    56.178333    7   19   0.368     1    0.100   \n",
       "\n",
       "   FTM  FTA  FT_PCT  AST  PTS  OREB  TOV  \n",
       "0   97  149   0.651  161  618    77   97  \n",
       "1   68   83   0.819  123  475    15   66  \n",
       "2   22   28   0.786   23  218    28   23  \n",
       "3   28   37   0.757   19  160     7   19  \n",
       "4    0    1   0.000    5   15     1    5  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Player data\n",
    "player_stats = leaguedashplayerstats.LeagueDashPlayerStats(season=season).get_data_frames()[0]\n",
    "player_stats = player_stats[player_columns]\n",
    "player_stats.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "be0209cd-c3f1-4f00-b5e6-ad69dea07421",
   "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>TEAM_ID</th>\n",
       "      <th>TEAM_NAME</th>\n",
       "      <th>TEAM_MIN</th>\n",
       "      <th>TEAM_FTM</th>\n",
       "      <th>TEAM_FTA</th>\n",
       "      <th>TEAM_FT_PCT</th>\n",
       "      <th>TEAM_AST</th>\n",
       "      <th>TEAM_FGM</th>\n",
       "      <th>TEAM_FGA</th>\n",
       "      <th>TEAM_FG_PCT</th>\n",
       "      <th>TEAM_FG3M</th>\n",
       "      <th>TEAM_PTS</th>\n",
       "      <th>TEAM_OREB</th>\n",
       "      <th>TEAM_OPP_DREB</th>\n",
       "      <th>TEAM_TOV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1610612737</td>\n",
       "      <td>Atlanta Hawks</td>\n",
       "      <td>3481.0</td>\n",
       "      <td>1417</td>\n",
       "      <td>1745</td>\n",
       "      <td>0.812</td>\n",
       "      <td>1737</td>\n",
       "      <td>2937</td>\n",
       "      <td>6281</td>\n",
       "      <td>0.468</td>\n",
       "      <td>895</td>\n",
       "      <td>8186</td>\n",
       "      <td>760</td>\n",
       "      <td>2352.0</td>\n",
       "      <td>953.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1610612738</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>3476.0</td>\n",
       "      <td>1160</td>\n",
       "      <td>1496</td>\n",
       "      <td>0.775</td>\n",
       "      <td>1689</td>\n",
       "      <td>2985</td>\n",
       "      <td>6401</td>\n",
       "      <td>0.466</td>\n",
       "      <td>979</td>\n",
       "      <td>8109</td>\n",
       "      <td>765</td>\n",
       "      <td>2382.0</td>\n",
       "      <td>1012.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1610612751</td>\n",
       "      <td>Brooklyn Nets</td>\n",
       "      <td>3481.0</td>\n",
       "      <td>1305</td>\n",
       "      <td>1623</td>\n",
       "      <td>0.804</td>\n",
       "      <td>1929</td>\n",
       "      <td>3106</td>\n",
       "      <td>6289</td>\n",
       "      <td>0.494</td>\n",
       "      <td>1020</td>\n",
       "      <td>8537</td>\n",
       "      <td>640</td>\n",
       "      <td>2348.0</td>\n",
       "      <td>975.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1610612766</td>\n",
       "      <td>Charlotte Hornets</td>\n",
       "      <td>3471.0</td>\n",
       "      <td>1146</td>\n",
       "      <td>1505</td>\n",
       "      <td>0.761</td>\n",
       "      <td>1933</td>\n",
       "      <td>2875</td>\n",
       "      <td>6324</td>\n",
       "      <td>0.455</td>\n",
       "      <td>985</td>\n",
       "      <td>7881</td>\n",
       "      <td>762</td>\n",
       "      <td>2487.0</td>\n",
       "      <td>1069.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1610612741</td>\n",
       "      <td>Chicago Bulls</td>\n",
       "      <td>3476.0</td>\n",
       "      <td>995</td>\n",
       "      <td>1258</td>\n",
       "      <td>0.791</td>\n",
       "      <td>1927</td>\n",
       "      <td>3035</td>\n",
       "      <td>6380</td>\n",
       "      <td>0.476</td>\n",
       "      <td>904</td>\n",
       "      <td>7969</td>\n",
       "      <td>693</td>\n",
       "      <td>2410.0</td>\n",
       "      <td>1089.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      TEAM_ID          TEAM_NAME  TEAM_MIN  TEAM_FTM  TEAM_FTA  TEAM_FT_PCT  \\\n",
       "0  1610612737      Atlanta Hawks    3481.0      1417      1745        0.812   \n",
       "1  1610612738     Boston Celtics    3476.0      1160      1496        0.775   \n",
       "2  1610612751      Brooklyn Nets    3481.0      1305      1623        0.804   \n",
       "3  1610612766  Charlotte Hornets    3471.0      1146      1505        0.761   \n",
       "4  1610612741      Chicago Bulls    3476.0       995      1258        0.791   \n",
       "\n",
       "   TEAM_AST  TEAM_FGM  TEAM_FGA  TEAM_FG_PCT  TEAM_FG3M  TEAM_PTS  TEAM_OREB  \\\n",
       "0      1737      2937      6281        0.468        895      8186        760   \n",
       "1      1689      2985      6401        0.466        979      8109        765   \n",
       "2      1929      3106      6289        0.494       1020      8537        640   \n",
       "3      1933      2875      6324        0.455        985      7881        762   \n",
       "4      1927      3035      6380        0.476        904      7969        693   \n",
       "\n",
       "   TEAM_OPP_DREB  TEAM_TOV  \n",
       "0         2352.0     953.0  \n",
       "1         2382.0    1012.0  \n",
       "2         2348.0     975.0  \n",
       "3         2487.0    1069.0  \n",
       "4         2410.0    1089.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Team Data\n",
    "team_stats = leaguedashteamstats.LeagueDashTeamStats(season=season).get_data_frames()[0]\n",
    "# We need to add Opponent Team Data\n",
    "team_stats = team_stats.merge(leaguedashteamstats.LeagueDashTeamStats(season=season, measure_type_detailed_defense=\"Opponent\").get_data_frames()[0][[\"TEAM_ID\", \"OPP_DREB\"]], on=\"TEAM_ID\")\n",
    "team_stats = team_stats[team_columns]\n",
    "# Let's rename some columns in this dataframe\n",
    "team_stats.columns = list(team_stats.columns[:2]) + list([\"TEAM_\" + col for col in team_stats.columns[2:]])\n",
    "team_stats.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a91c76c8-3acc-46fe-a462-b71574f2e29a",
   "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>PLAYER_NAME</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG_PCT</th>\n",
       "      <th>FG3M</th>\n",
       "      <th>FG3_PCT</th>\n",
       "      <th>FTM</th>\n",
       "      <th>FTA</th>\n",
       "      <th>...</th>\n",
       "      <th>TEAM_FT_PCT</th>\n",
       "      <th>TEAM_AST</th>\n",
       "      <th>TEAM_FGM</th>\n",
       "      <th>TEAM_FGA</th>\n",
       "      <th>TEAM_FG_PCT</th>\n",
       "      <th>TEAM_FG3M</th>\n",
       "      <th>TEAM_PTS</th>\n",
       "      <th>TEAM_OREB</th>\n",
       "      <th>TEAM_OPP_DREB</th>\n",
       "      <th>TEAM_TOV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aaron Gordon</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>1383.780000</td>\n",
       "      <td>231</td>\n",
       "      <td>499</td>\n",
       "      <td>0.463</td>\n",
       "      <td>59</td>\n",
       "      <td>0.335</td>\n",
       "      <td>97</td>\n",
       "      <td>149</td>\n",
       "      <td>...</td>\n",
       "      <td>0.803</td>\n",
       "      <td>1933</td>\n",
       "      <td>3114</td>\n",
       "      <td>6422</td>\n",
       "      <td>0.485</td>\n",
       "      <td>927</td>\n",
       "      <td>8284</td>\n",
       "      <td>758</td>\n",
       "      <td>2314.0</td>\n",
       "      <td>972.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Austin Rivers</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>844.968333</td>\n",
       "      <td>104</td>\n",
       "      <td>245</td>\n",
       "      <td>0.424</td>\n",
       "      <td>55</td>\n",
       "      <td>0.369</td>\n",
       "      <td>22</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>0.803</td>\n",
       "      <td>1933</td>\n",
       "      <td>3114</td>\n",
       "      <td>6422</td>\n",
       "      <td>0.485</td>\n",
       "      <td>927</td>\n",
       "      <td>8284</td>\n",
       "      <td>758</td>\n",
       "      <td>2314.0</td>\n",
       "      <td>972.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bol Bol</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>159.656667</td>\n",
       "      <td>25</td>\n",
       "      <td>58</td>\n",
       "      <td>0.431</td>\n",
       "      <td>9</td>\n",
       "      <td>0.375</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>0.803</td>\n",
       "      <td>1933</td>\n",
       "      <td>3114</td>\n",
       "      <td>6422</td>\n",
       "      <td>0.485</td>\n",
       "      <td>927</td>\n",
       "      <td>8284</td>\n",
       "      <td>758</td>\n",
       "      <td>2314.0</td>\n",
       "      <td>972.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Facundo Campazzo</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>1424.931667</td>\n",
       "      <td>120</td>\n",
       "      <td>315</td>\n",
       "      <td>0.381</td>\n",
       "      <td>76</td>\n",
       "      <td>0.352</td>\n",
       "      <td>80</td>\n",
       "      <td>91</td>\n",
       "      <td>...</td>\n",
       "      <td>0.803</td>\n",
       "      <td>1933</td>\n",
       "      <td>3114</td>\n",
       "      <td>6422</td>\n",
       "      <td>0.485</td>\n",
       "      <td>927</td>\n",
       "      <td>8284</td>\n",
       "      <td>758</td>\n",
       "      <td>2314.0</td>\n",
       "      <td>972.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Greg Whittington</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>12.016667</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.803</td>\n",
       "      <td>1933</td>\n",
       "      <td>3114</td>\n",
       "      <td>6422</td>\n",
       "      <td>0.485</td>\n",
       "      <td>927</td>\n",
       "      <td>8284</td>\n",
       "      <td>758</td>\n",
       "      <td>2314.0</td>\n",
       "      <td>972.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        PLAYER_NAME     TEAM_ID          MIN  FGM  FGA  FG_PCT  FG3M  FG3_PCT  \\\n",
       "0      Aaron Gordon  1610612743  1383.780000  231  499   0.463    59    0.335   \n",
       "1     Austin Rivers  1610612743   844.968333  104  245   0.424    55    0.369   \n",
       "2           Bol Bol  1610612743   159.656667   25   58   0.431     9    0.375   \n",
       "3  Facundo Campazzo  1610612743  1424.931667  120  315   0.381    76    0.352   \n",
       "4  Greg Whittington  1610612743    12.016667    0    3   0.000     0    0.000   \n",
       "\n",
       "   FTM  FTA  ...  TEAM_FT_PCT  TEAM_AST  TEAM_FGM  TEAM_FGA  TEAM_FG_PCT  \\\n",
       "0   97  149  ...        0.803      1933      3114      6422        0.485   \n",
       "1   22   31  ...        0.803      1933      3114      6422        0.485   \n",
       "2   10   15  ...        0.803      1933      3114      6422        0.485   \n",
       "3   80   91  ...        0.803      1933      3114      6422        0.485   \n",
       "4    0    0  ...        0.803      1933      3114      6422        0.485   \n",
       "\n",
       "  TEAM_FG3M  TEAM_PTS  TEAM_OREB  TEAM_OPP_DREB  TEAM_TOV  \n",
       "0       927      8284        758         2314.0     972.0  \n",
       "1       927      8284        758         2314.0     972.0  \n",
       "2       927      8284        758         2314.0     972.0  \n",
       "3       927      8284        758         2314.0     972.0  \n",
       "4       927      8284        758         2314.0     972.0  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge Player and Team data\n",
    "player_stats = player_stats.merge(team_stats, on=\"TEAM_ID\")\n",
    "player_stats.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5a7ab86-224c-4b07-85d2-53e4c37313ec",
   "metadata": {},
   "source": [
    "## Computing the Offensive Rating\n",
    "We can now start computing the stat, using all the columns we have in the new merged dataframe.\n",
    "\n",
    "Let's start with percentage of minutes played and estimating the amount of Scoring Possessions for each player."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a627fe71-1109-4910-af6e-bb4d87197266",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"MIN_PCT\"] = player_stats[\"MIN\"] / player_stats[\"TEAM_MIN\"]\n",
    "player_stats[\"qAST\"] = player_stats[\"MIN_PCT\"] * 1.14 * (player_stats[\"TEAM_AST\"] - player_stats[\"AST\"]) / player_stats[\"TEAM_FGM\"]\n",
    "player_stats[\"qAST\"] += (\n",
    "    (player_stats[\"MIN_PCT\"] * player_stats[\"TEAM_AST\"] - player_stats[\"AST\"]) /\n",
    "    (player_stats[\"MIN_PCT\"] * player_stats[\"TEAM_FGM\"] - player_stats[\"FGM\"])\n",
    ") * (1 - player_stats[\"MIN_PCT\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "69d1568c-c541-4494-a125-016ec50aadbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"FGPart\"] = player_stats[\"FGM\"] * (1 - 0.25 * ((player_stats[\"PTS\"] - player_stats[\"FTM\"]) / player_stats[\"FGA\"]) * player_stats[\"qAST\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "65450570-6873-4ede-bfb7-561332030d04",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"ASTPart\"] = 0.25 * (\n",
    "    (player_stats[\"TEAM_PTS\"] - player_stats[\"TEAM_FTM\"] - (player_stats[\"PTS\"] - player_stats[\"FTM\"])) / (player_stats[\"TEAM_FGA\"] - player_stats[\"FGA\"])\n",
    ") * player_stats[\"AST\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f21892e9-eea6-4503-bcc0-3414de46af6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"FTPart\"] = (1 - (1 - player_stats[\"FT_PCT\"]) ** 2) * 0.4 * player_stats[\"FTA\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "571df002-1027-4f8c-9c8e-fe2c8c3532a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"TEAM_SCPoss\"] = player_stats[\"TEAM_FGM\"] + (1 - (1 - player_stats[\"TEAM_FT_PCT\"]) ** 2) * player_stats[\"TEAM_FTA\"] * 0.4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0f5dfaae-8cc5-4f90-b0a9-538b850746eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"TEAM_OREB_PCT\"] = player_stats[\"TEAM_OREB\"] / (player_stats[\"TEAM_OPP_DREB\"] + player_stats[\"TEAM_OREB\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f9cad89b-bb86-4686-b8ad-86dac2268b01",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"TEAM_PLAY_PCT\"] = player_stats[\"TEAM_SCPoss\"] / (player_stats[\"TEAM_FGA\"] + player_stats[\"TEAM_FTA\"] * 0.4 + player_stats[\"TEAM_TOV\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "dbb7454e-879a-4a68-8bb6-647903fa053b",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"TEAM_OREB_WGT\"] = (\n",
    "    ((1 - player_stats[\"TEAM_OREB_PCT\"]) * player_stats[\"TEAM_PLAY_PCT\"]) /\n",
    "    ((1 - player_stats[\"TEAM_OREB_PCT\"]) * player_stats[\"TEAM_PLAY_PCT\"] + player_stats[\"TEAM_OREB_PCT\"] * (1 - player_stats[\"TEAM_PLAY_PCT\"]))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6896100d-53af-4328-b25b-e051ffb093d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"OREBPart\"] = player_stats[\"OREB\"] * player_stats[\"TEAM_OREB_WGT\"] * player_stats[\"TEAM_PLAY_PCT\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0c632a5-ffe7-48c2-bd5a-e34fb9c47260",
   "metadata": {},
   "source": [
    "We can now obtain the Total Possessions for each player"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "076f813c-0e29-4c60-b182-4f5e885a5285",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"SCPoss\"] = (\n",
    "    (player_stats[\"FGPart\"] + player_stats[\"ASTPart\"] + player_stats[\"FTPart\"]) * \n",
    "    (1 - player_stats[\"TEAM_OREB\"] / player_stats[\"TEAM_SCPoss\"] * player_stats[\"TEAM_OREB_WGT\"] * player_stats[\"TEAM_PLAY_PCT\"]) +\n",
    "    player_stats[\"OREBPart\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "29658f2a-8bce-431e-8840-a6ed5bece0b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Computing Field Goals per Possession\n",
    "player_stats[\"FGxPoss\"] = (player_stats[\"FGA\"] - player_stats[\"FGM\"]) * (1 - 1.07 * player_stats[\"TEAM_OREB_PCT\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "90f164cc-9198-417c-861a-1821615618af",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"FTxPoss\"] = (1 - player_stats[\"FT_PCT\"]) ** 2 * 0.4 * player_stats[\"FTA\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e5a0f0bb-828f-4470-9830-54f7106f9e6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"TotPoss\"] = player_stats[\"SCPoss\"] + player_stats[\"FGxPoss\"] + player_stats[\"FTxPoss\"] + player_stats[\"TOV\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fce02ae-48d4-434c-b671-18791a6377a2",
   "metadata": {},
   "source": [
    "We can now compute the Points Produced for each Player"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9ce622b5-d09d-49e2-8327-5539aa075861",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"PTSProdFGPart\"] = 2 * (player_stats[\"FGM\"] + 0.5 * player_stats[\"FG3M\"]) * (1 - 0.25 * (player_stats[\"PTS\"] - player_stats[\"FTM\"]) / player_stats[\"FGA\"] * player_stats[\"qAST\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6680e849-833c-4be1-95d4-5f669f4785a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"PTSProdASTPart\"] = 2 * (player_stats[\"TEAM_FGM\"] - player_stats[\"FGM\"] + 0.5 * (player_stats[\"TEAM_FG3M\"] - player_stats[\"FG3M\"])) / (player_stats[\"TEAM_FGM\"] - player_stats[\"FGM\"]) * 0.25 * (player_stats[\"TEAM_PTS\"] - player_stats[\"TEAM_FTM\"] - (player_stats[\"PTS\"] - player_stats[\"FTM\"])) / (player_stats[\"TEAM_FGA\"] - player_stats[\"FGA\"]) * player_stats[\"AST\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e553a2cc-536b-48f3-95cd-2b60c521db85",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"PTSProdOREBPart\"] = player_stats[\"OREB\"] * player_stats[\"TEAM_OREB_WGT\"] * player_stats[\"TEAM_PLAY_PCT\"] * player_stats[\"TEAM_PTS\"] / (player_stats[\"TEAM_FGM\"] + (1 - (1 - player_stats[\"TEAM_FT_PCT\"]) ** 2) * 0.4 * player_stats[\"TEAM_FTA\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "003f1191-2396-4aa2-b8ec-2750dbeef299",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"PTSProd\"] = (player_stats[\"PTSProdFGPart\"] + player_stats[\"PTSProdASTPart\"] + player_stats[\"FTM\"]) * (1 - player_stats[\"TEAM_OREB\"] / player_stats[\"TEAM_SCPoss\"] * player_stats[\"TEAM_OREB_WGT\"] * player_stats[\"TEAM_PLAY_PCT\"]) + player_stats[\"PTSProdOREBPart\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25a402fa-23ea-4183-ac88-36cfd0ed5955",
   "metadata": {},
   "source": [
    "Finally, we get the ORtg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1c4db973-321b-48f6-b2c6-61255997103d",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"ORtg\"] = 100 * (player_stats[\"PTSProd\"] / player_stats[\"TotPoss\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7371ab09-7ba0-4b36-90d7-cd5b89d2dbd1",
   "metadata": {},
   "source": [
    "## Let's check\n",
    "\n",
    "Let's get Lebron James's Offensive Rating for this season."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "13908f71-a40a-4246-be8a-451b72e55a9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "150    113.892988\n",
       "Name: ORtg, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "player_stats.loc[player_stats[\"PLAYER_NAME\"] == \"LeBron James\", \"ORtg\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b579ed2-315a-4909-ab4f-7f1e88808d7b",
   "metadata": {},
   "source": [
    "We can calculate the Effective Field Goal % for each player and plot that against their ORtgs, for players that got more than 500 minutes in the season (more than ~7 minutes per game). We can also try and make a regression."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "91e1d950-bbec-4f1a-a607-666df632a6db",
   "metadata": {},
   "outputs": [],
   "source": [
    "player_stats[\"EFG_PCT\"] = (player_stats[\"FGM\"] + 0.5 * player_stats[\"FG3M\"]) / player_stats[\"FGA\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7416b305-f03b-46fc-bd70-2185fdd01bf4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "<b>%{hovertext}</b><br><br>EFG_PCT=%{x}<br>ORtg=%{y}<extra></extra>",
         "hovertext": [
          "Aaron Gordon",
          "Austin Rivers",
          "Facundo Campazzo",
          "JaMychal Green",
          "JaVale McGee",
          "Jamal Murray",
          "Michael Porter Jr.",
          "Monte Morris",
          "Nikola Jokic",
          "PJ Dozier",
          "Paul Millsap",
          "Will Barton",
          "Aaron Holiday",
          "Caris LeVert",
          "Domantas Sabonis",
          "Doug McDermott",
          "Edmond Sumner",
          "Goga Bitadze",
          "Jeremy Lamb",
          "Justin Holiday",
          "Malcolm Brogdon",
          "Myles Turner",
          "Oshae Brissett",
          "T.J. McConnell",
          "Aaron Nesmith",
          "Al Horford",
          "Evan Fournier",
          "Grant Williams",
          "Jaylen Brown",
          "Jayson Tatum",
          "Marcus Smart",
          "Moses Brown",
          "Payton Pritchard",
          "Robert Williams III",
          "Semi Ojeleye",
          "Tristan Thompson",
          "Cameron Johnson",
          "Cameron Payne",
          "Chris Paul",
          "Dario Saric",
          "Deandre Ayton",
          "Devin Booker",
          "Frank Kaminsky",
          "Jae Crowder",
          "Jevon Carter",
          "Mikal Bridges",
          "Torrey Craig",
          "Coby White",
          "Daniel Theis",
          "Denzel Valentine",
          "Garrett Temple",
          "Lauri Markkanen",
          "Nikola Vucevic",
          "Patrick Williams",
          "Thaddeus Young",
          "Tomas Satoransky",
          "Troy Brown Jr.",
          "Zach LaVine",
          "Alec Burks",
          "Derrick Rose",
          "Elfrid Payton",
          "Immanuel Quickley",
          "Julius Randle",
          "Mitchell Robinson",
          "Nerlens Noel",
          "Obi Toppin",
          "RJ Barrett",
          "Reggie Bullock",
          "Taj Gibson",
          "Aleksej Pokusevski",
          "Darius Bazley",
          "Isaiah Roby",
          "Kemba Walker",
          "Kenrich Williams",
          "Luguentz Dort",
          "Mike Muscala",
          "Shai Gilgeous-Alexander",
          "Svi Mykhailiuk",
          "Theo Maledon",
          "Tony Bradley",
          "Ty Jerome",
          "Andrew Wiggins",
          "Damion Lee",
          "Draymond Green",
          "Eric Paschall",
          "James Wiseman",
          "Jordan Poole",
          "Juan Toscano-Anderson",
          "Kelly Oubre Jr.",
          "Kent Bazemore",
          "Kevon Looney",
          "Mychal Mulder",
          "Stephen Curry",
          "Alex Caruso",
          "Andre Drummond",
          "Anthony Davis",
          "Ben McLemore",
          "Dennis Schroder",
          "Kentavious Caldwell-Pope",
          "Kyle Kuzma",
          "LeBron James",
          "Marc Gasol",
          "Markieff Morris",
          "Montrezl Harrell",
          "Talen Horton-Tucker",
          "Wesley Matthews",
          "Alex Len",
          "Bradley Beal",
          "Daniel Gafford",
          "Davis Bertans",
          "Deni Avdija",
          "Garrison Mathews",
          "Ish Smith",
          "Raul Neto",
          "Robin Lopez",
          "Rui Hachimura",
          "Russell Westbrook",
          "Blake Griffin",
          "Bruce Brown",
          "DeAndre Jordan",
          "James Harden",
          "Jeff Green",
          "Joe Harris",
          "Kevin Durant",
          "Kyrie Irving",
          "LaMarcus Aldridge",
          "Landry Shamet",
          "Nicolas Claxton",
          "Timothe Luwawu-Cabarrot",
          "Tyler Johnson",
          "DeMarcus Cousins",
          "Ivica Zubac",
          "Kawhi Leonard",
          "Luke Kennard",
          "Marcus Morris Sr.",
          "Nicolas Batum",
          "Patrick Beverley",
          "Patrick Patterson",
          "Paul George",
          "Rajon Rondo",
          "Reggie Jackson",
          "Serge Ibaka",
          "Terance Mann",
          "Cedi Osman",
          "Collin Sexton",
          "Damyean Dotson",
          "Darius Garland",
          "Dean Wade",
          "Dylan Windler",
          "Isaac Okoro",
          "Isaiah Hartenstein",
          "Jarrett Allen",
          "Kevin Love",
          "Larry Nance Jr.",
          "Taurean Prince",
          "Andre Iguodala",
          "Bam Adebayo",
          "Duncan Robinson",
          "Gabe Vincent",
          "Goran Dragic",
          "Jimmy Butler",
          "Kendrick Nunn",
          "Max Strus",
          "Nemanja Bjelica",
          "Precious Achiuwa",
          "Trevor Ariza",
          "Tyler Herro",
          "Victor Oladipo",
          "Anfernee Simons",
          "CJ McCollum",
          "Carmelo Anthony",
          "Damian Lillard",
          "Derrick Jones Jr.",
          "Enes Kanter",
          "Jusuf Nurkic",
          "Nassir Little",
          "Norman Powell",
          "Robert Covington",
          "Anthony Edwards",
          "D'Angelo Russell",
          "Jaden McDaniels",
          "Jake Layman",
          "Jarred Vanderbilt",
          "Jaylen Nowell",
          "Jordan McLaughlin",
          "Josh Okogie",
          "Juancho Hernangomez",
          "Karl-Anthony Towns",
          "Malik Beasley",
          "Naz Reid",
          "Ricky Rubio",
          "Armoni Brooks",
          "Avery Bradley",
          "Christian Wood",
          "D.J. Augustin",
          "Danuel House Jr.",
          "David Nwaba",
          "Eric Gordon",
          "Jae'Sean Tate",
          "John Wall",
          "Kelly Olynyk",
          "Kenyon Martin Jr.",
          "Kevin Porter Jr.",
          "Sterling Brown",
          "Ben Simmons",
          "Danny Green",
          "Dwight Howard",
          "Furkan Korkmaz",
          "Gary Clark",
          "George Hill",
          "Joel Embiid",
          "Matisse Thybulle",
          "Mike Scott",
          "Seth Curry",
          "Shake Milton",
          "Tobias Harris",
          "Tyrese Maxey",
          "Aron Baynes",
          "Chris Boucher",
          "DeAndre' Bembry",
          "Fred VanVleet",
          "Gary Trent Jr.",
          "Khem Birch",
          "Kyle Lowry",
          "Malachi Flynn",
          "OG Anunoby",
          "Pascal Siakam",
          "Rodney Hood",
          "Stanley Johnson",
          "Yuta Watanabe",
          "Bobby Portis",
          "Brook Lopez",
          "Bryn Forbes",
          "Donte DiVincenzo",
          "Giannis Antetokounmpo",
          "Jeff Teague",
          "Jrue Holiday",
          "Justin Jackson",
          "Khris Middleton",
          "P.J. Tucker",
          "Pat Connaughton",
          "Thanasis Antetokounmpo",
          "Bismack Biyombo",
          "Brad Wanamaker",
          "Caleb Martin",
          "Cody Martin",
          "Cody Zeller",
          "Devonte' Graham",
          "Gordon Hayward",
          "Jalen McDaniels",
          "LaMelo Ball",
          "Malik Monk",
          "Miles Bridges",
          "P.J. Washington",
          "Terry Rozier",
          "Dorian Finney-Smith",
          "Dwight Powell",
          "JJ Redick",
          "Jalen Brunson",
          "Josh Richardson",
          "Kristaps Porzingis",
          "Luka Doncic",
          "Maxi Kleber",
          "Nicolo Melli",
          "Tim Hardaway Jr.",
          "Trey Burke",
          "Willie Cauley-Stein",
          "Bogdan Bogdanovic",
          "Brandon Goodwin",
          "Cam Reddish",
          "Clint Capela",
          "Danilo Gallinari",
          "De'Andre Hunter",
          "John Collins",
          "Kevin Huerter",
          "Lou Williams",
          "Onyeka Okongwu",
          "Solomon Hill",
          "Tony Snell",
          "Trae Young",
          "Bojan Bogdanovic",
          "Derrick Favors",
          "Donovan Mitchell",
          "Georges Niang",
          "Joe Ingles",
          "Jordan Clarkson",
          "Mike Conley",
          "Miye Oni",
          "Royce O'Neale",
          "Rudy Gobert",
          "Brandon Clarke",
          "De'Anthony Melton",
          "Desmond Bane",
          "Dillon Brooks",
          "Grayson Allen",
          "Ja Morant",
          "John Konchar",
          "Jonas Valanciunas",
          "Justise Winslow",
          "Kyle Anderson",
          "Tyus Jones",
          "Xavier Tillman",
          "Brandon Ingram",
          "Eric Bledsoe",
          "James Johnson",
          "Jaxson Hayes",
          "Josh Hart",
          "Kira Lewis Jr.",
          "Lonzo Ball",
          "Naji Marshall",
          "Nickeil Alexander-Walker",
          "Steven Adams",
          "Wes Iwundu",
          "Willy Hernangomez",
          "Zion Williamson",
          "Buddy Hield",
          "Damian Jones",
          "De'Aaron Fox",
          "Delon Wright",
          "Harrison Barnes",
          "Hassan Whiteside",
          "Marvin Bagley III",
          "Maurice Harkless",
          "Richaun Holmes",
          "Terence Davis",
          "Tyrese Haliburton",
          "Chasson Randle",
          "Chuma Okeke",
          "Cole Anthony",
          "Dwayne Bacon",
          "Gary Harris",
          "James Ennis III",
          "Michael Carter-Williams",
          "Mo Bamba",
          "Moritz Wagner",
          "Otto Porter Jr.",
          "R.J. Hampton",
          "Terrence Ross",
          "Wendell Carter Jr.",
          "Cory Joseph",
          "Frank Jackson",
          "Hamidou Diallo",
          "Isaiah Stewart",
          "Jerami Grant",
          "Josh Jackson",
          "Killian Hayes",
          "Mason Plumlee",
          "Saben Lee",
          "Saddiq Bey",
          "Sekou Doumbouya",
          "Wayne Ellington",
          "DeMar DeRozan",
          "Dejounte Murray",
          "Derrick White",
          "Devin Vassell",
          "Drew Eubanks",
          "Gorgui Dieng",
          "Jakob Poeltl",
          "Keldon Johnson",
          "Lonnie Walker IV",
          "Patty Mills",
          "Rudy Gay"
         ],
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "mode": "markers",
         "name": "",
         "orientation": "v",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0.5220440881763527,
          0.536734693877551,
          0.5015873015873016,
          0.5681818181818182,
          0.5195035460992907,
          0.5587121212121212,
          0.6462668298653611,
          0.5465116279069767,
          0.6017014694508894,
          0.4830985915492958,
          0.5374064837905237,
          0.506578947368421,
          0.46674311926605505,
          0.4926289926289926,
          0.5641592920353983,
          0.6157894736842106,
          0.5868794326241135,
          0.4793814432989691,
          0.5289855072463768,
          0.5512,
          0.5270408163265307,
          0.5567129629629629,
          0.5927152317880795,
          0.5744897959183674,
          0.550561797752809,
          0.5277777777777778,
          0.5646950092421442,
          0.5344129554655871,
          0.5576057605760576,
          0.529969650986343,
          0.4892156862745098,
          0.5447761194029851,
          0.562200956937799,
          0.7209302325581395,
          0.5339366515837104,
          0.5184049079754601,
          0.5414078674948241,
          0.5759493670886076,
          0.5574516496018203,
          0.5160818713450293,
          0.62882096069869,
          0.533022533022533,
          0.5311284046692607,
          0.5548780487804879,
          0.547085201793722,
          0.6427503736920778,
          0.566079295154185,
          0.5060975609756098,
          0.5933476394849786,
          0.46875,
          0.5026246719160105,
          0.5940499040307101,
          0.5401146131805158,
          0.5340909090909091,
          0.56797583081571,
          0.5775075987841946,
          0.5069444444444444,
          0.5957257346393589,
          0.522,
          0.5106382978723404,
          0.454983922829582,
          0.496551724137931,
          0.5162755488266465,
          0.6534090909090909,
          0.6143497757847534,
          0.5598086124401914,
          0.4990566037735849,
          0.5873440285204992,
          0.6360759493670886,
          0.4117647058823529,
          0.4557971014492754,
          0.5198135198135199,
          0.5140532544378699,
          0.5961070559610706,
          0.4749608763693271,
          0.5730337078651685,
          0.5707964601769911,
          0.5148221343873518,
          0.4535830618892508,
          0.6649746192893401,
          0.5696864111498258,
          0.5434782608695652,
          0.6076642335766423,
          0.4921052631578947,
          0.5268456375838926,
          0.5353260869565217,
          0.5348101265822784,
          0.6674641148325359,
          0.5013812154696132,
          0.5446428571428571,
          0.5583756345177665,
          0.6094339622641509,
          0.6054945054945055,
          0.5262295081967213,
          0.493006993006993,
          0.5122349102773246,
          0.5027397260273972,
          0.48355263157894735,
          0.549407114624506,
          0.5330250990752973,
          0.5759416767922235,
          0.5824742268041238,
          0.49074074074074076,
          0.6218905472636815,
          0.49591002044989774,
          0.48412698412698413,
          0.6294964028776978,
          0.5318379160636758,
          0.6844444444444444,
          0.5805439330543933,
          0.5016025641025641,
          0.569620253164557,
          0.46464646464646464,
          0.5391498881431768,
          0.6388235294117647,
          0.5131172839506173,
          0.47415185783521807,
          0.5085158150851582,
          0.5756501182033097,
          0.7630522088353414,
          0.5483651226158038,
          0.589622641509434,
          0.6541725601131542,
          0.6077943615257048,
          0.5755064456721916,
          0.5253378378378378,
          0.5493421052631579,
          0.6241379310344828,
          0.4705056179775281,
          0.5245901639344263,
          0.5032786885245901,
          0.6535532994923858,
          0.5677312775330396,
          0.5966183574879227,
          0.5924657534246576,
          0.5970873786407767,
          0.55,
          0.5575757575757576,
          0.5566631689401889,
          0.5255813953488372,
          0.5538461538461539,
          0.563013698630137,
          0.5628571428571428,
          0.45819112627986347,
          0.5194570135746607,
          0.48464163822525597,
          0.5168329177057357,
          0.5562700964630225,
          0.5384615384615384,
          0.47584973166368516,
          0.5555555555555556,
          0.6244813278008299,
          0.5218253968253969,
          0.5459558823529411,
          0.4954128440366973,
          0.5040322580645161,
          0.57125,
          0.6136680613668062,
          0.47639484978540775,
          0.5144144144144144,
          0.514266304347826,
          0.5775075987841946,
          0.5882352941176471,
          0.5229591836734694,
          0.543859649122807,
          0.5145228215767634,
          0.5157367668097281,
          0.4756944444444444,
          0.5685785536159601,
          0.5537330316742082,
          0.5064350064350064,
          0.5543478260869565,
          0.5542763157894737,
          0.6051693404634582,
          0.5315315315315315,
          0.5508982035928144,
          0.5702614379084967,
          0.5333988212180747,
          0.4876135425268373,
          0.5230061349693251,
          0.5449591280653951,
          0.5570652173913043,
          0.6080508474576272,
          0.49850746268656715,
          0.48140495867768596,
          0.45866141732283466,
          0.5267558528428093,
          0.5554285714285714,
          0.5466666666666666,
          0.5757314974182444,
          0.4538152610441767,
          0.5625,
          0.47076023391812866,
          0.57421875,
          0.5145772594752187,
          0.5036764705882353,
          0.5252293577981652,
          0.5272479564032697,
          0.5536,
          0.45798898071625344,
          0.5738880918220947,
          0.5644654088050315,
          0.49318801089918257,
          0.5835820895522388,
          0.5600343053173242,
          0.5726102941176471,
          0.5957095709570958,
          0.5200471698113207,
          0.42045454545454547,
          0.5609137055837563,
          0.5450500556173526,
          0.5082304526748971,
          0.48578199052132703,
          0.5815217391304348,
          0.5029985007496252,
          0.5562770562770563,
          0.4976689976689977,
          0.48519736842105265,
          0.5946428571428571,
          0.543859649122807,
          0.4885057471264368,
          0.5127388535031847,
          0.5144736842105263,
          0.5461409395973155,
          0.45294117647058824,
          0.5799614643545279,
          0.4927159209157128,
          0.4269230769230769,
          0.47854077253218885,
          0.5388888888888889,
          0.5852842809364549,
          0.57734375,
          0.6181474480151229,
          0.5281923714759535,
          0.5995454545454545,
          0.4964788732394366,
          0.5704738760631834,
          0.4841628959276018,
          0.5460893854748603,
          0.4858757062146893,
          0.5645994832041343,
          0.5145985401459854,
          0.5867768595041323,
          0.411371237458194,
          0.435546875,
          0.48404255319148937,
          0.5648148148148148,
          0.5104633781763827,
          0.5372340425531915,
          0.5299295774647887,
          0.5044642857142857,
          0.5401002506265664,
          0.5964630225080386,
          0.521865889212828,
          0.5476190476190477,
          0.5997854077253219,
          0.6314432989690721,
          0.5205992509363296,
          0.5877192982456141,
          0.49838187702265374,
          0.5468521229868228,
          0.5499629903774982,
          0.58,
          0.4078014184397163,
          0.5603732162458837,
          0.509915014164306,
          0.6346153846153846,
          0.6017699115044248,
          0.4484304932735426,
          0.42775665399239543,
          0.5942446043165468,
          0.5421052631578948,
          0.5463709677419355,
          0.6102464332036317,
          0.5280437756497948,
          0.46362229102167185,
          0.6442953020134228,
          0.47315436241610737,
          0.695906432748538,
          0.49910071942446044,
          0.5362162162162162,
          0.6378600823045267,
          0.5197066911090742,
          0.5901234567901235,
          0.652135231316726,
          0.521860465116279,
          0.5515625,
          0.5050505050505051,
          0.5799492385786802,
          0.6753022452504318,
          0.5373737373737374,
          0.5483460559796438,
          0.5861723446893787,
          0.481086323957323,
          0.5471014492753623,
          0.48746081504702193,
          0.5760869565217391,
          0.6063257065948856,
          0.3761904761904762,
          0.5395136778115501,
          0.4854721549636804,
          0.5953177257525084,
          0.5308810172570391,
          0.5034246575342466,
          0.4938837920489297,
          0.6357142857142857,
          0.5305232558139535,
          0.44510385756676557,
          0.5371428571428571,
          0.46172248803827753,
          0.5021834061135371,
          0.6136363636363636,
          0.35784313725490197,
          0.5652985074626866,
          0.6162005785920925,
          0.5483870967741935,
          0.6844660194174758,
          0.522972972972973,
          0.525096525096525,
          0.5747663551401869,
          0.5625,
          0.5418367346938775,
          0.48787878787878786,
          0.6382608695652174,
          0.5350877192982456,
          0.5694668820678513,
          0.4810126582278481,
          0.49228395061728397,
          0.4492753623188406,
          0.4428374655647383,
          0.46956521739130436,
          0.565843621399177,
          0.4166666666666667,
          0.5348837209302325,
          0.5218340611353712,
          0.5176211453744494,
          0.4776357827476038,
          0.48457792207792205,
          0.5196936542669585,
          0.5223004694835681,
          0.5614334470989761,
          0.5063829787234042,
          0.578239608801956,
          0.49087982832618027,
          0.47312588401697314,
          0.40298507462686567,
          0.6141732283464567,
          0.49047619047619045,
          0.5303907380607815,
          0.425531914893617,
          0.6124260355029586,
          0.5048913043478261,
          0.4851129363449692,
          0.5033112582781457,
          0.49174917491749176,
          0.5707317073170731,
          0.6134969325153374,
          0.6162790697674418,
          0.5219858156028369,
          0.5024630541871922,
          0.544189852700491,
          0.5047770700636943
         ],
         "xaxis": "x",
         "y": [
          108.91548459357072,
          109.06667992244319,
          116.573847194545,
          115.96191759347576,
          103.79124430833384,
          116.44137176727436,
          125.32533070302314,
          121.24345587431213,
          130.38961357261493,
          104.11840169771934,
          116.63593213376402,
          107.24105604928025,
          98.87902033093951,
          106.65383178034469,
          115.42124168362552,
          121.09098872226878,
          111.61646435474344,
          115.50670377325594,
          119.1097193731657,
          111.57456631463025,
          113.30955838472238,
          111.71451890155764,
          129.47351717916604,
          117.21027100608161,
          112.85853146948668,
          114.18030130427181,
          116.56838875272966,
          104.6023377482713,
          111.9633713934297,
          113.72509362763836,
          113.52569249002038,
          120.12080511660234,
          116.7252158476767,
          139.1884463766538,
          114.47866231918586,
          115.68566708878573,
          112.19551367640025,
          121.63837851578543,
          124.03086377593257,
          109.19972475593455,
          127.07977984012493,
          110.407926054175,
          116.80081029685712,
          113.25208491046035,
          115.41095319064442,
          131.30634159796884,
          119.35909294304297,
          105.7860958307083,
          118.93188913491089,
          99.88804677853847,
          105.01814970123624,
          115.42898852856828,
          113.14515924741441,
          104.89581496311658,
          115.79248666295707,
          118.49017509546151,
          103.82495263766005,
          114.92936241659812,
          113.61316352680535,
          111.97009954736205,
          98.97684555216173,
          113.49346196994483,
          110.91719593347224,
          131.2746289250971,
          121.03759329254274,
          112.0846414327755,
          106.18119005970819,
          118.49224575906774,
          138.74350510553165,
          81.03875284526848,
          92.52674656751374,
          101.6655113370098,
          111.19862226791722,
          115.66201090111096,
          99.92002922902556,
          115.70715056058212,
          117.7370798820413,
          98.08567653513187,
          94.04508276082056,
          129.87214724405254,
          113.16007875536451,
          107.37733942105758,
          121.18990519923123,
          109.85113167908742,
          105.68216254352214,
          99.50300797258747,
          111.3244154825616,
          121.35810573918373,
          103.32177984859344,
          101.38920290733124,
          129.65841419029022,
          113.0376423823181,
          118.98655414023469,
          106.1342702439688,
          101.362757438249,
          110.2729527494837,
          99.57559810039488,
          107.2787481198472,
          114.26740011195358,
          105.14310722557325,
          113.89298762250029,
          114.93066375547811,
          101.11917180576648,
          126.9843415679327,
          102.83572162827174,
          106.16882648902937,
          119.31383019588515,
          113.82068424004892,
          131.02610936671493,
          120.43659033446184,
          103.0737803238138,
          129.98182373875426,
          105.5334253060084,
          115.20393218764839,
          124.07246336005402,
          107.32900941719588,
          104.54672769725173,
          111.08771409159186,
          124.17495650636047,
          127.02680300473537,
          122.27509211267926,
          122.15273808077826,
          125.69953635829212,
          121.79022817094373,
          121.2761053816574,
          110.602185608181,
          112.89187351415629,
          123.76545194488624,
          100.04677686657494,
          110.9702604584687,
          105.34272810898094,
          135.14626983662933,
          125.63902563720966,
          117.41562837551314,
          116.63208828891409,
          124.47926018493654,
          117.51051888458004,
          118.8446632204696,
          112.9378521983663,
          108.65733458468839,
          116.35548532271306,
          118.74452775281578,
          124.97123929319767,
          100.3755089323082,
          110.85133267987021,
          98.97192514481361,
          104.63257386938128,
          115.85954135493056,
          102.72649903967373,
          102.73967766518714,
          112.24963247890712,
          126.34520460904048,
          107.53194546829741,
          109.27417828860841,
          105.65720532009797,
          102.59042760002464,
          121.64091946340163,
          112.87783416717471,
          97.85067357039192,
          104.28978472691553,
          126.95878162967075,
          110.6385306137473,
          115.40692866041162,
          110.45363833153563,
          106.6738807035524,
          110.98525486080165,
          103.64842277651624,
          99.47552759378544,
          116.82281881852552,
          120.15632065894255,
          111.56941433561744,
          125.19672000602866,
          120.76643200461177,
          133.34941118881625,
          113.27105970512396,
          120.6544341775926,
          118.28386510916233,
          112.64377969716752,
          101.75407138373053,
          108.21561098623683,
          108.14688849771382,
          107.28301577291424,
          121.56071746264234,
          107.1572530324575,
          110.30382504295477,
          108.95634463431647,
          110.90588238749007,
          116.85396637220926,
          109.1499104973813,
          114.79461048980181,
          113.45288405870404,
          105.20655811896178,
          94.50841183799504,
          110.66776182415161,
          114.71512164669579,
          103.74335982530675,
          114.91045317906767,
          108.49192095871459,
          114.39302879981446,
          99.37919399446062,
          114.91808637584073,
          116.89468859033927,
          100.81197002801825,
          114.0409554816505,
          114.49488865620047,
          113.74262359396288,
          112.99465441850343,
          108.14536552727274,
          99.64154972549578,
          117.96328568996819,
          121.30190819163742,
          104.100476146296,
          101.48241429907767,
          118.07202014388945,
          108.78595295473595,
          118.42756532606063,
          109.94172971818983,
          103.94510958951626,
          127.4184345508919,
          104.42686364582924,
          112.57052805647622,
          106.48769372435731,
          122.90896043622881,
          117.08469813357567,
          103.23017833375867,
          113.27822176553784,
          110.801492180799,
          92.16256516063491,
          101.71472100829577,
          116.87790834169043,
          120.81963790186919,
          120.92518479890731,
          118.56163802614006,
          111.91477370261642,
          121.64743533741628,
          111.3108609708344,
          120.51134519476858,
          104.07833814057356,
          115.94728601155657,
          106.49546539447763,
          120.92377986271833,
          103.99157153272056,
          112.53065772515403,
          102.76065499698394,
          98.84150842341043,
          106.55096853359969,
          122.68372640780485,
          115.44198294380278,
          114.113980564657,
          106.93368298532278,
          107.51353655194684,
          107.71621627543459,
          115.91665250938597,
          104.71097621095595,
          113.4913150386061,
          123.71400522193763,
          135.76103647990774,
          107.71325927597925,
          123.20440118193162,
          108.73593793896164,
          116.85593482938368,
          113.82453933748818,
          123.03292657997078,
          105.47159155253986,
          116.15388274267029,
          110.20456595113698,
          128.2169623623671,
          121.56249101698671,
          100.52227343000798,
          99.57096536744562,
          125.40560992618617,
          122.94296197810499,
          118.85338853864702,
          124.94107490572115,
          112.49131507222474,
          105.59248935028901,
          124.62180149866991,
          104.2892676145027,
          135.3307273483621,
          117.30420743802435,
          113.40318618373149,
          138.13929505383106,
          115.11055808506524,
          114.11800571114028,
          128.60791713277914,
          109.30895953572116,
          122.6796035781636,
          110.41477116987173,
          120.72345175260124,
          130.95617550336016,
          119.38038791224909,
          109.76047763241452,
          115.2306320239634,
          101.68779151510188,
          115.85588680013734,
          108.05381776406313,
          125.46971070049482,
          125.92373947911244,
          82.22833917446786,
          117.71837823206354,
          115.22122778494435,
          118.76093405848837,
          115.38604469215352,
          108.19334395416232,
          102.81428567840614,
          132.02044584724266,
          116.5333957466629,
          105.64361104641817,
          110.4566027894819,
          105.85097067737297,
          101.08026277579553,
          121.83330695272797,
          89.9274690486579,
          125.03872919805868,
          124.22214356676828,
          108.8259376287741,
          129.8002378235949,
          112.59207020199273,
          118.06348662799924,
          122.60150717447303,
          107.13109684222377,
          109.18514645710702,
          106.58606052889714,
          129.8747752838719,
          104.21924079991342,
          118.11725897576059,
          97.82630368001713,
          106.67948507614715,
          98.46919551300012,
          101.61793647734778,
          104.0873524728094,
          120.05444247755331,
          92.52357315278054,
          111.0423387243475,
          109.37210235740335,
          112.07246062651673,
          99.79500181735156,
          102.78353465617309,
          113.41624044855942,
          111.55294837193563,
          112.01850142883329,
          105.54597458590318,
          117.59129508296951,
          108.93912766903415,
          96.67772223082565,
          81.58011500263368,
          122.4985288337269,
          111.67276684903757,
          111.67194899538757,
          92.65691034092205,
          117.89392815368531,
          121.82486561212107,
          105.73412355355674,
          110.83047853471138,
          107.71725527420422,
          118.38858236807577,
          126.25815723908434,
          123.39715263716889,
          110.74337427444728,
          100.13962950964108,
          110.95057168623022,
          103.26540505618884
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "<b>OLS trendline</b><br>ORtg = 139.779 * EFG_PCT + 37.4175<br>R<sup>2</sup>=0.698294<br><br>EFG_PCT=%{x}<br>ORtg=%{y} <b>(trend)</b><extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "",
         "showlegend": false,
         "type": "scatter",
         "x": [
          0.35784313725490197,
          0.3761904761904762,
          0.40298507462686567,
          0.4078014184397163,
          0.411371237458194,
          0.4117647058823529,
          0.4166666666666667,
          0.42045454545454547,
          0.425531914893617,
          0.4269230769230769,
          0.42775665399239543,
          0.435546875,
          0.4428374655647383,
          0.44510385756676557,
          0.4484304932735426,
          0.4492753623188406,
          0.45294117647058824,
          0.4535830618892508,
          0.4538152610441767,
          0.454983922829582,
          0.4557971014492754,
          0.45798898071625344,
          0.45819112627986347,
          0.45866141732283466,
          0.46172248803827753,
          0.46362229102167185,
          0.46464646464646464,
          0.46674311926605505,
          0.46875,
          0.46956521739130436,
          0.4705056179775281,
          0.47076023391812866,
          0.47312588401697314,
          0.47315436241610737,
          0.47415185783521807,
          0.4749608763693271,
          0.4756944444444444,
          0.47584973166368516,
          0.47639484978540775,
          0.4776357827476038,
          0.47854077253218885,
          0.4793814432989691,
          0.4810126582278481,
          0.481086323957323,
          0.48140495867768596,
          0.4830985915492958,
          0.48355263157894735,
          0.48404255319148937,
          0.48412698412698413,
          0.4841628959276018,
          0.48457792207792205,
          0.48464163822525597,
          0.4851129363449692,
          0.48519736842105265,
          0.4854721549636804,
          0.48578199052132703,
          0.4858757062146893,
          0.48746081504702193,
          0.4876135425268373,
          0.48787878787878786,
          0.4885057471264368,
          0.4892156862745098,
          0.49047619047619045,
          0.49074074074074076,
          0.49087982832618027,
          0.49174917491749176,
          0.4921052631578947,
          0.49228395061728397,
          0.4926289926289926,
          0.4927159209157128,
          0.493006993006993,
          0.49318801089918257,
          0.4938837920489297,
          0.4954128440366973,
          0.49591002044989774,
          0.4964788732394366,
          0.496551724137931,
          0.4976689976689977,
          0.49838187702265374,
          0.49850746268656715,
          0.4990566037735849,
          0.49910071942446044,
          0.5013812154696132,
          0.5015873015873016,
          0.5016025641025641,
          0.5021834061135371,
          0.5024630541871922,
          0.5026246719160105,
          0.5027397260273972,
          0.5029985007496252,
          0.5032786885245901,
          0.5033112582781457,
          0.5034246575342466,
          0.5036764705882353,
          0.5040322580645161,
          0.5044642857142857,
          0.5047770700636943,
          0.5048913043478261,
          0.5050505050505051,
          0.5060975609756098,
          0.5063829787234042,
          0.5064350064350064,
          0.506578947368421,
          0.5069444444444444,
          0.5082304526748971,
          0.5085158150851582,
          0.509915014164306,
          0.5104633781763827,
          0.5106382978723404,
          0.5122349102773246,
          0.5127388535031847,
          0.5131172839506173,
          0.5140532544378699,
          0.514266304347826,
          0.5144144144144144,
          0.5144736842105263,
          0.5145228215767634,
          0.5145772594752187,
          0.5145985401459854,
          0.5148221343873518,
          0.5157367668097281,
          0.5160818713450293,
          0.5162755488266465,
          0.5168329177057357,
          0.5176211453744494,
          0.5184049079754601,
          0.5194570135746607,
          0.5195035460992907,
          0.5196936542669585,
          0.5197066911090742,
          0.5198135198135199,
          0.5200471698113207,
          0.5205992509363296,
          0.5218253968253969,
          0.5218340611353712,
          0.521860465116279,
          0.521865889212828,
          0.5219858156028369,
          0.522,
          0.5220440881763527,
          0.5223004694835681,
          0.5229591836734694,
          0.522972972972973,
          0.5230061349693251,
          0.5245901639344263,
          0.525096525096525,
          0.5252293577981652,
          0.5253378378378378,
          0.5255813953488372,
          0.5262295081967213,
          0.5267558528428093,
          0.5268456375838926,
          0.5270408163265307,
          0.5272479564032697,
          0.5277777777777778,
          0.5280437756497948,
          0.5281923714759535,
          0.5289855072463768,
          0.5299295774647887,
          0.529969650986343,
          0.5303907380607815,
          0.5305232558139535,
          0.5308810172570391,
          0.5311284046692607,
          0.5315315315315315,
          0.5318379160636758,
          0.533022533022533,
          0.5330250990752973,
          0.5333988212180747,
          0.5339366515837104,
          0.5340909090909091,
          0.5344129554655871,
          0.5348101265822784,
          0.5348837209302325,
          0.5350877192982456,
          0.5353260869565217,
          0.5362162162162162,
          0.536734693877551,
          0.5371428571428571,
          0.5372340425531915,
          0.5373737373737374,
          0.5374064837905237,
          0.5384615384615384,
          0.5388888888888889,
          0.5391498881431768,
          0.5395136778115501,
          0.5401002506265664,
          0.5401146131805158,
          0.5414078674948241,
          0.5418367346938775,
          0.5421052631578948,
          0.5434782608695652,
          0.543859649122807,
          0.543859649122807,
          0.544189852700491,
          0.5446428571428571,
          0.5447761194029851,
          0.5449591280653951,
          0.5450500556173526,
          0.5459558823529411,
          0.5460893854748603,
          0.5461409395973155,
          0.5463709677419355,
          0.5465116279069767,
          0.5466666666666666,
          0.5468521229868228,
          0.547085201793722,
          0.5471014492753623,
          0.5476190476190477,
          0.5483460559796438,
          0.5483651226158038,
          0.5483870967741935,
          0.5493421052631579,
          0.549407114624506,
          0.5499629903774982,
          0.55,
          0.550561797752809,
          0.5508982035928144,
          0.5512,
          0.5515625,
          0.5536,
          0.5537330316742082,
          0.5538461538461539,
          0.5542763157894737,
          0.5543478260869565,
          0.5548780487804879,
          0.5554285714285714,
          0.5555555555555556,
          0.5562700964630225,
          0.5562770562770563,
          0.5566631689401889,
          0.5567129629629629,
          0.5570652173913043,
          0.5574516496018203,
          0.5575757575757576,
          0.5576057605760576,
          0.5583756345177665,
          0.5587121212121212,
          0.5598086124401914,
          0.5600343053173242,
          0.5603732162458837,
          0.5609137055837563,
          0.5614334470989761,
          0.562200956937799,
          0.5625,
          0.5625,
          0.5628571428571428,
          0.563013698630137,
          0.5641592920353983,
          0.5644654088050315,
          0.5645994832041343,
          0.5646950092421442,
          0.5648148148148148,
          0.5652985074626866,
          0.565843621399177,
          0.566079295154185,
          0.5677312775330396,
          0.56797583081571,
          0.5681818181818182,
          0.5685785536159601,
          0.5694668820678513,
          0.569620253164557,
          0.5696864111498258,
          0.5702614379084967,
          0.5704738760631834,
          0.5707317073170731,
          0.5707964601769911,
          0.57125,
          0.5726102941176471,
          0.5730337078651685,
          0.5738880918220947,
          0.57421875,
          0.5744897959183674,
          0.5747663551401869,
          0.5755064456721916,
          0.5756501182033097,
          0.5757314974182444,
          0.5759416767922235,
          0.5759493670886076,
          0.5760869565217391,
          0.57734375,
          0.5775075987841946,
          0.5775075987841946,
          0.578239608801956,
          0.5799492385786802,
          0.5799614643545279,
          0.58,
          0.5805439330543933,
          0.5815217391304348,
          0.5824742268041238,
          0.5835820895522388,
          0.5852842809364549,
          0.5861723446893787,
          0.5867768595041323,
          0.5868794326241135,
          0.5873440285204992,
          0.5877192982456141,
          0.5882352941176471,
          0.589622641509434,
          0.5901234567901235,
          0.5924657534246576,
          0.5927152317880795,
          0.5933476394849786,
          0.5940499040307101,
          0.5942446043165468,
          0.5946428571428571,
          0.5953177257525084,
          0.5957095709570958,
          0.5957257346393589,
          0.5961070559610706,
          0.5964630225080386,
          0.5966183574879227,
          0.5970873786407767,
          0.5995454545454545,
          0.5997854077253219,
          0.6017014694508894,
          0.6017699115044248,
          0.6051693404634582,
          0.6054945054945055,
          0.6063257065948856,
          0.6076642335766423,
          0.6077943615257048,
          0.6080508474576272,
          0.6094339622641509,
          0.6102464332036317,
          0.6124260355029586,
          0.6134969325153374,
          0.6136363636363636,
          0.6136680613668062,
          0.6141732283464567,
          0.6143497757847534,
          0.6157894736842106,
          0.6162005785920925,
          0.6162790697674418,
          0.6181474480151229,
          0.6218905472636815,
          0.6241379310344828,
          0.6244813278008299,
          0.62882096069869,
          0.6294964028776978,
          0.6314432989690721,
          0.6346153846153846,
          0.6357142857142857,
          0.6360759493670886,
          0.6378600823045267,
          0.6382608695652174,
          0.6388235294117647,
          0.6427503736920778,
          0.6442953020134228,
          0.6462668298653611,
          0.652135231316726,
          0.6534090909090909,
          0.6535532994923858,
          0.6541725601131542,
          0.6649746192893401,
          0.6674641148325359,
          0.6753022452504318,
          0.6844444444444444,
          0.6844660194174758,
          0.695906432748538,
          0.7209302325581395,
          0.7630522088353414
         ],
         "xaxis": "x",
         "y": [
          87.43657764938818,
          90.00115673547,
          93.74648825254836,
          94.41971365363727,
          94.91870063087865,
          94.97369939092636,
          95.65889227652073,
          96.18835950629821,
          96.89807089940419,
          97.09252662176436,
          97.20904348157265,
          98.29795549994284,
          99.31702950043783,
          99.63382429829228,
          100.09881927061883,
          100.21691451547466,
          100.72931962991913,
          100.81904195565494,
          100.85149860229018,
          101.01485338545943,
          101.12851896326544,
          101.43489841954772,
          101.46315419476389,
          101.52889117043165,
          101.95676564124227,
          102.22231886484585,
          102.36547718703542,
          102.65854620412938,
          102.93906668596102,
          103.05301724193487,
          103.18446582335787,
          103.22005587369378,
          103.5507249036707,
          103.55470559575261,
          103.69413485572849,
          103.80721893948112,
          103.90975660721972,
          103.93146255358059,
          104.00765880957843,
          104.18111561076648,
          104.30761449340085,
          104.42512290561996,
          104.65313306590517,
          104.66343001358985,
          104.70796856726304,
          104.94470346692793,
          105.00816888653878,
          105.07664981043496,
          105.08845151160529,
          105.09347123970488,
          105.15148332467402,
          105.16038952624757,
          105.22626727044636,
          105.23806913104741,
          105.27647861499679,
          105.31978722743673,
          105.33288674601425,
          105.55445222615492,
          105.57580037380617,
          105.61287619633725,
          105.70051215161078,
          105.79974698331753,
          105.97593943961323,
          106.01291810328024,
          106.03235967537984,
          106.15387637567423,
          106.2036501579837,
          106.22862697467107,
          106.27685672232846,
          106.28900750162646,
          106.32969336895908,
          106.35499593202536,
          106.45225176794779,
          106.66598165886714,
          106.73547665407403,
          106.81499052647993,
          106.82517357762086,
          106.98134534406981,
          107.0809911557979,
          107.09854543810093,
          107.1753040215674,
          107.18147047851255,
          107.50023673032857,
          107.52904331362717,
          107.53117669806949,
          107.61236641603838,
          107.65145544162826,
          107.67404626249461,
          107.69012845124504,
          107.72629981336806,
          107.7654642780555,
          107.77001685699358,
          107.78586773115,
          107.82106599582096,
          107.87079773751734,
          107.93118628100578,
          107.97490707363755,
          107.99087466746826,
          108.01312763799515,
          108.15948443321818,
          108.19937994010127,
          108.20665233974134,
          108.22677230965974,
          108.27786125288387,
          108.45761864570957,
          108.49750641754827,
          108.69308555347897,
          108.76973551791633,
          108.7941856790853,
          109.01735912111849,
          109.08779997699145,
          109.14069673844716,
          109.27152608352151,
          109.30130606116751,
          109.32200878980541,
          109.3302934833012,
          109.33716187234876,
          109.34477116633732,
          109.34774576463616,
          109.37899962205879,
          109.50684634632302,
          109.55508483348743,
          109.58215694571825,
          109.66006560460139,
          109.77024355473097,
          109.87979738060531,
          110.0268600159844,
          110.03336430196876,
          110.05993749782056,
          110.06175977912008,
          110.07669222584582,
          110.10935167035313,
          110.18652121041504,
          110.35791108415253,
          110.35912217575736,
          110.36281290701072,
          110.36357108369339,
          110.38033431637612,
          110.38231700217275,
          110.388479618747,
          110.42431643087849,
          110.51639107129682,
          110.51831853059991,
          110.52295389285032,
          110.74436842985273,
          110.81514726327825,
          110.83371453179441,
          110.84887780108261,
          110.88292211133165,
          110.9735149030679,
          111.04708701486942,
          111.05963706749773,
          111.08691902501621,
          111.11587293002444,
          111.18993101665998,
          111.22711202595582,
          111.24788265375005,
          111.35874665513978,
          111.49070817535988,
          111.4963096261013,
          111.55516890309599,
          111.57369214832042,
          111.62369980981103,
          111.65827946115834,
          111.71462827139442,
          111.75745450173744,
          111.92303948865955,
          111.92339816984358,
          111.97563680754129,
          112.0508143857401,
          112.07237639962244,
          112.11739183211367,
          112.17290815211183,
          112.18319512213401,
          112.21170988114284,
          112.2450287571586,
          112.36945044530299,
          112.44192291509978,
          112.49897571047174,
          112.51172154773568,
          112.53124799876292,
          112.53582527157232,
          112.68330012628877,
          112.74303489067393,
          112.77951719643934,
          112.83036747933429,
          112.91235824535966,
          112.91436583379581,
          113.09513607950316,
          113.15508285724903,
          113.19261759104637,
          113.38453431689706,
          113.43784451852227,
          113.43784451852227,
          113.48400015953655,
          113.54732082543111,
          113.56594813735293,
          113.591528968984,
          113.60423876297196,
          113.73085463407247,
          113.74951561349857,
          113.75672181515617,
          113.78887499938492,
          113.80853638563696,
          113.83020760248365,
          113.85613056612021,
          113.88871016993531,
          113.89098123233637,
          113.96333079168485,
          114.06495154680027,
          114.0676166687839,
          114.07068820233098,
          114.20417866688439,
          114.2132656330705,
          114.29096558376034,
          114.29613876468784,
          114.37466648865484,
          114.42168907785663,
          114.46387398308136,
          114.51454399697104,
          114.79934441986836,
          114.81793950064048,
          114.8337516441542,
          114.8938794004103,
          114.90387506321503,
          114.97798924596225,
          115.05494094313465,
          115.0726907016948,
          115.17256876433237,
          115.17354160260479,
          115.22751217916735,
          115.23447235523793,
          115.28371024979452,
          115.33772549248218,
          115.3550732242428,
          115.35926702408261,
          115.46687950220596,
          115.51391339317604,
          115.66718022284846,
          115.69872742621158,
          115.74610017505978,
          115.82164942266598,
          115.89429855313563,
          116.0015805784974,
          116.04338062295352,
          116.04338062295352,
          116.09330181890397,
          116.11518508288222,
          116.27531538290029,
          116.3181041855739,
          116.33684501775264,
          116.35019758512587,
          116.36694393003972,
          116.43455417331151,
          116.5107498443003,
          116.54369216827186,
          116.77460518918804,
          116.80878868775267,
          116.83758146761974,
          116.89303688819493,
          117.01720686059753,
          117.03864497259852,
          117.04789249268813,
          117.12826935847795,
          117.15796382537084,
          117.19400331010405,
          117.20305442268736,
          117.26644992373949,
          117.45659094949193,
          117.51577544733468,
          117.63520068034046,
          117.68141986507757,
          117.71930648700425,
          117.75796375489645,
          117.86141312741043,
          117.88149558023062,
          117.89287071388875,
          117.92224944988561,
          117.92332439450516,
          117.94255655585098,
          118.118230329644,
          118.14113300597765,
          118.14113300597765,
          118.24345288947384,
          118.48242382611625,
          118.4841327371011,
          118.48951922452542,
          118.56554983258388,
          118.70222692900995,
          118.83536503564608,
          118.99022136898367,
          119.22815257196618,
          119.35228554491954,
          119.43678423198187,
          119.45112183588299,
          119.51606274767047,
          119.56851770541934,
          119.64064327232401,
          119.83456578711485,
          119.90456942084924,
          120.23197411879588,
          120.26684604194006,
          120.35524357790098,
          120.45340565869122,
          120.48062073782964,
          120.53628825849378,
          120.63062095318278,
          120.68539282065603,
          120.68765216963473,
          120.74095301561425,
          120.79070978769462,
          120.81242241000714,
          120.8779818812614,
          121.22157013017721,
          121.25511062936826,
          121.52293648936285,
          121.53250327502707,
          122.00767324074096,
          122.05312459698817,
          122.16930934540582,
          122.3564077750813,
          122.37459697504386,
          122.41044841154874,
          122.60377929832836,
          122.71734595705519,
          123.02200934679567,
          123.17169863366928,
          123.19118822494943,
          123.19561891306472,
          123.26623082444544,
          123.29090851037836,
          123.49214854503347,
          123.54961252128865,
          123.56058396665463,
          123.82174466116834,
          124.34495263610629,
          124.65909047578077,
          124.70709025211315,
          125.31368131200497,
          125.40809417984502,
          125.68023004740849,
          126.12362211294774,
          126.27722579279526,
          126.32777890261849,
          126.57716384253871,
          126.63318562478977,
          126.71183385165799,
          127.26072558745432,
          127.47667466194025,
          127.7522535409517,
          128.57253487350624,
          128.75059413761292,
          128.77075151945724,
          128.85731136567978,
          130.36721616152738,
          130.71519622705037,
          131.81080499158583,
          133.08869564025633,
          133.09171137593404,
          134.69084489976544,
          138.18865533818115,
          144.07643774653317
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "height": 600,
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "width": 800,
        "xaxis": {
         "anchor": "y",
         "autorange": true,
         "domain": [
          0,
          1
         ],
         "range": [
          0.33236165210274593,
          0.7885336939874975
         ],
         "title": {
          "text": "EFG_PCT"
         },
         "type": "linear"
        },
        "yaxis": {
         "anchor": "x",
         "autorange": true,
         "domain": [
          0,
          1
         ],
         "range": [
          76.9284345732177,
          147.61054317670767
         ],
         "title": {
          "text": "ORtg"
         },
         "type": "linear"
        }
       }
      },
      "image/png": "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",
      "text/html": [
       "<div>                            <div id=\"82c04eac-ef30-426b-aa7b-26b67f042c71\" class=\"plotly-graph-div\" style=\"height:600px; width:800px;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"82c04eac-ef30-426b-aa7b-26b67f042c71\")) {                    Plotly.newPlot(                        \"82c04eac-ef30-426b-aa7b-26b67f042c71\",                        [{\"hovertemplate\":\"<b>%{hovertext}</b><br><br>EFG_PCT=%{x}<br>ORtg=%{y}<extra></extra>\",\"hovertext\":[\"Aaron Gordon\",\"Austin Rivers\",\"Facundo Campazzo\",\"JaMychal Green\",\"JaVale McGee\",\"Jamal Murray\",\"Michael Porter Jr.\",\"Monte Morris\",\"Nikola Jokic\",\"PJ Dozier\",\"Paul Millsap\",\"Will Barton\",\"Aaron Holiday\",\"Caris LeVert\",\"Domantas Sabonis\",\"Doug McDermott\",\"Edmond Sumner\",\"Goga Bitadze\",\"Jeremy Lamb\",\"Justin Holiday\",\"Malcolm Brogdon\",\"Myles Turner\",\"Oshae Brissett\",\"T.J. McConnell\",\"Aaron Nesmith\",\"Al Horford\",\"Evan Fournier\",\"Grant Williams\",\"Jaylen Brown\",\"Jayson Tatum\",\"Marcus Smart\",\"Moses Brown\",\"Payton Pritchard\",\"Robert Williams III\",\"Semi Ojeleye\",\"Tristan Thompson\",\"Cameron Johnson\",\"Cameron Payne\",\"Chris Paul\",\"Dario Saric\",\"Deandre Ayton\",\"Devin Booker\",\"Frank Kaminsky\",\"Jae Crowder\",\"Jevon Carter\",\"Mikal Bridges\",\"Torrey Craig\",\"Coby White\",\"Daniel Theis\",\"Denzel Valentine\",\"Garrett Temple\",\"Lauri Markkanen\",\"Nikola Vucevic\",\"Patrick Williams\",\"Thaddeus Young\",\"Tomas Satoransky\",\"Troy Brown Jr.\",\"Zach LaVine\",\"Alec Burks\",\"Derrick Rose\",\"Elfrid Payton\",\"Immanuel Quickley\",\"Julius Randle\",\"Mitchell Robinson\",\"Nerlens Noel\",\"Obi Toppin\",\"RJ Barrett\",\"Reggie Bullock\",\"Taj Gibson\",\"Aleksej Pokusevski\",\"Darius Bazley\",\"Isaiah Roby\",\"Kemba Walker\",\"Kenrich Williams\",\"Luguentz Dort\",\"Mike Muscala\",\"Shai Gilgeous-Alexander\",\"Svi Mykhailiuk\",\"Theo Maledon\",\"Tony Bradley\",\"Ty Jerome\",\"Andrew Wiggins\",\"Damion Lee\",\"Draymond Green\",\"Eric Paschall\",\"James Wiseman\",\"Jordan Poole\",\"Juan Toscano-Anderson\",\"Kelly Oubre Jr.\",\"Kent Bazemore\",\"Kevon Looney\",\"Mychal Mulder\",\"Stephen Curry\",\"Alex Caruso\",\"Andre Drummond\",\"Anthony Davis\",\"Ben McLemore\",\"Dennis Schroder\",\"Kentavious Caldwell-Pope\",\"Kyle Kuzma\",\"LeBron James\",\"Marc Gasol\",\"Markieff Morris\",\"Montrezl Harrell\",\"Talen Horton-Tucker\",\"Wesley Matthews\",\"Alex Len\",\"Bradley Beal\",\"Daniel Gafford\",\"Davis Bertans\",\"Deni Avdija\",\"Garrison Mathews\",\"Ish Smith\",\"Raul Neto\",\"Robin Lopez\",\"Rui Hachimura\",\"Russell Westbrook\",\"Blake Griffin\",\"Bruce Brown\",\"DeAndre Jordan\",\"James Harden\",\"Jeff Green\",\"Joe Harris\",\"Kevin Durant\",\"Kyrie Irving\",\"LaMarcus Aldridge\",\"Landry Shamet\",\"Nicolas Claxton\",\"Timothe Luwawu-Cabarrot\",\"Tyler Johnson\",\"DeMarcus Cousins\",\"Ivica Zubac\",\"Kawhi Leonard\",\"Luke Kennard\",\"Marcus Morris Sr.\",\"Nicolas Batum\",\"Patrick Beverley\",\"Patrick Patterson\",\"Paul George\",\"Rajon Rondo\",\"Reggie Jackson\",\"Serge Ibaka\",\"Terance Mann\",\"Cedi Osman\",\"Collin Sexton\",\"Damyean Dotson\",\"Darius Garland\",\"Dean Wade\",\"Dylan Windler\",\"Isaac Okoro\",\"Isaiah Hartenstein\",\"Jarrett Allen\",\"Kevin Love\",\"Larry Nance Jr.\",\"Taurean Prince\",\"Andre Iguodala\",\"Bam Adebayo\",\"Duncan Robinson\",\"Gabe Vincent\",\"Goran Dragic\",\"Jimmy Butler\",\"Kendrick Nunn\",\"Max Strus\",\"Nemanja Bjelica\",\"Precious Achiuwa\",\"Trevor Ariza\",\"Tyler Herro\",\"Victor Oladipo\",\"Anfernee Simons\",\"CJ McCollum\",\"Carmelo Anthony\",\"Damian Lillard\",\"Derrick Jones Jr.\",\"Enes Kanter\",\"Jusuf Nurkic\",\"Nassir Little\",\"Norman Powell\",\"Robert Covington\",\"Anthony Edwards\",\"D'Angelo Russell\",\"Jaden McDaniels\",\"Jake Layman\",\"Jarred Vanderbilt\",\"Jaylen Nowell\",\"Jordan McLaughlin\",\"Josh Okogie\",\"Juancho Hernangomez\",\"Karl-Anthony Towns\",\"Malik Beasley\",\"Naz Reid\",\"Ricky Rubio\",\"Armoni Brooks\",\"Avery Bradley\",\"Christian Wood\",\"D.J. Augustin\",\"Danuel House Jr.\",\"David Nwaba\",\"Eric Gordon\",\"Jae'Sean Tate\",\"John Wall\",\"Kelly Olynyk\",\"Kenyon Martin Jr.\",\"Kevin Porter Jr.\",\"Sterling Brown\",\"Ben Simmons\",\"Danny Green\",\"Dwight Howard\",\"Furkan Korkmaz\",\"Gary Clark\",\"George Hill\",\"Joel Embiid\",\"Matisse Thybulle\",\"Mike Scott\",\"Seth Curry\",\"Shake Milton\",\"Tobias Harris\",\"Tyrese Maxey\",\"Aron Baynes\",\"Chris Boucher\",\"DeAndre' Bembry\",\"Fred VanVleet\",\"Gary Trent Jr.\",\"Khem Birch\",\"Kyle Lowry\",\"Malachi Flynn\",\"OG Anunoby\",\"Pascal Siakam\",\"Rodney Hood\",\"Stanley Johnson\",\"Yuta Watanabe\",\"Bobby Portis\",\"Brook Lopez\",\"Bryn Forbes\",\"Donte DiVincenzo\",\"Giannis Antetokounmpo\",\"Jeff Teague\",\"Jrue Holiday\",\"Justin Jackson\",\"Khris Middleton\",\"P.J. Tucker\",\"Pat Connaughton\",\"Thanasis Antetokounmpo\",\"Bismack Biyombo\",\"Brad Wanamaker\",\"Caleb Martin\",\"Cody Martin\",\"Cody Zeller\",\"Devonte' Graham\",\"Gordon Hayward\",\"Jalen McDaniels\",\"LaMelo Ball\",\"Malik Monk\",\"Miles Bridges\",\"P.J. Washington\",\"Terry Rozier\",\"Dorian Finney-Smith\",\"Dwight Powell\",\"JJ Redick\",\"Jalen Brunson\",\"Josh Richardson\",\"Kristaps Porzingis\",\"Luka Doncic\",\"Maxi Kleber\",\"Nicolo Melli\",\"Tim Hardaway Jr.\",\"Trey Burke\",\"Willie Cauley-Stein\",\"Bogdan Bogdanovic\",\"Brandon Goodwin\",\"Cam Reddish\",\"Clint Capela\",\"Danilo Gallinari\",\"De'Andre Hunter\",\"John Collins\",\"Kevin Huerter\",\"Lou Williams\",\"Onyeka Okongwu\",\"Solomon Hill\",\"Tony Snell\",\"Trae Young\",\"Bojan Bogdanovic\",\"Derrick Favors\",\"Donovan Mitchell\",\"Georges Niang\",\"Joe Ingles\",\"Jordan Clarkson\",\"Mike Conley\",\"Miye Oni\",\"Royce O'Neale\",\"Rudy Gobert\",\"Brandon Clarke\",\"De'Anthony Melton\",\"Desmond Bane\",\"Dillon Brooks\",\"Grayson Allen\",\"Ja Morant\",\"John Konchar\",\"Jonas Valanciunas\",\"Justise Winslow\",\"Kyle Anderson\",\"Tyus Jones\",\"Xavier Tillman\",\"Brandon Ingram\",\"Eric Bledsoe\",\"James Johnson\",\"Jaxson Hayes\",\"Josh Hart\",\"Kira Lewis Jr.\",\"Lonzo Ball\",\"Naji Marshall\",\"Nickeil Alexander-Walker\",\"Steven Adams\",\"Wes Iwundu\",\"Willy Hernangomez\",\"Zion Williamson\",\"Buddy Hield\",\"Damian Jones\",\"De'Aaron Fox\",\"Delon Wright\",\"Harrison Barnes\",\"Hassan Whiteside\",\"Marvin Bagley III\",\"Maurice Harkless\",\"Richaun Holmes\",\"Terence Davis\",\"Tyrese Haliburton\",\"Chasson Randle\",\"Chuma Okeke\",\"Cole Anthony\",\"Dwayne Bacon\",\"Gary Harris\",\"James Ennis III\",\"Michael Carter-Williams\",\"Mo Bamba\",\"Moritz Wagner\",\"Otto Porter Jr.\",\"R.J. Hampton\",\"Terrence Ross\",\"Wendell Carter Jr.\",\"Cory Joseph\",\"Frank Jackson\",\"Hamidou Diallo\",\"Isaiah Stewart\",\"Jerami Grant\",\"Josh Jackson\",\"Killian Hayes\",\"Mason Plumlee\",\"Saben Lee\",\"Saddiq Bey\",\"Sekou Doumbouya\",\"Wayne Ellington\",\"DeMar DeRozan\",\"Dejounte Murray\",\"Derrick White\",\"Devin Vassell\",\"Drew Eubanks\",\"Gorgui Dieng\",\"Jakob Poeltl\",\"Keldon Johnson\",\"Lonnie Walker IV\",\"Patty Mills\",\"Rudy Gay\"],\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"symbol\":\"circle\"},\"mode\":\"markers\",\"name\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[0.5220440881763527,0.536734693877551,0.5015873015873016,0.5681818181818182,0.5195035460992907,0.5587121212121212,0.6462668298653611,0.5465116279069767,0.6017014694508894,0.4830985915492958,0.5374064837905237,0.506578947368421,0.46674311926605505,0.4926289926289926,0.5641592920353983,0.6157894736842106,0.5868794326241135,0.4793814432989691,0.5289855072463768,0.5512,0.5270408163265307,0.5567129629629629,0.5927152317880795,0.5744897959183674,0.550561797752809,0.5277777777777778,0.5646950092421442,0.5344129554655871,0.5576057605760576,0.529969650986343,0.4892156862745098,0.5447761194029851,0.562200956937799,0.7209302325581395,0.5339366515837104,0.5184049079754601,0.5414078674948241,0.5759493670886076,0.5574516496018203,0.5160818713450293,0.62882096069869,0.533022533022533,0.5311284046692607,0.5548780487804879,0.547085201793722,0.6427503736920778,0.566079295154185,0.5060975609756098,0.5933476394849786,0.46875,0.5026246719160105,0.5940499040307101,0.5401146131805158,0.5340909090909091,0.56797583081571,0.5775075987841946,0.5069444444444444,0.5957257346393589,0.522,0.5106382978723404,0.454983922829582,0.496551724137931,0.5162755488266465,0.6534090909090909,0.6143497757847534,0.5598086124401914,0.4990566037735849,0.5873440285204992,0.6360759493670886,0.4117647058823529,0.4557971014492754,0.5198135198135199,0.5140532544378699,0.5961070559610706,0.4749608763693271,0.5730337078651685,0.5707964601769911,0.5148221343873518,0.4535830618892508,0.6649746192893401,0.5696864111498258,0.5434782608695652,0.6076642335766423,0.4921052631578947,0.5268456375838926,0.5353260869565217,0.5348101265822784,0.6674641148325359,0.5013812154696132,0.5446428571428571,0.5583756345177665,0.6094339622641509,0.6054945054945055,0.5262295081967213,0.493006993006993,0.5122349102773246,0.5027397260273972,0.48355263157894735,0.549407114624506,0.5330250990752973,0.5759416767922235,0.5824742268041238,0.49074074074074076,0.6218905472636815,0.49591002044989774,0.48412698412698413,0.6294964028776978,0.5318379160636758,0.6844444444444444,0.5805439330543933,0.5016025641025641,0.569620253164557,0.46464646464646464,0.5391498881431768,0.6388235294117647,0.5131172839506173,0.47415185783521807,0.5085158150851582,0.5756501182033097,0.7630522088353414,0.5483651226158038,0.589622641509434,0.6541725601131542,0.6077943615257048,0.5755064456721916,0.5253378378378378,0.5493421052631579,0.6241379310344828,0.4705056179775281,0.5245901639344263,0.5032786885245901,0.6535532994923858,0.5677312775330396,0.5966183574879227,0.5924657534246576,0.5970873786407767,0.55,0.5575757575757576,0.5566631689401889,0.5255813953488372,0.5538461538461539,0.563013698630137,0.5628571428571428,0.45819112627986347,0.5194570135746607,0.48464163822525597,0.5168329177057357,0.5562700964630225,0.5384615384615384,0.47584973166368516,0.5555555555555556,0.6244813278008299,0.5218253968253969,0.5459558823529411,0.4954128440366973,0.5040322580645161,0.57125,0.6136680613668062,0.47639484978540775,0.5144144144144144,0.514266304347826,0.5775075987841946,0.5882352941176471,0.5229591836734694,0.543859649122807,0.5145228215767634,0.5157367668097281,0.4756944444444444,0.5685785536159601,0.5537330316742082,0.5064350064350064,0.5543478260869565,0.5542763157894737,0.6051693404634582,0.5315315315315315,0.5508982035928144,0.5702614379084967,0.5333988212180747,0.4876135425268373,0.5230061349693251,0.5449591280653951,0.5570652173913043,0.6080508474576272,0.49850746268656715,0.48140495867768596,0.45866141732283466,0.5267558528428093,0.5554285714285714,0.5466666666666666,0.5757314974182444,0.4538152610441767,0.5625,0.47076023391812866,0.57421875,0.5145772594752187,0.5036764705882353,0.5252293577981652,0.5272479564032697,0.5536,0.45798898071625344,0.5738880918220947,0.5644654088050315,0.49318801089918257,0.5835820895522388,0.5600343053173242,0.5726102941176471,0.5957095709570958,0.5200471698113207,0.42045454545454547,0.5609137055837563,0.5450500556173526,0.5082304526748971,0.48578199052132703,0.5815217391304348,0.5029985007496252,0.5562770562770563,0.4976689976689977,0.48519736842105265,0.5946428571428571,0.543859649122807,0.4885057471264368,0.5127388535031847,0.5144736842105263,0.5461409395973155,0.45294117647058824,0.5799614643545279,0.4927159209157128,0.4269230769230769,0.47854077253218885,0.5388888888888889,0.5852842809364549,0.57734375,0.6181474480151229,0.5281923714759535,0.5995454545454545,0.4964788732394366,0.5704738760631834,0.4841628959276018,0.5460893854748603,0.4858757062146893,0.5645994832041343,0.5145985401459854,0.5867768595041323,0.411371237458194,0.435546875,0.48404255319148937,0.5648148148148148,0.5104633781763827,0.5372340425531915,0.5299295774647887,0.5044642857142857,0.5401002506265664,0.5964630225080386,0.521865889212828,0.5476190476190477,0.5997854077253219,0.6314432989690721,0.5205992509363296,0.5877192982456141,0.49838187702265374,0.5468521229868228,0.5499629903774982,0.58,0.4078014184397163,0.5603732162458837,0.509915014164306,0.6346153846153846,0.6017699115044248,0.4484304932735426,0.42775665399239543,0.5942446043165468,0.5421052631578948,0.5463709677419355,0.6102464332036317,0.5280437756497948,0.46362229102167185,0.6442953020134228,0.47315436241610737,0.695906432748538,0.49910071942446044,0.5362162162162162,0.6378600823045267,0.5197066911090742,0.5901234567901235,0.652135231316726,0.521860465116279,0.5515625,0.5050505050505051,0.5799492385786802,0.6753022452504318,0.5373737373737374,0.5483460559796438,0.5861723446893787,0.481086323957323,0.5471014492753623,0.48746081504702193,0.5760869565217391,0.6063257065948856,0.3761904761904762,0.5395136778115501,0.4854721549636804,0.5953177257525084,0.5308810172570391,0.5034246575342466,0.4938837920489297,0.6357142857142857,0.5305232558139535,0.44510385756676557,0.5371428571428571,0.46172248803827753,0.5021834061135371,0.6136363636363636,0.35784313725490197,0.5652985074626866,0.6162005785920925,0.5483870967741935,0.6844660194174758,0.522972972972973,0.525096525096525,0.5747663551401869,0.5625,0.5418367346938775,0.48787878787878786,0.6382608695652174,0.5350877192982456,0.5694668820678513,0.4810126582278481,0.49228395061728397,0.4492753623188406,0.4428374655647383,0.46956521739130436,0.565843621399177,0.4166666666666667,0.5348837209302325,0.5218340611353712,0.5176211453744494,0.4776357827476038,0.48457792207792205,0.5196936542669585,0.5223004694835681,0.5614334470989761,0.5063829787234042,0.578239608801956,0.49087982832618027,0.47312588401697314,0.40298507462686567,0.6141732283464567,0.49047619047619045,0.5303907380607815,0.425531914893617,0.6124260355029586,0.5048913043478261,0.4851129363449692,0.5033112582781457,0.49174917491749176,0.5707317073170731,0.6134969325153374,0.6162790697674418,0.5219858156028369,0.5024630541871922,0.544189852700491,0.5047770700636943],\"xaxis\":\"x\",\"y\":[108.91548459357072,109.06667992244319,116.573847194545,115.96191759347576,103.79124430833384,116.44137176727436,125.32533070302314,121.24345587431213,130.38961357261493,104.11840169771934,116.63593213376402,107.24105604928025,98.87902033093951,106.65383178034469,115.42124168362552,121.09098872226878,111.61646435474344,115.50670377325594,119.1097193731657,111.57456631463025,113.30955838472238,111.71451890155764,129.47351717916604,117.21027100608161,112.85853146948668,114.18030130427181,116.56838875272966,104.6023377482713,111.9633713934297,113.72509362763836,113.52569249002038,120.12080511660234,116.7252158476767,139.1884463766538,114.47866231918586,115.68566708878573,112.19551367640025,121.63837851578543,124.03086377593257,109.19972475593455,127.07977984012493,110.407926054175,116.80081029685712,113.25208491046035,115.41095319064442,131.30634159796884,119.35909294304297,105.7860958307083,118.93188913491089,99.88804677853847,105.01814970123624,115.42898852856828,113.14515924741441,104.89581496311658,115.79248666295707,118.49017509546151,103.82495263766005,114.92936241659812,113.61316352680535,111.97009954736205,98.97684555216173,113.49346196994483,110.91719593347224,131.2746289250971,121.03759329254274,112.0846414327755,106.18119005970819,118.49224575906774,138.74350510553165,81.03875284526848,92.52674656751374,101.6655113370098,111.19862226791722,115.66201090111096,99.92002922902556,115.70715056058212,117.7370798820413,98.08567653513187,94.04508276082056,129.87214724405254,113.16007875536451,107.37733942105758,121.18990519923123,109.85113167908742,105.68216254352214,99.50300797258747,111.3244154825616,121.35810573918373,103.32177984859344,101.38920290733124,129.65841419029022,113.0376423823181,118.98655414023469,106.1342702439688,101.362757438249,110.2729527494837,99.57559810039488,107.2787481198472,114.26740011195358,105.14310722557325,113.89298762250029,114.93066375547811,101.11917180576648,126.9843415679327,102.83572162827174,106.16882648902937,119.31383019588515,113.82068424004892,131.02610936671493,120.43659033446184,103.0737803238138,129.98182373875426,105.5334253060084,115.20393218764839,124.07246336005402,107.32900941719588,104.54672769725173,111.08771409159186,124.17495650636047,127.02680300473537,122.27509211267926,122.15273808077826,125.69953635829212,121.79022817094373,121.2761053816574,110.602185608181,112.89187351415629,123.76545194488624,100.04677686657494,110.9702604584687,105.34272810898094,135.14626983662933,125.63902563720966,117.41562837551314,116.63208828891409,124.47926018493654,117.51051888458004,118.8446632204696,112.9378521983663,108.65733458468839,116.35548532271306,118.74452775281578,124.97123929319767,100.3755089323082,110.85133267987021,98.97192514481361,104.63257386938128,115.85954135493056,102.72649903967373,102.73967766518714,112.24963247890712,126.34520460904048,107.53194546829741,109.27417828860841,105.65720532009797,102.59042760002464,121.64091946340163,112.87783416717471,97.85067357039192,104.28978472691553,126.95878162967075,110.6385306137473,115.40692866041162,110.45363833153563,106.6738807035524,110.98525486080165,103.64842277651624,99.47552759378544,116.82281881852552,120.15632065894255,111.56941433561744,125.19672000602866,120.76643200461177,133.34941118881625,113.27105970512396,120.6544341775926,118.28386510916233,112.64377969716752,101.75407138373053,108.21561098623683,108.14688849771382,107.28301577291424,121.56071746264234,107.1572530324575,110.30382504295477,108.95634463431647,110.90588238749007,116.85396637220926,109.1499104973813,114.79461048980181,113.45288405870404,105.20655811896178,94.50841183799504,110.66776182415161,114.71512164669579,103.74335982530675,114.91045317906767,108.49192095871459,114.39302879981446,99.37919399446062,114.91808637584073,116.89468859033927,100.81197002801825,114.0409554816505,114.49488865620047,113.74262359396288,112.99465441850343,108.14536552727274,99.64154972549578,117.96328568996819,121.30190819163742,104.100476146296,101.48241429907767,118.07202014388945,108.78595295473595,118.42756532606063,109.94172971818983,103.94510958951626,127.4184345508919,104.42686364582924,112.57052805647622,106.48769372435731,122.90896043622881,117.08469813357567,103.23017833375867,113.27822176553784,110.801492180799,92.16256516063491,101.71472100829577,116.87790834169043,120.81963790186919,120.92518479890731,118.56163802614006,111.91477370261642,121.64743533741628,111.3108609708344,120.51134519476858,104.07833814057356,115.94728601155657,106.49546539447763,120.92377986271833,103.99157153272056,112.53065772515403,102.76065499698394,98.84150842341043,106.55096853359969,122.68372640780485,115.44198294380278,114.113980564657,106.93368298532278,107.51353655194684,107.71621627543459,115.91665250938597,104.71097621095595,113.4913150386061,123.71400522193763,135.76103647990774,107.71325927597925,123.20440118193162,108.73593793896164,116.85593482938368,113.82453933748818,123.03292657997078,105.47159155253986,116.15388274267029,110.20456595113698,128.2169623623671,121.56249101698671,100.52227343000798,99.57096536744562,125.40560992618617,122.94296197810499,118.85338853864702,124.94107490572115,112.49131507222474,105.59248935028901,124.62180149866991,104.2892676145027,135.3307273483621,117.30420743802435,113.40318618373149,138.13929505383106,115.11055808506524,114.11800571114028,128.60791713277914,109.30895953572116,122.6796035781636,110.41477116987173,120.72345175260124,130.95617550336016,119.38038791224909,109.76047763241452,115.2306320239634,101.68779151510188,115.85588680013734,108.05381776406313,125.46971070049482,125.92373947911244,82.22833917446786,117.71837823206354,115.22122778494435,118.76093405848837,115.38604469215352,108.19334395416232,102.81428567840614,132.02044584724266,116.5333957466629,105.64361104641817,110.4566027894819,105.85097067737297,101.08026277579553,121.83330695272797,89.9274690486579,125.03872919805868,124.22214356676828,108.8259376287741,129.8002378235949,112.59207020199273,118.06348662799924,122.60150717447303,107.13109684222377,109.18514645710702,106.58606052889714,129.8747752838719,104.21924079991342,118.11725897576059,97.82630368001713,106.67948507614715,98.46919551300012,101.61793647734778,104.0873524728094,120.05444247755331,92.52357315278054,111.0423387243475,109.37210235740335,112.07246062651673,99.79500181735156,102.78353465617309,113.41624044855942,111.55294837193563,112.01850142883329,105.54597458590318,117.59129508296951,108.93912766903415,96.67772223082565,81.58011500263368,122.4985288337269,111.67276684903757,111.67194899538757,92.65691034092205,117.89392815368531,121.82486561212107,105.73412355355674,110.83047853471138,107.71725527420422,118.38858236807577,126.25815723908434,123.39715263716889,110.74337427444728,100.13962950964108,110.95057168623022,103.26540505618884],\"yaxis\":\"y\"},{\"hovertemplate\":\"<b>OLS trendline</b><br>ORtg = 139.779 * EFG_PCT + 37.4175<br>R<sup>2</sup>=0.698294<br><br>EFG_PCT=%{x}<br>ORtg=%{y} <b>(trend)</b><extra></extra>\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"symbol\":\"circle\"},\"mode\":\"lines\",\"name\":\"\",\"showlegend\":false,\"type\":\"scatter\",\"x\":[0.35784313725490197,0.3761904761904762,0.40298507462686567,0.4078014184397163,0.411371237458194,0.4117647058823529,0.4166666666666667,0.42045454545454547,0.425531914893617,0.4269230769230769,0.42775665399239543,0.435546875,0.4428374655647383,0.44510385756676557,0.4484304932735426,0.4492753623188406,0.45294117647058824,0.4535830618892508,0.4538152610441767,0.454983922829582,0.4557971014492754,0.45798898071625344,0.45819112627986347,0.45866141732283466,0.46172248803827753,0.46362229102167185,0.46464646464646464,0.46674311926605505,0.46875,0.46956521739130436,0.4705056179775281,0.47076023391812866,0.47312588401697314,0.47315436241610737,0.47415185783521807,0.4749608763693271,0.4756944444444444,0.47584973166368516,0.47639484978540775,0.4776357827476038,0.47854077253218885,0.4793814432989691,0.4810126582278481,0.481086323957323,0.48140495867768596,0.4830985915492958,0.48355263157894735,0.48404255319148937,0.48412698412698413,0.4841628959276018,0.48457792207792205,0.48464163822525597,0.4851129363449692,0.48519736842105265,0.4854721549636804,0.48578199052132703,0.4858757062146893,0.48746081504702193,0.4876135425268373,0.48787878787878786,0.4885057471264368,0.4892156862745098,0.49047619047619045,0.49074074074074076,0.49087982832618027,0.49174917491749176,0.4921052631578947,0.49228395061728397,0.4926289926289926,0.4927159209157128,0.493006993006993,0.49318801089918257,0.4938837920489297,0.4954128440366973,0.49591002044989774,0.4964788732394366,0.496551724137931,0.4976689976689977,0.49838187702265374,0.49850746268656715,0.4990566037735849,0.49910071942446044,0.5013812154696132,0.5015873015873016,0.5016025641025641,0.5021834061135371,0.5024630541871922,0.5026246719160105,0.5027397260273972,0.5029985007496252,0.5032786885245901,0.5033112582781457,0.5034246575342466,0.5036764705882353,0.5040322580645161,0.5044642857142857,0.5047770700636943,0.5048913043478261,0.5050505050505051,0.5060975609756098,0.5063829787234042,0.5064350064350064,0.506578947368421,0.5069444444444444,0.5082304526748971,0.5085158150851582,0.509915014164306,0.5104633781763827,0.5106382978723404,0.5122349102773246,0.5127388535031847,0.5131172839506173,0.5140532544378699,0.514266304347826,0.5144144144144144,0.5144736842105263,0.5145228215767634,0.5145772594752187,0.5145985401459854,0.5148221343873518,0.5157367668097281,0.5160818713450293,0.5162755488266465,0.5168329177057357,0.5176211453744494,0.5184049079754601,0.5194570135746607,0.5195035460992907,0.5196936542669585,0.5197066911090742,0.5198135198135199,0.5200471698113207,0.5205992509363296,0.5218253968253969,0.5218340611353712,0.521860465116279,0.521865889212828,0.5219858156028369,0.522,0.5220440881763527,0.5223004694835681,0.5229591836734694,0.522972972972973,0.5230061349693251,0.5245901639344263,0.525096525096525,0.5252293577981652,0.5253378378378378,0.5255813953488372,0.5262295081967213,0.5267558528428093,0.5268456375838926,0.5270408163265307,0.5272479564032697,0.5277777777777778,0.5280437756497948,0.5281923714759535,0.5289855072463768,0.5299295774647887,0.529969650986343,0.5303907380607815,0.5305232558139535,0.5308810172570391,0.5311284046692607,0.5315315315315315,0.5318379160636758,0.533022533022533,0.5330250990752973,0.5333988212180747,0.5339366515837104,0.5340909090909091,0.5344129554655871,0.5348101265822784,0.5348837209302325,0.5350877192982456,0.5353260869565217,0.5362162162162162,0.536734693877551,0.5371428571428571,0.5372340425531915,0.5373737373737374,0.5374064837905237,0.5384615384615384,0.5388888888888889,0.5391498881431768,0.5395136778115501,0.5401002506265664,0.5401146131805158,0.5414078674948241,0.5418367346938775,0.5421052631578948,0.5434782608695652,0.543859649122807,0.543859649122807,0.544189852700491,0.5446428571428571,0.5447761194029851,0.5449591280653951,0.5450500556173526,0.5459558823529411,0.5460893854748603,0.5461409395973155,0.5463709677419355,0.5465116279069767,0.5466666666666666,0.5468521229868228,0.547085201793722,0.5471014492753623,0.5476190476190477,0.5483460559796438,0.5483651226158038,0.5483870967741935,0.5493421052631579,0.549407114624506,0.5499629903774982,0.55,0.550561797752809,0.5508982035928144,0.5512,0.5515625,0.5536,0.5537330316742082,0.5538461538461539,0.5542763157894737,0.5543478260869565,0.5548780487804879,0.5554285714285714,0.5555555555555556,0.5562700964630225,0.5562770562770563,0.5566631689401889,0.5567129629629629,0.5570652173913043,0.5574516496018203,0.5575757575757576,0.5576057605760576,0.5583756345177665,0.5587121212121212,0.5598086124401914,0.5600343053173242,0.5603732162458837,0.5609137055837563,0.5614334470989761,0.562200956937799,0.5625,0.5625,0.5628571428571428,0.563013698630137,0.5641592920353983,0.5644654088050315,0.5645994832041343,0.5646950092421442,0.5648148148148148,0.5652985074626866,0.565843621399177,0.566079295154185,0.5677312775330396,0.56797583081571,0.5681818181818182,0.5685785536159601,0.5694668820678513,0.569620253164557,0.5696864111498258,0.5702614379084967,0.5704738760631834,0.5707317073170731,0.5707964601769911,0.57125,0.5726102941176471,0.5730337078651685,0.5738880918220947,0.57421875,0.5744897959183674,0.5747663551401869,0.5755064456721916,0.5756501182033097,0.5757314974182444,0.5759416767922235,0.5759493670886076,0.5760869565217391,0.57734375,0.5775075987841946,0.5775075987841946,0.578239608801956,0.5799492385786802,0.5799614643545279,0.58,0.5805439330543933,0.5815217391304348,0.5824742268041238,0.5835820895522388,0.5852842809364549,0.5861723446893787,0.5867768595041323,0.5868794326241135,0.5873440285204992,0.5877192982456141,0.5882352941176471,0.589622641509434,0.5901234567901235,0.5924657534246576,0.5927152317880795,0.5933476394849786,0.5940499040307101,0.5942446043165468,0.5946428571428571,0.5953177257525084,0.5957095709570958,0.5957257346393589,0.5961070559610706,0.5964630225080386,0.5966183574879227,0.5970873786407767,0.5995454545454545,0.5997854077253219,0.6017014694508894,0.6017699115044248,0.6051693404634582,0.6054945054945055,0.6063257065948856,0.6076642335766423,0.6077943615257048,0.6080508474576272,0.6094339622641509,0.6102464332036317,0.6124260355029586,0.6134969325153374,0.6136363636363636,0.6136680613668062,0.6141732283464567,0.6143497757847534,0.6157894736842106,0.6162005785920925,0.6162790697674418,0.6181474480151229,0.6218905472636815,0.6241379310344828,0.6244813278008299,0.62882096069869,0.6294964028776978,0.6314432989690721,0.6346153846153846,0.6357142857142857,0.6360759493670886,0.6378600823045267,0.6382608695652174,0.6388235294117647,0.6427503736920778,0.6442953020134228,0.6462668298653611,0.652135231316726,0.6534090909090909,0.6535532994923858,0.6541725601131542,0.6649746192893401,0.6674641148325359,0.6753022452504318,0.6844444444444444,0.6844660194174758,0.695906432748538,0.7209302325581395,0.7630522088353414],\"xaxis\":\"x\",\"y\":[87.43657764938818,90.00115673547,93.74648825254836,94.41971365363727,94.91870063087865,94.97369939092636,95.65889227652073,96.18835950629821,96.89807089940419,97.09252662176436,97.20904348157265,98.29795549994284,99.31702950043783,99.63382429829228,100.09881927061883,100.21691451547466,100.72931962991913,100.81904195565494,100.85149860229018,101.01485338545943,101.12851896326544,101.43489841954772,101.46315419476389,101.52889117043165,101.95676564124227,102.22231886484585,102.36547718703542,102.65854620412938,102.93906668596102,103.05301724193487,103.18446582335787,103.22005587369378,103.5507249036707,103.55470559575261,103.69413485572849,103.80721893948112,103.90975660721972,103.93146255358059,104.00765880957843,104.18111561076648,104.30761449340085,104.42512290561996,104.65313306590517,104.66343001358985,104.70796856726304,104.94470346692793,105.00816888653878,105.07664981043496,105.08845151160529,105.09347123970488,105.15148332467402,105.16038952624757,105.22626727044636,105.23806913104741,105.27647861499679,105.31978722743673,105.33288674601425,105.55445222615492,105.57580037380617,105.61287619633725,105.70051215161078,105.79974698331753,105.97593943961323,106.01291810328024,106.03235967537984,106.15387637567423,106.2036501579837,106.22862697467107,106.27685672232846,106.28900750162646,106.32969336895908,106.35499593202536,106.45225176794779,106.66598165886714,106.73547665407403,106.81499052647993,106.82517357762086,106.98134534406981,107.0809911557979,107.09854543810093,107.1753040215674,107.18147047851255,107.50023673032857,107.52904331362717,107.53117669806949,107.61236641603838,107.65145544162826,107.67404626249461,107.69012845124504,107.72629981336806,107.7654642780555,107.77001685699358,107.78586773115,107.82106599582096,107.87079773751734,107.93118628100578,107.97490707363755,107.99087466746826,108.01312763799515,108.15948443321818,108.19937994010127,108.20665233974134,108.22677230965974,108.27786125288387,108.45761864570957,108.49750641754827,108.69308555347897,108.76973551791633,108.7941856790853,109.01735912111849,109.08779997699145,109.14069673844716,109.27152608352151,109.30130606116751,109.32200878980541,109.3302934833012,109.33716187234876,109.34477116633732,109.34774576463616,109.37899962205879,109.50684634632302,109.55508483348743,109.58215694571825,109.66006560460139,109.77024355473097,109.87979738060531,110.0268600159844,110.03336430196876,110.05993749782056,110.06175977912008,110.07669222584582,110.10935167035313,110.18652121041504,110.35791108415253,110.35912217575736,110.36281290701072,110.36357108369339,110.38033431637612,110.38231700217275,110.388479618747,110.42431643087849,110.51639107129682,110.51831853059991,110.52295389285032,110.74436842985273,110.81514726327825,110.83371453179441,110.84887780108261,110.88292211133165,110.9735149030679,111.04708701486942,111.05963706749773,111.08691902501621,111.11587293002444,111.18993101665998,111.22711202595582,111.24788265375005,111.35874665513978,111.49070817535988,111.4963096261013,111.55516890309599,111.57369214832042,111.62369980981103,111.65827946115834,111.71462827139442,111.75745450173744,111.92303948865955,111.92339816984358,111.97563680754129,112.0508143857401,112.07237639962244,112.11739183211367,112.17290815211183,112.18319512213401,112.21170988114284,112.2450287571586,112.36945044530299,112.44192291509978,112.49897571047174,112.51172154773568,112.53124799876292,112.53582527157232,112.68330012628877,112.74303489067393,112.77951719643934,112.83036747933429,112.91235824535966,112.91436583379581,113.09513607950316,113.15508285724903,113.19261759104637,113.38453431689706,113.43784451852227,113.43784451852227,113.48400015953655,113.54732082543111,113.56594813735293,113.591528968984,113.60423876297196,113.73085463407247,113.74951561349857,113.75672181515617,113.78887499938492,113.80853638563696,113.83020760248365,113.85613056612021,113.88871016993531,113.89098123233637,113.96333079168485,114.06495154680027,114.0676166687839,114.07068820233098,114.20417866688439,114.2132656330705,114.29096558376034,114.29613876468784,114.37466648865484,114.42168907785663,114.46387398308136,114.51454399697104,114.79934441986836,114.81793950064048,114.8337516441542,114.8938794004103,114.90387506321503,114.97798924596225,115.05494094313465,115.0726907016948,115.17256876433237,115.17354160260479,115.22751217916735,115.23447235523793,115.28371024979452,115.33772549248218,115.3550732242428,115.35926702408261,115.46687950220596,115.51391339317604,115.66718022284846,115.69872742621158,115.74610017505978,115.82164942266598,115.89429855313563,116.0015805784974,116.04338062295352,116.04338062295352,116.09330181890397,116.11518508288222,116.27531538290029,116.3181041855739,116.33684501775264,116.35019758512587,116.36694393003972,116.43455417331151,116.5107498443003,116.54369216827186,116.77460518918804,116.80878868775267,116.83758146761974,116.89303688819493,117.01720686059753,117.03864497259852,117.04789249268813,117.12826935847795,117.15796382537084,117.19400331010405,117.20305442268736,117.26644992373949,117.45659094949193,117.51577544733468,117.63520068034046,117.68141986507757,117.71930648700425,117.75796375489645,117.86141312741043,117.88149558023062,117.89287071388875,117.92224944988561,117.92332439450516,117.94255655585098,118.118230329644,118.14113300597765,118.14113300597765,118.24345288947384,118.48242382611625,118.4841327371011,118.48951922452542,118.56554983258388,118.70222692900995,118.83536503564608,118.99022136898367,119.22815257196618,119.35228554491954,119.43678423198187,119.45112183588299,119.51606274767047,119.56851770541934,119.64064327232401,119.83456578711485,119.90456942084924,120.23197411879588,120.26684604194006,120.35524357790098,120.45340565869122,120.48062073782964,120.53628825849378,120.63062095318278,120.68539282065603,120.68765216963473,120.74095301561425,120.79070978769462,120.81242241000714,120.8779818812614,121.22157013017721,121.25511062936826,121.52293648936285,121.53250327502707,122.00767324074096,122.05312459698817,122.16930934540582,122.3564077750813,122.37459697504386,122.41044841154874,122.60377929832836,122.71734595705519,123.02200934679567,123.17169863366928,123.19118822494943,123.19561891306472,123.26623082444544,123.29090851037836,123.49214854503347,123.54961252128865,123.56058396665463,123.82174466116834,124.34495263610629,124.65909047578077,124.70709025211315,125.31368131200497,125.40809417984502,125.68023004740849,126.12362211294774,126.27722579279526,126.32777890261849,126.57716384253871,126.63318562478977,126.71183385165799,127.26072558745432,127.47667466194025,127.7522535409517,128.57253487350624,128.75059413761292,128.77075151945724,128.85731136567978,130.36721616152738,130.71519622705037,131.81080499158583,133.08869564025633,133.09171137593404,134.69084489976544,138.18865533818115,144.07643774653317],\"yaxis\":\"y\"}],                        {\"height\":600,\"legend\":{\"tracegroupgap\":0},\"margin\":{\"t\":60},\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"width\":800,\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"EFG_PCT\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"ORtg\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('82c04eac-ef30-426b-aa7b-26b67f042c71');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter(player_stats[player_stats[\"MIN\"] > 500], x=\"EFG_PCT\", y=\"ORtg\", trendline=\"ols\", hover_name=\"PLAYER_NAME\")\n",
    "fig.update_layout(height=600, width=800)"
   ]
  }
 ],
 "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": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}