notebooks/7 Koeficijent korelacije.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a3dd4c4c",
   "metadata": {},
   "source": [
    "# Koeficijent korelacije"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99ad07c3",
   "metadata": {},
   "source": [
    ">U ovoj svesci ćemo se baviti merama korelacije između dva niza uparenih skupova numeričkih podataka. Sve te mere su nekakvi koeficijenti korelacije. Mi ćemo ovde na primeru koristiti koeficijent koji se obično podrazumeva – Pirsonov koeficijent korelacije."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d9f0728",
   "metadata": {},
   "source": [
    "Primer na kome ćemo videti kako se u Pajtonu traže, računaju i tumače korelacije je timska statistika košarkaške NBA lige preuzeta sa sajta [Basketball Reference](https://www.basketball-reference.com/teams/PHI/2021.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d65a08f",
   "metadata": {},
   "source": [
    "Pošto se statistika procenta šuta, broja skokova i asistencija već dugo objavljuje, taj skup podatka je dostupan za analizu i prilično jednostavan za tumačenje. Kroz analizu u ovoj svesci naći ćemo koje to godišnje statistike najbolje koreliraju sa brojem pobeda koje je jedan tim ostvario. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a160b1a",
   "metadata": {},
   "source": [
    "Podatke potrebne za ovu analizu imate snimljene kao CSV fajlove u folderu __data__. Prvi je statistika svih NBA timova za dvadesetak kategorija u sezoni 2020/21. Drugi je statistika koju su protiv njih imali njihovi protivnici u ovoj sezoni. Treći fajl sadrži imena timova i broj pobeda koje su zabeležili u sezoni. U četvrtom fajlu je opis korišćenih oznaka."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c49ba7eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "91fdacee",
   "metadata": {},
   "outputs": [],
   "source": [
    "timovi=pd.read_csv(\"data/NBA21_teams.csv\")\n",
    "protivnici=pd.read_csv(\"data/NBA21_opponents.csv\")\n",
    "pobede=pd.read_csv(\"data/Broj_pobeda.csv\")\n",
    "oznake=pd.read_csv(\"data/key.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26af0a30",
   "metadata": {},
   "source": [
    "Ovde ćemo samo pogledati zaglavlje tabale __timovi__ da bismo videli koje sve kategorije imamo. Izgleda da kategorija ima više nego što može da se prikaže na ovoj strani. Tri tačke (...) u tabeli nam govore da su tu neke kolone ostane neprikazane zbog manjka prostora. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a9697f8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
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       "\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>Rk</th>\n",
       "      <th>Team</th>\n",
       "      <th>G</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>3P</th>\n",
       "      <th>3PA</th>\n",
       "      <th>3P%</th>\n",
       "      <th>...</th>\n",
       "      <th>FT%</th>\n",
       "      <th>ORB</th>\n",
       "      <th>DRB</th>\n",
       "      <th>TRB</th>\n",
       "      <th>AST</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PTS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Milwaukee Bucks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17330</td>\n",
       "      <td>3221</td>\n",
       "      <td>6610</td>\n",
       "      <td>0.487</td>\n",
       "      <td>1038</td>\n",
       "      <td>2669</td>\n",
       "      <td>0.389</td>\n",
       "      <td>...</td>\n",
       "      <td>0.760</td>\n",
       "      <td>741</td>\n",
       "      <td>2724</td>\n",
       "      <td>3465</td>\n",
       "      <td>1834</td>\n",
       "      <td>585</td>\n",
       "      <td>334</td>\n",
       "      <td>995</td>\n",
       "      <td>1244</td>\n",
       "      <td>8649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Brooklyn Nets*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>3106</td>\n",
       "      <td>6289</td>\n",
       "      <td>0.494</td>\n",
       "      <td>1020</td>\n",
       "      <td>2600</td>\n",
       "      <td>0.392</td>\n",
       "      <td>...</td>\n",
       "      <td>0.804</td>\n",
       "      <td>640</td>\n",
       "      <td>2559</td>\n",
       "      <td>3199</td>\n",
       "      <td>1929</td>\n",
       "      <td>484</td>\n",
       "      <td>379</td>\n",
       "      <td>975</td>\n",
       "      <td>1371</td>\n",
       "      <td>8537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Washington Wizards*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>3108</td>\n",
       "      <td>6547</td>\n",
       "      <td>0.475</td>\n",
       "      <td>733</td>\n",
       "      <td>2088</td>\n",
       "      <td>0.351</td>\n",
       "      <td>...</td>\n",
       "      <td>0.769</td>\n",
       "      <td>697</td>\n",
       "      <td>2557</td>\n",
       "      <td>3254</td>\n",
       "      <td>1835</td>\n",
       "      <td>528</td>\n",
       "      <td>297</td>\n",
       "      <td>1037</td>\n",
       "      <td>1555</td>\n",
       "      <td>8398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>Utah Jazz*</td>\n",
       "      <td>72</td>\n",
       "      <td>17355</td>\n",
       "      <td>2971</td>\n",
       "      <td>6344</td>\n",
       "      <td>0.468</td>\n",
       "      <td>1205</td>\n",
       "      <td>3098</td>\n",
       "      <td>0.389</td>\n",
       "      <td>...</td>\n",
       "      <td>0.799</td>\n",
       "      <td>765</td>\n",
       "      <td>2709</td>\n",
       "      <td>3474</td>\n",
       "      <td>1703</td>\n",
       "      <td>474</td>\n",
       "      <td>371</td>\n",
       "      <td>1023</td>\n",
       "      <td>1335</td>\n",
       "      <td>8382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Portland Trail Blazers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2973</td>\n",
       "      <td>6558</td>\n",
       "      <td>0.453</td>\n",
       "      <td>1132</td>\n",
       "      <td>2939</td>\n",
       "      <td>0.385</td>\n",
       "      <td>...</td>\n",
       "      <td>0.823</td>\n",
       "      <td>766</td>\n",
       "      <td>2441</td>\n",
       "      <td>3207</td>\n",
       "      <td>1531</td>\n",
       "      <td>496</td>\n",
       "      <td>363</td>\n",
       "      <td>799</td>\n",
       "      <td>1362</td>\n",
       "      <td>8360</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Rk                     Team   G     MP    FG   FGA    FG%    3P   3PA  \\\n",
       "0  1.0         Milwaukee Bucks*  72  17330  3221  6610  0.487  1038  2669   \n",
       "1  2.0           Brooklyn Nets*  72  17405  3106  6289  0.494  1020  2600   \n",
       "2  3.0      Washington Wizards*  72  17405  3108  6547  0.475   733  2088   \n",
       "3  4.0               Utah Jazz*  72  17355  2971  6344  0.468  1205  3098   \n",
       "4  5.0  Portland Trail Blazers*  72  17305  2973  6558  0.453  1132  2939   \n",
       "\n",
       "     3P%  ...    FT%  ORB   DRB   TRB   AST  STL  BLK   TOV    PF   PTS  \n",
       "0  0.389  ...  0.760  741  2724  3465  1834  585  334   995  1244  8649  \n",
       "1  0.392  ...  0.804  640  2559  3199  1929  484  379   975  1371  8537  \n",
       "2  0.351  ...  0.769  697  2557  3254  1835  528  297  1037  1555  8398  \n",
       "3  0.389  ...  0.799  765  2709  3474  1703  474  371  1023  1335  8382  \n",
       "4  0.385  ...  0.823  766  2441  3207  1531  496  363   799  1362  8360  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timovi.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f760c60",
   "metadata": {},
   "source": [
    "Iste kategorije podataka imamo i za njihove protivnike. Odatle možemo da vidimo, na primer, da su timovi koji su igrali protiv Njujork Niksa postigli ukupno 2730 koševa iz igre (FG)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ad1dcd6c",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Rk</th>\n",
       "      <th>Team</th>\n",
       "      <th>G</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>3P</th>\n",
       "      <th>3PA</th>\n",
       "      <th>3P%</th>\n",
       "      <th>...</th>\n",
       "      <th>FT%</th>\n",
       "      <th>ORB</th>\n",
       "      <th>DRB</th>\n",
       "      <th>TRB</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>New York Knicks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>2730</td>\n",
       "      <td>6209</td>\n",
       "      <td>0.440</td>\n",
       "      <td>864</td>\n",
       "      <td>2565</td>\n",
       "      <td>0.337</td>\n",
       "      <td>...</td>\n",
       "      <td>0.761</td>\n",
       "      <td>695</td>\n",
       "      <td>2478</td>\n",
       "      <td>3173</td>\n",
       "      <td>1696</td>\n",
       "      <td>472</td>\n",
       "      <td>391</td>\n",
       "      <td>918</td>\n",
       "      <td>1286</td>\n",
       "      <td>7540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Los Angeles Lakers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17455</td>\n",
       "      <td>2862</td>\n",
       "      <td>6221</td>\n",
       "      <td>0.460</td>\n",
       "      <td>818</td>\n",
       "      <td>2321</td>\n",
       "      <td>0.352</td>\n",
       "      <td>...</td>\n",
       "      <td>0.776</td>\n",
       "      <td>634</td>\n",
       "      <td>2392</td>\n",
       "      <td>3026</td>\n",
       "      <td>1776</td>\n",
       "      <td>593</td>\n",
       "      <td>327</td>\n",
       "      <td>1095</td>\n",
       "      <td>1530</td>\n",
       "      <td>7686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Utah Jazz*</td>\n",
       "      <td>72</td>\n",
       "      <td>17355</td>\n",
       "      <td>2943</td>\n",
       "      <td>6581</td>\n",
       "      <td>0.447</td>\n",
       "      <td>783</td>\n",
       "      <td>2293</td>\n",
       "      <td>0.341</td>\n",
       "      <td>...</td>\n",
       "      <td>0.768</td>\n",
       "      <td>706</td>\n",
       "      <td>2362</td>\n",
       "      <td>3068</td>\n",
       "      <td>1604</td>\n",
       "      <td>554</td>\n",
       "      <td>282</td>\n",
       "      <td>827</td>\n",
       "      <td>1365</td>\n",
       "      <td>7716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>Los Angeles Clippers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17280</td>\n",
       "      <td>2887</td>\n",
       "      <td>6223</td>\n",
       "      <td>0.464</td>\n",
       "      <td>833</td>\n",
       "      <td>2341</td>\n",
       "      <td>0.356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.777</td>\n",
       "      <td>659</td>\n",
       "      <td>2307</td>\n",
       "      <td>2966</td>\n",
       "      <td>1650</td>\n",
       "      <td>510</td>\n",
       "      <td>304</td>\n",
       "      <td>925</td>\n",
       "      <td>1303</td>\n",
       "      <td>7764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Miami Heat*</td>\n",
       "      <td>72</td>\n",
       "      <td>17380</td>\n",
       "      <td>2815</td>\n",
       "      <td>6137</td>\n",
       "      <td>0.459</td>\n",
       "      <td>1027</td>\n",
       "      <td>2814</td>\n",
       "      <td>0.365</td>\n",
       "      <td>...</td>\n",
       "      <td>0.782</td>\n",
       "      <td>684</td>\n",
       "      <td>2404</td>\n",
       "      <td>3088</td>\n",
       "      <td>1857</td>\n",
       "      <td>541</td>\n",
       "      <td>287</td>\n",
       "      <td>1085</td>\n",
       "      <td>1414</td>\n",
       "      <td>7779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>Philadelphia 76ers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>2835</td>\n",
       "      <td>6259</td>\n",
       "      <td>0.453</td>\n",
       "      <td>857</td>\n",
       "      <td>2378</td>\n",
       "      <td>0.360</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764</td>\n",
       "      <td>702</td>\n",
       "      <td>2388</td>\n",
       "      <td>3090</td>\n",
       "      <td>1694</td>\n",
       "      <td>521</td>\n",
       "      <td>335</td>\n",
       "      <td>1122</td>\n",
       "      <td>1509</td>\n",
       "      <td>7780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>Phoenix Suns*</td>\n",
       "      <td>72</td>\n",
       "      <td>17480</td>\n",
       "      <td>2916</td>\n",
       "      <td>6248</td>\n",
       "      <td>0.467</td>\n",
       "      <td>836</td>\n",
       "      <td>2359</td>\n",
       "      <td>0.354</td>\n",
       "      <td>...</td>\n",
       "      <td>0.778</td>\n",
       "      <td>674</td>\n",
       "      <td>2401</td>\n",
       "      <td>3075</td>\n",
       "      <td>1652</td>\n",
       "      <td>498</td>\n",
       "      <td>258</td>\n",
       "      <td>981</td>\n",
       "      <td>1294</td>\n",
       "      <td>7881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>Denver Nuggets*</td>\n",
       "      <td>72</td>\n",
       "      <td>17480</td>\n",
       "      <td>2883</td>\n",
       "      <td>6149</td>\n",
       "      <td>0.469</td>\n",
       "      <td>934</td>\n",
       "      <td>2570</td>\n",
       "      <td>0.363</td>\n",
       "      <td>...</td>\n",
       "      <td>0.773</td>\n",
       "      <td>652</td>\n",
       "      <td>2314</td>\n",
       "      <td>2966</td>\n",
       "      <td>1864</td>\n",
       "      <td>540</td>\n",
       "      <td>325</td>\n",
       "      <td>1014</td>\n",
       "      <td>1379</td>\n",
       "      <td>7929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>Dallas Mavericks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2885</td>\n",
       "      <td>6269</td>\n",
       "      <td>0.460</td>\n",
       "      <td>925</td>\n",
       "      <td>2537</td>\n",
       "      <td>0.365</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764</td>\n",
       "      <td>704</td>\n",
       "      <td>2460</td>\n",
       "      <td>3164</td>\n",
       "      <td>1631</td>\n",
       "      <td>527</td>\n",
       "      <td>264</td>\n",
       "      <td>908</td>\n",
       "      <td>1446</td>\n",
       "      <td>7933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.0</td>\n",
       "      <td>Detroit Pistons</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>2980</td>\n",
       "      <td>6260</td>\n",
       "      <td>0.476</td>\n",
       "      <td>817</td>\n",
       "      <td>2260</td>\n",
       "      <td>0.362</td>\n",
       "      <td>...</td>\n",
       "      <td>0.760</td>\n",
       "      <td>717</td>\n",
       "      <td>2475</td>\n",
       "      <td>3192</td>\n",
       "      <td>1785</td>\n",
       "      <td>578</td>\n",
       "      <td>419</td>\n",
       "      <td>1004</td>\n",
       "      <td>1469</td>\n",
       "      <td>7998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Boston Celtics*</td>\n",
       "      <td>72</td>\n",
       "      <td>17380</td>\n",
       "      <td>2875</td>\n",
       "      <td>6191</td>\n",
       "      <td>0.464</td>\n",
       "      <td>925</td>\n",
       "      <td>2473</td>\n",
       "      <td>0.374</td>\n",
       "      <td>...</td>\n",
       "      <td>0.785</td>\n",
       "      <td>677</td>\n",
       "      <td>2382</td>\n",
       "      <td>3059</td>\n",
       "      <td>1732</td>\n",
       "      <td>531</td>\n",
       "      <td>334</td>\n",
       "      <td>1015</td>\n",
       "      <td>1389</td>\n",
       "      <td>8004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12.0</td>\n",
       "      <td>Atlanta Hawks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>2971</td>\n",
       "      <td>6418</td>\n",
       "      <td>0.463</td>\n",
       "      <td>858</td>\n",
       "      <td>2460</td>\n",
       "      <td>0.349</td>\n",
       "      <td>...</td>\n",
       "      <td>0.803</td>\n",
       "      <td>719</td>\n",
       "      <td>2352</td>\n",
       "      <td>3071</td>\n",
       "      <td>1754</td>\n",
       "      <td>557</td>\n",
       "      <td>363</td>\n",
       "      <td>886</td>\n",
       "      <td>1422</td>\n",
       "      <td>8019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.0</td>\n",
       "      <td>Charlotte Hornets</td>\n",
       "      <td>72</td>\n",
       "      <td>17355</td>\n",
       "      <td>2972</td>\n",
       "      <td>6346</td>\n",
       "      <td>0.468</td>\n",
       "      <td>1042</td>\n",
       "      <td>2847</td>\n",
       "      <td>0.366</td>\n",
       "      <td>...</td>\n",
       "      <td>0.745</td>\n",
       "      <td>766</td>\n",
       "      <td>2487</td>\n",
       "      <td>3253</td>\n",
       "      <td>1951</td>\n",
       "      <td>582</td>\n",
       "      <td>347</td>\n",
       "      <td>1062</td>\n",
       "      <td>1340</td>\n",
       "      <td>8020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14.0</td>\n",
       "      <td>Chicago Bulls</td>\n",
       "      <td>72</td>\n",
       "      <td>17380</td>\n",
       "      <td>2983</td>\n",
       "      <td>6313</td>\n",
       "      <td>0.473</td>\n",
       "      <td>829</td>\n",
       "      <td>2328</td>\n",
       "      <td>0.356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.774</td>\n",
       "      <td>624</td>\n",
       "      <td>2410</td>\n",
       "      <td>3034</td>\n",
       "      <td>1737</td>\n",
       "      <td>614</td>\n",
       "      <td>364</td>\n",
       "      <td>917</td>\n",
       "      <td>1277</td>\n",
       "      <td>8033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15.0</td>\n",
       "      <td>Toronto Raptors</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2809</td>\n",
       "      <td>6099</td>\n",
       "      <td>0.461</td>\n",
       "      <td>1001</td>\n",
       "      <td>2641</td>\n",
       "      <td>0.379</td>\n",
       "      <td>...</td>\n",
       "      <td>0.799</td>\n",
       "      <td>720</td>\n",
       "      <td>2582</td>\n",
       "      <td>3302</td>\n",
       "      <td>1872</td>\n",
       "      <td>477</td>\n",
       "      <td>402</td>\n",
       "      <td>1161</td>\n",
       "      <td>1405</td>\n",
       "      <td>8045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16.0</td>\n",
       "      <td>Memphis Grizzlies*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>2953</td>\n",
       "      <td>6387</td>\n",
       "      <td>0.462</td>\n",
       "      <td>926</td>\n",
       "      <td>2526</td>\n",
       "      <td>0.367</td>\n",
       "      <td>...</td>\n",
       "      <td>0.788</td>\n",
       "      <td>704</td>\n",
       "      <td>2515</td>\n",
       "      <td>3219</td>\n",
       "      <td>1827</td>\n",
       "      <td>552</td>\n",
       "      <td>377</td>\n",
       "      <td>1068</td>\n",
       "      <td>1318</td>\n",
       "      <td>8083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17.0</td>\n",
       "      <td>Cleveland Cavaliers</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>3024</td>\n",
       "      <td>6245</td>\n",
       "      <td>0.484</td>\n",
       "      <td>893</td>\n",
       "      <td>2334</td>\n",
       "      <td>0.383</td>\n",
       "      <td>...</td>\n",
       "      <td>0.779</td>\n",
       "      <td>712</td>\n",
       "      <td>2437</td>\n",
       "      <td>3149</td>\n",
       "      <td>1828</td>\n",
       "      <td>613</td>\n",
       "      <td>425</td>\n",
       "      <td>1033</td>\n",
       "      <td>1451</td>\n",
       "      <td>8084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18.0</td>\n",
       "      <td>Golden State Warriors</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2897</td>\n",
       "      <td>6408</td>\n",
       "      <td>0.452</td>\n",
       "      <td>891</td>\n",
       "      <td>2481</td>\n",
       "      <td>0.359</td>\n",
       "      <td>...</td>\n",
       "      <td>0.778</td>\n",
       "      <td>769</td>\n",
       "      <td>2635</td>\n",
       "      <td>3404</td>\n",
       "      <td>1711</td>\n",
       "      <td>567</td>\n",
       "      <td>312</td>\n",
       "      <td>1083</td>\n",
       "      <td>1406</td>\n",
       "      <td>8111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19.0</td>\n",
       "      <td>San Antonio Spurs</td>\n",
       "      <td>72</td>\n",
       "      <td>17480</td>\n",
       "      <td>3055</td>\n",
       "      <td>6469</td>\n",
       "      <td>0.472</td>\n",
       "      <td>885</td>\n",
       "      <td>2350</td>\n",
       "      <td>0.377</td>\n",
       "      <td>...</td>\n",
       "      <td>0.758</td>\n",
       "      <td>732</td>\n",
       "      <td>2681</td>\n",
       "      <td>3413</td>\n",
       "      <td>1784</td>\n",
       "      <td>454</td>\n",
       "      <td>369</td>\n",
       "      <td>949</td>\n",
       "      <td>1338</td>\n",
       "      <td>8123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20.0</td>\n",
       "      <td>Orlando Magic</td>\n",
       "      <td>72</td>\n",
       "      <td>17330</td>\n",
       "      <td>3039</td>\n",
       "      <td>6456</td>\n",
       "      <td>0.471</td>\n",
       "      <td>987</td>\n",
       "      <td>2649</td>\n",
       "      <td>0.373</td>\n",
       "      <td>...</td>\n",
       "      <td>0.786</td>\n",
       "      <td>704</td>\n",
       "      <td>2706</td>\n",
       "      <td>3410</td>\n",
       "      <td>1874</td>\n",
       "      <td>548</td>\n",
       "      <td>384</td>\n",
       "      <td>917</td>\n",
       "      <td>1343</td>\n",
       "      <td>8158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21.0</td>\n",
       "      <td>Brooklyn Nets*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>3017</td>\n",
       "      <td>6573</td>\n",
       "      <td>0.459</td>\n",
       "      <td>951</td>\n",
       "      <td>2607</td>\n",
       "      <td>0.365</td>\n",
       "      <td>...</td>\n",
       "      <td>0.775</td>\n",
       "      <td>753</td>\n",
       "      <td>2348</td>\n",
       "      <td>3101</td>\n",
       "      <td>1729</td>\n",
       "      <td>550</td>\n",
       "      <td>330</td>\n",
       "      <td>908</td>\n",
       "      <td>1361</td>\n",
       "      <td>8213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22.0</td>\n",
       "      <td>Milwaukee Bucks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17330</td>\n",
       "      <td>3052</td>\n",
       "      <td>6688</td>\n",
       "      <td>0.456</td>\n",
       "      <td>1068</td>\n",
       "      <td>2778</td>\n",
       "      <td>0.384</td>\n",
       "      <td>...</td>\n",
       "      <td>0.780</td>\n",
       "      <td>693</td>\n",
       "      <td>2435</td>\n",
       "      <td>3128</td>\n",
       "      <td>1804</td>\n",
       "      <td>507</td>\n",
       "      <td>348</td>\n",
       "      <td>947</td>\n",
       "      <td>1320</td>\n",
       "      <td>8225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23.0</td>\n",
       "      <td>Portland Trail Blazers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>3007</td>\n",
       "      <td>6355</td>\n",
       "      <td>0.473</td>\n",
       "      <td>928</td>\n",
       "      <td>2494</td>\n",
       "      <td>0.372</td>\n",
       "      <td>...</td>\n",
       "      <td>0.787</td>\n",
       "      <td>710</td>\n",
       "      <td>2558</td>\n",
       "      <td>3268</td>\n",
       "      <td>1794</td>\n",
       "      <td>440</td>\n",
       "      <td>333</td>\n",
       "      <td>892</td>\n",
       "      <td>1374</td>\n",
       "      <td>8231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24.0</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>3016</td>\n",
       "      <td>6431</td>\n",
       "      <td>0.469</td>\n",
       "      <td>1043</td>\n",
       "      <td>2745</td>\n",
       "      <td>0.380</td>\n",
       "      <td>...</td>\n",
       "      <td>0.790</td>\n",
       "      <td>644</td>\n",
       "      <td>2366</td>\n",
       "      <td>3010</td>\n",
       "      <td>1866</td>\n",
       "      <td>555</td>\n",
       "      <td>426</td>\n",
       "      <td>961</td>\n",
       "      <td>1534</td>\n",
       "      <td>8272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25.0</td>\n",
       "      <td>Indiana Pacers</td>\n",
       "      <td>72</td>\n",
       "      <td>17455</td>\n",
       "      <td>3076</td>\n",
       "      <td>6576</td>\n",
       "      <td>0.468</td>\n",
       "      <td>828</td>\n",
       "      <td>2265</td>\n",
       "      <td>0.366</td>\n",
       "      <td>...</td>\n",
       "      <td>0.782</td>\n",
       "      <td>813</td>\n",
       "      <td>2555</td>\n",
       "      <td>3368</td>\n",
       "      <td>1877</td>\n",
       "      <td>535</td>\n",
       "      <td>381</td>\n",
       "      <td>1066</td>\n",
       "      <td>1306</td>\n",
       "      <td>8305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26.0</td>\n",
       "      <td>Oklahoma City Thunder</td>\n",
       "      <td>72</td>\n",
       "      <td>17355</td>\n",
       "      <td>3123</td>\n",
       "      <td>6603</td>\n",
       "      <td>0.473</td>\n",
       "      <td>978</td>\n",
       "      <td>2688</td>\n",
       "      <td>0.364</td>\n",
       "      <td>...</td>\n",
       "      <td>0.773</td>\n",
       "      <td>729</td>\n",
       "      <td>2663</td>\n",
       "      <td>3392</td>\n",
       "      <td>1856</td>\n",
       "      <td>647</td>\n",
       "      <td>378</td>\n",
       "      <td>942</td>\n",
       "      <td>1336</td>\n",
       "      <td>8326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27.0</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>3075</td>\n",
       "      <td>6411</td>\n",
       "      <td>0.480</td>\n",
       "      <td>966</td>\n",
       "      <td>2532</td>\n",
       "      <td>0.382</td>\n",
       "      <td>...</td>\n",
       "      <td>0.783</td>\n",
       "      <td>713</td>\n",
       "      <td>2713</td>\n",
       "      <td>3426</td>\n",
       "      <td>1855</td>\n",
       "      <td>611</td>\n",
       "      <td>378</td>\n",
       "      <td>1055</td>\n",
       "      <td>1388</td>\n",
       "      <td>8402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28.0</td>\n",
       "      <td>Sacramento Kings</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>3139</td>\n",
       "      <td>6438</td>\n",
       "      <td>0.488</td>\n",
       "      <td>893</td>\n",
       "      <td>2349</td>\n",
       "      <td>0.380</td>\n",
       "      <td>...</td>\n",
       "      <td>0.787</td>\n",
       "      <td>767</td>\n",
       "      <td>2489</td>\n",
       "      <td>3256</td>\n",
       "      <td>1823</td>\n",
       "      <td>545</td>\n",
       "      <td>336</td>\n",
       "      <td>988</td>\n",
       "      <td>1348</td>\n",
       "      <td>8454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29.0</td>\n",
       "      <td>Minnesota Timberwolves</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>3098</td>\n",
       "      <td>6426</td>\n",
       "      <td>0.482</td>\n",
       "      <td>945</td>\n",
       "      <td>2412</td>\n",
       "      <td>0.392</td>\n",
       "      <td>...</td>\n",
       "      <td>0.786</td>\n",
       "      <td>718</td>\n",
       "      <td>2579</td>\n",
       "      <td>3297</td>\n",
       "      <td>1932</td>\n",
       "      <td>550</td>\n",
       "      <td>398</td>\n",
       "      <td>1102</td>\n",
       "      <td>1432</td>\n",
       "      <td>8473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30.0</td>\n",
       "      <td>Washington Wizards*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>3103</td>\n",
       "      <td>6594</td>\n",
       "      <td>0.471</td>\n",
       "      <td>896</td>\n",
       "      <td>2425</td>\n",
       "      <td>0.369</td>\n",
       "      <td>...</td>\n",
       "      <td>0.781</td>\n",
       "      <td>738</td>\n",
       "      <td>2580</td>\n",
       "      <td>3318</td>\n",
       "      <td>1762</td>\n",
       "      <td>587</td>\n",
       "      <td>348</td>\n",
       "      <td>1056</td>\n",
       "      <td>1586</td>\n",
       "      <td>8530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>League Average</td>\n",
       "      <td>72</td>\n",
       "      <td>17383</td>\n",
       "      <td>2967</td>\n",
       "      <td>6366</td>\n",
       "      <td>0.466</td>\n",
       "      <td>914</td>\n",
       "      <td>2494</td>\n",
       "      <td>0.367</td>\n",
       "      <td>...</td>\n",
       "      <td>0.778</td>\n",
       "      <td>708</td>\n",
       "      <td>2482</td>\n",
       "      <td>3190</td>\n",
       "      <td>1786</td>\n",
       "      <td>545</td>\n",
       "      <td>351</td>\n",
       "      <td>996</td>\n",
       "      <td>1389</td>\n",
       "      <td>8071</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Rk                     Team   G     MP    FG   FGA    FG%    3P   3PA  \\\n",
       "0    1.0         New York Knicks*  72  17430  2730  6209  0.440   864  2565   \n",
       "1    2.0      Los Angeles Lakers*  72  17455  2862  6221  0.460   818  2321   \n",
       "2    3.0               Utah Jazz*  72  17355  2943  6581  0.447   783  2293   \n",
       "3    4.0    Los Angeles Clippers*  72  17280  2887  6223  0.464   833  2341   \n",
       "4    5.0              Miami Heat*  72  17380  2815  6137  0.459  1027  2814   \n",
       "5    6.0      Philadelphia 76ers*  72  17430  2835  6259  0.453   857  2378   \n",
       "6    7.0            Phoenix Suns*  72  17480  2916  6248  0.467   836  2359   \n",
       "7    8.0          Denver Nuggets*  72  17480  2883  6149  0.469   934  2570   \n",
       "8    9.0        Dallas Mavericks*  72  17305  2885  6269  0.460   925  2537   \n",
       "9   10.0          Detroit Pistons  72  17430  2980  6260  0.476   817  2260   \n",
       "10  11.0          Boston Celtics*  72  17380  2875  6191  0.464   925  2473   \n",
       "11  12.0           Atlanta Hawks*  72  17405  2971  6418  0.463   858  2460   \n",
       "12  13.0        Charlotte Hornets  72  17355  2972  6346  0.468  1042  2847   \n",
       "13  14.0            Chicago Bulls  72  17380  2983  6313  0.473   829  2328   \n",
       "14  15.0          Toronto Raptors  72  17305  2809  6099  0.461  1001  2641   \n",
       "15  16.0       Memphis Grizzlies*  72  17405  2953  6387  0.462   926  2526   \n",
       "16  17.0      Cleveland Cavaliers  72  17430  3024  6245  0.484   893  2334   \n",
       "17  18.0    Golden State Warriors  72  17305  2897  6408  0.452   891  2481   \n",
       "18  19.0        San Antonio Spurs  72  17480  3055  6469  0.472   885  2350   \n",
       "19  20.0            Orlando Magic  72  17330  3039  6456  0.471   987  2649   \n",
       "20  21.0           Brooklyn Nets*  72  17405  3017  6573  0.459   951  2607   \n",
       "21  22.0         Milwaukee Bucks*  72  17330  3052  6688  0.456  1068  2778   \n",
       "22  23.0  Portland Trail Blazers*  72  17305  3007  6355  0.473   928  2494   \n",
       "23  24.0     New Orleans Pelicans  72  17430  3016  6431  0.469  1043  2745   \n",
       "24  25.0           Indiana Pacers  72  17455  3076  6576  0.468   828  2265   \n",
       "25  26.0    Oklahoma City Thunder  72  17355  3123  6603  0.473   978  2688   \n",
       "26  27.0          Houston Rockets  72  17305  3075  6411  0.480   966  2532   \n",
       "27  28.0         Sacramento Kings  72  17305  3139  6438  0.488   893  2349   \n",
       "28  29.0   Minnesota Timberwolves  72  17405  3098  6426  0.482   945  2412   \n",
       "29  30.0      Washington Wizards*  72  17405  3103  6594  0.471   896  2425   \n",
       "30   NaN           League Average  72  17383  2967  6366  0.466   914  2494   \n",
       "\n",
       "      3P%  ...    FT%  ORB   DRB   TRB   AST  STL  BLK   TOV    PF   PTS  \n",
       "0   0.337  ...  0.761  695  2478  3173  1696  472  391   918  1286  7540  \n",
       "1   0.352  ...  0.776  634  2392  3026  1776  593  327  1095  1530  7686  \n",
       "2   0.341  ...  0.768  706  2362  3068  1604  554  282   827  1365  7716  \n",
       "3   0.356  ...  0.777  659  2307  2966  1650  510  304   925  1303  7764  \n",
       "4   0.365  ...  0.782  684  2404  3088  1857  541  287  1085  1414  7779  \n",
       "5   0.360  ...  0.764  702  2388  3090  1694  521  335  1122  1509  7780  \n",
       "6   0.354  ...  0.778  674  2401  3075  1652  498  258   981  1294  7881  \n",
       "7   0.363  ...  0.773  652  2314  2966  1864  540  325  1014  1379  7929  \n",
       "8   0.365  ...  0.764  704  2460  3164  1631  527  264   908  1446  7933  \n",
       "9   0.362  ...  0.760  717  2475  3192  1785  578  419  1004  1469  7998  \n",
       "10  0.374  ...  0.785  677  2382  3059  1732  531  334  1015  1389  8004  \n",
       "11  0.349  ...  0.803  719  2352  3071  1754  557  363   886  1422  8019  \n",
       "12  0.366  ...  0.745  766  2487  3253  1951  582  347  1062  1340  8020  \n",
       "13  0.356  ...  0.774  624  2410  3034  1737  614  364   917  1277  8033  \n",
       "14  0.379  ...  0.799  720  2582  3302  1872  477  402  1161  1405  8045  \n",
       "15  0.367  ...  0.788  704  2515  3219  1827  552  377  1068  1318  8083  \n",
       "16  0.383  ...  0.779  712  2437  3149  1828  613  425  1033  1451  8084  \n",
       "17  0.359  ...  0.778  769  2635  3404  1711  567  312  1083  1406  8111  \n",
       "18  0.377  ...  0.758  732  2681  3413  1784  454  369   949  1338  8123  \n",
       "19  0.373  ...  0.786  704  2706  3410  1874  548  384   917  1343  8158  \n",
       "20  0.365  ...  0.775  753  2348  3101  1729  550  330   908  1361  8213  \n",
       "21  0.384  ...  0.780  693  2435  3128  1804  507  348   947  1320  8225  \n",
       "22  0.372  ...  0.787  710  2558  3268  1794  440  333   892  1374  8231  \n",
       "23  0.380  ...  0.790  644  2366  3010  1866  555  426   961  1534  8272  \n",
       "24  0.366  ...  0.782  813  2555  3368  1877  535  381  1066  1306  8305  \n",
       "25  0.364  ...  0.773  729  2663  3392  1856  647  378   942  1336  8326  \n",
       "26  0.382  ...  0.783  713  2713  3426  1855  611  378  1055  1388  8402  \n",
       "27  0.380  ...  0.787  767  2489  3256  1823  545  336   988  1348  8454  \n",
       "28  0.392  ...  0.786  718  2579  3297  1932  550  398  1102  1432  8473  \n",
       "29  0.369  ...  0.781  738  2580  3318  1762  587  348  1056  1586  8530  \n",
       "30  0.367  ...  0.778  708  2482  3190  1786  545  351   996  1389  8071  \n",
       "\n",
       "[31 rows x 25 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "protivnici"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33379991",
   "metadata": {},
   "source": [
    "Ono što takođe vidimo je da imamo nepotrebni red u u kom su prosečni podaci za sve timove. Taj podatak nam ne treba pa ćemo taj red obrisati pomoću funkcije `drop()`. To je u obe tabele 31. red koji u Pajtonu ima indeks 30."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "10572928",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "timovi.drop(30,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9b2606d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "protivnici.drop(30,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3929760",
   "metadata": {},
   "source": [
    "Bilo bi dobro da sad ove dve tabele spojimo u jednu. Kako nije zgodno da se nazivi kolona dupliraju (jednom imamo FG% kao procenat šuta samog tima, a drugi put kao procenat šuta njihovih protivnika), promenićemo imena polovini promenljivih. Svim promenjivim koje se odnose na statistiku protivnika ćemo dodati \"Opp_\" u naziv."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7cf12eb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "protivnici.columns=\"Opp_\"+protivnici.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e076527d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Opp_Rk', 'Opp_Team', 'Opp_G', 'Opp_MP', 'Opp_FG', 'Opp_FGA', 'Opp_FG%',\n",
       "       'Opp_3P', 'Opp_3PA', 'Opp_3P%', 'Opp_2P', 'Opp_2PA', 'Opp_2P%',\n",
       "       'Opp_FT', 'Opp_FTA', 'Opp_FT%', 'Opp_ORB', 'Opp_DRB', 'Opp_TRB',\n",
       "       'Opp_AST', 'Opp_STL', 'Opp_BLK', 'Opp_TOV', 'Opp_PF', 'Opp_PTS'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "protivnici.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e785633d",
   "metadata": {},
   "source": [
    "Sada je ostalo da spojimo tabele. Iz nekog razloga redosled timova nije isti u obe tabele pa ćemo morati da povezujemo podatke vodeći računa o tome kom timu pripadaju. Funkcije `merge()` će to znati da uradi ako joj kažemo da treba povezati podatke za __Team__ iz prve i __Opp_Team__ iz druge tabele. Tu zbirnu tabelu ćemo nazvati __tabela__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b203fffc",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabela=timovi.merge(protivnici,left_on=\"Team\",right_on=\"Opp_Team\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b81054fd",
   "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>Rk</th>\n",
       "      <th>Team</th>\n",
       "      <th>G</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>3P</th>\n",
       "      <th>3PA</th>\n",
       "      <th>3P%</th>\n",
       "      <th>...</th>\n",
       "      <th>Opp_FT%</th>\n",
       "      <th>Opp_ORB</th>\n",
       "      <th>Opp_DRB</th>\n",
       "      <th>Opp_TRB</th>\n",
       "      <th>Opp_AST</th>\n",
       "      <th>Opp_STL</th>\n",
       "      <th>Opp_BLK</th>\n",
       "      <th>Opp_TOV</th>\n",
       "      <th>Opp_PF</th>\n",
       "      <th>Opp_PTS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Milwaukee Bucks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17330</td>\n",
       "      <td>3221</td>\n",
       "      <td>6610</td>\n",
       "      <td>0.487</td>\n",
       "      <td>1038</td>\n",
       "      <td>2669</td>\n",
       "      <td>0.389</td>\n",
       "      <td>...</td>\n",
       "      <td>0.780</td>\n",
       "      <td>693</td>\n",
       "      <td>2435</td>\n",
       "      <td>3128</td>\n",
       "      <td>1804</td>\n",
       "      <td>507</td>\n",
       "      <td>348</td>\n",
       "      <td>947</td>\n",
       "      <td>1320</td>\n",
       "      <td>8225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Brooklyn Nets*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>3106</td>\n",
       "      <td>6289</td>\n",
       "      <td>0.494</td>\n",
       "      <td>1020</td>\n",
       "      <td>2600</td>\n",
       "      <td>0.392</td>\n",
       "      <td>...</td>\n",
       "      <td>0.775</td>\n",
       "      <td>753</td>\n",
       "      <td>2348</td>\n",
       "      <td>3101</td>\n",
       "      <td>1729</td>\n",
       "      <td>550</td>\n",
       "      <td>330</td>\n",
       "      <td>908</td>\n",
       "      <td>1361</td>\n",
       "      <td>8213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Washington Wizards*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>3108</td>\n",
       "      <td>6547</td>\n",
       "      <td>0.475</td>\n",
       "      <td>733</td>\n",
       "      <td>2088</td>\n",
       "      <td>0.351</td>\n",
       "      <td>...</td>\n",
       "      <td>0.781</td>\n",
       "      <td>738</td>\n",
       "      <td>2580</td>\n",
       "      <td>3318</td>\n",
       "      <td>1762</td>\n",
       "      <td>587</td>\n",
       "      <td>348</td>\n",
       "      <td>1056</td>\n",
       "      <td>1586</td>\n",
       "      <td>8530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>Utah Jazz*</td>\n",
       "      <td>72</td>\n",
       "      <td>17355</td>\n",
       "      <td>2971</td>\n",
       "      <td>6344</td>\n",
       "      <td>0.468</td>\n",
       "      <td>1205</td>\n",
       "      <td>3098</td>\n",
       "      <td>0.389</td>\n",
       "      <td>...</td>\n",
       "      <td>0.768</td>\n",
       "      <td>706</td>\n",
       "      <td>2362</td>\n",
       "      <td>3068</td>\n",
       "      <td>1604</td>\n",
       "      <td>554</td>\n",
       "      <td>282</td>\n",
       "      <td>827</td>\n",
       "      <td>1365</td>\n",
       "      <td>7716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Portland Trail Blazers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2973</td>\n",
       "      <td>6558</td>\n",
       "      <td>0.453</td>\n",
       "      <td>1132</td>\n",
       "      <td>2939</td>\n",
       "      <td>0.385</td>\n",
       "      <td>...</td>\n",
       "      <td>0.787</td>\n",
       "      <td>710</td>\n",
       "      <td>2558</td>\n",
       "      <td>3268</td>\n",
       "      <td>1794</td>\n",
       "      <td>440</td>\n",
       "      <td>333</td>\n",
       "      <td>892</td>\n",
       "      <td>1374</td>\n",
       "      <td>8231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>Indiana Pacers</td>\n",
       "      <td>72</td>\n",
       "      <td>17455</td>\n",
       "      <td>3115</td>\n",
       "      <td>6567</td>\n",
       "      <td>0.474</td>\n",
       "      <td>889</td>\n",
       "      <td>2445</td>\n",
       "      <td>0.364</td>\n",
       "      <td>...</td>\n",
       "      <td>0.782</td>\n",
       "      <td>813</td>\n",
       "      <td>2555</td>\n",
       "      <td>3368</td>\n",
       "      <td>1877</td>\n",
       "      <td>535</td>\n",
       "      <td>381</td>\n",
       "      <td>1066</td>\n",
       "      <td>1306</td>\n",
       "      <td>8305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>Phoenix Suns*</td>\n",
       "      <td>72</td>\n",
       "      <td>17480</td>\n",
       "      <td>3118</td>\n",
       "      <td>6357</td>\n",
       "      <td>0.490</td>\n",
       "      <td>940</td>\n",
       "      <td>2490</td>\n",
       "      <td>0.378</td>\n",
       "      <td>...</td>\n",
       "      <td>0.778</td>\n",
       "      <td>674</td>\n",
       "      <td>2401</td>\n",
       "      <td>3075</td>\n",
       "      <td>1652</td>\n",
       "      <td>498</td>\n",
       "      <td>258</td>\n",
       "      <td>981</td>\n",
       "      <td>1294</td>\n",
       "      <td>7881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>Denver Nuggets*</td>\n",
       "      <td>72</td>\n",
       "      <td>17480</td>\n",
       "      <td>3114</td>\n",
       "      <td>6422</td>\n",
       "      <td>0.485</td>\n",
       "      <td>927</td>\n",
       "      <td>2462</td>\n",
       "      <td>0.377</td>\n",
       "      <td>...</td>\n",
       "      <td>0.773</td>\n",
       "      <td>652</td>\n",
       "      <td>2314</td>\n",
       "      <td>2966</td>\n",
       "      <td>1864</td>\n",
       "      <td>540</td>\n",
       "      <td>325</td>\n",
       "      <td>1014</td>\n",
       "      <td>1379</td>\n",
       "      <td>7929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>New Orleans Pelicans</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>3060</td>\n",
       "      <td>6412</td>\n",
       "      <td>0.477</td>\n",
       "      <td>762</td>\n",
       "      <td>2190</td>\n",
       "      <td>0.348</td>\n",
       "      <td>...</td>\n",
       "      <td>0.790</td>\n",
       "      <td>644</td>\n",
       "      <td>2366</td>\n",
       "      <td>3010</td>\n",
       "      <td>1866</td>\n",
       "      <td>555</td>\n",
       "      <td>426</td>\n",
       "      <td>961</td>\n",
       "      <td>1534</td>\n",
       "      <td>8272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.0</td>\n",
       "      <td>Los Angeles Clippers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17280</td>\n",
       "      <td>3009</td>\n",
       "      <td>6242</td>\n",
       "      <td>0.482</td>\n",
       "      <td>1027</td>\n",
       "      <td>2498</td>\n",
       "      <td>0.411</td>\n",
       "      <td>...</td>\n",
       "      <td>0.777</td>\n",
       "      <td>659</td>\n",
       "      <td>2307</td>\n",
       "      <td>2966</td>\n",
       "      <td>1650</td>\n",
       "      <td>510</td>\n",
       "      <td>304</td>\n",
       "      <td>925</td>\n",
       "      <td>1303</td>\n",
       "      <td>7764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Sacramento Kings</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>3067</td>\n",
       "      <td>6382</td>\n",
       "      <td>0.481</td>\n",
       "      <td>874</td>\n",
       "      <td>2400</td>\n",
       "      <td>0.364</td>\n",
       "      <td>...</td>\n",
       "      <td>0.787</td>\n",
       "      <td>767</td>\n",
       "      <td>2489</td>\n",
       "      <td>3256</td>\n",
       "      <td>1823</td>\n",
       "      <td>545</td>\n",
       "      <td>336</td>\n",
       "      <td>988</td>\n",
       "      <td>1348</td>\n",
       "      <td>8454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12.0</td>\n",
       "      <td>Golden State Warriors</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2973</td>\n",
       "      <td>6347</td>\n",
       "      <td>0.468</td>\n",
       "      <td>1048</td>\n",
       "      <td>2789</td>\n",
       "      <td>0.376</td>\n",
       "      <td>...</td>\n",
       "      <td>0.778</td>\n",
       "      <td>769</td>\n",
       "      <td>2635</td>\n",
       "      <td>3404</td>\n",
       "      <td>1711</td>\n",
       "      <td>567</td>\n",
       "      <td>312</td>\n",
       "      <td>1083</td>\n",
       "      <td>1406</td>\n",
       "      <td>8111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.0</td>\n",
       "      <td>Atlanta Hawks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>2937</td>\n",
       "      <td>6281</td>\n",
       "      <td>0.468</td>\n",
       "      <td>895</td>\n",
       "      <td>2402</td>\n",
       "      <td>0.373</td>\n",
       "      <td>...</td>\n",
       "      <td>0.803</td>\n",
       "      <td>719</td>\n",
       "      <td>2352</td>\n",
       "      <td>3071</td>\n",
       "      <td>1754</td>\n",
       "      <td>557</td>\n",
       "      <td>363</td>\n",
       "      <td>886</td>\n",
       "      <td>1422</td>\n",
       "      <td>8019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14.0</td>\n",
       "      <td>Philadelphia 76ers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>2981</td>\n",
       "      <td>6257</td>\n",
       "      <td>0.476</td>\n",
       "      <td>811</td>\n",
       "      <td>2169</td>\n",
       "      <td>0.374</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764</td>\n",
       "      <td>702</td>\n",
       "      <td>2388</td>\n",
       "      <td>3090</td>\n",
       "      <td>1694</td>\n",
       "      <td>521</td>\n",
       "      <td>335</td>\n",
       "      <td>1122</td>\n",
       "      <td>1509</td>\n",
       "      <td>7780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15.0</td>\n",
       "      <td>Memphis Grizzlies*</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>3085</td>\n",
       "      <td>6608</td>\n",
       "      <td>0.467</td>\n",
       "      <td>803</td>\n",
       "      <td>2258</td>\n",
       "      <td>0.356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.788</td>\n",
       "      <td>704</td>\n",
       "      <td>2515</td>\n",
       "      <td>3219</td>\n",
       "      <td>1827</td>\n",
       "      <td>552</td>\n",
       "      <td>377</td>\n",
       "      <td>1068</td>\n",
       "      <td>1318</td>\n",
       "      <td>8083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16.0</td>\n",
       "      <td>Boston Celtics*</td>\n",
       "      <td>72</td>\n",
       "      <td>17380</td>\n",
       "      <td>2985</td>\n",
       "      <td>6401</td>\n",
       "      <td>0.466</td>\n",
       "      <td>979</td>\n",
       "      <td>2618</td>\n",
       "      <td>0.374</td>\n",
       "      <td>...</td>\n",
       "      <td>0.785</td>\n",
       "      <td>677</td>\n",
       "      <td>2382</td>\n",
       "      <td>3059</td>\n",
       "      <td>1732</td>\n",
       "      <td>531</td>\n",
       "      <td>334</td>\n",
       "      <td>1015</td>\n",
       "      <td>1389</td>\n",
       "      <td>8004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17.0</td>\n",
       "      <td>Dallas Mavericks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2958</td>\n",
       "      <td>6287</td>\n",
       "      <td>0.470</td>\n",
       "      <td>994</td>\n",
       "      <td>2744</td>\n",
       "      <td>0.362</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764</td>\n",
       "      <td>704</td>\n",
       "      <td>2460</td>\n",
       "      <td>3164</td>\n",
       "      <td>1631</td>\n",
       "      <td>527</td>\n",
       "      <td>264</td>\n",
       "      <td>908</td>\n",
       "      <td>1446</td>\n",
       "      <td>7933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18.0</td>\n",
       "      <td>Minnesota Timberwolves</td>\n",
       "      <td>72</td>\n",
       "      <td>17405</td>\n",
       "      <td>2932</td>\n",
       "      <td>6546</td>\n",
       "      <td>0.448</td>\n",
       "      <td>944</td>\n",
       "      <td>2706</td>\n",
       "      <td>0.349</td>\n",
       "      <td>...</td>\n",
       "      <td>0.786</td>\n",
       "      <td>718</td>\n",
       "      <td>2579</td>\n",
       "      <td>3297</td>\n",
       "      <td>1932</td>\n",
       "      <td>550</td>\n",
       "      <td>398</td>\n",
       "      <td>1102</td>\n",
       "      <td>1432</td>\n",
       "      <td>8473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19.0</td>\n",
       "      <td>Toronto Raptors</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2859</td>\n",
       "      <td>6383</td>\n",
       "      <td>0.448</td>\n",
       "      <td>1041</td>\n",
       "      <td>2831</td>\n",
       "      <td>0.368</td>\n",
       "      <td>...</td>\n",
       "      <td>0.799</td>\n",
       "      <td>720</td>\n",
       "      <td>2582</td>\n",
       "      <td>3302</td>\n",
       "      <td>1872</td>\n",
       "      <td>477</td>\n",
       "      <td>402</td>\n",
       "      <td>1161</td>\n",
       "      <td>1405</td>\n",
       "      <td>8045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20.0</td>\n",
       "      <td>San Antonio Spurs</td>\n",
       "      <td>72</td>\n",
       "      <td>17480</td>\n",
       "      <td>3014</td>\n",
       "      <td>6518</td>\n",
       "      <td>0.462</td>\n",
       "      <td>716</td>\n",
       "      <td>2046</td>\n",
       "      <td>0.350</td>\n",
       "      <td>...</td>\n",
       "      <td>0.758</td>\n",
       "      <td>732</td>\n",
       "      <td>2681</td>\n",
       "      <td>3413</td>\n",
       "      <td>1784</td>\n",
       "      <td>454</td>\n",
       "      <td>369</td>\n",
       "      <td>949</td>\n",
       "      <td>1338</td>\n",
       "      <td>8123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21.0</td>\n",
       "      <td>Chicago Bulls</td>\n",
       "      <td>72</td>\n",
       "      <td>17380</td>\n",
       "      <td>3035</td>\n",
       "      <td>6380</td>\n",
       "      <td>0.476</td>\n",
       "      <td>904</td>\n",
       "      <td>2446</td>\n",
       "      <td>0.370</td>\n",
       "      <td>...</td>\n",
       "      <td>0.774</td>\n",
       "      <td>624</td>\n",
       "      <td>2410</td>\n",
       "      <td>3034</td>\n",
       "      <td>1737</td>\n",
       "      <td>614</td>\n",
       "      <td>364</td>\n",
       "      <td>917</td>\n",
       "      <td>1277</td>\n",
       "      <td>8033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22.0</td>\n",
       "      <td>Los Angeles Lakers*</td>\n",
       "      <td>72</td>\n",
       "      <td>17455</td>\n",
       "      <td>2925</td>\n",
       "      <td>6197</td>\n",
       "      <td>0.472</td>\n",
       "      <td>796</td>\n",
       "      <td>2248</td>\n",
       "      <td>0.354</td>\n",
       "      <td>...</td>\n",
       "      <td>0.776</td>\n",
       "      <td>634</td>\n",
       "      <td>2392</td>\n",
       "      <td>3026</td>\n",
       "      <td>1776</td>\n",
       "      <td>593</td>\n",
       "      <td>327</td>\n",
       "      <td>1095</td>\n",
       "      <td>1530</td>\n",
       "      <td>7686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23.0</td>\n",
       "      <td>Charlotte Hornets</td>\n",
       "      <td>72</td>\n",
       "      <td>17355</td>\n",
       "      <td>2875</td>\n",
       "      <td>6324</td>\n",
       "      <td>0.455</td>\n",
       "      <td>985</td>\n",
       "      <td>2666</td>\n",
       "      <td>0.369</td>\n",
       "      <td>...</td>\n",
       "      <td>0.745</td>\n",
       "      <td>766</td>\n",
       "      <td>2487</td>\n",
       "      <td>3253</td>\n",
       "      <td>1951</td>\n",
       "      <td>582</td>\n",
       "      <td>347</td>\n",
       "      <td>1062</td>\n",
       "      <td>1340</td>\n",
       "      <td>8020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24.0</td>\n",
       "      <td>Houston Rockets</td>\n",
       "      <td>72</td>\n",
       "      <td>17305</td>\n",
       "      <td>2826</td>\n",
       "      <td>6372</td>\n",
       "      <td>0.444</td>\n",
       "      <td>992</td>\n",
       "      <td>2923</td>\n",
       "      <td>0.339</td>\n",
       "      <td>...</td>\n",
       "      <td>0.783</td>\n",
       "      <td>713</td>\n",
       "      <td>2713</td>\n",
       "      <td>3426</td>\n",
       "      <td>1855</td>\n",
       "      <td>611</td>\n",
       "      <td>378</td>\n",
       "      <td>1055</td>\n",
       "      <td>1388</td>\n",
       "      <td>8402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25.0</td>\n",
       "      <td>Miami Heat*</td>\n",
       "      <td>72</td>\n",
       "      <td>17380</td>\n",
       "      <td>2824</td>\n",
       "      <td>6029</td>\n",
       "      <td>0.468</td>\n",
       "      <td>932</td>\n",
       "      <td>2606</td>\n",
       "      <td>0.358</td>\n",
       "      <td>...</td>\n",
       "      <td>0.782</td>\n",
       "      <td>684</td>\n",
       "      <td>2404</td>\n",
       "      <td>3088</td>\n",
       "      <td>1857</td>\n",
       "      <td>541</td>\n",
       "      <td>287</td>\n",
       "      <td>1085</td>\n",
       "      <td>1414</td>\n",
       "      <td>7779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26.0</td>\n",
       "      <td>New York Knicks*</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>2839</td>\n",
       "      <td>6225</td>\n",
       "      <td>0.456</td>\n",
       "      <td>847</td>\n",
       "      <td>2163</td>\n",
       "      <td>0.392</td>\n",
       "      <td>...</td>\n",
       "      <td>0.761</td>\n",
       "      <td>695</td>\n",
       "      <td>2478</td>\n",
       "      <td>3173</td>\n",
       "      <td>1696</td>\n",
       "      <td>472</td>\n",
       "      <td>391</td>\n",
       "      <td>918</td>\n",
       "      <td>1286</td>\n",
       "      <td>7540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27.0</td>\n",
       "      <td>Detroit Pistons</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>2783</td>\n",
       "      <td>6162</td>\n",
       "      <td>0.452</td>\n",
       "      <td>832</td>\n",
       "      <td>2370</td>\n",
       "      <td>0.351</td>\n",
       "      <td>...</td>\n",
       "      <td>0.760</td>\n",
       "      <td>717</td>\n",
       "      <td>2475</td>\n",
       "      <td>3192</td>\n",
       "      <td>1785</td>\n",
       "      <td>578</td>\n",
       "      <td>419</td>\n",
       "      <td>1004</td>\n",
       "      <td>1469</td>\n",
       "      <td>7998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28.0</td>\n",
       "      <td>Oklahoma City Thunder</td>\n",
       "      <td>72</td>\n",
       "      <td>17355</td>\n",
       "      <td>2795</td>\n",
       "      <td>6338</td>\n",
       "      <td>0.441</td>\n",
       "      <td>857</td>\n",
       "      <td>2529</td>\n",
       "      <td>0.339</td>\n",
       "      <td>...</td>\n",
       "      <td>0.773</td>\n",
       "      <td>729</td>\n",
       "      <td>2663</td>\n",
       "      <td>3392</td>\n",
       "      <td>1856</td>\n",
       "      <td>647</td>\n",
       "      <td>378</td>\n",
       "      <td>942</td>\n",
       "      <td>1336</td>\n",
       "      <td>8326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29.0</td>\n",
       "      <td>Orlando Magic</td>\n",
       "      <td>72</td>\n",
       "      <td>17330</td>\n",
       "      <td>2754</td>\n",
       "      <td>6423</td>\n",
       "      <td>0.429</td>\n",
       "      <td>784</td>\n",
       "      <td>2288</td>\n",
       "      <td>0.343</td>\n",
       "      <td>...</td>\n",
       "      <td>0.786</td>\n",
       "      <td>704</td>\n",
       "      <td>2706</td>\n",
       "      <td>3410</td>\n",
       "      <td>1874</td>\n",
       "      <td>548</td>\n",
       "      <td>384</td>\n",
       "      <td>917</td>\n",
       "      <td>1343</td>\n",
       "      <td>8158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30.0</td>\n",
       "      <td>Cleveland Cavaliers</td>\n",
       "      <td>72</td>\n",
       "      <td>17430</td>\n",
       "      <td>2778</td>\n",
       "      <td>6175</td>\n",
       "      <td>0.450</td>\n",
       "      <td>720</td>\n",
       "      <td>2141</td>\n",
       "      <td>0.336</td>\n",
       "      <td>...</td>\n",
       "      <td>0.779</td>\n",
       "      <td>712</td>\n",
       "      <td>2437</td>\n",
       "      <td>3149</td>\n",
       "      <td>1828</td>\n",
       "      <td>613</td>\n",
       "      <td>425</td>\n",
       "      <td>1033</td>\n",
       "      <td>1451</td>\n",
       "      <td>8084</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Rk                     Team   G     MP    FG   FGA    FG%    3P   3PA  \\\n",
       "0    1.0         Milwaukee Bucks*  72  17330  3221  6610  0.487  1038  2669   \n",
       "1    2.0           Brooklyn Nets*  72  17405  3106  6289  0.494  1020  2600   \n",
       "2    3.0      Washington Wizards*  72  17405  3108  6547  0.475   733  2088   \n",
       "3    4.0               Utah Jazz*  72  17355  2971  6344  0.468  1205  3098   \n",
       "4    5.0  Portland Trail Blazers*  72  17305  2973  6558  0.453  1132  2939   \n",
       "5    6.0           Indiana Pacers  72  17455  3115  6567  0.474   889  2445   \n",
       "6    7.0            Phoenix Suns*  72  17480  3118  6357  0.490   940  2490   \n",
       "7    8.0          Denver Nuggets*  72  17480  3114  6422  0.485   927  2462   \n",
       "8    9.0     New Orleans Pelicans  72  17430  3060  6412  0.477   762  2190   \n",
       "9   10.0    Los Angeles Clippers*  72  17280  3009  6242  0.482  1027  2498   \n",
       "10  11.0         Sacramento Kings  72  17305  3067  6382  0.481   874  2400   \n",
       "11  12.0    Golden State Warriors  72  17305  2973  6347  0.468  1048  2789   \n",
       "12  13.0           Atlanta Hawks*  72  17405  2937  6281  0.468   895  2402   \n",
       "13  14.0      Philadelphia 76ers*  72  17430  2981  6257  0.476   811  2169   \n",
       "14  15.0       Memphis Grizzlies*  72  17405  3085  6608  0.467   803  2258   \n",
       "15  16.0          Boston Celtics*  72  17380  2985  6401  0.466   979  2618   \n",
       "16  17.0        Dallas Mavericks*  72  17305  2958  6287  0.470   994  2744   \n",
       "17  18.0   Minnesota Timberwolves  72  17405  2932  6546  0.448   944  2706   \n",
       "18  19.0          Toronto Raptors  72  17305  2859  6383  0.448  1041  2831   \n",
       "19  20.0        San Antonio Spurs  72  17480  3014  6518  0.462   716  2046   \n",
       "20  21.0            Chicago Bulls  72  17380  3035  6380  0.476   904  2446   \n",
       "21  22.0      Los Angeles Lakers*  72  17455  2925  6197  0.472   796  2248   \n",
       "22  23.0        Charlotte Hornets  72  17355  2875  6324  0.455   985  2666   \n",
       "23  24.0          Houston Rockets  72  17305  2826  6372  0.444   992  2923   \n",
       "24  25.0              Miami Heat*  72  17380  2824  6029  0.468   932  2606   \n",
       "25  26.0         New York Knicks*  72  17430  2839  6225  0.456   847  2163   \n",
       "26  27.0          Detroit Pistons  72  17430  2783  6162  0.452   832  2370   \n",
       "27  28.0    Oklahoma City Thunder  72  17355  2795  6338  0.441   857  2529   \n",
       "28  29.0            Orlando Magic  72  17330  2754  6423  0.429   784  2288   \n",
       "29  30.0      Cleveland Cavaliers  72  17430  2778  6175  0.450   720  2141   \n",
       "\n",
       "      3P%  ...  Opp_FT%  Opp_ORB  Opp_DRB  Opp_TRB  Opp_AST  Opp_STL  Opp_BLK  \\\n",
       "0   0.389  ...    0.780      693     2435     3128     1804      507      348   \n",
       "1   0.392  ...    0.775      753     2348     3101     1729      550      330   \n",
       "2   0.351  ...    0.781      738     2580     3318     1762      587      348   \n",
       "3   0.389  ...    0.768      706     2362     3068     1604      554      282   \n",
       "4   0.385  ...    0.787      710     2558     3268     1794      440      333   \n",
       "5   0.364  ...    0.782      813     2555     3368     1877      535      381   \n",
       "6   0.378  ...    0.778      674     2401     3075     1652      498      258   \n",
       "7   0.377  ...    0.773      652     2314     2966     1864      540      325   \n",
       "8   0.348  ...    0.790      644     2366     3010     1866      555      426   \n",
       "9   0.411  ...    0.777      659     2307     2966     1650      510      304   \n",
       "10  0.364  ...    0.787      767     2489     3256     1823      545      336   \n",
       "11  0.376  ...    0.778      769     2635     3404     1711      567      312   \n",
       "12  0.373  ...    0.803      719     2352     3071     1754      557      363   \n",
       "13  0.374  ...    0.764      702     2388     3090     1694      521      335   \n",
       "14  0.356  ...    0.788      704     2515     3219     1827      552      377   \n",
       "15  0.374  ...    0.785      677     2382     3059     1732      531      334   \n",
       "16  0.362  ...    0.764      704     2460     3164     1631      527      264   \n",
       "17  0.349  ...    0.786      718     2579     3297     1932      550      398   \n",
       "18  0.368  ...    0.799      720     2582     3302     1872      477      402   \n",
       "19  0.350  ...    0.758      732     2681     3413     1784      454      369   \n",
       "20  0.370  ...    0.774      624     2410     3034     1737      614      364   \n",
       "21  0.354  ...    0.776      634     2392     3026     1776      593      327   \n",
       "22  0.369  ...    0.745      766     2487     3253     1951      582      347   \n",
       "23  0.339  ...    0.783      713     2713     3426     1855      611      378   \n",
       "24  0.358  ...    0.782      684     2404     3088     1857      541      287   \n",
       "25  0.392  ...    0.761      695     2478     3173     1696      472      391   \n",
       "26  0.351  ...    0.760      717     2475     3192     1785      578      419   \n",
       "27  0.339  ...    0.773      729     2663     3392     1856      647      378   \n",
       "28  0.343  ...    0.786      704     2706     3410     1874      548      384   \n",
       "29  0.336  ...    0.779      712     2437     3149     1828      613      425   \n",
       "\n",
       "    Opp_TOV  Opp_PF  Opp_PTS  \n",
       "0       947    1320     8225  \n",
       "1       908    1361     8213  \n",
       "2      1056    1586     8530  \n",
       "3       827    1365     7716  \n",
       "4       892    1374     8231  \n",
       "5      1066    1306     8305  \n",
       "6       981    1294     7881  \n",
       "7      1014    1379     7929  \n",
       "8       961    1534     8272  \n",
       "9       925    1303     7764  \n",
       "10      988    1348     8454  \n",
       "11     1083    1406     8111  \n",
       "12      886    1422     8019  \n",
       "13     1122    1509     7780  \n",
       "14     1068    1318     8083  \n",
       "15     1015    1389     8004  \n",
       "16      908    1446     7933  \n",
       "17     1102    1432     8473  \n",
       "18     1161    1405     8045  \n",
       "19      949    1338     8123  \n",
       "20      917    1277     8033  \n",
       "21     1095    1530     7686  \n",
       "22     1062    1340     8020  \n",
       "23     1055    1388     8402  \n",
       "24     1085    1414     7779  \n",
       "25      918    1286     7540  \n",
       "26     1004    1469     7998  \n",
       "27      942    1336     8326  \n",
       "28      917    1343     8158  \n",
       "29     1033    1451     8084  \n",
       "\n",
       "[30 rows x 50 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabela"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18c743c3",
   "metadata": {},
   "source": [
    "Primetite da pored naziva nekih timova u tabeli __tabela__ stoji zvezdica. Šta god to značilo, to nam ovde smeta da povežemo podatke sa tabelom __pobede__ u kojoj nazivi timova nemaju zvezdicu. Pomoću funkcije `str.replace()` ćemo zameniti znak zvezdica praznim stringom."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "72365e68",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabela['Team']=tabela['Team'].str.replace('*','',regex=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ba1d3e9",
   "metadata": {},
   "source": [
    "Sada možemo da povežemo statistike sa brojem pobeda. To praktično znači da ćemo tabeli dodati kolonu u kojoj piše koliko je koji tim ostvario pobeda."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ebd30614",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabela=tabela.merge(pobede,on='Team')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4bb6f83d",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabela"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e72a2fde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Rk', 'Team', 'G', 'MP', 'FG', 'FGA', 'FG%', '3P', '3PA', '3P%', '2P',\n",
       "       '2PA', '2P%', 'FT', 'FTA', 'FT%', 'ORB', 'DRB', 'TRB', 'AST', 'STL',\n",
       "       'BLK', 'TOV', 'PF', 'PTS', 'Opp_Rk', 'Opp_Team', 'Opp_G', 'Opp_MP',\n",
       "       'Opp_FG', 'Opp_FGA', 'Opp_FG%', 'Opp_3P', 'Opp_3PA', 'Opp_3P%',\n",
       "       'Opp_2P', 'Opp_2PA', 'Opp_2P%', 'Opp_FT', 'Opp_FTA', 'Opp_FT%',\n",
       "       'Opp_ORB', 'Opp_DRB', 'Opp_TRB', 'Opp_AST', 'Opp_STL', 'Opp_BLK',\n",
       "       'Opp_TOV', 'Opp_PF', 'Opp_PTS', 'W'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabela.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea9fcab3",
   "metadata": {},
   "source": [
    "Imamo 51 kolonu što je mnogo za prikazivanje na ekranu. Bilo bi dobro da neke nepotrebne izbrišemo. Za početak treba izbrisati tekstualne podatke, rang i broj odigranih utakmica (pošto su svi morali da odigraju isti broj utakmica u sezoni)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ca220ab9",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabela.drop(['Rk','G','Opp_Rk','Opp_Team','Opp_G'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae04bd98",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabela"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc897fb0",
   "metadata": {},
   "source": [
    "Ni sada nije mnogo bolje, ali su barem sve vrednosti numeričke pa ćemo moći da izračunamo koreficijent korelacije. Usvari, biće sve numeričke kada naziv tima izmestimo iz tabele i pretvorimo ga u indeksnu kolonu."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f0b8bbf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabela.index=tabela['Team']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "75cde060",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabela.drop('Team',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58426f70",
   "metadata": {},
   "source": [
    "To je sad ta tabela koji treba da analiziramo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "07a8d86e",
   "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>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>3P</th>\n",
       "      <th>3PA</th>\n",
       "      <th>3P%</th>\n",
       "      <th>2P</th>\n",
       "      <th>2PA</th>\n",
       "      <th>2P%</th>\n",
       "      <th>...</th>\n",
       "      <th>Opp_ORB</th>\n",
       "      <th>Opp_DRB</th>\n",
       "      <th>Opp_TRB</th>\n",
       "      <th>Opp_AST</th>\n",
       "      <th>Opp_STL</th>\n",
       "      <th>Opp_BLK</th>\n",
       "      <th>Opp_TOV</th>\n",
       "      <th>Opp_PF</th>\n",
       "      <th>Opp_PTS</th>\n",
       "      <th>W</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Team</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Milwaukee Bucks</th>\n",
       "      <td>17330</td>\n",
       "      <td>3221</td>\n",
       "      <td>6610</td>\n",
       "      <td>0.487</td>\n",
       "      <td>1038</td>\n",
       "      <td>2669</td>\n",
       "      <td>0.389</td>\n",
       "      <td>2183</td>\n",
       "      <td>3941</td>\n",
       "      <td>0.554</td>\n",
       "      <td>...</td>\n",
       "      <td>693</td>\n",
       "      <td>2435</td>\n",
       "      <td>3128</td>\n",
       "      <td>1804</td>\n",
       "      <td>507</td>\n",
       "      <td>348</td>\n",
       "      <td>947</td>\n",
       "      <td>1320</td>\n",
       "      <td>8225</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn Nets</th>\n",
       "      <td>17405</td>\n",
       "      <td>3106</td>\n",
       "      <td>6289</td>\n",
       "      <td>0.494</td>\n",
       "      <td>1020</td>\n",
       "      <td>2600</td>\n",
       "      <td>0.392</td>\n",
       "      <td>2086</td>\n",
       "      <td>3689</td>\n",
       "      <td>0.565</td>\n",
       "      <td>...</td>\n",
       "      <td>753</td>\n",
       "      <td>2348</td>\n",
       "      <td>3101</td>\n",
       "      <td>1729</td>\n",
       "      <td>550</td>\n",
       "      <td>330</td>\n",
       "      <td>908</td>\n",
       "      <td>1361</td>\n",
       "      <td>8213</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington Wizards</th>\n",
       "      <td>17405</td>\n",
       "      <td>3108</td>\n",
       "      <td>6547</td>\n",
       "      <td>0.475</td>\n",
       "      <td>733</td>\n",
       "      <td>2088</td>\n",
       "      <td>0.351</td>\n",
       "      <td>2375</td>\n",
       "      <td>4459</td>\n",
       "      <td>0.533</td>\n",
       "      <td>...</td>\n",
       "      <td>738</td>\n",
       "      <td>2580</td>\n",
       "      <td>3318</td>\n",
       "      <td>1762</td>\n",
       "      <td>587</td>\n",
       "      <td>348</td>\n",
       "      <td>1056</td>\n",
       "      <td>1586</td>\n",
       "      <td>8530</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah Jazz</th>\n",
       "      <td>17355</td>\n",
       "      <td>2971</td>\n",
       "      <td>6344</td>\n",
       "      <td>0.468</td>\n",
       "      <td>1205</td>\n",
       "      <td>3098</td>\n",
       "      <td>0.389</td>\n",
       "      <td>1766</td>\n",
       "      <td>3246</td>\n",
       "      <td>0.544</td>\n",
       "      <td>...</td>\n",
       "      <td>706</td>\n",
       "      <td>2362</td>\n",
       "      <td>3068</td>\n",
       "      <td>1604</td>\n",
       "      <td>554</td>\n",
       "      <td>282</td>\n",
       "      <td>827</td>\n",
       "      <td>1365</td>\n",
       "      <td>7716</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland Trail Blazers</th>\n",
       "      <td>17305</td>\n",
       "      <td>2973</td>\n",
       "      <td>6558</td>\n",
       "      <td>0.453</td>\n",
       "      <td>1132</td>\n",
       "      <td>2939</td>\n",
       "      <td>0.385</td>\n",
       "      <td>1841</td>\n",
       "      <td>3619</td>\n",
       "      <td>0.509</td>\n",
       "      <td>...</td>\n",
       "      <td>710</td>\n",
       "      <td>2558</td>\n",
       "      <td>3268</td>\n",
       "      <td>1794</td>\n",
       "      <td>440</td>\n",
       "      <td>333</td>\n",
       "      <td>892</td>\n",
       "      <td>1374</td>\n",
       "      <td>8231</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana Pacers</th>\n",
       "      <td>17455</td>\n",
       "      <td>3115</td>\n",
       "      <td>6567</td>\n",
       "      <td>0.474</td>\n",
       "      <td>889</td>\n",
       "      <td>2445</td>\n",
       "      <td>0.364</td>\n",
       "      <td>2226</td>\n",
       "      <td>4122</td>\n",
       "      <td>0.540</td>\n",
       "      <td>...</td>\n",
       "      <td>813</td>\n",
       "      <td>2555</td>\n",
       "      <td>3368</td>\n",
       "      <td>1877</td>\n",
       "      <td>535</td>\n",
       "      <td>381</td>\n",
       "      <td>1066</td>\n",
       "      <td>1306</td>\n",
       "      <td>8305</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Phoenix Suns</th>\n",
       "      <td>17480</td>\n",
       "      <td>3118</td>\n",
       "      <td>6357</td>\n",
       "      <td>0.490</td>\n",
       "      <td>940</td>\n",
       "      <td>2490</td>\n",
       "      <td>0.378</td>\n",
       "      <td>2178</td>\n",
       "      <td>3867</td>\n",
       "      <td>0.563</td>\n",
       "      <td>...</td>\n",
       "      <td>674</td>\n",
       "      <td>2401</td>\n",
       "      <td>3075</td>\n",
       "      <td>1652</td>\n",
       "      <td>498</td>\n",
       "      <td>258</td>\n",
       "      <td>981</td>\n",
       "      <td>1294</td>\n",
       "      <td>7881</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denver Nuggets</th>\n",
       "      <td>17480</td>\n",
       "      <td>3114</td>\n",
       "      <td>6422</td>\n",
       "      <td>0.485</td>\n",
       "      <td>927</td>\n",
       "      <td>2462</td>\n",
       "      <td>0.377</td>\n",
       "      <td>2187</td>\n",
       "      <td>3960</td>\n",
       "      <td>0.552</td>\n",
       "      <td>...</td>\n",
       "      <td>652</td>\n",
       "      <td>2314</td>\n",
       "      <td>2966</td>\n",
       "      <td>1864</td>\n",
       "      <td>540</td>\n",
       "      <td>325</td>\n",
       "      <td>1014</td>\n",
       "      <td>1379</td>\n",
       "      <td>7929</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Orleans Pelicans</th>\n",
       "      <td>17430</td>\n",
       "      <td>3060</td>\n",
       "      <td>6412</td>\n",
       "      <td>0.477</td>\n",
       "      <td>762</td>\n",
       "      <td>2190</td>\n",
       "      <td>0.348</td>\n",
       "      <td>2298</td>\n",
       "      <td>4222</td>\n",
       "      <td>0.544</td>\n",
       "      <td>...</td>\n",
       "      <td>644</td>\n",
       "      <td>2366</td>\n",
       "      <td>3010</td>\n",
       "      <td>1866</td>\n",
       "      <td>555</td>\n",
       "      <td>426</td>\n",
       "      <td>961</td>\n",
       "      <td>1534</td>\n",
       "      <td>8272</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles Clippers</th>\n",
       "      <td>17280</td>\n",
       "      <td>3009</td>\n",
       "      <td>6242</td>\n",
       "      <td>0.482</td>\n",
       "      <td>1027</td>\n",
       "      <td>2498</td>\n",
       "      <td>0.411</td>\n",
       "      <td>1982</td>\n",
       "      <td>3744</td>\n",
       "      <td>0.529</td>\n",
       "      <td>...</td>\n",
       "      <td>659</td>\n",
       "      <td>2307</td>\n",
       "      <td>2966</td>\n",
       "      <td>1650</td>\n",
       "      <td>510</td>\n",
       "      <td>304</td>\n",
       "      <td>925</td>\n",
       "      <td>1303</td>\n",
       "      <td>7764</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sacramento Kings</th>\n",
       "      <td>17305</td>\n",
       "      <td>3067</td>\n",
       "      <td>6382</td>\n",
       "      <td>0.481</td>\n",
       "      <td>874</td>\n",
       "      <td>2400</td>\n",
       "      <td>0.364</td>\n",
       "      <td>2193</td>\n",
       "      <td>3982</td>\n",
       "      <td>0.551</td>\n",
       "      <td>...</td>\n",
       "      <td>767</td>\n",
       "      <td>2489</td>\n",
       "      <td>3256</td>\n",
       "      <td>1823</td>\n",
       "      <td>545</td>\n",
       "      <td>336</td>\n",
       "      <td>988</td>\n",
       "      <td>1348</td>\n",
       "      <td>8454</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Golden State Warriors</th>\n",
       "      <td>17305</td>\n",
       "      <td>2973</td>\n",
       "      <td>6347</td>\n",
       "      <td>0.468</td>\n",
       "      <td>1048</td>\n",
       "      <td>2789</td>\n",
       "      <td>0.376</td>\n",
       "      <td>1925</td>\n",
       "      <td>3558</td>\n",
       "      <td>0.541</td>\n",
       "      <td>...</td>\n",
       "      <td>769</td>\n",
       "      <td>2635</td>\n",
       "      <td>3404</td>\n",
       "      <td>1711</td>\n",
       "      <td>567</td>\n",
       "      <td>312</td>\n",
       "      <td>1083</td>\n",
       "      <td>1406</td>\n",
       "      <td>8111</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Atlanta Hawks</th>\n",
       "      <td>17405</td>\n",
       "      <td>2937</td>\n",
       "      <td>6281</td>\n",
       "      <td>0.468</td>\n",
       "      <td>895</td>\n",
       "      <td>2402</td>\n",
       "      <td>0.373</td>\n",
       "      <td>2042</td>\n",
       "      <td>3879</td>\n",
       "      <td>0.526</td>\n",
       "      <td>...</td>\n",
       "      <td>719</td>\n",
       "      <td>2352</td>\n",
       "      <td>3071</td>\n",
       "      <td>1754</td>\n",
       "      <td>557</td>\n",
       "      <td>363</td>\n",
       "      <td>886</td>\n",
       "      <td>1422</td>\n",
       "      <td>8019</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Philadelphia 76ers</th>\n",
       "      <td>17430</td>\n",
       "      <td>2981</td>\n",
       "      <td>6257</td>\n",
       "      <td>0.476</td>\n",
       "      <td>811</td>\n",
       "      <td>2169</td>\n",
       "      <td>0.374</td>\n",
       "      <td>2170</td>\n",
       "      <td>4088</td>\n",
       "      <td>0.531</td>\n",
       "      <td>...</td>\n",
       "      <td>702</td>\n",
       "      <td>2388</td>\n",
       "      <td>3090</td>\n",
       "      <td>1694</td>\n",
       "      <td>521</td>\n",
       "      <td>335</td>\n",
       "      <td>1122</td>\n",
       "      <td>1509</td>\n",
       "      <td>7780</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Memphis Grizzlies</th>\n",
       "      <td>17405</td>\n",
       "      <td>3085</td>\n",
       "      <td>6608</td>\n",
       "      <td>0.467</td>\n",
       "      <td>803</td>\n",
       "      <td>2258</td>\n",
       "      <td>0.356</td>\n",
       "      <td>2282</td>\n",
       "      <td>4350</td>\n",
       "      <td>0.525</td>\n",
       "      <td>...</td>\n",
       "      <td>704</td>\n",
       "      <td>2515</td>\n",
       "      <td>3219</td>\n",
       "      <td>1827</td>\n",
       "      <td>552</td>\n",
       "      <td>377</td>\n",
       "      <td>1068</td>\n",
       "      <td>1318</td>\n",
       "      <td>8083</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston Celtics</th>\n",
       "      <td>17380</td>\n",
       "      <td>2985</td>\n",
       "      <td>6401</td>\n",
       "      <td>0.466</td>\n",
       "      <td>979</td>\n",
       "      <td>2618</td>\n",
       "      <td>0.374</td>\n",
       "      <td>2006</td>\n",
       "      <td>3783</td>\n",
       "      <td>0.530</td>\n",
       "      <td>...</td>\n",
       "      <td>677</td>\n",
       "      <td>2382</td>\n",
       "      <td>3059</td>\n",
       "      <td>1732</td>\n",
       "      <td>531</td>\n",
       "      <td>334</td>\n",
       "      <td>1015</td>\n",
       "      <td>1389</td>\n",
       "      <td>8004</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas Mavericks</th>\n",
       "      <td>17305</td>\n",
       "      <td>2958</td>\n",
       "      <td>6287</td>\n",
       "      <td>0.470</td>\n",
       "      <td>994</td>\n",
       "      <td>2744</td>\n",
       "      <td>0.362</td>\n",
       "      <td>1964</td>\n",
       "      <td>3543</td>\n",
       "      <td>0.554</td>\n",
       "      <td>...</td>\n",
       "      <td>704</td>\n",
       "      <td>2460</td>\n",
       "      <td>3164</td>\n",
       "      <td>1631</td>\n",
       "      <td>527</td>\n",
       "      <td>264</td>\n",
       "      <td>908</td>\n",
       "      <td>1446</td>\n",
       "      <td>7933</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota Timberwolves</th>\n",
       "      <td>17405</td>\n",
       "      <td>2932</td>\n",
       "      <td>6546</td>\n",
       "      <td>0.448</td>\n",
       "      <td>944</td>\n",
       "      <td>2706</td>\n",
       "      <td>0.349</td>\n",
       "      <td>1988</td>\n",
       "      <td>3840</td>\n",
       "      <td>0.518</td>\n",
       "      <td>...</td>\n",
       "      <td>718</td>\n",
       "      <td>2579</td>\n",
       "      <td>3297</td>\n",
       "      <td>1932</td>\n",
       "      <td>550</td>\n",
       "      <td>398</td>\n",
       "      <td>1102</td>\n",
       "      <td>1432</td>\n",
       "      <td>8473</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Raptors</th>\n",
       "      <td>17305</td>\n",
       "      <td>2859</td>\n",
       "      <td>6383</td>\n",
       "      <td>0.448</td>\n",
       "      <td>1041</td>\n",
       "      <td>2831</td>\n",
       "      <td>0.368</td>\n",
       "      <td>1818</td>\n",
       "      <td>3552</td>\n",
       "      <td>0.512</td>\n",
       "      <td>...</td>\n",
       "      <td>720</td>\n",
       "      <td>2582</td>\n",
       "      <td>3302</td>\n",
       "      <td>1872</td>\n",
       "      <td>477</td>\n",
       "      <td>402</td>\n",
       "      <td>1161</td>\n",
       "      <td>1405</td>\n",
       "      <td>8045</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Antonio Spurs</th>\n",
       "      <td>17480</td>\n",
       "      <td>3014</td>\n",
       "      <td>6518</td>\n",
       "      <td>0.462</td>\n",
       "      <td>716</td>\n",
       "      <td>2046</td>\n",
       "      <td>0.350</td>\n",
       "      <td>2298</td>\n",
       "      <td>4472</td>\n",
       "      <td>0.514</td>\n",
       "      <td>...</td>\n",
       "      <td>732</td>\n",
       "      <td>2681</td>\n",
       "      <td>3413</td>\n",
       "      <td>1784</td>\n",
       "      <td>454</td>\n",
       "      <td>369</td>\n",
       "      <td>949</td>\n",
       "      <td>1338</td>\n",
       "      <td>8123</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chicago Bulls</th>\n",
       "      <td>17380</td>\n",
       "      <td>3035</td>\n",
       "      <td>6380</td>\n",
       "      <td>0.476</td>\n",
       "      <td>904</td>\n",
       "      <td>2446</td>\n",
       "      <td>0.370</td>\n",
       "      <td>2131</td>\n",
       "      <td>3934</td>\n",
       "      <td>0.542</td>\n",
       "      <td>...</td>\n",
       "      <td>624</td>\n",
       "      <td>2410</td>\n",
       "      <td>3034</td>\n",
       "      <td>1737</td>\n",
       "      <td>614</td>\n",
       "      <td>364</td>\n",
       "      <td>917</td>\n",
       "      <td>1277</td>\n",
       "      <td>8033</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles Lakers</th>\n",
       "      <td>17455</td>\n",
       "      <td>2925</td>\n",
       "      <td>6197</td>\n",
       "      <td>0.472</td>\n",
       "      <td>796</td>\n",
       "      <td>2248</td>\n",
       "      <td>0.354</td>\n",
       "      <td>2129</td>\n",
       "      <td>3949</td>\n",
       "      <td>0.539</td>\n",
       "      <td>...</td>\n",
       "      <td>634</td>\n",
       "      <td>2392</td>\n",
       "      <td>3026</td>\n",
       "      <td>1776</td>\n",
       "      <td>593</td>\n",
       "      <td>327</td>\n",
       "      <td>1095</td>\n",
       "      <td>1530</td>\n",
       "      <td>7686</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Charlotte Hornets</th>\n",
       "      <td>17355</td>\n",
       "      <td>2875</td>\n",
       "      <td>6324</td>\n",
       "      <td>0.455</td>\n",
       "      <td>985</td>\n",
       "      <td>2666</td>\n",
       "      <td>0.369</td>\n",
       "      <td>1890</td>\n",
       "      <td>3658</td>\n",
       "      <td>0.517</td>\n",
       "      <td>...</td>\n",
       "      <td>766</td>\n",
       "      <td>2487</td>\n",
       "      <td>3253</td>\n",
       "      <td>1951</td>\n",
       "      <td>582</td>\n",
       "      <td>347</td>\n",
       "      <td>1062</td>\n",
       "      <td>1340</td>\n",
       "      <td>8020</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Houston Rockets</th>\n",
       "      <td>17305</td>\n",
       "      <td>2826</td>\n",
       "      <td>6372</td>\n",
       "      <td>0.444</td>\n",
       "      <td>992</td>\n",
       "      <td>2923</td>\n",
       "      <td>0.339</td>\n",
       "      <td>1834</td>\n",
       "      <td>3449</td>\n",
       "      <td>0.532</td>\n",
       "      <td>...</td>\n",
       "      <td>713</td>\n",
       "      <td>2713</td>\n",
       "      <td>3426</td>\n",
       "      <td>1855</td>\n",
       "      <td>611</td>\n",
       "      <td>378</td>\n",
       "      <td>1055</td>\n",
       "      <td>1388</td>\n",
       "      <td>8402</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami Heat</th>\n",
       "      <td>17380</td>\n",
       "      <td>2824</td>\n",
       "      <td>6029</td>\n",
       "      <td>0.468</td>\n",
       "      <td>932</td>\n",
       "      <td>2606</td>\n",
       "      <td>0.358</td>\n",
       "      <td>1892</td>\n",
       "      <td>3423</td>\n",
       "      <td>0.553</td>\n",
       "      <td>...</td>\n",
       "      <td>684</td>\n",
       "      <td>2404</td>\n",
       "      <td>3088</td>\n",
       "      <td>1857</td>\n",
       "      <td>541</td>\n",
       "      <td>287</td>\n",
       "      <td>1085</td>\n",
       "      <td>1414</td>\n",
       "      <td>7779</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Knicks</th>\n",
       "      <td>17430</td>\n",
       "      <td>2839</td>\n",
       "      <td>6225</td>\n",
       "      <td>0.456</td>\n",
       "      <td>847</td>\n",
       "      <td>2163</td>\n",
       "      <td>0.392</td>\n",
       "      <td>1992</td>\n",
       "      <td>4062</td>\n",
       "      <td>0.490</td>\n",
       "      <td>...</td>\n",
       "      <td>695</td>\n",
       "      <td>2478</td>\n",
       "      <td>3173</td>\n",
       "      <td>1696</td>\n",
       "      <td>472</td>\n",
       "      <td>391</td>\n",
       "      <td>918</td>\n",
       "      <td>1286</td>\n",
       "      <td>7540</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Detroit Pistons</th>\n",
       "      <td>17430</td>\n",
       "      <td>2783</td>\n",
       "      <td>6162</td>\n",
       "      <td>0.452</td>\n",
       "      <td>832</td>\n",
       "      <td>2370</td>\n",
       "      <td>0.351</td>\n",
       "      <td>1951</td>\n",
       "      <td>3792</td>\n",
       "      <td>0.515</td>\n",
       "      <td>...</td>\n",
       "      <td>717</td>\n",
       "      <td>2475</td>\n",
       "      <td>3192</td>\n",
       "      <td>1785</td>\n",
       "      <td>578</td>\n",
       "      <td>419</td>\n",
       "      <td>1004</td>\n",
       "      <td>1469</td>\n",
       "      <td>7998</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma City Thunder</th>\n",
       "      <td>17355</td>\n",
       "      <td>2795</td>\n",
       "      <td>6338</td>\n",
       "      <td>0.441</td>\n",
       "      <td>857</td>\n",
       "      <td>2529</td>\n",
       "      <td>0.339</td>\n",
       "      <td>1938</td>\n",
       "      <td>3809</td>\n",
       "      <td>0.509</td>\n",
       "      <td>...</td>\n",
       "      <td>729</td>\n",
       "      <td>2663</td>\n",
       "      <td>3392</td>\n",
       "      <td>1856</td>\n",
       "      <td>647</td>\n",
       "      <td>378</td>\n",
       "      <td>942</td>\n",
       "      <td>1336</td>\n",
       "      <td>8326</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orlando Magic</th>\n",
       "      <td>17330</td>\n",
       "      <td>2754</td>\n",
       "      <td>6423</td>\n",
       "      <td>0.429</td>\n",
       "      <td>784</td>\n",
       "      <td>2288</td>\n",
       "      <td>0.343</td>\n",
       "      <td>1970</td>\n",
       "      <td>4135</td>\n",
       "      <td>0.476</td>\n",
       "      <td>...</td>\n",
       "      <td>704</td>\n",
       "      <td>2706</td>\n",
       "      <td>3410</td>\n",
       "      <td>1874</td>\n",
       "      <td>548</td>\n",
       "      <td>384</td>\n",
       "      <td>917</td>\n",
       "      <td>1343</td>\n",
       "      <td>8158</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleveland Cavaliers</th>\n",
       "      <td>17430</td>\n",
       "      <td>2778</td>\n",
       "      <td>6175</td>\n",
       "      <td>0.450</td>\n",
       "      <td>720</td>\n",
       "      <td>2141</td>\n",
       "      <td>0.336</td>\n",
       "      <td>2058</td>\n",
       "      <td>4034</td>\n",
       "      <td>0.510</td>\n",
       "      <td>...</td>\n",
       "      <td>712</td>\n",
       "      <td>2437</td>\n",
       "      <td>3149</td>\n",
       "      <td>1828</td>\n",
       "      <td>613</td>\n",
       "      <td>425</td>\n",
       "      <td>1033</td>\n",
       "      <td>1451</td>\n",
       "      <td>8084</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           MP    FG   FGA    FG%    3P   3PA    3P%    2P  \\\n",
       "Team                                                                        \n",
       "Milwaukee Bucks         17330  3221  6610  0.487  1038  2669  0.389  2183   \n",
       "Brooklyn Nets           17405  3106  6289  0.494  1020  2600  0.392  2086   \n",
       "Washington Wizards      17405  3108  6547  0.475   733  2088  0.351  2375   \n",
       "Utah Jazz               17355  2971  6344  0.468  1205  3098  0.389  1766   \n",
       "Portland Trail Blazers  17305  2973  6558  0.453  1132  2939  0.385  1841   \n",
       "Indiana Pacers          17455  3115  6567  0.474   889  2445  0.364  2226   \n",
       "Phoenix Suns            17480  3118  6357  0.490   940  2490  0.378  2178   \n",
       "Denver Nuggets          17480  3114  6422  0.485   927  2462  0.377  2187   \n",
       "New Orleans Pelicans    17430  3060  6412  0.477   762  2190  0.348  2298   \n",
       "Los Angeles Clippers    17280  3009  6242  0.482  1027  2498  0.411  1982   \n",
       "Sacramento Kings        17305  3067  6382  0.481   874  2400  0.364  2193   \n",
       "Golden State Warriors   17305  2973  6347  0.468  1048  2789  0.376  1925   \n",
       "Atlanta Hawks           17405  2937  6281  0.468   895  2402  0.373  2042   \n",
       "Philadelphia 76ers      17430  2981  6257  0.476   811  2169  0.374  2170   \n",
       "Memphis Grizzlies       17405  3085  6608  0.467   803  2258  0.356  2282   \n",
       "Boston Celtics          17380  2985  6401  0.466   979  2618  0.374  2006   \n",
       "Dallas Mavericks        17305  2958  6287  0.470   994  2744  0.362  1964   \n",
       "Minnesota Timberwolves  17405  2932  6546  0.448   944  2706  0.349  1988   \n",
       "Toronto Raptors         17305  2859  6383  0.448  1041  2831  0.368  1818   \n",
       "San Antonio Spurs       17480  3014  6518  0.462   716  2046  0.350  2298   \n",
       "Chicago Bulls           17380  3035  6380  0.476   904  2446  0.370  2131   \n",
       "Los Angeles Lakers      17455  2925  6197  0.472   796  2248  0.354  2129   \n",
       "Charlotte Hornets       17355  2875  6324  0.455   985  2666  0.369  1890   \n",
       "Houston Rockets         17305  2826  6372  0.444   992  2923  0.339  1834   \n",
       "Miami Heat              17380  2824  6029  0.468   932  2606  0.358  1892   \n",
       "New York Knicks         17430  2839  6225  0.456   847  2163  0.392  1992   \n",
       "Detroit Pistons         17430  2783  6162  0.452   832  2370  0.351  1951   \n",
       "Oklahoma City Thunder   17355  2795  6338  0.441   857  2529  0.339  1938   \n",
       "Orlando Magic           17330  2754  6423  0.429   784  2288  0.343  1970   \n",
       "Cleveland Cavaliers     17430  2778  6175  0.450   720  2141  0.336  2058   \n",
       "\n",
       "                         2PA    2P%  ...  Opp_ORB  Opp_DRB  Opp_TRB  Opp_AST  \\\n",
       "Team                                 ...                                       \n",
       "Milwaukee Bucks         3941  0.554  ...      693     2435     3128     1804   \n",
       "Brooklyn Nets           3689  0.565  ...      753     2348     3101     1729   \n",
       "Washington Wizards      4459  0.533  ...      738     2580     3318     1762   \n",
       "Utah Jazz               3246  0.544  ...      706     2362     3068     1604   \n",
       "Portland Trail Blazers  3619  0.509  ...      710     2558     3268     1794   \n",
       "Indiana Pacers          4122  0.540  ...      813     2555     3368     1877   \n",
       "Phoenix Suns            3867  0.563  ...      674     2401     3075     1652   \n",
       "Denver Nuggets          3960  0.552  ...      652     2314     2966     1864   \n",
       "New Orleans Pelicans    4222  0.544  ...      644     2366     3010     1866   \n",
       "Los Angeles Clippers    3744  0.529  ...      659     2307     2966     1650   \n",
       "Sacramento Kings        3982  0.551  ...      767     2489     3256     1823   \n",
       "Golden State Warriors   3558  0.541  ...      769     2635     3404     1711   \n",
       "Atlanta Hawks           3879  0.526  ...      719     2352     3071     1754   \n",
       "Philadelphia 76ers      4088  0.531  ...      702     2388     3090     1694   \n",
       "Memphis Grizzlies       4350  0.525  ...      704     2515     3219     1827   \n",
       "Boston Celtics          3783  0.530  ...      677     2382     3059     1732   \n",
       "Dallas Mavericks        3543  0.554  ...      704     2460     3164     1631   \n",
       "Minnesota Timberwolves  3840  0.518  ...      718     2579     3297     1932   \n",
       "Toronto Raptors         3552  0.512  ...      720     2582     3302     1872   \n",
       "San Antonio Spurs       4472  0.514  ...      732     2681     3413     1784   \n",
       "Chicago Bulls           3934  0.542  ...      624     2410     3034     1737   \n",
       "Los Angeles Lakers      3949  0.539  ...      634     2392     3026     1776   \n",
       "Charlotte Hornets       3658  0.517  ...      766     2487     3253     1951   \n",
       "Houston Rockets         3449  0.532  ...      713     2713     3426     1855   \n",
       "Miami Heat              3423  0.553  ...      684     2404     3088     1857   \n",
       "New York Knicks         4062  0.490  ...      695     2478     3173     1696   \n",
       "Detroit Pistons         3792  0.515  ...      717     2475     3192     1785   \n",
       "Oklahoma City Thunder   3809  0.509  ...      729     2663     3392     1856   \n",
       "Orlando Magic           4135  0.476  ...      704     2706     3410     1874   \n",
       "Cleveland Cavaliers     4034  0.510  ...      712     2437     3149     1828   \n",
       "\n",
       "                        Opp_STL  Opp_BLK  Opp_TOV  Opp_PF  Opp_PTS   W  \n",
       "Team                                                                    \n",
       "Milwaukee Bucks             507      348      947    1320     8225  46  \n",
       "Brooklyn Nets               550      330      908    1361     8213  48  \n",
       "Washington Wizards          587      348     1056    1586     8530  34  \n",
       "Utah Jazz                   554      282      827    1365     7716  52  \n",
       "Portland Trail Blazers      440      333      892    1374     8231  42  \n",
       "Indiana Pacers              535      381     1066    1306     8305  34  \n",
       "Phoenix Suns                498      258      981    1294     7881  51  \n",
       "Denver Nuggets              540      325     1014    1379     7929  47  \n",
       "New Orleans Pelicans        555      426      961    1534     8272  31  \n",
       "Los Angeles Clippers        510      304      925    1303     7764  47  \n",
       "Sacramento Kings            545      336      988    1348     8454  31  \n",
       "Golden State Warriors       567      312     1083    1406     8111  39  \n",
       "Atlanta Hawks               557      363      886    1422     8019  41  \n",
       "Philadelphia 76ers          521      335     1122    1509     7780  49  \n",
       "Memphis Grizzlies           552      377     1068    1318     8083  38  \n",
       "Boston Celtics              531      334     1015    1389     8004  36  \n",
       "Dallas Mavericks            527      264      908    1446     7933  42  \n",
       "Minnesota Timberwolves      550      398     1102    1432     8473  23  \n",
       "Toronto Raptors             477      402     1161    1405     8045  27  \n",
       "San Antonio Spurs           454      369      949    1338     8123  33  \n",
       "Chicago Bulls               614      364      917    1277     8033  31  \n",
       "Los Angeles Lakers          593      327     1095    1530     7686  42  \n",
       "Charlotte Hornets           582      347     1062    1340     8020  33  \n",
       "Houston Rockets             611      378     1055    1388     8402  17  \n",
       "Miami Heat                  541      287     1085    1414     7779  40  \n",
       "New York Knicks             472      391      918    1286     7540  41  \n",
       "Detroit Pistons             578      419     1004    1469     7998  20  \n",
       "Oklahoma City Thunder       647      378      942    1336     8326  22  \n",
       "Orlando Magic               548      384      917    1343     8158  21  \n",
       "Cleveland Cavaliers         613      425     1033    1451     8084  22  \n",
       "\n",
       "[30 rows x 45 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabela"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab67ed43",
   "metadata": {},
   "source": [
    "Koeficijent korelacije se uvek računa za dva uparena niza brojeva. To ovde konkretno znači da svakom timu pridružujemo dve vrednosti, npr. broj odigranih minuta (MP) i broj pobeda (W). Onda treba da vidimo postoji li zavisnost između tih podataka.\n",
    "\n",
    "Kreatori Pajtona su pri pisanju funkcija tabele pretpostavili nizovima, tako da moramo dva niza da pretvorimo u pomoćnu tabelu kako bismo pozvali funkciju koja računa koeficijent korelacije."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ad1952ec",
   "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>FG</th>\n",
       "      <th>W</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Team</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Milwaukee Bucks</th>\n",
       "      <td>3221</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn Nets</th>\n",
       "      <td>3106</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington Wizards</th>\n",
       "      <td>3108</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah Jazz</th>\n",
       "      <td>2971</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland Trail Blazers</th>\n",
       "      <td>2973</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana Pacers</th>\n",
       "      <td>3115</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Phoenix Suns</th>\n",
       "      <td>3118</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denver Nuggets</th>\n",
       "      <td>3114</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Orleans Pelicans</th>\n",
       "      <td>3060</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles Clippers</th>\n",
       "      <td>3009</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sacramento Kings</th>\n",
       "      <td>3067</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Golden State Warriors</th>\n",
       "      <td>2973</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Atlanta Hawks</th>\n",
       "      <td>2937</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Philadelphia 76ers</th>\n",
       "      <td>2981</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Memphis Grizzlies</th>\n",
       "      <td>3085</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston Celtics</th>\n",
       "      <td>2985</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas Mavericks</th>\n",
       "      <td>2958</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota Timberwolves</th>\n",
       "      <td>2932</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Raptors</th>\n",
       "      <td>2859</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Antonio Spurs</th>\n",
       "      <td>3014</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chicago Bulls</th>\n",
       "      <td>3035</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles Lakers</th>\n",
       "      <td>2925</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Charlotte Hornets</th>\n",
       "      <td>2875</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Houston Rockets</th>\n",
       "      <td>2826</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami Heat</th>\n",
       "      <td>2824</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Knicks</th>\n",
       "      <td>2839</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Detroit Pistons</th>\n",
       "      <td>2783</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma City Thunder</th>\n",
       "      <td>2795</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orlando Magic</th>\n",
       "      <td>2754</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleveland Cavaliers</th>\n",
       "      <td>2778</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          FG   W\n",
       "Team                            \n",
       "Milwaukee Bucks         3221  46\n",
       "Brooklyn Nets           3106  48\n",
       "Washington Wizards      3108  34\n",
       "Utah Jazz               2971  52\n",
       "Portland Trail Blazers  2973  42\n",
       "Indiana Pacers          3115  34\n",
       "Phoenix Suns            3118  51\n",
       "Denver Nuggets          3114  47\n",
       "New Orleans Pelicans    3060  31\n",
       "Los Angeles Clippers    3009  47\n",
       "Sacramento Kings        3067  31\n",
       "Golden State Warriors   2973  39\n",
       "Atlanta Hawks           2937  41\n",
       "Philadelphia 76ers      2981  49\n",
       "Memphis Grizzlies       3085  38\n",
       "Boston Celtics          2985  36\n",
       "Dallas Mavericks        2958  42\n",
       "Minnesota Timberwolves  2932  23\n",
       "Toronto Raptors         2859  27\n",
       "San Antonio Spurs       3014  33\n",
       "Chicago Bulls           3035  31\n",
       "Los Angeles Lakers      2925  42\n",
       "Charlotte Hornets       2875  33\n",
       "Houston Rockets         2826  17\n",
       "Miami Heat              2824  40\n",
       "New York Knicks         2839  41\n",
       "Detroit Pistons         2783  20\n",
       "Oklahoma City Thunder   2795  22\n",
       "Orlando Magic           2754  21\n",
       "Cleveland Cavaliers     2778  22"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabela[['FG','W']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb046ce8",
   "metadata": {},
   "source": [
    "Ovo bismo mogli da predstavimo grafički kako bismo \"videli\" zavisnost pre nego što je svedemo samo na jedan broj, koeficijent korelacije. Za razumevanje korelacije poželjno je da uvek pogledamo grafikon jer nam on mnogo više govori od koeficijenta. Kod automatske obrade, naravno, više se oslanjamo na koeficijente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2cfb1ef9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1d4ea5d2e50>"
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     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
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     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(tabela['FG'],tabela['W'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9aa0972a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5881760820356188"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabela['FG'].corr(tabela['W'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f11b15d8",
   "metadata": {},
   "source": [
    "Očekivano, postoji značajna korelacija između broja koševa postignutih iz igre i broja pobeda. Ko više koševa daje, češće pobeđuje. Ipak, ta veza nije sasvim pouzdana. Ne možemo reći da je veći broj koševa garancija pobede. Vidimo da ima timova koji imaju 3100 pogodaka i svega 30-35 pobeda, dok neki drugi sa 3000 pogodaka ostvaruju 50 pobeda. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a25e9f1d",
   "metadata": {},
   "source": [
    "Na sličan način kao za broj koševa, možemo da izračunamo koeeficijent korelacije sa brojem pobeda i za sve ostale promenljive. Te rezultate ćemo staviti u niz __kk__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5d65756c",
   "metadata": {},
   "outputs": [],
   "source": [
    "kk=[tabela[i].corr(tabela['W']) for i in tabela.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13bfe886",
   "metadata": {},
   "outputs": [],
   "source": [
    "kk"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4ab3b25",
   "metadata": {},
   "source": [
    "Biće nam lakše da prikažemo rezultate ako ih umesto u listu stavimo u _DataFrame_ gde će nazivi promenljivih biti imena redova."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1a2d77d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "kk = pd.DataFrame (kk, columns = ['Koeficijent korelacije'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3921c2a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "kk.index=tabela.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c08dd589",
   "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>Koeficijent korelacije</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MP</th>\n",
       "      <td>0.134535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FG</th>\n",
       "      <td>0.588176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FGA</th>\n",
       "      <td>-0.051646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FG%</th>\n",
       "      <td>0.746993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3P</th>\n",
       "      <td>0.396493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3PA</th>\n",
       "      <td>0.114913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3P%</th>\n",
       "      <td>0.786860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2P</th>\n",
       "      <td>0.147163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2PA</th>\n",
       "      <td>-0.129206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2P%</th>\n",
       "      <td>0.545897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FT</th>\n",
       "      <td>0.079620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FTA</th>\n",
       "      <td>-0.166653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FT%</th>\n",
       "      <td>0.568362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ORB</th>\n",
       "      <td>-0.110889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DRB</th>\n",
       "      <td>0.479320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRB</th>\n",
       "      <td>0.323310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AST</th>\n",
       "      <td>0.198379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STL</th>\n",
       "      <td>-0.086695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BLK</th>\n",
       "      <td>0.013432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOV</th>\n",
       "      <td>-0.359267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PF</th>\n",
       "      <td>-0.038065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PTS</th>\n",
       "      <td>0.672848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_MP</th>\n",
       "      <td>0.134535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_FG</th>\n",
       "      <td>-0.486148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_FGA</th>\n",
       "      <td>-0.061901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_FG%</th>\n",
       "      <td>-0.671593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_3P</th>\n",
       "      <td>-0.261625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_3PA</th>\n",
       "      <td>-0.050235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_3P%</th>\n",
       "      <td>-0.556858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_2P</th>\n",
       "      <td>-0.258007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_2PA</th>\n",
       "      <td>-0.005600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_2P%</th>\n",
       "      <td>-0.570294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_FT</th>\n",
       "      <td>-0.137834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_FTA</th>\n",
       "      <td>-0.118679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_FT%</th>\n",
       "      <td>-0.138368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_ORB</th>\n",
       "      <td>-0.213561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_DRB</th>\n",
       "      <td>-0.654089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_TRB</th>\n",
       "      <td>-0.601317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_AST</th>\n",
       "      <td>-0.637009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_STL</th>\n",
       "      <td>-0.450113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_BLK</th>\n",
       "      <td>-0.741117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_TOV</th>\n",
       "      <td>-0.269790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_PF</th>\n",
       "      <td>-0.124653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_PTS</th>\n",
       "      <td>-0.547315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Koeficijent korelacije\n",
       "MP                     0.134535\n",
       "FG                     0.588176\n",
       "FGA                   -0.051646\n",
       "FG%                    0.746993\n",
       "3P                     0.396493\n",
       "3PA                    0.114913\n",
       "3P%                    0.786860\n",
       "2P                     0.147163\n",
       "2PA                   -0.129206\n",
       "2P%                    0.545897\n",
       "FT                     0.079620\n",
       "FTA                   -0.166653\n",
       "FT%                    0.568362\n",
       "ORB                   -0.110889\n",
       "DRB                    0.479320\n",
       "TRB                    0.323310\n",
       "AST                    0.198379\n",
       "STL                   -0.086695\n",
       "BLK                    0.013432\n",
       "TOV                   -0.359267\n",
       "PF                    -0.038065\n",
       "PTS                    0.672848\n",
       "Opp_MP                 0.134535\n",
       "Opp_FG                -0.486148\n",
       "Opp_FGA               -0.061901\n",
       "Opp_FG%               -0.671593\n",
       "Opp_3P                -0.261625\n",
       "Opp_3PA               -0.050235\n",
       "Opp_3P%               -0.556858\n",
       "Opp_2P                -0.258007\n",
       "Opp_2PA               -0.005600\n",
       "Opp_2P%               -0.570294\n",
       "Opp_FT                -0.137834\n",
       "Opp_FTA               -0.118679\n",
       "Opp_FT%               -0.138368\n",
       "Opp_ORB               -0.213561\n",
       "Opp_DRB               -0.654089\n",
       "Opp_TRB               -0.601317\n",
       "Opp_AST               -0.637009\n",
       "Opp_STL               -0.450113\n",
       "Opp_BLK               -0.741117\n",
       "Opp_TOV               -0.269790\n",
       "Opp_PF                -0.124653\n",
       "Opp_PTS               -0.547315\n",
       "W                      1.000000"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kk"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4874fe5e",
   "metadata": {},
   "source": [
    "Da bi rezultati bili pregledniji, sortiraćemo ih u opadajućem redosledu i prikazati grafički."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4f389f4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "kk=kk.sort_values('Koeficijent korelacije', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bc141497",
   "metadata": {},
   "outputs": [],
   "source": [
    "kk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "cbb9cb03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Koeficijent korelacije'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZkvXACJ3c/gD40dgNqureJL8DvC/J02imVoGic0frrcDn5zJpSZKkbuiZQq6q1gOP2U7zceO2vQK4oll19E2SJC1IPTu1KkmSpB2zkJMkSWqpnplalaTpGBkeYtmqT3U7DbXAyPAQfYu8CkfzkyNyklrJX8yaKj8rms8s5CRJklrKQk5SK40MD3U7Bc0Q/19KO89r5CS1Ut+ixXzqA6d0Ow3NgOWvuKHbKUit5YicJElSS1nISZIktZSFnCRJUku16hq5JH3AXwCH03ke68uANwFHAvfRed7qIuCVVXVHt/KUJEmaC60q5IDTAKrq+CRLgXcA3wPeUFU3AiQ5BXgz8Nwu5ShJkjQnWjW1WlWfBFY3q08A7p1gs/2AreODSVYn2ZRk0+Dg4OwlKUmSNEdaVcgBVNVwksuAPwOubsIXJlmf5HPAycB5E+y3tqoGqmqgv79/DjOWJEmaHW2bWgWgqs5Och6wEbiVMVOrkiRJC0WrRuSSvDTJG5vVB4BtdG56kCRJWnBaVcgBnwCemuRm4G+A3wIe7GpGkiRJXdKqqdWq+iHwwnHh67qRiyRJUre1bUROkiRJDQs5SZKklmrV1KokjRoZHmL5K27odhqaASPDQ/QtWtztNKRWckROUiv5i3/+8P+ltPMs5CRJklrKQk5SK40MD3U7hQXJ913qLV4jJ6mV+hYt5uoPndztNBac57/Mh+hIvcQROUmSpJaykJMkSWopCzlJkqSW6qlr5JK8HTgKeCywF/ANYBB4FnBbs9kewFbgBVX1vSRDwAYgwD7AW6rq2rnOXZIkaa71VCFXVb8NkGQl8KSq+t0kS4CDqmrp6HZJ/hh4BXARcN9oW5JHAV9P8smqqrnNXpIkaW61bmo1SYCDgO9N0PxI4B6LOEmStBD01IjcDjw5yXpgP2BP4ArgsqZtv6ZtN+DngLdN1EGS1cBqgIMPPniW05UkSZp9bRmRu7OZPj0W+Ffg3qoabtruq6qlVXUC8ATgxUl+aXwHVbW2qgaqaqC/v3/OEpckSZotbRmRA6Cq/ivJrwH/mGRDVW0et8n9wPcBH9wnSZLmvVYVcgBVdW+S3wHel+Rp/PfUatG5o/VW4PNdTFGSJGlO9GQhV1WXjlm+GzhuXPsVdK6TA0ffJEnSAtWWa+QkSZI0joWcJElSS/Xk1KokTWZkeIjnv+zGbqex4IwMD9G3yCtapF7hiJykVrKY6A7fd6m3WMhJkiS1lIWcpFYaGR7qdgqzbiGco6Rd4zVyklqpb9FiPnzps7qdxqx66cq/6XYKknqcI3KSJEktZSEnSZLUUhZykiRJLdWzhVyS85J8K8kezXp/kmuS/E2SzyT5iyR7JnlpkvVJvpjkB83y+iSP6/Y5SJIkzaaeLeSAXwM+BpzRrL8e+GxVPauqTgJ+CLyyqj5cVUub7e6sqqXN656uZC1JkjRHevKu1SRLgS3Ae4GPAJcC/wo8P8m/ALcAvwNUdzKUJEnqvl4dkVsFvL+qvgb8KMmxwHuAj9IZmft34Frgp6faYZLVSTYl2TQ4ODgbOUuSJM2pnivkkjwaeDbwuiQ3Ao8CXgM8A7i8qp4FPBa4FVgz1X6ram1VDVTVQH9//8wnLkmSNMd6cWr1JcAHqur1AEn2Au4CDgAOBf6iqn6U5A7giO6lKUmS1F29WMitAl46ulJVDyS5Bvg3YHmSVwH/BQwC53QnRUmSpO7ruUKuqp4yQexVU9jvbuC42chJkiSpF/XcNXKSJEmaGgs5SZKkluq5qVVJmoqR4SFeuvJvup3GrBoZHqJv0eJupyGphzkiJ6mVFkKBsxDOUdKusZCTJElqKQs5SZKklrKQk9RKwyND3U5hStqSp6R28mYHSa20qG8xf3H5s7qdxqR+/az5fUOGpO5yRE6SJKmlLOQkSZJaqjVTq0l2Bz4ILAEeAbwFeC5wJHAfUHTO55VVdUeX0pQkSZozrSnkgJcA/1FVL02yP/APwDrgDVV1I0CSU4A30ynwJEmS5rU2FXJXAVePWR+eYJv9gK1zk44kSVJ3teYauaraWlX3J9mXTkH3e03ThUnWJ/kccDJw3kT7J1mdZFOSTYODg3OUtSRJ0uxpTSEHkOQg4PPAh6vqo034DVW1tKqeWVUvrapvTbRvVa2tqoGqGujv75+znCVJkmZLa6ZWkxwIfAZ4TVV9rtv5SJIkdVubRuT+D/Bo4E3NVOp6YM/upiRJktQ9rRmRq6rXAa/rdh6SJEm9ok0jcpIkSRrDQk6SJKmlWjO1KkljDY8MteKB9MMjQyzqW9ztNCTNU47ISWqlthRHbclTUjtZyEmSJLWUhZwkSVJLWchJaqXhkaFup7BdvZybpPnFmx0ktdKivsW884pndTuNCf3mr/X+TRiS5gdH5CRJklrKQk6SJKmlen5qNclS4PPAGVX1l2PitwO3AUuBbwIjdArT/wDOrqr75zpXSZKkudSWEbmvAmeOriT5OWDvMe0nVdUzquqXgf8PeNkc5ydJkjTn2lLIbQYOTvJTzfpLgCvGb5RkN+CngK1zlpkkSVKXtKWQA/gE8JwkAY4BNoxp+0ySzwN/C3wPuHz8zklWJ9mUZNPg4OCcJCxJkjSbev4auTE+CrwH+AbwhXFtJ1XVgzvauarWAmsBBgYGalYylCRJmkOtGZGrqm/QuS7uN4GPdDkdSZKkrmtNIdf4S+Cgqvp6txORJEnqtp6fWq2q9cD6ZvnPgD9rlm8EbuxaYpIkSV3WthE5SZIkNSzkJEmSWqrnp1YlaSLDI0M9+3D64ZEhFvUt7nYakhYAR+QktVIvF0q9nJuk+cVCTpIkqaUs5CRJklrKQk5SKw2PDHU7he3q5dwkzS/e7CCplRb1LeaPP/asbqcxoTee0Zs3YUiafxyRkyRJaikLOUmSpJba5UIuySFJrkmyPsktSd6dZN+ZSC7J3UluGBc7N0k1yxck+Xpz7M8n2ZBk6UwcW5Ikqdft0jVySfYErgdWVdXGJnY2cCVw6q6nB8DjkxxQVd9t1p8NfG9M+zuq6r3NsY8ArgCOnKFjS5Ik9axdHZFbDtw0WsQBVNVlwAFJLk9yWZJ1SW5N8qQkS5J8Kcn1SW5L8tYpHOMq4AUASZ4EbAG2d0vYfsDWXTslSZKkdtjVQu5QOoXVeHcBJwBbqmoZcAFwYdO2BFgJHA0sSzLZ6NmVwAub5ZfQGXEb69xmavVzwLnAr0/USZLVSTYl2TQ4ODjJISVJknrfrhZy99ApzMY7DLgZWNesbwAOb5Y3V9V9VTUCbBwT357/ByTJQcDxwBfGtb+jqpZW1TOr6nlV9bWJOqmqtVU1UFUD/f39k56YJElSr9vVQu464MQkx4wGkqwCBoFtwFFN+Hjgjmb5iCR7JekDjgXunMJxPga8Hfj7qqpdzFmSJGle2KWbHapqa5LTgIuT7N/0dztwJrAGOCXJ6UAfnelU6FzfdhVwIHB1VW2ewqGuAt4J/MKu5CtJkjSf7PKTHapqC7BifDwJwJqqunFMbAlwb1Utn2LfS5rFB4HFY+KPbf57wU6mLUmS1Hpdf0RXkhV0blIY75Kqunau85EkSWqLWSvkqmrlBLG7gePGxa6n8110kiRJmoauj8hJ0s4YHhnq2YfTD48Msahv8eQbStIu8lmrklqplwulXs5N0vxiISdJktRSFnKSJEktZSEnqZUeGtneI5cXVg6SFjZvdpDUSrv3LeZ3rzq5qzn8yQtunHwjSZpFjshJkiS1lIWcJElSS/VkIZekL8kHk9yS5OYk/zPJpUluT7I+yeeTfCHJ/2q23yPJt5O8vtu5S5IkzZWeLOSA0wCq6njg94F3NPE3VNXSqnoG8H+BNzfx5wEfA1Ym6dVzkiRJmlE9WfRU1SeB1c3qE4B7J9hsP2Brs7wK+BCwGXj2bOcnSZLUC3qykAOoquEklwF/BlzdhC9splY/B5wMnJfkMGDvqtoMfBB49UT9JVmdZFOSTYODg3NxCpIkSbOqp79+pKrOTnIesBG4lc7U6sPu90/yp8DeSW4EAjwtyROr6l/G9bUWWAswMDBQc3ICkiRJs6gnR+SSvDTJG5vVB4BtwMgE2y0CzgCeXlUnV9WzgD8BXjVnyUqSJHVJTxZywCeApya5Gfgb4LeAByfYbgXw5aq6b0zsQ8BLk+w161lKkiR1UU9OrVbVD4EXjgtfN8F2n6BT9I2N/TvQP3vZSZIk9YZeHZGTJEnSJCzkJEmSWqonp1YlaTIPjQx1/aH1D40MsXvf4q7mIGlhc0ROUiv1QgHVCzlIWtgs5CRJklrKQk6SJKmlLOQktdJDI0Ot7FuSZpI3O0hqpd37FvOya0+elb4/9Jzu3kQhSVPliJwkSVJLWchJkiS1lIWcJElSS7XqGrkkS4DbgdvGhD8PPAP4KeCngTub+DOramQu85MkSZpLrSrkGndW1dJxsT9MshR4ZVWdMecZSZIkdcGCmVpNsjrJpiSbBgcHu52OJEnSLmtjIffkJOvHvB43lZ2qam1VDVTVQH9//2znKEmSNOvmy9SqJEnSgtPGETlJkiRhISdJktRarZparaq7geO207YeWD+H6UiSJHWVI3KSJEktZSEnSZLUUq2aWpWkUQ+NDPGh59w4a33v3rd4VvqWpJnkiJykVprNQssiTlJbWMhJkiS1lIWcpFYaGhna4bokLQReIyeplRb3LeaU61764/UbTv9wF7ORpO5wRE6SJKmlLOQkSZJaykJOkiSppXqukEuyNMl3kqxPclOSDUmelOTSJCeP23ZJki+OWf+lJP9fkp+f+8wlSZLmVq/e7LCuqs4ASHIScBHw3R3tkGQp8G5geVV9fbYTlCRJ6raeG5GbwKOBu3e0QZJfoVPEnby9Ii7J6iSbkmwaHByc+SwlSZLmWK8WcsuaqdW/Bz4IXL2Dbf8n8FZgD2DP7W1UVWuraqCqBvr7+2c2W0mSpC5ow9Tq4cDfA5/dzrb/BZwCPA34eJLjquq/5iZNSZKk7unVEbmx7p2k/d+r6r6q+mvgC8Cfz0FOkiRJXderhdzo1OrngM8A59IZeXvn6HVuSa6YYL/fAY5JcvZcJitJktQNPTe1WlXrgcdM0HTpdnY5bsy+DwI/N/NZSZIk9Z5eHZGTJEnSJCzkJEmSWqrnplYlaSqGRoa44fQPP2x9cd/iLmYkSXPPETlJrTS+aLOIk7QQWchJkiS1lIWcpFYZGnnoYf+VpIXMQk5Sqyzu251nf/L1LO7bvdupSFLXWchJkiS1lIWcJElSS1nISZIktdROFXJJDklyTfM81FuSvDvJvjORUJIzk2xMsiHJe5PslmRpku80x/t8ki8mee2Yfd6T5B9m4viSJEltMe1CLsmewPXAhVW1tKqOBzYCV+5qMk3fbwGeUVVPAx4FnNo0r2uO9wzgl4HfTvJTSfYCjgf+OcnSXc1BkiSpLXZmRG45cFNVbRwNVNVlwAFJLk9yWZJ1SW5N8qQkS5J8Kcn1SW5L8tYd9P0j4GlV9UCzvgh4cILt9gVGgGHghcDngEuB12yv4ySrk2xKsmlwcHA65ytJktSTdqaQOxTYMkH8LuAEYEtVLQMuAC5s2pYAK4GjgWVJjpyo46raVlX3AjRTp/sAn22alzVTq+uAK4DXVtVWYBXwfuBvgacmedx2+l5bVQNVNdDf3z+9M5YkSepBO/Os1XuAYyaIHwbcDKxr1jcAFzfLm6vqPoAkG4HDgdsm6jzJbnQKwJ8BnldVlQQ6U6tnjNv2COBngbc3oQJeCbxpJ85LkiSpVXZmRO464MQkPy7mkqwCBoFtwFFN+Hjgjmb5iCR7JekDjgXu3EH/7wP2AH51zBTr9qwCzq+qk6vqZGAZ8PIkPnRRkiTNe9MekauqrUlOAy5Osn/Tx+3AmcAa4JQkpwN9dKZTAYaAq4ADgauravNEfTdTrq8AvgCsa0biLgG+N8G2i4EzgKeMye2bSTYDzwc+Ot1zkyRJapOdmVqlqrYAK8bHm8JrTVXdOCa2BLi3qpZPod/b2P4o4fpx2w4BP3E9XFU9e7LjSJIkzQc7VcjtqiQrgHMnaLqkqq6d63wkSZLaaEYLuapaOUHsbuC4cbHr6XwXnSRJknaSj+iS1CpDIw/x6V99G0MjD3U7FUnqOgs5Sa2yuG/3h/1XkhYyCzlJkqSWspCT1DOGRoZnZVtJmq+6cteqJE1kcd8inn3tW6a07aef83uznI0k9T5H5CRJklrKQk6SJKmlLOQkSZJaqjXXyCVZCnwcuBMoYE/gCmB/4MXAv4/Z/A1VdescpyhJkjSnWlPINdZV1RkASR4BfA34JPCOqnpvNxOTJEmaa22eWt0XGAH8DgJJkrQgtW1EblmS9cA24CHgtcAxwLlJzmi2+aeqeu34HZOsBlYDHHzwwXOTrSRJ0ixqWyH346nVUUmOYQpTq1W1FlgLMDAwULOXoiRJ0txo89SqJEnSgmYhJ0mS1FKtmVqtqvXA+gniF8x1LpIkSb3AETlJkqSWspCTJElqqdZMrUqa/4ZGhvn0c35vytsu7vNHmKSFzRE5ST1jOoWZRZwkWchJkiS1loWcpK4ZGtn5J+ztyr6SNF84NyGpaxb3LWL5J96xU/t+6rnnznA2ktQ+jshJkiS1lIWcJElSS1nISZIktdROFXJJDklyTZL1SW5J8u4k+85EQkmel+RLSW5NsqqJLU3yneZ4n0/yxSSvHbPPe5L8w0wcX5IkqS2mfbNDkj2B64FVVbWxiZ0NXAmcuivJJOkD/gQYALYCdyb5ZNO8rqrOaLZ7BPC1JB8GhoDjga8kWdo8k1WSJGne25m7VpcDN40WcQBVdVmSc5JcDhRwELAPcBbwIHAV8C3g8cANVXX+RB1X1UiSI6pqOMljgNAp6MbbFxgBhoEXAp8DbgBeA6zfiXOSJElqnZ2ZWj0U2DJB/C7gBGBLVS0DLgAubNqWACuBo4FlSY7cXudNEfdcYDNwM/BQ07SsmVpdB1wBvLaqtgKrgPcDfws8NcnjJuo3yeokm5JsGhwcnMbpSpIk9aadKeTuoVOYjXcYncJrXbO+ATi8Wd5cVfdV1QiwcUx8QlX1CeBxwGI6o3rQmVpdWlXLqupZVfXpJEcAPwu8Hfg0ndHAV26nz7VVNVBVA/39/VM8VUmSpN61M4XcdcCJSY4ZDTQ3JQwC24CjmvDxwB3N8hFJ9mqugTsWuHOijpM8MslNSR5RVduAHzZ9bs8q4PyqOrmqTgaWAS9PsngnzkuSJKlVpn2NXFVtTXIacHGS/Zs+bgfOBNYApyQ5HeijM50KnRsSrgIOBK6uqs3b6fsHSa4Abk7yUNPvR4Cnj9+2KdbOAJ4yZv9vJtkMPB/46HTPTZIkqU126hFdVbUFWDE+ngRgTVXdOCa2BLi3qpZPse+1wNpx4fWMu4mhqoboTL+O3//ZUzmOJElS23XlWatJVgATPSjxkqq6dq7zkSRJaqMZLeSqauUEsbuB48bFrqfzXXSSJEnaSV0ZkZMkgKGRYT713IkG56e27+I+f4RJWth81qqkrtmVQswiTpIs5CRJklrLQk6SJKmlLOQkdc3QyHBX9pWk+cKLTCR1zeK+RSz/xLt3at9PPfdVM5yNJLWPI3KSJEktZSEnSZLUUj01tdo8zut24LYx4XXAe4C3AUcADwDDwB9V1RfG7Pse4LiqeuqcJSxJktRFPVXINe6sqqVjA0k2AG8bfXJEkkOBa5IcU1UPJdkLOB74SpKlVbV+jnOWJEmacz0/tZrkWOC7Y5/BWlXfAI6sqoea0AuBzwGXAq+Z8yQlSZK6oBcLuScnWT/6Ap4I/MtoY5L3NfGvJBl9husq4P3A3wJPTfK48Z0mWZ1kU5JNg4ODs34SkiRJs60XC7k7q2rp6Au4GzhktLGqfqOJ/xOwR5IjgJ8F3g58GijgleM7raq1VTVQVQP9/f2zfxaSJEmzrBcLufE2AI9NsmI0kOSxwJPoFG2rgPOr6uSqOhlYBrw8yeKuZCtJkjRHer6Qq6oCTgNOS/KFJF8APglcBHwROAP4yzHbfxPYDDx/7rOVJEmaOz1112pV3Q0cN0H8u8Cvb2e3n7gerqqePbOZSZIk9Z6eH5GTJEnSxCzkJEmSWqqnplYlLSxDI8N86rmv2ul9F/f5I0zSwuaInKSu2ZVCzCJOkizkJEmSWstCTpIkqaUs5CTNqaGR4Z7qR5LazItMJM2pxX2LWH7N+3e5n089b9UMZCNJ7eaInCRJUktZyEmSJLXUtKZWkxxC5xmn+wO703mm6XlVdf+uJpJkPbAX8MCY8ElVNZTkNcCvAQ818c9W1ZvH7Hss8AXg+Kr60q7mIkmS1AZTLuSS7AlcD6yqqo1N7GzgSuDUGcrnrKr66rjjngM8DXhGVT2YZHfgiiQnVdVnms1WAW8HXg2snKFcJEmSetp0RuSWAzeNFnEAVXVZknOSXA4UcBCwD3AW8CBwFfAt4PHADVV1/k7k+GpgaVU92BzzoSQvqqoCSLIPsAz4X8A/JTmgqr67E8eRJElqlelcI3cosGWC+F3ACcCWqloGXABc2LQtoTNCdjSwLMmRkxzj8iTrm9crmth+o4VZkuc0U7BfTHJR034G8Imm0PtL4BU/0Wtn39VJNiXZNDg4OOnJSpIk9brpFHL30CnMxjsMuBlY16xvAA5vljdX1X1VNQJsHBPfnrOqamnz+kATuz/JfgBVdW1VLQX+ADigaV8F/GKSG+kUlL+R5CfOq6rWVtVAVQ309/dP4XQlSZJ623QKueuAE5McMxpIsgoYBLYBRzXh44E7muUjkuyVpA84FrhzJ3J8F7AmySOaY/YBTwcqyc8BfVX1S1V1clWdQGfUcKau2ZMkSepZU75Grqq2JjkNuDjJ/s2+twNnAmuAU5KcDvTx3zccDNG5Tu5A4Oqq2jzdBKvqnUleCXw2yQjwKGA98Hrg94EPj9vlL4DX0LkxQ5Ikad6a1tePVNUWYMX4eBKANVV145jYEuDeqlo+xb6X7qDtvcB7J2j6zQm2/Tjw8akcU5Ikqc3m9BFdSVYA507QdElVXTuXuUiSJLXdjBRyVbVygtjdwHHjYtfjlKckSdKMmNMROUkaGhmekQfeD40Ms7jPH2GSFjaftSppTs1U8WURJ0kWcpIkSa1lISdJktRSFnKSZtTQyMi8Oo4k9TIvMpE0oxb39XHq1ZfP+nH++vlnzfoxJKnXOSInSZLUUhZykiRJLdWzU6tJfhf4FWAbUHSeq/qnTfMvAF8HHqDzrNWDgG83j/KSJElaEHqykEvyZDrPdD2+qirJLwCXVdVTmvb1wCur6qvN+gVdSlWSJKlrenVq9TvAwcDLkzyuqv4ROKa7KUmSJPWWnizkquq7NCNywN8n+Spw6q70mWR1kk1JNg0ODs5EmpIkSV3Vk4VckicCP6iql1fVwcBLgPck2W9n+6yqtVU1UFUD/f39M5arJElSt/RkIQf8PJ3CbY9m/evAfwJ+A6gkSVKjJ292qKpPJDkC2JhkK52C8/VV9Z872O2NSVY1y/dX1TNmPVFJkqQu6slCDqCq3gq8dTttS8etXwBcMOtJSZIk9ZBenVqVJEnSJCzkJEmSWqpnp1YltdPQyMicPNB+aGSExX19s34cSepljshJmlFzVVxZxEmShZwkSVJrWchJkiS1lIWcpGkbGun+d3P3Qg6S1G3e7CBp2hb39XHq1R/rag5//fwzunp8SeoFjshJkiS1lIWcJElSS1nISZIktVTPXCOX5BDgImB/YHdgM3Ae8NvAi4F/bzbdH/hYVb01yUrgj4BvAH3Aj4CXVtW35jZ7SZKkudcTI3JJ9gSuBy6sqqVVdTywEbiy2eQdTXwpMAC8PMljmraPNm1PBz4OnD/H6UuSJHVFTxRywHLgpqraOBqoqsuAA4BDx207OmL3XxP082jg7okOkGR1kk1JNg0ODs5I0pIkSd3UK1OrhwJbJojfBRwMHJfkTOAg4B5gVVXdnwTgxUmOA/YBDgFOmOgAVbUWWAswMDBQM34GkiRJc6xXRuTuAZZMED8M+CadqdVfBl4APBb4+phtRqdWB4AXAtfNcq6SJEk9oVcKueuAE5McMxpIsgoYpHMjAwBV9WXgT4CPJZko928Ci2c5V0mSpJ7QE1OrVbU1yWnAxUn2p5PX7cCZwG+N2/YDSV4EnAP8kP+eWh0G9gVeOZe5S5IkdUtPFHIAVbUFWDFB0wUTbHvSmNVLZyklSZKkntYrU6uSJEmapp4ZkZPUHkMjI11/aP3QyAiL+/q6moMkdZsjcpKmrRcKqF7IQZK6zUJOkiSppSzkJEmSWspCTtKUDY2MdDuFH+ulXCSpW7zZQdKULe7r47SrP9HtNAD4q+c/t9spSFLXOSInSZLUUhZykiRJLWUhJ0mS1FI7dY1ckkOAi4D9gd2BzcB5VXX/riaUZD2wF/DAmPDrgEua5eOAW4FtwNuq6lNJ3gMcV1VP3dXjS5IktcW0C7kkewLXA6uqamMTOxu4Ejh1hvI6q6q+Oi62tDnW3cBJVfVgs74XcDzwlSRLq2r9DOUgSZLU03ZmanU5cNNoEQdQVZcBByS5PMllSdYluTXJk5IsSfKlJNcnuS3JW2cs+44XAp8DLgVes72NkqxOsinJpsHBwRlOQZIkae7tTCF3KLBlgvhdwAnAlqpaBlwAXNi0LQFWAkcDy5IcOckxLk+yvnm9YpJtVwHvB/4WeGqSx020UVWtraqBqhro7++fpEtJkqTetzOF3D10CrPxDgNuBtY16xuAw5vlzVV1X1WNABvHxLfnrKpa2rw+sL2NkhwB/CzwduDTQAGvnOqJSJIktdnOFHLXAScmOWY0kGQVMEjnBoSjmvDxwB3N8hFJ9krSBxwL3LnzKT/MKuD8qjq5qk4GlgEvT7J4hvqXJEnqWdO+2aGqtiY5Dbg4yf5NH7cDZwJrgFOSnA700ZlOBRgCrgIOBK6uqs27mnhTrJ0BPGVMbt9Mshl4PvDRXT2GJElSL9uprx+pqi3AivHxJABrqurGMbElwL1VtXyKfS+dpH3JmNWfuB6uqp49leNIkiS1XVeetZpkBXDuBE2XVNW1c52PJElSG81oIVdVKyeI3U3nS3zHxq6n8110kiRJ2kldGZGT1E5DIyP81fOf2+00gE4ui/v6up2GJHWVz1qVNGW9VDj1Ui6S1C0WcpIkSS1lISdpUkMjI91O4Sf0Yk6SNNe8Rk7SpBb39bHi6r/udhoPc/3zT+12CpLUdY7ISZIktZSFnCRJUktZyEmSJLXUjF4jl+QQ4CJgf2B3YDNwXlXdPwN93w18ExihU4D+B3B2c6zbgdvGbL6uqv5oV48pSZLUy2askEuyJ52nNayqqo1N7GzgSmCmrko+qaoebPr+U+BlzTHvnOwZrZIkSfPNTI7ILQduGi3iAKrqsiTnJLkcKOAgYB/gLOBB4CrgW8DjgRuq6vypHCjJbsBPAV+banJJVgOrAQ4++OCp7iZJktSzZvIauUOBLRPE7wJOALZU1TLgAuDCpm0JsBI4GliW5MhJjvGZJJ8H/hb4HnB5E39ykvVjXo8bv2NVra2qgaoa6O/vn96ZSZIk9aCZHJG7BzhmgvhhwM3AumZ9A3Bxs7y5qu4DSLIROJyHX+s23o+nVkclAadWJUnSAjSTI3LXAScm+XExl2QVMAhsA45qwscDdzTLRyTZK0kfcCxw5wzmI0mSNK/N2IhcVW1NchpwcZL9m75vB84E1gCnJDkd6KMznQowROc6uQOBq6tq80zlI0mSNN/N6NePVNUWYMX4eDP9uaaqbhwTWwLcW1XLp9j3ku3E7waOm362kiRJ7dZTz1pNsgI4d4KmS6rq2rnOR5IkqZfNSSFXVSsniN3NuJG0qrqezvfCSZIkaRI9NSInqTcNjYxw/fNn6nu9Z8bQyAiL+/q6nYYkdZXPWpU0qV4smHoxJ0maaxZykiRJLWUhJ2mHhkZGup3ChHo1L0maS14jJ2mHFvf18atX/2230/gJn3z+r3Q7BUnqOkfkJEmSWspCTpIkqaUs5CRJklqq566RS7I78EFgCfAI4C3Ac4EjgfuAopP3K6vqjiR7AHcDb6+qt3UjZ0mSpG7oxRG5lwD/UVVPB04B/ryJv6GqllbVM4D/C7y5iT8P+BiwMkkvno8kSdKs6MXC5yrgTWPWhyfYZj9ga7O8CvgQsBl49uymJkmS1Dt6rpCrqq1VdX+SfYGrgd9rmi5Msj7J54CTgfOSHAbsXVWb6UzHvnp7/SZZnWRTkk2Dg4OzfRqSJEmzrueukQNIchBwLfDuqvpokpPoTK3eOG67PwX2TnIjEOBpSZ5YVf8yvs+qWgusBRgYGKhZPwlJkqRZ1nOFXJIDgc8Ar6mqz+1gu0XAGcBTq+q+JnY+8Crg3LnIVZIkqZt6bmoV+D/Ao4E3NVOp64E9J9huBfDl0SKu8SHgpUn2mv00JUmSuqvnRuSq6nXA66aw3SeAT4yL/TvQP0upSZIk9ZReHJGTJEnSFFjISZIktVTPTa1K6i1DIyN88vm/0u00fsLQyAiL+/q6nYYkdZUjcpJ2qFeLpV7NS5LmkoWcJElSS1nISfoJQyPbup3CpNqQoyTNNq+Rk/QTFvftxnOu+btup7FD1z7vl7qdgiR1nSNykiRJLWUhJ0mS1FIWcpIkSS01o9fIJTkEuAjYH9gd2AycV1X3z0Df64G9gAfGhF8HXNIsHwfcCmwD3lZVn9rVY0qSJPWyGSvkkuwJXA+sqqqNTexs4Erg1Bk6zFlV9dVxsaXNse4GTqqqB2foWJIkST1tJkfklgM3jRZxAFV1WZJzklwOFHAQsA9wFvAgcBXwLeDxwA1Vdf4M5iNJkjSvzeQ1cocCWyaI3wWcAGypqmXABcCFTdsSYCVwNLAsyZGTHOPyJOub1yumk1yS1Uk2Jdk0ODg4nV0lSZJ60kwWcvfQKczGOwy4GVjXrG8ADm+WN1fVfVU1AmwcE9+es6pqafP6wHSSq6q1VTVQVQP9/f3T2VWSJKknzWQhdx1wYpJjRgNJVgGDdG5AOKoJHw/c0SwfkWSvJH3AscCdM5iPJEnSvDZj18hV1dYkpwEXJ9m/6ft24ExgDXBKktOBPjrTqQBDdK6TOxC4uqo2z1Q+kiRJ892Mfv1IVW0BVoyPJwFYU1U3joktAe6tquVT7HvpJO1LppGqJElS6/XUs1aTrADOnaDpkqq6dq7zkSRJ6mVzUshV1coJYnfT+RLfsbHr6XwXnSRJkibRUyNyknrD0Mg2rn3eL3U7jR0aGtnG4j6fMihpYfOnoKSf0IYCqQ05StJs8yehJElSS1nISZIktZSFnKSfMDSyrdspTKoNOUrSbPNmB0k/YXHfbjz/mi93O40duvp5R02+kSTNc47ISZIktZSFnCRJUktNeWo1ySHARcD+wO7AZuC8qrp/V5NIsh7YC3hgTPh1wCXN8nHArcA24G3ACPBHwDeBF1bVtiR/DlzUfNGwJEnSvDelQi7JnnSeuLCqqjY2sbOBK4FTZyiXs6rqq+NiS5tj3Q2cVFUPNuvXAycBfwg8Jckw8AOLOEmStJBMdURuOXDTaBEHUFWXJTknyeVAAQcB+wBnAQ8CVwHfAh4P3FBV589g3luBvZvXD4E/AF41g/1LkiT1vKleI3cosGWC+F3ACcCWqloGXABc2LQtAVYCRwPLkhw5yTEuT7K+eb1ikm3fDLyzOf4TgQ3AmUnem+QXJ9ohyeokm5JsGhwcnKR7SZKk3jfVEbl7gGMmiB8G3Aysa9Y3ABc3y5ur6j6AJBuBw4HbdnCMiaZWJ1RV/ww8L0kf8HFgFfBB4AV0poCfPcE+a4G1AAMDAzWV40iSJPWyqY7IXQecmOTHxVySVcAgnRsQRr/Q6Xjgjmb5iCR7NcXWscCdM5Pyw6wGLm2Wd6Mzxbv3LBxHkiSp50xpRK6qtiY5Dbg4yf7NfrcDZwJrgFOSnA700ZlOBRiic53cgcDVVbV5JhNP8khgaVW9qFn/NnAL8O6ZPI4kSVKvmvLXj1TVFmDF+HgSgDVVdeOY2BLg3qpaPsW+l07SvmSC2A+AF41Z/42pHEuSJGm+mLNHdCVZAZw7QdMlVXXtXOUhSZI0X+xyIVdVKyeI3U3nS3zHxq6ncyOCJEmSZsCcjchJao+hkW09/1D6oZFtLO7zKYOSFjZ/Ckr6CW0okNqQoyTNNn8SSpIktZSFnCRJUktZyEkL0NDItm6nsMvmwzlI0q7yZgdpAVrctxsvvOZr3U5jl3z8eYd3OwVJ6jpH5CRJklrKQk6SJKmlenJqtXnE1+3AbWPCnweeAfwU8NPAnU38mcDuwN3A26vqbXOVpyRJUjf1ZCHXuHOCZ7D+YZKlwCur6ozRYJIzgI8BK5O8vaq8ClqSJM1782VqdRXwIWAz8Owu5yJJkjQnermQe3KS9WNej5tooySHAXtX1Wbgg8Crt7Pd6iSbkmwaHBycxbQlSZLmRtumVieyCtg7yY1AgKcleWJV/cvYjapqLbAWYGBgoGY6WUmSpLnWy4XcpJIsAs4AnlpV9zWx84FXAed2MzdJkqTZ1stTq1OxAvjyaBHX+BDw0iR7dSknSZKkOdGTI3JVdTdw3Hba1gPrm+VPAJ8Y1/7vQP+sJihJktQD2j4iJ0mStGBZyEmSJLVUT06tSppdQyPbWv/Q+aGRbSzu829RSQubPwWlBWg+FEDz4RwkaVf5k1CSJKmlLOQkSZJaykJOarGHRhbuQ0oW8rlL0ihvdpBabPe+8JvX/r9up9EV73zOQd1OQZK6zhE5SZKklrKQkyRJaqkpT60mOQS4CNgf2B3YDJxXVffvahJJdgfeCJwIjAAPAb9XVRuTLAFuB25rNt8D2Aq8oKq+l2QI2AAE2Ad4S1Vdu6s5SZIk9bopFXJJ9gSuB1ZV1cYmdjZwJXDqDOTxR0Af8MtVtS3JE4BPJTkNKODOqlo6Jp8/Bl5Bp7C8b7QtyaOAryf5ZFV5JbQkSZrXpjoitxy4abSIA6iqy5Kck+RyOsXWQXRGxM4CHgSuAr4FPB64oarO30H/LwEOqaptTd//muRdwErgQ2M3TJLmWP8yQT+PBO6xiJMkSQvBVK+ROxTYMkH8LuAEYEtVLQMuAC5s2pbQKcSOBpYlOXKijpM8hs6o2vC4pm8AT2iWn5xkfZLbga/TKeIua9r2a9pupjMFe/V2jrM6yaYkmwYHByc5XUmSpN431ULuHjqF2XiHATcD65r1DcDoAxw3V9V9VTUCbBwTH+/7dIqx8aODhwHfbJZHp1aPBf4VuHdM4XdfVS2tqhPoFH4vTvJL4w9SVWuraqCqBvr7+3d4spIkSW0w1ULuOuDEJMeMBpKsAgaBbcBRTfh44I5m+YgkeyXpo1OA3TlRx1U1BHwceGuS3Zq+DwVeBVw6btv/An4N+P0kT5mgu/vpFIaLp3hekiRJrTWla+Sqamtz48HFSfZv9rsdOBNYA5yS5HQ6NyysbHYbonOd3IHA1VW1eQeHOI/OtOwXm7tQf0TnxopvNHetjs3l3iS/A7wvydNoplbpXKe3B3Ar8PmpnJckSVKbTfnrR6pqC7BifLxz7wFrqurGMbEldKY/l0+x72Hg95rX+La7gePGxa4ArmhWHX2TJEkL0pw9oivJCuDcCZou8XvfJEmSpm+XC7mqWjlB7G5+chTtejrfRSdJkqQZMGcjcpJm3kMjtWAfHv/QSLF7X7qdhiR1lc9alVpsIRcyC/ncJWmUhZwkSVJLWchJkiS1lIWc1COGR3xE8HT4fkmSNztIPWNRX7jw2m91O43WeMNz/ke3U5CkrnNETpIkqaUs5CRJklpqRgu5JIckuSbJ+iS3JHl3kn1nqO8zk2xMsiHJe5PslmRpku80x/t8ki8mee1MHE+SJKnXzdg1ckn2pPPkhlVVtbGJnQ1cCZw6A32/Bfi5qnogyWifPwDWVdUZzXaPAL6W5MNV9f1dOaYkSVKvm8mbHZYDN40WcQBVdVmSc5JcDhRwELAPcBbwIHAV8C3g8cANVXX+dvr+EfC0qnpgTN4PTrDdvsAIMDwD5yNJktTTZnJq9VBgywTxu4ATgC1VtQy4ALiwaVsCrASOBpYlOXKijqtqW1XdC9BMne4DfLZpXtZMra4DrgBeW1Vbx/eRZHWSTUk2DQ4O7twZSpIk9ZCZLOTuoVOYjXcYcDOwrlnfABzeLG+uqvuqagTYOCb+E5pr4i4CTgSeV1WjXyK1rqqWVtWyqnpWVX16ov2ram1VDVTVQH9//7RPTpIkqdfMZCF3HXBikmNGA0lWAYPANuCoJnw8cEezfESSvZL0AccCd+6g//cBewC/OmaKVZIkacGasWvkqmprktOAi5Ps3/R9O3AmsAY4JcnpQB+d6VSAITrXyR0IXF1Vmyfqu5lyfQXwBWBdEoBLgO/NVP6SJEltM6NPdqiqLcCK8fGm8FpTVTeOiS0B7q2q5VPo9za2P3q4fmdylSRJarueekRXkhXAuRM0XVJV1851PpIkSb1sTgq5qlo5Qexu4LhxsevpfBedJEmSJtFTI3LSQjY8Uj4IfhqGR4pFfel2GpLUVT5rVeoRFiXT4/slSRZykiRJrWUhJ0mS1FIWclIPGB6pyTfSw/ieSZI3O0g9YVFf+OAnvtPtNFrl5c99TLdTkKSuc0ROkiSppSzkJEmSWspCTpIkqaVmtJBLckiSa5KsT3JLkncn2XeG+n5eki8luTXJqia2NMl3muN9PskXk7x2Jo4nSZLU62bsZocke9J5vNaqqtrYxM4GrgRO3cW++4A/AQaArcCdST7ZNK+rqjOa7R4BfC3Jh6vq+7tyTEmSpF43k3etLgduGi3iAKrqsiTnJLkcKOAgYB/gLOBB4CrgW8DjgRuq6vyJOq6qkSRHVNVwkscAoVPQjbcvMAIMj29IshpYDXDwwQfv/FlKkiT1iJmcWj0U2DJB/C7gBGBLVS0DLgAubNqWACuBo4FlSY7cXudNEfdcYDNwM/BQ07SsmVpdB1wBvLaqfqLIq6q1VTVQVQP9/f07cXqSJEm9ZSYLuXvoFGbjHUan8FrXrG8ADm+WN1fVfVU1AmwcE59QVX0CeBywmM6oHnSmVpdW1bKqelZVfXrXTkOSJKkdZrKQuw44Mckxo4HmpoRBYBtwVBM+HrijWT4iyV7NNXDHAndO1HGSRya5Kckjqmob8MOmT0mSpAVrxq6Rq6qtSU4DLk6yf9P37cCZwBrglCSnA310plMBhuhcJ3cgcHVVbd5O3z9IcgVwc5KHmn4/Ajx9pvKXJElqmxl9RFdVbQFWjI8nAVhTVTeOiS0B7q2q5VPsey2wdlx4ffOSJElacHrqWatJVgDnTtB0SVVdO9f5SJIk9bI5KeSqauUEsbuB48bFrqfzXXSSJEmaRE+NyEkL1fBI8fLnPqbbabTK8EixqC/dTkOSuspnrUo9wIJk+nzPJMlCTpIkqbUs5KQuGhmpbqfQWr53kuQ1clJX9fWFT1z93W6n0UrPff4B3U5BkrrOETlJkqSWspCTJElqKQs5SZKklppWIZfkkCTXJFmf5JYk706y764mkeTEps/1SYbGLB+VZPckv5/kC03ss0mObfa7PMnLx/X1v5O8ZVdzkiRJ6nVTvtkhyZ50nrqwqqo2NrGzgSuBU3cliar6LPDZps9vV9XSMcf9Y6AP+OWq2pbkCcCnkpxG59mrbwE+OKa7s4Ff3ZV8JEmS2mA6d60uB24aLeIAquqyJOckuRwo4CBgH+As4EHgKuBbwOOBG6rq/J3I8SXAIVW1rTnmvyZ5F7Cyqv4gSX+SJzTxo4FvN4//epgkq4HVAAcffPBOpCFJktRbpjO1eiiwZYL4XcAJwJaqWgZcAFzYtC0BVgJHA8uSHDmd5JI8BrivqobHNX0DeEKz/AE6xR7Ay4D3TdRXVa2tqoGqGujv759OGpIkST1pOoXcPXQKs/EOA24G1jXrG4DDm+XNVXVfVY0AG8fEp+r7wH5Jxo8cHgZ8s1m+HHhhkj2ApcBfTfMYkiRJrTSdQu464MQkx4wGkqwCBoFtwFFN+Hjgjmb5iCR7JekDjgXunE5yVTUEfBx4a5LdmmMeCrwKuLTZ5rvAPwNvAq6dYPROkiRpXpryNXJVtbW5weDiJPs3+94OnAmsAU5JcjqdGxNWNrsN0blO7kDg6qravBM5nkdnuvaLSYaAH9G54eIbY7b5C+DTTH/ET5IkqbWm9YiuqtoCrBgfTwKwpqpuHBNbAtxbVcuneYzHjlsfBn6veW1vn88Bj5jOcSRJktpuTp+1mmQFcO4ETZdU1bVzmYskSVLbzUghV1UrJ4jdDRw3LnY9ne+ikyRJ0i6a0xE5SQ83MlI89/kHdDuNVhoZKfr60u00JKmrfNaq1EUWIjvP906SLOQkSZJay0JOmsDISHU7BU3C/0eS5DVy0oT6+sJnrvxut9PQDpx0ptcWSpIjcpIkSS1lISdJktRSFnKSJEkt1TOFXJK3J1mf5KtJvtksX5XkkCTXNOu3JHl3kn2b171J9hnXzz8mOaxb5yFJkjRXeuZmh6r6bYAkK4EnVdXvJtkTuBVYVVUbm/azgSur6tQkfwU8H7i0aTsKuK+q/r8unIIkSdKc6pkRue1YDtw0WsQBVNVlwAFJDgX+AjhrzPYvB9bObYqSJEnd0euF3KHAlgnidwEHNwXefkkOSvII4FeAT0zUUZLVSTYl2TQ4ODh7GUuSJM2RXi/k7gGWTBA/DPhms/wB4CXAc4Drq2pooo6qam1VDVTVQH9//2zkKkmSNKd6vZC7DjgxyTGjgSSrgMGq+kYT+gjwq8CL6Uy1SpIkLQg9c7PDRKpqa5LTgIuT7E8n39uBM8ds870kXwMeW1Vf71KqkiRJc67nCrmqunTc+hZgxST7nLWjdkmSpPmo16dWJUmStB0WcpIkSS3Vc1OrUi8YGSlOOvOAbqehHRgZKfr60u00JKmrHJGTJmCB0Pv8fyRJFnKSJEmtZSGn1tg2Ut1OQT3Ez4MkeY2cWmS3vnDL5T5eTR3Hn+UTWiTJETlJkqSWspCTJElqKQs5SZKkltqpa+SSHAJcBOwP7A5sBs6rqvt3NaEkxwBvAUKn0Px0Vb09yduBo4DHAnsB3wAGgdcDH6uq43b12JIkSW0y7UIuyZ7A9cCqqtrYxM4GrgROnYGc/hw4q6q+mmR3YEOSdVX1282xVgJPqqrfbdaXzMAxJUmSWmdnplaXAzeNFnEAVXUZcECSy5NclmRdkluTPCnJkiRfSnJ9ktuSvHWS/v8VeE2So4BtwPFV9Q87kackSdK8tjOF3KHAlgnidwEnAFuqahlwAXBh07YEWAkcDSxLcuQO+n8FcC/wHuA7wNuTPGIn8nyYJKuTbEqyaXDQr7CQJEnttzOF3D10CrPxDgNuBtY16xuAw5vlzVV1X1WNABvHxB8myR7AkVX15qo6BvgZ4GBg9U7k+TBVtbaqBqpqoL/f75+SJEnttzOF3HXAic1NCQAkWUXnxoNtdG5IADgeuKNZPiLJXkn6gGOBO7fT9zbgI0l+FqCq/oPOVOuPdiJPSZKkeW3aNztU1dYkpwEXJ9m/6eN24ExgDXBKktOBPjrTqQBDwFXAgcDVVbV5O30PJXkh8L4ki4ACvgR8cJK0fjbJpjHrv11VN0333CRJktpkp75+pKq2ACvGx5MArKmqG8fElgD3VtXyKfa9gc5o3vbaLx23fjewz1T6liRJmk+68qzVJCuAcydouqSqrp3rfCRJktpoRgu5qlo5Qexu4LhxsevpfBedJEmSdlJXRuSknbFtpDj+LO84Vse2kWK3vnQ7DUnqKp+1qtbwl7bG8vMgSRZykiRJrWUhJ0mS1FIWcuq6bcPV7RTUQn5uJMmbHdQDdlsU/uH93+l2GmqZp656TLdTkKSuc0ROkiSppSzkJEmSWmrGplaTHAJcBOwP7A5sBs6rqvtnoO/1wF7AA2PCJzXPZn0N8GvAQ038s1X15l09piRJUq+bkUIuyZ50ntSwqqo2NrGzgSuBU2fiGMBZVfXVccc9B3ga8IyqejDJ7sAVSU6qqs/M0HElSZJ60kyNyC0Hbhot4gCq6rIk5yS5HCjgIDoPtz8LeBC4CvgW8Hjghqo6fyeO+2pgaVU92BzzoSQvqipvZ5MkSfPeTF0jdyiwZYL4XcAJwJaqWgZcAFzYtC0BVgJHA8uSHDnJMS5Psr55vaKJ7VdV3wVI8pxmCvaLSS4av3OS1Uk2Jdk0ODg4rZOTJEnqRTNVyN1DpzAb7zDgZmBds74BOLxZ3lxV91XVCLBxTHx7zqqqpc3rA03s/iT7AVTVtVW1FPgD4IDxO1fV2qoaqKqB/n6f1ylJktpvpgq564ATkxwzGkiyChgEtgFHNeHjgTua5SOS7JWkDzgWuHMnjvsuYE2SRzTH7AOeTmcqV5IkaV6bkWvkqmprktOAi5Ps3/R7O3AmsAY4JcnpQB+d6VSAITrXyR0IXF1Vm3fiuO9M8krgs0lGgEcB64HX79IJSZIktcCMff1IVW0BVoyPJwFYU1U3joktAe6tquVT7HvpDtreC7x3mulKkiS1Xs88oivJCuDcCZouqapr5zofSZKkXjfrhVxVrZwgdjdw3LjY9XS+i06SJElT0DMjclq4tg2XD0DXtG0bLnZblG6nIUld5bNW1XX+MtbO8HMjSRZykiRJrWUhJ0mS1FIWctpp24b93mV1j58/SfJmB+2C3RaFr7/r3m6noQXqZ159YLdTkKSuc0ROkiSppSzkJEmSWmraU6tJDgEuAvYHdgc2A+dV1f27mkySu4FvAiN0isz/AM4GLgCOAh4L7AV8AxisqhckObvZZgQIcGFVfWZXc5EkSep10yrkkuxJ5+kLq6pqYxM7G7gSOHWGcjqpqh5s+v5T4GVV9dvN+krgSVX1u836o4A3AU+uqqEkPw3cmuTgqto2Q/lIkiT1pOlOrS4Hbhot4gCq6jLggCSXJ7ksyboktyZ5UpIlSb6U5PoktyV561QPlGQ34KeArTvYbCudYvScJP+zqv4d+J8WcZIkaSGYbiF3KLBlgvhdwAnAlqpaRmcq9MKmbQmwEjgaWJbkyEmO8Zkknwf+FvgecPn2NqyqEeBXgMOAG5P8K/DyibZNsjrJpiSbBgcHJ0lBkiSp9033Grl7gGMmiB8G3Aysa9Y3ABc3y5ur6j6AJBuBw4HbdnCMH0+tTqaZSt2zql7TrP8MnYLu76rqn8ZuW1VrgbUAAwMDfgGVJElqvemOyF0HnJjkx8VcklXAILCNzg0JAMcDdzTLRyTZK0kfcCxw566l/DCPBa5I8uhm/V+B7wJDM3gMSZKknjStEbmq2prkNODiJPs3+98OnAmsAU5JcjrQR2c6FTpF1VXAgcDVVbV5ZlKHqrotyTuBdUkeaPJ5f1V9baaOIUmS1Kum/fUjVbUFWDE+ngRgTVXdOCa2BLi3qpZPse8lk7RfOkHs/cD7p9K/JEnSfDLnj+hKsgI4d4KmS6rq2rnOR5Ikqa1mrJCrqpUTxO4GjhsXu57Od9FJkiRpF8z5iJzmj23D5YPL1TXbhovdFqXbaUhSV/msVe00f4mqm/z8SZKFnCRJUmtZyEmSJLWUhZympYZ9KIZ6g59FSfJmB01TFoV/f9u3up2GxE+//n90OwVJ6jpH5CRJklrKQk6SJKmlplzIJTkkyTVJ1ie5Jcm7k+w7E0kkeV6SLyW5NcmqJrY0yXea430+yReTvLZpO7nZ9uokuzWxP28eCSZJkrQgTOkauSR70nkaw6qq2tjEzgauBE7dlQSS9AF/AgwAW4E7k3yyaV5XVWc02z0C+FqSDwOvAk4C/hB4SpJh4AfNkyQkSZIWhKne7LAcuGm0iAOoqsuSnJPkcqCAg4B9gLOAB4GrgG8BjwduqKrzJ+q4qkaSHFFVw0keA4ROQTfevsAIMNy07928fgj8AZ3iTpIkacGY6tTqocCWCeJ3AScAW6pqGXABcGHTtgRYCRwNLEty5PY6b4q45wKbgZuBh5qmZc3U6jrgCuC1VbUVeDPwzub4TwQ2AGcmeW+SX5zoGElWJ9mUZNPg4OAUT1uSJKl3TbWQu4dOYTbeYXQKr3XN+gbg8GZ5c1XdV1UjwMYx8QlV1SeAxwGL6YzqQWdqdWlVLauqZ1XVp5tt/7mqnkdnSvYVwEeBZwGvAd60nf7XVtVAVQ309/dP5ZwlSZJ62lQLueuAE5McMxpobkoYBLYBRzXh44E7muUjkuzVXAN3LHDnRB0neWSSm5I8oqq20Zkq3TbFvFYDl445l6Iz3SpJkjTvTekauaramuQ04OIk+zf73Q6cCawBTklyOtBHZzoVYIjOdXIHAldX1ebt9P2DJFcANyd5qOn3I8DTd5RTkkcCS6vqRc36t4FbgHdP5ZwkSZLabspPdqiqLcCK8fEkAGuq6sYxsSXAvVW1fIp9rwXWjguvb17b2+cHwIvGrP/GVI4lSZI0X8zZI7qSrADOnaDpkqq6dq7ykCRJmi92uZCrqpUTxO4GjhsXu57Od9FJkiRpBszZiJzmhxouH1aunlDDRRal22lIUlf5rFVNi7841Sv8LEqShZwkSVJrWchJkiS1lIWcdqiGp/rdzNLc8rMpSd7soElk0W58+6J/6XYa0k947O88sdspSFLXOSInSZLUUhZykiRJLTXlQi7JIUmuSbI+yS1J3p1k35lIIsmZSTYm2ZDkvUl2S7I0yXea430+yReTvLbZ/uQktya5OsluTezPm0eDSZIkLQhTKuSS7EnnqQwXVtXSqjoe2AhcuasJNH2/BXhGVT0NeBRwatO8rjneM4BfBn47yU8BrwJOAu4BnpLk54AfNE+UkCRJWhCmerPDcuCmqto4Gqiqy5Kck+RyoICDgH2As4AHgauAbwGPB26oqvO30/ePgKdV1QNjcnpwgu32BUaAYWArsHfz+iHwB3SKO0mSpAVjqlOrhwJbJojfBZwAbKmqZcAFwIVN2xJgJXA0sCzJkRN1XFXbqupegGbqdB/gs03zsmZqdR1wBfDaqtoKvBl4Z3P8JwIbgDObadlfnOg4SVYn2ZRk0+Dg4BRPW5IkqXdNdUTuHuCYCeKHATcD65r1DcDFzfLmqroPIMlG4HDgtok6b65zuxD4GeB5VVVJoDO1esb47avqn4HnJekDPg6sAj4IvIDOFPCzJ9hnLbAWYGBgoCY/ZUmSpN421RG564ATk/y4mEuyChgEtgFHNeHjgTua5SOS7NUUW8cCd+6g//cBewC/OmaKdSpWA5c2y7vRmeLdexr7S5IktdaURuSqamuS04CLk+zf7Hc7cCawBjglyelAH53pVIAhOtfJHQhcXVWbJ+q7mXJ9BfAFYF0zEncJ8L0d5ZTkkcDSqnpRs/5t4Bbg3VM5J0mSpLab8pMdqmoLsGJ8vCm81lTVjWNiS4B7q2r5FPq9je2PDK7fwX4/AF40Zv03JjuWJEnSfDJnj+hKsgI4d4KmS6rq2rnKQ5Ikab7Y5UKuqlZOELsbOG5c7Ho6NyJIkiRpBszZiJzaqYa3+XBy9aQa3kYW+ZRBSQubPwW1Q/6iVK/ysylJFnKSJEmtZSEnSZLUUhZyC1gNb+t2CtJO8/MrSd7ssKBl0W7ce/Ht3U5D2ikH/u+f73YKktR1jshJkiS1lIWcJElSS1nISZIktdS0r5FLcghwEbA/sDuwGTivqu7flUSSnAic36w+DdjQLP828HZgL+ABOsXno4E3VNUNSS4FjgTuAx4BfAV4VVU9tCv5SJIk9bppFXJJ9qTzmK1VVbWxiZ0NXAmcuiuJVNVngc82fX67qpaOOS7AWVX11Wb9cOAa4IZmkzdU1Y1N20eB04GrdyUfSZKkXjfdEbnlwE2jRRxAVV2W5JwklwMFHATsA5wFPAhcBXwLeDxwQ1Wd/5PdTtsTgO+NDybpA/YFvjlB22pgNcDBBx88AylIkiR113SvkTsU2DJB/C7gBGBLVS0DLgAubNqWACuBo4FlSY7cmUSBy5NsSPJvwK8DLxvTdmGS9cA/AwcCXxu/c1WtraqBqhro7+/fyRQkSZJ6x3QLuXvoFGbjHQbcDKxr1jcAhzfLm6vqvqoaATaOiU/XWVX1NODNwGN4+KjbG6pqaVX9DHAjnWvqJEmS5rXpFnLXAScmOWY0kGQVMAhsA45qwscDdzTLRyTZq5n2PBa4c1cSrqr30Sni3rqdTf4fsHhXjiFJktQG07pGrqq2JjkNuDjJ/s3+twNnAmuAU5KcDvTRmU4FGKJzndyBwNVVtXkG8n4dcHuSjzTrFyb5XWCkOfbLZ+AYkiRJPW3aXz9SVVuAFePjzZ2la0bvHm1iS4B7q2r5NI/x2HHrS8et30fn5gn474JRkiRpQZnzZ60mWQGcO0HTJVV17VznI0mS1FYzVshV1coJYncDx42LXU/nu+gkSZK0C+Z8RE69o4a3ceD//vlupyHtlBreRhb5lEFJC5s/BRcwfwmqzfz8SpKFnCRJUmtZyM1DNbyt2ylIs87PuSR5jdy8lEW7ce8lGyffUGqxA193bLdTkKSuc0ROkiSppSzkJEmSWspCTpIkqaWmXcglOSTJNUnWJ7klybuT7DtTCSX56SQPJHnBuPjvJvnbJJ9J8jdJjkrS3+SxPsn3k9zaLL9ipvKRJEnqVdO62SHJnnSeyrCqqjY2sbOBK4FTZyinlwGXAK8GrmqO8WQ6z3c9vqoqyS8Al1XVU4ClzTbrgVdW1VdnKA9JkqSeNt0RueXATaNFHEBVXQYckOTyJJclWdeMjD0pyZIkX0pyfZLbkrx1R50nCfBS4B3A4iQ/2zR9BzgYeHmSx1XVPwLHTCfxJKuTbEqyaXBwcDq7SpIk9aTpFnKHAlsmiN8FnABsqaplwAXAhU3bEmAlcDSwLMmRO+j/mcA/VdUg8EE6o3JU1XdpRuSAv0/yVaY5AlhVa6tqoKoG+vv7p7OrJElST5puIXcPncJsvMOAm4F1zfoG4PBmeXNV3VdVI8DGMfGJ/DpwSJIbgRcDL0ryqCRPBH5QVS+vqoOBlwDvSbLfNPOXJEmaN6ZbyF0HnJjkx9OaSVYBg8A24KgmfDxwR7N8RJK9kvQBxwJ3TtRxkgOA44Bjq+rkZmTvGuBs4OfpFG57NJt/HfhPYGSa+UuSJM0b07rZoaq2JjkNuDjJ/s3+twNnAmuAU5KcDvTRmU4FGKJz08KBwNVVtXk73Z8FXNOM3I36C+By4IjmtTHJVjoF6Our6j+nk78kSdJ8Mu1HdFXVFjrXqz1M5z4F1lTVjWNiS4B7q2r5FPp9xwSxW4EnNatvbV7b23/pZMeQJEmaT+b8WatJVgDnTtB0SVVdO9f5SJIktdWMFXJVtXKC2N10rnsbG7ueznfRSZIkaRfM+YicZl8Nb+PA1x3b7TSkWVXD28ginzIoaWHzp+A85C83LQR+ziXJQk6SJKm1LORarob9Kj0tTH72Jclr5Fovi/q4953ru52GNOcO/M2l3U5BkrrOETlJkqSWspCTJElqKQs5SZKklprWNXJJDgEuAvYHdgc2A+dV1f27mkiSu4FvAtuAPYAvA79dVQ8mWQ/sBTxAp/h8NPCGqrohyaXAkcB9wCOArwCvqqqHdjUnSZKkXjblEbkke9J5IsOFVbW0qo4HNgJXzmA+JzV9Hwf8Ow9/tupZTdsJwPOBt41pe0PT9ovA3sDpM5iTJElST5rO1Opy4Kaq2jgaqKrLgAOSXJ7ksiTrktya5ElJliT5UpLrk9yWZLsPvN+OdwDP207bE4DvjQ8m6QP2pTOyJ0mSNK9Np5A7FNgyQfwu4ARgS1UtAy4ALmzalgArgaOBZUmOnOrBquq/6Eyxjro8yYYk/wb8OvCyMW0XNtOv/wwcCHxtfH9JVifZlGTT4ODgVNOQJEnqWdMp5O6hU5iNdxhwM7CuWd8AHN4sb66q+6pqhM407OET7D+hJI8Exl57d1ZVPQ14M/AYHj7qNjq1+jPAjcDbx/dXVWuraqCqBvr7+6eahiRJUs+aTiF3HXBikmNGA0lWAYN0blA4qgkfD9zRLB+RZK9myvNY4M5pHO8NwF+OD1bV++gUcdubqv1/wOJpHEeSJKmVpnzXalVtTXIacHGS/Zt9bwfOBNYApyQ5HeijM50KMARcRWe68+qq2jzJYT6TZKTp4x+B39nOdq8Dbk/ykWb9wiS/C4zu+/KpnpckSVJbTevrR6pqC7BifDwJwJqqunFMbAlwb1Utn2LfS3bQtnTc+n3A45vVlVPpX5Ikab6Z02etJlkBnDtB0yVVde1c5iJJktR2M1LIVdXKCWJ3A8eNi11P57voJEmStIvmdEROM6+GRzjwN5d2Ow1pztXwCFnU1+00JKmrfNZqy/mLTAuVn31JspCTJElqLQu5FqnhkW6nIPUM/z1IktfItUoW9fGdP79x8g2lBeAxrzm52ylIUtc5IidJktRSFnKSJEktZSEnSZLUUlO6Ri7JIcBFwP7A7sBm4Lyqun9XE0iyHtgLeGBM+KSqGkryGuDXgIea+Ger6s3Nfu8DngK8u6ouT/Io4F1V9ZJdzUmSJKkNJi3kkuxJ52kMq6pqYxM7G7gSOHWG8jirqr467rjnAE8DnlFVDybZHbgiyUnAl4EDm/Z1wOXAG4E/maF8JEmSet5URuSWAzeNFnEAVXVZknOSXA4UcBCwD3AW8CBwFfAtOg+2v6Gqzt+J3F4NLK2qB5tjPpTkRVVVSfamMzK4B/BgM2K4d1V9ZSeOI0mS1EpTuUbuUGDLBPG7gBOALVW1DLgAuLBpWwKsBI4GliU5cpJjXJ5kffN6RRPbr6q+C5DkOc0U7BeTXFRVP6QzSngl8IfAm4BLkrwzycVNofcwSVYn2ZRk0+Dg4BROW5IkqbdNpZC7h05hNt5hwM10pjYBNgCHN8ubq+q+qhoBNo6Jb89ZVbW0eX2gid2fZD+Aqrq2qpYCfwAc0MTeV1WnA6FTaD6zyecW4MXjD1BVa6tqoKoG+vv7p3DakiRJvW0qhdx1wIlJjhkNJFkFDALbgKOa8PHAHc3yEUn2StIHHAvcuRO5vQtYk+QRzTH7gKfTmcod61zgYjo3TIw07fvsxPEkSZJaZdJr5Kpqa5LTgIuT7N/scztwJrAGOCXJ6UAfnelUgCE618kdCFxdVZunm1hVvTPJK4HPJhkBHgWsB14/uk2SM4C/qqoHklwF/CWd4vKM6R5PkiSpbab09SNVtQVYMT6eBGBNVd04JrYEuLeqlk+x76U7aHsv8N4dtH9szPK/0RkVlCRJWhDm5FmrSVbQmQId75KqunYucpAkSZpvdqmQq6qVE8TuBo4bF7uezl2mkiRJmiFzMiKnmVHDIzzmNSd3Ow2pJ9TwCFnU1+00JKmrfNZqi/hLS/pv/nuQJAs5SZKk1rKQm0U1PNLtFKR5y39fkuQ1crMqi/r4zru8KVeaDY959XO6nYIkdZ0jcpIkSS1lISdJktRSFnKSJEkttVOFXJJDklyTZH2SW5K8O8m+M5FQkruT3JzkpiSbkry6iS9N8rEJtl+f5EnN8j7Nfr87E7lIkiT1smnf7JBkTzpPaVhVVRub2NnAlcCpM5TXSVX1YJLFwD8nuWoKeT0S+DTw0ap69wzlIUmS1LN25q7V5cBNo0UcQFVdluScJJcDBRwE7AOcBTwIXAV8C3g8cENVnT/FY+3V7P/9Sbb7KeAy4N1VddnUT0WSJKm9dmZq9VBgywTxu4ATgC1VtQy4ALiwaVsCrASOBpYlOXKSY3wmyU3A14AvAA9Nsv1Hmm0et70Nkqxupmo3DQ4OTtKdJElS79uZQu4eOoXZeIcBNwPrmvUNwOHN8uaquq+qRoCNY+Lbc1JV/TKdkb0nAr82yfa/CzwbWJnklyfaoKrWVtVAVQ309/dP0p0kSVLv25lC7jrgxCTHjAaSrAIGgW3AUU34eOCOZvmIJHsl6QOOBe6cyoGqagi4F1g8yaZfqaof0JnK/XCSx0z1ZCRJktpq2tfIVdXWJKcBFyfZv+njduBMYA1wSpLTgT4606kAQ3SukzsQuLqqNk9ymM8kGWn6+DfgCuAXgZOSbBqz3YvH5fbFJGuBjyY5qaq2Tff8JEmS2mKnHtFVVVuAFePjSQDWVNWNY2JLgHuravkU+16ynab1wH4TxJeO2/8twFumcixJkqQ268qzVpOsAM6doOmSqvLhpJIkSVMwo4VcVa2cIHY3cNy42PV0votOkiRJO6krI3ILRQ2P8JhXP6fbaUjzUg2PkEV93U5DkrrKZ63OIn/JSLPHf1+SBKmqbucw55IMAv86S90fAHx3lvqeL3yPJud7NDnfox3z/Zmc79HkfI8mNxfv0ROqasIvwV2QhdxsSrKpqga6nUcv8z2anO/R5HyPdsz3Z3K+R5PzPZpct98jp1YlSZJaykJOkiSppSzkZt7abifQAr5Hk/M9mpzv0Y75/kzO92hyvkeT6+p75DVykiRJLeWInCRJUktZyEmSJLWUhdxOSLJnkmuSfCHJp5P0j2v/hSTrx7weTHJyOu4ZE//jbp3DbJvsPWq2eWeSL495Px41lf3miym+R/87ycbm9QdNbF5/jpLsluS9Sf6+Ob8njms/LcmXmvZfn8o+880U3qMzm8/Mhma73Zr4P4z53HyoO9nPjSm8R+cmuWPM+3G4n6P/Pt8kjx33e+z7SV7ZtC2YzxFAkmOTrJ8g3hs/i6rK1zRfwLnABc3yGcAlO9j2BcBHm+UnAn/V7fx75T0C/g44YGff27a/JjtX4FBgE9BH54+uW4Cfn++fI+C5wKXN8nHAdWPadgf+BXg0sBj4EvDYHe0zH1+TvEd7AluAvZr1K4EVwB7AP3Q79154j5rYR4CjprPPfHtN9XyBXwTWNT+LFtrn6A3APwFfHBfvmZ9FjsjtnF8CbmyWbwB+ZaKNkuwN/CHwm03oKOBxST7fjMAcPuuZds8O36NmhOAwYG2SW5K8fCr7zTOTnev/A06uqpGq2kbnB8eDzP/P0Y/fl6r6IjD2izaPAP6lqr5XVUN0/hh4+iT7zEc7Ot8fAU+rqgea9UV0PjdPAfZK8pkk65IcN5cJd8Fkn4mjgDcm+bskb5ziPvPNpOebJMCfAedU1QgL73O0hU5xNl7P/CxaNNsHaLskrwD+97jwvcB/Nsv3A4/azu6vAK6qqtFHd3wL+OOquirJL9H5i/DoGU55zu3ke7Q3nR8O76DzV97nk2wCHjnJfq20M+9RVT0EfLf5Qfo2On8Ffz3JY5mHn6Mxxn4GAEaSLKqq4QnaRt+3He0zH233fJui/16AJK8F9gE+C/wscBHwfjp/RN2Q5PCF+B416x8D3gX8ALg2yalT2Ge+mcr5ngbcUVVfa9YfYAF9jqrqmiRLJmjqmZ9FFnKTqKoPAB8YG0vyCWDfZnVf4Pvb2f3XgOePWd8EDDf9/l2SxyVJNWOwbbWT79EDdKYSH2i2X0fnL70fTLJfK+3s5yjJHsAH6fyQeFUTnpefozHGfgYAdhvzQ3B82+j7tqN95qMdnm8z4n0h8DPA86qqknydzghCAV9P8h/A/6Az8jsfbfc9av44WlNV/9msfwp46o72maemcr4vAS4Zs77QPkfb0zM/i5xa3Tm3AM9ulk8BvjB+gySPAh5RVWM/3H8A/FbT/hTgm/Pol+94k71HPwP8XZK+JLvTGY6+bQr7zSc7PNfml811wOaq+o1mWgPm/+fox+9LM23zT2Pa/hk4LMl+SRYDJwB/P8k+89Fk5/s+Otcy/eqYKdaXA29v9vlpOiMH35qTbLtjR+/RI4GvJNmn+Xe2DPjyJPvMR1M536OADWPWF9rnaHt65meRXwi8E5LsBVxG56+QIeDFVfXtJOfS+Uvl+iRHA+dX1a+O2e/RdKbB9qEzovLqqvrqnJ/AHJjie/QGOjeDPARcXlXv3d5+3TmL2TXZe0RnyvlK4Itjdnsj8FXm8eeoGU16N50bOwK8DDgS2Keq1iY5Dfh9On+IfrCq3jXRPvPpPRlvR+8RnRHbTXT+MBj9AX8J8CngUuDgJn5eVW1gnprC5+ildK5f/hHwuar6Az9HP/Ee9QOfrapfGLPPYhbQ5wigmVr9WFUdl+TF9NjPIgs5SZKklnJqVZIkqaUs5CRJklrKQk6SJKmlLOQkSZJaykJOkiSppSzkJPWkJEuTfGzM+vOTfCXJwdPs55Ak/5jksiRrtrd/kpVJViT5hSS/vxP5npDk53d0DruqeQj3k6a5z8eSLE7yu0mOmalcJPUGn+wgqeclOQN4PfDMqrp3mrsfT+d7wn57RxtV1aVjVv9xmseAzhelfgy4fSf2nTVVdUaz+CddTUTSrHBETlJPa7649VzgV0aLuCRPbR52flOSvxkdZUvy2iR/n2RDkt9s4r8HvCDJOaMjWkkek+TTzXZ/n+SwJBckeeXYUbQkL2ja/y7JnzSxC5rRvRuS3JnkWUmOAk4GLpxoxC/JXkluTPJrzfrbk2xsXq9rYpcm+asmp0cn+eMktzTHf8G4/h7fbPvZJLcl+dUmfmqSLzWvtUl2S3J3kj2a/k9OsnuSDyS5uTmvpbPwv03SHHFETlIvezrwOGA/Hv7z6i+AVVX1j0lOB97RTIe+iM7j3gr4W+Bv6IxEPamq3pPkRc3+5wPXN08TWQb8xJRjkv2APwQGquqBJB9OcuL/3979hFhVhnEc//6wyU1EMbqRICYG+mOuJI2RcAoGmmX7nEVTm7auwiBUEgUrGIcgIt0UwcwiaGYiiBnHP5AmNG1k1EJD0bEpcdHGyObX4n2Ny+XeZhM0R36fzeXc8/Dc897F5eF5z7lPPf2H7eF6vNv2y5K+pvz7+9W2VA8BU5TZwl+qDGfvA56vazqtMmsYYM72B5KGgT7bO1Tm7Z6R9E1LzqeA92zPSxoA9kqaBsaBbbaX6/fxWIfv9HXgN9ujknqBk8DmDnER0QAp5CJiLVsChijFx6eShm2vAJts/1BjTlKKtWeBx4HZ+v6jQH+XvE8CRwFsz0HptLXF9AMbga8kQRmE/UQ9t1Bfr1Fmmv6bnZR5i+vr8dPAqTof909JZ4Bn6rmL9XULsFXSfD3uqWu7Zwl4W9IopWjtATYAt20v13Xtq+tqv54twAuSttfjByT12r61yjoiYg3K1mpErGU/2b5je5wyj3ZPff9Gy4MFO4FLlCLoPPCi7UHKPMhuA6sXgefgn4cUDnWIuUIp1IZqviPA2Xqu02zDFTr/ps4ArwDvqgwZX6R0DZHUAwwAP7bkgDJP93j93JeACeByS879lPnEu4DjlJmOy8AjtZOIpLEuDzdcAD6vuYeBSeB2h7iIaIB05CKiKV4DFiSdBt4AxlXaTXeBUduXJc1StirXA98B17vkOgAclfQqpSgbBUZaA2z/Kul94ISkdcDPlIKqm7PAQUlXbC+25fpF0jvAMcq9dIOSvgUeBCZsf9/WOZuqMacoW7Nf2P69JWYSGJN0k1JsbrC9IulNYEbSX5Su4bkO1/kR8LGkE8DDwIe1yxkRDaTS3Y+ICIB639su2yOrBjeIpM+AT+5tJUfE/SFbqxERVX369DAw/X9fy39J0luU+/AWVouNiGZJRy4iIiKiodKRi4iIiGioFHIRERERDZVCLiIiIqKhUshFRERENFQKuYiIiIiG+huunD3Gu8o7YQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize = (10,15))\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "sns.barplot(y=kk.index,x=kk['Koeficijent korelacije'],orient=\"h\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2af2188b",
   "metadata": {},
   "source": [
    "Najveći koeficijent korelacije, logično, broj pobeda ima sam sa sobom (1.00). Sledeći na listi je procenat trojki (3P%, 0.79), dok je na trećem mestu procenat šuta iz igre (FG%, 0.75). Posle toga imamo sve slabiju zavisnost. Vidimo da broj blokada (BLK) nema praktično nikakve veze sa brojem pobeda nekog tima (BLK, 0.01). Ipak, postoje i značajne negativne zavisnosti. Najveći negativni koeficijent korelacije sa brojem pobeda ima broj blokada protivničkog tima (Opp_BLK, -0.74). To znači da tim koji primi mnogo blokada, nema mnogo izgleda za pobedu. Na sličan način, možemo da utvrdimo i tumačimo i druge statistike tima. To ostavljamo za samostalan rad."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "76c2ac63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1d4ebfa19a0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(tabela['Opp_BLK'],tabela['W'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe09c2c1",
   "metadata": {},
   "source": [
    "Kada bismo na osnovu svih dostupnih statistika koristeći linearni model pravili predikciju uspešnosti tima, broj promenljivih bi sa 45 trebalo smanjiti na nekoliko najznačajnijih koje su međusobno nezavisne. Korelacija svake promenljive sa brojem pobeda nam daje koliko su određene promenljive značajne, ali za meru nezavisnosti moramo da odredimo korelaciju svake promenljive sa svakom drugom. Pomoću funkcije `corr()` dobijamo tabelu korelacija (tkor) između podataka datih u kolonama originalne tabele (tabela).\n",
    "\n",
    "_Naravno, pravljenje modela za predikciju ne treba raditi na osnovu agregiranih podataka (srednje vrednosti za celu sezonu) nego na osnovu podataka za svaku pojedinačnu utakmicu. Tek tada bi se videlo koja je statistika koliko važna._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a44a99f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tkor = tabela.corr()\n",
    "plt.subplots(figsize=(15,10))\n",
    "sns.heatmap(tkor, xticklabels=tkor.columns, yticklabels=tkor.columns, annot=False, cmap=sns.diverging_palette(220, 20, as_cmap=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96d2f700",
   "metadata": {},
   "source": [
    "Polja sa intezivno crvenom bojom najviše koreliraju međusobno, bela praktično ne koreliraju, dok intenzivno plava predstavljaju jaku negativnu korelaciju. Na pretodnoj slici možemo da primetimo crvenu dijagonalu gde svaka promenljiva savršeno korelira sa samom sobom. Osim toga ima oblasti od 2-3 polja koja prilično dobro koreliraju međusobno. To su, na primer, 3P i 3PA ili FT i FTA, što je logično -- veći broj pogadaka zahteva veći broj šuteva. Ovakve promenljive daju redundantne informacije i bilo bi dobro da iz tog skupa uzmemo samo jednu, onnu koja ima najveću korelaciju."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44eeaf1f",
   "metadata": {},
   "source": [
    "Ovde nećemo ulaziti u odabir promenljivih (_feature selection_) jer je tema složenija od prostog posmatranja koeficijenata korelacije. Uostalom, najbolji izbor promenjljivih za različite modele predikcije ne mora da bude isti. Završićemo samo jednim ad-hoc izborom najinformativnijih promenjlivih koje međusobno nisu previše povezane. To je ono što bi trebalo da se pojavljuje kao statistika u poluvremenu ili za vreme tajm-auta."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "76edc0d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "mala=tabela[['3P%','2P%','DRB','Opp_AST','Opp_DRB','Opp_FG%','Opp_BLK','W']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "15fd615a",
   "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>3P%</th>\n",
       "      <th>2P%</th>\n",
       "      <th>DRB</th>\n",
       "      <th>Opp_AST</th>\n",
       "      <th>Opp_DRB</th>\n",
       "      <th>Opp_FG%</th>\n",
       "      <th>Opp_BLK</th>\n",
       "      <th>W</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3P%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.297874</td>\n",
       "      <td>0.349702</td>\n",
       "      <td>-0.565784</td>\n",
       "      <td>-0.554649</td>\n",
       "      <td>-0.593611</td>\n",
       "      <td>-0.516696</td>\n",
       "      <td>0.786860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2P%</th>\n",
       "      <td>0.297874</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.158661</td>\n",
       "      <td>-0.306513</td>\n",
       "      <td>-0.528892</td>\n",
       "      <td>-0.115427</td>\n",
       "      <td>-0.598041</td>\n",
       "      <td>0.545897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DRB</th>\n",
       "      <td>0.349702</td>\n",
       "      <td>0.158661</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.436206</td>\n",
       "      <td>-0.179588</td>\n",
       "      <td>-0.589244</td>\n",
       "      <td>-0.209387</td>\n",
       "      <td>0.479320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_AST</th>\n",
       "      <td>-0.565784</td>\n",
       "      <td>-0.306513</td>\n",
       "      <td>-0.436206</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.410505</td>\n",
       "      <td>0.535031</td>\n",
       "      <td>0.601274</td>\n",
       "      <td>-0.637009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_DRB</th>\n",
       "      <td>-0.554649</td>\n",
       "      <td>-0.528892</td>\n",
       "      <td>-0.179588</td>\n",
       "      <td>0.410505</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.317247</td>\n",
       "      <td>0.357684</td>\n",
       "      <td>-0.654089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_FG%</th>\n",
       "      <td>-0.593611</td>\n",
       "      <td>-0.115427</td>\n",
       "      <td>-0.589244</td>\n",
       "      <td>0.535031</td>\n",
       "      <td>0.317247</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.384251</td>\n",
       "      <td>-0.671593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opp_BLK</th>\n",
       "      <td>-0.516696</td>\n",
       "      <td>-0.598041</td>\n",
       "      <td>-0.209387</td>\n",
       "      <td>0.601274</td>\n",
       "      <td>0.357684</td>\n",
       "      <td>0.384251</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.741117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W</th>\n",
       "      <td>0.786860</td>\n",
       "      <td>0.545897</td>\n",
       "      <td>0.479320</td>\n",
       "      <td>-0.637009</td>\n",
       "      <td>-0.654089</td>\n",
       "      <td>-0.671593</td>\n",
       "      <td>-0.741117</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              3P%       2P%       DRB   Opp_AST   Opp_DRB   Opp_FG%   Opp_BLK  \\\n",
       "3P%      1.000000  0.297874  0.349702 -0.565784 -0.554649 -0.593611 -0.516696   \n",
       "2P%      0.297874  1.000000  0.158661 -0.306513 -0.528892 -0.115427 -0.598041   \n",
       "DRB      0.349702  0.158661  1.000000 -0.436206 -0.179588 -0.589244 -0.209387   \n",
       "Opp_AST -0.565784 -0.306513 -0.436206  1.000000  0.410505  0.535031  0.601274   \n",
       "Opp_DRB -0.554649 -0.528892 -0.179588  0.410505  1.000000  0.317247  0.357684   \n",
       "Opp_FG% -0.593611 -0.115427 -0.589244  0.535031  0.317247  1.000000  0.384251   \n",
       "Opp_BLK -0.516696 -0.598041 -0.209387  0.601274  0.357684  0.384251  1.000000   \n",
       "W        0.786860  0.545897  0.479320 -0.637009 -0.654089 -0.671593 -0.741117   \n",
       "\n",
       "                W  \n",
       "3P%      0.786860  \n",
       "2P%      0.545897  \n",
       "DRB      0.479320  \n",
       "Opp_AST -0.637009  \n",
       "Opp_DRB -0.654089  \n",
       "Opp_FG% -0.671593  \n",
       "Opp_BLK -0.741117  \n",
       "W        1.000000  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mala.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "78b2356c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mkor = mala.corr()\n",
    "plt.subplots(figsize=(15,10))\n",
    "sns.heatmap(mkor, xticklabels=mkor.columns, yticklabels=mkor.columns, annot=True, cmap=sns.diverging_palette(220, 20, as_cmap=True))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}