k-mean-fifa22.ipynb

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     "text": [
      "/kaggle/input/fifa-22-complete-player-dataset/female_players_17.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/female_players_20.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/players_15.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/players_16.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/Career Mode female player datasets - FIFA 16-22.xlsx\n",
      "/kaggle/input/fifa-22-complete-player-dataset/players_17.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/players_18.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/players_19.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/female_players_16.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/players_22.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/female_players_18.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/players_21.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/female_players_19.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/female_players_22.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/female_players_21.csv\n",
      "/kaggle/input/fifa-22-complete-player-dataset/Career Mode player datasets - FIFA 15-22.xlsx\n",
      "/kaggle/input/fifa-22-complete-player-dataset/players_20.csv\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
   ]
  },
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     "text": [
      "/opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3552: DtypeWarning: Columns (25,108) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    }
   ],
   "source": [
    "data=pd.read_csv(\"/kaggle/input/fifa-22-complete-player-dataset/players_22.csv\")"
   ]
  },
  {
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   "id": "06dbf12b",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sofifa_id</th>\n",
       "      <th>player_url</th>\n",
       "      <th>short_name</th>\n",
       "      <th>long_name</th>\n",
       "      <th>player_positions</th>\n",
       "      <th>overall</th>\n",
       "      <th>potential</th>\n",
       "      <th>value_eur</th>\n",
       "      <th>wage_eur</th>\n",
       "      <th>age</th>\n",
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       "      <th>cb</th>\n",
       "      <th>rcb</th>\n",
       "      <th>rb</th>\n",
       "      <th>gk</th>\n",
       "      <th>player_face_url</th>\n",
       "      <th>club_logo_url</th>\n",
       "      <th>club_flag_url</th>\n",
       "      <th>nation_logo_url</th>\n",
       "      <th>nation_flag_url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>158023</td>\n",
       "      <td>https://sofifa.com/player/158023/lionel-messi/...</td>\n",
       "      <td>L. Messi</td>\n",
       "      <td>Lionel Andrés Messi Cuccittini</td>\n",
       "      <td>RW, ST, CF</td>\n",
       "      <td>93</td>\n",
       "      <td>93</td>\n",
       "      <td>78000000.0</td>\n",
       "      <td>320000.0</td>\n",
       "      <td>34</td>\n",
       "      <td>...</td>\n",
       "      <td>50+3</td>\n",
       "      <td>50+3</td>\n",
       "      <td>50+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>19+3</td>\n",
       "      <td>https://cdn.sofifa.net/players/158/023/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/73/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/fr.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/1369/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/ar.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>188545</td>\n",
       "      <td>https://sofifa.com/player/188545/robert-lewand...</td>\n",
       "      <td>R. Lewandowski</td>\n",
       "      <td>Robert Lewandowski</td>\n",
       "      <td>ST</td>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "      <td>119500000.0</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>32</td>\n",
       "      <td>...</td>\n",
       "      <td>60+3</td>\n",
       "      <td>60+3</td>\n",
       "      <td>60+3</td>\n",
       "      <td>61+3</td>\n",
       "      <td>19+3</td>\n",
       "      <td>https://cdn.sofifa.net/players/188/545/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/21/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/de.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/1353/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/pl.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20801</td>\n",
       "      <td>https://sofifa.com/player/20801/c-ronaldo-dos-...</td>\n",
       "      <td>Cristiano Ronaldo</td>\n",
       "      <td>Cristiano Ronaldo dos Santos Aveiro</td>\n",
       "      <td>ST, LW</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>45000000.0</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>36</td>\n",
       "      <td>...</td>\n",
       "      <td>53+3</td>\n",
       "      <td>53+3</td>\n",
       "      <td>53+3</td>\n",
       "      <td>60+3</td>\n",
       "      <td>20+3</td>\n",
       "      <td>https://cdn.sofifa.net/players/020/801/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/11/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/gb-eng.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/1354/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/pt.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>190871</td>\n",
       "      <td>https://sofifa.com/player/190871/neymar-da-sil...</td>\n",
       "      <td>Neymar Jr</td>\n",
       "      <td>Neymar da Silva Santos Júnior</td>\n",
       "      <td>LW, CAM</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>129000000.0</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>29</td>\n",
       "      <td>...</td>\n",
       "      <td>50+3</td>\n",
       "      <td>50+3</td>\n",
       "      <td>50+3</td>\n",
       "      <td>62+3</td>\n",
       "      <td>20+3</td>\n",
       "      <td>https://cdn.sofifa.net/players/190/871/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/73/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/fr.png</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://cdn.sofifa.net/flags/br.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>192985</td>\n",
       "      <td>https://sofifa.com/player/192985/kevin-de-bruy...</td>\n",
       "      <td>K. De Bruyne</td>\n",
       "      <td>Kevin De Bruyne</td>\n",
       "      <td>CM, CAM</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>125500000.0</td>\n",
       "      <td>350000.0</td>\n",
       "      <td>30</td>\n",
       "      <td>...</td>\n",
       "      <td>69+3</td>\n",
       "      <td>69+3</td>\n",
       "      <td>69+3</td>\n",
       "      <td>75+3</td>\n",
       "      <td>21+3</td>\n",
       "      <td>https://cdn.sofifa.net/players/192/985/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/10/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/gb-eng.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/1325/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/be.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19234</th>\n",
       "      <td>261962</td>\n",
       "      <td>https://sofifa.com/player/261962/defu-song/220002</td>\n",
       "      <td>Song Defu</td>\n",
       "      <td>宋德福</td>\n",
       "      <td>CDM</td>\n",
       "      <td>47</td>\n",
       "      <td>52</td>\n",
       "      <td>70000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>22</td>\n",
       "      <td>...</td>\n",
       "      <td>46+2</td>\n",
       "      <td>46+2</td>\n",
       "      <td>46+2</td>\n",
       "      <td>48+2</td>\n",
       "      <td>15+2</td>\n",
       "      <td>https://cdn.sofifa.net/players/261/962/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/112541/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/cn.png</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://cdn.sofifa.net/flags/cn.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19235</th>\n",
       "      <td>262040</td>\n",
       "      <td>https://sofifa.com/player/262040/caoimhin-port...</td>\n",
       "      <td>C. Porter</td>\n",
       "      <td>Caoimhin Porter</td>\n",
       "      <td>CM</td>\n",
       "      <td>47</td>\n",
       "      <td>59</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>44+2</td>\n",
       "      <td>44+2</td>\n",
       "      <td>44+2</td>\n",
       "      <td>48+2</td>\n",
       "      <td>14+2</td>\n",
       "      <td>https://cdn.sofifa.net/players/262/040/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/445/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/ie.png</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://cdn.sofifa.net/flags/ie.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19236</th>\n",
       "      <td>262760</td>\n",
       "      <td>https://sofifa.com/player/262760/nathan-logue/...</td>\n",
       "      <td>N. Logue</td>\n",
       "      <td>Nathan Logue-Cunningham</td>\n",
       "      <td>CM</td>\n",
       "      <td>47</td>\n",
       "      <td>55</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>21</td>\n",
       "      <td>...</td>\n",
       "      <td>45+2</td>\n",
       "      <td>45+2</td>\n",
       "      <td>45+2</td>\n",
       "      <td>47+2</td>\n",
       "      <td>12+2</td>\n",
       "      <td>https://cdn.sofifa.net/players/262/760/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/111131/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/ie.png</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://cdn.sofifa.net/flags/ie.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19237</th>\n",
       "      <td>262820</td>\n",
       "      <td>https://sofifa.com/player/262820/luke-rudden/2...</td>\n",
       "      <td>L. Rudden</td>\n",
       "      <td>Luke Rudden</td>\n",
       "      <td>ST</td>\n",
       "      <td>47</td>\n",
       "      <td>60</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>26+2</td>\n",
       "      <td>26+2</td>\n",
       "      <td>26+2</td>\n",
       "      <td>32+2</td>\n",
       "      <td>15+2</td>\n",
       "      <td>https://cdn.sofifa.net/players/262/820/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/111131/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/ie.png</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://cdn.sofifa.net/flags/ie.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19238</th>\n",
       "      <td>264540</td>\n",
       "      <td>https://sofifa.com/player/264540/emanuel-lalch...</td>\n",
       "      <td>E. Lalchhanchhuaha</td>\n",
       "      <td>Emanuel Lalchhanchhuaha</td>\n",
       "      <td>CAM</td>\n",
       "      <td>47</td>\n",
       "      <td>60</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>41+2</td>\n",
       "      <td>41+2</td>\n",
       "      <td>41+2</td>\n",
       "      <td>45+2</td>\n",
       "      <td>16+2</td>\n",
       "      <td>https://cdn.sofifa.net/players/264/540/22_120.png</td>\n",
       "      <td>https://cdn.sofifa.net/teams/113040/60.png</td>\n",
       "      <td>https://cdn.sofifa.net/flags/in.png</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://cdn.sofifa.net/flags/in.png</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19239 rows × 110 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       sofifa_id                                         player_url  \\\n",
       "0         158023  https://sofifa.com/player/158023/lionel-messi/...   \n",
       "1         188545  https://sofifa.com/player/188545/robert-lewand...   \n",
       "2          20801  https://sofifa.com/player/20801/c-ronaldo-dos-...   \n",
       "3         190871  https://sofifa.com/player/190871/neymar-da-sil...   \n",
       "4         192985  https://sofifa.com/player/192985/kevin-de-bruy...   \n",
       "...          ...                                                ...   \n",
       "19234     261962  https://sofifa.com/player/261962/defu-song/220002   \n",
       "19235     262040  https://sofifa.com/player/262040/caoimhin-port...   \n",
       "19236     262760  https://sofifa.com/player/262760/nathan-logue/...   \n",
       "19237     262820  https://sofifa.com/player/262820/luke-rudden/2...   \n",
       "19238     264540  https://sofifa.com/player/264540/emanuel-lalch...   \n",
       "\n",
       "               short_name                            long_name  \\\n",
       "0                L. Messi       Lionel Andrés Messi Cuccittini   \n",
       "1          R. Lewandowski                   Robert Lewandowski   \n",
       "2       Cristiano Ronaldo  Cristiano Ronaldo dos Santos Aveiro   \n",
       "3               Neymar Jr        Neymar da Silva Santos Júnior   \n",
       "4            K. De Bruyne                      Kevin De Bruyne   \n",
       "...                   ...                                  ...   \n",
       "19234           Song Defu                                  宋德福   \n",
       "19235           C. Porter                      Caoimhin Porter   \n",
       "19236            N. Logue              Nathan Logue-Cunningham   \n",
       "19237           L. Rudden                          Luke Rudden   \n",
       "19238  E. Lalchhanchhuaha              Emanuel Lalchhanchhuaha   \n",
       "\n",
       "      player_positions  overall  potential    value_eur  wage_eur  age  ...  \\\n",
       "0           RW, ST, CF       93         93   78000000.0  320000.0   34  ...   \n",
       "1                   ST       92         92  119500000.0  270000.0   32  ...   \n",
       "2               ST, LW       91         91   45000000.0  270000.0   36  ...   \n",
       "3              LW, CAM       91         91  129000000.0  270000.0   29  ...   \n",
       "4              CM, CAM       91         91  125500000.0  350000.0   30  ...   \n",
       "...                ...      ...        ...          ...       ...  ...  ...   \n",
       "19234              CDM       47         52      70000.0    1000.0   22  ...   \n",
       "19235               CM       47         59     110000.0     500.0   19  ...   \n",
       "19236               CM       47         55     100000.0     500.0   21  ...   \n",
       "19237               ST       47         60     110000.0     500.0   19  ...   \n",
       "19238              CAM       47         60     110000.0     500.0   19  ...   \n",
       "\n",
       "        lcb    cb   rcb    rb    gk  \\\n",
       "0      50+3  50+3  50+3  61+3  19+3   \n",
       "1      60+3  60+3  60+3  61+3  19+3   \n",
       "2      53+3  53+3  53+3  60+3  20+3   \n",
       "3      50+3  50+3  50+3  62+3  20+3   \n",
       "4      69+3  69+3  69+3  75+3  21+3   \n",
       "...     ...   ...   ...   ...   ...   \n",
       "19234  46+2  46+2  46+2  48+2  15+2   \n",
       "19235  44+2  44+2  44+2  48+2  14+2   \n",
       "19236  45+2  45+2  45+2  47+2  12+2   \n",
       "19237  26+2  26+2  26+2  32+2  15+2   \n",
       "19238  41+2  41+2  41+2  45+2  16+2   \n",
       "\n",
       "                                         player_face_url  \\\n",
       "0      https://cdn.sofifa.net/players/158/023/22_120.png   \n",
       "1      https://cdn.sofifa.net/players/188/545/22_120.png   \n",
       "2      https://cdn.sofifa.net/players/020/801/22_120.png   \n",
       "3      https://cdn.sofifa.net/players/190/871/22_120.png   \n",
       "4      https://cdn.sofifa.net/players/192/985/22_120.png   \n",
       "...                                                  ...   \n",
       "19234  https://cdn.sofifa.net/players/261/962/22_120.png   \n",
       "19235  https://cdn.sofifa.net/players/262/040/22_120.png   \n",
       "19236  https://cdn.sofifa.net/players/262/760/22_120.png   \n",
       "19237  https://cdn.sofifa.net/players/262/820/22_120.png   \n",
       "19238  https://cdn.sofifa.net/players/264/540/22_120.png   \n",
       "\n",
       "                                    club_logo_url  \\\n",
       "0          https://cdn.sofifa.net/teams/73/60.png   \n",
       "1          https://cdn.sofifa.net/teams/21/60.png   \n",
       "2          https://cdn.sofifa.net/teams/11/60.png   \n",
       "3          https://cdn.sofifa.net/teams/73/60.png   \n",
       "4          https://cdn.sofifa.net/teams/10/60.png   \n",
       "...                                           ...   \n",
       "19234  https://cdn.sofifa.net/teams/112541/60.png   \n",
       "19235     https://cdn.sofifa.net/teams/445/60.png   \n",
       "19236  https://cdn.sofifa.net/teams/111131/60.png   \n",
       "19237  https://cdn.sofifa.net/teams/111131/60.png   \n",
       "19238  https://cdn.sofifa.net/teams/113040/60.png   \n",
       "\n",
       "                                 club_flag_url  \\\n",
       "0          https://cdn.sofifa.net/flags/fr.png   \n",
       "1          https://cdn.sofifa.net/flags/de.png   \n",
       "2      https://cdn.sofifa.net/flags/gb-eng.png   \n",
       "3          https://cdn.sofifa.net/flags/fr.png   \n",
       "4      https://cdn.sofifa.net/flags/gb-eng.png   \n",
       "...                                        ...   \n",
       "19234      https://cdn.sofifa.net/flags/cn.png   \n",
       "19235      https://cdn.sofifa.net/flags/ie.png   \n",
       "19236      https://cdn.sofifa.net/flags/ie.png   \n",
       "19237      https://cdn.sofifa.net/flags/ie.png   \n",
       "19238      https://cdn.sofifa.net/flags/in.png   \n",
       "\n",
       "                                nation_logo_url  \\\n",
       "0      https://cdn.sofifa.net/teams/1369/60.png   \n",
       "1      https://cdn.sofifa.net/teams/1353/60.png   \n",
       "2      https://cdn.sofifa.net/teams/1354/60.png   \n",
       "3                                           NaN   \n",
       "4      https://cdn.sofifa.net/teams/1325/60.png   \n",
       "...                                         ...   \n",
       "19234                                       NaN   \n",
       "19235                                       NaN   \n",
       "19236                                       NaN   \n",
       "19237                                       NaN   \n",
       "19238                                       NaN   \n",
       "\n",
       "                           nation_flag_url  \n",
       "0      https://cdn.sofifa.net/flags/ar.png  \n",
       "1      https://cdn.sofifa.net/flags/pl.png  \n",
       "2      https://cdn.sofifa.net/flags/pt.png  \n",
       "3      https://cdn.sofifa.net/flags/br.png  \n",
       "4      https://cdn.sofifa.net/flags/be.png  \n",
       "...                                    ...  \n",
       "19234  https://cdn.sofifa.net/flags/cn.png  \n",
       "19235  https://cdn.sofifa.net/flags/ie.png  \n",
       "19236  https://cdn.sofifa.net/flags/ie.png  \n",
       "19237  https://cdn.sofifa.net/flags/ie.png  \n",
       "19238  https://cdn.sofifa.net/flags/in.png  \n",
       "\n",
       "[19239 rows x 110 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "48184731",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.314804Z",
     "iopub.status.busy": "2023-01-17T16:32:19.312538Z",
     "iopub.status.idle": "2023-01-17T16:32:19.562194Z",
     "shell.execute_reply": "2023-01-17T16:32:19.561063Z"
    },
    "papermill": {
     "duration": 0.263058,
     "end_time": "2023-01-17T16:32:19.566539",
     "exception": false,
     "start_time": "2023-01-17T16:32:19.303481",
     "status": "completed"
    },
    "tags": []
   },
   "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>sofifa_id</th>\n",
       "      <th>overall</th>\n",
       "      <th>potential</th>\n",
       "      <th>value_eur</th>\n",
       "      <th>wage_eur</th>\n",
       "      <th>age</th>\n",
       "      <th>height_cm</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>club_team_id</th>\n",
       "      <th>league_level</th>\n",
       "      <th>...</th>\n",
       "      <th>mentality_composure</th>\n",
       "      <th>defending_marking_awareness</th>\n",
       "      <th>defending_standing_tackle</th>\n",
       "      <th>defending_sliding_tackle</th>\n",
       "      <th>goalkeeping_diving</th>\n",
       "      <th>goalkeeping_handling</th>\n",
       "      <th>goalkeeping_kicking</th>\n",
       "      <th>goalkeeping_positioning</th>\n",
       "      <th>goalkeeping_reflexes</th>\n",
       "      <th>goalkeeping_speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sofifa_id</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.491523</td>\n",
       "      <td>0.037576</td>\n",
       "      <td>-0.128102</td>\n",
       "      <td>-0.253044</td>\n",
       "      <td>-0.781023</td>\n",
       "      <td>-0.100362</td>\n",
       "      <td>-0.207461</td>\n",
       "      <td>0.110305</td>\n",
       "      <td>-0.036769</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.420836</td>\n",
       "      <td>-0.161311</td>\n",
       "      <td>-0.094413</td>\n",
       "      <td>-0.078453</td>\n",
       "      <td>-0.105188</td>\n",
       "      <td>-0.108329</td>\n",
       "      <td>-0.106830</td>\n",
       "      <td>-0.114416</td>\n",
       "      <td>-0.106377</td>\n",
       "      <td>-0.431193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>overall</th>\n",
       "      <td>-0.491523</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.644275</td>\n",
       "      <td>0.554684</td>\n",
       "      <td>0.601764</td>\n",
       "      <td>0.459451</td>\n",
       "      <td>0.042787</td>\n",
       "      <td>0.150324</td>\n",
       "      <td>-0.226640</td>\n",
       "      <td>-0.179032</td>\n",
       "      <td>...</td>\n",
       "      <td>0.708867</td>\n",
       "      <td>0.312093</td>\n",
       "      <td>0.259773</td>\n",
       "      <td>0.233589</td>\n",
       "      <td>-0.010990</td>\n",
       "      <td>-0.011080</td>\n",
       "      <td>-0.012986</td>\n",
       "      <td>-0.002485</td>\n",
       "      <td>-0.007960</td>\n",
       "      <td>0.499533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>potential</th>\n",
       "      <td>0.037576</td>\n",
       "      <td>0.644275</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.527738</td>\n",
       "      <td>0.497611</td>\n",
       "      <td>-0.264142</td>\n",
       "      <td>0.004403</td>\n",
       "      <td>-0.016912</td>\n",
       "      <td>-0.330928</td>\n",
       "      <td>-0.153075</td>\n",
       "      <td>...</td>\n",
       "      <td>0.426790</td>\n",
       "      <td>0.161288</td>\n",
       "      <td>0.156649</td>\n",
       "      <td>0.140869</td>\n",
       "      <td>-0.043093</td>\n",
       "      <td>-0.044989</td>\n",
       "      <td>-0.047030</td>\n",
       "      <td>-0.040184</td>\n",
       "      <td>-0.042383</td>\n",
       "      <td>0.230408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>value_eur</th>\n",
       "      <td>-0.128102</td>\n",
       "      <td>0.554684</td>\n",
       "      <td>0.527738</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.823527</td>\n",
       "      <td>0.042886</td>\n",
       "      <td>0.010291</td>\n",
       "      <td>0.035188</td>\n",
       "      <td>-0.191468</td>\n",
       "      <td>-0.117917</td>\n",
       "      <td>...</td>\n",
       "      <td>0.389065</td>\n",
       "      <td>0.140981</td>\n",
       "      <td>0.120724</td>\n",
       "      <td>0.103512</td>\n",
       "      <td>-0.022090</td>\n",
       "      <td>-0.022474</td>\n",
       "      <td>-0.021599</td>\n",
       "      <td>-0.021292</td>\n",
       "      <td>-0.019929</td>\n",
       "      <td>0.204340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wage_eur</th>\n",
       "      <td>-0.253044</td>\n",
       "      <td>0.601764</td>\n",
       "      <td>0.497611</td>\n",
       "      <td>0.823527</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.158490</td>\n",
       "      <td>0.028062</td>\n",
       "      <td>0.066208</td>\n",
       "      <td>-0.240514</td>\n",
       "      <td>-0.126592</td>\n",
       "      <td>...</td>\n",
       "      <td>0.437174</td>\n",
       "      <td>0.169093</td>\n",
       "      <td>0.144442</td>\n",
       "      <td>0.125646</td>\n",
       "      <td>-0.024234</td>\n",
       "      <td>-0.024443</td>\n",
       "      <td>-0.024328</td>\n",
       "      <td>-0.022675</td>\n",
       "      <td>-0.022762</td>\n",
       "      <td>0.280131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>-0.781023</td>\n",
       "      <td>0.459451</td>\n",
       "      <td>-0.264142</td>\n",
       "      <td>0.042886</td>\n",
       "      <td>0.158490</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.083009</td>\n",
       "      <td>0.239444</td>\n",
       "      <td>0.089276</td>\n",
       "      <td>-0.054432</td>\n",
       "      <td>...</td>\n",
       "      <td>0.359076</td>\n",
       "      <td>0.163583</td>\n",
       "      <td>0.101713</td>\n",
       "      <td>0.089482</td>\n",
       "      <td>0.109490</td>\n",
       "      <td>0.112420</td>\n",
       "      <td>0.112025</td>\n",
       "      <td>0.120686</td>\n",
       "      <td>0.111281</td>\n",
       "      <td>0.401871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>height_cm</th>\n",
       "      <td>-0.100362</td>\n",
       "      <td>0.042787</td>\n",
       "      <td>0.004403</td>\n",
       "      <td>0.010291</td>\n",
       "      <td>0.028062</td>\n",
       "      <td>0.083009</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.765465</td>\n",
       "      <td>-0.136575</td>\n",
       "      <td>0.067772</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.160637</td>\n",
       "      <td>-0.088498</td>\n",
       "      <td>-0.095297</td>\n",
       "      <td>-0.095280</td>\n",
       "      <td>0.371105</td>\n",
       "      <td>0.368482</td>\n",
       "      <td>0.366948</td>\n",
       "      <td>0.368452</td>\n",
       "      <td>0.368354</td>\n",
       "      <td>-0.039549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight_kg</th>\n",
       "      <td>-0.207461</td>\n",
       "      <td>0.150324</td>\n",
       "      <td>-0.016912</td>\n",
       "      <td>0.035188</td>\n",
       "      <td>0.066208</td>\n",
       "      <td>0.239444</td>\n",
       "      <td>0.765465</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.072116</td>\n",
       "      <td>0.015369</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.065075</td>\n",
       "      <td>-0.064124</td>\n",
       "      <td>-0.082212</td>\n",
       "      <td>-0.084719</td>\n",
       "      <td>0.343334</td>\n",
       "      <td>0.341250</td>\n",
       "      <td>0.341570</td>\n",
       "      <td>0.344672</td>\n",
       "      <td>0.343082</td>\n",
       "      <td>0.070521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>club_team_id</th>\n",
       "      <td>0.110305</td>\n",
       "      <td>-0.226640</td>\n",
       "      <td>-0.330928</td>\n",
       "      <td>-0.191468</td>\n",
       "      <td>-0.240514</td>\n",
       "      <td>0.089276</td>\n",
       "      <td>-0.136575</td>\n",
       "      <td>-0.072116</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.135896</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.182012</td>\n",
       "      <td>-0.067830</td>\n",
       "      <td>-0.061627</td>\n",
       "      <td>-0.054919</td>\n",
       "      <td>-0.007821</td>\n",
       "      <td>-0.007583</td>\n",
       "      <td>-0.007809</td>\n",
       "      <td>-0.007436</td>\n",
       "      <td>-0.004981</td>\n",
       "      <td>-0.124850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>league_level</th>\n",
       "      <td>-0.036769</td>\n",
       "      <td>-0.179032</td>\n",
       "      <td>-0.153075</td>\n",
       "      <td>-0.117917</td>\n",
       "      <td>-0.126592</td>\n",
       "      <td>-0.054432</td>\n",
       "      <td>0.067772</td>\n",
       "      <td>0.015369</td>\n",
       "      <td>-0.135896</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.101894</td>\n",
       "      <td>-0.034126</td>\n",
       "      <td>-0.033357</td>\n",
       "      <td>-0.031869</td>\n",
       "      <td>-0.013638</td>\n",
       "      <td>-0.011085</td>\n",
       "      <td>-0.015981</td>\n",
       "      <td>-0.014194</td>\n",
       "      <td>-0.014287</td>\n",
       "      <td>0.003394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>club_jersey_number</th>\n",
       "      <td>0.183841</td>\n",
       "      <td>-0.186166</td>\n",
       "      <td>0.009784</td>\n",
       "      <td>-0.067670</td>\n",
       "      <td>-0.069797</td>\n",
       "      <td>-0.209275</td>\n",
       "      <td>-0.019351</td>\n",
       "      <td>-0.055049</td>\n",
       "      <td>0.008801</td>\n",
       "      <td>-0.100427</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.130962</td>\n",
       "      <td>-0.127622</td>\n",
       "      <td>-0.105673</td>\n",
       "      <td>-0.098833</td>\n",
       "      <td>0.005476</td>\n",
       "      <td>0.004407</td>\n",
       "      <td>0.006767</td>\n",
       "      <td>0.003077</td>\n",
       "      <td>0.005504</td>\n",
       "      <td>-0.152304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>club_contract_valid_until</th>\n",
       "      <td>0.128058</td>\n",
       "      <td>0.184987</td>\n",
       "      <td>0.345188</td>\n",
       "      <td>0.217051</td>\n",
       "      <td>0.187222</td>\n",
       "      <td>-0.216373</td>\n",
       "      <td>0.023709</td>\n",
       "      <td>-0.020857</td>\n",
       "      <td>-0.176346</td>\n",
       "      <td>-0.059608</td>\n",
       "      <td>...</td>\n",
       "      <td>0.113927</td>\n",
       "      <td>0.027939</td>\n",
       "      <td>0.039206</td>\n",
       "      <td>0.037511</td>\n",
       "      <td>-0.024793</td>\n",
       "      <td>-0.023200</td>\n",
       "      <td>-0.026271</td>\n",
       "      <td>-0.024127</td>\n",
       "      <td>-0.020682</td>\n",
       "      <td>0.023497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nationality_id</th>\n",
       "      <td>0.065832</td>\n",
       "      <td>-0.168315</td>\n",
       "      <td>-0.247198</td>\n",
       "      <td>-0.083983</td>\n",
       "      <td>-0.092472</td>\n",
       "      <td>0.060287</td>\n",
       "      <td>-0.154496</td>\n",
       "      <td>-0.122715</td>\n",
       "      <td>0.314466</td>\n",
       "      <td>-0.264260</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.113387</td>\n",
       "      <td>-0.046589</td>\n",
       "      <td>-0.047333</td>\n",
       "      <td>-0.044683</td>\n",
       "      <td>-0.020341</td>\n",
       "      <td>-0.022797</td>\n",
       "      <td>-0.020545</td>\n",
       "      <td>-0.022489</td>\n",
       "      <td>-0.021077</td>\n",
       "      <td>-0.041585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nation_team_id</th>\n",
       "      <td>-0.009138</td>\n",
       "      <td>-0.214303</td>\n",
       "      <td>-0.185054</td>\n",
       "      <td>-0.084325</td>\n",
       "      <td>-0.105601</td>\n",
       "      <td>-0.006803</td>\n",
       "      <td>-0.000944</td>\n",
       "      <td>0.014342</td>\n",
       "      <td>0.034619</td>\n",
       "      <td>0.198935</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.107502</td>\n",
       "      <td>-0.027178</td>\n",
       "      <td>-0.019121</td>\n",
       "      <td>-0.023927</td>\n",
       "      <td>-0.003965</td>\n",
       "      <td>-0.014385</td>\n",
       "      <td>-0.023248</td>\n",
       "      <td>-0.010812</td>\n",
       "      <td>-0.006469</td>\n",
       "      <td>0.075884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nation_jersey_number</th>\n",
       "      <td>0.179041</td>\n",
       "      <td>-0.116020</td>\n",
       "      <td>-0.027984</td>\n",
       "      <td>-0.017193</td>\n",
       "      <td>-0.100610</td>\n",
       "      <td>-0.192085</td>\n",
       "      <td>-0.118637</td>\n",
       "      <td>-0.136937</td>\n",
       "      <td>-0.006525</td>\n",
       "      <td>0.011087</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.031197</td>\n",
       "      <td>-0.098356</td>\n",
       "      <td>-0.090533</td>\n",
       "      <td>-0.095395</td>\n",
       "      <td>-0.076118</td>\n",
       "      <td>-0.077242</td>\n",
       "      <td>-0.074584</td>\n",
       "      <td>-0.077627</td>\n",
       "      <td>-0.074295</td>\n",
       "      <td>0.016084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weak_foot</th>\n",
       "      <td>-0.121359</td>\n",
       "      <td>0.223762</td>\n",
       "      <td>0.157053</td>\n",
       "      <td>0.149757</td>\n",
       "      <td>0.160240</td>\n",
       "      <td>0.082149</td>\n",
       "      <td>-0.158167</td>\n",
       "      <td>-0.115391</td>\n",
       "      <td>-0.082300</td>\n",
       "      <td>-0.014728</td>\n",
       "      <td>...</td>\n",
       "      <td>0.310196</td>\n",
       "      <td>0.066358</td>\n",
       "      <td>0.040775</td>\n",
       "      <td>0.022701</td>\n",
       "      <td>-0.218797</td>\n",
       "      <td>-0.219986</td>\n",
       "      <td>-0.213778</td>\n",
       "      <td>-0.217013</td>\n",
       "      <td>-0.220583</td>\n",
       "      <td>0.133903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skill_moves</th>\n",
       "      <td>-0.139709</td>\n",
       "      <td>0.376226</td>\n",
       "      <td>0.283746</td>\n",
       "      <td>0.257232</td>\n",
       "      <td>0.272319</td>\n",
       "      <td>0.074076</td>\n",
       "      <td>-0.411341</td>\n",
       "      <td>-0.336606</td>\n",
       "      <td>-0.092031</td>\n",
       "      <td>-0.062234</td>\n",
       "      <td>...</td>\n",
       "      <td>0.605913</td>\n",
       "      <td>0.234671</td>\n",
       "      <td>0.212201</td>\n",
       "      <td>0.177433</td>\n",
       "      <td>-0.604961</td>\n",
       "      <td>-0.603081</td>\n",
       "      <td>-0.601639</td>\n",
       "      <td>-0.601882</td>\n",
       "      <td>-0.603274</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>international_reputation</th>\n",
       "      <td>-0.334292</td>\n",
       "      <td>0.470647</td>\n",
       "      <td>0.357283</td>\n",
       "      <td>0.632181</td>\n",
       "      <td>0.675637</td>\n",
       "      <td>0.231927</td>\n",
       "      <td>0.042307</td>\n",
       "      <td>0.088295</td>\n",
       "      <td>-0.149507</td>\n",
       "      <td>-0.104759</td>\n",
       "      <td>...</td>\n",
       "      <td>0.359590</td>\n",
       "      <td>0.117369</td>\n",
       "      <td>0.093238</td>\n",
       "      <td>0.078554</td>\n",
       "      <td>0.010809</td>\n",
       "      <td>0.011323</td>\n",
       "      <td>0.010635</td>\n",
       "      <td>0.013831</td>\n",
       "      <td>0.012639</td>\n",
       "      <td>0.217452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_clause_eur</th>\n",
       "      <td>-0.113962</td>\n",
       "      <td>0.545197</td>\n",
       "      <td>0.537715</td>\n",
       "      <td>0.995460</td>\n",
       "      <td>0.821330</td>\n",
       "      <td>0.028284</td>\n",
       "      <td>0.010829</td>\n",
       "      <td>0.031126</td>\n",
       "      <td>-0.196273</td>\n",
       "      <td>-0.114199</td>\n",
       "      <td>...</td>\n",
       "      <td>0.380114</td>\n",
       "      <td>0.137521</td>\n",
       "      <td>0.119592</td>\n",
       "      <td>0.102487</td>\n",
       "      <td>-0.020457</td>\n",
       "      <td>-0.020767</td>\n",
       "      <td>-0.020493</td>\n",
       "      <td>-0.019848</td>\n",
       "      <td>-0.018358</td>\n",
       "      <td>0.192905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pace</th>\n",
       "      <td>0.162743</td>\n",
       "      <td>0.174695</td>\n",
       "      <td>0.258817</td>\n",
       "      <td>0.181934</td>\n",
       "      <td>0.134479</td>\n",
       "      <td>-0.209383</td>\n",
       "      <td>-0.399614</td>\n",
       "      <td>-0.360537</td>\n",
       "      <td>-0.071066</td>\n",
       "      <td>-0.012761</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090680</td>\n",
       "      <td>-0.280065</td>\n",
       "      <td>-0.282334</td>\n",
       "      <td>-0.273086</td>\n",
       "      <td>-0.023536</td>\n",
       "      <td>-0.013886</td>\n",
       "      <td>-0.011436</td>\n",
       "      <td>-0.029029</td>\n",
       "      <td>-0.015834</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shooting</th>\n",
       "      <td>-0.301698</td>\n",
       "      <td>0.489623</td>\n",
       "      <td>0.287862</td>\n",
       "      <td>0.290294</td>\n",
       "      <td>0.312219</td>\n",
       "      <td>0.249207</td>\n",
       "      <td>-0.190318</td>\n",
       "      <td>-0.087062</td>\n",
       "      <td>-0.111184</td>\n",
       "      <td>-0.079835</td>\n",
       "      <td>...</td>\n",
       "      <td>0.562154</td>\n",
       "      <td>-0.389756</td>\n",
       "      <td>-0.429505</td>\n",
       "      <td>-0.465380</td>\n",
       "      <td>0.023995</td>\n",
       "      <td>0.028926</td>\n",
       "      <td>0.045259</td>\n",
       "      <td>0.033269</td>\n",
       "      <td>0.038602</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>passing</th>\n",
       "      <td>-0.412920</td>\n",
       "      <td>0.715001</td>\n",
       "      <td>0.437655</td>\n",
       "      <td>0.404774</td>\n",
       "      <td>0.438336</td>\n",
       "      <td>0.346893</td>\n",
       "      <td>-0.259754</td>\n",
       "      <td>-0.154743</td>\n",
       "      <td>-0.162502</td>\n",
       "      <td>-0.140896</td>\n",
       "      <td>...</td>\n",
       "      <td>0.721007</td>\n",
       "      <td>0.183582</td>\n",
       "      <td>0.157909</td>\n",
       "      <td>0.123780</td>\n",
       "      <td>0.034174</td>\n",
       "      <td>0.046077</td>\n",
       "      <td>0.043315</td>\n",
       "      <td>0.038797</td>\n",
       "      <td>0.039488</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dribbling</th>\n",
       "      <td>-0.296408</td>\n",
       "      <td>0.666402</td>\n",
       "      <td>0.490270</td>\n",
       "      <td>0.404812</td>\n",
       "      <td>0.421867</td>\n",
       "      <td>0.202410</td>\n",
       "      <td>-0.358324</td>\n",
       "      <td>-0.250922</td>\n",
       "      <td>-0.178576</td>\n",
       "      <td>-0.117785</td>\n",
       "      <td>...</td>\n",
       "      <td>0.674044</td>\n",
       "      <td>-0.108012</td>\n",
       "      <td>-0.140563</td>\n",
       "      <td>-0.167514</td>\n",
       "      <td>0.013868</td>\n",
       "      <td>0.022987</td>\n",
       "      <td>0.032611</td>\n",
       "      <td>0.021025</td>\n",
       "      <td>0.028222</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>defending</th>\n",
       "      <td>-0.234020</td>\n",
       "      <td>0.346760</td>\n",
       "      <td>0.162151</td>\n",
       "      <td>0.147359</td>\n",
       "      <td>0.178856</td>\n",
       "      <td>0.247524</td>\n",
       "      <td>0.199484</td>\n",
       "      <td>0.197474</td>\n",
       "      <td>-0.084653</td>\n",
       "      <td>-0.056326</td>\n",
       "      <td>...</td>\n",
       "      <td>0.221225</td>\n",
       "      <td>0.967674</td>\n",
       "      <td>0.977879</td>\n",
       "      <td>0.963833</td>\n",
       "      <td>0.031852</td>\n",
       "      <td>0.028187</td>\n",
       "      <td>0.023944</td>\n",
       "      <td>0.023819</td>\n",
       "      <td>0.020783</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physic</th>\n",
       "      <td>-0.403516</td>\n",
       "      <td>0.529234</td>\n",
       "      <td>0.155740</td>\n",
       "      <td>0.215105</td>\n",
       "      <td>0.249843</td>\n",
       "      <td>0.443169</td>\n",
       "      <td>0.501150</td>\n",
       "      <td>0.586895</td>\n",
       "      <td>-0.108728</td>\n",
       "      <td>-0.018964</td>\n",
       "      <td>...</td>\n",
       "      <td>0.407062</td>\n",
       "      <td>0.508602</td>\n",
       "      <td>0.470436</td>\n",
       "      <td>0.443152</td>\n",
       "      <td>0.051308</td>\n",
       "      <td>0.048943</td>\n",
       "      <td>0.063305</td>\n",
       "      <td>0.053181</td>\n",
       "      <td>0.050191</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attacking_crossing</th>\n",
       "      <td>-0.166999</td>\n",
       "      <td>0.401356</td>\n",
       "      <td>0.243757</td>\n",
       "      <td>0.227414</td>\n",
       "      <td>0.253123</td>\n",
       "      <td>0.132175</td>\n",
       "      <td>-0.489842</td>\n",
       "      <td>-0.396283</td>\n",
       "      <td>-0.080687</td>\n",
       "      <td>-0.061897</td>\n",
       "      <td>...</td>\n",
       "      <td>0.627092</td>\n",
       "      <td>0.465374</td>\n",
       "      <td>0.452296</td>\n",
       "      <td>0.431552</td>\n",
       "      <td>-0.677740</td>\n",
       "      <td>-0.675595</td>\n",
       "      <td>-0.675874</td>\n",
       "      <td>-0.674395</td>\n",
       "      <td>-0.677035</td>\n",
       "      <td>0.314646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attacking_finishing</th>\n",
       "      <td>-0.126239</td>\n",
       "      <td>0.338746</td>\n",
       "      <td>0.230814</td>\n",
       "      <td>0.217691</td>\n",
       "      <td>0.229687</td>\n",
       "      <td>0.088754</td>\n",
       "      <td>-0.374008</td>\n",
       "      <td>-0.290304</td>\n",
       "      <td>-0.071086</td>\n",
       "      <td>-0.039672</td>\n",
       "      <td>...</td>\n",
       "      <td>0.607211</td>\n",
       "      <td>0.057259</td>\n",
       "      <td>0.026031</td>\n",
       "      <td>-0.014740</td>\n",
       "      <td>-0.605657</td>\n",
       "      <td>-0.604279</td>\n",
       "      <td>-0.601335</td>\n",
       "      <td>-0.601135</td>\n",
       "      <td>-0.603013</td>\n",
       "      <td>0.492809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attacking_heading_accuracy</th>\n",
       "      <td>-0.149084</td>\n",
       "      <td>0.343901</td>\n",
       "      <td>0.192825</td>\n",
       "      <td>0.165921</td>\n",
       "      <td>0.207326</td>\n",
       "      <td>0.154516</td>\n",
       "      <td>0.008762</td>\n",
       "      <td>0.039728</td>\n",
       "      <td>-0.067531</td>\n",
       "      <td>-0.039391</td>\n",
       "      <td>...</td>\n",
       "      <td>0.569060</td>\n",
       "      <td>0.591080</td>\n",
       "      <td>0.566170</td>\n",
       "      <td>0.544579</td>\n",
       "      <td>-0.748750</td>\n",
       "      <td>-0.749095</td>\n",
       "      <td>-0.745486</td>\n",
       "      <td>-0.744552</td>\n",
       "      <td>-0.748794</td>\n",
       "      <td>0.242907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attacking_short_passing</th>\n",
       "      <td>-0.183969</td>\n",
       "      <td>0.516788</td>\n",
       "      <td>0.367162</td>\n",
       "      <td>0.297419</td>\n",
       "      <td>0.324420</td>\n",
       "      <td>0.147374</td>\n",
       "      <td>-0.342883</td>\n",
       "      <td>-0.265814</td>\n",
       "      <td>-0.108832</td>\n",
       "      <td>-0.089889</td>\n",
       "      <td>...</td>\n",
       "      <td>0.758580</td>\n",
       "      <td>0.601361</td>\n",
       "      <td>0.581733</td>\n",
       "      <td>0.547546</td>\n",
       "      <td>-0.743980</td>\n",
       "      <td>-0.741955</td>\n",
       "      <td>-0.738854</td>\n",
       "      <td>-0.738538</td>\n",
       "      <td>-0.742318</td>\n",
       "      <td>0.372554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>attacking_volleys</th>\n",
       "      <td>-0.197351</td>\n",
       "      <td>0.380942</td>\n",
       "      <td>0.235766</td>\n",
       "      <td>0.238366</td>\n",
       "      <td>0.264481</td>\n",
       "      <td>0.148109</td>\n",
       "      <td>-0.344035</td>\n",
       "      <td>-0.255622</td>\n",
       "      <td>-0.085715</td>\n",
       "      <td>-0.054883</td>\n",
       "      <td>...</td>\n",
       "      <td>0.649909</td>\n",
       "      <td>0.132471</td>\n",
       "      <td>0.098025</td>\n",
       "      <td>0.058476</td>\n",
       "      <td>-0.603146</td>\n",
       "      <td>-0.601622</td>\n",
       "      <td>-0.598669</td>\n",
       "      <td>-0.598384</td>\n",
       "      <td>-0.601480</td>\n",
       "      <td>0.472168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skill_dribbling</th>\n",
       "      <td>-0.085064</td>\n",
       "      <td>0.384351</td>\n",
       "      <td>0.311396</td>\n",
       "      <td>0.240916</td>\n",
       "      <td>0.255204</td>\n",
       "      <td>0.030402</td>\n",
       "      <td>-0.477227</td>\n",
       "      <td>-0.397363</td>\n",
       "      <td>-0.100086</td>\n",
       "      <td>-0.052111</td>\n",
       "      <td>...</td>\n",
       "      <td>0.681339</td>\n",
       "      <td>0.376025</td>\n",
       "      <td>0.357133</td>\n",
       "      <td>0.327172</td>\n",
       "      <td>-0.774698</td>\n",
       "      <td>-0.772985</td>\n",
       "      <td>-0.770454</td>\n",
       "      <td>-0.769348</td>\n",
       "      <td>-0.772202</td>\n",
       "      <td>0.453022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skill_curve</th>\n",
       "      <td>-0.212534</td>\n",
       "      <td>0.420423</td>\n",
       "      <td>0.270217</td>\n",
       "      <td>0.252820</td>\n",
       "      <td>0.281428</td>\n",
       "      <td>0.151111</td>\n",
       "      <td>-0.439474</td>\n",
       "      <td>-0.347480</td>\n",
       "      <td>-0.113576</td>\n",
       "      <td>-0.060968</td>\n",
       "      <td>...</td>\n",
       "      <td>0.679928</td>\n",
       "      <td>0.320766</td>\n",
       "      <td>0.296298</td>\n",
       "      <td>0.264291</td>\n",
       "      <td>-0.617081</td>\n",
       "      <td>-0.614950</td>\n",
       "      <td>-0.613142</td>\n",
       "      <td>-0.613709</td>\n",
       "      <td>-0.615694</td>\n",
       "      <td>0.296273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skill_fk_accuracy</th>\n",
       "      <td>-0.230161</td>\n",
       "      <td>0.381030</td>\n",
       "      <td>0.207769</td>\n",
       "      <td>0.214721</td>\n",
       "      <td>0.245725</td>\n",
       "      <td>0.191301</td>\n",
       "      <td>-0.411407</td>\n",
       "      <td>-0.316938</td>\n",
       "      <td>-0.064670</td>\n",
       "      <td>-0.054765</td>\n",
       "      <td>...</td>\n",
       "      <td>0.628787</td>\n",
       "      <td>0.321562</td>\n",
       "      <td>0.304211</td>\n",
       "      <td>0.270130</td>\n",
       "      <td>-0.563347</td>\n",
       "      <td>-0.562174</td>\n",
       "      <td>-0.559885</td>\n",
       "      <td>-0.560211</td>\n",
       "      <td>-0.562838</td>\n",
       "      <td>0.272891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skill_long_passing</th>\n",
       "      <td>-0.229260</td>\n",
       "      <td>0.498216</td>\n",
       "      <td>0.324791</td>\n",
       "      <td>0.278721</td>\n",
       "      <td>0.310768</td>\n",
       "      <td>0.191542</td>\n",
       "      <td>-0.315242</td>\n",
       "      <td>-0.242198</td>\n",
       "      <td>-0.108642</td>\n",
       "      <td>-0.090887</td>\n",
       "      <td>...</td>\n",
       "      <td>0.705187</td>\n",
       "      <td>0.631930</td>\n",
       "      <td>0.620433</td>\n",
       "      <td>0.593760</td>\n",
       "      <td>-0.605294</td>\n",
       "      <td>-0.603459</td>\n",
       "      <td>-0.599891</td>\n",
       "      <td>-0.601133</td>\n",
       "      <td>-0.604873</td>\n",
       "      <td>0.299925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skill_ball_control</th>\n",
       "      <td>-0.142978</td>\n",
       "      <td>0.460411</td>\n",
       "      <td>0.347172</td>\n",
       "      <td>0.269854</td>\n",
       "      <td>0.293376</td>\n",
       "      <td>0.092112</td>\n",
       "      <td>-0.400440</td>\n",
       "      <td>-0.323804</td>\n",
       "      <td>-0.108672</td>\n",
       "      <td>-0.070996</td>\n",
       "      <td>...</td>\n",
       "      <td>0.743459</td>\n",
       "      <td>0.490070</td>\n",
       "      <td>0.465192</td>\n",
       "      <td>0.430614</td>\n",
       "      <td>-0.804037</td>\n",
       "      <td>-0.802568</td>\n",
       "      <td>-0.799088</td>\n",
       "      <td>-0.798632</td>\n",
       "      <td>-0.802410</td>\n",
       "      <td>0.442592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movement_acceleration</th>\n",
       "      <td>0.103243</td>\n",
       "      <td>0.194044</td>\n",
       "      <td>0.232621</td>\n",
       "      <td>0.157690</td>\n",
       "      <td>0.133496</td>\n",
       "      <td>-0.147650</td>\n",
       "      <td>-0.545003</td>\n",
       "      <td>-0.484069</td>\n",
       "      <td>-0.054509</td>\n",
       "      <td>-0.002155</td>\n",
       "      <td>...</td>\n",
       "      <td>0.416577</td>\n",
       "      <td>0.225918</td>\n",
       "      <td>0.214007</td>\n",
       "      <td>0.202282</td>\n",
       "      <td>-0.630308</td>\n",
       "      <td>-0.630237</td>\n",
       "      <td>-0.628466</td>\n",
       "      <td>-0.626919</td>\n",
       "      <td>-0.628307</td>\n",
       "      <td>0.973703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movement_sprint_speed</th>\n",
       "      <td>0.101162</td>\n",
       "      <td>0.205736</td>\n",
       "      <td>0.235577</td>\n",
       "      <td>0.164682</td>\n",
       "      <td>0.142775</td>\n",
       "      <td>-0.139581</td>\n",
       "      <td>-0.452112</td>\n",
       "      <td>-0.400709</td>\n",
       "      <td>-0.062535</td>\n",
       "      <td>-0.002605</td>\n",
       "      <td>...</td>\n",
       "      <td>0.414051</td>\n",
       "      <td>0.243217</td>\n",
       "      <td>0.229074</td>\n",
       "      <td>0.217606</td>\n",
       "      <td>-0.633539</td>\n",
       "      <td>-0.633607</td>\n",
       "      <td>-0.631737</td>\n",
       "      <td>-0.629623</td>\n",
       "      <td>-0.631408</td>\n",
       "      <td>0.938099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movement_agility</th>\n",
       "      <td>-0.059928</td>\n",
       "      <td>0.270279</td>\n",
       "      <td>0.223385</td>\n",
       "      <td>0.176597</td>\n",
       "      <td>0.171261</td>\n",
       "      <td>-0.010749</td>\n",
       "      <td>-0.621258</td>\n",
       "      <td>-0.534689</td>\n",
       "      <td>-0.060817</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>...</td>\n",
       "      <td>0.505192</td>\n",
       "      <td>0.205738</td>\n",
       "      <td>0.183430</td>\n",
       "      <td>0.164887</td>\n",
       "      <td>-0.556989</td>\n",
       "      <td>-0.556642</td>\n",
       "      <td>-0.554608</td>\n",
       "      <td>-0.554221</td>\n",
       "      <td>-0.555851</td>\n",
       "      <td>0.611258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movement_reactions</th>\n",
       "      <td>-0.482973</td>\n",
       "      <td>0.871823</td>\n",
       "      <td>0.522483</td>\n",
       "      <td>0.492741</td>\n",
       "      <td>0.539616</td>\n",
       "      <td>0.453298</td>\n",
       "      <td>0.008080</td>\n",
       "      <td>0.107943</td>\n",
       "      <td>-0.194740</td>\n",
       "      <td>-0.144080</td>\n",
       "      <td>...</td>\n",
       "      <td>0.697543</td>\n",
       "      <td>0.334779</td>\n",
       "      <td>0.281075</td>\n",
       "      <td>0.251561</td>\n",
       "      <td>-0.079749</td>\n",
       "      <td>-0.080684</td>\n",
       "      <td>-0.081403</td>\n",
       "      <td>-0.073168</td>\n",
       "      <td>-0.075885</td>\n",
       "      <td>0.531521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movement_balance</th>\n",
       "      <td>0.015254</td>\n",
       "      <td>0.123700</td>\n",
       "      <td>0.136890</td>\n",
       "      <td>0.117887</td>\n",
       "      <td>0.105672</td>\n",
       "      <td>-0.066938</td>\n",
       "      <td>-0.769273</td>\n",
       "      <td>-0.651952</td>\n",
       "      <td>-0.013923</td>\n",
       "      <td>0.005323</td>\n",
       "      <td>...</td>\n",
       "      <td>0.384773</td>\n",
       "      <td>0.218342</td>\n",
       "      <td>0.211099</td>\n",
       "      <td>0.200700</td>\n",
       "      <td>-0.533571</td>\n",
       "      <td>-0.532446</td>\n",
       "      <td>-0.530836</td>\n",
       "      <td>-0.529101</td>\n",
       "      <td>-0.531232</td>\n",
       "      <td>0.451374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>power_shot_power</th>\n",
       "      <td>-0.327861</td>\n",
       "      <td>0.561180</td>\n",
       "      <td>0.332292</td>\n",
       "      <td>0.301723</td>\n",
       "      <td>0.344529</td>\n",
       "      <td>0.279673</td>\n",
       "      <td>-0.158341</td>\n",
       "      <td>-0.049794</td>\n",
       "      <td>-0.137177</td>\n",
       "      <td>-0.091138</td>\n",
       "      <td>...</td>\n",
       "      <td>0.637367</td>\n",
       "      <td>0.058185</td>\n",
       "      <td>0.017760</td>\n",
       "      <td>-0.016338</td>\n",
       "      <td>-0.275670</td>\n",
       "      <td>-0.275181</td>\n",
       "      <td>-0.266944</td>\n",
       "      <td>-0.271049</td>\n",
       "      <td>-0.273857</td>\n",
       "      <td>0.428526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>power_jumping</th>\n",
       "      <td>-0.222044</td>\n",
       "      <td>0.284689</td>\n",
       "      <td>0.096992</td>\n",
       "      <td>0.118294</td>\n",
       "      <td>0.148923</td>\n",
       "      <td>0.219382</td>\n",
       "      <td>0.013769</td>\n",
       "      <td>0.077792</td>\n",
       "      <td>-0.053567</td>\n",
       "      <td>0.012966</td>\n",
       "      <td>...</td>\n",
       "      <td>0.284075</td>\n",
       "      <td>0.331472</td>\n",
       "      <td>0.301869</td>\n",
       "      <td>0.301937</td>\n",
       "      <td>-0.211172</td>\n",
       "      <td>-0.211013</td>\n",
       "      <td>-0.209847</td>\n",
       "      <td>-0.206477</td>\n",
       "      <td>-0.210721</td>\n",
       "      <td>0.503986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>power_stamina</th>\n",
       "      <td>-0.115509</td>\n",
       "      <td>0.385150</td>\n",
       "      <td>0.199743</td>\n",
       "      <td>0.198771</td>\n",
       "      <td>0.199667</td>\n",
       "      <td>0.131455</td>\n",
       "      <td>-0.285735</td>\n",
       "      <td>-0.219641</td>\n",
       "      <td>-0.059678</td>\n",
       "      <td>-0.004187</td>\n",
       "      <td>...</td>\n",
       "      <td>0.588383</td>\n",
       "      <td>0.623218</td>\n",
       "      <td>0.600894</td>\n",
       "      <td>0.574866</td>\n",
       "      <td>-0.708093</td>\n",
       "      <td>-0.706221</td>\n",
       "      <td>-0.703382</td>\n",
       "      <td>-0.704100</td>\n",
       "      <td>-0.706687</td>\n",
       "      <td>0.558025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>power_strength</th>\n",
       "      <td>-0.305497</td>\n",
       "      <td>0.364366</td>\n",
       "      <td>0.073567</td>\n",
       "      <td>0.128684</td>\n",
       "      <td>0.162081</td>\n",
       "      <td>0.348811</td>\n",
       "      <td>0.531970</td>\n",
       "      <td>0.612221</td>\n",
       "      <td>-0.075555</td>\n",
       "      <td>-0.000563</td>\n",
       "      <td>...</td>\n",
       "      <td>0.301446</td>\n",
       "      <td>0.340599</td>\n",
       "      <td>0.308317</td>\n",
       "      <td>0.290818</td>\n",
       "      <td>-0.120404</td>\n",
       "      <td>-0.122316</td>\n",
       "      <td>-0.119934</td>\n",
       "      <td>-0.116784</td>\n",
       "      <td>-0.120437</td>\n",
       "      <td>0.295173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>power_long_shots</th>\n",
       "      <td>-0.203978</td>\n",
       "      <td>0.410010</td>\n",
       "      <td>0.243294</td>\n",
       "      <td>0.231585</td>\n",
       "      <td>0.257850</td>\n",
       "      <td>0.164977</td>\n",
       "      <td>-0.381169</td>\n",
       "      <td>-0.280976</td>\n",
       "      <td>-0.081708</td>\n",
       "      <td>-0.052395</td>\n",
       "      <td>...</td>\n",
       "      <td>0.674166</td>\n",
       "      <td>0.222339</td>\n",
       "      <td>0.193070</td>\n",
       "      <td>0.152482</td>\n",
       "      <td>-0.618455</td>\n",
       "      <td>-0.616621</td>\n",
       "      <td>-0.613442</td>\n",
       "      <td>-0.612976</td>\n",
       "      <td>-0.616527</td>\n",
       "      <td>0.502635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mentality_aggression</th>\n",
       "      <td>-0.246133</td>\n",
       "      <td>0.400161</td>\n",
       "      <td>0.191501</td>\n",
       "      <td>0.183251</td>\n",
       "      <td>0.225225</td>\n",
       "      <td>0.241968</td>\n",
       "      <td>-0.062410</td>\n",
       "      <td>0.006072</td>\n",
       "      <td>-0.091724</td>\n",
       "      <td>-0.044961</td>\n",
       "      <td>...</td>\n",
       "      <td>0.568585</td>\n",
       "      <td>0.754726</td>\n",
       "      <td>0.748095</td>\n",
       "      <td>0.729947</td>\n",
       "      <td>-0.598693</td>\n",
       "      <td>-0.597210</td>\n",
       "      <td>-0.595690</td>\n",
       "      <td>-0.594173</td>\n",
       "      <td>-0.598106</td>\n",
       "      <td>0.256509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mentality_interceptions</th>\n",
       "      <td>-0.173451</td>\n",
       "      <td>0.316470</td>\n",
       "      <td>0.157728</td>\n",
       "      <td>0.141060</td>\n",
       "      <td>0.170430</td>\n",
       "      <td>0.179112</td>\n",
       "      <td>-0.078812</td>\n",
       "      <td>-0.056168</td>\n",
       "      <td>-0.064082</td>\n",
       "      <td>-0.043990</td>\n",
       "      <td>...</td>\n",
       "      <td>0.428391</td>\n",
       "      <td>0.937470</td>\n",
       "      <td>0.951823</td>\n",
       "      <td>0.940891</td>\n",
       "      <td>-0.509861</td>\n",
       "      <td>-0.509198</td>\n",
       "      <td>-0.509059</td>\n",
       "      <td>-0.507294</td>\n",
       "      <td>-0.510780</td>\n",
       "      <td>0.533131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mentality_positioning</th>\n",
       "      <td>-0.135519</td>\n",
       "      <td>0.358562</td>\n",
       "      <td>0.233070</td>\n",
       "      <td>0.224097</td>\n",
       "      <td>0.240612</td>\n",
       "      <td>0.101573</td>\n",
       "      <td>-0.439659</td>\n",
       "      <td>-0.348210</td>\n",
       "      <td>-0.066980</td>\n",
       "      <td>-0.052336</td>\n",
       "      <td>...</td>\n",
       "      <td>0.653477</td>\n",
       "      <td>0.239840</td>\n",
       "      <td>0.213336</td>\n",
       "      <td>0.177224</td>\n",
       "      <td>-0.701519</td>\n",
       "      <td>-0.699802</td>\n",
       "      <td>-0.696555</td>\n",
       "      <td>-0.695813</td>\n",
       "      <td>-0.698717</td>\n",
       "      <td>0.518545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mentality_vision</th>\n",
       "      <td>-0.267625</td>\n",
       "      <td>0.523025</td>\n",
       "      <td>0.345298</td>\n",
       "      <td>0.324453</td>\n",
       "      <td>0.347141</td>\n",
       "      <td>0.209636</td>\n",
       "      <td>-0.356495</td>\n",
       "      <td>-0.270094</td>\n",
       "      <td>-0.125444</td>\n",
       "      <td>-0.087848</td>\n",
       "      <td>...</td>\n",
       "      <td>0.682060</td>\n",
       "      <td>0.200737</td>\n",
       "      <td>0.170446</td>\n",
       "      <td>0.134847</td>\n",
       "      <td>-0.362421</td>\n",
       "      <td>-0.358788</td>\n",
       "      <td>-0.356522</td>\n",
       "      <td>-0.355112</td>\n",
       "      <td>-0.360038</td>\n",
       "      <td>0.253441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mentality_penalties</th>\n",
       "      <td>-0.182124</td>\n",
       "      <td>0.343690</td>\n",
       "      <td>0.208062</td>\n",
       "      <td>0.196231</td>\n",
       "      <td>0.228939</td>\n",
       "      <td>0.151951</td>\n",
       "      <td>-0.321211</td>\n",
       "      <td>-0.234356</td>\n",
       "      <td>-0.060052</td>\n",
       "      <td>-0.043969</td>\n",
       "      <td>...</td>\n",
       "      <td>0.623061</td>\n",
       "      <td>0.168848</td>\n",
       "      <td>0.133673</td>\n",
       "      <td>0.097101</td>\n",
       "      <td>-0.629375</td>\n",
       "      <td>-0.628892</td>\n",
       "      <td>-0.624459</td>\n",
       "      <td>-0.624415</td>\n",
       "      <td>-0.628007</td>\n",
       "      <td>0.414362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mentality_composure</th>\n",
       "      <td>-0.420836</td>\n",
       "      <td>0.708867</td>\n",
       "      <td>0.426790</td>\n",
       "      <td>0.389065</td>\n",
       "      <td>0.437174</td>\n",
       "      <td>0.359076</td>\n",
       "      <td>-0.160637</td>\n",
       "      <td>-0.065075</td>\n",
       "      <td>-0.182012</td>\n",
       "      <td>-0.101894</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.443772</td>\n",
       "      <td>0.394166</td>\n",
       "      <td>0.359157</td>\n",
       "      <td>-0.449580</td>\n",
       "      <td>-0.446860</td>\n",
       "      <td>-0.445416</td>\n",
       "      <td>-0.441137</td>\n",
       "      <td>-0.447208</td>\n",
       "      <td>0.473111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>defending_marking_awareness</th>\n",
       "      <td>-0.161311</td>\n",
       "      <td>0.312093</td>\n",
       "      <td>0.161288</td>\n",
       "      <td>0.140981</td>\n",
       "      <td>0.169093</td>\n",
       "      <td>0.163583</td>\n",
       "      <td>-0.088498</td>\n",
       "      <td>-0.064124</td>\n",
       "      <td>-0.067830</td>\n",
       "      <td>-0.034126</td>\n",
       "      <td>...</td>\n",
       "      <td>0.443772</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.939809</td>\n",
       "      <td>0.933001</td>\n",
       "      <td>-0.553614</td>\n",
       "      <td>-0.553478</td>\n",
       "      <td>-0.552878</td>\n",
       "      <td>-0.550999</td>\n",
       "      <td>-0.554628</td>\n",
       "      <td>0.399500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>defending_standing_tackle</th>\n",
       "      <td>-0.094413</td>\n",
       "      <td>0.259773</td>\n",
       "      <td>0.156649</td>\n",
       "      <td>0.120724</td>\n",
       "      <td>0.144442</td>\n",
       "      <td>0.101713</td>\n",
       "      <td>-0.095297</td>\n",
       "      <td>-0.082212</td>\n",
       "      <td>-0.061627</td>\n",
       "      <td>-0.033357</td>\n",
       "      <td>...</td>\n",
       "      <td>0.394166</td>\n",
       "      <td>0.939809</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.977414</td>\n",
       "      <td>-0.552253</td>\n",
       "      <td>-0.551793</td>\n",
       "      <td>-0.551931</td>\n",
       "      <td>-0.550445</td>\n",
       "      <td>-0.553272</td>\n",
       "      <td>0.294235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>defending_sliding_tackle</th>\n",
       "      <td>-0.078453</td>\n",
       "      <td>0.233589</td>\n",
       "      <td>0.140869</td>\n",
       "      <td>0.103512</td>\n",
       "      <td>0.125646</td>\n",
       "      <td>0.089482</td>\n",
       "      <td>-0.095280</td>\n",
       "      <td>-0.084719</td>\n",
       "      <td>-0.054919</td>\n",
       "      <td>-0.031869</td>\n",
       "      <td>...</td>\n",
       "      <td>0.359157</td>\n",
       "      <td>0.933001</td>\n",
       "      <td>0.977414</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.531952</td>\n",
       "      <td>-0.531655</td>\n",
       "      <td>-0.531363</td>\n",
       "      <td>-0.530015</td>\n",
       "      <td>-0.532583</td>\n",
       "      <td>0.307414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>goalkeeping_diving</th>\n",
       "      <td>-0.105188</td>\n",
       "      <td>-0.010990</td>\n",
       "      <td>-0.043093</td>\n",
       "      <td>-0.022090</td>\n",
       "      <td>-0.024234</td>\n",
       "      <td>0.109490</td>\n",
       "      <td>0.371105</td>\n",
       "      <td>0.343334</td>\n",
       "      <td>-0.007821</td>\n",
       "      <td>-0.013638</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.449580</td>\n",
       "      <td>-0.553614</td>\n",
       "      <td>-0.552253</td>\n",
       "      <td>-0.531952</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.971585</td>\n",
       "      <td>0.968414</td>\n",
       "      <td>0.971219</td>\n",
       "      <td>0.973929</td>\n",
       "      <td>0.476895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>goalkeeping_handling</th>\n",
       "      <td>-0.108329</td>\n",
       "      <td>-0.011080</td>\n",
       "      <td>-0.044989</td>\n",
       "      <td>-0.022474</td>\n",
       "      <td>-0.024443</td>\n",
       "      <td>0.112420</td>\n",
       "      <td>0.368482</td>\n",
       "      <td>0.341250</td>\n",
       "      <td>-0.007583</td>\n",
       "      <td>-0.011085</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.446860</td>\n",
       "      <td>-0.553478</td>\n",
       "      <td>-0.551793</td>\n",
       "      <td>-0.531655</td>\n",
       "      <td>0.971585</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.968049</td>\n",
       "      <td>0.970705</td>\n",
       "      <td>0.971818</td>\n",
       "      <td>0.423886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>goalkeeping_kicking</th>\n",
       "      <td>-0.106830</td>\n",
       "      <td>-0.012986</td>\n",
       "      <td>-0.047030</td>\n",
       "      <td>-0.021599</td>\n",
       "      <td>-0.024328</td>\n",
       "      <td>0.112025</td>\n",
       "      <td>0.366948</td>\n",
       "      <td>0.341570</td>\n",
       "      <td>-0.007809</td>\n",
       "      <td>-0.015981</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.445416</td>\n",
       "      <td>-0.552878</td>\n",
       "      <td>-0.551931</td>\n",
       "      <td>-0.531363</td>\n",
       "      <td>0.968414</td>\n",
       "      <td>0.968049</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.967259</td>\n",
       "      <td>0.968706</td>\n",
       "      <td>0.428831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>goalkeeping_positioning</th>\n",
       "      <td>-0.114416</td>\n",
       "      <td>-0.002485</td>\n",
       "      <td>-0.040184</td>\n",
       "      <td>-0.021292</td>\n",
       "      <td>-0.022675</td>\n",
       "      <td>0.120686</td>\n",
       "      <td>0.368452</td>\n",
       "      <td>0.344672</td>\n",
       "      <td>-0.007436</td>\n",
       "      <td>-0.014194</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.441137</td>\n",
       "      <td>-0.550999</td>\n",
       "      <td>-0.550445</td>\n",
       "      <td>-0.530015</td>\n",
       "      <td>0.971219</td>\n",
       "      <td>0.970705</td>\n",
       "      <td>0.967259</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.971501</td>\n",
       "      <td>0.450546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>goalkeeping_reflexes</th>\n",
       "      <td>-0.106377</td>\n",
       "      <td>-0.007960</td>\n",
       "      <td>-0.042383</td>\n",
       "      <td>-0.019929</td>\n",
       "      <td>-0.022762</td>\n",
       "      <td>0.111281</td>\n",
       "      <td>0.368354</td>\n",
       "      <td>0.343082</td>\n",
       "      <td>-0.004981</td>\n",
       "      <td>-0.014287</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.447208</td>\n",
       "      <td>-0.554628</td>\n",
       "      <td>-0.553272</td>\n",
       "      <td>-0.532583</td>\n",
       "      <td>0.973929</td>\n",
       "      <td>0.971818</td>\n",
       "      <td>0.968706</td>\n",
       "      <td>0.971501</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.478162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>goalkeeping_speed</th>\n",
       "      <td>-0.431193</td>\n",
       "      <td>0.499533</td>\n",
       "      <td>0.230408</td>\n",
       "      <td>0.204340</td>\n",
       "      <td>0.280131</td>\n",
       "      <td>0.401871</td>\n",
       "      <td>-0.039549</td>\n",
       "      <td>0.070521</td>\n",
       "      <td>-0.124850</td>\n",
       "      <td>0.003394</td>\n",
       "      <td>...</td>\n",
       "      <td>0.473111</td>\n",
       "      <td>0.399500</td>\n",
       "      <td>0.294235</td>\n",
       "      <td>0.307414</td>\n",
       "      <td>0.476895</td>\n",
       "      <td>0.423886</td>\n",
       "      <td>0.428831</td>\n",
       "      <td>0.450546</td>\n",
       "      <td>0.478162</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             sofifa_id   overall  potential  value_eur  \\\n",
       "sofifa_id                     1.000000 -0.491523   0.037576  -0.128102   \n",
       "overall                      -0.491523  1.000000   0.644275   0.554684   \n",
       "potential                     0.037576  0.644275   1.000000   0.527738   \n",
       "value_eur                    -0.128102  0.554684   0.527738   1.000000   \n",
       "wage_eur                     -0.253044  0.601764   0.497611   0.823527   \n",
       "age                          -0.781023  0.459451  -0.264142   0.042886   \n",
       "height_cm                    -0.100362  0.042787   0.004403   0.010291   \n",
       "weight_kg                    -0.207461  0.150324  -0.016912   0.035188   \n",
       "club_team_id                  0.110305 -0.226640  -0.330928  -0.191468   \n",
       "league_level                 -0.036769 -0.179032  -0.153075  -0.117917   \n",
       "club_jersey_number            0.183841 -0.186166   0.009784  -0.067670   \n",
       "club_contract_valid_until     0.128058  0.184987   0.345188   0.217051   \n",
       "nationality_id                0.065832 -0.168315  -0.247198  -0.083983   \n",
       "nation_team_id               -0.009138 -0.214303  -0.185054  -0.084325   \n",
       "nation_jersey_number          0.179041 -0.116020  -0.027984  -0.017193   \n",
       "weak_foot                    -0.121359  0.223762   0.157053   0.149757   \n",
       "skill_moves                  -0.139709  0.376226   0.283746   0.257232   \n",
       "international_reputation     -0.334292  0.470647   0.357283   0.632181   \n",
       "release_clause_eur           -0.113962  0.545197   0.537715   0.995460   \n",
       "pace                          0.162743  0.174695   0.258817   0.181934   \n",
       "shooting                     -0.301698  0.489623   0.287862   0.290294   \n",
       "passing                      -0.412920  0.715001   0.437655   0.404774   \n",
       "dribbling                    -0.296408  0.666402   0.490270   0.404812   \n",
       "defending                    -0.234020  0.346760   0.162151   0.147359   \n",
       "physic                       -0.403516  0.529234   0.155740   0.215105   \n",
       "attacking_crossing           -0.166999  0.401356   0.243757   0.227414   \n",
       "attacking_finishing          -0.126239  0.338746   0.230814   0.217691   \n",
       "attacking_heading_accuracy   -0.149084  0.343901   0.192825   0.165921   \n",
       "attacking_short_passing      -0.183969  0.516788   0.367162   0.297419   \n",
       "attacking_volleys            -0.197351  0.380942   0.235766   0.238366   \n",
       "skill_dribbling              -0.085064  0.384351   0.311396   0.240916   \n",
       "skill_curve                  -0.212534  0.420423   0.270217   0.252820   \n",
       "skill_fk_accuracy            -0.230161  0.381030   0.207769   0.214721   \n",
       "skill_long_passing           -0.229260  0.498216   0.324791   0.278721   \n",
       "skill_ball_control           -0.142978  0.460411   0.347172   0.269854   \n",
       "movement_acceleration         0.103243  0.194044   0.232621   0.157690   \n",
       "movement_sprint_speed         0.101162  0.205736   0.235577   0.164682   \n",
       "movement_agility             -0.059928  0.270279   0.223385   0.176597   \n",
       "movement_reactions           -0.482973  0.871823   0.522483   0.492741   \n",
       "movement_balance              0.015254  0.123700   0.136890   0.117887   \n",
       "power_shot_power             -0.327861  0.561180   0.332292   0.301723   \n",
       "power_jumping                -0.222044  0.284689   0.096992   0.118294   \n",
       "power_stamina                -0.115509  0.385150   0.199743   0.198771   \n",
       "power_strength               -0.305497  0.364366   0.073567   0.128684   \n",
       "power_long_shots             -0.203978  0.410010   0.243294   0.231585   \n",
       "mentality_aggression         -0.246133  0.400161   0.191501   0.183251   \n",
       "mentality_interceptions      -0.173451  0.316470   0.157728   0.141060   \n",
       "mentality_positioning        -0.135519  0.358562   0.233070   0.224097   \n",
       "mentality_vision             -0.267625  0.523025   0.345298   0.324453   \n",
       "mentality_penalties          -0.182124  0.343690   0.208062   0.196231   \n",
       "mentality_composure          -0.420836  0.708867   0.426790   0.389065   \n",
       "defending_marking_awareness  -0.161311  0.312093   0.161288   0.140981   \n",
       "defending_standing_tackle    -0.094413  0.259773   0.156649   0.120724   \n",
       "defending_sliding_tackle     -0.078453  0.233589   0.140869   0.103512   \n",
       "goalkeeping_diving           -0.105188 -0.010990  -0.043093  -0.022090   \n",
       "goalkeeping_handling         -0.108329 -0.011080  -0.044989  -0.022474   \n",
       "goalkeeping_kicking          -0.106830 -0.012986  -0.047030  -0.021599   \n",
       "goalkeeping_positioning      -0.114416 -0.002485  -0.040184  -0.021292   \n",
       "goalkeeping_reflexes         -0.106377 -0.007960  -0.042383  -0.019929   \n",
       "goalkeeping_speed            -0.431193  0.499533   0.230408   0.204340   \n",
       "\n",
       "                             wage_eur       age  height_cm  weight_kg  \\\n",
       "sofifa_id                   -0.253044 -0.781023  -0.100362  -0.207461   \n",
       "overall                      0.601764  0.459451   0.042787   0.150324   \n",
       "potential                    0.497611 -0.264142   0.004403  -0.016912   \n",
       "value_eur                    0.823527  0.042886   0.010291   0.035188   \n",
       "wage_eur                     1.000000  0.158490   0.028062   0.066208   \n",
       "age                          0.158490  1.000000   0.083009   0.239444   \n",
       "height_cm                    0.028062  0.083009   1.000000   0.765465   \n",
       "weight_kg                    0.066208  0.239444   0.765465   1.000000   \n",
       "club_team_id                -0.240514  0.089276  -0.136575  -0.072116   \n",
       "league_level                -0.126592 -0.054432   0.067772   0.015369   \n",
       "club_jersey_number          -0.069797 -0.209275  -0.019351  -0.055049   \n",
       "club_contract_valid_until    0.187222 -0.216373   0.023709  -0.020857   \n",
       "nationality_id              -0.092472  0.060287  -0.154496  -0.122715   \n",
       "nation_team_id              -0.105601 -0.006803  -0.000944   0.014342   \n",
       "nation_jersey_number        -0.100610 -0.192085  -0.118637  -0.136937   \n",
       "weak_foot                    0.160240  0.082149  -0.158167  -0.115391   \n",
       "skill_moves                  0.272319  0.074076  -0.411341  -0.336606   \n",
       "international_reputation     0.675637  0.231927   0.042307   0.088295   \n",
       "release_clause_eur           0.821330  0.028284   0.010829   0.031126   \n",
       "pace                         0.134479 -0.209383  -0.399614  -0.360537   \n",
       "shooting                     0.312219  0.249207  -0.190318  -0.087062   \n",
       "passing                      0.438336  0.346893  -0.259754  -0.154743   \n",
       "dribbling                    0.421867  0.202410  -0.358324  -0.250922   \n",
       "defending                    0.178856  0.247524   0.199484   0.197474   \n",
       "physic                       0.249843  0.443169   0.501150   0.586895   \n",
       "attacking_crossing           0.253123  0.132175  -0.489842  -0.396283   \n",
       "attacking_finishing          0.229687  0.088754  -0.374008  -0.290304   \n",
       "attacking_heading_accuracy   0.207326  0.154516   0.008762   0.039728   \n",
       "attacking_short_passing      0.324420  0.147374  -0.342883  -0.265814   \n",
       "attacking_volleys            0.264481  0.148109  -0.344035  -0.255622   \n",
       "skill_dribbling              0.255204  0.030402  -0.477227  -0.397363   \n",
       "skill_curve                  0.281428  0.151111  -0.439474  -0.347480   \n",
       "skill_fk_accuracy            0.245725  0.191301  -0.411407  -0.316938   \n",
       "skill_long_passing           0.310768  0.191542  -0.315242  -0.242198   \n",
       "skill_ball_control           0.293376  0.092112  -0.400440  -0.323804   \n",
       "movement_acceleration        0.133496 -0.147650  -0.545003  -0.484069   \n",
       "movement_sprint_speed        0.142775 -0.139581  -0.452112  -0.400709   \n",
       "movement_agility             0.171261 -0.010749  -0.621258  -0.534689   \n",
       "movement_reactions           0.539616  0.453298   0.008080   0.107943   \n",
       "movement_balance             0.105672 -0.066938  -0.769273  -0.651952   \n",
       "power_shot_power             0.344529  0.279673  -0.158341  -0.049794   \n",
       "power_jumping                0.148923  0.219382   0.013769   0.077792   \n",
       "power_stamina                0.199667  0.131455  -0.285735  -0.219641   \n",
       "power_strength               0.162081  0.348811   0.531970   0.612221   \n",
       "power_long_shots             0.257850  0.164977  -0.381169  -0.280976   \n",
       "mentality_aggression         0.225225  0.241968  -0.062410   0.006072   \n",
       "mentality_interceptions      0.170430  0.179112  -0.078812  -0.056168   \n",
       "mentality_positioning        0.240612  0.101573  -0.439659  -0.348210   \n",
       "mentality_vision             0.347141  0.209636  -0.356495  -0.270094   \n",
       "mentality_penalties          0.228939  0.151951  -0.321211  -0.234356   \n",
       "mentality_composure          0.437174  0.359076  -0.160637  -0.065075   \n",
       "defending_marking_awareness  0.169093  0.163583  -0.088498  -0.064124   \n",
       "defending_standing_tackle    0.144442  0.101713  -0.095297  -0.082212   \n",
       "defending_sliding_tackle     0.125646  0.089482  -0.095280  -0.084719   \n",
       "goalkeeping_diving          -0.024234  0.109490   0.371105   0.343334   \n",
       "goalkeeping_handling        -0.024443  0.112420   0.368482   0.341250   \n",
       "goalkeeping_kicking         -0.024328  0.112025   0.366948   0.341570   \n",
       "goalkeeping_positioning     -0.022675  0.120686   0.368452   0.344672   \n",
       "goalkeeping_reflexes        -0.022762  0.111281   0.368354   0.343082   \n",
       "goalkeeping_speed            0.280131  0.401871  -0.039549   0.070521   \n",
       "\n",
       "                             club_team_id  league_level  ...  \\\n",
       "sofifa_id                        0.110305     -0.036769  ...   \n",
       "overall                         -0.226640     -0.179032  ...   \n",
       "potential                       -0.330928     -0.153075  ...   \n",
       "value_eur                       -0.191468     -0.117917  ...   \n",
       "wage_eur                        -0.240514     -0.126592  ...   \n",
       "age                              0.089276     -0.054432  ...   \n",
       "height_cm                       -0.136575      0.067772  ...   \n",
       "weight_kg                       -0.072116      0.015369  ...   \n",
       "club_team_id                     1.000000     -0.135896  ...   \n",
       "league_level                    -0.135896      1.000000  ...   \n",
       "club_jersey_number               0.008801     -0.100427  ...   \n",
       "club_contract_valid_until       -0.176346     -0.059608  ...   \n",
       "nationality_id                   0.314466     -0.264260  ...   \n",
       "nation_team_id                   0.034619      0.198935  ...   \n",
       "nation_jersey_number            -0.006525      0.011087  ...   \n",
       "weak_foot                       -0.082300     -0.014728  ...   \n",
       "skill_moves                     -0.092031     -0.062234  ...   \n",
       "international_reputation        -0.149507     -0.104759  ...   \n",
       "release_clause_eur              -0.196273     -0.114199  ...   \n",
       "pace                            -0.071066     -0.012761  ...   \n",
       "shooting                        -0.111184     -0.079835  ...   \n",
       "passing                         -0.162502     -0.140896  ...   \n",
       "dribbling                       -0.178576     -0.117785  ...   \n",
       "defending                       -0.084653     -0.056326  ...   \n",
       "physic                          -0.108728     -0.018964  ...   \n",
       "attacking_crossing              -0.080687     -0.061897  ...   \n",
       "attacking_finishing             -0.071086     -0.039672  ...   \n",
       "attacking_heading_accuracy      -0.067531     -0.039391  ...   \n",
       "attacking_short_passing         -0.108832     -0.089889  ...   \n",
       "attacking_volleys               -0.085715     -0.054883  ...   \n",
       "skill_dribbling                 -0.100086     -0.052111  ...   \n",
       "skill_curve                     -0.113576     -0.060968  ...   \n",
       "skill_fk_accuracy               -0.064670     -0.054765  ...   \n",
       "skill_long_passing              -0.108642     -0.090887  ...   \n",
       "skill_ball_control              -0.108672     -0.070996  ...   \n",
       "movement_acceleration           -0.054509     -0.002155  ...   \n",
       "movement_sprint_speed           -0.062535     -0.002605  ...   \n",
       "movement_agility                -0.060817      0.000671  ...   \n",
       "movement_reactions              -0.194740     -0.144080  ...   \n",
       "movement_balance                -0.013923      0.005323  ...   \n",
       "power_shot_power                -0.137177     -0.091138  ...   \n",
       "power_jumping                   -0.053567      0.012966  ...   \n",
       "power_stamina                   -0.059678     -0.004187  ...   \n",
       "power_strength                  -0.075555     -0.000563  ...   \n",
       "power_long_shots                -0.081708     -0.052395  ...   \n",
       "mentality_aggression            -0.091724     -0.044961  ...   \n",
       "mentality_interceptions         -0.064082     -0.043990  ...   \n",
       "mentality_positioning           -0.066980     -0.052336  ...   \n",
       "mentality_vision                -0.125444     -0.087848  ...   \n",
       "mentality_penalties             -0.060052     -0.043969  ...   \n",
       "mentality_composure             -0.182012     -0.101894  ...   \n",
       "defending_marking_awareness     -0.067830     -0.034126  ...   \n",
       "defending_standing_tackle       -0.061627     -0.033357  ...   \n",
       "defending_sliding_tackle        -0.054919     -0.031869  ...   \n",
       "goalkeeping_diving              -0.007821     -0.013638  ...   \n",
       "goalkeeping_handling            -0.007583     -0.011085  ...   \n",
       "goalkeeping_kicking             -0.007809     -0.015981  ...   \n",
       "goalkeeping_positioning         -0.007436     -0.014194  ...   \n",
       "goalkeeping_reflexes            -0.004981     -0.014287  ...   \n",
       "goalkeeping_speed               -0.124850      0.003394  ...   \n",
       "\n",
       "                             mentality_composure  defending_marking_awareness  \\\n",
       "sofifa_id                              -0.420836                    -0.161311   \n",
       "overall                                 0.708867                     0.312093   \n",
       "potential                               0.426790                     0.161288   \n",
       "value_eur                               0.389065                     0.140981   \n",
       "wage_eur                                0.437174                     0.169093   \n",
       "age                                     0.359076                     0.163583   \n",
       "height_cm                              -0.160637                    -0.088498   \n",
       "weight_kg                              -0.065075                    -0.064124   \n",
       "club_team_id                           -0.182012                    -0.067830   \n",
       "league_level                           -0.101894                    -0.034126   \n",
       "club_jersey_number                     -0.130962                    -0.127622   \n",
       "club_contract_valid_until               0.113927                     0.027939   \n",
       "nationality_id                         -0.113387                    -0.046589   \n",
       "nation_team_id                         -0.107502                    -0.027178   \n",
       "nation_jersey_number                   -0.031197                    -0.098356   \n",
       "weak_foot                               0.310196                     0.066358   \n",
       "skill_moves                             0.605913                     0.234671   \n",
       "international_reputation                0.359590                     0.117369   \n",
       "release_clause_eur                      0.380114                     0.137521   \n",
       "pace                                    0.090680                    -0.280065   \n",
       "shooting                                0.562154                    -0.389756   \n",
       "passing                                 0.721007                     0.183582   \n",
       "dribbling                               0.674044                    -0.108012   \n",
       "defending                               0.221225                     0.967674   \n",
       "physic                                  0.407062                     0.508602   \n",
       "attacking_crossing                      0.627092                     0.465374   \n",
       "attacking_finishing                     0.607211                     0.057259   \n",
       "attacking_heading_accuracy              0.569060                     0.591080   \n",
       "attacking_short_passing                 0.758580                     0.601361   \n",
       "attacking_volleys                       0.649909                     0.132471   \n",
       "skill_dribbling                         0.681339                     0.376025   \n",
       "skill_curve                             0.679928                     0.320766   \n",
       "skill_fk_accuracy                       0.628787                     0.321562   \n",
       "skill_long_passing                      0.705187                     0.631930   \n",
       "skill_ball_control                      0.743459                     0.490070   \n",
       "movement_acceleration                   0.416577                     0.225918   \n",
       "movement_sprint_speed                   0.414051                     0.243217   \n",
       "movement_agility                        0.505192                     0.205738   \n",
       "movement_reactions                      0.697543                     0.334779   \n",
       "movement_balance                        0.384773                     0.218342   \n",
       "power_shot_power                        0.637367                     0.058185   \n",
       "power_jumping                           0.284075                     0.331472   \n",
       "power_stamina                           0.588383                     0.623218   \n",
       "power_strength                          0.301446                     0.340599   \n",
       "power_long_shots                        0.674166                     0.222339   \n",
       "mentality_aggression                    0.568585                     0.754726   \n",
       "mentality_interceptions                 0.428391                     0.937470   \n",
       "mentality_positioning                   0.653477                     0.239840   \n",
       "mentality_vision                        0.682060                     0.200737   \n",
       "mentality_penalties                     0.623061                     0.168848   \n",
       "mentality_composure                     1.000000                     0.443772   \n",
       "defending_marking_awareness             0.443772                     1.000000   \n",
       "defending_standing_tackle               0.394166                     0.939809   \n",
       "defending_sliding_tackle                0.359157                     0.933001   \n",
       "goalkeeping_diving                     -0.449580                    -0.553614   \n",
       "goalkeeping_handling                   -0.446860                    -0.553478   \n",
       "goalkeeping_kicking                    -0.445416                    -0.552878   \n",
       "goalkeeping_positioning                -0.441137                    -0.550999   \n",
       "goalkeeping_reflexes                   -0.447208                    -0.554628   \n",
       "goalkeeping_speed                       0.473111                     0.399500   \n",
       "\n",
       "                             defending_standing_tackle  \\\n",
       "sofifa_id                                    -0.094413   \n",
       "overall                                       0.259773   \n",
       "potential                                     0.156649   \n",
       "value_eur                                     0.120724   \n",
       "wage_eur                                      0.144442   \n",
       "age                                           0.101713   \n",
       "height_cm                                    -0.095297   \n",
       "weight_kg                                    -0.082212   \n",
       "club_team_id                                 -0.061627   \n",
       "league_level                                 -0.033357   \n",
       "club_jersey_number                           -0.105673   \n",
       "club_contract_valid_until                     0.039206   \n",
       "nationality_id                               -0.047333   \n",
       "nation_team_id                               -0.019121   \n",
       "nation_jersey_number                         -0.090533   \n",
       "weak_foot                                     0.040775   \n",
       "skill_moves                                   0.212201   \n",
       "international_reputation                      0.093238   \n",
       "release_clause_eur                            0.119592   \n",
       "pace                                         -0.282334   \n",
       "shooting                                     -0.429505   \n",
       "passing                                       0.157909   \n",
       "dribbling                                    -0.140563   \n",
       "defending                                     0.977879   \n",
       "physic                                        0.470436   \n",
       "attacking_crossing                            0.452296   \n",
       "attacking_finishing                           0.026031   \n",
       "attacking_heading_accuracy                    0.566170   \n",
       "attacking_short_passing                       0.581733   \n",
       "attacking_volleys                             0.098025   \n",
       "skill_dribbling                               0.357133   \n",
       "skill_curve                                   0.296298   \n",
       "skill_fk_accuracy                             0.304211   \n",
       "skill_long_passing                            0.620433   \n",
       "skill_ball_control                            0.465192   \n",
       "movement_acceleration                         0.214007   \n",
       "movement_sprint_speed                         0.229074   \n",
       "movement_agility                              0.183430   \n",
       "movement_reactions                            0.281075   \n",
       "movement_balance                              0.211099   \n",
       "power_shot_power                              0.017760   \n",
       "power_jumping                                 0.301869   \n",
       "power_stamina                                 0.600894   \n",
       "power_strength                                0.308317   \n",
       "power_long_shots                              0.193070   \n",
       "mentality_aggression                          0.748095   \n",
       "mentality_interceptions                       0.951823   \n",
       "mentality_positioning                         0.213336   \n",
       "mentality_vision                              0.170446   \n",
       "mentality_penalties                           0.133673   \n",
       "mentality_composure                           0.394166   \n",
       "defending_marking_awareness                   0.939809   \n",
       "defending_standing_tackle                     1.000000   \n",
       "defending_sliding_tackle                      0.977414   \n",
       "goalkeeping_diving                           -0.552253   \n",
       "goalkeeping_handling                         -0.551793   \n",
       "goalkeeping_kicking                          -0.551931   \n",
       "goalkeeping_positioning                      -0.550445   \n",
       "goalkeeping_reflexes                         -0.553272   \n",
       "goalkeeping_speed                             0.294235   \n",
       "\n",
       "                             defending_sliding_tackle  goalkeeping_diving  \\\n",
       "sofifa_id                                   -0.078453           -0.105188   \n",
       "overall                                      0.233589           -0.010990   \n",
       "potential                                    0.140869           -0.043093   \n",
       "value_eur                                    0.103512           -0.022090   \n",
       "wage_eur                                     0.125646           -0.024234   \n",
       "age                                          0.089482            0.109490   \n",
       "height_cm                                   -0.095280            0.371105   \n",
       "weight_kg                                   -0.084719            0.343334   \n",
       "club_team_id                                -0.054919           -0.007821   \n",
       "league_level                                -0.031869           -0.013638   \n",
       "club_jersey_number                          -0.098833            0.005476   \n",
       "club_contract_valid_until                    0.037511           -0.024793   \n",
       "nationality_id                              -0.044683           -0.020341   \n",
       "nation_team_id                              -0.023927           -0.003965   \n",
       "nation_jersey_number                        -0.095395           -0.076118   \n",
       "weak_foot                                    0.022701           -0.218797   \n",
       "skill_moves                                  0.177433           -0.604961   \n",
       "international_reputation                     0.078554            0.010809   \n",
       "release_clause_eur                           0.102487           -0.020457   \n",
       "pace                                        -0.273086           -0.023536   \n",
       "shooting                                    -0.465380            0.023995   \n",
       "passing                                      0.123780            0.034174   \n",
       "dribbling                                   -0.167514            0.013868   \n",
       "defending                                    0.963833            0.031852   \n",
       "physic                                       0.443152            0.051308   \n",
       "attacking_crossing                           0.431552           -0.677740   \n",
       "attacking_finishing                         -0.014740           -0.605657   \n",
       "attacking_heading_accuracy                   0.544579           -0.748750   \n",
       "attacking_short_passing                      0.547546           -0.743980   \n",
       "attacking_volleys                            0.058476           -0.603146   \n",
       "skill_dribbling                              0.327172           -0.774698   \n",
       "skill_curve                                  0.264291           -0.617081   \n",
       "skill_fk_accuracy                            0.270130           -0.563347   \n",
       "skill_long_passing                           0.593760           -0.605294   \n",
       "skill_ball_control                           0.430614           -0.804037   \n",
       "movement_acceleration                        0.202282           -0.630308   \n",
       "movement_sprint_speed                        0.217606           -0.633539   \n",
       "movement_agility                             0.164887           -0.556989   \n",
       "movement_reactions                           0.251561           -0.079749   \n",
       "movement_balance                             0.200700           -0.533571   \n",
       "power_shot_power                            -0.016338           -0.275670   \n",
       "power_jumping                                0.301937           -0.211172   \n",
       "power_stamina                                0.574866           -0.708093   \n",
       "power_strength                               0.290818           -0.120404   \n",
       "power_long_shots                             0.152482           -0.618455   \n",
       "mentality_aggression                         0.729947           -0.598693   \n",
       "mentality_interceptions                      0.940891           -0.509861   \n",
       "mentality_positioning                        0.177224           -0.701519   \n",
       "mentality_vision                             0.134847           -0.362421   \n",
       "mentality_penalties                          0.097101           -0.629375   \n",
       "mentality_composure                          0.359157           -0.449580   \n",
       "defending_marking_awareness                  0.933001           -0.553614   \n",
       "defending_standing_tackle                    0.977414           -0.552253   \n",
       "defending_sliding_tackle                     1.000000           -0.531952   \n",
       "goalkeeping_diving                          -0.531952            1.000000   \n",
       "goalkeeping_handling                        -0.531655            0.971585   \n",
       "goalkeeping_kicking                         -0.531363            0.968414   \n",
       "goalkeeping_positioning                     -0.530015            0.971219   \n",
       "goalkeeping_reflexes                        -0.532583            0.973929   \n",
       "goalkeeping_speed                            0.307414            0.476895   \n",
       "\n",
       "                             goalkeeping_handling  goalkeeping_kicking  \\\n",
       "sofifa_id                               -0.108329            -0.106830   \n",
       "overall                                 -0.011080            -0.012986   \n",
       "potential                               -0.044989            -0.047030   \n",
       "value_eur                               -0.022474            -0.021599   \n",
       "wage_eur                                -0.024443            -0.024328   \n",
       "age                                      0.112420             0.112025   \n",
       "height_cm                                0.368482             0.366948   \n",
       "weight_kg                                0.341250             0.341570   \n",
       "club_team_id                            -0.007583            -0.007809   \n",
       "league_level                            -0.011085            -0.015981   \n",
       "club_jersey_number                       0.004407             0.006767   \n",
       "club_contract_valid_until               -0.023200            -0.026271   \n",
       "nationality_id                          -0.022797            -0.020545   \n",
       "nation_team_id                          -0.014385            -0.023248   \n",
       "nation_jersey_number                    -0.077242            -0.074584   \n",
       "weak_foot                               -0.219986            -0.213778   \n",
       "skill_moves                             -0.603081            -0.601639   \n",
       "international_reputation                 0.011323             0.010635   \n",
       "release_clause_eur                      -0.020767            -0.020493   \n",
       "pace                                    -0.013886            -0.011436   \n",
       "shooting                                 0.028926             0.045259   \n",
       "passing                                  0.046077             0.043315   \n",
       "dribbling                                0.022987             0.032611   \n",
       "defending                                0.028187             0.023944   \n",
       "physic                                   0.048943             0.063305   \n",
       "attacking_crossing                      -0.675595            -0.675874   \n",
       "attacking_finishing                     -0.604279            -0.601335   \n",
       "attacking_heading_accuracy              -0.749095            -0.745486   \n",
       "attacking_short_passing                 -0.741955            -0.738854   \n",
       "attacking_volleys                       -0.601622            -0.598669   \n",
       "skill_dribbling                         -0.772985            -0.770454   \n",
       "skill_curve                             -0.614950            -0.613142   \n",
       "skill_fk_accuracy                       -0.562174            -0.559885   \n",
       "skill_long_passing                      -0.603459            -0.599891   \n",
       "skill_ball_control                      -0.802568            -0.799088   \n",
       "movement_acceleration                   -0.630237            -0.628466   \n",
       "movement_sprint_speed                   -0.633607            -0.631737   \n",
       "movement_agility                        -0.556642            -0.554608   \n",
       "movement_reactions                      -0.080684            -0.081403   \n",
       "movement_balance                        -0.532446            -0.530836   \n",
       "power_shot_power                        -0.275181            -0.266944   \n",
       "power_jumping                           -0.211013            -0.209847   \n",
       "power_stamina                           -0.706221            -0.703382   \n",
       "power_strength                          -0.122316            -0.119934   \n",
       "power_long_shots                        -0.616621            -0.613442   \n",
       "mentality_aggression                    -0.597210            -0.595690   \n",
       "mentality_interceptions                 -0.509198            -0.509059   \n",
       "mentality_positioning                   -0.699802            -0.696555   \n",
       "mentality_vision                        -0.358788            -0.356522   \n",
       "mentality_penalties                     -0.628892            -0.624459   \n",
       "mentality_composure                     -0.446860            -0.445416   \n",
       "defending_marking_awareness             -0.553478            -0.552878   \n",
       "defending_standing_tackle               -0.551793            -0.551931   \n",
       "defending_sliding_tackle                -0.531655            -0.531363   \n",
       "goalkeeping_diving                       0.971585             0.968414   \n",
       "goalkeeping_handling                     1.000000             0.968049   \n",
       "goalkeeping_kicking                      0.968049             1.000000   \n",
       "goalkeeping_positioning                  0.970705             0.967259   \n",
       "goalkeeping_reflexes                     0.971818             0.968706   \n",
       "goalkeeping_speed                        0.423886             0.428831   \n",
       "\n",
       "                             goalkeeping_positioning  goalkeeping_reflexes  \\\n",
       "sofifa_id                                  -0.114416             -0.106377   \n",
       "overall                                    -0.002485             -0.007960   \n",
       "potential                                  -0.040184             -0.042383   \n",
       "value_eur                                  -0.021292             -0.019929   \n",
       "wage_eur                                   -0.022675             -0.022762   \n",
       "age                                         0.120686              0.111281   \n",
       "height_cm                                   0.368452              0.368354   \n",
       "weight_kg                                   0.344672              0.343082   \n",
       "club_team_id                               -0.007436             -0.004981   \n",
       "league_level                               -0.014194             -0.014287   \n",
       "club_jersey_number                          0.003077              0.005504   \n",
       "club_contract_valid_until                  -0.024127             -0.020682   \n",
       "nationality_id                             -0.022489             -0.021077   \n",
       "nation_team_id                             -0.010812             -0.006469   \n",
       "nation_jersey_number                       -0.077627             -0.074295   \n",
       "weak_foot                                  -0.217013             -0.220583   \n",
       "skill_moves                                -0.601882             -0.603274   \n",
       "international_reputation                    0.013831              0.012639   \n",
       "release_clause_eur                         -0.019848             -0.018358   \n",
       "pace                                       -0.029029             -0.015834   \n",
       "shooting                                    0.033269              0.038602   \n",
       "passing                                     0.038797              0.039488   \n",
       "dribbling                                   0.021025              0.028222   \n",
       "defending                                   0.023819              0.020783   \n",
       "physic                                      0.053181              0.050191   \n",
       "attacking_crossing                         -0.674395             -0.677035   \n",
       "attacking_finishing                        -0.601135             -0.603013   \n",
       "attacking_heading_accuracy                 -0.744552             -0.748794   \n",
       "attacking_short_passing                    -0.738538             -0.742318   \n",
       "attacking_volleys                          -0.598384             -0.601480   \n",
       "skill_dribbling                            -0.769348             -0.772202   \n",
       "skill_curve                                -0.613709             -0.615694   \n",
       "skill_fk_accuracy                          -0.560211             -0.562838   \n",
       "skill_long_passing                         -0.601133             -0.604873   \n",
       "skill_ball_control                         -0.798632             -0.802410   \n",
       "movement_acceleration                      -0.626919             -0.628307   \n",
       "movement_sprint_speed                      -0.629623             -0.631408   \n",
       "movement_agility                           -0.554221             -0.555851   \n",
       "movement_reactions                         -0.073168             -0.075885   \n",
       "movement_balance                           -0.529101             -0.531232   \n",
       "power_shot_power                           -0.271049             -0.273857   \n",
       "power_jumping                              -0.206477             -0.210721   \n",
       "power_stamina                              -0.704100             -0.706687   \n",
       "power_strength                             -0.116784             -0.120437   \n",
       "power_long_shots                           -0.612976             -0.616527   \n",
       "mentality_aggression                       -0.594173             -0.598106   \n",
       "mentality_interceptions                    -0.507294             -0.510780   \n",
       "mentality_positioning                      -0.695813             -0.698717   \n",
       "mentality_vision                           -0.355112             -0.360038   \n",
       "mentality_penalties                        -0.624415             -0.628007   \n",
       "mentality_composure                        -0.441137             -0.447208   \n",
       "defending_marking_awareness                -0.550999             -0.554628   \n",
       "defending_standing_tackle                  -0.550445             -0.553272   \n",
       "defending_sliding_tackle                   -0.530015             -0.532583   \n",
       "goalkeeping_diving                          0.971219              0.973929   \n",
       "goalkeeping_handling                        0.970705              0.971818   \n",
       "goalkeeping_kicking                         0.967259              0.968706   \n",
       "goalkeeping_positioning                     1.000000              0.971501   \n",
       "goalkeeping_reflexes                        0.971501              1.000000   \n",
       "goalkeeping_speed                           0.450546              0.478162   \n",
       "\n",
       "                             goalkeeping_speed  \n",
       "sofifa_id                            -0.431193  \n",
       "overall                               0.499533  \n",
       "potential                             0.230408  \n",
       "value_eur                             0.204340  \n",
       "wage_eur                              0.280131  \n",
       "age                                   0.401871  \n",
       "height_cm                            -0.039549  \n",
       "weight_kg                             0.070521  \n",
       "club_team_id                         -0.124850  \n",
       "league_level                          0.003394  \n",
       "club_jersey_number                   -0.152304  \n",
       "club_contract_valid_until             0.023497  \n",
       "nationality_id                       -0.041585  \n",
       "nation_team_id                        0.075884  \n",
       "nation_jersey_number                  0.016084  \n",
       "weak_foot                             0.133903  \n",
       "skill_moves                                NaN  \n",
       "international_reputation              0.217452  \n",
       "release_clause_eur                    0.192905  \n",
       "pace                                       NaN  \n",
       "shooting                                   NaN  \n",
       "passing                                    NaN  \n",
       "dribbling                                  NaN  \n",
       "defending                                  NaN  \n",
       "physic                                     NaN  \n",
       "attacking_crossing                    0.314646  \n",
       "attacking_finishing                   0.492809  \n",
       "attacking_heading_accuracy            0.242907  \n",
       "attacking_short_passing               0.372554  \n",
       "attacking_volleys                     0.472168  \n",
       "skill_dribbling                       0.453022  \n",
       "skill_curve                           0.296273  \n",
       "skill_fk_accuracy                     0.272891  \n",
       "skill_long_passing                    0.299925  \n",
       "skill_ball_control                    0.442592  \n",
       "movement_acceleration                 0.973703  \n",
       "movement_sprint_speed                 0.938099  \n",
       "movement_agility                      0.611258  \n",
       "movement_reactions                    0.531521  \n",
       "movement_balance                      0.451374  \n",
       "power_shot_power                      0.428526  \n",
       "power_jumping                         0.503986  \n",
       "power_stamina                         0.558025  \n",
       "power_strength                        0.295173  \n",
       "power_long_shots                      0.502635  \n",
       "mentality_aggression                  0.256509  \n",
       "mentality_interceptions               0.533131  \n",
       "mentality_positioning                 0.518545  \n",
       "mentality_vision                      0.253441  \n",
       "mentality_penalties                   0.414362  \n",
       "mentality_composure                   0.473111  \n",
       "defending_marking_awareness           0.399500  \n",
       "defending_standing_tackle             0.294235  \n",
       "defending_sliding_tackle              0.307414  \n",
       "goalkeeping_diving                    0.476895  \n",
       "goalkeeping_handling                  0.423886  \n",
       "goalkeeping_kicking                   0.428831  \n",
       "goalkeeping_positioning               0.450546  \n",
       "goalkeeping_reflexes                  0.478162  \n",
       "goalkeeping_speed                     1.000000  \n",
       "\n",
       "[60 rows x 60 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3fabf005",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.590088Z",
     "iopub.status.busy": "2023-01-17T16:32:19.589121Z",
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     "shell.execute_reply": "2023-01-17T16:32:19.593283Z"
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     "exception": false,
     "start_time": "2023-01-17T16:32:19.577260",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "features = [\"overall\", \"potential\", \"wage_eur\", \"value_eur\", \"age\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ff667abb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.623022Z",
     "iopub.status.busy": "2023-01-17T16:32:19.621815Z",
     "iopub.status.idle": "2023-01-17T16:32:19.653758Z",
     "shell.execute_reply": "2023-01-17T16:32:19.652857Z"
    },
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     "exception": false,
     "start_time": "2023-01-17T16:32:19.609745",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data = data.dropna(subset=features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "18d1b4ba",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.679255Z",
     "iopub.status.busy": "2023-01-17T16:32:19.678853Z",
     "iopub.status.idle": "2023-01-17T16:32:19.685082Z",
     "shell.execute_reply": "2023-01-17T16:32:19.684061Z"
    },
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "players=data[features].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4d5405bd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.710715Z",
     "iopub.status.busy": "2023-01-17T16:32:19.710298Z",
     "iopub.status.idle": "2023-01-17T16:32:19.726901Z",
     "shell.execute_reply": "2023-01-17T16:32:19.725734Z"
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     "status": "completed"
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   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>overall</th>\n",
       "      <th>potential</th>\n",
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       "      <th>value_eur</th>\n",
       "      <th>age</th>\n",
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       "      <th>0</th>\n",
       "      <td>93</td>\n",
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       "      <td>320000.0</td>\n",
       "      <td>78000000.0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>119500000.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>45000000.0</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>129000000.0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>350000.0</td>\n",
       "      <td>125500000.0</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>19234</th>\n",
       "      <td>47</td>\n",
       "      <td>52</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>70000.0</td>\n",
       "      <td>22</td>\n",
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       "    <tr>\n",
       "      <th>19235</th>\n",
       "      <td>47</td>\n",
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       "      <td>110000.0</td>\n",
       "      <td>19</td>\n",
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       "    <tr>\n",
       "      <th>19236</th>\n",
       "      <td>47</td>\n",
       "      <td>55</td>\n",
       "      <td>500.0</td>\n",
       "      <td>100000.0</td>\n",
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       "      <th>19237</th>\n",
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       "    <tr>\n",
       "      <th>19238</th>\n",
       "      <td>47</td>\n",
       "      <td>60</td>\n",
       "      <td>500.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19165 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       overall  potential  wage_eur    value_eur  age\n",
       "0           93         93  320000.0   78000000.0   34\n",
       "1           92         92  270000.0  119500000.0   32\n",
       "2           91         91  270000.0   45000000.0   36\n",
       "3           91         91  270000.0  129000000.0   29\n",
       "4           91         91  350000.0  125500000.0   30\n",
       "...        ...        ...       ...          ...  ...\n",
       "19234       47         52    1000.0      70000.0   22\n",
       "19235       47         59     500.0     110000.0   19\n",
       "19236       47         55     500.0     100000.0   21\n",
       "19237       47         60     500.0     110000.0   19\n",
       "19238       47         60     500.0     110000.0   19\n",
       "\n",
       "[19165 rows x 5 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "708428d3",
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  },
  {
   "cell_type": "markdown",
   "id": "4c3f2227",
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "High level\n",
    "1. Scale data to standardize values\n",
    "2. Initialize random centroids\n",
    "3. Get labels for each data point\n",
    "4. Create new centroids\n",
    "5. Plot the centroids\n",
    "6. Repeat 3-5 until the centroids stop changing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7d3ce561",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.795691Z",
     "iopub.status.busy": "2023-01-17T16:32:19.794851Z",
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     "start_time": "2023-01-17T16:32:19.782942",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "players = ((players - players.min()) / (players.max() - players.min())) * 10 + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "13bf1928",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.831492Z",
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     "start_time": "2023-01-17T16:32:19.818814",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>overall</th>\n",
       "      <th>potential</th>\n",
       "      <th>wage_eur</th>\n",
       "      <th>value_eur</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>19165.000000</td>\n",
       "      <td>19165.000000</td>\n",
       "      <td>19165.000000</td>\n",
       "      <td>19165.000000</td>\n",
       "      <td>19165.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.078302</td>\n",
       "      <td>5.799998</td>\n",
       "      <td>1.243826</td>\n",
       "      <td>1.146473</td>\n",
       "      <td>4.403716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.496262</td>\n",
       "      <td>1.323418</td>\n",
       "      <td>0.557253</td>\n",
       "      <td>0.392477</td>\n",
       "      <td>1.750932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.043478</td>\n",
       "      <td>4.913043</td>\n",
       "      <td>1.014306</td>\n",
       "      <td>1.024022</td>\n",
       "      <td>2.851852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.130435</td>\n",
       "      <td>5.782609</td>\n",
       "      <td>1.071531</td>\n",
       "      <td>1.049796</td>\n",
       "      <td>4.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.652174</td>\n",
       "      <td>1.214592</td>\n",
       "      <td>1.102634</td>\n",
       "      <td>5.814815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            overall     potential      wage_eur     value_eur           age\n",
       "count  19165.000000  19165.000000  19165.000000  19165.000000  19165.000000\n",
       "mean       5.078302      5.799998      1.243826      1.146473      4.403716\n",
       "std        1.496262      1.323418      0.557253      0.392477      1.750932\n",
       "min        1.000000      1.000000      1.000000      1.000000      1.000000\n",
       "25%        4.043478      4.913043      1.014306      1.024022      2.851852\n",
       "50%        5.130435      5.782609      1.071531      1.049796      4.333333\n",
       "75%        6.000000      6.652174      1.214592      1.102634      5.814815\n",
       "max       11.000000     11.000000     11.000000     11.000000     11.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d023b50f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.891705Z",
     "iopub.status.busy": "2023-01-17T16:32:19.891301Z",
     "iopub.status.idle": "2023-01-17T16:32:19.895838Z",
     "shell.execute_reply": "2023-01-17T16:32:19.894621Z"
    },
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     "start_time": "2023-01-17T16:32:19.879387",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# centroid=players.apply(lambda x:float(x.sample()))\n",
    "# centroid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8053ce93",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.921856Z",
     "iopub.status.busy": "2023-01-17T16:32:19.921115Z",
     "iopub.status.idle": "2023-01-17T16:32:19.926929Z",
     "shell.execute_reply": "2023-01-17T16:32:19.925763Z"
    },
    "papermill": {
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     "end_time": "2023-01-17T16:32:19.929749",
     "exception": false,
     "start_time": "2023-01-17T16:32:19.908825",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def random_centroids(data, k):\n",
    "    centroids = []\n",
    "    for i in range(k):\n",
    "        centroid = data.apply(lambda x: float(x.sample()))\n",
    "        centroids.append(centroid)\n",
    "    return pd.concat(centroids, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "eab66c17",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:19.952681Z",
     "iopub.status.busy": "2023-01-17T16:32:19.952272Z",
     "iopub.status.idle": "2023-01-17T16:32:19.976687Z",
     "shell.execute_reply": "2023-01-17T16:32:19.975501Z"
    },
    "papermill": {
     "duration": 0.038801,
     "end_time": "2023-01-17T16:32:19.979312",
     "exception": false,
     "start_time": "2023-01-17T16:32:19.940511",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "centroids = random_centroids(players, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6ce085c5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:20.002795Z",
     "iopub.status.busy": "2023-01-17T16:32:20.001905Z",
     "iopub.status.idle": "2023-01-17T16:32:20.013618Z",
     "shell.execute_reply": "2023-01-17T16:32:20.012871Z"
    },
    "papermill": {
     "duration": 0.025683,
     "end_time": "2023-01-17T16:32:20.015653",
     "exception": false,
     "start_time": "2023-01-17T16:32:19.989970",
     "status": "completed"
    },
    "tags": []
   },
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>overall</th>\n",
       "      <td>4.695652</td>\n",
       "      <td>2.956522</td>\n",
       "      <td>4.260870</td>\n",
       "      <td>3.173913</td>\n",
       "      <td>5.130435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>potential</th>\n",
       "      <td>4.913043</td>\n",
       "      <td>7.304348</td>\n",
       "      <td>5.565217</td>\n",
       "      <td>5.782609</td>\n",
       "      <td>7.521739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wage_eur</th>\n",
       "      <td>1.071531</td>\n",
       "      <td>1.014306</td>\n",
       "      <td>1.042918</td>\n",
       "      <td>2.187411</td>\n",
       "      <td>1.071531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>value_eur</th>\n",
       "      <td>1.039486</td>\n",
       "      <td>1.334603</td>\n",
       "      <td>1.082014</td>\n",
       "      <td>1.015001</td>\n",
       "      <td>2.339804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>3.222222</td>\n",
       "      <td>8.037037</td>\n",
       "      <td>5.814815</td>\n",
       "      <td>6.185185</td>\n",
       "      <td>2.481481</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  0         1         2         3         4\n",
       "overall    4.695652  2.956522  4.260870  3.173913  5.130435\n",
       "potential  4.913043  7.304348  5.565217  5.782609  7.521739\n",
       "wage_eur   1.071531  1.014306  1.042918  2.187411  1.071531\n",
       "value_eur  1.039486  1.334603  1.082014  1.015001  2.339804\n",
       "age        3.222222  8.037037  5.814815  6.185185  2.481481"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "centroids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "86fa077a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:20.039681Z",
     "iopub.status.busy": "2023-01-17T16:32:20.038960Z",
     "iopub.status.idle": "2023-01-17T16:32:20.044285Z",
     "shell.execute_reply": "2023-01-17T16:32:20.043334Z"
    },
    "papermill": {
     "duration": 0.020101,
     "end_time": "2023-01-17T16:32:20.046803",
     "exception": false,
     "start_time": "2023-01-17T16:32:20.026702",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def get_labels(data, centroids):\n",
    "    distances = centroids.apply(lambda x: np.sqrt(((data - x) ** 2).sum(axis=1)))\n",
    "    return distances.idxmin(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "82a73bb5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:20.071098Z",
     "iopub.status.busy": "2023-01-17T16:32:20.070666Z",
     "iopub.status.idle": "2023-01-17T16:32:20.107055Z",
     "shell.execute_reply": "2023-01-17T16:32:20.106123Z"
    },
    "papermill": {
     "duration": 0.051655,
     "end_time": "2023-01-17T16:32:20.109563",
     "exception": false,
     "start_time": "2023-01-17T16:32:20.057908",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "labels = get_labels(players, centroids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "aa624ab3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:20.133876Z",
     "iopub.status.busy": "2023-01-17T16:32:20.133167Z",
     "iopub.status.idle": "2023-01-17T16:32:20.141823Z",
     "shell.execute_reply": "2023-01-17T16:32:20.140740Z"
    },
    "papermill": {
     "duration": 0.023393,
     "end_time": "2023-01-17T16:32:20.144122",
     "exception": false,
     "start_time": "2023-01-17T16:32:20.120729",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    7574\n",
       "0    7240\n",
       "4    4203\n",
       "1      97\n",
       "3      51\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6cc493cb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:20.168924Z",
     "iopub.status.busy": "2023-01-17T16:32:20.168531Z",
     "iopub.status.idle": "2023-01-17T16:32:20.174399Z",
     "shell.execute_reply": "2023-01-17T16:32:20.173239Z"
    },
    "papermill": {
     "duration": 0.021349,
     "end_time": "2023-01-17T16:32:20.176697",
     "exception": false,
     "start_time": "2023-01-17T16:32:20.155348",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def new_centroids(data, labels, k):\n",
    "    centroids = data.groupby(labels).apply(lambda x: np.exp(np.log(x).mean())).T\n",
    "    return centroids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "56e049ad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:20.200703Z",
     "iopub.status.busy": "2023-01-17T16:32:20.200327Z",
     "iopub.status.idle": "2023-01-17T16:32:21.233262Z",
     "shell.execute_reply": "2023-01-17T16:32:21.232297Z"
    },
    "papermill": {
     "duration": 1.047956,
     "end_time": "2023-01-17T16:32:21.235847",
     "exception": false,
     "start_time": "2023-01-17T16:32:20.187891",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import clear_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c1ec754f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:21.262447Z",
     "iopub.status.busy": "2023-01-17T16:32:21.261644Z",
     "iopub.status.idle": "2023-01-17T16:32:21.269839Z",
     "shell.execute_reply": "2023-01-17T16:32:21.268934Z"
    },
    "papermill": {
     "duration": 0.024043,
     "end_time": "2023-01-17T16:32:21.272633",
     "exception": false,
     "start_time": "2023-01-17T16:32:21.248590",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_clusters(data, labels, centroids, iteration):\n",
    "    pca = PCA(n_components=2)\n",
    "    data_2d = pca.fit_transform(data)\n",
    "    centroids_2d = pca.transform(centroids.T)\n",
    "    clear_output(wait=True)\n",
    "    plt.title(f'Iteration {iteration}')\n",
    "    plt.scatter(x=data_2d[:,0], y=data_2d[:,1], c=labels)\n",
    "    plt.scatter(x=centroids_2d[:,0], y=centroids_2d[:,1])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8c8d33ae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:21.297409Z",
     "iopub.status.busy": "2023-01-17T16:32:21.296988Z",
     "iopub.status.idle": "2023-01-17T16:32:37.311944Z",
     "shell.execute_reply": "2023-01-17T16:32:37.310812Z"
    },
    "papermill": {
     "duration": 16.029866,
     "end_time": "2023-01-17T16:32:37.314366",
     "exception": false,
     "start_time": "2023-01-17T16:32:21.284500",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8fj+7Nu7B4/JgcxxyKXQ4ri1PTLov5DWZ+7PJ2pdF845NsdqtIceEo1HLhgy8+ETmTJqHp8C4N6EJbE4bw285I+J5AoEAq/5eR15mPl+O+YEtK7YVz1cWKWH5nDWljq1fuAmvK3h8wBdg68odITdr03ceZPa38/C6ffQd1pO2x7Tmu9enkrE3E5/HsK6lLvEUeHnzlo8YcGHfoN/xP1MWoOvBbraAL8A/UxbQqg406oiGIjcDPYHbpZTzhRD/BzwEPFZykJRyLDAWDNdKFNZVKILQdZ0DOw8Sl+QkLimyePBm7ZtENO7jR74MsqzdBR7GP/ENw287M2Sae/aBHGPXKAy2OBueEpEzAF6Xj08f/5rxT3zDGdeczM2vXxP2AbNz/S7uPeUpMvZkAkYI49VPj+TSh86P6J6KuG/czbQ9uhWT3/qFglwXvYf04PoXLiOlcXJE129ZuZ3RQ5/FlevG7w+EVMhl8bq8/PX135w8sj8A7Y9ry5zv/qXsC47fFyB954Gg6//8cg6v3vA+UpfoAZ2Jz05i2E2ns3j6imIlXhKpS7au3EHHnu1KHTeZTSGTooQm6kwT62hErewEdkop5xd+PwlDsSsUNULAH2D6Z7MY1f1eznZeztUdb2dE4+t56sJXolrkaUeY1+yCHBfrF24Kec4eZw/KrizCmeigQ4+22EJs5PncPrwuLz+PncEdJz7C3q37g8a4CzyM6nF/sRIH42fxySNf8veU/yK5pWJMJhMX33cuX2x7n8kZ43n0q7tp2rZxRNcGAgEeOuNZDu7OpCDXFZESL+Ll697lYKH8xw0+OkiJFzH/59IlAXIz83j1hvfxurz4PD4C/gAel5epH8wI+/P2+wPEpwQ/3AdceAKhkls1TTDgwhMivpdYUmVFLqXcC+wQQhRtaw8GVld1XoWiLDs37OGFK9/kira3cPegx1jw2xLWLdjIjcfdz2uj3mfLiu34vX78vgB+b4D5vyzm6YteDTtf+s6DzPzqbxbPWB6ygmBZmnUIb7l/PWZKyON2p42BI/oGZVJqJo2rnrqYB8ffSkqjpLBp8npAZ+PiLVx/1N0smr6s1Llfx/2JL0RlQyklHz/8RUW3EzVWzl2LK6/iAl3hmPPdvwBYLBZsztBuobIP5AW/LsFkDlZfXpeXlKbJ2ONKPxw1k0bbo1uGfDg1apXGbW9dj9VurG9zWLHaLdz8xrU0adPocG+rRolWZuftwMTCiJXNwLVRmlehAIwNqVv7PFS8abZvWzqP/jMGIQiqBVKEz+Nj6Z8r+PqlyWSl55DWsgGDLxtAYoMEPnzwcya/9StmqwkQOBPsvPzHE7TsfMgfun97Opn7c2hzVAtsDhsj7x/Os5e8HnKt/35dzJir3mLQRf044eyepRT33WNvInNfNstnry7eyHMmOujcpwMPn/0C+3ccqHDD1OvyMubKt/h699jiudeHKaQFkLE3q9z5SuLKc/HhA58z4/PZ+Lx+eg/pzq1vXhexEivIcYV9EFWEHjjkhml7TCssNkuQX91qtzDggr7M/3kRS/5cQUrjZOwhGk8X0ax9Yzr3ac83L/2I1W4h4A/QpE0jnvz+/rDXnHn9YI4/qyf/TFkAUtJveB8aNkstNWbdgo2smb+BBs1S6TusZ7n7KTWN6hCkqBM8d+nrzP52Hrp++H+vVocVk0njisdGMOHpb0tldQoBTdo1Zvz6t8jNzOPpEa+y5t/1mK1m9IDODWMuZ+h1p3Ju0lXoYR4cYJSF7X1GDx7/9t5i5Sal5JbeD7JlRekCVDaHFYTAU+AJN13Q3G/9+0JxSduf3p/Gm7d8FHJsz9OP5cVpj4U8VxIpJXf2f4SNS7YWR65omiAhNYHxG96MaJ8hNzOPS5qPCln33Gq3oJk1nAlOcjNyg3zXVoeVdxe+SMvOzVj19zoW/LqE7/5vKn5vAD2gY3PaaNgilZRGSWxcuhV3nhuLzQJS4vcFgh6ANqeNF39/jKNO7Ez2gRzWL9xESuNk2vdoc9gPG7/Pz5MXvMzSmauM8EmrCbvTxmuzn6FFx6aHNefhUm3hhwpFTbDy73VVUuJgWLWuPDfjn/i6lBIHI4oic28WW1Zs5+kRr7Lqn7V43T4Kcly48z18+OBEVsxZy6mXDcBqD2+JufM9LJy2lMUzlhcfW79wEzvX7w56c/B5/fh9wZty4dADeqn0/dOuGIgjIdgyFZrgznf/F9Gca+ZvYMuK7aXCD42Ki25+H/9XRHMkpMRz/QuXYXNai5WlPc5G5z7teXH647wx51m+2vkB5958RmG6v1Fi1+qwMnBEX/Iy87iizS08Mux5prz7G3pA0rlPe04c3oebXr2a4bcOZcPiLbgLa9D4PD58Xn+QErfaLZx7yxnFyUtJDRPpM/Q4OhzX9rCVOMCUd35j6cyVeAo8+Dw+XLlusvbn8MzF4d12NY0qmqWoEzRslsKBnQejMldR0kdZNJPG7k17WfPv+qCUeE+Bh29f+ZGnJj9AfmY+C35fChL8IeZy53v4e/J/9Dq9OwBr/t0QMl5cD+hQsWu+mGYdmtC03SEfr8/jZ+CIfvwxcU6xHI1aNeTJ7++POBInVLYogKfAy4bFocMmQ3HBncPocnxHfnr/d3Iz8hhwYV9OufSkUklNN712DSdd2Jc/v5zD6nnr2bZqJ39P/o8ZE2YHzbdlxXaueeZSeg4+hjtOfKTCtxaTWePMGwYz6qUrI5Y5Un75cEaQu0dKyc51u9m/4wCNIswEdhd4OLArgwZNk3HER7com7LIFXWCSx++IGR0x+GgmbRSCqYYCalNU0LWYAE4uDsDu9NG33N6oWlayEgHY35RXD3xuzd+4r17PgkZDgdGYpLFVrE9ZbaaeeqHB4q/37N1H1e0vYVpn8ws9TBJ33GQJy98mQXTllY4J0DLLs0JdSM2p5X23VuTm5nH/J8XseqfdaVirdfM38Dt/R5mqPUSRjS+ni/H/ECXEzry4Pjbefan0ZxxzSkhf8ZH9+9Cqy4t2LluD36vH1ducKVHMB6GP777W+G9VxwCGPDr/DruT27scR8/vPkzPm/57e0qQ8AX+mkrhAh7riRSSj594itGNLqeW3o9wIjGN/D+PZ9GtMEeKUqRK6qNvKx8ls1axc4NeyK+Jj87n39+XMDC35cVfxj3bNnHbx//ib/we7PFhMVmJj4lDlthdIJmiuzVWQho2q4xrbq1KI5sMJk1bA4r93x0M+27tw7pwjFbTPQ+owfrFmzk3bs+KQx7C62c9YBk37YDbF29g7EPfF5YCzw0UkraHdua1t1aQDm30PecXsVWdub+bK7rcmfIcrdSSvZvO8BTF74cUTZkt36daNm5GZYSDy9RmP7vynMzstn/ePri13jg9Ke4ou0t7Fy/m80rtnHvyU+wdr7xppGdnsPEZ7/jvbs/rXA9gEmv/hTRvsDujXt59pLXQ0bmhMLr8rJ5+TbGPfwFjw4bU+EGcqScevkALCHcaalNU2jStuIN4Snv/MakV6fiKfAYPVRdXqaOncHEZ7+LinygNjsV1YCUks+e+pZvXpqMxWbB7/XTvkcbnvnxoXKr5k37dCZv3voRZothgWkmjdET7+TFq94iLyOvWMFarGa69uvEUz88wHOXvs7CacvCzlmEVqisLTYLr816mqbtGjPr63+Y/8tiUpsmc/ao02ndtQUAP743jbH3f1b8Om22molPdnLeHWcx6ZWfyMuquOKg1W6lWYfGbF25o8Kxg0aeyKiXruSaTreHfDgITXDXe6M463+nATDmqjf54/PQ6ebF96sJTrn0JB6acEfxMV3XWf3POrIP5NLtxM6kNEoCjIzV1/73Pvu2piOlpEWnphx32jFM/WA6ssxDKLVZMgLBwd2ZlMViM/PNno8qbMxxbuKVIR9CZe/Z6EUa+R5CSexxNp7/5RGOGdD1sK4viSvfzd0DHmP3xr248tzGprlZ46Xpj9Pl+I4VXn9Jixs5uDsj6Lgz0cHkzPGV8t+H2+xUilwRdWZ9O49Xrnun1Iai2WLi2EFH8eLvoSMptq3Zya29HwzKnDRbzQhNBFllVoeFtBYN2b1xb7mWV/OOTbn+hctI336Q1KbJnDi8T0Qp7ItnLOebV6awZ9N+jh3UlfSdGaycuyZsynkohBAVWoX2OBuPf3svLbs059oud4QsV5vaNJnxG97G7rSRsTeTK9vdGjJCpCyderfnnf/GAEZVwQdOe5qcjFyEEPi8fi6+/1yatW/Cm7d8WPq+BGhCHNbm8rM/PcQJZ5ffdGL00GdZ+HvFD9+qYDJrXPP0JVxSyQzXcPh9fub9tIgVc1bTuHUagy8fQHJaUkTXnmm/NOQDSQj41fNVpbJHwylytdmpiDqTXvspKCrE7wuwYs4aMvdlhUz7nj7+L3whIjjCWWRSwv7tFcdfuwvctOzcjMlv/cqKOWuw2iycdtUgbnzlKhxxpSM+9m1L55ePZrB/2wGSGiWyYfEWfG4ff3wxF78nOEqiIioab3NYOf2qQfQ+owd3nPhISH9ro9YN+WDJy9idNtb+t4H7Bz8VkRI3mU00atWAtf9toGOvdjxSFK9eQjlPevUnpCQ4E1OCfpgG3rhHvqhQkY96+UpW/bMOV747ZPmC+OQ4XPnuCv3PQhOccFZPlvyxIsgAsNitpDZNqbT84TBbzAy44AQGXFD5TM/23duEbJ7dvGPTqJUAUIpcEXVyDuSEPG6ymIobIcz7aRFCQN9zepPSKIm8rPxy47PLovsDYROBSnJwVyb/O+be4u89Li+/jJ3Bkj9W8P6Sl4uV+ZI/V/D4uS/i9wcO+3U+UoQGXft2YsCF/Tj35iFk7c9m45LNIdPTNaERnxyPlJIxV74V9IAMR8AfYNHvy1n0+3IcCfZSpWGL8BR40UJkR1aFrSt2FBf78nl9zP72XxZOW0rD5qmcecNgmrVvQttjWvPuopf48vnvmPPdfDwuLyazhtlqwZlgZ9hNQ/hqzA9Bitxqt3Dl4xfhTHRgj3dw6mX9ced5uLzNzVAmsdRsNtWa9PqbXruah854Bq/rUFNtm9PKLW9EL29SuVYUUeet28fx89jpQR/EhNR4bhhzOe/c8XFxPQw9oHPHu/8juVESj53zQthaGyUxW0wkN04iOz03ZPnVSGnavjEfLn8VKSVXtr2VrPTQD6BoYjJrxQ8gk8WEI95Oz9OOZfa34fuwDLtpCJc/eiFXdbit3I2/uCQnekDHne8JfhsQhLR+hSaCFHxVEELwU94EpIQ7+z/C7o17ced7MFtMmCwmHvv6niCLff2iTaz7byMNWzSgz9AeFOS4uKz1zUEbojaHlc82vU1qk9KW9rqFm3jm4lfJ3p+DRJKclsgd746iz9AeVYofjybrF23is6e+ZfOyrbTs0pyrnrj4sJp1KB+5osbI2JvJjT3uJz+7AJ/HV5j8YeF/L17B2PsnBLkGrHYL49a8wahj7q1wEwyMioGv//UU95z8RMQWaijMVjOderdjw6LNYSNQoklYn3kYJVuSfuf0ZsG0peHfFgSkNE4mc19WhXMVYXVYSUiJI3NfdshuSYdDSuMkxm94i5/e/53xT3wT5LZJSI3n270fVehSWDBtKc9c/GqxItYDOg9/cVdQg+kipJQsnrGc9+7+lN2b9iE0QcPmqTz8xV1R6aJUW1CKXFGjZKVnM/nNX1g0YwWN26Qx4u5hrJy7lo8f+SJIaVpsFm544XKsTitv3/4RAV/5SsVk1rjptatp370tz1/+BnmZ+fgKe01Wlkg2JGsDJrOJNke1YNPybREr6pIU1RzRAxIpJVaHlabtGvPEpHt58oJX2Ldtv9Gvs/BtwWwxoZlNnHr5SUwbNzPin5HJbKJ5hyZY7BY2Ld0adN6RYOeVP58st1tPEV63l6UzVyGlpMcpR5WqzV4Wn9fHFW1uIXN/dqk3DGeCg882vU1Sw8SI5AejmuOfE+fy68d/IHXJGdecwulXDaoVJW3VZqeiRklOS+KaZy7lmmcuLT5m1KoIVghS1/F5/fQb3jsiJRXw63z7yk9M3PoeX2x7n53rd/P7Z7P46oUfKi1npArK6rDS87Rj+PenRZVeIxoE/AGOO+1YNq/YflgPHq/bh8VuQcoAAkFcopPnpj5E49aN+Gjla2xaupWDe7Pwujwsn7Wa+JQ4hlx1Mh8/+mVEbwwl5dy+dhepTZJDntcDMuLELqvdyvFnHhfR2Pk/L8aV7w5yE/n9AaZPmMWIu8+JaB4pJc+OfJ2F05YWv+1tXLyFOd//y7M/ja41rpqyKEWuqHZ2rN/NG6PeZ8OSLSFT1TWziX7n9mbaJzMRmgZU/Jp/YFcG2QdySGqYSEqT5MNS4pXB6/Iyf+pi0lo2wOv2kV0D/vSSmC0mY7OsCv7skv71nIO5vHPnJzw9+UGEEHQ4ri1FTeMGXNAXMCziud/PD7umpmkgCOmWydyXhc1hLRVNIoQgrUWDaum4c2BXRsg3Mq/Ly/5twU0pwrH2v42llDgYqfXLZ61m+ezVdB90VFTkjTZKkSuqladGvMzc70M3ORDCsHRH3HsOrbo058DOgxFHjFhsFtJ3HsTqsPLEeS9FU+SwSClJ32HUezFbTPj9AcwWM36vH7PNTMAbQCIPy/VREX5/gF8+mhG1+QL+AP/9ugSf1xe2HKvH5aW83WdHgr24z2VZhKbRvkdbNi7ZXNyBxx5v55kfH6wWq7brCR0LjYAyMsbbOfqkyPuOLvtrVcj9EneBh+V/KUWuiAHpOw/y84cz2LluN8cM6MLpV51cXAPkcFi/aBNfjZnMjnW76Nq3E+fdOpQp7/7GzC//xu8LcPxZx3Hr/11HWosGAHzx/Hdhlbhm1jjlkv4Mvmwgv4+fyZXtbsHqsGKxWyJKyfYUeLjt+IeMNl9RjLqIFH8J66/P0B7sWLub9F0HD8tPHxGSkMlCVZqysEVaOOKT42jSthE71weXWGjarjEv//EEo469N+zDt++wXjw04XZWzl1LcqNEep52bLX5mTv1bs+xA7uxfNaq4rcAq91Ck7aNOHF4n4jnSWqYgMVmDnpztDmsJDYMn5Uca9RmZz1l9b/reWjIM/h9fnwePzanjYTUON5d+FJxanZJdF1n3o8L+WPibIRJ4+j+XWjcOo2uJ3QkpXEyC35bwpMXvozXVViz2iSQ0ni9LvqjF5oguVESb89/gfQdB7h74OPhXQECTrtyEDMmzCplwQohQCMoNbw2IzSQ0Qn6qDGEgC4ndOLNf54rd9zy2at5+Kzn8Xt9BPw6FpsFe5yNdxaMoWnbxiz4bQkPn/180FuIzWHl7f/GFNdOrwn8Pj8/vPkLv370B35fgFMvH8DF951bKeMlPzufS1vdFFTMyx5vZ+KWd8stMVETqKiVI4xru9zJzvW7Sx0zWUwMvfZU7np/VKnjUkqeu/QN5v+8KCitXmgap181kOmfzYosRE8YdT5CdXoJGirKfXNXVBM2pxWL1cIbfz9bXF+mPHau3833//cL29fu5OgTOzP8tjNLZeeOGz2R7//vF7we4/dtc9gYfusZ/O/F6JeUrQlWz1vHkxe+gjvfDQisdguPf3svxw7sFmvRql+RCyFMwEJgl5RyWHljlSKvXjL3Z3N565tCKt6Uxkl8s6d0V5nls1fzyNnPVykmW1E3MFtM9D6zB3e+8z8aNm8QtXnX/reBP7+Yi5SSUy8bQNcTwheTmvP9fD597Ev2bUunZedm3DDmiuLa7bUFXdeNeuxS0qFnW0ym2IceQs2EH94JrAEiD9hURJ39Ow4w6dUfw/pTQ8XiLvhtqVLi9ZSycfJ+X4DF01fw6DljeHPe80E1w5f8uYLvXp/Kwd2ZHH/mcVx497CI3Amd+3SgU+/2QU2myzJ9wiz+7+axxW9rG5ds5YnzXuLJHx6g95Dao8w1TTvsRCIpJf9OXcSMCbMQQnD6VYM4/qye1Rq6GBVFLoRoAZwNPAfcE405FZVn45It3HPy4/g8vpCxxjanlXNuHhJ0PC7JYURhVNdGnaLGMVtMvP3fC3zx/A/MmTSvlAvL6/Kyc/0eZn87j9OuGFh8/Md3f2PsA58Xp8ZvW72TaeP/YuzSV4qVeSAQYMOizegBnU6925N9MJf37vqUf6cuwuvy0qFnW+5454ZS5V0P7M7gwwcmMO+nRbhDxHp7XF4+fHBCrVLkVeGV695l9qR5xcbR/F8Wc/LI/tz70c3Vtma0Kua8ATxAOQHAQohRQoiFQoiF6enpUVpWUZI3bh6LK9cdZI0LAcIkaNquMadfNSjoulMvPYmAXsd26xRh0UwaJwzrRfvubel3Tm9MlmB7zVPg4Z8phyKK3AUePnzw81L1TXweHzkHcvnu9amA0RXo0hY38sDpT/PgkGcYFncFlzQbxaxv/sFTYNR32bBoM/cPfqp4f6Yg18WN3e/lzy/m4sp1hd383rF2V53IsK2IdQs2MuvbeaXj0PM9zPxqLhuXRN46r7JUWZELIYYB+6WU5aa8SSnHSil7Syl7p6WlVXXZIxIpJfN2bOeDRf/x47o1ePx+tq3ewbiHJ/L2HeNY919wqUzjOiMKZM+mfVx/1N1sW72Drat2kLk/G4BGrdJIi6K/VBFbmrRJ4+4PbsTn9bF+4aaw4YHpuw41O9i8fBtCC37193l8zP9lMa48F/cPfpLMfdm4ct248z0hk7vAyCIdN3oii2cs5+6Bj5FzMK9CmX0eP5e3vpmlM1dGeJfh2bN5HwumLWX/9po3GBf+vixkITe/x8/CCNvvHQ7RcK30B84VQpwF2IFEIcTnUsorojC3ohCP38+VkyexOn0/Xr8fm9nMmGc+J/n7LUZJ1wiKHnlcXjwuL6N63IfNYcXvC9Bz8DGcfPGJ5GVW3PVGUbsxW00079iUky8+kUXTlzHx2e/YsW532PGZe7OK/69pImzBsgbNUnj52ncjbqqhB3T+nryAv6csqFQmavrOgzx2zhjGLn+1VJPpSPG4PDw78nUWz1iOxWbB6/HRf3gfHvzsdswh3kqqg7hEp5GFW+bzaLaacSY6q23dKlvkUsrRUsoWUso2wCXAn0qJR5+xixewYt9eCnw+/FLiyizA8c0GfG4jvrcy2YS6X8eV68bn9jH/58W8ePXbFOS6Kr5QUSsRmqBZ+8ZY7Va2rdrJ+Ce+4YXL32T7ml3lKlJXnhtXnostK7cz+c1fwpa5HXrdqfz9w/xKySSlPKxyAj6vn5/e/73S1wGMvX8Ci2csx+v2GZU33T7m/biQz5+ZdFjzHQ6DLu4X8s0GAQMv6ltt66rmy7UYXyDAtE0beGfBfD5bthRPia7bznXZEKLhcN33Mioqg8Vm4YHxt5HcKImCnMo9jL1uHyMa38Cd/R/ljy/mhh4kJXN/mF9j2bMBf4A9m/dV+jopJdM+mRlUItnj8vLTe4f3YDgcUhon89jX9+CIt+NMdOBMdOBIsPP4t/dF3BrucIjq+4aU8i/gr2jOWZ/Jcrv4fdNG3H4/g1q3pXVycvG59IJ8LvzmCzJdblw+n1HDowQywq7xivqL0ATP/zKadse24aWr36709e4Iar9LCX9ODKPkqwHNpLF9zU6G2i5B6pLOx3fg0S/volGr8vfVdF0P2wLPlVezb5snnN2Lb/d9xLK/ViMEdD/5qIj6xFYFVWslRvy5ZTO3/foTmhAEdJ0X5s5iVK8+3N23P75AgFE/TWZXTk5YCzv/qBRkCF0uzQLhV3Z5bUFohW9J1RAU1PbYVrQ9pjWjz3wuql1+YonUJdvX7Cr+fs289VzT+U6+3fshcUlxZO7PZtf63TRp15iGzVKLx5lMJjr0bMuGRZtLzScEHDOga43JX4TNYYu4BG80UCn6MSDf6+X4j97D5S8dTeAwmxl37vk8P3c2K/dX/Hqp5flo9cwSBBjaQpfk9mpA4vwDKHu9/mO2muhwXDvWL9wYss774aKZtYj7p3bq3Y6NS7YedochzaQhdR0JtOzcjB1rQ2/OXnj3MPKy8/lz4lysdgtet4/+5/XhgfG3FVdvXLdgI/cNfgqfx0fAF8BsNWG1Wfm/f56r0Zov1Um4zE7lI48Bs7ZtxSSCf/Ruv5+X/5nLxoyDEc2jx1vY+kwv0i9qx4Hz27D9ke5YMr1KiR8h+L0B1s7fEFUlbrFbOP3KgdgcFbsC7HE23vr3BY4d1K24B2tlsMfbGHrdKdzyf9fx5fb3ado2fKTKzC/n8tdXf+Pz+IpbCM77cSHjRn8BwK6Ne5g6djoNm6fSuHUaHY5ry/DbzuTDla/VGyVeHsq1Us2sO3iAP7dswmYyc2aHTjRNSCAg9SCfNxhG9dasLNz+SvSPtJrI690QpMS2NQfb9nz8SRZM2T6l0BWVRgA9TjmamV/9E3aMyWLCbDHxwq+PoGka939yK3ed9Ch5Wfl43UaPVs0k8Ln95Sb5WG1Wbnvr+mKLumn78Io8JyM3KNHN4/Ly89jpDLl6EHed9FhxbXShGYWu/vfSlTRq2RCAg3syycvKp0XHprWiZVu0Ua6VauSFubOYsHwpvkAAs6YhELxw2hAGtW5Dv3EflIpCAXCaLbRMSmLdwcg7mhQjJbZNOXjaJCCk4XZp9OVmnOuzo3Q3iiOFgSP60v/843n1hveRAaMNXxFmq5nug7px/6e30qDpIR+13+dn/s+L2btlP+17tGH7ml2Mvf+zUh2CihAa2OPsPPfzwxxz0iH/dcbeTC5pcWNIf39Yd48I75Jp0akpr895hmdHvs7qeesxWUxYrGbufG8Ugy7qV9kfS61AuVZqmEV7dvH58qW4/X4CUuIJBHAH/Dw0wwiFeuaU07CZzFg0DYHhHz+7Uydu6n08Vu0wLIaAxNMmAcwa0qIRSLGx9/pOeBrbVUiiolK48tyceukAHvvmHuJT40ud83v9LJ+9mm9emlLquNlipv95x3Ph3cPoccrRJKUloplDqxepgyvXzYOnP8PGpYfS1lObpPDU9w9gsR1yFJgtJkZPvJOjTwzd5UcIEdavvnvTPh4563lW/b0Wn8eHO89NbkYeL1/zNusXbYroZ1FXUBZ5NfHkX38wYfnSICUaZ7HwzCmncV6XbmzLyuLH9Wso8Pk4rV17ejZpBsCJH49lX37Fac2lkNLYoi9JQJIwfz/CE6DBj9vRlEZXRECLTk1JSktk1d/rwo6x2My8v+QVPn/mW+b9tBBN0zj+zOO464MbiUt04nF5uKT5jeRllZ8x7ExwMCX7s1LHdF1n3X8bkRS2cBOCjUu3cM/Ax/G6vUYCXASYbWZ0fyBoD0FoglMuOYnRn98R0Ty1CWWRx4DwZSuN43FWK1LC+oMH+HPLZvbm5SGEoEeTJtERwCTwNnWSM6AJ+cemVjxeoQB2rt9TrhIv4ra+o5n55d+48zwU5Lj46+t/GNlsFAf3ZGJz2Hju59FYK9g0Lch1sfLvtaWOaZpG176d6Na3U/FnqEOPtry/5GUGjOiHzVnxRqxm1gpb2YXYi9Il+7btr3COuoRS5NXEuZ27YgtRjN6vS9qnpPDon9M56ZOxvLPgX2Zu3cK4JYsY8vmnrNq/j8uP6YG5grrOQYR6aPh1PM0cRus0ocxxRfTw+wK4Q5R18BR4eOu2j9izeR9PXvAKXnfF9Vl2bQjuCVqWxTOW8/BZz/PXV39HVPNF9+th+6darOZa18iiqqiolWqiZ9NmXHnscXy2fAl+XcdUqGgv7nY0I7/7OigyxRsI4A0EGDV1Cs0SEvBXtayslGDWjC8pSb+8I3r8NpLnVj79WaEoS1LDRLL2h95IXzhtKZn7sshKz66wZoTQBJ16tSt3zMYlW3js3DFhMzcriyPBwfBbh0ZlrtqCUuTVyEMnDeSCrt34c8tm7GYzJ7dpy9lffFZueOGevFz25OVWffGSFroQYBEcvLAN5mwv8Ssyqz6/4oilSdtGHN2/MzM+nxPyvNlqYf2CTRFlm3bu04G2x7QOez4/O5/RQ5+tUIkLTUS0nmbSeGn6YzFvohxtlGulmunUoCE39T6ea3r0ZHt2NqbKukyizMHhhz40ytmiOBz2bz/A3B/+C+nNQ8CQqwaGOFEak8XE0OtP5aUZj5c77oUr3iTrQE65YzSTRt9hvdAqqD9ktpg4dlA32vdoW6F8dQ1lkVeCXI+HKevWsPbAAY5KS+Pczl2JswZvvOi6zvuLFvDt6hWYNRPX9ujJZcd0x2oy4QvEsJ2aEPgTD/Vo1G0aJo/qDKSoHHpAx53vIa1lA9J3HixlEQghCPh12h/X1rDKS0TFmSwmBo7ox0MTbq+wtydAzsFcFs9YXq7FYbGZSWmczAOf3saYK99kwW9Lg8oFmMwmTBYTnft04LGv62cnSqXII2R7dhYXfPMFLp8Pl9+Pw2zhjfnzmDzycpomHHpN03WdUz/7mO05h/yHj86cwZR1a5h4wcVBSUA1ipSYs42NIt2ikdc9laT/DiP5SKEA0ncEl5KQumTap3/xwPjb+L+bx+LKM+reC00QnxzHdc9fGpESB8jJyMNkNuHzhHZFJjZM4JybhnDBXWcTnxzHHe/cwG0nPIwrz4U734M9zoYzwcFdH4yizdGtyi0BUNdRceQRctXkSfyzYzt6iZ+XJgSnt2vPe2cPLz42ftlinpo1M+QcDZ1ODhQUVLusYZGSlB+24tieT+aZLbBtzsW2I5+41VkqnV8RhCPBjh7QI+4MVIyASx86H81s4usXJxe3mjNbTaQ2SeGDpa8QnxxXPDx910HGPTSRlX+vxWKzcOygboy4exjN2jfh4qY3hGwV17VvR96Y+2zQQ8GV72bW1/+wddV22h7TmkEXn4jdaav8zddSwsWRK0UeAbqUdHr79VJKvAirycTaW+8q/n74V5+zIoLKhTGl7H0EJE3GrSNujUrnV1QdIQS9h/Zgwa9Lgs5Z7VaufHwElzx0PgD//ryIx84ZE2KchYc+v5OAz88r17+L1+U1ArGsZpwJdt5f8gppLY68PrPVlhAkhGgphJgphFgthFglhLizqnPWNgQUhw+WpWy8t9NiCTmu1iHEoS+TYO//uqCblV2uiA5L/lgR8rjX7WX+L4sBww359IhXw4zz8cp179D//ON5afrj9D//BDoc15bz7ziTsctfOyKVeHlEw0fuB+6VUi4WQiQAi4QQ06WUq6Mwd61ACMHQDp34beN6fCXiu60mE+d2Kl0DYlTPPszftbOmRawcZR9KQgCSzFOb0eD3XSEvUSgiRUpZ7E4pixACm9PGS9e+zY41u0J2nC/JhkWb6davM09M6lwdotYbqqzIpZR7gD2F/88VQqwBmgP1RpEDPHXyqaw7eICd2Vl4AwECUmLWNHo0aUogEODZubOYtHolBb7oJC3EAn+qDW+qFWtGJX2iijpNUaOGmkAzayyftRq/z19h3Lce0LHH2UOe87g8/D15AQd3Z9K1b0eOOrFzOSUx6j9RjVoRQrQBjgMq13K7lrE5M4MJy5eyIzub/q1aMaLr0fh0ncFt2vHpssXoGBFRBT4fT82ayQtzZ5Ht8cRa7Cojpc7+KzrQ4s169QxWVEBNKXGhCYQQFVrhRaQ0TqbtMa1KHZNS8vv4v3jj5rFIv9FZyGIz061fZ577eXRxbfMjjagpciFEPPAdcJeUMiiCXwgxChgF0KpVq7Knaw2zt23lpp+n4Cu0umdt28KLc2cDEJCSQJmNQpffh6sSfSBqM/m90rBvy0NCrY5iyenaloMDe+FPjMOck0+D2YtIXLOl4gsVMcNit3DFoyP4+qXJYd0uJUlulMSzU0cHWdnv3PUxU976rdQxT4GXVX+vZfJbv3LRvedGVe66QlTSDIUQFgwlPlFK+X2oMVLKsVLK3lLK3mlp5XfEjhW6lNw//dfiGuJgKG+vruPV9SAlXm8oui+rCXebePaNbEvAUTu7qOR0bcv+of3xJ8UbCU5J8ewf2p+crvUvW6++0Lh1GqMn3MHxZx0XUW9Pi83CubecQasuzYuP6brOS9e+E6TEi/C6ffw67s+oyVzXqLJFLoxH5jhgjZTytaqLVPMs3G00gdiZm0Omyx1rcWqeklaPxUR+30YUHJNCm6eXonlrV+bnwYG9kJbSf7bSYubgwF7KKq8ikdYrKcLutOEuCO9SFEIwOXs8zngHYLhFGjRLYffGfeW2gPN5fHz90hQuuu/c4hjwic9+x8wv5pYrz+E2gK4PRMMi7w9cCZwqhFha+HVWFOatEcYvW8zVkyfx0/q1LN6zG788cv8YihECGWchp0/DWEsShD8xrlLHFZETUdEps8YNYy7n98A3tOjSrNyxN7x4ebESB0OxP//LIzRuk4Y9zobFHt6frZkE+7YaNcOllHz3xlT8vvAuGc2kcXoENV7qK1VW5FLKuVJKIaU8VkrZo/Drl2gIV93kejy8+PccXH6/KiBVFiHIO86I1a1NPxtzTuiOM+GOK6KL7tf59PGv2bl+N1c8OgJbiKxJs9XM7e/cEOSvzs/OZ/4vi2nesQk+T/lRK35vgNSmKcaauk5+VvkZ0W2OasGFd59zGHdUPziia60s2bun8g0cjhSkxJRZ+8IQG8xexP6h/Uu5V4TPT4PZi2Io1ZGF3+vn5p4PMDV/Ije+ciXjHv4CvzeA1CWnXTmAW9+8HquttLW9Z8s+bj9hNK58D94QDZlLYnVYGXRRPxJSjH6hJpOJFp2bsXNd6N6cFz9wLtc9dxmmEI1cjhSOaEWeZLOV66s70pEWjX2XtsN00E3D30N/iGqaIj+4ilqJLR6Xl7X/beCcm86g95AepO88SIeebUu5Ukry9u3jyM3IQy/HChcCLHYrZ1xzMje/fk2pc7f+33U8ef5LeIoeAsLo9PPU5Afpc0aPKN1V3eWIVuTHNm5CqsNJgS+7VrkPYk7hw83V/VCfz+zTW2Bfl0WDH7di3x9bSz1xzRaluGsBq+et442bxrJj7S6EJkhOS2L0xDs56sTgLMxFvy8vV4mDEXLoTHRyYFcGm5dto3OfDsXneg/pzovTH2fC09+yfc1O2h7TmquevJjOvdtH/b7qIkdk0SwpJb9t2sCnSxezJTOTA64YViSsS0gJAUnzF5ZiP1j73C6KmiUpLZGcg7mlfN32eDvj179JapOUUmOHxV1+yJoOgxDGn5gQhnvliUn30WfocdUie12l2opm1UVe+mcO9/3+Gwt271JKvDIUFtg6eF6bWEuiqAVkp+cEbVjq/gC/fzYraOwpl/THbA12AAhhhD3CoXQGKY0kn7duGxd9oespR5win7R6JR8sWoDLX3drosQUIfB0SIy1FIpaitftY+1/G4P2nm56/RraHdsKe5wNe5wNW5yNRq0acsVjI7CEUPAA+7en48o/AvM6DoMjykf+7aoVjP5zeqzFqNtIifAEan0avyJ2/PfzYq5sfytjpj1Gi45NAYhLdPL2/DGs+mcd29fsolXX5sWFrqZ9+hf7twd3qjJbzVjLiTVXHOKIsch1KXly1p8hm0MoKkfyn3uUEleExefxsX/bAUYPfbaUZS6E4Oj+XTjrhsEc3b9LcR2VkhmcRdgcVs664bQjOqSwMtRri1xKyYTlS/lo8UL2F+TjjWW/zHpE9uBmODfnYtupknAUoZFSkp2ew9r/NrBn0z6mfjAdr9vHqZedxLAbT8dqP9S0fPitQzmwK4Mf3vwFs8WE3+tn0MgT+d9LV8TwDuoW9Tpq5fk5fzFxxTJc/npSnrA2ISXWrXk0e28NplpWj0VRO3AmOujatxOr/l6LO9+oyWJzWml7TGvemPMMJnNpa7sg18XuTXtp1LIhiQ0SQk1ZIek7D7Jy7lqSGibQ/ZSj6p1FHy5qpd5a5DkeNxOWL41t1/r6jBB428Sz4+HutH5yiXK1KILwefysmL26VL1zT4GXrat28M+UBQy4sG+p8c4EBx16HF4VSyklHz44gclv/YbZagIEzkQHL894nJadm1d4fV2n3vnIs9wunpr1J6eOH6eUeHUjBIEkKwUdE1VC1RGGZi5fdVjsFvqf1wcRogSGO8/NounLoirPvB8X8tN7v+Pz+HDlunHlusjYncGj54w5IrK365Ui9/j9nP/1F3yxYhkZbhW2VFPk92qANAulzI8gWndrET5sScDxZx5HryHdMZmCVYzFaqZBs5QQFx4+U975rdh9U4SUkLEnk60rt0d1rdpIvXKt/LxhHekF+aUaJCuqn9xjUxAuP7Yd+cSvyETzKZV+eNRsUKfNEaBLzwLSd1nZvTW4imF5bFm+HZNFI+AL8VmT8O/URaycuxaTJdhHrZk1zrjmlMMVOyQFua6QxzWThiuv/ht19UqRL9i9q043P65zFL2yOizknGzUpk7Xoflbq7BvzYuhYNWP1R7AGa+TdcBMecrXbNHpd0Y2e3dY2bDMGXJsx2MK6HlyDvt2WFk8O4H8HDO6LpH6IWvWGR+gz6k5mMySJXPiyUwviq8uOZ/kthd2MGRkJlYb5GZpfPZyU376tEHQumaLzg2P7mHwhZlYbJL1yxw8dmU7CnJNpeZ75YdNWG06f0xK4ZeJDfB5tBJzWOhwXEvW/bcx6J4CvgAFOQWcdsVAls5cQePmu2jZwcOebXFccP99NGoV3S5hJ1/cjy3Lt4UsA9CxV7uorlUbqVeKvE1SMjaTSfnGa5qSHYZMsOu2brR7cAEiECvLPDLLtmP3XNp18/DfH4lkpVsKn0tF14WeQ9MkNocOAm5/YSederj4vwdasHBmyWxXybH98rjwxnSO7puLzQ6BACycmcRzo1qhFyroLr1zePnbLVgKI/GkDrlZJu49vwN7t1vxeUHTAjz56RaOH5wP0phHDwjeebQ5v33RoNSaP6xfjiPu0K8jMUXn5qd3EZcY4Ks3G5e6D7NVcsr5WcQlGhb1Ub0LuO+N7Tx9/aHNxvZHuTjmBCPEtHUnN6ecn8U953VADxgLeAo8vP3vC6yYs4bHzh1Dfnbpchc+j5/dGzfy6b970b1bAInQTAjzc0j9U4QWX3jfucj8T8H9K2hxCOcVYD83qF9neZx94xCmT5jNrg17cOd7MJk1zFYz93x48xHRkLneKHK/rjOkfUdenfd3rEWJKnpBAuQ2goAZTH5I2I/mzI21WAbhPmgmgatDIs512SFOSkAy6okdzJrSkHVLgzv7tOxYwLu/bwBg+rfJvPdYy1KWYHhxJL1PyaHzcS7277Iw+8dk3AWhws8kXy5dRUpa0QN/F5tX2bj3/A64XSakbtxXWnMP6btsxdeAQNcFrnxjzpfuaM1Hs9fy2IdbuXt4RzavcgCS8fPX0LiFDySIQrEtQK+TsxlySQa/fdGAp8Zv5oTT8grlLpTfBImpAR4ft5X/DeqMPS7A5PUrD40RYNYAi+SWZ3exfF48u7dYMVskJw7NLqXEizCZ4ZI79pKxz8xZV2Rgsel4XILUxj4Skg8ZPEKDE07LIbmhj6NPyCMpNcCQSzKKz9udktad3Zx4RjZzf0kunNu4uQbNUvCFaKgshOCyO9eBfwuaVuJN2b8GmfsCIuk5pHQhD46AwG7AAwGQ2evBuwSR9GSoX3NI7E4bb857nllf/8P8XxaT2jSZs0edTuuuLSKeoy4TlThyIcRQ4P8AE/CRlHJMeeOjGUee43Hz2MwZ/LZxAz5dR1C6o40mRJ3N5tQLEiC7KcgSSkzokLSn9ijzUEhJo/EbSFiaAUjadHHjyjOxb+ehJBDNFODHTSsZ+3RTfvw4jZKW8C87lqNph6rhBQIw9smm/PZlAzyusopZMvqDLQw8Kxehga4b13kKBH6fxr3nd2DbejsAQug8+clWeg3Kw2yVpZSelPDHd8ns2Gjj+7FptGjv4dGxW9D9GpkHzaQ18eJMkCz/N55PXmjKrs02LFady+7ex8jb9rNppYOfJ6TSsImXK+5ND/uMW7vEwZ1nd+SnLcuxhnFL+7yC24Z24PpH9nL84NC/50AAJr7WiJxMjetG78VqB3MYw1PXjS9zBWabHijxHiIgVM+VqZ814K2HDOV4/p1nccvr1wJw98DHWDt/A37foYeDzWll8vplaFqoqocOtCbL0PO/htzngbI+bhsi7TeEqf6HDlaGcHHkVVbkQggTsB44HdgJLAAulVKuDndNtBS5lJLzvp7I2gPpYTc4yyr2uoS+rz0EQnw6TT60xptqXqBIkZIbmiwk6c89pO8yc98buzCZJNs32Hnq+jak77ICknembaDdUS4u7HIUzvgAB/ZaadXJzYd/rQ+a0ueF/Tut3HZmpyA/7i87lhMq70PXYetaOzef1hmQNG7l4uM5G8IqvEAA/vk1iVadXDRr48VsKV1atWiMO1/j5tM6s2+nhfP/l85NT+2h5MeoPI+A32dYv+XlqUQyV6TrFY2NxEtR0biAHwryTOzcbGXOz924/vXPit0WORm5PH/pGyyfvQaTxYTFauaOd65n4KD/AaFcnWa0JqvRM28Hz7Tg0yIOkfgswnF2xYIfQVRnQtDxwEYp5ebChb4ChgNhFXm0WL5vL5syM8qNUqmrShww3CmVOV4rkAxpvpEH+y+GgaUVQ9tuLl78ZhPX9e8MCJwJAYSA28fsYMCwHHZttmG1hd7fsFihYTMfF47az4RXmxQe07FYZVilqGnQor2blDQv1z28l9MvzixXUWka9DsjG5O5tNyltgBMYHPoXHzbfj58uimnX5xZKUVZdu5wRGtMJLIVjalonGaChOQAXXu66NpzNXg/AOttACSmJjBm2mNk7s8mLzOPZu2bYDKb0DP6gfcfoORnVANrf+O/pqYYaihE9rWpUcU3qACio8ibAztKfL8TOKHsICHEKGAUQKtWraKwLGzJyqrfGYUmfxiLvPaWHEi2unn3pD9DnjObISXNT7c+BaxZ5KBZGy9Swinn5wDQurOnXGVis0sGDc+i75Bs2h/tCT+wBBYrvDt9PSlpgXLnlobrHrOltLUb8j4s0L1/LqOekLTr5q5xhRrpgwPKHycjGBN+LhfkfYB0Xo3QDqXTpzRKIqVR0qFrEp9EHrwIpNu4BgcIOyLxceO881JkwVcEKXIZQHpXgrlr8aaoIjw1ZtpJKccCY8FwrURjzs4NG9ZZ/3dEJOwP7SNP2B87mUJg17y80GcWJiE5s2X5LdgEOk1be7htzPZihVmJ4ASat/NGpOyK1xOQ2qjiKKaizcRI5JESWrTz0qJdRlQUamXGVGZchfNEPNIOhIjFFhZk/sdIWYAwtwX7sCClK8ytIG060vU9+NcaitlxQbHyF+a2kPImMutBkAVA0QPaDXmvIws+gQY/IEwNUIQnGop8F9CyxPctCo9VO10bptGraXPm79pRL5OANGeu8UJaW6NWAJDMHfY5STYjKqEiJWNzwk3P7CQxqfxx4Qi1AVfTREuR1gksfUCkgHc6QY5KmQ/54wA3EgfkvgYNvjaUc9EQ6QX/OoS1JzivQojgX6CwnYxM+xsOnAx6SSPFDfoBZN47iKTHq+Pu6g3R+FgsADoKIdoKIazAJcCPUZg3Ij485zyObdykpparcTRnLlrjTWjN1hn/1jIlbiJAst0XsZWsaRy2ElfUMPEPIFInIOJvAMqG2BSFERRZ6i6Q2cjsh4tHSPcM5P6+yMwbkRlXIdMHIX2ht86EPAB6qHBVP3hUM5iKqLIil1L6gduAacAa4Bsp5aqqzhspNrOZ647rhemIMpNqD58M+CnWIiiijgZxdyHirkUIDWHtAUnPg0gC4QSshFYdEnxLkdKN9G9HZt0DMq/wqwD0fciMqw0rvSzCTukN0ZLnnFG7s/pKVF5UpZS/SCk7SSnbSymfi8acleGoho0I1Gdfea3E+Hl/seVYvIFa4O9QRBEd8j9A5jxTfERzDEM0modo8D0ibRaIcPXCBaAhXd8RMhIFP3iCmzMLLRmsvQn29jrAqRpMVES9+AQ+PFO9etU8xu7gzN2teX1ln1gLo4g6LnB9h9SzDAs7sB/QEOZ2xsajYziGZV4GrSkykA16BiEVudRBzwq5okh6FcxtDQtcxAE2sA9BOC+L3m3VU2pzQHJEZLgKWLi7RvZWFSHw6Ga+3NSNB7vPj7UoiqijIdPPAJkJCBBxyISn0JznIOLvQnoXg38jpbIy9R1woD+YexsKWRaUmVMHa1B0MgDC1BAaTAXfMtD3gPkoI+pFUSF13iLPcLmw1IZQhnpPYaB1CApqdYKS4vBxFSpxAGn4unMeRHrmIbQ4SP4k/KX+haA1BuE4dEw4wHFRucpZCIGw9kDYz1RKvBLU+U9gq6TkSlVJUxwu4aoCSrqn1q64dkV14kfmvYmw9YOcuwiukVICqUP8w+D+EYQD4RwJttNqStAjijqvyM2aRsfUBizZuyfWohwhFIWdCTR0dAT3HaPcKnWHKFQfCmw12qd5/yl/nMxBixsJcSOrtp6iQuq8Iv9q5XLWHkiPtRhHFA6Tn6NSDtAuIZN/9zfjhEZ7Yy2SImKiEN1lPgojVLCCJDzbqVVfSxERdV6Rf7ZsCS5/7a09Uv+QDG+9gWd7z8Eb0DBr9S+jVlEBCQ8ihAlpPgr84VJGBCQ+WqNiHcnU+V1C1dqt5rn9qEVICRZNR1PbE0cYNsj8H9K/GZH0EsEZn0VIyHuzJgU7oqnzinxI+w4qaqXGkLSJz6Kxo6BShasU9QkP6LuRGdeBuQMibSZo3UIPLfgE3T2zZsU7QqkzrhW/rjN/1w7yvF6Ob9aCZLudpXv3kOpwkmC1UeDz4la9OqudCSdPjbUIitqAzDLivYUV9OBGIMXkvg72U2pMLACpZyMLvgP/GrB0K6y2WL8L/NQJRb4mfT9XTf4Ot9+PEOD1+2mWkMi+/Hx0afho/bqOw2xW/vJqQzKg8XaaOssmeCiOTDSQOUjPUkKn4hcis2pInsLl/NtK1D93g3saMu89aDCpXsel13pF7td1rp7yHQddpRXI1uysoLFKiUcbSdu4DCac8gsFfjNtEnJiLVBIpqztyct/n82e3BSaJmRyf/+fGd5lcazFqt9IP1iOA99qjFa9Yd6GbSfVpFTInCdB5nAoosYN0ovMeRqR+lGNylKT1Hrn8oJdO3H7lIKOFV8PnkJjRwFtE3Jq5cbmlLU9eXjGSHbnpiIR7M5N5eEZI5mytmesRavfJNyP0BIQ9rMIbw9aIf6hGhPJiG3/l+CwSL3imPc6Tq1X5Hleb2VamSiihiTNlk9qJWqNx4KX/z4bl7908SaX38rLf6umvdVG8kdocVcChR2AEh7GKKBVQqGbjoa02WimxBoTy8jwDvNQEWE6btcTar1r5fjmLfCpTcwaQjKy7Rpu6rqEA24HzZx5sRaoQvbkplTquKIqmEBLQ5hSSx3V4i5F2k8Dz0xjjP0UhJYaeorqxjEMXD8BJWueW8F+TmzkqSFqvUWeZLfz0EkDsZvNaIVmocNkxm4yq2YSUUUyqMl2nuk1h5bxefRokE5jZzl1NGoJTRMyK3VcURUCoO81uv3oxkNeygDSMxvcv4KpBTguiJ0SB0TCI2DuWlgKt/DL0g2RUHMunlhQ6y1ygKu796RH46Z8sXI52W43Qzt0Yki79kzbtIHRf0zHqyuLvaoMa7mBl47/q7gnZl15Rt7f/2cenjGylHvFYfZyf/+fYyhVfSJEbRapg/t3pP1k5MFLQE8H6QNhBlNrSJ0Y1IS5xqTV4qHBN0ZopH8TmDuA5dh6X1hPyCp01hFCvAycg/Eeswm4VsqK44169+4tFy5ceNjrliSg6wz9/FM2ZSkLrPJILmm3ikFNdnJKs22Ya/37WWhU1EplKFnFsjwcYOkOvn9DnDMb9ch9K8DzB6XDD63gOB8t6ZkQ1ymqihBikZSyd9njVbXIpwOjpZR+IcSLwGjgwSrOWSnyfT62Zodq2qooH4ld8/NIj39xmAPU5U55w7ssVoo7Ysr7RWtgG4KWYqTWS88/yKzlIZpDWJCWXpD3BsEx5F5wTwWlyGuUKtlgUsrfC5svA/wLtKi6SJVj0Z5d2Ex11JSMMXd0W4DDbLil6vmbp6JCBAg7IuGOQ4es/QyrHHuJcQ6wFR0PUzBNKldnTRNNH/l1wNfhTgohRgGjAFq1il6GVZzFWu/9X9FH4tS8jOq2ItaCKGKOZmwIWk9AxN+DMHcoPiOEgJSPkAXfgOt742lvvwjhvBAhzOjWviHitk1gH1zjd3GkU6GPXAgxA2gS4tQjUsophWMeAXoDF8gInO7R9pH3/2Qs+/PzozLfkUCCuYB/h3+OzVSH/SmKCHFQbhcf4UQ0+hch7OHHhEH6d5RIhy8ojBJJRDSYhDA1OmyJFeE5bB+5lLLc3kxCiGuAYcDgSJR4tDFpGpcdfSxvzJ9X00vXUSTHph7koMdJM6d6+NVrbJeA98dy3OImiH/gsJQ4gDC3hLQ/wD0V6d+IsHQF+1mHPZ/i8KmSa0UIMRR4ABgkZdCOSI3g8fv5cHFo616jwh4mRyCC+enNOOu3i5l02g90SMyKtUCK6sK/0qiJEpJCd2TuGHSZhxY/6rCWEFocOEeq5OsYU9VdwreBBGC6EGKpEOL9KMhUIVJKftmwjou+/ZIzJn6KN0zmp9NSv9NyK4fEJHTe6vsbnZIyyPebeW5pv1gLpahOAivBfByGe6UsEqPQlRvy3kL6t9aoaIroUiWLXErZoeJR0efFv+cwYXnFLd7yVfegEggCEsat78Hk07/nyr+GsfJgWqyFUlQ3/vVgO6UwfV4HPCEG6eCZAeYbKpxOumcg88eBfgCsAxHxNyp/eC2gTmR2liS9IJ9Ply0Oa4WXRG3llUWwKisNAbxywh/k+cK16VLUHzLB80sFYwSRvJzreWMh/x2QhZunri+R7p+h4VSEqWGVJVUcPnUuAHv53r1YTaZYi1FnsWoBhIAmDhftErJiLY6iViDANqTcEVLPg7y3DylxAPwgc5EFn1SveIoKqXOKvKHTiR4iOMYkBPFWa4grFIeQXNxuTfF3Ko9KAYBIRQYOlD/Gv8GopRKEDzxzq0UsReTUuY/ysY2b0DQ+IajyocVkonujJmr3vBwcJh8Pd/8XKVUmp6IEcg9kXlx+o2StoVEYKxSmZtUjlyJi6pwiF0Lw2Xkj6JbWCJvJTJzFQpLNxmunn8n9/QcUl7pVlEag88sZk2p1kwhFNKjCRzo7fKlXYW4JlmOBspFgDkTc9Ye/piIq1LnNToCmCQlMueQKduZkk+vx0CG1ARaTiQyXi0Bdrv4UZRIsHl7o8xc9G+zjoNtBi7jcWIukqHaqkDkhM5EygBCh96BEyjvIrLvBu6Cw444GCY8irEGJhooapk4q8iJaJCaV+v7xmTNiJEltRHJx2zWc3mwrJg0aOWp/kwhFrCk/ekVoyYjUT5CBdNCzwNwaIdS+VG2gTivykuR4PEzbtCHWYtQaBDCy3Rq1oXnEo2F0uY8gp8LSP6ICdMKUBqbQOQhS+gCpFHwNU28+5lPWro55FUSLVnt+nD0a7KVdYk6sxVDEDA1EHIhIe5c6If72w15N6hnombci93VH7jsW/eClSP/mw55PUTlqj+apIluzsvDrsa2s4ovx+iW5tESYoeLIQ8TfiUh8BtJ+g7CxXCVdKS7IvBpZXuRKGKTUkQcvL8we9QM6+BYjD45E6qrpS01QbxT5sU2ahK2t0qdpM8zCuFVzjK1mATUSWfPLzva4/Cpxqs5gvwStyXq0JuurPpdojIi/GeEYhqYlgeNcoGwWrwkj97nI+JCAG5nzBJUuYur9F/S9lO4WJEF6kK7Jh3ULispRbxT50PYdSXPGlXJv2EwmejZtxlcjLmH97Xez+Y57+erCkTFT5iYhaJ+SWs2ZqRKHycfC9KasyYpdN3NFJUl88tD/rWdVYSIBqV+UPpL4RGGzB6vhbsFOcBhhIXoG6Acrt2RgW5iuQG7wb6zcXIrDot4ocpvZzPcXX8ZF3Y4hxe4gzenk2h49mXDeiFK+87bJKdx1Qj+0GKQOSWBA69ZRndMsAhyqKiPpmHiQr06dwvzh4+nZMD2qaymqkf1d0ANGeKiW+gY4b63ExXGgNQb7OZC2HM3SstRZIWxoyW8gGs1GpH6BaDQPTE3DTyeclZPd3DlMcoITYTmmcnMpDosKOwRVB9HsEFQZxi9bzJi5szFrJtx+X9iYc5MQJFhtZHvcIQtvVbXOebvkFPbk5WISmlFMVNe57riefLBoQcRx8G3is/jilJ9oaC8gw+Pg9ZW9+XpzV346fTJdGwQMy0qVDatjJKI1MT4XumcBZF5e8SXCgUh8FuE4p1Ir6QXfQM5zlO4eZAX7ELTk1yo1l5QSmXEJ+FYB3sKjJtAaIBr+jtAq+WBQhOWwOwTVF1bu38eLf8/BEwjgqaBy4ohuR+EwW5iwfGmQYhVUXT1uzspk4vkXke3xoEvJSa1ak2izMaLb0Zw58TM8gfLL8wKMaLueRg6jl0dDu4tne83hmV5z0RwjEUlPIvefBLKC+hmKWkYO0rsM6fkD3NPKGacVflnAejLYz670SsJxkVGDvGACCCtIL1j7IhKfrfxcQkDKJ8i8N8D1A+AH26mIhAeVEq8hjhhF/s2qFRGVvjUJwU/r1lIQptZ5tGzccUsW4vYH2JyVQdeGadzdtz8TVyzDr0cio851nZaVOiYECCS4v0IKKyS9AlnXRElaRU0hM64C3OUPMrVCOC4C2wkIy7GHtY4QApH4ADL+RvBvAlNTRHnulorm05yIxIch8eHDnkNx+BwxijzX6wlZNdFqMhFvsWI3m0my21l3ID2sEo8ms7dtwy8NB82+vDz+3bmDZLujQteK3Wzm80GTsJrKce64JqIlPYruvAcKKvearIg1EWTgJjyEsJ8aldWElgTWnlGZSxE7orLZKYS4VwghhRC1trr8Ge07hQxPFMBvV1zD3OtGsSMnu8Z6fBYpcTCsfJffT543VPeWQ8SZTUw6fQk9GuyrYPYA+oELoeDtqguqqF1YB6FFSYkr6g9VtsiFEC2BIcD2qotTfZzerj29mjZj0Z7dFPh8aEJgM5m464QTaeisOT9eeT52t9+Pw2wO28Lu1m7z6Bi/JLKF/CvLWUlRd7CDqR2YGkHctWg21WdVEUw0LPLXgQeo5VrDpGl8fO4FvHz6UM7u2ImLuh3NFxdczP969Skec3bHzpVOs3eaLTRwOHCYzRUm+lg0jTGDzyAuTOJSQ2ccTw46NeR5hynAtZ2WYoo4ajLav464KM+niBTRYAJa6lilxBVhqZIiF0IMB3ZJKZdFMHaUEGKhEGJhenps4ptNmsaZHTrx1pnn8MLgIXRvUnpz56H+A2mVlEycxYIGxFksxFmsmMtR0I8MGMT8G27mo3PO58aefbCVk+xjM5lpHB/PNT164jCXfhlymM3c0vt4RnQ7mg6pDUKsKcn2VtRjsyiaIYo4RxVmHEb4JqCIAgKEA7BD0qsILSHWAilqORW6VoQQM4AmIU49AjyM4VapECnlWGAsGHHklZCxxkiy2/n18qv5a+tm1h08QJukFNx+P0/O+gO/L7h6XNvkFC49pjsHCgqYumEtv2/ahN1swa/rIcMWHRYLJ7ZsRf+WrSjw+fhixXJMmkBKyY29+nDZMd1ZsX8f6w8exF/mel3CN5u7cku3MApVOMHUudClEi1PvwXibzn0bdxoyH8hSnMrwmLujXAOB/vpCC3SoleKI5kKFbmU8rRQx4UQxwBtgWWFmZMtgMVCiOOllHujKmUNYtY0TmvXgdPadQAg1+PhiVl/BI2zmkx8dO755Hu9nPvVBA4UFBQX7bKbzLRJTGRPbi5CgJTQMM7JuHPOLy4P8NjAU7i330nsz8+jSXw8drPhTtmcmYkW4gXAo5tZm11Oyr0sAH+0rWYf7O+HnvYHmqkhWsK16ObOkH0ttdyTVrdJ+RRhCpNCr1CE4LA3O6WUK4BGRd8LIbYCvaWsX1koCTYbHwwbzk1TfzSykKVR5fCZUwbTNjmFz5cvJdvtLlV50R3wsys3h29HXIo34MdhsdC5QcOgMrtOi4U2yaUtrs4NGoQMk7Sb/BydEguXlAsyb4OGXxnfCj9KiRdhAiqO+68UtvPQlBJXVJIjJo68KvRv2ZoF/7uJudu34Q3onNSqFYk2OwALdu8KGWWiCcGGjAOc16Vb2Hmz3W7Mmkac9VAR/q5pjejepClL9uwuzkDVhMBhtnBxu22HIb0NKD+ssUL8S9Bz/8/I2tMzqjZXtWKmdAW+6kQjeg80DbRGkPI+miX834tCEY6oKXIpZZtozVUbsZstxe6WkrRLScFqMoXMGm2WkBhyrhX793H/9N/YnJmBAE5s2YqXTz+zOAxy3Dnn8/I/c/luzUo8gQADWrXhsYEnk2Ltgsx5GmQkylQDUyujhGnem5W51RBIyH+ninOUQGttdF5PeBUyTqzaXJZTIOlphKkR8uAI8K+IjowVEr2MA63J2qjNpTgyOaKKZlUH+/LyGDzhYwpKbIaahaB1cgq/X3FNkDtlf34egz/7mPyS4zWNNskpTLv86gq7HOk5L0DBJxULZj8fLflF45q93YkoY7BGsCEaLy++T33/YNB3HP50DWegmVsZc3lXQsYFVZCtquXQDgPnzWiJdx/WpVJKZMEEyP/Q6KFpOQqRMBph7R5dGRW1hnBFs+pNGdtY0Tg+nonnX0T7lFQsmgmLptGvZSu+uPDikEr5q5UrgjoZ+XWdPbk5LNi9K+QauncZetaD6Lnvg7VfBGVGzZDwzKFvUz6s7G1VE1ZI/aL0z6XBzyAahb+kXMyQ+ypSGrVJNOvRkDIORIPC8xpoXSKYRwNzLyL7OIR70Fbmo6QZMqb8fdhKHEDmvQ55r4K+D/AYXXkyrkL6VHeoIw3lI48C3Zs0ZfqV13KwoACryUSCLXy89+bMjJDVFyWwMyeb45u3KD6m6zocOBX03aUHm7oYxfyLrWwThiWpgaUnJH+AZjrkd9dsx6On/gSZN4Lci9FgoAnIrYd5x5XEeR9YWyNsQ4IebprJjp46Hg6eGeFkJa1mP3j+RGY/hkh+2ThrGwCN5xWP1nUX7A9noWrFbg3pW4M8OJJgH3tRXkDR7yzcG2ykb7YmtCZVV7RSL4D8TwkusOVG5r2DSFHlGY4klCKPIg0iSPXv3aw50zdvDNog1aWkW1oZyzT7jmAlDhBYB4nPg/tHwIpwXgS208t1y2jWztD4r0Pr+ffAgUEVyltlTG3QEkeFPS2lH7KfCXs+mLKuDw+4f0X3PwyenwwXg3MEmqkZAJrmQDf1gMDS4Kni7ir+r7B0RTqGg+tHDj0gzRgKurzIlCJLPMJO9fEPIqUM+l3p+V9A3msgc0HEQ/xdaHFXhp9H3w3CFOL5IcG3umI5FPUK5VqpYc7r0o0ku71Uuzm7ycyJLVrRpWFa6cGeGWFmkRDIBUyg70H61hHOItRzXkXf2wd9b2/07KcNKx/QzE3B3CfkNVFFetC9wZt50vMPevqZyH1HgX9eiAsrgw4H+kLus5D/NqSfjJ55T/FZLe0bsF9U5hobFHyE9B3aHBWJT0Pi48Y5TBjWeTglXtS4uKjvZTglXubhmv86Mvfl0tLnjYXcJ0HmGPPJXMh9Bj3v3fC3rDUBGSZCx9wu/HWKeolS5DVMvNXKlEuu4IIu3UixO2gSH89NvY/n3bPPDTG6nI23/OfBOxf86yH/LeS+Y9EDeaWv3jcACj4AsoEccH0O+48/pMwbToTEt0GkAHYjAkQ0Dr+mpT/E3QJp84n4T0ffAxnnoQcO9YGUvuXIzJsgsAlDEZbnlojkpTFEbLtnKrprSvG3wn4a4Cg5AGQOMnMUsrDfpBCi8C3HR2RWuF6B7JZg+aULCiYgAyUqWIaLKsoLHykktHhwXIjRf7MkdkT8beXIpKiPKNdKDEhzxjHmtDMYU9FA0RhkRSVri/BC5jXQcBIAev63Ya7Ngfy3IOFOADTnEHAeqrKg54+H3OdCXKdBygdomuF7121DwPNbhLLpkPsqJD8PgMx9h8hj2yuKCy8ndjz3XaSpDfiWIV1TCBm5I93gWwrWXkjpBe9/lB+54gShgdSBghDnTYDVmENrCHqIDWxhAd8SMA0tPOANHgOAD13X0cIUchOJjyK1RCj4zLgPU0tE4uMIa49y5FfUR5Qir82kvAsZF0Y+vmQMdcGn4cflf4nungGB7aClQeKDaPbTARDOq5Ce2eCdU/oa81GIwDbQOhrjkl9FZhwAX8kwUiehlRvgX37o/8WWeDmYu4K/nE1BrSWYW4FICP9A0XcVdtwJUK6LREbyUHFA3DUIc2ukSIbse0PcggDL8QjHMLD2QeZ/Bq4vQ6wtQWtQ+rqQPw8RVokDCGFGJNyDjL8b8CGENexYRf1GuVZqMZr1GGjwE2iH0YJLlH3lLkmGsWGKC/TtkHUret7HxmVCoKWOA+fVlHrO+1ciMy5C+jcXjrOgNfgC0v6G5A8gbTbEXx9+SVOJZCpzV0KH8dkgbZFRbbHhFDCH6cBuPgqt0R9oqZ9A/O3l3GfAuEe8hFfkenGHHCGsRnhn0MfCAo7z0BLuRjguQNgGYljdZbEjEu5GOC9CmNsgnJca15ZCA5EMll6HDlkHhxbNGtlmtBBCKfEjHKXIaznC3N7wq0ZCSWWZMLpyC+W9gizsWiSlCwq+obTLQoJ0I8tswGmmNDT7KWimJuC8ntAveQISHzz0XfytBPt2HeC8Es10qGSrSHzcOF7qz9QM8Yfm0iwdwXJSmJsqz88tABM4rqSkUhZJzxvp8iLOWFfEgbkNIuHeQ2OEGZH6sbG3IOILx9og4Y5Sbg1h6QhJLxlvDSLeuBdTW0TqeIQocU/Jb4PlhNLiWXpD8vvlyK9QHEJldtZypHcZMvMakPkVjNQgbQ6a6VDki55xM3iDKzeGQ6TNRpiaIH3rkRkjQ69paoWWFi6aBnTvGsi8DmTh5qaIh+S30Gz9S42T3qXI3OeMUDktGeKuRzivKa3gAOnfiDx4bRl/v4DEV9Cc5xhjpETmf1C4aejnkLUf6m+75Py6kVxl6YVI+QAhzIXzecHzB/i3grkL2AYiRHCdeSl94P3X+DlZj0dooatTSukF/1oQccaDOQy6ngf+DWDuiKbFhx2nOHIJl9mpfOS1HVFecSa7YQ1a+0Hi82im0laulvoeum8D5I4BGYCEeyFjRPj5RKHyMDUCGSacztSqXHE1a1doPA89kAtINFPoejPC2gPR4Nty5wKQ3oUhNm0l5NyHbj8dTbMjhED6N1C+Ai9xbcnzsgC8C8H9KziMB4MQVrBXnKAkhAVsAyIYZ4UIut1rWjxYj6twnEJRFqXIazvmowwFK8tsIgoHIvEZhCNU2OIhNEtHSB1X/L1u7W+ELZbF1M4IaQOEloy0nwnuaZTOHLQj4m8Ou5bU84xYaK1xKRfJ4SD9241okrxwGYoS8j9BmptCYKehiMuNcLEb16ARHL3iQrp+QAZ2gPt30FIQzqsQ9lOqdA8KRU2hFHktRwgNkt9BZl5bGPLmA0xgGwz2YZWfMPldOHguBLYeOqalQYOvSq+b9BxS2ME1GSPKIgkSHkdYg5OIpHQjsx8F928YfmUHMuFhNOfwSosnpY7MeQRcU0GYy3cp5b+HFFrhHkI4K9wEziuNaoum5pD9QOih3kXgXUBRWKT0LUb6/4emYrIVdQDlI68jSD0fPL+DngnWExCWo6o0n+5dC75/wdwdzRb+dV5KD+h5hpUqQu+N65l3gudPSseG2xEpYxG2vpWSSxZ8Z5TqjahaY7iwvSJMYDsFLcXYoJXSj9zfH2RmmXFFkSVl3Uk2RKPZqt2aotagfOR1HKHFgeP8qM2nWbuAteLKgELYwBS+CJjUM4yNwaCkFjcy//2IFLmUEnzLwLcCmT+eqChx4QQRXxj5UnhImCHlA2TmdcaeAV6Ki42FSlASFkMu28kRyKNQxA6lyBVVI3DAUHgyRHZiYGeFl0vpQWbcYCQMSZ3wWY5mEEmGiyfuash5hpA+cZEAjosRlk5gPxNRJp5eWHsgG3wNB4o2fSXhs0z1Mok7CkXtpMqKXAhxO3ArRtDuz1LKB6oslaLuYG5F6JR2E1iD3gCDkHkfGJuaFaXsa8mItLnF7h3dNdmwlkutbQXHxWglYtZDkvdB4XrlpeJroDUG89EV3IFCEXuqlBAkhDgFGA50l1IeBbwSFakUUUNKX3GiT3UghB3i7qB0QSpjw1PE3VLxBK5JlK/EzYADkfRyKR+9SHoZtJTCJhtFiTsdCpONKsA7j/BKvMi2kcYmcGBTxfMpFDGmqhb5zcAYKY1iFVLK/VUXSRENpG8VMvsx8K8GzEjHcETCIwit4prplUWLvx5pbmZY13o6WPogEu5EmMuPOTcIl31pAtupYG6LcIxEmFuWOivMrSBtJrinGy4cSzewDgi7IVta4BRDzuATHLJtJPgWIA9eDA2nIgrrmysUtZEqRa0IIZYCU4ChGAHH90kpF4QZOwoYBdCqVate27YdTkd4RSTIwG7kgbPLhO5ZwdoLLXV8zOQKhZ79DLi+IihixNwZreFP1bKmdE1BZj9O6U1VC8ZDpaylbgbnZWiJj1aLLApFZTjsnp1CiBlCiJUhvoZjWPSpQF/gfuAbEaZNjZRyrJSyt5Syd1paWqghiigh8yeE2Hz0gncJ0l+7XAUi4Q4jvru4D6kdRILhOqku7OdC3HWArTCb1WYU8grZC9Vf6ItXKGovFbpWpJSnhTsnhLgZ+F4aZv1/QggdaAiEem9V1BT+dYTsWCMshfVDwtf7qGmElgQNp4J7GtK7uNCVMtw4Xl1rCoFIuBMZdz34N4GpMRBApg8NMdoE5o7VJotCEQ2q6iOfDJwCzBRCdMIoI3egqkIpqojl2MIGCWWscumtlUpJCCs4zkEU1jqpsXW1eLAeaswsbf3B8zelN18tiLhyyvMqFLWAqpax/RhoJ4RYCXwFXC1jkSqqKIVwXg7CRuma33ajil9EG5DVj5QBpHs6eta96NmPI33LK76omhHJb4DjPIwuP2D8/ALI/PFGBUOFopZSJYtcGn/dV0RJFkWUEKY0aDAJmfO8UWZVOME5stb0cpRSR2bdDJ7/MDoKaUjXZGT8nWjlNaeoZoSwg/20wrZwAYxkIR+4JiMJIJJCtcBTKGKPyuyspwhzW0Tqh7EWIzSevwpdP0UVHXXADXlvGGGSpoYxE81onOEuc9QNrh+RCaOLK0QqFLUJpcgVNY70TAsuywuACen6BulbZWxCWo5GxN+EMHcIMbaaCOwOc0IDPQOUIlfUQlSrN0UMiCf0n54Oee+AZwYENoN7KvLghYZiryks3QnZT1SYwNSk5uRQKCqBUuSKGkc4LyR082IPRthk0X65DtJl+PprSrb4O0E4KKXMhQPi71INjhW1FqXIFZVCSon0LkTPfhY950Wkb3Wl5xCWbpBwP2A1aqSIOAwrPQw1GNEiLB0RqV+D7RTQUsHcFZH0ElrcVTUmg0JRWZSPXFEpZM6ThV2D3IBAFkxExt+GFj+qUvNocVciHcPAM8/oKGTtB+knFHb7KTs4ucpyVwZh6YxIUR3sFXUHZZErIkZ6l4J7MkaNEsmhaJO3kGE3CcMjtBSE4yyE/RQ0zQ6OSzB6a5bEUZhOr1AowqEUuSJipPt3kGVD8wCEEVJYRUTCfeA4m1I1UJyXIJxXV3luhaI+o1wrisgRNoysxzKdeYRG6M3LSk4vLIikF5AJD0BgD5haIrSEKs+rUNR3lEWuiBijFkqIZ7/UwT44eutoKQhLN6XEFYoIUYpcETHC3A4SHsRwfTgAJ2CHpFdVp3mFIoYo14qiUmhxlyPtQ8AzG4QZbKcgtMRYi6VQHNEoRa6oNMKUBs4LYy2GQqEoRLlWFAqFoo6jFLlCoVDUcZQiVygUijqOUuQKhUJRx1GKXKFQKOo4IhYtNoUQ6cC2Gl/48GhI3WkorWStHuqSrFC35FWyVo7WUsq0sgdjosjrEkKIhVLK3rGWIxKUrNVDXZIV6pa8StbooFwrCoVCUcdRilyhUCjqOEqRV8zYWAtQCZSs1UNdkhXqlrxK1iigfOQKhUJRx1EWuUKhUNRxlCJXKBSKOo5S5JVACHGvEEIKIRrGWpZwCCFeFkKsFUIsF0L8IIRIjrVMZRFCDBVCrBNCbBRCPBRrecIhhGgphJgphFgthFglhLgz1jJVhBDCJIRYIoSYGmtZykMIkSyEmFT4t7pGCNEv1jKFQwhxd+Hvf6UQ4kshRNnGsjFHKfIIEUK0BIYA22MtSwVMB46WUh4LrAdGx1ieUgghTMA7wJlAN+BSIUS32EoVFj9wr5SyG9AXuLUWy1rEncCaWAsRAf8H/Cal7AJ0p5bKLIRoDtwB9JZSHo3R6/CS2EoVjFLkkfM68ABG+/hai5TydyllUVPNf4EWsZQnBMcDG6WUm6WUXuArYHiMZQqJlHKPlHJx4f9zMZRN89hKFR4hRAvgbOCjWMtSHkKIJGAgMA5ASumVUmbFVKjyMQMOIYQZoy3W7hjLE4RS5BEghBgO7JJSLou1LJXkOuDXWAtRhubAjhLf76QWK8cihBBtgOOA+TEWpTzewDA29BjLURFtgXTgk0I30EdCiLhYCxUKKeUu4BWMN/E9QLaU8vfYShWMUuSFCCFmFPrAyn4NBx4GHo+1jEVUIGvRmEcwXAMTYydp/UAIEQ98B9wlpcyJtTyhEEIMA/ZLKRfFWpYIMAM9gfeklMcB+UCt3CsRQqRgvDG2BZoBcUKIK2IrVTCq1VshUsrTQh0XQhyD8UtcJoQAw1WxWAhxvJRybw2KWEw4WYsQQlwDDAMGy9qXKLALaFni+xaFx2olQggLhhKfKKX8PtbylEN/4FwhxFmAHUgUQnwupax1SgfjLWynlLLo7WYStVSRA6cBW6SU6QBCiO+BE4HPYypVGZRFXgFSyhVSykZSyjZSyjYYf4Q9Y6XEK0IIMRTj9fpcKWVBrOUJwQKgoxCirRDCirFx9GOMZQqJMJ7c44A1UsrXYi1PeUgpR0spWxT+jV4C/FlLlTiFn50dQojOhYcGA6tjKFJ5bAf6CiGchX8Pg6mFG7PKIq9/vA3YgOmFbxD/Silviq1Ih5BS+oUQtwHTMCIAPpZSroqxWOHoD1wJrBBCLC089rCU8pfYiVRvuB2YWPgw3wxcG2N5QiKlnC+EmAQsxnBVLqEWpuqrFH2FQqGo4yjXikKhUNRxlCJXKBSKOo5S5AqFQlHHUYpcoVAo6jhKkSsUCkUdRylyhUKhqOMoRa5QKBR1nP8H/T+kJulXTqQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "max_iterations = 100\n",
    "centroid_count = 3\n",
    "\n",
    "centroids = random_centroids(players, centroid_count)\n",
    "old_centroids = pd.DataFrame()\n",
    "iteration = 1\n",
    "\n",
    "while iteration < max_iterations and not centroids.equals(old_centroids):\n",
    "    old_centroids = centroids\n",
    "    \n",
    "    labels = get_labels(players, centroids)\n",
    "    centroids = new_centroids(players, labels, centroid_count)\n",
    "    plot_clusters(players, labels, centroids, iteration)\n",
    "    iteration += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "17bbb787",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:37.340426Z",
     "iopub.status.busy": "2023-01-17T16:32:37.340049Z",
     "iopub.status.idle": "2023-01-17T16:32:37.353029Z",
     "shell.execute_reply": "2023-01-17T16:32:37.352133Z"
    },
    "papermill": {
     "duration": 0.028555,
     "end_time": "2023-01-17T16:32:37.355227",
     "exception": false,
     "start_time": "2023-01-17T16:32:37.326672",
     "status": "completed"
    },
    "tags": []
   },
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>overall</th>\n",
       "      <td>6.336567</td>\n",
       "      <td>3.443294</td>\n",
       "      <td>5.200401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>potential</th>\n",
       "      <td>7.107863</td>\n",
       "      <td>5.362259</td>\n",
       "      <td>4.894314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wage_eur</th>\n",
       "      <td>1.460086</td>\n",
       "      <td>1.031502</td>\n",
       "      <td>1.130802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>value_eur</th>\n",
       "      <td>1.313192</td>\n",
       "      <td>1.029525</td>\n",
       "      <td>1.049844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>3.877681</td>\n",
       "      <td>2.678624</td>\n",
       "      <td>5.962199</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  0         1         2\n",
       "overall    6.336567  3.443294  5.200401\n",
       "potential  7.107863  5.362259  4.894314\n",
       "wage_eur   1.460086  1.031502  1.130802\n",
       "value_eur  1.313192  1.029525  1.049844\n",
       "age        3.877681  2.678624  5.962199"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "centroids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a997ad2c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:37.381328Z",
     "iopub.status.busy": "2023-01-17T16:32:37.380923Z",
     "iopub.status.idle": "2023-01-17T16:32:37.389413Z",
     "shell.execute_reply": "2023-01-17T16:32:37.388291Z"
    },
    "papermill": {
     "duration": 0.023908,
     "end_time": "2023-01-17T16:32:37.391583",
     "exception": false,
     "start_time": "2023-01-17T16:32:37.367675",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    7192\n",
       "1    6198\n",
       "0    5775\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels.value_counts()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "663b24ed",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:37.417148Z",
     "iopub.status.busy": "2023-01-17T16:32:37.416233Z",
     "iopub.status.idle": "2023-01-17T16:32:37.441983Z",
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    {
     "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>short_name</th>\n",
       "      <th>overall</th>\n",
       "      <th>potential</th>\n",
       "      <th>wage_eur</th>\n",
       "      <th>value_eur</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>L. Messi</td>\n",
       "      <td>93</td>\n",
       "      <td>93</td>\n",
       "      <td>320000.0</td>\n",
       "      <td>78000000.0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R. Lewandowski</td>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>119500000.0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cristiano Ronaldo</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>45000000.0</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Neymar Jr</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>270000.0</td>\n",
       "      <td>129000000.0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>K. De Bruyne</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>350000.0</td>\n",
       "      <td>125500000.0</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13256</th>\n",
       "      <td>L. Bate</td>\n",
       "      <td>63</td>\n",
       "      <td>83</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13351</th>\n",
       "      <td>Llabrés</td>\n",
       "      <td>63</td>\n",
       "      <td>81</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>1200000.0</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14026</th>\n",
       "      <td>M. Azeez</td>\n",
       "      <td>62</td>\n",
       "      <td>83</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14144</th>\n",
       "      <td>H. Mejbri</td>\n",
       "      <td>62</td>\n",
       "      <td>84</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14349</th>\n",
       "      <td>R. Lavia</td>\n",
       "      <td>62</td>\n",
       "      <td>85</td>\n",
       "      <td>700.0</td>\n",
       "      <td>1200000.0</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5775 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              short_name  overall  potential  wage_eur    value_eur  age\n",
       "0               L. Messi       93         93  320000.0   78000000.0   34\n",
       "1         R. Lewandowski       92         92  270000.0  119500000.0   32\n",
       "2      Cristiano Ronaldo       91         91  270000.0   45000000.0   36\n",
       "3              Neymar Jr       91         91  270000.0  129000000.0   29\n",
       "4           K. De Bruyne       91         91  350000.0  125500000.0   30\n",
       "...                  ...      ...        ...       ...          ...  ...\n",
       "13256            L. Bate       63         83    5000.0    1300000.0   18\n",
       "13351            Llabrés       63         81    3000.0    1200000.0   19\n",
       "14026           M. Azeez       62         83    4000.0    1300000.0   18\n",
       "14144          H. Mejbri       62         84    6000.0    1300000.0   18\n",
       "14349           R. Lavia       62         85     700.0    1200000.0   17\n",
       "\n",
       "[5775 rows x 6 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[labels == 0][[\"short_name\"] + features]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d482ac11",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:37.470395Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(n_clusters=3)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "kmeans = KMeans(3)\n",
    "kmeans.fit(players)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d7d677e9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-01-17T16:32:39.133250Z",
     "iopub.status.busy": "2023-01-17T16:32:39.132833Z",
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     "shell.execute_reply": "2023-01-17T16:32:39.144098Z"
    },
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     "start_time": "2023-01-17T16:32:39.119048",
     "status": "completed"
    },
    "tags": []
   },
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>overall</th>\n",
       "      <td>6.805433</td>\n",
       "      <td>5.227071</td>\n",
       "      <td>3.882352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>potential</th>\n",
       "      <td>7.247853</td>\n",
       "      <td>4.897603</td>\n",
       "      <td>5.668874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wage_eur</th>\n",
       "      <td>1.727390</td>\n",
       "      <td>1.126257</td>\n",
       "      <td>1.044073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>value_eur</th>\n",
       "      <td>1.458604</td>\n",
       "      <td>1.044653</td>\n",
       "      <td>1.039539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>4.479248</td>\n",
       "      <td>6.120656</td>\n",
       "      <td>2.900211</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  0         1         2\n",
       "overall    6.805433  5.227071  3.882352\n",
       "potential  7.247853  4.897603  5.668874\n",
       "wage_eur   1.727390  1.126257  1.044073\n",
       "value_eur  1.458604  1.044653  1.039539\n",
       "age        4.479248  6.120656  2.900211"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(kmeans.cluster_centers_, columns=features).T"
   ]
  },
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   "id": "48a9f9b3",
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