Lesson02/Activity02.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Activity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Team</th>\n",
       "      <th>NOC</th>\n",
       "      <th>Games</th>\n",
       "      <th>Year</th>\n",
       "      <th>Season</th>\n",
       "      <th>City</th>\n",
       "      <th>Sport</th>\n",
       "      <th>Event</th>\n",
       "      <th>Medal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>A Dijiang</td>\n",
       "      <td>M</td>\n",
       "      <td>24.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>China</td>\n",
       "      <td>CHN</td>\n",
       "      <td>1992 Summer</td>\n",
       "      <td>1992</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>Basketball Men's Basketball</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>A Lamusi</td>\n",
       "      <td>M</td>\n",
       "      <td>23.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>China</td>\n",
       "      <td>CHN</td>\n",
       "      <td>2012 Summer</td>\n",
       "      <td>2012</td>\n",
       "      <td>Summer</td>\n",
       "      <td>London</td>\n",
       "      <td>Judo</td>\n",
       "      <td>Judo Men's Extra-Lightweight</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Gunnar Nielsen Aaby</td>\n",
       "      <td>M</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>DEN</td>\n",
       "      <td>1920 Summer</td>\n",
       "      <td>1920</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Antwerpen</td>\n",
       "      <td>Football</td>\n",
       "      <td>Football Men's Football</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Edgar Lindenau Aabye</td>\n",
       "      <td>M</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Denmark/Sweden</td>\n",
       "      <td>DEN</td>\n",
       "      <td>1900 Summer</td>\n",
       "      <td>1900</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Paris</td>\n",
       "      <td>Tug-Of-War</td>\n",
       "      <td>Tug-Of-War Men's Tug-Of-War</td>\n",
       "      <td>Gold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Christine Jacoba Aaftink</td>\n",
       "      <td>F</td>\n",
       "      <td>21.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NED</td>\n",
       "      <td>1988 Winter</td>\n",
       "      <td>1988</td>\n",
       "      <td>Winter</td>\n",
       "      <td>Calgary</td>\n",
       "      <td>Speed Skating</td>\n",
       "      <td>Speed Skating Women's 500 metres</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID                      Name Sex   Age  Height  Weight            Team  \\\n",
       "0   1                 A Dijiang   M  24.0   180.0    80.0           China   \n",
       "1   2                  A Lamusi   M  23.0   170.0    60.0           China   \n",
       "2   3       Gunnar Nielsen Aaby   M  24.0     NaN     NaN         Denmark   \n",
       "3   4      Edgar Lindenau Aabye   M  34.0     NaN     NaN  Denmark/Sweden   \n",
       "4   5  Christine Jacoba Aaftink   F  21.0   185.0    82.0     Netherlands   \n",
       "\n",
       "   NOC        Games  Year  Season       City          Sport  \\\n",
       "0  CHN  1992 Summer  1992  Summer  Barcelona     Basketball   \n",
       "1  CHN  2012 Summer  2012  Summer     London           Judo   \n",
       "2  DEN  1920 Summer  1920  Summer  Antwerpen       Football   \n",
       "3  DEN  1900 Summer  1900  Summer      Paris     Tug-Of-War   \n",
       "4  NED  1988 Winter  1988  Winter    Calgary  Speed Skating   \n",
       "\n",
       "                              Event Medal  \n",
       "0       Basketball Men's Basketball   NaN  \n",
       "1      Judo Men's Extra-Lightweight   NaN  \n",
       "2           Football Men's Football   NaN  \n",
       "3       Tug-Of-War Men's Tug-Of-War  Gold  \n",
       "4  Speed Skating Women's 500 metres   NaN  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load necessary modules\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from numpy import median, mean\n",
    "\n",
    "# download file 'athlete_events.csv' from course github repository: https://github.com/TrainingByPackt/Interactive-Data-Visualization-with-Python\n",
    "# read the dataset as a pandas dataframe\n",
    "olympics_df = pd.read_csv('https://raw.githubusercontent.com/TrainingByPackt/Interactive-Data-Visualization-with-Python/master/datasets/athlete_events.csv')\n",
    "\n",
    "# preview dataframe\n",
    "olympics_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Team</th>\n",
       "      <th>NOC</th>\n",
       "      <th>Games</th>\n",
       "      <th>Year</th>\n",
       "      <th>Season</th>\n",
       "      <th>City</th>\n",
       "      <th>Sport</th>\n",
       "      <th>Event</th>\n",
       "      <th>Medal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>62</td>\n",
       "      <td>Giovanni Abagnale</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Italy</td>\n",
       "      <td>ITA</td>\n",
       "      <td>2016 Summer</td>\n",
       "      <td>2016</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Rio de Janeiro</td>\n",
       "      <td>Rowing</td>\n",
       "      <td>Rowing Men's Coxless Pairs</td>\n",
       "      <td>Bronze</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>814</th>\n",
       "      <td>465</td>\n",
       "      <td>Matthew \"Matt\" Abood</td>\n",
       "      <td>M</td>\n",
       "      <td>30.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>Australia</td>\n",
       "      <td>AUS</td>\n",
       "      <td>2016 Summer</td>\n",
       "      <td>2016</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Rio de Janeiro</td>\n",
       "      <td>Swimming</td>\n",
       "      <td>Swimming Men's 4 x 100 metres Freestyle Relay</td>\n",
       "      <td>Bronze</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1228</th>\n",
       "      <td>690</td>\n",
       "      <td>Chantal Achterberg</td>\n",
       "      <td>F</td>\n",
       "      <td>31.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NED</td>\n",
       "      <td>2016 Summer</td>\n",
       "      <td>2016</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Rio de Janeiro</td>\n",
       "      <td>Rowing</td>\n",
       "      <td>Rowing Women's Quadruple Sculls</td>\n",
       "      <td>Silver</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1529</th>\n",
       "      <td>846</td>\n",
       "      <td>Valerie Kasanita Adams-Vili (-Price)</td>\n",
       "      <td>F</td>\n",
       "      <td>31.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>New Zealand</td>\n",
       "      <td>NZL</td>\n",
       "      <td>2016 Summer</td>\n",
       "      <td>2016</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Rio de Janeiro</td>\n",
       "      <td>Athletics</td>\n",
       "      <td>Athletics Women's Shot Put</td>\n",
       "      <td>Silver</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1847</th>\n",
       "      <td>1017</td>\n",
       "      <td>Nathan Ghar-Jun Adrian</td>\n",
       "      <td>M</td>\n",
       "      <td>27.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>United States</td>\n",
       "      <td>USA</td>\n",
       "      <td>2016 Summer</td>\n",
       "      <td>2016</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Rio de Janeiro</td>\n",
       "      <td>Swimming</td>\n",
       "      <td>Swimming Men's 50 metres Freestyle</td>\n",
       "      <td>Bronze</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID                                  Name Sex   Age  Height  Weight  \\\n",
       "158     62                     Giovanni Abagnale   M  21.0   198.0    90.0   \n",
       "814    465                  Matthew \"Matt\" Abood   M  30.0   197.0    92.0   \n",
       "1228   690                    Chantal Achterberg   F  31.0   172.0    72.0   \n",
       "1529   846  Valerie Kasanita Adams-Vili (-Price)   F  31.0   193.0   120.0   \n",
       "1847  1017                Nathan Ghar-Jun Adrian   M  27.0   198.0   100.0   \n",
       "\n",
       "               Team  NOC        Games  Year  Season            City  \\\n",
       "158           Italy  ITA  2016 Summer  2016  Summer  Rio de Janeiro   \n",
       "814       Australia  AUS  2016 Summer  2016  Summer  Rio de Janeiro   \n",
       "1228    Netherlands  NED  2016 Summer  2016  Summer  Rio de Janeiro   \n",
       "1529    New Zealand  NZL  2016 Summer  2016  Summer  Rio de Janeiro   \n",
       "1847  United States  USA  2016 Summer  2016  Summer  Rio de Janeiro   \n",
       "\n",
       "          Sport                                          Event   Medal  \n",
       "158      Rowing                     Rowing Men's Coxless Pairs  Bronze  \n",
       "814    Swimming  Swimming Men's 4 x 100 metres Freestyle Relay  Bronze  \n",
       "1228     Rowing                Rowing Women's Quadruple Sculls  Silver  \n",
       "1529  Athletics                     Athletics Women's Shot Put  Silver  \n",
       "1847   Swimming             Swimming Men's 50 metres Freestyle  Bronze  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filter the dataframe to contain medal winners only (for non-winners, the Medal feature is NaN)\n",
    "# note use of the inplace parameter\n",
    "olympics_winners = olympics_df.dropna(subset=['Medal'])\n",
    "\n",
    "# list the top 5 sports\n",
    "top_sports = ['Athletics', 'Swimming', 'Rowing', 'Football', 'Hockey']\n",
    "\n",
    "# filter dataframe to include 2016 records of specified sports\n",
    "olympics_top_sports_winners_2016 = olympics_winners[(olympics_winners.Sport.isin(top_sports)) & (olympics_winners.Year == 2016)]\n",
    "olympics_top_sports_winners_2016.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>732.000000</td>\n",
       "      <td>729.000000</td>\n",
       "      <td>727.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>25.577869</td>\n",
       "      <td>180.023320</td>\n",
       "      <td>73.720770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.451373</td>\n",
       "      <td>10.076398</td>\n",
       "      <td>14.279014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>22.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>64.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>25.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>72.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>82.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>40.000000</td>\n",
       "      <td>207.000000</td>\n",
       "      <td>136.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Age      Height      Weight\n",
       "count  732.000000  729.000000  727.000000\n",
       "mean    25.577869  180.023320   73.720770\n",
       "std      4.451373   10.076398   14.279014\n",
       "min     16.000000  150.000000   40.000000\n",
       "25%     22.000000  173.000000   64.000000\n",
       "50%     25.000000  180.000000   72.000000\n",
       "75%     29.000000  187.000000   82.000000\n",
       "max     40.000000  207.000000  136.000000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics_top_sports_winners_2016[['Age', 'Height', 'Weight']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import the seaborn library\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "fig1 = plt.figure()\n",
    "ax = fig1.add_subplot(111)\n",
    "ax = sns.scatterplot(x=\"Height\", y=\"Weight\", data=olympics_top_sports_winners_2016)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x26c664a1860>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"ticks\")\n",
    "\n",
    "## hexbin plot\n",
    "sns.jointplot(olympics_top_sports_winners_2016.Height, olympics_top_sports_winners_2016.Weight, kind=\"hex\", color=\"#4CB391\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('white')\n",
    "ax1 = sns.violinplot(x='Medal', y='Weight', data=olympics_top_sports_winners_2016, hue='Sex')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax2 = sns.violinplot(x='Medal', y='Height', data=olympics_top_sports_winners_2016, hue='Sex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}