{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization with Pandas and Matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import library \n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "# display plot in the notebook \n",
    "%matplotlib inline \n",
    "\n",
    "# set figuresize and fontsize \n",
    "plt.rcParams['figure.figsize'] = (8,6) \n",
    "plt.rcParams['font.size'] = 14 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read data \n",
    "drink_cols = [\"country\", 'beer', 'spirit', 'wine', 'liters', 'continent']\n",
    "drinks = pd.read_csv(\"../data/drinks.csv\", header=0, names=drink_cols, na_filter=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>beer</th>\n",
       "      <th>spirit</th>\n",
       "      <th>wine</th>\n",
       "      <th>liters</th>\n",
       "      <th>continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>AS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>89</td>\n",
       "      <td>132</td>\n",
       "      <td>54</td>\n",
       "      <td>4.9</td>\n",
       "      <td>EU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0.7</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>245</td>\n",
       "      <td>138</td>\n",
       "      <td>312</td>\n",
       "      <td>12.4</td>\n",
       "      <td>EU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Angola</td>\n",
       "      <td>217</td>\n",
       "      <td>57</td>\n",
       "      <td>45</td>\n",
       "      <td>5.9</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       country  beer  spirit  wine  liters continent\n",
       "0  Afghanistan     0       0     0     0.0        AS\n",
       "1      Albania    89     132    54     4.9        EU\n",
       "2      Algeria    25       0    14     0.7        AF\n",
       "3      Andorra   245     138   312    12.4        EU\n",
       "4       Angola   217      57    45     5.9        AF"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# examine first few rows \n",
    "drinks.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(193, 6)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# observations and columns \n",
    "drinks.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 193 entries, 0 to 192\n",
      "Data columns (total 6 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   country    193 non-null    object \n",
      " 1   beer       193 non-null    int64  \n",
      " 2   spirit     193 non-null    int64  \n",
      " 3   wine       193 non-null    int64  \n",
      " 4   liters     193 non-null    float64\n",
      " 5   continent  193 non-null    object \n",
      "dtypes: float64(1), int64(3), object(2)\n",
      "memory usage: 9.2+ KB\n"
     ]
    }
   ],
   "source": [
    "# data structure \n",
    "drinks.info() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>beer</th>\n",
       "      <th>spirit</th>\n",
       "      <th>wine</th>\n",
       "      <th>liters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>193.000000</td>\n",
       "      <td>193.000000</td>\n",
       "      <td>193.000000</td>\n",
       "      <td>193.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>106.160622</td>\n",
       "      <td>80.994819</td>\n",
       "      <td>49.450777</td>\n",
       "      <td>4.717098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>101.143103</td>\n",
       "      <td>88.284312</td>\n",
       "      <td>79.697598</td>\n",
       "      <td>3.773298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>76.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>4.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>188.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>7.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>376.000000</td>\n",
       "      <td>438.000000</td>\n",
       "      <td>370.000000</td>\n",
       "      <td>14.400000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             beer      spirit        wine      liters\n",
       "count  193.000000  193.000000  193.000000  193.000000\n",
       "mean   106.160622   80.994819   49.450777    4.717098\n",
       "std    101.143103   88.284312   79.697598    3.773298\n",
       "min      0.000000    0.000000    0.000000    0.000000\n",
       "25%     20.000000    4.000000    1.000000    1.300000\n",
       "50%     76.000000   56.000000    8.000000    4.200000\n",
       "75%    188.000000  128.000000   59.000000    7.200000\n",
       "max    376.000000  438.000000  370.000000   14.400000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# numerical summary \n",
    "drinks.describe() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Histogram: show the distribution of a numerical variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "         0,   0,   1,   1,   1,   1,   2,   3,   5,   5,   5,   5,   5,\n",
       "         6,   6,   6,   6,   8,   8,   8,   9,   9,   9,   9,  12,  13,\n",
       "        15,  15,  16,  16,  17,  18,  19,  19,  20,  20,  21,  21,  21,\n",
       "        21,  22,  23,  25,  25,  25,  25,  26,  28,  31,  31,  31,  31,\n",
       "        32,  32,  34,  36,  36,  36,  37,  42,  42,  43,  44,  45,  47,\n",
       "        49,  51,  51,  52,  52,  52,  53,  56,  56,  57,  58,  60,  62,\n",
       "        62,  63,  64,  69,  71,  76,  76,  77,  77,  77,  78,  79,  82,\n",
       "        82,  85,  88,  89,  90,  92,  93,  93,  98,  99, 102, 105, 106,\n",
       "       109, 111, 115, 120, 122, 124, 127, 128, 130, 133, 140, 142, 143,\n",
       "       144, 147, 149, 149, 152, 157, 159, 162, 163, 167, 169, 171, 173,\n",
       "       185, 188, 192, 193, 193, 194, 194, 196, 197, 199, 203, 206, 213,\n",
       "       217, 219, 224, 224, 225, 230, 231, 233, 234, 236, 238, 240, 245,\n",
       "       245, 247, 249, 251, 261, 263, 263, 270, 279, 281, 283, 284, 285,\n",
       "       295, 297, 306, 313, 333, 343, 343, 346, 347, 361, 376])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort the beer columns and split it into 3 groups \n",
    "drinks.beer.sort_values().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare with histogram \n",
    "drinks.beer.plot(kind=\"hist\", bins=3);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# try more bins \n",
    "drinks.beer.plot(kind=\"hist\", bins=20); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# add title and labels \n",
    "drinks.beer.plot(kind=\"hist\", bins=20, title=\"Histogram of Beer Servings\")\n",
    "plt.xlabel(\"Beer Survings\") \n",
    "plt.ylabel(\"Frequency\")\n",
    "# show plot \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare with density plot(smooth version of a histogram) \n",
    "drinks.beer.plot(kind=\"density\", xlim=(0, 500));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter Plot: show the relationship between two numerical variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0,   0],\n",
       "       [  0,  74],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  0,   0],\n",
       "       [  1,   7],\n",
       "       [  1,   1],\n",
       "       [  1,   4],\n",
       "       [  1,   1],\n",
       "       [  2,   0],\n",
       "       [  3,   1],\n",
       "       [  5,   0],\n",
       "       [  5,   0],\n",
       "       [  5,  16],\n",
       "       [  5,   1],\n",
       "       [  5,   0],\n",
       "       [  6,   1],\n",
       "       [  6,   0],\n",
       "       [  6,   1],\n",
       "       [  6,   9],\n",
       "       [  8,   0],\n",
       "       [  8,   1],\n",
       "       [  8,   1],\n",
       "       [  9,   2],\n",
       "       [  9,   0],\n",
       "       [  9,   7],\n",
       "       [  9,   0],\n",
       "       [ 12,  10],\n",
       "       [ 13,   0],\n",
       "       [ 15,   3],\n",
       "       [ 15,   1],\n",
       "       [ 16,   5],\n",
       "       [ 16,   0],\n",
       "       [ 17,   1],\n",
       "       [ 18,   0],\n",
       "       [ 19,  32],\n",
       "       [ 19,   2],\n",
       "       [ 20,   0],\n",
       "       [ 20,  31],\n",
       "       [ 21,  11],\n",
       "       [ 21,  11],\n",
       "       [ 21,   5],\n",
       "       [ 21,   1],\n",
       "       [ 22,   1],\n",
       "       [ 23,   0],\n",
       "       [ 25,   8],\n",
       "       [ 25,  14],\n",
       "       [ 25,   2],\n",
       "       [ 25,   7],\n",
       "       [ 26,   4],\n",
       "       [ 28,  21],\n",
       "       [ 31, 128],\n",
       "       [ 31,   6],\n",
       "       [ 31,  10],\n",
       "       [ 31,   1],\n",
       "       [ 32,   4],\n",
       "       [ 32,   1],\n",
       "       [ 34,  13],\n",
       "       [ 36,  19],\n",
       "       [ 36,   5],\n",
       "       [ 36,   1],\n",
       "       [ 37,   7],\n",
       "       [ 42,   2],\n",
       "       [ 42,   7],\n",
       "       [ 43,   0],\n",
       "       [ 44,   1],\n",
       "       [ 45,   0],\n",
       "       [ 47,   5],\n",
       "       [ 49,   8],\n",
       "       [ 51,  20],\n",
       "       [ 51,   7],\n",
       "       [ 52,   2],\n",
       "       [ 52, 149],\n",
       "       [ 52,  26],\n",
       "       [ 53,   2],\n",
       "       [ 56, 140],\n",
       "       [ 56,   1],\n",
       "       [ 57,   1],\n",
       "       [ 58,   2],\n",
       "       [ 60,  11],\n",
       "       [ 62,  18],\n",
       "       [ 62, 123],\n",
       "       [ 63,   9],\n",
       "       [ 64,   4],\n",
       "       [ 69,   2],\n",
       "       [ 71,   1],\n",
       "       [ 76,   8],\n",
       "       [ 76,   9],\n",
       "       [ 77,   8],\n",
       "       [ 77,  16],\n",
       "       [ 77,   1],\n",
       "       [ 78,   1],\n",
       "       [ 79,   8],\n",
       "       [ 82,   9],\n",
       "       [ 82,   0],\n",
       "       [ 85, 237],\n",
       "       [ 88,   0],\n",
       "       [ 89,  54],\n",
       "       [ 90,   2],\n",
       "       [ 92, 233],\n",
       "       [ 93,   5],\n",
       "       [ 93,   1],\n",
       "       [ 98,  18],\n",
       "       [ 99,   1],\n",
       "       [102,  45],\n",
       "       [105,  24],\n",
       "       [106,  86],\n",
       "       [109,  18],\n",
       "       [111,   1],\n",
       "       [115, 220],\n",
       "       [120,  11],\n",
       "       [122,  51],\n",
       "       [124,  12],\n",
       "       [127, 370],\n",
       "       [128,   7],\n",
       "       [130, 172],\n",
       "       [133, 218],\n",
       "       [140,   9],\n",
       "       [142,  42],\n",
       "       [143,  36],\n",
       "       [144,  16],\n",
       "       [147,   4],\n",
       "       [149, 120],\n",
       "       [149,  11],\n",
       "       [152, 186],\n",
       "       [157,  51],\n",
       "       [159,   3],\n",
       "       [162,   3],\n",
       "       [163,  21],\n",
       "       [167,   8],\n",
       "       [169, 129],\n",
       "       [171,  71],\n",
       "       [173,  35],\n",
       "       [185, 280],\n",
       "       [188,   7],\n",
       "       [192, 113],\n",
       "       [193,   9],\n",
       "       [193, 221],\n",
       "       [194, 339],\n",
       "       [194,  32],\n",
       "       [196, 116],\n",
       "       [197,   7],\n",
       "       [199,  28],\n",
       "       [203, 175],\n",
       "       [206,  45],\n",
       "       [213,  74],\n",
       "       [217,  45],\n",
       "       [219, 195],\n",
       "       [224,  59],\n",
       "       [224, 278],\n",
       "       [225,  81],\n",
       "       [230, 254],\n",
       "       [231,  94],\n",
       "       [233,  78],\n",
       "       [234, 185],\n",
       "       [236, 271],\n",
       "       [238,   5],\n",
       "       [240, 100],\n",
       "       [245, 312],\n",
       "       [245,  16],\n",
       "       [247,  73],\n",
       "       [249,  84],\n",
       "       [251, 190],\n",
       "       [261, 212],\n",
       "       [263,  97],\n",
       "       [263,   8],\n",
       "       [270, 276],\n",
       "       [279, 191],\n",
       "       [281,  62],\n",
       "       [283, 127],\n",
       "       [284, 112],\n",
       "       [285,  18],\n",
       "       [295, 212],\n",
       "       [297, 167],\n",
       "       [306,  23],\n",
       "       [313, 165],\n",
       "       [333,   3],\n",
       "       [343,  56],\n",
       "       [343,  56],\n",
       "       [346, 175],\n",
       "       [347,  59],\n",
       "       [361, 134],\n",
       "       [376,   1]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# select the beer and wine columns and sort by beer \n",
    "drinks[[\"beer\", \"wine\"]].sort_values(by=\"beer\").values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# comapre with scatter plot \n",
    "drinks.plot(kind=\"scatter\", x=\"beer\", y=\"wine\"); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# add transparency \n",
    "drinks.plot(kind='scatter', x=\"beer\", y=\"wine\", alpha=0.3); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# vary point color by spirit servings \n",
    "drinks.plot(kind=\"scatter\", x=\"beer\", y=\"wine\", c=\"spirit\", colormap=\"Blues\"); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# scatter matrix of 3 numerical columns \n",
    "pd.plotting.scatter_matrix(drinks[['beer', 'wine', 'spirit']]); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# increase figure size \n",
    "# scatter matrix of 3 numerical columns \n",
    "pd.plotting.scatter_matrix(drinks[['beer', 'wine', 'spirit']], figsize=(10,8)); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Bar Plot: show a numerical comparison across different categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AF    53\n",
       "EU    45\n",
       "AS    44\n",
       "NA    23\n",
       "OC    16\n",
       "SA    12\n",
       "Name: continent, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count the number of countries in each continent \n",
    "drinks.continent.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare with bar plot \n",
    "drinks.continent.value_counts().plot(kind=\"bar\"); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>beer</th>\n",
       "      <th>spirit</th>\n",
       "      <th>wine</th>\n",
       "      <th>liters</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AF</th>\n",
       "      <td>61.471698</td>\n",
       "      <td>16.339623</td>\n",
       "      <td>16.264151</td>\n",
       "      <td>3.007547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AS</th>\n",
       "      <td>37.045455</td>\n",
       "      <td>60.840909</td>\n",
       "      <td>9.068182</td>\n",
       "      <td>2.170455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EU</th>\n",
       "      <td>193.777778</td>\n",
       "      <td>132.555556</td>\n",
       "      <td>142.222222</td>\n",
       "      <td>8.617778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NA</th>\n",
       "      <td>145.434783</td>\n",
       "      <td>165.739130</td>\n",
       "      <td>24.521739</td>\n",
       "      <td>5.995652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OC</th>\n",
       "      <td>89.687500</td>\n",
       "      <td>58.437500</td>\n",
       "      <td>35.625000</td>\n",
       "      <td>3.381250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SA</th>\n",
       "      <td>175.083333</td>\n",
       "      <td>114.750000</td>\n",
       "      <td>62.416667</td>\n",
       "      <td>6.308333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 beer      spirit        wine    liters\n",
       "continent                                              \n",
       "AF          61.471698   16.339623   16.264151  3.007547\n",
       "AS          37.045455   60.840909    9.068182  2.170455\n",
       "EU         193.777778  132.555556  142.222222  8.617778\n",
       "NA         145.434783  165.739130   24.521739  5.995652\n",
       "OC          89.687500   58.437500   35.625000  3.381250\n",
       "SA         175.083333  114.750000   62.416667  6.308333"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculate the mean alcohol amounts for each continent \n",
    "drinks.groupby('continent').mean() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# side-by-side bar plots \n",
    "drinks.groupby('continent').mean().plot(kind='bar'); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# drop the liters column\n",
    "drinks.groupby('continent').mean().drop('liters', axis=1).plot(kind='bar'); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# stacked bar plots \n",
    "drinks.groupby('continent').mean().drop('liters', axis=1).plot(kind='bar', stacked=True); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Box Plot: show quartiles (and outliers) for one or more numerical variables\n",
    "__Five-Number Summary__\n",
    "* min = minimum value\n",
    "* 5% = first quartile (Q1) = median of the lower half of the data\n",
    "* 50% = second quartile (Q2) = median of the data\n",
    "* 75% = third quartile (Q3) = median of the upper half of the data\n",
    "* max = maximum value\n",
    "(More useful than mean and standard deviation for describing skewed distributions)\n",
    "* Interquartile Range (IQR) = Q3 - Q1\n",
    "\n",
    "__Outliers__ \n",
    "* below Q1 - 1.5 * IQR\n",
    "* above Q3 + 1.5 * IQR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "         0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   1,   1,   1,\n",
       "         1,   1,   1,   1,   1,   1,   2,   2,   2,   2,   2,   2,   2,\n",
       "         3,   3,   3,   3,   3,   3,   3,   3,   4,   4,   4,   5,   5,\n",
       "         6,   6,   6,   7,   9,  11,  11,  12,  13,  15,  15,  16,  16,\n",
       "        18,  18,  18,  18,  19,  21,  21,  22,  22,  25,  25,  27,  29,\n",
       "        31,  31,  34,  35,  35,  35,  35,  38,  39,  41,  41,  42,  42,\n",
       "        44,  46,  50,  51,  55,  56,  57,  60,  61,  63,  63,  65,  67,\n",
       "        68,  69,  69,  69,  71,  71,  72,  74,  75,  76,  76,  79,  81,\n",
       "        84,  87,  87,  88,  97,  97,  98,  98, 100, 100, 100, 100, 101,\n",
       "       104, 104, 112, 114, 114, 114, 117, 117, 118, 118, 122, 122, 124,\n",
       "       126, 128, 131, 132, 133, 133, 135, 137, 138, 145, 147, 151, 152,\n",
       "       154, 156, 157, 158, 160, 170, 173, 173, 176, 178, 179, 186, 189,\n",
       "       192, 194, 200, 202, 205, 215, 215, 216, 221, 226, 237, 244, 246,\n",
       "       252, 254, 258, 286, 293, 302, 315, 326, 326, 373, 438])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort the spirit column \n",
    "drinks.spirit.sort_values().values "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    193.000000\n",
       "mean      80.994819\n",
       "std       88.284312\n",
       "min        0.000000\n",
       "25%        4.000000\n",
       "50%       56.000000\n",
       "75%      128.000000\n",
       "max      438.000000\n",
       "Name: spirit, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show five-number summary of spirit \n",
    "drinks.spirit.describe() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAFpCAYAAABaoss2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAVSUlEQVR4nO3df6zdd33f8dcbx/UNSQbZYmI6KThTNXTLpUXZpcyZaUm3UFa2aT80bYmIoLvCZJQrGJFIyEVqmJQooIkGuTAnUjSY19xOK1MLSQeh243CDR7M0Qp16yRbC7QdiuOO4BJjg/E+++Oe65x7k9jXyc0993P9eEhH997v93POeZ8/7KfP9/u9x9VaCwDQh5eMegAAYOWEGwA6ItwA0BHhBoCOCDcAdES4AaAj5416gJW45JJL2vbt20c9BgCsiYcffvjPW2tbn21fF+Hevn179u/fP+oxAGBNVNW3nmufQ+UA0BHhBoCOCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGnmF2djYTExPZtGlTJiYmMjs7O+qRgIEuPvIUWDuzs7OZmZnJ3XffnZ07d2Z+fj5TU1NJkmuuuWbE0wHVWhv1DGc0OTnZfFY5rI2JiYns3r07V1111altc3NzmZ6ezoEDB0Y4GZw7qurh1trks+4TbmDYpk2bcvz48WzevPnUthMnTmRsbCwnT54c4WRw7jhduJ3jBpYYHx/P/Pz8km3z8/MZHx8f0UTAMOEGlpiZmcnU1FTm5uZy4sSJzM3NZWpqKjMzM6MeDYiL04BlFi9Am56ezsGDBzM+Pp5bb73VhWmwTjjHDQDrjHPcALBBCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCPCDQAdEW4A6IhwA0BHhBsAOiLcANAR4QaAjpx1uKvqg1XVqurXhrZVVd1SVd+uqmNV9UBVvWbZ/S6uqr1VdWRw21tVL1+NFwEA54qzCndV/c0ku5J8fdmuDyS5Icl0ktcneSLJF6vqoqE19yS5IslbBrcrkux9fmMDwLlpxeGuqpcl+fUk/yLJk0PbK8n7ktzeWvtMa+1AkrcnuSjJtYM141mI9a7W2r7W2r4k70ry96rq1av1YgBgozubd9x3JfnN1trcsu2XJ9mW5P7FDa21Y0keTHLlYNOOJE8l+fLQ/R5KcnRoDQBwBuetZFFVvTPJTyR527Ps3jb4emjZ9kNJ/urQmsOttba4s7XWquqJofsvf85dWTgsn8suu2wlYwLAhnfGd9yDQ9m3Jbm2tXbixR9pQWvtrtbaZGttcuvWrWv1tACwrq3kUPmOJJck+YOq+lFV/SjJzyV59+D7/ztYd+my+12a5PHB948n2To4H57k1LnxVwytAQDOYCXh/q0kr03yuqHb/iS/Mfj+sSzE9+rFO1TVWJI35ulz2vuSXJiFfwQs2pHkgiw97w0AnMYZz3G31r6b5LvD26rqaJLvDK4gT1XdkeTmqnokCyH/UBYuRrtn8BgHq+rzSe4cnLtOkjuT3Ntae3S1XgwAbHQrujhtBT6a5Pwkn0hycZKvJHlza+17Q2uuTbI7yRcGP382yXtW6fkB4JxQQxd6r1uTk5Nt//79ox4DANZEVT3cWpt8tn0+qxwAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEeEG3iG2dnZTExMZNOmTZmYmMjs7OyoRwIGVusjT4ENYnZ2NjMzM7n77ruzc+fOzM/PZ2pqKklyzTXXjHg6wEeeAktMTExk9+7dueqqq05tm5uby/T0dA4cODDCyeDccbqPPBVuYIlNmzbl+PHj2bx586ltJ06cyNjYWE6ePDnCyeDc4bPKgRUbHx/P/Pz8km3z8/MZHx8f0UTAMOEGlpiZmcnU1FTm5uZy4sSJzM3NZWpqKjMzM6MeDYiL04BlFi9Am56ezsGDBzM+Pp5bb73VhWmwTjjHDQDrjHPcALBBCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCPCDQAdEW4A6IhwA0BHhBsAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEeEGwA6ItwA0BHhBp5heno6Y2NjqaqMjY1lenp61CMBA8INLDE9PZ09e/bktttuy9GjR3Pbbbdlz5494g3rRLXWRj3DGU1OTrb9+/ePegw4J4yNjeW2227L+9///lPbPvaxj+Xmm2/O8ePHRzgZnDuq6uHW2uSz7hNuYFhV5ejRo3npS196atv3v//9XHDBBenh7wvYCE4XbofKgSW2bNmSPXv2LNm2Z8+ebNmyZUQTAcPOG/UAwPryzne+MzfeeGOS5Prrr8+ePXty44035vrrrx/xZEAi3MAyu3fvTpLcfPPNueGGG7Jly5Zcf/31p7YDo+UcNwCsM85xA2dldnY2ExMT2bRpUyYmJjI7OzvqkYABh8qBJWZnZzMzM5O77747O3fuzPz8fKamppIk11xzzYinAxwqB5aYmJjI7t27c9VVV53aNjc3l+np6Rw4cGCEk8G5w+9xAyu2adOmHD9+PJs3bz617cSJExkbG8vJkydHOBmcO5zjBlZsfHw88/PzS7bNz89nfHx8RBMBw4QbWGJmZiZTU1OZm5vLiRMnMjc3l6mpqczMzIx6NCAuTgOWWbwAbXp6OgcPHsz4+HhuvfVWF6bBOuEcNwCsM85xA8AGccZwV9UvV9XXq+ovBrd9VfXWof1VVbdU1ber6lhVPVBVr1n2GBdX1d6qOjK47a2ql78YLwgANrKVvOP+syQ3JrkiyWSS/5bkt6rqpwb7P5DkhiTTSV6f5IkkX6yqi4Ye457B/d8yuF2RZO9qvAAAOJec8eK01tpvL9s0U1X/MsmOqvr9JO9Lcntr7TNJUlVvz0K8r01yZ1WNZyHWO1tr+wZr3pXkS1X16tbao6v3cgBgYzurc9xVtamq/nmSC5N8OcnlSbYluX9xTWvtWJIHk1w52LQjyVOD9YseSnJ0aA2wyqpq3dyA1bOicFfVa6vqqSQ/SLInyT9qrf1+FqKdJIeW3eXQ0L5tSQ63ocvXB98/MbTm2Z5zV1Xtr6r9hw8fXtGLAZ7WWnvBt1fdeO+qPA6welb6jvvRJK9L8oYk/zbJp6tq4kWbKklr7a7W2mRrbXLr1q0v5lMBQDdWFO7W2g9ba/+7tfZwa+2DSX4vyb9K8vhgyaXL7nLp0L7Hk2ytoeNlg+9fMbQGAFiB5/t73C9JsiXJN7IQ36sXd1TVWJI35ulz2vuycE58x9D9dyS5IEvPewMAZ3DGq8qr6vYk9yX50yQXZeFq8TcleWtrrVXVHUlurqpHkjyW5ENZuBjtniRprR2sqs9n4QrzXYOHvTPJva4oB4Czs5LPKt+W5D8Mvh5J8vUkf7e19oXB/o8mOT/JJ5JcnOQrSd7cWvve0GNcm2R3ksX7fDbJe17w9ABwjlnJ73G/4wz7W5JbBrfnWvNkkred3WgAwHI+qxwAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEeEGwA6ItwA0BHhBoCOCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCPCDQAdEW4A6IhwA0BHhBsAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEeEGwA6ItwA0BHhBoCOCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCPCDQAdEW4A6IhwA0BHhBsAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEeEGwA6csZwV9UHq+p/VNVfVNXhqvpcVU0sW1NVdUtVfbuqjlXVA1X1mmVrLq6qvVV1ZHDbW1UvX+0XBAAb2Urecb8pySeTXJnk55P8KMnvVtVfHlrzgSQ3JJlO8vokTyT5YlVdNLTmniRXJHnL4HZFkr0vcH4AOKecd6YFrbVfGP65qq5LciTJ30ryuaqqJO9Lcntr7TODNW/PQryvTXJnVY1nIdY7W2v7BmveleRLVfXq1tqjq/iaAGDDej7nuC8a3O/Jwc+XJ9mW5P7FBa21Y0kezMK79CTZkeSpJF8eepyHkhwdWgMAnMHzCffHk/xekn2Dn7cNvh5atu7Q0L5tSQ631trizsH3TwytWaKqdlXV/qraf/jw4ecxJgBsPGcV7qr6WJKdSf5Ja+3kizPSgtbaXa21ydba5NatW1/MpwKAbqw43FX1q0muSfLzrbU/Htr1+ODrpcvucunQvseTbB2cD198vEryiqE1AMAZrCjcVfXxPB3tR5bt/kYW4nv10PqxJG/M0+e09yW5MAvnuhftSHJBlp73BgBO44xXlVfVJ5Jcl+QfJnmyqhbPST/VWnuqtdaq6o4kN1fVI0keS/KhLFyMdk+StNYOVtXns3CF+a7B/e9Mcq8rygFg5c4Y7iTvHnz9r8u2fzjJLYPvP5rk/CSfSHJxkq8keXNr7XtD669NsjvJFwY/fzbJe85+ZAA4d63k97hrBWtaFiJ+y2nWPJnkbWcxGwCwjM8qB4COCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCPCDQAdEW4A6IhwA0BHhBsAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEeEGwA6ItwA0BHhBoCOCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCPCDQAdEW4A6IhwA0BHhBsAOiLcANAR4QaAjpw36gGAZ/rpD9+fI8dOjHqMJMn2m+4b6fO/7PzN+dqvvHmkM8B6ItywDh05diLfvP2tox5jXRj1PxxgvXGoHAA6ItwA0BHhBoCOCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCMrCndV/WxVfbaq/k9Vtap6x7L9VVW3VNW3q+pYVT1QVa9ZtubiqtpbVUcGt71V9fJVfC0AsOGt9B33hUkOJHlvkmPPsv8DSW5IMp3k9UmeSPLFqrpoaM09Sa5I8pbB7Yoke5/f2ABwblrR/8fdWvudJL+TJFX1qeF9VVVJ3pfk9tbaZwbb3p6FeF+b5M6qGs9CrHe21vYN1rwryZeq6tWttUdX5+UAwMa2Gue4L0+yLcn9ixtaa8eSPJjkysGmHUmeSvLlofs9lOTo0BoA4AxWI9zbBl8PLdt+aGjftiSHW2ttcefg+yeG1ixRVbuqan9V7T98+PAqjAkA/Vu3V5W31u5qrU221ia3bt066nEAYF1YjXA/Pvh66bLtlw7tezzJ1sH58CSnzo2/YmgNAHAGqxHub2QhvlcvbqiqsSRvzNPntPdl4cr0HUP325Hkgiw97w0AnMaKriqvqguT/MTgx5ckuayqXpfkO621P6mqO5LcXFWPJHksyYeycDHaPUnSWjtYVZ/PwhXmuwaPc2eSe11RDgArt9J33JNJ/ufgdn6SDw++/9eD/R9N8qtJPpFkf5JXJnlza+17Q49xbZKvJfnC4Pa1JNe9wPkB4Jyy0t/jfiBJnWZ/S3LL4PZca55M8razmg4AWGLdXlUOADyTcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCPCDQAdEW4A6IhwA0BHhBsAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEeEGwA6ItwA0BHhBoCOCDcAdES4AaAj5416AOCZLhq/Ka/99E2jHmNduGg8Sd466jFg3RBuWIe+d/D2fPN2sUqS7TfdN+oRYF1xqBwAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEeEGwA6ItwA0BHhBoCOCDcAdES4AaAjwg0AHRFuAOiIcANAR4QbADoi3ADQEeEGgI4INwB0RLgBoCPCDQAdEW4A6IhwA0BHhBsAOiLcANAR4QaAjgg3AHREuAGgI8INAB0RbgDoiHADQEfWPNxV9e6q+kZVHa+qh6vqjWs9AwD06ry1fLKq+mdJPp7k3UnmB1//S1X9ZGvtT9ZyFljvtt9036hHWBdedv7mUY8A60q11tbuyaq+kuTrrbV3Dm37X0l+s7X2wee63+TkZNu/f/9ajAgM2X7Tffnm7W8d9Rhwzqmqh1trk8+2b80OlVfVjyX5G0nuX7br/iRXrtUcANCztTxUfkmSTUkOLdt+KMnfWb64qnYl2ZUkl1122Ys+HGw0VbU6j/ORF/4Ya3lkDza6NT3HfTZaa3cluStZOFQ+4nGgO2IJG9NaXlX+50lOJrl02fZLkzy+hnMAQLfWLNyttR8meTjJ1ct2XZ3ky2s1BwD0bK0PlX8syd6q+mqSh5Jcn+THk+xZ4zkAoEtrGu7W2n+sqr+S5ENJXpnkQJJfbK19ay3nAIBerfnFaa21Tyb55Fo/LwBsBD6rHAA6ItwA0BHhBoCOCDcAdES4AaAjwg0AHRFuAOiIcANAR6qH/0Goqg4n8elqsPYuycJ/EASsrVe11rY+244uwg2MRlXtb61NjnoO4GkOlQNAR4QbADoi3MDp3DXqAYClnOMGgI54xw0AHRFu4FlV1Tuq6qkVrPtUVd27FjMBDpUDz6Gqzk9yUWvtiTOse1kW/i757uDnB5IcaK2958WfEs495416AGB9aq0dS3LsufZX1XlJTrbWjqzdVIBD5bCBVdXPVtV/r6qnqupIVX21qiYWD4NX1d+vqseq6nhVzVXVXxu675JD5VV1S1UdGGz/oyQ/SHLB8KHyqvpUkp9L8stV1Qa37Wv6omGDE27YoAbviH87yXySn07yhiR3JDk5WLIlya8k+aUkO5JsSvKfq6pO87CXJ7k2yT8dPObxZfvfm2Rfkn+X5JWD25+uwssBBhwqh43rLyV5eZLPtdb+aLDtkSSpqjdk4c//e1trDw22XZfkj5P87SS/+xyP+WNJrmutHVrcMNz51tqRqvphku+31h5f3ZcDJN5xw4bVWvtOkk8l+UJV3VdV76+qy4aW/L8kXx1a/60k307yk6d52D8bjjaw9oQbNrDW2i9l4RD5g0n+QZJHq+oXhpec5UMeXa3ZgOdHuGGDa619rbX2kdbam5I8kOTtg10vSfIzi+sG78Z/PMnBF/iUP8zC+XLgRSDcsEFV1eVVdXtVXVlVr6qqq5L8VJI/HCz5UZI7qmpHVb0uyaeT/EGe+/z2Sn0zyc9U1faquqSq/D0Dq8gfKNi4vp/kryf5T0key0KYfz3JRwb7f5Dk1iT/PslXsvD3wT9uL/xTmf5NFt51/2GSw0kuO/1y4Gz45DQ4B1XVO5L8WmvtwlHPApwd77gBoCPCDQAdcagcADriHTcAdES4AaAjwg0AHRFuAOiIcANAR4QbADry/wFPA07Zq1iqAwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare with boxplot \n",
    "drinks.spirit.plot(kind='box');  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# include multiple variables \n",
    "drinks.drop('liters', axis=1).plot(kind='box'); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Line Plot: show the trend of a numerical variable over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read ufo data \n",
    "ufo = pd.read_csv(\"../data/ufo.csv\")\n",
    "ufo['Time'] = pd.to_datetime(ufo.Time) \n",
    "ufo['Year'] = ufo.Time.dt.year "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Colors Reported</th>\n",
       "      <th>Shape Reported</th>\n",
       "      <th>State</th>\n",
       "      <th>Time</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ithaca</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TRIANGLE</td>\n",
       "      <td>NY</td>\n",
       "      <td>1930-06-01 22:00:00</td>\n",
       "      <td>1930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Willingboro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>NJ</td>\n",
       "      <td>1930-06-30 20:00:00</td>\n",
       "      <td>1930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Holyoke</td>\n",
       "      <td>NaN</td>\n",
       "      <td>OVAL</td>\n",
       "      <td>CO</td>\n",
       "      <td>1931-02-15 14:00:00</td>\n",
       "      <td>1931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Abilene</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DISK</td>\n",
       "      <td>KS</td>\n",
       "      <td>1931-06-01 13:00:00</td>\n",
       "      <td>1931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>New York Worlds Fair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LIGHT</td>\n",
       "      <td>NY</td>\n",
       "      <td>1933-04-18 19:00:00</td>\n",
       "      <td>1933</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   City Colors Reported Shape Reported State  \\\n",
       "0                Ithaca             NaN       TRIANGLE    NY   \n",
       "1           Willingboro             NaN          OTHER    NJ   \n",
       "2               Holyoke             NaN           OVAL    CO   \n",
       "3               Abilene             NaN           DISK    KS   \n",
       "4  New York Worlds Fair             NaN          LIGHT    NY   \n",
       "\n",
       "                 Time  Year  \n",
       "0 1930-06-01 22:00:00  1930  \n",
       "1 1930-06-30 20:00:00  1930  \n",
       "2 1931-02-15 14:00:00  1931  \n",
       "3 1931-06-01 13:00:00  1931  \n",
       "4 1933-04-18 19:00:00  1933  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# examine first few rows  \n",
    "ufo.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(80543, 6)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# observations and columns \n",
    "ufo.shape "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 80543 entries, 0 to 80542\n",
      "Data columns (total 6 columns):\n",
      " #   Column           Non-Null Count  Dtype         \n",
      "---  ------           --------------  -----         \n",
      " 0   City             80496 non-null  object        \n",
      " 1   Colors Reported  17034 non-null  object        \n",
      " 2   Shape Reported   72141 non-null  object        \n",
      " 3   State            80543 non-null  object        \n",
      " 4   Time             80543 non-null  datetime64[ns]\n",
      " 5   Year             80543 non-null  int64         \n",
      "dtypes: datetime64[ns](1), int64(1), object(4)\n",
      "memory usage: 3.7+ MB\n"
     ]
    }
   ],
   "source": [
    "# data structure \n",
    "ufo.info() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>80543.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2004.178737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.602487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1930.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2001.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2007.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2011.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2014.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Year\n",
       "count  80543.000000\n",
       "mean    2004.178737\n",
       "std       10.602487\n",
       "min     1930.000000\n",
       "25%     2001.000000\n",
       "50%     2007.000000\n",
       "75%     2011.000000\n",
       "max     2014.000000"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# numerical summary \n",
    "ufo.describe()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1930       2\n",
       "1931       2\n",
       "1933       1\n",
       "1934       1\n",
       "1935       1\n",
       "        ... \n",
       "2010    4154\n",
       "2011    5089\n",
       "2012    7263\n",
       "2013    7003\n",
       "2014    5382\n",
       "Name: Year, Length: 82, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count the number of ufo reports each year (and sort by year)\n",
    "ufo.Year.value_counts().sort_index() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LsH79enXbi4jIeXO0Zwggp1rup3HOBYGXgYuA+HX4uUnF5iZs6wAaEke++68bk8qMdQwSyoiIiKRFvOU+vyZHw93MSoBLgGPAQbzw3ZS0/RpOXWPfAVTgXVeP2wiUJ5W5xt83bhPQDhyabB1FRESmU2vvEI2VxZQU5qe7KilJ5T73fzKz3zGzpWZ2BfAzvGD+N//a+TeBz5nZTWa2CrgPbwDdVgDn3CvAg3gj5zea2UbgHuCX/kh5/LJDwH1mtsrMbgI+D2ikvIiIpN3RnuGs6ZKH1G6FWwD8GKgHuvGus1/pnDvsb/8qUArcDdTiDcB7u3NuIOEYNwPfxhsBD/AL4JPxjc65gJlt8o/RAvQCXwfumtrbEhERmT6tfUOsW1Sb7mqkLJUBdX8ywXYH3OkvZyvTC3xgguPsBq6dqD4iIiIzKRKNcawvxIK12dNy17PlRURExtHRHyIScyyozY7b4EDhLiIiMq6T97gr3EVERHJDtt3jDgp3ERGRcbX2DmMGzVlyjzso3EVERMbV2jtMU1UJRQXZE5nZU1MREZE0OJpFU73GKdxFRGTWGAiNsvkHLRw+MZjyPm29w1k1mA4U7iIiMos8/UYPD+/t5N9bWlMqPxqNcSyQXU+nA4W7iIjMIrvbAgD8Zl9XSuWP9YWIOViQJVO9xincRURk1tjjh/veY/10BEITlm/tzb7b4EDhLiIis8ietgCXNlcB8Nv9E7fej/rhrmvuIiIiGairP0TXQJj3rFtAc3VJSl3zrb3D5OcZ86pLJiybSRTuIiIyK8Svt69eUM3bLmnkydeOE45Ex93naM8QTVUlFORnV1xmV21FRESmaHdbADNYOa+K6y5pZGgkyjNv9Iy7T2vvMAvrsut6OyjcRURkltjT1s+y+nLKiwu46oJ6igvyJuyab+0dzqrZ4OIU7iIiMivsaQuwen41AKVF+Wy8YA6/3d+Fc27M8uFIlM6BUNaNlAeFu4iIzALdA2E6+kOs8sMd4LpLGjl8Yog3jo/9tLr2vhDOZd9IeVC4i4jILBC/v311Qri/bXkjAL89S9d8Nk71GqdwFxGRnBcP95X+Pe4AC+vKuKix4qzX3Vt7h0+WyzYKdxERyXm72wIsqy+nsqTwtPXXXdLIswd7GAiNnrFPa+8QBXnG3KrsuscdFO4iIjIL7GkLnHa9Pe5tlzQSiTmeOHD8jG1He4dpriklP89moorTSuEuIiI57UQwTHsgxKr5VWdsu3xxLZUlBWN2zbf2DmXlPe6gcBcRkRy3p70fYMyWe2F+Htde3MBv93cTi51+S1xr7zALarLvejso3EVEJMfFB9ONFe4A77i0iePBMH/9s52ERr3H0YZGo3QPhLO25V6Q7gqIiIicT7tbAyyZU0ZV0mC6uHevnscb3UG++cgBDh4f5J4PXE5/KAKQlU+nA7XcRUQkx+1pD3DpWVrtAHl5xqevv5h/vWUd+44N8Pv/8iS/3n0MyM573EHhLiIiOax3cITW3uHTHl5zNu9cPY/7P34V+XnG17e9CmTnPe6gcBcRkRy2p/3MJ9ONZ2VzFf/xybfw5iV1NFWV0FBRfD6rd97omruIiOSs+Bzuq5pTC3eA+opifvqxKwmNxsjLwnvcQS13ERHJYS+39bOwrpTqsrEH052NmVFalH+eanX+TTrczexvzMyZ2b8krDMzu9PM2s1s2MweNbNLk/arNbMtZhbwly1mVpNUZrWZPeYfo83MvmRm2fm1SURE0m53wjSvs8mkwt3MrgQ2A7uSNn0W+AxwG7AB6AK2mVllQpmtwDrgBn9ZB2xJOHYVsA3o9I/xKeAO4PbJ1FFERAQgMDzKkZ4hLp1El3yuSDnczawa+BHwZ0BvwnoDPg182Tl3v3NuD3ArUAnc7JdZgRfom51zO5xzO4CPAe82s+X+oW4ByoBbnXN7nHM/A74C3K7Wu4iITNbL7eM/vCaXTablfi/wM+fcb5PWLwWagIfjK5xzw8DjwFX+qo1AEHgqYb8ngcGkMtv9feMeApqBJZOop4iICHv9x85e2nzmM+VzXUrhbmYfBS4EvjjG5ib/Z2fS+s6EbU1At3Pu5IN7/dddSWXGOkbi30is02YzazGzlu7u7lTehoiIzCJ72gI0VZVQn6W3s52LCcPd7zb/R+Bm59yZE96miXPuXufceufc+oaGhnRXR0REMszL7f2zstUOqbXcNwL1wMtmFjGzCPA7wCf81yf8cnOT9psLdPivO4CGxGvn/uvGpDJjHYOEMiIiIhMaHonyendw3MfO5rJUwv3nwGrgTQlLC/AT//WreOG7Kb6DmZUA13DqGvsOoALvi0LcRqA8qcw1/r5xm4B24NAk3pOIiMxyr3T0E3Oz83o7pPCEOudcH9CXuM7MBoEef2Q8ZvZN4Atmtg8v7L+IN4Buq3+MV8zsQeAeM9vsH+Ye4JfOuf3+71uBvwPuM7N/AC4GPg/8feK1ehERkYm8PM4c7rPBdD2h7qvAN4C78Vr184C3O+cGEsrcDOzEGwH/kP/6g/GNzrkAXku92T/G3cDXgbumqY4iIpKFHtjZzju/tZ37n28lGkutrfdyW4CaskKaq0smLpyDLBcaxevXr3ctLS3proaIiJwHf3j3k+xq7SPmYPncSu54x3J+d0Uj4z0C5cZvP0F1aSE//MgVM1jTmWVmzzvn1o+1Tc+WFxGRjHXkxBAvHe3jr9+xnH+5+TJGojE+8oMW/vi7O9jdGhhzn9FojP0dA7P2ejso3EVEJIM9sKsdgN9f28y71zTz8H+/ln/8o9Uc7hniz//tuTG76Q90BhmJxlipcBcREck8D+xs5/LFtSyoLQOgMD+Pm69YxN/duJKugTDPvHHijH1m82Nn4xTuIiKSkQ50DrCvY4Ab18w7Y9vvXjKXsqL8ky37RC+391NWlM/SOeUzUc2MpHAXEZGM9MDOdvIMfm+McC8tymfTyrn85+4ORiKx07a93B5g5bwq8vJm75xjCncREck4zjke2HWMjRfMobFy7NvZfn9tM4HhUZ547dT8IrGYY+8sfuxsnMJdREQyzp62fg4eH+TGNc1nLXPNRQ1Ulxbyi5dOdc0fOjHI4Eh01j52Nk7hLiIiGeeBXe0U5hs3rDpjUtCTigryeOeqJrbt7WR4JAqcejKdWu4iIiIZJBZz/HJnO9de1EBNWdG4ZW9c28zgSJTf7OsCYE97gMJ846LGypmoasZSuIuISEZ5/kgv7YEQN649e5d83JXL5lBfUcwDO72u+b3t/SxvqqSoYHbH2+x+9yIiknEe2NlOcUEe169MngX8TPl5xrvXzOM3+7voD42ypy3ApfNm9/V2ULiLiEgGiURj/OfuY1y/Yi4VxRNOXAp4XfMjkRg/eOoQvUOjrJo/u6+3g8JdREQyyLMHezgeHOHGtWfe23426xbVML+mlO8+9gYAK5vVcle4i4hIxnjuUC9m8JYL61Pex8y4cW0zwXCEPIMV82b3YDpQuIuISAbZ3dbHBQ0VVJYUTmq/3/cH3y1rqKCsKLXu/FymcBcRkYzgnGNna4A1Cybfrb5iXiVrF1Rz1QVzzkPNso++3oiISEbo6A/RPRBm7YKaSe9rZvzs41eRb7P3efKJFO4iIpIRdh71pmpdPYWWO3jTwYpHZ0JERDLCrtY+CvKMlfN0K9u5UriLiEhG2N0WYHlTJSWF+emuStZTuIuISNo559jVGmDNFK63y5kU7iIiknaHTwwRGB6d0kh5OZPCXURE0m5nax+Awn2aKNxFRCTtdrUGKC7I4+K5errcdFC4i4hI2u1uDXBpc5VuZ5smOosiIpJW0ZhjT7sG000nhbuIiKTVa11Bhkaiut4+jRTuIiKSVqcG06nlPl0U7iIikla7WvuoLC5gWX15uquSMxTuIiKSVrtbA6yaX01eniZ9mS4ThruZ/aWZ7TKzfn/ZYWbvSthuZnanmbWb2bCZPWpmlyYdo9bMtphZwF+2mFlNUpnVZvaYf4w2M/uSmab3ERHJZSORGK8cG9D19mmWSsu9FfgcsA5YD/wG+LmZrfG3fxb4DHAbsAHoAraZWeLNilv9/W/wl3XAlvhGM6sCtgGd/jE+BdwB3D7VNyYiIplvX0c/I9GYrrdPswmnfHXO/UfSqr81s48DG81sN/Bp4MvOufsBzOxWvIC/GbjHzFbgBfrVzrkdfpmPAdvNbLlzbj9wC1AG3OqcGwb2mNklwO1mdpdzzk3LuxURkYyys9Wb5lUt9+k1qWvuZpZvZn8CVABPAUuBJuDheBk/nB8HrvJXbQSCfvm4J4HBpDLb/X3jHgKagSWTqaOIiGSPXUf7qCsvYkFtabqrklNSCnf/engQCAPfBf7IObcbL9jB605P1JmwrQnoTmx9+6+7ksqMdQwSyiTXabOZtZhZS3d3dypvQ0REMszutgCr51ejIVbTa8Jued9+4E1ANfBe4N/M7K3nq1KpcM7dC9wLsH79enXbi4hkuOPBMEd6vNnf+odH6R0c4dXOAd6+cm66q5ZzUgp359wI8Jr/6/NmtgH478D/9NfNBY4k7DIX6PBfdwANZmbx1rs/Cr4xqUzypzs3YZuIiGSxwNAob/vaowyEI6etL8w3rrm4IU21yl2pttyT5QHFwEG88N0EPAdgZiXANXij3QF24F2j38ip6+4bgfKE33cAXzGzEudcyF+3CWgHDk2xjiIikiH+74utDIQjfPW9a7iwsYLq0sKTiyaLmX4ThruZfRn4FXAUqMQbBf9W4F3OOWdm3wS+YGb7gFeBL+INoNsK4Jx7xcwexBs5v9k/7D3AL/2R8vhl/w64z8z+AbgY+Dzw9xopLyKS3Zxz/OiZI6xdWMP71i9Md3VmhVRa7k3AD/2fAWAX8E7n3EP+9q8CpcDdQC3wDPB259xAwjFuBr6NNwIe4BfAJ+MbnXMBM9vkH6MF6AW+Dtw1tbclIiKZ4pmDPbzWFeRr710zcWGZFqnc5/7hCbY74E5/OVuZXuADExxnN3DtRPUREZHs8sOnD1NVUsC71zSnuyqzhi50iIjIedM9EOahlzt47+ULKS3KT3d1Zg2Fu4iInJO7tr3KTd95kmDSSHiAf3/+KKNRx81XLEpDzWYvhbuIiJyTZ944wQtH+virH79INHZqDHQ05tj6zBE2LpvDhY0Vaazh7KNwFxGRc9IeGKa+opjf7OviH3619+T6xw9009o7zC1XqtU+06Z6n7uIiAixmKMjEOLPr17GSCTG9588yNL6cj60cQk/evow9RXFvH3lmE8Rl/NI4S4iIlN2fDDMaNTRXFPCLVcs5vCJQe78xcsU5OXxm31dfPytF1BUoE7imaYzLiIiU9be5z1UtLm6lPw845/ffxmXNFXxhf9vNw54/5vVJZ8OCncREZmyY33eTN3zakoAKC8u4H99eD1NVSW8c1UTC2rL0lm9WUvd8iIiMmVtfrjPrzk1H/u86lIeveOtaBbX9FG4i4jIlB0LhCgtzKe6tPC09SWFemBNOqlbXkREpuxYYJh5NSWYmukZReEuIiJT1tYXOq1LXjKDwl1ERKbsWN8w86pL0l0NSaJwFxGRKRmJxOgOhmlWyz3jKNxFRGRKOvtDOOfd4y6ZReEuIiJT0p50j7tkDoW7iIhMSXvAC3d1y2cehbuIiExJ4qNnJbMo3EVEZEra+4apLSuktEgPrMk0CncREZmSY4EQ89Rqz0gKdxERmZL2vmGaNZguIyncRURkSrxwV8s9EyncRURk0oLhCP2hiLrlM5TCXUREJi0+j7u65TOTwl1ERCatPeDfBqdu+YykcBcRkUmLt9w1aUxmUriLiMiktfcNk2cwt0rhnokU7iIiMmntgRCNlSUU5itGMpE+FRERmbRjAd3jnskmDHcz+xsze87M+s2s28weMLNVSWXMzO40s3YzGzazR83s0qQytWa2xcwC/rLFzGqSyqw2s8f8Y7SZ2ZfMzKbnrYqIyHRp7wsxT4PpMlYqLfe3At8BrgKuAyLAI2ZWl1Dms8BngNuADUAXsM3MKhPKbAXWATf4yzpgS3yjmVUB24BO/xifAu4Abp/C+xIRkfPEOec9wEaD6TJWwUQFnHPvSPzdzD4IBIC3AA/4LetPA192zt3vl7kVL+BvBu4xsxV4gYtyUIEAABp+SURBVH61c26HX+ZjwHYzW+6c2w/cApQBtzrnhoE9ZnYJcLuZ3eWcc9PzlkVE5Fz0DI4QjsR0G1wGm8o190p/v17/96VAE/BwvIAfzo/jtfYBNgJB4KmE4zwJDCaV2e7vG/cQ0AwsmUI9RUTkPDjm3+Oup9NlrqmE+7eAl4Ad/u9N/s/OpHKdCduagO7E1rf/uiupzFjHSPwbJ5nZZjNrMbOW7u7uKbwNERGZinY9nS7jTSrczewu4GrgPc656PmpUmqcc/c659Y759Y3NDSksyoiIrPKqXBXyz1TpRzuZvYN4P3Adc65NxI2dfg/5ybtMjdhWwfQkDjy3X/dmFRmrGMk/g0REUmzY4EQRQV5zCkvSndV5CxSCncz+xangn1f0uaDeOG7KaF8CXANp66x7wAq8K6rx20EypPKXOPvG7cJaAcOpVJPERE5/9r8kfK6UzlzpXKf+93An+KNfO81syZ/qYCT186/CXzOzG7y74G/D28A3Va/zCvAg3gj5zea2UbgHuCX/kh5/LJDwH1mtsrMbgI+D2ikvIhIBjkWCGkwXYZLpeX+CbwR8v8FHEtY/jqhzFeBbwB3Ay3APODtzrmBhDI3AzvxRsA/5L/+YHyjcy6A11Jv9o9xN/B14K4pvC8RETlPjvUNM0+D6TJaKve5T9jv4res7/SXs5XpBT4wwXF2A9dO9PdERCQ9ItEYHf0h5mswXUbTs+VFRCRlXQNhYk73uGc6hbuIiKRM97hnB4W7iIikrN1/Op3ucc9sCncREUlZvOU+T5PGZDSFu4iIpGx3a4Dm6hIqSwrTXRUZh8JdRERS4pzjuUM9bFhaN3FhSSuFu4iIpORozzBdA2HWL1G4ZzqFu4iIpOS5Qz0AbFhSm+aayEQU7iIikpKWwz1UlhRwcWNluqsiE1C4i4hISp471Mv6xbXk5WnCmEyncBcRkQn1Do7wWldQ19uzhMJdREQm9PzhXgA2KNyzgsJdREQm9NzhHgrzjTULqtNdFUmBwl1ERCbUcqiX1fOrKSnMT3dVJAUKdxERGVdoNMqu1j51yWcRhbuIiIxrV2uA0ajTYLosonAXEZFxxR9ec/liPbwmWyjcRURkXC2HeriwsYK68qJ0V0VSpHAXEZGzisUczx/u1SNns4zCXURkFtry9GEOdA5MWO5AV5D+UIT1i3W9PZso3EVEZpnhkSj/4+d7+O5jb0xY9tRkMQr3bKJwFxGZZVp7h4BTwT2elkM9NFYWs7Cu9HxXS6aRwl1EZJZp7R0G4EjPEB2B0LhlnzvUy/oltZhpsphsonAXEZll4i13gGfHab239w3T1jes6+1ZSOEuIjLLtPYOU1SQR3lRPs8ePHHWcs/423S9PfsUpLsCIiIys472DrGgtpT5NaU8d7D3rOUe2dtFQ2UxlzZXzWDtZDqo5S4iMsu09g6zoLaMK5bWsb9zgL6hkTPKhCNRHnu1m+tXNJKXp+vt2UbhLiIyy3jhXnqyu/25Q2e23p9+o4dgOMKmlXNnunoyDRTuIiKzyGA4Qs/gCAtry1i7sIai/Lwxb4l7ZG8npYX5XHVBfRpqKedK4S4iMovEb4NbUFtKSWE+axdW88zB08PdOccjr3RyzUX1mr89S6UU7mZ2rZn9wszazMyZ2YeTtpuZ3Wlm7WY2bGaPmtmlSWVqzWyLmQX8ZYuZ1SSVWW1mj/nHaDOzL5lurhQRmTbx2+AW1HoPpdmwpI6X2wIMhiMny7zc3s+xQEhd8lks1ZZ7BbAH+BQwPMb2zwKfAW4DNgBdwDYzq0wosxVYB9zgL+uALfGNZlYFbAM6/WN8CrgDuD31tyMiIuM51XIvA+DNS+uIxBwvHuk7WWbb3k7yDK67pDEtdZRzl1K4O+f+0zn3Befcz4BY4ja/Zf1p4MvOufudc3uAW4FK4Ga/zAq8QN/snNvhnNsBfAx4t5kt9w91C1AG3Oqc2+P/ra8At6v1LiIyPY72DFFSmEd9hTd96+WLa8mz0x9ms21vJ5cvrmVORXG6qinnaDquuS8FmoCH4yucc8PA48BV/qqNQBB4KmG/J4HBpDLb/X3jHgKagSXTUE8RkVkvfhtcvM1UWVLIyuaqkw+zaesbZu+xfq5foS75bDYd4d7k/+xMWt+ZsK0J6HbOufhG/3VXUpmxjpH4N04ys81m1mJmLd3d3edQfRGR2aO1b+jk9fa4DUvqePFIHyORGI/s9f63q+vt2S1rR8s75+51zq13zq1vaGhId3VERLLC0Z5hFvrX2+PevKSOcCTG7rY+Hnmlk2UN5SxrqEhTDWU6TEe4d/g/k7/mzU3Y1gE0JF479183JpUZ6xiJf0NERKaoPzRKYHj0zJb7Uu9hNv/1ShdPv3GCTeqSz3rTEe4H8cJ3U3yFmZUA13DqGvsOvBH3GxP22wiUJ5W5xt83bhPQDhyahnqKiMxqbUkj5ePqK4pZ1lDOfU8dYjTq1CWfA1K9z73CzN5kZm/y91nk/77Iv3b+TeBzZnaTma0C7sMbQLcVwDn3CvAgcI+ZbTSzjcA9wC+dc/v9P7MVGALuM7NVZnYT8HngrsRr9SIiMjWJD7BJdsXSOoZGoswpL+KyRbUzXTWZZqm23NcDL/pLKfD3/uv/x9/+VeAbwN1ACzAPeLtzbiDhGDcDO/FGwD/kv/5gfKNzLoDXUm/2j3E38HXgrim8LxERSXK0x3uAzcK6sjO2xZ8zf90ljeRropisl9KUr865R4Gzftp+y/pOfzlbmV7gAxP8nd3AtanUSUREJqe1d5iyonxqywrP2Hb1hfU0VhZz07oFaaiZTDfN5y4iMku0+vO4j/VcsMaqEp792+vTUCs5H7L2VjgREZmco71n3gYnuUnhLiIyS8Rb7pL7FO4iIrNAYHiUgVDkjNvgJDcp3EVEZoH4VK8L69Rynw0U7iIis8DRnrEfYCO5SeEuIjILxFvuuuY+OyjcRURmgdbeYSqKC6guPfMed8k9CncRkVlgvHvcJfco3EVEZoHW3mFdb59FFO4iIjnOOeeHu663zxYKdxGRHBcYHiUYjow5YYzkJoW7iEiOO3UbnFrus4XCXUQkx+k2uNlH4S4ikuNae/UAm9lG4S4ikuOO9g5RVaJ73GcThbuISI7TbXCzj8JdRCSHPfXacXa8foKL5lakuyoygxTuIiI56rf7u/jwfc+xqK6ML75rZbqrIzNI4S4iWSUWc+muQlZ4cE8Hm3/QwsVzK/jx5itpqCxOd5VkBincRWRGOed48rXj/OTZI7zRHcS51MJ6aCTC1x/ez6o7H+J//HwPodHoea5p9vrFznb+cusLrJpfzY8+ciV15UXprpLMsIJ0V0BEZoehkQj/94U2/u2pQxzoCp5c31xdwsYL6nnLhXPYsKTujMlNYjHHz19q4ysP7qOzP8z6xbVsefowLxzp5e6b17GkvjwdbycjdfWH+OEzR/j2bw6wYUkd3//wBiqK9b/52chS/dacydavX+9aWlrSXQ0RSeKc4+X2fh7Y2c6Pnz1CfyjCqvlV/OlVS1m7sJqn3+jhqdeP89TrJ+gbGgWgurSQVfOrWNVczbKGcn787FFeOtrHmgXV/N2NK7l8cR2P7O3kM/++k2jM8ZX3rOFda+al+Z2mTzTmePxANz9+5gj/ta+LaMzxzlVN3PW+N1FalJ/u6sl5ZGbPO+fWj7lN4S4i06k/NMoTB47z231dPPZqN10DYfLzjBtWNfGnVy3h8sW1Z0w7Gos59h7r56WjfbzcHmBPWz/7OwYYicZoqCzmczdcwk2XzScv79R+rb1DfHLri7x0tI/3rV/A4jnl9IdGGQhF6B8epbyogI+/9YKMatnHYo4jPUMcPDFIa88Qrb3D3tI3TFG+UVdexJyKYuaUF1FfUczCulIWzylnYW0ZRQXeVdRozPFaV5CdR/t4qbWPx/Z309Y3zJzyIt67fgF/smERSzPoPcv5o3AXmQWiMUeecUZwxmcE23usn1eO9RMMRfjQxiUsmjO99z2fCIb55/86wNZnjzAadVSVFHDtxQ28dXkjv3Nxw6QHdI1EYhw6MciC2lLKisbuWh6JxPjaQ/v43vaDABQV5FFVUkBlSSGd/SFGozH+7Oql3HbdRdPaPX0sMMyetn4ubKxgyZyyMedID0ei7O8YYE+bd973Hutn37F+BkdOjRUoys9jQW0p82tLiUQdJwbD9AyO0DM4QuK4wTzzni5XV17Eq50DDPnHqCwp4PLFtfzx5QvZtHLuyS8AMjso3EVyyPBIlH96eD8vtwcIDEcIDI0QGB5lcCRKQZ5RWVJAVWkhlSUFFOTl8Xp3kIFQBAAzKPBbv7dcsZjbrruQORXnNop6eCTK9588yL8++jrDo1Het34BN61bwGULayjIn5mwGQxHKMg3igtOdUN39Yf4yoP7uf+FVhoqi/n8DZfwR5fNJ+ocJ4IjdA+EOR4M01BZzKXNVWMGdNxoNEbLoV4efbWLx/Z3s69j4OS26tJC1iyo5k0La5hbVcLeY/3sbg2wr6Of0aj3/9fK4gJWzKtixbxKVsyr4sLGChbWldFQUXxab0RcNOboGRzhSM8Qh44PcujEIIdODNE9EGL53ErWLqxh7cIals4pH3N/mR0U7iI54mjPEJu3PM++jn4uX1RLTVkRNWWFVPthHo7EGPC7pgdCEUKjUZY1lLNiXhUr51WxvKmSgVCEbz5ygP/TcpTSwnw+du0y/vyapWdtHZ9NaDTKf7zUxje2HaCjP8T1K+by+Xcu58LGyvP07qfmxSO93PnAXnYe7aOiuIBgOHJGmfk1pdywqol3rmpi3aJaos6xqzXAMwdP8OzBHloO9RIMRyjMN9YvruNtlzRw2aJa3ugO8tLRADuP9rG/c4BozFFZUsCaBdWsnl/DmgXVrGquZmFd6bhfHkSmQuEukgMef7Wb2378Is45vvX+y3jb8sZzOt5rXUG++uA+Ht7bSWG+saC2jEV1ZSye4/1cWl/OxXMrmV9TerJ16Jzj+cO93P9CK7/ceYyBcIS1C2v4wjsv4Yplc6bjbZ4X8RH3Lxzppb6imIbKYhoqiplTUczrXUEefLmDJw4cZyQao76iiMFwlGH/VruLGit489I6rr24gbdcWH/W7v3hkSgnBsPMr1GQy8xQuItkMecc//rY63ztof0sn1vJPR+8nMVzpm/A1POHe9m2t5MjPYMc6Rni8Imhk934AGVF+VzUWMGyhgpePNLLoRNDlBXlc8OqJt67bgEbL5iTE2E2EBrlt/u7+c0rndSUFXHF0jo2LK2j/hwvW4icLwp3kSwQGo3S2R+irXeYw37IHu0Z4kDXAK92Bnn3mnl89b1rJt19PhV9QyO83h3k1c4g+zsGONA1wGtdQZbVV/CeyxfwzlVNlOv+aZG0Gi/cM/Jfp5l9ArgDmAe8DHzaObc9vbWS2SASjbGztY/tB47zxIHjdAfDrJpfzZsWeAOYVs2vOhmuzjlGo45QJEpgaJSewRFODIY5HhwhMDRKfWURi+eUs3ROObX+E8IiUW8E+Mvt3ujp1zqDHAuE6OgP0TM4clpdCvONhbVlLKwr44NXLuYDVy6esRZyTVkRly+u4/LFdTPy90RkemVcuJvZfwO+BXwCeML/+WszW+mcO5LWyknK+oZG2PH6CSpKCtiwpI6Swul5mMZoNMau1j6efO0ET71+nGA4wqK6MhbVlfs/ywiGR3mtK8hrXUEOdAU5fGKIxqrik4PKVs6r4oKGCvpDo16wBoZpD4R4rSvI06+fYCAcwQxWz69mRVMVLx3p41e7jgHeLUnVpYWEIzFCo1FSfcx5dWkhjZXFHOkZIhyJAd5tUMsayplfU8pli2qYV11CU3UpzdUlLJpTxrzqUvI1ElpEpiDjuuXN7Blgl3PuownrDgA/c879zVj7qFt++jnniMYcI9EYoxFHzMUXb5vDu60qz8xf4PXuQR5/tZvHXu1mV2vfyeArLsjjzUvruPrCet5yYT0F+UZPcITjgyOcCIY5ERyhayBEZ3+Yzv4QXQNh+odHqSkrZE55sf9gjyKGRqI8e7CHoB++K+dVUV9RzNGeIY72Dp287Shufk0pF/j3IXcEQrzS0c/RnuEx329BnrGgtpSNF8zh6gsbuOqCOSdb2wDdA2F2tfbx0tE+eodGKCnIp7gwj5KCfEoK86kqLWBOeTFzKoqYU15MdVkh3QNhDp8Y5KB/K1NHIMySOWWsbK5iZbP3BaNwhm4VE5HckzXX3M2sCBgC3u+c+/eE9XcDq5xzvzPWftMZ7rGY4/f++exXAMwMwws2MzDM/+mtjG8bj3Pg8EIy5hyxGMTO8jl4Zd1p+ziAhN+T64Zfnzyz0+roHCdDOv46EvNCfDTqiMZiRKJeoI9EY0zlP408g7ULa7j2ogauvbie/lCEJw4cZ/uBbl7tDJ51n4bKYuZWldBYWcLcqmKqSgvpGxrlRDDsd3ePkGdw5bI5vOXCejYuOz18ozFHR3+IIyeGqCguYFlD+ZjXhAPDo+w71s+hE4PUlBX5reUS6svHvt9YRCRTZdM193ogH+hMWt8JXJ+4wsw2A5sBFi1aNK2VWFQ39pO7vDD1XiWHrRsjbMcTb+16AZzwBSHJaV8g/Nfx8E78ojF2+HtfHOJfDvLMyMvz9svz9y3INwryjPy8PArzjfw8oyg/j6KCPIry8ygsyKMwP498g7w88/f1z4eLf0Hxvig0VBZz9YX11JSdPgNV/Jatzv4QzxzsId/Mb+F6j9qsLi085+7n/Dxjfk0p82tKxy1XXVrIFcvmZPRtWyIi5yrTwj1lzrl7gXvBa7lP13Hz8ox7PzTmFyE5R3OrSvj9tc3proaISM7LtAt+x4EoMDdp/VygY+arIyIikn0yKtydcyPA88CmpE2bgKdmvkYiIiLZJxO75e8CtpjZs8CTwF8AzcB301orERGRLJFx4e6c+6mZzQG+iPcQmz3A7znnDqe3ZiIiItkh48IdwDn3HeA76a6HiIhINsqoa+4iIiJy7hTuIiIiOUbhLiIikmMU7iIiIjlG4S4iIpJjFO4iIiI5RuEuIiKSYxTuIiIiOSaj5nOfKjPrBvQEu9PV403EI+mjzyC9dP7TT5/B+bXYOdcw1oacCHc5k5m1OOc0d20a6TNIL53/9NNnkD7qlhcREckxCncREZEco3DPXfemuwKizyDNdP7TT59Bmuiau4iISI5Ry11ERCTHKNxFRERyjMI9Q5nZtWb2CzNrMzNnZh9O2j7XzO4zs3YzGzKzB83sorMcy8zs1/5x3pu0rdbMtphZwF+2mFnNeXxrWWO6PgMze7OZbTOzoJkNmNlTZlafsF2fwRim4/ybWZN/Pjv8MjvN7JakMjr/YzCzvzGz58ys38y6zewBM1uVVMbM7E7/Mxg2s0fN7NKkMhOeXzNbbWaP+cdoM7MvmZnNxPvMVQr3zFUB7AE+BQwnbvD/o/85cBHwh8BleA/xecTMysc41meA2Fn+zlZgHXCDv6wDtkxD/XPBOX8GZnYF8DDwKHAlcDnwT8BowuH0GYxtOv4N/ABYAfwBsMr/fYuZXZtQRud/bG8FvgNcBVwHRPDOb11Cmc/i/f/lNmAD0AVsM7PKhDLjnl8zqwK2AZ3+MT4F3AHcfj7e1KzhnNOS4QsQBD6c8PvFgAPWJqzLw/uH9ZGkfTcAR4FGf5/3Jmxb4a97S8K6q/11y9P9vjNpmepnADwF/M9xjqvP4Pye/yDwp0nHOgz8tc7/pD+DCiAK3Oj/bsAx4G8TypQCA8DHUj2/wMeBfqA0ocwXgTb8Qd9aJr+o5Z6div2fofgK51wMCOP9wwHA//a8FdjsnOsa4zgb8f7n91TCuieBQbxv63J2E34GZtaId46PmdkTZtZlZtvN7HcTjqPPYGpS+jcAPAG8z8zmmFmemf0B0AA84m/X+U9dJd4XqF7/96VAE17PFADOuWHgcU6du1TO70Zgu79v3ENAM7BkWt/BLKJwz077gCPAP5pZnZkVmdnngAXAvIRy3wUedM79+izHaQK6nf9VGcB/3eVvk7NL5TNY5v/8e+D7wDuA7cBDZrbW36bPYGpS/TfwPrxW4nG84P8R8H7n3Ev+dp3/1H0LeAnY4f8ePz+dSeU6E7alcn6bznKMxL8hk6Rwz0LOuVHgJuAC4AQwBLwN+DX+tXUz+yCwFu/alUyzVD4DTv37usc5933n3IvOuS8AzwF/McNVzikpnn+Af8CbvOR6YD3wNeAHCV+uJAVmdhdej8h7nHPRdNdHJlaQ7grI1DjnngfeZGbVQJFzrtvMngFa/CK/C6wEgkmDTn9qZjucc1cDHUCDmVn8m7U/UKnR3ybjSOEzOOb/3Ju0615gkf9an8EUTXT+zewCvIFeb3LO7fR322lm1/jrP4LO/4TM7BvAnwBvc869kbApfn7m4vWikPB7R0KZic5vh78PScdI/BsySWq5ZznnXMD/n9pFeC2T//A3/S2wBnhTwgLw18CH/Nc78AbJbEw45EagnNOvkck4xvkMDgHtwPKkXS7m1BTF+gzO0Tjnv8z/mdzSjHLq/306/+Mws28B7weuc87tS9p8EC98NyWULwGu4dS5S+X87gCu8feN24T3b+fQtLyR2SjdI/q0jL3g/YOIh/IQ8CX/9SJ/+x/jdUMuw7vN5xBw/wTHPG20vL/u18BuvH9wG/3XD6T7/WfCMh2fAfBpIOCXvRD4At5tcImjvPUZnIfzDxQCB/AGeL0Zrws/flvojTr/E57/u/FGsV+Hd+07vlQklPmc/9/3TXi3Gv4EL5QrUz2/QDXel4Sf+Me4yf+7n0n3OcjmJe0V0HKWD8a7x9SNsdznb/8rvFvcRvBagf8vXtfkeMccK9xrgR/6/5j6/dc16X7/mbBM12fg/w/wCN4I4WeB6/UZzMz5x7sP/n68AVqDwE7gVp3/lM7/WOfeAXcmlDHgTrxLUCHgMWDVZM8vsBrvS1jIP9bfodvgzmnRxDEiIiI5RtfcRUREcozCXUREJMco3EVERHKMwl1ERCTHKNxFRERyjMJdREQkxyjcRUREcozCXUREJMco3EVERHLM/w9d+7ZLTWXmYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare with line plot \n",
    "ufo.Year.value_counts().sort_index().plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# don't use a line plot when there is no logical ordering \n",
    "drinks.continent.value_counts().plot(kind='line'); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grouped Box Plots: show one box plot for each group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# remainder: boxplot of beer survings \n",
    "drinks.beer.plot(kind='box'); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jubayer/.local/lib/python3.7/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
      "  return array(a, dtype, copy=False, order=order)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# boxplot of beer survings group by continent \n",
    "drinks.boxplot(column='beer', by='continent'); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jubayer/.local/lib/python3.7/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
      "  return array(a, dtype, copy=False, order=order)\n",
      "/home/jubayer/.local/lib/python3.7/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
      "  return array(a, dtype, copy=False, order=order)\n",
      "/home/jubayer/.local/lib/python3.7/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
      "  return array(a, dtype, copy=False, order=order)\n",
      "/home/jubayer/.local/lib/python3.7/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
      "  return array(a, dtype, copy=False, order=order)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# boxplot of all numerical columns group by continent \n",
    "drinks.boxplot(by='continent'); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grouped Histograms: show one histogram for each group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# remainder: histogram of beer survings \n",
    "drinks.beer.plot(kind='hist', bins=20); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# histogram of beer  survings group by continent \n",
    "drinks.hist(column='beer', by='continent'); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# share the x-axis \n",
    "drinks.hist(column='beer', by='continent', sharex=True); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# share the x and y axis \n",
    "drinks.hist(column='beer', by='continent', sharex=True, sharey=True); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# change the layout \n",
    "drinks.hist(column='beer', by='continent', sharex=True, layout=(2, 3));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Assorted Functionality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# saving a plot to a file \n",
    "drinks.beer.plot(kind='hist', bins=20, title=\"Histogram of Beer Survings\")\n",
    "plt.xlabel(\"Beer Survings\")\n",
    "plt.ylabel(\"Freequency\")\n",
    "plt.savefig(\"beer_survings.png\") # .png, .tiff, .pdf, .jpeg "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Solarize_Light2',\n",
       " '_classic_test_patch',\n",
       " 'bmh',\n",
       " 'classic',\n",
       " 'dark_background',\n",
       " 'fast',\n",
       " 'fivethirtyeight',\n",
       " 'ggplot',\n",
       " 'grayscale',\n",
       " 'seaborn',\n",
       " 'seaborn-bright',\n",
       " 'seaborn-colorblind',\n",
       " 'seaborn-dark',\n",
       " 'seaborn-dark-palette',\n",
       " 'seaborn-darkgrid',\n",
       " 'seaborn-deep',\n",
       " 'seaborn-muted',\n",
       " 'seaborn-notebook',\n",
       " 'seaborn-paper',\n",
       " 'seaborn-pastel',\n",
       " 'seaborn-poster',\n",
       " 'seaborn-talk',\n",
       " 'seaborn-ticks',\n",
       " 'seaborn-white',\n",
       " 'seaborn-whitegrid',\n",
       " 'tableau-colorblind10']"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list available plot style \n",
    "plt.style.available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use plot style: ggplot \n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequnecy')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# histogram of beer survings in ggplot style \n",
    "drinks.beer.plot(kind=\"hist\", title=\"Histogram of Beer Survings\")\n",
    "plt.xlabel(\"Beer Survings\")\n",
    "plt.ylabel(\"Frequnecy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use plot style: ggplot \n",
    "plt.style.use('seaborn') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequnecy')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# histogram of beer survings in seaborn style \n",
    "drinks.beer.plot(kind=\"hist\", title=\"Histogram of Beer Survings\")\n",
    "plt.xlabel(\"Beer Survings\")\n",
    "plt.ylabel(\"Frequnecy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use plot style: ggplot \n",
    "plt.style.use('fivethirtyeight') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequnecy')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# histogram of beer survings in fivethirtyeight style \n",
    "drinks.beer.plot(kind=\"hist\", title=\"Histogram of Beer Survings\")\n",
    "plt.xlabel(\"Beer Survings\")\n",
    "plt.ylabel(\"Frequnecy\")"
   ]
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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    "version": 3
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   "hotkeys": {
    "equation": "Ctrl-E",
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   "labels_anchors": false,
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  "toc": {
   "base_numbering": 1,
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   "number_sections": true,
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   "skip_h1_title": false,
   "title_cell": "Table of Contents",
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   "toc_position": {},
   "toc_section_display": true,
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  }
 },
 "nbformat": 4,
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}