{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5505d2e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Päivitetty 2023-12-09 / Aki Taanila\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "print(f'Päivitetty {datetime.now().date()} / Aki Taanila')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f44e804f",
   "metadata": {},
   "source": [
    "# Kategorisen muuttujan lukumääräyhteenveto\n",
    "\n",
    "Tässä muistiossa käytän **seaborn**-funktioita **countplot** ja **catplot**.\n",
    "\n",
    "Kaavioiden muotoiluun käytän **matplotlib.pyplot**-funktioita.\n",
    "Jos kaipaat lisää muotoiluja, niin lue https://matplotlib.org/stable/tutorials/introductory/pyplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6cf278ec",
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set_style('whitegrid')\n",
    "\n",
    "tips = sns.load_dataset('tips')    # Esimerkkidata ravintolaseurueiden tipeistä\n",
    "tips"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a0ad46f",
   "metadata": {},
   "source": [
    "## Frekvenssijakauma\n",
    "\n",
    "**countplot** esittää kategorisen muuttujan frekvenssijakauman pylväskaaviona. Jos haluan pystypylväskaavion sijasta vaakapylväskaavion, niin annan muuttujan nimen **x**-parametrin sijasta **y**-parametrina. \n",
    "\n",
    "Lisätietoa https://seaborn.pydata.org/generated/seaborn.countplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eb3f7f54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x1aa7d6fad10>,\n",
       "  <matplotlib.axis.XTick at 0x1aa7c23df90>,\n",
       "  <matplotlib.axis.XTick at 0x1aa7d694310>,\n",
       "  <matplotlib.axis.XTick at 0x1aa7d755090>],\n",
       " [Text(0, 0, 'To'), Text(1, 0, 'Pe'), Text(2, 0, 'La'), Text(3, 0, 'Su')])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAE2CAYAAABx82k0AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAvDElEQVR4nO3de1iM+f8/8GczpSIqx1aLpdSKUtEBWeQQS8tSdj8sW45LDtlFIhTlbFuxkbUkstZxHdbZili1ObNIzodWooNSMU3z+8Ov+RqVZqiZuns+rqvrau7j677nnue85z5qyWQyGYiIqNITaboAIiIqGwx0IiKBYKATEQkEA52ISCAY6EREAsFAJyISCAY6EZFAMNCJiASCgU5EJBAM9HJw48YNTJo0CR06dECrVq3g4uICX19fXL16VdOlvTdXV1dMmzbtncNMmzYNrq6uaqnnfea1fPlyWFpallNFqtdQUj3x8fGwtLREfHy8wv/K2LFjBywtLfHw4UOF/8uLMtuFsiwtLbF8+fIi/xfXvzxre3PbUuc2XRa0eOl/2UpKSsLAgQNhY2ODr776CnXr1sXjx4+xceNGXLt2DRs2bICtra2my1TZ1atXYWBggMaNG5c4zLRp0/DPP//gr7/+Kvd63mdey5cvx4oVK5CYmFiOlb3b48eP8fjxY9ja2ir8/6bs7GzcvHkT5ubmACD/38DAoNTpp6Wl4f79+7CyskJ2drb8/2rVqpXH4ii1XSjrwoULMDExgYmJicL/xfUvz9ru37+P7OxsWFlZKfxfGWhrugChWbduHYyMjLBmzRro6OjIu3fr1g29evVCeHg4Vq9ercEK309l2aArujcDqaRwMjAwUAh5VRoAtWvXRu3atYv8X17KcrsobZlVbQi9b21vfgGUxReVOnGXSxl7+vQpAODtHz7Vq1eHv78/evXqpdD9yJEj6N+/P6ytrdGhQwcEBwcjJydH3r+kn+Vv/vx8+PAhLC0tsW7dOvTq1QuOjo7YsWOHUuMCwMuXL7Fo0SJ06tQJrVq1gru7O/bt26cwzts/XzMzM+Hv7w8nJyc4ODhg8eLFKCgoKDIvZZave/fuiImJgbu7O1q1agU3Nzfs3Lmz6Mp9h+J+Xpe2yyE5ORmdO3fGl19+iczMTPl63LFjh8Jwb//sHjJkCGbNmoWVK1eiY8eOaN26NUaOHImnT59i+/bt6N69O+zs7ODl5aUwb6lUitWrV6NPnz6wsbGBra0tvv76a5w+fbrIOhs0aBDs7OzQqlUr9OzZExs3bpT3L9wNs3nzZnTp0gXt27fHyZMnAQBbt25F//79YWtrCxsbG/Tt27fIe1kcZd+nFStWwMnJCd26dUN6enqpuzWWL18OV1dXHDt2DD179kTr1q3h6elZZJmvX7+OcePGwdnZGS1btkTHjh0RHByMvLw8+TCF2+3Lly/Rtm1bzJs3T2EaBQUFcHFxQVBQEADFbaLwvd2/fz8mTJgAOzs7ODg4YMaMGXjx4oV8Gnl5eVi6dCl69OiBVq1awd7eHt7e3rh27Vqp67AiYKCXsc6dOyM5ORlff/01oqOjcevWLXm49+zZE19++aV82D179sDHxwfNmjXDzz//jHHjxmH37t0YO3ZskS8EZYSGhmL48OEIDg6Gs7OzUuPIZDL4+Phg8+bN8Pb2xsqVK2FnZ4dJkybhjz/+KHacgoICjBgxAjExMZg8eTIWLlyI8+fPFwkOZZcvNTUVc+bMwdChQ7F69Wp8/PHHmDZtGm7duqXyOlBWamoqvLy8YGhoiLVr18LQ0FCl8f/880/8/fffCAkJgb+/P/7++29888032LBhA/z8/DBjxgxcvHgRc+bMkY+zZMkSLFu2DP369cOaNWsQHByMjIwMTJw4UR6eMTEx8PHxwSeffILw8HCsWLECjRo1wty5c3Hu3DmFGkJDQ+Hn5wc/Pz/Y2toiOjoaAQEBaN++PVatWoWlS5dCV1cXU6ZMQXJyconLouz7lJycjMOHD+PHH3+Er68vjI2NlVpXaWlp8PPzw6BBg7Bs2TLo6+tj5MiRuHLlCgDgyZMnGDx4MJ49e4aQkBCsWbMGvXv3xoYNGxAZGVlkerq6unBzc8P+/fsVGhHx8fFITU1F3759S6xl9uzZMDU1RXh4OEaMGIHt27dj1apV8v5Tp05FdHQ0hg0bhrVr18Lf3x9JSUmYNGnSe30m1Y27XMrYoEGDkJqail9//VX+YTY2NoaLiwuGDBmC1q1bA3gdpEuWLEHHjh2xZMkS+fiffPIJvLy8cPz4cXTu3Fmleffo0QMeHh4qjfP3338jNjYWoaGh+PzzzwEAHTt2RG5uLpYsWYI+ffpAW1txMzlx4gQuXbqEiIgIeY3Ozs4KrVhVli83NxchISFo166dfJguXbrg+PHjMDMzU2l5lJGeno5hw4ZBT08PkZGRSgfTmyQSCVasWCH/Ijh8+DBOnjyJI0eOoFGjRgCAa9euYdeuXfJxUlNTMWrUKIwYMULerVq1ahg/fjwSExNhZ2eHW7duwdXVVaH1aWtrCycnJyQkJMDe3l7e/euvv0bPnj3lrx8+fIiBAwdi8uTJ8m4NGzZE//79ce7cOTRs2LDIcqjyPuXn58PPzw/t27dXaV3l5uYiMDAQ/fr1A/B6W+nWrRtWr16NsLAw3LhxAxYWFggNDZXvgmrXrh1OnTqFhIQEfPfdd0Wm2bdvX2zbtg1nzpyBo6MjgNdfTE2aNHnnrplOnTrBz89PYR4xMTH44Ycf8OrVK+Tm5mLy5Mn4+uuvAQCOjo7Izs7GggULkJqaivr166u07OrGQC8HEydOhJeXF2JjY3H69GnEx8djz5492Lt3L/z9/fHtt9/i9u3bePz4MUaPHo38/Hz5uA4ODjAwMMCpU6dUDnQLCwuVaz19+jS0tLTQqVMnhTpcXV2xe/duJCUloUWLFgrjnDlzBjo6Ovjss8/k3apXr45OnTohISEBAFRevjc/hIUf6jd/8pelESNG4MaNG+8d5gBgZmam0KqvV68eateuLQ9zADAyMkJWVpb8dWFgpqWl4d69e7hz5478oK5EIgEADB8+HMOHD0dOTg7u37+PO3fu4PLlywrDFHp7d1phUGVlZeHu3bu4e/eufNfG2+MWUvV9ep9tTCwWo3fv3vLXenp6+Oyzz3D8+HEAgIuLC1xcXCCRSHDnzh3cvXsXiYmJSEtLg5GRUbHTdHBwgKmpKf788084Ojri1atXOHz4ML799tt31vJ22JuYmODRo0cAXn+5/vLLLwBe/2q4d+8ebt++jWPHjgEoeR1WJAz0cmJoaIg+ffqgT58+AF4fcZ86dSqWLFmCL774AhkZGQCAoKAg+T6/Nz158kTledatW1flcTIyMiCTyRRafm/X8XagZ2ZmwsjICCKR4h67evXqKUwXUH759PX15f8XTre8fuLm5OSgSZMmWLJkCbZs2QKxWKzyNIo74+TNZSjO5cuXERQUhMuXL0NPTw/m5uYwNTUF8H/LmpaWhtmzZ+PIkSPQ0tJCkyZN0KZNG4VhCtWpU0fh9f379zFr1izExcVBW1sbzZo1k4d+SetS1ffpfbax2rVrK5wgUFh7ZmYmgNe78H788UdER0cjJycHH330EWxsbKCrq1viNLW0tODu7o4tW7Zg5syZOHHiBJ4/f/7O3S1A0fdIJBIprJvY2FjMmzcPt2/fRo0aNWBpaYkaNWoAKL/tsSwx0MtQSkoKBgwYgIkTJ8LT01Ohn5WVFXx9feHj44MHDx6gVq1aAF7vsyv8yfimwtaflpYWgNcH1AqD582DOO+izLg1a9ZE9erVERUVVew0mjRpUqSbsbEx0tPTFaYL/F84AFB6+cqSVCpVeF1SCz8qKgo3btzAsGHDEBUVBW9vbwCK60uZ6agiOzsbI0aMgKWlJfbu3QszMzOIRCIcP34cBw8elA83efJk3Lp1C+vWrYO9vT2qVauG3NxcbN269Z3TLygowKhRo6Cjo4MtW7bAysoK2trauHnzJnbv3l3ieOp4nwobDYXrF3h98kDhF9Lq1asRGRmJwMBAuLm5oWbNmgBQ6u7Dvn37YtWqVYiPj8fevXthb2+v8AtJVffv34ePjw+6du2KiIgI+Rku0dHRiI2Nfe/pqhMPipahunXrQltbG5s2bcLLly+L9L99+zZ0dXXRpEkTNGvWDHXq1MHDhw9hbW0t/zMxMcHSpUvlFyEVtgT/++8/+XTePjhWEmXGdXR0RE5ODmQymUIdSUlJ+PnnnxV+hhdq164d8vPzceTIEXm3V69e4dSpU/LXyi5fWTEwMMDjx48VupW0nurVq4cOHTqgd+/eWLZsGR48eCCfBgCF6UgkEly6dOmD67t9+zYyMjIwdOhQNG/eXP4r5MSJEwAgP7h39uxZuLm5wdnZWX7u+NvDFCc9PR137tyBh4cHbGxs5Mc9ShtXHe+TRCJRCMS8vDycOHFCfszk7NmzMDc3h4eHhzzMU1JScOPGjXcuc7NmzWBtbY0///wTMTExpbbOS3PlyhW8fPkSo0ePVjhdsbB2ttCrGLFYjMDAQPj4+GDAgAEYPHgwzMzMkJubi1OnTiE6OhoTJ06Ut3omTZqEWbNmQSwWo0uXLnj+/DnCw8ORkpKCli1bAnh9EGf+/PmYOXMmRo4cicePH2PFihXyn4Hvosy4nTp1goODA8aOHYuxY8fCzMwMly5dwvLly+Hi4lLseczt2rWDi4sLAgIC8OzZM5iamiIqKgppaWnyVpdYLFZq+cpKly5dEBERgVWrVsHW1hYxMTFFTo17m7+/P06cOIFZs2Zh3bp1MDQ0hJ2dHTZu3IgmTZrA2NgYGzZsQF5eHqpXr/5B9TVt2hQGBgZYtWoVtLW1oa2tjYMHD2Lbtm0AXh84BAAbGxvs2bMHLVu2hImJCc6fP4+IiAhoaWnJhylOnTp1YGpqiujoaJiYmKBWrVo4efIk1q9frzD9t6nrfZo+fTp8fX1Rp04d/Prrr8jJycGYMWPky1x4fYatrS3u3buHiIgI+UHKd+nXrx/mzZsHkUhU5JRgVbVs2RLa2tpYvHgxhg0bhlevXmHHjh2IiYkBUH7HdMoSW+hlrHPnztiyZQssLCywatUqDB8+HN9//z2uXbuG0NBQjBo1Sj6sp6cnli5dinPnzuG7775DYGAgPv74Y2zYsEH+07Fp06ZYuHAhkpOTMWrUKKxfvx5z585V6mi7MuOKRCKsXr0avXv3RkREBIYPH47NmzfDy8sLoaGhJU57xYoV+OKLLxAWFgZfX1+YmJhg4MCBCsMos3xlZfTo0fD09MTatWsxZswYpKSkICQk5J3j1KtXD5MmTcLff/+N7du3AwAWLFiAVq1aYebMmZg2bRpatGhR6oE2ZdSsWRPh4eGQyWSYOHEipk6diuTkZGzcuBE1atTAmTNn5PNv3bo15s6dCx8fHxw5cgRBQUFwcXGRD1OS8PBwNGjQANOmTYOvry8uXLiAlStXolmzZu8cVx3vU2BgIMLDwzFp0iRUq1YNv/32m3x33ujRo/G///0PUVFRGDlyJH799Vf07dsX48aNQ1JSknxfe3E+//xziEQidO7c+YN3DzVp0gRLly5FSkoKxowZg1mzZgEANmzYAC0trVLXf0XAS/+JqNxUhNstVCVsoRMRCQQDnYhIILjLhYhIINhCJyISCAY6EZFAMNCJiARCcBcWFRQUID8/HyKRSOFSYyKiykomk6GgoADa2tpF7qH0JsEFen5+vvzudEREQmJtbf3OxwkKLtALv72sra3f6y56REQVjVQqxeXLl9/ZOgcEGOiFu1nEYjEDnYgEpbTdyDwoSkQkEAx0IiKBYKATEQkEA52ISCAY6EREAsFAJyISCAY6EZFAMNCJiASCgU5UjqTveGq9kFXV5dY0wV0pSlSRiEUiBGyKxZ0nJT/oWGia1jdE8KCOmi6jSmKgE5WzO08ycf1RmqbLoCqAu1yIiASCgU5EJBAMdCIigWCgExEJBAOdiEggGOhERALBQCciEggGOhGRQDDQiYgEgoFORCQQDHQiIoHQSKD/+++/GDx4MNq2bQsXFxcEBwfj1atXAICLFy/C09MTdnZ2cHV1xdatWzVRIhFRpaP2QC8oKMDo0aPh5uaGf/75B9u2bcPJkyfxyy+/IDMzE6NGjUK/fv2QkJCAkJAQzJ8/H5cuXVJ3mURElY7a77aYmZmJ1NRUFBQUQCaTAQBEIhH09fVx6NAhGBkZYfDgwQCAdu3awd3dHdHR0bCxsVFpPlKptMxrJ1KVWCzWdAkaw89g2VF2Xao90I2NjeHl5YWFCxdi0aJFkEql6Nq1K7y8vLBgwQJYWFgoDG9ubo5t27apPJ/Lly+XVclE70VfXx9WVlaaLkNjEhMTkZubq+kyqhS1B3pBQQH09PQwc+ZMeHh44N69exg3bhzCwsLw4sUL6OvrKwyvp6eHnJwcledjbW1dpVtHRJpmaWmp6RIEQyqVKtVIVXugHz58GAcPHsSBAwcAAM2bN4ePjw9CQkLg7u6OrKwsheHz8vJQo0YNlecjFosZ6EQaxM+f+qn9oOh///0nP6OlkLa2NnR0dGBhYYGkpCSFfjdv3kTz5s3VWSIRUaWk9kB3cXFBamoqVq1aBalUigcPHmDlypVwd3dH9+7d8fTpU0RGRkIikSAuLg579uzBgAED1F0mEVGlo/ZANzc3R0REBP766y84OTlh6NChcHV1xaRJk2BsbIy1a9fiwIEDcHJyQkBAAAICAuDs7KzuMomIKh2NPCS6ffv2aN++fbH9rK2tsXnzZjVXRERU+fHSfyIigWCgExEJBAOdiEggGOhERALBQCeiCkVaUKDpEjSiLJZbI2e5EBGVRCwSIWBTLO48ydR0KWrTtL4hggd1/ODpMNCJqMK58yQT1x+labqMSoe7XIiIBIKBTkQkEAx0IiKBYKATEQkEA52ISCAY6EREAsFAJyISCAY6EZFAMNCJiASCgU5EJBAMdCIigWCgExEJBAOdiEggGOhERALBQCciEggGOhGRQDDQiYgEgoFORCQQDHQiIoFgoBMRCQQDnYhIIBjoREQCwUAnIhIIBjoRkUAw0ImIBIKBTkQkEAx0IiKBYKATEQkEA52ISCAY6EREAsFAJyISCAY6EZFAVMlAlxYUaLoEjaiqy01UVWhrYqYZGRmYN28ejh8/joKCAjg4OCAwMBD169fHxYsXERwcjJs3b8LY2BhjxoyBp6dnmc5fLBIhYFMs7jzJLNPpVmRN6xsieFBHTZdBROVII4E+fvx4GBoa4vDhwxCJRPD398fMmTOxaNEijBo1ChMmTMBXX32FhIQE+Pj4wNLSEjY2NmVaw50nmbj+KK1Mp0lEpElqD/QrV67g4sWL+Pvvv2FgYAAAmDt3LlJTU3Ho0CEYGRlh8ODBAIB27drB3d0d0dHRZR7oRERCo/ZAv3TpEszNzbFlyxb89ttvyM3NRceOHeHn54ekpCRYWFgoDG9ubo5t27apPB+pVFpiP7FYrPL0hOJd64XKHrc11XGdKd/9bWoP9MzMTCQmJqJVq1bYuXMn8vLyMHXqVPj5+aFu3brQ19dXGF5PTw85OTkqz+fy5cvFdtfX14eVldV71S4EiYmJyM3N1XQZVQK3NdW3Na6zD/t8qj3Qq1WrBgCYMWMGdHV1YWBgAF9fXwwcOBD9+/dHXl6ewvB5eXmoUaOGyvOxtrau0t/0JbG0tNR0CVRFcFtTXUnrTCqVlthIfZPaA93c3BwFBQWQSCTQ1dUFABT8/9PpWrRogU2bNikMf/PmTTRv3lzl+YjFYgZ6MbhOSF24ranuQ9eZ2s9Db9++PRo1aoTp06fjxYsXSEtLQ2hoKLp164Y+ffrg6dOniIyMhEQiQVxcHPbs2YMBAwaou0wiokpH7YGuo6ODDRs2QCwWw83NDW5ubjAxMcG8efNgbGyMtWvX4sCBA3ByckJAQAACAgLg7Oys7jKJiCqd99rlEhcXh5SUFMhkMgCARCJBYmIiAgIClBq/QYMGCA0NLbaftbU1Nm/e/D5lERFVaUoH+t69e9GnTx8EBwdj8+bN8gOVUqkUL168gKura7kVSUREpVN6l8uqVasAAPv27cPGjRvx008/wdXVFQkJCfj2229haGhYbkUSEVHpVGqhA69PI7S1tUVqair+/fdfaGlpYdy4cejVq1e5FUlERKVTuoU+atQoAICJiQmePXuGevXq4fHjx5BIJNDT08OLFy/KrUgiIiqd0i30Nm3aAAA6deoELy8vrF+/Hg4ODpg+fTp0dXXRtGnTciuSiIhKp3QLffTo0QCA77//Hn379oWOjg5mzZqFjIwM3Lx5E3Pnzi23IomIqHQqn7a4YMECTJo0CQYGBqhZsyZ++eWX8qiLiIhUpPKFRXv27ClyAy0iItI8lVvoAwYMQFBQEPr374969epBS0tL3q9hw4ZlWhwRESlP5UBft24dAGDLli3yMJfJZNDS0sK1a9fKtjoiIlKayoF+9OjR8qiDiIg+kMqBbmpqWqRbfn4+bty4UWw/IiJSD5UDPSYmBkFBQQo35wIAXV1dXLhwoSxrIyIiFSgd6Pb29jh37hwWL16MHj16oFatWkhMTESfPn3w888/w8PDozzrJCKiUih92uLq1asBAA8fPsSUKVPQu3dvpKeno0ePHli6dClveUtEpGFKB/rjx48BALVr14ZIJELDhg1x69YtAK8fK5eSklI+FRIRkVJUvn2upaUlli1bBgCoU6cOjh8/jvj4eF5sRESkYUoHeuHtc6dMmYIjR44gNTUVEyZMwNixY+Hl5YVhw4aVW5FERFQ6lc9yMTMzw59//gng9SmMx44dw4sXL3i3RSIiDXuvZ4o+ePCgyDNFjx8/Di8vr7KsjYiIVKB0oJ89exZt2rRBREQEQkNDi1z237p1awY6EZEGKb0PfcSIEQCA6OhohIWFYeXKlfD09ERcXBw+//xz2NnZlVuRRERUOqUD/fz58wCArKws9OjRA59++imuXLkCIyMjzJgxAwcOHCi3IomIqHRKB3pgYCAAoH79+sjOzkaDBg3w8OFDyGQy1K5dG8+fPy+vGomISAlK70MvPADq4OCACRMm4KeffoKVlRV+/PFH6OrqokGDBuVWJBERlU7pFnpQUBAAYNq0aWjSpAny8/Mxffp0HDlyBL///jumT59ebkUSEVHpVD5t0cDAALNnzwbw+jYA+/fvL/OiiIhIdSoHekZGBjZt2oRHjx6hoKBAod/8+fPLrDAiIlKNyoHu6+uL//77D7a2thCJVH7GNBERlROVA/3ixYs4duwYjIyMyqEcIiJ6Xyo3sRs3bgyJRFIetRAR0QdQuYU+a9YsjBo1Cv369YOhoaFCv379+pVVXUREpCKVA33btm24ceMG1q1bp7APXUtLi4FORKRBKgf6gQMHsGvXLpibm5dHPURE9J5U3odubGyMxo0bl0ctRET0AVRuoU+YMAH+/v4YPnw4DA0N5bfRBYCGDRuWaXFERKQ8lQN92rRpAIA///yzyD3Rr127VrbVERGR0lQO9KNHj5ZHHURE9IFUDnRTU9PyqIOIiD6QyoH+6aefKuw3fxN3uRARaY7KgR4VFaXwOi0tDRs2bEDfvn3LrCgiIlKdyoHu6OhYpFubNm3g5eWFgQMHqjQtqVQKLy8vmJqaYsGCBQBe3ysmODgYN2/ehLGxMcaMGQNPT09VyyQiqnLK5HaJtWrVQkpKisrjrVixAmfOnJG/zszMlN9WICEhASEhIZg/fz4uXbpUFmUSEQmayi30P/74Q+G1RCLB0aNH0aJFC5Wmc/r0aRw6dAg9evSQdzt06BCMjIwwePBgAEC7du3g7u6O6Oho2NjYqFoqEVGVonKgh4WFKbwWi8UwMzOTP8VIGc+ePcOMGTMQHh6OyMhIefekpCRYWFgoDGtubo5t27apWiakUmmJ/cRiscrTE4p3rRcqe9zWVMd1pnz3t6kc6H/99Vex3fPy8pQav6CgAFOmTIG3tzc+/fRThX4vXryAvr6+Qjc9PT3k5OSoWiYuX75cbHd9fX1YWVmpPD2hSExMRG5urqbLqBK4ram+rXGdfdjn873Ochk6dKhCtwsXLsDPzw8HDx4sdfyIiAhUq1YNQ4YMKdJPX18fWVlZCt3y8vJQo0YNVcuEtbV1lf6mL4mlpaWmS6Aqgtua6kpaZ1KptMRG6ptUDvSVK1fCwMAA/fv3R35+PsLCwrB27Vqlz0TZtWsXnjx5grZt2wL4v5b9kSNHMHXqVJw6dUph+Js3b6J58+aqlgmxWMxALwbXCakLtzXVfeg6UznQf/31VwwfPhzp6enYu3cvnj9/jjVr1sDZ2Vmp8Q8cOKDwuvDeMAsWLEB6ejoWL16MyMhIDB48GGfPnsWePXsQHh6uaplERFWOyoFuZWWFNWvWwNvbGy1btsSmTZuK7Pd+X8bGxli7di1CQkIQFhaG2rVrIyAgQOkvCyKiqkzpQF+xYoXCa3t7e8TFxSEiIgLa2q8nM27cOJULKLygqJC1tTU2b96s8nSIiKo6pQM9Pj6+SDdra2ucPXsWAEq8vwsREamH0oG+YcOG8qyDiIg+0AdfKfomPiSaiEhzPvhK0czMTOTm5qJNmzYMdCIiDfrgK0VlMhl++eUXZGRklFVNRET0Hj74botaWloYPnw4du3aVRb1EBHReyqT2+feuXOHZ7kQEWmYyrtchgwZohDeEokEiYmJ+OKLL8q0MCIiUo3Kge7k5KTwWiQSwcvLC926dSuzooiISHUqB3pxV4NKpVLcv38fTZs2LZOiiIhIdWWyD/3p06f4/PPPy2JSRET0nsok0IHXpy8SEZHmlFmg8ywXIiLNKrNAJyIizVL6oGhCQkKJ/dLS0sqkGCIien9KB3pxzwB9E3e5EBFpltKBfv369fKsg4iIPhD3oRMRCQQDnYhIIBjoREQCwUAnIhIIBjoRkUAw0ImIBIKBTkQkEAx0IiKBYKATEQkEA52ISCAY6EREAsFAJyISCAY6EZFAMNCJiASCgU5EJBAMdCIigWCgExEJBAOdiEggGOhERALBQCciEggGOhGRQDDQiYgEgoFORCQQGgn069evw9vbG46OjujQoQOmTp2KtLQ0AMDFixfh6ekJOzs7uLq6YuvWrZookYio0lF7oOfl5WHEiBGws7PDyZMnsXfvXmRkZGD69OnIzMzEqFGj0K9fPyQkJCAkJATz58/HpUuX1F0mEVGlo/ZAT05OxqeffgofHx9Uq1YNxsbG+Oqrr5CQkIBDhw7ByMgIgwcPhra2Ntq1awd3d3dER0eru0wiokpHW90zbNasGdasWaPQ7eDBg2jZsiWSkpJgYWGh0M/c3Bzbtm1TeT5SqbTEfmKxWOXpCcW71guVPW5rquM6U77729Qe6G+SyWT46aefcOzYMWzcuBFRUVHQ19dXGEZPTw85OTkqT/vy5cvFdtfX14eVldV71SsEiYmJyM3N1XQZVQK3NdW3Na6zD/t8aizQs7Oz4e/vj3///RcbN26EpaUl9PX1kZWVpTBcXl4eatSoofL0ra2tq/Q3fUksLS01XQJVEdzWVFfSOpNKpSU2Ut+kkUC/f/8+Ro4ciYYNG2Lbtm2oXbs2AMDCwgKnTp1SGPbmzZto3ry5yvMQi8UM9GJwnZC6cFtT3YeuM7UfFM3MzMS3334Le3t7/Prrr/IwB4Du3bvj6dOniIyMhEQiQVxcHPbs2YMBAwaou0x6i7SgQNMlaERVXW6qnNTeQt+xYweSk5Oxf/9+HDhwQKHf+fPnsXbtWoSEhCAsLAy1a9dGQEAAnJ2d1V0mvUUsEiFgUyzuPMnUdClq07S+IYIHddR0GURKU3uge3t7w9vbu8T+1tbW2Lx5sxorImXdeZKJ64/SNF0GEZWAl/4TEQkEA52ISCAY6EREAsFAJyISCAY6EZFAMNCJiASCgU5EJBAMdCIigWCgExEJBAOdiEggGOhERALBQCciEggGOhGRQDDQiYgEgoFORCQQDHQiIoFgoBMRCQQDnYhIIBjoREQCwUAnIhIIBjoRkUAw0ImIBIKBTkQkEAx0IiKBYKATEQkEA52ISCAY6EREAsFAJyISCAY6EZFAMNCJiASCgU5EJBAMdCIigWCgExEJBAOdiEggGOhERALBQCciEggGOhGRQDDQiYgEgoFORCQQDHQiIoFgoBMRCUSFDPRnz55h7NixaNu2LZycnBASEoL8/HxNl0VEVKFVyED39fVF9erVERsbi23btuH06dOIjIzUdFlERBVahQv0e/fu4Z9//sGUKVOgr6+PRo0aYezYsYiOjtZ0aUREFZq2pgt4W1JSEoyMjNCgQQN5NzMzMyQnJ+P58+eoVavWO8eXyWQAgFevXkEsFhc7jFgsRnMTQ1QTa5Vd4RVck3q1IJVKIZVK32t8rrP3w/WmOq6zogq7F+ZbSSpcoL948QL6+voK3Qpf5+TklBroBQUFAICrV6++czj35tWB5tU/oNLK58KFCx80PtfZ++F6Ux3XWfEK860kFS7Qq1evjtzcXIVuha9r1KhR6vja2tqwtraGSCSCllbV+YYnIuGSyWQoKCiAtva7I7vCBXrz5s2RkZGBp0+fom7dugCAW7duwcTEBDVr1ix1fJFIhGrVqpV3mUREFU6FOyj6ySefoE2bNpg3bx6ys7Px4MEDhIeHw8PDQ9OlERFVaFqy0vaya8DTp08xZ84cxMfHQyQSoV+/fpg8eXKJBzmJiKiCBjoREamuwu1yISKi98NAJyISCAY6EZFAMNCJiASiwp2HLgSzZs3Cnj17AAD5+fmQSCQKV7/+8ssvaNu2rabKq5BcXV2Rmpoqv3BCJpPBwMAA7u7umDJlCkQitj2KY2lpiaioKDg5OWm6lEojMzMToaGhOHbsGDIzM2FgYIAOHTpg0qRJMDEx0XR5H0ZG5Wr79u2yLl26aLqMCq9Lly6y7du3K3S7fv26zNnZWbZs2TINVVXxWVhYyOLi4jRdRqXi7e0tmzBhguzJkycymUwmS01Nlfn6+sp69uwpk0gkGq7uw7DZo2aJiYkYOXIkHB0d8dlnnyEwMBBZWVmaLqtCsrS0hIODA65evYpXr15h2bJl6Nq1KxwdHTFy5Ejcu3dP0yVWaK9evcLChQvRq1cv2NnZoV27dpg7d26pN3gSurNnz6J79+6oV68eAKBu3bqYPn06WrdujefPn8PV1RU7duyQDx8fHw9LS0tNlasSBroapaenY+jQoTA3N8eJEyewfft23LlzB1OnTtV0aRWORCJBfHw84uLi0KFDB4SGhiImJgaRkZGIjY1F69atMWzYMLx8+VLTpVZY69evR2xsLNavX4/z588jPDwcmzdvRlxcnKZL06jevXtj9uzZCAwMxL59+/Do0SPUq1cPCxYsQO3atTVd3gfhPnQ1Onr0KHR0dORXverp6WHmzJno3bs3UlNT5S2GqiooKAjz5s2TvzYxMYG3tze++eYb2NvbIywsDI0aNQIA+Pj4YMuWLYiJiYGbm5umSq7QBg4ciC+//BJ16tTBkydPkJeXhxo1aiAlJUXTpWlUcHAwnJycsG/fPsyaNQtZWVlo3Lgxxo8fjy+++ELT5X0QBroaPXv2DA0bNlS4hcHHH38MAPJWQlU2e/Zs9O/fv0j3Z8+eIScnBxMnTlQ4OCqRSPDo0SN1llip5ObmYs6cOUhISICJiQmsrKzkd+2rykQiEfr27Yu+fftCJpPh1q1b2LVrF6ZOnVrpP4MMdDUyNTVFcnIypFKpPNTv378PAJV+QypPxsbG0NXVxdq1a2Frayvvfvv2bYUHoZCigIAAGBoa4uTJk9DV1UVBQQEcHBw0XZZGxcbGYsKECTh27BiMjIygpaUFc3Nz/PDDDzh16hSuXr0KkUgEiUQiHyc9PV2DFauG+9DVqFOnTgCAJUuWIC8vD6mpqQgJCYGzszNMTU01XF3FJRKJ4OHhgaVLl+Lx48coKCjAzp070adPHx4YBZCWlobHjx8r/OXn5yM7Oxu6uroQiUTIzs7GokWLkJ2drRBWVY2DgwPq1KkDf39/JCYmQiKRIDs7G7t378bdu3fRuXNnmJmZ4ejRo/LPaFRUlKbLVhpb6GpUs2ZNrFu3DgsWLJCHe9euXXlQVAl+fn5Yvnw5Bg0ahIyMDDRq1AhhYWGwsrLSdGka5+vrW6Tbvn37EBAQgFmzZsHR0RE1atRA586d0bFjR9y4cUP9RVYQenp62LRpE1asWIExY8bg2bNn0NHRga2tLdatWwczMzNMnjwZgYGB6NChA+rXr49vv/0WZ8+e1XTpSuHdFomIBIK7XIiIBIKBTkQkEAx0IiKBYKATEQkEA52ISCAY6EREAsFAJyISCAY6EZFAMNCpUhk2bBjGjRtXbL8tW7bA0tISNjY2SE5OBgDY2dnhzJkzAFDkPtfq1Lt3b+zevRtnzpyBnZ2dvHtycjLs7Ozk9ZamcHl2796N3r17l1e5VEnxSlGqVI4dO4Zx48YhJiamyA3NvvzyS3Tp0gUTJkwodlxXV1eMGzeu2Ds6EgkBW+hUqXTq1AkNGzbEzp07FbpfuHABSUlJ6NixIywtLfHw4UMAr596FB8fX2Q6sbGxaNOmDfbv3w/g9e2LfX190a5dO3To0AE//PADnjx5AuD1E2tcXV2xcuVKdOzYEY6Ojhg/fjyys7MBAMuXL8fYsWMxfvx42NrawtXVFb///rt8Xrdu3cLo0aPRuXNn2NjY4PPPP8exY8cAAA8fPpTXu2zZMnz99dcKdS5evBijRo0CAJw7dw5Dhw6Fi4sLrK2t0b9/f1y4cKEM1ioJBQOdKhWRSIRBgwZh69atCo9S++2339CzZ0+lbkN8/PhxfP/99/jxxx/Rq1cvSCQSDBs2DGKxGIcOHZKH/HfffYf8/HwArwM/JSUFhw8fxtatW3H+/Hls2rRJPs2jR4/C3t4eCQkJmDNnDubOnYvTp08DAMaPHw8LCwscPnwYZ86cgYuLCwIDA4vU5eHhgYsXL+Lu3bsAAKlUit27d8PDwwN5eXkYM2YM3NzccOLECcTHx6Nx48ZYtGjR+65KEiAGOlU6Hh4eePr0qfxRahkZGdi/fz+GDh1a6rjHjx+Hj48PgoKC5He8PHPmDB48eICgoCDUrFkTtWrVQlBQEK5fv44rV67Ix/Xx8YGenh6aNGkCJycn3LlzR97P0tIS3t7e0NHRgYuLC9zc3LBr1y4AQEREBMaPHw+ZTIZHjx6hVq1axT41yNTUFO3bt8cff/wBADh58iSkUim6dOkCHR0d/P777xg0aBBevXqFR48ewcjIqMo/fYgUMdCp0qlZsya++OILbN26FQCwfft2WFlZwcbGptRxT58+jZYtWyrssnn27BmMjY1hYGAg72ZgYAAjIyOFJyK92frX0dFR+IXwySefKMzno48+QmpqKgDg+vXrGDBgAD777DMEBAQgMTGxxAc1e3p6Yvfu3ZDJZNi5cyf69u0LHR0diMVixMfHo0ePHujatSuCg4Px4MGDKv/AZ1LEQKdKaciQITh8+DDS09OxZcsWDBkyRKnxfvjhB4SFheH8+fPYvHkzgNct4/T0dPk+cQDIyspCenq60k+Serul/PDhQ3z00UdISUnBxIkTMWnSJMTFxSE6Ohp9+vQpcTpdu3ZFbm4uTpw4gb/++gseHh4AgIsXL2Lu3LkIDQ3FqVOnsH79enTo0EGp2qjqYKBTpWRubo42bdpgwYIFyM3NRY8ePZQaT0dHBw0aNIC/vz8WLlyI+/fvw9raGubm5pg9ezaysrKQlZWFwMBANG7cGPb29kpN98KFC9i1axekUimOHz+Oo0ePYsCAAXjx4gWkUin09fUBADdv3sTPP/8MAHj16lWx9fXr1w9BQUFo2bIlzMzMALz+ghGJRNDT05PPLyoqqthpUNXFQKdK65tvvsEff/yB//3vf9DR0VFp3AEDBsDBwQF+fn4QiUSIiIhAfn4+3Nzc0KVLF0gkEqxbtw7a2so91KtFixY4evQonJ2dsWDBAixevBh2dnZo1qwZpk6diilTpsDe3h7jx4/HgAEDoKurW+KTgzw9PfHo0SN56xwAOnTogEGDBmHw4MFo27YtAgMD4eXlhbS0NDx9+lSlZSfh4nnoRB9o+fLl+Oeff7BhwwZNl0JVHFvoREQCwUAnIhII7nIhIhIIttCJiASCgU5EJBAMdCIigWCgExEJBAOdiEggGOhERALBQCciEggGOhGRQPw/WfFCPpEq4g0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4, 3))\n",
    "sns.countplot(data=tips, x='day')\n",
    "\n",
    "plt.title('Seurueiden lukumäärä eri päivinä')\n",
    "plt.xlabel('Viikonpäivä')\n",
    "plt.ylabel('Lukumäärä')\n",
    "vkpv = ['To', 'Pe', 'La', 'Su']\n",
    "plt.xticks([0, 1, 2, 3], vkpv)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2286647b",
   "metadata": {},
   "source": [
    "**hue**-parametrin avulla voin tarkastella frekvenssijakaumaa toisen kategorisen muuttujan määrittämissä ryhmissä. Seuraavassa käytän muuttujaa **sex** ryhmittelevänä muuttujana."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a7a28e00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1aa7d76f590>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5, 3))\n",
    "sns.countplot(data=tips, x='day', hue='sex')\n",
    "\n",
    "plt.title('Seurueiden lukumäärä eri päivinä sukupuolen mukaan')\n",
    "plt.xlabel('Viikonpäivä')\n",
    "plt.ylabel('Lukumäärä')\n",
    "plt.xticks([0, 1, 2, 3], vkpv)\n",
    "plt.legend(['Mies', 'Nainen'], ncol=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc04c4ef",
   "metadata": {},
   "source": [
    "## Usean muuttujan frekvenssijakaumat samaan kuvioon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8d28d375",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.axis.XTick at 0x1aa7e2bdc90>,\n",
       " <matplotlib.axis.XTick at 0x1aa7d4a7650>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lista kategorisista muuttujista\n",
    "muuttujat = ['sex', 'smoker', 'day', 'time']\n",
    "\n",
    "# Kuvio, joka sisältää muuttujat-listan määrittämän määrän kaavioita\n",
    "fig, axs = plt.subplots(nrows=1, ncols=len(muuttujat), figsize=(12, 3))\n",
    "\n",
    "# Käydään muuttujat-lista läpi, i=järjestysnumero, muuttujar=muuttujan nimi\n",
    "for i, muuttuja in enumerate(muuttujat):\n",
    "    sns.countplot(data=tips, x=muuttuja, ax=axs[i])\n",
    "    axs[i].set_ylabel('')\n",
    "    \n",
    "\n",
    "fig.subplots_adjust(wspace=0.3)    # Kaavioiden välinen tyhjä tila\n",
    "\n",
    "fig.suptitle('Frekvenssijakaumat')\n",
    "\n",
    "axs[0].set_ylabel('lukumäärä')\n",
    "axs[0].set_xlabel('sukupuoli')\n",
    "axs[0].set_xticks([0, 1], ['mies', 'nainen'])\n",
    "\n",
    "axs[1].set_xlabel('tupakoija')\n",
    "axs[1].set_xticks([0, 1], ['kyllä', 'ei'])\n",
    "\n",
    "axs[2].set_xlabel('viikonpäivä')\n",
    "axs[2].set_xticks([0, 1, 2, 3], ['to', 'pe', 'la', 'su'])\n",
    "\n",
    "axs[3].set_xlabel('ajankohta')\n",
    "axs[3].set_xticks([0, 1], ['lounas', 'päivällinen'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d451a686",
   "metadata": {},
   "source": [
    "## catplot\n",
    "\n",
    "**catplot** mahdollistaa kategorisen muuttujan frekvenssijakauman tarkastelun muiden kategoristen muuttujien määrittämissä ryhmissä. **kind**-parametrin arvo **'count'** määrittää että kaaviolajina on **countplot**.\n",
    "\n",
    "**catplot**in koko määritellään **height**- ja **aspect**-parametreilla.\n",
    "\n",
    "Seuraavassa tarkastelen lounas- ja päivällisseurueiden (**time**) lukumääriä sukupuolen (**sex**) ja tupakoinnin (**smoker**) määrittämissä ryhmissä.\n",
    "\n",
    "Lisätietoa https://seaborn.pydata.org/generated/seaborn.catplot.html\n",
    "\n",
    "**catplot** tuottaa **Facetgrid**-luokan olion, jolla on omat funktionsa otsikointien ym. ominaisuuksien muotoiluun.\n",
    "Lisätietoa https://seaborn.pydata.org/generated/seaborn.FacetGrid.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8c6e28ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'tupakoimaton nainen')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.catplot(data=tips, x='time', row='sex', col='smoker', kind='count', height=2.5)\n",
    "\n",
    "g.set_axis_labels('', 'lukumäärä')\n",
    "g.set_xticklabels(['lounas', 'päivällinen'])\n",
    "\n",
    "axes = g.axes.flatten()    # Litistetään 2x2 kaaviomatriisin kaaviot listaksi\n",
    "axes[0].set_title('tupakoiva mies')\n",
    "axes[1].set_title('tupakoimaton mies')\n",
    "axes[2].set_title('tupakoiva nainen')\n",
    "axes[3].set_title('tupakoimaton nainen')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}