histplot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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": [
    "tips = sns.load_dataset('tips')\n",
    "tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, y = 'total_bill')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', binwidth = 5)\n",
    "plt.show()"
   ]
  },
  {
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', \n",
    "             binwidth = 5, fill = False, element = \"step\",\n",
    "             hue = 'time'\n",
    "            )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', \n",
    "             fill = False, element = \"step\",\n",
    "             hue = 'time', log_scale = True\n",
    "            )\n",
    "plt.show()"
   ]
  },
  {
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', \n",
    "             hue = 'time', kde = True, multiple = \"stack\"\n",
    "            )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', \n",
    "             hue = 'time', kde = True, multiple = \"stack\"\n",
    "            )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', \n",
    "             hue = 'time', kde = True, stat='probability'\n",
    "            )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', \n",
    "             hue = 'day', element='step', fill = False, cumulative = True\n",
    "            )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', \n",
    "             hue = 'day', element='step', hue_order = ['Sat', \"Sun\"],\n",
    "             fill = False, cumulative = True\n",
    "            )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'day', shrink = 0.8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'day', hue = 'time',\n",
    "             shrink = 0.8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'day', hue = 'time', multiple = 'dodge',\n",
    "             shrink = 0.8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+yV3HfG09z45ruvvqY34NbPV1Fe5dpLs/lORLxx1+VZJDm9uHkrx6yTlN1933dPftm9tfzvYPxmfFup623vbA5ssnbz461vS0VdWzk3xPkl845rD13Bmrr6tw737P7O57ku0IJXnGyvMZq6r2J3lhko/Eup6RzWXdjyW5N8kt3W1Nz8zPJHljkq8fc8x6nrlO8v6qOlJV122Orb6uFy49IExUVZcmeU+SH+3u+6tq7SmN1t2PJLm6qvYkubmqXrDylMaqqlcmube7j1TVS1aezm5zoLs/X1XPSHJLVX1y7QklzrjPB1+oqm9Oks3ne1eezzhV9eRsR/ud3f3ezWHrehZ0931JPpjt12ZY09NzIMn3VtVnkvxKkpdW1TtiPc9Yd39+8/neJDcn+facA+sq3LvfryU5uLl9MMmvrjiXcWr71PoXk9zV3T99zF3W9TRV1d7NmXaq6qlJvjvJJ2NNT0t3/0R3P7u79yd5TZLf6u7Xxnqekaq6pKoue/R2kr+R5I6cA+vqDVh2kaq6KclLsr2DzReSvDnJf0nyriT7ktyd5Pu7+/gXsHESVfXiJL+d5BP5f88f/tNsP89tXU9DVX1rtl/Uc0G2Tx7e1d3/sqq+Kdb0jGwulf94d7/Sep6Zqnputs+yk+2nlX+5u//1ubCuwg0Ag7hUDgCDCDcADCLcADCIcAPAIMINAIMINwAMItywS1TVnqr64Sd4zP6q+nun8GftP3Z72BPc/0NV9XMnue+/H/9nVNVLHt1uEjgzwg27x54kjxvuJPuTPGG4z0R3f8dO/vlwvhNu2D3emuQvVtXHqurfbz7uqKpPVNUPHPOY79w85g2bs+LfrqrbNx/fSHSfU1W/WVWfqqo3P3qwqh54vP8RcGbsDga7xw1JXtDdV1fV30nyD5Ncle23wP2dqvrQ5jE/3t2vTJKqujjJtd39lap6XpKbkmyd4njfnuQFSf508+f/1+4+fHa/JeB4wg2704uT3LTZPvMLVfXfkvy1JPcf97gnJ/m5qro6ySNJ/tI3MMYt3f3FJKmq927GFG7YYcINu9Opbhj+hmxvSHNVtp86+8o3MMbxGx3Y+AAW4Dlu2D2+nOSyze0PJfmBqrqgqvYm+a4kHz3uMUnyZ5Pc091fT/K6bO/Ydaquraqnb7bmfHWS285w/sApcMYNu0R3f7Gqbtv8CtZvJPm9JB/P9pnwG7v7j6rqi0kerqqPJ3l7kp9P8p6q+v4ktyZ58BsY8sNJ/nOSb8n2locuk8MCbOsJAIO4VA4Ag7hUDpxUVb08yU8ed/gPuvtvrTEfwKVyABjFpXIAGES4AWAQ4QaAQYQbAAYRbgAY5P8CIxzfUtdFo/wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', y = 'tip')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAF0CAYAAADl6tpzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAblklEQVR4nO3de3iV5Znv8d9NSEjCQRAEQaTBonhAgxqpiEUEA7bYw2511NntaDsVp+14aGs9VKu129l12r27nY7ba4a27ro9K223nbZqFUQsIppYGMFotR3AKHLUhFMgh3v/kQVDOUaS9bzcK9/PdeXKWu9617rv9RDyy/usd63H3F0AACCGHlk3AAAAOo7gBgAgEIIbAIBACG4AAAIhuAEACITgBgAgkJ5ZN9ARgwYN8oqKiqzbAAAgidra2rXuftiebgsR3BUVFaqpqcm6DQAAkjCz5Xu7jalyAAACIbgBAAiE4AYAIJAQr3EDAOJqbm5WfX29mpqasm7loFNaWqrhw4eruLi4w/chuAEAeVVfX6++ffuqoqJCZpZ1OwcNd9e6detUX1+vkSNHdvh+TJUDAPKqqalJAwcOJLR3YWYaOHDgB56JILgBAHlHaO/ZgYwLwQ0AQCAENwAAgeQtuM3sbjNbbWZLdtp2qJk9ZWZv5L4PyFd9AED3tGnTJk2fPl2VlZUaM2aMHn74YdXW1uqss87SqaeeqmnTpmnlypVqaGjQ6NGj9frrr0uSLr74Yv34xz/OuPv9y+cR988knbvLtuslzXb3oyXNzl0HAKDLPPHEExo2bJgWL16sJUuW6Nxzz9UVV1yhWbNmqba2Vl/84hd144036pBDDtGdd96pSy+9VA899JDee+89XXbZZVm3v195ezuYu88zs4pdNn9K0qTc5XskzZV0Xb56AAB0PyeeeKKuueYaXXfddTrvvPM0YMAALVmyRNXV1ZKk1tZWDR06VJJUXV2tRx99VF/96le1ePHiLNvusNTv4x7i7islyd1XmtngxPUBAAVu2IgP69n5L+p3Tz6ua6+7XpOnnKNjjztec56d/xf7bWxqVVtbm5YsfVWlpWWqX7lG/QcNPeC6fUqLOtt6hxy0J6eZ2QwzqzGzmjVr1mTdDgAgiJXvvKPy8nJddPF/1ZVXf0M1L72odWvXauELCyS1f5Jb3atLJUl3/ugOjT72ON19z336yt9dpubm5ixb75DUR9yrzGxo7mh7qKTVe9vR3WdKmilJVVVVnqpBAEBsS5e+opu+db169Oih4p7F+l8/ulM9e/bUN79xtRobG9XS0qKv/P2V6llcrHt+drfmPrdAffv21RkTztT3b/8H3fjt72T9FPYpdXD/StIlkm7PfX8scX0AQIE7p3qazqmettv2J5+eu9u22kU73vik27//P/PZVpfJ59vBHpS0QNJoM6s3s79Ve2BXm9kbkqpz1wEAQAfl86zyi/dy05R81QQAoNAdtCenAQCA3RHcAAAEQnADABAIwQ0AQCAENwCg4PUt66nLvnjJjustLS2qOPJwnf+ZT+7zfs/Nm7vffVJL/T5uAEA3V3XbU1q7cVuXPd6gPiWqual6n/v07t1br766VFu2bFFZWZnmzH5Kw4Yd0WU9pMQRNwAgqa4M7Q/yeNVTp+nJx38rSZr1yMM6/4ILd9xW89KLmjLpTE04vUpTJp2pP/7x9d3uv2nTJn358i/prAmna8LpVfr1v/2qa57AB0RwAwC6hfMvuFCzHn1YTU1NWrLkFZ02btyO244ZfayefHqu5r9Qo5tu/o5uvfmm3e7/g3/87zpr0tl6dv4L+s0TT+umb12nTZs2pXwKkpgqBwB0E2NOPEkrVizXo488pKnTzv2L2xobGnT5l76gP/3pTZnZHhcbmTP7af32N7/Wj+74oSRpa1OT3nprhY499rgk/W9HcAMAuo2PTz9PN95wrR5/crbWr1+3Y/t/++4tmnjWJD34yM+1fPkyfXzq7h/y6e6678FHdMwxo1O2vBumygEA3cbn/+YLuv6Gm3TCmBP/YntjQ8OOk9Xuv/eePd53yjnV+te7/rfc2xesXLzoD/ltdi8IbgBAQWlu3f1r+/bBQ4frsi9fqeZWqaVVcm/f/vdXX6Nbbr5RU87+qLY1t8pz+++8z9evvUlbtzXrI1Un67RTKvXdW2/ZrUYKtv0vh4NZVVWV19TUZN0GAOAA1NXV6bjj/vN14Hy/HWxjU8IU3Umf0qIDut+u4yNJZlbr7lV72p/XuAEASe3vPdfYN6bKAQAIhOAGACAQghsAgEAIbgAAAiG4AQAIhOAGABS8Q3qX6IyPnLrja/nyZXmrVVFRobVr1+bt8Xk7GAAgrR8cLW1a3XWP13uw9M039rlLWVmZnl9Y23U1M8QRNwAgra4M7U483h9ertW51Wfro2eM06c/8TG9u3KlJOljUyfr+m9+XdPOmaRTx45Rbc1L+usLz9fYMcfqu9/59o77X3TBZ/TRM8bptFNO0t0//fEea9x3330aN26cxo4dq8svv1ytrZ3/cBiCGwBQ8LZs2bJjmvziv/qsmpubdc3Xr9K9Dzyi555/UZ//my/o1p1CubikRE8+PVd/+6UZuuiCz+iHd/yzFtYu1v33/l+tW9e+OMld//oTPff8i5o3f6H+5a47d2zfrq6uTg8//LDmz5+vRYsWqaioSPfff3+nnwtT5QCAgrfrVPmrS5eo7tWl+tR57ct7tra26vDDD99x+8enf0KSdMKYMTru+ON1+NChkqSKkSP1dv1bGjhwoP7lrn/Wv/3qMUnS2/Vv6Y033tDAgQN3PMbs2bNVW1ur0047TVL7Hw+DBw/u9HMhuAEA3Y6769jjjtecZ+fv8fZevXpJknr06KGS3OXt11taWvTcvLl6Zs5szZ77e5WXl+tjUyerqalptxqXXHKJvve973Vp70yVAwC6naOPGa11a9dq4QsLJEnNzc2qe3Vph+/f0NCo/gMGqLy8XK+//ppeenHhbvtMmTJFs2bN0urV7a/Br1+/XsuXL+907wQ3AKDbKSkp0b0PPKybb7pB48edojM+cqpeyIV4R1RPnabWlhadftrJuu3WW3TauI/sts/xxx+v2267TVOnTtVJJ52k6upqrcydANcZLOsJAMir3ZatzPPbwVjWEwCArrSf91x31oEGaBRMlQMAEAjBDQBAIAQ3ACDvIpxPlYUDGReCGwCQV6WlpVq3bh3hvQt317p161RaWvqB7sfJaQCAvBo+fLjq6+u1Zs2arFs56JSWlmr48OEf6D4ENwAgr4qLizVy5Mis2ygYTJUDABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCCZBLeZfc3MlprZEjN70MxKs+gDAIBokge3mR0h6UpJVe4+RlKRpItS9wEAQERZTZX3lFRmZj0llUt6J6M+AAAIpWfqgu7+tpn9D0krJG2R9Dt3/92u+5nZDEkzJGnEiBFpmwSAPFvw5uZM6o4fVZ5JXXSdLKbKB0j6lKSRkoZJ6m1mn9t1P3ef6e5V7l512GGHpW4TAICDUhZT5edI+g93X+PuzZJ+IemMDPoAACCcLIJ7haTTzazczEzSFEl1GfQBAEA4yYPb3RdKmiXpZUmv5HqYmboPAAAiSn5ymiS5+y2SbsmiNgAAkfHJaQAABEJwAwAQCMENAEAgBDcAAIEQ3AAABEJwAwAQCMENAEAgBDcAAIEQ3AAABEJwAwAQCMENAEAgmXxWOQB0d+NHlWfdAoLiiBsAgEAIbgAAAiG4AQAIhOAGACAQghsAgEAIbgAAAiG4AQAIhOAGACAQghsAgEAIbgAAAiG4AQAIhOAGACAQghsAgEAIbgAAAiG4AQAIhPW4gQOw4M3NmdRNvYbz1sXzktbbrlflxKT1usu/Z3dR6P+eHHEDABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgbAeN4CDyqqGFr2deD3lVY0tGtKPX4eIgZ9U4ACMH1WedQtJ9KqcmLxm6tCWpCH9enabf9PuoND/LZkqBwAgEIIbAIBACG4AAAIhuAEACITgBgAgEIIbAIBACG4AAAIhuAEACITgBgAgEIIbAIBACG4AAAIhuAEACCST4Daz/mY2y8xeM7M6MxufRR8AAEST1epg/yTpCXc/38xKJBX2Ui4AAHSR5MFtZv0kTZR0qSS5+zZJ21L3AQBARFkccR8laY2k/2NmlZJqJV3l7pt23snMZkiaIUkjRoxI3iSwLwsyWDN6VWOLhvRL+182i5rL1m5TWQmn3wB7k0Vw95R0iqQr3H2hmf2TpOslfXvnndx9pqSZklRVVeXJuwSQibKSHsn/WAAiyeLP2npJ9e6+MHd9ltqDHAAA7Efy4Hb3dyW9ZWajc5umSHo1dR8AAESU1XzUFZLuz51R/mdJX8ioDwAAQskkuN19kaSqLGoDABAZp24CABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgXTofdxmdoqkMyW5pPnu/nJeuwIAAHu03yNuM7tZ0j2SBkoapPZVvW7Kd2MAAGB3HTnivljSye7eJElmdruklyXdls/GAADA7joS3MsklUpqyl3vJelP+WqoUGWxfrMkjR9VnkndQvd2Q0vymqPXvaiS9yxpzZGNy9RYOjhpzb4trtd8UtKaJ731W7WsKk5aU5J6Tvhs0nor5s1JWm+7ERMnJ61X6L9vOxLcWyUtNbOn1P4ad7Wk35vZjyTJ3a/MY3/AQenQPhn8kn/PVFacNrh7mJLXbGlLP769ijlPF3F0JLh/mfvabm5+WgEAAPuz3+B293tSNAIAAPZvr8FtZo+4+1+Z2StqnyL/C+5+Ul47AwAAu9nXEfdVue91kr6503aT9P28dQQAAPZqr8Ht7itzF0e5+/KdbzOzY/PaFQAA2KN9TZV/WdJXJB1lZv++0019Jc3Pd2MAAGB3+5oqf0DS45K+J+n6nbZvcPf1ee0KAADs0b6myhskNaj9k9MAAMBBgE8dAAAgEIIbAIBACG4AAAIhuAEACITgBgAgEIIbAIBACG4AAALpyLKeAA4CrW2uLc1pa/babXmh/Gttk1Y1tCSteeLGVWptTXscs2Vbm+re3Jy05qHNnnx9dXQ9gjuR8aPKs24BXWjy6LLkNRcUnZG85nqNT/6zW//mZlUkrShtaTpB/Q5J++uwMfEfJ5K0/kPp/z2zUOjPkalyAAACIbgBAAiE4AYAIBCCGwCAQAhuAAACIbgBAAiE4AYAIBCCGwCAQAhuAAACIbgBAAiE4AYAIBCCGwCAQAhuAAACIbgBAAiEZT0T2bp4XiZ1e1VOTFrvrad/nbSeJPXY/L4a+gxPWrPP5ne1sfzwpDU/tHmlGkoHJ63Zf+tq/fnttM+zf3Ob3q8Yn7RmFrY0u1Y1pl/aE/ER3EAUZupVnHiSbKulrSepV3GP9Ospj5qctp6k9W9u1pDkVVEImCoHACAQghsAgEAIbgAAAiG4AQAIhOAGACAQghsAgEAIbgAAAiG4AQAIhOAGACAQghsAgEAIbgAAAiG4AQAIJLPgNrMiM/uDmaVfTgoAgKCyPOK+SlJdhvUBAAgnk+A2s+GSpkv6SRb1AQCIKqv1uO+QdK2kvnvbwcxmSJohSSNGjEjTFTptS7MnrzloW4P03uakNfsUSUpbUn1aGtWjsSVpzRLfpi1JK2Zjzuvpn+X6jS064pCsfgWns+DNxP9RcpKv6Z5Q8p8aMztP0mp3rzWzSXvbz91nSpopSVVVVenToIv1qpyYdQtJrDt6SvKazTUPqKzE0hZtbdXGfocnLVnSsEnNZf2T1myWdNRZZyet2V0c2qdY40eVZd0GAspiqnyCpE+a2TJJD0mabGb3ZdAHAADhJA9ud7/B3Ye7e4WkiyTNcffPpe4DAICIeB83AACBZHpmhLvPlTQ3yx4AAIiEI24AAAIhuAEACITgBgAgEIIbAIBACG4AAAIhuAEACITgBgAgEIIbAIBACG4AAAIhuAEACKTwF4PtxrJYB7ds9nUqKkq7xOaIDSu0qWRw0prlh45U64b6pDV7t2zUpg1JS6q0tUl/fvaZpDU3b3OtHjE+ac133m/VsP5FSWuuWN+q3yxtSlpTkqafUJq8JroWwY0utaGth8oTB/f6pne1us+IpDUHNW3R+kMOTVpTkjb2HZ60Xv8t7yatl5Vh/Ys0eXTatbGzCO0sjB9VnnULBYepcgAAAiG4AQAIhOAGACAQghsAgEAIbgAAAiG4AQAIhOAGACAQghsAgEAIbgAAAiG4AQAIhOAGACAQghsAgEAIbgAAAiG4AQAIhOAGACAQ1uMuYINeuDN5zSEbFmlDSdp1qnu3btIfmzxpzaPKN6rXpmVJa/YuknpsTrs+dmnbFr23rS1pzZbWpOWQZ1sXz8ukbq/KiZnUTYHgLmDFPdNPqGw9bJJaBp+QtOYfN0srPvzppDWHvvWYjh2Udnwb129QW7/BSWuuaXY1fmh80pqSNHlUWfKaqU0/oTTrFhAUU+UAAARCcAMAEAjBDQBAIAQ3AACBENwAAARCcAMAEAjBDQBAIAQ3AACBENwAAARCcAMAEAjBDQBAIAQ3AACBENwAAARCcAMAEAjLeiYy5/UtyWuOemu+zNLWLC/tq5b695LWPNx76LEBn0ha85xN7+q9rWkHt7ioSBu3pV13vH/TarUtW5C0Zmuba4HOSFpTksaPKk9eEzgQBHcBW1o0UOUlacNl46p5ahhYlbRms3qpcnDayaOVzSeoX6+0Nbdsa9O7Q9MG2pFvP68+xWl/hrY2tyWth/zqVTkx6xYKDlPlAAAEQnADABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgRDcAAAEQnADABAIwQ0AQCAENwAAgSQPbjM70syeMbM6M1tqZlel7gEAgKiyWB2sRdI33P1lM+srqdbMnnL3VzPoBQCAUJIfcbv7Snd/OXd5g6Q6SUek7gMAgIgyXY/bzCoknSxp4R5umyFphiSNGDEibWN5MHjFguQ1+6yfrUaVJa15mG1QcUtD0po9ehSp5v2WpDWHtSYtJ0ka0rJa/dak/Tnq3bxaTb2GJK0JYN8yC24z6yPp55KudvfGXW9395mSZkpSVVWVJ26vy5WXWPKabYMqtbFkUNKajf1GatPQCUlrtrW0qXJI2smjbUPG6/jRaf8o2rp4XtJ6kqQBw9SrcmL6ugD2KpOzys2sWO2hfb+7/yKLHgAAiCiLs8pN0k8l1bn7D1PXBwAgsiyOuCdI+rykyWa2KPf18Qz6AAAgnOSvcbv77yWlf8EXAIACwCenAQAQCMENAEAgBDcAAIEQ3AAABEJwAwAQCMENAEAgBDcAAIEQ3AAABEJwAwAQCMENAEAgma7HnZVtLz2RvOaA9Su0pag8ac3evlFtW5OWVB8/XBvSltSQre9owIo5iatKGj09fc1uYMGbmzOpO35U2v+fwIHqlsGdha1uWlt8aNKaLUddqm19hyetuVZS5eRJSWtm8YdYFlgXG4DEVDkAAKEQ3AAABEJwAwAQCMENAEAgBDcAAIEQ3AAABEJwAwAQCMENAEAgBDcAAIEQ3AAABEJwAwAQCMENAEAgBDcAAIEQ3AAABEJwAwAQCMENAEAg5u5Z97BfVVVVXlNTk3UbAAAkYWa17l61p9s44gYAIBCCGwCAQAhuAAACIbgBAAiE4AYAIBCCGwCAQAhuAAACIbgBAAiE4AYAIBCCGwCAQAhuAAACIbgBAAiE4AYAIJAQq4OZ2RpJy7PuI6hBktZm3USBYUy7HmPa9RjTrpdyTD/k7oft6YYQwY0DZ2Y1e1saDgeGMe16jGnXY0y73sEypkyVAwAQCMENAEAgBHfhm5l1AwWIMe16jGnXY0y73kExprzGDQBAIBxxAwAQCMFdQMzsbjNbbWZLdtp2qJk9ZWZv5L4PyLLHaMzsSDN7xszqzGypmV2V2864HiAzKzWzF81scW5Mb81tZ0w7wcyKzOwPZvbr3HXGs5PMbJmZvWJmi8ysJrct83EluAvLzySdu8u26yXNdvejJc3OXUfHtUj6hrsfJ+l0SV81s+PFuHbGVkmT3b1S0lhJ55rZ6WJMO+sqSXU7XWc8u8bZ7j52p7eBZT6uBHcBcfd5ktbvsvlTku7JXb5H0qdT9hSdu69095dzlzeo/RfjEWJcD5i325i7Wpz7cjGmB8zMhkuaLuknO21mPPMj83EluAvfEHdfKbWHkKTBGfcTlplVSDpZ0kIxrp2Sm9ZdJGm1pKfcnTHtnDskXSupbadtjGfnuaTfmVmtmc3Ibct8XHumLghEZGZ9JP1c0tXu3mhmWbcUmru3ShprZv0l/dLMxmTcUlhmdp6k1e5ea2aTMm6n0Exw93fMbLCkp8zstawbkjji7g5WmdlQScp9X51xP+GYWbHaQ/t+d/9FbjPj2gXc/X1Jc9V+bgZjemAmSPqkmS2T9JCkyWZ2nxjPTnP3d3LfV0v6paRxOgjGleAufL+SdEnu8iWSHsuwl3Cs/dD6p5Lq3P2HO93EuB4gMzssd6QtMyuTdI6k18SYHhB3v8Hdh7t7haSLJM1x98+J8ewUM+ttZn23X5Y0VdISHQTjygewFBAze1DSJLWvYLNK0i2S/p+kRySNkLRC0gXuvusJbNgLMztT0nOSXtF/vn74LbW/zs24HgAzO0ntJ/UUqf3g4RF3/66ZDRRj2im5qfJr3P08xrNzzOwotR9lS+0vKz/g7v9wMIwrwQ0AQCBMlQMAEAjBDQBAIAQ3AACBENwAAARCcAMAEAjBDQBAIAQ3UCDMrL+ZfWU/+1SY2V934LEqdl4edg+3X2pmd+7ltud3fQwzm7R9uUkAnUNwA4Wjv6R9BrekCkn7De7OcPcz8vn4QHdHcAOF43ZJHzazRWb2g9zXEjN7xcwu3Gmfj+b2+VruqPg5M3s59/VBQvdIM3vCzF43s1u2bzSzjfu6E4DOYXUwoHBcL2mMu481s89K+jtJlWr/CNyXzGxebp9r3P08STKzcknV7t5kZkdLelBSVQfrjZM0RtLm3OP/xt1ruvYpAdgVwQ0UpjMlPZhbPnOVmT0r6TRJjbvsVyzpTjMbK6lV0jEfoMZT7r5OkszsF7maBDeQZwQ3UJg6umD419S+IE2l2l86a/oANXZd6ICFD4AEeI0bKBwbJPXNXZ4n6UIzKzKzwyRNlPTiLvtI0iGSVrp7m6TPq33Fro6qNrNDc0tzflrS/E72D6ADOOIGCoS7rzOz+bm3YD0u6d8lLVb7kfC17v6uma2T1GJmiyX9TNJdkn5uZhdIekbSpg9Q8veS7pU0Su1LHjJNDiTAsp4AAATCVDkAAIEwVQ5gr8xsmqR/3GXzf7j7f8miHwBMlQMAEApT5QAABEJwAwAQCMENAEAgBDcAAIEQ3AAABPL/ATE5G/VF+1jfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', y = 'tip', hue = 'sex', alpha = 0.6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(data = tips, x = 'total_bill', y = 'day', hue = 'time', alpha = 0.6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}