Machine Leaning Practice.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "tips = sns.load_dataset('tips')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 244 entries, 0 to 243\n",
      "Data columns (total 7 columns):\n",
      " #   Column      Non-Null Count  Dtype   \n",
      "---  ------      --------------  -----   \n",
      " 0   total_bill  244 non-null    float64 \n",
      " 1   tip         244 non-null    float64 \n",
      " 2   sex         244 non-null    category\n",
      " 3   smoker      244 non-null    category\n",
      " 4   day         244 non-null    category\n",
      " 5   time        244 non-null    category\n",
      " 6   size        244 non-null    int64   \n",
      "dtypes: category(4), float64(2), int64(1)\n",
      "memory usage: 7.3 KB\n"
     ]
    }
   ],
   "source": [
    "tips.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "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",
       "  </tbody>\n",
       "</table>\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"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e4c81bbb50>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(tips['total_bill'], kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1e4cad6fac0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IMiiJyMNKqU0icgST03ZxlFItWW0ZERHlnVQjpa1Tvx8D8IWYxwXA32atRURElLcsg5JSqnvqj5cppTpjnxOR5VltFRER5aVU03d/CuDPADRNVYg1lQP4VbYbRkRE+SfV9N0PAfwHgP8N4Esxjw8qpc5ntVVEZEu6Uh5EuSbV9F0/gH5M7uhACdgZ5J5s/5u5/TNhGAr7Xu3B4VP9MBQQFODK+kqsW1bLn0XKWdwlfAa4C3Tuyfa/mRc/E13nh3G8Zwg7nz4ZPefW9c24bEEZGudzfRTlJtZTmgHuAp17sv1v5sXPRM/AKO7fezzunPfvPY6egdGsnZMo2xiUZoC7QOeebP+befEzMTw2kfScI2P2tqAh0hGD0gzkSl0feke2/81qypMff0FZ9n4mls4rTXrOhnnc+JVyF4PSDHAX6NmxUyrcqXLi5nH6hkex7ZYWy3+z2Z4vGAC2rm+OO/7W9c0IxvwPS3eOTNtwyfzpP4d/e0sLzo+Mel6CPZNr8ap0PEvW64mJDjOQK3V9dGQnIcCppIHE4yytnoOdt7WiMChx2XFOnK+7P4zvH+jE7dc2QQRQCvj+gU5c3TAXjfPL0p5jJm2I/TnsGQhjPKLwlceOoLPvoqfJN5lci1dJQ0xW0hdHSjOUC3V9dGQnIcCppIHE43T2XUTbQ+2orQjF/Zs5cb7aihAujIzhgadO4Jv7TuCBp07gwshYdHow3Tlm2gbz57C2IoS2h9rR2XdxxtfglEyuxaukISYr6YsjJXJVqoQAs8yDndc4dS6nzmdO6SZ+8zanB9OdY7ZtcOozc0ImbfGq3Tp9XmmJzLgExeL6JQ43JvsYlMhVdkqFO1VO3O5xnDhfuinddOeYbRt0KsGeSVu8ardOn1daCfWUdn36GqQrzprLOH1HrrKTJOJUIond4zh1vlRTuunOMds26JR8k0lbvGq3Tp8XxUtbDl0HLIfuL3ZKhTtVTtzucdwoX57uHLNtg04l2DNpi1ft9vjzsl8OXUT5cKRkef0MSkRE7mNQssB7SkQ0Y9yYmJzGoES+xk4ze7jWh7KBQYl8K587TTeCsdVan+Vb1uqXVk05g9l35Fv5ukDSDMY37tiPj3/7Wdy4Yz/2HD3j+DY63JiYsoFBiXwrXztNt4IxNyambGBQIt/K107TrWDMtT6UDbynRL6Vbusfv3JrtwJuTEzZwKBEvpWvnaabwdjcxYKJDeQUBiXyNV07zWxmx+VrMCZ/YFAicpkbqeq6BmOidJjoQOSyfE1VJ7KDIyUil+VULR/yXmI9pUABRGY+ol5cvwSn3+xyoGHZwaBE5LKcquVD3kuopzRbMy0Y6BZO31FeMAyFk71DOPD6OZzsHXJ8d4NMcH0PkTWOlCjK681LnT5/7PEmIgr3PHYEnX0XPd8Dj9lxRNYYlAiA95uXOn3+ZMfbsq4ZDz3Tie7+sOcbhzI7jig5Tt8RAO8zwpw+f7Lj7dh3HDevro/+3e974BHlIgYlAuD95qVOn9/qeGbSktOJBTrdsyLKZZy+IwDZywize5/I6fNbHU8p5xMLvJ76JPITjpQIQHYywjKp6+P0+ZMdb9stLfjgsvl4YstaRwOG11OfRH7CkRIByE5GWCaVSZ0+v5sZblwMS+QcBiWKspsRZndKLlVn3VhdmvQYTmakuZXhxsWwRM5hUKKMZHL/xKqznlMQxBNHunH87CAebj+FCyNjOX0PJl/rNhFlgyjlTZaQiAQBtAM4rZTamOq1ra2tqr293Z2GUUone4dw44790wLNE0mm5JIFsK/edAW+se94dBGruXbowshY0mPkCnP0yMWwZJPtHw4RUU5vM+RVvx/D8vq9HCltBXAMQIWHbXCV2zsmzPR8hqHwxrlhdJ4fRmlRAWoritEwb/K9sVNyiypDuHl1PcpDQZwbGp12nsT7OnMKg7jv8aPY2FIXTc3e1d6Fm1fX44GnTqS9BzObz8/Oew1Doev8MHoGRjE8NoGl80pxyXx75/DDYlivd/QgAjwKSiJSD+B3AXwNwJ1etMFtbqcNz/R8yd63dX0zmmvLsG5ZbXRKrqqkCLetWYpd7V3Y3NqAT/7Tc0nPE9tZP9/Rh3XLF2LHvuNxuywEAunvwczm87PzXsNQ2PdqD473DOH+vcfzLrWbae2kC69Swv8BwBcBGGle5xtupw3P9HzJ3nf/3uM4fKofHX3D0fsnt7bWY8e+49jYUhcNMunOUxQMTHvtjn3HUT+3BNs3rUJAYLn4dDafn533dvQN4/Cp/mhAyvQcuY5p7aQL10dKIrIRwFml1Asi8oEUr2sD0AYADQ0N7jQui9xOG57p+azeZyhE37th5cJoAoMIbJ9nZCyS9LWlxUFElMKG+/dbfkufzedn5709A2EYyv61+A3T2vUS2/8BzpabWFy/xLFjZYMX03e/BeD3RORGACEAFSLyA6XUJ2JfpJTaCWAnMJno4H4zneV22vBMz2f1voAg+t5AQNBYXRq3MNXOeayOPa+0CJt3PpNyPdNsPj87762tCCEo9q/Fb5jWrpfY/s+pRAdNEhzScn36Tin1ZaVUvVKqEcDHAOxLDEh+5HYNnZmeL9n7tq5vRkt9Zdx7zdf97MXT2LKu2dZ5rNo0FjHS7ns3m8/Pznsbq0txZX0ltq63dy1+wxpPpAvPUsIBYGr67s/zJSXc7bThmZ7PzL7rOj+MkoTsu2THPz88isJgACNjkbRZW8na1NE3bCvNfDafn533xmbfjYxNoCGD7Ds/YFq7q1xPCddspGR5/Z4GJbv8EpT8JFXa+EyOxcwvyjMMSha4owNlLF3aeKaBJBv71HHNDVFuYlCiKLsduVXaeNt1TWiaP7MFpE4uPuXIiyh3sXQFAciszES6tHGv5cuaGxYWJD9iUCIAmXXkZvpwrMS0cS95XUXXDZl8iSDKJQxKBCCzjtxu2rhbYkcMr58dQmlxQdKgqUPAdEq+jAYp//CeEgHIbPGkmZiw7I61adPGsy3Z/aO7f2c5Pv+hy/H3//mab0tJcAcG8isGJQKQeU2gQEBwaU0ZLq3xtgNMNmL4+n+8gq3rm3H7tU0IBoD1y2twZd1cXyU5cAcG8isGJQKQPC27oaoEHX3D6BsexZzCIIZHI9GSDkvnlaDrwohlpl66TL7EdU4LK4sxEZlMlDBfDyBtNqDViGF4LIIHnjoBALjm0mpfBSQAaKgqwVdvugL3PPpSXK2qhqoSr5vmCqb8+xeDkk848Z80Ni3bnBbbtucY/vs1l2BkPBLdQXtp9Rzcsa45rkOMTblOl5Kd7Pl7P7wS//hfJ6LF/7ZvWoXS4gBe6HwbhgKCAlxZXzltHVTsiMGs7xQMAM015VhUGcKFkTFfjh66LozgG/uO4/ZrmyACKAV8Y99xrG6o8v30HVP+/Y07OvhANv6TmhVmzSmwnU+fjI5IPvPBy/DdX56cNnVkbguUrjqt1fO3X9sUHd2ECgP4+02r8PmEBbq/c8VCNM6P33rIDJ6bWxviajXNZkGv7g68fg4f//az0x7/cdv7sKZpvgctck8m1Y81xh0dLHCk5ANWmVjLZ/Gf1JwWE8G0kg7pylWkuwlv9bxI/N+PnRmYtkB3dUNVXFAypx3r5oam7TR+/97j+Pc71qYtapiL00D5fE8p75I8RJwpXREogIi7P9uL65fg9JtdGb2HQUljdjtMp/+TGoZCSVEQW9Zfhuaacpw4O5i0A7TqENN1mFbPx36JCxUGEEkoARkeNzAyNjGtvYGAWNZq6h0KWyZj5PI0UKaJKX6SdwFZKTgxUvLCTIIp1ylpKpPFkVaLWWfyn9Q87+adz2DH3hP4u5+/gsbq0riSDj978TS+etMVlmUO0pVBaKgqwbZbWuKev/fDK/H44dPRv2+7pSX699hrapiXvNOdyWeQy2t9zBHiE1vW4sdt78MTW9bmRDB1Asts+BtHSprKZErOyW/Nieft7LuIf9j7Gu7ffDVWN1RFSzosnVeC1Q1VSTdQTbXBqmEo/PxYD7Y/+Wr0ftXVDVW4dEEJ3tv4XvQOvZP5VxgMTLumS+ZPXlPiKLKhqiTjzyDXp4Gc3C8wl2RjA1/SB4OSpjLpMJ38T5rsvJ19FxGeiEy7gZ6qQ7TqMGODXmxSwxNb1k5b95QqsCWbdrthRS2eyOAzyLtpIB/J14CcDzh9p6lMp6PM/6RrmuajaUHZjL81pjtv7JY+HeeG8PrZzDYEzWQ7I/Oa3ttYDQB49o0+nOwdQtf55KPIrgsjGX0GnAYi0g9HSppy+ka23aSJhqoS7LytFe2d52GoyftHd21Ygcbq0rgRSlVJET75/qXRtUt2kwQyHZ0kGxV9/aNXoqqkCN397wSymUy7cRqISD8MSppyssO0m2Vm3u+Jfd22W1pww4rJdT4ne4eiz928uj4akID0aeixQfHbt7XinseOxC2UtQq2ye6t3f3IEbRd14Qde09EXzfTaTdOAxHphUFJY051mKmSJhqrS6PBoqQoOO11d+0+jCvrKqetL0q3VslkGApd54dxsOtt3P3IkbhgVzc3hHmlxSmDrdV03+W15dERV65Ou+XqGimibGJQygNWHfv54VG8cmYwGoi2rL8sZaBJnHpLNw1njtBOnR/G0FgEf7y2CQCw+4VTuGv3YVsr8K2m+1YsrMgoqSGViQkDR7v70d0fxqLKOVi5qAIFBdm93ZrLa6SIsomJDnnAKnkhNuUamNy5IVWSQ2xiwO4XTsWtXUo2WunoG8a2PcdQGirEzqdP4pv7TuA7+0/itjVLUVVSZKvonlUywiXzSx1J7JiYMPDoi6exeecz+JMfHMTmnQfw6IunMTFhpH9zEnarwaZaI8WKspTPOFLyIbtreBJ3Qdj9wilsWdcct3/ctlta0Dc8CmAyQGxYuRDv2roWPQOjGItEsOt/rMHIeCTp9FPPQBgbW+pw3+Mvx3W+O/YdR9t1TbbuAWU7GeFod390Y1mzffc8+hKaa8pw1ZKqjI6VyejH7uiVIyjKNwxKPpPJGp6OvuG4qbHu/jB2tXdhV9sajIxFMB5R+EpCQsINK2rxcvf0TvN9l0wvD1FbEUIwkPze0+W15bbvAWUzGaG7P3lwONMfxlVLMjtWJgueraYlE0evTuxjSJRLGJR8xpwyM0saAMC2PcewrLYcIkAwIBgMj+PFUxegFLB90yoACsFAAJ3nhrBiUSVWLqpE14UR/NH3nsPGljqIAGXFQXT2DeOp187i1TMD0ZRss9NcePv7UBAUDI9FUFM+GYzO9IfxW5fOx2OHTqOz72JcaYklVSXTaipZVa/NZkLAoso5SYPDwsr4e2OJ5zc/69jHMlnwbJXyb7WHnxu7TCQbYaeqmZXqvUzaoJliUPKZvuHRaSUctqxrxuvnhvC1f38Zm1sbsO+VM/j9dzfgL392NK7MQ0lhEPc8dgR3bViBRZXF0eMkW5O0ZV0zHnqmE939YVSVFOGVnkH89dQ0nXm87x/oxIWRMdy7cSV2H+zCuuULo+3a+fRJfPWmK/CNfcejI7FkpSaynRCwclFF0mJ5KxdVpjx/UYHgsz/8Tdxjy2IyAk3pSsonTksmjl5THcNJideZrmZWqvdyypFmg4kOPlMUDEQ7fuCdezhj4wY2ttRhx77j+OQ1TdGAZL7m/r3H0Tcyho0tdbjz4UOIGIgeJ9mapB37juPm1fUAgFtb66MBKfZ4N6+uR3jcwF89fhR3rL98WrvuefQlbGypi3vP4VP9cRuiZnvT1IKCAG66qg672tbgW59YjV1ta3DTVXXR7Dur8x8+1T/tsWAAGe0QkWwXDq92mUi8zo0tddPutVl97rm8sS3phyMln7Ga/jl5bji6tuji6ETS1xjqnfVH54ZG065JEpnsNJdUlVg+b/75zNv2aigZCnFTVXamxGY7dVRQEMBVS6qS3kOyOn9iQlx43MCZgfCskzK82mUi8TrtrkNL9t5Ur6UZcKqekgcW12d4YxYMSr5jdQN9wnhnbVFJcUHS1wQEiBiTf15UmX5N0rLactx+bRP6hkZT1kdKdc7EGkoBARZWhHCyd2hqQW8BllbPQWffxbjXxe7Fl82pI6vPM/HQZpucSMrwYpcJq+u0M43IjW2zLMv1lDSrSMvpO7+xmv5pqa/Ez148jS3rmvHgr0/iLz+8Mu41W9c3o7qkCI8fPo3tm1Zh5aLKlGuStq5vxtefOIbv/vIk5hQGcef1l097/qcHT0XvPz3465PTajB99aYr4moobV3fjHcvnYuXuwejdaQ27zyAO9Y1Y2n1nLjriU02yObUUarP008buSZeZ7qaWane64fPg7wjOkVIK62traq9vd3rZuQMczordvoHmOzAzw+PojAYgKEUDAWcGxxDWSiIylAhwhORuG1/Yo+zsCKEiAH0DoWxoGwyu667P4ySwiAGR8cxp7AAhQnZd939k1sXjUcMzC8rhlLA2cHRuJpMnedH0HV+GCVT2XcRA/jdb+yf9q17V9saXByPTJvOOvD6OXz8289O+wx+3Pa+aaU2svF5+mkj18TrNLPv7Fxjss8o1z+PLLP94YiI8uFIyfL6OX3nQ1bTP5lOCSU7Tmy9o8b5qY9lPm81xXbJ/NJpNZQOvH4u6f2Ji+PT6zkB7kwdOfV56i7Zddq9Rm5sS07h9F2Oy4UtaTKZYsu0jhSnjoj8hSOlHGaOQLbtOYaNLXUIBoD3LJ2H9zdVO7qh6Gw3LLXKzuoZsL+oNFVaNWsiEfkHg1IOM3dvSFwsu+2WFny4ZbEjHbO5YWni4tLYtTzplBQlz7wrKQpOe+1Mggynjoj8g9N3Oczc8DRxUepduw87ln1mtWHp0e5+28cYi0SwZV189t6Wdc0YjyTfidup0u5ElHs4UsphqTY8dWrhotWGpaffvogr6+baChjVpcXY1d4V3Y9PKWBXexc2XLFw1u0jIn9hUPLYbHYjaKwuxXuWzks6NbagzJnsM6sNSw0D2HP0jK1Fqo3Vpbhrwwrb94mIKH8xKHlotrsRBAKC9zdV429vacEXdx+O2wz1jb4hXDJ/9jf8k21Yeu/Gldj59Ot47eyQrZIKfkhG4C7YRO5gUPJQJvV3TMk6x5b6SrRd1wRDTU6Nmbtz2yk3no65YWlDVQne6BvGnKICfOfp13H49AAA2J4mzFYyghvBgrtgE7mHQclDqTayNMsYJNbwMTvHqpIi3Npaj8tqyrC4cg6KggGEJ+I3Qe3sG0ZHX+paRbFS1TcanTBw778dnTaNN6cwiAOvn/Nk9OBWsJjJlwdyBkeo+YdByUNWuxEsrAgl7WyX1ZZHA9Jta5bG1Tr65lMn4mod7Wrvwm/efBs79p6wrFUUK1kHb77nsgVluOexI9NKpX/to1diy49/E1eZ1s3Rg1vBgrtge4Mj1PzElHAPWe1GEDGQtLPtPD8crW+UrtbRlzaswL+2n4o+lqxWUaxkHbz5nrODo+jsu4iHnunE7dc24bPrLpvcHXwwHN29O5ONUJ3ahSJVsHBSprtMkDNYpyk/caTkIasEgGff6Eva2ZZOlX+IrXVjVffm+NkhdPeH4x5LrFUUK1XdoP6L4wgVBtDdH8YDT50AMNkp335t07TXpxs9OPnt162SCZnuMkHO4Ah1SrbrKQUKIOLOyHNx/RKcfrMr5WsYlDyWLAHAqrOtLS/GtltacLJ3KG2tI7N+UuxjAYFlh52qblBFqHBap7ztlhZsf/LVaedIFxCcnHJzK1j4IXswF7FO05Qs11Nyk53gyqCkIavOtmFeKernluD5zvOoqQjhvsdfjtY6MqfwzNcWFUj0P3Ts/SGrDruxujRpanlpURC1FcV4T+M8LN+ydqrwXhCGUrjz+mW4K+b1dgKCk99+3QwW3MrIfRyh5ifWU9KUmXVk1j8aGYvEZeF1nR9Gz8BkbaLG6lIYarLWUWy9nzfODcfVKkqXfTcxYeC5zj70DY2jtCiICUOhuFCw9rKaaH2l2Km3pdVzcN9HrsScogCKEtpodZ6TvUO4ccf0eklOpK+T//i4TpM29ZTcFFO7ifWUck0gIGisLsUrZwaT3n9pnF82rZ5RbF0i8++Jj6U759sjE/jCT16MO58pceqts+8ivvLYkaQjJqt7RPz2S5ngCDX/MPtOY25lH5nZcM93nE95vmRTbxtb6qIByU4bAwHBDStqsattDf7xE6uxq+39uGFF8jR1Iso/DEoaS3X/xam06okJAz87/BZu3LEf+08kr/pqplgnS41OtSFsMoah8PNjPdi88xn8yQ8OYvPOA/j5sR4tixMSkfsYlDSWGAQWVYawZf1luDgWwa9OnMMffe85fPzbz+LGHfux5+iZlB17siBmGAq/PtkXN9JJtR4n2boqc0NYq/ckmsnoLxeq6xKRM3hPSWOx91/MnRtis+y2rGvGQ890ors/nDKt2mpt0LsWlaO983w0QOx+4dS0XRti7/cky3ZrqCrJ6B5Rptl3XNVPlF8YlDQWGwR6B0fxqX9+btrODbdf24QHprYYsurYrUYnD/7Re2God9Y5dfeH8dAznWi7rglXL5mLpdWl07Kdkt14ziQtO9O1J9x3jii/cPpOc2YQMJRKOsIwF2Kn6titRicjYxP42Yun46rCXhgZw6ULyvDbl9fYrvqaSaVYq62VZjKyIiL/4UgpR1iNMJRK37FbvTcYCOArG9+F+x5/Gbdf24RgAGhdOg/XNFVnbWos0wWvOq3q547VRNnHxbM5Itm9lW23tKBubgjzSotTdpCGofCzw2/FrSX68oblGBmPYFltOeaXF2N8wkB/eBxL55U6UhzQKXbvKWU7YPDeFjmMi2ctuB6URGQJgO8DWAjAALBTKXV/qvfoGpTSdYSpnjefO9MfRnFBAIOjYygvLoIBherSYjRUlaDrwkjcew1D4Wh3P7r7w1hUGUJBQHBuaBRzigrQOziK2opiFBUEcKZ/FCVFQZQXFyCiVHQj1rLiAnT0DWN4NIKACP7+P1+LdrBfvekK1JYXYyA8geqyIkxEDCyqLJkWoDLp/GNfW1MeQjAAdPdnFjTiajwVF6C2PH5nCvP5Y90DOH52EA+3n8KFkTF8/aNXYnXD3LS7WNj997S7E0XsMUqKCjAWiaA6zZcGyksMSha8mL6bAPA/lVIHRaQcwAsi8qRS6mUP2jJj6b45p3oewLTnzBpIm1sbsKu9C5/5YDMeeOp4tFbRN//gaoyMRvDF3YejmXg/fn7y9bHZclvXN0crz955/eVYUFaMLz9yJK6UeWHQwN/9/LW45IF7Hn0Jbdc1ResvbVnXjP/16Eu4a8MKW9eU2OFa1Wcy22ZnlGF1voZ5pZbPmxmJdz9yBG3XNWH5wgpbo5l012Yna9CqPbvau+I+RyKy5nqig1KqWyl1cOrPgwCOAahzux2zlWq9jWEoHDn9Nl45M4A/XtuERZWhuOeTvXfHvuPY2FIX/f0vHnsJG1vqos8fPtUf3SzVrKFkvj6xBtLNq+sRHjew/cnX8EbfcNzzf/X4UdRWzLEsU5HYntg1RJmsMbKqz2S2zc7OFOnOZ/U5mucwFGzvgJHuXHZqKqX6d2UdICJ7PE10EJFGAFcDeDbJc20A2gCgoaHB3YbZYPXN+fzw6LT96mLXE50dDEOp5LsgmLWRYn83GTHvSXxdsuOYf05cZxoeN1ARKrBMmkjWHnM0kMkaI6vXxrYt3c7g6c6X6hzm9djdgTzduezs2ZeqPXbbQQTE93+AvZIPuWBx/ZK0r/EsKIlIGYDdAD6nlBpIfF4ptRPATmDynpLLzUvLKiusMBhI+m359mub8N1fnox+s06VSRf7uyko8e+JTam2Ci5mPaRYocIAwhPGtEWy5tRasvaYbc4kEy5VtmCq99k5Rrr2BATRLwJ2M/XSnctO1mC6DMm8qwNEMxbb/7l5Tynmno9nPFmnJCKFmAxI/6KU+qkXbZgtq/U2I2ORpN+WgwFEv1kne++Wdc14/PDp6O/3blyJxw+fjj5fXVqEz3/ocoQKA9EaSolrjMzg8tODpxAqDODO6y/HJdWlcc/f++GVeGDf8Whp87tvXI5v3fZulBYFcWFkbFp7YkcDmawxSvba2LbZ2Rk83fmSPX/fR65AWVEQDz3zzr0rOzuQ27m2dOuxUv27cid0Inu8yL4TAA8COK+U+pyd9+iefRf7zbmjbzhpltautjW4sm5uNGFg36s9OHyqHyVFBXjXonKMThioKinChYtjOHKqH7945Sw+sLwGl9eWY3ltOTrOD+O+x1/Gre9egpryYiyZNwfFBUEMjY4jVDiVfVdejKLCd7LvyooLoKAQMYDzw2OoLS/G2+ExfPqhg3FTUB9aVoPXegdxYWQc4bEI5pYUYnQikjL7zs4ao9jXLiibzL47M5BZXZx050t83sxanEn9HSdq98Rn3wUxHjHSpuxTXtIy+87FkZJWKeHXAtgP4AgmU8IB4G6l1BNW79E1KCVjJ0MtVXqxGdgSO0bDUOg6P4yDXW/j7phsukzXyvi4aBpRLmFQsuD6PSWl1C+RwT9IrrFz78HOTXXzdQDeCUwK0YBkvifTfeBmWzSNuxoQUTZxm6EsSNfxmyUozMy43S9MLvhcUBZKOdLKdIdtp3FXAyLKNgYllxmGwsvdg9j59Mm4zLeaimL0DoahlLLcFTtVhpgbIxju2E1E2cZdwl1mtai0++0w/vB7z+PlMwOWoyGrDLGGqhLsOXoGN+7Yb6vo30yL5nHHbiLKNo6UXJasY68qKcLS6lL88domBESwtHoOOvsuRp9fWj0HcwqDePaNPiyrLceerWvjstgyGcHMZgpOpx27icifGJRcltixL6oM4ZPvX4ov/OTFaJD4649cEd33bmn1HNyxrhmbdz5jGUR6BsKoKinCzavrozsm7H7hVNJ7TbOZgrOzqwER0WwwKLkssWO/tbU+WuIcmAwSf/HYS9jVtgYXxyOYUxiMBiTz+cQgYga22FLpW9c3Y2HF9BGM1RRcz0D6ZIlMayEREWWKQckDRQWCtuuaYCigbm7yzVEvjkewpmk+Drx+Lm3GXcTAtMB2/97juOFdC6ed22oKbjyiYBgqbYCZbUo5EVEqDEoOi6v/U1SA2or4+j8dfcP47A9/Ew0Kn113WdIgMacgiOc7+lAYDETTx3e/cArd/WGECgMQCE72DqGxuhRnB5OPfnqHwri0Jj54NFaXYtstLbhrqgTGra31WFJVgpff6kfDvDlonD/zYJNra5hyrb1E+YBByUFWNYSaa8uwblktgMmgFBtAdr9wCp//0OX44XOd2NhSh2AAuKp+Lh74xWtYtaQ6btNUszbPx97TgM/tOhTd221ZbbntBIRAQLB4bghb1zejYk4h7nv85ejxaypCGRXFS3ftOq9hyrX2EuULpoTPgpla/XxHH1588wL+67WzePXMAKpKigC8M412+FQ/3jg3jD1Hz+DFN9+Oq8vT3R9GaVEAbdddiu/+8iR27D2Bz/zwIH572ULsau+attv4F25Yju8fmCyDYd5fMjd7tbNRKgBUlxbj4ngkGpDM49/9yJEZ1/zJpNaSDnKtvUT5giOlGTK/aW/bc2xa9dfY+klmTaOu85OdYFVJ0bSyEQ3VpWh76IW4DvK+x1/G7dc24YGnTkTPGR438ErPILr7w3GPnRkIZ5SA0Fhdistryh3dHcLr3SYylWvtpTwm4lo9JTv1jrKNQWmGzG/at1/bNK36q1k/6YGnTkTr+5QUFSA8bqC7PxwtGyECrL1sPoZHJyzLXcSyqo9UUx7KKAEhEBCsWFTh2Jojw1AoKQomvfel6xomrrminKEUZrMhqw41kjLB6bsZMr9pp6r+at5TaqmvRG1FcXR6rbs/jAeeOoHv7D+JBeXFWBpT88gUKgxg+cKKuCm5O6+/HNUlRban6VK5ZL792kipmCPGzTufwY69k9d025qlWFo9R+s1TJnUhiIi93CkNEPmN20gefXX9zfNw9rL5kez74DJ+z7b9hyLJjS8Z+k8NFSVIBCQaYtSt93SgsWVxdjVtgYjYxHUlE/WIzo3NBp9bDYZY06tOUp2b2bHvuNx9aN0xDVXRHpiUJoh85v2tj3Hpt0j2r5pFd7fNH9aB3fDilqMRwzctfvwtIwvux3kbFK2Ezmx5sjq3szF8Yj2HTzXXBHph0FphqLftBeW4/xw/Oiloaok6fqXrgsj0YC0qDKEm1fX45UzA6ivmoOKUEFOrpfhvRkichKD0iwk+6Ztpx7SosoQbluzNDq62vn0SWxd34zvH+iMrj3KlfUy3A+PiJzERAeHpVr/Yo4qbl5dPy1j7/69x3Hz6vqcWy9jjhif2LIWP257H57YsjZnAqqOZlpWhMgvOFJyWKr1L+9trMb2TavwikXNJHOH71xbL8N7M87gLhNEHCk5LjYrzxS7lmjDyoVYv7w26WvMpQR278nwW7W/cJcJIgYlx6Vb/xIICK6sq5z2mq3rm/HTg6ds35Mxv1XbrTZL+mNlXyJO3znOzvqXxNcsKJtcg3R1w1zb62VmU6yP9MRMRiIGpaywc48l2WsyWYPkxt5tLO3gLmYyEvk0KM22M7Xzfi87bDf2muNNd/dxlwkiHwal2Xamdt7vZYed7NxmnaW7Nqxw7Fs1pwe9wUxGyne+S3SYbQaTnfd7mSVltdfcjo9d7WhQ5E13IvKC70ZKs73XYuf9XtbicWuvOd50J9JDYWHhrOop6VAjKRO+GymlWifk1Ptne47ZcOvcLO1ApIeWlhYopWb86/SbXV5fQkZ8F5Rm25naeb+XHbZb5+b2QUTkBcmFioStra2qvb3d9uvNzLiZZjDZef9szzEbXp6biBxh+z9spv1fjrC8ft/dUwJmn8E003VGbmGGFhH5le+m74iIKHcxKBERkTYYlIiISBsMSkREpA0GJSIi0gaDEhERaYNBiYiItMGgRERE2mBQIiIibeTENkMi0gug0+t2ZMl8AOe8boRLeK3+xGvN3Dml1AY7LxSRPXZf6wc5EZT8TETalVKtXrfDDbxWf+K1kpM4fUdERNpgUCIiIm0wKHlvp9cNcBGv1Z94reQY3lMiIiJtcKRERETaYFAiIiJtMCi5SET+SUTOishLMY/NE5EnReT41O9VXrbRCSKyRESeEpFjInJURLZOPe7Haw2JyHMi8uLUtf7V1OO+u1aTiARF5Dci8vjU3315rSLSISJHROSQiLRPPebLa9UJg5K7vgcgcRHclwDsVUo1A9g79fdcNwHgfyqlVgBYA+AzIvIu+PNaRwGsU0pdBWAVgA0isgb+vFbTVgDHYv7u52v9oFJqVczaJD9fqxYYlFyklHoawPmEhz8C4MGpPz8I4CY325QNSqlupdTBqT8PYrIDq4M/r1UppYam/lo49UvBh9cKACJSD+B3AXwn5mFfXquFfLpWTzAoea9WKdUNTHbmAGo8bo+jRKQRwNUAnoVPr3VqOusQgLMAnlRK+fZaAfwDgC8CMGIe8+u1KgA/F5EXRKRt6jG/Xqs2CrxuAPmXiJQB2A3gc0qpARHxuklZoZSKAFglInMBPCIiV3jcpKwQkY0AziqlXhCRD3jcHDf8llLqLRGpAfCkiLzidYPyAUdK3usRkUUAMPX7WY/b4wgRKcRkQPoXpdRPpx725bWalFJvA/gFJu8b+vFafwvA74lIB4AfA1gnIj+AP68VSqm3pn4/C+ARAO+FT69VJwxK3vs3AJ+a+vOnADzmYVscIZNDou8COKaU2h7zlB+vdcHUCAkiMgfAhwC8Ah9eq1Lqy0qpeqVUI4CPAdinlPoEfHitIlIqIuXmnwHcAOAl+PBadcMdHVwkIj8C8AFMbn/fA+BeAI8CeBhAA4AuALcqpRKTIXKKiFwLYD+AI3jn3sPdmLyv5LdrbcHkDe8gJr/kPayU+msRqYbPrjXW1PTdnyulNvrxWkWkCZOjI2DyNscPlVJf8+O16oZBiYiItMHpOyIi0gaDEhERaYNBiYiItMGgRERE2mBQIiIibTAoERGRNhiUKGeJyFwR+bM0r2kUkT+wcazG2JIiSZ7/QxH5psVzv048hoh8wCztQET2MShRLpsLIGVQAtAIIG1Qmg2l1DXZPD5RPmFQolz2NwAunSrC9n+mfr00VZhtc8xr1k695vNTo5n9InJw6lcmAWWJiOwRkVdF5F7zQREZSvUmIrKPu4RTLvsSgCuUUqtE5BYAfwLgKkxu4/S8iDw99Zo/V0ptBAARKQFwvVIqLCLNAH4EoDX54ad5L4ArAIxMHf/flVLtzl4SUX5jUCK/uBbAj6bKSPSIyH8BeA+AgYTXFQL4poisAhABcHkG53hSKdUHACLy06lzMigROYhBifzCbrGmz2NyM9yrMDl9Hc7gHIkbRXLjSCKH8Z4S5bJBAOVTf34awOapKrALAFwH4LmE1wBAJYBupZQB4DZM7u5t1/UiMm+qRMVNAH41y/YTUQKOlChnKaX6RORXU2nY/wHgMIAXMTmC+aJS6oyI9AGYEJEXAXwPwP8FsFtEbgXwFIDhDE75SwAPAbgMk6UMOHVH5DCWriAiIm1w+o6IiLTB6TuiGCLy3wBsS3j4DaXUR71oD1G+4fQdERFpg9N3RESkDQYlIiLSBoMSERFpg0GJiIi08f8BVSKvp6oMUIEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='total_bill', y='tip', data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1e4cc137280>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 592x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(tips, hue='smoker')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e4ccaf2ee0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(tips['total_bill'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.rugplot(tips['total_bill'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "normal_dist = np.random.randn(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.47253842,  0.26214598, -1.24358965,  2.20560721,  0.88182372,\n",
       "       -0.34937231, -0.26329937,  1.77743157, -0.22744189, -0.76316019,\n",
       "        0.23136153, -0.22734336, -1.51173613,  0.57162442,  0.01914573,\n",
       "        1.15685859, -0.23856194,  0.82068306, -0.35448319,  1.18869803,\n",
       "        0.15630274, -0.3041668 , -0.12017814, -0.65203013, -0.10460794,\n",
       "       -0.01798233, -0.05670086, -0.25605653,  0.5049417 ,  0.47774074,\n",
       "        0.48721413,  0.37109401,  1.25604943,  1.76228946, -0.09620818,\n",
       "       -0.24913242, -0.80188832,  0.06419459,  0.9096658 ,  0.02617734,\n",
       "        0.26174681, -0.14825159,  0.90568134, -0.02616754, -1.30864932,\n",
       "       -0.14714521, -0.66175604,  0.1202026 , -0.33916619, -0.43250272])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normal_dist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.rugplot(normal_dist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e4ce313040>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YcB8vm9n/ApYDx09MdM6dvJcDfZ67e4Cnrupn3kpgSZ/HK4AVQ8wmEeCcY9XOWi6eOjZqLrx5Ji46awxFo9N4Zt0hbphb6DuOxKmhrgHfS++Qw2+A9cHbunCFkuizu6aZioY2rpoZm3s/nCwQMG5bUMzqvfU6QY94M6QCds5N7uc2JdzhJHq8vbP3T/UrRkgBA9y2oBjn4Ln1OjJO/BjSEISZfbm/6c65X4Y2jkSrVTtqOadoFAVRfu7f01GSm85FZ43h2fWHeOCKqQQCsbtnh8SmoQ5BnN/ndgnw18CNYcokUeZISwcbDh7lyhG09nvCHaUlHDrSxkf7dOl6ibwhrQE75/6472MzGwX8R1gSSdR5d3ctPS52j34bzOI548h6MZFn15dz0dSxvuNInBnu6ShbgWmhDCLR6+0dteRlpTCncOQdNZaalMCNcwtZsaWKxvZO33Ekzgz1dJQvm9lLwdurwC76P4hCRpjO7h7e3V3HlTPyR+wY6R2lJRzv6uHlTTrgUiJrqPsB/98+97uAA845bTqOA+v2H6WpvYsrR+DwwwnnFo9iRkEWz6wr555FE33HkTgy1N3Q3gV20nsmtBxAJ1ONE6t21pCcEOBzI3h81My4vbSYTYca2FXd5DuOxJGhDkHcAawFbgfuANaY2XBORykx5u2dtVxw1hgyUob6x1Jsunl+EYkB41mdoEciaKgb4b4NnO+cu9c592V6T5r+nfDFkmiwv76FfXUtXDkjz3eUsBuTmcLVswpYvrGCjq4e33EkTgy1gAPOub6njjx8Gq+VGLVqZ+8/+ZUzY/vsZ0N1x/nFHG7p+O33LRJuQy3R183sDTP7ipl9BXgVnSxnxFu1s5Zp+ZlMGJPuO0pEXDotj/ysFA1DSMSc6ppwU83sYufcnwH/DpwLzKX3NJPLIpBPPGlq72TNp4dH9N4PJ0tMCHDrgmLe2VVLTWO77zgSB061BvwvQBOAc+5559xDzrlv0Lv2+y/hjSY+rd5TT2e346o4GX444fYFxfQ4eH6DLtop4XeqAp7knNt88kTn3DpgUlgSSVR4e2cto9KSOG/CaN9RImpKXibnT8rh2fW6aKeE36kKeLBTX6WFMohEj54exzs7a7l8Rh6JCfG3rfX2BSXsq2thw8GjvqPICHeq366Pzex/njwxeHmhQS9JJLFrU3kDh1s6RuTZz4ZiybnjSU9O4JmPdbCnhNep9q7/OrDczO7hvwu3FEgGbg5jLvFo1c5aEgLGZdNH/v6//clMSeQL54znlc2VfPeG2SP+IBTxZ9A1YOdcjXPuIuB7wP7g7XvOuQudc9Xhjyc+vL2jlgUTcxidnuw7ijd3nF9CS0c3K7ZU+Y4iI9hQzwXxjnPuh8HbqnCHEn+qj7WzvapxxFz7bbhKJ+YweWwGz2ifYAmj+NvCIoP676Pf4ruAzYw7zy/h4/1H2VOjE/RIeKiA5Xes2llDSW4aU/MzfUfx7rYFxSQlGE+uPeg7ioxQKmD5rfbOblbvreeqmQWYjcyTr5+OsZkpXHv2OJ5bX057Z7fvODICqYDltz785DDtnT1xP/zQ1z2LJtLY3sUrm7UxTkJPBSy/9fbOGtKTE1g0Jdd3lKhxwZRcpuRl8OSaA76jyAikAhYAnHOs2lHLJdPGkpKY4DtO1DAzvrhwAhsONrCjqtF3HBlhVMACwM7qJiqPtcfdyXeG4rYFxSQnBnhyjTbGSWipgONMyYSJmNlnbhfc8j8AuPuKc/t9/kxu3lggJPlzMlI4UvYWv3h3O4Hk1FPOXzJBF/aUodExlnGm/NBBHl656zPTn1l3iB7neHD5mpAv86FrZoT8PYfE9fT7vQ5HZUMbz64v56s/eZ85haMGndfb9ysxR2vAQmtHF1XH2pk8JsN3lKg1flQqYzKS2VJ+TKeplJBRAQsHDrcCMHmsCnggZsY5xaOobTpOta6WISGiAhY+rW8hIyWBvKwU31Gi2qxx2SQnBig71OA7iowQES9gM5thZmV9bo1m9vWT5rnczI71mee7kc4ZL7p7HAcOtzJpTIaOfjuF5MQAZxdms7e2meb2Lt9xZASI+EY459wuYB6AmSUAFcDyfmZ93zl3fQSjxaXKhjY6uns0/DBEc4tHU3awgc0VDVx01ljfcSTG+R6CuAr4xDmnw4w8+fRwCwkBoyQnPi49f6ZGpSUxJS+DLRXH6Oru8R1HYpzvAr4LeGqA5y40s01m9pqZnT3QG5jZfWa2zszW1dXVhSflCPZpfQvFOWkkJ/r+UYgdc4tH097Zwy6dplLOkLffOjNLBm4Enu3n6Q3AROfcXOCHwAsDvY9zbplzrtQ5V5qXF5+X0Bmuo60dNLR2avez01Sck8bYzGTKDjVolzQ5Iz5Xe64DNjjnak5+wjnX6JxrDt5fASSZmQbcQuzT+hZAu5+dLjNjbslo6ps7qGho8x1HYpjPAr6bAYYfzGycBTfJm9lCenMejmC2uPBpfQtjMpLJTkvyHSXmzCzIIjVJu6TJmfFSwGaWDnweeL7PtPvN7P7gw9uArWa2CfhX4C6nv/VC6nhXN5UNbVr7HabEhADnFI3ik7oWjrZ2+I4jMcrLuSCcc63AmJOm/bjP/UeARyKdK54cPNxKj9Pww5mYWzyaDQcb2HDgKFfN0lnk5PRp03ec2lffQmpSgHHZqb6jxKyMlERmjc9iR3UTLcd1YIacPhVwHOrpceyvb2HymAwCAR39diYWTMihp8dpLFiGRQUch6qOtdPe1cPkPA0/nKnR6clMzc9kc8Uxjnfpwp1yelTAcWhffTMJZkzMVQGHwoKJOXR09bC1QpcsktOjAo5D+3T0W0gVZKdSkpvG+gNH6dThyXIa9BsYZxJzi3qPftPwQ0gtmjSGts5utlQc8x1FYogKOM6kT10EaPezUCvKSaM4p3ct2BKTfceRGKECjjNpUxeRl5lCdqqOfgu1RZNzae3oJnPuYt9RJEaogOPIkZYOUopmavghTIpz0ikanUb2oltp79QeEXJqKuA48s7OWiyQwBQNP4TNBVNyScwaw39+pFNcy6mpgOPIWztq6Go6TL6u/RY2xTnptO3fyI/e2UtTe6fvOBLlVMBxor2zm3d319G2d62u/RZmDe/+gqOtnfzkvX2+o0iUUwHHiY/2Haa1o5u2vWt8RxnxOqr38oVzxvPY6k+pazruO45EMRVwnFi5vYb05ATaD272HSUufPOa6Rzv6uFH7+z1HUWimAo4DnT3OFZuq+aKGfm4Lp27NhKm5GVyR2kJT6w58Nsrj4icTAUcBz7ef4T65g4WzxnnO0pc+cbnp5GSmMD3X93uO4pEKRVwHHh9azXJiQGumJnvO0pcyc9K5Y+umMpbO2p5f4+u2C2fpQIe4Xp6HK9vreay6Xlkpni5AEpc+/3PTWJCbjp/+8p2unSiHjmJCniEKytvoLqxnes0/OBFSmIC/3vJLHbXNPPk2oO+40iUUQGPcK9vrSYpwXTNMo+uPbuAi84aw/99Y5d2S5PfoQIewZxzvLa1iovOGssoXXreGzPjb5bOoa2zWxvk5HeogEewbZWNHDrSpuGHKDA1P5M/vOwsXiirZPWeet9xJEqogEew17dWEzD4/GwNP0SD/3XFVCaOSec7L27V2dIEUAGPWM45Vmyt4oIpYxiTqZPvRIPUpAT+7qY5fFrfwiOrdIScqIBHrD21zeyra9HwQ5S5ZFoety0o5tF3P2FzeYPvOOKZCniEWrGlCjO49mwVcLT5zvWzyctM4U+f3aRL2cc5FfAI5JzjpU2VLJyUS352qu84cpJRaUn8n1vPYXdNMz94a4/vOOKRCngE2lbZyL66Fm6cV+g7igzgihn53FFazI/f/YT1B474jiOeqIBHoJc3VZIYMJbMGe87igziO9fPpignjQd/VUajrp4Rl1TAI0xPT+/ww6XT88jJ0OXRo1lWahI/uGs+Vcfa+fbyrTjnfEeSCFMBjzDrDhyl6lg7SzX8EBPOm5DDN66exsubKnluQ4XvOBJhKuAR5sWyClKTAlytcz/EjD+8fCqLJufynRe2srO60XcciSAV8AjS2d3Dii1VfH72ODJ06smYkRAwfnj3fDJTE7n/P9ZzrE3jwfFCBTyCvLe7jqOtndw4V8MPsSY/O5VH7zmP8qNtfPOZMnp6NB4cD7wUsJntN7MtZlZmZuv6ed7M7F/NbK+ZbTaz83zkjDX/tb6cMRnJXD4jz3cUGYbSSbn85Rdm8daOWl3MM074/Dv1CufcQKeFug6YFrwtAh4NfpUBHGnp4K0dNXz5wkkkJegPm1h170WTKDvUwMNv7eac4lFcPkOXkRrJovU3dSnwS9frI2C0mWmn1kG8VFZBZ7fjtgXFvqPIGTAz/s8t5zKjIIs/eWoje2ubfUeSMPJVwA5YaWbrzey+fp4vAg71eVwenPYZZnafma0zs3V1dfF74cNn15czpyibWeOzfUcRC2Bmw76lpyTy1l/dztHDdVz23adJSB81pNeVTJjo+zuX0+RrCOJi51ylmeUDb5rZTufce32et35e0+9WCefcMmAZQGlpaVxuudhe2ci2ykb++obZvqMIgOvh4ZW7zvhtqo+1818byln4nee5ZX4RiacYWnromhlnvEyJLC9rwM65yuDXWmA5sPCkWcqBkj6Pi4HKyKSLPc9tKCcpwbhxXr9/JEiMGjcqlWtnF1B1rJ03d9ToSLkRKOIFbGYZZpZ14j5wDbD1pNleAr4c3BviAuCYc64qwlFjwvGubpZvrOCqmQXk6tDjEWdaQRYXnzWG3TXNfLjvsO84EmI+hiAKgOVmdmL5TzrnXjez+wGccz8GVgBLgL1AK/BVDzljwutbqznS0sHdiyb4jiJhsmBiDg1tnXy8/ygZyYnMLRntO5KESMQL2Dm3D5jbz/Qf97nvgD+KZK5Y9cSag0zITeeSqWN9R5EwMTOunJFPW0c3v95dR0pSgJnjtLF1JIjW3dBkCHbXNLH20yN8cdEEAoH+tlvKSBEIGNfNGUfR6DTe3F7D/voW35EkBFTAMezJNQdJTghwu/b9jQuJCQFumDuesZkpvLqlisqGNt+R5AypgGNUa0cXz20o57pzxumqx3EkJTGBpfMKyUxJ5KVNldQ1HfcdSc6ACjhGvbypkqb2Lr50gXa+jzfpyYncPL+IpIQAL5RV0NDa4TuSDJMKOAY55/jZB/uZUZBF6cQc33HEg+y0JG6aV0iPczy3oYJGncIyJqmAY9DqvfXsrG7ia5dMJrg7n8ShMZkp3Dy/iM7uHp7bUE5ClvaEiTUq4Bj02PufMjYzRZcdEvKzUrlpfhHtnT0U3PV9ahvbfUeS06ACjjG7a5p4d3cd9144kZTEBN9xJAqMy05l6bxCEjJyuPsnH2nDXAxRAceYx97fR2pSQBvf5HcUjk6j9r++R2VDO196bA1HWrRhLhaogGNIXdNxXthYyW0LinXJefmM4+XbeOzeUvYfbuFLj63hWKs2zEU7FXAMeez9fXT19PD7F0/2HUWi1MVTx/Lvv7eAvbXNfPnxNTS2q4SjmQo4RhxuPs4vPzzADXMLmZKX6TuORLHLZ+Tzb/ecx7bKRr76s49pPt7lO5IMQAUcIx5b/SntXd388ZVTfUeRGHD17AIe+eJ8yg418NWfraVFJRyVVMAx4GhLB7/8zX6uP7eQqflZvuNIjFg8Zzw/uGseGw428BWVcFRSAceAx1bvo7Wzmz/R2q+cpuvPLVQJRzEVcJSrbz7OL35zgCVzxjOtQGu/cvpUwtFLBRzl/vXtPbR1dvPQNdN9R5EYphKOTirgKPZJXTNPrDnI3QtLOEt7PsgZUglHHxVwFPuH13aSlpTA16/W2q+ERt8S/urPPlYJe6YCjlJrPz3Cyu013H/ZFMbqhOsSQtefW8i/3DmP9QePqoQ9UwFHoa7uHr738jbGZafytc9N8R1HRqAb5qqEo4EKOAr94sMDbKts5C+vn0Vass54JuGhEvZPBRxlqo618fDKXVw2PY8vnDPedxwZ4VTCfqmAo8z3XtpOV4/jb5fO0dUuJCJUwv6ogKPIym3VvL6tmj+5ahoTxqT7jiNxpG8Jf/nxtTqLWoSogKNEXdNx/uL5Lcwen83/vEQb3iTybphbyA/vns+mQw3c85M1HNVJ3cNOBRwFnHP8+XObaT7exQ/umkdyov5ZxI8l54xn2ZcXsKumibuWfURtk64xF076TY8CT649yKqdtXzrupk634N4d+XMAn7+lfM5dLSVO//9Iyob2nxHGrHivoBLJkzEzCJ+K5nQe023ndWN/N0rO7hk2ljuvXCS3w9DYpsFQvbzefG0PPY9/g0+qahl4V88RVLO+FP+LMvpS/QdwLfyQwd5eOWuiC/3oWtmcKy1k/t+uZ6s1ET+6fa5BALa60HOgOsJ+c9yTWM7L2ysYNQf/4yl84rIy/rsUZkPXTMjpMuMJ3G/BuyNBXjw6Y1UHWvj0S+dR352qu9EIp9RkJ3KbQuKMTP+a0M55UdbfUcaUVTAnoy+5Ev8elcdf3XD2SyYmOs7jsiAxmSmcHtpMZnJibxQVsne2mbfkUYMFbAHm8sbGHXhHdy9sIR7Fk3wHUfklLJTk7ittJj8rBRe3VLF5vIG35FGhIgXsJmVmNk7ZrbDzLaZ2YP9zHO5mR0zs7Lg7buRzhkue2ubeWdXHa171+poN4kpaUkJ3Dy/iMljM3hnVx3v7a6jxznfsWKaj41wXcA3nXMbzCwLWG9mbzrntp803/vOues95AubQ0daeX1bNeOyU1n74j+QmPA935FETktSQoDrzxnP+3vr2XiogaOtHVhymu9YMSvia8DOuSrn3Ibg/SZgB1AU6RyRdvBIKy9tqmRUWhI3zivEdR33HUlkWAIB47LpeVw5I58DR1oZ96V/5NARbZwbDq9jwGY2CZgPrOnn6QvNbJOZvWZmZw/yHveZ2TozW1dXVxeuqGfkwOGW3vJNT+LW84pIS9IpJiX2nVM8ipvmFZGQNZalP/qA93ZH5+9fNPNWwGaWCTwHfN0513jS0xuAic65ucAPgRcGeh/n3DLnXKlzrjQvLy9seYdrd00TL2+qIjc9mVvnF5OeHPe7XssIMiE3nepfPsTYzGTu/dla/vnN3XT3aFx4qLwUsJkl0Vu+Tzjnnj/5eedco3OuOXh/BZBkZmMjHPOMOOdYf+Aor22tJj87hVvOK9LJ1WVE6jpayQt/dDE3zy/iB2/v4d7H11LfrCG2ofCxF4QBPwV2OOceHmCeccH5MLOF9OY8HLmUZ6a7x/HOrjpW761nWn4mt8wvIlXDDjKCpSf3Hs35D7eew8f7j7DkB+/zzs5a37Gino+/hy8Gfg/YYmZlwWn/G5gA4Jz7MXAb8Idm1gW0AXc5Fxv7uzQf72LFliqqjrWzYGIOF581RruaSVwwM+48fwLnFI3m609v5Ks//5i7zi/h21+YRVZqku94USniBeycWw0M2kjOuUeARyKTKHTKj7by2tZqOrt7uG7OOKbrzGYSh2YXZvPyH3+Of35zD8ve+4T399Tzj7edy0VTY2oUMSJ0JFwIdPc4Vu+t57kNFSQnBriztETlK3EtJTGBb103k2fvv5CkBOOLj63hG0+XUduo8wv3pU3yZ+hISwevb62mrvk4cwqzuXR6HkkJ+n9NBGDBxFxee/BSHnlnDz9571Pe3F7D16+exr0XTdLvCVoDHraeHseGg0d5cu1Bmo93ccO547lqVoF+qEROkpacwJ9dO5M3vnEppZNy+LtXd3DdD97n9a3VxMimnbDRGvAwVB9r5+2dNdQ3dzB5bAZXzcwnI+U0P8rgybNFYt5p/iynTV1I5+W/z/21zRyv2kPD+/9B+6cbTmuRxSUTOHTwwOkmjToq4NNwvLObDz45zJaKY2SkJLDknHFMzcscXpGG4eTZQ6GTZ0vIDeNnuafHsbO6iTWpiaSM/xvGj0qldGIOk8dmDOn3aaT8HKuAh8A5x66aJt7fU09bRzfzSkZz4ZQxunimyDAFAsbswmxmjMtiW+UxPt5/lJc3V5GTnsT8khxmjc8iMQ6G81TAp3C0tYN3dtVy6EgbBdkpLJ1XSH6Wrl4hEgoJAePc4tGcXTiKvbXNbDh4lFW7avlw32Fmjc/i7MJR5GYk+44ZNirgAXR197DuwFHW7T9KQoJxxYw85hSNIqBxW5GQSwgYM8ZlMb0gk4qGNsoONVB2qIENBxsoHJ3KnMJRTM3PHHEbuVXA/Th4pJV3dtbS0NbJ9IJMLp2Wd/ob2UTktJkZxTnpFOek03K8ix3VjWyraGTl9hp+vbuO6fmZzBiXxSmO5YoZapU+Wo538f6eenbVNDEqLYmb5hUycUyG71gicSkjJZHSibksmJBDRUMb2yob2VXTxNbKRor+8HH+vxU7uHFuIWcXZsfsHkUqYHo3sm2pOMYHnxymu9uxaHIupRNz4mIjgEi067tW3Nndw766Fp5/cS2Pr85n2Xv7OCsvg6XzirhxbiGTxsbWClPcF3BS/mSeWVdOdWM7xTlpXDkjn5wRPOgvEsuSEgLMGJdF3XN/w67m46zYWsWLZZU8/OZuHn5zN3NLRnPTvEKuP7eQvKwU33FPKW4L2DnH91/dwfh7/4VjbZ1ce3YBMwqyYvZPGZF4k5ORzD2LJnLPoolUNrTx8qZKXiyr5Hsvb+dvX9nOxVPHctO8Iq45uyBqz8YWtwVsZrR0dNG86Q3uf/ABna9XJIYVjk7jDy47iz+47Cz21DTxQlkFL5ZV8s1nN5GyPMDVswu4aV4Rl03Pi6r99+O2gAG+f9M5/P2t/0bqnz7oO4qIhMi0giz+7NqZ/Ok1M9hw8CgvllXyyuYqXt1cxai0JJacM56l8wpZOCmXQMDvX7xxXcC+P3wRCR8zY8HEXBZMzOU7189m9d56XtxYwYtlFTy19iAluWncsaCE20qLGT8qzUvGuC5gEYkPSQkBrpiRzxUz8mnt6GLlthqeWXeIf3pzN//81m4um57HneeXcOXMgogOUaiARSSupCcnctP8Im6aX8TBw608s+4Qz64/xP3/uYExGcncuqCYO0pLmJqfGfYsKmARiVsTxqTzp9fO4OtXT+O9PXU8/fEhHl/9Kcve28f5k3L40gUTWTxnHCmJ4dlIrwIWkbiXmBDgypkFXDmzgLqm4zy3oZwn1xzkwV+VMSYjmdtLS7hn0QRKctNDu9yQvpuISCRE5IIGRurk+bTOu45Hmxby6K/3QNV2djz2TdKTQ1OdKmARiT0RvqBBU3snWysb+fWeppCVL+iacCIip5SVmsSFU8ZQt/z7IX1fFbCIiCcqYBERT1TAIiKeqIBFRDxRAYuIeKICFhHxRAUsIuKJClhExBMVsIiIJypgERFPVMAiIp54KWAzW2xmu8xsr5l9q5/nzcz+Nfj8ZjM7z0dOEZFwingBm1kC8CPgOmA2cLeZzT5ptuuAacHbfcCjEQ0pIhIBPtaAFwJ7nXP7nHMdwK+ApSfNsxT4pev1ETDazMZHOqiISDiZcy6yCzS7DVjsnPsfwce/Byxyzj3QZ55XgL93zq0OPn4b+HPn3Lp+3u8+eteSAWYAwzlJ6FigfhivCxflGZzyDE55BucjT71zbvHJE32ckL2/09if/L/AUObpnejcMmDZGQUyW+ecKz2T9wgl5Rmc8gxOeQYXTXl8DEGUAyV9HhcDlcOYR0Qkpvko4I+BaWY22cySgbuAl06a5yXgy8G9IS4AjjnnqiIdVEQknCI+BOGc6zKzB4A3gATgcefcNjO7P/j8j4EVwBJgL9AKfDXMsc5oCCMMlGdwyjM45Rlc1OSJ+EY4ERHppSPhREQ8UQGLiHgSlwVsZreb2TYz6zGzAXdHMbP9ZrbFzMrM7DP7IHvIM+gh3CHMk2tmb5rZnuDXnAHmC+vnE22HrA8hz+Vmdiz4eZSZ2XfDmOVxM6s1s60DPB/pz+ZUeSL22QSXV2Jm75jZjuDv1oP9zOP/lAfOubi7AbPoPWjj10DpIPPtB8ZGQx56N1h+AkwBkoFNwOww5fn/gW8F738L+IdIfz5D+X7p3VD7Gr37jV8ArAnjv9FQ8lwOvBLun5fgsi4FzgO2DvB8xD6bIeaJ2GcTXN544Lzg/Sxgt8+fn4FucbkG7Jzb4ZwbzhFzYTHEPEM5hDtUlgK/CN7/BXBTmJYzmGg7ZD2Sn/8pOefeA44MMktED+cfQp6Ics5VOec2BO83ATuAopNm837Kg7gs4NPggJVmtj54yLNPRcChPo/L+ewPVKgUuOB+18Gv+QPMF87PZyjfbyQ/k6Eu60Iz22Rmr5nZ2WHKMhSR/GyGystnY2aTgPnAmpOe8v4Z+TgUOSLM7C1gXD9Pfds59+IQ3+Zi51ylmeUDb5rZzuD/9D7yDPnw7DPNcxpvE7LPpx8hPWQ9BIayrA3AROdcs5ktAV6g94x+PkTysxkKL5+NmWUCzwFfd841nvx0Py+J6Gc0YgvYOXd1CN6jMvi11syW0/tn6LAKJgR5Qnp49mB5zKzGzMY756qCf5LVDvAeIft8+hFth6yfcll9f8GdcyvM7N/MbKxzzseJaKLqcH4fn42ZJdFbvk84557vZxbvn5GGIAZgZhlmlnXiPnAN0O8W3ggZyiHcofIScG/w/r3AZ9bQI/D5RNsh66fMY2bjzMyC9xfS+/t1OEx5TiWqDueP9GcTXNZPgR3OuYcHmM3/ZxTprX7RcANupvd/v+NADfBGcHohsCJ4fwq9W7o3AdvoHSrwlsf991bb3fRujQ9nnjHA28Ce4NdcH59Pf98vcD9wf/C+0Xty/0+ALQyyR0uE8jwQ/Cw2AR8BF4Uxy1NAFdAZ/Nn5mufP5lR5IvbZBJf3OXqHEzYDZcHbEp+fUX83HYosIuKJhiBERDxRAYuIeKICFhHxRAUsIuKJClhExBMVsIiIJypgERFP/h+aAawIsXtb0gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(normal_dist, kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "uniform = np.random.rand(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.4559434 , 0.4870988 , 0.56016322, 0.63725814, 0.36807855,\n",
       "       0.71126565, 0.05799146, 0.6371656 , 0.86213485, 0.82536002,\n",
       "       0.31327743, 0.19830384, 0.85187133, 0.8326543 , 0.83154788,\n",
       "       0.15242626, 0.08989212, 0.46856367, 0.75546006, 0.44518185,\n",
       "       0.36269056, 0.73259749, 0.54551928, 0.64697069, 0.60578283,\n",
       "       0.90080972, 0.18748979, 0.72606148, 0.1180897 , 0.30850331,\n",
       "       0.22272975, 0.71922292, 0.34761237, 0.21713489, 0.55216266,\n",
       "       0.90097163, 0.94210937, 0.06139784, 0.36270053, 0.98088364,\n",
       "       0.47110194, 0.48693875, 0.29771453, 0.21537178, 0.28142743,\n",
       "       0.32336902, 0.1553096 , 0.35326953, 0.36342622, 0.14831336])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uniform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e4ce8b7070>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(uniform, kde=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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",
       "  </tbody>\n",
       "</table>\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"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='tip'>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='sex', y='tip', data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='smoker', ylabel='count'>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='smoker', data=tips)"
   ]
  },
  {
   "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>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",
       "  </tbody>\n",
       "</table>\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"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='day', y='total_bill', data=tips, hue='sex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='day', y='total_bill', data=tips, hue='sex', split=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot(x='day', y='total_bill', data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.swarmplot(x='day', y='total_bill', data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='day', y='total_bill', data=tips)\n",
    "sns.swarmplot(x='day', y='total_bill', data=tips, color='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2d10abc4b50>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x='day', y='total_bill', data=tips, kind='strip', jitter=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "flights = sns.load_dataset('flights')"
   ]
  },
  {
   "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",
       "      <th>month</th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949</td>\n",
       "      <td>Jan</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949</td>\n",
       "      <td>Feb</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1949</td>\n",
       "      <td>Mar</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1949</td>\n",
       "      <td>Apr</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1949</td>\n",
       "      <td>May</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year month  passengers\n",
       "0  1949   Jan         112\n",
       "1  1949   Feb         118\n",
       "2  1949   Mar         132\n",
       "3  1949   Apr         129\n",
       "4  1949   May         121"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flights.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year', ylabel='passengers'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEGCAYAAACKB4k+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAYVklEQVR4nO3de7hddX3n8fcHgihXRQJEQENnUi3WemmKUrzTFqy1QJUaHi+0orQOHfWZ1hR6mWotrZN2ZhQ7Xhi1ZcZ6iToUalWKqWgvTjEggqCUjCKXJBCpCCkWDH7nj7XOciecJCs5Z+19zsn79Tz7WWv/9vrt33edvc/67vVba/1WqgpJkgD2mnQAkqS5w6QgSeqYFCRJHZOCJKljUpAkdRZNOoCZOPTQQ2vp0qWTDkOS5pWrrrrqW1W1eLrX5nVSWLp0KWvXrp10GJI0ryT55vZes/tIktQxKUiSOiYFSVLHpCBJ6pgUJEkdk4IkqWNSkCR1TAqSpM68vnhNkvZUK1euZOPGjRxxxBGsWrVq1t7XpCBJ89DGjRu5/fbbZ/197T6SJHVMCpKkjklBktQZNCkkuTnJdUmuSbK2LTskyeVJbmqnjxpZ/rwk65LcmOSkIWOTJD3UOPYUnldVT6mq5e3zc4E1VbUMWNM+J8mxwArgicDJwDuT7D2G+CRJrUl0H50CXNTOXwScOlL+4aq6v6q+AawDjht/eJK05xo6KRTwN0muSnJ2W3Z4VW0AaKeHteVHAreO1L2tLdtKkrOTrE2ydtOmTQOGLkl7nqGvUzihqtYnOQy4PMnXdrBspimrhxRUXQhcCLB8+fKHvC5J2n2D7ilU1fp2eidwMU130B1JlgC00zvbxW8Djh6pfhSwfsj4JElbGywpJNk/yYFT88DPAF8BLgXObBc7E7iknb8UWJFk3yTHAMuAK4eKT5L0UEN2Hx0OXJxkqp0PVtWnk3wRWJ3kLOAW4HSAqro+yWrgBmALcE5VPThgfJKkbQyWFKrq68CTpym/CzhxO3XOB84fKiZJ0o55RbMkqWNSkCR1TAqSpI5JQZLU8SY7kjSH3PH2L/Ra7sG7/62b9qlz+OuP7/W+7ilIkjruKUjSLBjqnsnjZlKQpFkw1D2Tx83uI0lSx6QgSeqYFCRJHZOCJKljUpAkdUwKkqSOSUGS1DEpSJI6JgVJUsekIEnqmBQkSR2TgiSp44B4kjQPLd7vkVtNZ4tJQZLmofOO/+VB3tfuI0lSxz0FSdqBm9+2sddyW+5+sJv2qbP0DUfMKK6huKcgSeqYFCRJHZOCJKnjMQVJC9LKlSvZuHEjRxxxBKtWrZp0OPOGSUHSgrRx40Zuv/32SYcx79h9JEnqmBQkSZ3Bk0KSvZN8Kckn2ueHJLk8yU3t9FEjy56XZF2SG5OcNHRskqStjWNP4fXAV0eenwusqaplwJr2OUmOBVYATwROBt6ZZO8xxCdpDFauXMkrX/lKVq5cOelQtAODJoUkRwEvBN47UnwKcFE7fxFw6kj5h6vq/qr6BrAOOG7I+CSNz9SB340b+10hrMkYek/hbcBK4PsjZYdX1QaAdnpYW34kcOvIcre1ZVtJcnaStUnWbtq0aZCgJWlPNVhSSPJzwJ1VdVXfKtOU1UMKqi6squVVtXzx4sUzilGStLUhr1M4Afj5JD8LPBw4KMkHgDuSLKmqDUmWAHe2y98GHD1S/yhg/YDxSZK2MdieQlWdV1VHVdVSmgPIf1tVLwcuBc5sFzsTuKSdvxRYkWTfJMcAy4Arh4pPkvRQk7ii+a3A6iRnAbcApwNU1fVJVgM3AFuAc6rqwQnEJ0m77NGPOHSr6Xw1lqRQVVcAV7TzdwEnbme584HzxxGTJM2mXz/+vEmHMCu8olmS1DEpSJI6jpIqaV751Ee+1Wu5+zZ/v5v2rfOCl87v4wGzwT0FSVLHpCBJ6pgUJEkdk4IkqeOBZkkz8rqLb935QsCmzVu6ad86F5x29M4X0qxyT0GS1DEpSJI6JgVJUsdjCtIebOXKlWzcuJEjjjiCVatWTToczQEmBWkPNnWLTGmK3UeSpI5JQZLUsftI0oJ00AGLt5qqH5OCpAXp9Bf+9qRDmJfsPpIkdUwKkqSO3UeSxmKfgw7daqq5qVdSSHI68OmqujfJ7wBPA/6gqq4eNDpJC8bSU9446RDUQ9/uo99tE8IzgZOAi4B3DReWJGkS+iaFB9vpC4F3VdUlwMOGCUmSNCl9jyncnuQ9wE8B/yXJvniQWpqTTv3Ymt7Lbt78XQDWb/5ur3p/+ZITdzsuzQ99N+y/CFwGnFxVdwOHAHYQStICs9M9hSR7AVdW1Y9OlVXVBmDDkIFJksZvp3sKVfV94MtJHjuGeCRJE9T3mMIS4PokVwL/OlVYVT8/SFSSpInomxTePGgUkqQ5oVdSqKrPJXkcsKyqPpNkP2DvYUOTJI1b3yuaXwOcTXPW0b8DjgTeDXh+mjSLvD2mJq3vKannACcA9wBU1U3AYTuqkOThSa5M8uUk1yd5c1t+SJLLk9zUTh81Uue8JOuS3JjkpN1bJWn+mro95saNGycdivZQfZPC/VX1wNSTJIuA2lkd4PlV9WTgKcDJSZ4BnAusqaplwJr2OUmOBVYATwROBt6ZxC4qSRqjvknhc0l+C3hEkp8GPgr81Y4qVGNz+3Sf9lHAKTRjJ9FOT23nTwE+XFX3V9U3gHXAcX1XRJI0c32TwrnAJuA64FeATwK/s7NKSfZOcg1wJ3B5Vf0TcHh78dvURXBT3VBHAreOVL+tLdv2Pc9OsjbJ2k2bNvUMX9J09jrwYHLwIex14MGTDkVzRN+zj74P/M/20VtVPQg8JckjgYuT/OgOFs90bzHNe14IXAiwfPnynXVhSdqB/V50xqRD0BzT9+yj63joBvo7wFqa+yrctaP6VXV3kitojhXckWRJVW1IsoRmLwKaPYOjR6odBazvE58kaXb07T76FPDXwMvax18Bnwc2An8+XYUki9s9BJI8gmaE1a8BlwJntoudCVzSzl8KrEiyb5JjgGXAlbu2OpKkmeh7RfMJVXXCyPPrkvxDVZ2Q5OXbqbMEuKg9g2gvYHVVfSLJF4DVSc4CbgFOB6iq65OsBm4AtgDntN1PkqQx6ZsUDkjy9PZAMUmOAw5oX9syXYWquhZ46jTld7Gdi96q6nzg/J4xSZJmWd+k8Grg/UkOoDkgfA/w6iT7A380VHDSQvFzH/uLXsv92+Z7AVi/+d5edT7xkpfNKC5pW33PPvoi8KQkBwNpb7QzZfUQgUmSxq/v2Uf7Ai8GlgKLkubs0ar6/cEikySNXd/uo0toTkG9imb4CknSAtQ3KRxVVScPGokkaeL6Xqfwj0meNGgkkqSJ67un8Ezgl5J8g6b7KDRj3v3YYJFJksaub1J4waBRSJLmhF7dR1X1TZpxiZ7fzt/Xt64kaf7otWFP8nvAbwLntUX7AB8YKihJ0mT07T46jWbIiqsBqmp9kgMHi0qaI8Z9z+QceMBWU2nc+iaFB6qqkhRAO7yFtOBN3TN5XPZ9kWd+a7L6HhdYneQ9wCOTvAb4DLt4wx1J0tzXd+yjP2nvzXwP8HjgP1fV5YNGJkkau75jH+0P/G1VXZ7k8cDjk+xTVd8bNjxJ0jj17T76PLBvkiNpuo5+me3ccU2SNH/1TQqpqvuAXwDeUVWnAccOF5YkaRL6nn2UJMfT3J/5rF2sK82acZ8iKu1p+m7Y30Bz4drF7b2Ufwj47GBRSdsxW6eIvvDiP+613P2bvw3A+s3f7lXnr09744zikiat79lHnwM+B5BkL+BbVfW6IQOTJI1f32EuPpjkoPYspBuAG5P4k0iSFpi+B5qPrap7gFOBTwKPBV4xVFCSpMnomxT2SbIPTVK4pL0+oQaLSpI0EX2TwnuAm4H9gc8neRzN1c2SpAWk74HmC4ALRoq+meR5w4SkPdEvX9xvILg7Nn+vnd7eq86fnfbpGcUl7Wl6X2uQ5IXAE4GHjxT//qxHJEmamL5nH70beCnwH2nuz3w68LgB45IkTUDfYwo/WVWvBL5dVW8Gjqe5Pae0oOWgR5CD9yMHPWLSoUhj0bf76Lvt9L4kjwHuAo4ZJiRp7njYKT8x6RCkseqbFD6R5JHAKuCqtuy9g0SkecWxiKSFpW9S+BPgtcCzgC8Afwe8a6igNH+M+3aVkobV95jCRTRnHl0AvAP4EeB/7ahCkqOTfDbJV5Ncn+T1bfkhSS5PclM7fdRInfOSrEtyY5KTdm+VtJAtOigsOriZSpp9ffcUHl9VTx55/tkkX95JnS3Ar1fV1UkOBK5KcjnwS8CaqnprknOBc4HfTHIssIIm+TwG+EySH66qB3dlhbSwHXaKI7ZLQ+q7p/ClJM+YepLk6cA/7KhCVW2oqqvb+XuBrwJHAqfQ7HnQTk9t508BPlxV91fVN4B1wHE945MkzYK+SeHpwD8muTnJzTTHFZ6T5Lok1+6scpKlwFOBfwIOr6oN0CQO4LB2sSOBW0eq3daWbfteZydZm2Ttpk2beoYvSeqj7754vzEIppHkAODjwBuq6p5ku33B073wkEH3qupC4EKA5cuXOyjfQN7zv/sd0vnOvVva6e296vzKKy6bUVyShtV37KNv7s6btyOrfhz4i6r6P23xHUmWVNWGJEuAO9vy29j6grijgPW7064kaff07T7aZWl2Cd4HfLWq/tvIS5cCZ7bzZwKXjJSvSLJvkmOAZcCVQ8UnSXqoIU/lOIHmRjzXJbmmLfst4K3A6iRnAbfQjKNEe+/n1TR3dtsCnOOZR5I0XoMlhar6e6Y/TgBw4nbqnA+cP1RMkqQdG6z7SJI0/3gl0AIz7rGI9j8gQLVTSfOdSWGBGfdYRM/5mb3H1pak4dl9JEnqmBQkSR2TgiSp4zGFeeKy9/1sr+Xuu+eBdrq+V52TzvrkjOKStLC4pyBJ6pgUJEkdk4IkqWNSkCR1PNC8wBy8P0DaqSTtGpPCAvOLz3/YpEOQNI+ZFAY27rGIJGkmTAoDG/dYRJI0Ex5oliR1TAqSpI5JQZLU8ZjCbrrlgpf0Wm7L3d9ppxt61Xns6z42o7gkaSb2uKTg2UCStH17XFLwbCBJ2j6PKUiSOiYFSVJnwXQfbXrXB3ot9+B37u2mfeosfu3LZxTXofvttdVUkuayBZMU5qrf+MkDJx2CJPXmz1dJUsekIEnq7HHdR4v3O2CrqSTpB/a4pPDbzz5p0iFI0pxl95EkqWNSkCR1BksKSd6f5M4kXxkpOyTJ5UluaqePGnntvCTrktyYxD4eSZqAIfcU/hw4eZuyc4E1VbUMWNM+J8mxwArgiW2ddybZe8DYJEnTGCwpVNXngX/ZpvgU4KJ2/iLg1JHyD1fV/VX1DWAdcNxQsUmSpjfuYwqHV9UGgHZ6WFt+JHDryHK3tWUPkeTsJGuTrN20adOgwUrSnmauHGjONGU13YJVdWFVLa+q5YsXLx44LEnas4w7KdyRZAlAO72zLb8NOHpkuaOA9WOOTZL2eONOCpcCZ7bzZwKXjJSvSLJvkmOAZcCVY45NkvZ4g13RnORDwHOBQ5PcBvwe8FZgdZKzgFuA0wGq6vokq4EbgC3AOVX14FCxSZKmN1hSqKoztvPSidtZ/nzg/KHikSTt3Fw50CxJmgNMCpKkjklBktQxKUiSOiYFSVLHpCBJ6pgUJEkdk4IkqWNSkCR1TAqSpI5JQZLUMSlIkjomBUlSx6QgSeqYFCRJHZOCJKljUpAkdUwKkqSOSUGS1DEpSJI6JgVJUsekIEnqmBQkSR2TgiSpY1KQJHVMCpKkjklBktQxKUiSOiYFSVLHpCBJ6pgUJEmdOZcUkpyc5MYk65KcO+l4JGlPMqeSQpK9gf8BvAA4FjgjybGTjUqS9hxzKikAxwHrqurrVfUA8GHglAnHJEl7jFTVpGPoJHkJcHJVvbp9/grg6VX1ayPLnA2c3T59PHDjbjR1KPCtGYZre7Zne3O7LdvbvsdV1eLpXlg0s3hmXaYp2yprVdWFwIUzaiRZW1XLZ/Ietmd7tje327K93TPXuo9uA44eeX4UsH5CsUjSHmeuJYUvAsuSHJPkYcAK4NIJxyRJe4w51X1UVVuS/BpwGbA38P6qun6ApmbU/WR7tmd786It29sNc+pAsyRpsuZa95EkaYJMCpKkH6iqBfEA3g/cCXxlpOzJwBeA64C/Ag7aps5jgc3Ab4yUvRS4FrgeWDUb7QFLge8C17SPd4/U+fF2+XXABbRdegO1dT5wK7B5tv6W22sP2A/4a+Br7d/yrWP4W34a+HLb3ruBvYdsb6TupaPvNeD6XUFzXc7Ua4cN3N7DaPqs/7n9HF884PflwJGya2jOvX/bwOt3Rrv8tTTfnUMHbm/Wty3taz/WvnZ9+/rD+25bpm2/z0Lz4QE8G3jaNn/ILwLPaedfBbxlmzofBz5KmxSARwO3AIvb5xcBJ860vfaLMu1GA7gSOJ7mGo1PAS8YsK1nAEvYeVKYcXs0SeF57fzDgL+bbt1mef2m/jHTfrYrhmyvff0XgA/uZJnZWr8rgOWz+b+wk/beDPxBO78X299oztrfc6T+VcCzB/x+LqLZ8B7aPl8FvGnA9obatiyiSTRPHmln73Z+p9uWadvvs9B8eWz7gQD38IOD6UcDN4y8dirwx8Cb+EFS+AngMyPLvAJ450zb28EXZQnwtZHnZwDvGaKtbd5rh0lhtttrl3s78JpxtAfsQ/Nr6qVDtgccAPw9zThdO4tpNtq7gh5JYRbbuxXYf1ztjdRd1ra93V+2M22v/Y5sAh5Hs9F8N3D2gO0NtW35WeAD09TvvW3Z9rHQjyl8Bfj5dv502gvjkuwP/CbNL6FR64AnJFmaZBFN4jia/qZtr3VMki8l+VySZ7VlR9JcsDfltrZsiLZmarfbS/JI4EXAmqHbS3IZzS/Ae4GPDdzeW4D/Cty3C+3MpD2AP0tyTZLfTTLdCACz0l77mQG8JcnVST6a5PCh2tvGGcBHqt2aDdFeVX0PeC1N98p6msT+vqHaY7htyw8DleSy9nNa2Zbv9rZloSeFVwHnJLmKps/ygbb8zcB/r6rNowtX1bdpvigfoenuuBnYMgvtbQAeW1VPBf4T8MEkB9FjWI9ZbGumdqu99h/gQ8AFVfX1odurqpNofiXtCzx/qPaSPAX491V18S60MdP1e1lVPQl4Vvt4xYDtLaIZUeAfquppNH3WfzLw+k1ZQfOd2RW7+vntQ/O//lTgMTRdMOcN1d6A25ZFwDOBl7XT05KcyEy2LX12J+bLgx3vCv8wcGU7P/Wh3AzcDfwL8GvT1DmbHR8Q6tXeNK9dASxnBt1Hu9rWNmW73H20u+3RHDS7YFztjZSfCfzpgJ/da2l+Yd5M8yvsAeCKMa7fLw28fgH+FdirLT8auH4M35cnA/889PeFpjtnzUj5s4FPjvHzm5VtC00C/fOR134XeCN2H00vyWHtdC/gd2j6DamqZ1XV0qpaCrwN+MOq+tNt6jwK+A/Ae2faXpLF7b0iSPJDNH2mX6+qDcC9SZ7RdgW8ErhkiLb6rsNstpfkD4CDgTcM3V6SA5IsacsX0fS1fm2o9qrqXVX1mPY79EyaDdlzB1y/RUkObcv3AX6OpkthqPUrmuMyU+t0InDDUO2NVD2DXd9L2J32bgeOTTI1UuhPA18dcv2G2LbQjP7wY0n2a7/3z6E53rDb25adZo358qD5Im0Avkfzy+0s4PU0p9P9M/BWpj/d801sfUrqh2i+/DewnbNXdrU94MU0p4t9GbgaeNHI+yyn+ef+f8CfbifG2WprVVv/++30TUOtG03XQ9H8o13TPl49YHuH05yhMXXK3zuARUN+dn1+1c3i+u1Pc0bO1Pq9ne2fcjtb35fHAZ9v21xD0y0y6N+TZgP6hNn6X9/J+v0qzffzWpoE+OiB25v1bUu7/MvbNr/CyN4HPbYt0z0c5kKS1FnQ3UeSpF1jUpAkdUwKkqSOSUGS1DEpSJI6JgVJUsekIE3Y1MVO0lxgUpB2QZK3JHn9yPPzk7wuyRuTfDHJtUnePPL6Xya5Ksn1Sc4eKd+c5PeT/BPN8MbSnGBSkHbN+2jGVZoacmAFcAfNcAbHAU8BfjzJs9vlX1VVP05zdenrkjy6Ld+f5irop1fV348xfmmHFk06AGk+qaqbk9yV5Kk0Q2t8iWZwtZ9p56G5z8IymiEiXpfktLb86Lb8LuBBmhsBSXOKSUHade+lGaX0CJpRYE8E/qiq3jO6UJLnAj8FHF9V9yW5Anh4+/K/VdWDY4pX6s3uI2nXXQycTLOHcFn7eFWSAwCSHNmOankw8O02ITyB5nao0pzmnoK0i6rqgSSfBe5uf+3/TZIfAb7QjFLMZpqRKz8N/GqSa4Ebgf87qZilvhwlVdpF7QHmq4HTq+qmSccjzSa7j6RdkORYmvvtrjEhaCFyT0GS1HFPQZLUMSlIkjomBUlSx6QgSeqYFCRJnf8PafIIjE/9cwAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='year', y='passengers', data=flights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "flights_pivot = flights.pivot_table(index='month', columns='year', values='passengers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year', ylabel='month'>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7I+IPMpVrdUQcKOlM4K+AP8t0HjOzhvR3yJg09RqtueaTbSnFpr6TXm8H/nCoA1JXpAUAM6Zsz9SJW7SnZGa2WcvVXJPLiEk+Im4EkPRPEfG3tfsk/RNw4xjP28trm4oGjx8w8NdC33BlrO2atP0We/pegZm1RaZhDbKpt03+jUNs+70mzvtLYK/UDWgWw9xgMDPrNDkGKMtptDb5vwDOBHaVtKxm1wzglkZPJqkHWB8Rj6VuQMuAB4E7G41lZjYeqtYm/3XgB8AnKEZBG/DCGOde3Rv4BUBE/A3FeA2vkR4KGFhfQjEBuJlZR6ham/waYA1wiqRuYLv0memSpkfEinpPJOldwNnAe8deXDOz8VW2p4XqfeL13cA/AE/w6khpAexb74ki4mLg4gbLZ2bWUarWXDPgvcDu6SksM7PNVn+H3FCtV71J/jGKZpuONKV7Ypa4s3qmZom7RfeULHGnZpq9CfLN4PRrvXlGu969a22WuADbzH0hS9xJe84c/aAx6Nouz+xNAF37HpAlbs+huZ6zbF5Va/IPAzdI+n+89onXT2cplZlZh6rUjdcaK9IyMS1mZpulStbkI+I8AEkzireR729hM7MOVrLONXX3rtkH+CowO71fDbwzIpZnLJuZWcfp6y/XrKn1NtcsBN4fEddDMVQw8AXgdXmKZWbWmTpkBOG61fuVNG0gwcMrg9tPa/bkkkZs9pF0g6SDmz2PmVmrBKp76QR1966R9CGKJhuAdwCP5CmSmVnn6i9Zo3y9NfnTgW2AKynGet8aOK0VBRhpligzs07Tj+peOkG9Sf7Xgbnp+AkUQwP/OFehzMw6VVWba75GMQ3fPXTIfYfamaG2mrojMyZvNc4lMrPNQV+HJO961Zvkn4qI72Yqw2izRA2pdmaoXbbar2StZGZWVh1Ry21AvUn+I5IuARbz2mENvjP8R+r2yixRFAn+aOCmFsQ1M2u5qib5PwX2oGiPrx1qeMxJ3rNEmVkZdUpbe73qTfL7RcRvtPjc9cwSdUSLz2lm1pSSjTRcd++an0raq1UnTbNEfQP4+1bFNDNrh7J1oay3Jn84cKqkRyja5EUxUFndM0PV8ixRZlZWfeNdgAbVm+SPzVoKM7OS6Fdn1NDrVe9Qw7/MXRBr3lS6s8WelGkM7Q2Zfl/WbpiQJzDQuz7PKITqynMxNL3pYaaGNznP7Gnx4nNZ4gLF8/pNKFt/7XzzxZmZVVBVu1CamRnl613jJG9m1oCqDmtgZmaUryZfrnmszMzGWX8Dy2gkTZZ0m6S7JC2XNDCf9mxJiyQ9mF63rPnMuZIekvSApGNGO0f2JC/pBEkhaY/c5zIzyy0aWOqwHjgqIvYD9geOlfRbwDnA4oiYTzFm2DkA6aHUkylGDDgWuEjSiN3q2lGTP4ViwLGT23AuM7Os+lX/MpooDEyDOiEtARwHXJq2Xwocn9aPAy6PiPUR8QjwEHDISOfImuQlTQdeD5xBSvIjzQQl6U2S7pd0k6TP1R5nZtYJWtlcAyCpW9JS4ElgUUTcCmwXEasA0uu26fAdgcdqPr4ybRtW7pr88cC1EfFz4BlJBw53oKTJwH8AvxcRh1NMN2hm1lH6VP8iaYGkJTXLgsHxIqIvIvYHdgIOkbTPCKcf6u+DEVuGcif5U4DL0/rl6f1w9gAeTn+CQDGA2bBqL94L655uvqRmZnVopCYfEQsj4uCaZeFwcSPiOeAGirb2JyTNAUivT6bDVlJMxTpgJ+DxkcqbLclL2go4CrhE0qPAXwNvpRjfZ6iZoBrqmFR78Tz1n5m1S4t712wjaYu0PgX4HeB+4Brg1HTYqcDVaf0a4GRJkyTtAswHbhvpHDn7yZ8IXBYRfz6wQdKNaXWomaDuB3aVNC8iHqX4QjAz6ygtHrtmDnBp6iHTBVwREd+T9BPgCklnACuAkwAiYnmaZOleiqlTz4qIEQfGzJnkTwEuGLTtSuBtwCYzQUXEy5LOBK6VtJpRvp3MzMZDKx+GiohlwAFDbH+aogI81GfOB86v9xzZkvxQszpFxOdq3m4yExRwfUTsIUnAvwFLMhXPzGxMyjZAWac98fp/U1ei5cAsit42ZmYdo6+BpRN01Ng1EfEZ4DPjXQ4zs+GUbeyajkryZmadrmzNNZVI8i/3bcgSd1J3nrgv9ueJu1IvZYkLsLFr8ugHjcHa7jwzOM3qmZQlLsDEFVuOftCYPJsn7M3354kLzDp0RZa4sfuyLHEBJp417DOZdfHMUGZmFdZfsjTvJG9m1oBOuaFaLyd5M7MGuE3ezKzC3LvGzKzCytYm35aHoST9XZraapmkpZIObcd5zcxarcUzQ2WXvSYv6TDgzcCBEbFe0tbAxNznNTPLwW3ym5oDrI6I9QARsRpA0kHAp4HpwGrgtIhYJekGYCnFlFYzgdMjwoOVmVlH6OuYOnp92tFccx0wV9LPJV0k6bclTQA+D5wYEQcBX+K1o6pNi4jXAWemfWZmHaHV0//llr0mHxFrU639/wBHAt8E/hHYB1hUDDhJN7Cq5mPfSJ/9saSZkrZIs6a8Ik2jtQBgxpTtmTpxi8z/EjOz8t14bUvvmjSo/Q3ADZLuBs4ClkfEYcN9ZJT3pGm0FgJsv8We5brqZlZaZUs22ZtrJO0uaX7Npv2B+4Bt0k1ZJE2QtHfNMW9N2w8H1kTEmtzlNDOrh5trNjUd+Hyax7AXeIiimWUh8DlJs1I5LqQYRx7gWUm3kG68tqGMZmZ1KduN13a0yd8OvG6IXauBNwzzsSsj4tx8pTIzGxu3yZuZVVi5UnwHJvmh5oY1M+sUrsmbmVVYp9xQrVclkvzaDeuyxI3I843drTydmiZkigv5umGtV55fmRk9U7LEBdjYlyf2hkfzXOUp3flGQFfXc1nizux/OEvcVgjX5M3Mqsu9a8zMKszNNWZmFdafqRk3Fyd5M7MGlCvFO8mbmTWkbF0o2zIzFICknSRdLelBSb+Q9FlJw04eIum9kqa2q3xmZvWIBv7rBO2a/k/Ad4D/ioj5wG4UY9qcP8LH3gs4yZtZR+kl6l46Qbuaa44C1kXEl6EYeljS+4BHJP0DcB5wDEVz1xcAATsA10taHRFHtqmcZmYj6pQaer3aleT3Bm6v3RARz0taAfwZsAtwQET0SpodEc9Iej9w5MB0gWZmncBdKIcmhr4pLYqRKC+OiF6AiHimroA1M0NNnLAVE3pmtKioZmbDy/UkfC7tuvG6HDi4doOkmcBchv8CGFFELIyIgyPiYCd4M2uXfqLuZTSS5kq6XtJ9kpZLek/aPlvSotRRZZGkLWs+c66khyQ9IOmY0c7RriS/GJgq6Z0AkrqBTwFfoZjo+12SetK+2ekzLwDO3mbWUfqIupc69AIfiIg9gd8CzpK0F3AOsDh1VFmc3pP2nUzRBH4scFHKp8NqS5KP4u+bE4CTJD0I/BxYB3wQuARYASyTdBfwtvSxhcAPJF3fjjKamdWjlTX5iFgVEXek9RcopkbdETgOuDQddilwfFo/Drg8ItZHxCMUM+0dMtI52vYwVEQ8BrxlmN3vT0vt8Z8HPp+7XGZmjcjVJi9pHnAAcCuwXUSsSudbJWnbdNiOwE9rPrYybRtW2x6GMjOrgkYm8pa0QNKSmmXBUDElTQeuBN4bEc+PcHoNsW3Ebx0Pa2Bm1oBG+slHxEKKpudhSZpAkeC/FhHfSZufkDQn1eLnAE+m7SspOqwM2Al4fKT4rsmbmTWgxb1rBHwRuC8iPl2z6xrg1LR+KnB1zfaTJU2StAswH7htpHO4Jm9m1oC+aOnjUK8H/gS4W9LStO2DwAXAFZLOoOiYchJARCyXdAVwL0XPnLMiYsSpvyqR5Nf1bsgSt7c/z7Rpk3uGHZetKZO6JmSJC7CuvzdL3A3deabSm9Sd74/Uvu5JmSLnidud8dmdrhV5gq974aUscaH5ftmtHNYgIm5i6HZ2gKOH+cz5jDzu12tUIsmbmbWLJw0xM6uwcqV4J3kzs4aUbdIQJ3kzswaULcln7UIpKSR9qub9X6Xx483MSqkv+uteOkHufvLrgT+UtHXm85iZtYWn/3utXoqnvd43eIeknSUtlrQsvf6apFmSHpXUlY6ZKumx9ESYmdm4i4i6l07Qjide/w14u6RZg7b/K3BZROwLfA34XESsAe4Cfjsd8xbghxGxsQ3lNDMbVSufeG2H7Ek+DbZzGXD2oF2HAV9P618FDk/r3wTemtZPTu83UTvwT3//i60ttJnZMFyTH9qFwBnAtBGOGbgi1wC/lyYPOQj47yEPrpkZqqtrpLBmZq3TR3/dSydo16QhzwBXUCT6AbdQ1NQB3g7clI5dSzHgzmeB7402LoOZWTv1R9S9dIJ2jkL5KaC2l83ZwJ9KWkYxQM97avZ9E3gHwzTVmJmNl7L1rsn6MFRETK9ZfwKYWvP+UeCoYT73bYYftMfMbNx0Sg29Xn7i1cysAZ1SQ6+Xk7yZWQNckzczq7BOGa6gXk7yZmYNcHPNOJjUk2fUgy0m5el/P2tCnrhbdk8d/aAx6lF3lrhbd+WZGWqXyDV7E2zfl6dPwJyNeWbfytmFbs68NVniTt2hc3tOh2vyZmbV1SnDFdTLSd7MrAGdMlxBvZzkzcwa4Jq8mVmF9fW7Td7MrLLcu6aGpD7gbmACxQQilwIXRtluT5uZJW6Tf62XI2J/AEnbUowfPwv4SObzmpllUbY2+baNQhkRTwILgHer0C3pXyT9LE0B+OcDx0r6G0l3S7pL0gXtKqOZ2WjKNmlIW9vkI+LhNH/rtsBxwJqI+E1Jk4CbJV0H7AEcDxwaES+lyUM2IWkBxZcGEyfMpqdnRlv+DWa2efON19ENPC74u8C+kk5M72cB84HfAb4cES/BKxOObCIiFlJMEs60qfM64yvTzCqvbM01bU3yknYF+oAnKZL9X0bEDwcdcyyU7Cqa2WajU5ph6tW2NnlJ2wAXA/8axVX6IfAXkiak/btJmgZcB5wuaWraPmRzjZnZeCjb9H+5a/JTJC3l1S6UXwU+nfZdAswD7pAk4Cng+Ii4VtL+wBJJG4DvAx/MXE4zs7q4n3yNiBh26MLUV/6DDJHAI+ICwL1qzKzjdEoNvV5+4tXMrAH9JXuW00nezKwBZbvx6iRvZtaAsiX5hp7eqsICLChT3DKW2dfC16Iq16IKS9u6UHaQBSWLmzN22eLmjF22uDljly1u7tiltjkmeTOzzYaTvJlZhW2OSX5hyeLmjF22uDljly1uzthli5s7dqkp3bQwM7MK2hxr8mZmmw0neTOzCnOSNzOrMCd5M7MKc5I3M6uwyo9dI+lI4I+AuRRj2j8IXBIRDzUZ9xiKuWh3pJjJ6nHg6oi4tqkCj3zOD0fER5v4/DHATsDiiHi0ZvvpEfGlMcYUcBLFNfg2cBTF/L33AxdHtHbIPkn/HRFHNRlj64hYXfP+HcAhwD3AF2KMXc4knQDcGBHPpElyPgUcANwLfCAiVjZR5k8DV0bEzWONMUzc2cC7KX5+v0gx9PdhwH3AxyPi2SZiZ/ndS7Hb/vtXVpXuQinpAmA7YDHFD8QjwM+BMyl+gL81xrgXArsBlwEDv7g7Ae8EHoyI9zRV8OHPuyIifm2Mn/04cDhwB/AW4MKI+Hzad0dEHDjGuBdRTMw+EXgemAR8F3gT8EQz10LSssGbKK77AwARse8Y477y75X098D/Ab4OvBlYGRHvG2PceyNir7T+TeCnwLco5i1+e0S8cSxxU7yngF8C2wDfBL4REXeONV5N3O8DdwMzgT3T+hXAG4H9IuK4McbN8ruXYl/IOPz+ldZ4D56TcwHurlnvAW5O61sC9zQR9+fDbBfFD1kzZX5+mOUFoLeZawH0pPUtKGbc+kx6f2ez15hi9q+ngYk11/vuscZNMa4B/hPYA9iZYiaxx9L6zk3EvbNm/Q5gWs2/YcxlBh6oWb990L6lTV6LO9PrfOBDwHKKv5Y+AuzWRNyl6VXAr1pV5ly/eylGtt+/Ki5Vb5Pvr5kjdgegGyCKP0HVRNx1kg4ZYvtvAuuaiAvwHDA/ImYOWmYAq5qI2xMRvQAR8RxFbX6mpG9R1MLHaiDmRuBnEbEhve+lmLR9zCLiD4ArKZ5m3C+KJqaNEfHLiPhlE6GnSDpA0kFAd0S8WPNvaKbMN0j6qKQpaf14eKXZYk0TcSFNbh8RD0bExyJib+CPgckUX9hj1SVpS4omlemS5gFI2ormfi5y/e5B3t+/yql6m/zHgTslPUBRG/wLeGVS8buaiHsa8O+SZvDqn4tzKWrcpzURF4o/QXcGnhhi39ebiPsLSb8dETcCREQfcIakf6RoNx2r/5U0PSLWRsSxAxslbQ9saCIuqZxXSboO+JikP6O5xDNgFa/ONfyMpDkRsSoltt4m4r4b+DtScxLwPkkvUjRf/UkTcWGIxBgRy4BlwLlNxP0ExV8EAKcDl0gKYC/gvCbi5vrdg7y/f5VT6TZ5eOXG0q7AQ6kG28rY21Pc+BFFW+7/tjJ+K6XaJRHx8hD7doyIX7X4fNMomkGebGHM/YDDIuLiVsUcFL8bmBQRL7Ug1iyKv56ebr5kMPBF2opYQ8TupsgFvZJ6gP0pmm6a+csx6+9eil+a37/xVPkkP5ikMyPiohbHnE5xI+jhDF8kWWKXLW7O2GWLmzN2GeJKmkjRbBfp/ZHAgcDycO+aTY33TYGcC/D+QcsHgNUD75uIe1HN+uHACuB6ipuCb2qyzFlily1uGcvsa9G2a3EXsGVa/2vgFuDvgUXAJ5qJXcVl3AuQ9R9X9Ej5JvBhil4IHwGeHVhvIu4dNevXAwem9V2BJU2WOUvsssUtY5l9Ldp2Le6pWV8CTEnrPcCyZmJXcal675q9Ke7qTwP+JSLOA56NiPPSeivMjIg7ACLi4XS+VskVu2xxc8YuW9ycscsS93lJ+6T11RQ9jKBI8lXPaQ2rdO+aiFgBnCjpOGCRpM+0KPQe6UEdAfMkbRkRz0rqouhr3Ymxyxa3jGX2tcgfF+BdwNck3QU8CSyRdCOwL0WvHqtR6SQ/ICKulvQj4B94tctVM/Yc9P7F9DqbommoE2OXLW7O2GWLmzN22eISEcskHQj8LsXN3Lsofq/fHxl68ZTdZte7xsxsc1Lp9itJ09MTiMslrZH0lKSfSjqtE+OWscy+FvnjlrHMZbwWVVXpmrykq4GrgB9RPAI+DbicorvVryLig50Ut4xl9rXIH7eMZS7jtais8e7ek3MB7hr0/mfptQu4v9PilrHMvha+FlW5FlVdKt1cA7wo6XAASW8BngGIYozzZgZJyhU3Z+yyxc0Zu2xxc8YuW9zcsatnvL9lci4UXapuoxjZ8SbSkKwUY3Kf3Wlxy1hmXwtfi6pci6oule5CGcUofZsMSRoRT0l6odPi5oxdtrg5Y5ctbs7YZYubO3YVVfrG60jUxCxL4xE3Z+yyxc0Zu2xxc8YuW9zcscuq0jV5bTp93Cu7KKYm66i4OWOXLW7O2GWLmzN22eLmjl1FlU7yFP/Dj6EYlKyWKEau67S4OWOXLW7O2GWLmzN22eLmjl05VU/y3wOmR8TSwTsk3dCBcXPGLlvcnLHLFjdn7LLFzR27cjbbNnkzs81B1fvJm5lt1pzkzcwqzEnezKzCnORtsyeplbM2mXUUJ3krFUkfk/SemvfnSzpb0l9L+pmkZZLOq9n/X5JuT8PSLqjZvjYNV3srcFib/xlmbeMkb2XzReBUABVTyZ0MPAHMp3jUfX/gIElvSMefHhEHAQcDZ0vaKm2fRjEh9KERcVMby2/WVlXvJ28VExGPSnpa0gEUD8XcCfwmxVRwd6bDplMk/R9TJPYT0va5afvTQB9wZTvLbjYenOStjC4BTgO2B74EHA18IiL+o/YgSUcAvwMcFhEvpQdlJqfd6yKir03lNRs3bq6xMroKOJaiBv/DtJwuaTqApB0lbQvMAp5NCX4P4LfGq8Bm48U1eSudiNgg6XrguVQbv07SnsBPJAGsBd4BXAu8Kw1o9QDw0/Eqs9l48bAGVjrphusdwEkR8eB4l8esk7m5xkpF0l7AQ8BiJ3iz0bkmb2ZWYa7Jm5lVmJO8mVmFOcmbmVWYk7yZWYU5yZuZVZiTvJlZhf1/r+wkNzoEHisAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(flights_pivot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x2d10f931a60>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.clustermap(flights_pivot, standard_scale=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x2d1123b0d00>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='year', y='passengers', data=flights, kind='reg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "iris = sns.load_dataset('iris')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "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",
       "  </tbody>\n",
       "</table>\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"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='count'>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('white')\n",
    "sns.set_context('notebook')\n",
    "sns.countplot(x='sex', data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2d1193e9670>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 436.35x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='total_bill', y='tip', hue='sex', data=tips, palette='coolwarm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year', ylabel='passengers'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 4))\n",
    "sns.barplot(x='year', y='passengers', data=flights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "normal = np.random.randn(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2.25811105, -0.44607815,  0.08148841,  1.10243333, -0.38276646,\n",
       "       -0.33068059,  1.31238273, -0.97398417,  0.86260882, -0.48687842,\n",
       "        0.05446964,  0.632059  , -0.09418248,  0.09208203, -0.63744979,\n",
       "        1.03739502, -0.97092319,  1.05082562, -0.49337956, -0.05642868,\n",
       "       -0.242004  , -0.23180878,  0.73231824, -0.5578541 , -0.88173103,\n",
       "       -0.13425164, -0.20752377,  0.11492405, -1.00303044, -0.24490967,\n",
       "        1.28853913, -0.10035983, -1.31378562,  0.6499603 , -1.11179589,\n",
       "       -0.34615937, -1.60555751,  2.10365291, -1.07045093,  1.49522321,\n",
       "        0.78603643,  1.61342346,  0.38956992,  0.66997616,  0.54599371,\n",
       "        0.54561677, -0.04352374, -0.57295523,  0.30376136, -2.36121863])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "standard = np.random.rand(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.02424392, 0.04327856, 0.03147488, 0.41569788, 0.08741011,\n",
       "       0.28169985, 0.08576425, 0.46056095, 0.41383204, 0.26417751,\n",
       "       0.85366376, 0.28601907, 0.79376625, 0.23629893, 0.7006794 ,\n",
       "       0.36402142, 0.2873223 , 0.59327181, 0.44462689, 0.2046831 ,\n",
       "       0.42157263, 0.59557532, 0.62133031, 0.41385083, 0.61108572,\n",
       "       0.7982251 , 0.33152233, 0.21221167, 0.69456283, 0.21855959,\n",
       "       0.53661707, 0.79053574, 0.35004432, 0.79590266, 0.87454323,\n",
       "       0.96549765, 0.4200768 , 0.51860231, 0.91343333, 0.28434641,\n",
       "       0.48556894, 0.54287689, 0.48770544, 0.59734168, 0.57305999,\n",
       "       0.72970572, 0.42468239, 0.58887463, 0.10626148, 0.89954946])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "standard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "float() argument must be a string or a number, not 'FacetGrid'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-11-a625ad167948>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0maxes1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxes2\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mncols\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0maxes1\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdisplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnormal\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkde\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdisplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstandard\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkde\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py\u001b[0m in \u001b[0;36mplot\u001b[1;34m(self, scalex, scaley, data, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1743\u001b[0m         \u001b[0mlines\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_lines\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1744\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mlines\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1745\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_line\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1746\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_request_autoscale_view\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mscalex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mscalex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mscaley\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mscaley\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1747\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mlines\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_base.py\u001b[0m in \u001b[0;36madd_line\u001b[1;34m(self, line)\u001b[0m\n\u001b[0;32m   1962\u001b[0m             \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_clip_path\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1963\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1964\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_update_line_limits\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1965\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1966\u001b[0m             \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'_line%d'\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlines\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_base.py\u001b[0m in \u001b[0;36m_update_line_limits\u001b[1;34m(self, line)\u001b[0m\n\u001b[0;32m   1984\u001b[0m         \u001b[0mFigures\u001b[0m \u001b[0mout\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdata\u001b[0m \u001b[0mlimit\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mgiven\u001b[0m \u001b[0mline\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mupdating\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdataLim\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1985\u001b[0m         \"\"\"\n\u001b[1;32m-> 1986\u001b[1;33m         \u001b[0mpath\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_path\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1987\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvertices\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1988\u001b[0m             \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\lines.py\u001b[0m in \u001b[0;36mget_path\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1009\u001b[0m         \"\"\"\n\u001b[0;32m   1010\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_invalidy\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_invalidx\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1011\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrecache\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1012\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_path\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1013\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\lines.py\u001b[0m in \u001b[0;36mrecache\u001b[1;34m(self, always)\u001b[0m\n\u001b[0;32m    656\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0malways\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_invalidy\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    657\u001b[0m             \u001b[0myconv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconvert_yunits\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_yorig\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 658\u001b[1;33m             \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_to_unmasked_float_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0myconv\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    659\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    660\u001b[0m             \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_y\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\matplotlib\\cbook\\__init__.py\u001b[0m in \u001b[0;36m_to_unmasked_float_array\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m   1287\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfloat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfilled\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnan\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1288\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1289\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfloat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1290\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1291\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\numpy\\core\\_asarray.py\u001b[0m in \u001b[0;36masarray\u001b[1;34m(a, dtype, order)\u001b[0m\n\u001b[0;32m     81\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     82\u001b[0m     \"\"\"\n\u001b[1;32m---> 83\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0morder\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     84\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     85\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: float() argument must be a string or a number, not 'FacetGrid'"
     ]
    },
    {
     "data": {
      "image/png": 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kuV9g8uuK/4vJVc9HrpB8zWXuIrO9qFwvMts7Ldf+agVJasJ32kpSExa+JDVh4UtSExa+JDVh4UtSExa+JDVh4UtSE/8NbVa/mhVCdpUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (axes1, axes2) = plt.subplots(nrows=1, ncols=2)\n",
    "axes1.plot(sns.displot(normal, kde=True))\n",
    "\n",
    "sns.displot(standard, kde=True)"
   ]
  },
  {
   "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
}