DataTalks_Visualization IV.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization\n",
    "import dataset from https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/07_Visualization/Tips/tips.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "sns.set_style(\"white\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/07_Visualization/Tips/tips.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>Unnamed: 0</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",
       "      <td>0</td>\n",
       "      <td>0</td>\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",
       "      <td>1</td>\n",
       "      <td>1</td>\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",
       "      <td>2</td>\n",
       "      <td>2</td>\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",
       "      <td>3</td>\n",
       "      <td>3</td>\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",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>25.29</td>\n",
       "      <td>4.71</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8.77</td>\n",
       "      <td>2.00</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",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>26.88</td>\n",
       "      <td>3.12</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>15.04</td>\n",
       "      <td>1.96</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",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>14.78</td>\n",
       "      <td>3.23</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  total_bill   tip     sex smoker  day    time  size\n",
       "0           0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1           1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2           2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3           3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4           4       24.59  3.61  Female     No  Sun  Dinner     4\n",
       "5           5       25.29  4.71    Male     No  Sun  Dinner     4\n",
       "6           6        8.77  2.00    Male     No  Sun  Dinner     2\n",
       "7           7       26.88  3.12    Male     No  Sun  Dinner     4\n",
       "8           8       15.04  1.96    Male     No  Sun  Dinner     2\n",
       "9           9       14.78  3.23    Male     No  Sun  Dinner     2"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Delete the Unnamed 0 column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\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",
       "      <td>4</td>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>239</td>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>240</td>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>241</td>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>242</td>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>243</td>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del df[\"Unnamed: 0\"]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the total_bill column histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist = sns.distplot(df.total_bill)\n",
    "hist.set(xlabel = \"Value\", ylabel = \"Frequency\", title = \"Total Bill\")\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create a scatter plot presenting the relationship between total_bill and tip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1109fca10>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot( x = \"total_bill\", y = \"tip\", data = df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create one image with the relationship of total_bill, tip and size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1a25485310>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Present the relationship between days and total_bill value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25017050>"
      ]
     },
     "execution_count": 13,
     "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.stripplot( x = \"day\", y = \"total_bill\", data = df, jitter = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create a scatter plot with the day as the y-axis and tip as the x-axis, differ the dots by sex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a23958910>"
      ]
     },
     "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": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot( x = \"tip\", y = \"day\", hue = \"sex\", data = df, jitter = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create a box plot presenting the total_bill per day differetiation the time (Dinner or Lunch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25be5d50>"
      ]
     },
     "execution_count": 15,
     "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.boxplot( x = \"day\", y = \"total_bill\", hue = \"time\", data = df )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create two histograms of the tip value based for Dinner and Lunch. They must be side by side."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a25d17c50>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style = \"ticks\")\n",
    "\n",
    "g = sns.FacetGrid(df, col = \"time\")\n",
    "g.map(plt.hist, \"tip\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create two scatterplots graphs, one for Male and another for Female, presenting the total_bill value and tip relationship, differing by smoker or no smoker They must be side by side."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a25e6b7d0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EVJUVqm899thjLFiwgEsuuYQHHniAd999l+3bt/PMM8/w3nvv8bWvfY3nnnuOeDzOV77yFRYtWsTPf/5zvvSlLzF37lweeugh7rjjDr71rW8BsGLFCt5//33uueceEokEv/rVr7jvvvsIBoP8/Oc/54knnkAIQSwWY82a3lsjnvHg6zgOW7Zs4c9//jOBQID/+q//4vHHH2fBggWpcxYvXsz8+fPTXldRUcGiRYsyXVxF6VeqLvSu7vZKuxJQS4cEqA/HU+8NKitUbzrzzDO59tpree211zj//PPx+Xxs3bqV3Nxchg4dyqhRoygqKgJIjRq99dZb/O53vwPgoosu4oEHHgCSj0F/+tOf8sc//hFd19m5cyc7d+7kiiuuACAej+Pz+Rg9ejQTJvTu3IGMB9/CwkKmTZtGQUEBAOeeey5vvfVWWvANBoMEg8FMF01RBhxVF3qmbW5nraoUf/6YtHM60yvtSkAtmzGa+5/alnrvaNxWWaF60ZQpU3jiiSd4/vnnueuuu5g/fz4ejyf1c13XD3uNlDLtvx3HAcDr9fKzn/2M22+/nRUrVuC6LhMmTODBBx8EIBwOI4Tg2Wefxe/3H/a+PdHppUYNDQ2Ew+EeX/Azn/kML7/8MqFQCMdxeOmll3q9RaEoitJebuez5UZyw3vSzutMr7S9NIt1jXHqw3Gu+c0LLF2+ObXNnsoK1bd++ctf8u9//5vLLruMr3zlK/zlL3856msmTpyYGjJ+8sknmTRpEgDFxcWcf/75lJSUsHLlSk466ST27NnDrl27kFJy00038cwzz/TJ5zhq8N29ezcLFy5k2rRpTJkyhcsvv5z9+/d3+4KnnXYaV199NZdddhlz585l2LBhLFy4sNvvpyiK0p72cjsH83I4Jfp6l3MVtw2oApHqTbW3z+3EsYUsWXwmd107myWLz1SBtxddeumlPPzww8yfP58VK1bwzW9+86iv+eEPf8hf//pXLrjgAp577jluuOGGtJ//4Ac/4J577iEej/OLX/yC6667jrKyMrKystJGZXuTkK374+344he/yPz581m4cCFSSh555BHWrVvHn/70pz4pUEfKy8s555xzWLt2LSNGjMjotRVlIFF1oXPK7/8+elYeQojUMSkl4doaVmZdSkVthNKC7q3BXbp882HD0JGYRV62lyWLz+y1z6Acu476zDcajfKlL30p9e8rrriCRx99tE8LpSiK0lMd5XYOlgxnycKeBUg1o1npqaMOO48ePZrXXnst9e/33ntPtbYVRRnw+jK3s9rnVumpo/Z89+/fzxVXXMG4ceMwDIO3336boqIi5s2bB8BTTz3V54VUBj+Vbk/JtMCoCXDulWmznfMmz+mVdJNqRrPSU0cNvtdff30myqEMcD0Jnlt31nDPitdpilrYjqS6PsLu/Q1855JJKgAPMG2X5uT0UrDqL53J7dydz9wyAWv1ht09enasHL86HHbetWsXAFlZWe3+OfPMMznzTDWx4HjQkhWoPhxvd2bn0Tz07A7qQnFcV2LoAteV1IXiPPTsjj4uudIV7S3NqX3+ASJ7t/d30fpMdz9zWmNUBV6lGzrs+f7yl7/kD3/4A5dccglDhw5NW6QcjUb597//nZECKr2noxb+0Xq1Pc1Vu2d/CEMX6LqG7UgSCRfbdXlnTx1bd9b0+pfWsdZ7y5TWS3OA1ESlxi1rBuzvr717F+j0KE13PnN7KSqX/f0N8nO8xOJO6ppjzMqM3Yd9+VhHPTLqGx32fG+//Xbq6+sZM2YMK1euZOXKlTz22GM88sgjKuPOINRRC3/7xo1H7dVWHIzg96a307o0s1OABGxHEo3buFIiAInsUg+6J5/zWO699RarvhLhSc/iIzx+rPrKfirRkbU3IrPs729wz4rXOz1K053P3LoxKoTAcSS1DTH2VTamrrnm8X/w0er7MnIf9nRkqr/eeyAqLy9n3LhxbNiwIe342WefTXl5ea9eq8Pge9111zF16lR27tzJtGnTmD59OtOmTeMzn/kMp556aq8WQul77SUc0EwvNZueTvsiCfhMfB6d1Rt2p17b05mdJw3NxXEksbhNy4pLCe1eq6c6+pyNW3ovIfqxyswrQSaiacdkIoqZV9JPJTqytkEw4DNpbErQFLWOeD+31p3P3LYxWlkbQdcFtiNT15wkt3Gwyc3Ifdje76G36lVfvvdAZZom//M//9MrGR2PpMPge//99/POO+9w8cUXs2PHjtSfbdu28etf/7pPC6X0vo5a+J5Y7VF7te2l1uvKzM7LPjeeglxfcrlHc6/XY+gML8rq9bWRg633NpD05dKcvtDeiIztuNhOet6gI91j3fnMbRujcctBAF7zUE7hPBmiyUrPMdxX92GPR6b66b27a+vOGpYu33xYWs/eUlxczPTp07n99tsP+9nvf/975s6dy7x581i6dGkqR3R3HHWdb9t9D5XBqaMWfsJXcNRebU9z1U4cW8i3P386+UEvXlMnJ8vDicNyCGZ5e31t5GDrvQ0kgVETKDj3ytQwqZ6VR8G5Vw7Y573tjcgYuoahi7RjHd1jW3fWcPcLTTxcexrv17iEa2s69ZnbNkZ1LdnrLS441OirF0GyzPQv5t6+DyN7t1O58g4utx9leu0qiuMfpn7WW/VqoK1nztQw+JIlS3j55ZfThp9ffPFF1q1bx8qVK3n88cfZu3cvf/vb37p9jU5vrKAMbh218AunXtCpXm1Pc9VOHFvIdZdNZnhxNsOKspBS8u7eWt7fV09DONFrlWew9d4GmsCoCZQsvJ4RV/2KkoXXD9jAC+2PyORkecjym0e9n1t/iUfzx7DGO4ffxS+i6rSjNzbaNkZHlQbJD3oxdC11zdfFqQzJ0vrsPmw9tyFYWITXbmJS6F8UxT7s8sjUkfR01Ku3ZWoYPDs7m5/97Gdpw8+bNm2irKwMv9+PYRgsXLiwRxOPVfA9TnTUq5kwfXrGdmBp+dIC2HugESnhpKHBXp14Ndh6b0r3tTci8+3Pn853Lpl01Pu5p1/irRujv/jvmYddc8788xlednWf3Yet5zYEs7yUDh2C1D2MDm3p1To80HZoyuQw+MyZM9OGn13XPewc27YPO9ZZGd/PV+k/HSUcmDi2MGOVaeLYQvI2eBk7Mi8tKT10funS0XQmsYJybOjo3j3afdTbuZlbytGyLOf+J7c1L8u5sk/qllVfiZ6Vl/p3MOAhZ2QxTlM9n+vljR0y+f1wNF3ZV7k3LFmyhHnz5lFdXc1Xv/pVnnzySb74xS9iGAYrV65k6tSp3X5v1fNVMm4gTuJQji998Swzk8tyjte5DZkeBm8ZfrYsi9mzZzN79mwWLlxIWVkZw4YN4/LLL+/2e6uer5JxmW69KkpbZTNGc8+K19lX2YjtJDOvZflNFn3ulG6/Z0+T0XRFzuQ51D7/AJCcRS0TUVwrTt4xPrehr9N6jhgxgnXr1qUdmzlzJu+++y4A3/rWt/jWt77VK9dSwbefHM9ZmFRSeqUvdCUTk1b1Hhe7/yTHbOCgnsNm5+McFKN6dP1MbjPYl5tGDHQDaRi8J1Tw7QctMxU105uW/YYOJmQMhEDdmynmVFJ6pbe1l/Lx/qe2tTs5KLJ3O9GX/0JQN3A9uZTIBPPlf9jgDfSol5rpER01t2FwU8G3H3Qln2xXA3Vf6MoXW2cdK61XZWDoypBv45Y1RGwdTC8IgSW84MIn7Ld4snZot8ugRnSUrui34Hv77bdTV1fH0qVL+6sI/abtTEXoOPtNe4E6HLPYtfIhHue8jCQ6z+SzLEVpcbTRltYjQpOqBLuDk6nmhNTPOxryteor0Tw+LEeiNyfksISHLLue0qLu91LViI7SFf0SfP/973/z+OOPM3v27P64fJf0ZMi3o9eaeSU4TfWpHi90PFOxbaAORRLsq7HI1kLkF3avF9rVIeRMPstSjk+Rvdupe/FvWJV7kYCVM4w1oVMpZyj5kb2MD22n7sNGXisaxvg5lwBQvfp/kbEmpGMzUkJRwz/YLM6nypsMwLnhPcyWWym/f/Vh9a/YqWbfQRtw0TWB5sSplzmUzRjN9o0bqdn0NJ5YLQlfAYVTL2DC9Omd+hy9PaKjdhQ6dmV8qVF9fT133nkn3/zmNzN96S7ryQ45R3ptV7IwtV1SUFUbwavZRIy8biUH6M5yiIGWYk45tkT2bqfmmXuJH9iNhOQuWAf3cHZiHWMbt3CetokcLUqj9FNbVcVHq++j5tn7ccP1ya1OdROPIfDLJsbUvMC2XTXE9m7nU03rGZrttFv/ArrLyCEGpi7AiuHTbEbMuhit6j1CLzyInghjGdnoiTChFx5k+8aNGf+9HG87Ch1vMh58f/zjH3PttdcecVvCUChEeXl52p+KiooMljKpJzvkHOm1XcnCdHigjuIVFu8GJqXO6UovtDuZfQZairnjyUCpC32pccsa3GgYTTcQuoHQDGyp4ZUxPm1uw8IgITxoQhCTHg42udgHy0HXEZqOEAI0HQeNoVodQgimGm9jYYDp77D+5Q4p4sR8GDduFB//4n8zYfp0ajY9jaN5cA0faBqu4cPRPNRsejrjv5fjcUeh40lGh51XrFjB0KFDmTZtGo899liH5y1fvpxly5ZlsGTt68qz2a6+trMzFdsuKZC+HDZoEwl5Dz3b6kwvtGX46tUdlWT5TIoL/ASzkkPJRwve6llW/xkodaEvWfWVuI6NZhyaJSyEhiZtsoSFkC4eHBIY1ItsmqwAIJP7UjZLWA4aAqHBhNFDGFoTJSz9VNVGCAY8yffsRP3zxGqxjOy0Y67mwROr7f0PfhTqcU9m3XLLLdTU1HD33Xenjr388svcfPPNrFq1iuzs7CO8uusyGnyfeeYZqqurueiii2hoaCASiXDbbbdx0003pZ23ePFi5s+fn3asoqKCRYsWZbK4XXo225uvbav1F0Xdzhr2PLUNX8zq9IzK1rOVA16DmOWwrzLMyBI6vbOQmp3cPwZKXehLESMP2zqATMQRmo7H1PEYglgchJCY2NgY6DgUi3qahETzZuHaVnOvV0O6DgYOB41SAMJ6Lj6niUji0HU6U/8SvgL0RBhX86WOaW6ChK+g9z5vJ+eRqGQ07eurpZfXXXcd8+bNY+3atZxzzjlEIhF+8pOfcNttt/V64IUMB98//elPqf9+7LHH2Lx582GBFyAYDB5xWDpTepJFpq8y0HSnF/rws+9QVRvBcSWaJnCb/66qjWLomhpCHsAGSl3oK1t31rCmahTnspsswjguxOMOXh10TVJr+8nRLDRcXAQSl2y3kdwZl9H42j9wo+HmIKzRhJ+3smcA8G5gEpNC/yLLEEgpkYkoTeEm1kdPZ9tvXuhw8lLh1AsIvfAg2Mker+Ym0N0E+VMv6JXP25Wlg2rp0uH6cullVlYWP//5z7npppuYNm0ad999N2effTZTpkzhzTff5Be/+AXxeJyCggJuueUWhg8fzn333ceqVaswDIPTTjuNn/zkJ52+nlrnewQ9ySLTlxloutIL3bqzhvf21WEaGqah4bgSpEQXgqaYRV62Vw0hK/1m9Ybd1AdGsVl8jk+EN5BvV4OEGr0Iw2kk4skjZkfII4xH2DjCQwST/CkX4C09KVW/bCOP56tGUSuH4peSPXIoIX0GFxfvxWmqJ2Lk8UTTeGoDJeQHjQ5XCUyYPp3tkDbbOb8Ls52PpnHLGqTrYNVW4NpxNMOLlhVsd42/etxzuK7kSOiO6dOnM3PmTG688UZ2797NihUrSCQS/OhHP+L//u//KC0t5YUXXuDHP/4x9957L3/84x958cUX0TSNG2+8kerqaoqKijp1rX4LvgsWLGDBggX9dflO604WmbbDIkfaSmzrzhoeenYHO/fVYzuSkz2VnJe7i1HZcYIlw9sdUmlv2AVodyimZdKG6yYfkOmaAFNHAJ86pYQlvbwDiqJ0RctzzSpxAs83z2OQUlLXGGe+/k88iTCuP0iI5t5/IkqD4+WaVO/1SoBkHaqtx66qQ9MEPo9GXaCUxziZslmjm4N8HNtx2VXeQNxyMHTBQ8/uYOnYs9LKNGH6dOilYNtWvGoPdrgeTdMRuoF0LKz6KqRttXt+Xz/uGQjZ87qiJ/NwOmvJktG9+64AACAASURBVCXMnj2b3/3ud/h8Pnbs2EF5eTnf+MY3gOT9GY/H8Xg8nHrqqXz+85/nnHPO4Wtf+1qnAy+onm+v68qwyNadNdyz4nVq6qI4rmS0UcFczxasiMEHlo8TjWqsNq9t7/1rnrkXKSVmdv5h12xZH1he1QSOi6YJkJKE7R7Xw1dK7+ruetSW55q241JVG00FxZElORROSh8Cxo4j7TjbPJ9KLb1Z9vc3iMUtIjEHU9cQuMQTLnFgaOGhHm4kapGTZVJe1YQmwNCTj1927qtn684aJo4tzEggkok4AkDTkwc0HeE6yESsV6/TGQMhe15X9eZcmo5kZ2cTDAYZPnw4AI7jcOKJJ/L444+n/n3w4EEA/vCHP/D666/z4osv8tWvfpXf/OY3TJ48uVPXUVsK9rKuLE9avWE3TVELV4IQcJb3XRLSIIYH25FUNcrDXtve+7vRMDLW1O41S4cEMA2dkSXZmIaO7SSf944dmXdcD18pvacn61HLZoymNhRj74FGLNtBCEhYLnWNcdzikwnO/jKOJxvTDtPgeNnomYlVdDJCCBxHUlUboTaUwLZdJOA4IJrnNVTXxQj4TBzH5WBDjJ37GkgkHCQiOVFLCDxmculOT9b0d4npSa5jdp3ks2jXAdF8PMN6spSyv3QlR0JvGTt2LNXV1bz22msAPPLII9xwww1UVVVRVlbG+PHjueaaa5g6dSrvvfdep99X9Xx7WVeGRSoORrAdiUQigCFaIyHpR0qwHUlDU4Jwvp9Aq9e29/6uYyMQhCIJqmojxBMOXlOjJPARZeeNTs10HjMiNzVpoydbpylKaz1JPzpxbCFDgn7CEQvHlXhNnZLiALGEza8f3kJeto/SIRdTNmM0jzy5jfygFwE0NiX4sLIRx0k+TnGlJBp3QCYbl44riVsOjU0JKpuX5kjAkZJo3MJrJtcHjyzOpqI2QuOWF/v0WWILX8lJJA5+hBMJIa0EwvSgBwrwDBnea9forEwM4fa2/tjNyefzcdddd3HrrbeSSCQIBoMsXbqU4uJiFi5cyIIFCwgEAowePfqwlQlHooJvL+vssEhk73bm8080Xw3VRjYvx8dx0M0mS8SI40GIZIO4oqKW0uGlR3x/TTewHZd9FY1omsA0NLDj7G7wMQzUpA2lT3VlPWp7w9PRuM24UfnJ3iikAqaUcNKwQz3plhm/jiORFe/wRXMHBcEwB51sNiTGs9sZigu4EnQh8Jp6MvAKQZbfwHJcYjEbV0psRzJmeBBdFxRme3stEB1t6LplFYSnYGjaKoi+7Ll1JBNDuH0hE7s5td3Td/LkyaxcufKw86666iquuuqqbl1DBd9e1pklRi1DXEOzNfZEs8gRUS7yb+GV+GjO9Caz11jCQ47p4BE2L8bGcfIR3l/zZxNuSGa+cjUvpkxgCJstvkm8vmE3Sxaf2WGwHWwTLpSBp7PrUdvbHWvN4//gArmNnJoGIkYe7wYmsbM2CELg9+ipzE4AkuRErNzGDyjzvkpcGoRcP9lajAv9W3gyOpn3rdJk79fQKMr38WFFGE0TFBf4AdhXGUYT4LjJTRValu6YbyYDUaNjpEaPsgybguLiTv8e2j5DTRz8iMoVt6NnBfEWn3iobg2QfXj7ajmk0jkq+Pay9ipX3dDp/OWFJioOJmdoLuA5sk0vwewAxXaE/TUS14UxRhVPRCbzmaz3KDGbiJr5bPNP4t1I4RHfP2/Wpfzt0deZLLaT4zQQ1nN5NzCJBs9I6o6QDWcw7iusDDydWY+6dWcNv354C01RG7/XoLjAz1ijkknOBixMwq4fr93EJxv/xW7rDPYyjNOCBzmjbj3ZTgONei5b5ATIGcXU+DvEpUFcJp+Ttvw90/MOu52hjCzJIctvEEs4ZPkNsv1mKpvbyBI4UNOEhLRldhFzDh+tvo+KehtH8xDQLIRj8UTVKOY0T8g6mtbPUO1ICDtUA1LixqKH1a2BUG8GUkPgeKSCbx9oXblaWvu2HU3tzuIa+6gRHuoJErJNBAKP5jJOr6BQDxP3FrDBPIs3Q0OIHrTxmFGW/O4lYnHn0EzShdenXdMtbuKf4VHpvY+YdcRsOINtX2FlYDraetSWWf11oTgIsGyXppjF53Oeo4B6BC5CM2ggSNjxcZbvXfJNLzPiGwknNA64Bl5RzxSxnq2Rk/mYvh+QxF2DWjcLgAItzAnGQb6dvZGh0y/ELT6Z1Rt2E43Z1DQkZxIX5QcwdI2i/MBh63sDoyawXp/BKGMLeTKUasB6Eg61T/6G8lwL4fEls1pasXYbn62Hru2GahAaQteQTiJVx7r6DLmlwRur/ACsBMLjTetF97RBPFAaAscjFXz72OoNu7Fth6zQB5zn2UzcNYi4Jh5hMUTUYslcEFCi1WNLnQbXjz8W4lPx9VQ5Z7JTlhCNW+wqb+CE0ux2kwNE9m5nAc9xsGEf4aY8dmadwV6GUhuKIRCt1kSmP+vt6b7CLcdV5VWOtB71oWd3UBeKowmBKyUIyVR9O4WyFikEEoEmXfJkHUPyh5GQDlrdVkKWICaTjcm49OATcWZp/8GWGhoSQzgM1+uQgIsg5hqYVpj6fz3IOqbSlDeGYUVZeEyN6rooCdtl9LDcDuc8bGsq5KOCi1LPnovjHzIj/iJRx4D8LOIHdicnJheObLfx2foZqrQSoBvgumhGstfd1WfILQ1e6di4kYZk4E9EEcZ+ap9/gPips2jatl41iAcptdSoj1UcjBBqsphu7MDCICpN6mQ2gmTauwI9TKEWAgm1BNE0QdT1EJcGMz3v4DF1vB4DQxfsr4mwv7qJj6rC/PrhLWzdWZOqoNkiypDSEnJElNMb1lFqlSOEQCI7XP7RdrtCOPK+wsLjTzs20GdGKgPDnv0hDF3g9RrJNXUIzvZuxwVAoGkaCA0QOPWVBEuGU6iHU4EXki8LanF0JDVODsmzQRMuhnARCGplkIhrEnM0TnO2pnYDKsoPcOKwIKOH5R5x/kPbrTPHRV4nLk00rx+noQZNN0A3sEPV7S7Lab0MRpgecCykdDHykokXujqZqaXB60RCIHSE4UHTdNymEJrpJbRp1aBbKqQcooJvL9u6s4alyzdzzW9eYOnyzfi8OtG4TYHWSJzkl0nE9VHh5pKQBj5hoSE54OYSxYcQAgF4/QFKPRFcV6JryR5DU8SisSlB3HKoCyUTDJS/8ESqAgazvJx4QgmjRhQyyd1Kfo73iNuR9WRfYRgcMyOVAUAkl/kYusDvNdCEIKAlSEgDrXlWfwvp2jxVcyL7Y368wkLQHK8BLzZxdCIyWX9sqaEjEUgq3DxiwocrJTFpkkdjWhE6sxtQ260zA3Y9cdeguCCAa8ehuZEgreRuDW0bn623ChUeHwgNI7cIzZfdrfWoLQ1eaSWaGycktzm04wiPHycWVg3iQUwNO/ei9mZz1jXGkUgOujkEtSg2JhKI4afG1Qg7yd1TskUMmUy7jK4LNDdB2MjFa+rJJRJxB0nyS0wTAiGgtiFGHeXknDgirRzC48cT24c/mP6/t+0XUFcmXKiZkUpXtSwrchxJwnKaR3F0hFcnKr34NRvd68W1EiAdpIQoPt5sLMATH88836sAxKWJT1g4CBrdAKapoZk5HIj70WQVADHhaw7UAg8J6slJK0tnd+5q/ew65slnZLZDMOAh3uBFOskUkKI5IUZ7jc/Wz1DbPo/t6mSm1DC26UE6Ngg9NYwtE1F0X3ZyGHqQLRVSklTw7aTOpM9reb67vyFG3HLwmjrBLJOhQ7LZ1HAKc83N+DWIuQYeLLJMyT+bTsFxJRf7t6AjcAwvpTk6TeEwW4xpFOf72VvRiNtq71IJ+DzJ9HQV8QAj26mACV8B0bh91OUf3d1XWM2MVI6kdUN0VGkOu/eHSFgOruvi9Ri8qp3OufqrSNdN9hIdGzthsUn7JFV1UWw5lCcikznL+w5D9ORa3jes05ji2c2woI4vO4uKilos6cN2JV4SxDHJ0mwMXDYykUgXtt1s0frZdWRvEbXPP4Abj6DnFpKo3ocAjPyhqZ7skRqfPZ3M1NLg1QNB7FA10k42wM3gEFwrTnDqRTRtWw+oBvFgpIJvJ7TXo2096aklMG/afgBkMmWdaQgs26G63iE328PXF1/MK2vzGFm7mSLRSKOWy8viVMy8EzGQvBLJYor+Nif4ogRLSqkZOp3Y+wZ2bYSxI/LYvvsgiGSv1+PRMHQNx3H5t3MKn7TeBdIrYOHU+cReSQ6P9dZ2ZGpmpNJZbbNejRmey0fVYVwp+cTYQqbPWEzBwXGENq3CiYXRfdm87HyS9dHx2I5NwnLZRSm77EMJZvwejUmnn0GJvRWrvpLS4aW8GBvHgZomTne3UqA1YvuHkDf1Ai5unu3cMvv6lBMLWL1hN/c/ua3TuadbGpx1L/4N++B+BBJ0EyfWiFlyUp83Pls3eF070Tzb2YenYFhqVnPrnZ1Ug3hwUcG3E9pLn1dqlVP75D953xdlf4OJzz8JTWRzgrafT5vvUmiEqZc5bLBOodIa0dyi/jzweQB2rH6EkreewVMfJaH5MT4xl1PKbktdswSY0GpjlSW/e4ld5Q0IkdzvNCJtBBAuOYmCc6cdVgFHjJrAVcU1KrMVan1ypq1av5NN2ypwXIlpaJQOCZDlM5FSEo3ZvPFeNfXhOIs+N5WJ3zu0T27V8s00vV2JZbdMxUqO8rQI+E1KJ3ySkrGfSx07mY61Xup0pMbz0chEDE/xCYdlpMrEPXS0Bq9qEA9eKvh2Qtv0ecXxD/lk8xKEStdHlogxI/4SrucEzjB2kZAGDY6PLC1KmbmZ9bqZ9n47Vj+C9sZKDHRsTAw3gfbGSnYAp5R9sd0yLPrcKdzx0KvUNyZ7s5oQaAIsR7LLKjls3S/0/XZkg4Fan5xZq9bv5M9rdiABXUtmkiqvTGaZct1k3mUhYFd5A/eseJ3vXDIpdY+WzRjNpm0VqfdqHXgF0BS1uxQ0W/Qk97RaYqf0FTXbuROOtAQhbrm4uhdbmHzGux0bkwQepBQkhBcML5/2v5v2fvZbz+CgYUkNW4IlNRw07Lee6bAME8cWMqwwhyy/ic9rEMzyMGZEHvk53rQZzEq6wbhzy2DUMsv/T0+/je24mEZy/W5ysVsyCAsBXo+GrmsYuqApaqXduxPHFpKbZbb7/hJI2C7VdREeenZHl8pWcTCC33vkyYcdUUvslL6ier6d0DZ9XsCuJ+z6GVkQoKo2gmW7eKRNjojg0RNY0qSeHKQnC8sRnOA7tERn684aTCdKTBrJJRbNyygsqeF1o4dfvJW2CeghubFzZ75EjleDceeWwab1sK4rkzt0WbbENASOAy19WJ9XxzSSEwU1TWA7kg/2h1i6fHNqIuOwohxc2Uh9OHHYddrbg7czEyE7m3u6PYN18wFl4FPBtxOOtAQBoHp/FXnU4qIhhYaOQ7GoJywM8goDSG+Qpcs388H+EA1Ncb7v8eAVFg5GMmuNAB2HqPQesRw9+RI5Xqkvz77Xelj3ZE8l080dDNHC1Lo5bBET2N5UiOuSTKbRzHUlSGhoiqftA1wbihFLOHhMDcty04aepUvaHrxApyZCttS7wlwfRfmBLk0+VEvslL6igm8ndbQEIcfvR/OEcRKSenIJigiGqaNrgoDWiGUbPN4wivpAnEjMwpWwNjaBef7XARsHHV06GEKyQZzOpCOUoTMJ7JV06suz77XMiSiOf8i5Wa/RaAlCrp+AiPI57RVixmQOGCOwbBepC07SDjDF2EGB1kjEyGOPmEyVOCHVqKxtiJHlM4kIm3jCAZK9Xsd1cV0ttQfvkZ7lwqHA3JUUk22pJXZKX+mX4Lts2TLWrEk+c5s1axY33HBDfxSj29pWSEOAb9hJ5AaCyd1MGqqRVgLpuqzXZ1AbKCHgM0nYLh5DY2NkAkLAOd638WtxIq6XTcYk6obNPOJ1j5bAXjmc+vLsey0jMuOiryNML5rQIeGQkB5MzWbRqP2Y5y7g4WffQVa+w1xzM8L04ToaI+RHnFi7h31uES/KT2LljcYwNIYVZRHwmezYU5vcg9eV6LrGCSU5qT14j7SPcNvAXJQfYIxRySR3K2NsC/PNEiJm5+6DXVYJq8OfpqIhQqkRoMwqYWKf/CaV44mQUsqjn9Z7Nm7cyN13382DDz6IEIKrr76ayy+/nM9+9rNHfF15eTnnnHMOa9euZcSIEUc8ty9s37iR0IZHyU1UIoQgkT2MV71T2dZUSJn9D3KdOnLcBjw0Z8ERGk5wGDd+dC62nZx0IpCYho4QEI076Foyv7MmBEUF/rSZn5mkluIMLn1dF9o+Rz3lxAJ27KlNe646xqykccsa4lV7SESj1EclAaJUubmE3WTWNl0DjxthqNaAg0BHYmgOQujYUgfXxkHgEQ4giUuTNdHT2OyeSkGuj4/7a/h47HV8iXpq3Rx25ZxBte8EakMxvKbBvsrGZBpIv8mIomxysjxEYhZ52V60qvfSttiMiACj4ztAOrial0bXi2Ga+GdezoTp04/4u2jpQbcebfraFA95u9ZgVe5FAp7iUeTP+pKqN0qnZbznW1RUxJIlS/B4ks9Lx4wZw/79+zNdjC7ZvnEj0RfuI182IdFxJJgN+zhdq6XedzbbGvMo8+5EF4faMVK6yIZypmjbeEl+HE2AKyGWcNB10ASAxJXJiSitJ1FlklqKo7TWdk0sFe8iP3idT5tNxLwFvFX3CdY8/h7zs/6DzxTY4Xp0IKi7WJakWNQhRQGNjge/jDFcr0cXLlJqmMJBk+BKG0M4ICQGNM+KTs6MnuN/k/3hAoKWh2kiuQuY48mhEIuS+Eu8os+iwiqgLtSEYQgsK5nzfPdH9QwrykbXNeZ9zCZauZGYYxDVs8hx6hhpv4+FRkIaGK5NnrAI2TmUr38Ct/jkDhu9Ha3xt15cS1yLIjQdBCQqdlO9+n8pKvuWqjdKp2Q8+H7sYx9L/feePXtYs2YNf/3rX9POCYVChEKhtGMVFRX0l5pNTzNExrGljtOcJV6i4ZUxxkXewDGSWZelbE4MIJI5mkFwju9tXk4kK6MmmpddOGAagmy/h5KCQKrF3pl1h71NrWMc2DJdF1oHm+L4h5yaeImYZtDg+slzI8yIv0RMGhxsEgw1m9A0HTQdx4qDJtCBQq2BRqeQQi2ELlziUsMUsnkLhORsaCFlajJVy5aANjoeHM7yvoOBhtQ9nHzSoYlxbjxComYrm62ZGIaGrgl0zSGecLFdSWMkwXWXTabwzQdoyMuh4aCN5kp8bgSQaFKiCQ00gStdAsSQovGI9a69oe1P2G9hOFE00wBNb/4MAhlrUvVG6bR+m3D1/vvv841vfIMbbriBE088Me1ny5cvZ9myZf1TsHYY0YMIaeNgpLLuOAhMXHJlCIlEI/kFktrCBRC4BEQcv9cgkXCwXYkmwNQ0TvtYYVpvt7PrDnubWoozsGW6LrQONuMirxOTRvO6dbA0L7blUuBU80G8iDyzCcPjxXBtdBnHRJLAg45DUIuiCYktBTYmXuK4CFwkOjQ/hkkSQELqaEhi0mCIHkaTcDAaoGn3QbweneKCADn+5IYhtuPiMZNBzzR0DF3DdiR5OT4mji2kfH0lOcE8RpoWVbUR9JiFRKCL5CMeSAZLUyZoMoYfsd61t8Igy67HwAHNc+hEoSEdW9UbpdP6Jfj+5z//4bvf/S433XQTZWVlh/188eLFzJ8/P+1YRUUFixYtylQR09S6OeTQiMBNLicCNCSO1DjoZCORlOr1CFwOfaUk2/hNbvKLLOA3cBwXTROYhtapTQ8yQS3FGdgyXRdaB5tsp4EakQy8mhDYtkPU0sjXwItF1NHxRKNI4SAEuGhogIOW2hRhrFGBJlzcVMINQXL+8qEgHJc6bvMz4Trp5aCTjRCQq8cxDQ+W7bKvopGRQwwSvgKMqIbTvNUmJJctGbpI1Z+WezoYCCR3JDpQixOP4NgJhHSRaOjSwRUabxmfoDS/43rX3gqDepnDEE8TyfVTyUYA0kXouqo3SqdlPMPVgQMH+O///m/uuOOOdgMvQDAYZMSIEWl/SktL2z03Eza7H6dJejGFg1/EyBIx/MLCkhovxcfxYmw8jY63+ZfpkuwDJ79o1sY+TiRqJXu+jiTLbzJ/1ti0fUMjMavflgx1ZU9fJfMyXRda72nbqOeSpTtImQxuccvFi8V+Jx8Tm0bXh0fYND+HwZYCCYRFNp/2vcNL8fFYUscvLPTmZmuy0SpoFDnYzXvUekUye1yNG0Ci81JiPButU8gyJaZMoGsCr7AI1TdSOPUCcrI82LaL7bg4jpuqVy31p+09rWUFk5siBAqwEegygRSCVz1T2COHHrHetawwyMv2UtcYJy/by4hZF+PJDuI6NtKxka4Njo3wZal6o3Raxnu+999/P/F4nKVLl6aOfelLX+LSSy/NdFE6bZ8YxkbrZOZ4XkcXyS+YhNSxpI4L7HZKeSh6Fhf7X2GoHkIgieLlNe+ZvB4/GaFZJGyX8Sfms+hzpzBxbCGjh+cNiCVDaimO0lrr5WxbIhM429hIXraXUEIQbQrj1Rwei3wSKeEs7zuU6A3JfaiFICE9JDx5hG0Pw/1R8kwPlmsSlxYeYTdndBNohg+/k6DaCZKQOoVaGFPYxKWP561JfCSGMqokhzfMPMZFXifbaaDRyGWjnMAN06fz7eIaHn72HT440IAExozITdUrOPye9hQMI/sTZ5MofwcqP2J/zM8rzsdxi07mqk7Uu/ZypEeG51L34t+Ss50leEpHq9nOSpdkfKlRd2VqqVF76eruefR15lr/IEdEiUkPTvPmul6RIEqAv8RmYzYn1giFEwgNTh6ZT05W86bbUlLXGOeua2f3Wbm7ozOp+ZSBp6/rwvaNG6nZ9DSeWC2O5kEChpug2s7ipfg43okdGlq9MusFsrUYhnAp0kJkGw7SdYnh5aAowGNqFBTmp7LBufEIkZoD7I8FMIRLUDaiSwsHDU/hSE7+xlKWLt982HPW6roIjZEEedk+da8qxwS1sUIrLcssWqe7u/+pbRTk+ig2wsQxU4EXIC5N8kQotdG9ZbvousDQtFTghYGZArKjz7p1Z01/F03pR9s3biT0woPoiTBRkUzFKBMx1jGNB8Kz0gIvwEvx8QRFhOFaLX6RwHVdXCQGFqWyAte22VfRSCiSzNUsPH7caBgDhwJZh4aDK/TksHDNB0T2bk8b+pZSUl0X4UBNE9l+U92ryjFDBd9WWi+zEEIQ8Jn4PDoCQaOWixcLIZJTqoQAn7CodbNxXYmpa0wYPYQRxdmYptbj57ktu8Rc85sXWLp8c69/0XT0WdUOSce3mk1P42geXMNH3JZYwoOFwcfjb+L1Hv6UapddSsgNIIQEIXClwMKLI0wEkCsb0DRBVfOMYpmIEsVLHg3JmRFCSw5FC0ECg8Ytaw57ztoYSVA6JEBxQZa6V5Vjhgq+rbRsPdbYlGDnvnq27z7IR1VhakOx5CQLYeMhAULi1yx8msNL8VNwpSSWsInELHRd49LPjkuboNHV/Ucz0SvtyTZryrHLE6vFbV5C48rkNoBxTPK1RqTb/hMqr2Zjo5MQPqLSgxQ6EoGLwJQWPhLE43ZqMt/7wSno0kbI5EQtTbogXSJGfmqpzsSxhSxZfCZ3XTubvOzkhgitqXtVGezUxgqtlA4J8FF1mKq6aGpJUNx2sZriuMWn827xeRRX/ps80Ui9zOFf7scpFyXoIrmEKC/bm3oWddGs7pejJ5t/d5baIUlpT8JXgJ4I42o+NJFMf+rFos7NIW457b7moJNNvtaEIV2EEM3r3iWO8FCvD6FJ+Mk3QuhZw8ibPIdxVgmVj75DgazDwMbCpEHkUZyfhZlXdNj7D9Z7VaVtVY5E9XxbKZsxmuq6aHIdrwDHSabNKMz1sXrDbqacM5unzfO5J3Ihf02czS47ueSjeEiAH145he/OzqL4zQcov//7VK68g8je7d0qRyZ6pW2fq/Xncidl4CicegG6m0CzY3iNZCIKE5u3vadhO+33fF+KjycivQjp4NNBSBdNOsSFh83eqaw2z8e74BZKFl5PYNQEJo4tZMjsS4mZQaoopMFTQnFhNgHdbXepzmC8V1vStjpN9WlpW7v7naAce1TPt5WJYwsJZnmIJRziloPX1Cku8JMT8FBRG2Hi2EK+c8kkHnp2B3sOJFP+jR2Rx2WfG88Ys7JbOZLbm3GciZa+2iFJac+E6dPZTvLZrz9WS5M/j9c8p1EthxLMitLYlEhlpxLN+cp32aWsiExjXs5bnGSG0FyXGlHEi3wKN39Mu8t5JkyfTmR4bqueYVGHPcPBeK+qtK3K0RxTwbczwzxtz6kZOp2n3jdSwW9Irh+JTAt8kZiVCnwTxxaydOxZh127cuUDXa5sbZPYtzzb/cwZI/jXa+VA3+7b2976RUWZMH06tNrp59zmv7furOHWB14hFrdpyeSmCfCaOpXGCF4ZcTqfWXwmkb3bydmyhhH1b2JmV5BjZgGH32eBURM6HYgG272q0rYqR3PMDDt3Zpin7TkNB6sJvfAgvrpdqeB3MBSlrjHe5SEuq74S4fGnHTtaZetoxvGOPbWHZdXp6qQtReltE8cWculnx2EaOq4rk8+DDQ0pD2WYUsOtSWZeCTIRTTum0rYqrR0zPd/ODPO0PaeqUYLm4TT7LV4SJ6X1dvOyvV0a4upOjuQjbQY+2Fr6yvHholljGT08L5VhCuDEocFUhqnujAAdi3Imz0k+diLZCJeJKK4VJ0+ln1SaHTPBtzPDPG3PiSccTN1DttOQOub3GtQ1xlmy+MwuXb87lW2wzuJUjm8Txxbyi7Ez2/2ZGm5NUmlblaM5ZoJvZ3qebc/xenSwYoSN3NQ53Q1+3als7e2YMtBncSrKkahdsg7pyjNt5fhzzATfzvQ8255TnCM4WJNgizENKWWPg19XK9tgJDpXngAABrNJREFUnMWpKEeihlsVpXOOmeDbmZ5n23Nyh5RgnXoRsfcN6vop+Klnu8qxRA23KkrnHDPBFzrX82x7TgkwYXrH5yuK0jVquFVRju6YWWqkKIqiKIOFCr6KoiiKkmGDZtjZcZJJ3SsqKvq5JIrSfaWlpRhGz6qdqgvKsaI36sNgNWg+dXV1NQCLFi3q55IoSvetXbuWESNG9Og9VF1QjhW9UR8GKyGlbH+rkgEmFouxbds2ioqK0HW9v4vTLyoqKli0aBEPPfQQpaWl/V2cfjHYfwe90dJXdWHw3we9ZbD/HlTPdxDw/f/27i+kqTcOA/hzcs2uxJtZUdKFuqguNIr+gX9osIw5zXVj4EoUKpCiLhK1EC+ELMIpiRQU3Rc1o6EuCIvKcqDeNCRCdFmY1aJAzMna20V4/I0K9Zd7z858Plfu7GXv97ych+/ZPJyzZg127typdRlxYd26dSv2bHHOSl4DZmHeSj4O/ovroD+84IqIiEgyNl8iIiLJ2HyJiIgkS2psbGzUughavOTkZOzevRvJyckLD05QXAMCeBzM4Trok26udiYiIkoU/NmZiIhIMjZfIiIiydh841h7eztsNhtsNhsuX74MAOjr64PdbofVaoXL5dK4QnkuXbqE2tpaAMDw8DAcDgcOHDiA8+fPIxwOa1wdycA8zGMe9I/NN0719fXh2bNncLvd6OzshN/vh8fjQX19PTo6OtDV1YVXr17hyZMnWpcacy9evIDb7VZfnzt3Dg0NDfB6vRBC4Pbt2xpWRzIwD/OYh8TA5hunTCYTamtrYTQasXr1amRkZGBsbAybNm1Ceno6DAYD7HY7enp6tC41pr5+/QqXy4WTJ08CAN6/f4+ZmRnk5OQAABwOR8KvATEPc5iHxMHmG6eysrLUQI2NjaG7uxuKosBkMqlj0tLSMDk5qVWJUjQ0NODs2bNISUkBAHz8+DFqDUwmU8KvATEPc5iHxMHmG+fevHmDyspK1NTUID09HYqiqO8JIaJeJ5o7d+5g/fr12Lt3r7otEomsqDWgaMwD85AodPNghZVoYGAAp0+fRn19PWw2G3w+n/o4OeDXo+XS0tI0rDC2urq68OnTJ5SUlODbt2+Ynp6GoihRa/D58+eEXgOaxzwwD4mEzTdOTUxMoLq6Gi6XSz3Tzc7OxujoKAKBADZu3AiPx4PDhw9rXGns3Lp1S/373r178Pl8uHjxIoqKijAwMIAdO3bg/v37yMvL07BKkoF5YB4SDZtvnLp58yZCoRCam5vVbWVlZWhubsapU6cQCoWQn5+PwsJCDavUxpUrV3DhwgVMTU1h27ZtOHr0qNYlUYwxD3/HPOgTby9JREQkGS+4IiIikozNl4iISDI2XyIiIsnYfImIiCRj8yUiIpKMzZeIiEgyNl8dq6ysxJcvX/55TH9/P4qKihacb/PmzX/8rEePHqGpqQkA4HQ60dPTg3fv3mH79u0LfibRcmAWSG94kw0de/78+bKM+VcWiwUWiyXm8xD9DbNAesNvvjpVV1cHADh27Bh8Ph+cTifsdjuKi4vR2dn525iJiQn09vairKwMDocDBQUFaG1tXfK8ra2tKC0tRUlJCXp7ewH8utXdiRMnlmnPiJaGWSBdEqRbZrNZBINBYbFYhNfrFUII8eHDB5GbmysGBwejxkQiEVFeXi5GR0fVcVu2bBHBYFC8fPlS2Gy2Rc13/fp1IYQQr1+/Frt27RLBYFDcvXtXHD9+XAghRHl5ueju7hbj4+MiJycnBntN9DtmgfSGPzvr3MjICEKhEKxWKwBg7dq1sFqtePr0adT/mRRFwbVr1/D48WN4PB6MjIxACIHv378vab4jR44AAMxmMzIyMjA0NLR8O0P0D5gF0hP+7KxziqL89vxOIQTC4XDUtunpaZSWlsLv92Pr1q2oqamBwWCAWOKtvVetmj9kIpEIDAaev1F8YBZIT9h8dSwpKQkbNmyAwWDAw4cPAQCTk5Pwer3Yt2+fOiYcDiMQCGBqagpnzpzB/v370d/fj9nZWUQikSXN6Xa7AQB+vx9v375Fdnb28u4U0f/ALJDe8FRNxwoLC1FRUYGOjg40NTXh6tWr+PHjB6qrq7Fnzx51jNPpRFtbGwoKCnDw4EEYjUaYzWZkZmYiEAjAaDQues7x8XEcOnQIiqKgpaUFqampsdo9okVjFkhv+EhBIiIiyfjNl1Q3btzAgwcP/vheVVUViouLJVdEpA1mgWKN33yJiIgk4wVXREREkrH5EhERScbmS0REJBmbLxERkWRsvkRERJL9BM/PpZHjvG0CAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 490.459x216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid( df, col = \"sex\", hue = \"smoker\")\n",
    "g.map(plt.scatter, \"total_bill\", \"tip\", alpha = .7)\n",
    "g.add_legend()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}