seaborn_exercises.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b9b90665",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from pydataset import data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c2e29ba",
   "metadata": {},
   "source": [
    "## Use the iris database to answer the following quesitons:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bdb6bbd5",
   "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>1</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>2</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>3</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>4</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>5</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",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>5.2</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>5.5</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>4.9</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>36</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>5.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>4.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>4.4</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>44</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5.3</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.6</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>4.9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>6.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>5.2</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>6.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>6.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.6</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>5.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>7.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>7.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>4.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.7</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>7.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>6.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.3</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Sepal.Length  Sepal.Width  Petal.Length  Petal.Width     Species\n",
       "1             5.1          3.5           1.4          0.2      setosa\n",
       "2             4.9          3.0           1.4          0.2      setosa\n",
       "3             4.7          3.2           1.3          0.2      setosa\n",
       "4             4.6          3.1           1.5          0.2      setosa\n",
       "5             5.0          3.6           1.4          0.2      setosa\n",
       "6             5.4          3.9           1.7          0.4      setosa\n",
       "7             4.6          3.4           1.4          0.3      setosa\n",
       "8             5.0          3.4           1.5          0.2      setosa\n",
       "9             4.4          2.9           1.4          0.2      setosa\n",
       "10            4.9          3.1           1.5          0.1      setosa\n",
       "11            5.4          3.7           1.5          0.2      setosa\n",
       "12            4.8          3.4           1.6          0.2      setosa\n",
       "13            4.8          3.0           1.4          0.1      setosa\n",
       "14            4.3          3.0           1.1          0.1      setosa\n",
       "15            5.8          4.0           1.2          0.2      setosa\n",
       "16            5.7          4.4           1.5          0.4      setosa\n",
       "17            5.4          3.9           1.3          0.4      setosa\n",
       "18            5.1          3.5           1.4          0.3      setosa\n",
       "19            5.7          3.8           1.7          0.3      setosa\n",
       "20            5.1          3.8           1.5          0.3      setosa\n",
       "21            5.4          3.4           1.7          0.2      setosa\n",
       "22            5.1          3.7           1.5          0.4      setosa\n",
       "23            4.6          3.6           1.0          0.2      setosa\n",
       "24            5.1          3.3           1.7          0.5      setosa\n",
       "25            4.8          3.4           1.9          0.2      setosa\n",
       "26            5.0          3.0           1.6          0.2      setosa\n",
       "27            5.0          3.4           1.6          0.4      setosa\n",
       "28            5.2          3.5           1.5          0.2      setosa\n",
       "29            5.2          3.4           1.4          0.2      setosa\n",
       "30            4.7          3.2           1.6          0.2      setosa\n",
       "31            4.8          3.1           1.6          0.2      setosa\n",
       "32            5.4          3.4           1.5          0.4      setosa\n",
       "33            5.2          4.1           1.5          0.1      setosa\n",
       "34            5.5          4.2           1.4          0.2      setosa\n",
       "35            4.9          3.1           1.5          0.2      setosa\n",
       "36            5.0          3.2           1.2          0.2      setosa\n",
       "37            5.5          3.5           1.3          0.2      setosa\n",
       "38            4.9          3.6           1.4          0.1      setosa\n",
       "39            4.4          3.0           1.3          0.2      setosa\n",
       "40            5.1          3.4           1.5          0.2      setosa\n",
       "41            5.0          3.5           1.3          0.3      setosa\n",
       "42            4.5          2.3           1.3          0.3      setosa\n",
       "43            4.4          3.2           1.3          0.2      setosa\n",
       "44            5.0          3.5           1.6          0.6      setosa\n",
       "45            5.1          3.8           1.9          0.4      setosa\n",
       "46            4.8          3.0           1.4          0.3      setosa\n",
       "47            5.1          3.8           1.6          0.2      setosa\n",
       "48            4.6          3.2           1.4          0.2      setosa\n",
       "49            5.3          3.7           1.5          0.2      setosa\n",
       "50            5.0          3.3           1.4          0.2      setosa\n",
       "51            7.0          3.2           4.7          1.4  versicolor\n",
       "52            6.4          3.2           4.5          1.5  versicolor\n",
       "53            6.9          3.1           4.9          1.5  versicolor\n",
       "54            5.5          2.3           4.0          1.3  versicolor\n",
       "55            6.5          2.8           4.6          1.5  versicolor\n",
       "56            5.7          2.8           4.5          1.3  versicolor\n",
       "57            6.3          3.3           4.7          1.6  versicolor\n",
       "58            4.9          2.4           3.3          1.0  versicolor\n",
       "59            6.6          2.9           4.6          1.3  versicolor\n",
       "60            5.2          2.7           3.9          1.4  versicolor\n",
       "61            5.0          2.0           3.5          1.0  versicolor\n",
       "62            5.9          3.0           4.2          1.5  versicolor\n",
       "63            6.0          2.2           4.0          1.0  versicolor\n",
       "64            6.1          2.9           4.7          1.4  versicolor\n",
       "65            5.6          2.9           3.6          1.3  versicolor\n",
       "66            6.7          3.1           4.4          1.4  versicolor\n",
       "67            5.6          3.0           4.5          1.5  versicolor\n",
       "68            5.8          2.7           4.1          1.0  versicolor\n",
       "69            6.2          2.2           4.5          1.5  versicolor\n",
       "70            5.6          2.5           3.9          1.1  versicolor\n",
       "71            5.9          3.2           4.8          1.8  versicolor\n",
       "72            6.1          2.8           4.0          1.3  versicolor\n",
       "73            6.3          2.5           4.9          1.5  versicolor\n",
       "74            6.1          2.8           4.7          1.2  versicolor\n",
       "75            6.4          2.9           4.3          1.3  versicolor\n",
       "76            6.6          3.0           4.4          1.4  versicolor\n",
       "77            6.8          2.8           4.8          1.4  versicolor\n",
       "78            6.7          3.0           5.0          1.7  versicolor\n",
       "79            6.0          2.9           4.5          1.5  versicolor\n",
       "80            5.7          2.6           3.5          1.0  versicolor\n",
       "81            5.5          2.4           3.8          1.1  versicolor\n",
       "82            5.5          2.4           3.7          1.0  versicolor\n",
       "83            5.8          2.7           3.9          1.2  versicolor\n",
       "84            6.0          2.7           5.1          1.6  versicolor\n",
       "85            5.4          3.0           4.5          1.5  versicolor\n",
       "86            6.0          3.4           4.5          1.6  versicolor\n",
       "87            6.7          3.1           4.7          1.5  versicolor\n",
       "88            6.3          2.3           4.4          1.3  versicolor\n",
       "89            5.6          3.0           4.1          1.3  versicolor\n",
       "90            5.5          2.5           4.0          1.3  versicolor\n",
       "91            5.5          2.6           4.4          1.2  versicolor\n",
       "92            6.1          3.0           4.6          1.4  versicolor\n",
       "93            5.8          2.6           4.0          1.2  versicolor\n",
       "94            5.0          2.3           3.3          1.0  versicolor\n",
       "95            5.6          2.7           4.2          1.3  versicolor\n",
       "96            5.7          3.0           4.2          1.2  versicolor\n",
       "97            5.7          2.9           4.2          1.3  versicolor\n",
       "98            6.2          2.9           4.3          1.3  versicolor\n",
       "99            5.1          2.5           3.0          1.1  versicolor\n",
       "100           5.7          2.8           4.1          1.3  versicolor\n",
       "101           6.3          3.3           6.0          2.5   virginica\n",
       "102           5.8          2.7           5.1          1.9   virginica\n",
       "103           7.1          3.0           5.9          2.1   virginica\n",
       "104           6.3          2.9           5.6          1.8   virginica\n",
       "105           6.5          3.0           5.8          2.2   virginica\n",
       "106           7.6          3.0           6.6          2.1   virginica\n",
       "107           4.9          2.5           4.5          1.7   virginica\n",
       "108           7.3          2.9           6.3          1.8   virginica\n",
       "109           6.7          2.5           5.8          1.8   virginica\n",
       "110           7.2          3.6           6.1          2.5   virginica\n",
       "111           6.5          3.2           5.1          2.0   virginica\n",
       "112           6.4          2.7           5.3          1.9   virginica\n",
       "113           6.8          3.0           5.5          2.1   virginica\n",
       "114           5.7          2.5           5.0          2.0   virginica\n",
       "115           5.8          2.8           5.1          2.4   virginica\n",
       "116           6.4          3.2           5.3          2.3   virginica\n",
       "117           6.5          3.0           5.5          1.8   virginica\n",
       "118           7.7          3.8           6.7          2.2   virginica\n",
       "119           7.7          2.6           6.9          2.3   virginica\n",
       "120           6.0          2.2           5.0          1.5   virginica\n",
       "121           6.9          3.2           5.7          2.3   virginica\n",
       "122           5.6          2.8           4.9          2.0   virginica\n",
       "123           7.7          2.8           6.7          2.0   virginica\n",
       "124           6.3          2.7           4.9          1.8   virginica\n",
       "125           6.7          3.3           5.7          2.1   virginica\n",
       "126           7.2          3.2           6.0          1.8   virginica\n",
       "127           6.2          2.8           4.8          1.8   virginica\n",
       "128           6.1          3.0           4.9          1.8   virginica\n",
       "129           6.4          2.8           5.6          2.1   virginica\n",
       "130           7.2          3.0           5.8          1.6   virginica\n",
       "131           7.4          2.8           6.1          1.9   virginica\n",
       "132           7.9          3.8           6.4          2.0   virginica\n",
       "133           6.4          2.8           5.6          2.2   virginica\n",
       "134           6.3          2.8           5.1          1.5   virginica\n",
       "135           6.1          2.6           5.6          1.4   virginica\n",
       "136           7.7          3.0           6.1          2.3   virginica\n",
       "137           6.3          3.4           5.6          2.4   virginica\n",
       "138           6.4          3.1           5.5          1.8   virginica\n",
       "139           6.0          3.0           4.8          1.8   virginica\n",
       "140           6.9          3.1           5.4          2.1   virginica\n",
       "141           6.7          3.1           5.6          2.4   virginica\n",
       "142           6.9          3.1           5.1          2.3   virginica\n",
       "143           5.8          2.7           5.1          1.9   virginica\n",
       "144           6.8          3.2           5.9          2.3   virginica\n",
       "145           6.7          3.3           5.7          2.5   virginica\n",
       "146           6.7          3.0           5.2          2.3   virginica\n",
       "147           6.3          2.5           5.0          1.9   virginica\n",
       "148           6.5          3.0           5.2          2.0   virginica\n",
       "149           6.2          3.4           5.4          2.3   virginica\n",
       "150           5.9          3.0           5.1          1.8   virginica"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = data('iris')\n",
    "iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4d10c7b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iris\n",
      "\n",
      "PyDataset Documentation (adopted from R Documentation. The displayed examples are in R)\n",
      "\n",
      "## Edgar Anderson's Iris Data\n",
      "\n",
      "### Description\n",
      "\n",
      "This famous (Fisher's or Anderson's) iris data set gives the measurements in\n",
      "centimeters of the variables sepal length and width and petal length and\n",
      "width, respectively, for 50 flowers from each of 3 species of iris. The\n",
      "species are _Iris setosa_, _versicolor_, and _virginica_.\n",
      "\n",
      "### Usage\n",
      "\n",
      "    iris\n",
      "    iris3\n",
      "\n",
      "### Format\n",
      "\n",
      "`iris` is a data frame with 150 cases (rows) and 5 variables (columns) named\n",
      "`Sepal.Length`, `Sepal.Width`, `Petal.Length`, `Petal.Width`, and `Species`.\n",
      "\n",
      "`iris3` gives the same data arranged as a 3-dimensional array of size 50 by 4\n",
      "by 3, as represented by S-PLUS. The first dimension gives the case number\n",
      "within the species subsample, the second the measurements with names `Sepal\n",
      "L.`, `Sepal W.`, `Petal L.`, and `Petal W.`, and the third the species.\n",
      "\n",
      "### Source\n",
      "\n",
      "Fisher, R. A. (1936) The use of multiple measurements in taxonomic problems.\n",
      "_Annals of Eugenics_, **7**, Part II, 179–188.\n",
      "\n",
      "The data were collected by Anderson, Edgar (1935). The irises of the Gaspe\n",
      "Peninsula, _Bulletin of the American Iris Society_, **59**, 2–5.\n",
      "\n",
      "### References\n",
      "\n",
      "Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S Language_.\n",
      "Wadsworth & Brooks/Cole. (has `iris3` as `iris`.)\n",
      "\n",
      "### See Also\n",
      "\n",
      "`matplot` some examples of which use `iris`.\n",
      "\n",
      "### Examples\n",
      "\n",
      "    dni3 <- dimnames(iris3)\n",
      "    ii <- data.frame(matrix(aperm(iris3, c(1,3,2)), ncol = 4,\n",
      "                            dimnames = list(NULL, sub(\" L.\",\".Length\",\n",
      "                                            sub(\" W.\",\".Width\", dni3[[2]])))),\n",
      "        Species = gl(3, 50, labels = sub(\"S\", \"s\", sub(\"V\", \"v\", dni3[[3]]))))\n",
      "    all.equal(ii, iris) # TRUE\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "data('iris', show_doc = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "294afcd1",
   "metadata": {},
   "source": [
    "### What does the distribution of petal lengths look like?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5c094fea",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>1</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>2</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>3</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>4</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>5</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",
       "1           5.1          3.5           1.4          0.2  setosa\n",
       "2           4.9          3.0           1.4          0.2  setosa\n",
       "3           4.7          3.2           1.3          0.2  setosa\n",
       "4           4.6          3.1           1.5          0.2  setosa\n",
       "5           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2f690148",
   "metadata": {},
   "outputs": [
    {
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       "      <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>1</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>2</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>3</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>4</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>5</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",
       "1           5.1          3.5           1.4          0.2  setosa\n",
       "2           4.9          3.0           1.4          0.2  setosa\n",
       "3           4.7          3.2           1.3          0.2  setosa\n",
       "4           4.6          3.1           1.5          0.2  setosa\n",
       "5           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.rename(columns = {'Sepal.Length': 'Sepal_Length','Sepal.Width':'Sepal_Width', 'Petal.Length': 'Petal_Length', 'Petal.Width':'Petal_Width'}, inplace = True)\n",
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "f40d78b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fd419a40790>"
      ]
     },
     "execution_count": 236,
     "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(data = iris.Petal_Length, kde = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f5f8e9c",
   "metadata": {},
   "source": [
    "### Is there a correlation between petal length and petal width?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bc47b33e",
   "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sepal_Length</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.117570</td>\n",
       "      <td>0.871754</td>\n",
       "      <td>0.817941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sepal_Width</th>\n",
       "      <td>-0.117570</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.428440</td>\n",
       "      <td>-0.366126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petal_Length</th>\n",
       "      <td>0.871754</td>\n",
       "      <td>-0.428440</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.962865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petal_Width</th>\n",
       "      <td>0.817941</td>\n",
       "      <td>-0.366126</td>\n",
       "      <td>0.962865</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Sepal_Length  Sepal_Width  Petal_Length  Petal_Width\n",
       "Sepal_Length      1.000000    -0.117570      0.871754     0.817941\n",
       "Sepal_Width      -0.117570     1.000000     -0.428440    -0.366126\n",
       "Petal_Length      0.871754    -0.428440      1.000000     0.962865\n",
       "Petal_Width       0.817941    -0.366126      0.962865     1.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.corr()\n",
    "#see map below--the correlation is .96"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "54b5d70c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(iris.corr(), cmap = 'RdBu_r',   #as taken from today's lesson\n",
    "           center = 0,\n",
    "#            vmax = 1,\n",
    "#            vmin = -1,\n",
    "            annot = True,\n",
    "#             fmt = '.2f',\n",
    "#             linewidth = 1,\n",
    "#             linecolor = 'k',\n",
    "#             xticklabels = labels,\n",
    "#             yticklabels = labels\n",
    "           )  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "dd45bc50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fd42d851d30>"
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 444.75x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#ravinder's solution:\n",
    "sns.relplot(data = iris, x = 'Petal_Length', y = 'Petal_Width', hue = 'Species')\n",
    "#like what i did below..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d81f5d11",
   "metadata": {},
   "source": [
    "### Would it be reasonable to predict species based on sepal width and sepal length?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "25f97a0b",
   "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>1</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>2</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>3</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>4</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>5</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",
       "1           5.1          3.5           1.4          0.2  setosa\n",
       "2           4.9          3.0           1.4          0.2  setosa\n",
       "3           4.7          3.2           1.3          0.2  setosa\n",
       "4           4.6          3.1           1.5          0.2  setosa\n",
       "5           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "066e75c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fd443bd7730>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 444.75x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(data = iris, x = 'Sepal_Width', y = 'Sepal_Length',\n",
    "            hue = 'Species',\n",
    "#            style = 'nnnnnn',\n",
    "#            size = 'nnnnnnn'\n",
    "           )\n",
    "#more or less, yes. Especially Setosa; the versicolor and virginica ar more mixed in together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "28b6d5e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fd4387a0a30>"
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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46OjxTM5M6G47ZVomS3Kd5BgdEc5Vp0whO6Wn6st5C7JZMMEGHZjhbV7GPM7JPaf79ei40Xx33neJjrB72ybwrNaoD9Q2tbGjrJ6Wtg4mZcYzOsm35cYO1DWzq6yByPAwpmTGkxzXd1RqcU0Tu8sbiI0MZ0pWAokxQ78aNcbf6lvr2VWzi+b2ZnKSchgVPyrYIQ03Vms0QCwRGmPM8GSJMECsa9QYY0xIs0RojDEmpFkiNMYYE9IsERpjjAlpfk2EIhIjIp+IyFoR2Sgiv/CwzskiUiMia1wfN/ozpiNRTWMrq/ZUsamohs5O94o2FfUtrCysYnNxrcfta5va2FpSR1F1k1/iO1DbzNaSOirrW/yyf2OMGQp/1xptAZapar2IRALvi8grqvpxv/XeU9VzPGxvBrBhfzV/en0by7eWERsZzpUn5/Llo8czyvUIx9q91fzm5U2s2F1FYnQEPzxtGucvyCYl3nlea2tJLTc8s57Ve6tJiYvk1+fN4bRZo4iKCPdJfB/uLOdHT66luKaZ3Iw4brlwAYty7DlHY8zw4dcrQnXUu15Guj5G3vMaw1R7eyePrdjD8q1OmbWmtg7+/MZ2VhZWA1Df0sYdy3ewYrdTq7SupZ1f/GcTq/Y6ZeHqm9u48d8bWe2qTVrd2Mb3H1/NVh+VaCsob+Dyh/IprmkGYFd5I999dCUlrtfGGDMc+P0eoYiEi8ga4ADwhqqu8LDaElf36SsiMtvfMR0p9tc0eaxFunG/k+j2VzWxfKv78oLyBgAO1LV0F/Duogq7Kxp8Et/eqkYaWjv6tJXVtbDfT12wxhhzOPyeCFW1Q1UXAOOAxSIyp98qq4AcVZ0P3AY872k/IvIdEckXkfyyMvdC06EoJTbSY13RcWlxACTHRJKbkeC2PD3BqUyTEB3BmOQYt+UZ8b4pc5UWF4X0eyQ4OiKMlFirfGOMGT4CNmpUVauBd4Az+rXXdnWfqurLQKSIuFWaVtV7VDVPVfMyMzMDEPHwlxwXxdXLppIQ3XOrd/64ZBa6inKPTonlf86cTnSvuqfHT0ln7thkALKSYvjN+XOJCOvJVl88ahwzx7gXEj8ck7MSuP606X3afv65WUzMsKLgxpjhw68l1kQkE2hT1WoRiQVeB36vqi/2Wmc0UKqqKiKLgadxrhAPGpiVWOtr7d5qtpfWERsVzqzsJCb1ugrs7Oxk9d5qdh6oJyk2kpljkshJ70lEHZ3KttI6CioaSI2LYsboRFL61TIdioaWdraW1FJS28K4lFimjU4kJtI3A3GMOcJZibUA8XcinAc8BITjXH0+qaq/FJErAFT1LhG5GrgSaAeagB+q6oeH2q8lQmNMCLBEGCBWdNsYY4YnS4QBYpVljDHGhDRLhMYYY0KaJUJjjDEhzRKhj5TXtVBc00Rn5+Hdc91VVs/usvqBV/Sgvb2THQfq2HOQB+HbOzopqm6isqHV4/LW9g6KqpuoafS8fCDVDa1sK62lom6EVoypPwA1RU41gUFSVQ40HKCsyfOzrZ3aSUlDCZVNlR6XG2OCz+taoyKyFLgJyHFtJzhV1HL9E9rI0NTazpubD3DzS5upbW7jsqUT+eoxOYxJifVq+72VDfx7TRH3vb8bAS4/IZfPL8hmXGqcV9tvLanjsRWFPJW/j9S4SK47dSqnzRlFSqzzUPyeykbufXcnT+bvY3RyDDeeM4sTp2USGe68B9pdXs9tb+/gxbXFTMqM58ZzZrEkN52wMO/u0+cXVHLL61vJL6hi7rhkfnL6dJZMdnsMdHhqroVNL8Dbv4C2Zlh6LSz8OiSO8mrz8sZyntvxHPdvuJ/o8GiuWXQNp+WcRkKU8/hKSUMJ/9ryLx7b8hhJUUlcn3c9J48/mZgI9yIGxpjgGcwV4T+APwPHA0cDea7PIW3N3mq+//hqSmqbaWzt4PblO3l+zX6vt39/RwW3vL6N6sY2qhrb+MNrW/lwR4XX2z+7ah8Pf1RIU1sHRTXN/OSZ9awsqAagraOTe9/dySMf76GlvZPCikYufzifjUXOLBRNrR387uUtPLtqP60dnWwtqeOSBz5ha6l3tUYLyhv44ZNr+XhXJe2dyuo91T6tVep3e1fAC1c5V4QttfD2r2DrS15v/s6+d7h19a3Ut9VT0VzBzz/8OasPrO5e/p+d/+G+DffR1N5EaWMpP373x2wo3+CP78QYMwSDSYQ1qvqKqh5Q1YquD79FNkJ8WlDl1vbYij1UHaQbsr8X1xa5tb28odirbbuuJvtb4yqifaCuhSfz9/VZ1qmw3ZXoimuaeH1zaZ/lbR3KDi+7aHeXN7CnsrFPW3l9KzsPs4s34La95t6W/wC0Nbq399Pc3sxTW59ya39n7zsAVDVX8fS2p92WrzqwarBRGmP8bMBEKCKLRGQRsFxE/igiS7raXO0hLSvRvS7nhLQ4r6undNUF7W28hzZP4qMiGJ3kfvyMBKctNjKM0R5qiSbFOLU+YyLDSfVQRSYpxrse84SYcMI9dKEmx/p7di8fSc1xb0ufAmEDV9aJCItgQtIEt/ZxieMAiAmPITsh2215VmzW4OM0xviVN1eEf3J9HIPTHfqbXm23+C+0kWHxpDTGp/bcD4wKD+Paz0wlNsq7RHj+wrEk9qoVmhQbwefmjfFq27SEaK5eNpXI8J5kND4tlkUTnPn+0uKjufGcWfTOVXPGJnXXGs1OieXGc2b12efSyenMHO1drdHZY5L41tKJfdq+5MNapX435VRI6JWYImPh2O9B+MCJPCIsgq/P+jqxET0/+/SYdE4YewIAsZGxXLXgKiLCevY1LmEcC7MW+i5+Y4xPeF1ZRkRyVXXXQG2BMNwqyxRWNLBxfy1NbR1MH53I7OwkpP+0C4ewqrCKzSW1CDBzTBILJ3g/cW17eyefFFayvbSemMgw5oxNZnZ2cvfyto5ONu6vYfuBepJiIpgzNpmxvQbiNLd1sGF/DbvKGkiLj2LOuGRGJ3k/mKO4pom1e6spqm5mVFI088YlMz5tBBXVrtgBxeugoxVGz4VRg5sFbFvlNrZVbSM8LJyZaTOZmDyxe1mndrK1civbqrYRGxHLzLSZjE8a7+NvwBzBrLJMgAwmEa5S1UX92laq6lF+iewQhlsiNMYYP7BEGCAD9gGJyAxgNpAsIl/otSgJsHHgxhhjRjRvRjVMB84BUoDP9WqvAy73Q0zGGGNMwAyYCFX138C/RWSJqn4UgJiMMcaYgPGma/Q2QF1fX9x/uape44e4jDHGmIDw5vGJfGAlzv3ARcB218cCoMNvkZlBqW1uo7n14D+OmqZWWtrsxxUM9Q1lNDdXB+XYre2tlDaU0tTeFJTjGzMSeNM1+hCAiFwCnKKqba7XdwGv+zU6M6Dy+hZe3VDCAx/sJjMxmmuWTWXxpDQiXLVES2qaeWHtfh7/ZC/jU+P4/memkJeTOqjHO8zhqawp5K09b/PIzudIi0ziitmXkDf2BCIi3Ysg+MOG8g08ve1pVpSsYF7GPC6acZE9x2iMB4N5fGIrsERVK12vU4GPVXW6H+PzyB6f6PHghwXc9MLG7tfhYcLTVyxh4YRUOjuVv765jVvf3tG9PDoijOe+dxyzej1raPzjX+v+wa9X/7X7dZiE8fApdzB//PF+P3ZpQynXvH0Nmyo3dbdlx2dz16l3MSllkt+Pb3zC3q0GyGBqjf4OWC0iD4rIg8AqnCozJkiqGlq5772+9Qw6OpWVhU7909K6Zv7x/u4+y1vaO9k8Uopij2A1dcU8tOOZPm2d2smqXkW5/Wln9c4+SRCgqKGInTU7A3J8Y0YSrxOhqj6AU2btOdfHkq5uUxMcEWHisS5ofHR49/IED8tjImwaSn+LCI8iKSLBrT0+MjBVd6IjohEPFxTR4YHpljUjh4j8n4hsFJF1IrJGRI7x4b5fFpEUX+3PX7wpuj3D9XkRkA3sdX1kW9Ht4EqMjeRHp/XtmU6LjyIvJw2AzMQYfnrmzD7Lx6bEMGesdYv6W3xcOlfNuaxPMkqOTmZRgO7RTU2ZyrlTzu3TtmTMEqamTg3I8c3IICJLcJ4TX6Sq84BTcf6++4SqnqWq1b7an78MeI9QRO5V1ctFZLmHxaqqy/wT2sHZPcIeLW0drN1XzQc7KkiNj+S43AymjU7sXt7Q0s6avdV8tLOCMckxHJubzuQs9ysV43utLfWsL81nRcmnJEclsnjUYqaOCdx7xz01e1hVtoqNFRuZljKNhVkLmZI6JWDHN0Pm93uErmphl6rq5/q1FwD/Ak5xNX1FVXeISCZwF9A19cp1qvqBiCQAt+FMzKDAL1T1Gdd+8lS1XES+BlwDRAErgO+59vGPXtvdr6p/8c93e3DeJMJUVXWfdC+ILBEaY0JAIBJhAvA+EAe8CfxLVf/rSmD3qurNIvIN4Euqeo6I/BP4u6q+LyITgNdUdaaI/B6IVtXrXPtNVdWqrkQIZAJ/AL6gqm0i8nfgY2Aj8DtV/axru5RgXEF6U2Jtq4iUAR8CHwAfquo2/4ZljDHG31S1XkSOAk7Aufr7l4jc4Fr8eK/PXVdppwKzej1+lSQiia72i3rtt//F02eAo4BPXdvGAgeA/wC5rsItLxGkR/K8eY4wS0SmAce5Pq53XR5/DHygqn/wc4zGGGP8RFU7gHeAd0RkPfDNrkW9V3N9DsMZKNmnQoM42e1Q3YsCPKSqP3VbIDIfOB24CvgScNlhfBtD4tXwQVXdpqoPqup3gHOBX+PMSPELfwZnjDHGf0Rkuoj0HkG1ACh0ff3lXp+76ky/Dlzda/sFB2nvP6nqW8AFIpLlWp4mIjkikgGEqeozwP/DqV4WcN7UGu26ElwCjAd24VwNfg3nWUJjjDEjUwJwm+sRh3ZgB/AdnJGk0SKyAueCqavO9DXAHSKyDid/vAtcgXNxdIeIbMApvfkL4Nmug6jqJhH5GfC6iIQBbThXgE3AA642ALcrxkDwZrBMJ07C+zPwvKo2BiKwQ7HBMsaYEBC0yjK9R3sGK4ZA8mawTDY99wevEJEInMT4EfCRqu461MYjwebiWp5fvZ+NRbV8YdFYTpyaSUaidw8eqypr91bzr/y9lNa28JXF4zk2N52EmEgAWlrb+Wh3JU/l76W5rZMLjhrHktw0UuJ982BzbVMbH+2q4IlP95KdHMOFeeNZMD7FJ/s+IuzLh9WPQG0xHPVNmHgCxCQFOyoAqmv383HxRzxf+Bo5cWM4N/ccZmUv7l5e0VjBB8Uf8J+d/2Fm2kzOmXwO01Kn+ez4hbWFvLXnLT7Y/wEnjz+ZU8afwrjEcd3Ld9fs5tXdr5Jfms9pE0/jpHEnMTp+dM8OSjfB+qdg/0qY92WYciokjvL6+OvL1vPcjucoaSjhi1O/yOIxi0mMShx4Q2N8zOtao90biMTh3My8DpikquF+iOuQfHlFuLu8gS/e+SGVDa3dbdedOpVrlk0lLGzgN2Tr99VwwV0f0tLe2d1260UL+PyCsQC8u+0Alz6YT0dnz3m+/eKFnDM/2yfxP7tqHz98cm336+iIMJ658jh7aB6geC384zRob+5p+8K9MO9LwYupl8fX3stv1tza/To+Mp5Hl/2dKaMX0amd3LnmTu5ad1f38rSYNB4+82FyknKGfOzK5kquefsa1pb1/O4szV7KH078A0nRSZQ2lPKt175FYV1h9/JzJ5/Lz479GTERMVC5G+4/A+pLena69Aew7GcQPvD76y0VW/j6K1+nuaPnZ/Prpb92KwIQ4qzWaIB4U1kmWUTOEJFfisibOFUHvo4z7PXLh956+NtSXNsnCQLc9d+dFFV7N23Nit0VfZIgwO3Ld1DX1AbAGxtL+yRBgEc/LqSptX0IUTtqGlu5rVdBbXBqiXbVGg15ez7umwQB3v0DNFUHJZzeyqsLuGvLo33aGtoa2Fy5BYCi+iIe2PhAn+WVzZVsr9ruk+MX1BT0SYIAHxR9wJ66PYBTq7R3EgR4YecL7K1zFR0p3dQ3CQJ8fAfU7PHq+GvK1vRJggB3r7ub6iBNV2VCmzddoztwBsd8CPwK+KT/0NkjjSBevxfzNJtRnzZPV5XS/b8h87QXexvZxdOZGB51VhU81gLtavO07FDtg3WwabgG2n/3co+/eHKQBd4dX1z/GRNoA/5VUNVMVf2cqv5WVf97sCToeiByxJmZnURGQlSftitPnszYlFivtj9mUhrR/YpYf3/ZVBJjnXuEn505ioh+yfDrx+YQGzX0HuXkuCiu+Uzf2pGxkeEcNbH/yOUQNeEYiOz3czzpJxCbEpRwestMmcgVM7/Wpy0xMpGZaTMAGJMwhm/N+Vaf5ekx6T6rFToxaSKLsvqOVD9p3End3a6TUyeTm5TbZ/n5U85nfOJ458Wo2ZDYr3t/yfchZQLemJ85n9iIvj+bK+dfSXKMdembwBv0PcKD7khklaoG5BkQX48a3VJSy0vritlYVMu5C7JZOiWDjATvB7Os2VvNc6v2caCuhQuPGs/i3DQSop2L7db2Tj7cWc7zq/fT3NbB+QvHsWRyOkmuRDlU9c1trNhVyVMr9zE6OYbzF45lvg2W6bF/Jax9EuqKYMFXYOLxED08BmTU1BXxSdHHvLj3TSbEjeGsiaczs/dgmaYKVhSv4OVdLzMjfQanTzzdp0Wz99buZfne5XxU/BEnjj2RE8efyNiEsd3LC2oKeLPwTVYeWMmpE05l6dilfQfLHNgMG5+HotUw5wuQe8qgBstsLN/Ii7tepKShhHOnnEveqDwSoqwObi92eRwglgiNMWZ4GnGJUEQuAV5X1aJgxzIYw+OGiTHGmCPBJTiP3I0o3gyW8daIe/dijDFHmok3vPQV4Dc4UyXtAf634Hdn//Nw9yci8cCTwDggHGfQ5A6cIisJQDlOAlyKM9PEYyLShFON7DjgFpxc8ylwpaq2iMjvgM/jVLN5XVWvF5HPAT/DmaapAviqqpYebtyD4csrwr/5cF/GGGMGyZUE7wVycC5OcoB7Xe2H6wygSFXnq+oc4FWcuQcvUNWjgPuBm1X1aSAfJ4EtwBkc/SDwZVWdi5MMrxSRNOB8YLZrMuBfu47zPnCsqi4EngB+MoSYB8WbWqP/4RBVxVX1867PD/ouLGOMMYfhNzhzC/YW52o/3KvC9cAtrjkHXwSqgDnAG67HYMKBYg/bTQd295q27yGc+qK3A83AfSLykmuf4Fxx/ktExuBcFe4+zHgHzZuu0Vv8HoUxxhhfONjzK9491+KBqm5zzVl4FvBb4A1go6ouGWBTj7fLVLVdRBbjzFF4Ec6sFctwrjL/rKoviMjJwE2HG/NgeTMf4X8DEchItqW4lvd3lFPV0MqJ0zNZMC6F6EjvnhPs7FTW7a/m3W3liMCJUzOZNy65+4HjptZ2Vuyu5L3t5cRGhnPC1AyOyU3357djAqSxrZG1ZWv5sOhDRsePZsmYJeSm5A68oZfKyjazumI9ays2MiNlKnkZ8xkzaq7X228tW0/+gTXsqNnJwsz5LMyYy/jUKT6Lz/jFHpzuUE/th0VEsoFKVX1UROpxZqfIFJElqvqRiEQC01R1I1AHdD2ftAWYKCJTVHUHTkWy/4pIAhCnqi+LyMc49xsBkoH9rq+75kQMCK8Hy7jmrPotMAuI6WpXVd/9yx2BtpbU8qV7PqK2ySmZdsc7O7n/m3ksm+nd81Sr91Rx0b0f09bh9D7f9tYOnvjOsSzKcR6Kf39HOd99ZCVdVdru/2A3919yNMdaMhzxlu9dzg3v3dD9Ois2i/tPv5+c5KHXEm1uKOfOzQ/x1O6XuttOGHU0vz3m5ySnDrz/PVU7+PmKm9lYsRGAp7c/w8XTL+IHC64lNsae9RvG/hfnHmHv7tFGV/vhmgv80TUTURtwJc4gl1tFJBknj/wV2IhzT/CuXoNlLgWeck3W8ClwF5AG/FtEYnCuGn/gOs5NrnX341QzmzSEmAdlMINlHgDuxDkBpwAPA4/4I6iR5ONdld1JsMtf39pOQ4t3tUSf+HRvdxIEaO3o5JlV+wBobGnjgQ8K6F2qtLG1g/9uPTD0wE1QVTZV8peVf+nTdqDpAJsqN/lk/4VV23h698t92t4r/ZRd1d7VKt1WvaM7CXZ5atvTbK/e6pP4jH+4RodejjO5rro+Xz6UUaOq+pqqzlPVBap6tKrmq+oaVT3RNYBmtqre61r3GVWd7lq3SVXfUtWFqjpXVS9T1RZVLVbVxa59zlXVh1zb/ltVc1X1BFX9saqePPQz4p3BPD4Rq6pviYioaiFwk4i8B/zcT7GNCI0eimfXNbfT3tHpYW13VY2tbm3VjU7B7rZOqPeQUOubh16w2wRXW2cbTe3u1QpbOlp8s/+ONtTDGLe2zjavt++vXdtp9XJ7EzyupHfYiS8UDeaKsNk1i/B2EblaRM4HsvwU14hxzKR0t7ra3zkxl+S4KM8b9HPxYvd72F/Kc+aES46N5OKj+y4XgZNnhPxpH/Gy4rL4xqxv9GmLCotiRuoMn+x/QsokFqbP6dM2Pn4cOUkTvdp+ckouGbEZfdqOyz6OyUkB660yJmC8LrEmIkcDm4EUnAcqk4E/qOrHfovuIIZTibX2jk4+Kajk78t3UtHQwmVLJ/GZmVmkeTnxbkNLO+/vKOfOd3YiAt87eTJLp2QQF+VcrBfXNLF8ywEeW7GH2MhwvnX8JE6alkFctG9qlZrgKWss4809b/Lk1icZlzCOy+ZexoLMBQedGWKwCkpW8+yuF3mn9FMWp8/hoqlfYMqYPK+3X1X8Kf/a9hSbK7dwwtilnDPxTGZmzfNJbMYrVqQkQA5nYt4kQFW1zj8hDWw4JcIuLW0dtHcq8dGHV6ynsbUdESH2IKNNK+tbiIgQkmK8u9I0I0dDawOR4ZFEhfv+Z9vZ3kpDwwHi4jIJj/S+kHyXltYmapsrSY8fTVh4wOfgDnWWCANkMKNG83AGzCS6XtcAl6nqSj/FNqJER4Yz+D8zPbquAA8mbRCzYZiRJT4q3m/7DouIIjF53GFvHx0VS2bU2IFXNGYEG8zly/3A91T1PQAROR4nMVpfiTHGmBFrMINl6rqSIICqvo/z8KQxxhjjNRH5pYicehjbnSwiLw685uAM5orwExG5G3gc5/mULwPviMgiAFVd5evgjDHGjEzijPoSVXV7lkxVbwxQDBGqOuDzZoNJhAtcn/s/N3gcTmJcNoh9GWOM8Yebkt2mYeKmmqFMw/R7oFBV/+56fRNOb2AY8CUgGnhOVX8uIhOBV4DlOJVlzhORX+BMz6TA/ar6FxF5EHhRVZ92PZHwNyAeaMGpQdqGU8AlD6eIyw9VdXm/uNJwbtnl4lTP+Y6qrnPFlw1MxJkiasCZN7xOhKp6irfr9go0BngX50RFAE+r6s/7rSM4J+EsnG/mEl9fXZbWNrN+Xw0H6prJzYxn7tiUPqM7i6qbWL+/hsqGVqZmJTBnbDIxXtYK9YX8gko2FdciwOzs5O7yagCqyubiWjYV1xIZHsbcscnkZvaUuOroVDbur2FLSS1xURHMHZdMTrr/Bl+4aayC4jVQVQDJ4yB7IcRnDLRVj/IdULQK6kshLRfGHg2JvZ6TrNkPxauhoQIypkH2AoiM9Xr3e8o2sqliE00dzUxLmcKMUUcRHtEzOnN3zW42V2ymtbOVmWkzmZ42vc/2O0pWsblyCwAz0qYzdfRR3n9vQ1TVVMXa8rUU1hSSHJ3M9LTpzEyf2bNCSx0UrYGKHZA42jn3iaO7F9fWlbCpfB176/czJm4UszJmk9arfFtVUxUbKzdSXF/M2MSxzE6fTXJ0ss/iL6ovYmPFRmpbapmSMoVZ6bOIDO957Gdv3V42lm+kqb2JaanTmJE2g/CwwPy769ROtlRsYWvVVmIiYpiVPoucpJ5z09bZxpaKLWyv2k5CVAKz02czNnEEDBpykmDvEms5wL3clMwQkuETOCXU/u56/SXgd8DxwGKc0a0viMiJOIl3OnCpqn7PVax7rGv6JkQkpfeORSQK+BfOVE2fup5KaAKuBVDVuSIyA3hdRKb1i+sXwGpVPU9EluFUO1vgWnYUcLyqulet8GAwo0ZH4bzLyFbVM0VkFrBEVf9xiM1agGWqWu8qzPq+iLzS79nDM4Gpro9jcN4FHONtXAOpqG/h/55bz5ube8qS/fLc2Xz92BxEhNLaZq55fBX5hdXdy2+9aAGfXxCYX/qPdpZz+cMruyvIJMVEcM838rpria7eU8XF966gpd3pXchIiOKf3z6WaaOdurYf76rgm/d/QrurDtv41FgevmwxkzIDUA+yrQU+uh3e6zVBSd634bO/gGgvjl+1B179H9jxZk/bsv8HS6+D8AioK4FnL4fCD3qWn38PzP+yV+EVHljPd//7I/Y3OjPEREgEd5/0JxbnOJ0X26u28+3Xv01lcyUA0eHR3HfafSzIWgDA5qJPuOyda6lvqwcgPjKe+0/+G7OyffbreUiv73mdX3/86+7Xc9LncNNxNznJWhXW/BNe6TVl2/Sz4dzbIC6dttZGHt38CHdufrh78RdzzuTHR/+Y+PhMGtoa+Pvav/PE1ie6l3977re5Yt4VREcMfYRycX0x1y6/li2uNxGC8NdT/sqyCc65L6wt5Mo3r2Rv3V4AwiWcu069i2Ozjx3ysb2xqnQVl79xOe2dzr+70XGjuee0e5iU7BQM+LjoY65++2o6Xb16uUm53HHqHYxLPPwRuAHi82mYVHW1iGS5im9n4kzDNA84DVjtWi0B52/4Hpyrx66/8buAXBG5DXgJeL3f7qcDxar6qetYtdA9GPM2V9sWESkE+ifC44EvutZ5W0TSXbVPAV7wNgnC4AbLPAi8hnPJCbANuO5QG6ij3vUy0vXR/8HFc4GHXet+DKS45qPyiW2ldX2SIMDvXtlCYWUjABuLavokQYBf/GcTJbVen8MheW71/j5l1Gqb23lpbREAbe2d3PPu7u4kCFBe38q728sA52H8P72+tTsJAuytamLlnqqAxE7lDnj/z33b8u+D8m2e1++vdH3fJAhOUi3d4Hxdsr5vEgR47QbnKtELq8vWdCdBcEqE3bHhHzQ2Oonv/f3vdydBcMqbPbLpke4/ji/ufqU7CQI0tDXwn371O/1la+VW7lh9R5+2DRUb2F7lqhVauRvevKnfRi9BqVOrtKBiM/dseazP4mcKX2FXlVMrtKCmoE8SBLh/w/0U1hX6JP5NlZu6kyCAovzh0z9Q2eSc77Vla7uTIECHdnDb6ttoaGvwyfEPpbm9mTvX3tn9cwYoaSwhv8R5NrmmuYY/rfxTdxIE2FW7i00VvqkD62c+n4bJ5WngApyxIU/gXAX+1lVTdIGqTul1UdT9Q1TVKmA+8A7OXIT39duv4Hm+W2+eofS0Tte+BvWLNJhEmKGqTwKd4MwpBXQMtJGIhIvIGuAA8Iaqrui3ylhgb6/X+1xt/ffzHRHJF5H8srIyr4P2VKuzsbWD5lYn9DoPdTurGltpafOuVuhQ7a9yT7j7qp22ts5O9rgStqdtmts6KKpudlteUe9ev9QvWurB/T44tNa7t3ncvta9ra0JWhsOvrypCtrdv2dPKnoluS7FTWW0tDvntKi+yG353rq93X8gC3sl0S6FjSVeHXuoWtpbqG6pdmvvThTtTdDm/rtBi3Pum9oa6FD3f571rp9N7wTfpVM7afS0z8NQ7+F3oKyxrLuWalWz+5u1ksYSWtp9U2v1UFraWyhqcP/ZlzeVA9Dc0cyBBvfC9jUtNX6PzQcONt3SYU/D5PIEztyBF+AkxdeAy1xTKiEiY0XErfajiGQAYar6DPD/gEX9VtkCZLvuEyIiia6ZKt4Fvupqm4aTyPtXfO+9zslAedcV5WANJhE2iEg6rowrIscCA/5mqGqHqi7AmX14sYjM6bfKobJ67/3co6p5qpqXmZnpddCTMhKIi+p732FJbhrjUp37TFOzEogM7xvC5+ZnMzo5hkA4Z362W9tZc50L4rioCL56jPsbuVNmON9/ekK0x+ULJ6T4NsiDSZsE6f3mp0vIglQv61FmTIeofl2o447u2WfGdOhfbWXWeZDkfs48mZ/h/ojrlyaeRWqS07110viT3JdP/xIxEc7P/vMTTnNbfu6Ez3p17KGakDiBk8ef3KctIiyCiV21QpPHQ87xfTeKiocM59yNS57IpMSJfRanxaSR4+r6m5A4wa2W6PjE8YxL8E3X3+SUyYRJ3z8v5089n4w455hzMvr/GYALp11IWmyaT45/KMkxyXxp2pfc2o8a5dz/zYzL5IJpF/RZJgjT0vr3zA1L/4sz1qK3oU7DhGuuwURgv2v2iNdxulo/EpH1OMkx0cOmY3GeLliD06v40377bcW5yrxNRNbiTPobg3M/Mty173/hjB3p/y7pJiBPRNbh3LM87DkMB1NrdBFOn+0cYANOX/EFqrrO64OJ/BxoUNVberXdDbyjqo+7Xm8FTlZV97fjLoMtsZZfUMlvXt7M5uI6zpg9iquXTWVylvMHuLNT+Xh3Bb9+aTMF5Q2ct3As3z0xN2ADTvZVNfLi2mL+8f5uELj8hFzOmTea7BSnm7+srplnVu3n7v/uJDYynB+fMZ3PzhpNgmuwT3F1E49/socHPywgNT6K/z1zBidPz/J6YuAhK90Ab/0adr8D44+FU29yBrR4a8fb8PavoGwLTPkMLP0BjHMNSFGFgvfh9f9zBoTMuRCWXgPpk73adXNzLe/vfZs/rb+b2pZavjL5XC6Y8gVGpTnJor61nuV7l/O3VX+jpaOFy+Zcxucnf570WOf+bE1dEa/ufpW7tjyCqnLlzK9zxsQzSfYyEQ/V+rL1PL7lcd7c8ybjE8dz1YKrOH7s8T2l2Mq2wbt/hC0vwqg5cNqvYULP/cvtJau5ff3dfFi6kvnps/jB/KuYnb24e/mmik38bdXfWFW6imPGHMP3F37fbbDQ4WrvbGdF8Qpuyb+F4oZizp9yPl+b+bXuASct7S18UPQBf8r/E1XNVVw882IunHYho+NHD7Bn3zjQeIBntj3Do5sfJTEqkR8e9UNOHHdi95ugovointjyBE9te4rM2Eyuz7ueJdlL+gz2CYDDK7Hm41GjoWDAROi6ZN2rqiWuS9bv4tyg3ATcqKru/U8922YCbapaLSKxODdKf6+qL/Za52zgapxRo8cAt6rqYo87dDmcWqN1zW3UNbeTnhBFdIR7kqhpaqWxpYOMxGgiwwdzoewbu8vqEYGJGZ4HmZTWNhMRJqR7KLWmqpTWthAVIV4X+/ap1iZoqoDYVOeqZLDqy6Cxwhl16mmQTVON092akAWH8YeoqnYfrR0tZCVPQsLcf7aVTZV0aAeZcZ57GsprClFVMlMmDvrYQ9XQ1sDeur0kRiZ6HrXY3gINZRCdBDFJboubW2qpbiglKSaduDj3q63GtkZqW2tJiU7pTgK+VNNSQ1N7E5mxmR5HhFY3V9PS0UJWXJbPio17S1UpayojMiyS1JhUt+Wd2klZYxnR4dGkxKQENDYXqzUaIN4kwlXAqapa6Roe+wTwfZxhqjNV9YJDbDsPeAgIx+mGfVJVfykiVwCo6l2uxyduB87AuYS/VFUPmeWGY9FtY4zxMUuEAeLN4xPhva76vgzc47rx+Yyr3/egXN2mCz2039Xra8UZTWSMMcYEnDd9gOGuLlFwnvh/u9eyw5tzyBhjjBkmvElkjwP/FZFynCf+u2afmIIXo0aNMcaY4WzARKiqN4vIW8AY4HXtuakYhnOv0BhjjBmxvOra7FcSravNy/Ihw19lQwubi+uobmolNyOBaaMSCQ+z+9QB0VTjPIJRfwBSJ8Ko2dCrFigNFVC6EZoqnccmsmaBL+tR1uxz9t/RBlkz3R/NqCp0loMTW2pO3+UVu+DAZggPdx5h6DcJ7u7q3eys2UlMeAzTUqeRFd/rmWNVZ9vybc6Iz6zZkDjK+9jbW+HARqgsgIRM5/ixKd5vP8yVNJSwrWobbR1tTEmZQk5yzsAbmYBwlVu79VCDJQ+y3cvAV1S1+hDr/BJ4V1XfPNg6vhby9/jK61u46YWNvLjOVY8yTLjvm3mcPN2tSILxteZaWH4zfHK381oEvnAvzL3Qed1QDq/8D2x42nkdFg4XPQ7TTvfN8St2wOMX95SEi02Fb7wAY1wP4h/YDI98AepcVUgSs+HrzzoJE6B4LTxyHrhKtpE+FS5+ovuh9nVl67j89ctpdFWymZM+h1tOuqXnMYjCD+HR851HIAByT4Hz/u51wQA2/wee/ZaTUAGOvhw+c6PHxyhGmsLaQq59+1p21uwEICkqiXtPu5dZ6bOCHJkBUNUinCozfQw07ZGqnuXFvgMyRVNvgX9gbpjZXFTbnQQB2juV/3tuA+V1/i/1FPIObOpJguD8QX/pR85VGEDJhp4kCNDZAS9eB3Wlvjn+juV966I2VcEn9zjHAdjwXE8SBOfr9c/0xPLpP3qSIEDFdtj5FuDUs7x77d3dSRCcWqGry1w1iptq4LWf9iRBgF3LndkkvFG9B176YU8SBPj0XuecHgFWFK/oToIAta21PLrpUdo624IY1cgw96G5X5n70NyCuQ/N7XR9HnAaokMRkd+LyPd6vb5JRH4kIhtcry8RkadE5D84s0TEiciTIrJORP4lIitEJM+1boGIZIjIRBHZLCL3ishGEXnd9aw5IvKgiFzg+vpoEflQRNaKyCeuEmwTReQ9EVnl+jhuKN8fWCKkosG9Luf+6iaPNUqNjzVWuLc11zhXigCN5e7La4uc6Yd8wVPSKFrdk5yKVnpY7mrraHHW7c/VjdrY1si2ave7B/vrXAXDW+s8Fydv8LKObnMNNFd72N7DORuBdlbvdGvbXLmZ1o4A1dEdoVxJ716c6ZfE9fneISbDJ3AenevyJeDTfussAb6pqsuA7wFVqjoP+BXOlEieTAXuUNXZQDWumSS69Jqi6VpVnQ+cijNg8wDwWVVd5Irr1sP/1hwhnwgnZcTTv6DFSdMyyUwKQoWWUJM2yb1STOYsSHZ1HaZNxu2HM+mkwd1HO5QpHuaSnvdliHLNYjPni+7L57h6gyLjPE8HNeVUAFJiUjhrknsv0NyMuc4X8Vkw63z37TOmehM5JI2FrH71OsMjnTkdjwDHjnGfjulzuZ8jPjKAc22OTIeahumwqOpqIEtEskVkPs40TP2LeL/R63nz43GSJ6q6AThYGc7dqrrG9fVKnIl0e3ObosnV7RoJ3OuqQ/oUMOT+8pBPhDPHJHL7xQtJi3cGaBw7KY2fnT2T+KiQv33qfxkznHt+ia5Zt8YshC/cDV2lwEbNhgsf6pnoN+d4OPP3EO2ptu9hmHCcM/9hRIxz//Goy2B2r+Q0eRkcd42TYMIjYck1Tj3ULrPOc7YJC3f2ccrPIMfppQmTMC6cdiFnTToLQYiLiON/jv4f5mW67j9GRMEJP4JpZzivY1Lg3DtgzALvYo9Lg/Pvcs4ZOOfwy/+EzBlDOSPDxsJRC7l20bXEhMcQJmF8ceoXOWPSGcEOayQI1DRM/fWe9sjbkYa97z914D5m5WBTNP0AKMWZ3ikPiPKwzqB4XXR7OPFHibWi6iYaW9sZnRRDQkxAC+uauhJoqnZmV/c06rFmv1NrNCnbd0mwS2cnVBc6n1PG9x2xCtDR7tyPQyElx5kwuLf2VqjeC2FhzvJ+tUxb2lsobigmMjyS7Phs93qarQ1Qux8iYp3jD1ZTDdQVQ2xyzxuKI0SndrK/fj8dnR1kJ2T3FBsPHYMeuj73obkFON2h/RWu/+b6iYcdiMhsnC7XDOAkIBp4UVXniMglQJ6qXu1a98dArqpe6ZrAfS3OJO75IlKAk7wSurZ3bXM9kKCqN4nIg8CLwAs40zR1zV6fiNM1+kdgn6r+SUQuBe5X1SEN87fLHpfslNhghxC6Ekc7HweT7KHYtK+EhTldtAcTHgHph+hujIiCjIPPhhEdEc3E5IkH3z4qHjKGML1PbLLzcQQKkzDGJx7Gm4PQ9r84Cat396hPpmFyJaL9qlosIhMPsfrfgYdc0yOtxukaHXTxFVVtFZGuKZpicZLgqa79PyMiFwLLGeQkvJ7YFaExxgxPh3WV4xoY02capvXfXB+waZhEJByIVNVmEZkMvAVMc809OCzZFaExxhxBXEkvmPMPxgHLRSQSJ5lfOZyTIFgiNMYY40OqWodzH3DECPlRo8YYY0KbXRGaoGpub2Z3zW4qmyvJTshmYtLEviMrGyqgdL1TwSUtF7IX9Nm+obWBnTU7qW+tJyc5h7EJPh5YU7m7b63RfgNrDjQcoKC2gPCwcHKTc91mOi9pKKGgpoDoiGgmJ08mKbpv+bOtlVspqCkgISqB6anTyYjL6Hf8XU4t0dgUyJgO0T58jq691amGU1vsDEhKn+o+KnYYq2iqYHfNblSV3JRc0mPTfbr//XX72VO3h7iIOHJTckmM8vGIZTNsjJzfenPEaW5v5vEtj/OXlX9BUWLCY/jLKX/h+LHHOyvUlsD7f3LKnoHz6MQX74dppwFQ1VTFratv5entThm2lOgU7jz1TuZkzPF0uMErWgP/vsopCg5OUexzb4exiwCn+skPlv+A3bW7AVg8ejG/XPrL7mS8tXIrV791NSWNJQCcOuFUblh8A6PinYIAnxR/wvX/vZ6qlioAzpp0FlcvuJrxSa6RkoUfwj+/DC2uSjtLr3WePYzxwSjRjjZY9y948VqnXFx4JJx3N8z5gnsRg2FoT+0ebnj3BtZXrAdgetp0bjnxlkOP0B2EjeUb+d5b36Oy2XlG/Lwp53Hdout8nmzN8GBdoyZodlTv4M8r/4y6nplt7mjmZ+//jJIGJ3FQtLonCYJTWu21G7prkW6s2NidBAGqW6q5Jf8WGtqGPJraseWlniQIzkwPW14GQFV5dvuz3UkQ4JOST/i4yJmopbWjlfs33N+dBAHe3PMma8vWAlDZXMmtq2/tToIAL+9+mQ0VruM1lMN/ru1JggAf/A1K1vvme6vY4dRt7aqr2tEGL1wNFe6lzYajd/a+050EwXnT8VrBaz7Zd2NbI39d+dfuJAjw/I7n2Vix0Sf7N8OPJUITNAcaD7i1VTRXUN1VQ7N3wevuFXZ21yAtbXQvvr2ubB21vZPHUOz7xEPbCgBaOlpYUbzC4/EB6lvrWVnqXqu0q4ZmVXMVWyq3uC3vPidNNZ5rkdZ6OCeHo74UOvvV021rhAb3n8lw9GlJ/1KX8HHxx/jicbDa1lrWlbtXBSuuL/awtjkSWCI0QZMdn02YhLm1dd8nS/FQFWr0vO4KKuMSx7ktXpK9hJSYFN8EOOkkD20nAxATEcOyCe61So8eczQASdFJnDTOffuZ6c4UTpmxmRw1yr0Wcfc9zvgMyF7kfvz+8yEerqSxENmviERMsvdTQAXZCeNOcGtbNmGZe+Wew5Aancpx2e4TGkxIGmqVMjNcWSI0QZObksuvjvsVMeExAKTHpPO7E35HRqwrEWYvgs/8HLpKayWPh9N/2/3Hemb6TK5ecDUR4tzqnpQ8iesWXUdshI+qBE093fnoMuVUmN5T7/Kc3HP6FIc+b8p5LB69GICIsAi+OvOrzE6fDThVUr4+8+vMy3BqjSZFJ3Hl/CuZlOQMvgmXcC6ZfUlPUe7YZDjnzz1vBsKjnDqr/QttH660yfDFf0DX4J3YVLjgfmdy5BHg+LHHc3pOz8/mlHGnsGy8hyLqhyE6IprvLfgeU1KceSXDJZwr5l1hcyEewayyjAkqVaWwtpCalhpGx4/uHkjSrb0Vitc5Uw6lTXKbQb6to43CukIa2xoZlzCOtNg03wZYXwZlW5x5/7JmOjPB91LXUseeuj1EhEUwIWmCWxKuaa5hb/1eosKiyEnKITqi76wm+2v3U1BXQHxkPNNTpxPb/yqtrtSpdRqT5CQvX4/qrNztTP2UONrzFfgw1tDWwJ5aZxKECUkTfD4zRVVzFfvq9hEbEUtOUg6R/WdK8b/hP2rpCGGJ0BhjhidLhAFiXaPGGGNCmiVCY4wxIc0SoTHGmJBmidAYY0xIsxJrxhmZWLPXeY4sLRfCwgN3bFWnnmZjpVPvcpDPsTW11LGtcjP1bQ1MTBjH2LSpgzt+a6Nz/M5253uPSRp4m0Goaalhb91eosOjmZA4wW3UaNfIxLjIOCYkTSAyLOAjE40JeZYIQ13RanjyG84Q/YhoOO03sOArEBU38LZD1d4KG5+FF3/gVDVJHA0XPgQTjh14W+BA1W4e3/VvHtz4EO3azqSkSfxyyY0sGO3lDDC1JbD8ZljziJOQc09xnt1LO8SM9IOwu3o3P/vgZ6wrX9f9HOG35nyL1FinMPf2qu385N2fsKN6BxESwRXzr+DimReTFOXbZGyMOTTrGg1lTdVOPctq51ks2lvg5R/1zLbgb2Vb4fkrnSQIUFcCz37HuUL1wvrqbdy34R+0q1MqbHftbv6+7h5q670sE1b4Pqx+2EmCALuWw9onBvtdeNTe2c5jmx/rLtXVqZ08tOkh1pY7tUab25u5bfVt7Kje4ayv7dy+5nY2VWzyyfGNMd6zRBjKGsqgeK17e3VhYI5fswe00/3Y9d4lwv0NJW5t+aX5HGgq8+74Be+7t215EVqHXrS7tqWWd/a949a+uWIz4BQI/7DoQ7fl++r2DfnYxpjBsUQYymJTPXcDJo0JzPETRru3xWdCnHdT3WR6mBJnZtpMUqO9nKZorIdanpNOAh+UaEuISmDRKPf9T05xKuMkRiV6nC5qdJyHc2KM8StLhKEsPgM+fxtEJfS0Lb0OsuYG5vhZM+DUX/TMfxcRA+f+3Rk044U5yVM4a9JZ3a+To5O5ZsFVpCe5F+P2aNLJMPHEntepubDoGxA29H8WUeFRfGvOt8iKy+puWzZ+GfMz5wMQHxnP9XnXkxKd0r38/CnnMyvD6lkaE2hWYs04c9NVFTpXiL6eBX0gbU3OvcKGcqfWZfqUQSWi8upCttbuoq6tnokJ45kxasHgjt9QAeVboaMdMqb6/Gq4uKGYwppCoiOiyU3OJbnf1eq+un3sqd1DfFQ8k5Mnk9D7TYkJdVZiLUAsERpjzPBkiTBArGvUGGNMSLNEaIwxJqRZIjTGGBPSLBEaY4wJaVZizfhffRk0VbqeETyMGeRri6C1HhLHQHSi+/LqvdDe7NQpjfLtiNf2znaK6osAyE7IJiLM/smEiqb2JkobSokKjyI7YXA1cM3IYv+qjX8VvA//vgqqCiBzFpx7G4zzshZoeytsexVe+oHzeMXE4+GsWyBrprO8rQk2Pg+v/RSaqmDamXDaryFjik9CL28s59HNj/LwpodRlG/M+gZfm/k1MuMyfbJ/M3wV1hby5/w/8/bet0mMTOT6o6/nzElnEuuDYgtm+LGuUeM/Fbvg8YucJAhQtgn+9TWoLfZu+wMb4alvOEkQnKT6yg3QUu+8Ll4Dz1/hJEGAba/Au390EqgPfFD8Af/Y8A/aOtto72zn/g33eyyLZo4sbR1tPLDhAd7e+zYAdW11/PzDn7OxPEA1eE3AWSI0/lNdCC11fdvqinuKfA+kYmdPQewuu99xinMDlG9332bTc9DgZdHtAbyy+xW3tpd3veyTfZvhq6K5glcLXnVr31WzKwjRmECwRGj8Jza1p3xal/AoiE3xbntPNUeTsnvuE8ZnuC9Pn9q3ZNwQzE13LzU3J9O9Pqg5ssRHxjMpeZJbe0ash983c0SwRGj8J3M6nPg/fdtOuxnSJnu3/ei5MPsLPa/DwuGcv0DiKOf1mIWQu6xneXgUnPE77xPtAE6feDpZsT21QrNiszhz4pk+2bcZvhKjEvlR3o+ICovqbjt61NHMSrc6sEcqK7Fm/KulDko3OPcFU8ZD1uzBTfrbUOFs31TpJNCsWRDea4xXXalzL7G5xqmTmjXT/Sp0CPbV7WN79XZUlWmp0xiX6GVBbzOiqSo7q3eyq2YX8ZHxTE+dTkZcwK8IrcRagFgiNMaY4ckSYYBY16gxxpiQZonQGGNMSLNEaIwxJqRZIjTGGBPS/JoIRWS8iCwXkc0islFErvWwzskiUiMia1wfN/ozppGqrLGMyqbKw9u4s8Op19lU7dOYvNbaADX7nZJonrTUOcvbWzwurmupo7ShlLbONj8G6R/a2cmBql1U1+4PyvGb25spaSihsa0xKMc3ZiTwd63RduBHqrpKRBKBlSLyhqpu6rfee6p6jp9jGZEqmip4YecLPLDhAWIiYrh20bWcMv4U4iK9fAShqhA+uRtWPwqJ2XD6zTDppL6PIPhT0Rp48xewbwXkngKn/C+Mmt2zfO8n8PqNULoepp8FJ/4YMqcBzhD2/JJ8bsm/hcK6Qs6adBaXzL6ECUkTAhP7EJVW7uDZHc/z2K7nSYpM5Ifzvsvx45cRE5MUkONvr9rO39f8nQ+KPmBB5gKuW3QdszLsWThj+gvo4xMi8m/gdlV9o1fbycD1g0mEofT4xFPbnuKXH/2yT9tdp97F0rFLB964ox1e+z/45K6eNgmDb78FYxf5OFIPqvfCfcugvlfJs4xpcMnLkJAJ5Tvg3pP7lmGbsBS+8gTEJLGtchsXvXRRnyvB0yeezs1LbyY6Itr/8Q/R/Stv5S8b7u3T9sDJt5KXc4rfj13ZVMmlr13apyxYekw6/zz7nzaTwshhj08ESMDuEYrIRGAhsMLD4iUislZEXhGR2R6Wh6TGtkae3PqkW/t7+9/zbgf1JbD6ob5t2gkHNvsgOi9U7uqbBAHKt0HVbufrih3utUj3fNBdi3RXzS637tDXC16npLHEXxH7THXtfp4scK9LurpsbUCOv69+n1ttzIrmCgprCwNyfGNGkoAkQhFJAJ4BrlPV2n6LVwE5qjofuA14/iD7+I6I5ItIfllZmV/jHS6iwqIYl+BeyWRM/BjvdhARAwmj3Ns9zennD55qfkpYT3u0h+WRsc4HTs3H/pKjk4kOH/5Xg1GRcYyOca9Ekh6TGpDjx0bEEi7hbu2ezqkxoc7viVBEInGS4GOq+mz/5apaq6r1rq9fBiJFxO0viKreo6p5qpqXmRka88FFhEfwzdnf7FPzMC0mjaXZXnSLglOU+vTf9C05ljUbshf6ONKDyJgKi77Zt+34H/bUGs2cCdPP7rv8MzdCqlPweEbaDBZl9e3C/fHRP2Z0/Gh/RewzcbGpfG/Ot4iQnnuxo2NHsSgrMOd+YtJEvj33233avjDlC+Qm5wbk+MaMJH69RygiAjwEVKrqdQdZZzRQqqoqIouBp3GuEA8aWCjdI1RVtlRuYUvlFqLCo5iVPstjZfyDam915u0r3ejMBpG9CFIDONikvgyKV0P1Pkid6CThuF5XRXUlULTaqUWaPgXGLuxzxVrSUMLG8o1UNlcyOWUys9JnERMRE7j4h6CjvZXNJSvZVr2dmIgYZqfNIicrcLNX1LTUsLFiI/vq9jEmfgyzM2aTFpMWsOObIbN7hAHi70R4PPAesB7odDX/LzABQFXvEpGrgStxRpg2AT9U1UPOfhpKidAYE7IsEQaIX8fQq+r7DPDDVNXbgdv9GYcxxhhzMFZZxhhjTEizRGiMMSakWSI0xhgT0iwRjhStDdDWHOwoDk97K9SVQWfnwOsaY0yABajgpDlszTWw/Q348DbnsYITfgg5x0NE1MDbDgd7P4WVD8K+TyD3JJj/VecRCWOMGSYsEQ5329+AZ77V87rwffjmyzDxuODF5K2y7fDs5T0l1cq3wb6V8KVHIWVscGMzxhgX6xodztqa4KM7+rapwrZXghPPYJVv6UmCXYpWOe3GGDNMWCIcziQcYlPc26MDM43PkB2sJugIqQxjjAkNlgiHs4goWHqtU6i6S2QcTP1s8GIajKzZztyHvc25ALJsTjxjzPBh9wiHuwnHOfP37XgDohJhyjIYMz/YUXknZSyc8Tso+ABK1sG4PJiwpG+tUWOMCTJLhMNdRBTkLHE+RqJRs5wPY4wZpqxr1BhjTEizRGiMMSakWSI0xhgT0iwRGmOMCWmWCI0xxoQ0GzXqhY1FNbywtojCikbOWzCWJbnpJMdFBjssR0ud83jC2schaSzMvXB41fKs3AVbX4Hd78LU05xnIFMmBDuqwGipg8IPYc3jkDgK5n0Zxi4KdlTGmH5EVYMdw6Dl5eVpfn5+QI61rbSOC+78kNrm9u6235w/h68ckxOQ4w9o3VPw7Ld7XkfGwWWvwZh5wYupS0M5PH6xU3C7y4zPwXl3Qkxi8OIKlA3PwtOX9ryOjHX9bEbIc6Am2CTYAYQK6xodwMb9NX2SIMBf39xOWd0wmBKpqRr++7u+bW2NsHdFUMJxU76tbxIE2PIfqNwZnHgCqakG/vuHvm1tTVD4UXDiMcYclCXCAXR6uGBWdT6CThXUwxx/wyI4Dh7HcInPnwTQDvd2Tz8vY0xQWSIcwJyxScRHhfdpu3rZFLKShkHh6LhUOPHHfdsiYmD84uDE01/GVBizoG/b1NMhfXJQwgmomGQ48Sd92yKiIWcETJ9lTIixe4ReWLevmqfy91FQ0cCX88Zz/NQMUuKGycS4TbVQ8F9n8tuksbDoG05Nz+GiYgdsegF2vAUzzoYZZ0HqxGBHFRjNtVDwLuQ/CImjYdE3nZ+N2K0f4xX7RQkQS4TGGDM8WSIMEOsaNcYYE9IsERpjjAlplgiNMcaENEuExhhjQpolQmOMMSHNao2akLa1OJ9PSj6lqaOZY0ctZtboPCIio73buLMD9q+CgvecZwQnnQij5/o3YGOMz1kiNCFrc9GnXLL8ahrbGwH4+6aHuPfkv3L0hJO928Gej+DhzzsJESAqAS592WqJGjPCWNeoCVnv7X+vOwkCdGgHD255jPZWL+rIdrTDh7f1JEGA1nrY+qofIjXG+JMlQhOyqltr3doqW+po17aBN+5sh8YK9/amSh9EZowJJEuEJmSdPPZEt7avTTmfmGgvpoiKjIFjrnBvn3G2DyIzxgSSJUITsuaNzuOOE/7A3LRZTE6ZzM1H/5Tjx53g/Q6mnArn3w2ZMyD7KPjKv2Dc0f4L2BjjF1Zr1IS8xsZKOrSDxPjMw9tBcy1IGEQn+DYwE+qs1miA2KhRE/Li4tKGtoOYJN8EYowJCusaNcYYE9IsERpjjAlplgiNMcaENEuExhhjQpolQmOMMSHNEqExxpiQZonQGGNMSLNEaIwxJqRZIjTGGBPSLBEaY4wJaZYIjTHGhDRLhMYYY0KaJUJjjDEhzRKhMcaYkGaJ0BhjTEizRGiMMSak+TURish4EVkuIptFZKOIXOthHRGRW0Vkh4isE5FF/ozpiFS+Hba8BDuXQ/2BYEdjjDEjir9nqG8HfqSqq0QkEVgpIm+o6qZe65wJTHV9HAPc6fpsvLFvJTxyHrTUOq8nLIEv3Asp44MaljHGjBR+vSJU1WJVXeX6ug7YDIztt9q5wMPq+BhIEZEx/ozriNHaBO/8ticJAuz5CPZ9GryYjDFmhAnYPUIRmQgsBFb0WzQW2Nvr9T7ckyUi8h0RyReR/LKyMr/FOaK01kHJOvf2qoKAh2KMMSNVQBKhiCQAzwDXqWpt/8UeNlG3BtV7VDVPVfMyMzP9EebIE5cOs7/g3j5mQcBDMcaYkcrviVBEInGS4GOq+qyHVfYBvW9ojQOK/B3XESEsHBZ/B6af7byOjIXTboaxecGNyxhjRhC/DpYREQH+AWxW1T8fZLUXgKtF5AmcQTI1qlrsz7iOKOm58MV7oXovRERB6iQQTxfZxhhjPPH3qNGlwNeB9SKyxtX2v8AEAFW9C3gZOAvYATQCl/o5piNPVDxkzQh2FMYYMyL5NRGq6vt4vgfYex0FrvJnHMYYY8zBWGUZY4wxIc0SoTHGmJBmidAYY0xIs0RojDEmpFkiNMYYE9IsERpjjAlplgiNMcaENEuExhhjQpolQmOMMSFNnMIuI4uIlAGFQTh0BlAehON6azjHN5xjA4tvKIZzbDBy4ytX1TMCHUwoGpGJMFhEJF9Vh+3UDsM5vuEcG1h8QzGcYwOLzwzMukaNMcaENEuExhhjQpolwsG5J9gBDGA4xzecYwOLbyiGc2xg8ZkB2D1CY4wxIc2uCI0xxoQ0S4TGGGNCmiXCgxCRcBFZLSIvelh2sojUiMga18eNAY6tQETWu46d72G5iMitIrJDRNaJyKJhFFuwz12KiDwtIltEZLOILOm3PJjnbqDYgnbuRGR6r+OuEZFaEbmu3zrBPHfexBfM8/cDEdkoIhtE5HERiem3PGjnzkBEsAMYxq4FNgNJB1n+nqqeE8B4+jtFVQ/2kPCZwFTXxzHAna7PgXKo2CC45+5vwKuqeoGIRAFx/ZYH89wNFBsE6dyp6lZgAThvEoH9wHP9VgvaufMyPgjC+RORscA1wCxVbRKRJ4GLgAd7rRbsf7Mhza4IPRCRccDZwH3BjuUwnQs8rI6PgRQRGRPsoIJNRJKAE4F/AKhqq6pW91stKOfOy9iGi88AO1W1f3Wn4fJ7d7D4gikCiBWRCJw3OEX9lg+XcxeSLBF69lfgJ0DnIdZZIiJrReQVEZkdmLC6KfC6iKwUke94WD4W2Nvr9T5XWyAMFBsE79zlAmXAA65u7/tEJL7fOsE6d97EBsH9vetyEfC4h/Zg/t71drD4IAjnT1X3A7cAe4BioEZVX++32nA5dyHJEmE/InIOcEBVVx5itVVAjqrOB24Dng9EbL0sVdVFON0pV4nIif2Wi4dtAvWczECxBfPcRQCLgDtVdSHQANzQb51gnTtvYgv27x2uLtvPA095WuyhLaDPZw0QX1DOn4ik4lzxTQKygXgR+Vr/1Txsas+2BYglQndLgc+LSAHwBLBMRB7tvYKq1qpqvevrl4FIEckIVICqWuT6fADnPsjifqvsA8b3ej0O966YoMQW5HO3D9inqitcr5/GST791wnGuRswtmD/3rmcCaxS1VIPy4L2e9fLQeML4vk7FditqmWq2gY8CxzXb53hcO5CliXCflT1p6o6TlUn4nSxvK2qfd69ichoERHX14txzmNFIOITkXgRSez6GjgN2NBvtReAb7hGoh2L0xVTPBxiC+a5U9USYK+ITHc1fQbY1G+1oJw7b2IL5rnr5WIO3u0YlHPXz0HjC+L52wMcKyJxruN/BmcgXm/D4dyFLBs16iURuQJAVe8CLgCuFJF2oAm4SANXomcU8Jzr33ME8E9VfbVffC8DZwE7gEbg0mEUWzDPHcD3gcdcXWi7gEuHybnzJragnjsRiQM+C3y3V9twOXfexBeU86eqK0TkaZyu2XZgNXDPcDp3oc5KrBljjAlp1jVqjDEmpFkiNMYYE9IsERpjjAlplgiNMcaENEuExhhjQpolQjMiiMj/iVO9f504Mwf4rCCxOLMSuM0y0mv5JSJyu6+O52H/E0XkK4E6njGmL3uO0Ax74kxHdA6wSFVbXNVAooIcli9NBL4C/DPIcRgTkuyK0IwEY4ByVW0BUNVyVS0SkaNE5L+uAt+vdVXrF5F3ROSvIvKhOPO/LXa1L3a1rXZ9nn6IYw5IRL4mIp+4rlDvFmf6H0SkXkRudhV3/lhERrnaJ7tefyoivxSReteufgec4NrPD1xt2SLyqohsF5E/DCVOY8yhWSI0I8HrwHgR2SYifxeRk0QkEqdw8gWqehRwP3Bzr23iVfU44HuuZQBbgBNdRa1vBH5zuAGJyEzgyzhFxhcAHcBXu44NfOwq7vwucLmr/W/A31T1aPrWkbwBZ568Bar6F1fbAtf+5wJfFpHedSiNMT5kXaNm2FPVehE5CjgBOAX4F/BrYA7whqukWzjOFDddHndt+66IJIlICpAIPCQiU3Eq+0cOIazPAEcBn7qOHwsccC1rBbruOa7EKfsFsAQ4z/X1P3Gm5jmYt1S1BkBENgE59J2mxxjjI5YIzYigqh3AO8A7IrIeuArYqKpLDraJh9e/Apar6vkiMtG1v8MlwEOq+lMPy9p61bDs4PD+nbX0+vpw92GM8YJ1jZphT0Smu67iuizAqd6f6RpIg4hESt+JVr/saj8ep5J/DZAM7Hctv2SIYb0FXCAiWa7jpIlIzgDbfAx80fX1Rb3a63CuVo0xQWCJ0IwECThdmptEZB0wC+ce3wXA70VkLbCGvnO8VYnIh8BdwLdcbX8AfisiH+B0pQ7GJSKyr+sDqAV+BrzuiukNnEE9h3Id8EMR+cS1bo2rfR3Q7hpc84ODbWyM8Q+bfcIccUTkHeB6Vc0Pdiy9uaYJalJVFZGLgItV9dxgx2VMqLP7DsYEzlHA7a7JWauBy4IbjjEG7IrQmG4icilwbb/mD1T1qmDEY4wJDEuExhhjQpoNljHGGBPSLBEaY4wJaZYIjTHGhDRLhMYYY0KaJUJjjDEh7f8DVVUnRZTnFYwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 444.75x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(data = iris, x = 'Sepal_Length', y = 'Sepal_Width', hue = 'Species')\n",
    "\n",
    "#ravinder:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b50a94c6",
   "metadata": {},
   "source": [
    "### Which features would be best used to predict species?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7e1c504b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fd443c3dca0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 444.75x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(data = iris, x = 'Petal_Width', y = 'Petal_Length',\n",
    "            hue = 'Species',\n",
    "#            style = 'nnnnnn',\n",
    "#            size = 'nnnnnnn'\n",
    "           )\n",
    "\n",
    "#much stronger-looking correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "1fb038aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fd41967b2e0>"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 804.75x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#ravinder:\n",
    "sns.pairplot(data = iris, hue = 'Species')\n",
    "#gives a quick overview to get an idea what's good for the question"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "ed4b10b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Species', ylabel='Petal_Length'>"
      ]
     },
     "execution_count": 243,
     "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(y = \"Petal_Length\", x = 'Species', data = iris)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f94e03e6",
   "metadata": {},
   "source": [
    "## Using the lesson as an example, use seaborn's load_dataset function to load the anscombe data set. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "93691d61",
   "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>dataset</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>IV</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>II</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>II</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>II</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>I</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.68</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dataset     x     y\n",
       "42      IV   8.0  7.91\n",
       "14      II   9.0  8.77\n",
       "19      II  12.0  9.13\n",
       "11      II  10.0  9.14\n",
       "10       I   5.0  5.68"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anscombe = sns.load_dataset('anscombe')\n",
    "anscombe.sample(5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "21c30a9c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 44 entries, 0 to 43\n",
      "Data columns (total 3 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   dataset  44 non-null     object \n",
      " 1   x        44 non-null     float64\n",
      " 2   y        44 non-null     float64\n",
      "dtypes: float64(2), object(1)\n",
      "memory usage: 1.2+ KB\n"
     ]
    }
   ],
   "source": [
    "anscombe.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "305da089",
   "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>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>44.000000</td>\n",
       "      <td>44.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>7.500682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.198837</td>\n",
       "      <td>1.958925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.117500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>7.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>8.747500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>12.740000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               x          y\n",
       "count  44.000000  44.000000\n",
       "mean    9.000000   7.500682\n",
       "std     3.198837   1.958925\n",
       "min     4.000000   3.100000\n",
       "25%     7.000000   6.117500\n",
       "50%     8.000000   7.520000\n",
       "75%    11.000000   8.747500\n",
       "max    19.000000  12.740000"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anscombe.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0601b06a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "8fa92c0c",
   "metadata": {},
   "source": [
    "### Use pandas to group the data by the dataset column, and calculate summary statistics for each dataset. What do you notice?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c72907ec",
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">x</th>\n",
       "      <th colspan=\"8\" halign=\"left\">y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dataset</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>I</th>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.316625</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.500909</td>\n",
       "      <td>2.031568</td>\n",
       "      <td>4.26</td>\n",
       "      <td>6.315</td>\n",
       "      <td>7.58</td>\n",
       "      <td>8.57</td>\n",
       "      <td>10.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>II</th>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.316625</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.500909</td>\n",
       "      <td>2.031657</td>\n",
       "      <td>3.10</td>\n",
       "      <td>6.695</td>\n",
       "      <td>8.14</td>\n",
       "      <td>8.95</td>\n",
       "      <td>9.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>III</th>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.316625</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>2.030424</td>\n",
       "      <td>5.39</td>\n",
       "      <td>6.250</td>\n",
       "      <td>7.11</td>\n",
       "      <td>7.98</td>\n",
       "      <td>12.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IV</th>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.316625</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.500909</td>\n",
       "      <td>2.030579</td>\n",
       "      <td>5.25</td>\n",
       "      <td>6.170</td>\n",
       "      <td>7.04</td>\n",
       "      <td>8.19</td>\n",
       "      <td>12.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            x                                               y            \\\n",
       "        count mean       std  min  25%  50%   75%   max count      mean   \n",
       "dataset                                                                   \n",
       "I        11.0  9.0  3.316625  4.0  6.5  9.0  11.5  14.0  11.0  7.500909   \n",
       "II       11.0  9.0  3.316625  4.0  6.5  9.0  11.5  14.0  11.0  7.500909   \n",
       "III      11.0  9.0  3.316625  4.0  6.5  9.0  11.5  14.0  11.0  7.500000   \n",
       "IV       11.0  9.0  3.316625  8.0  8.0  8.0   8.0  19.0  11.0  7.500909   \n",
       "\n",
       "                                                   \n",
       "              std   min    25%   50%   75%    max  \n",
       "dataset                                            \n",
       "I        2.031568  4.26  6.315  7.58  8.57  10.84  \n",
       "II       2.031657  3.10  6.695  8.14  8.95   9.26  \n",
       "III      2.030424  5.39  6.250  7.11  7.98  12.74  \n",
       "IV       2.030579  5.25  6.170  7.04  8.19  12.50  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anscombe.groupby('dataset').describe()\n",
    "#i'm noticing the same mean across 'datasets' (differing from x to y), yet different std, etc. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b1977d1",
   "metadata": {},
   "source": [
    "### Plot the x and y values from the anscombe data. Each dataset should be in a separate column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "20b27479",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fd419dc59d0>"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.barplot(data = anscombe, x = 'dataset', y = 'y') #, hue = 'dataset')\n",
    "# sns.barplot(data = tips, x = 'sex', y = 'tip', hue = 'time')\n",
    "\n",
    "#not getting what i need here. not even sure what i need\n",
    "\n",
    "sns.relplot(data = anscombe, x = 'x', y = 'y', col = 'dataset') #, hue = 'dataset')\n",
    "\n",
    "#ok now i see."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "1340ea32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fd439386fa0>"
      ]
     },
     "execution_count": 247,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(data = anscombe, x = 'x', y = 'y', col = 'dataset')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02d53cae",
   "metadata": {},
   "source": [
    "### Load the InsectSprays dataset and read it's documentation. Create a boxplot that shows the effectiveness of the different insect sprays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "41a1f889",
   "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>count</th>\n",
       "      <th>spray</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>9</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>4</td>\n",
       "      <td>D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>5</td>\n",
       "      <td>D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>3</td>\n",
       "      <td>E</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    count spray\n",
       "62      9     F\n",
       "29      3     C\n",
       "41      4     D\n",
       "38      5     D\n",
       "53      3     E"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Insect_Sprays = data('InsectSprays')\n",
    "Insect_Sprays.sample(5)\n",
    "#spray is the categorical, count is the numerical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "e82c4812",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Comparing Efficacy of Insect Sprays')"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.boxplot(data = Insect_Sprays)\n",
    "plt.figure(figsize=(8,6))\n",
    "sns.boxplot(data = Insect_Sprays, y = 'count', x = 'spray')\n",
    "plt.title(\"Comparing Efficacy of Insect Sprays\")\n",
    "#c, d, and e are more effective bc they produce a lower bug count after application"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98de93fe",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "2fb023cf",
   "metadata": {},
   "source": [
    "### Load the swiss dataset and read it's documentation. The swiss dataset is available from pydatset rather than seaborn. Create visualizations to answer the following questions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "a0572245",
   "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>Fertility</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Examination</th>\n",
       "      <th>Education</th>\n",
       "      <th>Catholic</th>\n",
       "      <th>Infant.Mortality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avenches</th>\n",
       "      <td>68.9</td>\n",
       "      <td>60.7</td>\n",
       "      <td>19</td>\n",
       "      <td>12</td>\n",
       "      <td>4.43</td>\n",
       "      <td>22.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Le Locle</th>\n",
       "      <td>72.7</td>\n",
       "      <td>16.7</td>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>11.22</td>\n",
       "      <td>18.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sierre</th>\n",
       "      <td>92.2</td>\n",
       "      <td>84.6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>99.46</td>\n",
       "      <td>16.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morges</th>\n",
       "      <td>65.5</td>\n",
       "      <td>59.8</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>5.23</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Val de Ruz</th>\n",
       "      <td>77.6</td>\n",
       "      <td>37.6</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>4.97</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Fertility  Agriculture  Examination  Education  Catholic  \\\n",
       "Avenches         68.9         60.7           19         12      4.43   \n",
       "Le Locle         72.7         16.7           22         13     11.22   \n",
       "Sierre           92.2         84.6            3          3     99.46   \n",
       "Morges           65.5         59.8           22         10      5.23   \n",
       "Val de Ruz       77.6         37.6           15          7      4.97   \n",
       "\n",
       "            Infant.Mortality  \n",
       "Avenches                22.7  \n",
       "Le Locle                18.9  \n",
       "Sierre                  16.3  \n",
       "Morges                  18.0  \n",
       "Val de Ruz              20.0  "
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "swiss = data('swiss')\n",
    "swiss.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "ff27dc54",
   "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>Fertility</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Examination</th>\n",
       "      <th>Education</th>\n",
       "      <th>Catholic</th>\n",
       "      <th>Infant.Mortality</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Province</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Courtelary</th>\n",
       "      <td>80.2</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>9.96</td>\n",
       "      <td>22.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delemont</th>\n",
       "      <td>83.1</td>\n",
       "      <td>45.1</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>84.84</td>\n",
       "      <td>22.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Franches-Mnt</th>\n",
       "      <td>92.5</td>\n",
       "      <td>39.7</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>93.40</td>\n",
       "      <td>20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moutier</th>\n",
       "      <td>85.8</td>\n",
       "      <td>36.5</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>33.77</td>\n",
       "      <td>20.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neuveville</th>\n",
       "      <td>76.9</td>\n",
       "      <td>43.5</td>\n",
       "      <td>17</td>\n",
       "      <td>15</td>\n",
       "      <td>5.16</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Fertility  Agriculture  Examination  Education  Catholic  \\\n",
       "Province                                                                 \n",
       "Courtelary         80.2         17.0           15         12      9.96   \n",
       "Delemont           83.1         45.1            6          9     84.84   \n",
       "Franches-Mnt       92.5         39.7            5          5     93.40   \n",
       "Moutier            85.8         36.5           12          7     33.77   \n",
       "Neuveville         76.9         43.5           17         15      5.16   \n",
       "\n",
       "              Infant.Mortality  \n",
       "Province                        \n",
       "Courtelary                22.2  \n",
       "Delemont                  22.2  \n",
       "Franches-Mnt              20.2  \n",
       "Moutier                   20.3  \n",
       "Neuveville                20.6  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "swiss.index.name = 'Province'\n",
    "swiss.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b24b9e55",
   "metadata": {},
   "source": [
    "### Create an attribute named is_catholic that holds a boolean value of whether or not the province is Catholic. (Choose a cutoff point for what constitutes catholic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "0ca0ef0a",
   "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>Fertility</th>\n",
       "      <th>Agriculture</th>\n",
       "      <th>Examination</th>\n",
       "      <th>Education</th>\n",
       "      <th>Catholic</th>\n",
       "      <th>Infant.Mortality</th>\n",
       "      <th>is_catholic</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Courtelary</th>\n",
       "      <td>80.2</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>9.96</td>\n",
       "      <td>22.2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delemont</th>\n",
       "      <td>83.1</td>\n",
       "      <td>45.1</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>84.84</td>\n",
       "      <td>22.2</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Franches-Mnt</th>\n",
       "      <td>92.5</td>\n",
       "      <td>39.7</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>93.40</td>\n",
       "      <td>20.2</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moutier</th>\n",
       "      <td>85.8</td>\n",
       "      <td>36.5</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>33.77</td>\n",
       "      <td>20.3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neuveville</th>\n",
       "      <td>76.9</td>\n",
       "      <td>43.5</td>\n",
       "      <td>17</td>\n",
       "      <td>15</td>\n",
       "      <td>5.16</td>\n",
       "      <td>20.6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Fertility  Agriculture  Examination  Education  Catholic  \\\n",
       "Courtelary         80.2         17.0           15         12      9.96   \n",
       "Delemont           83.1         45.1            6          9     84.84   \n",
       "Franches-Mnt       92.5         39.7            5          5     93.40   \n",
       "Moutier            85.8         36.5           12          7     33.77   \n",
       "Neuveville         76.9         43.5           17         15      5.16   \n",
       "\n",
       "              Infant.Mortality  is_catholic  \n",
       "Courtelary                22.2        False  \n",
       "Delemont                  22.2         True  \n",
       "Franches-Mnt              20.2         True  \n",
       "Moutier                   20.3        False  \n",
       "Neuveville                20.6        False  "
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "swiss['is_catholic'] = np.where(swiss.Catholic >= 60, True, False)\n",
    "swiss.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "id": "f6e75584",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([21.,  5.,  1.,  1.,  2.,  1.,  0.,  0.,  1., 15.]),\n",
       " array([  2.15 ,  11.935,  21.72 ,  31.505,  41.29 ,  51.075,  60.86 ,\n",
       "         70.645,  80.43 ,  90.215, 100.   ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 258,
     "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": [
    "plt.hist(swiss.Catholic)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bdb6d6c",
   "metadata": {},
   "source": [
    "### Does whether or not a province is Catholic influence fertility?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "id": "62147fb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Catholic', ylabel='Fertility'>"
      ]
     },
     "execution_count": 259,
     "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.scatterplot(data = swiss, x = 'Catholic', y = 'Fertility', hue = 'is_catholic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "id": "27c9114c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='is_catholic', ylabel='Fertility'>"
      ]
     },
     "execution_count": 260,
     "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(data = swiss, x = 'is_catholic', y = 'Fertility')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "id": "0ff204fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='is_catholic', ylabel='Fertility'>"
      ]
     },
     "execution_count": 264,
     "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 = 'is_catholic', y = 'Fertility', data = swiss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10b22036",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "86268f83",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d395e3ff",
   "metadata": {},
   "source": [
    "### What measure correlates most strongly with fertility?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "0644e580",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fertility           1.000000\n",
       "Agriculture         0.353079\n",
       "Examination        -0.645883\n",
       "Education          -0.663789\n",
       "Catholic            0.463685\n",
       "Infant.Mortality    0.416556\n",
       "is_catholic         0.605023\n",
       "Name: Fertility, dtype: float64"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "swiss.corr().Fertility\n",
    "#CHECK IT OUT: YOU CAN DO IT JUST FOR FERTILITY\n",
    "#looks like education is actually slightly more correlated with fertility, with is_catholic second"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "2786ec01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(swiss.corr(), cmap = 'RdBu_r',   #vs 'RdBu'\n",
    "           center = 0,\n",
    "           vmax = 1,\n",
    "           vmin = -1,\n",
    "            annot = True,\n",
    "            fmt = '.2f',\n",
    "            linewidth = 1,\n",
    "            linecolor = 'k',\n",
    "            #xticklabels = labels,\n",
    "            #yticklabels = labels\n",
    "           )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d821ce8",
   "metadata": {},
   "source": [
    "### Using the chipotle dataset from the previous exercise, create a bar chart that shows the 4 most popular items and the revenue produced by each."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "741fce01",
   "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>id</th>\n",
       "      <th>order_id</th>\n",
       "      <th>quantity</th>\n",
       "      <th>item_name</th>\n",
       "      <th>choice_description</th>\n",
       "      <th>item_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Chips and Fresh Tomato Salsa</td>\n",
       "      <td>nan</td>\n",
       "      <td>$2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Izze</td>\n",
       "      <td>[Clementine]</td>\n",
       "      <td>$3.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Nantucket Nectar</td>\n",
       "      <td>[Apple]</td>\n",
       "      <td>$3.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Chips and Tomatillo-Green Chili Salsa</td>\n",
       "      <td>nan</td>\n",
       "      <td>$2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Chicken Bowl</td>\n",
       "      <td>[Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream]]</td>\n",
       "      <td>$16.98</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  order_id  quantity                              item_name  \\\n",
       "0   1         1         1           Chips and Fresh Tomato Salsa   \n",
       "1   2         1         1                                   Izze   \n",
       "2   3         1         1                       Nantucket Nectar   \n",
       "3   4         1         1  Chips and Tomatillo-Green Chili Salsa   \n",
       "4   5         2         2                           Chicken Bowl   \n",
       "\n",
       "                                                           choice_description  \\\n",
       "0                                                                         nan   \n",
       "1                                                                [Clementine]   \n",
       "2                                                                     [Apple]   \n",
       "3                                                                         nan   \n",
       "4  [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream]]   \n",
       "\n",
       "  item_price  \n",
       "0     $2.39   \n",
       "1     $3.39   \n",
       "2     $3.39   \n",
       "3     $2.39   \n",
       "4    $16.98   "
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from get_db_url import get_db_url\n",
    "url = get_db_url('chipotle')\n",
    "sql = \"\"\"\n",
    "    SELECT * from orders\n",
    "\"\"\"\n",
    "chipotle_df = pd.read_sql(sql,url)\n",
    "chipotle_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "id": "e23a72ec",
   "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>id</th>\n",
       "      <th>order_id</th>\n",
       "      <th>quantity</th>\n",
       "      <th>item_name</th>\n",
       "      <th>choice_description</th>\n",
       "      <th>item_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4480</th>\n",
       "      <td>4481</td>\n",
       "      <td>1785</td>\n",
       "      <td>1</td>\n",
       "      <td>Canned Soft Drink</td>\n",
       "      <td>[Diet Coke]</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id  order_id  quantity          item_name choice_description  \\\n",
       "4480  4481      1785         1  Canned Soft Drink        [Diet Coke]   \n",
       "\n",
       "      item_price  \n",
       "4480        1.25  "
      ]
     },
     "execution_count": 268,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chipotle_df['item_price'] = chipotle_df.item_price.apply(lambda value : float(value[1:].strip()))\n",
    "# i ran the above code to get those item_price strings into float format\n",
    "chipotle_df.sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "id": "ec68ae51",
   "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>item_name</th>\n",
       "      <th>id</th>\n",
       "      <th>item_price</th>\n",
       "      <th>order_id</th>\n",
       "      <th>quantity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Chicken Bowl</td>\n",
       "      <td>1780635</td>\n",
       "      <td>7342.73</td>\n",
       "      <td>713926</td>\n",
       "      <td>761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Chicken Burrito</td>\n",
       "      <td>1238770</td>\n",
       "      <td>5575.82</td>\n",
       "      <td>497303</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Chips and Guacamole</td>\n",
       "      <td>1122252</td>\n",
       "      <td>2201.04</td>\n",
       "      <td>449959</td>\n",
       "      <td>506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Steak Burrito</td>\n",
       "      <td>818163</td>\n",
       "      <td>3851.43</td>\n",
       "      <td>328437</td>\n",
       "      <td>386</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              item_name       id  item_price  order_id  quantity\n",
       "17         Chicken Bowl  1780635     7342.73    713926       761\n",
       "18      Chicken Burrito  1238770     5575.82    497303       591\n",
       "25  Chips and Guacamole  1122252     2201.04    449959       506\n",
       "39        Steak Burrito   818163     3851.43    328437       386"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_popular = chipotle_df.pivot_table(aggfunc='sum', index='item_name').reset_index().sort_values(by='quantity', ascending = False).head(4)\n",
    "most_popular\n",
    "#practice not returning all the extraneous columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "id": "ce30b7c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([17, 18, 25, 39], dtype='int64')"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_popular.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "id": "8adfe197",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uTPLSgfoxSTa0185JklG1W5LUD6M8grof+K2q+jHgOOCMJIcDZwLrq2oJsL6N015bARwBLAPOTTKvLes8YBWwpD2WjbDdkqQeGFlAVdXtVXVNG74buAFYCCwH1rTJ1gAntuHlwEVVdW9VbQY2AccmOQSYX1VXVlUBFw7MI0mao2bkGlSSxcCzgM8BB1fV7dCFGHBQm2whcOvAbFtabWEbnlgf9j6rkowlGdu6desuXQdJ0swaeUAleTzwD8AbqurbU006pFZT1B9arDq/qpZW1dIFCxY8/MZKknpjpAGV5NF04fSeqvpgK9/RTtvRnu9s9S3AoQOzLwJua/VFQ+qSpDlslHfxBXgHcENV/fnAS+uAlW14JXDxQH1Fkr2THEZ3M8RV7TTg3UmOa8s8dWAeSdIcNcqeJJ4HvArYkOTaVvtd4GxgbZLXALcAJwNU1cYka4Hr6e4APKOqtrX5TgcuAPYFLmkPSdIcNrKAqqorGH79COCESeZZDaweUh8Djtx1rZMk9Z09SUiSesmAkiT1kgElSeolA0qS1EsGlCSplwwoSVIvGVCSpF4yoCRJvWRASZJ6yYCSJPWSASVJ6iUDSpLUSwaUJKmXDChJUi8ZUJKkXjKgJEm9ZEBJknrJgJIk9ZIBJUnqJQNKktRLBpQkqZdGFlBJ3pnkziRfGqgdkOTSJDe15/0HXjsryaYkNyZ56UD9mCQb2mvnJMmo2ixJ6o9RHkFdACybUDsTWF9VS4D1bZwkhwMrgCPaPOcmmdfmOQ9YBSxpj4nLlCTNQSMLqKr6FPDNCeXlwJo2vAY4caB+UVXdW1WbgU3AsUkOAeZX1ZVVVcCFA/NIkuawmb4GdXBV3Q7Qng9q9YXArQPTbWm1hW14Yn2oJKuSjCUZ27p16y5tuCRpZvXlJolh15VqivpQVXV+VS2tqqULFizYZY2TJM28mQ6oO9ppO9rzna2+BTh0YLpFwG2tvmhIXZI0x810QK0DVrbhlcDFA/UVSfZOchjdzRBXtdOAdyc5rt29d+rAPJKkOWyvUS04yXuBFwIHJtkC/D5wNrA2yWuAW4CTAapqY5K1wPXA/cAZVbWtLep0ujsC9wUuaQ9J0hw3soCqqldO8tIJk0y/Glg9pD4GHLkLmyZJ2g305SYJSZIexICSJPWSASVJ6iUDSpLUSwaUJKmXDChJUi8ZUJKkXjKgJEm9ZEBJknrJgJIk9ZIBJUnqJQNKktRLBpQkqZcMKElSLxlQkqReMqAkSb1kQEmSesmAkiT1kgElSeolA0qS1EsGlCSplwwoSVIv7TYBlWRZkhuTbEpy5my3R5I0WrtFQCWZB/w18DPA4cArkxw+u62SJI3SbhFQwLHApqr6WlV9H7gIWD7LbZIkjVCqarbbsENJTgKWVdWvtvFXAc+tql+fMN0qYFUbfRpw44w29JE7ELhrthuxh3Bbzxy39czZXbf1k6tqwcTiXrPRkp2QIbWHJGtVnQ+cP/rmjEaSsapaOtvt2BO4rWeO23rmzLVtvbuc4tsCHDowvgi4bZbaIkmaAbtLQH0eWJLksCSPAVYA62a5TZKkEdotTvFV1f1Jfh34GDAPeGdVbZzlZo3Cbnt6cjfktp45buuZM6e29W5xk4Qkac+zu5zikyTtYQwoSVIvGVADkvxwkouSfDXJ9Un+OclTk7wwyUcmmeftU/VqkeQPkrxxF7fztCRbk1ybZGOSDyR57C5Y5lt3VRsnLHuP3a5tuZ9tz4uT/PIOpt3l22om7KB9xya5LMlNSa5J8k9JnjHTbdwZrd3Tvm07ye+1fee6th89t9Xf8Ej2pem0o01zY3vfG9r/hT4iSV423rVckhNnej8zoJokAT4EXFZVT6mqw4HfBQ6ear6q+tWqun4m2jjB+6rq6Ko6Avg+8IpZaMMO7UnbtXXJ9ZDxqvqJVloMTBpQu+G22qEkBwNrgd+tqiVV9Wzgj4CnzG7Ldr0kPw78HPDsqnom8FPAre3lNwCP+MPONJxSVUcDzwP+uN31PC1J9po4XlXrqursVjqRrqu5GWNAbfci4L6q+pvxQlVdW1WfbqOPb5+ov5zkPe2PyYM+2bQOba9J8sUk6ye+QZJfS3JJkn2T/EqSq9qnnb8d/2OW5DtJVrdl/Gv7BZ9U26keB/xHG39ykvXtE9z6JE9KMi/J19J5YpIHkrygTf/pJP/tkW++Sc2V7XpBuh5Nxl//Tnt+YZJPJvl7YMPE8cFpgbOBn2xt+80k+yT5uyQbknwB+M1dsK2+k+TP2vZan2RBq78+3RHZdUkuGrK+i9u+cE17/MTA+l02yfsua7UrgJdPsil/HVhTVZ8dWKcrquofd7BdH9/af03bPssHpjm1rccXk7yr1X4+yeeSfCHJJ8Z/vumOtNck+XiSm5O8PMmftGV+NMmj23QntHk3JHlnkr2HbKOXJLmyten9SR4/YZJDgLuq6t62nndV1W1JXg/8CPDJJJ+callJ3pLk80m+lOT88W090IZHtfX535Ns73GPB+4Btg1u1zZ8UpILBrb/n7d2/fGQ8dOSvLXtDy8D/rTtv09JcnT7XbouyYeS7L+DNj18VeWju5Px9cD/m+S1FwLfovsH4UcBVwLPb69dBiwFFtB9Wjqs1Q9oz38AvJHuF3UdsDfwY8CHgUe3ac4FTm3DBfx8G/4T4M1D2nMasBW4FrgD+DQwr732YWBlG/7vwD+24Y8CR9B9wvs88HutLZsHlvlWt+uk2/UC4KSBab8zsA73DLTvQeNDpv3IQP23gL9rw08Hvgmcs7PbamA9T2nDbxn/mdL9Y/vebfiJQ5b/WGCfNrwEGJvqfYF92s9lCV1PL2sH121guR8Elk+xf0y2XfcC5rfhA4FN7X2OoOvC7MAJ+8P+bL8r+VeBPxvYT64AHg0cBXwX+Jn22ofojgrG1+WprX4h8IYJ++GBwKeAx7X67wBvmbAuj6fbd75Ct+8dP/DazQNtnnRZ4+vTht/F9n32MuA44L3A702yLS9r2+Y64HvAaydu1zZ8EnDBwPb/CA/ezwfHT2P7PjTxZ3Xd+DoCfwj8xa7+++ER1PRdVVVbquoBup1w8YTXjwM+VVWbAarqmwOvvYquJ/ZfrO7T1QnAMcDnk1zbxn+0Tft9uh0E4Ooh7zPufdUdyv8w3Sf1N7X6jwN/34bfRffHBLo/ti9ojz9q9efQhdVs2l22647WYfMU45N5Pt3PiKr6Mt3R2lSfQne0rQAeAN7Xht/N9p//dcB7kvwKcP+Q+R4NvC3JBuD9PPhUzrD3fTrdh5ubqvsL9e4p17RpRzk3JPnLHU0K/J8k1wGfABbSnep8MfCBqroLHrQ/LAI+1tr/JrogG3dJVd1H9/OcR/dhjTa+mK7fzs1V9ZVWX0P3ezLoOLpt8pm2b60Enjw4QVV9h27/W0X3Qed9SU4bsm5TLetFbRttaOs6uB5/C3ypqlYPWea4U6o7vfgk4I1JnjzFtOPeX1Xbphh/iCT70X3QubyVhm2zR8yA2m4j3c41mXsHhrfx0H9yDkP6B2y+RPeLsGhg2jXVXes4uqqeVlV/0F67r/3CT/Y+D9Km/TCT7xzjy/o08JN0PcP/M/BEuk/Hn5pq+bvAXNmu99N+X9ppl8Fz+/dMmH3i+GQm9jF5D1Of49/RthpmfJ1/lu4ra44Brs6E6w10pxfvoDvKWMqD12+y953OP1FuBJ79g8ZUPRf4n8B+rTTZdj2F7uj5mPaB4Q66I53J9oe/ovuk/wzgtW3aB7W/BezgfvBAW5dhfX1OFODSgX3r8Kp6zcSJqmpbVV1WVb9Pd3T/i9NdVpJ96I68Tmrr8bYJ6/FZugDbZ8gyJ7ZjK3AN8Nzx0sDLE+ff2f135Ayo7f4F2DvJr40XkjwnyfHTnP9K4Pgkh7V5Dxh47Qt0vzTrkvwIsB44KclB49NO85POZJ4PfLUNf5auKyjofsmvaMOfA34CeKCq/ovuk/Br6YJrlObKdr2Z7UG7nO6I4+G6G3jCwPin6H5GJHkq3R/tbY9gW0H3Oz1+TeeXgSuSPAo4tKo+Cfw23YeTiddP9gNub3/EX0V3pDGVLwOHJRm/2eGVk0z318Bp7RrGuMGbBW5m+HbdD7izqu5L8iK2H2GsB34pyQ/Bg/aH/YB/a8Mrd9D2YeuyONuvxb4KuHzCNP8KPG98miSPbT+zH0jytCRLBkpHA19vw4M/+8mWNR4cd7VrUifxYO+g+3D5/iEfMB4k3R2Dz2L7/ntHkh9r+8IvTDXvFH6wDlX1LeA/kvxke23YNnvEdouujmZCVVWSXwD+It1tlf9F98vzBrrTCzuaf2u62zo/2HaCO4GfHnj9inS3Rf9Tq78Z+Hib9j7gDLbvzNPxiiTPp/uDtIXuXDF013zemeRNdKcZXt3e/94kt9L9ckAXTK+kXcgflTm0Xd8GXJzkKro/kjvzKfM64P4kX6Q7n38u8DftdM797b1uZCe3VXMPcESSq+muHb2CLmze3U7LhO6a4H9OmO9c4B+SnAx8ckfrV1X/1X4u/5TkLroPQkcOme7fk7yC7oL7Qrqf31101yxg8u36HuDDScboPkx9uS1vY5LVwOVJttF9SDmN7lrT+5P8G90+ftgOttPEdXk12//wfx74mwnTbG2n696b7TdQvJnuetO4xwN/leSJdD/PTWz/+p/zgUuS3F5VLxq2rKr6SpK30f1O3syQ0+9V9eft5/iuJKe0DxSD3pPke3TXZC+oqqtb/Uy6U9y30p15mPgBZTouojsN/Hq68FxJt/8+Fvga7W/NrmRXR9IckuQ7VbUzf3yk3vEUnySplzyCkiT1kkdQkqReMqAkSb1kQEmSesmAkmZZtvc/t8PezqU9iQEl9cdipujtXNrTGFBSf0zs7Xxekj9N17v1dUleCz/oYfzyJGuTfCXJ2UlOSdeL+4aB3h2k3Zo9SUj9cSbwxqr6OYDWU8O3quo5rceBzyT5eJv2KLre279J91/8b6+qY5P8BvA6ut4npN2aASX110uAZ2b79yXtR/f1Ft8HPl9VtwMk+SowHlwb6L6DS9rtGVBSfwV4XVV97EHF5IU8uIfxBwbGx3volnZ7XoOS+mNib+cfA07P9m99fWqSx81Ky6RZ4CctqT8m9nb+l3R39l2TJHS90584W42TZpp98UmSeslTfJKkXjKgJEm9ZEBJknrJgJIk9ZIBJUnqJQNKktRLBpQkqZf+P6MA/Y3KZMhoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(data = most_popular, x = 'item_name', y = 'item_price')\n",
    "plt.xlabel(\"Item\", )\n",
    "plt.ylabel(\"Revenue\")\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97dd2967",
   "metadata": {},
   "source": [
    "### Load the sleepstudy data and read it's documentation. Use seaborn to create a line chart of all the individual subject's reaction times and a more prominant line showing the average change in reaction time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "4e43dfa8",
   "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>Reaction</th>\n",
       "      <th>Days</th>\n",
       "      <th>Subject</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>249.5600</td>\n",
       "      <td>0</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>258.7047</td>\n",
       "      <td>1</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250.8006</td>\n",
       "      <td>2</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>321.4398</td>\n",
       "      <td>3</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>356.8519</td>\n",
       "      <td>4</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>329.6076</td>\n",
       "      <td>5</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>334.4818</td>\n",
       "      <td>6</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>343.2199</td>\n",
       "      <td>7</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>369.1417</td>\n",
       "      <td>8</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>364.1236</td>\n",
       "      <td>9</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Reaction  Days  Subject\n",
       "1    249.5600     0      308\n",
       "2    258.7047     1      308\n",
       "3    250.8006     2      308\n",
       "4    321.4398     3      308\n",
       "5    356.8519     4      308\n",
       "..        ...   ...      ...\n",
       "176  329.6076     5      372\n",
       "177  334.4818     6      372\n",
       "178  343.2199     7      372\n",
       "179  369.1417     8      372\n",
       "180  364.1236     9      372\n",
       "\n",
       "[180 rows x 3 columns]"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sleepstudy = data('sleepstudy')\n",
    "sleepstudy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "80502cf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "sleepstudy['Subject'] = 'subject_' + sleepstudy['Subject'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "id": "90ccdb0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colors.ListedColormap at 0x7fd442eec8e0>"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (16,9))\n",
    "sns.lineplot(data = sleepstudy, x = 'Days', y = 'Reaction', hue = 'Subject') #, color = 'RdBu_r')\n",
    "sns.lineplot(data = sleepstudy, x = 'Days', y = 'Reaction', color = 'b')\n",
    "sns.color_palette(\"crest\", as_cmap=True)\n",
    "#don't forget the way to put two plots on one graph : ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "1ba43aad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fd434755fd0>"
      ]
     },
     "execution_count": 220,
     "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.relplot(data = sleepstudy, x = 'Days', y = 'Reaction', kind = 'line')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46add276",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}