ml_lesson_1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "data = ['../data']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1\n",
    "Load the data from the file using the techniques learned today. Examine it.\n",
    "\n",
    "Determine the following:\n",
    "\n",
    "* The number of data points (rows). \n",
    "* The column names. \n",
    "* The data types for each column. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3 µs, sys: 0 ns, total: 3 µs\n",
      "Wall time: 6.44 µs\n",
      "Number of Data Points :  150\n",
      "Column names :  ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species']\n",
      "Column data type :   sepal_length    float64\n",
      "sepal_width     float64\n",
      "petal_length    float64\n",
      "petal_width     float64\n",
      "species          object\n",
      "dtype: object\n"
     ]
    },
    {
     "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>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width      species\n",
       "0           5.1          3.5           1.4          0.2  Iris-setosa\n",
       "1           4.9          3.0           1.4          0.2  Iris-setosa\n",
       "2           4.7          3.2           1.3          0.2  Iris-setosa\n",
       "3           4.6          3.1           1.5          0.2  Iris-setosa\n",
       "4           5.0          3.6           1.4          0.2  Iris-setosa"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time\n",
    "dataPath = os.sep.join(data+['Iris_Data.csv'])\n",
    "dataPath\n",
    "df = pd.read_csv(dataPath)\n",
    "\n",
    "print(\"Number of Data Points : \",df.shape[0])\n",
    "print(\"Column names : \",df.columns.tolist())\n",
    "print(\"Column data type :  \",df.dtypes)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 2\n",
    "Examine the species names and note that they all begin with 'Iris-'. Remove this portion of the name so the species name is shorter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "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>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['species'] = df.species.str.replace('Iris-','')\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Question 3\n",
    "Determine the following:\n",
    "\n",
    "* The number of each species present. \n",
    "* The mean, median, and quantiles and ranges (max-min) for each petal and sepal measurement."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Petal_Length Description\n",
      "\n",
      "mean 3.75866666667\n",
      "std 1.76442041995\n",
      "First_Quantiles 1.6\n",
      "median 4.35\n",
      "Third_Quantile 5.1\n",
      "Max_Min_Range 5.9\n",
      "********************************************************************** \n",
      "\n",
      "\n",
      "Sepall_Length Description\n",
      "\n",
      "mean 5.84333333333\n",
      "std 0.828066127978\n",
      "First_Quantiles 5.1\n",
      "median 5.8\n",
      "Third_Quantile 6.4\n",
      "Max_Min_Range 3.6\n",
      "********************************************************************** \n",
      "\n",
      "\n",
      "Petal_Width Description\n",
      "\n",
      "mean 1.19866666667\n",
      "std 0.763160741701\n",
      "First_Quantiles 0.3\n",
      "median 1.3\n",
      "Third_Quantile 1.8\n",
      "Max_Min_Range 2.4\n",
      "********************************************************************** \n",
      "\n",
      "\n",
      "Sepal_Width Description\n",
      "\n",
      "mean 3.054\n",
      "std 0.433594311362\n",
      "First_Quantiles 2.8\n",
      "median 3.0\n",
      "Third_Quantile 3.3\n",
      "Max_Min_Range 2.4\n",
      "********************************************************************** \n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from collections import OrderedDict\n",
    "df.species.value_counts()\n",
    "pl_description = df.petal_length.describe()\n",
    "sl_description = df.sepal_length.describe()\n",
    "pw_description = df.petal_width.describe()\n",
    "sw_description = df.sepal_width.describe()\n",
    "\n",
    "x = { \"Petal_Length Description\":pl_description,\"Sepall_Length Description\":sl_description,\n",
    "     \"Petal_Width Description\":pw_description,\"Sepal_Width Description\":sw_description}\n",
    "\n",
    "keys = ['mean','std','First_Quantiles','median','Third_Quantile','Max_Min_Range']\n",
    "iris_keys = ['mean','std','25%','50%','75%','max']\n",
    "\n",
    "def formatData(doc):\n",
    "    formatDict = OrderedDict()\n",
    "    for i,key in enumerate(iris_keys):\n",
    "        if(i==5):\n",
    "                formatDict[keys[i]] = doc[key] - doc['min']\n",
    "        else :\n",
    "                formatDict[keys[i]] = doc[key]\n",
    "        \n",
    "        print(keys[i],formatDict[keys[i]])\n",
    "   \n",
    "\n",
    "\n",
    "for k,val in x.items():\n",
    "     dta = {}\n",
    "     print(k,sep='\\n',end='\\n\\n') \n",
    "     dta =  formatData(val)\n",
    "     print(\"*\"*70,\"\\n\\n\")\n",
    "     \n",
    "     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 4\n",
    "Calculate the following for each species in a separate dataframe:\n",
    "\n",
    "The mean of each measurement (sepal_length, sepal_width, petal_length, and petal_width).\n",
    "The median of each of these measurements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">sepal_width</th>\n",
       "      <th colspan=\"2\" halign=\"left\">petal_length</th>\n",
       "      <th colspan=\"2\" halign=\"left\">petal_width</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sepal_length</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>4.3</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>1.10</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>3.033333</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>2.300000</td>\n",
       "      <td>2.30</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>3.325000</td>\n",
       "      <td>3.30</td>\n",
       "      <td>1.325000</td>\n",
       "      <td>1.40</td>\n",
       "      <td>0.225000</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.7</th>\n",
       "      <td>3.200000</td>\n",
       "      <td>3.20</td>\n",
       "      <td>1.450000</td>\n",
       "      <td>1.45</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.8</th>\n",
       "      <td>3.180000</td>\n",
       "      <td>3.10</td>\n",
       "      <td>1.580000</td>\n",
       "      <td>1.60</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.9</th>\n",
       "      <td>2.866667</td>\n",
       "      <td>3.05</td>\n",
       "      <td>2.283333</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>3.120000</td>\n",
       "      <td>3.35</td>\n",
       "      <td>1.840000</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.430000</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.1</th>\n",
       "      <td>3.477778</td>\n",
       "      <td>3.50</td>\n",
       "      <td>1.722222</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.2</th>\n",
       "      <td>3.425000</td>\n",
       "      <td>3.45</td>\n",
       "      <td>2.075000</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.475000</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.3</th>\n",
       "      <td>3.700000</td>\n",
       "      <td>3.70</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.50</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.4</th>\n",
       "      <td>3.550000</td>\n",
       "      <td>3.55</td>\n",
       "      <td>2.033333</td>\n",
       "      <td>1.60</td>\n",
       "      <td>0.516667</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.5</th>\n",
       "      <td>2.842857</td>\n",
       "      <td>2.50</td>\n",
       "      <td>3.228571</td>\n",
       "      <td>3.80</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>1.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.6</th>\n",
       "      <td>2.816667</td>\n",
       "      <td>2.85</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>4.15</td>\n",
       "      <td>1.416667</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.7</th>\n",
       "      <td>3.100000</td>\n",
       "      <td>2.85</td>\n",
       "      <td>3.587500</td>\n",
       "      <td>4.15</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.8</th>\n",
       "      <td>2.885714</td>\n",
       "      <td>2.70</td>\n",
       "      <td>4.071429</td>\n",
       "      <td>4.10</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.9</th>\n",
       "      <td>3.066667</td>\n",
       "      <td>3.00</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>4.80</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>1.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>2.733333</td>\n",
       "      <td>2.80</td>\n",
       "      <td>4.650000</td>\n",
       "      <td>4.65</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.1</th>\n",
       "      <td>2.850000</td>\n",
       "      <td>2.85</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>4.70</td>\n",
       "      <td>1.416667</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.2</th>\n",
       "      <td>2.825000</td>\n",
       "      <td>2.85</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>4.65</td>\n",
       "      <td>1.725000</td>\n",
       "      <td>1.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.3</th>\n",
       "      <td>2.855556</td>\n",
       "      <td>2.80</td>\n",
       "      <td>5.133333</td>\n",
       "      <td>5.00</td>\n",
       "      <td>1.811111</td>\n",
       "      <td>1.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.4</th>\n",
       "      <td>2.957143</td>\n",
       "      <td>2.90</td>\n",
       "      <td>5.157143</td>\n",
       "      <td>5.30</td>\n",
       "      <td>1.871429</td>\n",
       "      <td>1.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.5</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.00</td>\n",
       "      <td>5.240000</td>\n",
       "      <td>5.20</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.6</th>\n",
       "      <td>2.950000</td>\n",
       "      <td>2.95</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>4.50</td>\n",
       "      <td>1.350000</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.7</th>\n",
       "      <td>3.050000</td>\n",
       "      <td>3.10</td>\n",
       "      <td>5.262500</td>\n",
       "      <td>5.40</td>\n",
       "      <td>1.962500</td>\n",
       "      <td>1.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.8</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.00</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>5.50</td>\n",
       "      <td>1.933333</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.9</th>\n",
       "      <td>3.125000</td>\n",
       "      <td>3.10</td>\n",
       "      <td>5.275000</td>\n",
       "      <td>5.25</td>\n",
       "      <td>2.050000</td>\n",
       "      <td>2.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>3.200000</td>\n",
       "      <td>3.20</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>4.70</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.00</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>5.90</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>3.266667</td>\n",
       "      <td>3.20</td>\n",
       "      <td>5.966667</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.966667</td>\n",
       "      <td>1.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>2.900000</td>\n",
       "      <td>2.90</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>6.30</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>1.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>2.800000</td>\n",
       "      <td>2.80</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>6.10</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>1.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.00</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>6.60</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>3.050000</td>\n",
       "      <td>2.90</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>2.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>3.800000</td>\n",
       "      <td>3.80</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>6.40</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             sepal_width        petal_length        petal_width       \n",
       "                    mean median         mean median        mean median\n",
       "sepal_length                                                          \n",
       "4.3             3.000000   3.00     1.100000   1.10    0.100000   0.10\n",
       "4.4             3.033333   3.00     1.333333   1.30    0.200000   0.20\n",
       "4.5             2.300000   2.30     1.300000   1.30    0.300000   0.30\n",
       "4.6             3.325000   3.30     1.325000   1.40    0.225000   0.20\n",
       "4.7             3.200000   3.20     1.450000   1.45    0.200000   0.20\n",
       "4.8             3.180000   3.10     1.580000   1.60    0.200000   0.20\n",
       "4.9             2.866667   3.05     2.283333   1.50    0.533333   0.15\n",
       "5.0             3.120000   3.35     1.840000   1.55    0.430000   0.25\n",
       "5.1             3.477778   3.50     1.722222   1.50    0.400000   0.30\n",
       "5.2             3.425000   3.45     2.075000   1.50    0.475000   0.20\n",
       "5.3             3.700000   3.70     1.500000   1.50    0.200000   0.20\n",
       "5.4             3.550000   3.55     2.033333   1.60    0.516667   0.40\n",
       "5.5             2.842857   2.50     3.228571   3.80    0.900000   1.10\n",
       "5.6             2.816667   2.85     4.200000   4.15    1.416667   1.30\n",
       "5.7             3.100000   2.85     3.587500   4.15    1.100000   1.25\n",
       "5.8             2.885714   2.70     4.071429   4.10    1.400000   1.20\n",
       "5.9             3.066667   3.00     4.700000   4.80    1.700000   1.80\n",
       "6.0             2.733333   2.80     4.650000   4.65    1.500000   1.55\n",
       "6.1             2.850000   2.85     4.750000   4.70    1.416667   1.40\n",
       "6.2             2.825000   2.85     4.750000   4.65    1.725000   1.65\n",
       "6.3             2.855556   2.80     5.133333   5.00    1.811111   1.80\n",
       "6.4             2.957143   2.90     5.157143   5.30    1.871429   1.90\n",
       "6.5             3.000000   3.00     5.240000   5.20    1.900000   2.00\n",
       "6.6             2.950000   2.95     4.500000   4.50    1.350000   1.35\n",
       "6.7             3.050000   3.10     5.262500   5.40    1.962500   1.95\n",
       "6.8             3.000000   3.00     5.400000   5.50    1.933333   2.10\n",
       "6.9             3.125000   3.10     5.275000   5.25    2.050000   2.20\n",
       "7.0             3.200000   3.20     4.700000   4.70    1.400000   1.40\n",
       "7.1             3.000000   3.00     5.900000   5.90    2.100000   2.10\n",
       "7.2             3.266667   3.20     5.966667   6.00    1.966667   1.80\n",
       "7.3             2.900000   2.90     6.300000   6.30    1.800000   1.80\n",
       "7.4             2.800000   2.80     6.100000   6.10    1.900000   1.90\n",
       "7.6             3.000000   3.00     6.600000   6.60    2.100000   2.10\n",
       "7.7             3.050000   2.90     6.600000   6.70    2.200000   2.25\n",
       "7.9             3.800000   3.80     6.400000   6.40    2.000000   2.00"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "# print(\"\\n\\n means \\n\")\n",
    "# df.groupby('petal_length').mean()\n",
    "# print(df.groupby('petal_length').mean())\n",
    "# print(df.groupby('sepal_length').mean())\n",
    "# print(df.groupby('petal_width').mean())\n",
    "# print(df.groupby('sepal_width').mean())\n",
    "# print(\"\\n\\n Medians \\n\")\n",
    "# print(df.groupby('petal_length').median())\n",
    "# print(df.groupby('sepal_length').median())\n",
    "# print(df.groupby('petal_width').median())\n",
    "# print(df.groupby('sepal_width').median())\n",
    "\n",
    "df.groupby('petal_length').agg([np.mean,np.median])\n",
    "df.groupby('sepal_length').agg([np.mean,np.median])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'petal_length': 'max',\n",
      " 'petal_width': ['mean', 'median'],\n",
      " 'sepal_length': ['mean', 'median'],\n",
      " 'sepal_width': ['mean', 'median']}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">sepal_length</th>\n",
       "      <th colspan=\"2\" halign=\"left\">sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th colspan=\"2\" halign=\"left\">petal_width</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>species</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>setosa</th>\n",
       "      <td>5.006</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.418</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>5.936</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.770</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.326</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>6.588</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2.974</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.026</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           sepal_length        sepal_width        petal_length petal_width  \\\n",
       "                   mean median        mean median          max        mean   \n",
       "species                                                                      \n",
       "setosa            5.006    5.0       3.418    3.4          1.9       0.244   \n",
       "versicolor        5.936    5.9       2.770    2.8          5.1       1.326   \n",
       "virginica         6.588    6.5       2.974    3.0          6.9       2.026   \n",
       "\n",
       "                   \n",
       "           median  \n",
       "species            \n",
       "setosa        0.2  \n",
       "versicolor    1.3  \n",
       "virginica     2.0  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pprint import pprint\n",
    "\n",
    "agg_dict = {field: ['mean', 'median'] for field in df.columns if field != 'species'}\n",
    "agg_dict['petal_length'] = 'max'\n",
    "pprint(agg_dict)\n",
    "df.groupby('species').agg(agg_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 5\n",
    "Make a scatter plot of sepal_length vs sepal_width using Matplotlib. Label the axes and give the plot a title."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0,0.5,'Sepal length'),\n",
       " Text(0.5,0,'Petal_Length'),\n",
       " Text(0.5,1,'Sepal Length vs Petal Length')]"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aC8yl3D5Gvh/wCgAAsCyuWXOuKOhoaVJHS5PHNEsvbu0FFotb6QAAAADEHoUR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\nz2AkSZIkKXv/PznQF+rWBvcXAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa98ebf72b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['figure.figsize']=(14,14)\n",
    "plt.rcParams['font.size']=17\n",
    "ax = plt.axes()\n",
    "# markers = ['^','*','o']\n",
    "# colors = {'setosa':'red','versicolor':'green','virginica':'blue'}\n",
    "plt.scatter(df.sepal_length,df.petal_length,marker=\"*\")\n",
    "ax.set(xlabel='Petal_Length',ylabel='Sepal length',title='Sepal Length vs Petal Length')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 6\n",
    "Make a histogram of any one of the four features. Label axes and title it as appropriate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0,0.5,'Count'),\n",
       " Text(0.5,0,'Sepal Length'),\n",
       " Text(0.5,1,'Sepal Length Histogram ')]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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NMb6yxLEBbBuuiQIAAGhwJAoAAKBhx1wTddBBB41du3YtexgAAMA2de65535mjHHw9W23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\nZmZWwP8D8dmiBAomY2sAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa98e96f518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes()\n",
    "plt.hist(df.sepal_length)\n",
    "ax.set(xlabel='Sepal Length',ylabel='Count',title='Sepal Length Histogram ')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 7\n",
    "Now create a single plot with histograms for each feature (petal_width, petal_length, sepal_width, sepal_length) overlayed. If you have time, next try to create four individual histogram plots in a single figure, where each plot contains one feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Counts')"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oliACAACqJYgAAIBqCSIAAKBagggAAKiWIAIAAKoliAAAgGoJIgAAoFqCCAAA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\nEa31X3DZbI4hIc6cAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa98e71ef98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.set_context('notebook')\n",
    "\n",
    "# This uses the `.plot.hist` method\n",
    "ax = df.plot.hist(bins=25, alpha=0.5)\n",
    "ax.set_xlabel('Size (cm)');\n",
    "ax.set_ylabel('Counts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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68biXJNmX5A1V9cIkf5vkX82pPgDWQDACgHXo7iuTHO2CoqfNshYANs6pdAAAwOAJRgAA\nwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJ\nRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAA\nwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOBNLRhV1QVVdVtVXb9q3N6q+nhV\nXTf+eua02gcAAJjUNI8YXZjk9COM/7Xufvz4621TbB8AAGAiEwWjqvqTqnpWVdWkb9zdVyT51Lor\nAwAAmJEdE87320lenOQ3qupVSX6nu/9+nW2eXVU/kOR9Sc7t7k8fa4Gq2pvkvCRZWlrKysrKOpse\nWcvy+3dvqKmJzLI/28Wi9Ul/tr5F69Oi9QcApm2iYNTdFye5uKoeneTHk9xQVe9Isr+7r1lDe69M\n8gtJevz9ZUleMEH7e5PsTZJdu3b18vLyGpr8UisrK1nL8jv3XLrutiZ1YN8Z6152rf3ZDhatT/qz\n9S1anxatPwAwC+u9xujzSf4xyWuq6mWTLtTdt3b3Xd39hSSvTnLKOtsHAADYNJNeY/TdVfVfklyc\n5ANJHtvdP5rkG5N8z6SNVdWJq14+J8n1R5sXAABgVia9xuiFSX6lu/909cjuPlhVP3GkBarqdUlO\nS3JCVd2U0TVCp1XV4zM6le5Akhets24AAIBNM2kwelZ395EmdPdbjzL+zCOMPn/SwgAAAGZl0muM\n3lNVS4deVNWDq+qKKdUEAAAwU5MGo+NW31a7uz+V5MumUxIAAMBsTRqM7lVVDzz0oqqOy+Sn4QEA\nAGxpk4ab1yV5R1W9cvz6x5L8/nRKAgAAmK1JH/D6y1V1c5JnJ6kkr+ru10y1MgAAgBmZ+HS47r4o\nyUVTrAUAAGAuJgpGVfWQJD+R5GtXL9Pd3zulugAAAGZm0iNGb0pyY5L/nOSu6ZUDAAAwe5MGo6Xu\n/tGpVgIAADAnk96u+/qqethUKwEAAJiTiY8YJXl/Vf3XJP94aKRrjAAAgEUwaTD6g/EXAJCkqi5I\n8qwkt3X3N4zH7U3yI0n+bjzbS7r7bfOpEIC1mPQ5Rm7TDQBf6sIkr0hy+HP9fq27Xzr7cgDYiImu\nMaqqk6vqyqr66Pj1E8f/FQOAQeruK5J8at51ALA5Jj2V7pVJfjHJvvHr65L8XpK9U6gJALazs6vq\nB5K8L8m53f3pYy0w/mfjeUmytLSUlZWVL05bPTwN+3evbf5p1zPv9raaofc/sQ70f3b9nzQYfXl3\n/0lV/XKSdPcXqurzU6wLALajVyb5hSQ9/v6yJC841kLdvTfjfzbu2rWrl5eXk4w+EBwanpadey5d\n0/wH9p0xpUrubhb938qG3v/EOtD/2fZ/0tt131VV98noD32q6uFJvjC1qgBgG+ruW7v7ru7+QpJX\nJzll3jUBMJlJg9F/SvLmJCeMD/e/J4kLSwFglao6cdXL5yS5fl61ALA2k96V7jVV9ZEk35nkAUnO\n6u73TLUyANjCqup1SU7L6J+GN2V0jdBpVfX4jM6wOJDkRXMrEIA1mfQao3T3lUmunGItwJys5RqD\ntV6oDYuqu888wujzZ14IAJtiomBUVX+R8fVFq3W3c6cBAIBtb9IjRj+1avj+Sc5McvPmlwMAADB7\nk15jdPnq11X1jiTvmEpFAAAAMzbpXekO92VJvmYzCwEAAJiX9VxjdK+MQtHLplUUAADALK3nGqOD\nST7a3a4xAgAAFsK6rjECAABYJJOeSvd3OcLtupNUku7uh2xqVQAAADM06al0r0zyFUl+O6Mw9IIk\nNyV5/ZTqAgAAmJlJg9FTu/upq17/ZFVd3t2/Oo2iAAAAZmnS23U/rKpOOPRiPHzidEoCAACYrUmP\nGP16kr+sqj8ev35mkv84nZIAAABma9K70v1mVb0nyVMzusboFd39/qlWBiRJdu65dE3zH9h3xpQq\nma2h9hsAmI9JjxglyYEkO7r72inVAgAAMBcTXWNUVc9MckOSi8evd1XVW6dZGAAAwKxMevOFn0/y\n5CSfTpLufl+Sr51WUQAAALM0aTBKd3/isFGf2+RaAAAA5mLSa4zurKqHJukkqarTktw+raIAAJg/\nN8JhSCYNRj+b5O1JHlVV705ycpJnT6soAACAWZr0dt1XV9W3JPnfM7pd9591tyNGAADAQjhmMKqq\neyd5b3c/OaOjRgAAAAvlmDdf6O67knyyqu4/g3oAAABmbtJrjD6Y5IqqemOSzxwa2d3/aSpVAQAA\nzNCkwehBGT3g9TGrxvXmlwMAADB79xiMqupl3X1ud/9QVT2juy+bVWEAAACzcqxrjL5l1fCvTLMQ\nAACAeTlWMKqjDAMAACyMY11jdL+qekxGoWj1cJKku/9qmsUBAADMwrGC0QOSvG3V69XDneRrNr0i\nAAAGYeeeS+9x+v7dd5/nwL4zplnSMWs6kmnXxGzcYzDq7p0zqgMAAGBujvmAVwAAgEUnGAEAAIMn\nGAEAAIMnGAEAAIM3tWBUVRdU1W1Vdf2qcQ+uqsuq6oPj70vTah8AAGBS0zxidGGS0w8btyfJO7v7\n5CTvHL8GAACYq6kFo+6+IsmnDhu9nOSi8fBFSb5rWu0DAABM6lgPeN1sD+3uW5Kku2+pqodMslBV\n7U1yXpIsLS1lZWVlQ0WsZfn9uzfU1ERm2Z/tYtH6tJH+rHUbXE9bs2hjrWZdk20OAIZt1sFoXbp7\nb5K9SbJr165eXl5e93utrKxkLcuv5+nHa7WRpyWvtT/bwaL1aaP9Wes2uJ7taS1t7N99MOdctbY/\nHdOuab1tHGKbAwBmfVe6W6vqxCQZf79txu0DAADczayD0SVJzhoPn5XEuR4AAMDcTfN23a9LclWS\nR1fVTVX1wiT7kjyjqj6Y5Bnj1wAAAHM1tWuMuvvMo0x62rTaBAAAWI9Zn0oHAACw5QhGAADA4AlG\nAADA4AlGAADA4AlGAADA4AlGALAOVXVBVd1WVdevGvfgqrqsqj44/r40zxoBmJxgBADrc2GS0w8b\ntyfJO7v75CTvHL8GYBuY2nOMgLvbuefSeZcAbJLuvqKqdh42ejnJaePhi5K8O8nPzKwoANZNMAKA\nzfPQ7r4lSbr7lqp6yCQLVdXeJOclydLSUlZWVr44bfXwNOzfvbb5p13PvNvbaubd/2lvH5O8//7d\nBzfUxlqttc/JdGua9zYwb7Psv2AEAHPW3XuT7E2SXbt29fLycpLRB4JDw9Oy1iPZB/adMaVK7m4W\n/d/KtkL/p719HOv99+8+mHOu+tKPq9PeBtdzdse0atoK28A8zbr/rjECgM1za1WdmCTj77fNuR4A\nJiQYAcDmuSTJWePhs5IM+xwYgG1EMAKAdaiq1yW5Ksmjq+qmqnphkn1JnlFVH0zyjPFrALYB1xgB\nwDp095lHmfS0mRYCwKZwxAgAABg8wQgAABg8wQgAABg8wQgAABg8wQgAABg8d6WDDZjk6dj7d6/v\nKdrrNcu2AAAWhSNGAADA4AlGAADA4AlGAADA4AlGAADA4AlGAADA4AlGAADA4AlGAADA4AlGAADA\n4AlGAADA4AlGAADA4O2YdwEAACyGnXsunXcJrNN6fnYH9p0xhUrmxxEjAABg8AQjAABg8AQjAABg\n8AQjAABg8AQjAABg8AQjAABg8AQjAABg8AQjAABg8AQjAABg8AQjAABg8HbMuwAAYPvYuefSqbdx\nYN8ZU29jKzp83e7ffc/re6jrCabFESMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDw\nBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwdsy7AABgc+zcc+m8SwAmMOnv6v7d6/+9PrDv\njHUtN2RzCUZVdSDJnUnuSnKwu3fNow4AAIBkvkeMvqW7PznH9gEAAJK4xggAAGBuR4w6yTuqqpO8\nqrt/+55mrqq9Sc5LkqWlpaysrGyo8bUsv3/3hpqayCz7s11slz5Nun3s331wuoXM2Fr7s56f51p/\n9/wefalF6w8ATNu8gtGp3X1zVT0kyWVV9YHuvuJoM3f33iR7k2TXrl29vLy87oZXVlayluVncSHr\nRi6OW2t/toPt1KdJto/9uw/mnKsW5z4n6+nPerbxWV5EPmmftsuFrNvpdwgAtoq5nErX3TePv9+W\n5M1JTplHHQAAAMkcglFVPbCqHnRoOMm3Jbl+1nUAAAAcMo/zex6a5M1Vdaj9P+juP5lDHQAwFR5L\nAbD9zDwYdfdHknzjrNsFgBnzWAqAbcTtugEAgMFbnFtlAcDWsWmPpdhqj5iYhfX2f7s70s/vnh6P\nMIt1sxW2qcPXwbT7vZ4+r7WmtbSx3kd+TLOm9baxHrP8GyAYAcDm25THUmzFR0zMwqFb4w/t1vOH\n//yO9SiBtT5CYDtuH0daB9N+dMJWWk8beeTHLLaPaf8sZv03wKl0ALDJPJYCYPsRjABgE3ksBcD2\n5FQ6ANhcHksBsA0JRgCwiTyWAmB7GmQw2koX1cEQ+J0DALY61xgBAACDJxgBAACDJxgBAACDJxgB\nAACDN8ibLwAAsD2t9YY+B/adMaVKWDSOGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEA\nAIPndt2wylpvAQqbaT3bn9vQAsDmcMQIAAAYPMEIAAAYPMEIAAAYPNcYAQBsQ66L5Z7MYvuYdhv7\nd0/17e/GESMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwPOB1\nC1jrw7EO7DtjSpVsbR5kx7z5XQWAxeWIEQAAMHiCEQAAMHhOpQMAYGE5FZ9JOWIEAAAMnmAEAAAM\nnmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAM3o55F8BwHe1J1Pt3e0o1\ni8F2DADbh2AEAGwph/6pMM1/lB3Yd8ZU3hfYvpxKBwAADJ5gBAAADJ5gBAAADJ5gBAAADJ5gBAAA\nDJ5gBAAADJ5gBAAADN5cglFVnV5Vf11VH6qqPfOoAQCmxX4OYPuZeTCqqnsn+c0k35HksUnOrKrH\nzroOAJgG+zmA7WkeR4xOSfKh7v5Id38+yR8mWZ5DHQAwDfZzANtQdfdsG6x6bpLTu/uHx6+fn+Sb\nuvvse1hmb5Lzxi8/m+TGDZTwsCQ3b2D5rWbR+pMsXp/0Z+tbtD5N2p9HdvdXTruYodnk/dyibZtr\npf/D7n9iHej/xvq/pv3cjg00tF51hHH3mM66e2+SvZvSeFV398M24722gkXrT7J4fdKfrW/R+rRo\n/dmGNm0/N/Sfpf4Pu/+JdaD/s+3/PE6luynJSatePyLDTsIALBb7OYBtaB7B6C+SnFxVj6qq+yZ5\nXpJL5lAHAEyD/RzANjTzU+m6+2BVnZ3kT5PcO8kF3X3DDEv4+Rm2NQuL1p9k8fqkP1vfovVp0fqz\nrWzyfm7oP0v9Z+jrQP9naOY3XwAAANhq5vKAVwAAgK1EMAIAAAZPMAIAAAZPMAIAAAZPMAIAAAZP\nMAIAAAZvMMGoqi6oqtuq6vp517IZquqkqnpXVd1YVTdU1Tnzrmkjqur+VfXnVfWX4/4sxH37q+re\nVfXfquqP513LZqiqA1X1/qq6rqreN+96Nqqqjq+qN1bVB8a/S7vnXdNGVNWjxz+bQ193VNWL510X\n96yqTq+qv66qD1XVniNMv19VvX48/eqq2jn7KqdrgnXwg1X1d6u27R+eR53TcKzPJzXyG+N189+r\n6omzrnHaJlgHp1XVP6z6+f/7Wdc4TZN8plvk7WDC/s9kG5j5A17n6MIkr0jymjnXsVkOJjm3u6+t\nqgcluaaqLuvuv5p3Yev0uSTf2t2fqar7JLmyqt7e3e+dd2EbdE6SG5N82bwL2UTf0t2fnHcRm2R/\nkj/p7udW1X2TPGDeBW1Ed/91kscno1Ce5ONJ3jzXorhH45/TbyZ5RpKbkvxFVV1y2N/yFyb5dHf/\n86p6XpJfSfJ/zL7a6ZhwHSTJ67v77JkXOH0X5p4/n3xHkpPHX9+U5JXj74vkwhz7M9p7uvtZsyln\n5ib5TLfI28Gkn2mnvg0M5ohRd1+R5FPzrmOzdPct3X3tePjOjD58P3y+Va1fj3xm/PI+469t/fTh\nqnpEkjOS/M68a+HuqurLknyg71QJAAAgAElEQVRzkvOTpLs/3923z7eqTfW0JB/u7r+ZdyHco1OS\nfKi7P9Ldn0/yh0mWD5tnOclF4+E3JnlaVdUMa5y2SdbBwprg88lykteM95PvTXJ8VZ04m+pmY9E+\no63VhJ/pFnY72EqfaQcTjBbZ+LSKJyS5er6VbMz4tLPrktyW5LLu3tb9SfLrSX46yRfmXcgm6iTv\nqKprqupH513MBn1Nkr9L8rvj0x1/p6oeOO+iNtHzkrxu3kVwTA9P8rFVr2/K3T8QfHGe7j6Y5B+S\nfMVMqpuNSdZBknzP+BSiN1bVSbMpbUuYdP0sut3j0+3fXlVfP+9ipuUePtMNYjs4xmfaqW8DgtE2\nV1XHJXlTkhd39x3zrmcjuvuu7n58kkckOaWqvmHeNa1XVT0ryW3dfc28a9lkp3b3EzM6pP/jVfXN\n8y5oA3YkeWKSV3b3E5L8jyR3u7ZhOxqfFvjsJH8071o4piMd+Tn8aPkk82xnk/TvrUl2dvfjkvzn\n/NMRtCFY9J//JK5N8sju/sYk/2+St8y5nqk4xme6hd8OjtH/mWwDgtE2Nr4W501JXtvdF8+7ns0y\nPp3p3UlOn3MpG3FqkmdX1YGMTgv51qr6/fmWtHHdffP4+20ZXbtyynwr2pCbkty06sjkGzMKSovg\nO5Jc2923zrsQjummJKuPfjwiyc1Hm6eqdiT58izWaUfHXAfd/ffd/bnxy1cnedKMatsKJtlGFlp3\n33HodPvufluS+1TVCXMua1NN8JluobeDY/V/VtuAYLRNjc8vPz/Jjd398nnXs1FV9ZVVdfx4+J8l\neXqSD8y3qvXr7p/t7kd0986MTmn6L939/XMua0Oq6oHjiyIzPuXs25Js27s8dvcnknysqh49HvW0\nJNv15iWHOzNOo9su/iLJyVX1qPGRvuclueSweS5JctZ4+LkZ/T1ZpP8UH3MdHHYtxbMzugZhKC5J\n8gPju5I9Jck/dPct8y5qlqrqqw5dV1dVp2T0+fXv51vV5pnwM93CbgeT9H9W28Bg7kpXVa9LclqS\nE6rqpiTndff5861qQ05N8vwk7x9fl5MkLxmn6O3oxCQXje9OdK8kb+juhbjF9QJ5aJI3j/8u7Ujy\nB939J/MtacN+Islrxx/GPpLkh+Zcz4ZV1QMyurvXi+ZdC8fW3Qer6uwkf5rk3kku6O4bquo/JHlf\nd1+S0QeG36uqD2V0pOh586t48024Dn6yqp6d0d2rPpXkB+dW8CY70ueTjG5AlO7+rSRvS/LMJB9K\n8tkswN+pw02wDp6b5Meq6mCS/5nkeQv2z4EjfqZL8tXJILaDSfo/k22gFmu7AgAAWDun0gEAAIMn\nGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEA\nAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMn\nGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEA\nAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMn\nGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEA\nAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMn\nGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGAEAAIMnGME6VFVX1T8/xjwXVtUvzqqmw9o+UFVPn0fb\nACyOSfZ3a3ivt1fVWUeZtnPc1o5Z1AJHIhjBNjfPAAYAk+ru7+juiyaZt6reXVU/PO2aYDXBCAAA\nGDzBiIVQVT9TVR+vqjur6q+r6mlVda+q2lNVH66qv6+qN1TVg8fzHzpk/6NVdXNV3VJV5656v1Oq\n6qqqun087RVVdd8N1visqrpu/J5/VlWPWzXtQFX9VFX996r6h6p6fVXdf9X0nx7XcXNV/fCh0wmq\n6keTfF+Sn66qz1TVW1c1+fijvR8A29NW299V1aPGy95r/Pp3quq2VdN/v6pePB7+4lGgqrp3Vb20\nqj5ZVR9JcsaqZX4pyb9M8orxvu0Vq5p8elV9sKo+XVW/WVW1vjUJdycYse1V1aOTnJ3kyd39oCTf\nnuRAkp9M8l1JnprkYUk+neQ3D1v8W5KcnOTbkuxZdV3OXUn+ryQnJNmd5GlJ/s8N1PjEJBckeVGS\nr0jyqiSXVNX9Vs32vUlOT/KoJI9L8oPjZU9P8m+TPD3JPx/3J0nS3b+d5LVJfrW7j+vu7zzW+wGw\nPW3F/V13fzTJHUmeMB71L5N8pqoeM379zUkuP8KiP5LkWePldiV57qr3/Lkk70ly9njfdvaq5Z6V\n5MlJvjGj/dy3T1orHItgxCK4K8n9kjy2qu7T3Qe6+8MZhZCf6+6buvtzSfYmee5hF3b+fHf/j+5+\nf5LfTXJmknT3Nd393u4+2N0HMgoyT836/UiSV3X31d191/gc688lecqqeX6ju2/u7k8leWuSx4/H\nf2+S3+3uG7r7s0l+fsI2j/Z+AGxPW3V/d3mSp1bVV41fv3H8+lFJvizJXx5hme9N8uvd/bHxfuqX\nJ2xrX3ff3t1/m+RdsW9jEwlGbHvd/aEkL85oR3BbVf1hVT0sySOTvHl8iP/2JDdmtFN56KrFP7Zq\n+G8y+k9bqurrquqPq+oTVXVHkv+Y0X/T1uuRSc49VMu4npMOtTf2iVXDn01y3Hj4YYfVuXr4nhzt\n/QDYhrbw/u7yJKdldHToiiTvzihcPTXJe7r7C0dY5vB9299M2JZ9G1MjGLEQuvsPuvtfZLRz6CS/\nktEf3O/o7uNXfd2/uz++atGTVg1/dZKbx8OvTPKBJCd395cleUmSjZzH/LEkv3RYLQ/o7tdNsOwt\nSR5xlJqTUX8BGIAtur+7PKNT6E4bD1+Z5NSMgtGRTqNLRvu2w2tazb6NmROM2Paq6tFV9a3j63X+\nMcn/zOg/Zb+V5Jeq6pHj+b6yqpYPW/z/rqoHVNXXJ/mhJK8fj39QRudMf6aq/rckP7bBMl+d5N9U\n1TfVyAOr6oyqetAEy74hyQ9V1WOq6gFJ/v1h029N8jUbrA+ALW6r7u+6+4PjWr4/yRXdfUdG+6bv\nydGD0RuS/GRVPaKqlpLsOWy6fRszJxixCO6XZF+ST2Z0iP0hGf3Ha3+SS5K8o6ruTPLeJN902LKX\nJ/lQkncmeWl3v2M8/qeS/Oskd2YUal6fDeju92V0ndErMroo9kOZ8GYI3f32JL+R0bnUH0py1XjS\n58bfz8/ofPPbq+otG6kTgC1tK+/vLk/y9+Nrfw69riT/7SjzvzrJn2Z0/dG1SS4+bPr+jK6T+nRV\n/cY6a4I1qW5HKhmeqtqZ5KNJ7tPdB+dbzdqM7/RzfZL7bbfaAZit7by/g1lzxAi2gap6TlXdd3y6\nwa8keasdHADA5hGMYAOq6obxw+cO//q+TW7qRUn+LsmHMzqffKPXPAHAxGa4v4O5cSodAAAweI4Y\nAQAAg7fj2LNsLSeccELv3LlzrjXcfvvtOf744+daw6TUOh1q3Xzbpc5kcWq95pprPtndXznjkjiG\njeznttO2OS1DXwf6P+z+J9bB6v6veT/X3dvq60lPelLP21ve8pZ5lzAxtU6HWjffdqmze3FqTfK+\n3gJ/131t3n5uO22b0zL0daD/w+5/t3Wwuv9r3c85lQ4AABg8wQgAABg8wQgAABg8wQgAABg8wQgA\nABg8wQgAABg8wQgAABg8wQgAABg8wQgAABg8wQgAABg8wQgAABi8qQWjqrqgqm6rqusPG/8TVfXX\nVXVDVf3qtNoHAACY1DSPGF2Y5PTVI6rqW5IsJ3lcd399kpdOsX0AAICJTC0YdfcVST512OgfS7Kv\nuz83nue2abUPAAAwqR0zbu/rkvzLqvqlJP+Y5Ke6+y+OtVBV7U1yXpIsLS1lZWVlqkVOYivUMCm1\nTodaN992qTNRKzB/O/dcerdx+3cfeXySHNh3xrRLgm1t1sFoR5KlJE9J8uQkb6iqr+nuvqeFuntv\nkr1JsmvXrl5eXp5ymfdsZWUl86zhaH/wjmT/7oM556od2+KP4bzX61qodfNtlzoTtQLAIpr1Xelu\nSnJxj/x5ki8kOWHGNQAAAHyJWQejtyT51iSpqq9Lct8kn5xxDQAAAF9iaqfSVdXrkpyW5ISquimj\na4QuSHLB+Bben09y1rFOowMAAJi2qQWj7j7zKJO+f1ptAgAArMesT6UDAADYcgQjAABg8AQjAABg\n8AQjAFijqjqpqt5VVTdW1Q1Vdc54/N6q+nhVXTf+eua8awVgMrN+wCsALIKDSc7t7mur6kFJrqmq\ny8bTfq27XzrH2gBYB8EIANaou29Jcst4+M6qujHJw+dbFQAbIRgBwAZU1c4kT0hydZJTk5xdVT+Q\n5H0ZHVX69ATvsTej5/1laWkpKysr665nI8suiqGsg/27jzb+4BHHD2W9DKWf92To62C9/ReMAGCd\nquq4JG9K8uLuvqOqXpnkF5L0+PvLkrzgWO/T3XuT7E2SXbt29fLy8rrqWVlZyXqXXRRDWgc791x6\nt3H7dx/MOVcd+ePdgX1nTLukuRvSz/9ohr4ONtJ/N18AgHWoqvtkFIpe290XJ0l339rdd3X3F5K8\nOskp86wRgMkJRgCwRlVVSc5PcmN3v3zV+BNXzfacJNfPujYA1sepdACwdqcmeX6S91fVdeNxL0ly\nZlU9PqNT6Q4kedF8ygNgrQQjAFij7r4ySR1h0ttmXQsAm8OpdAAAwOAJRgAAwOAJRgAAwOAJRgAA\nwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJ\nRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOAJRgAAwOBNLRhV1QVVdVtVXX+EaT9VVV1VJ0yr\nfQAAgElN84jRhUlOP3xkVZ2U5BlJ/naKbQMAAExsasGou69I8qkjTPq1JD+dpKfVNgAAwFrsmGVj\nVfXsJB/v7r+sqrUstzfJeUmytLSUlZWV6RS4BvOsYf/utc5/cEuss0lslzoTtU7DdqkzUSsALJqZ\nBaOqekCSn0vybWtdtrv3JtmbJLt27erl5eVNrW2tVlZWMs8adu65dOJ59+8+mHOu2pED+86YYkWb\n41jrdS39TjLVPs97G1iL7VLrdqkzUSsALKJZ3pXua5M8KslfVtWBJI9Icm1VfdUMawAAALibmR0x\n6u73J3nIodfjcLSruz85qxoAAACOZJq3635dkquSPLqqbqqqF06rLQAAgI2Y2hGj7j7zGNN3Tqtt\nAACAtZjlNUYAAABbkmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAMnmAE\nAAAMnmAEAAAMnmAEAAAMnmAEAAAMnmAEAAAM3o55FwBDsnPPpWte5sC+M6ZQCQAAqzliBAAADJ5g\nBAAADJ5gBAAADJ5gBAAADJ5gBAAADJ5gBAAADJ5gBAAADJ5gBAAADJ5gBAAADJ5gBAAADJ5gBADr\nUFUnVdW7qurGqrqhqs4Zj39wVV1WVR8cf1+ad60AHJtgBADrczDJud39mCRPSfLjVfXYJHuSvLO7\nT07yzvFrALY4wQgA1qG7b+nua8fDdya5McnDkywnuWg820VJvms+FQKwFjvmXQAAbHdVtTPJE5Jc\nneSh3X1LMgpPVfWQCZbfm+S8JFlaWsrKysq6a9nIsotiKOtg/+6jjT94xPFDWS9D6ec9Gfo6WG//\nBSMA2ICqOi7Jm5K8uLvvqKo1v0d3702yN0l27drVy8vL66plZWUl6112UQxpHezcc+ndxu3ffTDn\nXHXkj3cH9p0x7ZLmbkg//6MZ+jrYSP+dSgcA61RV98koFL22uy8ej761qk4cTz8xyW3zqg+AyU0t\nGFXVBVV1W1Vdv2rc/1NVH6iq/15Vb66q46fVPgBMU40ODZ2f5MbufvmqSZckOWs8fFaSYZ/TArBN\nTPOI0YVJTj9s3GVJvqG7H5fk/0vys1NsHwCm6dQkz0/yrVV13fjrmUn2JXlGVX0wyTPGrwHY4qZ2\njVF3XzG+GHX1uHesevneJM+dVvsAME3dfWWSo11Q9LRZ1gLAxs3z5gsvSPL6SWbczLv1bJZ51nC0\nu9Acff6DW2KdTeKe6lxrv6fd5/W8/1r7sN52pvEes7Bd6kzUCgCLZi7BqKp+LqMH4712kvk36249\nm2Xed/s40l1ojubQ3Wm2w51ojrVe19LvZLp331nvNrDWPiQb78e8t9dJbZc6E7UCwCKaeTCqqrOS\nPCvJ07q7Z90+AADA4WYajKrq9CQ/k+Sp3f3ZWbYNAABwNNO8XffrklyV5NFVdVNVvTDJK5I8KMll\n47v3/Na02gcAAJjUNO9Kd+YRRp8/rfYAAADWa5rPMQIAANgWBCMAAGDwBCMAAGDwBCMAAGDwBCMA\nAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDw\nBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMA\nAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMAAGDwBCMA/v/27j5atruu7/j7AxcN4UEOTzEk1AvIogRa\nAl6QQ9aSYEBDLuZQxZqs8iDg0tICF4vLXly1ObZd9doF1tMWU5EgQSCCIfQAgZCIYABDlISLSQgs\nEG4hJBAQkQd5OuHbP85cOkzOw565s2fPOfv9WuusM3tm7/l99m9mz57v7CdJknrPwkiSJElS77VW\nGCV5VZJbk1w/dN89k1yR5OOD/wtttS9JkiRJTbW5xejVwJkj9x0E3lVVDwbeNRiWJEmSpE61VhhV\n1ZXAl0buXgIuHNy+EHhqW+1LkiRJUlN7ZtzeCVV1C0BV3ZLkvk0mSrIMnAewsLDA6upqewkb6jLD\nyuK446/NRZ81sVXOcee77Xme5PnHnYdJ22njOWZhp+QEs0qStNvMujCaSFUtA8sA+/btq6WlpU7z\nrK6u0mWGvQcvbTzuyuIaB67aw5FD+1tMNB3b9es48w20Os+TvgfGnQc49vno+v3a1E7JCWaVJGk3\nmvVZ6T6f5ESAwf9bZ9y+JEmSJN3OrAujtwDPGtx+FuD+HZIkSZI61+bpui8CrgIekuSmJM8FDgFP\nSvJx4EmDYUmSJEnqVGvHGFXVuZs8dEZbbUqSJEnSJGa9K50kSZIkzZ1GhVGSy5I8JUnaDiRJkiRJ\ns9Z0i9ErgBcBf5vk3ye5V4uZJEmSJGmmGhVGVXVJVT0ReDJwEnBDktck+bFW00mSJEnSDEx6jNG3\ngW8Cr0nysinmkSRJkqSZa3RWuiQ/CzwfOAF4OXBKVX0tyR7gE8CL24soSZIkSe1qusXoucDvVNXD\nqur3q+prAFW1BrygtXSSJM2pJK9KcmuS64fuW07y2SSHB39ndZlRktRc08LoKVX1zo0eqKq3TjGP\nJEk7xauBMze4/79X1amDv7fPOJMkaUJNC6P3Jlk4OpDknkmubCmTJElzr6quBL7UdQ5J0nQ0OsYI\nuGtV/f3Rgar6UpK7t5RJkqSd7PlJngl8EHjx8PpzM0mWgfMAFhYWWF1dnbjxY5l2t+hLH6wsbnb/\n2ob396Vf+jKfW+l7H0w6/00LozskuUtVfR0gyV3HmFaSpL44H/jPQA3+vwx4znYTVdUysAywb9++\nWlpamqjx1dVVJp12t+hTH+w9eOnt7ltZXOPAVRt/RTtyaH/bkTrXp9d/M33vg2OZ/6bFzUXA5UnO\nHww/D3jtRC1KkrRLVdXnj95O8ofA2zqMI0kaQ6PCqKp+O8nNwNlAgD+oqte0mkySpB0myYlVdctg\n8F8A1281viRpfjTeHa6qLgQubDGLJEk7RpKLgNOBeye5ifVjhE5Pcirru9IdAX6ls4CSpLE0vcDr\nfVm/XtGDhqepqn/ZUi5N2Ub7IW+lD/shb6RpP60sro/b136SBFV17gZ3XzDzIJKkqWi6xehNwI3A\nnwG3tRdHkiRJkmavaWG0UFW/3GoSSZIkSepI0wu8Xp/kfq0mkSRJkqSONN5iBFyX5P3AN4/e6TFG\nkiRJknaDpoXR6wd/kiRJkrTrNL2OkafpliRJkrRrNTrGKMmDk7wvyacGw49KstxqMkmSJEmakaa7\n0p0P/Bfg0GD4MPDHwHILmSRJkna0ca8fCP29hqA0L5qele6Hquoy1q/kTVV9F/h2a6kkSZIkaYaa\nFka3JbkTg8IoyUnAd1tLJUmSJEkz1LQw+n3gzcC9B8cWvRd4aVuhJEmSJGmWmp6V7jVJPgn8DHA8\n8Kyqem+rySRJkiRpRpqefIGqeh/wvhazSJIkSVInGhVGSf6awfFFw6rqMVNPJEmSJEkz1nSL0a8N\n3T4OOBe4efpxJEmSJGn2mh5j9BfDw0kuBy5vJZEkSZIkzVjTs9KNujvwwEkbTfKrSW5Icn2Si5Ic\nN+lzSZIkSdKxmuQYozuwXhS9bJIGB9dAeiFwSlV9I8kbgXOAV0/yfJIkSZJ0rCY5xmgN+FRVHcsx\nRnuAOyf5Duun//Z4JUmSJEmdmegYo2NRVZ9N8lLg08A3gMurasvjlQYXlT0PYGFhgdXV1WnFmViX\nGVYWxx1/bew2upq/rdodd74nmYdx2lhZXBu7jXHnAabzWszDMtPETskJZpXUD3sPXjrW+EcO7W8p\nidS+prvSfYENTtcNBKiqum/TBpMsAEvAA4AvA3+a5OlV9drNpqmqZWAZYN++fbW0tNS0uVasrq7S\nZYZxPqRWFtc4cFXjy1V9TxcfbNv16yw+nJu2cbRfx21j3HmAY38tmrxf52HF1/VyNQ6zSpK0+zT9\nxnw+cC/gFawXQ88BbgLeMEGbT2R9V7wvACS5BHgcsGlhJEmSJEltaloYPb6qHj80/MIkf1FV/22C\nNj8NPDbJ8azvSncG8MEJnkeSJEmSpqLp6brvl+TeRwcGt0+cpMGquhq4GLgWuG6Q4RWTPJckSZIk\nTUPTLUa/B3w4ydsGw2cB/3XSRqvqPAYnU5AkSZKkrjU9K93Lk7wXeDzrxxj9r6q6rtVkkiRJkjQj\n45yu7Aiwp6qubSmLJEmSJHWi0TFGSc4CbgAuGQzvS/LWNoNJkiRJ0qw0PfnCbwGPBv4eoKo+CDyo\nrVCSJEmSNEtNCyOq6nMjd31rylkkSZIkqRNNC6OvJjkBKIAkpwNfbiuUJEmSJM1S05MvvAR4B/CA\nJO8BHgyc3VYoSZIkTdfeg5d2HeF2Jsl05ND+FpJIzU/XfXWSJwCPY/103X9ZVW4xkiRJkrQrbFsY\nJbkj8IGqejTrW40kSZIkaVfZ9hijqroN+GKS42aQR5IkSZJmrukxRh8HrkxyMfC1o3dW1e+3kkqS\nJEmSZqhpYXQ31i/w+tCh+2r6cSRJkiRp9rYsjJK8rKpeXFXPTvKkqrpiVsEkSZIkaVa222L0hKHb\nvwNYGGlqRk/RubI43VOJzuNpSSdxrPMx7X6VJEnajbY7+UI2uS1JkiRJu8Z2W4x+MMlDWS+Khm8D\nUFUfaTOcJEmSJM3CdoXR8cDbh4aHbxfwwKknkiRJkqQZ27Iwqqq9M8ohSZIkSZ3Z9gKvkiRJkrTb\nWRhJkiRJ6j0LI0mSJEm9Z2EkSZIkqfcsjCRJkiT1noWRJEmSpN6zMJIkSZLUexZGkiRJknrPwkiS\nJElS71kYSZI0gSSvSnJrkuuH7rtnkiuSfHzwf6HLjJKk5iyMJEmazKuBM0fuOwi8q6oeDLxrMCxJ\n2gEsjCRJmkBVXQl8aeTuJeDCwe0LgafONJQkaWJ7umg0yT2AVwIPBwp4TlVd1UUWSZKm6ISqugWg\nqm5Jct8mEyVZBs4DWFhYYHV1deIAxzLtbjEPfbCyOP404+berI2VxbXxG5+Sac3DsbQxD69/1/re\nB5POfyeFEbACXFZVT0vyA8DxHeWQJKlzVbUMLAPs27evlpaWJnqe1dVVJp12t5iXPth78NJO2l1Z\nXOPAVV19vYMjh/aPNf4k/bRVG/Py+nep731wLPM/813pktwd+AngAoCq+nZVfXnWOSRJasHnk5wI\nMPh/a8d5JEkNdfGTwgOBLwB/lOQRwDXAgar6+mYTTHMXg2npMsO4m50n2aQ+i/nbaD663Pw/rpXF\ntZnsMjAN0+7Xtt4f87BsN2VWbeItwLOAQ4P/dr4k7RBdFEZ7gEcBL6iqq5OssH7Wnt/cbIJp7WIw\nLdttoht3s3Cbm50n3aQ+i03ho7re/D+Ovmcd9/3RxE7a9G9WASS5CDgduHeSm1j/Ae8Q8MYkzwU+\nDfx8dwklSePo4pvdTcBNVXX1YPhiPJ2pJGmHqapzN3nojJkGkSRNxcyPMaqqzwGfSfKQwV1nAB+Z\ndQ5JkiRJOqqrfYFeALxucEa6TwLP7iiHJEmSJHVTGFXVYWBfF21LkiRJ0qiZ70onSZIkSfPGwkiS\nJElS71kYSZIkSeq9nXEhFkmSpA5N43p9kuabW4wkSZIk9Z6FkSRJkqTeszCSJEmS1HsWRpIkSZJ6\nz8JIkiRJUu9ZGEmSJEnqPQsjSZIkSb1nYSRJkiSp9yyMJEmSJPWehZEkSZKk3tvTdQDB3oOXdh3h\nduYxk3auJu+nlcXvH+/Iof1tRpIkSfo+FkaSJGlHG/5RZfRHls3444ukUe5KJ0mSJKn3LIwkSZIk\n9Z6FkSRJkqTeszCSJEmS1HsWRpIkSZJ6z8JIkiRJUu9ZGEmSJEnqPQsjSZIkSb1nYSRJkiSp9yyM\nJEmSJPWehZEkSZKk3qHugcEAABA6SURBVLMwkiRJktR7FkaSJEmSes/CSJIkSVLvdVYYJbljkg8l\neVtXGSRJkiQJut1idAC4scP2JUmSJAnoqDBKcjKwH3hlF+1LkiRJ0rCuthj9HvDrwHc7al+SJEmS\nvmfPrBtM8hTg1qq6JsnpDadZBs4DWFhYYHV1tb2ADW2VYWVxhkEaWFlc6zpCY2Ztx7SzjrsMNl0m\nhnPOw3K+lXnPN2wnZZUkqSszL4yA04Czk5wFHAfcPclrq+rpm01QVcvAMsC+fftqaWlp4sb3Hrx0\nrPGPHNp/u/tWV1fZKsO4bbRpZXGNA1d18TKPz6ztaCPrRsvFVposE6M522hj2LjPP2y7z4CjZplp\nM02zSpLUdzPfla6qXlJVJ1fVXuAc4M+3KookSZIkqW1ex0iSJElS73W6L1BVvQd4T5cZJEmSJMkt\nRpIkSZJ6b2ccPS5JkqS5N4sTUG3Vxsri7R9v48Q2o+bhZDs6dm4xkiRJktR7FkaSJEmSes/CSJIk\nSVLvWRhJkiRJ6j0LI0mSJEm9Z2EkSZIkqfcsjCRJkiT1noWRJEmSpN7zAq+SJE1ZkiPAV4HbgLWq\n2tdtIknSdiyMJElqxxOq6otdh5AkNeOudJIkSZJ6zy1GkiRNXwGXJyngD6rqFVuNnGQZOA9gYWGB\n1dXViRs+lml3qpXF0eG1bacZt59G25hnTeZ/Nxud/1ksE+O+P9rO1MfPgWGTzr+FkaSx7T14adcR\npHl3WlXdnOS+wBVJPlpVV242clUtA8sA+/btq6WlpYkaXV1dZdJpd7Lhz6SVxTUOXNXfrzfO/+3n\n/8ih/a23O+56sc1Mff0cOOpY5t9d6SRJmrKqunnw/1bgzcBjuk0kSdqOhZEkSVOU5C5J7nb0NvBT\nwPXdppIkbae/21olSWrHCcCbk8D6evb1VXVZt5EkSduxMJIkaYqq6pPAI7rOIUkaj7vSSZIkSeo9\nCyNJkiRJvWdhJEmSJKn3LIwkSZIk9Z6FkSRJkqTeszCSJEmS1HuerluSJLVm78FLx57myKH9LSSR\npK25xUiSJElS71kYSZIkSeo9CyNJkiRJvWdhJEmSJKn3LIwkSZIk9d7MC6Mk90/y7iQ3JrkhyYFZ\nZ5AkSZKkYV2crnsNeHFVXZvkbsA1Sa6oqo90kEWSJEmSZr/FqKpuqaprB7e/CtwInDTrHJIkSZJ0\nVKcXeE2yF3gkcPU24y0D5wEsLCywuro6cZsri+ONv1lbW2UYt422rSyudR2hMbO2Y6dkHc457nI+\nrWV7mtPPOtOsn1eSpN2ks8IoyV2BNwEvqqqvbDVuVS0DywD79u2rpaWlidsd9wrcG119e3V1la0y\nTHKV77asLK5x4KpO69/GzNqOnZJ1NOdGy95WprFsN7XdZ8BRs8y0maZZJUnqu07OSpfkTqwXRa+r\nqku6yCBJkiRJR838Z+QkAS4Abqyq3511+5IkaXKz2Ctinva80M7n+0lNdbHF6DTgGcBPJjk8+Dur\ngxySJEmSBHSwxaiq3gdk1u1KkiRJ0mY6OcZIkiRJkuaJhZEkSZKk3rMwkiRJktR7FkaSJEmSes/C\nSJIkSVLvWRhJkiRJ6j0LI0mSJEm9Z2EkSZIkqfcsjCRJkiT13p6uA0iSJEl9svfgpWONf+TQ/paS\naJhbjCRJkiT1noWRJEmSpN6zMJIkSZLUexZGkiRJknrPky9sY6OD41YWxz9oTtJ42l7GjuX52/oM\nmOQ5PSBXkqTpcIuRJEmSpN6zMJIkSZLUexZGkiRJknrPwkiSJElS71kYSZIkSeo9CyNJkiRJvefp\nuiVJ2kXGPe27p3yX5t84y/UsLysz7ufHvH8+ucVIkiRJUu9ZGEmSJEnqPQsjSZIkSb1nYSRJkiSp\n9yyMJEmSJPWehZEkSZKk3rMwkiRJktR7FkaSJEmSeq+TwijJmUk+luQTSQ52kUGSpLa4npOknWfm\nhVGSOwIvB54MnAKcm+SUWeeQJKkNruckaWfqYovRY4BPVNUnq+rbwJ8ASx3kkCSpDa7nJGkHSlXN\ntsHkacCZVfVLg+FnAD9eVc/fYppl4LzB4D8CN7adcxv3A27uOENTZm2HWadvp+SE3ZP1R6rqPrMM\n0wcdr+d20nuzLX3vA+e/3/MP9sHw/I+1ntvTTp4tZYP7tqzOqmoZWG4jzCSSVFXdr+scTZi1HWad\nvp2SE8yqbXW2nvP1tg+c/37PP9gHxzL/XexKdxNw/6Hhk+l3VStJ2l1cz0nSDtRFYfTXwIOTPCDJ\nDwDnAG/pIIckSW1wPSdJO9DMd6WrqrUkzwfeCdwReFVV3TDrHMfot7oOMAaztsOs07dTcoJZtYWO\n13O+3vaB86++98HE8z/zky9IkiRJ0rzp5AKvkiRJkjRPLIwkSZIk9Z6FkSRJkqTeszCSJEmS1HsW\nRpIkSZJ6z8JIkiRJUu9ZGG0jyR2TfCjJ2zZ47BeTfCHJ4cHfL3WRcZDlSJLrBjk+uMHjSfI/knwi\nyd8keVQXOQdZtst6epJ/GOrX/9hFzkGWeyS5OMlHk9yYZHHk8bno1wY556JPkzxkKMPhJF9J8qKR\ncealT5tknYt+HWT51SQ3JLk+yUVJjht5/AeTvGHQr1cn2dtNUh2rJPdP8u7Bsn5DkgMbjDMXy1Fb\nGvbB3Cyf05bkuCR/leTDg/m/3XVbdvMy33D+5+Y7Wluy9XfUXfv6D9umD8Z+D8z8Aq870AHgRuDu\nmzz+hqp6/gzzbOUJVfXFTR57MvDgwd+PA+cP/ndlq6wA762qp8wszeZWgMuq6mlZv4L98SOPz0u/\nbpcT5qBPq+pjwKmw/mEGfBZ488hoc9GnDbPCHPRrkpOAFwKnVNU3krwROAd49dBozwX+vqp+NMk5\nwO8AvzDzsJqGNeDFVXVtkrsB1yS5oqo+MjTOXCxHLWrSBzAHy2dLvgX8ZFV9LcmdgPcleUdVfWBo\nnN28zDeZf5iv72ht2Oo76m5+/YdN9Xu6W4y2kORkYD/wyq6zTMES8Jpa9wHgHklO7DrUPEtyd+An\ngAsAqurbVfXlkdE679eGOefRGcDfVtX/Hbm/8z7dwGZZ58ke4M5J9rBeGN888vgScOHg9sXAGUky\nw3yakqq6paquHdz+KutfCk4aGW0el6OpadgHu9bgdf3aYPBOg78aGW3XLvMN539Xa/Addde+/ke1\n8T3dwmhrvwf8OvDdLcb5ucFuChcnuf+Mcm2kgMuTXJPklzd4/CTgM0PDN9HdSmS7rACLg03k70jy\nsFmGG/JA4AvAHw02074yyV1GxpmHfm2SE+ajT4edA1y0wf3z0KejNssKc9CvVfVZ4KXAp4FbgH+o\nqstHRvtev1bVGvAPwL1mmVPTN9g95pHA1SMPzeNy1Iot+gDmYPlsy2AXosPArcAVVbXpe2A3LvMN\n5h/m5ztaG7b7jrqrX/+BqX9PtzDaRJKnALdW1TVbjPZWYG9V/XPgz/j/lXkXTquqR7G++8S/TfIT\nI49v9CtBV7+ubJf1WuBHquoRwP8E/s+sAw7sAR4FnF9VjwS+DhwcGWce+rVJznnpUwAGu/udDfzp\nRg9vcF9nvwRuk3Uu+jXJAuu/Dj4AuB9wlyRPHx1tg0l79QvrbpPkrsCbgBdV1VdGH95gkl33em/T\nB3OxfLalqm6rqlOBk4HHJHn4yCi7+j3QYP7n6TvaVDX8jrqrX/+2vqdbGG3uNODsJEeAPwF+Mslr\nh0eoqr+rqm8NBv8Q+LHZRvy+LDcP/t/K+nEQjxkZ5SZguFI+mdvvajMT22Wtqq8c3UReVW8H7pTk\n3jMPut5nNw39CnUx6wXI6Dhd9+u2OeeoT496MnBtVX1+g8fmoU+HbZp1jvr1icCnquoLVfUd4BLg\ncSPjfK9fB7vb/RDwpZmm1NQMjqt4E/C6qrpkg1HmbTmauu36YI6Wz1YNdp1+D3DmyEO9WOY3m/95\n+o7Wgm2/o7L7X/9WvqdbGG2iql5SVSdX1V7Wd6P586r6vl9gR/bXPpv1fZxnLsldBgefMtiF6qeA\n60dGewvwzKx7LOu72twy46iNsib54aP7wSZ5DOvv07+bddaq+hzwmSQPGdx1BjB6YG/n/dok57z0\n6ZBz2XzXtM77dMSmWeeoXz8NPDbJ8YM8Z3D7z6O3AM8a3H4a659pu+bXwz4ZvMYXADdW1e9uMtq8\nLUdT1aQP5mj5nLok90lyj8HtO7P+48hHR0bbtct8k/mfl+9obWjyHZVd/PpDe9/TPSvdmJL8J+CD\nVfUW4IVJzmb97DhfAn6xo1gnAG8efP7vAV5fVZcl+dcAVfW/gbcDZwGfAP4RePYcZ30a8Lwka8A3\ngHM6XJhfALxusDvVJ4Fnz2m/bpdzbvo0yfHAk4BfGbpvHvu0Sda56NequjrJxazvOrQGfAh4xcjn\n1QXAHyf5BOufV+fMOqem5jTgGcB1g2MsAH4D+Ccwf8tRS5r0wVwsny05Ebgw62fMvAPwxqp6W4+W\n+SbzPy/f0WamR6//po71PZDd8xkhSZIkSZNxVzpJkiRJvWdhJEmSJKn3LIwkSZIk9Z6FkSRJkqTe\nszCSJEmS1HsWRuqdJD+f5ENJDif5aJLXDz12eHBNhGm1dSDJr03x+f5NkpdM6/kkSbuP6zlpMp6u\nW70yuNjX3wCPqqrPDC7+94iqOrzNpJO0dTxwHfDwqvrGlJ7zTqxfxO6RVfWVaTynJGn3cD0nTc4t\nRuqbHwa+w+Dq57XueyuLJJXkrklOHfyqdvTva0kODMY5K8n7k1yT5KrBVeU38nPAlcMriyQvSXJd\nkg8n+cskd0hy+mD4DwePXZvkYUnemOQjSd6Z5C6DvN8BLgd+oZ3ukSTtcK7npAlZGKlvPgz8FfDp\nJBcneVGSe42OVFWHq+rUqjoVOAh8BnhdkgcBvwk8uap+DPgl4I2btHU6cPXRgSTPAs4GTquqRwA/\nU1XfHTx8CvDyqvpnwFXAO4F/V1WnALcB5w4971XAGZPNviRpl3M9J03Iwki9UlXfraqnsv5h/m5g\nP/A3Se650fhJTgXOB86uqi8CPw08CLgyyWHgdcCeJCdsMPnJwOeHhp8CnH9014Cq+ruhxz429Ive\ntcDhqrppMHwN8KND435u8NySJH0f13PS5PZ0HUDqQlVdD1wPvDzJR1hfgVwyPE6Sk4GLgadX1ceP\n3g1cVlXPbNDMN4Djhp9yi3G/OXT7tg2Ghw+UPW7w3JIkbcj1nDQ+txipV5KclGRxaPhk4D7Ap0bG\nuxvwNuA3qur9Qw9dDpyZ5GFD4z56k+auAx4yNPxW4HmD52ajXRsaeijru0pIkvR9XM9Jk7MwUt/s\nAX4ryccGuwi8HfgPVfWhkfF+lvUP+98YOjD1Xw1+UXs6cMHgQNIbgV/ZpK1LWN8l4ajXsL7S+ECS\nDwOrSSZZBn8aeNME00mSdj/Xc9KEPF231KIk7wQObrBCmvT5/inwB1X1+Gk8nyRJx8L1nHYTtxhJ\n7Xo+cOIUn+/+wPOm+HySJB0L13PaNdxiJEmSJKn33GIkSZIkqfcsjCRJkiT1noWRJEmSpN6zMJIk\nSZLUexZGkiRJknrv/wG8TWlWKpZ4MwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa98e0b90b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# To create four separate plots, use Pandas `.hist` method\n",
    "axList = df.hist(bins=25)\n",
    "# Add some x- and y- labels to first column and last row\n",
    "for ax in axList.flatten():\n",
    "    if ax.is_last_row():\n",
    "        ax.set_xlabel('Size (cm)')\n",
    "        \n",
    "    if ax.is_first_col():\n",
    "        ax.set_ylabel('Frequency')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 8¶\n",
    "Using Pandas, make a boxplot of each petal and sepal measurement. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa98dfe3128>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QgngBAABaEC8AAEAL4gUAAGhBvAAAAC2IFwAAoAXxAgAAtCBeAACAFsQLAADQgngBAABa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\ngoMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa98ebdc668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.box()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa98ee01630>"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zuaiIwQ8RERFRCFbZW5zBj9nz4/y4XljT3vzK3oDYAjc5TKJee6Dc6IODQHNl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1dc/8ITSPVB+2vWMD2MRiPDakFKqM4pfWNvt6xH92q4bTuo51i+VuOmQ8igydHzvfA4q8Z/p0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H39x8tmuCoRLYNaAOU0kcR6nB/EG7WP4b+xN+A4jeP/NaqTIxvUjln0YajOCs2ZClGN09ys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\nV6j5OR22RupnljSby7Sqb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aWW9h37/Uzu8y9sYLtqd9Y6uCv7fjKkuartMM/4S9njZxW+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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa98df28be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.area()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 9\n",
    "Now make a single boxplot where the features are separated in the x-axis and species are colored with different hues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>species</th>\n",
       "      <th>measurement</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>setosa</td>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>setosa</td>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   species   measurement  size\n",
       "0   setosa  sepal_length   5.1\n",
       "1   setosa   sepal_width   3.5\n",
       "2   setosa  petal_length   1.4\n",
       "3   setosa   petal_width   0.2\n",
       "4   setosa  sepal_length   4.9\n",
       "5   setosa   sepal_width   3.0\n",
       "6   setosa  petal_length   1.4\n",
       "7   setosa   petal_width   0.2\n",
       "8   setosa  sepal_length   4.7\n",
       "9   setosa   sepal_width   3.2\n",
       "10  setosa  petal_length   1.3\n",
       "11  setosa   petal_width   0.2\n",
       "12  setosa  sepal_length   4.6\n",
       "13  setosa   sepal_width   3.1\n",
       "14  setosa  petal_length   1.5\n",
       "15  setosa   petal_width   0.2\n",
       "16  setosa  sepal_length   5.0\n",
       "17  setosa   sepal_width   3.6\n",
       "18  setosa  petal_length   1.4\n",
       "19  setosa   petal_width   0.2"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_data = df.set_index('species')\\\n",
    "    .stack()\\\n",
    "    .to_frame()\\\n",
    "   .reset_index()\\\n",
    "   .rename(columns={0:'size','level_1':'measurement'})\n",
    "plot_data.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa98e832e10>"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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OyFlnnZVGo5F169ZV9TGTCBsAABizWlpacvjhh+djH/tYDjnkkEyYMOFpfzakvb09d955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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa98e610908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('white')\n",
    "sns.set_context('notebook')\n",
    "sns.set_palette('dark')\n",
    "sns.boxplot(x='measurement',y='size',hue='species',data=plot_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 10¶\n",
    "Make a pairplot with Seaborn to examine the correlation between each of the measurements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fa98e0d52b0>"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bNGNq1Mhh6rjsToLQ3f1A0/JME6bcLwAESobDVSzqdsxoHq8vcS/IE91Jkybh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\nqYWuoiiKoiiKMi79G3dBBtSvyIYnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa98e0d5630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ** END of lesson **"
   ]
  },
  {
   "cell_type": "code",
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