{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "46f2ab78",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0fbbcef4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "087c2db0",
   "metadata": {},
   "source": [
    "## A note on viewing output\n",
    "\n",
    "When we create a variable and then put that on the last line of a cell, jupyter\n",
    "*displays* it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3b21650f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'sarah'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "name = 'sarah'\n",
    "name"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca6982be",
   "metadata": {},
   "source": [
    "How it displays it depends on the type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c90d19eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d94457dd",
   "metadata": {},
   "source": [
    "For a string, it uses `print`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "13d9ca21",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sarah\n"
     ]
    }
   ],
   "source": [
    "print(name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98d33024",
   "metadata": {},
   "source": [
    "so this and the one above look the same.  For objects that have a `_repr_html_`\n",
    "method, jupyter uses that, and then your brownser uses html to render the object\n",
    "in a more visually appealing way.\n",
    "\n",
    "## Review from Monday\n",
    "\n",
    "We will load the robusta data briefly again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3844d04a",
   "metadata": {},
   "outputs": [],
   "source": [
    "robusta_data_url = 'https://raw.githubusercontent.com/jldbc/coffee-quality-database/master/data/robusta_data_cleaned.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29c7cef2",
   "metadata": {},
   "source": [
    "Is the robusta coffee's Mouthfeel or Aftertaste rated more consistently"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d80a0d8d",
   "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>Unnamed: 0</th>\n",
       "      <th>Number.of.Bags</th>\n",
       "      <th>Harvest.Year</th>\n",
       "      <th>Fragrance...Aroma</th>\n",
       "      <th>Flavor</th>\n",
       "      <th>Aftertaste</th>\n",
       "      <th>Salt...Acid</th>\n",
       "      <th>Bitter...Sweet</th>\n",
       "      <th>Mouthfeel</th>\n",
       "      <th>Uniform.Cup</th>\n",
       "      <th>...</th>\n",
       "      <th>Balance</th>\n",
       "      <th>Cupper.Points</th>\n",
       "      <th>Total.Cup.Points</th>\n",
       "      <th>Moisture</th>\n",
       "      <th>Category.One.Defects</th>\n",
       "      <th>Quakers</th>\n",
       "      <th>Category.Two.Defects</th>\n",
       "      <th>altitude_low_meters</th>\n",
       "      <th>altitude_high_meters</th>\n",
       "      <th>altitude_mean_meters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>28.0</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>25.00000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>14.500000</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>2013.964286</td>\n",
       "      <td>7.702500</td>\n",
       "      <td>7.630714</td>\n",
       "      <td>7.559643</td>\n",
       "      <td>7.657143</td>\n",
       "      <td>7.675714</td>\n",
       "      <td>7.506786</td>\n",
       "      <td>9.904286</td>\n",
       "      <td>...</td>\n",
       "      <td>7.541786</td>\n",
       "      <td>7.761429</td>\n",
       "      <td>80.868929</td>\n",
       "      <td>0.065714</td>\n",
       "      <td>2.964286</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.892857</td>\n",
       "      <td>1367.60000</td>\n",
       "      <td>1387.600000</td>\n",
       "      <td>1377.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.225975</td>\n",
       "      <td>143.226317</td>\n",
       "      <td>1.346660</td>\n",
       "      <td>0.296156</td>\n",
       "      <td>0.303656</td>\n",
       "      <td>0.342469</td>\n",
       "      <td>0.261773</td>\n",
       "      <td>0.317063</td>\n",
       "      <td>0.725152</td>\n",
       "      <td>0.238753</td>\n",
       "      <td>...</td>\n",
       "      <td>0.526076</td>\n",
       "      <td>0.330507</td>\n",
       "      <td>2.441233</td>\n",
       "      <td>0.058464</td>\n",
       "      <td>12.357280</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.601129</td>\n",
       "      <td>838.06205</td>\n",
       "      <td>831.884207</td>\n",
       "      <td>833.980216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2012.000000</td>\n",
       "      <td>6.750000</td>\n",
       "      <td>6.670000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>6.830000</td>\n",
       "      <td>6.670000</td>\n",
       "      <td>5.080000</td>\n",
       "      <td>9.330000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.250000</td>\n",
       "      <td>6.920000</td>\n",
       "      <td>73.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>40.00000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2013.000000</td>\n",
       "      <td>7.580000</td>\n",
       "      <td>7.560000</td>\n",
       "      <td>7.397500</td>\n",
       "      <td>7.560000</td>\n",
       "      <td>7.580000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>7.580000</td>\n",
       "      <td>80.170000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>795.00000</td>\n",
       "      <td>795.000000</td>\n",
       "      <td>795.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>14.500000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>2014.000000</td>\n",
       "      <td>7.670000</td>\n",
       "      <td>7.710000</td>\n",
       "      <td>7.670000</td>\n",
       "      <td>7.710000</td>\n",
       "      <td>7.750000</td>\n",
       "      <td>7.670000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.670000</td>\n",
       "      <td>7.830000</td>\n",
       "      <td>81.500000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1095.00000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>1100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>21.250000</td>\n",
       "      <td>320.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>7.920000</td>\n",
       "      <td>7.830000</td>\n",
       "      <td>7.770000</td>\n",
       "      <td>7.830000</td>\n",
       "      <td>7.830000</td>\n",
       "      <td>7.830000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.830000</td>\n",
       "      <td>7.920000</td>\n",
       "      <td>82.520000</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1488.00000</td>\n",
       "      <td>1488.000000</td>\n",
       "      <td>1488.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>28.000000</td>\n",
       "      <td>320.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>8.330000</td>\n",
       "      <td>8.080000</td>\n",
       "      <td>7.920000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.420000</td>\n",
       "      <td>8.250000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.580000</td>\n",
       "      <td>83.750000</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>3170.00000</td>\n",
       "      <td>3170.000000</td>\n",
       "      <td>3170.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0  Number.of.Bags  Harvest.Year  Fragrance...Aroma     Flavor  \\\n",
       "count   28.000000       28.000000     28.000000          28.000000  28.000000   \n",
       "mean    14.500000      168.000000   2013.964286           7.702500   7.630714   \n",
       "std      8.225975      143.226317      1.346660           0.296156   0.303656   \n",
       "min      1.000000        1.000000   2012.000000           6.750000   6.670000   \n",
       "25%      7.750000        1.000000   2013.000000           7.580000   7.560000   \n",
       "50%     14.500000      170.000000   2014.000000           7.670000   7.710000   \n",
       "75%     21.250000      320.000000   2015.000000           7.920000   7.830000   \n",
       "max     28.000000      320.000000   2017.000000           8.330000   8.080000   \n",
       "\n",
       "       Aftertaste  Salt...Acid  Bitter...Sweet  Mouthfeel  Uniform.Cup  ...  \\\n",
       "count   28.000000    28.000000       28.000000  28.000000    28.000000  ...   \n",
       "mean     7.559643     7.657143        7.675714   7.506786     9.904286  ...   \n",
       "std      0.342469     0.261773        0.317063   0.725152     0.238753  ...   \n",
       "min      6.500000     6.830000        6.670000   5.080000     9.330000  ...   \n",
       "25%      7.397500     7.560000        7.580000   7.500000    10.000000  ...   \n",
       "50%      7.670000     7.710000        7.750000   7.670000    10.000000  ...   \n",
       "75%      7.770000     7.830000        7.830000   7.830000    10.000000  ...   \n",
       "max      7.920000     8.000000        8.420000   8.250000    10.000000  ...   \n",
       "\n",
       "         Balance  Cupper.Points  Total.Cup.Points   Moisture  \\\n",
       "count  28.000000      28.000000         28.000000  28.000000   \n",
       "mean    7.541786       7.761429         80.868929   0.065714   \n",
       "std     0.526076       0.330507          2.441233   0.058464   \n",
       "min     5.250000       6.920000         73.750000   0.000000   \n",
       "25%     7.500000       7.580000         80.170000   0.000000   \n",
       "50%     7.670000       7.830000         81.500000   0.100000   \n",
       "75%     7.830000       7.920000         82.520000   0.120000   \n",
       "max     8.000000       8.580000         83.750000   0.130000   \n",
       "\n",
       "       Category.One.Defects  Quakers  Category.Two.Defects  \\\n",
       "count             28.000000     28.0             28.000000   \n",
       "mean               2.964286      0.0              1.892857   \n",
       "std               12.357280      0.0              2.601129   \n",
       "min                0.000000      0.0              0.000000   \n",
       "25%                0.000000      0.0              0.000000   \n",
       "50%                0.000000      0.0              1.000000   \n",
       "75%                0.000000      0.0              2.000000   \n",
       "max               63.000000      0.0              9.000000   \n",
       "\n",
       "       altitude_low_meters  altitude_high_meters  altitude_mean_meters  \n",
       "count             25.00000             25.000000             25.000000  \n",
       "mean            1367.60000           1387.600000           1377.600000  \n",
       "std              838.06205            831.884207            833.980216  \n",
       "min               40.00000             40.000000             40.000000  \n",
       "25%              795.00000            795.000000            795.000000  \n",
       "50%             1095.00000           1200.000000           1100.000000  \n",
       "75%             1488.00000           1488.000000           1488.000000  \n",
       "max             3170.00000           3170.000000           3170.000000  \n",
       "\n",
       "[8 rows x 21 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "robusta_df = pd.read_csv(robusta_data_url)\n",
    "robusta_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f03f056",
   "metadata": {},
   "source": [
    "from the lower `std` we can see that Aftertaste is more consistently rated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "709a978f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: ylabel='Frequency'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fL5aoZKxWq8LDw5WXl1fkxf7SpUvKzs5Ww4YNFRwc7KGEqAj83QJw6ze5u4oT3whfWZX2+v1HnJkBAACmRpkBAACmRpkBAACmRpkBAACmRpkBAACmRpmRinz7LcyPv1MA8B0+XWaufw3/xYsXPZwErnb58mVJKvIlggCAysenf87Az89P1atXt/8oYtWqVWWxWDycCjersLBQv/zyi6pWrVrszyUAACoXnz/SR0ZGSlKpv/IM86lSpYpiY2MppwDgA3y+zFgsFkVFRSkiIqJcvxQN7xYYGGj/aQQAQOXm82XmOj8/P66vAADAhPinKwAAMDWPlpkdO3aob9++io6OlsVi0bp160rc9plnnpHFYtGCBQvclg8AAHg/j5aZCxcuqG3btlq4cGGp23344Yf6+uuvFR0d7aZkAADALDx6zUyvXr3Uq1evUrf5+eefNXr0aG3evFkJCQluSgYAAMzCqy8ALiws1JAhQzRhwgS1atWqTPvYbDbZbDb7stVqrah4AADAC3j1BcBz586Vv7+/xowZU+Z9UlJSFB4ebr/FxMRUYEIAAOBpXltm9u3bp9dee02pqanl+uKzKVOmKC8vz347ceJEBaYEAACe5rVl5osvvtCZM2cUGxsrf39/+fv76/jx43r++ecVFxdX4n5BQUEKCwtzuAEAgMrLa6+ZGTJkiLp37+4wFh8fryFDhigpKclDqQAAgLfxaJnJz8/X0aNH7cvZ2dnav3+/atasqdjYWNWqVcth+4CAAEVGRqp58+bujgoAALyUR8vM3r171a1bN/tycnKyJGnYsGFKTU31UCoAAGAmHi0zXbt2lWEYZd7+2LFjFRcGAACYktdeAAwAAFAWlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqlBkAAGBqHi0zO3bsUN++fRUdHS2LxaJ169bZ1125ckWTJk1SmzZtVK1aNUVHR2vo0KE6efKk5wIDAACv49Eyc+HCBbVt21YLFy4ssu7ixYvKyMjQ1KlTlZGRobVr1yozM1MPPvigB5ICAABv5e/JB+/Vq5d69epV7Lrw8HB9+umnDmNvvPGG7rjjDuXk5Cg2NtYdEQEAgJfzaJkpr7y8PFksFlWvXr3EbWw2m2w2m33ZarW6IRkAAPAU01wAfOnSJU2aNEmDBg1SWFhYidulpKQoPDzcfouJiXFjSgAA4G6mKDNXrlzRY489JsMwtGjRolK3nTJlivLy8uy3EydOuCklAADwBK9/m+l6kTl+/Lg+++yzUs/KSFJQUJCCgoLclA4AAHiaV5eZ60XmyJEj2rZtm2rVquXpSAAAwMt4tMzk5+fr6NGj9uXs7Gzt379fNWvWVFRUlB555BFlZGRow4YNKigo0KlTpyRJNWvWVGBgoKdiAwAAL+LRMrN3715169bNvpycnCxJGjZsmGbMmKH169dLktq1a+ew37Zt29S1a1d3xQQAAF7Mo2Wma9euMgyjxPWlrQMAAJBM8mkmAACAklBmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqXm0zOzYsUN9+/ZVdHS0LBaL1q1b57DeMAxNmzZNUVFRCgkJUffu3XXkyBHPhAUAAF7Jo2XmwoULatu2rRYuXFjs+nnz5un111/X4sWL9c9//lPVqlVTfHy8Ll265OakAADAW/l78sF79eqlXr16FbvOMAwtWLBAf/nLX/TQQw9JklasWKG6detq3bp1evzxx90ZFQAAeCmvvWYmOztbp06dUvfu3e1j4eHh6tSpk3bt2lXifjabTVar1eEGAAAqL68tM6dOnZIk1a1b12G8bt269nXFSUlJUXh4uP0WExNToTkBAIBneW2ZcdaUKVOUl5dnv504ccLTkQAAQAXy2jITGRkpSTp9+rTD+OnTp+3rihMUFKSwsDCHGwAAqLycKjM//vijq3MU0bBhQ0VGRmrr1q32MavVqn/+85+68847K/zxAQCAOThVZpo0aaJu3brp7bffvqmPSefn52v//v3av3+/pGsX/e7fv185OTmyWCwaN26cXnrpJa1fv17ffvuthg4dqujoaPXr18/pxwQAAJWLU2UmIyNDt912m5KTkxUZGamnn35au3fvLvf97N27V+3bt1f79u0lScnJyWrfvr2mTZsmSZo4caJGjx6tP//5z7r99tuVn5+v9PR0BQcHOxMbAABUQhbDMAxnd7569arWr1+v1NRUpaenq1mzZhoxYoSGDBmiOnXquDKn06xWq8LDw5WXl8f1MwDgS2aEezpB+c3I83QCr1Ge1++bugDY399fAwYM0Pvvv6+5c+fq6NGjeuGFFxQTE6OhQ4cqNzf3Zu4eAADghm6qzOzdu1f/+Z//qaioKM2fP18vvPCCsrKy9Omnn+rkyZP2b+4FAACoKE79nMH8+fO1fPlyZWZmqnfv3lqxYoV69+6tKlWudaOGDRsqNTVVcXFxrswKAABQhFNlZtGiRRoxYoSGDx+uqKioYreJiIjQ0qVLbyocAADAjThVZo4cOXLDbQIDAzVs2DBn7h4AAKDMnLpmZvny5Xr//feLjL///vtKS0u76VAAAABl5VSZSUlJUe3atYuMR0REaPbs2TcdCgAAoKycKjM5OTlq2LBhkfEGDRooJyfnpkMBAACUlVNlJiIiQgcPHiwyfuDAAdWqVeumQwEAAJSVU2Vm0KBBGjNmjLZt26aCggIVFBTos88+09ixY/X444+7OiMAAECJnPo006xZs3Ts2DHdf//98ve/dheFhYUaOnQo18wAAAC3cqrMBAYG6t1339WsWbN04MABhYSEqE2bNmrQoIGr8wEAAJTKqTJzXbNmzdSsWTNXZQEAACg3p8pMQUGBUlNTtXXrVp05c0aFhYUO6z/77DOXhAMAALgRp8rM2LFjlZqaqoSEBLVu3VoWi8XVuQAAAMrEqTKzevVqvffee+rdu7er8wAAAJSLUx/NDgwMVJMmTVydBQAAoNycKjPPP/+8XnvtNRmG4eo8AAAA5eLU20xffvmltm3bpk2bNqlVq1YKCAhwWL927VqXhAMAALgRp8pM9erV1b9/f1dnAQAAKDenyszy5ctdnQMAAMApTl0zI0lXr17Vli1b9Oabb+r8+fOSpJMnTyo/P99l4QAAAG7EqTMzx48fV8+ePZWTkyObzaYHHnhAoaGhmjt3rmw2mxYvXuzqnAAAAMVy6szM2LFj1bFjR507d04hISH28f79+2vr1q0uCwcAAHAjTp2Z+eKLL/TVV18pMDDQYTwuLk4///yzS4IBAACUhVNnZgoLC1VQUFBk/KefflJoaOhNhwIAACgrp8pMjx49tGDBAvuyxWJRfn6+pk+fzk8cAAAAt3LqbaZXX31V8fHxatmypS5duqQnnnhCR44cUe3atbVq1SpXZwQAACiRU2Wmfv36OnDggFavXq2DBw8qPz9fI0eO1ODBgx0uCAYAAKhoTpUZSfL391diYqIrswAAAJSbU2VmxYoVpa4fOnSoU2EAAADKy6kyM3bsWIflK1eu6OLFiwoMDFTVqlUpMwAAwG2c+jTTuXPnHG75+fnKzMxUly5duAAYAAC4ldO/zfRHTZs21Zw5c4qctbkZBQUFmjp1qho2bKiQkBA1btxYs2bNkmEYLnsMAABgbk5fAFzsnfn76+TJky67v7lz52rRokVKS0tTq1attHfvXiUlJSk8PFxjxoxx2eMAAADzcqrMrF+/3mHZMAzl5ubqjTfeUOfOnV0STJK++uorPfTQQ0pISJB07ecSVq1apd27d7vsMQAAgLk5VWb69evnsGyxWFSnTh3dd999evXVV12RS5J011136a233tLhw4fVrFkzHThwQF9++aXmz59f4j42m002m82+bLVaXZYHAAB4H6fKTGFhoatzFGvy5MmyWq1q0aKF/Pz8VFBQoJdfflmDBw8ucZ+UlBTNnDnTLfkAwFfETd7o6QjldizY0wngLi67ALgivPfee3rnnXe0cuVKZWRkKC0tTX/729+UlpZW4j5TpkxRXl6e/XbixAk3JgYAAO7m1JmZ5OTkMm9b2ltCNzJhwgRNnjxZjz/+uCSpTZs2On78uFJSUjRs2LBi9wkKClJQUJDTjwkAAMzFqTLzzTff6JtvvtGVK1fUvHlzSdLhw4fl5+enDh062LezWCw3Fe7ixYuqUsXx5JGfn5/b3uYCAADez6ky07dvX4WGhiotLU01atSQdO2L9JKSknT33Xfr+eefd0m4vn376uWXX1ZsbKxatWqlb775RvPnz9eIESNccv8AAMD8LIYT30BXr149ffLJJ2rVqpXD+KFDh9SjRw+XfdfM+fPnNXXqVH344Yc6c+aMoqOjNWjQIE2bNk2BgYFlug+r1arw8HDl5eUpLCzMJbkAwNeY8wLgJzwdofxm5Hk6gdcoz+u3U2dmrFarfvnllyLjv/zyi86fP+/MXRYrNDRUCxYs0IIFC1x2nwAAoHJx6tNM/fv3V1JSktauXauffvpJP/30k9asWaORI0dqwIABrs4IAABQIqfOzCxevFgvvPCCnnjiCV25cuXaHfn7a+TIkXrllVdcGhAAAKA0TpWZqlWr6u9//7teeeUVZWVlSZIaN26satWquTQcAADAjdzUl+bl5uYqNzdXTZs2VbVq1fg1awAA4HZOlZnffvtN999/v5o1a6bevXsrNzdXkjRy5EiXfSwbAACgLJwqM+PHj1dAQIBycnJUtWpV+/jAgQOVnp7usnAAAAA34tQ1M5988ok2b96s+vXrO4w3bdpUx48fd0kwAACAsnDqzMyFCxcczshcd/bsWX4XCQAAuJVTZebuu+/WihUr7MsWi0WFhYWaN2+eunXr5rJwAAAAN+LU20zz5s3T/fffr7179+ry5cuaOHGivvvuO509e1Y7d+50dUYAAIASOXVmpnXr1jp8+LC6dOmihx56SBcuXNCAAQP0zTffqHHjxq7OCAAAUKJyn5m5cuWKevbsqcWLF+vFF1+siEwAAABlVu4zMwEBATp48GBFZAEAACg3p95mSkxM1NKlS12dBQAAoNycugD46tWrWrZsmbZs2aI//elPRX6Taf78+S4JBwAAcCPlKjM//vij4uLidOjQIXXo0EGSdPjwYYdtLBaL69IBALzCseAnPB0BKFG5ykzTpk2Vm5urbdu2Sbr28wWvv/666tatWyHhAAAAbqRc18z88VexN23apAsXLrg0EAAAQHk4dQHwdX8sNwAAAO5WrjJjsViKXBPDNTIAAMCTynXNjGEYGj58uP3HJC9duqRnnnmmyKeZ1q5d67qEAAAApShXmRk2bJjDcmJiokvDAAAAlFe5yszy5csrKgcAAIBTbuoCYAAAAE+jzAAAAFOjzAAAAFOjzAAAAFOjzAAAAFOjzAAAAFOjzAAAAFOjzAAAAFOjzAAAAFOjzAAAAFPz+jLz888/KzExUbVq1VJISIjatGmjvXv3ejoWAADwEuX6bSZ3O3funDp37qxu3bpp06ZNqlOnjo4cOaIaNWp4OhoAAPASXl1m5s6dq5iYGIcfuGzYsKEHEwEAAG/j1W8zrV+/Xh07dtSjjz6qiIgItW/fXkuWLCl1H5vNJqvV6nADAACVl1eXmR9//FGLFi1S06ZNtXnzZj377LMaM2aM0tLSStwnJSVF4eHh9ltMTIwbEwMAAHezGIZheDpESQIDA9WxY0d99dVX9rExY8Zoz5492rVrV7H72Gw22Ww2+7LValVMTIzy8vIUFhZW4ZkBoFKaEe7pBL5hRp6nE3gNq9Wq8PDwMr1+e/WZmaioKLVs2dJh7NZbb1VOTk6J+wQFBSksLMzhBgAAKi+vLjOdO3dWZmamw9jhw4fVoEEDDyUCAADexqvLzPjx4/X1119r9uzZOnr0qFauXKm33npLo0aN8nQ0AADgJby6zNx+++368MMPtWrVKrVu3VqzZs3SggULNHjwYE9HAwAAXsKrv2dGkvr06aM+ffp4OgYAAPBSXn1mBgAA4EYoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNQoMwAAwNRMVWbmzJkji8WicePGeToKAADwEqYpM3v27NGbb76p2267zdNRAACAFzFFmcnPz9fgwYO1ZMkS1ahRw9NxAACAFzFFmRk1apQSEhLUvXv3G25rs9lktVodbgAAoPLy93SAG1m9erUyMjK0Z8+eMm2fkpKimTNnVnAqAADgLbz6zMyJEyc0duxYvfPOOwoODi7TPlOmTFFeXp79duLEiQpOCQAAPMmrz8zs27dPZ86cUYcOHexjBQUF2rFjh9544w3ZbDb5+fk57BMUFKSgoCB3RwUAAB7i1WXm/vvv17fffuswlpSUpBYtWmjSpElFigwAAPA9Xl1mQkND1bp1a4exatWqqVatWkXGAQCAb/Lqa2YAAABuxKvPzBRn+/btno4AAAC8CGdmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqVFmAACAqXl9mUlJSdHtt9+u0NBQRUREqF+/fsrMzPR0LAAA4CW8vsx8/vnnGjVqlL7++mt9+umnunLlinr06KELFy54OhoAAPAC/p4OcCPp6ekOy6mpqYqIiNC+fft0zz33eCgVAADwFl5fZv4oLy9PklSzZs1i19tsNtlsNvuy1Wp1Sy4AAOAZpiozhYWFGjdunDp37qzWrVsXu01KSopmzpzpvlAzwt33WK4yI8/TCQCfFjd5o6cjlNuxYE8n8BG8pjjF66+Z+XejRo3SoUOHtHr16hK3mTJlivLy8uy3EydOuDEhAABwN9OcmXnuuee0YcMG7dixQ/Xr1y9xu6CgIAUFBbkxGQAA8CSvLzOGYWj06NH68MMPtX37djVs2NDTkQAAgBfx+jIzatQorVy5Uh999JFCQ0N16tQpSVJ4eLhCQkI8nA4AAHia118zs2jRIuXl5alr166Kioqy3959911PRwMAAF7A68/MGIbh6QgAAMCLef2ZGQAAgNJQZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKlRZgAAgKn5ezoAAO8RN3mjpyOU27HgJzwdodyOBXs6AVC5cGYGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYGmUGAACYminKzMKFCxUXF6fg4GB16tRJu3fv9nQkAADgJby+zLz77rtKTk7W9OnTlZGRobZt2yo+Pl5nzpzxdDQAAOAFvL7MzJ8/X0899ZSSkpLUsmVLLV68WFWrVtWyZcs8HQ0AAHgBf08HKM3ly5e1b98+TZkyxT5WpUoVde/eXbt27Sp2H5vNJpvNZl/Oy8uTJFmt1ooJaTMq5n4rUkXNBUyv0HbR0xHKzWox4f+DQGVSQa8p11+3DePG/497dZn59ddfVVBQoLp16zqM161bV//3f/9X7D4pKSmaOXNmkfGYmJgKyWhKc8I9nQBwGZ7NgIdV8GvK+fPnFR5e+mN4dZlxxpQpU5ScnGxfLiws1NmzZ1WrVi1ZLJZS97VarYqJidGJEycUFhZW0VFNhbkpGXNTOuanZMxNyZibkvnK3BiGofPnzys6OvqG23p1maldu7b8/Px0+vRph/HTp08rMjKy2H2CgoIUFBTkMFa9evVyPW5YWFilfoLcDOamZMxN6ZifkjE3JWNuSuYLc3OjMzLXefUFwIGBgfrTn/6krVu32scKCwu1detW3XnnnR5MBgAAvIVXn5mRpOTkZA0bNkwdO3bUHXfcoQULFujChQtKSkrydDQAAOAFvL7MDBw4UL/88oumTZumU6dOqV27dkpPTy9yUbArBAUFafr06UXepgJzUxrmpnTMT8mYm5IxNyVjboqyGGX5zBMAAICX8uprZgAAAG6EMgMAAEyNMgMAAEyNMgMAAEzNZ8rMjBkzZLFYHG4tWrQodZ/3339fLVq0UHBwsNq0aaOPP/7YTWndq7xzk5qaWmT74OBgNyZ2r59//lmJiYmqVauWQkJC1KZNG+3du7fUfbZv364OHTooKChITZo0UWpqqnvCekB552f79u1Fnj8Wi0WnTp1yY+qKFxcXV+yfc9SoUSXu4yvHnPLOjS8dcwoKCjR16lQ1bNhQISEhaty4sWbNmnXD3yfypWNOcbz+o9mu1KpVK23ZssW+7O9f8h//q6++0qBBg5SSkqI+ffpo5cqV6tevnzIyMtS6dWt3xHWr8syNdO2bJzMzM+3LN/qpCLM6d+6cOnfurG7dumnTpk2qU6eOjhw5oho1apS4T3Z2thISEvTMM8/onXfe0datW/Xkk08qKipK8fHxbkxf8ZyZn+syMzMdvr00IiKiIqO63Z49e1RQUGBfPnTokB544AE9+uijxW7vS8ec8s6N5DvHnLlz52rRokVKS0tTq1attHfvXiUlJSk8PFxjxowpdh9fOuaUyPAR06dPN9q2bVvm7R977DEjISHBYaxTp07G008/7eJknlfeuVm+fLkRHh5eYXm8yaRJk4wuXbqUa5+JEycarVq1chgbOHCgER8f78poXsGZ+dm2bZshyTh37lzFhPJSY8eONRo3bmwUFhYWu96Xjjl/dKO58aVjTkJCgjFixAiHsQEDBhiDBw8ucR9fOuaUxGfeZpKkI0eOKDo6Wo0aNdLgwYOVk5NT4ra7du1S9+7dHcbi4+O1a9euio7pEeWZG0nKz89XgwYNFBMTo4ceekjfffedm5K61/r169WxY0c9+uijioiIUPv27bVkyZJS9/Gl544z83Ndu3btFBUVpQceeEA7d+6s4KSedfnyZb399tsaMWJEiWcUfOl58+/KMjeS7xxz7rrrLm3dulWHDx+WJB04cEBffvmlevXqVeI+vvrc+Xc+U2Y6deqk1NRUpaena9GiRcrOztbdd9+t8+fPF7v9qVOninzLcN26dSvd+/pS+eemefPmWrZsmT766CO9/fbbKiws1F133aWffvrJzckr3o8//qhFixapadOm2rx5s5599lmNGTNGaWlpJe5T0nPHarXqX//6V0VHditn5icqKkqLFy/WmjVrtGbNGsXExKhr167KyMhwY3L3WrdunX7//XcNHz68xG186Zjz78oyN750zJk8ebIef/xxtWjRQgEBAWrfvr3GjRunwYMHl7iPLx1zSuTpU0Oecu7cOSMsLMz43//932LXBwQEGCtXrnQYW7hwoREREeGOeB51o7n5o8uXLxuNGzc2/vKXv1RwMvcLCAgw7rzzToex0aNHG//xH/9R4j5NmzY1Zs+e7TC2ceNGQ5Jx8eLFCsnpKc7MT3HuueceIzEx0ZXRvEqPHj2MPn36lLqNrx5zyjI3f1SZjzmrVq0y6tevb6xatco4ePCgsWLFCqNmzZpGampqifv40jGnJD5zZuaPqlevrmbNmuno0aPFro+MjNTp06cdxk6fPq3IyEh3xPOoG83NH13/10NZtzeTqKgotWzZ0mHs1ltvLfVtuJKeO2FhYQoJCamQnJ7izPwU54477qiUzx9JOn78uLZs2aInn3yy1O188ZhT1rn5o8p8zJkwYYL97EybNm00ZMgQjR8/XikpKSXu40vHnJL4bJnJz89XVlaWoqKiil1/5513auvWrQ5jn376qe688053xPOoG83NHxUUFOjbb78t8/Zm0rlzZ4dPUEjS4cOH1aBBgxL38aXnjjPzU5z9+/dXyuePJC1fvlwRERFKSEgodTtfet5cV9a5+aPKfMy5ePGiqlRxfGn28/NTYWFhifv44nOnCE+fGnKX559/3ti+fbuRnZ1t7Ny50+jevbtRu3Zt48yZM4ZhGMaQIUOMyZMn27ffuXOn4e/vb/ztb38zfvjhB2P69OlGQECA8e2333rqj1Bhyjs3M2fONDZv3mxkZWUZ+/btMx5//HEjODjY+O677zz1R6gwu3fvNvz9/Y2XX37ZOHLkiPHOO+8YVatWNd5++237NpMnTzaGDBliX/7xxx+NqlWrGhMmTDB++OEHY+HChYafn5+Rnp7uiT9ChXJmfv77v//bWLdunXHkyBHj22+/NcaOHWtUqVLF2LJliyf+CBWqoKDAiI2NNSZNmlRknS8fcwyjfHPjS8ecYcOGGfXq1TM2bNhgZGdnG2vXrjVq165tTJw40b6NLx9zSuIzZWbgwIFGVFSUERgYaNSrV88YOHCgcfToUfv6e++91xg2bJjDPu+9957RrFkzIzAw0GjVqpWxceNGN6d2j/LOzbhx44zY2FgjMDDQqFu3rtG7d28jIyPDA8nd4x//+IfRunVrIygoyGjRooXx1ltvOawfNmyYce+99zqMbdu2zWjXrp0RGBhoNGrUyFi+fLn7ArtZeedn7ty5RuPGjY3g4GCjZs2aRteuXY3PPvvMzandY/PmzYYkIzMzs8g6Xz7mGEb55saXjjlWq9UYO3asERsbawQHBxuNGjUyXnzxRcNms9m38fVjTnEshnGDrxUEAADwYj57zQwAAKgcKDMAAMDUKDMAAMDUKDMAAMDUKDMAAMDUKDMAAMDUKDMAAMDUKDMAAMDUKDMAAMDUKDMAAMDUKDMAAMDUKDMAAMDU/h/6T2NihgtZvAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_13_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "robusta_df[['Aftertaste','Mouthfeel']].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "365a2698",
   "metadata": {},
   "source": [
    "We can change the kind, for example to a [Kernel Density Estimate](https://en.wikipedia.org/wiki/Kernel_density_estimation).\n",
    "This approximates the distribution of the data, you can think of it rougly like\n",
    "a smoothed out histogram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "679e16c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: ylabel='Density'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_15_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "robusta_df[['Aftertaste','Mouthfeel']].plot(kind='kde')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01292168",
   "metadata": {},
   "source": [
    "This version makess it more visually clear that the the Aftertaste is more consistently, but it also helps us see that that might not be the whole story.  Both have a second smaller bump, so the overall std might not be the best measure.\n",
    "\n",
    "```{admonition} Question from class\n",
    "Why do we need two sets of brackets?\n",
    "```\n",
    "\n",
    "It tries to use them to index in multiple ways instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ad68e886",
   "metadata": {
    "tags": [
     "raises-exception"
    ]
   },
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "('Aftertaste', 'Mouthfeel')",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "File \u001b[0;32m/opt/hostedtoolcache/Python/3.9.16/x64/lib/python3.9/site-packages/pandas/core/indexes/base.py:3803\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   3802\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3803\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3804\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
      "File \u001b[0;32m/opt/hostedtoolcache/Python/3.9.16/x64/lib/python3.9/site-packages/pandas/_libs/index.pyx:138\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32m/opt/hostedtoolcache/Python/3.9.16/x64/lib/python3.9/site-packages/pandas/_libs/index.pyx:165\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:5745\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:5753\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: ('Aftertaste', 'Mouthfeel')",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[9], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mrobusta_df\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mAftertaste\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mMouthfeel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\n",
      "File \u001b[0;32m/opt/hostedtoolcache/Python/3.9.16/x64/lib/python3.9/site-packages/pandas/core/frame.py:3805\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3803\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m   3804\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 3805\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3806\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m   3807\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m [indexer]\n",
      "File \u001b[0;32m/opt/hostedtoolcache/Python/3.9.16/x64/lib/python3.9/site-packages/pandas/core/indexes/base.py:3805\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   3803\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine\u001b[38;5;241m.\u001b[39mget_loc(casted_key)\n\u001b[1;32m   3804\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[0;32m-> 3805\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m   3806\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m   3807\u001b[0m     \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m   3808\u001b[0m     \u001b[38;5;66;03m#  InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m   3809\u001b[0m     \u001b[38;5;66;03m#  the TypeError.\u001b[39;00m\n\u001b[1;32m   3810\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n",
      "\u001b[0;31mKeyError\u001b[0m: ('Aftertaste', 'Mouthfeel')"
     ]
    }
   ],
   "source": [
    "robusta_df['Aftertaste','Mouthfeel']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cee70ac4",
   "metadata": {},
   "source": [
    "It tries to look for a [multiindex](https://pandas.pydata.org/docs/user_guide/advanced.html#hierarchical-indexing-multiindex), but we do not have one so it fails.  THe second square brackets, makes it a list of names to use and  pandas looks for them sequentially.\n",
    "\n",
    "## Comparing two datasets\n",
    "\n",
    "\n",
    "we're going to work with the arabica data today, because it's a little bigger\n",
    "and more interesting for plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a1c658cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "arabica_data_url = 'https://raw.githubusercontent.com/jldbc/coffee-quality-database/master/data/arabica_data_cleaned.csv'\n",
    "arabica_df = pd.read_csv(arabica_data_url,index_col=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad258e38",
   "metadata": {},
   "source": [
    "It is mostly the same columns as the robusta data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7d7c797d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Species', 'Owner', 'Country.of.Origin', 'Farm.Name', 'Lot.Number',\n",
       "       'Mill', 'ICO.Number', 'Company', 'Altitude', 'Region', 'Producer',\n",
       "       'Number.of.Bags', 'Bag.Weight', 'In.Country.Partner', 'Harvest.Year',\n",
       "       'Grading.Date', 'Owner.1', 'Variety', 'Processing.Method', 'Aroma',\n",
       "       'Flavor', 'Aftertaste', 'Acidity', 'Body', 'Balance', 'Uniformity',\n",
       "       'Clean.Cup', 'Sweetness', 'Cupper.Points', 'Total.Cup.Points',\n",
       "       'Moisture', 'Category.One.Defects', 'Quakers', 'Color',\n",
       "       'Category.Two.Defects', 'Expiration', 'Certification.Body',\n",
       "       'Certification.Address', 'Certification.Contact', 'unit_of_measurement',\n",
       "       'altitude_low_meters', 'altitude_high_meters', 'altitude_mean_meters'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arabica_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "60c2b39f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', 'Species', 'Owner', 'Country.of.Origin', 'Farm.Name',\n",
       "       'Lot.Number', 'Mill', 'ICO.Number', 'Company', 'Altitude', 'Region',\n",
       "       'Producer', 'Number.of.Bags', 'Bag.Weight', 'In.Country.Partner',\n",
       "       'Harvest.Year', 'Grading.Date', 'Owner.1', 'Variety',\n",
       "       'Processing.Method', 'Fragrance...Aroma', 'Flavor', 'Aftertaste',\n",
       "       'Salt...Acid', 'Bitter...Sweet', 'Mouthfeel', 'Uniform.Cup',\n",
       "       'Clean.Cup', 'Balance', 'Cupper.Points', 'Total.Cup.Points', 'Moisture',\n",
       "       'Category.One.Defects', 'Quakers', 'Color', 'Category.Two.Defects',\n",
       "       'Expiration', 'Certification.Body', 'Certification.Address',\n",
       "       'Certification.Contact', 'unit_of_measurement', 'altitude_low_meters',\n",
       "       'altitude_high_meters', 'altitude_mean_meters'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "robusta_df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d386f5a",
   "metadata": {},
   "source": [
    "but it has a lot more rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f1fb6b96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1283"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(arabica_df) - len(robusta_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d9455e23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1311, 43), (28, 44))"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arabica_df.shape, robusta_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "403f55f8",
   "metadata": {},
   "source": [
    "## Plotting in Python\n",
    "\n",
    "- [matplotlib](https://matplotlib.org/): low level plotting tools\n",
    "- [seaborn](https://seaborn.pydata.org/index.html): high level plotting with opinionated defaults\n",
    "- [ggplot](https://yhat.github.io/ggpy/): plotting based on the ggplot library in R.\n",
    "\n",
    "\n",
    "Pandas and seaborn use matplotlib under the hood.\n",
    "\n",
    "````{margin}\n",
    "```{admonition}  Think Ahead\n",
    "Learning ggplot is a way to earn level 3 for visualize\n",
    "```\n",
    "````\n",
    "Seaborn and ggplot both assume the data is set up as a DataFrame.\n",
    "Getting started with seaborn is the simplest, so we'll use that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "dec7c370",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8bdc3eda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f99bb81b340>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_28_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data = robusta_df, x='Aftertaste')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "58986097",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f99b020b370>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_29_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data = robusta_df, x='Mouthfeel')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa89fce9",
   "metadata": {},
   "source": [
    "to plot these together with seaborn we have to transform the DataFrame, so we will see that next year.\n",
    "\n",
    "### how are flavor and balance related?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "eddb0e63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Flavor', ylabel='Balance'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cp8sf3yZHXfB0R1Vd5OmP0opa3XnpEBUfqdCs5/fotrV7NeXJt/XGgaNaPX2ski3flh77yoRPVDv1+NR8/2v+VVEX+T2+qdNta/eq6LndKj5Socen5qva2eC/x7Rn/qn/eOodXbZ8m/98ssXs/3wtcdQ3Bv29fGK14WBrxPSJyp///GetXbtW69at0/Dhw7Vv3z7dcccd6t+/v6ZPnx5y/V133aX58+f7f3c4HIQVAOjh+vdK0oqp+Sqrdqk+TNlvoF7JCXrr5xO054sKFT23W7Uut9KaleQ2/725vrbEsNMrTQtzvXrxpxfoXxXBZcJ/vXWcfrvp26mftpRI+17z0FUj9Nv/Dq0sCpxOSk0M7c8SyJYYH/T36owNBztaTIPKnXfe6X+qIkkjR47UF198oSVLloQNKlarVVarNeQ4AKBn822gV1peE1L265suGTcoU9X1jUpLjNf4szP1159dKI/JpOr6Bv19bqHSrPGqaXCrqq5RL91yvqwJ8TKZTP7XHHPU66/v/kvxcaagaZzmTdPizXHKSLYoLTFe+Tm9dNF3spTQbDqpLSXSUlMYcbo9Ie31A88vvHyIaurdWveT8/X2p+X+5nQ+hXmZykixBP29uoOYBpXa2lrFxQWnSrPZLI8n8qM7AADCqaxzadEVw7V44/vaHrT5X3BztkibEj7w2vt6ZvrYsJUzi68eoc9O1ERsmvavilr99IV3/a956OqRqqypDxpntI6yc9cXh3y2qFNSJ6eLfO/7+NT8oI0MH7lmpPrYElv1dzSSmAaVyZMn6+GHH9bAgQM1fPhwFRcX67HHHlNRUVEshwUA6Kas8fG68ZmdWjZllBZcPkQJcXF6+G8fhDRnW/k/JWErY7ySnpg2usXKmUWvHNSDV47QotdCq4J8v997xbCg19zzSmi1TWBH2aKCXNmSEpRijdffD3ztDxfNResaGzhdtL2kXCaTSX+9dZwkKSPF0i1DihTjoLJixQotWrRIt912m44fP67+/fvrlltu0b333hvLYQEAYshe61JZtUuO+gbZkhKUlRJ9miLwNY9PzfdPfWy4dZzebTZNM7B3siSp+EhlSCDYUVIeMk0TaHtJuVyeljf221FSLrcn9DXVrtApmVqXWys3l6ggL1OLrxohj9er4iMVYUNKQV6mEsxxLVbshJsu2naoTAnmOJ2dndrSn61biGlQSUtL0/Lly7V8+fJYDgMAYBBfVdY1tcQP+DKeMDhLS6eMUv9eSa1+jW/qo/pkcGlpmibc04vK2shTLM2rhJoL1zStsrZBNz79z7BTMouvHil7bb1cjd+2xQ83HfRNjVNLp4zSwg37g8JKxOkiAzZwayv2+gEAGIJ/355mTwy2HirTwg37tWJqfsiTlZZes72kXCaZ9MBVw7V8U+RKmeb9TKJVzkRripaeHHred0/fuP566zh9WVmn4tJKPbTxfd07ebjqXG7NeG63fzrI2egJrhy6bVxIxU5iglkbI0wXGbGBW1sRVAAAhhBu3x6frYfK9GVlncpqXEFTQZFes62kTA1uT8QKnaKTTzB8CvIyddzhDKnICWy0ZjJJ4/OyQjZC9L3eYg4uEik8ec/AcUkK6pD7n5e6ZTHHKX9g+IZ1BXmZsp68b2DFjr3Wpf2loVNYknEbuLUVQQUAYAjN9+1p7vPyWt22dm/QVFC01zjqIk/9NAbsn+ObQlmwYb+WThklqenJS/PKId/vXnmDyqADp2h8CvMyde/k4brx6Z0RP2tVfYMqahuiTP24lHtG8OfzNbxrPh1k5AZubUVQAQAYQvN9e5rzVbUETgVFe01WqjXi1M/iq0boz7dcqKr6Bv8US/OKnP69kvRIQOVQ4Plbv58nt9erhkZP0BTNn2+5QEkWs447nLrx6Z0qq3YFf9ZmFTy2pARV1Tfq9oD3DZn6OVnB01x3a+DWVgQVAIAhNN+3J1Dzqpath8pUVu2K+hqnO3KFjqvRo6r6Bq3ZcTjo6UhgRc7PJ34npNGa7/zKzSV6dvoY/zSOb+pn66EyFR+paLGhW+D0kG9ap7i0ssWpn8BmbeF0pwZubUVQAQB0mUilxy1NYwRWteRkJOmJaaMVb45TWbVTDW6PHvn3kXrsHx/rr8VfSWoKPCtvzJctySJHlAqeKmejUq3xWnTFMHm8Xh1zOFXrcisxwaxj9jr1TU/SiWpnxHv49hcKnPoZ+W/puvJ7/bX49ff9ISdwXCeqnNp4e6GqnQ1yNXj1WVlNi03gunOzto5AUAEAdInWlB4HTmNU1Lpkr/t2SiYzxaIXZp2ne145GPJF/vA1IzX3ksGqrHMpPdniv+b12wsijslR16Db1xf716AE3nf84Cw9eNXwsAtVAw3ISNKz08f4x7nh1nH6j6d2Ktli1j2ThuqXlw9Ro7tph+VwY7938nAds9cHTSndM2mYquobZUuM79bN2jpCTHdPBgD0DNFKj+21367hSE+26OzsVOX0TvYvYK11ufXEtNEhX/RSU8nv3S8fkCXBrGxbUtA1xx1OFeZlhh2TbzqpqDA3JKRITQ3TFr1yUCkWc8R7/OODY5r1/B6t3Fyi0QN7KSmh6au11uXWr14+qGVvfKSsFGuLY3/w9ffVt1ei/zX7SyvVPz1R5+X21pB+th4dUiSeqAAAukC00uOyalfIGosaZ6N+Ov5szbkkTynWeMXHxYUtNd7/r0qZTJK9rkHV9Y2aVThI+QMztHr7YS3YsF/rfnKBHnz9/bAVOnPXF2vF1Hyt3n446L4plng1ejwymUw6UeXSwsuH6sC/7Fr8tw/8T1jGD87SvVcMa5q2mTFWx+x1GpPbW3UNbv1u2uigMuhqlztit9tGd1P10elUrdNRCCoAgE4XrYw4XAfVGmeD+vZK1AOvN+2789ItF4QtNR6fl6XbLj5bU5582x8ifOXHCzfs19HKes25JE8LLh+i6nq3bInxeuP9o/4Kn0aPN2z5cchUUF6mXrmtQJ9/U6N+6Yk68C+7rnpix7fBJS9L/Xolydno8W8O6BtHa7rZbpp/0WlVrdNRCCoAgE6Xao38dZMS5nyvJIsWvnzAHxYyWyg13lZSJo+8QV1mfdcsmzJKv9/2adBr/j5vfFDQ6ZeeqGVvfhTUrTbsVFBJuR7Y+L6KCnK19I2PWhzHgsuG+I/5rrln0jBFkpaY0O335OksBBUAQKezmONCur36NC/X/aqyTva6BjnqGnTPpGFqcHs0e+1e1TdELjX2dZn1dZHNz+mltMQE3fOjoUqymFXX4JGjrkFxkv7yswtU63QrI9WiepdHPx1/tooKcmUymZScYNbogRn+6aNalzvknoHTS4GLbXeUlMtijtP6n1ygtMR4ebxe2WsalBgfp8K8zKDpJ5/CvEylWCK37e/JCCoAgE5XWeeK2HXVXueSlKIvymv0q4CnKFLTF/kLs87TF2W1Ed/D2ehpsYts6DROlmZffLau/31Tx9hw1wROHy2dMqrVGxseLq/RrX/c6x/7oiuG65Y/vKsVN47W4o3Ba2V8VT+Ok58foUxer9cb/TJjcjgcSk9Pl91ul81mi/VwAAAt+PR4tSav3O5/KhHYdXX19sN6fU6hkixm3fmX98I+NSnMy9Tiq0bo4ke3tPgevhLhwEZrcy7Ji9h4LX9ghiRFvKaoIFerw0wFBd4jMMAENoDzjd3Xmn/ZlFHqa0tUjavR37l2wYb9+tNPL+xRUz9t+f7miQoA9ACRGq11xX2zUi0ac2bwF7pvOuWZm8bIXueSyx0fEgayUi1aNmWUsm1Wnahy6m9zC3XUXq8FG/YHtaX3lRrn5/QKquBJscSHTOP4BE4XhesG67tm4eVDWjXlFDiOQNtLyrXg8iEqq3b5A8xffnahJq/YIen02TywsxBUAOA015pGa5193+ZdZ5tP0UjS76aNDnpNVqpFa2++QA9ufD9kKmjtzRdo2jNNe+iMH5yl276fp1nP79Z/XX9OxE0Im0/TuNweRZtXqK6P3PCteWfaueuLo97D1+2WcuToCCoAcBqL1mhtxdT8dn1Jtue+gV1nPV6vHnw9OID4Nh30WTZlVEhIkZqeUCze+L7W/eQCOeoa9NmJau36vFwrpuZrYGay7n8t9DWBFT2BAeaMVKvsUUqHeyVH3vjwzMxk/X3eeP39wNchQcjHlhT8dXtm72TKkVuJzrQAcBprTaO1rryvr+tsnMkUstFfcWmlCgI6wGbbrBGbpDkb3bLXNeiXGw7ov946pFnP75G9tiHiNE1+Ti//7wV5mbKcXCdTEKHzbLLFHPF8UrxZX1fWad+RirAhpfDk+wS+JsUSr7OzUwkprUBQAYDTWHsarXXFfcO9fvX2w5pZkOsPBdGmXKrr3f5pF59oGwgmW+K1esZYPXLNCN1cOEhf2+v979u8Tb5vKqe8ql73TR6u8S2c/6y8Rgs27NeiK4aH3MNX1fNFeVPF0vi8LP1k/KCTVU5oDaZ+AOA0ZkuMPG2RFuV8Z9033OsDN+W7e9IwmaKMIT05QamJwf1HrPGR+5HUuho16/k9Gp+XqZmFuRqQkajfXPs9xZtMmlmQq6LCQUq2mFXjbPRvMvinWy7Q1U/s0KJJw7Tg8qGqcTaqOuD8yhtHq6zapWnP7NSyKaP0q0nDZK9tUGpi032OVtarr82qZ6eP0XFHvfr3SlJCXLRPBx+CCgCcxrJSLZowOEtbw0zTnEq1yanet6XX17rcKj5SIUm66pz+EZukJZhN+vuBY0GN5Lxeb4uvCazI2VZSLq+kmQW5/nb3vmsCy40L8zJ13OFUrcutu14+4C819lXvFOZlytflo6zapdU7DoeUK4d7za//43sR/z74Fn1UAOA091Vlnb/axsdXbdLvFKp+vq6s0/9+ckLZaVb/BoHHHPW6+DtnqG8L9w0sZ06xxOvdIxVavPHbjf4mDjlDCy4fKmejR3Uut9IS41V8pEKL//ah/xrfdIpXXnk9UprFLJfHq/pGj6rqGpSenKC9RyqD7htYkRO4jmT1jLEqem63/74zAqp2Fk0aqvyBGfq8vFbW+Dh5vF6ZTSYlWsyqdbl11F6nfulJMkma8dzuFt+j+ftI0pvzxmtIv577vUUfFQCAX2C1TVV9g9ISEzqk2sQr6e/7v9a2kuAAdNF3zgh7fbhyZt9Gf4fLa5QYb9bA3kla9OrBoCci4/OytPH2Qp2ocirZ2tQk7cand2rl1NG699WDWnXTGN3z6sGQDQT/NrdQJxxOVQVM0zQPECkWs3+n42RLnDKSLXph5lj1TrXqvlcP6q6XD/qv9QWZoud2q9bl9k8fpVji9dqcAv3jg2MtVv3UNwQfc9Q3tu6PDIIKAPQE6ckdWwbrL08uaV15ckvlzL6N/vIHZig/p1dI4Gi6pkyLXj0YMqViS0rQEz8erbtfORB2A8FFrxzUg1eO0HWrdrb4OZKtZl2/Knjq5/4rh2tRmHFsPzld5Ctx3lZSLo+kxVeO0OHymhabxkmhpde2RL5+W4uqHwBAm7W2PNle69Knx6v1ZWVdyPXJFrPmXJKnooJcTRh8hvr3SmpTabE1Pk6Nbm/kEma3R+MHZ4U9X5CXqaSE4MW3O0rK5WqMvPlh4Dh2lJSrrtGtXskWPXLNCCWH2VzQtzbG93nX3ny+alyN+vREtey1VP9EQ1ABALRZa8qTv6qs05z1xfrBY1v0xTfBGwr6OtMWH6nQrOf36Lrfv6PDZTUR79m8A2zJiWo5ojRr+7y8RtPHnRW2bPi+ycNVURMaFBx1kadlmpdEH/mmVlOefFtvHDiqZ6ePCQorvoW0L+464v+80575p6Y8+Y5+8OgW3b6+WF9V1kV8v56OZ08AgDaLVp6cYo0Pmuo5I9UadL6oMDdkt+Lm0yPNDchI8m88OHd9sVZMzZctKfI4LOY43X6y5PnW7+fJ7fWqodGj4tJKLX3jQ939o2Ehr2le8txc83H6PlvTNJhXf7u9UPa6prVASRazquob9MdZ5+vhv30Q8qTmVDsE9wQEFQBAm2WlWvT/Dc3Wd/vZ/LshJyaYtfdIhT7+2iGLOS5oqscSH6dLhpyhYf3TW9wssLi0MuiawHt+9JVDbo9XJlNT/5ELBvVWcWmlBmWlRC1HrnW5tXJziVZuLgnZ2fiXlwY/HRk/OEspCfEaPzgr7NRW800Hfd1tfbaVlKvR49U5J3dlbpKkT49Xh3Ti9fFNlRFUwiOoAADaLD3ZokVXDNNdLx8I6RnyyDUjQzqvHq9yasFlQ/Xgxvdb3CzwxV1H/JsQNr/noiuG+zchLMzL1OKrR+imZ3fp/DN766GrR+qeVw4EhZWWNghsPm0TuM9P0/sM0/Q1u3TflcPl9XqD7tm8fNn3Hl/b64PuWeMMnTrqrA7BPQFBBQDQZvZal+5+JXxlzD2vHNTiq0YEHc9Os4bdYDBws0BJLW5C+ODG93XDeQO1cnOJtp+s6Ln/yuHqm5GoZW9+qJkFuVpw+RDVuTyqqm9osRy5+bRNenKCfjdttKwn9/xZ+saHuir/3/wdcm/9fp4s8XGqqm+U1+tVssWsp/7Puf7pI98UVKBwXXk7q0NwT0BQAQCEFdiczZaUoKyUb0uco1X9uNyeoM6z0SppigqagkrzEt9ki1lFhbn+6aJzB2b4G68lW+PV6Pbqu31tOviVXSOUrgRznJKaVd747nHhoEy5PV6tnjFWe49U6IOv7LKa44I600rStPPPDJou+tvcQl371Dv+84HTR82nglrqyttZHYJ7AoIKACBEuOZsEwZnaemUUerfKynqVEaNs1FLp4zyd8SNtktz8ykZ6dvKoDU7DodMBc0oyNWMNbtONl7L0m0Xn61Zz+8J6l77+NR8LdywX0unjAp7j0VXDFdFbegmhs3H0rwKyHe++VSQr9tvuLUm6cmWoL+HT6TXoAlBBQAQpKXmbIEVKqnWyF8fKdb4oI64De7QIBJoQEaSTM326QtXGSSFa7xWJo+8/t9915hk0p9vuVD3tdC87cGN74dMUUmh00PNq4AGZCRp9Yyx8p58svNC0XnKSLZE7fbbWR2CT3f0UQEABGlNMzeLOU4FzXqT+BTkZcpibvp6SU+26OzsVCUlmCNe/48Pjun/f/9Y0DX5Ob3a1Hgt8HepqVy4rsHdYrXNjpLykADVfCrHtylh87EWPbdbs57fo9U7DmtwdqrOzk5tVeDw/T3OGZjR6tf0dDxRAYAeqqU1KI76hqC1IYFlwqu3H1ZVfYNMJmlWYa7iJH8QSLaYtWjSUI0YkK5jVU41er3+e1bWuUKul5r28XngquE6UeVUWmK8rvxefy1+/X1tKymXs9ETcRzNp2jCTR/V1Df616T4yqAD/avi22ZrzadyfJsf3vj0zpNjbdrbZ8666FM96DjsngwAPVCkNSj1DW59VlYTMu3iK8cdlJUiSfqivFZf2+vUx5aoRo9XuZkpWrzx/aAg4runs8GtzwOuT7XGy5aUoOIjFXro5M7IyRaz1swYo89O1Cjblqg+NquOOpwtjiPeZNKMgB2Jm/dICTzW0s7Gb8wbr6r6RtmS4pVmjVe1s1H2ukalndyLp8zhVJWrUdb4OB2vcmrcoEzZ61xKsTJtcyrYPRkA0KJoa1B8i0/DlRKbJD163TmSpGe2f+a/Zs4leXrhnc9b7Ly6dMqooOvfmj9B978WXIpcVJirxzeX+I+9Nqcg4jhmnqwUkkKnbJofCyyD9q1jmTA4S/3TE5XeLzhs2GtdmrO+OOz014TBWXSR7WIEFQDoYaKtQXHUN4RdG5JsMeucgRmqqHGpytmon44fpAWXDZE5TpLX1OLuwVsPlclR16CPj1bp2eljlG2zqrKmQT8df7aKCnJlMplU3+DWwN7JkqTiI03dZONMpogbDhYVDpKkk1U/eZr1/LdPV8I1fAssg440bdOaNToEla5DUAGAHiZaaXG4TfmilQq7PZFXETjqG/1dZ3eUlAfdr/m0jq9TbVV95M0BUy1mPTt9jA58adeuz8v14k8vUJ3LrWpnY4sN39IS47Vp/kURp23oImssBBUA6GGidUm1JYZ+NUQrFV5w2ZCI90xPig/qOtvS/QLPR9scMDUpQdet2un/fUT/dGXbrLo+4FjoZ0vQ2dmpEe9LF1ljIagAQA8TrUtqRkro+fycXi1O7ewoKZer0ROyoWCKJV6NnqbKnar6Rt1cOEhFBbkym0zqnWqJeL+iglwddzhb3HCwMC9TjSdLi5MtZt0zaajSkxJUU+/Wup+cr7c/LQ+p8inMy1RGSvQpG7rIGgt9VACgh/F1SZ0wOCvouG/dRh9bYsj5cKW/gb6pdWnBZUNVfKRCs57fo/986T01eDxaveOwpj79T/3HU+9o5nO7tWbHYTV6vSEb+TXnbPRowYb9WnTFcBU267/StCnhSM1eu1fJFrNWzxirNw58rf946h3d8PRO3fj0P7XvSIUen5qv5JPt9H2bJfaxJZ7y34f1KV2L8mQA6KF8fVRa6pIaeD4xwazLfrutxXu9NqdAy978KKgKqPhIRdjFsAV5mVpw2RBduXJHi/d7c954VTsb5Wx0KycjWTUut6rqGpSWlKAUi1lfVtQqId6sM1KtuueVg9pWEvr0Y/zgLN39o6GSpIwUS6tCSqBofx+0H+XJAICo0pMjf/EGnrfXulqcDinIywzZdLA1U0UFeZlhg8yEwVnql94UKm5fX9ziFIyvHX24kCJJ2w6VyeP1yppgVmJ82ycQov190DWY+gEARNXSdEjhyTLgE9XBm/tFmyo6Ue3UzILckLb6gdMrrZmCiVah83l5rX7w6Bbdvr5YX1XWRbwWxsQTFQBAq4TbVC/JYlZVfYMam5UnN9/YrzmLOU63ry9WUWGuigpylZ6UEHZjv2gb+UWr0PGNI3BDRZ6SdC88UQEAtFrzTfVSLGbFx8XJHGfS+Lxvn3wUl1ZG3ISwuLSpqdvKzSV6/u3PI27sF2kjP1+FTqT38fE1a0P3QlABALTLV5V1mrO+WD94bIv+/Xdva3rBWf4KndXbD2tmQW7Yip37Jg/Xi7uOSDr1SpqWpod8nWlXbz8cdJxmbd0PVT8AgDYLtx+Ob6fjCwdlyhIfp0a3R7Uut79FvjU+TsWllfroK4fuvOy7io+L67BKGl+FTkWtS/a6BhWXVobdLXnT/IuiNnxD56PqBwDQqcLth+Obylm5uURvzBuvyyOUMy+4fEiHBgbf4lt7rStipRDN2rofpn4AAG0Wrdqmsjby+Rpn5H182otmbacfnqgAANosWrVNtH16OnO/nGiVQuheeKICAGizaNU2xx3OFqt+umIKJlKlELoXggoAoM2iVdss2LA/akO31rLXuvTp8WoVH6nQpyeqZa+lxLgnoeoHANBukaptfFVA+Tm9WmzoFs1XlXVasGF/0MLdCYOztHTKKPXvldQZHwldoC3f3wQVAMApi1Zt056OsOFKoE/1njCGtnx/M/UDADhlnVFtE64E2ocusz0HVT8AgA7R0dU20Uqg6TLbMxBUAAAdxtd4rSNEK4HuzBJnGAdBBQB6KN9CWEd9g2xJCcpKCQ4Z0c639pr28pVA02W2ZyOoAEAPFK2apjXVNp1dkeNb97Jww/6gsEKX2Z6Fqh8A6GGiVdP832u/p/986b2I1TaSuqwix/fUhi6zpw82JQQAtChaNU1FTeuqbZpfE9g35ZPj1eqdYumQqaCOXPeC7oegAgA9TLRqGkd95A0Dq+ob1PxRfLLFrMen5mvNjsNaubnEf5zmbDhV9FEBgB4mWjWNLTHy/4dNS0wIuUdRYa7W7DisHSXlQce3HirTwg37aXuPdiOoAEAPE2lDwQmDs5SREvl8Vqol5B75Ob1CQooPzdlwKmIeVL788kv9+Mc/VmZmppKSkjRy5Ejt2bMn1sMCgNNWtC6yfWyJUbvMNr+Hs9ET8T1pzob2iukalYqKChUUFOjiiy/WG2+8oTPOOEOHDh1SRkZGLIcFAKe9aF1kW9NlNvAaZ6M74vvRnA3tFdOgsmzZMuXk5GjNmjX+Y7m5uTEcEQD0HNGqaVpTbeO7xl7rojkbOkVMp35ee+01jRkzRtdee62ys7OVn5+vp59+usXrnU6nHA5H0A8AIPY6Y1NCQIpxw7fExERJ0vz583Xttddq9+7dmjdvnp566ilNnz495Pr7779fDzzwQMhxGr4BgDHQnA2t0ZaGbzENKhaLRWPGjNHbb7/tPzZ37lzt3r1b77zzTsj1TqdTTqfT/7vD4VBOTg5BBQCAbqQtQSWmUz/9+vXTsGHDgo4NHTpUR44cCXu91WqVzWYL+gEAAKevmAaVgoICffzxx0HHPvnkE5155pkxGhEAADCSmAaVn//859q5c6ceeeQRlZSUaN26dVq1apVmz54dy2EBAACDiGlQGTt2rF5++WWtX79eI0aM0OLFi7V8+XJNmzYtlsMCAAAGEdPFtKeqLYtxAACAMXSbxbQAAACREFQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhtTuo/OEPf1BBQYH69++vL774QpK0fPlyvfrqqx02OAAA0LO1K6g8+eSTmj9/vn70ox+psrJSbrdbktSrVy8tX768I8cHAAB6sHYFlRUrVujpp5/W3XffLbPZ7D8+ZswYHThwoMMGBwAAerZ2BZXDhw8rPz8/5LjValVNTc0pDwoAAEBqZ1DJzc3Vvn37Qo6/+eabGjp06KmOCQAAQJIU354XzZ8/X7Nnz1Z9fb28Xq927dql9evXa8mSJXrmmWc6eowAAKCHaldQufnmm5WUlKR77rlHtbW1uvHGG9W/f3/99re/1Q033NDRYwQAAD2Uyev1ek/lBrW1taqurlZ2dnZHjanVHA6H0tPTZbfbZbPZuvz9AQBA27Xl+7tdT1QOHz6sxsZGDR48WMnJyUpOTpYkHTp0SAkJCTrrrLPac1sAAIAg7VpMO2PGDL399tshx//5z39qxowZpzomAAAASe0MKsXFxSooKAg5fsEFF4StBgIAAGiPdgUVk8mkqqqqkON2u93fpRYAAOBUtSuoTJgwQUuWLAkKJW63W0uWLFFhYWGHDQ4AAPRs7VpMu2zZMk2YMEHf/e53NX78eEnStm3b5HA4tHnz5g4dIAAA6Lna9URl2LBh2r9/v6677jodP35cVVVVuummm/TRRx9pxIgRHT1GAADQQ51yH5VYoo8KAADdT6f3UZGkyspK7dq1S8ePH5fH4wk6d9NNN7X3tgAAAH7tCiqvv/66pk2bpurqatlsNplMJv85k8lEUAEAAB2iXWtUfvGLX6ioqEjV1dWqrKxURUWF/+ebb77p6DECAIAeql1B5csvv9TcuXP9rfMBAAA6Q7uCyqWXXqo9e/Z09FgAAACCtGuNyqRJk3TnnXfqgw8+0MiRI5WQkBB0/sorr+yQwQEAgJ6tXeXJcXEtP4gxmUxd1kaf8mQAALqfTi9Pbl6ODAAA0BnatUYFAACgK7S74VtNTY22bNmiI0eOyOVyBZ2bO3fuKQ8MAACgXUGluLhYP/rRj1RbW6uamhr17t1bZWVlSk5OVnZ2NkEFAAB0iHZN/fz85z/X5MmTVVFRoaSkJO3cuVNffPGFzj33XP3mN7/p6DECAIAeql1BZd++ffrFL36huLg4mc1mOZ1O5eTk6Ne//rV+9atfdfQYAQBAD9WuoJKQkOAvUc7OztaRI0ckSenp6SotLe240QEAgB6tXWtU8vPztXv3bg0ePFgXXXSR7r33XpWVlekPf/iDRowY0dFjBAAAPVS7nqg88sgj6tevnyTp4YcfVkZGhm699VadOHFCq1at6tABAgCAnqtdnWmNgs60AAB0P235/qbhGwAAMKxWr1HJz8+XyWRq1bV79+5t80CWLl2qu+66S/PmzdPy5cvb/HoAAHD6aXVQufrqqzttELt379bvf/97jRo1qtPeAwAAdD+tDir33Xdfpwygurpa06ZN09NPP62HHnoo4rVOp1NOp9P/u8Ph6JQxAQAAY4j5GpXZs2dr0qRJmjhxYtRrlyxZovT0dP9PTk5OF4wQAADESruCitvt1m9+8xudd9556tu3r3r37h3001ovvvii9u7dqyVLlrTq+rvuukt2u93/Q3M5AABOb+0KKg888IAee+wxXX/99bLb7Zo/f77+/d//XXFxcbr//vtbdY/S0lLNmzdPa9euVWJiYqteY7VaZbPZgn4AAMDpq119VM4++2w9/vjjmjRpktLS0rRv3z7/sZ07d2rdunVR7/HKK6/ommuukdls9h9zu90ymUyKi4uT0+kMOhcOfVQAAOh+2vL93a4W+kePHtXIkSMlSampqbLb7ZKkK664QosWLWrVPX7wgx/owIEDQcdmzpypIUOGaMGCBVFDCgAAOP21K6gMGDBAX3/9tQYOHKizzz5b//jHPzR69Gjt3r1bVqu1VfdIS0sL2RcoJSVFmZmZ7BcEAAAktXONyjXXXKNNmzZJkm6//XYtWrRIgwcP1k033aSioqIOHSAAAOi5OmSvn507d+rtt9/W4MGDNXny5I4YV6uwRgUAgO6n0/f6KS8v9//n0tJS/f3vf9fXX3+t9PT09twOAAAgrDYFlQMHDuiss85Sdna2hgwZon379mns2LH6r//6L61atUqXXHKJXnnllU4aKgAA6GnaFFR++ctfauTIkdq6dau+//3v64orrtCkSZNkt9tVUVGhW265RUuXLu2ssQIAgB6mTWtUsrKytHnzZo0aNUrV1dWy2WzavXu3zj33XEnSRx99pAsuuECVlZWdNd4grFEBAKD76bQ1Kt9884369u0rqal/SkpKijIyMvznMzIyVFVV1Y4hAwAAhGrzYlqTyRTxdwAAgI7S5oZvM2bM8Dd1q6+v189+9jOlpKRIkpxOZ8eODgAA9GhtCirTp08P+v3HP/5xyDU33XTTqY0IAADgpDYFlTVr1nTWOAAAAEK0q+EbAABAVyCoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAwyKoAAAAw4ppUFmyZInGjh2rtLQ0ZWdn6+qrr9bHH38cyyEBAAADiWlQ2bJli2bPnq2dO3fqrbfeUkNDg374wx+qpqYmlsMCAAAGYfJ6vd5YD8LnxIkTys7O1pYtWzRhwoSQ806nU06n0/+7w+FQTk6O7Ha7bDZbVw4VAAC0k8PhUHp6equ+vw21RsVut0uSevfuHfb8kiVLlJ6e7v/JycnpyuEBAIAuZpgnKh6PR1deeaUqKyu1ffv2sNfwRAUAgO6vLU9U4rtoTFHNnj1bBw8ebDGkSJLVapXVau3CUQEAgFgyRFCZM2eONm7cqK1bt2rAgAGxHg4AADCImAYVr9er22+/XS+//LL+93//V7m5ubEcDgAAMJiYBpXZs2dr3bp1evXVV5WWlqajR49KktLT05WUlBTLoQEAAAOI6WJak8kU9viaNWs0Y8aMqK9vy2IcAABgDN1mMa1BCo4AAIBBGaqPCgAAQCCCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCyCCgAAMCxDBJUnnnhCZ511lhITE3X++edr165dMR2PvdalT49Xq/hIhT49US17rSum4wEAoKeKj/UA/vSnP2n+/Pl66qmndP7552v58uW69NJL9fHHHys7O7vLx/NVZZ0WbNivbYfK/McmDM7S0imj1L9XUpePBwCAnizmT1Qee+wx/eQnP9HMmTM1bNgwPfXUU0pOTtbq1au7fCz2WldISJGkrYfKtHDDfp6sAADQxWIaVFwul959911NnDjRfywuLk4TJ07UO++8E3K90+mUw+EI+ulIZdWukJDis/VQmcqqCSoAAHSlmAaVsrIyud1u9enTJ+h4nz59dPTo0ZDrlyxZovT0dP9PTk5Oh47HUd8Q8XxVlPMAAKBjxXzqpy3uuusu2e12/09paWmH3t+WmBDxfFqU8wAAoGPFdDFtVlaWzGazjh07FnT82LFj6tu3b8j1VqtVVqu188aTatGEwVnaGmb6Z8LgLGWlWjrtvQEAQKiYPlGxWCw699xztWnTJv8xj8ejTZs26cILL+zy8aQnW7R0yihNGJwVdHzC4CwtmzJK6ckEFQAAulLMy5Pnz5+v6dOna8yYMTrvvPO0fPly1dTUaObMmTEZT/9eSVoxNV9l1S5V1TcoLTFBWakWQgoAADEQ86By/fXX68SJE7r33nt19OhRnXPOOXrzzTdDFth2pfRkggkAAEZg8nq93lgPor0cDofS09Nlt9tls9liPRwAANAKbfn+7lZVPwAAoGchqAAAAMMiqAAAAMMiqAAAAMMiqAAAAMMiqAAAAMMiqAAAAMMiqAAAAMMiqAAAAMOKeQv9U+FrqutwOGI8EgAA0Fq+7+3WNMfv1kGlqqpKkpSTkxPjkQAAgLaqqqpSenp6xGu69V4/Ho9HX331ldLS0mQymTr03g6HQzk5OSotLWUfIQPh38WY+HcxJv5djIl/l6YnKVVVVerfv7/i4iKvQunWT1Ti4uI0YMCATn0Pm83WY/+LZGT8uxgT/y7GxL+LMfX0f5doT1J8WEwLAAAMi6ACAAAMi6DSAqvVqvvuu09WqzXWQ0EA/l2MiX8XY+LfxZj4d2mbbr2YFgAAnN54ogIAAAyLoAIAAAyLoAIAAAyLoAIAAAyLoBLGE088obPOOkuJiYk6//zztWvXrlgPqUdbsmSJxo4dq7S0NGVnZ+vqq6/Wxx9/HOthoZmlS5fKZDLpjjvuiPVQIOnLL7/Uj3/8Y2VmZiopKUkjR47Unj17Yj2sHs3tdmvRokXKzc1VUlKSzj77bC1evLhV+930ZASVZv70pz9p/vz5uu+++7R3715973vf06WXXqrjx4/Hemg91pYtWzR79mzt3LlTb731lhoaGvTDH/5QNTU1sR4aTtq9e7d+//vfa9SoUbEeCiRVVFSooKBACQkJeuONN/TBBx/o0UcfVUZGRqyH1qMtW7ZMTz75pFauXKkPP/xQy5Yt069//WutWLEi1kMzNMqTmzn//PM1duxYrVy5UlLTfkI5OTm6/fbbtXDhwhiPDpJ04sQJZWdna8uWLZowYUKsh9PjVVdXa/To0frd736nhx56SOecc46WL18e62H1aAsXLtSOHTu0bdu2WA8FAa644gr16dNHzz77rP/YlClTlJSUpD/+8Y8xHJmx8UQlgMvl0rvvvquJEyf6j8XFxWnixIl65513YjgyBLLb7ZKk3r17x3gkkKTZs2dr0qRJQf+7QWy99tprGjNmjK699lplZ2crPz9fTz/9dKyH1eONGzdOmzZt0ieffCJJeu+997R9+3ZdfvnlMR6ZsXXrTQk7WllZmdxut/r06RN0vE+fPvroo49iNCoE8ng8uuOOO1RQUKARI0bEejg93osvvqi9e/dq9+7dsR4KAnz22Wd68sknNX/+fP3qV7/S7t27NXfuXFksFk2fPj3Ww+uxFi5cKIfDoSFDhshsNsvtduvhhx/WtGnTYj00QyOooFuZPXu2Dh48qO3bt8d6KD1eaWmp5s2bp7feekuJiYmxHg4CeDwejRkzRo888ogkKT8/XwcPHtRTTz1FUImhP//5z1q7dq3WrVun4cOHa9++fbrjjjvUv39//l0iIKgEyMrKktls1rFjx4KOHzt2TH379o3RqOAzZ84cbdy4UVu3btWAAQNiPZwe791339Xx48c1evRo/zG3262tW7dq5cqVcjqdMpvNMRxhz9WvXz8NGzYs6NjQoUO1YcOGGI0IknTnnXdq4cKFuuGGGyRJI0eO1BdffKElS5YQVCJgjUoAi8Wic889V5s2bfIf83g82rRpky688MIYjqxn83q9mjNnjl5++WVt3rxZubm5sR4SJP3gBz/QgQMHtG/fPv/PmDFjNG3aNO3bt4+QEkMFBQUhJfyffPKJzjzzzBiNCJJUW1uruLjgr12z2SyPxxOjEXUPPFFpZv78+Zo+fbrGjBmj8847T8uXL1dNTY1mzpwZ66H1WLNnz9a6dev06quvKi0tTUePHpUkpaenKykpKcaj67nS0tJC1gmlpKQoMzOT9UMx9vOf/1zjxo3TI488ouuuu067du3SqlWrtGrVqlgPrUebPHmyHn74YQ0cOFDDhw9XcXGxHnvsMRUVFcV6aMbmRYgVK1Z4Bw4c6LVYLN7zzjvPu3PnzlgPqUeTFPZnzZo1sR4amrnooou88+bNi/Uw4PV6X3/9de+IESO8VqvVO2TIEO+qVatiPaQez+FweOfNm+cdOHCgNzEx0Tto0CDv3Xff7XU6nbEemqHRRwUAABgWa1QAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAAIBhEVQAdInvf//7uuOOO2I9DADdDEEFQIeZMWOGTCZTyE9JSUmshwagm2JTQgAd6rLLLtOaNWuCjp1xxhkxGk0wl8sli8US62EAaAOeqADoUFarVX379g36MZvNIdf94Q9/0JgxY5SWlqa+ffvqxhtv1PHjxyVJHo9HAwYM0JNPPhn0muLiYsXFxemLL76QJB05ckRXXXWVUlNTZbPZdN111+nYsWP+6++//36dc845euaZZ5Sbm6vExMRO/OQAOgNBBUBMNDQ0aPHixXrvvff0yiuv6PPPP9eMGTMkSXFxcZo6darWrVsX9Jq1a9eqoKBAZ555pjwej6666ip988032rJli9566y199tlnuv7664NeU1JSog0bNuivf/2r9u3b10WfDkBHYeoHQIfauHGjUlNT/b9ffvnleumll0KuKyoq8v/nQYMG6fHHH9fYsWNVXV2t1NRUTZs2TY8++qiOHDmigQMHyuPx6MUXX9Q999wjSdq0aZMOHDigw4cPKycnR5L0wgsvaPjw4dq9e7fGjh0rqWm654UXXjDM9BOAtuGJCoAOdfHFF2vfvn3+n8cffzzsde+++64mT56sgQMHKi0tTRdddJGkpukcSTrnnHM0dOhQ/1OVLVu26Pjx47r22mslSR9++KFycnL8IUWShg0bpl69eunDDz/0HzvzzDMJKUA3RlAB0KFSUlKUl5fn/+nXr1/INTU1Nbr00ktls9m0du1a7d69Wy+//LKkpicgPtOmTfMHlXXr1umyyy5TZmZmm8cDoPsiqADoch999JHKy8u1dOlSjR8/XkOGDPEvpA1044036uDBg3r33Xf1l7/8RdOmTfOfGzp0qEpLS1VaWuo/9sEHH6iyslLDhg3rks8BoPMRVAB0uYEDB8pisWjFihX67LPP9Nprr2nx4sUh15111lkaN26cZs2aJbfbrSuvvNJ/buLEiRo5cqSmTZumvXv3ateuXbrpppt00UUXacyYMV35cQB0IoIKgC53xhln6LnnntNLL72kYcOGaenSpfrNb34T9tpp06bpvffe0zXXXKOkpCT/cZPJpFdffVUZGRmaMGGCJk6cqEGDBulPf/pTV30MAF3A5PV6vbEeBAAAQDg8UQEAAIZFUAEAAIZFUAEAAIZFUAEAAIZFUAEAAIZFUAEAAIZFUAEAAIZFUAEAAIZFUAEAAIZFUAEAAIZFUAEAAIb1/wBzyBiIrfrbLQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_31_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=arabica_df,x='Flavor',y='Balance')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f155e04",
   "metadata": {},
   "source": [
    "But now we have more power to investigate more relationships in the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d2938e94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Flavor', ylabel='Balance'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_33_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=arabica_df,x='Flavor',y='Balance',hue='Color')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bcc8bc9",
   "metadata": {},
   "source": [
    "From this we can see that the color doesn't appear to be related to the flavor\n",
    "or balance scores, but that the flavor and balacne are related."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5b007adb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='Flavor', ylabel='Balance'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_35_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=arabica_df,x='Flavor',y='Balance',\n",
    "                hue='Country.of.Origin')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72362e48",
   "metadata": {},
   "source": [
    "We can also break this apart. `lmplot` is a higher level plotting function so\n",
    "it allows us to create grids of plots and by default also includes a regression\n",
    "line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fc1f7870",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f99afdfa0d0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CIETPZoPqdGOkWFR2U9vxGsfImTBW7oFT5EwYSygOAEAPWd+XGuplRoyQe8BBcsZPIBQHAAyu3bQalxQ8n2qQt+RPXW5/3mm79K0fBkF0NtP5tbxsn7Y1N46j0NxFUjQuVW+TGpPBNVIN0vbK4HGyWt4Tf+izawIAgK7x66uCv0NCkaA7TTbddodQRPIywX57Ad7dAwD2Gda38hYvCyq6SwplwmEZx8iEw1JxQjaVCbZ30FZ919brftaX/8EmyfPlzj1SZuzIoDX6zpog9I6EpeHFUkFUijbd8W4VBN7NHCPn0APlnjVXZvyYIEBv3i8SkYYVBee0wXrizceYyJ7HCwDAUBG0aP1A3po35X/4Qd+2Xu1jtqFBdscO2fr6tnM2AACDqZNW4znZtJRplDLpLrU/321r9qLhkqxUu0PW2uAr3SjbmJRNNwbX6oe25mbKLIVOvVgaVR4E4lWbpeotbV6zv3qJ/M1dv5kdAAD0nhMfLuu4sql6yc9IsrK+17JDNi25YTnx4YM2xu6glToAYJ9hN24O2qcnYh23hCuIyt+yQ3bjZpkJY3Pb2rVetzYIv40JAmvXkRk9Qs7hM+UvfyUIxSMhqa5Bqm9s/8G64wSB+LGz5YwaJsWi0klHyv9wk7L3PCZbVROE4lkvqBR3mirFPV8Kh6RISEbqdLwAAAwV3tq35S1ZLH/rlqDyyw3JGV0qd978IbVet02lZJN1khe8ubeeJ3/1SzLDRsidefAgjw4AsK/btdV46/ez1lqpbmfwoGh4l9qf77Y1eyQmG4oG63rX7QzC82w6eF/bvO/YKTLlU/vktVlrpfpa2YYaafQEOeOmy69YF1yztVHjFPrIZ2RKJ/bJdQEAwJ7ZTKNMvEShkrHKbNsgJ5qQbayRTSUVGr2f5IblN9QoVDpVobEHDPZwu4RgHACwz7DJhqY1xTuZ/kIhqSEV7NekufW6bUxLiVhwfFVNbm1yDSuWQo7spm2ym7YFYba10s7ajivNQiG5Z5yo0BEzpYJom9as7sQy6eyTg+vV1get2K0k2WC9ccfIFCfanGvX8QIAMFR4a99W9t67ZRtTUiIuuXHJy8qvrJC9927p/AsGPRy32ayUrJNNBx++23Ra/sur5a1cLtXWypSWyjloBq3UAQCDqrnVeOa+W6Sa7bLxopYK8vraoIWptPtW615dS/vzXGv2oo73Lx4ubd8k1W6XZIJlvmSCdb+loJr83ZdlOli3vDtsJiXVVslPN8p/ean8ZX8N2ri3Vjhc7nHnyDnuXDkFrDEOAMBA8NMNsg3VstmU/FRS7rBxylS8Ib+xZSkVr26bjBOSicRVeNwlMmbveN9MMA4AGJKsb2U3bpZNNsgkCmTGjen1utkmURCE2V5Wcjr4wKBpHW/TtNZ3u9brmaxsdV0QUofcIByvqZNKCqVYRNpe3X7tcCm4q765pbrvy91vfO4au3KnTZIWLggq1Cu2toTr4XAQije3Ze9gvAAADBVeOq3Mg/dJNTVSPCG5oSBcdiKyJWHZ6mp5SxbL2X9qu9DZz2blv7xatmqHzPARcmYfKifU9q2r9X3Zio2yyTqZRKFM+bhuhdfW86T6etnG4OYyW18v78UX5L/0otTYcsOZ3bJF/huvyz14Vi++GwAA9J4zdY7C510VtETf+mEQdLshmbIpcmeeELRG9zKSE21/sJdp2/68dWv2jvZ3QpLjqulO7aZA3AQBfNFwKVmjzL03yz3lk9LMf5F54xnZqs0yw8dIB58os+W9IHxPlEhj95M2vZt7HFSaWylZI7+hVvbN5fKevV+q3tp2DLGEnKNOlzN7nlRVKfvuavklo4PqeW5YAwCgX/ippPyGGslLK7NlnRpff0yN654JOsnswqaSCk08TEXHf1rRKUcNwmh7ZkgH457n6dprr9Uf//hHbdq0SeXl5brkkkv0zW9+s12bHwBA/mjXutx15JSOkDv/mCA47iEzboyc0hHyK7fJFofat59rSMkpGyUzbkzwXHPr9XBI2rZTNpNtCb6zTXfKZ7LStp2dXFBSvEAqjAeBfG19m/N3xp02Sc7+E5taq/9Dtqo6WK98D+MFAGAoyCxdIu/xf0ipxuCJdFqq3ilbVCxTXNzU0jUuf+sW2YqNMuMntD12yRNSQ6tuKA/eJ3feKQrPnSepd+3Zg3at9bINwRritrpa3srl8l9eHdxw1prryj38CJmxLFcCABganKlzFN5vtmzFul2CZsm8/kznrdbra2XKWtqfd6k1u2OkwhFSsqZpnW8btDffURnsmErKu/uHkn4oyQTvf62ke34sRWJSOBLcVG49ybjB+dywNKJM7hELpExa3jP3Sls/aPsiQxE5h/+rnCNPkzZvUPahn0k7NknWl0IRmdHjFZq7SE4vq9UBAECL5kDcNtaocd0zanz9MWW3vtPhvqHSqYpNP0nRaf+icPnMvaZSvNmQDsZvuOEG/epXv9Lvfvc7zZw5Uy+88II+/elPq6SkRF/84hcHe3gAgH7QrnW5G2pqu7pN9p7HpIULehyOG8fInX+M7D2PydYkZQuiQTvybFZqSMlEI3LnH5OrTLfJBimVCT7Qtwre6HdXLBJUfdfWtzv/Hsc6sUw6e27w/ejCeAEAGGyZpUvkPfK39h1UrJVqqoPptLi4aTmQ+mBd746Odd3ghrCmINt75G+SJGfc+B63Z7eNjcH1fF/+1i3yly+T/8br7Zc+iUTkzD5UoRPnyikr78tvDwAAvWYcR2Z8+7lut63Wo3GF5i7KVVp3qTW7n5VqdkiyQfW47wUhd4esZJuScd+TGpNBGJ6qDx67rlQ8SnIcaeNaeRveaArbW3FcObNOlHPs2TKFw2Q3vKHs47+T0o1SvDg3Jlu5Xpn7blH4vKsIxwEA6AVrrWyqTn5jrbJb1qnhjX8o9fY/ZdP17fY10ULFDpyn2IxTFRpWrtDInhevDbYhHYw/99xzOuecc3TGGWdIkiZPnqw777xTK1asGOSRAQD6Q7vW5c13rTth2eKQbE1S3uJlcvaf2OMwuLlVeeYfz0ofbpG8pjfp40sVOvX4XOhufStbm5RS6eADeiOpgy7pHSqKS+mMlM4Ga40XJeSUjepRxXub1upbdkgNqaCCvofnAwCgv/jZbFDt3Rxse00fnjcH3JJUWyNbWChl0pLnyXvtNdm6pOxBM+Q98Y+2oXjrr6Zze2XjpMaUVFLS6u+E3bdnt+m0VFcn62Xlf/iBvGXPy76zrv0LiMflHn6EnMMOl4kVyMTj/fwdAwCg+4LlRNpWjBvH2W2r9Y4qrHe3vzPzeHl/+3VTlXY4+K/fWSieG1nbhw01QaDuhoJja3cEj9MN7Y40Bxwl94TzglbskmStsi88Gvy9MKy0Zc53XdniiFSzXdmldym832zaqgMA0E3NgbhXt12ptU+p4fV/KLvpzQ73DY09QAUzFii6/3EyoUiH++xthnQwftxxx+nWW2/V22+/renTp+vll1/WM888o5tuuqnTY1KplFKpll73NTU1AzFUAEAfyLUuT8TaLZlhjJEtiMrfskN242aZCT1va+qtfktaX9G2Lfr6Cnmr35I7bVJLK/fKrS372M7P104sKhUXSvWNUjqj0Oknyj1sRq/CfGf/iX2+5vpAYF4GgH2H//LqoAW66wYVYb4fBOLWtoTj1ko7tkuNQZt1f9lz8pc9F5ygOTz3vGB/xwm+jAnO2dAgVWyUios6/jthl/bsNpuVknXyUynZd9+Rt+w52Q8/bD/wkhK5Rx0tZ9ZsmXBYchyZWIEUi/Xjd2vgMScDwN7PX7eqVZCdkdxwm9binbVa7yw87mx/f+PbTXvYIJzuzhvi1jfEWdvUea2pDfuuu5btJ/eUT8mMmRw8dlwplpC/faNUtVlKFHcy5xfJbv1QtmJdh9XzewPmZQDAQLPWl22sU2bTGjW8/qga31os21jbbj8TLlD0gLkqmHHqXl0Z3pkhHYz/13/9l2pqanTggQfKdV15nqcf/OAHuvDCCzs95vrrr9d3v/vdARwlAKCv2GRD05rinUxPoZDUkAr266H0PY/Jf/7l9ht8X/7zLytVXStt2RFUrbtuzy5ibVOQH5OynkxhvNchtnFMr24GGCzMywCw77BVO4J/tKrqyq3b3bpdeVMoLseRZDquQLO2peK8ORy3NremeIea2rP7tTUytbXyk0n5b74uf/ky2W1b2+1uRo+Wc8xxcg48SMZxZSIRKRaTiUa7/+L3AszJALB389etClqfp+qleJHkFklepl1r8c5arXemo/1NfW1Q3Z3NdHJUF1k/eI+/q1BECoXlHneuzJjJMuGIVFAoRQpkjJH5cE1T8F/U8XndcFDhnqzu3fgGEfMyAGCgWN+Tn9yhxreeVMPrjyrzYQefjUsKjZqi2MyPKDbtBJlwwQCPcuAM6WD87rvv1p/+9Cf9+c9/1syZM7V69WpdffXVKi8v18UXX9zhMf/93/+ta665Jve4pqZGEyZMGKghAwB6wSQKJNcJPvR2wu13yGYl1wn26wEv7clf/mqrC7ba2HxD+xvvSuGQVJiQatrfMdclzYFAL8ebD5iXASD/BC1cN8om62QShTLl44IP1YePaNrBtsyFjtNSKd5aroJ8D+uUeF5Qed4cjstIjQ2y0VgQsHvZ4IP7UCioaLNWtqFRmWf+KX/Z81Iy2e6UZsIEuUcfK7Pf/jKhUK46PN9bsTInA8Dey/q+skvvCkLx4pGtlhOJ7rG1+K6t123pZOm1p2SrNgetyw8+UWbLe20qxm28qOnGteY3zd2oGN91zm/NcaXCEU03z6WlklEyw0qDYLy1REnLmudOBzeseZngRrlESdfHNcQwLwMAusJaX9lNa+TXV8mJD5c7Zpq8zWtzj0NjD5AxHb+Xtdm0MlvXqeHlh9T4xhPy66va7xSKKDb1BMVmLFB4zLR+fjVDw5AOxr/61a/qv/7rv7Ro0SJJ0qxZs7RhwwZdf/31nQbj0WhU0Ty9wx8A8p0ZN0ZO6Qj5ldtki0NtWqZZa6WGlJyyUTLjxvTo/P7S5S2t0TsIxXMyWamqd3ee98V48wHzMgDkF2/t2/KWLJa/dUuuetsZXSp33nw5sw+VHrxPqq9vqfbuzO4+NO9o3+bzZTPSjh2d72uMvDv/2OH5Tfm4YJzjJgRV4QWx9h/E5zHmZADYe9mKdUH79Hhny4l03Fq8Xev1TFpKN7a9Me2eH0uRmBSO5FqzOzOPb331vnkRbkgaUSYZR0rulMr2kzPt8A5vTDPlU2VGj5etXC9bHGn/2UB9rUzZFJnyqX0ztkHAvAwA2JPU+hWqe+4OZbdvCOZx68v6nuS4QRjuhhUaOUmFx12i6JSjcsd5jXVKvb1UDa/8TekNL3Z4Q7o7fLxiMxYodsBcOdHEQL6sQTekg/H6+no5u/xx5LqufH8PVQUAgL2ScYzc+cfI3vOYbE1StiAaVIBls1JDSiYakTv/mB63JbfbdrZ60DdjbscYKZ2RGtO9Hi8AAEOJt/ZtZe+9W7YxJSXikhuXvKz8ygrZe+9W6PwL5BwyO6jU7g+uK0WjQfDemY4C93BYckOyDfVSKCwzcmTeV4cDAPJMsrrbrcXbtV5vzEqNrTqpGCf4oNx6wfPGkcJR2Y3vyNvwZtNNaX30xtk4QaW4tVJ9tRQrVPjkT3Q6HxvHUWjuomD8NduDCvbmCvL6WikaV2juIuZzAEDeSq1foepHrpNN18spKJbvheRXbwo6ujiuTMlYOW5Y2S3rVP3IdSo+7b/lloxV/ar71fjK3zquDndCiu53jGIzFyhcNqPdzXZdYoyM20Gn173IkA7GzzrrLP3gBz/QxIkTNXPmTK1atUo33XSTLr300sEeGgCgn7jTJkkLF8hbvEz+lh1SQ0pyHTllo+TOPybY3kNm1LC+G+iuHNPyYbznyykf3evxAgAwVFjfl7dkcRCKl5S0auEakS0Jy1ZXK7vkieDzczcUVJP3Nc/bfSi+u+MkqbFR/rPPyJ0xs2/HBQBAf+tma/FdW69Lkmp3tj1m1+qxhtrgq88YKRYPurWZkORnpaxkyvdTaO4iOVPn7PZoZ+ochc+7qlXFe53khmTKpnTpeAAA9lbW+qp77o4gFC8aLcnI1myRZCU3ItmsbHKHNGKilBgpr7pCO+//b9nG2g6rw534cBUccoZiB86XU9DNZUiMIxOKyoSjMqGoFIr2LFAfQoZ0MP6zn/1M3/rWt3T55Zdry5YtKi8v1+c//3l9+9vfHuyhAQD6kTttkpz9J8pu3CybbJBJFMiMG9Orymtrrcwxh0qPPtN3A21WUhhUzu2skRleotDCU+WMH0ulOAAgb9iKjUH79ES8kxaucdlNlcFyJGq1xnh3Wqb3B9cNxtK0VrlfuVG2YqPMeNbwBADsPbrbWnzX1uu2vtUH5cYMzPzsuHLPulzOofOkTe+2WcO8q5XeztQ5Cu83u80a6d05HgCAvVF20xplt2+QU1AczOOZRtlsqqmFupG1rmy6UV5NpWyqXvIyHfd4Ccck48q6EYVGT+1aKG5MUxAekwnHJDey1wfhuxrSwXhRUZFuvvlm3XzzzYM9FADAADOOkZkwttfnsU1t2G1DSv6Hm/tgZJ2oTcrECxQ6e67ciWX9dx0AAAaBTdY1rSkel/V9qaEht8a4CgqCADqdDr4kyXH2vM74QDAm+HLdpqVZGmRr+7IaDgCA/ted1uLW9+VveCOoFg9HguC8oa7lZAN1z5qflY0XyQmFpFbrnneXcZw266YDAJDv/PqqYI4PNXeCaboB3beyxgvaqcuXra9uf7DjyokVy8SKZNyQrJX85A7Vr7pP4XEHB2uTt2YcmVAkF4bnQ0X4ngzpYBwAgJ6wvpVSqSAQz3ry3tsob/EyqfUa433FGFqnAwDynkkUBiF4TbWUTLatNNtpWqrPcsuKDIFQfFeOI/m+bE/asQMAMMi60lrcX7cq2F65Plg3vCGp9kn4AHZzeWuFNOPYgbseAAB5wIkPD26Ay6alcExWRvJ9Sbt/n21iJXIKR7QJto2RnFihslUV8ratV6h0WlAN3tQePR8rwveEYBwAkDdsKi2l0rKpjGRtsB7q0y/KX/5q0x8PfaQwLhUlpOpaWqcDAPYJpnycFHKlnVXtNzYH4kPtzXRztbjUMkbHCZY/AQBgL7S71uL+ulVBRXmqXiooDNYL97KDOl6bbhzU6wMAsDcKjT1A7oiJymx6S0aSTdWqwxvbjCMTK5LNpqVsRiYxvIOQ20ihqJRKSk5IoREsK0YwDgDYK1nfym7cLL+6TiYckhlRkqtSs54v//W18p55SapJ9u2FHUcqiEp19bROBwDsM6zvS7u2IN91jdLBXk98V60r2H0/GG+sQE5h0eCOCwCAPmZ9X9mldwWheOFwqa5q0ENxSdJI3isDALA71vrKblojv75KTny4nGHj1Pja3+VXV0iNNZ33eSkolhMtkk0lZSJxWTcj42clJ9p0k7gTrBduHCnTKBOKyi0aPZAvbcgiGAcA7HWyb70rb/Ey2S1VwQfdjiMzskTOUbOkmqS8p1+Ukg3tD3Qdyetl5bi1UkOK1ukAgH2K//LqYP1wx2kJnIdaEN6R5kA8HJaMI6d8XFD9DgDAXijXKn3rh8Hao25YZvR4OTNPCJ7LpqVN7w72MFsMKx3sEQAAMGSl1q9Q3XN3KLt9g/x0g+Slg7nc7q5lupHCBTJyZDMphUZOUvyoRap/8f8pu3W93Ghhm6pxa638hhqFSqcqNPaA/n9RewGCcQDAXsH6vtSYlvfWu8o+/E8plQkqt11XymZlK7bKu+cfHX9IbxR0m+lpKF5YIBUXShlPqqtX6F+PlXv8YbROBwDsM2zVjuAfjtNSKe77fbtUSW+4bvDf5iC8ObhPJKRQWEqnZQpicufNl3GcwR0rAAA90KZVerxIcoskLyNbuV7e5g1SXbXkD4Eq8Vacmu2DPQQAAIak1PoVqvrb92UbdgbzdzbV8Y7GlYnGZcMFciT5mZRMKKzEnI8quv/xCo+bKWMcuQXDVP3IdfJrt8opKJZCESmblt9QIxOJq/C4S4LqcRCMAwCGLmutlEpLjWnZdEbW2qA9eioTrPMtSfWNUn2D5HcQiEciUqapuk3qfjDuNh0XL5BxHFnjSdGwnMnjCMUBAPsUM3xE8I/WleJDpWLccVoq2R1HKiqWkkkpmwnmftfKKR8nd958udOmD/ZoAQBow/p+h2uG77pPrlV68ciWSjAnKlsckbZXDLFQ3ATtW4ePGeyBAADQp3ZtfR4ae0C3AmdrfTW8+YRq/n6DbEO1Olw7XJKckBSKyS0uDf4uaGqN7sjIr92q9IevqPDEz+WuHZ1ylEpO/3quAl0NNZIbVqh0qgqPu0TRKUf1wavPDwTjAIChy/NkW68Rvnm77PZqKRoJAvFkQ8cfykdCQYW360pVNVImK4XcoIIsu7tWNLvw/SBcD4eCkL4hJadslMw43twDAPYtzuxDpQfvk+rrB3so7bVeRzwcluJxKZORGVum0KkLZIqKZMrHUSkOABhyOmuNHpq7SM7UObn9bMW6YJ94UZv2qErVS7VVUqqDpcT6i3GkaFxqTEqywQf3arpxzhhJRvI9qSAhc8jcgRsXAAD9rHXr8+Z5OzRyUpeCZz+bVt1Tt6r+pf8n21jb8U5uRE5BkayMbN12ObFCmVCk7dwvySkoVnb7BmU3rVG47KDc89EpRyky+YheBff7AoJxAMBew99ZKzWmgnC7w0A8LKUzUkEsCMUdRypOSDtrg4oxo5b2qs2a26x3xEqKhoNgvSElE43InX8M1eIAgH2OEwrJTJos++Ybgz2UjmWzwbxfEJdqamQKYgqdfgYV4gCAIWt3rdEz992i8HlXtYTjyeqmD+CLWk6Qqpet2iLZAV7WxPpSY53khpqWVfGa3n+7wTbPkxxH7txPyAnx0TMAID+k1q9Q9SPXyabrm1qVl0jZtLJb1qn6ketUcvrX24Xj1veU3fG+GlY9oPqXH5JtrOnk7EYmMUJOQYmM68pLJYPPrN1Qu1BcUtAmvaFGfn1V+zMZp01Yjvb46wQAMOTZhkZ5K1+Tv/K1IKTeVTwmxQukTCYIxiUp5AZ/OLhRabgJKs8zTdsi4aZw3W8bihsFd79LLduSDUGbmrJRcucfI3fapH58pQAADE1eOi27/t3BHkZb4bAUCrXM7+GIJMkpK6dtOgBgSNtja/Sa7couvUvh/WYHHU8SJZIbDsJxJxqco7YqeN/quEE4PdA8Tzr2bOnlJVJDUpInyUjxQrlzP6HQSQsHfkwAAPQxa31lKt9UzeJb5DfUyCkpaymaCsfkhKLya7eq7rk7FJl8hCTJT9Upve451b/yV6XXr+j8JjbjSMaVrCebbpAKR8s4Qbt0T0ams+OyackNy4kP74dXnP8IxgEAQ5atTSr75HL5L73ZPhA3kgoKpESsZV3RjCcVRNuvJR6NSKPCUlWNzPAShRaeKo0tlb90ubwnVwTbC+MyWS+4491xgvbpDY1SKq3QGSfJPWwGleIAgH2St/ZtZR68T2psHJwBFBRIRUVBJfjk/eRMmiTzLyfJ2bZVNlknxRPB3wEN9TKJQtqmAwCGvE5bo0syxsjGi2S3fihbsU5m/PRg3fHR42Ur18sWR2Sy6eBDcanlvwPOyp1wgJwzvyD7ylLZqs0yw8fIHDKXSnEAQF5obp2e2bJOtr5KkpFf9YFUOFJONCEpmLdNrEiZbevV8MYTym56Uw2v/0N+zaaOT2ocqaBEStcHN7wZEyxL4qVlvJSsicpmGmWihfLTjTKx4jZ/K1hr5TfUKFQ6VaGxBwzAdyH/8FcKAGDIsQ2Nyj76rLxlL7cPxMMhyXWC8DoWCf54yGSlVFoqiMo97lD5z6+WrUnKFkSDSrJsUyv0eIFCZ8+VO7EsONfEMnmRcBCKOyZYm7y1WFTKZGWatwMAsI/x1r6t7L13SzWdtXwbAL4vhcJSOKzQv/yL3AOa2sKNnzB4YwIAoDc6ao3emhuWvLpgP0nGcRSauyhovV6zXdYNS14H3dQG2s4tQQh+2CmDPRIAAPpU69bpxg3JGiMZRzbbKK+6UrZ4rJxIgazvyWZTsvVVqn7wmx13cTFOUDVuXElWaqyViQ+XbdgpWU9SsN1P10sNNTKRuBKHnaf6l+6TX7u1qXV7RMqm5TdtLzzuEtYO7yGCcQDA0OO68la/1TYUL4jKPfJgOYfNlN28Td7zq2W3VweBeMiVM6401+rcGz9G3uJl8rfskBpSkut02ArdJAqCkN3LSk64/TiyWcl1gv0AAOiE9X3Zio2yybo+q1juj3N29/zW9+UtWSzbmJJiBVJ6kCrSmm9yc0MyicLBGQMAAH2pg9bobXiZYA3vREnuKWfqHIXPu0rZpXfJVq4fwMHuxrDSwR4BAAB9zlpfdc/dEawnXjRayjbKt2pahjMk+Rn5tVtlo4lg3XAv0/GJnJCcwlGS48qv3hQUeskEYXg6Kad4rGxyu2w2FezvZRUqnarC4y5RdMpRCo89UHXP3aHs9g1SQ43khttsR88QjAMAhhwTCSs090hl/7pUisfkHn2InDkHyUSC8NpMKpeZWC7trJH1fTmFcZlxY3JV3e60SXL2nyi7cbNsskEmUdBme+4648bIKR0hv3KbbHGoXVsaNaTklI2SGTdmoF46AGAv4619W96SxfK3bglutHJDckaX9mqN6/44Z0/Obys2BvuEQ1Jtba+v22PFJVJtrZyycpnycYM3DgAA+ki71ui7vhetr5UpmyJTPrXNcc7UOQrvN1vZxX+S/8TvB3rYbRkjM2r84I4BAIB+kN20RtntG+QUBG3MfTcadDHLpiVjJVkp2yibbb/cmBMfpsjEw9W44SW5sYRMKCJrjRSKSl4qKM4yks2m5bqu7PAJ8qs3yS0Zq5IzvqFw2UG5SvDolKMUmXyEspvWyK+vkhMfrtDYA6gU7yWCcQDAkOQed2hQrb3/RJlw2+nKhEMyRXGZMSM6Pd44RmbC2N1ewzhG7vxjZO95rOPW69GI3PnH0EYdANCh5jbjtjElJeKSG5e8rPzKCtl775bOv6DbQXZ/nLOn57fJOinVGFSKex20gxsIkYhUWysTi8qdN5+1wwEAeaFda/R4UUsFeX2tFI0rNHdRh/OecZyhMR+GIjKNdYM9CgAA+pxfXxXMyaGmzi3WyoSCtb9l/Q6PcUdNUeKw8xWZfJQyG19VasOLwdzuhGSMI7dolLzqSsnPBK3VZeWnGySvVk5BsYpPuVqR8pntzmuMo3DZQf34avc9BOMAgCHJRCNyjztUdkerNU2NkSkskCmI9dl13GmTpIULutR6HQCAZm3ajJeUtFR6ORHZkrBsdbW8JYvl7D+1yx9e98c5e3X+eELKZII1vgeDG5LiiT6tlgcAYKho0xp964fBmuJuSKZsikJzF8mZOkdS8/In64L1xhMlsqWT5e3YNMijl2R92XjxYI8CAIA+58SHS25YNtMov6FGfkN1J4G4kVM4UvEjP6GCA09ue3woEgTqjhvsGU1IJWXy67YHAbusrJdVmNboA45gHACwVzCxiJSIy7h9f2d8V1uvAwDQLNdmPBFv0/5UkowxsvG4/K1bZCs2yoyfMGjn7NX5rQ1CcWu7fa1emXGw3JPmyslm+mV9dQAAhorm1uitg29T3nIDnL9uVavgPCOlU1K682q1fhGKBNezVjImqHLzsk0bB/hvBAAABkBo7AEKjZykzOa1sun69vOucWQSI1R8ytUKjz2wpbW5ceQUlCgybbzCL0xRdss62XAs9/7biSakcFx+TaXckjKVnP71Nq3TMTAIxgEAQ5vryBTGpXBYduNm+f0UXHel9ToAAM1ssq5pfe54xzuEQlJDfbBfD85prW2q1vYkx5XC4R6ds9MxWyvbUB8sHxIKyRTE25w/s22bvLvvHPhq8XBYoekHyJ2yH2E4AGCfYBxHZnz7rij+ulVBq/VUUgpHpExaStUP7ODcUNPfIk6u7WvucTgmU187sOMBAGAAGOOo8LhLVP3IdfKzKVmlgk6mkbisHDnRhIpO+oIiZTOaDnDkxIpkCopzIXfu+NqtcgqKgxvNsmnZhho5sWIVz7+qw9bp6H8E4wCAoctxZYaXyH/n/ZZW554ftDovHUGrcwDAoDGJwuDDYi8rOZH2O2SzQTvURGH3z9lQL9U3hdbN1VmhkFQQ7/Y5Ozx/TbVsfX2b0Ns6O6WCAsk4yvy/e6SqHT26Rq9ls8o+8Q/5r79G+3QAwD7L+r4yT94pJXcGf2vU1UgawJvVjAn+ZkgMkxqTUjYdVMsZI4WjUkHT3yKJkoEbEwAAAyg65SiVnP511T7zW2U2vR3cIOaGFR5ervic8xQZf4gkyUQL5cRLZJxQh8fXPXeHsts3SA01khtWiNbpg45gHAAwZBnHyFu7Qdl7HpNtTEuJWC6E8Cu3yd7zmLRwAeE4AGDAmfJxckaXyq+skC0Jt2lNbq2V6uvllJXLlI/r1jlNIiFbsTH44Nlxgv9KQfV4emewTzfOuev5FQpJO6vab/R9KZns0Xl7xZi2rdpDISleEHxf771bOv8CwnEAwD7FZlLy331F2rhOamzQgAbiblgqnRi0bd9RGbRtH1EWBOPNXWxCEal2h0zZFJnyqQM3NgAABlh0ylGKTD5CmYo3lN2yTk5BsdxRU2SMIxOOyUmMkHHDezw+u2mN/PoqOfHhCo09gNbpg4xgHAAwZFnfylu8LAjFSwpbQgcnLFsckq1Jylu8TM7+E1kPHAAwoIzjyJ03X/beu2Wrq2XjTa3Is1mpvl4mFpU7b37P24E3h8XNwXEfrPNtfV+qren1efpUR68rHJFKIrLV1fKWLJaz/1TaqgMA8pr1/aBNekOdrJeVv71SaqzTgK/hnSiWcRxZhaVwLBeCK14kRQqCwLx2hxSNKzR3EfMzACDvGeMoXHagnFhR8DgUkRMfJhMu6MbxB/XnENFN/PUCABiy7MbNQfv0RKxNJZ6k4HFBVP6WHbIbNw/SCAEA+zJ32nSFzr9ATlm5lE4HoXM6LaesXKEeVDrbio2yyaRUMkyKRILQ2POC/0YiUskw2WQyqCjvAf/l1VIq1aNj+11zhbzvS5lMMM/H4/K3bunx6wUAYKizXla2bqe0o1K2bqf8TEr+K/+U/+j/9clNcd3WXPXmZaRogULzL5QpmxJUjtdVSelGmbIpCp93lZypcwZ+fAAADBY3LKdotNySsi6H4hiaqBgHAAxZNtnQtKZ4J9NVKCQ1pIL9AAAYBO606XL2n9oUatfJJAqDduc9qKCyybpgHdGiYplEImif3ty2NBwOWrTX1gT7dee8vi+lUvI2ftj1g3Ztcd6XXDc4f3PoH2o1z/t+8Jqlpnm+vtuvFwCAoc5mUlJDrWyqMXhsrezbL8h75j6palP7A4wTrPHdnxxHpqCoaUmYWpmyKXKOPkPO0WfIVqyTktVSokSmnE4uAIB9i3FCCg0rH+xhoI8QjAMAhiyTKJBcJwgJnA7Wa8lmJdcJ9gMAYJAYx5EZP6H350kUBjeDedmgnXgk0naHTEZyQ8F+XWAzaamhUX4yKf+1V2RXLu985+Zq7YFkTMsa6s1BvDHBjQBS0zzf9dcLAMBQZq1tapeelM2mc8/7770u78k/S9srOjiq9TzZ1yMyanPSxHDZbEqqr23XKt2M714XHAAAgKGKYBwAMGSZcWPklI6QX7lNtjjUpp26tVZqSMkpGyUzbswgjhIAgL5hysfJGV0qv7JCtiTcft6rr5dTVi5TPq7Tc1jflxobZRsbZOvr5a9eJW/Z81LjHrqr7BqK90e1eHMQ7vvBf8Ph4DrZbEswHw63VMd34fUCADDUWS8rNdRJqfpgnm5+ftN78h6/Q3bzhnbHmMkzgxvctlUEnVT8bO8HkgvXm+Z4I8k2LWUSiQXPN7VKD81dRKt0AACQlwjGAQBDlnGM3PnHyN7zmGxNUrYgGrRVzWalhpRMNCJ3/jEyjtnzyQAAGOKM48idN1/23rtlq6tl4/GWea++XiYWlTtvfoftS206LTU2yKbSssk6eS+ulP/SS1JTi9auD6IfW6hbK8ViUmNj8O+CeNBWfWdVU3W4KxUWBZXxe3i9AAAMdTbdKDXW5dql557fsUneM/fJvr2y/UHhqOSGZHduk3P0mfJfeFRqTAbBdTYt1VVL1gtaq4fcYM5sZpw2N6CZqYfJPWy+7IwTZN54RrZqs8zwMe0e6+ATZba8R6t0AACwTyAYBwAMae60SdLCBfIWL5O/ZYfUkJJcR07ZKLnzjwm2AwCQJ9xp06XzL1B28ROymyqDtupuSGZsmULzTwm2NwmqwxtkGxol35PduVPeimXyX30lCJp3FSuQspmOtzXry2C8ueK99fkyGal8XFCklkxK6ZRUUND0Ib4TPHZDcsrK5c6b3+b1AgAw1Fnfb2qXXhdUirfeVlcl/7kH5b/6dPv1wsNRqXC4FIkG82HdTtl3Vyn00Svl/fNu2a0fBvvFi4JgXI6USirXDt04bc8VCkny5Rw6Lwi5Dzul7fV2fUyrdAAAsI8gGAcADHnutEly9p8ou3GzbLJBJlEgM24MleIAgPxllFtWtM2/JdlUKmiXnk5LsvK3bJa/7Hn5b73ZcagdiwWV2NaXqqqCymzPa79fczvzPa033twS3XWDddBLSoKwvaYmOC4WkykqkjLZILBv/rA+nZY8T+GPXSBn3HjZio2yybpgDfGxZdKmytxjUz6OajUAwF7DZtNSQzJol77LXGwbk/JXPCL/pSeCqu/W3JBUOCKoCHddyXFljJGNF8lu/VCmoEjhS6+XrViXq+jW2P1kX1mq7N9+HczZqZSUTbX8DeA4UjQuu/VD2Yp1rA8OAADQCsE4AGCvYBwjM2HsYA8DAIB+5a19W9l775ZtTEmJePCBuZeVrahQ5p67ZBecJmfiJFlrZT94X96y52XXv9v+RImEnP32l//OuiAUd92gGtvazkPv5udbb++ogtxxms4TtEM3jisbahW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      "text/plain": [
       "<Figure size 2000x4500 with 36 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_37_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(data=arabica_df,x='Flavor',y='Balance',\n",
    "                hue='Country.of.Origin',col='Country.of.Origin',\n",
    "          col_wrap=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6aa7910",
   "metadata": {},
   "source": [
    "If we were not interested in the regression line, we could turn that off for now, with `,fit_reg=False`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "77cf6772",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f99a5b57eb0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x4500 with 36 Axes>"
      ]
     },
     "metadata": {
      "filenames": {
       "image/png": "/home/runner/work/BrownFall22/BrownFall22/_build/jupyter_execute/notes/2022-09-21_39_1.png"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(data=arabica_df,x='Flavor',y='Balance',\n",
    "                hue='Country.of.Origin',col='Country.of.Origin',\n",
    "          col_wrap=4,fit_reg=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7a143c7c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5377982a",
   "metadata": {},
   "source": [
    "## Things you want to know more about\n",
    "\n",
    "\n",
    "### Things we will touch Friday\n",
    "\n",
    "- more parameters and capabilities for seaborn\n",
    "- how to analyze a graph\n",
    "\n",
    "### Things that you could study for level 3\n",
    "\n",
    "- The little details about the plot functions\n",
    "- More things that you can do with seaborn, like how to manipulate the scatterplots more\n",
    "- More ways to create unique plots and charts (we'll give you a bit more depth but all the way here will be a level 3 task)\n",
    "- One thing I want to learn based on what's learned so far is if we can compare graphs explicitly.\n",
    "\n",
    "\n",
    "### Things we will do later\n",
    "\n",
    "#### Plotting data from multiple datasets on the same graphs (considering they share the same data points)\n",
    "\n",
    "This will require being able to combine datasets into a single DataFrame, because a single plot funciton will require\n",
    "\n",
    "\n",
    "### Graphing lines of best fit onto graphs (but not just linear models, quadratic or other types as well)\n",
    "\n",
    "We will learn how to fit models in general when we get to regression, but ultimately quadratic and other polynomial plots will also be a level 3 exploration you can do. We will get you to the point in class of all the pieces, but you will have to swap in some alternative parametrs\n",
    "\n",
    "### How to remove outliers or other data.\n",
    "\n",
    "When we saw indexing we got really close to this, and we will do more when we clean data next week."
   ]
  }
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