Ch02-applied.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 02 Applied Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "8. This exercise relates to the College data set, which can be found in the file College.csv on the book website. It contains a number of variables for 777 different universities and colleges in the US."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use the pd.read_csv() function to read the data into Python. Call the loaded data college. Make sure that you have the directory set to the correct location for the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of                          Unnamed: 0 Private   Apps  Accept  Enroll  Top10perc  \\\n",
       "0      Abilene Christian University     Yes   1660    1232     721         23   \n",
       "1                Adelphi University     Yes   2186    1924     512         16   \n",
       "2                    Adrian College     Yes   1428    1097     336         22   \n",
       "3               Agnes Scott College     Yes    417     349     137         60   \n",
       "4         Alaska Pacific University     Yes    193     146      55         16   \n",
       "..                              ...     ...    ...     ...     ...        ...   \n",
       "772         Worcester State College      No   2197    1515     543          4   \n",
       "773               Xavier University     Yes   1959    1805     695         24   \n",
       "774  Xavier University of Louisiana     Yes   2097    1915     695         34   \n",
       "775                 Yale University     Yes  10705    2453    1317         95   \n",
       "776    York College of Pennsylvania     Yes   2989    1855     691         28   \n",
       "\n",
       "     Top25perc  F.Undergrad  P.Undergrad  Outstate  Room.Board  Books  \\\n",
       "0           52         2885          537      7440        3300    450   \n",
       "1           29         2683         1227     12280        6450    750   \n",
       "2           50         1036           99     11250        3750    400   \n",
       "3           89          510           63     12960        5450    450   \n",
       "4           44          249          869      7560        4120    800   \n",
       "..         ...          ...          ...       ...         ...    ...   \n",
       "772         26         3089         2029      6797        3900    500   \n",
       "773         47         2849         1107     11520        4960    600   \n",
       "774         61         2793          166      6900        4200    617   \n",
       "775         99         5217           83     19840        6510    630   \n",
       "776         63         2988         1726      4990        3560    500   \n",
       "\n",
       "     Personal  PhD  Terminal  S.F.Ratio  perc.alumni  Expend  Grad.Rate  \n",
       "0        2200   70        78       18.1           12    7041         60  \n",
       "1        1500   29        30       12.2           16   10527         56  \n",
       "2        1165   53        66       12.9           30    8735         54  \n",
       "3         875   92        97        7.7           37   19016         59  \n",
       "4        1500   76        72       11.9            2   10922         15  \n",
       "..        ...  ...       ...        ...          ...     ...        ...  \n",
       "772      1200   60        60       21.0           14    4469         40  \n",
       "773      1250   73        75       13.3           31    9189         83  \n",
       "774       781   67        75       14.4           20    8323         49  \n",
       "775      2115   96        96        5.8           49   40386         99  \n",
       "776      1250   75        75       18.1           28    4509         99  \n",
       "\n",
       "[777 rows x 19 columns]>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "data = pd.read_csv('datasets/College.csv')\n",
    "data.head"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Look at the data used in the notebook by creating and running a new cell with just the code college in it. You should notice that the first column is just the name of each university in a column named something like Unnamed: 0. We don’t really want pandas to treat this as data. However, it may be handy to have these names for later"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = pd.read_csv('datasets/College.csv', index_col=0)\n",
    "data3 = data.rename({'Unnamed: 0' : 'College'}, axis = 1)\n",
    "data3 = data3.set_index('College')\n",
    "data = data3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use the describe() method of to produce a numerical summary of the variables in the data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
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       "\n",
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       "        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>Apps</th>\n",
       "      <th>Accept</th>\n",
       "      <th>Enroll</th>\n",
       "      <th>Top10perc</th>\n",
       "      <th>Top25perc</th>\n",
       "      <th>F.Undergrad</th>\n",
       "      <th>P.Undergrad</th>\n",
       "      <th>Outstate</th>\n",
       "      <th>Room.Board</th>\n",
       "      <th>Books</th>\n",
       "      <th>Personal</th>\n",
       "      <th>PhD</th>\n",
       "      <th>Terminal</th>\n",
       "      <th>S.F.Ratio</th>\n",
       "      <th>perc.alumni</th>\n",
       "      <th>Expend</th>\n",
       "      <th>Grad.Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>777.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3001.638353</td>\n",
       "      <td>2018.804376</td>\n",
       "      <td>779.972973</td>\n",
       "      <td>27.558559</td>\n",
       "      <td>55.796654</td>\n",
       "      <td>3699.907336</td>\n",
       "      <td>855.298584</td>\n",
       "      <td>10440.669241</td>\n",
       "      <td>4357.526384</td>\n",
       "      <td>549.380952</td>\n",
       "      <td>1340.642214</td>\n",
       "      <td>72.660232</td>\n",
       "      <td>79.702703</td>\n",
       "      <td>14.089704</td>\n",
       "      <td>22.743887</td>\n",
       "      <td>9660.171171</td>\n",
       "      <td>65.46332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3870.201484</td>\n",
       "      <td>2451.113971</td>\n",
       "      <td>929.176190</td>\n",
       "      <td>17.640364</td>\n",
       "      <td>19.804778</td>\n",
       "      <td>4850.420531</td>\n",
       "      <td>1522.431887</td>\n",
       "      <td>4023.016484</td>\n",
       "      <td>1096.696416</td>\n",
       "      <td>165.105360</td>\n",
       "      <td>677.071454</td>\n",
       "      <td>16.328155</td>\n",
       "      <td>14.722359</td>\n",
       "      <td>3.958349</td>\n",
       "      <td>12.391801</td>\n",
       "      <td>5221.768440</td>\n",
       "      <td>17.17771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>81.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2340.000000</td>\n",
       "      <td>1780.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3186.000000</td>\n",
       "      <td>10.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>776.000000</td>\n",
       "      <td>604.000000</td>\n",
       "      <td>242.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>992.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>7320.000000</td>\n",
       "      <td>3597.000000</td>\n",
       "      <td>470.000000</td>\n",
       "      <td>850.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>11.500000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>6751.000000</td>\n",
       "      <td>53.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1558.000000</td>\n",
       "      <td>1110.000000</td>\n",
       "      <td>434.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>1707.000000</td>\n",
       "      <td>353.000000</td>\n",
       "      <td>9990.000000</td>\n",
       "      <td>4200.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>13.600000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>8377.000000</td>\n",
       "      <td>65.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3624.000000</td>\n",
       "      <td>2424.000000</td>\n",
       "      <td>902.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>4005.000000</td>\n",
       "      <td>967.000000</td>\n",
       "      <td>12925.000000</td>\n",
       "      <td>5050.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>1700.000000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>16.500000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>10830.000000</td>\n",
       "      <td>78.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>48094.000000</td>\n",
       "      <td>26330.000000</td>\n",
       "      <td>6392.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>31643.000000</td>\n",
       "      <td>21836.000000</td>\n",
       "      <td>21700.000000</td>\n",
       "      <td>8124.000000</td>\n",
       "      <td>2340.000000</td>\n",
       "      <td>6800.000000</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>39.800000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>56233.000000</td>\n",
       "      <td>118.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Apps        Accept       Enroll   Top10perc   Top25perc  \\\n",
       "count    777.000000    777.000000   777.000000  777.000000  777.000000   \n",
       "mean    3001.638353   2018.804376   779.972973   27.558559   55.796654   \n",
       "std     3870.201484   2451.113971   929.176190   17.640364   19.804778   \n",
       "min       81.000000     72.000000    35.000000    1.000000    9.000000   \n",
       "25%      776.000000    604.000000   242.000000   15.000000   41.000000   \n",
       "50%     1558.000000   1110.000000   434.000000   23.000000   54.000000   \n",
       "75%     3624.000000   2424.000000   902.000000   35.000000   69.000000   \n",
       "max    48094.000000  26330.000000  6392.000000   96.000000  100.000000   \n",
       "\n",
       "        F.Undergrad   P.Undergrad      Outstate   Room.Board        Books  \\\n",
       "count    777.000000    777.000000    777.000000   777.000000   777.000000   \n",
       "mean    3699.907336    855.298584  10440.669241  4357.526384   549.380952   \n",
       "std     4850.420531   1522.431887   4023.016484  1096.696416   165.105360   \n",
       "min      139.000000      1.000000   2340.000000  1780.000000    96.000000   \n",
       "25%      992.000000     95.000000   7320.000000  3597.000000   470.000000   \n",
       "50%     1707.000000    353.000000   9990.000000  4200.000000   500.000000   \n",
       "75%     4005.000000    967.000000  12925.000000  5050.000000   600.000000   \n",
       "max    31643.000000  21836.000000  21700.000000  8124.000000  2340.000000   \n",
       "\n",
       "          Personal         PhD    Terminal   S.F.Ratio  perc.alumni  \\\n",
       "count   777.000000  777.000000  777.000000  777.000000   777.000000   \n",
       "mean   1340.642214   72.660232   79.702703   14.089704    22.743887   \n",
       "std     677.071454   16.328155   14.722359    3.958349    12.391801   \n",
       "min     250.000000    8.000000   24.000000    2.500000     0.000000   \n",
       "25%     850.000000   62.000000   71.000000   11.500000    13.000000   \n",
       "50%    1200.000000   75.000000   82.000000   13.600000    21.000000   \n",
       "75%    1700.000000   85.000000   92.000000   16.500000    31.000000   \n",
       "max    6800.000000  103.000000  100.000000   39.800000    64.000000   \n",
       "\n",
       "             Expend  Grad.Rate  \n",
       "count    777.000000  777.00000  \n",
       "mean    9660.171171   65.46332  \n",
       "std     5221.768440   17.17771  \n",
       "min     3186.000000   10.00000  \n",
       "25%     6751.000000   53.00000  \n",
       "50%     8377.000000   65.00000  \n",
       "75%    10830.000000   78.00000  \n",
       "max    56233.000000  118.00000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use the pd.plotting.scatter_matrix() function to produce a scatterplot matrix of the first columns [Top10perc, Apps, Enroll].\n",
    "Recall that you can reference a list C of columns of a data frame A using A[C]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: xlabel='Top10perc', ylabel='Top10perc'>,\n",
       "        <Axes: xlabel='Apps', ylabel='Top10perc'>,\n",
       "        <Axes: xlabel='Enroll', ylabel='Top10perc'>],\n",
       "       [<Axes: xlabel='Top10perc', ylabel='Apps'>,\n",
       "        <Axes: xlabel='Apps', ylabel='Apps'>,\n",
       "        <Axes: xlabel='Enroll', ylabel='Apps'>],\n",
       "       [<Axes: xlabel='Top10perc', ylabel='Enroll'>,\n",
       "        <Axes: xlabel='Apps', ylabel='Enroll'>,\n",
       "        <Axes: xlabel='Enroll', ylabel='Enroll'>]], dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.plotting.scatter_matrix(data[['Top10perc', 'Apps', 'Enroll']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use the boxplot() method of college to produce side-by-side boxplots of Outstate versus Private"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Outstate'}, xlabel='Private'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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v15jtQdRaFEII8VCGroioRU2bNg3btm1DWVlZW3flgaZPn47NmzejsLAQZmZmD/31H6X3Sk5BQQFcXFwwa9YsLF68uK27Q2Q0eDA3EbWov/3tb3ByckKPHj1QVlaGnTt34p///Cf++te/tklIetTl5ubi559/xpIlS2BiYoI333yzrbtEZFQYlIioRalUKixZsgS5ubmorq5G7969sXz5cn7B/0b//Oc/8be//Q3du3dHXFwcnnjiibbuEpFR4a43IiIiIhm8PAARERGRDAYlIiIiIhkMSkTUZtLT0/HCCy/A0dERZmZm0Gq1mDhxItLS0n5zm4sWLap3Uc/G2r17N+bPn/+bXxv45SKWn3zySbPaIKL2g0GJiNrEihUr4Ovri9zcXCxevBh79+7F0qVLce3aNTzzzDMGNxRuiuYGpQULFvymZeswKBE9XnjWGxE9dN9//z1mz56NMWPGYPv27VAq/+9P0eTJkzFhwgS8+eabGDRoUJvfqoOIjBtHlIjooYuNjYVCocDq1asNQhIAKJVKrFq1CgqFAh9++CGAXy4Y2dCNZufPn29wI1eFQoHy8nJs2LABCoUCCoVCuo9bRUUFoqOj4erqCnNzc9jY2GDIkCHYvHmz9BqfffaZ1E7d49KlSwCAzz77DMOHD4e9vT2srKzg4eGBxYsXQ6/XS6/v7++PXbt24fLlywZt1KmqqsIHH3yAPn36QK1Wo0uXLnjllVdw8+bNZr+nRNQ6OKJERA9VTU0NDhw4gCFDhhjc+PXXnJ2d4enpif3796OmpqbRbaelpeHZZ59FQEAA3nvvPQBAp06dAABz5szBxo0b8cEHH2DQoEEoLy9HdnY2CgsLAQDvvfceysvLsW3bNoNjpBwdHQEAFy9eRFhYGFxdXWFmZoYffvgBCxcuxNmzZ/Hll18CAFatWoXp06fj4sWL2L59u0Hfamtr8fvf/x4pKSl4++23MXToUFy+fBnz5s2Dv78/jh8/DgsLi0avKxE9HAxKRPRQ3bp1CxUVFXB1db1vnaurK44ePSoFmcbw9vaGiYkJunTpAm9vb4N533//PYKCgvA///M/0rTnnntO+r1nz55wcHCQ2rnX8uXLpd9ra2sxbNgw2Nra4pVXXsGyZctgbW2Nfv36oXPnzlCr1fXa+Ne//oXExER88803CA0NlaYPGDAATz31FNavX4/XX3+90etKRA8Hd70RUbtUdy3cX++6ao6nn34ae/bswbvvvouDBw+isrKyScv/97//xbhx42BrawtTU1OoVCr84Q9/QE1NDX766acHLr9z50507twZY8eORXV1tfQYOHAgtFotDh48+BvXjIhaE4MSET1UdnZ2sLS0RE5Ozn3rLl26BEtLS9jY2LTI6/7v//4v3nnnHSQkJCAgIAA2NjYYP348zp8//8Blr1y5gmHDhuHatWv49NNPkZKSgmPHjknHNDUmdN24cQPFxcUwMzODSqUyeOTn5+PWrVvNXkciannc9UZED5WpqSkCAgKQmJiI3NzcBo9Tys3NRWZmJkaPHg1TU1OYm5tDp9PVq2tKuLCyssKCBQuwYMEC3LhxQxpdGjt2LM6ePXvfZRMSElBeXo74+Hi4uLhI07Oyshr9+nZ2drC1tUViYmKD8zt27Njotojo4eGIEhE9dDExMRBC4I033qh3sHZNTQ1ef/11CCEQExMDAOjevTsKCgpw48YNqa6qqgrfffddvbbVavUDR3gcHBwwbdo0vPTSSzh37hwqKiqkZYH6I0R1u//q5gO/7Bpcu3Zto18/JCQEhYWFqKmpwZAhQ+o93Nzc7ttnImobHFEioofO19cXn3zyCWbPno1nnnkGM2fORLdu3XDlyhV89tlnyMjIwCeffIKhQ4cCAF588UW8//77mDx5Mt566y3cvXsX//u//9vgGXEeHh44ePAgduzYAUdHR3Ts2BFubm7w8vJCSEgI+vfvD2tra5w5cwYbN26Ej48PLC0tpWUB4KOPPpJGs/r374/AwECYmZnhpZdewttvv427d+9i9erVKCoqavD14+PjsXr1anh6esLExARDhgzB5MmTERcXhzFjxuDNN9/E008/DZVKhdzcXBw4cAC///3vMWHChFZ814noNxFERG0kLS1NTJw4UTg4OAilUins7e1FaGioSE1NrVe7e/duMXDgQGFhYSF69OghVq5cKebNmyfu/TOWlZUlfH19haWlpQAg/Pz8hBBCvPvuu2LIkCHC2tpaqNVq0aNHD/E///M/4tatW9KyOp1O/PGPfxRdunQRCoVCABA5OTlCCCF27NghBgwYIMzNzcUTTzwh3nrrLbFnzx4BQBw4cEBq4/bt22LixImic+fOUht19Hq9WLp0qdROhw4dRJ8+fcSf/vQncf78+ZZ7Y4moxSiE+P+nlhARERGRAR6jRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQ06YKTsbGxiI+Px9mzZ2FhYYGhQ4fio48+kq4oq9fr8de//hW7d+/Gzz//DI1Gg5EjR+LDDz+Ek5OT1I6/vz8OHTpk0PaLL76ILVu2SM+LiooQGRmJb7/9FgAwbtw4rFixAp07d5Zqrly5ghkzZmD//v2wsLBAWFgYli5dCjMzs0atT21tLa5fv46OHTu22I03iYiIqH0TQuDOnTtwcnKCickDxoyactGl4OBgsW7dOpGdnS2ysrLEc889J7p16ybKysqEEEIUFxeLkSNHiq1bt4qzZ8+KtLQ04eXlJTw9PQ3a8fPzExERESIvL096FBcXG9SMGjVKuLu7i9TUVJGamirc3d1FSEiINL+6ulq4u7uLgIAAceLECZGcnCycnJzEzJkzG70+V69eFQD44IMPPvjggw8jfFy9evWBWaFZF5y8efMm7O3tcejQIQwfPrzBmmPHjuHpp5/G5cuX0a1bNwC/jCgNHDgQn3zySYPLnDlzBv369UN6ejq8vLwAAOnp6fDx8cHZs2fh5uaGPXv2ICQkBFevXpVGq7Zs2YJp06ahoKAAnTp1emD/S0pK0LlzZ1y9erVR9fR40ev1SEpKQlBQEFQqVVt3h4geIn7+jVtpaSmcnZ1RXFwMjUZz39pm3eutpKQEAGBjY3PfGoVCYbDLDADi4uKwadMmODg4YPTo0Zg3b5509+y0tDRoNBopJAGAt7c3NBoNUlNT4ebmhrS0NLi7uxvs0gsODoZOp0NmZiYCAgLq9UWn0xncgfzOnTsAAAsLC1hYWDT9DaBHmlKphKWlJSwsLPiHksjI8PNv3PR6PQA06rCb3xyUhBCYM2cOnnnmGbi7uzdYc/fuXbz77rsICwszGLGZMmUKXF1dodVqkZ2djZiYGPzwww9ITk4GAOTn58Pe3r5ee/b29sjPz5dqHBwcDOZbW1vDzMxMqrlXbGwsFixYUG96UlKSdFNMMj51/+6IyPjw82+cKioqGl37m4PSzJkz8eOPP+LIkSMNztfr9Zg8eTJqa2uxatUqg3kRERHS7+7u7ujduzeGDBmCEydOYPDgwQAaTnlCCIPpjan5tZiYGMyZM0d6Xjf0FhQUxF1vRkiv1yM5ORmBgYH8HyWRkeHn37iVlpY2uvY3BaVZs2bh22+/xeHDh9G1a9d68/V6PSZNmoScnBzs37//gSFk8ODBUKlUOH/+PAYPHgytVosbN27Uq7t586Y0iqTVapGRkWEwv6ioCHq9vt5IUx21Wg21Wl1vukql4gfFiHH7Exkvfv6NU1O2eZOuoySEwMyZMxEfH4/9+/fD1dW1Xk1dSDp//jz27t0LW1vbB7Z76tQp6PV6ODo6AgB8fHxQUlKCo0ePSjUZGRkoKSnB0KFDpZrs7Gzk5eVJNUlJSVCr1fD09GzKahERERE1qEkjSjNmzMDXX3+N//znP+jYsaN0LJBGo4GFhQWqq6sxceJEnDhxAjt37kRNTY1UY2NjAzMzM1y8eBFxcXEYM2YM7OzscPr0aURFRWHQoEHw9fUFAPTt2xejRo1CREQE1qxZAwCYPn06QkJCpGs2BQUFoV+/fggPD8eSJUtw+/ZtREdHIyIigrvRiIiIqEU0aURp9erVKCkpgb+/PxwdHaXH1q1bAQC5ubn49ttvkZubi4EDBxrUpKamAgDMzMywb98+BAcHw83NDZGRkQgKCsLevXthamoqvVZcXBw8PDwQFBSEoKAg9O/fHxs3bpTmm5qaYteuXTA3N4evry8mTZqE8ePHY+nSpS3xvhARERE1bUTpQZdc6t69+wNrnJ2d612VuyE2NjbYtGnTfWu6deuGnTt3PrAtIiIiot+C93ojIiIiksGgRERERqWmpgaHDh3C4cOHcejQIdTU1LR1l6gdY1AiIiKjER8fj169eiEwMBDLly9HYGAgevXqhfj4+LbuGrVTDEpERGQU4uPjMXHiRHh4eCAlJQWbN29GSkoKPDw8MHHiRIYlahCDEhERPfZqamoQFRWFkJAQJCQkwMvLCxYWFvDy8kJCQgJCQkIQHR3N3XBUD4MSERE99lJSUnDp0iXMnTsXJiaGX30mJiaIiYlBTk4OUlJS2qiH1F4xKBER0WOv7i4Ocjdxr5v+67s9EAEMSkREZATqbpGVnZ3d4Py66XV1RHUYlIiI6LE3bNgwdO/eHYsWLUJtba3BvNraWsTGxsLV1RXDhg1rox5Se8WgREREjz1TU1MsW7YMO3fuxPjx45Geno7Kykqkp6dj/Pjx2LlzJ5YuXWpwKy0ioIm3MCEiInpUhYaGYtu2bYiKisLw4cOl6a6urti2bRtCQ0PbsHfUXjEoERGR0QgNDcXvf/97HDhwAHv27MHo0aMREBDAkSSSxaBERERGxdTUFH5+figvL4efnx9DEt0Xj1EiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSjSUEpNjYWTz31FDp27Ah7e3uMHz8e586dM6gRQmD+/PlwcnKChYUF/P39cerUKYManU6HWbNmwc7ODlZWVhg3bhxyc3MNaoqKihAeHg6NRgONRoPw8HAUFxcb1Fy5cgVjx46FlZUV7OzsEBkZiaqqqqasEhEREZEsZVOKDx06hBkzZuCpp55CdXU1/vKXvyAoKAinT5+GlZUVAGDx4sVYvnw51q9fjyeffBIffPABAgMDce7cOXTs2BEAMHv2bOzYsQNbtmyBra0toqKiEBISgszMTJiamgIAwsLCkJubi8TERADA9OnTER4ejh07dgAAampq8Nxzz6FLly44cuQICgsLMXXqVAghsGLFihZ7g4iI6NFRUVGBs2fPPrCurFKH1JMXYW13HB0s1A+s79OnDywtLVuii/SoEc1QUFAgAIhDhw4JIYSora0VWq1WfPjhh1LN3bt3hUajEZ9//rkQQoji4mKhUqnEli1bpJpr164JExMTkZiYKIQQ4vTp0wKASE9Pl2rS0tIEAHH27FkhhBC7d+8WJiYm4tq1a1LN5s2bhVqtFiUlJY3qf0lJiQDQ6Hp6vFRVVYmEhARRVVXV1l0hohaSmZkpALT4IzMzs61XjVpQU77/mzSidK+SkhIAgI2NDQAgJycH+fn5CAoKkmrUajX8/PyQmpqKP/3pT8jMzIRerzeocXJygru7O1JTUxEcHIy0tDRoNBp4eXlJNd7e3tBoNEhNTYWbmxvS0tLg7u4OJycnqSY4OBg6nQ6ZmZkICAio11+dTgedTic9Ly0tBQDo9Xro9frmvBX0CKrb5tz2RI+Pnj17IiMj44F1P+WV4K3tp7FkQj886ahpVLv8W/H4aMq2/M1BSQiBOXPm4JlnnoG7uzsAID8/HwDg4OBgUOvg4IDLly9LNWZmZrC2tq5XU7d8fn4+7O3t672mvb29Qc29r2NtbQ0zMzOp5l6xsbFYsGBBvelJSUkcUjViycnJbd0FInrIissAtbYXissqkJdX8cD6vLy8h9ArelgqKh68zev85qA0c+ZM/Pjjjzhy5Ei9eQqFwuC5EKLetHvdW9NQ/W+p+bWYmBjMmTNHel5aWgpnZ2cEBQWhU6dO9+0fPX70ej2Sk5MRGBgIlUrV1t0hoofohyu3gZPH4e3tjQHdbNq6O/SQ1e1RaozfFJRmzZqFb7/9FocPH0bXrl2l6VqtFsAvoz2Ojo7S9IKCAmn0R6vVoqqqCkVFRQajSgUFBRg6dKhUc+PGjXqve/PmTYN27h1eLSoqgl6vrzfSVEetVkOtrn/Qnkql4helEeP2JzI+SqVS+snPv/FpyjZv0uUBhBCYOXMm4uPjsX//fri6uhrMd3V1hVarNdiVUVVVhUOHDkkhyNPTEyqVyqAmLy8P2dnZUo2Pjw9KSkpw9OhRqSYjIwMlJSUGNdnZ2QbDoUlJSVCr1fD09GzKahERERE1qEkjSjNmzMDXX3+N//znP+jYsaN0LJBGo4GFhQUUCgVmz56NRYsWoXfv3ujduzcWLVoES0tLhIWFSbWvvfYaoqKiYGtrCxsbG0RHR8PDwwMjR44EAPTt2xejRo1CREQE1qxZA+CXywOEhITAzc0NABAUFIR+/fohPDwcS5Yswe3btxEdHY2IiAjuRiMiIqIW0aSgtHr1agCAv7+/wfR169Zh2rRpAIC3334blZWVeOONN1BUVAQvLy8kJSVJ11ACgI8//hhKpRKTJk1CZWUlRowYgfXr10vXUAKAuLg4REZGSmfHjRs3DitXrpTmm5qaYteuXXjjjTfg6+sLCwsLhIWFYenSpU16A4iIiIjkKIQQoq070VZKS0uh0WhQUlLCUSgjpNfrsXv3bowZM4bHKBAZmazLhRi/Oh0Jr3tjoIttW3eHHrKmfP/zXm9EREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkYwmB6XDhw9j7NixcHJygkKhQEJCgsF8hULR4GPJkiVSjb+/f735kydPNminqKgI4eHh0Gg00Gg0CA8PR3FxsUHNlStXMHbsWFhZWcHOzg6RkZGoqqpq6ioRERERNajJQam8vBwDBgzAypUrG5yfl5dn8Pjyyy+hUCjw/PPPG9RFREQY1K1Zs8ZgflhYGLKyspCYmIjExERkZWUhPDxcml9TU4PnnnsO5eXlOHLkCLZs2YJvvvkGUVFRTV0lIiIiogYpm7rA6NGjMXr0aNn5Wq3W4Pl//vMfBAQEoEePHgbTLS0t69XWOXPmDBITE5Geng4vLy8AwNq1a+Hj44Nz587Bzc0NSUlJOH36NK5evQonJycAwLJlyzBt2jQsXLgQnTp1auqqERERERloclBqihs3bmDXrl3YsGFDvXlxcXHYtGkTHBwcMHr0aMybNw8dO3YEAKSlpUGj0UghCQC8vb2h0WiQmpoKNzc3pKWlwd3dXQpJABAcHAydTofMzEwEBATUe02dTgedTic9Ly0tBQDo9Xro9foWW296NNRtc257IuNTXV0t/eTfAOPTlG3eqkFpw4YN6NixI0JDQw2mT5kyBa6urtBqtcjOzkZMTAx++OEHJCcnAwDy8/Nhb29frz17e3vk5+dLNQ4ODgbzra2tYWZmJtXcKzY2FgsWLKg3PSkpCZaWlr9pHenRV/fvjoiMx9UyAFAiPT0d17Lbujf0sFVUVDS6tlWD0pdffokpU6bA3NzcYHpERIT0u7u7O3r37o0hQ4bgxIkTGDx4MIBfDgq/lxDCYHpjan4tJiYGc+bMkZ6XlpbC2dkZQUFB3FVnhPR6PZKTkxEYGAiVStXW3SGih+iHK7eBk8fh7e2NAd1s2ro79JDV7VFqjFYLSikpKTh37hy2bt36wNrBgwdDpVLh/PnzGDx4MLRaLW7cuFGv7ubNm9IoklarRUZGhsH8oqIi6PX6eiNNddRqNdRqdb3pKpWKX5RGjNufyPgolUrpJz//xqcp27zVrqP0xRdfwNPTEwMGDHhg7alTp6DX6+Ho6AgA8PHxQUlJCY4ePSrVZGRkoKSkBEOHDpVqsrOzkZeXJ9UkJSVBrVbD09OzhdeGiIiIjFGTR5TKyspw4cIF6XlOTg6ysrJgY2ODbt26AfhlSOvf//43li1bVm/5ixcvIi4uDmPGjIGdnR1Onz6NqKgoDBo0CL6+vgCAvn37YtSoUYiIiJAuGzB9+nSEhITAzc0NABAUFIR+/fohPDwcS5Yswe3btxEdHY2IiAjuRiMiIqIW0eQRpePHj2PQoEEYNGgQAGDOnDkYNGgQ3n//falmy5YtEELgpZdeqre8mZkZ9u3bh+DgYLi5uSEyMhJBQUHYu3cvTE1Npbq4uDh4eHggKCgIQUFB6N+/PzZu3CjNNzU1xa5du2Bubg5fX19MmjQJ48ePx9KlS5u6SkREREQNUgghRFt3oq2UlpZCo9GgpKSEo1BGSK/XY/fu3RgzZgyPUSAyMlmXCzF+dToSXvfGQBfbtu4OPWRN+f7nvd6IiIiIZDAoEREREclgUCIiIiKSwaBEREREJINBiYiIiEgGgxIRERGRDAYlIiIiIhkMSkREREQyGJSIiIiIZDAoEREREclgUCIiIiKSwaBEREREJINBiYiIiEgGgxIRERGRDAYlIiIiIhkMSkREREQyGJSIiIiIZDAoEREREclgUCKjVFNTg0OHDuHw4cM4dOgQampq2rpLRETUDjEokdGJj49Hr169EBgYiOXLlyMwMBC9evVCfHx8W3eNiIjaGQYlMirx8fGYOHEiPDw8kJKSgs2bNyMlJQUeHh6YOHEiwxIRERlgUCKjUVNTg6ioKISEhCAhIQFeXl6wsLCAl5cXEhISEBISgujoaO6GIyIiCYMSGY2UlBRcunQJc+fOhRDC4BglIQRiYmKQk5ODlJSUtu4qERG1EwxKZDTy8vIAABcvXmzwGKWff/7ZoI6IiIhBiYyGo6MjACA8PLzBY5TCw8MN6oiIiJRt3QGih2Xo0KFQKpWwtbVFfHw8hBAoLCyEl5cX4uPj0bVrVxQWFmLo0KFt3VUiImonOKJERiM1NRXV1dW4ceMGQkNDkZ6ejsrKSqSnpyM0NBQ3btxAdXU1UlNT27qrRETUTjAokdGoO/Zo06ZNOHnyJIYPH46XXnoJw4cPR3Z2NjZt2mRQR0RExKBERqPu2KOePXviwoULSE5Oxpw5c5CcnIzz58+jR48eBnVEREQMSmQ0hg0bhu7du2PRokVQKBTw8/PD8OHD4efnB4VCgdjYWLi6umLYsGFt3VUiImonGJTIaJiammLZsmXYuXMnxo8fb3CM0vjx47Fz504sXboUpqambd1VIiJqJ3jWGxmV0NBQbNu2DVFRURg+fLg03dXVFdu2bUNoaGgb9o6IiNqbJo8oHT58GGPHjoWTkxMUCgUSEhIM5k+bNg0KhcLg4e3tbVCj0+kwa9Ys2NnZwcrKCuPGjUNubq5BTVFREcLDw6HRaKDRaBAeHo7i4mKDmitXrmDs2LGwsrKCnZ0dIiMjUVVV1dRVIiMTGhra4DFKDElERHSvJgel8vJyDBgwACtXrpStGTVqFPLy8qTH7t27DebPnj0b27dvx5YtW3DkyBGUlZUhJCTE4B5bYWFhyMrKQmJiIhITE5GVlSVdEBD45b5dzz33HMrLy3HkyBFs2bIF33zzDaKiopq6SmSETE1NDY5R4u42IiJqSJN3vY0ePRqjR4++b41arYZWq21wXklJCb744gts3LgRI0eOBPDL6drOzs7Yu3cvgoODcebMGSQmJiI9PR1eXl4AgLVr18LHxwfnzp2Dm5sbkpKScPr0aVy9ehVOTk4AgGXLlmHatGlYuHAhOnXqVO+1dToddDqd9Ly0tBQAoNfrodfrm/pW0COubptz2xMZn+rqaukn/wYYn6Zs81Y5RungwYOwt7dH586d4efnh4ULF8Le3h4AkJmZCb1ej6CgIKneyckJ7u7uSE1NRXBwMNLS0qDRaKSQBADe3t7QaDRITU2Fm5sb0tLS4O7uLoUkAAgODoZOp0NmZiYCAgLq9Ss2NhYLFiyoNz0pKQmWlpYt+RbQIyQ5Obmtu0BED9nVMgBQIj09Hdey27o39LBVVFQ0urbFg9Lo0aPxwgsvwMXFBTk5OXjvvffw7LPPIjMzE2q1Gvn5+TAzM4O1tbXBcg4ODsjPzwcA5OfnS8Hq1+zt7Q1qHBwcDOZbW1vDzMxMqrlXTEwM5syZIz0vLS2Fs7MzgoKCGhyBosebXq9HcnIyAgMDoVKp2ro7RPQQ/XDlNnDyOLy9vTGgm01bd4cesro9So3R4kHpxRdflH53d3fHkCFD4OLigl27dt33YFkhBBQKhfT81783p+bX1Go11Gp1vekqlYpflEaM25/I+CiVSuknP//GpynbvNWvo+To6AgXFxecP38eAKDValFVVYWioiKDuoKCAmmESKvV4saNG/XaunnzpkHNvSNHRUVF0Ov19UaaiIiIiH6LVg9KhYWFuHr1qnRbCE9PT6hUKoPjQvLy8pCdnS3dtd3HxwclJSU4evSoVJORkYGSkhKDmuzsbIP7ciUlJUGtVsPT07O1V4uIiIiMQJN3vZWVleHChQvS85ycHGRlZcHGxgY2NjaYP38+nn/+eTg6OuLSpUuYO3cu7OzsMGHCBACARqPBa6+9hqioKNja2sLGxgbR0dHw8PCQzoLr27cvRo0ahYiICKxZswYAMH36dISEhMDNzQ0AEBQUhH79+iE8PBxLlizB7du3ER0djYiICB5vRERERC2iyUHp+PHjBmeU1R0cPXXqVKxevRonT57EV199heLiYjg6OiIgIABbt25Fx44dpWU+/vhjKJVKTJo0CZWVlRgxYgTWr19vcC2buLg4REZGSmfHjRs3zuDaTaampti1axfeeOMN+Pr6wsLCAmFhYVi6dGnT3wUiIiKiBiiEEKKtO9FWSktLodFoUFJSwlEoI1NTU4MDBw5gz549GD16NAICAnjRSSIjknW5EONXpyPhdW8MdLFt6+7QQ9aU73/eFJeMTnx8PHr16oXAwEAsX74cgYGB6NWrF+Lj49u6a0RE1M4wKJFRiY+Px8SJE+Hh4YGUlBRs3rwZKSkp8PDwwMSJExmWiIjIAIMSGY2amhpERUUhJCQECQkJ8PLygoWFBby8vJCQkICQkBBER0cb3HOQiIiMG4MSGY2UlBTpTEwTE8N/+iYmJoiJiUFOTg5SUlLaqIdERNTeMCiR0ai75pa7u3uD8+um//raXEREZNwYlMho1F30NDu74Ttg1k2vqyMiImJQIqMxbNgwdO/eHYsWLUJtba3BvNraWsTGxsLV1RXDhg1rox4SEVF7w6BERsPU1BTLli3Dzp07MX78eKSnp6OyshLp6ekYP348du7ciaVLl/J6SkREJGnylbmJHmWhoaHYtm0boqKiMHz4cGm6q6srtm3bhtDQ0DbsHRERtTcMSmR0QkND8fvf/55X5iZ6BOXcKke5rrrZ7Vy8WS79VCqb/1VopVbC1c6q2e1Q+8OgREbJ1NQUfn5+KC8vh5+fH0MS0SMg51Y5ApYebNE2o7adbLG2DkT7Myw9hhiUiIjokVA3kvTJiwPRy75D89qq1GHnwTSE+PvAykLdrLYuFJRh9tasFhnpovaHQYmIiB4pvew7wP0JTbPa0Ov1yO8CDHaxhkqlaqGe0eOIZ70RERERyWBQIiIiIpLBoEREREQkg0GJiIiISAaDEhEREZEMBiUiIiIiGQxKRERERDIYlIiIiIhkMCgRERERyWBQIiIiIpLBoEREREQkg0GJiIiISAaDEhEREZEMBiUiIiIiGQxKRERERDIYlIiIiIhkMCgRERERyWBQIiIiIpLR5KB0+PBhjB07Fk5OTlAoFEhISJDm6fV6vPPOO/Dw8ICVlRWcnJzwhz/8AdevXzdow9/fHwqFwuAxefJkg5qioiKEh4dDo9FAo9EgPDwcxcXFBjVXrlzB2LFjYWVlBTs7O0RGRqKqqqqpq0RERETUoCYHpfLycgwYMAArV66sN6+iogInTpzAe++9hxMnTiA+Ph4//fQTxo0bV682IiICeXl50mPNmjUG88PCwpCVlYXExEQkJiYiKysL4eHh0vyamho899xzKC8vx5EjR7BlyxZ88803iIqKauoqERERETVI2dQFRo8ejdGjRzc4T6PRIDk52WDaihUr8PTTT+PKlSvo1q2bNN3S0hJarbbBds6cOYPExESkp6fDy8sLALB27Vr4+Pjg3LlzcHNzQ1JSEk6fPo2rV6/CyckJALBs2TJMmzYNCxcuRKdOnZq6akREREQGmhyUmqqkpAQKhQKdO3c2mB4XF4dNmzbBwcEBo0ePxrx589CxY0cAQFpaGjQajRSSAMDb2xsajQapqalwc3NDWloa3N3dpZAEAMHBwdDpdMjMzERAQEC9vuh0Ouh0Oul5aWkpgF92Ger1+pZcbWrnampqcPDgQRw+fBhqtRr+/v4wNTVt624R0X1UV1dLP5v7N7tu+Zb429+S/aKHoynbqVWD0t27d/Huu+8iLCzMYIRnypQpcHV1hVarRXZ2NmJiYvDDDz9Io1H5+fmwt7ev1569vT3y8/OlGgcHB4P51tbWMDMzk2ruFRsbiwULFtSbnpSUBEtLy9+8nvRoSUtLw7p161BQUAAAWL58Oezt7fHKK6/Ax8enjXtHRHKulgGAEkeOHMHlDi3T5r17QX6L1ugXta6KiopG17ZaUNLr9Zg8eTJqa2uxatUqg3kRERHS7+7u7ujduzeGDBmCEydOYPDgwQAAhUJRr00hhMH0xtT8WkxMDObMmSM9Ly0thbOzM4KCgrirzkhs374dixcvxpgxYxAdHY38/HxotVosXboUixcvxpYtWzBhwoS27iYRNeDU9VIsPZmOZ555Br9zat7fbL1ej+TkZAQGBkKlUrWbftHDUbdHqTFaJSjp9XpMmjQJOTk52L9//wNDyODBg6FSqXD+/HkMHjwYWq0WN27cqFd38+ZNaRRJq9UiIyPDYH5RURH0en29kaY6arUaarW63nSVStXsDwq1fzU1NXjnnXcQEhKChIQE1NTUYPfu3fD19cXw4cMxfvx4vPvuu3j++ee5G46oHVIqldLPlvqb3RJ//1ujX9S6mrKdWvw6SnUh6fz589i7dy9sbW0fuMypU6eg1+vh6OgIAPDx8UFJSQmOHj0q1WRkZKCkpARDhw6VarKzs5GXlyfVJCUlQa1Ww9PTs4XXih4HKSkpuHTpEubOnQshBA4dOoTDhw/j0KFDEEIgJiYGOTk5SElJaeuuEhFRO9HkEaWysjJcuHBBep6Tk4OsrCzY2NjAyckJEydOxIkTJ7Bz507U1NRIxwvZ2NjAzMwMFy9eRFxcHMaMGQM7OzucPn0aUVFRGDRoEHx9fQEAffv2xahRoxARESFdNmD69OkICQmBm5sbACAoKAj9+vVDeHg4lixZgtu3byM6OhoRERHcjUYNqgvVFy9exEsvvYRLly4B+OUYpe7du+ODDz4wqCMiImryiNLx48cxaNAgDBo0CAAwZ84cDBo0CO+//z5yc3Px7bffIjc3FwMHDoSjo6P0SE1NBQCYmZlh3759CA4OhpubGyIjIxEUFIS9e/ca7O6Ii4uDh4cHgoKCEBQUhP79+2Pjxo3SfFNTU+zatQvm5ubw9fXFpEmTMH78eCxdurS57wk9pupGLF9++WV4eHggJSUFmzdvRkpKCjw8PPDyyy8b1BERETV5RMnf3x9CCNn595sHAM7Ozjh06NADX8fGxgabNm26b023bt2wc+fOB7ZFBABDhw6FUqmEra0t4uPjIYRAYWEhvLy8EB8fj65du6KwsFDavUtERMR7vZHRSE1NRXV1NQoKChAaGor09HRUVlYiPT0doaGhKCgoQHV1tTT6SURExKBERqPu2KONGzfi5MmTGD58OF566SUMHz4c2dnZ0q5dHqNERER1GJTIaNQde3T16lXU1NQYzKuursaVK1cM6oiIiFr9FiZE7cWwYcNgb2+PmJiYehclzc3Nxdy5c2Fvb49hw4a1UQ+JiKi9YVAio3Lnzh0Av1xs7M0334SrqytycnLw6aefoqqqSppPREQEMCiREdm3bx8qKyvRoUMH2NraYsmSJdK87t2749atWygrK8O+ffsQFBTUhj0lIqL2gscokdGoO1g7NjYWFy9eRHJyMubMmYPk5GRcuHABCxcuNKgjIiLiiBIZjbKyMgCAq6srTE1N4efnh/Lycvj5+cHU1BTdu3c3qCMiIuKIEhmNZ555BgAwd+5c1NbWGsyrra3FX//6V4M6IiIiBiUyGrNmzYKJiQl+/PFHjBs3zuCCk+PGjcPJkydhYmKCWbNmtXVXiYioneCuNzIaZmZmiIqKwpIlS7Bnzx7s2rVLmld3n8GoqCiYmZm1VReJiKidYVAio7J48WIAwMcff2yw+02hUOCtt96S5hMREQHc9UZGaPHixSgvL8fSpUsxZswYLF26FOXl5QxJRERUD0eUyCiZmZkhMjISvXr1wpgxY6BSqdq6S0RE1A4xKNFjp6KiAmfPnn1gXVmlDqknL8La7jg6WKgfWN+nTx9YWlq2RBeJ6DfQ1dyFifk15JSeg4l5h2a1VV1djevV13Hm9hkolc37KswpLYOJ+TXoau4C0DSrLWp/GJTosXP27Fl4eno2ur6xO9wyMzMxePDg39YpImq26+WXYeW6AnOPtlybqxJXtUg7Vq7A9fKB8IRDi7RH7QeDEj12+vTpg8zMzAfWncsrxpx/n8TyFzzg5ti5Ue0SUdtxsnJBec4sfPriQPS0b/6I0vdHvofvM77NHlG6WFCGN7dmwSnApVntUPvEoESPHUtLy0aN/JhcLoQ6pRJ93QdgoIvtQ+gZETWH2tQctXefgGsnN/Szbd4uLr1ejxxlDvra9G32MYq1d0tQe/cm1KbmzWqH2iee9UZEREQkg0GJiIiISAaDEhEREZEMBiUiIiIiGQxKRERERDIYlIiIiIhkMCgRERERyWBQIiIiIpLBoEREREQkg0GJiIiISAaDEhEREZEMBiUiIiIiGQxKRERERDKaHJQOHz6MsWPHwsnJCQqFAgkJCQbzhRCYP38+nJycYGFhAX9/f5w6dcqgRqfTYdasWbCzs4OVlRXGjRuH3Nxcg5qioiKEh4dDo9FAo9EgPDwcxcXFBjVXrlzB2LFjYWVlBTs7O0RGRqKqqqqpq0RERETUoCYHpfLycgwYMAArV65scP7ixYuxfPlyrFy5EseOHYNWq0VgYCDu3Lkj1cyePRvbt2/Hli1bcOTIEZSVlSEkJAQ1NTVSTVhYGLKyspCYmIjExERkZWUhPDxcml9TU4PnnnsO5eXlOHLkCLZs2YJvvvkGUVFRTV0lIiIiooaJZgAgtm/fLj2vra0VWq1WfPjhh9K0u3fvCo1GIz7//HMhhBDFxcVCpVKJLVu2SDXXrl0TJiYmIjExUQghxOnTpwUAkZ6eLtWkpaUJAOLs2bNCCCF2794tTExMxLVr16SazZs3C7VaLUpKShrV/5KSEgGg0fX0ePnvpVvC5Z2d4r+XbrV1V4ioEU7mFguXd3aKk7nFzW6rqqpKJCQkiKqqqnbVL3o4mvL9r2zJ0JWTk4P8/HwEBQVJ09RqNfz8/JCamoo//elPyMzMhF6vN6hxcnKCu7s7UlNTERwcjLS0NGg0Gnh5eUk13t7e0Gg0SE1NhZubG9LS0uDu7g4nJyepJjg4GDqdDpmZmQgICKjXP51OB51OJz0vLS0FAOj1euj1+pZ8K+gRUF1dLf3k9idq/1ryM1u3fEt89vm35NHTlO3UokEpPz8fAODg4GAw3cHBAZcvX5ZqzMzMYG1tXa+mbvn8/HzY29vXa9/e3t6g5t7Xsba2hpmZmVRzr9jYWCxYsKDe9KSkJFhaWjZmFekxcrUMAJRIT0/Htey27g0RPUjdZ/bIkSO43KFl2kxOTm52G63RL2pdFRUVja5t0aBUR6FQGDwXQtSbdq97axqq/y01vxYTE4M5c+ZIz0tLS+Hs7IygoCB06tTpvv2jx88PV24DJ4/D29sbA7rZtHV3iOgBTl0vxdKT6XjmmWfwO6fm/c3W6/VITk5GYGAgVCpVu+kXPRx1e5Qao0WDklarBfDLaI+jo6M0vaCgQBr90Wq1qKqqQlFRkcGoUkFBAYYOHSrV3Lhxo177N2/eNGgnIyPDYH5RURH0en29kaY6arUaarW63nSVStXsDwo9epRKpfST25+o/WuNz2xL/P3n35JHT1O2U4teR8nV1RVardZgKLOqqgqHDh2SQpCnpydUKpVBTV5eHrKzs6UaHx8flJSU4OjRo1JNRkYGSkpKDGqys7ORl5cn1SQlJUGtVsPT07MlV4uIiIiMVJNHlMrKynDhwgXpeU5ODrKysmBjY4Nu3bph9uzZWLRoEXr37o3evXtj0aJFsLS0RFhYGABAo9HgtddeQ1RUFGxtbWFjY4Po6Gh4eHhg5MiRAIC+ffti1KhRiIiIwJo1awAA06dPR0hICNzc3AAAQUFB6NevH8LDw7FkyRLcvn0b0dHRiIiI4G40IiIiahFNDkrHjx83OKOs7pifqVOnYv369Xj77bdRWVmJN954A0VFRfDy8kJSUhI6duwoLfPxxx9DqVRi0qRJqKysxIgRI7B+/XqYmppKNXFxcYiMjJTOjhs3bpzBtZtMTU2xa9cuvPHGG/D19YWFhQXCwsKwdOnSpr8LRERERA1oclDy9/eHEEJ2vkKhwPz58zF//nzZGnNzc6xYsQIrVqyQrbGxscGmTZvu25du3bph586dD+wzERER0W/Be70RERERyWBQIiIiIpLBoEREREQkg0GJiIiISAaDEhEREZEMBiUiIiIiGQxKRERERDJa5aa4RERELa1SXwMAyL5W0uy2yit1OH4T0F4ugpVF/XuANsWFgrJm94faLwYlIiJ6JFz8/4Hk3fiTLdSiEhsvHGuhtgArNb9SH0fcqkRE9EgI+p0WANDTvgMsVKYPqL6/c3kliNp2EssmesDNUdPsvlmplXC1s2p2O9T+MCgREdEjwcbKDJOf7tYibVVXVwMAenaxgvsTzQ9K9PjiwdxEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMpRt3QGipsq5VY5yXXWz27l4s1z6qVQ2/6NgpVbC1c6q2e0QEVH7waBEj5ScW+UIWHqwRduM2nayxdo6EO3PsERE9BhhUKJHSt1I0icvDkQv+w7Na6tSh50H0xDi7wMrC3Wz2rpQUIbZW7NaZKSLiIjajxYPSt27d8fly5frTX/jjTfw2WefYdq0adiwYYPBPC8vL6Snp0vPdTodoqOjsXnzZlRWVmLEiBFYtWoVunbtKtUUFRUhMjIS3377LQBg3LhxWLFiBTp37tzSq0TtUC/7DnB/QtOsNvR6PfK7AINdrKFSqVqoZ0RE9Dhp8YO5jx07hry8POmRnJwMAHjhhRekmlGjRhnU7N6926CN2bNnY/v27diyZQuOHDmCsrIyhISEoKamRqoJCwtDVlYWEhMTkZiYiKysLISHh7f06hAREZERa/ERpS5duhg8//DDD9GzZ0/4+flJ09RqNbRabYPLl5SU4IsvvsDGjRsxcuRIAMCmTZvg7OyMvXv3Ijg4GGfOnEFiYiLS09Ph5eUFAFi7di18fHxw7tw5uLm5tfRqERERkRFq1WOUqqqqsGnTJsyZMwcKhUKafvDgQdjb26Nz587w8/PDwoULYW9vDwDIzMyEXq9HUFCQVO/k5AR3d3ekpqYiODgYaWlp0Gg0UkgCAG9vb2g0GqSmpsoGJZ1OB51OJz0vLS0F8MsuGL1e36LrTq2jurpa+tncbVa3fEts+5bsFxG1Pn5mjVtTtnmrBqWEhAQUFxdj2rRp0rTRo0fjhRdegIuLC3JycvDee+/h2WefRWZmJtRqNfLz82FmZgZra2uDthwcHJCfnw8AyM/Pl4LVr9nb20s1DYmNjcWCBQvqTU9KSoKlpeVvXEt6mK6WAYASR44cweXmHcstqds93Byt0S8iaj11n9n09HRcy27r3tDDVlFR0ejaVg1KX3zxBUaPHg0nJydp2osvvij97u7ujiFDhsDFxQW7du1CaGiobFtCCINRqV//Lldzr5iYGMyZM0d6XlpaCmdnZwQFBaFTp06NXi9qO6eul2LpyXQ888wz+J1T87aZXq9HcnIyAgMDm30wd0v2i4ha3w9XbgMnj8Pb2xsDutm0dXfoIavbo9QYrRaULl++jL179yI+Pv6+dY6OjnBxccH58+cBAFqtFlVVVSgqKjIYVSooKMDQoUOlmhs3btRr6+bNm3BwcJB9LbVaDbW6/mngKpWKZz09IuouDKlUKltsm7XE9m+NfhFR6+Fn1rg1ZZu32i1M1q1bB3t7ezz33HP3rSssLMTVq1fh6OgIAPD09IRKpTLYHZKXl4fs7GwpKPn4+KCkpARHjx6VajIyMlBSUiLVEBERETVXq4wo1dbWYt26dZg6darBrSHKysowf/58PP/883B0dMSlS5cwd+5c2NnZYcKECQAAjUaD1157DVFRUbC1tYWNjQ2io6Ph4eEhnQXXt29fjBo1ChEREVizZg0AYPr06QgJCeEZb0RERNRiWiUo7d27F1euXMGrr75qMN3U1BQnT57EV199heLiYjg6OiIgIABbt25Fx44dpbqPP/4YSqUSkyZNki44uX79epiamko1cXFxiIyMlM6OGzduHFauXNkaq0NERERGqlWCUlBQEIQQ9aZbWFjgu+++e+Dy5ubmWLFiBVasWCFbY2Njg02bNjWrn0RERET302rHKBERERE96hiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkYxWvSkuUUvT1dyFifk15JSeg4l5h2a1VV1djevV13Hm9hmDK8j/FjmlZTAxvwZdzV0Amma1RURE7QeDEj1SrpdfhpXrCsw9+uDaxlqVuKpF2rFyBa6XD4Qn5G/MTEREjxYGJXqkOFm5oDxnFj59cSB62jd/ROn7I9/D9xnfZo8oXSwow5tbs+AU4NKsdoiIqH1hUKJHitrUHLV3n4BrJzf0s23eLi69Xo8cZQ762vSFSqVqVlu1d0tQe/cm1KbmzWqHiIjaFx7MTURERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCRD2dYdIGqKSn0NACD7Wkmz2yqv1OH4TUB7uQhWFupmtXWhoKzZ/SEiovaHQYkeKRf/fyB5N/5kC7WoxMYLx1qoLcBKzY8UEdHjhH/V6ZES9DstAKCnfQdYqEyb1da5vBJEbTuJZRM94OaoaXbfrNRKuNpZNbsdIiJqPxiU6JFiY2WGyU93a5G2qqurAQA9u1jB/YnmByUiInr8tPjB3PPnz4dCoTB4aLVaab4QAvPnz4eTkxMsLCzg7++PU6dOGbSh0+kwa9Ys2NnZwcrKCuPGjUNubq5BTVFREcLDw6HRaKDRaBAeHo7i4uKWXh0iIiIyYq1y1tvvfvc75OXlSY+TJ//veJLFixdj+fLlWLlyJY4dOwatVovAwEDcuXNHqpk9eza2b9+OLVu24MiRIygrK0NISAhqamqkmrCwMGRlZSExMRGJiYnIyspCeHh4a6wOERERGalW2fWmVCoNRpHqCCHwySef4C9/+QtCQ0MBABs2bICDgwO+/vpr/OlPf0JJSQm++OILbNy4ESNHjgQAbNq0Cc7Ozti7dy+Cg4Nx5swZJCYmIj09HV5eXgCAtWvXwsfHB+fOnYObm1uD/dLpdNDpdNLz0tJSAIBer4der2/R94Dav7pdb9XV1dz+REaGn3/j1pRt3ipB6fz583BycoJarYaXlxcWLVqEHj16ICcnB/n5+QgKCpJq1Wo1/Pz8kJqaij/96U/IzMyEXq83qHFycoK7uztSU1MRHByMtLQ0aDQaKSQBgLe3NzQaDVJTU2WDUmxsLBYsWFBvelJSEiwtLVvwHaBHwdUyAFAiPT0d17LbujdE9DDx82/cKioqGl3b4kHJy8sLX331FZ588kncuHEDH3zwAYYOHYpTp04hPz8fAODg4GCwjIODAy5fvgwAyM/Ph5mZGaytrevV1C2fn58Pe3v7eq9tb28v1TQkJiYGc+bMkZ6XlpbC2dkZQUFB6NSp029bYXpk/XDlNnDyOLy9vTGgm01bd4eIHiJ+/o1b3R6lxmjxoDR69Gjpdw8PD/j4+KBnz57YsGEDvL29AQAKhcJgGSFEvWn3uremofoHtaNWq6FW17+woEqlgkqluu/r0+NHqVRKP7n9iYwLP//GrSnbvNVvYWJlZQUPDw+cP39eOm7p3lGfgoICaZRJq9WiqqoKRUVF9625ceNGvde6efNmvdEqIiIiot+q1YOSTqfDmTNn4OjoCFdXV2i1WiQnJ0vzq6qqcOjQIQwdOhQA4OnpCZVKZVCTl5eH7OxsqcbHxwclJSU4evSoVJORkYGSkhKphoiIiKi5WnzXW3R0NMaOHYtu3bqhoKAAH3zwAUpLSzF16lQoFArMnj0bixYtQu/evdG7d28sWrQIlpaWCAsLAwBoNBq89tpriIqKgq2tLWxsbBAdHQ0PDw/pLLi+ffti1KhRiIiIwJo1awAA06dPR0hIiOyB3ERERERN1eJBKTc3Fy+99BJu3bqFLl26wNvbG+np6XBxcQEAvP3226isrMQbb7yBoqIieHl5ISkpCR07dpTa+Pjjj6FUKjFp0iRUVlZixIgRWL9+PUxN/++WFXFxcYiMjJTOjhs3bhxWrlzZ0qtDRERERkwhhBBt3Ym2UlpaCo1Gg5KSEp71ZoSyLhdi/Op0JLzujYEutm3dHSJ6iPj5N25N+f5v9WOUiIiIiB5VDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIBoMSERERkQwGJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFAiIiIiksGgRERERCSDQYmIiIhIRosHpdjYWDz11FPo2LEj7O3tMX78eJw7d86gZtq0aVAoFAYPb29vgxqdTodZs2bBzs4OVlZWGDduHHJzcw1qioqKEB4eDo1GA41Gg/DwcBQXF7f0KhEREZGRUrZ0g4cOHcKMGTPw1FNPobq6Gn/5y18QFBSE06dPw8rKSqobNWoU1q1bJz03MzMzaGf27NnYsWMHtmzZAltbW0RFRSEkJASZmZkwNTUFAISFhSE3NxeJiYkAgOnTpyM8PBw7duxo6dWiR0hFRQXOnj37wLpzecXQ5V/AmWwL1BZ2fmB9nz59YGlp2QI9JCKiR0WLB6W60FJn3bp1sLe3R2ZmJoYPHy5NV6vV0Gq1DbZRUlKCL774Ahs3bsTIkSMBAJs2bYKzszP27t2L4OBgnDlzBomJiUhPT4eXlxcAYO3atfDx8cG5c+fg5ubW0qtGj4izZ8/C09Oz0fVhGxpXl5mZicGDB//GXhER0aOoxYPSvUpKSgAANjY2BtMPHjwIe3t7dO7cGX5+fli4cCHs7e0B/PKFpNfrERQUJNU7OTnB3d0dqampCA4ORlpaGjQajRSSAMDb2xsajQapqakNBiWdTgedTic9Ly0tBQDo9Xro9fqWW2lqUz179kRGRsYD68oqdfgu5RiChz2FDhbqRrXLfydEj4fq6mrpJz/Xxqcp27xVg5IQAnPmzMEzzzwDd3d3afro0aPxwgsvwMXFBTk5OXjvvffw7LPPIjMzE2q1Gvn5+TAzM4O1tbVBew4ODsjPzwcA5OfnS8Hq1+zt7aWae8XGxmLBggX1piclJXGXipEa6tETd4pv407xg2vz8vJavT9E9HBcLQMAJdLT03Etu617Qw9bRUVFo2tbNSjNnDkTP/74I44cOWIw/cUXX5R+d3d3x5AhQ+Di4oJdu3YhNDRUtj0hBBQKhfT817/L1fxaTEwM5syZIz0vLS2Fs7MzgoKC0KlTp0avFz0e9Ho9kpOTERgYCJVK1dbdIaIWUFFRUe8EoobcySuBLv80Ovv0g6Oj5oH1bm5u/A/1Y6Ruj1JjtFpQmjVrFr799lscPnwYXbt2vW+to6MjXFxccP78eQCAVqtFVVUVioqKDEaVCgoKMHToUKnmxo0b9dq6efMmHBwcGnwdtVoNtbr+LhaVSsUvSiPG7U/0+Lh48aLBIRkPEs5jFI1SU/7mt3hQEkJg1qxZ2L59Ow4ePAhXV9cHLlNYWIirV6/C0dERAODp6QmVSoXk5GRMmjQJwC+7PbKzs7F48WIAgI+PD0pKSnD06FE8/fTTAICMjAyUlJRIYYqIiIxLnz59kJmZ+cC6skoddh1Iw3MBPo06RrFPnz4t0T16BLV4UJoxYwa+/vpr/Oc//0HHjh2l44U0Gg0sLCxQVlaG+fPn4/nnn4ejoyMuXbqEuXPnws7ODhMmTJBqX3vtNURFRcHW1hY2NjaIjo6Gh4eHdBZc3759MWrUKERERGDNmjUAfrk8QEhICM94IyIyUpaWlo0a+dHr9Si6VQCfp4dwRJnuq8WD0urVqwEA/v7+BtPXrVuHadOmwdTUFCdPnsRXX32F4uJiODo6IiAgAFu3bkXHjh2l+o8//hhKpRKTJk1CZWUlRowYgfXr10vXUAKAuLg4REZGSmfHjRs3DitXrmzpVSIiIiIj1Sq73u7HwsIC33333QPbMTc3x4oVK7BixQrZGhsbG2zatKnJfSQiIiJqDN7rjYiIiEgGgxIRERGRDAYlIiIiIhkMSkREREQyGJSIiIiIZDAoEREREclgUCIiIiKSwaBEREREJINBiYiIiEgGgxIRERGRDAYlIiIiIhktfq+3R0ndfelKS0vbuCfUFvR6PSoqKlBaWsq7hxMZGX7+jVvd9/6D7k8LGHlQunPnDgDA2dm5jXtCRERED9udO3eg0WjuW6MQjYlTj6na2lpcv34dHTt2hEKhaOvu0ENWWloKZ2dnXL16FZ06dWrr7hDRQ8TPv3ETQuDOnTtwcnKCicn9j0Iy6hElExMTdO3ata27QW2sU6dO/ENJZKT4+TdeDxpJqsODuYmIiIhkMCgRERERyWBQIqOlVqsxb948qNXqtu4KET1k/PxTYxn1wdxERERE98MRJSIiIiIZDEpEREREMhiUiIiIiGQwKBERERHJYFCix9q0adOgUCjw4YcfGkxPSEjg1diJHkNCCIwcORLBwcH15q1atQoajQZXrlxpg57Ro4pBiR575ubm+Oijj1BUVNTWXSGiVqZQKLBu3TpkZGRgzZo10vScnBy88847+PTTT9GtW7c27CE9ahiU6LE3cuRIaLVaxMbGytZ88803+N3vfge1Wo3u3btj2bJlD7GHRNSSnJ2d8emnnyI6Oho5OTkQQuC1117DiBEj8PTTT2PMmDHo0KEDHBwcEB4ejlu3bknLbtu2DR4eHrCwsICtrS1GjhyJ8vLyNlwbamsMSvTYMzU1xaJFi7BixQrk5ubWm5+ZmYlJkyZh8uTJOHnyJObPn4/33nsP69evf/idJaIWMXXqVIwYMQKvvPIKVq5ciezsbHz66afw8/PDwIEDcfz4cSQmJuLGjRuYNGkSACAvLw8vvfQSXn31VZw5cwYHDx5EaGgoeLlB48YLTtJjbdq0aSguLkZCQgJ8fHzQr18/fPHFF0hISMCECRMghMCUKVNw8+ZNJCUlScu9/fbb2LVrF06dOtWGvSei5igoKIC7uzsKCwuxbds2/Pe//0VGRga+++47qSY3NxfOzs44d+4cysrK4OnpiUuXLsHFxaUNe07tCUeUyGh89NFH2LBhA06fPm0w/cyZM/D19TWY5uvri/Pnz6OmpuZhdpGIWpC9vT2mT5+Ovn37YsKECcjMzMSBAwfQoUMH6dGnTx8AwMWLFzFgwACMGDECHh4eeOGFF7B27Voe20gMSmQ8hg8fjuDgYMydO9dguhCi3hlwHGglejwolUoolUoAQG1tLcaOHYusrCyDx/nz5zF8+HCYmpoiOTkZe/bsQb9+/bBixQq4ubkhJyenjdeC2pKyrTtA9DB9+OGHGDhwIJ588klpWr9+/XDkyBGDutTUVDz55JMwNTV92F0kolYyePBgfPPNN+jevbsUnu6lUCjg6+sLX19fvP/++3BxccH27dsxZ86ch9xbai84okRGxcPDA1OmTMGKFSukaVFRUdi3bx/+/ve/46effsKGDRuwcuVKREdHt2FPiailzZgxA7dv38ZLL72Eo0eP4ueff0ZSUhJeffVV1NTUICMjA4sWLcLx48dx5coVxMfH4+bNm+jbt29bd53aEIMSGZ2///3vBrvWBg8ejH/961/YsmUL3N3d8f777+Nvf/sbpk2b1nadJKIW5+TkhO+//x41NTUIDg6Gu7s73nzzTWg0GpiYmKBTp044fPgwxowZgyeffBJ//etfsWzZMowePbqtu05tiGe9EREREcngiBIRERGRDAYlIiIiIhkMSkREREQyGJSIiIiIZDAoEREREclgUCIiIiKSwaBEREREJINBiYiIiEgGgxIRPXb8/f0xe/bstu4GET0GGJSIqF2bNm0aFAoFFAoFVCoVevTogejoaJSXl8suEx8fj7///e8t2g+FQoGEhIQWbZOI2r+Gb59MRNSOjBo1CuvWrYNer0dKSgr++Mc/ory8HKtXrzao0+v1UKlUsLGxaaOeEtHjhiNKRNTuqdVqaLVaODs7IywsDFOmTEFCQgLmz5+PgQMH4ssvv0SPHj2gVqshhDDY9RYTEwNvb+96bfbv3x/z5s0DABw7dgyBgYGws7ODRqOBn58fTpw4IdV2794dADBhwgQoFArpOQDs2LEDnp6eMDc3R48ePbBgwQJUV1e32ntBRA8XgxIRPXIsLCyg1+sBABcuXMC//vUvfPPNN8jKyqpXO2XKFGRkZODixYvStFOnTuHkyZOYMmUKAODOnTuYOnUqUlJSkJ6ejt69e2PMmDG4c+cOgF+CFACsW7cOeXl50vPvvvsOL7/8MiIjI3H69GmsWbMG69evx8KFC1tz9YnoIWJQIqJHytGjR/H1119jxIgRAICqqips3LgRgwYNQv/+/aFQKAzq3d3d0b9/f3z99dfStLi4ODz11FN48sknAQDPPvssXn75ZfTt2xd9+/bFmjVrUFFRgUOHDgEAunTpAgDo3LkztFqt9HzhwoV49913MXXqVPTo0QOBgYH4+9//jjVr1rT6+0BEDweDEhG1ezt37kSHDh1gbm4OHx8fDB8+HCtWrAAAuLi4SMFFzpQpUxAXFwcAEEJg8+bN0mgSABQUFODPf/4znnzySWg0Gmg0GpSVleHKlSv3bTczMxN/+9vf0KFDB+kRERGBvLw8VFRUNHOtiag94MHcRNTuBQQEYPXq1VCpVHBycoJKpZLmWVlZPXD5sLAwvPvuuzhx4gQqKytx9epVTJ48WZo/bdo03Lx5E5988glcXFygVqvh4+ODqqqq+7ZbW1uLBQsWIDQ0tN48c3PzJqwhEbVXDEpE1O5ZWVmhV69ev3n5rl27Yvjw4YiLi0NlZSVGjhwJBwcHaX5KSgpWrVqFMWPGAACuXr2KW7duGbShUqlQU1NjMG3w4ME4d+5cs/pGRO0bgxIRGYUpU6Zg/vz5qKqqwscff2wwr1evXti4cSOGDBmC0tJSvPXWW7CwsDCo6d69O/bt2wdfX1+o1WpYW1vj/fffR0hICJydnfHCCy/AxMQEP/74I06ePIkPPvjgYa4eEbUSHqNEREbhhRdeQGFhISoqKjB+/HiDeV9++SWKioowaNAghIeHIzIyEvb29gY1y5YtQ3JyMpydnTFo0CAAQHBwMHbu3Ink5GQ89dRT8Pb2xvLly+Hi4vKwVouIWplCCCHauhNERERE7RFHlIiIiIhkMCgRERERyWBQIiIiIpLBoEREREQkg0GJiIiISAaDEhEREZEMBiUiIiIiGQxKRERERDIYlIiIiIhkMCgRERERyWBQIiIiIpLx/wD2FFuljipTWAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.boxplot('Outstate', by= 'Private')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Create a new qualitative variable, called Elite, by binning the Top10perc variable into two groups based on whether or not the proportion of students coming from the top 10% of their high school classes exceeds 50%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Elite'] = pd.cut(data['Top10perc'], bins=[0, 50, 100], labels=['No', 'Yes'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use the value_counts() method of college['Elite'] to see how many elite universities there are. Finally, use the boxplot() method again to produce side-by-side boxplots of Outstate versus Elite."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Top10perc\n",
       "Yes    3\n",
       "No     0\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.Elite.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Outstate'}, xlabel='Elite'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.boxplot('Outstate', by='Elite')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use the plot.hist() method of college to produce some histograms with differing numbers of bins for a few of the quantitative variables. The command plt.subplots(2, 2) may be useful: it will divide the plot window into four regions so that four plots can be made simultaneously. By changing the arguments you can divide the screen up in other combinations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<Axes: title={'center': 'PhD'}>], dtype=object)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pyplot import subplots\n",
    "\n",
    "fig, ax = subplots(2,2)\n",
    "\n",
    "data.hist('Enroll', bins= 5, ax = ax[0,0])\n",
    "data.hist('Books', bins= 4, ax = ax[0,1])\n",
    "data.hist('Personal', bins= 3, ax = ax[1,0])\n",
    "data.hist('PhD', bins= 6, ax = ax[1,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "9. This exercise involves the Auto data set studied in the lab. Make sure that the missing values have been removed from the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Which of the predictors are quantitative, and which are qualitative"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "auto = pd.read_csv('Auto.csv', na_values=['?']).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of       mpg  cylinders  displacement  horsepower  weight  acceleration  year  \\\n",
       "0    18.0          8         307.0         130    3504          12.0    70   \n",
       "1    15.0          8         350.0         165    3693          11.5    70   \n",
       "2    18.0          8         318.0         150    3436          11.0    70   \n",
       "3    16.0          8         304.0         150    3433          12.0    70   \n",
       "4    17.0          8         302.0         140    3449          10.5    70   \n",
       "..    ...        ...           ...         ...     ...           ...   ...   \n",
       "387  27.0          4         140.0          86    2790          15.6    82   \n",
       "388  44.0          4          97.0          52    2130          24.6    82   \n",
       "389  32.0          4         135.0          84    2295          11.6    82   \n",
       "390  28.0          4         120.0          79    2625          18.6    82   \n",
       "391  31.0          4         119.0          82    2720          19.4    82   \n",
       "\n",
       "     origin                       name  \n",
       "0         1  chevrolet chevelle malibu  \n",
       "1         1          buick skylark 320  \n",
       "2         1         plymouth satellite  \n",
       "3         1              amc rebel sst  \n",
       "4         1                ford torino  \n",
       "..      ...                        ...  \n",
       "387       1            ford mustang gl  \n",
       "388       2                  vw pickup  \n",
       "389       1              dodge rampage  \n",
       "390       1                ford ranger  \n",
       "391       1                 chevy s-10  \n",
       "\n",
       "[392 rows x 9 columns]>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auto.head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The type of mpg is float64.\n",
      "The type of cylinders is int64.\n",
      "The type of displacement is float64.\n",
      "The type of horsepower is int64.\n",
      "The type of weight is int64.\n",
      "The type of acceleration is float64.\n",
      "The type of year is int64.\n",
      "The type of origin is int64.\n",
      "The type of name is object.\n"
     ]
    }
   ],
   "source": [
    "for column in auto.columns:\n",
    "    msg = 'The type of {} is {}.'.format(column, auto[column].dtype)\n",
    "    print(msg)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mpg             float64\n",
       "cylinders         int64\n",
       "displacement    float64\n",
       "horsepower        int64\n",
       "weight            int64\n",
       "acceleration    float64\n",
       "year              int64\n",
       "origin            int64\n",
       "name             object\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auto.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- What is the range of each quantitative predictor? You can answer this using the min() and max() methods in numpy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>year</th>\n",
       "      <th>origin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>392.000000</td>\n",
       "      <td>392.000000</td>\n",
       "      <td>392.000000</td>\n",
       "      <td>392.000000</td>\n",
       "      <td>392.000000</td>\n",
       "      <td>392.000000</td>\n",
       "      <td>392.000000</td>\n",
       "      <td>392.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>23.445918</td>\n",
       "      <td>5.471939</td>\n",
       "      <td>194.411990</td>\n",
       "      <td>104.469388</td>\n",
       "      <td>2977.584184</td>\n",
       "      <td>15.541327</td>\n",
       "      <td>75.979592</td>\n",
       "      <td>1.576531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.805007</td>\n",
       "      <td>1.705783</td>\n",
       "      <td>104.644004</td>\n",
       "      <td>38.491160</td>\n",
       "      <td>849.402560</td>\n",
       "      <td>2.758864</td>\n",
       "      <td>3.683737</td>\n",
       "      <td>0.805518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1613.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>2225.250000</td>\n",
       "      <td>13.775000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>22.750000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>151.000000</td>\n",
       "      <td>93.500000</td>\n",
       "      <td>2803.500000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>275.750000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>3614.750000</td>\n",
       "      <td>17.025000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>46.600000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>455.000000</td>\n",
       "      <td>230.000000</td>\n",
       "      <td>5140.000000</td>\n",
       "      <td>24.800000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              mpg   cylinders  displacement  horsepower       weight  \\\n",
       "count  392.000000  392.000000    392.000000  392.000000   392.000000   \n",
       "mean    23.445918    5.471939    194.411990  104.469388  2977.584184   \n",
       "std      7.805007    1.705783    104.644004   38.491160   849.402560   \n",
       "min      9.000000    3.000000     68.000000   46.000000  1613.000000   \n",
       "25%     17.000000    4.000000    105.000000   75.000000  2225.250000   \n",
       "50%     22.750000    4.000000    151.000000   93.500000  2803.500000   \n",
       "75%     29.000000    8.000000    275.750000  126.000000  3614.750000   \n",
       "max     46.600000    8.000000    455.000000  230.000000  5140.000000   \n",
       "\n",
       "       acceleration        year      origin  \n",
       "count    392.000000  392.000000  392.000000  \n",
       "mean      15.541327   75.979592    1.576531  \n",
       "std        2.758864    3.683737    0.805518  \n",
       "min        8.000000   70.000000    1.000000  \n",
       "25%       13.775000   73.000000    1.000000  \n",
       "50%       15.500000   76.000000    1.000000  \n",
       "75%       17.025000   79.000000    2.000000  \n",
       "max       24.800000   82.000000    3.000000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auto.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Now remove the 10th through 85th observations. What is the range, mean, and standard deviation of each predictor in the subset of the data that remains?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "auto_droped = auto.drop(index=np.arange(10,86))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>year</th>\n",
       "      <th>origin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>316.000000</td>\n",
       "      <td>316.000000</td>\n",
       "      <td>316.000000</td>\n",
       "      <td>316.000000</td>\n",
       "      <td>316.00000</td>\n",
       "      <td>316.000000</td>\n",
       "      <td>316.000000</td>\n",
       "      <td>316.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>24.407595</td>\n",
       "      <td>5.373418</td>\n",
       "      <td>187.512658</td>\n",
       "      <td>100.848101</td>\n",
       "      <td>2936.53481</td>\n",
       "      <td>15.717405</td>\n",
       "      <td>77.136076</td>\n",
       "      <td>1.601266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.863285</td>\n",
       "      <td>1.654179</td>\n",
       "      <td>100.114616</td>\n",
       "      <td>35.954147</td>\n",
       "      <td>811.87445</td>\n",
       "      <td>2.713876</td>\n",
       "      <td>3.123464</td>\n",
       "      <td>0.819910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1649.00000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>100.250000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>2213.75000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>23.950000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>145.500000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>2792.50000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>77.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>30.550000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>3508.00000</td>\n",
       "      <td>17.300000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>46.600000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>455.000000</td>\n",
       "      <td>230.000000</td>\n",
       "      <td>4997.00000</td>\n",
       "      <td>24.800000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              mpg   cylinders  displacement  horsepower      weight  \\\n",
       "count  316.000000  316.000000    316.000000  316.000000   316.00000   \n",
       "mean    24.407595    5.373418    187.512658  100.848101  2936.53481   \n",
       "std      7.863285    1.654179    100.114616   35.954147   811.87445   \n",
       "min     11.000000    3.000000     68.000000   46.000000  1649.00000   \n",
       "25%     18.000000    4.000000    100.250000   75.000000  2213.75000   \n",
       "50%     23.950000    4.000000    145.500000   90.000000  2792.50000   \n",
       "75%     30.550000    6.000000    250.000000  115.000000  3508.00000   \n",
       "max     46.600000    8.000000    455.000000  230.000000  4997.00000   \n",
       "\n",
       "       acceleration        year      origin  \n",
       "count    316.000000  316.000000  316.000000  \n",
       "mean      15.717405   77.136076    1.601266  \n",
       "std        2.713876    3.123464    0.819910  \n",
       "min        8.500000   70.000000    1.000000  \n",
       "25%       14.000000   75.000000    1.000000  \n",
       "50%       15.500000   77.000000    1.000000  \n",
       "75%       17.300000   80.000000    2.000000  \n",
       "max       24.800000   82.000000    3.000000  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auto_droped.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Using the full data set, investigate the predictors graphically, using scatterplots or other tools of your choice. Create some plots highlighting the relationships among the predictors. Comment on your findings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 64 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.plotting.scatter_matrix(auto);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Suppose that we wish to predict gas mileage (mpg) on the basis of the other variables. Do your plots suggest that any of the other variables might be useful in predicting mpg? Justify your answer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Displacement, horsepower, weight and acceleration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "10. This exercise involves the Boston housing data set"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- To begin, load in the Boston data set, which is part of the ISLP library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of      Unnamed: 0     crim    zn  indus  chas    nox     rm   age     dis  rad  \\\n",
       "0             1  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1   \n",
       "1             2  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2   \n",
       "2             3  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2   \n",
       "3             4  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3   \n",
       "4             5  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3   \n",
       "..          ...      ...   ...    ...   ...    ...    ...   ...     ...  ...   \n",
       "501         502  0.06263   0.0  11.93     0  0.573  6.593  69.1  2.4786    1   \n",
       "502         503  0.04527   0.0  11.93     0  0.573  6.120  76.7  2.2875    1   \n",
       "503         504  0.06076   0.0  11.93     0  0.573  6.976  91.0  2.1675    1   \n",
       "504         505  0.10959   0.0  11.93     0  0.573  6.794  89.3  2.3889    1   \n",
       "505         506  0.04741   0.0  11.93     0  0.573  6.030  80.8  2.5050    1   \n",
       "\n",
       "     tax  ptratio  lstat  medv  \n",
       "0    296     15.3   4.98  24.0  \n",
       "1    242     17.8   9.14  21.6  \n",
       "2    242     17.8   4.03  34.7  \n",
       "3    222     18.7   2.94  33.4  \n",
       "4    222     18.7   5.33  36.2  \n",
       "..   ...      ...    ...   ...  \n",
       "501  273     21.0   9.67  22.4  \n",
       "502  273     21.0   9.08  20.6  \n",
       "503  273     21.0   5.64  23.9  \n",
       "504  273     21.0   6.48  22.0  \n",
       "505  273     21.0   7.88  11.9  \n",
       "\n",
       "[506 rows x 14 columns]>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "house = pd.read_csv('datasets/Boston.csv')\n",
    "house.head"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- How many rows are in this data set? How many columns? What do the rows and columns represent?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 14 attributes in each case of the dataset. They are:  \n",
    "CRIM - per capita crime rate by town  \n",
    "ZN - proportion of residential land zoned for lots over 25,000 sq.ft.  \n",
    "INDUS - proportion of non-retail business acres per town.  \n",
    "CHAS - Charles River dummy variable (1 if tract bounds river; 0 otherwise)  \n",
    "NOX - nitric oxides concentration (parts per 10 million)  \n",
    "RM - average number of rooms per dwelling  \n",
    "AGE - proportion of owner-occupied units built prior to 1940  \n",
    "DIS - weighted distances to five Boston employment centres  \n",
    "RAD - index of accessibility to radial highways  \n",
    "TAX - full-value property-tax rate per $10,000  \n",
    "PTRATIO - pupil-teacher ratio by town  \n",
    "B - 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town  \n",
    "LSTAT - % lower status of the population  \n",
    "MEDV - Median value of owner-occupied homes in $1000's  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Unnamed: 0', 'crim', 'zn', 'indus', 'chas', 'nox', 'rm', 'age', 'dis',\n",
      "       'rad', 'tax', 'ptratio', 'lstat', 'medv'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(house.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Make some pairwise scatterplots of the predictors (columns) in this data set. Describe your findings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: xlabel='Unnamed: 0', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='crim', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='zn', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='indus', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='chas', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='nox', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='rm', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='age', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='dis', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='rad', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='tax', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='lstat', ylabel='Unnamed: 0'>,\n",
       "        <Axes: xlabel='medv', ylabel='Unnamed: 0'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='crim'>,\n",
       "        <Axes: xlabel='crim', ylabel='crim'>,\n",
       "        <Axes: xlabel='zn', ylabel='crim'>,\n",
       "        <Axes: xlabel='indus', ylabel='crim'>,\n",
       "        <Axes: xlabel='chas', ylabel='crim'>,\n",
       "        <Axes: xlabel='nox', ylabel='crim'>,\n",
       "        <Axes: xlabel='rm', ylabel='crim'>,\n",
       "        <Axes: xlabel='age', ylabel='crim'>,\n",
       "        <Axes: xlabel='dis', ylabel='crim'>,\n",
       "        <Axes: xlabel='rad', ylabel='crim'>,\n",
       "        <Axes: xlabel='tax', ylabel='crim'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='crim'>,\n",
       "        <Axes: xlabel='lstat', ylabel='crim'>,\n",
       "        <Axes: xlabel='medv', ylabel='crim'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='zn'>,\n",
       "        <Axes: xlabel='crim', ylabel='zn'>,\n",
       "        <Axes: xlabel='zn', ylabel='zn'>,\n",
       "        <Axes: xlabel='indus', ylabel='zn'>,\n",
       "        <Axes: xlabel='chas', ylabel='zn'>,\n",
       "        <Axes: xlabel='nox', ylabel='zn'>,\n",
       "        <Axes: xlabel='rm', ylabel='zn'>,\n",
       "        <Axes: xlabel='age', ylabel='zn'>,\n",
       "        <Axes: xlabel='dis', ylabel='zn'>,\n",
       "        <Axes: xlabel='rad', ylabel='zn'>,\n",
       "        <Axes: xlabel='tax', ylabel='zn'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='zn'>,\n",
       "        <Axes: xlabel='lstat', ylabel='zn'>,\n",
       "        <Axes: xlabel='medv', ylabel='zn'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='indus'>,\n",
       "        <Axes: xlabel='crim', ylabel='indus'>,\n",
       "        <Axes: xlabel='zn', ylabel='indus'>,\n",
       "        <Axes: xlabel='indus', ylabel='indus'>,\n",
       "        <Axes: xlabel='chas', ylabel='indus'>,\n",
       "        <Axes: xlabel='nox', ylabel='indus'>,\n",
       "        <Axes: xlabel='rm', ylabel='indus'>,\n",
       "        <Axes: xlabel='age', ylabel='indus'>,\n",
       "        <Axes: xlabel='dis', ylabel='indus'>,\n",
       "        <Axes: xlabel='rad', ylabel='indus'>,\n",
       "        <Axes: xlabel='tax', ylabel='indus'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='indus'>,\n",
       "        <Axes: xlabel='lstat', ylabel='indus'>,\n",
       "        <Axes: xlabel='medv', ylabel='indus'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='chas'>,\n",
       "        <Axes: xlabel='crim', ylabel='chas'>,\n",
       "        <Axes: xlabel='zn', ylabel='chas'>,\n",
       "        <Axes: xlabel='indus', ylabel='chas'>,\n",
       "        <Axes: xlabel='chas', ylabel='chas'>,\n",
       "        <Axes: xlabel='nox', ylabel='chas'>,\n",
       "        <Axes: xlabel='rm', ylabel='chas'>,\n",
       "        <Axes: xlabel='age', ylabel='chas'>,\n",
       "        <Axes: xlabel='dis', ylabel='chas'>,\n",
       "        <Axes: xlabel='rad', ylabel='chas'>,\n",
       "        <Axes: xlabel='tax', ylabel='chas'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='chas'>,\n",
       "        <Axes: xlabel='lstat', ylabel='chas'>,\n",
       "        <Axes: xlabel='medv', ylabel='chas'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='nox'>,\n",
       "        <Axes: xlabel='crim', ylabel='nox'>,\n",
       "        <Axes: xlabel='zn', ylabel='nox'>,\n",
       "        <Axes: xlabel='indus', ylabel='nox'>,\n",
       "        <Axes: xlabel='chas', ylabel='nox'>,\n",
       "        <Axes: xlabel='nox', ylabel='nox'>,\n",
       "        <Axes: xlabel='rm', ylabel='nox'>,\n",
       "        <Axes: xlabel='age', ylabel='nox'>,\n",
       "        <Axes: xlabel='dis', ylabel='nox'>,\n",
       "        <Axes: xlabel='rad', ylabel='nox'>,\n",
       "        <Axes: xlabel='tax', ylabel='nox'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='nox'>,\n",
       "        <Axes: xlabel='lstat', ylabel='nox'>,\n",
       "        <Axes: xlabel='medv', ylabel='nox'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='rm'>,\n",
       "        <Axes: xlabel='crim', ylabel='rm'>,\n",
       "        <Axes: xlabel='zn', ylabel='rm'>,\n",
       "        <Axes: xlabel='indus', ylabel='rm'>,\n",
       "        <Axes: xlabel='chas', ylabel='rm'>,\n",
       "        <Axes: xlabel='nox', ylabel='rm'>,\n",
       "        <Axes: xlabel='rm', ylabel='rm'>,\n",
       "        <Axes: xlabel='age', ylabel='rm'>,\n",
       "        <Axes: xlabel='dis', ylabel='rm'>,\n",
       "        <Axes: xlabel='rad', ylabel='rm'>,\n",
       "        <Axes: xlabel='tax', ylabel='rm'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='rm'>,\n",
       "        <Axes: xlabel='lstat', ylabel='rm'>,\n",
       "        <Axes: xlabel='medv', ylabel='rm'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='age'>,\n",
       "        <Axes: xlabel='crim', ylabel='age'>,\n",
       "        <Axes: xlabel='zn', ylabel='age'>,\n",
       "        <Axes: xlabel='indus', ylabel='age'>,\n",
       "        <Axes: xlabel='chas', ylabel='age'>,\n",
       "        <Axes: xlabel='nox', ylabel='age'>,\n",
       "        <Axes: xlabel='rm', ylabel='age'>,\n",
       "        <Axes: xlabel='age', ylabel='age'>,\n",
       "        <Axes: xlabel='dis', ylabel='age'>,\n",
       "        <Axes: xlabel='rad', ylabel='age'>,\n",
       "        <Axes: xlabel='tax', ylabel='age'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='age'>,\n",
       "        <Axes: xlabel='lstat', ylabel='age'>,\n",
       "        <Axes: xlabel='medv', ylabel='age'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='dis'>,\n",
       "        <Axes: xlabel='crim', ylabel='dis'>,\n",
       "        <Axes: xlabel='zn', ylabel='dis'>,\n",
       "        <Axes: xlabel='indus', ylabel='dis'>,\n",
       "        <Axes: xlabel='chas', ylabel='dis'>,\n",
       "        <Axes: xlabel='nox', ylabel='dis'>,\n",
       "        <Axes: xlabel='rm', ylabel='dis'>,\n",
       "        <Axes: xlabel='age', ylabel='dis'>,\n",
       "        <Axes: xlabel='dis', ylabel='dis'>,\n",
       "        <Axes: xlabel='rad', ylabel='dis'>,\n",
       "        <Axes: xlabel='tax', ylabel='dis'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='dis'>,\n",
       "        <Axes: xlabel='lstat', ylabel='dis'>,\n",
       "        <Axes: xlabel='medv', ylabel='dis'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='rad'>,\n",
       "        <Axes: xlabel='crim', ylabel='rad'>,\n",
       "        <Axes: xlabel='zn', ylabel='rad'>,\n",
       "        <Axes: xlabel='indus', ylabel='rad'>,\n",
       "        <Axes: xlabel='chas', ylabel='rad'>,\n",
       "        <Axes: xlabel='nox', ylabel='rad'>,\n",
       "        <Axes: xlabel='rm', ylabel='rad'>,\n",
       "        <Axes: xlabel='age', ylabel='rad'>,\n",
       "        <Axes: xlabel='dis', ylabel='rad'>,\n",
       "        <Axes: xlabel='rad', ylabel='rad'>,\n",
       "        <Axes: xlabel='tax', ylabel='rad'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='rad'>,\n",
       "        <Axes: xlabel='lstat', ylabel='rad'>,\n",
       "        <Axes: xlabel='medv', ylabel='rad'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='tax'>,\n",
       "        <Axes: xlabel='crim', ylabel='tax'>,\n",
       "        <Axes: xlabel='zn', ylabel='tax'>,\n",
       "        <Axes: xlabel='indus', ylabel='tax'>,\n",
       "        <Axes: xlabel='chas', ylabel='tax'>,\n",
       "        <Axes: xlabel='nox', ylabel='tax'>,\n",
       "        <Axes: xlabel='rm', ylabel='tax'>,\n",
       "        <Axes: xlabel='age', ylabel='tax'>,\n",
       "        <Axes: xlabel='dis', ylabel='tax'>,\n",
       "        <Axes: xlabel='rad', ylabel='tax'>,\n",
       "        <Axes: xlabel='tax', ylabel='tax'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='tax'>,\n",
       "        <Axes: xlabel='lstat', ylabel='tax'>,\n",
       "        <Axes: xlabel='medv', ylabel='tax'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='crim', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='zn', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='indus', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='chas', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='nox', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='rm', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='age', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='dis', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='rad', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='tax', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='lstat', ylabel='ptratio'>,\n",
       "        <Axes: xlabel='medv', ylabel='ptratio'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='lstat'>,\n",
       "        <Axes: xlabel='crim', ylabel='lstat'>,\n",
       "        <Axes: xlabel='zn', ylabel='lstat'>,\n",
       "        <Axes: xlabel='indus', ylabel='lstat'>,\n",
       "        <Axes: xlabel='chas', ylabel='lstat'>,\n",
       "        <Axes: xlabel='nox', ylabel='lstat'>,\n",
       "        <Axes: xlabel='rm', ylabel='lstat'>,\n",
       "        <Axes: xlabel='age', ylabel='lstat'>,\n",
       "        <Axes: xlabel='dis', ylabel='lstat'>,\n",
       "        <Axes: xlabel='rad', ylabel='lstat'>,\n",
       "        <Axes: xlabel='tax', ylabel='lstat'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='lstat'>,\n",
       "        <Axes: xlabel='lstat', ylabel='lstat'>,\n",
       "        <Axes: xlabel='medv', ylabel='lstat'>],\n",
       "       [<Axes: xlabel='Unnamed: 0', ylabel='medv'>,\n",
       "        <Axes: xlabel='crim', ylabel='medv'>,\n",
       "        <Axes: xlabel='zn', ylabel='medv'>,\n",
       "        <Axes: xlabel='indus', ylabel='medv'>,\n",
       "        <Axes: xlabel='chas', ylabel='medv'>,\n",
       "        <Axes: xlabel='nox', ylabel='medv'>,\n",
       "        <Axes: xlabel='rm', ylabel='medv'>,\n",
       "        <Axes: xlabel='age', ylabel='medv'>,\n",
       "        <Axes: xlabel='dis', ylabel='medv'>,\n",
       "        <Axes: xlabel='rad', ylabel='medv'>,\n",
       "        <Axes: xlabel='tax', ylabel='medv'>,\n",
       "        <Axes: xlabel='ptratio', ylabel='medv'>,\n",
       "        <Axes: xlabel='lstat', ylabel='medv'>,\n",
       "        <Axes: xlabel='medv', ylabel='medv'>]], dtype=object)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 196 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.plotting.scatter_matrix(house)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Are any of the predictors associated with per capita crime rate? If so, explain the relationship"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "age, dist, mdev"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Do any of the suburbs of Boston appear to have particularly high crime rates? Tax rates? Pupil-teacher ratios? Comment on the range of each predictor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>253.500000</td>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.363636</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284634</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>9.549407</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.455534</td>\n",
       "      <td>12.653063</td>\n",
       "      <td>22.532806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>146.213884</td>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.322453</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>8.707259</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.164946</td>\n",
       "      <td>7.141062</td>\n",
       "      <td>9.197104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>127.250000</td>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.885500</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>17.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>253.500000</td>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208500</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.050000</td>\n",
       "      <td>11.360000</td>\n",
       "      <td>21.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>379.750000</td>\n",
       "      <td>3.677083</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.623500</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>16.955000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0        crim          zn       indus        chas         nox  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean   253.500000    3.613524   11.363636   11.136779    0.069170    0.554695   \n",
       "std    146.213884    8.601545   23.322453    6.860353    0.253994    0.115878   \n",
       "min      1.000000    0.006320    0.000000    0.460000    0.000000    0.385000   \n",
       "25%    127.250000    0.082045    0.000000    5.190000    0.000000    0.449000   \n",
       "50%    253.500000    0.256510    0.000000    9.690000    0.000000    0.538000   \n",
       "75%    379.750000    3.677083   12.500000   18.100000    0.000000    0.624000   \n",
       "max    506.000000   88.976200  100.000000   27.740000    1.000000    0.871000   \n",
       "\n",
       "               rm         age         dis         rad         tax     ptratio  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     6.284634   68.574901    3.795043    9.549407  408.237154   18.455534   \n",
       "std      0.702617   28.148861    2.105710    8.707259  168.537116    2.164946   \n",
       "min      3.561000    2.900000    1.129600    1.000000  187.000000   12.600000   \n",
       "25%      5.885500   45.025000    2.100175    4.000000  279.000000   17.400000   \n",
       "50%      6.208500   77.500000    3.207450    5.000000  330.000000   19.050000   \n",
       "75%      6.623500   94.075000    5.188425   24.000000  666.000000   20.200000   \n",
       "max      8.780000  100.000000   12.126500   24.000000  711.000000   22.000000   \n",
       "\n",
       "            lstat        medv  \n",
       "count  506.000000  506.000000  \n",
       "mean    12.653063   22.532806  \n",
       "std      7.141062    9.197104  \n",
       "min      1.730000    5.000000  \n",
       "25%      6.950000   17.025000  \n",
       "50%     11.360000   21.200000  \n",
       "75%     16.955000   25.000000  \n",
       "max     37.970000   50.000000  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>144</td>\n",
       "      <td>4.09740</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.58</td>\n",
       "      <td>0</td>\n",
       "      <td>0.871</td>\n",
       "      <td>5.468</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.4118</td>\n",
       "      <td>5</td>\n",
       "      <td>403</td>\n",
       "      <td>14.7</td>\n",
       "      <td>26.42</td>\n",
       "      <td>15.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>357</td>\n",
       "      <td>8.98296</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0.770</td>\n",
       "      <td>6.212</td>\n",
       "      <td>97.4</td>\n",
       "      <td>2.1222</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>17.60</td>\n",
       "      <td>17.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>358</td>\n",
       "      <td>3.84970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0.770</td>\n",
       "      <td>6.395</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.5052</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>13.27</td>\n",
       "      <td>21.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>359</td>\n",
       "      <td>5.20177</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0.770</td>\n",
       "      <td>6.127</td>\n",
       "      <td>83.4</td>\n",
       "      <td>2.7227</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>11.48</td>\n",
       "      <td>22.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>360</td>\n",
       "      <td>4.26131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.770</td>\n",
       "      <td>6.112</td>\n",
       "      <td>81.3</td>\n",
       "      <td>2.5091</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>12.67</td>\n",
       "      <td>22.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>481</td>\n",
       "      <td>5.82401</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.532</td>\n",
       "      <td>6.242</td>\n",
       "      <td>64.7</td>\n",
       "      <td>3.4242</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>10.74</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>482</td>\n",
       "      <td>5.70818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.532</td>\n",
       "      <td>6.750</td>\n",
       "      <td>74.9</td>\n",
       "      <td>3.3317</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>7.74</td>\n",
       "      <td>23.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>483</td>\n",
       "      <td>5.73116</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.532</td>\n",
       "      <td>7.061</td>\n",
       "      <td>77.0</td>\n",
       "      <td>3.4106</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>7.01</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>487</td>\n",
       "      <td>5.69175</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.583</td>\n",
       "      <td>6.114</td>\n",
       "      <td>79.8</td>\n",
       "      <td>3.5459</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>14.98</td>\n",
       "      <td>19.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>488</td>\n",
       "      <td>4.83567</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.583</td>\n",
       "      <td>5.905</td>\n",
       "      <td>53.2</td>\n",
       "      <td>3.1523</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>11.45</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>124 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0     crim   zn  indus  chas    nox     rm    age     dis  rad  \\\n",
       "143         144  4.09740  0.0  19.58     0  0.871  5.468  100.0  1.4118    5   \n",
       "356         357  8.98296  0.0  18.10     1  0.770  6.212   97.4  2.1222   24   \n",
       "357         358  3.84970  0.0  18.10     1  0.770  6.395   91.0  2.5052   24   \n",
       "358         359  5.20177  0.0  18.10     1  0.770  6.127   83.4  2.7227   24   \n",
       "359         360  4.26131  0.0  18.10     0  0.770  6.112   81.3  2.5091   24   \n",
       "..          ...      ...  ...    ...   ...    ...    ...    ...     ...  ...   \n",
       "480         481  5.82401  0.0  18.10     0  0.532  6.242   64.7  3.4242   24   \n",
       "481         482  5.70818  0.0  18.10     0  0.532  6.750   74.9  3.3317   24   \n",
       "482         483  5.73116  0.0  18.10     0  0.532  7.061   77.0  3.4106   24   \n",
       "486         487  5.69175  0.0  18.10     0  0.583  6.114   79.8  3.5459   24   \n",
       "487         488  4.83567  0.0  18.10     0  0.583  5.905   53.2  3.1523   24   \n",
       "\n",
       "     tax  ptratio  lstat  medv  \n",
       "143  403     14.7  26.42  15.6  \n",
       "356  666     20.2  17.60  17.8  \n",
       "357  666     20.2  13.27  21.7  \n",
       "358  666     20.2  11.48  22.7  \n",
       "359  666     20.2  12.67  22.6  \n",
       "..   ...      ...    ...   ...  \n",
       "480  666     20.2  10.74  23.0  \n",
       "481  666     20.2   7.74  23.7  \n",
       "482  666     20.2   7.01  25.0  \n",
       "486  666     20.2  14.98  19.1  \n",
       "487  666     20.2  11.45  20.6  \n",
       "\n",
       "[124 rows x 14 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.loc[lambda df: df['crim'] > 3.7]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- How many of the suburbs in this data set bound the Charles river"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    35\n",
       "crim          35\n",
       "zn            35\n",
       "indus         35\n",
       "chas          35\n",
       "nox           35\n",
       "rm            35\n",
       "age           35\n",
       "dis           35\n",
       "rad           35\n",
       "tax           35\n",
       "ptratio       35\n",
       "lstat         35\n",
       "medv          35\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.loc[lambda df: df['chas'] == 1].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- What is the median pupil-teacher ratio among the towns in this data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19.05"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house['ptratio'].median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Which suburb of Boston has lowest median value of owneroccupied homes? What are the values of the other predictors for that suburb, and how do those values compare to the overall ranges for those predictors? Comment on your finding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
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       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>399</td>\n",
       "      <td>38.3518</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.693</td>\n",
       "      <td>5.453</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.4896</td>\n",
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       "      <td>30.59</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>406</td>\n",
       "      <td>67.9208</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.693</td>\n",
       "      <td>5.683</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.4254</td>\n",
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       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>22.98</td>\n",
       "      <td>5.0</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "     Unnamed: 0     crim   zn  indus  chas    nox     rm    age     dis  rad  \\\n",
       "398         399  38.3518  0.0   18.1     0  0.693  5.453  100.0  1.4896   24   \n",
       "405         406  67.9208  0.0   18.1     0  0.693  5.683  100.0  1.4254   24   \n",
       "\n",
       "     tax  ptratio  lstat  medv  \n",
       "398  666     20.2  30.59   5.0  \n",
       "405  666     20.2  22.98   5.0  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min = house['medv'].min()\n",
    "house.loc[lambda df: df['medv'] == min]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "398"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house['medv'].argmin()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    399.0000\n",
       "crim           38.3518\n",
       "zn              0.0000\n",
       "indus          18.1000\n",
       "chas            0.0000\n",
       "nox             0.6930\n",
       "rm              5.4530\n",
       "age           100.0000\n",
       "dis             1.4896\n",
       "rad            24.0000\n",
       "tax           666.0000\n",
       "ptratio        20.2000\n",
       "lstat          30.5900\n",
       "medv            5.0000\n",
       "Name: 398, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.iloc[398]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- In this data set, how many of the suburbs average more than seven rooms per dwelling? More than eight rooms per dwelling? Comment on the suburbs that average more than eight rooms per dwelling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    64\n",
       "crim          64\n",
       "zn            64\n",
       "indus         64\n",
       "chas          64\n",
       "nox           64\n",
       "rm            64\n",
       "age           64\n",
       "dis           64\n",
       "rad           64\n",
       "tax           64\n",
       "ptratio       64\n",
       "lstat         64\n",
       "medv          64\n",
       "dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.loc[lambda df: df['rm'] > 7].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    13\n",
       "crim          13\n",
       "zn            13\n",
       "indus         13\n",
       "chas          13\n",
       "nox           13\n",
       "rm            13\n",
       "age           13\n",
       "dis           13\n",
       "rad           13\n",
       "tax           13\n",
       "ptratio       13\n",
       "lstat         13\n",
       "medv          13\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.loc[lambda df: df['rm'] > 8].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
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       "        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>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>98</td>\n",
       "      <td>0.12083</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.89</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4450</td>\n",
       "      <td>8.069</td>\n",
       "      <td>76.0</td>\n",
       "      <td>3.4952</td>\n",
       "      <td>2</td>\n",
       "      <td>276</td>\n",
       "      <td>18.0</td>\n",
       "      <td>4.21</td>\n",
       "      <td>38.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>164</td>\n",
       "      <td>1.51902</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.58</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6050</td>\n",
       "      <td>8.375</td>\n",
       "      <td>93.9</td>\n",
       "      <td>2.1620</td>\n",
       "      <td>5</td>\n",
       "      <td>403</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3.32</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>205</td>\n",
       "      <td>0.02009</td>\n",
       "      <td>95.0</td>\n",
       "      <td>2.68</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4161</td>\n",
       "      <td>8.034</td>\n",
       "      <td>31.9</td>\n",
       "      <td>5.1180</td>\n",
       "      <td>4</td>\n",
       "      <td>224</td>\n",
       "      <td>14.7</td>\n",
       "      <td>2.88</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>225</td>\n",
       "      <td>0.31533</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5040</td>\n",
       "      <td>8.266</td>\n",
       "      <td>78.3</td>\n",
       "      <td>2.8944</td>\n",
       "      <td>8</td>\n",
       "      <td>307</td>\n",
       "      <td>17.4</td>\n",
       "      <td>4.14</td>\n",
       "      <td>44.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>226</td>\n",
       "      <td>0.52693</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5040</td>\n",
       "      <td>8.725</td>\n",
       "      <td>83.0</td>\n",
       "      <td>2.8944</td>\n",
       "      <td>8</td>\n",
       "      <td>307</td>\n",
       "      <td>17.4</td>\n",
       "      <td>4.63</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>227</td>\n",
       "      <td>0.38214</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5040</td>\n",
       "      <td>8.040</td>\n",
       "      <td>86.5</td>\n",
       "      <td>3.2157</td>\n",
       "      <td>8</td>\n",
       "      <td>307</td>\n",
       "      <td>17.4</td>\n",
       "      <td>3.13</td>\n",
       "      <td>37.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>233</td>\n",
       "      <td>0.57529</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5070</td>\n",
       "      <td>8.337</td>\n",
       "      <td>73.3</td>\n",
       "      <td>3.8384</td>\n",
       "      <td>8</td>\n",
       "      <td>307</td>\n",
       "      <td>17.4</td>\n",
       "      <td>2.47</td>\n",
       "      <td>41.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>234</td>\n",
       "      <td>0.33147</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5070</td>\n",
       "      <td>8.247</td>\n",
       "      <td>70.4</td>\n",
       "      <td>3.6519</td>\n",
       "      <td>8</td>\n",
       "      <td>307</td>\n",
       "      <td>17.4</td>\n",
       "      <td>3.95</td>\n",
       "      <td>48.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>254</td>\n",
       "      <td>0.36894</td>\n",
       "      <td>22.0</td>\n",
       "      <td>5.86</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>8.259</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.9067</td>\n",
       "      <td>7</td>\n",
       "      <td>330</td>\n",
       "      <td>19.1</td>\n",
       "      <td>3.54</td>\n",
       "      <td>42.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>258</td>\n",
       "      <td>0.61154</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.97</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6470</td>\n",
       "      <td>8.704</td>\n",
       "      <td>86.9</td>\n",
       "      <td>1.8010</td>\n",
       "      <td>5</td>\n",
       "      <td>264</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.12</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>263</td>\n",
       "      <td>0.52014</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.97</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6470</td>\n",
       "      <td>8.398</td>\n",
       "      <td>91.5</td>\n",
       "      <td>2.2885</td>\n",
       "      <td>5</td>\n",
       "      <td>264</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.91</td>\n",
       "      <td>48.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>268</td>\n",
       "      <td>0.57834</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.97</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5750</td>\n",
       "      <td>8.297</td>\n",
       "      <td>67.0</td>\n",
       "      <td>2.4216</td>\n",
       "      <td>5</td>\n",
       "      <td>264</td>\n",
       "      <td>13.0</td>\n",
       "      <td>7.44</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>365</td>\n",
       "      <td>3.47428</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0.7180</td>\n",
       "      <td>8.780</td>\n",
       "      <td>82.9</td>\n",
       "      <td>1.9047</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>5.29</td>\n",
       "      <td>21.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0     crim    zn  indus  chas     nox     rm   age     dis  rad  \\\n",
       "97           98  0.12083   0.0   2.89     0  0.4450  8.069  76.0  3.4952    2   \n",
       "163         164  1.51902   0.0  19.58     1  0.6050  8.375  93.9  2.1620    5   \n",
       "204         205  0.02009  95.0   2.68     0  0.4161  8.034  31.9  5.1180    4   \n",
       "224         225  0.31533   0.0   6.20     0  0.5040  8.266  78.3  2.8944    8   \n",
       "225         226  0.52693   0.0   6.20     0  0.5040  8.725  83.0  2.8944    8   \n",
       "226         227  0.38214   0.0   6.20     0  0.5040  8.040  86.5  3.2157    8   \n",
       "232         233  0.57529   0.0   6.20     0  0.5070  8.337  73.3  3.8384    8   \n",
       "233         234  0.33147   0.0   6.20     0  0.5070  8.247  70.4  3.6519    8   \n",
       "253         254  0.36894  22.0   5.86     0  0.4310  8.259   8.4  8.9067    7   \n",
       "257         258  0.61154  20.0   3.97     0  0.6470  8.704  86.9  1.8010    5   \n",
       "262         263  0.52014  20.0   3.97     0  0.6470  8.398  91.5  2.2885    5   \n",
       "267         268  0.57834  20.0   3.97     0  0.5750  8.297  67.0  2.4216    5   \n",
       "364         365  3.47428   0.0  18.10     1  0.7180  8.780  82.9  1.9047   24   \n",
       "\n",
       "     tax  ptratio  lstat  medv  \n",
       "97   276     18.0   4.21  38.7  \n",
       "163  403     14.7   3.32  50.0  \n",
       "204  224     14.7   2.88  50.0  \n",
       "224  307     17.4   4.14  44.8  \n",
       "225  307     17.4   4.63  50.0  \n",
       "226  307     17.4   3.13  37.6  \n",
       "232  307     17.4   2.47  41.7  \n",
       "233  307     17.4   3.95  48.3  \n",
       "253  330     19.1   3.54  42.8  \n",
       "257  264     13.0   5.12  50.0  \n",
       "262  264     13.0   5.91  48.8  \n",
       "267  264     13.0   7.44  50.0  \n",
       "364  666     20.2   5.29  21.9  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.loc[lambda df: df['rm'] > 8]"
   ]
  }
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