{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "tips = sns.load_dataset(\"tips\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Private', 'Apps', 'Accept', 'Enroll', 'Top10perc', 'Top25perc',\n",
       "       'F.Undergrad', 'P.Undergrad', 'Outstate', 'Room.Board', 'Books',\n",
       "       'Personal', 'PhD', 'Terminal', 'S.F.Ratio', 'perc.alumni', 'Expend',\n",
       "       'Grad.Rate'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "college = pd.read_csv(\"./../datasets/College.csv\")\n",
    "college.set_index(\"Unnamed: 0\", inplace=True)\n",
    "college.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "        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>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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "college.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Private</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",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Abilene Christian University</th>\n",
       "      <td>Yes</td>\n",
       "      <td>1660</td>\n",
       "      <td>1232</td>\n",
       "      <td>721</td>\n",
       "      <td>23</td>\n",
       "      <td>52</td>\n",
       "      <td>2885</td>\n",
       "      <td>537</td>\n",
       "      <td>7440</td>\n",
       "      <td>3300</td>\n",
       "      <td>450</td>\n",
       "      <td>2200</td>\n",
       "      <td>70</td>\n",
       "      <td>78</td>\n",
       "      <td>18.1</td>\n",
       "      <td>12</td>\n",
       "      <td>7041</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adelphi University</th>\n",
       "      <td>Yes</td>\n",
       "      <td>2186</td>\n",
       "      <td>1924</td>\n",
       "      <td>512</td>\n",
       "      <td>16</td>\n",
       "      <td>29</td>\n",
       "      <td>2683</td>\n",
       "      <td>1227</td>\n",
       "      <td>12280</td>\n",
       "      <td>6450</td>\n",
       "      <td>750</td>\n",
       "      <td>1500</td>\n",
       "      <td>29</td>\n",
       "      <td>30</td>\n",
       "      <td>12.2</td>\n",
       "      <td>16</td>\n",
       "      <td>10527</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adrian College</th>\n",
       "      <td>Yes</td>\n",
       "      <td>1428</td>\n",
       "      <td>1097</td>\n",
       "      <td>336</td>\n",
       "      <td>22</td>\n",
       "      <td>50</td>\n",
       "      <td>1036</td>\n",
       "      <td>99</td>\n",
       "      <td>11250</td>\n",
       "      <td>3750</td>\n",
       "      <td>400</td>\n",
       "      <td>1165</td>\n",
       "      <td>53</td>\n",
       "      <td>66</td>\n",
       "      <td>12.9</td>\n",
       "      <td>30</td>\n",
       "      <td>8735</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agnes Scott College</th>\n",
       "      <td>Yes</td>\n",
       "      <td>417</td>\n",
       "      <td>349</td>\n",
       "      <td>137</td>\n",
       "      <td>60</td>\n",
       "      <td>89</td>\n",
       "      <td>510</td>\n",
       "      <td>63</td>\n",
       "      <td>12960</td>\n",
       "      <td>5450</td>\n",
       "      <td>450</td>\n",
       "      <td>875</td>\n",
       "      <td>92</td>\n",
       "      <td>97</td>\n",
       "      <td>7.7</td>\n",
       "      <td>37</td>\n",
       "      <td>19016</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska Pacific University</th>\n",
       "      <td>Yes</td>\n",
       "      <td>193</td>\n",
       "      <td>146</td>\n",
       "      <td>55</td>\n",
       "      <td>16</td>\n",
       "      <td>44</td>\n",
       "      <td>249</td>\n",
       "      <td>869</td>\n",
       "      <td>7560</td>\n",
       "      <td>4120</td>\n",
       "      <td>800</td>\n",
       "      <td>1500</td>\n",
       "      <td>76</td>\n",
       "      <td>72</td>\n",
       "      <td>11.9</td>\n",
       "      <td>2</td>\n",
       "      <td>10922</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Private  Apps  Accept  Enroll  Top10perc  \\\n",
       "Unnamed: 0                                                              \n",
       "Abilene Christian University     Yes  1660    1232     721         23   \n",
       "Adelphi University               Yes  2186    1924     512         16   \n",
       "Adrian College                   Yes  1428    1097     336         22   \n",
       "Agnes Scott College              Yes   417     349     137         60   \n",
       "Alaska Pacific University        Yes   193     146      55         16   \n",
       "\n",
       "                              Top25perc  F.Undergrad  P.Undergrad  Outstate  \\\n",
       "Unnamed: 0                                                                    \n",
       "Abilene Christian University         52         2885          537      7440   \n",
       "Adelphi University                   29         2683         1227     12280   \n",
       "Adrian College                       50         1036           99     11250   \n",
       "Agnes Scott College                  89          510           63     12960   \n",
       "Alaska Pacific University            44          249          869      7560   \n",
       "\n",
       "                              Room.Board  Books  Personal  PhD  Terminal  \\\n",
       "Unnamed: 0                                                                 \n",
       "Abilene Christian University        3300    450      2200   70        78   \n",
       "Adelphi University                  6450    750      1500   29        30   \n",
       "Adrian College                      3750    400      1165   53        66   \n",
       "Agnes Scott College                 5450    450       875   92        97   \n",
       "Alaska Pacific University           4120    800      1500   76        72   \n",
       "\n",
       "                              S.F.Ratio  perc.alumni  Expend  Grad.Rate  \n",
       "Unnamed: 0                                                               \n",
       "Abilene Christian University       18.1           12    7041         60  \n",
       "Adelphi University                 12.2           16   10527         56  \n",
       "Adrian College                     12.9           30    8735         54  \n",
       "Agnes Scott College                 7.7           37   19016         59  \n",
       "Alaska Pacific University          11.9            2   10922         15  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "college.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.violinplot(x=\"Private\", y=\"Outstate\", data=college)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(x=\"Private\", y=\"Outstate\", data=college)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "sep =pd.cut(college.Top10perc, pd.interval_range(start=0, end=100, periods=2), labels=[\"Not elite\", \"Elite\"])\n",
    "college[\"Elite\"] = sep "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.violinplot(x=\"Elite\", y=\"Outstate\", data=college)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Index(['Private', 'Apps', 'Accept', 'Enroll', 'Top10perc', 'Top25perc',\n",
    "#        'F.Undergrad', 'P.Undergrad', 'Outstate', 'Room.Board', 'Books',\n",
    "#        'Personal', 'PhD', 'Terminal', 'S.F.Ratio', 'perc.alumni', 'Expend',\n",
    "#        'Grad.Rate'],\n",
    "#       dtype='object')\n",
    "ax = sns.distplot(college.Apps)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff45d0085e0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dacjuKSFE/JHQiBLdexkANW0GWBR0CQ0hRByS0IgSfaAPiy0Fi6Kg2FJk95QQIi5JaESJ7r2MYk8FwGJLRpOzp4QQcUhCI0r0gb5QaCj2FPTLMtMQQsQfCY0o0b19KPYUACxWe+gYhxBCxBMJjSjRB67unlKSbOg+CQ0hRPwxFRqNjY2Ul5dTXFxMeXk5TU1NQ/pomkZVVRVFRUWsXLky7E5/423r7OzkscceY/Xq1dx7771s3bqVQCA+b5mq+waw2K6daQzEeERCCHH9TIVGZWUlGzZs4Pe//z0bNmygoqJiSJ99+/bR3NzM/v37+e1vf8szzzzD+fPnJ9T27LPPUlBQwL59+3j11Vf585//zP79+yer9qgy/F6UJBsAliQb6AH0gCxaKISIL2OGRmdnJw0NDZSWlgJQWlpKQ0MDHo8nrF9NTQ3r169HURQcDgdFRUXU1tZOqM1isdDX14eu6/h8Pvx+Pzk5OZP6BkSFYWAEvFis14QGwV1WQggRT8YMDbfbTU5ODqqqAqCqKtnZ2bjd7iH9cnNzQ8+dTietra0Tavubv/kbGhsbueuuu0JfS5YsGW+tsaP5geBuqeC/V0LjytIiQggRL5JiPYDR1NbWsmDBAp5//nn6+vrYuHEjtbW1lJSUmH6N+vr6CI7QHIsW3A3l0wx6e3vpuHiJZKDhvXfQprfGdnDjUFdXF+shTIpEqQMSp5ZEqQMSq5ZrjRkaTqeTtrY2NE1DVVU0TaO9vR2n0zmkX0tLC4sWLQLCZxDjbXvhhRf4x3/8RxRFISMjgxUrVvDmm29eV2gUFhZit9tN94+Edw/9BwAp6ZmkpqeD8wYuNddxy41zSJ2/OKZju151dXXxOdv7lESpAxKnlkSpA+K7Fq/XO+of22PunsrKysLlclFdXQ1AdXU1LpcLh8MR1q+kpIQ9e/ag6zoej4cDBw5QXFw8oba8vDwOHToEgM/n44033uDmm28ex9sQWxbZPSWESBCmdk9t3bqVLVu2sHPnTjIzM9m+fTsAGzduZPPmzSxcuJCysjKOHz/OqlWrANi0aRP5+fkA42773ve+R2VlJatXr0bTND7/+c/zwAMPTGL5UXJl95QldPZUMDzkQLgQIt6YCo2CgoKw6ycG7dq1K/RYVVWqqqqG3X68bXPmzOG5554zM8QpzXLl1NrQTGPw7Cm5KlwIEWfkivAoGNw9pYRCwwpYZPeUECLuSGhEweDZU6HrNCyW4Eq3vZdiOSwhhLhuEhpRENo9lXT1LC7FlozW3x2rIQkhxLhIaETDp3ZPAVisyRh+b6xGJIQQ4yKhEQUWzQcWC6hXzztQbHZ0X38MRyWEENdPQiMKLAEfFqsdi8Vy9XvWZAyfrHQrhIgvEhpRYNH8YbumIHhMQ5fQEELEGQmNKLAEfGEHwSE405DQEELEGwmNaND8oQv7Bik2u+yeEkLEHQmNKLBovtA1GqHvWe0YAS+GrsVoVEIIcf0kNKLAogVCS4cMUqzJALKLSggRVyQ0okH3h271OshiC4aGIetPCSHiiIRGFFg0/5X1pq4KzTS8cq2GECJ+SGhEgWWYA+EW25Xl0X0y0xBCxA8JjWgY5piGRWYaQog4JKERBRbNN/RAuG0wNGSmIYSIHxIaEWZoASyGPsxM48ruKQkNIUQcMRUajY2NlJeXU1xcTHl5OU1NTUP6aJpGVVUVRUVFrFy5MuxOf+NtA6ipqWH16tWUlpayevVqOjo6xllqbBhXlkVXrCPNNGT3lBAifpi63WtlZSUbNmygrKyMvXv3UlFRwe7du8P67Nu3j+bmZvbv309XVxdr1qxh2bJl5OXljbvt5MmT/PznP+f5559n1qxZ9PT0YLPZRhjl1KRfWf5cZhpCiEQw5kyjs7OThoYGSktLASgtLaWhoQGPxxPWr6amhvXr16MoCg6Hg6KiImprayfU9qtf/YpHHnmEWbNmAZCRkYHdHn4W0lRnjBQaFiW4/pSEhhAijowZGm63m5ycHFRVBUBVVbKzs3G73UP65ebmhp47nU5aW1sn1PbRRx9x7tw5vv71r7N27Vp27tyJYRjjrTUmRgoNAMWeIrunhBBxxdTuqVjRNI3Tp0/z3HPP4fP5ePTRR8nNzWXNmjWmX6O+vj6CIxyb2vUJmUBXbx/pvb0AtDQ3kzstF82ShKftE87V1cV0jNerLs7GO5JEqQMSp5ZEqQMSq5ZrjRkaTqeTtrY2NE1DVVU0TaO9vR2n0zmkX0tLC4sWLQLCZxDjbcvNzaWkpASbzYbNZuOee+7hxIkT1xUahYWFMd2l1d9kw30UHLNysKWnAzB3zhzs6en0p2WQkmzj1iVLYja+61VXV8eSOBrvSBKlDkicWhKlDojvWrxe76h/bI+5eyorKwuXy0V1dTUA1dXVuFwuHA5HWL+SkhL27NmDrut4PB4OHDhAcXHxhNpKS0s5cuQIhmHg9/s5evQot9566/jeiRgx/MGzp4bdPWVLlt1TQoi4Ymr31NatW9myZQs7d+4kMzOT7du3A7Bx40Y2b97MwoULKSsr4/jx46xatQqATZs2kZ+fDzDutvvvv5/6+nruu+8+FEXhrrvu4qtf/eoklh95eiB4TOPTCxYCWGwpaL1d0R6SEEKMm6nQKCgoGHL9BMCuXbtCj1VVpaqqatjtx9umKApPPvkkTz75pJlhTkmhA+HW4WYaKXL2lBAirsgV4RGm+0Y5e8omp9wKIeKLhEaEGYGRQ8NiS8EI+DC0QLSHJYQQ4yKhEWGjXqchS4kIIeKMhEaE6X4vhqJiUYa+1YotJdhH7qkhhIgTEhoRZvi9GOrw62VZ7FdCY0BCQwgRHyQ0Iszwe0Ed/iS10EzD2xfNIQkhxLhJaERYcPeUddg2xZ4a7DMgoSGEiA8SGhEW3D0loSGESAwSGhEW3D01emhoA73RHJIQQoybhEaE6X7fiDMNkpIAC1rPxaiOSQghxmtKL42eCAz/AIY6/Cq7ms8LSVYGerpo91w9gyolOYmM1Pi6Q6EQ4i+DhEaE6X4vRnI6voCGHtAB6LnswxLQMQyDgMWK1t3NR6fbQ9v81YJsCQ0hxJQku6cizPD7QLXiDxj09fvo6/fR3NpDX78PwwBDsWLxyxXhQoj4IKERYcHdUyNP6HTVBv6BKI5ICCHGT0IjwnS/b8TrNEBmGkKI+CKhEUGGFgA9AEkjh4au2sAnoSGEiA8SGhE0uMLtWDMNZKYhhIgTpkKjsbGR8vJyiouLKS8vp6mpaUgfTdOoqqqiqKiIlStXht3pb7xtg86ePcvixYtDt5mNF/qV+4OPeJ0GwZmGRQ9g0XzRGpYQQoybqVNuKysr2bBhA2VlZezdu5eKigp2794d1mffvn00Nzezf/9+urq6WLNmDcuWLSMvL2/cbRAMlcrKSoqKiia/+ggbvAHTSFeEA6FrOFR/H4ERVsMVQoipYsyZRmdnJw0NDZSWlgJQWlpKQ0MDHo8nrF9NTQ3r169HURQcDgdFRUXU1tZOqA3gF7/4BXfffTfz5s2brJqjRvcFz4oaa6YBwdAQQoipbszQcLvd5OTkoKoqAKqqkp2djdvtHtIvNzc39NzpdNLa2jqhtlOnTnHkyBG+8Y1vjLO82DICZnZPXZlp+CQ0hBBT35S9Itzv9/ODH/yAH/3oR6HAGo/6+vpJHNX1SepsIgNATaK3txfNG9xd1enxkOv1Yk9S8PT24wAutjbR2he8/atzmsa5xq6YjXssdXV1sR7CpEiUOiBxakmUOiCxarnWmKHhdDppa2tD0zRUVUXTNNrb23E6nUP6tbS0sGjRIiB8BjGetgsXLtDc3Mxjjz0GQHd3N4Zh0Nvby1NPPWW6wMLCQuz24dd+irS+Mzptb4Oh2khPT2eA4DIiWQ4HdrsdRVXJzMqBi5CTmYI9fy4AztnZZDsKYjLmsdTV1bFkyZJYD2PCEqUOSJxaEqUOiO9avF7vqH9sj7l7KisrC5fLRXV1NQDV1dW4XC4cDkdYv5KSEvbs2YOu63g8Hg4cOEBxcfG423Jzc3nzzTc5ePAgBw8e5OGHH+aBBx64rsCINcM/eExj5APchmLFsCiye0oIERdM7Z7aunUrW7ZsYefOnWRmZoZOfd24cSObN29m4cKFlJWVcfz4cVatWgXApk2byM/PBxh3W7wLHQgf5eI+LBawpcqBcCFEXDAVGgUFBcNeP7Fr167QY1VVqaqqGnb78bZd6/HHHzcz1CllMDQY41RaQ0JDCBEn5IrwCDJMnHILgC0N1S937xNCTH0SGhGk+wewqFZQRj77K6DDhQEret+lKI5MCCHGR0IjggzfABZb8ojt75/v43+dSOZUp4Lq7ab+bGcURyeEENdvyl6nkQh03wDKCKHxuzcu8Pv3PEyzw003O0lpOcUb7zRiIXjnPiGEmIpkphFBuq9/2JmGp9/C/vc8fPHWaTy2eICc2bMAuDVH4fV3zvPHEy3RHqoQQpgioRFBht+LYh0aGnVtSSgKfG35bKwqGCmZANxzWwY3zErjxd+fortPVr0VQkw9EhoRNNzuqQG/zon2JJYUZDAjLXhWlZEcDA27v4fln8nD59P4t9c/jPp4hRBiLBIaETTcgfA3Tl/Cq1lYUTjj6jevhEaSr5usacl87vbZVB85S1ePN5rDFUKIMUloRJDuH0CxpYSeG4bBwZNdONM05udcEyZJdnTVhurtBuAry+fj82u8LLMNIcQUI6ERQYZvAMs1xzTeP3+Z1i4fS50BLBbL1Y4WCwH7NKwDFwGYnZXG3Uvyee2PjVzsHoj2sIUQYkQSGhH06WMa/3nyIhkpKq4sbUhff0oW1oGrN7YqX3kLAU3ndwc/iMpYhRDCDAmNCDEMHcN/9ZhGT3+Ak8193HXrNJKGedf9yVlY+zvAMADInZnOiiX51B79mEu9cmxDCDE1SGhEiOEP/qIfnGmcaLyEYcAdN6YP29+XkoUaGEAJ9Ie+t+7LN+Hza7z2x8bID1gIIUyQ0IgQ3Rv85T94ncZ7H3WRmaIyN3vodRuZKSqZWVkAWPuvLiWSn5PB52+fTfWRRga8gSiMWgghRiehESG69zIASnIamm5wovESC+emo1x7APwKRfehpgZPu7X2d4S1rfvyTfRc9nHg7ebID1oIIcYgoREh+kDw/hhKchrNF7xc9mosmps2Yv/0mdkYWJipXwj7/m03ZuGa5+CVP3yEpukRHbMQQoxFQiNCQjMNeypnPhkgSbVwW/7IoaEqoFnTSLr0yZC2tXffRJvnMn864Y7YeIUQwgxTodHY2Eh5eTnFxcWUl5fT1NQ0pI+maVRVVVFUVMTKlSvD7vQ33rYdO3Zw//33s3r1atatW8fhw4cnUGp0XTvTOPPJAK78DJKto7/dAfs0LN2tBDSdds/l0NeNuZk4s9L43X99gHHl7CohhIgFU0ujV1ZWsmHDBsrKyti7dy8VFRXs3r07rM++fftobm5m//79dHV1sWbNGpYtW0ZeXt642xYtWsQjjzxCSkoKp06d4sEHH+TIkSMkJ498j4qpYnCm0d5r0NkT4P7PTR9zm4B9GvbO9xnov8yZTy6HtZUsm8dz1X/maH0ryxY6IzJmIYQYy5gzjc7OThoaGigtLQWgtLSUhoYGPB5PWL+amhrWr1+Poig4HA6Kioqora2dUNvy5ctJSQkuw7FgwQIMw6Crq2vyqo+gwZlG3dkeAO4oMBcaFgzwnB/StmzhbG6Ylc6Lte+j6TLbEELExpgzDbfbTU5ODqoavGWpqqpkZ2fjdrtxOBxh/XJzc0PPnU4nra2tE2q71iuvvMKcOXOYPXv2dRVYX19/Xf0nS/LHZ0m2KBx4+2Oyp1tJVv14vcFrNzo9HnK9XuxJSugxQJtXYTrgPVfPx5fnhr2ec5rGslts/O6PHnb/2xEWzUuNdkkhdXV1MfvZkylR6oDEqSVR6oDEquVacXHnvrfeeouf/vSn/PKXv7zubQsLC7Hb7REY1eg62uvoSU7jnNvPslvTSU9PZ4Dg2U9ZDgd2ux1FVUOPAabPdGJ4Z2K/+DFzb/5S2Os5Z2ez8Nb51DW+zhtnvDy05oskqdE/j6Guro4lS5ZE/edOtkSpAxKnlkSpA+K7Fq/XO+of22P+1nE6nbS1tT0d4zUAABOgSURBVKFpwfWSNE2jvb0dp9M5pF9Ly9U7zrnd7tCsYLxtAO+++y7f/e532bFjB/Pnzx9ruFOG7r2Mz2JH0w0W5Jk/BqNn3QhtZ0APX58qoOl0dPVT+sX5uDv6+LfXP6TnstyoSQgRXWOGRlZWFi6Xi+rqagCqq6txuVxhu6YASkpK2LNnD7qu4/F4OHDgAMXFxRNqO3HiBN/+9rf52c9+xu233z6phUeaNtBHTyCJ6el2bsiymd5Oz1kAvsukdn0EwA3TLNwwzYLXr/HO6XY0XSfHkcrL//WhrIArhIg6U/s3tm7dygsvvEBxcTEvvPACVVVVAGzcuJGTJ08CUFZWRl5eHqtWreKBBx5g06ZN5OfnT6itqqqKgYEBKioqKCsro6ysjNOnT0/6mxAJ2kAfnn4Ln70tZ9irwEeSPvc2sCaTc/FdAKyGD6txdUZhsVj44qJcevv9vPRfcr8NIUR0mTqmUVBQEHb9xKBdu3aFHquqGgqTTxtv20svvWRmeFNSf083fZqVLxQ6YWDoBXsjURUD+9yFGI3voubfBwzdteWcmcaim2Zy8Ng5Vn5uDoUFMydx5EIIMTK5IjxCApd7GMDOopuv/xd6SuHdoAVwNB0Aggsapuvd3DDt6ozlC4WzmTk9hZ/99j0GfLKYoRAiOiQ0IkDXNaz+PtJmZJFsu/4T1NTMWeg3foHp5/+Ipf0DFN1HzwfvhO2msiapfPP+23B39vHCv5+azOELIcSIJDQioKnJjWIxyLnh+q4puZZ2+7340rJJevvX6L2eYfvcOs/Bvcvm8erhj/jTiZZh+wghxGSS0IiAkyfPAjBvft74XyTJRsvCRwAd7x9fHHIK7qBHvnI7t8yZwf98sY73G4cPFyGEmCwSGhHwwYfBe19kZk3sALU/dSaBJV/D6GqF5veG7ZNsS+IHj3yemdNTeOqXRznf3jOhnymEEKOR0JhkrZ19dHcEb6Skpo293tRYjNm3os5fCi0NWLqHLq8CMC3dztaNy1AUC1t3HaW1s2/CP1cIIYYjoTHJat9oYpoSvOhuMkIDwLaoGJKsqCerYYSl0Z0z06j4H1+gr9/P//3TQ/z5bOew/YQQYiIkNCaRz6/xH281syBbBYuCkjLyTZeuh8WeCvmLUS58SFrn+6Hvf/q+G9PT7VQ9toyMVCvff/ZPHDwmt4gVQkwuCY1J9McTLXT3+bhppoKaNg2LZRLf3pxbMNJnMuvDV0EPXpcxuLTItV/T0+38v5u/xG03OvjnX7/L0/+nju4+WaNKCDE5JDQm0b//qYncmWlk0oua7hh7g+uhqAQKS7FdvsC8tv8a0jy4RlVA07k8EGDTVxez+q4bOfTuJ3zrxwfY/+bHctc/IcSESWhMkrOfXOL9Jg/33nkjgYutWLMmdne9zBSVeZl+Mq9Z1d2YfSta3mKsp/aT2hm+BtfgGlWDs48TH3YwZ3YmX11xMyn2JJ751/fYsuOIHOsQQkyIhMYkqflTI7YkhRV3zCbQ3YF1xsRCQ9F9XHz/GArh12doi9diZGSTe+J/Ybz7Cnlqx5BwudbM6Sn89y/fzIMlt+Lu6GPLjiNU/X9H+fPZTpl5CCGuW1zchGmq6+7z8Yd3zvOlO/JI9l0EQ8fqmPz7eGemqGBPpvuux/C+/QoZ771KKq8SsGWgL14JuUuH3U5RLCz/zA3cuTCX/zzWzL+/0cSWHW3My81kzZcK+OLi3HEtdyKE+MsjvykmyDAMfr7nPQKazpr/VoDfE9xtFInQUPQrB7RtqbgXPkyGI0DgzJ8wzhzC9/bLJGXXY9zzt6H+N0yzYDV8pKXYUbV+TjT2MTsrjQdLbuV0cxcfNF/kX37zLs++fILP3jabLy7O5Y5bZpGabJ30sQshEoOExgTtf7OZN066+Wbp7cx1ZtLVFFwGPRKhMSgzRWUeftKmTefi/GVcHEgiL92H770aeHUrGXPvZSAjD1vvJ/g+OIqenoKWmcWNM2/H5yjgk0sqhfOzeKjkVtov9nPovU9442QLh9/7BMUCc52Z3HZjFvNvmMYNs9LJnZXG9HQ7luu4L4gQIjFJaEzA+fYedu09yeKbZ7LmvxUA0P9xPdasXNSUjIj93ODxjnfJ+sJdwW9YLFhv/gKXM+ZiPf5vOBteDPVNsqjogRkMfPI+Vv11VOdtJN343wkkT0fTDXIcqaxfcTPr7i7gg3NdnP3kEh+dv8TBY8289serx1PsNpWZ01Kwq37++OG7zJqRSvaMFHIcqdwwK53pGRIqQvwlkNAYp35vgP/5Yh22JIVv//VfoSgWDM3PQPP7ZCy6OypjsKmQaYeLV54bM/KgbCvnTrxLkreLmVnT8LS1ceMdS0hWND7+j9+S0X6GGy/8hLabyhiYs4ozzV1hr7nq83NJulNB1w06uwdo6+yj1XOZzkv9dF4aoK2zh7caWrnUG37th92mMtuRSu6sdObOziR3VhrZM1KZNSOFrMxkVFXOuRAiEZgKjcbGRrZs2UJXVxfTp09n+/btzJs3L6yPpmn88Ic/5PDhw1gsFh577DHWr18fsbZYeudUOzt+9x4Xuvp58uHPkTUtBYD+pnoM/wAp8xZGZyABX9jZVZkpKlb6cMy7iU8uGWRl+qH9AgAWazKXs1zM+nwxl4++zOxTv0XpPk6e6yucN3JCr+H1a5z4sCPsxzgyk1m20Mnpjy/ycbOPuXPmomk6s2ak8N6ZDrp6vVzq9dLV4+WDc10crXeHrXZisUB6ipWMVBsZaTZS7Emk2JNQFQu2JJVku0qKPYnUZCuOTDuzZqQyLd3OtHQbmak2CRwhphBToVFZWcmGDRsoKytj7969VFRUsHv37rA++/bto7m5mf3799PV1cWaNWtYtmwZeXl5EWmLtgFfgA+au9j/1se8XneeG2al86O/uYvb52cBYGh+Lv7hN6gZWaTc9FdRHx9w5WZNJ8mauxBQYZgzapX0LFJW/l/0NfwJ6/u/J6XlJ+TOvJ3eWYX4kx0YSSlkuFtI8vUwzeZHUVQCqVkYHfOxBGyh11FVhVkzUpk7K5mCTC9J3n5UXw8FM1V0VC5qKXT5bXR47Vzw2ugPGAx4NXou++j3BrjYPUBvv5/efj9+v4Y+wtm/g4GTmWYjM81ORqqN9FQr6alW0pKtpCYHAyjZloTdpmK3qtisKqpiQVUtYfdnNwzQdB1NN2hq85L0wQV03cAAFEvw/uuKYsGqKiQlKdiSFOy2JGxWBbs1+NoSYOIv3Zih0dnZSUNDA8899xwApaWlPPXUU3g8HhyOq1c919TUsH79ehRFweFwUFRURG1tLY8++mhE2sYyeA2Cz3f9S2h09/n4z7eb6bnso68/gKe7n+bWHjTdQFEsPLjqJu6/60asSSperxdv61kuvv5/8HVdIGvlN/FrBmjesNf0BwIEdD34JCmJgK7j17TQ409/P6DrYW2aRb3a70rfkfrpgQGmWa1g6Fwc9mf56NRSKCj7f7j456PYzp9kVtO/B7c/Bdmfej+sgFYP84G5JEG7HcUCgbf8zNfC39/e4K1EsAM5V74MLCip07CkOVBmTceSnA5JyWgWlY5LAwyk38DljHy8Pp0bZqYx4NPo8/rpvRz88voDDPi04POBfjq6eujrD+Cd6G1uj7553ZtYFAs2VUFVLSQpCooaDBqLxRJ20dOnM9ACYLGgWEBVLaiKQpJqISlJxapasCapJKnKla8rgacE+1ksYMHCYP59+vKajo5u/uw+GWy3BH+WoliC/1qCY7MowZ+NhVCQBnsMju1TAzau1mBceWQYwf9f6QYYunHlcbB18PvD/aES/JnBUA6NafA9u2ZMra09nOs+fc14hj9GNhUOnYV/Bkbon+BbYNDa2sPHl05hYATfNz34r25c874ZI64/GvzMLVc/v+C/wf/+LFx5Lwf/uwhtFPof7FYLX1iYS4r9+o9ADP7OHOk6rjFf0e12k5OTg6qqAKiqSnZ2Nm63Oyw03G43ubm5oedOp5PW1taItY3F7/cDcObMGVP9P+3qrb0VIO3K16ABTp96P3yDwjUAdPuA+vohr9fcdiH02JY/n7ae/lEfD3me4aT7U20fd/aM0m/017flz+dcbwDmLg1+xUiSA9KBdLohGfD1kgqk2mGWHZgx2FMhGEUjXMWYUK797Tv8zbfCODOB+F9fbE5mBtAb62FMimAtsb1FwUcfdE9oe7/fT3Jy8pDvJ+yB8LS0NG655RasVquc1SOEECYZhoHf7yctbfhVuscMDafTSVtbG5qmoaoqmqbR3t6O0+kc0q+lpYVFixYB4bOESLSNRVEUMjIid9qrEEIkquFmGIPGPKqXlZWFy+WiuroagOrqalwuV9iuKYCSkhL27NmDrut4PB4OHDhAcXFxxNqEEEJEn6ndU1u3bmXLli3s3LmTzMxMtm/fDsDGjRvZvHkzCxcupKysjOPHj7Nq1SoANm3aRH5+PkBE2oQQQkSfxZClToUQQpgkJ50LIYQwTUJDCCGEaRIaQgghTJPQEEIIYZqERgQ1NjZSXl5OcXEx5eXlNDU1xXpIQ6xYsYKSkhLKysooKyvj8OHDALz33nt85Stfobi4mEceeYTOzqv3Fh9v22Tavn07K1asYMGCBWFX/Y/2nkeiLVJ1jPS5wNT9bC5evMjGjRspLi5m9erV/O3f/i0ejydiY45UPaPVsWDBAlavXh36XE6fPh3a7uDBg5SUlLBy5Ur+7u/+jv7+/gm3TUmGiJiHHnrIeOWVVwzDMIxXXnnFeOihh2I8oqG+/OUvG6dPnw77nqZpRlFRkfH2228bhmEYO3bsMLZs2TKhtsn29ttvGy0tLUPGP9p7Hom2SNUx3OdiGFP7s7l48aJx9OjR0PMf//jHxpNPPhmRMUeynpHqMAzDuOWWW4ze3t4h2/T29hp33nmn0djYaBiGYXzve98znnnmmQm1TVUSGhHS0dFhLFmyxAgEAoZhGEYgEDCWLFlidHZ2xnhk4Yb75XT8+HHj/vvvDz3v7Ow0PvOZz0yoLVKuHf9o73kk2iJVx3DPB8XTZ1NbW2s8/PDDERlzNOsZrMMwRg6Nmpoa47HHHgs9P3HihHHfffdNqG2qSti1p2LN7EKPU8F3vvMdDMNgyZIlPPHEE0OWa3E4HOi6TldX17jbpk+fHvE6RnvPDcOY9LZIf46f/lwyMzPj5rPRdZ1f//rXrFixIiJjjlY919Yx6KGHHkLTNL70pS/x+OOPY7PZhownNzcXt9sNDF3+yGzbVCXHNP7Cvfjii7z66qu89NJLGIbBP/zDP8R6SIL4/1yeeuopUlNTefDBB2M9lAn5dB2vv/46L7/8Mi+++CIffvghO3bsiPEIo09CI0KuXegRGHGhx1gbHI/NZmPDhg288847oYUiB3k8HhRFYfr06eNui1YtI73nkWiLdC0Q/rkMfn+qfzbbt2/n448/5l/+5V9QFCUiY45GPZ+uA65+Lunp6axfv37Ez6WlpSXUd7xtU5WERoSYXegxli5fvkxPT/CeHIZhUFNTg8vlorCwkIGBAY4dOwbAb37zG0pKSgDG3RYNo73nkWiLlJE+Fxj/+x+tz+bpp5+mvr6eHTt2YLPZIjbmSNczXB2XLl1iYGAAgEAgwO9///vQ57J8+XJOnjwZOrPuN7/5Dffee++E2qYqWXsqgj766CO2bNlCd3d3aKHH+fPnx3pYIefOnePxxx9H0zR0XaegoIDvf//7ZGdn884771BZWYnX6+WGG27gJz/5CTNnBu9MNd62yfTDH/6Q/fv309HRwYwZM5g+fTqvvfbaqO95JNoiUcezzz474ucC43//I/3ZfPDBB5SWljJv3rzQ0tp5eXns2LEjImOOVD0j1fHoo49SUVGBxWIhEAhwxx138L3vfS9034kDBw7wk5/8BF3Xcblc/PjHPyY1NXVCbVORhIYQQgjTZPeUEEII0yQ0hBBCmCahIYQQwjQJDSGEEKZJaAghhDBNQkOIKe6ZZ57hO9/5DgDnz59nwYIFBAKBGI9K/KWStaeEGKcVK1bQ0dERWpcKYO3atVRUVMRwVEJEloSGEBPw7LPPcuedd457eyO40nRomQohpjr5L1WISfbyyy/z13/912zfvp3PfvazrFixgj/84Q+h9oceeoh//ud/5mtf+xqLFy/m3LlztLW18a1vfYvPfe5zrFy5kn/913+NYQVCjExmGkJEwIkTJ1i7di1Hjx7lt7/9LX//93/P4cOHsVgsAOzdu5ddu3Zx4403YhgG3/jGN7j55ps5fPgwZ8+e5Zvf/Cb5+fksW7YsxpUIEU5mGkJMwKZNm1i6dGnoa3CGkJubywMPPICqqqxdu5YLFy7Q0dER2m7t2rXcfPPNJCUl0dHRwTvvvMN3vvMd7HY7LpeL9evXs3fv3liVJcSIZKYhxATs2LFjyDGNl19+OWzhvJSUFCC4eu2ga5e/bm9vZ9q0aaSnp4e+l5ubS319faSGLcS4yUxDiBgY3E0FkJ2dzaVLl+jt7Q19b/AuhEJMNRIaQsSY0+nkjjvu4Omnn8br9XLq1Cl+97vf8ZWvfCXWQxNiCNk9JcQEfOtb3wq7TuPOO+/knnvuue7Xefrpp6msrGT58uVkZmby+OOPT+hUXiEiRe6nIYQQwjTZPSWEEMI0CQ0hhBCmSWgIIYQwTUJDCCGEaRIaQgghTJPQEEIIYZqEhhBCCNMkNIQQQpgmoSGEEMK0/x/vK4TiflTMpQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Index(['Private', 'Apps', 'Accept', 'Enroll', 'Top10perc', 'Top25perc',\n",
    "#        'F.Undergrad', 'P.Undergrad', 'Outstate', 'Room.Board', 'Books',\n",
    "#        'Personal', 'PhD', 'Terminal', 'S.F.Ratio', 'perc.alumni', 'Expend',\n",
    "#        'Grad.Rate'],\n",
    "sns.distplot(college.Accept)\n",
    "sns.distplot(college.Enroll)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(college.Top10perc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(college[\"F.Undergrad\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(college[\"P.Undergrad\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(college.Books)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(college.Expend)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(college.Terminal)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(college.PhD)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(college[\"Grad.Rate\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}