Visualizing Earnings Based On College Majors.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .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>Rank</th>\n",
       "      <th>Major_code</th>\n",
       "      <th>Major</th>\n",
       "      <th>Total</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "      <th>Major_category</th>\n",
       "      <th>ShareWomen</th>\n",
       "      <th>Sample_size</th>\n",
       "      <th>Employed</th>\n",
       "      <th>...</th>\n",
       "      <th>Part_time</th>\n",
       "      <th>Full_time_year_round</th>\n",
       "      <th>Unemployed</th>\n",
       "      <th>Unemployment_rate</th>\n",
       "      <th>Median</th>\n",
       "      <th>P25th</th>\n",
       "      <th>P75th</th>\n",
       "      <th>College_jobs</th>\n",
       "      <th>Non_college_jobs</th>\n",
       "      <th>Low_wage_jobs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2419</td>\n",
       "      <td>PETROLEUM ENGINEERING</td>\n",
       "      <td>2339.0</td>\n",
       "      <td>2057.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.120564</td>\n",
       "      <td>36</td>\n",
       "      <td>1976</td>\n",
       "      <td>...</td>\n",
       "      <td>270</td>\n",
       "      <td>1207</td>\n",
       "      <td>37</td>\n",
       "      <td>0.018381</td>\n",
       "      <td>110000</td>\n",
       "      <td>95000</td>\n",
       "      <td>125000</td>\n",
       "      <td>1534</td>\n",
       "      <td>364</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2416</td>\n",
       "      <td>MINING AND MINERAL ENGINEERING</td>\n",
       "      <td>756.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.101852</td>\n",
       "      <td>7</td>\n",
       "      <td>640</td>\n",
       "      <td>...</td>\n",
       "      <td>170</td>\n",
       "      <td>388</td>\n",
       "      <td>85</td>\n",
       "      <td>0.117241</td>\n",
       "      <td>75000</td>\n",
       "      <td>55000</td>\n",
       "      <td>90000</td>\n",
       "      <td>350</td>\n",
       "      <td>257</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2415</td>\n",
       "      <td>METALLURGICAL ENGINEERING</td>\n",
       "      <td>856.0</td>\n",
       "      <td>725.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.153037</td>\n",
       "      <td>3</td>\n",
       "      <td>648</td>\n",
       "      <td>...</td>\n",
       "      <td>133</td>\n",
       "      <td>340</td>\n",
       "      <td>16</td>\n",
       "      <td>0.024096</td>\n",
       "      <td>73000</td>\n",
       "      <td>50000</td>\n",
       "      <td>105000</td>\n",
       "      <td>456</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2417</td>\n",
       "      <td>NAVAL ARCHITECTURE AND MARINE ENGINEERING</td>\n",
       "      <td>1258.0</td>\n",
       "      <td>1123.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.107313</td>\n",
       "      <td>16</td>\n",
       "      <td>758</td>\n",
       "      <td>...</td>\n",
       "      <td>150</td>\n",
       "      <td>692</td>\n",
       "      <td>40</td>\n",
       "      <td>0.050125</td>\n",
       "      <td>70000</td>\n",
       "      <td>43000</td>\n",
       "      <td>80000</td>\n",
       "      <td>529</td>\n",
       "      <td>102</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2405</td>\n",
       "      <td>CHEMICAL ENGINEERING</td>\n",
       "      <td>32260.0</td>\n",
       "      <td>21239.0</td>\n",
       "      <td>11021.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.341631</td>\n",
       "      <td>289</td>\n",
       "      <td>25694</td>\n",
       "      <td>...</td>\n",
       "      <td>5180</td>\n",
       "      <td>16697</td>\n",
       "      <td>1672</td>\n",
       "      <td>0.061098</td>\n",
       "      <td>65000</td>\n",
       "      <td>50000</td>\n",
       "      <td>75000</td>\n",
       "      <td>18314</td>\n",
       "      <td>4440</td>\n",
       "      <td>972</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank  Major_code                                      Major    Total  \\\n",
       "0     1        2419                      PETROLEUM ENGINEERING   2339.0   \n",
       "1     2        2416             MINING AND MINERAL ENGINEERING    756.0   \n",
       "2     3        2415                  METALLURGICAL ENGINEERING    856.0   \n",
       "3     4        2417  NAVAL ARCHITECTURE AND MARINE ENGINEERING   1258.0   \n",
       "4     5        2405                       CHEMICAL ENGINEERING  32260.0   \n",
       "\n",
       "       Men    Women Major_category  ShareWomen  Sample_size  Employed  \\\n",
       "0   2057.0    282.0    Engineering    0.120564           36      1976   \n",
       "1    679.0     77.0    Engineering    0.101852            7       640   \n",
       "2    725.0    131.0    Engineering    0.153037            3       648   \n",
       "3   1123.0    135.0    Engineering    0.107313           16       758   \n",
       "4  21239.0  11021.0    Engineering    0.341631          289     25694   \n",
       "\n",
       "       ...        Part_time  Full_time_year_round  Unemployed  \\\n",
       "0      ...              270                  1207          37   \n",
       "1      ...              170                   388          85   \n",
       "2      ...              133                   340          16   \n",
       "3      ...              150                   692          40   \n",
       "4      ...             5180                 16697        1672   \n",
       "\n",
       "   Unemployment_rate  Median  P25th   P75th  College_jobs  Non_college_jobs  \\\n",
       "0           0.018381  110000  95000  125000          1534               364   \n",
       "1           0.117241   75000  55000   90000           350               257   \n",
       "2           0.024096   73000  50000  105000           456               176   \n",
       "3           0.050125   70000  43000   80000           529               102   \n",
       "4           0.061098   65000  50000   75000         18314              4440   \n",
       "\n",
       "   Low_wage_jobs  \n",
       "0            193  \n",
       "1             50  \n",
       "2              0  \n",
       "3              0  \n",
       "4            972  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_grads = pd.read_csv('recent-grads.csv')\n",
    "recent_grads.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Major_code</th>\n",
       "      <th>Total</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "      <th>ShareWomen</th>\n",
       "      <th>Sample_size</th>\n",
       "      <th>Employed</th>\n",
       "      <th>Full_time</th>\n",
       "      <th>Part_time</th>\n",
       "      <th>Full_time_year_round</th>\n",
       "      <th>Unemployed</th>\n",
       "      <th>Unemployment_rate</th>\n",
       "      <th>Median</th>\n",
       "      <th>P25th</th>\n",
       "      <th>P75th</th>\n",
       "      <th>College_jobs</th>\n",
       "      <th>Non_college_jobs</th>\n",
       "      <th>Low_wage_jobs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>87.000000</td>\n",
       "      <td>3879.815029</td>\n",
       "      <td>39370.081395</td>\n",
       "      <td>16723.406977</td>\n",
       "      <td>22646.674419</td>\n",
       "      <td>0.522223</td>\n",
       "      <td>356.080925</td>\n",
       "      <td>31192.763006</td>\n",
       "      <td>26029.306358</td>\n",
       "      <td>8832.398844</td>\n",
       "      <td>19694.427746</td>\n",
       "      <td>2416.329480</td>\n",
       "      <td>0.068191</td>\n",
       "      <td>40151.445087</td>\n",
       "      <td>29501.445087</td>\n",
       "      <td>51494.219653</td>\n",
       "      <td>12322.635838</td>\n",
       "      <td>13284.497110</td>\n",
       "      <td>3859.017341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>50.084928</td>\n",
       "      <td>1687.753140</td>\n",
       "      <td>63483.491009</td>\n",
       "      <td>28122.433474</td>\n",
       "      <td>41057.330740</td>\n",
       "      <td>0.231205</td>\n",
       "      <td>618.361022</td>\n",
       "      <td>50675.002241</td>\n",
       "      <td>42869.655092</td>\n",
       "      <td>14648.179473</td>\n",
       "      <td>33160.941514</td>\n",
       "      <td>4112.803148</td>\n",
       "      <td>0.030331</td>\n",
       "      <td>11470.181802</td>\n",
       "      <td>9166.005235</td>\n",
       "      <td>14906.279740</td>\n",
       "      <td>21299.868863</td>\n",
       "      <td>23789.655363</td>\n",
       "      <td>6944.998579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1100.000000</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>22000.000000</td>\n",
       "      <td>18500.000000</td>\n",
       "      <td>22000.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>44.000000</td>\n",
       "      <td>2403.000000</td>\n",
       "      <td>4549.750000</td>\n",
       "      <td>2177.500000</td>\n",
       "      <td>1778.250000</td>\n",
       "      <td>0.336026</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>3608.000000</td>\n",
       "      <td>3154.000000</td>\n",
       "      <td>1030.000000</td>\n",
       "      <td>2453.000000</td>\n",
       "      <td>304.000000</td>\n",
       "      <td>0.050306</td>\n",
       "      <td>33000.000000</td>\n",
       "      <td>24000.000000</td>\n",
       "      <td>42000.000000</td>\n",
       "      <td>1675.000000</td>\n",
       "      <td>1591.000000</td>\n",
       "      <td>340.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>87.000000</td>\n",
       "      <td>3608.000000</td>\n",
       "      <td>15104.000000</td>\n",
       "      <td>5434.000000</td>\n",
       "      <td>8386.500000</td>\n",
       "      <td>0.534024</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>11797.000000</td>\n",
       "      <td>10048.000000</td>\n",
       "      <td>3299.000000</td>\n",
       "      <td>7413.000000</td>\n",
       "      <td>893.000000</td>\n",
       "      <td>0.067961</td>\n",
       "      <td>36000.000000</td>\n",
       "      <td>27000.000000</td>\n",
       "      <td>47000.000000</td>\n",
       "      <td>4390.000000</td>\n",
       "      <td>4595.000000</td>\n",
       "      <td>1231.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>130.000000</td>\n",
       "      <td>5503.000000</td>\n",
       "      <td>38909.750000</td>\n",
       "      <td>14631.000000</td>\n",
       "      <td>22553.750000</td>\n",
       "      <td>0.703299</td>\n",
       "      <td>338.000000</td>\n",
       "      <td>31433.000000</td>\n",
       "      <td>25147.000000</td>\n",
       "      <td>9948.000000</td>\n",
       "      <td>16891.000000</td>\n",
       "      <td>2393.000000</td>\n",
       "      <td>0.087557</td>\n",
       "      <td>45000.000000</td>\n",
       "      <td>33000.000000</td>\n",
       "      <td>60000.000000</td>\n",
       "      <td>14444.000000</td>\n",
       "      <td>11783.000000</td>\n",
       "      <td>3466.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>173.000000</td>\n",
       "      <td>6403.000000</td>\n",
       "      <td>393735.000000</td>\n",
       "      <td>173809.000000</td>\n",
       "      <td>307087.000000</td>\n",
       "      <td>0.968954</td>\n",
       "      <td>4212.000000</td>\n",
       "      <td>307933.000000</td>\n",
       "      <td>251540.000000</td>\n",
       "      <td>115172.000000</td>\n",
       "      <td>199897.000000</td>\n",
       "      <td>28169.000000</td>\n",
       "      <td>0.177226</td>\n",
       "      <td>110000.000000</td>\n",
       "      <td>95000.000000</td>\n",
       "      <td>125000.000000</td>\n",
       "      <td>151643.000000</td>\n",
       "      <td>148395.000000</td>\n",
       "      <td>48207.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Rank   Major_code          Total            Men          Women  \\\n",
       "count  173.000000   173.000000     172.000000     172.000000     172.000000   \n",
       "mean    87.000000  3879.815029   39370.081395   16723.406977   22646.674419   \n",
       "std     50.084928  1687.753140   63483.491009   28122.433474   41057.330740   \n",
       "min      1.000000  1100.000000     124.000000     119.000000       0.000000   \n",
       "25%     44.000000  2403.000000    4549.750000    2177.500000    1778.250000   \n",
       "50%     87.000000  3608.000000   15104.000000    5434.000000    8386.500000   \n",
       "75%    130.000000  5503.000000   38909.750000   14631.000000   22553.750000   \n",
       "max    173.000000  6403.000000  393735.000000  173809.000000  307087.000000   \n",
       "\n",
       "       ShareWomen  Sample_size       Employed      Full_time      Part_time  \\\n",
       "count  172.000000   173.000000     173.000000     173.000000     173.000000   \n",
       "mean     0.522223   356.080925   31192.763006   26029.306358    8832.398844   \n",
       "std      0.231205   618.361022   50675.002241   42869.655092   14648.179473   \n",
       "min      0.000000     2.000000       0.000000     111.000000       0.000000   \n",
       "25%      0.336026    39.000000    3608.000000    3154.000000    1030.000000   \n",
       "50%      0.534024   130.000000   11797.000000   10048.000000    3299.000000   \n",
       "75%      0.703299   338.000000   31433.000000   25147.000000    9948.000000   \n",
       "max      0.968954  4212.000000  307933.000000  251540.000000  115172.000000   \n",
       "\n",
       "       Full_time_year_round    Unemployed  Unemployment_rate         Median  \\\n",
       "count            173.000000    173.000000         173.000000     173.000000   \n",
       "mean           19694.427746   2416.329480           0.068191   40151.445087   \n",
       "std            33160.941514   4112.803148           0.030331   11470.181802   \n",
       "min              111.000000      0.000000           0.000000   22000.000000   \n",
       "25%             2453.000000    304.000000           0.050306   33000.000000   \n",
       "50%             7413.000000    893.000000           0.067961   36000.000000   \n",
       "75%            16891.000000   2393.000000           0.087557   45000.000000   \n",
       "max           199897.000000  28169.000000           0.177226  110000.000000   \n",
       "\n",
       "              P25th          P75th   College_jobs  Non_college_jobs  \\\n",
       "count    173.000000     173.000000     173.000000        173.000000   \n",
       "mean   29501.445087   51494.219653   12322.635838      13284.497110   \n",
       "std     9166.005235   14906.279740   21299.868863      23789.655363   \n",
       "min    18500.000000   22000.000000       0.000000          0.000000   \n",
       "25%    24000.000000   42000.000000    1675.000000       1591.000000   \n",
       "50%    27000.000000   47000.000000    4390.000000       4595.000000   \n",
       "75%    33000.000000   60000.000000   14444.000000      11783.000000   \n",
       "max    95000.000000  125000.000000  151643.000000     148395.000000   \n",
       "\n",
       "       Low_wage_jobs  \n",
       "count     173.000000  \n",
       "mean     3859.017341  \n",
       "std      6944.998579  \n",
       "min         0.000000  \n",
       "25%       340.000000  \n",
       "50%      1231.000000  \n",
       "75%      3466.000000  \n",
       "max     48207.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_grads.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data_count = recent_grads.shape[0]\n",
    "recent_grads = recent_grads.dropna()\n",
    "cleaned_data_count = recent_grads.shape[0]\n",
    "raw_data_count - cleaned_data_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 row is empty so 1 row is dropped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3e8c98d048>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cnNxErx8kBsPtAji3Gwz7xBNP9bvBrHQtfodkS7Z+dqpWM3rmmWfwyiuvQKfT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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8c997278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Sample_size', y='Median', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3edea14160>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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c+v32lM+iq0hnhkO1tbXy5ZdfyqFDh6S2ttZuw6ytW7dKbGysREdHt1u14JFH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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8cc61908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Sample_size', y='Unemployment_rate', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3e8cad4048>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/f74cOXJEREQ6Ojrk3nvv7TcOB56CUfnlL39lHqAbYR6w2z2Y19NcrhEgstdj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\ncTsTE74AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8cadb828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Full_time', y='Median', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3e8ca74c88>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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K98GsdA8uI0eO9Hjd2trq9Z4af/7zn2XGjBnu13/4wx/koYce8tjmhhtukM2b\nN7tfX3311fLpp5+KiKvkUlBQICNHjpTlyz3XJu+IwcU3Pbtxqj12V0+ZgZ5ArdQt1dfTOZDuXukx\nGL4ChZLgHkybWKiC+Wxc92ZoWymsQABXJ4FgO5dY6ftgVmrzzp5QaOTIkbjuuutw++23w2az4U9/\n+hOKiorwxhtvAABuueUWpYfS1ObNmzF48GA4nU6UlpZi+PDhGDdunCFpsaK6ujpER6ehuTmv7Z08\nREWloq6uDomJiSEdOzExES+9tBRlZSWIikrFuXP1eOmlpQGPm5iY6HOb1atfQ1nZLERHp+Hs2Tq8\n9NJSTJ9+h9f1AEkALlwPMEST6+nM6XSirq4OaWlp7mP7es+ftLQ0AA0AdrSlcwfi4v6O++6bEXRa\npk+/AxMnTvA4t9PpxNmzdR7HP3euvu28Lhs3bgp4TwNds1LBfNdcaTwB4HUA8QBOwWa71SPtWp9T\njVDuR6RTHFy+//57XHrppXj//fcBuDKA5uZmvP3227DZbKqDS1JSEg4cOOB+fejQISQlJXltc/Dg\nQZ/bDB482J2eKVOmwOFw+A0u5eXl7n8XFxejuLhYVZojSVpaWsAMKBS+Mj01nE4nyspmobm5ui2j\n2IGyshJMnDjB45i9evVCc/M+dLye5uav0KtXLy0ux81XoAMQVEatNvh2dbyO+wY6/oV7+jqam10Z\neFnZrV73tKtr7ur6Ogvmu3Yh7beGdG/Ufr+VBI1Q74dZ1dTUoKamJvQDaVyCClpLS4u7Qf/MmTNi\nt9u96lXfffddd4P+li1b3A36p06dck//39TUJGPHjvW7DocJLtW0rNDNN5jVBX1Vp3Rc/jdU/qpa\nXD2/wt9Arvb4rnt1edu9Kuyy6kmr6iU1Y59CvTf+zhlKG2R3qm5Tm3cq3mv//v3y8MMPy5QpUzQf\nRFlZWSlZWVmSkZEhCxYsEBGRZcuWSUVFhXubBx98UNLT0yUvL8/d3rJ//36x2+2Sn58vOTk57n19\nYXDpmtl70wQzxuLCKHGHANUSFdVb0wZdX4EuPj5P4uOHBd2110jBNJprOcDWiO9a53P6CyBKv2fd\naT4z3YNLXl6eLF68WDZt2sRBlGQINcv/xsb2bZtMUduBoVqWXIziq0NBXFyOriUXM+jqWvwNOPY1\nG0Ck3I9AdA8uXQ1QtAIGl8ig9Km3fTvfEzOq65HVka9AZ4XqxY7Uzv9mlevzx1cA6dUrxz09kK/B\nm8uWefe1AESDAAAWLElEQVREjZT7EYjavNPWtnNAr776Kvbt24fJkycjJibG/X5hYWHoDT9hYLPZ\noPBSKYI4nU6kpmajubka7Q26QDFiYwUHDuwJqYdPqL3FzKC9Ubpjo7levcXMwvs78V8AytG7dzZa\nWuoxffqtWLHiVQCZAA4BeAxxcYtQX7/b65p37doFh8OBUaNGYfjw4WG/lnBQnXcqjUKPPfaYDBky\nRMaPHy/FxcVSXFwsJSUlqiKaEYK4VIow8+c/Ja5R8AXSPgo+UuvH1TB7e5se2ksdvXrleLU7xcT0\nlfj44W1tdv7XtekugzPV5p2KSy4ZGRmora1FdHR08BHMBFhy6b6cTicuuywL33//OwClAL5FXFyJ\nzydRCiwSSi+A6zrWrVuHBx98BqdOrQCQBiARvXsX4OzZ/Thz5gNcGH/k+X3xVSKO1O+U2ryzh9IN\nc3Jy8N133wV9AiKjJSYmYsWKZYiLewh9+kxGXFxJSONJurPVq19Damo2SkvvR2pqNlavfi3oYzid\nTmzduhVOp1OHFCqXmJiI778/i1OnvgIwA0A2gP9CS8sBLF78DOLiStCnT6HP70v74MyOg3XbB2eS\ni+KSS3FxMXbs2IGioiKPNpe33npLt8RpiSUXipQnbqNo8bQeysBDrT8/3+1xV2LZssW4774ZXZ6P\nJZfAFI/QnzdvXtAHJzITf9PKtGPw6VqoU6konWXBFz1Gw/u6nt69h6GwMB9A198XrWdXiEjBNNDU\n1dXJe++9JyKu0fH/+Mc/VDX0GCHIS6UgWb1R2CyNs2a+j6GO7VA78FCvMSVaHNfMn5dW1Oadivda\nvny5jBw5Ui6//HIREdmzZ49MmDBB1UmNwOCiH7NkzGqZZUCcFe5jKGM71N5nPUfDd5exKqHQPbjY\n7XY5c+aM5Ofnu9/LyclRdVIjMLjowywZcyjMMJWHle5jKE/rajJzve9Ndyh9hEJt3qm4zSUmJsaj\nG3JLSwtsNpvGlXRkNXpPaR4Oes8MrYSV7mOgtquuqJklW+/2jVCuh/xTHFx++MMf4umnn0ZzczPe\ne+89LF26FD/60Y/0TBtZQKgZsxka0c3QOGuGAKdWsJ+hmsxcq6UbKIyUFnHOnz8vy5cvl6lTp8qt\nt94qy5cvl9bWVlXFJSMEcakUJLX11r7aGLSqolBzHKOrR6xY/2+FdiIKjdq8U/E4F6vjOBd9Bfv0\n6mucQHT0ePToYUNMzOUhdTe18iJOZijJKdWdxnp0Z2rzTsXBZfPmzSgvL0d9fT1aWlogIrDZbNi/\nf3/QJzUCg4u5bN26FaWl9+PEiU87vJsB4FcA7oTajIoZXvj4+gz79CnExo0VKCoqMjBlpCXdB1GW\nlZXhueeew4gRI3DRRRcFfSKijny1MQDfwjX3F6C2QdtKDeN6CkcJyMrtRKQ/xXOLJSQk4Nprr8Ul\nl1yCAQMGuP+o+9Fibqj2RvSO8zdFRfWAK8AAajMqzwxP/XGsTIv5v5Tw9RlylDq1U1wtNnfuXJw/\nfx633HIL13PpxrRuz+j4hL1x46ag1hbxd6xt27bjZz97FBdddAnOn2/EihXLLNPmEiojqgWt1E5E\nwdO9zaWkpMR9IgDuNpdNmzYFfVIjMLiELhwZl9qMqmPQO316LwAboqOHorX1oKUa9H0J5p6wHYS0\npltw+c1vfgMA7oPbbDYkJiZi3LhxGDp0qIqkGoPBJXRmzbg8g95gAMMA1CASGvSDLSmyQwNpTbf1\nXE6ePImTJ0+iqakJTU1NOHnyJD755BNce+21WLNmjarEkjWZtT3Dc22NOgBDoec6G+Faj6TjLMIn\nTnyK5uZqlJXN6vK8bAch01A7sObYsWNSUFCgdvewC+FSuyV/AwrNONDPc+6pRgH66TYPVTgHDYYy\n55nRA0IpcqjNO0PKcTtOYml2DC7KBcpAzZhxdQx6UVG9JDo6QfMAGO7JJa00mSVFLrV5p+JxLp1V\nV1ejX79+WhWgyCSULOhkxon+Os89BUDzHkzhHkNjhjnPQsFeZN1bwOCSm5vrNfvx8ePHMWTIEPz3\nf/+3bgkjY1h5EGLnoKd1eo0YNGjVCRutPAUPaSNgb7H6+nrPHWw2DBgwAPHx8bomTGvsLaYMext1\nrT3TVDsWpzvgdyiy6Db9S2pqqqoEkTVZvSpGb1YtSYSTlUu/pB3Oikw+hbO+nHXzkYUll8ii2zgX\n6p4SExNRVFSke2YQrnmwKHw41oYAllzIQHzCjWwskUYG3afcJ9Ia6+Yjmxm7rFP4sFqMDGPW6WSI\nKHQMLqQ5pXNvsW6eKHKxzYU0pWbwHOvmicxL9/VcrI7BRX9soCeKPOyKTIbznPoe0GO6eyKyBlME\nl/Xr1yM7OxtZWVlYtGiRz23mzJmDzMxM5OfnY/v27UHtS+HBBnoiamd4cGltbcXs2bNRVVWFnTt3\nYvXq1di9e7fHNpWVlfjqq6+wd+9eVFRU4P7771e8byQI1+JUWvjlL3+O2Ngfhr2B3kr3SCmjrikS\n7yWFn+HBxeFwIDMzE6mpqYiKisK0adOwdu1aj23Wrl2Lu+66CwAwevRonDhxAkeOHFG0r9VZZQR7\nezqfeeZ12Gw98ItfTEV9/e6wTOpolXsUDKOuKRLvJRnD8ODS0NCAlJQU9+vk5GQ0NDQo2kbJvlam\nZplbI/hK59NPP2vYuc14j4Jh1DVF4r0k41hyhL7aXl/l5eXufxcXF6O4uFibBOnEKiPYjUynVe5R\nMIy6pki8lxS8mpoa1NTUhHwcw4NLUlISDhw44H596NAhJCUleW1z8OBBr23Onj0bcN+OOgYXKzBi\ncSo1jEynVe5RMIy6pki8lxS8zg/e8+bNU3cg9Ssra6OlpUXS09Olrq5Ozpw5I3a7XWpraz22effd\nd+W6664TEZEtW7bI6NGjFe/bzgSXqkrHteG1XA9ea0am0yr3KBhGXVMk3ksKjdq80xSDKNevX4+f\n/vSnaG1tRVlZGebOnYuKigrYbDbMnDkTADB79mysX78e8fHxePnll1FYWOh3X1+sPIjSKiPYjUyn\nVe5RMIy6pki8l6QeR+gHYOXgQkRkFI7QJyIi02BwISIizTG4EBGR5hhciIhIcwwuRESkOQYXIiLS\nHIMLERFpjsGFiIg0x+BCRESaY3AhIiLNMbgQEZHmGFyIiEhzDC5ERKQ5BhciItIcgwsREWmOwYWI\niDTH4EJERJpjcCEiIs0xuBARkeYYXIiISHMMLkREpDkGFyIi0hyDCxERaY7BhYiINMfgQkREmmNw\nISIizTG4EBGR5hhciIhIcwwuRESkOQYXIiLSHIMLERFpjsGFiIg0x+BCRESaY3AhIiLNMbgQEZHm\nDA0uf//73zFp0iQMGzYMkydPxokTJ3xut379emRnZyMrKwuLFi1yvz9v3jwkJyejsLAQhYWFWL9+\nfbiSTkREXTA0uCxcuBATJ07El19+iQkTJmDBggVe27S2tmL27NmoqqrCzp07sXr1auzevdv9/488\n8gi2bduGbdu24Zprrgln8sOqpqbG6CSExMrpt3LaAabfaFZPv1qGBpe1a9fi7rvvBgDcfffdePPN\nN722cTgcyMzMRGpqKqKiojBt2jSsXbvW/f8iErb0GsnqX1Arp9/KaQeYfqNZPf1qGRpcGhsbceml\nlwIABg0ahMbGRq9tGhoakJKS4n6dnJyMhoYG9+sXXngB+fn5uPfee/1WqxERUXjpHlxKS0uRl5fn\n/svNzUVeXh7eeustr21tNltQx541axb279+P7du3Y9CgQXjkkUe0SjYREYVCDJSdnS2HDx8WEZFv\nv/1WsrOzvbbZsmWLTJ482f16wYIFsnDhQq/t6urqJDc31++5APCPf/zjH/9U/KnREwa68cYbsXLl\nSjz22GN45ZVXcNNNN3ltU1RUhH379qG+vh6DBw/GmjVrsHr1agDA4cOHMWjQIADAG2+8gZycHL/n\nkm7SNkNEZAY2MTDXPX78OG6//XYcPHgQqamp+OMf/4i+ffvi22+/xYwZM/DOO+8AcHVF/ulPf4rW\n1laUlZVh7ty5AIC77roL27dvR48ePZCWloaKigp3Gw4RERnH0OBCRESRKWJH6CsZoHno0CFMmDAB\nV1xxBXJzc7FkyRIDUnqBv8GiHc2ZMweZmZnIz8/H9u3bw5zCrgVK/6pVq2C322G32zFu3Dh88cUX\nBqTSPyX3HwC2bt2KqKgovPHGG2FMXWBK0l9TU4OCggLk5OSgpKQkzCnsWqD0Hzt2DNdeey3y8/OR\nm5uLlStXhj+RfpSVleHSSy9FXl6e323M/NsNlH5Vv11VLTUW8Oijj8qiRYtERGThwoXy2GOPeW3z\n7bffymeffSYiIidPnpSsrCzZtWtXWNPZ7vz585Keni51dXVy9uxZsdvtXmlZt26dXHfddSIi8vHH\nH8vo0aONSKpPStK/ZcsW+e6770REpLKy0nLpb99uwoQJcv3118vrr79uQEp9U5L+7777Tn7wgx/I\noUOHRETE6XQakVSflKS/vLxc5s6dKyKutPfv31/OnTtnRHK9fPDBB/LZZ5/57VRk5t+uSOD0q/nt\nRmzJRckAzUGDBiE/Px8A0KtXLwwfPtxjDE04BRosCriu6a677gIAjB49GidOnMCRI0eMSK4XJem/\n8sorkZCQ4P63UffaFyXpB4Dnn38eU6dOxSWXXGJAKv1Tkv5Vq1bh1ltvRVJSEgBg4MCBRiTVJyXp\nHzRoEE6ePAkAOHnyJAYMGICePQ3tk+Q2btw49OvXz+//m/m3CwROv5rfbsQGFyUDNDuqq6vD9u3b\nMXr06HAkz0ugwaK+tklKSjJNBq0k/R39/ve/x7XXXhuOpCmiJP3ffPMN3nzzTTzwwAOm632oJP17\n9uzB8ePHUVJSgqKiIvzhD38IdzL9UpL+GTNmYOfOnRgyZAjsdjsWL14c7mSqZubfbrCU/nbNEfZV\nKi0t9Yj+IgKbzYb//M//9Nq2qwGaTU1NmDp1KhYvXoxevXrpkla6oLq6Gi+//DI+/PBDo5MSlJ/9\n7GcebQFmCzCBtLS0YNu2bdi0aRNOnTqFMWPGYMyYMcjIyDA6aYosWLAAdrsd1dXV+Oqrr1BaWood\nO3bwNxtGwfx2LR1c3nvvPb//d+mll+LIkSO49NJLcfjwYb/VGC0tLZg6dSp+/OMf+xxnEy5JSUk4\ncOCA+/WhQ4fc1Rcdtzl48GCX2xhFSfoBYMeOHZg5cybWr1/fZTE83JSk/5NPPsG0adMgIjh69Cgq\nKysRFRWFG2+8MdzJ9aIk/cnJyRg4cCBiY2MRGxuL8ePH4/PPPzdFcFGS/s2bN+Pf/u3fAADp6ekY\nOnQodu/ejZEjR4Y1rWqY+berVNC/Xc1ahEzm0UcfdY/k99egLyLy4x//WB5++OFwJs2nlpYWd4Pm\nmTNnxG63S21trcc27777rrtRcMuWLaZqFFSS/vr6esnIyJAtW7YYlEr/lKS/o5/85CematBXkv5d\nu3bJxIkTpaWlRU6dOiU5OTmyc+dOg1LsSUn6H3nkESkvLxcRkcOHD0tycrIcO3bMiOT69PXXX0tO\nTo7P/zPzb7ddV+lX89uN2OBy7NgxufrqqyUrK0tKS0vl73//u4iIfPPNN3L99deLiMiHH34oPXr0\nELvdLvn5+VJQUCCVlZWGpbmyslKysrIkIyNDFixYICIiy5Ytk4qKCvc2Dz74oKSnp0teXp58+umn\nRiXVp0Dpv/fee6V///5SUFAg+fn5UlRUZGRyvSi5/+3uueceUwUXEWXp//Wvfy0/+MEPJDc3V5Ys\nWWJUUn0KlH6n0yk33HCD5OXlSW5urqxatcrI5HqYPn26DB48WKKjoyUlJUVWrFhhqd9uoPSr+e1y\nECUREWkuYnuLERGRcRhciIhIcwwuRESkOQYXIiLSHIMLERFpjsGFiIg0x+BC3d5TTz2FnJwc2O12\nFBYWwuFwYOjQoTh+/Ljm53rkkUc8lna45pprMHPmTPfrf/3Xf8Vvf/tbzc9LFG4MLtStffzxx1i3\nbh22b9+Ozz//HBs3bkRKSkqXc9EFcv78eb//d9VVV+Gjjz4CAPc0Mjt37nT//0cffYSxY8eqPjeR\nWTC4ULf27bffYuDAge6p2/v374/BgwdDRLBkyRKMGDECdrsde/bsAeBaKGzs2LEYMWIExo0bh717\n9wIAXnnlFdx00024+uqrMXHiRADAM888g1GjRiE/Px/z5s0DAIwdO9YdXHbu3ImcnBz07t0bJ06c\nwNmzZ7F7924UFhYCAH7xi18gNzcXdrsdf/zjHwEA77//PoqLi3HzzTcjIyMDc+fOxauvvopRo0bB\nbrfj66+/BgAcPXoUU6dOxejRozF69Ghs2bIFADBv3jyUlZWhpKQEGRkZeP7558Nxm6k70nNKASKz\na2pqkvz8fBk2bJjMmjVL3n//fRERSUtLk9/97nciIrJ06VK59957RcS1qNz58+dFRGTjxo1y6623\niojIypUrJSUlxb2g0oYNG2TmzJkiItLa2io33HCDfPDBByIicvnll8vBgweloqJCKioq5D/+4z+k\nsrJSNm/eLOPHjxcRkT//+c8yadIkERE5cuSIXHbZZXL48GGpqamRfv36yZEjR+TMmTMyZMgQefLJ\nJ0VEZPHixe558u68807ZvHmziIgcOHBAhg8fLiKuBbeuuuoqOXfunBw9elQGDBggLS0tOt1d6s4s\nPSsyUaji4+Oxbds2fPDBB9i0aROmTZuGBQsWwGazYcqUKQCAESNG4C9/+QsA4LvvvsNdd92FvXv3\nwmazoaWlxX2s0tJS94JKGzZswHvvvYfCwkKICE6dOoW9e/di3LhxGDt2LDZv3oyPPvoIP//5z3Ho\n0CFs3rwZCQkJuOqqqwC4ZgCePn06AOCSSy5BcXExtm7dit69e6OoqMg9y3dGRgYmT54MAMjNzUVN\nTQ0AYOPGjdi1a5d7WYCmpiacPn0aAHD99dejZ8+eGDBggHv28CFDhuh5m6kbYnChbs9ms2H8+PEY\nP348cnNz8corrwAAYmJiAAAXXXSRO4g88cQTmDBhAt544w3U19d7rEMfHx/v/reI4PHHH8eMGTO8\nztdeNfZ///d/yMnJQXJyMp599lkkJCTgnnvu8ZlG6TAFYHu6AKBHjx7u1z169HCnU0Twt7/9DVFR\nUV7H6rx/xwBJpBW2uVC3tmfPHuzbt8/9evv27UhLS/O7/YkTJ9zrcLz88st+t5s8eTJWrFiBU6dO\nAXCtYul0OgG4gss777yD/v37w2azoV+/fvjuu++wZcsWd2P+P/3TP+G1115Da2srnE4nPvjgA4wa\nNUrxdU2aNMljpcbPP/9c8b5EWmBwoW6tqakJd999N3JycpCfn49du3ahvLzc7/aPPvoo5s6dixEj\nRqC1tdXvdqWlpbjzzjsxZswY5OXl4bbbbkNTUxMAV/XVsWPHMGbMGPf2ubm56Nu3L/r37w8AmDJl\nCvLy8mC32zFx4kT8+te/9rngnb9ebYsXL8Ynn3wCu92OnJwcVFRU+NwulF5xRF3hlPtERKQ5llyI\niEhzDC5ERKQ5BhciItIcgwsREWmOwYWIiDTH4EJERJpjcCEiIs0xuBARkeb+Py8TxqKX717WAAAA\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8c8af0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='ShareWomen', y='Unemployment_rate', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3e8c8bb898>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1gF5zDccWA3rVOg4ROb4BdZzYsmULjh07hsDAQBw+fBhFRUXw8vKydd5IZT4+PnjjjXS4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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8c7db9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Men', y='Median', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3e8c775550>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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D/9uzz9vAXmALZ86c5MwZqKv7c6seCV7vLQw9IhXpOPwycOKPf/wjUVFRpKWl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\niGMpSImIiGMpSImIiGMpSImIiGP9P9qACk3HbmD3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8c8b77f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Women', y='Median', kind='scatter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VFaWnp9dr7Dlz5kgeu6ioiNzd3YUzOKniPh/fw8NDsvgWFhYUGRlJ2dnZlJeX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\nIuKiyxhjIuKiyxhjIvp/6t7pJOHMYIwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8c377710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = [\"Sample_size\", \"Median\", \"Employed\", \"Full_time\", \"ShareWomen\", \"Unemployment_rate\", \"Men\", \"Women\"]\n",
    "\n",
    "fig = plt.figure(figsize=(5,12))\n",
    "for r in range(1,5):\n",
    "    ax = fig.add_subplot(4,1,r)\n",
    "    ax = recent_grads[cols[r]].plot(kind='hist', rot=40)\n",
    "    ax.set_title(cols[r])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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08EJOTg6aNWuGNm3awNnZWdq+adMmY5+aiMjuGF10y19MnIiIHs8ksxfS09Nx6dIlREZG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\nZ3pGe5r2paeni19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REVkVo4tuUVERXF1dpduurq4oKCh44n4GgwGtWrWCWq1GREQEmjVr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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8bf0f898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5,12))\n",
    "for r in range(4,8):\n",
    "    ax = fig.add_subplot(4,1,r-3)\n",
    "    ax = recent_grads[cols[r]].plot(kind='hist', rot=40)\n",
    "    ax.set_title(cols[r])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter Matrix Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8c1b6550>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8bc40860>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8c02d908>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8bd15e80>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Dq9XihRdeQHJycrOqKnbHJXKdhARg5EjRg4qoMzg1cezfvx8Amk07wu64RK6lUDBpUOdy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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8bc85e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "scatter_matrix(recent_grads[['Sample_size', 'Median']], figsize=(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8c52f198>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8c503d30>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8be7f470>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8c5633c8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8c5b14e0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8c355a20>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8c35a0b8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8bf4af28>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f3e8bcb7f98>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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E3o09sbs2RYcDqa6uxsqVK/HNN99Ao9FAr9fjiSeeQI8ePRx+zmKxYP78+Xj11VfRp08f\nxMXFYdWqVVi8eDHS09MRHx+PkSNHwmAwwGq11i/TarWorq6GyWSCwWDAmDFjWt3Gyy+/DAAoKyuD\nxVKt5G4TqSIzMxOZmZlqh0FERG6ksSk40NqPf/xjhISEYP78+QCkF2hZWRk+/vhjh5/76KOP8Mwz\nz2Ds2LEAgD/96U/YsWMHNm3ahKioKKxZswYBAQFYt24dVq5cifDwcKSlpSEkJATbtm3DkiVLEBQU\nhLVr12LQoEHX76RGUz+eXEFBAcaOnQaTqcDJvU3FggUH8f77qU6uh0gZjY9zoq6Kxzn5AkfHuaKJ\n25gxY3Ds2LE2l7kbEzfyBbyhkS/gcU6+wNFxruhwIBMnTsTu3bvrf//2228xefJkJTdBRERE5LMU\nbeO2b98+JCQkYMiQIQCAwsJCjBo1CjExMdBoNDh8+LCSmyMiIiLyKYombl9++aWSqyMiIiKiRhRN\n3KKionD16lUUFRXBbDbXL584caKSmyEiIiLySYombkuWLMGaNWswfPjw+onmOzIALxERERG1TtHE\n7Z///Cfy8/Prp68iIiIiIuUo2qt07NixKCsrU3KVROThTCa1IyAiZ1VXAxaL2lFQeyha4vb8889j\nwoQJiImJQffu3euXb9q0ScnNEJGH2L8f2LQJuPVWYPp0taMhos64eFEmph8yBHj4YbWjobYomrg9\n8sgj+P3vf4+YmJj6SeKJqOv7oUkrEXkh+/nL89g7KJq4BQcHY9GiRUqukog82MSJwOjRgFardiRE\n1Fl9+wKLFwNsnu4dFE3c9Ho9nn/+ecydO7dJVSmHAyHqupi0EXm/Hj3UjoDaS9HE7cCBAwDQZNor\nDgdC5P0MBuDzz4HZs4GYGLWjIfJutbXAe+8BQUHSpoxVlNQRiiZuGRkZSq6OiDzEpUvAtWvynYic\nU1MDlJQA3boBVivg7692RORNFE3cAODzzz+HwWBAdXV1/bL/+q//UnozRORG06cDw4YBgwapHQmR\n9wsJARYuBAICmLRRxymauD3xxBO4du0aMjIy8Itf/AKffPIJpkyZouQmiEgFfn5AVJTaURB1Hb17\nqx0BeStFx+zYtWsX3n//ffTq1QsvvfQScnJycPLkSSU3QUREROSzFE3cgoKCAABarRbFxcUICAjA\n+fPnldwEERERkc9StKr0zjvvRFlZGX73u99h0qRJAIBf/OIXSm6CiIiIyGcpkrjt3bsXgwcPxpIl\nSwAAlZWViImJwejRo/Hss88qsQkiIiIin6dIVenjjz+OwB+GXN6xYwd+//vf4/HHH4dOp8Mvf/lL\nJTZBRCo6fRp4+20gP1/tSIjIXf79b2D9esBsVjsSakyREjeLxYLw8HAAwIYNG/DLX/4S9913H+67\n7z5MmDBBiU0QkYpOnQKKi4G8PGD4cLWjISJXs1iAI0fku8kE6HRqR0R2iiVuZrMZAQEB2LZtG95+\n++3618xM1Ym83vTpQL9+Mi8pIBdzR+NPXbwIfPUVEB8P3HCDe2IkogY2m3z5dbJezd8f+PnPZbDg\njiRthYVAZqZcMziEkGsokrjNmzcP06dPR+/evREUFAS9Xg8AOHXqFHRM04m8XvfuwPjx8vMXXwD7\n9gELFgDR0S2//8QJqV4NDmbiRuRuNhuwahVQVQU8+aRMrdUZAwd2/DPHjsm536cPEzdXUSRx+8Mf\n/oDk5GScP38eM2fOhOaHidesVivefPNNJTZBRB6iqkpK3GpqWn9PfLxMWm0voXOGzca5HIk6qrpa\nzlGLxX3btNmAadOAXr04p7ErKTYcSHx8/HXLbuCjNlGXc/fdQHIyEBbW+nsCAwElJk05exZYswa4\n6SZgzhzn10fkCzQaKWmzWKTU2x2++QbYvh144AFg6lT3bNNXKT5XKRF1bf7+jpM2JVVXS4+2igr3\nbI+oq+jRw73bq6wErFbpyECuxcSNiDzWiBHAokVAaKjakRCRIzNnApMncw5Wd2DiRkQe7YeRhojI\ng/n5MWlzF0XnKiUiIiIi12HiRkSdZrHI4Lx1dWpHIqqqgE8+AXJz1Y6EyLWKi2VWg6IideO4ehU4\nd07dGHwNEzci6rSdO4EPPwS2blU7EnH2LHD0KJCTo3YkRK515IiMl3jokLpxvPce8O67QEmJunH4\nErZxI6JOi4yUUdUHDVI7EjF8OHDHHRIXUVd2yy1Az55AbKy6cURHS9LWs6e6cfgSJm5E1GkjRgDP\nPqt2FA38/JQZP47I0wUHA4mJakcB3Hef2hH4HlaVEhEREXkJj0jczp8/j0mTJkGr1cJqtQIAXn31\nVej1eixYsACWH+bsSEtLQ2JiIubOnYvKykoAQEZGBhISEpCcnIzi4mLV9oGIiIjI1TwicYuIiMD2\n7dvrp80qKSlBZmYmsrOzERMTg40bN8JsNiM1NRXZ2dmYP38+Vq9eDQBYtmwZ0tPTsWLFCixfvlzN\n3SDyGSdPAq+9Jg2kicj3WCwyHd2aNe6dD5U8JHELDAyETqer/z03NxdJSUkAgJSUFOTk5CAvLw+x\nsbHw8/OrX1ZVVQWtVgutVou4uDgYDAaV9oCo66utlelsdu4E8vMBo7HrDANgNgObN7M3KqnLbJaJ\n2hurrJQhbo4dc08MFy4Au3dLLI7U1Ukv7rNnPWc4IF/hkZ0TysrKEPrDHDc6nQ5lZWUoLy9vcVlI\nSEj95+zVrESkrNxcYMsWmcWgtFQmfX/4YWDIELUjU8alS8C+fUD37sDNN6sdDfmi0lIgNVV6aD/8\ncMPyvDwZ4qa8HBgzxvVxbNkiyZhW67jHao8ewOOPN/xM7uORiZtOp8O5Hx7ljUYjwsLCoNPpUF5e\n3mRZaGgojEZj/ef8/f1ViZeoq6utle9Dhsi0NhMnAoMHqxuTkiIjgTlzgF691I6EfJXFIl/2c81u\n3Dgp6R4+3D1xTJkicwMPHdr2e/v0cX08dD2PStxsP5QRx8XFYdWqVVi8eDHS09MRHx+PkSNHwmAw\nwGq11i/TarWorq6GyWSCwWDAGAePIy+//DIAKc2zWKrdsTtELpWZmYnMzEy3bCshARg7VsZs66ri\n4tSOgHxZnz7Ab34DBAY2Xd6tm4zZ5i6xseqPDUeOaWy25jXq7mc2mzF79mzs378fEydOxPLly5GZ\nmYlNmzYhKioKa9asQUBAANatW4eVK1ciPDwcaWlpCAkJwbZt27BkyRIEBQVh7dq1GNTCSKAajaY+\nKSwoKMDYsdNgMhU4GXUqFiw4iPffT3VyPUTKaHycu0Nt7fU3GSJXc/dx7gnq6oCAAECjUTsSchdH\nx7lHJG6uxsSNfIE7b2gHDgD//jcwc6aUxhG5i68lbkVF0nMzJga4+261oyF3cXSce0SvUiLyLvZ2\nOOxNRuRaZjNgtV7f9o18l0e1cSMi7zB1KjB6dNdu80bkCYYOlbZvWq3akZCnYIkbEXWKTgecPg38\n7/8CHEKRyHVCQoD2Dppw6pSck8ePuzYmUg8TNyLqtKIi4PJl4MwZtSMhIgAoLOQ52dWxqpSIOi0x\nEejXr31jPhGR602bJuMSDhumdiTkKkzciKjTAgKkrRsReQaek10fq0qJiIiIvAQTNyIiIiIvwcSN\niJxiNqsdARHZ8Xzs+pi4EVGnHToE/Pd/A7t2qR0JEW3eDPzpT9KzlLouJm5E1Gk1NfK9ulrdOIhI\nzkPOstD1sVcpEbXo8mXg22+B+HggIqLl90yZAowcCYSFuTc2pZlMwHvvAX36AA89pHY0RNc7dgzY\nsgW4/XZg/PiW33PvvTJ/cGdnNCktBXJy5Lzu06fzsZJrscSNiFq0ezewdy+wZ0/DMpsNKC6Wp3q7\nXr0Ajcb98SmpqkpuWufPqx0JUctKSoBr14BLl1p/j7+/c9PQ7d0rXzk5TZdXVcmDHHkGlrgRUYtu\nvlluBFOnymTyp05J0padDej1QHKyuvGVlQHBwUC3bs6vq3dvYOFCICjI+XURuYJeLwNdDxzYvveb\nTICfX8vHtNUKnDwJREU1fX3KFHktLq7p+//xD0kcH38c6N+/8/tAymCJGxG1KCICmD0bCA8HsrKA\nDRtk/sMrVyRhcpWyMsBicfyeggLg9dclJqX07StzQhK5y9WrTUuvHfHzA4YMkXPjyJGG9qUtuXYN\neOMN4K23Wj6X9u4FPvoI+OKLpst79ZJzvnfvpssjIuSc54ONZ2DiRkTXsdmkSsZmk9+jouRirtXK\nRfzqVdds9+RJ4G9/AzZudPy+wEAZIV6rdU0cRK5mMMjDx+efd+xzO3YAn34KbN/edHnjc9bfH+jR\nQxKtlpoxDBwobdjaOy3Wgw8Cixc7Vw1LymFVKRFdJzNTStlSUoBbbpEOCCNHAqdPA19/DQwf7prt\nBgbKTaetJ/sBA4Dnn5dSCCJv1L27HL89enTsc8OGSbOFESOaLs/IkKRuxgyZQ/iZZyRpaylxGzQI\neOqpzsdO6mLiRkTXCQ2Vm0rzqsNhw4AnnnDddqOjgRdekOStLUzayJuNGAH84Q/tO9Yba+0cbH7O\n8vzoupi4EdF1Jk0CJk5Up7doR29kRN5KyWN98mQ5b729hze1jTk5EbXIfgNw1Hi6rg44elTZAXgL\nClwzoG9xMVBRofx6iVylpESqRe0qKuQ4bk17krb2doZw5Nw5oLLS+fVQ5zBxI6JW7dsHLFsG7N/f\n8us7dwKffAKkpyuzvaNHZeiBzz5TZn12xcXA228Da9e2/h6jkTNAkGf54APgww8lUQKANWvkOG6e\nvF292r7ZEj7/HFi+HCgq6nxMhYXAO+9IbKQOJm5E1CKjUcaCstnke0XF9YlNdDTQr59ynRUiIqTn\nWnvHqmqvkBDpFTt4cMuvl5ZKD7+331Z2u0TOGDNGenSHh8vvgwfLcdy47WlhoQz9sX69/G42y3Ag\nLamslNedeUDR6SSewYOl9O7Klc6vizqHbdyIfJjJJGOzxcRIj0677Gxg2zaZXufpp2WQ2zfekOE3\nfv3rhiqZ6GgZuLY1Nhtw9qx8btcuYMKE1pMnQHqLPvusIrvWREiI7EdrunWT3n0cx408QU2NzFQw\na1bT5Xffff17e/SQ49d+7K5ZA1y4IIPlNp+26r775AHs4kU5LwcN6nhsOh2waJH8vGULkJsL3HNP\n69NwtcVkkh6xY8fKAMPUNiZuRD4sPR04cAD47jupapk5Uy7m9tkIunWTJ/xLl+R948ZJ0lZUBGzd\nCkyf7ri0LTdXqmd69JCn/MpKYN489+xbR4SEyDhVbNhNStm5s6Et2IwZjh9YmvvXv+SB6oEHJKFx\npG9fGRrHfuwGBEiP0uYdH8xmaYJgsQAnTshwJM8/37F9ai44uPXZGRq7fFnO/5YSRYNBrhOlpUzc\n2ouJG5EPGzNGqjrMZqlyOXRI2s9MmADcdJNc3AG54JeUyKwGgAyUW1goCZ+jxC0iQi7qU6ZIR4aY\nGNfvU2cxaSOlmEzyYHPypCQjUVEdS9z69ZOHo7Cw1t9z8qQkTSNGND12H35YkrPmU8GVl8tE9X5+\nwOjRcm4669Zb5eGtraFH3n1XShGffvr67cbESGw33uh8PL6CiRuRD7MPrGuvMi0slGlwjEYZfNfu\nlluAw4eBu+5q+D0srO2L7bBhwH/+p/JxG40yevyoUTJsSWCg+8at+vZbSUZjY92zPfI+wcHAHXcA\nt90mP48b17HP33qrfDVWVQXk5UkThogIOV979JDzy/6ABch50NK5EBEhpd1abceSyLa057wbOVIe\n+nr2vP61oCApkaT209hs9kltui6NRgP7bhYUFGDs2GkwmQqcXGsqevR4AdXVzs/9069fFC5cOOP0\nesi3NT7OO+v772X09eRkacsSFCTDc0RHOx5z6to1qe6IjW25lKCgQHqizZ4to7o76/hxmWtRq5Un\n+ZEjgYcecn69bSktlbZ+Gg3w4oscc04NShznnmbfPuCbbyTZGzny+tePHpXe22fPSvVrZKSU4k2a\nJJ9pT2lxSYl8b97uzRl1dUB+vpS6Ny/hI+c4Os5Z4uYESdqcv4BcvMg6GlLXqVMN0+U88khD54Tw\ncElW9HpJ5iwWScKGDJG2NDk5wMqV0g6nulqqXe+55/r1b94s7XYuXlQmcRs1Str/2GyyXiXGpmqP\nXr3kb6HRNitsAAAgAElEQVTVMmmj9qmrAzZtkrai06e3/J4zZ6Qt6JEjMvzOgAFNX7da5eHIZJI2\nbbNny4C7X34p7VRbK7HKy5M2ZHq99Ji22YDf/la5yeKzsiThTEiQ9rGNbd0q14N7723a8Ymcx+FA\niAjffSfVpHl58nvAD490/fvLVDqRkfL7hg0yB6J9DKfsbODgQbmBWK1SbdmSPn0k0VHqAq7RSLI4\nbpx0KnBHaZt9u8nJwM03u2d75P1KSiQhy8lp/T32qsvy8parHmNjgSVL5HgfOBCYM0fOtwsXmg7Q\n29zOnXJ+5udLx4BBg+QcrKuTMQ0//dS5fYuKkoRy9+7rB7fet09Kxq86USlVWSmxUlMscSMiJCfL\nDWHsWLlQ3nyzJGHHj0syV1cnSdrnn0v7sqoqucl06yYXV51ObgpRUS2vPyZGOju0VU1jtUoJQWio\nlACOGyefc6SjpQc1NZKYssSMXMFolFLpMWPkGIuMlFKn0FAplW5pUvlBg2Toj5tuko4JLQkJkc9/\n+62UYP/4x9IRwVEng5kzpRPD+PHSQciuokJK+bp1k3PuyBEZkuP226VdauM2c4Cc4wEB18c+cKA0\nkbh6VfbzF79oeG3BAtlOa/vTlsuXgVWr5PO//GXn1tFVMXEjImi1kqjt3i2lZz/6kdxESkslaSst\nlfY1w4bJTahPH+Cvf5Wn/cpKqdp58EFZV16edHAoL5f2N5MnS9Xm/Pltjxt16JBUfXbrJtWyFkvb\niVtHXLkCpKZKvI8+qtx6qWuwV7k709Fl82Y5B2prpQ0aICVmaWlS8vWLX1xfFRoZCfzmN22vOzlZ\nkiR7m7Zhwxy/f8AAOZ+PHgUee6whIQsLk+Pf31+qcU+ckCTr9dell+qvf91Q6l5SIs0ngoOlXWnj\nB57iYkneNJrrS6HbO4j21avA++/LdufMaVju7y8xNE8iiYkbkU/Lz5eBcVNS5CJvH1G9okKewm++\nWZKuAQPkyfrwYbnAnjgh7Vv69JF2XyNGSKkbIO87ckTa09in5jl1Sraj1zvuiWq1SvVOcrJcxFsr\nwSspkaqeMWMkOeyo5m1+bTYpUQwP73gPQOoazGZpr2m1Ak891fnG9jqdlI4NGdJ0uf2Ya3zsffaZ\nVKH++teS6Jw6JZ0Q+vSRc+f++5ueL0lJUuKWny/t3YKDJfHJyZGxFsPDpee3PbGz2aTkqrZWvhon\nQYMHyzYOHpTSt5tuklLBbt2adnaw2eSrpXakw4dLU4V+/aRZRWcYjbIPZ882Xd6rF/DccywZbwkT\nNyIfduRIQ/uXAQOkkXHPnpJkbdokbcfs1R8XLsjF++OP5QZRUSGfi4hoWoIwc6bcFPr0aSgRuHxZ\n2tE1v5k1d/aslLJduNB6ezlALvZnzkhJYUdEREjj7OY35eJiYPt2af/DxM13VFRI0jNhgiQK1dWt\nJyntceWKPLgEBkpnhMbmzZNq+qAg2YZGIyXce/dKCfVjj8kDicEg74mMlF7eYWFyfpWUSIchk0kS\nMItF1rt7tzx0FBbKQ1ZsrJQYFhZKle0jj0jJ1blzklw17vUdGSmJ3ocfSvL05JNyjjROlvr2lbat\n3bpdn0RpNC3PmHDsmJQ83nKLVNG2lgR/953s04wZLa8ngBlKi/hnIfJhyclyU7jhBnnyLiyUCeWr\nquQibU+M/vEPKeEaOlQu1gUFcnMqLJSk7NQp+XxFhbynsFDWa79g22xyA2jrQpyYKAnZ1KmO32c2\nN21vY7VKY+jIyLaraFpqYzRggJQG2ueEJN+QmysPKUajlG796ldyrHa2ei40VEqfg4Ol0X5wcMNr\n9hkGSkulh+eQIdKmrFs3eWACZNidPn2kxO7RR6UKcd8+qUY9ckTanI4dC9x5Z8O64+LkfLjnHjl+\n331Xzr/hw6WZQ1SUJJEffSQPWo3boQFSnRseLvH27SvxhYbKuXrokMRifwCzWCSxjI6W9zSXni7X\njpAQKQF8+21J4v7jP1qufj5zRq4fNTUtj/GmtoICScYdPUSqoUv0Kv3Nb36DadOm4VlXTHLoFt2h\n0Wic/urfP1rtHSEvExIiSdI33wAbN8pFtFcveWq3T3ANNDzdFxVJ6YBGI23W5s6VapLycrnx/e53\nUlJ38qQkco2dOdN0cuuLF+WG01jv3tJrdfJkqRKyjz3VXL9+Urpgn4khL086TvzrX537O1itknSa\nTJ37PHmnm26Sm7I9cQoKclyKazY7Pi67dZPz4soV4LXXmr6vtFSSI3u1ZUmJnHdBQTKTASAlYg88\nIMN9pKVJSbC/vyRDcXEyKO/MmU0Twt69pdRsyhRJ1mw2OY6HDpVkaOtWGfy2b1/ZZvPz0miUZg/l\n5XIevfGG9Da9eFHOJ/vk9YCUoi1d2nRZ47/Nrl2SaMbGyt+hXz/g668laWxJcrK0jZ02rfW/uZr+\n+U+5nhUVqR1JU16fuB04cAAmkwk7duxATU0N9u3bp3ZInVADGQ/Oua+LF50dVJh8RVWVPMGbzcDp\n01JlERwsbd2eeUaegHfulCdOoGEct3HjpDTizBl5Up81S0rr+vWTTgoVFdLmbPRouYDv3CmfP39e\nbhqFhbLuHTukx9imTdfHduaMVB/93//JJNYtCQyUJ377U/+QIVIS0Z5hOrZtk3U3bmt06ZLc0LKz\nG5bt3i2lBdR1hYXJw4d9uJu2HDokx84XXzh+X2CgJFz2qsUrV4D//V8ZhLp/fynZGzFCStCKiqQU\nC5ASqz17pJ1cba2UhNXWSgKxapW8v1evlre5Zg3wP/8jSdDMmXJuTp0q64qOlurImhogM1OaJNgf\nms6fl3Pu8GFJIgMCJOGrqpJz2t7Gzp7Y1dU17Nf+/fK3yMuTz82bJw9w4eGSFP/qVw0PV/n5UoJ4\n/nzTv9ONN8q52Foy7Mi1a9ImsHkyqpTERElCW+sZe/p0wzSA7uT1VaW7d+/GjB9GH0xJSUFOTg4m\n2bvy+BwpuXMGZ3Hoeioq5Km6cRXiV1/JxS45uaEkYNo0qaY5cEASth49GhoMFxVJqdvs2XIh/uIL\nScIOH5Y2QiNHyhP/9Olyk7h8WZ70//53uSleuCClcFFRMsDolStS2mevmrx2TW4oW7bI91tvldKL\nCRNa3qcdO4A//EEu+ps3yw1n8uSGoRGsVqkG69+/abu62lop5bBYZJvR0ZKARkbKTa5vX3nfxYvS\nG8/fX0oeG6upkWqfthqv20sp2bi6c44fl+Ns5syOtzu8dk2Ov1GjGkqzHCktBdatk/fOmCFJxJYt\ncs5MmSKJTECAHF/BwfKg8/HHUjoGyDlgtTYMLr1ggfz/7U0DuneXddiPz4IC6ZhQVCTH6JdfyraL\niqStmdEox+SHH8r7b7xRHlKqqqRjUGioJFtTpjQcX+Xlcl5t3y7f+/SR4/SGG+Q8nTBB9ic4WKpT\nJ02SkrobbpBka8AAie8Pf5B1L13aMFn9v/8tJY1Wq1S19usn14mNG+VhJyFBOhI0n/Vh8GBZ3r27\nPKSdPi3vHz9e/jd2n34q/+9585oub8uZM9JjtqSk9WuFM+wlsa1t+/335e/81FPObaeysmNVxV6f\nuJWVlWH4D7Nc63Q6HPPpR2R7yV3ncRaHrqG0VC6EkyfLYLmXLkk7k/375YYzd65cqKOj5YLXv79c\nTLdtk9KuESPk5nD//bK+pCS5CA8bJuM9DRokNwN7lY1GIxeykhJ58k9IkFK606flJvLpp3JD+uor\neeIODpZ125NJg0FuDEePyg3o8mW5WZWWtrx/+fny2unTDb9/8IHs0+OPy37+4Q8S83vvNXwuMFCq\nZgoLpVrn1Cm5gV26JNvv2VN+1+nkJtn8SfvaNeDNNyWp/dWvWh82oq5OSlgAmVi7cZJ39Ki8bh/m\nZMcOWe/Mme6bb9UbnD8vCUxxceuJ27JlknCtWtV0bs+8PEksLl1qSNxsNnmQuHZNjpHG7dhKS+U4\ntTfof+stOSbNZkm+7r1Xzh/77B/ffy8lLfffL9X/69ZJQnXLLdJuLT6+aXvOnj2bDvcxaFBDp4MJ\nE+ThYvlySRpvuUVK2Ow9s3U6OQ5vv13Oz/Xr5aGnokLW26uXHMt33y2/Z2dLkrRrV0PP7lGjpPTb\nfrwHBTWMqajRXP/3zcqScyUqSrb95Zeyv+PGSbzvvSfH6vTpUrU8YoTE1JLycvmbTp8u14esLCnJ\nfvLJhgelsDDZXnCwvCcjQ/6GbXVmGjVKShaVnHs1O1tK2x96yPF67Z2yhg51bnt79sgDSkqK/O/b\nw+sTN51OB6PRCAAwGo0Ia2miRCIf89VXciMB5OJjsUgilpMjpWiXL8uF087eGWDUKCkdmz696UUz\nIKDhSTghQW4qJSXSliYxUS7+9oTrzBm52fz0p3KTGzRISg+6dWsoZRs0SG6S334rT+njxklid+ON\nctGeMEGqKH54JrvO5MlSEmavhomIkBuM/f29esl2WhqiYPRo2Zfg4IabV0iIxGTvCVhZKTe3xm3y\n7DSahq/W2GwNVVGNq2RrayWJtdkkCQ4Jkf212aT0hJ0jGkybJsdga0PCAFL1eOmSJD2NE7cxY+R4\nanz82GySoNXWSuLcOHEbMUI6A0REyDEZGCjHSGGhJD72JgMjRshrFoscH/YOCDfcIIlmfr4kJfHx\njvetd29g4UK5YdtLvY8fl9KtYcPkuI2MlL9BeLicW9HRkqxduSLbO31akoZt22SbvXpJ4nf33XI+\nlZXJMVpdLes/cULijYx0PNNIcbGcw/bhOABZx/Dhci2xWuX869lTHuiSkx3v66ZNss7qaunZWlEh\n14zGt+pZs+QLkBLDY8fkmtNW4ubv3/bfuqMuXJDr2pUrjhO3kBB5AHCW/TrSkYc2r59k/sCBA3j7\n7bexatUqPPXUU/j5z3+OyZMnN3mPRqPBSy+9BEBK6FavXo/q6otObjkVwEIoMVcpoPGg9SgzgXP/\n/tGKtLnz89PCar3m1Dq6avVvZmYmMjMz639funRp/f/u5ElpY3b77U2TgYsXpYRnzpyOD6XRmH3s\nqBEjpNooJkYSwhtvlJvcqFFNn8AvX5YBe2fNks+OHi2xjBrV8NQNyEV961Zpr+aoyqS2Vp7chw6V\nGFpy+bLcXFrqRdoep07JTbn5YKm1tXKRbauHbE2NfG/eQzErS9aRkiIX7e++k9I9T+u55qkaT769\napWU/qxe3b6/X2WlJNSOnu9ra+V/csMNkvBkZwO33db0OD1xQhIYe/uv2lo5XmprJdFsrR2aI0Zj\nyz0121JWJm3vJk9u2mmhuXPnpJRcr3dcLWexSAlb795t9+5uj0OH5O81a5aULoWGNp3Foblr16TU\nPza2c39HZ9XWyrVJyVK8tlRVXT8DjKNJ5r0+cQOAX//619i/fz9uuukmvP7669e93vgPUFBQgLFj\np8Fkcjap6KqJWw9IlasSPGWflElGPZ2jE52oq+BxTr7A0XHu9VWlAPC3v/1N7RC6EOfbyQm2lSMi\nIlJal0jcOqquzgjgf5xcyy4lQiEfpFQ1cletAiYiotZ1iarStjg7RAYRERGRO3XpqtL28IH8lHwc\n2/6QL+BxTr7AUYETRw0iIiIi8hI+mbiZzTLO1dGjakdCRERqq62VqazsYx8SeTKfqSptrKBAxqAK\nDe34VCpERNS1nDolA+9+/33HplwiUoNPJm7R0TIyfHsnFiYioq5r5EgZmDY6Wu1IiNrmM71KfWA3\nycfxOCdfwOOcfIGj49wn27gREREReSMmbkRERERegokbERERkZdg4kZERETkJZi4EREREXkJJm5E\n5FD//tHQaDROf/XvH632rhAReT0OB0LURbjqOJc585RYL89Dch6v5+QLOBwIERERURfAxI2IiIjI\nSzBxIyIiIvISTNyIiIiIvAQTNyIiIiIvwcSNiIiIyEu4NHE7f/48Jk2aBK1WC6vVCgB49dVXodfr\nsWDBAlgsFgBAWloaEhMTMXfuXFRWVgIAMjIykJCQgOTkZBQXFwMADAYD9Ho99Ho9jh49Wr+N5ORk\n3HLLLdi+fbsrd4eIiIhIVS5N3CIiIrB9+3bEx8cDAEpKSpCZmYns7GzExMRg48aNMJvNSE1NRXZ2\nNubPn4/Vq1cDAJYtW4b09HSsWLECy5cvBwAsWbIEGzZswIYNG/Diiy8CAFasWIE//vGP+Prrr7Fs\n2TJX7g4RERGRqlyauAUGBkKn09X/npubi6SkJABASkoKcnJykJeXh9jYWPj5+dUvq6qqglarhVar\nRVxcHI4dOwYAuHr1KiIjIxEZGYny8nIAwJEjRxAfHw+tVovQ0ND6EjsiIiKirsatbdzKysoQGhoK\nANDpdCgrK0N5eXmLy0JCQuo/Z69StVe3AqgfUdj+GgCEhoairKzM5ftBREREpAa3Jm46nQ5GoxEA\nYDQaERYWBp1OV196Zl8WGhpa/z4A8Pf3B2Cfekf4+fk1+d7480RERERdUYA7NmIvHYuLi8OqVauw\nePFipKenIz4+HiNHjoTBYIDVaq1fptVqUV1dDZPJBIPBgDFjxgCQNnPnzp2DRqOpL6UbP348du/e\njZiYGFRUVKBnz54txvDyyy/X/5yUlFRfZUvkrTIzM5GZmal2GERE5EYunWTebDZj9uzZ2L9/PyZO\nnIjly5cjMzMTmzZtQlRUFNasWYOAgACsW7cOK1euRHh4ONLS0hASEoJt27ZhyZIlCAoKwtq1azFo\n0CAcOXIECxcuhEajwVtvvYXY2FicO3cODz/8MKqrq7F06VKkpKRcv5OclJh8ACeZJ1/A6zn5AkfH\nuUsTN0/BE518ARM38gW8npMvcHSccwBeIiIiIi/BxI2IiIjISzBxIyIiIvISTNyIiIiIvAQTNyIi\nIiIvwcSNiIiIyEswcSMiIiLyEkzciIiIiLwEEzciIiIiL8HEjYiIiMhLMHEjIiIi8hJM3IiIiIi8\nBBM3IiIiIi/BxI2IiIjISzBxIyIiIvISTNyIiIiIvAQTNyIiIiIvwcSNiIiIyEswcSMiIiLyEkzc\niIiIiLwEEzciIiIiL8HEjYiIiMhLMHEjIiIi8hJM3IiIiIi8BBM3IiIiIi/BxI2IiIjISzBxIyIi\nIvISTNyIiIiIvAQTNyIiIiIvwcSNiIiIyEswcSMiIiLyEkzciIiIiLwEEzciIiIiL+H2xK22thZ3\n3303br31Vtxzzz2ora3FK6+8Ar1ejwULFsBisQAA0tLSkJiYiLlz56KyshIAkJGRgYSEBCQnJ6O4\nuBgAYDAYoNfrodfrcfToUXfvDhEREZHbuD1x+/LLLzF58mRkZGRgypQp+Oijj5CVlYXs7GzExMRg\n48aNMJvNSE1NRXZ2NubPn4/Vq1cDAJYtW4b09HSsWLECy5cvBwAsWbIEGzZswD//+U+8+OKL7t4d\nIiIiIrdxe+IWERGB8vJyAMDVq1dRWFiIpKQkAEBKSgpycnKQl5eH2NhY+Pn51S+rqqqCVquFVqtF\nXFwcjh07Vr+OyMhIDBgwoH69RERERF2R2xO3hIQE7Nu3DzExMdi3bx9GjBiB0NBQAIBOp0NZWRnK\ny8tbXBYSElK/HnuVqtVqrV9ms9ncuCdERERE7hXg7g1+8MEHmDNnDn7729/itddeQ21tLYxGIwDA\naDQiLCwMOp2uvvTMviw0NLT+fQDg7+8PANBoNPXLGv/c3Msvv1z/c1JSUn0pH5G3yszMRGZmptph\nEBGRG7k9cSsvL0d4eDgAqTY9c+YM9u7di8WLFyM9PR3x8fEYOXIkDAYDrFZr/TKtVovq6mqYTCYY\nDAaMGTOmfh3nzp2DRqOBTqdrdbuNEzeirqD5A8jSpUvVC4aIiNxCY3Nz/eLVq1fx4IMPoq6uDoGB\ngdiwYQPefvttbN68GVFRUVizZg0CAgKwbt06rFy5EuHh4UhLS0NISAi2bduGJUuWICgoCGvXrsWg\nQYNw5MgRLFy4EBqNBm+99RZiY2Ov30mNhtWo1OW56jiXkmwl1svzkJzH6zn5AkfHudsTNzXwRCdf\nwMSNfAGv5+QLHB3nHICXiIiIyEswcSMiIiLyEkzciIiIiLwEEzciIiIiL+GTiVtpKdBo3F4iIiLy\nEFeuAOx/0jqfS9z27wfeeAP4+mu1IyEiIqLG9u4F3nwTSE9XOxLP5XOJW1AQoNEAWq3akRAREVFj\nvEe3zSfHcbNaAT+fS1mpq+M4buQLOI5b18d7tOPjvF1TXpWUlOCdd97BmTNnYDab65e/9957ykTo\nRjYbUFEBOJgdi4iICDYbUF4OhIWpHYlv8fWkrS3tStx+9KMfQa/XIyUlpX5yd2+1dSuwaxfwox8B\nN92kdjREROSpsrKAzExg9mxg6lS1oyES7Urcrl27hj//+c+ujsUtuneX+vNu3dSOhIiIPFlgYNPv\nRJ6gXW3cXnzxRSQkJOCOO+5wR0yKa15XXFfHxI26HrZxI1/g7jZutbVM3Mj9nJ5kPiQkBCaTCd27\nd0e3bt1gs9mg0WhgNBoVD9YV2JiVfAETN/IFvJ6TL3A6cfN2PNHJFzBxI1/A6zn5Aqd7lQLA1atX\nkZeXh+rq6vpl06ZNcz46FdTWsp0bERF5DpMJCA5WOwryBu1K3N599128/vrrOHv2LCZMmIDdu3fj\n5ptvxvbt210dn+JqamTmhIAAYNEiwMs7yRIRkZfbuVNGPLjjDmDKFLWjIU/XrtFSXn/9dezduxdR\nUVHIyMjAgQMHEMaBbYiIiIjcql0lbj169ECPHj0AADU1NRg9ejROnDjh0sBcpXt34JlnpKqUpW1E\nRKS2xEQZV5TTPFF7tCtxGzRoEMrKynD33XdjxowZ6NWrF6Kiolwdm8uwazcREXkSJm3UXh3uVZqV\nlYXy8nLMmjULgV6SAbEXEvkC9iolX8DrOfmCTg8HYjQaERoaitLS0hZfDw8PVyZCF+OJTr6AiRv5\nAl7PyRd0OnG78847sWXLFgwdOvS6lWg0Gpw+fVr5aF2AJzr5AiZu5At4PSdfwAF4eaKTD2DiRr6A\n13PyBZ0egHf//v0OVzxx4sTOR0VEREREHeKwxO3WW28FAFRXVyM3Nxfjx4+HzWbD4cOHMXnyZOTk\n5LgtUGc0z1ztP2o07fu8xcKhQ8jzeX6JWw8ANU6vpV+/KFy4cMbp9ZB3Yokb70ldTUv/T0fHucMB\neDMyMpCRkYEBAwZg//79yM3Nxb59+3DgwAEMHDhQsaDdyWwG3nxTZk+oq2v7/Tk5wH//N3D4sOtj\nI+raaiAJoHNfFy8WuD1yIk+xa5fck44cUTsSUsKBA8CyZcCePe3/TLvGcTtx4gRiYmLqfx83bhy+\n++67DgfoCaxWoLpaSt2s1rbff+2avLeqyvWxEREROcJ7Utdi/z9eu9b+z7Src8K8efMQHByM+fPn\nAwDWrVuHyspKrF+/vlOBulvzIseqKjnw2zPgoc0GXL0KeMnIJ+TDPL+qlJ0cyHm+XlXKe1LXU1oK\n9OrVtPmW071Kq6ursWrVKuzYsQMAMG3aNCxcuLB+GixP5+snOvkGJm7kC3g9J1+gyHAgVVVVKCws\nxKhRoxQNzh14opMvYOJGvoDXc/IFne6cYLdp0yZMmDABs2bNAgAcPHgQc+fOVS5CIiIiImpTuzon\nLF26FHv27EFSUhIAYMKECfj+++9dGZfLnD8P/OMfQFAQUFkJ3HcfMGaM2lEREZEnOHoU+Ne/gFmz\ngLg4taPxXHV1wOrVgJ8f8PjjHJ7EndpV4tatWzfodLomyzTtHQStBR988AFSUlJw22234fz583j1\n1Veh1+uxYMECWCwWAEBaWhoSExMxd+5cVFZWApDhSRISEpCcnIzi4mIAgMFggF6vh16vx9GjR9vc\ntskE1NYCFy/K2CkVFZ3eDSIi6mLKy+XeUF6udiSezX7/NBrlZ3IjWzs8+uijtnXr1tliYmJsJ0+e\ntD399NO2xx9/vD0fvc65c+ds//Ef/1H/+6VLl2xz5syx2Ww225///GfbJ598Yqurq7Pp9XqbxWKx\nbdiwwfbqq6/abDab7dZbb7WZTCbbnj17bE899ZTNZrPZ7rnnHtu5c+dsxcXFth/96EctbrP5bpaU\n2GzV1TbbhQud2gUij9TO07lT65W+bM5+Kbce8l2u/v9brXJvsFhcupkuwWi02Soq1I6ia3J0nLer\nxO3NN9+EwWBA9+7dMW/ePISGhuJvf/tbpxLFr776ChaLBSkpKVi0aBH27t1bXwWbkpKCnJwc5OXl\nITY2Fn5+fvXLqqqqoNVqodVqERcXh2PHjgEArl69isjISAwYMADl7XxE6t0b6N4d6NevU7tARERd\nlEYj9wa/dt0dfVtICNCzp9pR+J52tXHTarX44x//iD/+8Y9Ob/DixYuoq6tDeno6nn/+eZSXlyM0\nNBQAoNPpUFZW1uqykJCQ+vXYq1StjUbRtbWzp9HGjcCpU8BttwFffQXo9UBwMPB//wfMnQuMG+f4\n8//4hxQR//KXQGsjolRUAO+8A0RGAg891K6wrpOXB3zyCZCUBNx8c+fWQUREHZeTA2RmAvffD4wc\nqV4cxcXABx/IOF+XLwOzZwM33dTwelYWsGKFtMl75hnXxrJ7N5CRof7fxNc5TNza6jm6adOmDm9Q\np9Nh+vTpAGQu1NzcXAQGBgIAjEYjwsLCoNPp6kvP7MtCQ0NhNBrr1+P/Q0vIxm3tHLW7e/nll+t/\nrqxMQs+eSbhwAaipkZOhpkbavpWWOo7fZpP3V1fL+1tL3KqqJHkrKXG8PkfKyiSuK1c6vw7qujIz\nM5GZmal2GERd0pUrcv0tK1M3DqNR7icmk5QCNr8fnD8vr5875/pY7H+Tq1ddvy1qncPELScnB4MH\nD8a8efMwdepURcbOSUhIwLvvvgtAhhUZMmQINmzYgMWLFyM9PR3x8fEYOXIkDAYDrFZr/TKtVovq\n6mqYTCYYDAaM+aEraEREBM6dOweNRnNdB4rGGidu9qSqb19gwgT57ucHjB4tJWSOaDTAE09Ij5of\nCp3k3jwAACAASURBVAVb1Lcv8NRT7ZudoTVxccDAgbIuouaSkpLqmxkA0vubiJQxaxYwcWLb9wRX\nGz1a7jn2ErcBA5q+/uCDwI03uqcEbNYsKe1rHgO5l8MBeC0WC7Zu3Yr169fj8OHDmDNnDubNm4ex\nY8c6tdHnnnsOubm56NOnD9LS0vDaa69h8+bNiIqKwpo1axAQEIB169Zh5cqVCA8PR1paGkJCQrBt\n2zYsWbIEQUFBWLt2LQYNGoQjR45g4cKF0Gg0eOuttxAbG3v9TnLARvIBHICXfAGv5+QLFJk5oaam\nBuvXr8dzzz2Hl156CU8//bSiQbpS8z/AyZMyTk9KCjBpkoqBESmIiRv5gvYc5xcvSruw8eOBGTPc\nFBiRghwd5212TqipqcHnn3+O9evX48yZM1i0aBHuuecexYN0p5ISqS49c0aKwp0Yko6IiDxMWZkM\nsH7hgtqReLfycsBBCyRSicMSt4cffhhHjx7FHXfcgYceegjj2upu6aGaZ642G7B1K/DNN9Jbc/Zs\nWW6xAGvWyM8/+xlHgibvwhI38gXtPc7PnQMiIlrvQOZuX3whtT0PPwyEh6sdTduys4Ft26RdW3y8\n2tH4nk6XuH344YcIDg7G66+/jjfeeKN+uc1mg0ajadLL05toNMDgwZKY/dChFYB0OLA/oZnNTNyI\niLzVwIFqR9DUuXNSEmg0ekfi1q1b0+/kOdrdxs2btZa51tY2TdwA6e6s0bR9Yv3730BREfDIIzII\nIZHaWOJGvsBbOyeYTJK4OZNQuvu+09I9ktzDqTZuXVlLB2RERPs+W1QkXbMrKpi4ERGRY8HB8uWM\nwkIpXHDXfYdJm2fy6RI3Z1RUyJfaY/wQ2bHEjXyBt5a4KYH3Hd+hyHAg3syXT3TyHUzcyBfwek6+\nwNFx7nPT6FZXAy+8ADz6qBQ7ExGRb1i/HnjvPemI5s0yM4E335TmOuR7fC5xq6wE8vOljRrH+CEi\n8g0WC/D998DZszKOpzc7c0baujFx800+WVWany+T5E6a5L2D7549K7M/3HwzMHmy2tGQJ2BVKfkC\nZ47zy5eltM3b59qsrAT27AGOHpUZgH6Yupu6EFaVNjN8uCQ73pq0AUBxsTxxnTmjdiRERN6hd2/v\nT9oAoGdP+V5ayiY/vsgnS9zS06XUbd48IC8PyMkB7rnH8wZsdMRqlX0YNAgIClI7GvIELHEjX6Bm\n54QtW6SJzU9+Ami1qoRQz2wGTp8Ghg51zSC5NTXAunVAr15yfyT34jhuzeTlySTEV67IgX/5spRg\neVPi5ucHjBypdhRERL7j5EmZ+aC8XP3ELSAAuOEG162/slLagpeUuG4b1Dk+WeJWViZFzMOGSSPV\nwkJJgvyaVRxbrcBHH8nyH//4+teJPAlL3MgXqFniVloqiVt0tHu3W1QEbN4MJCYC48e7b7uFhZKg\n9u7tvm2SYIlbM2Fh8gVINeOoUS2/r6ZGqiMBmfrDUyYrJiIi9wsPV2ee0aIi4NIlqSFyZ+I2ZIj7\ntkXt53NlSKdOAQsXAmPHAnfdBRw6BGRnAytXytcXXzS8NyhI6va7dwcOHGjf+j/7DPjwQ2l/QERE\n1Jrt24G//11mQ2ju4EEgNVWa8UydCjz4INC/vyw7f97xes1maZ/2ySeAzSa1TP/1X8DixbK+jigt\nBd5+G9i1S36vqwM++EBGNVBbWRnwzjvAjh1qR+JePpe4nT4NHDkiB/533wHHj8vX6dPAsWPy1dy1\na8CJE22v22qVdebnS/sAIiKi1nz3XcO8183l5UlHiKIiwN8fuPFGqbq0L3OkqkoKKY4fl/HrLlyQ\nbZ082fZnmzt/XpI9+z2wsrLhfmm1dmxdSrt4ETh3rn33567E59q41dZK6VlurgwLMm2aLLt4URp7\nhoYCffo0fNZmk4MiMlJea8uFC1LFGhXlop0hagXbuJEv6EpTXpWWSie5ljqamUxAQYE05fH3b7ps\n9Oi221wXFso9LTJS7mMHD8q9KS6uYX3tYb8HDhgA6HSyrKBAaqL692//elzBZpNktF+/huZPXQXn\nKu1CJzpRa5i4kS/g9Zx8AQfgJa9kNAL/+AfwzTdqR0JEpIysLLmusTkNdZZP9iol73DhghTJ19QA\nt9yidjTe5+DBgygrK1M7DCJq5OhRGRvt4sWGGRCIOoJVpV2I2Sy9iEJCgDlz1I5GGAwyM8WcOR2f\nasZmkwa1/foBERGuia8raXycFxcXIypqOIKDpzq1ztraYlRV5YFVpeQpvP16fvmyJG433tjxz9ps\nwKZN0i773ns71lbN1b77Dti5E5g927sGs/dUHMfNRxiN0osoIAC44w7PmIv1u++As2elF1JHEzeN\nhpMnd1ZdXR26d++L8vJMJ9eUCmChAhERESCD2XZ2QFuzGTh8WHpzzpolD+me4vhxudbn5zNxczWf\nTNwuXJDx2sLDgatXgTvvbOhJeuWKPNFMmADcdJO6cXZUeDgwf74MFOwJSRsgF5eRI2XcPCIib6b2\n/aFbN+CRRySBaytpq62VcUXDw4GZM10Tj8kk2xg6VLYxdCiv9e7gk4lbfr50lT58WLoQf/99Q+JW\nUCBfAQHel7gBwIgRakfQVM+e7h3pm4jIVez3B39/9e4P7Z3NoKxMSsG6d3dd4nb+vNxPjUZphzxh\ngmu2Q035XOJ24oQkbMeOSbJ2++3AxInSDmv9ehmXxt9fxndzJCtLBv67996GqbC++EIGPrz7bs9q\ne+AOO3cCZ87ITBNqT75MROQK48fL+GmO5io9fFjGCr3zTsdtc0tKZHaDigqZC7u1qRctFpnU3j7V\n1ldfye/33isFDC2xv+f++4Fevdq1a/Vqa6XXa34+8LOfNTRXyciQ2qpZs+ReFxUlc6fefz/Qt2/H\ntkHO8bnhQAwGGYhw5045EAcMkIN/zx454bZtkyk9jEbH69m/Xwb+u3hRfrdYgH37ZFaGlqYv6eoO\nHJCRvtuaioWIyFv5+0upkqPBXg8fllqc7793vK7Tp2XKxYMH5b7Umk2bgDfekMIGmw3Yu1d+bq3D\nuM0mA8wfOyYFER1tb3blitwP9++XHrB2+/dLwcexY3Kt379fmuSMG8fEzd18rsRtxgx5ovjuOzng\n7E9OP/2p/DxokJycbdXTP/SQHOD2GRL8/YEFC2TdXW0E5/Z44AFJYocNUzsSIiL3sdmAzz+XDgN3\n3ilf7ZkMftIk4IkngOpqqfVpTXCw3F+CgiRRevhhmYaxtQ4OGo3cixy9x5EBA4BFi6RGqfEwTPPm\nyUwPY8dK+zoma+rxyeFAvv5aStymTpXel0RdQePjvKCgAGPHToPJVODkWu29SjkcCHkGTxsOpLoa\n+POf5efFiyXRUprV2vYUV9S1cDiQZvR6qfdn7xciInJGjx7Sm99qdU3SBjBpo6Z8MnELCpKJdomI\niJw1fLjaEZAv8bk8/tIl4MMPpXFlZqaMQWM2qx0VERF11PHj0jPzyhW1I3Gsrg749FNgxw61I6Gu\nQLXE7a9//Sv0ej0A4JVXXoFer8eCBQtgsVgAAGlpaUhMTMTcuXNR+cNsvBkZGUhISEBycjKKi4sB\nAAaDAXq9Hnq9Hkcbd4FpxYkTwKlTQHa2dGk+fNjzT3oiIrrewYPyEH7ypNqROFZSIiMO7NqldiSe\nqbJS/o8e1HTRo6mSuNXW1uLQoUPQaDQoKSlBVlYWsrOzERMTg40bN8JsNiM1NRXZ2dmYP38+Vq9e\nDQBY9v/Zu/OwqO6zf/zvEQREWdwAd+OKIoo7iyIqxphGk5iYxkSTWFOfJL/WLE3apE/S+CRN6jdt\ns7ZZG7Nos2mTNCaaKCLihkZRUdwFUZFFZBlA1uH8/ng7MAPDMMPMmYW5X9fFJQwz53wGz5lzn89y\n3y++iKSkJKxevRovv/wyAOC5557Dl19+ia+++grPPvtsm/sODWWgtmED03bMmsXHhBBCuJe5c5lX\nbOJEZ7fEvL59meNy8WLntaGwEPjsM+ZncwadDvjvfznS1dzXX7Pn1FxaFNHEKYHbhx9+iAceeAAA\ncODAASQkJAAAEhMTsXfvXpw5cwZjx45Fp06dGh+rqqqCv78//P39MXnyZBw/fhwAUFJSgr59+6JP\nnz4oKytrc9/6emqVlUyOONW2GtxCCCGcpHt3IDoa8PFxdkvaNm5cU/ooZzhxgj2Thw87Z//Fxcz3\nuWtXy561oUOZXkQ6USzj8MUJ9fX12LFjBx5++GEoioKysjIEBgYCAIKCglBaWtrqYwEGxdn0Q6oN\nDQ2Nj1myRLxHDybKLS9ncsI//5klRPz8ONdt0CDmsfnyS3Zv19Yye3RcHJPLpqQwt82AAfb7m3iy\n8+dZtWL2bMkLJCzlC42NxXhDQwchP/+8fZojnObMGX6e33hjU2WB9lIUYOtWrg6dO9e6es+XLvG1\ndXVATAwQGdn2a/LzmQQ+Lg6oqeH7mDULSEtjLtDYWI4MnT7N3jpLttnc8ePAmjXM6fbEE/w7hYYC\nX3zBBXrNF1WUlwObN7NawpgxbW//8mXglVf42f3YY+ar5vTuzfdx4gSwcSNTcXl7M5HwpUt87/rS\nk8I8hwdua9euxT333NP4c1BQEC5evAgA0Gq1CA4ORlBQUGPvmf6xwMBAaA3KGXhdryll+AFu7sN8\n1apVAFgZIS8vATpdApKSWLO0d28m3y0sBEaN4gmTnc27A52OB3pcHOconDrF+psSuNnHoUP8m4aF\nSeBmrZSUFKSYGnfo8Gpgaz64ggLbAj/hGg4c4OfHwIH83LZFTQ1vIhWFKaOsSe1x+DCrDZSXM+Cz\nJMjSX0+6dmVgdfIkv09PZ0AzbBg7Cs6c4VBrewK3n38GkpKYwHffPiaaT03lvry8WgZu584x2Csv\ntyxwy8hgIHblCkex2ip3OG4c8P33DHCnTOHn/pkz3EZtLRAebv179EQOD9xOnTqFI0eO4J133sHx\n48dx4MAB7N+/H0899RSSkpIQHR2N4cOHIzMzEw0NDY2P+fv7o7q6GpWVlcjMzMTo6wXUevbsidzc\nXGg0GgQFBbW6X33g9pvfMCv05cussRYaypNCUXjC9erFE6ZfP55YV64ACxZwG507s2CvrR8QosnM\nmQycXX2OiitKSEhonGYAAP/3f//nvMYI4QQ33sigzR6fH35+rBnannxsM2bwhl5RLA8+YmOZmmrs\nWAYyAwYAkyaxek9hIZPE33UXhxgNKxhYY948BmgVFeztAhgweXk11SA1NGYM623fcINl2582je95\n2DDLe8vuvpslJcPC+PO4cXz/w4db9nrh5MoJ8fHxSE1NxSuvvIKNGzdi0KBB+Pjjj+Ht7Y1///vf\nePvtt9GjRw989tlnCAgIwLZt2/Dcc8+hS5cu+OSTT9C/f38cPXoUDz/8MDQaDf75z39i7NixLfbT\nPAOxorBbumdPyw9QgNmxq6qABx/kySWEK/Gkygm2b8e1su8Lyzm7ckJ7rx/W+PhjTiOZP19uaj2V\nuePcI0teXboEvP8+/12+nMOgAKP+zZvZAzdpUsvtZGVxReqkSdbNf3AGrZalvcaOBUaMcHZr7Ovw\nYX6o3XQT75I9TUEBhztiY40LSEvgZt02POCjr0NyduB28SLw4YfslXvqKXX2UVDAtFVTpnCkx1BR\nEefGTZ3K3ka9vXvZO3fTTexRM/dcNeXlcQFCXByvpW2pqeF1d9AgYPx49dvnLqTkVTOhoRzbz81l\nceC8PB4w9fVcrjxokOnAbcgQ9ymifvIkcOwY5050tMBt504G0KNGASNHOrs1jnf4MJfN+/kZB25C\nCPWFhQFRUU1DfWoIDW19hWVGBs9/Ly/jYGz7ds4TGz++KWBq7bmGDh3iYgh79B6mpvKrro7z3SwJ\n3HJy+Jl24YIEbpbyuMCtvJyrf2JiWKv07FkGOLW1PLA1GsDMVDm3ERXFO5mOFrQBwK23srd02DBn\nt8Q5YmMZtEVFObslQjhXVhYDj9mzGXw4QufOwG23OWZfpkRHMxBrPito0SKu0DQMllp7rt7ly+ys\n8PUFnnnGtnbV1zN4rK5mb9v1/PptGjaMq3gtCfIEeVzgduoU70K0Wqb56NWL3cvx8ZwoOnu26d42\nd+PjY/mJ424GDnRct78rCgjgZGghPN2+ffxM79PHcxaN+fubPv9NTe5v/ty6Oq5Y1U/1CQnhDWCv\nXra3y9ubC/5qaoAJEyx/XadO7EhxRRcucHTH1XoCPa5W6aBBHCI9eRL4+9+BW24B1q5l+o+ePZnZ\nWn8C5OQwo3NpqXPbLIQQoqXZs4GEBOsCBWtUVwPffdcyo/+OHexdcqSGBs5btqZs1unTwLffMlXH\nlSvMufbZZ02/9/bmnLjiYo482SoiQr3/C2f48kv2SF7PWGaktpapTY4ccXy7PK7H7cQJ5o3Zv59B\nXFERT06D3L4oK+N/2KVLvBvo1Ys9ckIIIVxHSIi6+R/PnWNetdxcBiUAMwvog7bJk5kGxBGuXmXQ\nptGwh8qSBXI7dzLoGDiQQ5E6HXvd6uqAzz/nAotRo/geL160LHebJ4mJ4UIRU/MNc3KYR/DsWaY0\ncSSPC9z69+e8r4ICLuu+7z5+v2YNx9rz8vgfkZfXdDdiauj0xAme1ImJ5lc2KgpPcj+/ll35NTVM\njjh4cNOHgqUyMhhYzpnTctWRrVJT2W5HDcft2sX5EQYpyYQQok36ie0zZwLXi+3YRWkpk9+OHcuM\n/oalqrp04Ry3hgbLgjadjp/zvXq1TO1RX8/fhYaaHo47dIjXp8RE5km7+WYGWxoNe3y2bmXbIiLY\n3vx8Jt29dIk54Dp3ZkWJwkJe+4YP5xSaykqOMnXuzJQj06dzWPDo0ZaJfhWF2/bxacrAYOitt7jP\nF17gtcxe6uv5/sLCnDdUaS5/3pAh7PF1xgIxjwvcjh7lCXf6NH/u1YsBWEEBv796FSgp4QnZrRu7\nyE1lg05J4WsGDzZ/l1JaykBIo+HSbm+Dv3h2Ng/47GzrA7dt29gzOGKEfSfpX7sGJCfz+0mTrE9E\naS198Aqwi92eH75CiI5t925+lvfqZTqoaK+MDAaENTXAL3/Z8vfWLAzKz2eqDl/floFbbi5LXPn7\nmw5Otm7lZ/KoUQzQpkxp+p3++nHuHJP37tjBHqCjRxnUFRUxICsp4VCoVttU+Wf+fGDZMrbJx4c9\ncjt38prSPHDTarltgD2MhnVhdTrgo4+4/a+/Zlkte7l0iXMYu3Z1vTlmABd9OGseuccFbqNG8eC+\n/37edSxeDGzaxNppAwfyBPDxYdBSW9s0RKoPaEaNYiqRefOYS6ytdBTdu/Muyc/POGgDGHDNnMn9\nKgoDvM6djXvm9Hdk/foZn1Dz53NFkL3Tk/j7N1WKUDtoA/jBcdttfJ8StAkhrDFiBAOX9mbdLylh\nwDJxonHPycSJ/PxvbTWmNfr25ciIqVqqAwY09aYZunyZQVlCAjMhZGSwPYbvU3/9GDCAmRB+8Quu\nIj1yhD2RixYxuAgMZAA6ciSvWfqOCMMFXkOGsGfx0iUOxxpeg/Tb9vExDtoAPnf+fAZ3S5ZY/7fJ\nz2dwNm0a55gbGjiQfxsphdiSxwVuZ89yfL+ykidleTm7vuvqOPypX7G3bJlxWpATJxjwFRYycBs8\n2PJuYcO7JEPe3k3DkWVlTfMmJk1qOkEuXOAdWWCgceA2bJj5nrZTpxgUtafr2tGTSyWthRCiPU6f\nZq/PmTPtu8AfPsz5XbW1XBGp17UrgwZ70Gha7w3s1Mn0cNzevew5Cwhgb+LXX/P6cM89TVN3vLyM\np7NMnsx/b7qJ7+nECX6WjxrFxwsL2QGxezeDNMM5cl5e/BxOTubfdOJEXj+ab9vQtWsc+dFogJde\nartOqSn793M4uEsXli+z5G8jPDBwi4nhAX3hAvDFF1xpM2gQg7Hx4zkPICwM+Pe/eTAtXcoAa8wY\nDnuay4t2+jTv/rp3Z2A4cyYPPksEBbEXz/Cu5uJFnrxTp7YsBmxOaSknnnp5AX/8Y1MWbSGE6Ej0\ntY7bO5Q2aRJ7+x09uby5ykpOv4mI4M12XByvJ/7+DLwiIxkkPf88Ryh692avWGvB6qZNfP6ECcCz\nz/Ka1Ls3g6OAANMLGwIDOTqUl8fXzprVNH/76FE+PnUqeygjI3ndvOUW/r61oK22lsHg4MGma7jG\nxXEfU6da+QfzcB4XuHXvDvzP/7CL9+JFTqg8fZoHbHExD9Zz57iqNDCQdzRDhvDuY/ZsbkNfkL65\n5GR2/V69ym7fUaOsSyrY/ODduZNtmzPHukS6AQE8sbp0kaBNCNFx9enDr/YKCODnq7NlZnJo9MIF\nDn327s3hzV27OPx5xx2cD3f4MNNXTZjAz/b5801v7/bbm0Zc9FNQNJrWc91VVnKUJiqKQ625uRw6\n1ge0P/3EQvUVFRy2LS1tqjBkrvpYVhZHjM6eNR249ezZsqdNtM3jAjeAkzNnzmSgdfvtzF+jKEwL\n8tlnPOD79+e4vn41UVISc7YEB7N37OGHW64mvfFGTuLs3ZtBmy0fKADvYnr0sH4o0cuLJzrA95SS\nwrkRpnrtdDr+PiSk5aRUITouX2jsUHA4NHQQ8vPP294c0aE0NADffMPvb7/deOSlvp7Xnuxspha5\n805+9l69ymHMo0fZYZCQ0JSGQqPh9J0uXfjVs6f5XqqICPML3srL2TEwbhwDtKQkDllqtQxk9YHW\nzz+zjTffzKHWSZN4/dRvOyWF21m8uOXUnbo6Bm6DBvE6lpLC9+Xqdb7dgUcGbgAPqL17eQLU1/Mk\nWriQw6SnTjEIM1wx8vXXvCvSd8vX1bUM3IYMYRd1UVHLOQTWKivj3RVgW7qPU6d4x3PhgunA7dIl\nnnj+/q4buO3bxwDTUzKjC0eogT0K3hcUyFVItFRT05S09+abGWzpXbjAocjt2/m526sXJ/aHh3OB\nWm0tA5zmtVADA4EVK+zTviNHOL9MqwXuvpsdDVev8lqYlcXrl6KwljcArFwJjB7N7w17yMrL+dlc\nUdFyH9nZ3Ef37rzO6HTcT2s1WIXlPDZwGzqUEx8HDGDPmL7bWVHYbRwUxLlwly/zzueRR9htvXAh\ne+QOH+YE1uYT+efO5YoeW1N0BAXxBDG1ksca4eEMeFprz4AB/JBw1ZU71dXA5s38PjLSOFGyEEK4\noi5dmLlA/72hQYN4nRgxghP8Z87k4wMHsrerT5/WC9hfu8bgLiKCn93W2LePQ6Bdu3LxQUVF06rZ\nESP49f/+H3vYhg1je+bP58+mVsQCDEqjo1uuigXYkTF9OkevqqvZGeGq1xl3o1EUcyPUHYNGo4Gl\nb/PyZeD999nL1aUL70iWLjXurSoqAv7xD/aoPfec6QUIxcU8UaZMabnMWVhHetwsY3ic5+TkICIi\nHpWVOTZu9V0AD8MevVOAxoW2Y7+2eMBHqEux5vO8o9m3jzeyQ4fyumSpqioGZenpXGi3aJHpBR27\ndzMwXL5cgixnM3ece2yPW04OFyD07887oJwc3s0sWcIeqB49OMyYn2+cNfvAAQ6TzprFOxd90Hbk\nCLuN4+IY0O3bx6+GBs6VE+0nK46EEO5AUTgyU1TE+dDx8ZYvEDt9mteMkBD2wpkaaRkzhp0Cpuav\nFRXx+nThAn9evrxp3126ME1IRARHLfQpQpqrqOAwb1paUz7P9igt5TYmTbJPAXthzGMDtw0buNig\nuprB1vHj7NWZOpUnTU1N0+TSqioe7DU1fA3ADNH61TqKwkK0DQ3sbg4JYU+bfntCCCE6vitXOH9t\n714OIQ4eDNxwg2Wv3byZReSHDOGCAVMVebp2ZdooU/bsYdCYlMRr0+zZxiNF0dH8MmfyZHZMtJZ7\n1FL79jFwq621LQAUpnlk4HbhAsfkZ85kb5p+Hlm/fsykfegQu5HnzmXwVVbWlN35ppt4YBtm+ddo\n2Kum1TaN9ffs2ZTjRgghRMfXuzdHbEaN4qiNYXWCtsyZwxWbISFNFRLS03m90XcAHDvG3qy4OK74\n9PJqKqOlD8r69+dIUHuSr/fo0fK6pSgcQg0OtrwI/eTJDNqk40IdHhm4bd3KHG633cYA7Y032JUc\nG9vUozZmDJP1AsAnn3CFTGBg63cszWvQCSGE8CwaTdNiA2uNHt20chPgCM933/H7UaN4/fnvfxnI\nhYYygwHAa5WvLwM+NXq38vPZi6dPRG+JHj1azzEnbOeRgduMGZy/Fh7O3reAAHZnjx3LMX4/Pw57\nJidz6DM+nifNlStc1ty/v7PfgRBCCFdXXAwcPMieJ1O1mPftY6eBqZqovr7MLGBYx/mmmzgqNHQo\n51l7exuXplJDaChHm7p3t+51x4+zrbGxkrvN3jwycBs2jMHXnj08qSormdbDx4epPwB2Uaemsijv\nr37FE3DjRqCggD8LIYQQ5uzcyak3itKyQkBxMee1aTRcNGBqEUPzlfSGIzvx8fZvrymdOrWvbus3\n37B38IYbWEGoqIhptKZOlbROtvLIwA3gKtDUVCZAnDiRc92Sk5sqHoSHM+eNfvVNeDgzWnt7c+ze\nltxqQgghOr4pUxi0mZpK0707gy9HlyZUFC4cCA5uur5lZnK0yZ5z0ubOZXCqz0mXmspyWRpNU/lI\n0T4eG7iNHs2x+8hIruLZt48HVm4u8+P4+xuP0XftyuHTs2cZwMmcNiGEEOb06cO51KZoNBzudLT8\nfNYe7dwZ+N//ZSD3n//w+jZkiOlkuu0xaZLxz1On8j2byh8nrOOxgVtpKe949Kt+Ro8G8vJMzzXQ\nmzaN1RRMFcsVQgghLFFby5Qhw4dzGNGRQkK48E4/Z02j4YrWigp1k8X368e6rcJ2Hhu4/fAD7zy6\nd28qpdTanZGeviyIEEII0V4ZGaxVmpXF4vGO5OXFYUxD+gwKwj2YKNbUsVVWAm+/zeXK48fbXlNU\nCCGEsEZ4ODBuHPOx2aq0FEhJMV3oXVivoIDTpmpqnN2S1nlcj9umTcBXX3FV6bp1zm6NEEIIB0l/\nPgAAIABJREFUT9Otm/2GDXfs4MrVujoOeQrbbN3Kuey+vq6bQNjjArf4eKYAka5hIYQQ7m7iRM6Z\nGzfO2S3pGKKjudLXleeya5TWys93IBqNBoZvs6yM5akGDHBio4SwM8PjPCcnBxER8aiszLFxq+8C\neBiAPT4mNC60Hfu1xQM+Ql1K88/zjqiggPnT7LXCU7gfc8e5x81xA4BPPwU+/JCpP4QQQghXce0a\n8P77/KqtdXZrhCvyuKFSgMV3vbxMlyARQgghnMXHh3Owvb35JURzHndYFBczV83cuVL9QAghhGvx\n9nZ8ihA15ecDOTlMyOvIChEdmcOHSvfv34+4uDjEx8fjd7/7HQDgr3/9K6ZPn46lS5dCp9MBAD77\n7DPExcVhwYIFqLi+znn79u2IjY3F7NmzcfnyZQBAZmYmpk+fjunTp+PYsWNt7v+nn4AtW4ADB1R6\ng0IID+ILjUZj81dY2GBnvxEhVPHdd6zJeuKEs1vScTg8cBs8eDC2b9+O1NRUFBYWIjU1FTt27MDO\nnTsRGRmJb7/9FvX19Xj33Xexc+dOLFmyBO+99x4A4MUXX0RSUhJWr16Nl19+GQDw3HPP4csvv8RX\nX32FZ599ts39T5wIjBzp2itGhBDuogZc5GDbV0GBrYtIhHBNU6eyMtHgwc5uScfh8MAtJCQEPtfH\nKL29vXH8+HEkJCQAABITE7F3716cOXMGY8eORadOnRofq6qqgr+/P/z9/TF58mQcP34cAFBSUoK+\nffuiT58+KCsra3P/I0YAixczAa8QQggh1DNuHHDXXcxdJ+zDaatKMzIyUFRUhODgYAReXyUQFBSE\n0tJSlJWVmXwsICCg8fX6IdWGhobGxzr6EnEhREdl+5Crqw23hoUNlmFkIVTglMUJJSUlWLlyJdav\nX4+ff/4Zly5dAgBotVoEBwcjKCiosfdM/1hgYCC0Wm3jNryuz3LUaDSNjxl+L4Snq6vTAvi7jVvZ\nY4+miDbph1zbr6DAtT7/OPxr+820q70vIZzN4YGbTqfDkiVL8Le//Q29e/fG5MmT8c477+DJJ59E\nUlISoqOjMXz4cGRmZqKhoaHxMX9/f1RXV6OyshKZmZkYPXo0AKBnz57Izc2FRqNBUFBQq/uVoE54\ngpbH+ZP22nIH3I4rtcU+23G9zzn7tKf5+3K99ymEAykO9vnnnyshISHKzJkzlZkzZyppaWnKK6+8\nokybNk259957lbq6OkVRFGXdunVKbGyscssttyharVZRFEVJSkpSYmJilFmzZikXL15UFEVRMjIy\nlLi4OGXatGnKkSNHTO6z+dt8/vnn1XuDdiTttD93aWt72umE09lqrv73l/bZxhHtc9fP87bI+3At\nzn4f5j7PHd7jdvfdd+Puu+82emzq1Kl46qmnjB679957ce+99xo9Nnv2bMyePdvoscjISOzatUud\nxgohhBBCuBCPLHl14QIgsZ4QwlqKAqSkAPv3O7slQghP5XGBW1UV0NCQgKQk4HpeX5elT5Pi6tyl\nnYD7tNVd2mktV39fbbWvpISB2+bNwPWF7Q7l7n+/jrJPNcj7cC2u/D4018dSOzSNRmOUKuTnn3nn\nPGWKExslhJ01P86FOvbsAbp0AcaPd3ZLPJMc58ITmDvOPTJwE6IjkuNceAI5zoUnMHece9xQqRBC\nCOHq7JHAWJIXd0zS4yZEByHHufAEnnKcM1edre/TM/5WHZH0uAkhhBBCdAASuAkhhBBCuAkJ3IQQ\nQggh3IQEbkIIIYQQbkICNyGEEEIINyGBmxBCCCGEm5DATQghhBDCTUjgJoQQQgjhJiRwE0IIIYRw\nExK4CSGEEEK4CQnchBBCCCHchARuQgghhBBuwmMDty1bgH/+EygtdXZLhHB/WVnA668DR444uyVC\nCNGxeWzglp0NXLkCFBc7uyVCuL/cXN4EXbzo7JYIIUTHplEURXF2I9Sm0WjQ/G2WlzNoGzTISY0S\nws5MHeeO0tAAnDvH88nHxylNEB7Cmce5I2k0GgC2vk/P+Ft1ROaOc48N3IToaOQ4F57AU45zCdw8\nm7nj3GOHSoUQQggh3I0EbkIIIYQQbsIlA7cnnngC8fHxePzxx40e/+ijjzBkyBDcd999jY998skn\nCA8Px6xZs/D00087uqlCCCGEEA7jcoHboUOHUFlZidTUVNTU1ODgwYONv7v11luRlJTU4jW///3v\nkZycjNWrV1u9v9paWQknhD3IuSSEEOpzucAtLS0Nc+bMAQAkJiZi7969jb/r0aMHvLy8Wrzmtdde\nQ0JCApKTk63e3/ffAx9+CKSnt7/NQgjgu+94Lh065OyWCCFEx+VygVtpaSkCAwMBAEFBQShtI0Pu\n7bffjqNHj2LDhg148sknrV5BExYGdO0K9OzZ7iYLISDnkhBCOIK3sxvQXFBQELRaLQBAq9UiODjY\n7PP1QV6vXr0wYsQIFBQUICwszOxrDh/mxWXAACA2ll9CeIKyMuDkSSAqCvD1te+2p03jlxBCCPW4\nXOAWExOD999/H3feeSeSkpKwbNkyo98rimLUq1ZeXo6AgABUVVXh7Nmz6N27t8ntrlq1CgAvXCUl\nCYiISMBTT6n2NoRQXUpKClJSUqx6TVIScPQoUFMDxMer0y4hhBDqcckEvI899hjS09MxYcIEvP76\n63j00Ufxxhtv4IcffsDq1auRlZWF2NhYrF+/Hi+88AJ+/PFHKIqCJ598EnfccUeL7RkmsqutBf77\nX6BPH+kdEB2LJYlJz54F0tKAG28EQkIc1DAh7EgS8Fq1FY/4W3VEUjnBQ0504dnkOBeewFOOcwnc\nPJtUThBCCCGE6AAkcBNCCCGEcBMSuAkhhBBCuAkJ3IQQQggh3IQEbkIIIYQQbkICNyGEEEIINyGB\nmxBCCCGEm5DATQghhBDCTUjgJoQQQgjhJlQN3KqqqnDq1Ck1dyGEEEII4TFUC9w2btyIqKgo3HTT\nTQCAw4cPY8GCBWrtTgghhBCiw1MtcFu1ahX279+P4OBgAEBUVBSys7PV2p0QQgghRIenWuDWuXNn\nBAUFGT3GorlCCCGEEKI9VAvcIiIi8Nlnn0Gn0+HMmTP47W9/i9jYWLV2J4QQQgjR4akWuL311lvI\nzMyEr68v7rnnHgQFBeGNN95Qa3dCCCGEEB2eRlEURY0Nr1+/HosWLWrzMUfQaDRQ6W0K4TLkOBee\nwFOOc04tsvV9esbfqiMyd5yrFrhNmDAB6enpbT7mCJ5yogvPJse58ASecpxL4ObZzB3n3vbe2ebN\nm7Fp0ybk5uZi5cqVjY9rtVp4e9t9d+2Wmwt89x0QEwNERTm7NUIIa5SWAl99BYSHA/Hxzm6NEEI4\njt0jqb59+2LSpEn47rvvMHHixMbHAwIC8Nprr9l7d+128SJQUACcPSuBmxDupqAAuHwZ0GgkcBNC\neBbVhkrr6urQuXNnNTZtNVNdjjodcOoUMHgw4O/vnHYJYU+eMoQEAIoCnD4NhIYC11NFCg/hKce5\nDJV6NqfMcTtz5gyeeeYZHD9+HNXV1Y2PZ2VlqbE7szzlRBeeTY5z4Qk85TiXwM2zmTvOVUsHsmzZ\nMjz88MPw9vbG9u3bcd9992HJkiVq7U4IIYQQosNTrcdt4sSJOHjwICIjI3H06FGjxxzNU+7QhGeT\n41x4Ak85zqXHzbM5dFWpnq+vLxoaGjB8+HD84x//QL9+/VBRUaHW7oQQQgghOjzVetx+/vlnjBo1\nCqWlpXjuueeg1Wrx1FNPITo6Wo3dmeUpd2jCs8lxLjyBpxzn0uPm2Ry+OEGn0+EPf/gD/va3v9l7\n0+3iKSe68GxynAtP4CnHuX0CNz8ANTa3JTR0EPLzz9u8HWE5hy9O8PLywq5du9TYtOoUBfj4Y+C9\n94C6Ome3RgjXdvo08Ne/AocOObslQoiWasDgz7avgoIch7dctE61OW7jx4/HggULsGjRInTt2rXx\n8YULF6q1S7vQ6YC8PKC+HqipAVwkFZ0QLqmwEKisBPLznd0SIYTwDKrNcVu2bFnLnWk0WLNmjRq7\nM8uwy7GkBNi+HZg0CRg40PTzS0oYwPXq5cBGCmEjZwwhNTQAFy4A/fsDLlTRzq3s3g1cuwYkJrIS\nhDBPhkqt2oodtsHteMLf3JU4ZVXpRx99ZPb3f/nLX/DMM8+otftWZWTwq76+9cCte3fHtkkId9Wp\nE6uPiPbR6YCkJE7RmDAB6NnT2S0SQrg61Xrc2jJhwgSkp6c7ZF+Gkeu1a0BaGjB2rPSoiY7FU3oi\nOprMTH4uTZ7s7Ja4B085zqXHzbM5pXJCW5x1EPj7A7NmAdXVrFUqhHCsK1eAo0fZyySAiAgJ2oQQ\nlnNa4KZx8mSOTz8FPv+cFxG9igquJv3hB9OvuXSJr8vOdkwbhXBXOTnAm282rTa9cgVYuxY4eRJY\nvx74z3+As2ed20YhhHBHTptO7Oxu1wkTgNJSIDiY891SUwFfX64orWkl7c2JE0BWFtCjB3DDDY5t\nrxCupKyMUw4mTTI9Lys3Fygu5sKF8eOBM2eAc+cAHx9g3Dh+36eP49sthBDuTrXAbffu3YiLi2v1\nsUWLFqm1a4vcdFPT9ydOMHDr1QtYtgwICjL9mmnT+LuICMe0UQhXtW8fsHcvpxzcemvL30dH83wa\nNIg/T57M1DrDh/NmqdlHgxBCCAuptjjB1OIDRy5IMNTWZNbaWmDbNq6OGzXKce0Swp4cOWn76lWm\nsZg6FQgNdcguhQAgixOs3IodtsHteMLf3JU4NB3I3r17sWfPHly5cgWvvvpq4+NarRY6nc7eu2uX\n2loOk4aE8GcfH2DePOe2SQh30rMnsGCBda/Jz2cvnOR7E0KI9rP74oTa2lpUVFSgvr4e5eXljV+B\ngYHYsGGDvXfXLhs2AG+/LatKhXCUQ4eAd98FNm2S1aRCCGEL1YZKc3JyMEg/wcXJDLsc9+8H/vEP\nICAAmDEDmD5dJkmLjqG9Q0hXrwKHDwNTpvC8UMO5c8AXXwBDh3KhwvTpQEKCOvsSHZsMlVq1FTts\ng9vxhL+5K3FK5YSamhqsWLEC58+fR319fePjycnJau3SIlotMGQI0K8fcPw4J1ffd1/br6upYboQ\nyWwuOprUVODIEfaEJSaafo6isC5pSEj7yjINHQr87/9yPydP8jwUQghhPdUCt0WLFuGhhx7Cgw8+\nCC8vL7V2Y7WpU7m6bdw4ICUFiIy07HXr1jGP2/LlrMsohCurqADOn+dim7ZOvylTGJiNH9/6c3bu\nBJKT2UtmS0/ZuHFA375MqSOEEMJ6qgVu3t7eePjhh9XafLtt3syeNj8/Tq7+4gumNrj7btZdbE1w\nMJOI+vk5rq1CtNemTTzO583jzYo5/foBCxeaf05QEAPAsjJONUhMBMLD29e23r3b9zohhBAqVk6Y\nP38+3n77beTl5aG4uLjxyxJPPPEE4uPj8fjjjxs9/tFHH2HIkCG4z2Bss6KiAgsWLMD06dOxdu3a\nNrc9ciTv+AcN4vDn2bPAN98AH34I1NUZP7eggCtQAeCOO4Cnn5b6psI9GB7nlmhoAC5fbn3hgJ8f\nEBjIpLpFRezNE0II4XiqLU64wURpAY1Gg6ysLLOvO3ToEN5991289957eOSRR7B8+XJMnDgRAFBc\nXIzS0lKsWrUKn376KQDgtddeQ1hYGO6++24kJCRg27Zt8G6Wb8DcJL+LF4G33mKQtmJFU2LQkyfZ\nGxcezt44IVydLZO2t2wB9uwB5szhOVBYyMoIsbG8WUlKAnbtYmLdwYM5T9THx77tF8ISsjjBqq3Y\nYRvcjif8zV2JU4rMZ2dnt/hqK2gDgLS0NMyZMwcAkJiYiL179zb+rkePHi3my+mfr9FoEBUVhZMn\nT1rVzgEDgMWLeXHatavp8YAA9jK462KEa9c4XJaT4+yWCHfQowfnfnbvzp/37QPS04EDB/hzQgJw\nzz3A7Nm8mWkraNNqWfM3L0/VZgshhMdRbY7btWvX8Oqrr+LChQt4//33cebMGZw6dQq33HKL2deV\nlpZi6NChAICgoCAcP368zecHBgYCAAIDA1FaWmp1WwcNAubPN84A368fh0bd1dGjTH1SVGTZqlnh\n2SZN4pdeXByDM/38OG9vYMQIy7eXmgr8/DNvIJxc3U4IIToU1Xrcli1bBh8fH+zZswcA0K9fPzz7\n7LNtvi4oKAja67kCtFotgoODzT4/ODjYquc3d+wY8OabXIXXEcpdHTjA2quRkRzWklxZoj169ADm\nzuWiHGulp7Mclo8P87XZoq6OQWBurm3bEUKIjkK1Hrdz587hyy+/xOeffw4A8Pf3t2iMPCYmBu+/\n/z7uvPNOJCUlYdmyZUa/VxTFaDsxMTFISkrCokWLcOTIEYS3stRt1apVjd8nJCQg4XpE4+vL1aQd\nYbVoURHw/fd8P889B9x0k7NbJNSUkpKClJQUZzejBV9fnk/TpwNhYbZtKzOTaUhOnwYefNA+7RNC\nCHem2uKE2NhYbNu2DXFxcUhPT8e5c+ewePFi7N+/v83XPvbYY0hPT8eECRPw+uuv49FHH8Ubb7yB\nH374AatXr0ZWVhZiY2Oxfv16lJeX45577kFJSQlWrFhhtOK08U2amOSn0wHl5exRqK83rp+YmQns\n3Qv88pfqZZK31bVrQGWlcWqFhgZOMu/WDZg2zXltE87hjEnbhYXMcbhwIRct6DU/pwCm0+naFfD3\nt3z7lZU8psPDO0aPuLCdLE6wait22Aa34wl/c1di7jhXLXDbunUr/vznP+P48eO48cYbsXv3bnz8\n8ceNPV2OZOoPsGED6yc+8AAwfHjT4/n5wL33Mu3B7bdzuHHmTE7cBnjnX1XFRKKOUl3N/Ruuy3j3\nXa6EffBBzscTQu0L2uHDDLz058u1a6yG8M03QHw8cH2ht0mnTwP/939ARATwxz+2va/CQuCrr4Co\nKOfdhNTW8pxzofzhAhK4WbkVO2yD2/GEv7krcUrJqzlz5mDChAlIS0uDoih444030MuFkqCdPcv0\nB3FxxoFbQQHzXykK573t2QMMHMg7/oYGpghpaGD1BEesOL1yBXjvPe7vgQeaHu/dm70RXbuq3wYh\nrlwBvv2WQcyzzwIHD3JYPjCQ8+GmTDH/+nPnOJRfWGjZ/goL+fzsbOcEbhUVTDQcGAg88ojj9y+E\nEK1RLXADgNzcXOh0OtTX1yM1NRUAsLCtFO0OMnkyewyaz8EZOxZ4/nkGb7m5TKdxfZErOnXivJ3K\nyqa0Cc5yxx3O3b/wLD16ABMncuqAYa3SxETgT39qu1dq+nS+buxYy/YXEQF06WJ+jlxDg/lqJ7ZQ\nFH41NKizfdFxhYUNRkFBR8vD5Hu9B9A2oaGDkJ9/3vbmeDjVhkp/9atfISMjAxEREeh0/dNVo9Fg\nzZo1auzOrOZdjikpXKk2f775+ozmfP89k/cuXco5ZWoyNVQqRHOOHkK6ds26+WqWyM/nEOmECeZ7\n2vLzWe1k9GhOaVBDdTXPOf00CeEaXH2o1D5DnIB9hjldqS3cjiv/37kSpwyVpqWltZmDzVkqKngn\nXVsL/OtfXKiweDGHRSyVlcV5cGVl6gduHWHFq+gYcnOB7dvZg2ZpOS1rFBbyvMrJMR+41dRwAURF\nhX32qyjMOxcc3JSvTs47IYQrUi1wmzJlCo4fP47Ro0ertYt2u/lm5jk7cgT47jveUcfEWD6MAwD3\n38/s8LIwQHiSzEzODw0OVidwi4zkau+2PjYGDQJWrrTfTVNeHiuN+PoCzzxjn20KIYQaVAvcHnjg\nAURHR6NPnz7w9fWFoijQaDTIyMhQa5cW69SJ5XguXGDPwfDhnFMDsPcNaHtYMiiIX6aUlXHlqa05\nrIRwNbGx7OUyTKxbW2u/uqWZmcDWrTw3Fy82/1x7zjMNDeW8V3ctcSeE8ByqBW4PPvgg1q1bh8jI\nyMY5bq7i4kVWTAgOZmF5fQBWVQUsWcLAbu3a9g+VfPABFzD85jdyIRDu5eBBYPNm4LbbgDFjWv7+\nwAEgI4M9XTfeyBQh337bVJzeVj16cAFEnz7mn1dWBnz9NTByJINJW3l5Ab/4he3bEUIItakWuPXu\n3RsLFixQa/M2OXcOCAnhBGjDXrO6Ok641miaet7aY8AA4OpV+0/cbq/SUl5omydEFaK5khLOHTNV\n8re4mOdNt25NgVVdHf+trbXP/vv2BX73u7afl5fHeXB1dfYJ3IQQwl2otqr0kUceQWlpKebPnw9f\nX9/Gx52RDqT56oy6OvYcFBYyQDt+HLjnHmDIED6m0RhXJHBnWVnsPRwxou2hJ+He7LHarqGBuQzD\nwozTfuzaBSQlAbNmMdmuobIyLuyxQ7YAiykKz9s+fdhLV1TEhUYjR7a9yvTgQX4GREc7pq3CvmRV\nqaO3Yd/tuPL/nStxyqrSqqoq+Pr6YsuWLUYNcZU8btu3s+ete3f2IJSX8/GQEOe2y958fDgM5Cq9\nf8K1depkepiySxf+a+o4am2uZ3totcCPP3KY1twCBY2maV4qwJ7ymhr2GJpTWwts3MjvR42yb9uF\nEMIRVOtxu3r1Knq6yAQvw8h13z6W6Ckp4Yf488/zohQa6uRGmlBezszxo0fbNsyp00kOOE+gdk+E\nTsdh1JMn2bOlRrqMTZuAV1/lNIZXXrHutVev8ibMoIPfpLQ09rgZLrAQ7kN63By9Dftux5X/71yJ\nueNctVUD0dHRWLRoETZt2uRS/1FFRbzgxMYy43tmJhPy1tfz9/qLkz328913LBXUXps2cQL2gQO2\ntcXdg7aSEs6vEo5VWMhjuLCQqzw1Giau/uYbIDmZPVyW0ifMPXbM/PP69WOqD321Emv07Nl20AZw\niFSCNiGEu1JtqPT06dNISkrCmjVrsHLlStx111144IEHMEKf3dJJbrqJ1RL0w0H//jcDNa2Wwyb/\n+Afvxn/7W8suAq35+WcgPd221WqjRrHXbfDg9rfD3dXWAu+8wzlNTzzRNGQn1Ld/P4/hzEwGafHx\nTJ1z/jzPkb/8hStLLVkckJ3N1dwBAaZXq+qNGwf8+c+yGlsIIVqj2lCpoe3bt2PJkiWorKzEuHHj\nsHr1asTExKi920bmuhwvXWIakOHD2bPw8cec0P/oowyc2qukhBe+yZM5edpdNDQA69bx+3vvdX5v\nXUMDsGYNe0KXL5eVsea0ZwipoYFDjKYW4xQX8wakWzcuTpg4kX//2FimAdm0iYteCguB2bOZPLc1\n9fXsbRs6lMGbEO0lQ6WO3oZ9t+PK/3euxNxxruoct3Xr1mHt2rUIDQ3F8uXLsWDBAhw+fBiLFi1C\ndna2Grs1qbU/wNWrwPr1rJgQFMTvu3fn8GavXsBjjzmsiS6juhr429/4/ZNPStkfd9KeC9rWrcDu\n3cC8ecDUqeafu2YNh0wXLOAcNK2WAVxyMoc3r10DEhKMFw0IYW8SuDl6G/bdjiv/37kSp6wqjYmJ\nwdKlS/Htt9+if//+jY9PmjQJDz30kFq7tUpeHufe+PkBM2YwrcH58+xpmzXL2a1zDj8/JiVWFAna\nPEG3blxJaknpqGnTgBMnuDABYAqQuDhOO7hwAdi5kyu1i4vZQ3f33cANN6jbfiGE8DSq9bjpS1xV\nXK8C3U3tSuxmtBa5Kgpw+jQvPIGBzO+0cSPnwM2fzwuaEO6ivT0RimJ7DrbaWtYwHTKE6TwOHwZu\nvZXnkhD2JD1ujt6Gfbfjyv93rsQpQ6XHjh3D0qVLUVxcDEVR0Lt3b3zyyScYY25mskqsOdEvX+a/\nH3/MnoU77rBuX4cOcY7czTfLRHrhWGpe0C5f5orS6dO58tNQQQFXjOrPl/p6znvr21eVpggPJ4Gb\no7dh3+248v+dK3FKOpAVK1bg1VdfRU5ODi5cuIC///3vWLFihVq7s1paGlMdNE/90bcvJ8LX1bGY\ntqGtW7mS7tKl1re7Zw9w9CjL8Qjh6vbvB156iUOg5mRkMH/bkSMtf1dTw/OlspI/e3u3DNpKSjiH\n9Nw5+7RbCCE8lWpz3CorKzFz5szGnxMSElCp/2R3ATt2cDXphAmAwRQ8AKw1+uijQNeuxo8XFfEi\nVVEBnDnDOWADBhg/59ZbgdxcrrYTwtWVlDDoMlWbFOBilRMngEmTOA9u3Lim3+mHWAcONH2+GDp+\nnGlFdLr25WgTQghBqg2V3n777ZgwYQKWLl0KAFi3bh0OHjyIb775Ro3dmWXY5VhRAXz/PYd+wsI4\npJOQAERFtXydTse5O126MAfVmjUMyG66CXjjDfYs/PGPMhfOVnv3sudTkqLapr3pQEzVJtX78UcO\nkc6YAcyd2/T40aNMxBsXx9Wk48ezlmnnzqz723xb1dXs3evXj/PfoqJsC+B0OiamHjBAhmQ9jQyV\nOnob9t2OK//fuRKnDJWuWbMGV65cwcKFC7Fw4UJcuXIFa9asUWt3Ftu5E/jySy5EqKxkT8PmzcAH\nH7Tsdfj0U+Dvf2d6kGvX2MPg5cU8VKNG8WIlQZttamqAn34Ctm1jegnhWPrapK0tTigvZ/615p3l\n5eUM+g4e5NfOnVxZev686cojfn5M4FtQwKBv3z7b2v3zz0zU++qrtm1HCCHcjWpDpd27d8ebb76p\n1ubbbexY9hJUVHBYs6yMc9dyc5kaxMuLhdl9fXlR01/QRo5kNYWgIPa0/fKXzn0fHYVGw/+TsDCu\n7BWuZcAATidoviAhNhYYNoznypYt7LWeOZPnT+fOLbdTWQl8+y1zxc2caVtya4Dnp5+f6aL3QgjR\nkdl9qHT+/PnXu4pN++677+y5O4s073LcuJG9BLGxzPaekwMEBzN7/Dvv8Ptf/5oTsYcOlfI7avr+\new55JSYyT5hoW2Eh86TFxDSVbgPUG0Kqqmp9hfS+feyxjo4GQkJ4g9O1K+fObd/OuXEDBwLvvste\n7alTgbfftr1NigKcOsWAPzjY9u0J9yFDpY7ehn2348r/d67EoQl4n3zySXtv0u66d+cq6FPFAAAg\nAElEQVSH/qRJwGefcYhuzhw+7uPDu/i9e1l8PioKuO02y7fd0NA0pOpMFRVsg6unJBkwgPm/ZJ6S\n5dLTucqzc2fmG1Rb82NIp+M50707e76Ki5kPMS2N0wduvZXty8jgcwcOZDCn05lfwGAoN5dTFSZO\nZD3U5jQa9vg5+zwTQghHs3vgNmPGjMbva2trcfLkSWg0GowcORI+Pj723l27dOnCQKG+nsNA+/Zx\nEnZODss8derExQvnz1tXvkdR2GNXVQX8f/+f84KmykrgzTd5UX38ccfMw6up4X6trcs6bpzxSkXR\ntthY3mBMmOCc/X/9NYO0Bx9sCuCCgxmU6YdAJ09moDZ2LH+eO5c3NZMnt739oiL22NXUMCg05fJl\nLhYKDwfuvNM+70sIIdyBanPcfvjhBzz00EMYOnQoFEVBdnY23nvvPcybN0+tXVpMn8agoQEYPZor\nRrOzWW9RH+T07Qs88EDL1xYX84Jkqii3ojTltGpoaLsdtbWs8zh4MC9A9uLlxfk/fn62Z8S31Lp1\nzG/34IMt50MJ+woMVL8km07HG5fBg1v2ap0/z16/9HSeJzt3MkAzTFbt72/cxpAQ4P77297vyZPA\nF1/wvHzkEQaFptTXN636FkIIT6Ja4Pa73/0O27dvx7BhwwAA586dwy9+8QuXCNyCgxmAbdrEFaM/\n/cQcVcuWmX9dXR3n6jQ0AE880XJidKdO7GnT6Yx/d/Yse0gGDjR+flYWey7OnrVv4Obnx542wHGB\nW1AQ/5ZS37RjeOcdYMMGpvZonjf75pt5gzJqFOetnTjBldrWVhkxxd+fQ8BBQQz2WjNwIM9BV58K\nIIQQ9qZa4BYQENAYtAHAkCFDEBAQoNburDJsGLBgAeexDR7MC5C+B85c3UYvL/Ym1dUxEDOUkcEU\nCbGxxq8vKwP+/W8Gdc88wxWpekOHMkVC84DOHhwVsOndead9al4K19DQ0Hp6loiIpikEAwfyXGie\niBrgcGZoqHXz0AYOZG5ES44jF/k4EUIIh1ItcJs0aRJuvvlm3HXXXdBoNFi/fj0mT56Mr7/+GgCw\ncOFCtXZtkenTObft6FHmgzp3jpOho6IY1JnSqZPp4R5FYaqDhgZg+HDjnoJu3Tjs4+dnHLQB7FlQ\ne8jLkSRo6zgGD+ZK37ZuKsaP58rsSZOMH//5Z+CHHzin7Re/sG7fchwJIUTrVAvcqqurERoaih07\ndgAAevfujaqqKmzcuBEajcZpgVtFBXvaRoxgKoGgIF4oiou50tSS3q+vv2bv2j33MPjSaDh8pNW2\nnPvm5QUsWqTOexHCWoWFTHMTE8ObitZER/Pf5gFZcz178jlhYcaPBwezJ87axSrOcu0a8PzzLH/3\n6KPObo0QQrROtZJXrsQwH8qOHcwvNXo0cNddTc/ZuJEF4qdPZxDWGkVhofm6OmDlytYnTwvhaJbk\nt1q/njVDExL4ZQ9lZVww4c49ZUeOMGDr0oV56YTrkjxujt6Gfbfjyv93rsShedz0srOz8dZbb+H8\n+fOoN6iB44wEvIbGjWNpq4kTjR+PieFQpr6noayMOd6GDeOQUW0t02toNFw5WV3t3KCtvJxB6Lhx\npucXCWFKTAx7wkzV5tWrqeGxbomsLCZRnjULGDPGPm20RV0dy6cNHMibM0tFRgIPPST5BIUQrk+1\nwO22227D8uXLMX/+fHRyoYKewcHA7NlM/9GnT9PE6V69AMMFr1evsq6iRsMLWXo6cO+9XFBgbrWb\no2RksOJAeTmweLGzWyPcRf/+/GrN7t0sATd/fsubG1MuXuQ0g5wc1wjcsrO5Uvv0ac5J7dWLX23p\n1Am4+2712yeEELZSLXDz9fXFypUr1dq8TTZv5nBRRQV7IPS0WgZyXbsCQ4Y0LURYu5Y9bDqd+e2e\nPs1FDrNmWd5j0V5RUWx/ZKS6+7GVojC4tGcd0owM5hKbO1f9v7On0R/jrR3rV69ySsHUqbyBmTaN\n89tuuMH4ec1LXlmjqIg3WPrFPOXlTBNiyerUIUO4UhtgPrhevYDf/Ma6/bdl/34Oqbr6uSeE6JhU\nC9xWrlyJVatWYe7cufA1uLpOcFa6dwNDhgAXLnDlnF5lJfDWW7w4DB3KgGP+fK6My8kBZszggga9\n8nJ+GQ6tJCezUH3//up/qHftysDF1f30E3tAFi5syqJvqx07GECMGGHf/HeCgVifPpwiAPA82bGD\n8+EGDOBK7G3bGNjddhvPl5Ej+VzDdDDNS15ZSp+ANyKCi3qysnjjNHq08SKfhgb2OA8YYFyv1dub\nN04VFS3P8cuXmULEljQi+vyPGg3bJCW3hBCOplrgduzYMaxduxbbt29vHCrVaDRITk5Wa5cWO32a\nQZdWyw/9khJgyxYOiXbtygvViRPA4cOsmVhYyEDB0CefsGdgxYqm4O3GG3mhGTmSF6zkZPZKeHJJ\nJx8fXuQ6d7bfNm+5hVUahg+33zYFJSezgH1iIoO4zEz2IvfuzSDp6lVOG2heCi4zkwl758xhLsPm\nJa8s5e/P4EvfQ+vtzWHM5nkTT55kABUWxrlpzXXrZlz55PJl4P33W++Ba2jge+/ZkylOWtO9O/8u\nlvYACiGEvakWuG3YsAHZ2dkuU5/UUM+evCB8+SUThIaHM1AbPZrzXFJS2Kvg58dgrl8/zosz1L8/\nexgM796HDOEXwLv93bv5Ae/JgdusWbzQ2fMwuOGGlkNzwj66d2eQrV94Ex/PlB76HuSqKi4A+PZb\nBjj6dCGVlTwfKir4c/OSV5YaOBD43/9t6rkbOBB4+umWORAHDeL5OmAA8M03PO/MnWcBATzvW1vI\nk5fHgNXHx3zgptEwqBVCCGdRLXAbM2YMSktLEeIKM/mbmTOHH+TffsvVoxMmsHdAf3HSp0ooLwde\nfJEXoea9O7fdZn4f/fsDM2earmlqik4H/Oc/vHDceisvEHl57FWIibFuhZyrccHYXbRi4kTjRQld\nu3I+m97ddzN4O3mSq66DgnhuTJnCYLpnT9v2n53N7Rse76Z6a7t2ZTqfEyc4HJ+X13bg9tvftv77\nXr3Y62bJQgYhhHAm1QK30tJShIeHY/LkyUZz3JydDgTgxPaffuJQ6eDB7FWbOpUXA0MBAcCSJRyq\naV4TsaqK811aK6jeqRPnxVnq2jVehDp1Yqb5zp05RHXxIidqu3PgJtyLVtv6YpLAQOYv3LABOHaM\nAZyPD88Dczcp+flMGzJ1auvzPxsagHXreBOzcqVlyXtHjOAUBVtT4pSU8NwrKbFtO0IIoTbVEvDq\nKyY0N8OaaMZOmieyKy7m/JfycgZXPj5AfT3w618bT3Q256OPuGhhyZKmidy2ys7mkJD+IlRXx4vj\n8OHms9wLAdgnMWlqKud6zZtn3NPWXG0tbzSKioCdO5n/8KabWn/+hg0sXD9jBvCnP7X+vC1bOOy6\nYIH5OWQ6XdPiBHvlXjt5koGp5HJzbZKA19HbsO92XPn/zpU4JQHvjBkzkJOTgzNnziAxMRHXrl2D\nrq18Gg5SXMwhUo2GAVthIXsMDh9mct5Ro0y/LjeXv4+IaFrUEBRkv3Y1n7fVubP5+TZCWKKhgce5\nJUPW+rlkrS0mOXGCK62nTWMvcUAApxKEhpp+fl0dV5f26MEbEMOV2abceGPbbQRYnm7z5tYXJ7SH\nrFAWQrgD1TLjfvDBB7jzzjvxP//zPwCA3Nxc3NbWxLDrnnjiCcTHx+Pxxx83ejwvLw+zZ8/GtGnT\nGlenfvLJJwgPD8esWbPw9NNPW7T91FR+4C9ZwovZwIHA0qVMdbBhQ+uv++wzlgzKzWXvwhNPWD6H\nTQhn+fe/gb/+Fbhype3nxsYCzzzDeZ+mFBRwAcL27TyP8vKA3/++9RuMfftYTu7qVfa03Xln+9+H\noUGDeAOlr3QihBCeQrXA7Z///Cd2796NwOuTZYYPH47CwsI2X3fo0CFUVlYiNTUVNTU1OHjwYOPv\nVq9ejZdeeglbtmzBiy++2Pj473//eyQnJ2P16tUWta2hgfNsIiOZGyohAfjXv5gywNwwyaRJvCuX\nCczCndTX85hvaLDs+b6+nPd57BiHRPXy8xm4zZsHLFvG82fyZPPbGj6c80gDAoA1a4C9e9v9Nox0\n7cpz11zpLiGE6IhUC9x8fX2NUoHU19dfH/s3Ly0tDXPmzAEAJCYmYq/BJ/3Ro0cRHR0Nf39/BAYG\nouJ67oHXXnsNCQkJFueIe+ABrkjbvJlzavRpDKqqjHslCgrYo6A3cyZX1TkiW39dHfDBB8Cnn7J9\nQrTX0qXA737X+nCmKVu2AO+9x541ADh+HHj2WeY4vHKFPdZ33NH2fLDQUJ5voaEMIGXyvxBC2EbV\nOW4vv/wyqqqqsHXrVrz99tuYP39+m68rLS3F0KFDAQBBQUE4fvx44+8aDLoMAgMDUVpaittvvx33\n338/ioqKcOONN+LgwYNtBogHDjRldB8wgMMtgwdztal+6HP7duDttzmH7Q9/cHyy19pa9nB4ebGt\nzfNYCWEpb2/rj5/CQiaT1neS5+fz3PDy4krn7GzrcumNHs2kyZ40tLl/P/+dMsW57RBCdCyqhQOr\nV6/Ghx9+iMjISLz33nu4+eab8eCDD7b5uqCgIGi1WgCAVqtFcHBw4+8Mi9Xrf9ft+nLLXr16YcSI\nESgoKEBYWFir29dqgR9/5Pd//GPThO0+fYxXlKancwGDVstcao8+auk7t4+uXTnp2stLgjbheDEx\n7IXWryydMYOB2smTnLd2/Lh1gduBA8DBg1wx6gnF3K9d4+cGwLl4zVMNCSFEe6kWEnTq1Am//vWv\n8etf/9qq18XExOD999/HnXfeiaSkJCxbtqzxd2PHjkVaWhoiIyNRXl6Obt26oby8HAEBAaiqqsLZ\ns2fRu5XVAqtWrWr8vkePBISEJOD117nIICKCq+X27gVuvpkrTBcvBqZPZ++CYb1DR5KFD8KclJQU\npKSk2G17Ol1TCo7Ro41zB3p5MVALC2OSXX3Jq1OngP/+l0mtza2ADg/nuWSY3NeU8nJg61ZuX18D\ntTVZWTxHbKk9qhZ/f/5NAAnahBD2pVoet927d2PVqlXIyclBfX09FEWBRqNBVlZWm6997LHHkJ6e\njgkTJuD111/HypUr8eabbyI3Nxf33Xcfqqur8cILL2D27Nl44YUX8OOPP0JRFDz55JO44447Wr7J\nZvlQMjNZNeHQoaYyOFVVLFE1eTJX4LXH1q1AdTUT6HZSbfag/el0bK8FUxCFC7Mlv9XevZzXdvvt\npuuL5uZy+kBCAquC6O3aBSQltZ3HTatlKbmoKPNF53fsAN58k8977rnWn3fmDFfLDhgALF/e1rsT\nHYnkcXP0Nuy7HVf+v3MlTsnjtnz5crz22muYOHEivKysxvz6668b/fzmm28CAPr164dt27YZ/e5P\nf/oT/mQuo6cJ27YxZ1t+PvNV6XSsq1hX1/45ODodL34NDeypMxjhdWmlpcC773KY+P77nd0a4Sin\nT/NGZe5cLjCoquIimKoq08//+muWZCsqAh57rOnx2FgGT61VENHLyOD0g8pK84Gbnx+T4LbVi9az\nJxASIjVrhf2EhQ1GQUGOs5shRJtUC9yCgoIwb948tTZvk5tvZtWDoCDWHD13jitIX3ml/dv08gLu\nuYdpFNwlaAO40q+urvULtrNlZTH9SmslmET7ZGbyHDhzhoHbzJns5WqtzJS/P+dt+fsbP96pE3Oq\ntWX8eB5jrZW70ps4kXM7hwxp+btz57g6tVs3tvORR9rerxCWYtBmr94pIdSj2lDp008/DZ1Oh4UL\nFxrVKp3QWmZPFZnqciwq4iq3QYOAt97iIoU//MEzhwvLy5nixNWKwZ89y9qVffsCK1Y4uzWuz5oh\npIoKzk+LjLTs/33bNg6lJiY2zd1ypBMngC+/5HzTBx5w/P6F61BrqNS1hjjttR1Xagu3I0OlljF3\nnKsWuM2cObNx5wAa57hZmmvNnto60fPzefHq0YNJeDUay2uWCvWUlgKff84ySbNnO7s1rk/NuT86\nHXvoBg50zirnoiIGbmPGcIWrLbKz2dtuSRF74XokcHPXtnA7ErhZxqGB26uvvgoAjTvUaDTo3bs3\npk2bhhucNCGltT/AunUsxfPrX3MIqKoK+Nvf+LunnuJ8GyHchatP2jaUk8OgPDYWiI933H5zc5nY\nOjjYeK6ecB8SuLlrW7gdd/mMcjZzx7nd1z6Wl5ejvLwcFRUVqKioQHl5OQ4cOIB58+bhiy++sPfu\nbFJYyFxt1dX82deXc2uGDmXFhNWrucpNCGHaiRPAX/7CHG3WKC3leWdJ/VR7Cg7mQoq2it0LIYSr\nUm2otLni4mIkJiYiPT3dEbsz0lrkWlHBxQQ9e7Z8TUYGV9JFRrK0T00NUx+MGMFVdEK4Glt6IoqK\nuOozOtq6hSC7dzMNTkwMV6ha4/Jl5mHr3Nm61wnPJj1u7toWbkd63CzjlHQgzfXo0cPl/sO6deOX\nKWPHcjWjPgnusWNAcjKHeH71K8e1UQhH2LWLKXI0mtYXH1RVsVfaMEdhbCwXDJgpVtKqtuqcCiGE\naMlhaWK3b9+O7t27O2p3Fisubn24pm/fpt6AykpOam4t0BPCnU2dypQd+soG9fU83nU6/pyTw8TU\n33xj/DqNhkOPVqZqFEII0U5273GLjIxsUeS9uLgYffv2xaeffmrv3dmkvp7JZ3U64IknuEChqAi4\ncIE5rQwvRn5+HCZtK9GoEO6oTx/g1lubft6+nb1wCQnM8eYoOh0rmtxwg+kpDEII4ensHrh9//33\nRj9rNBr07NkTXV2wYJ+XF8v31NYCP/3EAtp+fizP4+NjnCx0yhQpFi08R3ExkJbWVH900CCutDZI\nyaiKI0eA779n4CaVPIQQoiW7B26DLEmj7kQlJRzuGT2aE7Hvu4+Pr1vHAG7sWK40NfU2JGgTniIk\nhAsOevVqeqxLl/ZvLy+PAVl0tPnqCUOGAMOGma6XKoQQwoGLE1xFTg6LXV+8aFyX9Je/ZE+bDM8I\nwSHSiIimxTm2OnmSqXUUpfXArbKSK1qXLLHPPoUQoiNy2OIEV+HjwwvErl1MZaDXubMEbULoaTTs\ndbNXCTiNhoXjW0v9ceYMk183m2khhBCiGY/rcRs2jCVzTp82TmsghFDPxInMmxgVZfr3+gBRzkkh\nhDDPYQl4nclUIruqKtvm7Ajhatyp5JUp1dVc/GCvXj7RMUkCXndtC7fjzp9RjuTQklfuoLJS6pAK\nYW8VFba93s9PgjYhhGiLxwVuJ04AL70EPPQQsH69s1sjRMeQns45atu3Nz2WlsakvdnZzmuXEEJ0\nNB4XuGk0HCYtKmJh7E8+cXyhayE6Gv3cNMM5avn57N2+etX67ZWUAJ9+ymS8lsrLA65ds35fQgjh\nTjxucUJ4OBcodOrEHFXZ2UBWlv3SHgjhiaKigJEjjeeN/uIXXJTQv7/128vJ4XnZ0NCUBNic8+eB\njz/mvh580Pr9CSEcwbdFZSVrhYYOQn7+efs0x015XOAGAAMHMtnu7bezN2DcOGe3SAj313yxT+fO\nwIAB7dtWZCRzvg0caNnzAwP51Z5i90IIR6mBrYscCgpkIqzHrioVoqOR41x4gubH+cmTJ6HVam3e\n7tSpU+FqKzA74qpSe7wnT/icM/d57nE9bgUFwD//yZJW998PeHvcX0AI+8vJATZtAuLjWXFBtO7Q\nIfb4T53q7Ja4v/z8fIwdOwH+/mNs2k5tbaGdWiSE+jwubNm+HUhKArp3B+64AwgOdnaLhHB/58/z\npujcOfcN3H7+mZ8Hw4ert4/aWuC//+X3I0fK54+tampq4OPTG2Vl+23c0rsAHrZHk4RQncetKp0+\nHejXD6ivB/bbeq4L4eEKC4Evv+RctkWLgBtvdHaL2ufyZeCHH4ANG9Tdj48P/0YJCUBQkLr7EkJ0\nTB7X49ajBy8yp04BubnObo0Q7i0jg7kRfX2B225zdmvaLyQEmDSpqV5xQwOQnMzgavJk++4rNta+\n2xNCeBaPC9xOnwb8/Tmcc8stxr+rqWGakNYKYQshjMXEsBdp7Ni2n1tZyXPPFasjeHsbfx5cuQLs\n2gV4edk/cBNCCFt4XOA2ahQwaxYwdKhx7rZr14C33mLPwcqVUuxaCEt07coFCW3JzGSlkpgYYO5c\n9dtlq5AQDmkGBjq7JUIIYczjwhMfH2DKFGDrVn7paTT8koBNCPvTn1+u2NtmikbDIc0xti1WFDY4\ndw54+21OaxFCNPG4HjcAKC4GLl1i6as5c/hYly7A449L8CaEGkaPBv7wBxaSF8IS589z8UtWFlfg\nCiHIIwO3gQOBpUuZEgTgirI9ezjkExLi3LYJ4Q4KC4HUVA599utn2WskaBPWiI8H+vRhiUIhRBOP\nDNwAznHTO3AAOHaM81ncNZ2BEI505AjPGR8fywM3IazRuTN7aoUQxjw2cDMUHw8EBDAdgBCibdHR\nXIlpSQF4IYQQ9iOBG5i9fOZMZ7dCCPcRECDnjBBCOINHTsOvqGDONiFEx6XVAnV1zm6FEELYl8cF\nbqWlwOuvA++95+yWCCHUkpfH83ztWme3RAgh7MvjAjdvb06o9vd3dkuEEGrp3Jnnepcuzm6JEELY\nl8fNcevWDXjySfdJBCqEsF6vXsDTT0tORiFEx+NxgRsgH+ZCeAI5z4UQHZF8tAkhhBBCuAmPDNwu\nXgQ++AA4edLZLRFCOEN1NRcuGNYrFkIId+CRgdu5c0BurhQvFsJTXb3Kz4EjR5zdEiGEM4SFDYZG\no7H5KyxssMPb7pFz3OLiWKd0+HBnt0QI4Qz9+gGLFzP5thDC8xQU5ABQ7LAdx690dMketyeeeALx\n8fF4/PHHjR7Py8vD7NmzMW3aNGzbtg0AUFFRgQULFmD69OlYa2HSps6dgXHjJCWIEJ5s5EggNNTZ\nrRBCCOu4XOB26NAhVFZWIjU1FTU1NTh48GDj71avXo2XXnoJW7ZswZ///GcAwAcffIDFixcjNTUV\n//rXv1BfX++spgshhBBCqMrlAre0tDTMmTMHAJCYmIi9e/c2/u7o0aOIjo6Gv78/AgMDUV5e3vh8\njUaDqKgonJQVB0IIIYTooFwucCstLUVgYCAAICgoCKWlpY2/a2hoaPxe/zvD5wcGBho935SDB4E5\nc4Dt21VovBAe4to1YPduoKCA/2q1fLy6Gtizh6XlDNXU8PHiYv5cWwvs3ctFAkIIISzncoFbUFAQ\ntNevAlqtFsEGs4c7GWTULCsrQ/fu3REcHNzq80156CFg507g4YdVaLwQHmL3bqbSeP99/qu/EUpL\nA7ZsAa5PQW104AAf37KFP6enAz/9BPz4o2PbLYQQ7s7lAreYmJjGhQdJSUmIjo5u/N3YsWORlpaG\nyspKlJeXo1u3boiOjkZSUhJ0Oh2OHDmC8PBwk9tdtWoVVq1ahZCQVfDzex1Lljjk7dgkJSXF2U2w\niLu0E3CftlrSzpSUlMbjetWqVaq3ydCYMcCIEcC8efw3KoqPjx7NSf/jxxs/Pzycj9fXpwDg9+Hh\nwKRJDm12m1z9+JD2taTTVTt8n+pIcXYD7CRF5e372iWNh/3eh33aY1VaEcUFPfroo8r06dOVRx99\nVFEURfntb3+rKIqiXLp0SZk1a5YSGxurbN26VVEURdFqtcott9yixMXFKZ988onJ7TV/m88//7x6\njbcjaaf9uUtb29NOFz2djbj631/aZxtHtM/wOD9//rzSuXOgAig2fr2jALDDdhQbtvO8nbZj721Y\nu53m78Nd3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Oc//5neeecdIiLasWMHzZ8/X/ostm7desfPMD4+XspNRHT9+nVpCZqcnBx6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\nP4DcItHweIUkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8bda49b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['Sample_size', 'Median', 'Unemployment_rate']], figsize=(10,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3e8bbda550>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CsgXu3r5bSxERQp4ncXFxiIuLe6rX1pjELS0tkZaWJmzfvn0blpaW/zi4iklcrjIzMoGQ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\nRZyIqAVjESciasFYxImIWrD/Az32i7Zq5cqkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8bc54198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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CiIJRESeEEAWjIk4IIQpGRZwQQhSMijghhCgYFXFCCFEwKuKEEKJgVMQJIUTBqIgTQoiC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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3e8c62e438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10].plot.bar(x='Major', y='ShareWomen', legend=False)\n",
    "recent_grads[163:].plot.bar(x='Major', y='ShareWomen', legend=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}