Guided Project - Visualizing Earning Based on College Majors.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "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/plain": [
       "Rank                                        1\n",
       "Major_code                               2419\n",
       "Major                   PETROLEUM ENGINEERING\n",
       "Total                                    2339\n",
       "Men                                      2057\n",
       "Women                                     282\n",
       "Major_category                    Engineering\n",
       "ShareWomen                           0.120564\n",
       "Sample_size                                36\n",
       "Employed                                 1976\n",
       "Full_time                                1849\n",
       "Part_time                                 270\n",
       "Full_time_year_round                     1207\n",
       "Unemployed                                 37\n",
       "Unemployment_rate                   0.0183805\n",
       "Median                                 110000\n",
       "P25th                                   95000\n",
       "P75th                                  125000\n",
       "College_jobs                             1534\n",
       "Non_college_jobs                          364\n",
       "Low_wage_jobs                             193\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_grads = pd.read_csv('recent-grads.csv')\n",
    "recent_grads.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  <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",
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       "      <th>Sample_size</th>\n",
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       "      <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",
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       "      <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",
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       "      <td>1534</td>\n",
       "      <td>364</td>\n",
       "      <td>193</td>\n",
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       "      <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",
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       "      <td>170</td>\n",
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       "      <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",
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       "      <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",
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       "   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]"
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_grads.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
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   "outputs": [
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       "      <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",
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       "      <th>168</th>\n",
       "      <td>169</td>\n",
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       "      <td>ZOOLOGY</td>\n",
       "      <td>8409.0</td>\n",
       "      <td>3050.0</td>\n",
       "      <td>5359.0</td>\n",
       "      <td>Biology &amp; Life Science</td>\n",
       "      <td>0.637293</td>\n",
       "      <td>47</td>\n",
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       "      <td>2854.0</td>\n",
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       "      <td>2332.0</td>\n",
       "      <td>Psychology &amp; Social Work</td>\n",
       "      <td>0.817099</td>\n",
       "      <td>7</td>\n",
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       "      <td>2838.0</td>\n",
       "      <td>568.0</td>\n",
       "      <td>2270.0</td>\n",
       "      <td>Psychology &amp; Social Work</td>\n",
       "      <td>0.799859</td>\n",
       "      <td>13</td>\n",
       "      <td>2101</td>\n",
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       "      <td>648</td>\n",
       "      <td>1293</td>\n",
       "      <td>368</td>\n",
       "      <td>0.149048</td>\n",
       "      <td>25000</td>\n",
       "      <td>25000</td>\n",
       "      <td>40000</td>\n",
       "      <td>986</td>\n",
       "      <td>870</td>\n",
       "      <td>622</td>\n",
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       "      <th>171</th>\n",
       "      <td>172</td>\n",
       "      <td>5203</td>\n",
       "      <td>COUNSELING PSYCHOLOGY</td>\n",
       "      <td>4626.0</td>\n",
       "      <td>931.0</td>\n",
       "      <td>3695.0</td>\n",
       "      <td>Psychology &amp; Social Work</td>\n",
       "      <td>0.798746</td>\n",
       "      <td>21</td>\n",
       "      <td>3777</td>\n",
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       "      <td>965</td>\n",
       "      <td>2738</td>\n",
       "      <td>214</td>\n",
       "      <td>0.053621</td>\n",
       "      <td>23400</td>\n",
       "      <td>19200</td>\n",
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       "      <td>2403</td>\n",
       "      <td>1245</td>\n",
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       "      <td>173</td>\n",
       "      <td>3501</td>\n",
       "      <td>LIBRARY SCIENCE</td>\n",
       "      <td>1098.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>964.0</td>\n",
       "      <td>Education</td>\n",
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       "      <td>2</td>\n",
       "      <td>742</td>\n",
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       "      <td>410</td>\n",
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       "      <td>288</td>\n",
       "      <td>338</td>\n",
       "      <td>192</td>\n",
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       "     Rank  Major_code                   Major   Total     Men   Women  \\\n",
       "168   169        3609                 ZOOLOGY  8409.0  3050.0  5359.0   \n",
       "169   170        5201  EDUCATIONAL PSYCHOLOGY  2854.0   522.0  2332.0   \n",
       "170   171        5202     CLINICAL PSYCHOLOGY  2838.0   568.0  2270.0   \n",
       "171   172        5203   COUNSELING PSYCHOLOGY  4626.0   931.0  3695.0   \n",
       "172   173        3501         LIBRARY SCIENCE  1098.0   134.0   964.0   \n",
       "\n",
       "               Major_category  ShareWomen  Sample_size  Employed  \\\n",
       "168    Biology & Life Science    0.637293           47      6259   \n",
       "169  Psychology & Social Work    0.817099            7      2125   \n",
       "170  Psychology & Social Work    0.799859           13      2101   \n",
       "171  Psychology & Social Work    0.798746           21      3777   \n",
       "172                 Education    0.877960            2       742   \n",
       "\n",
       "         ...        Part_time  Full_time_year_round  Unemployed  \\\n",
       "168      ...             2190                  3602         304   \n",
       "169      ...              572                  1211         148   \n",
       "170      ...              648                  1293         368   \n",
       "171      ...              965                  2738         214   \n",
       "172      ...              237                   410          87   \n",
       "\n",
       "     Unemployment_rate  Median  P25th  P75th  College_jobs  Non_college_jobs  \\\n",
       "168           0.046320   26000  20000  39000          2771              2947   \n",
       "169           0.065112   25000  24000  34000          1488               615   \n",
       "170           0.149048   25000  25000  40000           986               870   \n",
       "171           0.053621   23400  19200  26000          2403              1245   \n",
       "172           0.104946   22000  20000  22000           288               338   \n",
       "\n",
       "     Low_wage_jobs  \n",
       "168            743  \n",
       "169             82  \n",
       "170            622  \n",
       "171            308  \n",
       "172            192  \n",
       "\n",
       "[5 rows x 21 columns]"
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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "recent_grads.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
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   "outputs": [
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       "      <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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_grads.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "173\n"
     ]
    }
   ],
   "source": [
    "raw_data_count = recent_grads.shape[0]\n",
    "print(raw_data_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "172\n"
     ]
    }
   ],
   "source": [
    "recent_grads = recent_grads.dropna()\n",
    "cleaned_data_count = recent_grads.shape[0]\n",
    "print(cleaned_data_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfea181358>"
      ]
     },
     "execution_count": 9,
     "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 0x7fbfec344908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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c+v32lM+iq0hnhkO1tbXy5ZdfyqFDh6S2ttZuw6ytW7dKbGysREdHt1u14JFH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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfea245cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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TJ0/i/vvvx+XLlxEUFATAlMgaGxsBAAaDAWFhYco2ISEhMBgMMBgM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\ncTsTE74AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfea2229e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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K98GsdA8uI0eO9Hjd2trq9Z4af/7zn2XGjBnu13/4wx/koYce8tjmhhtukM2b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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfea1e7c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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1gF5zDccWA3rVOg4ROb4BdZzYsmULjh07hsDAQBw+fBhFRUXw8vKydd5IZT4+PnjjjXS4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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfea1b9dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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D/9uzz9vAXmALZ86c5MwZqKv7c6seCV7vLQw9IhXpOPwycOKPf/wjUVFRpKWl\nUVRUdNHtmgawa2WXGIWyaNEi7/cZGRlkZGS02XGvRVlZGV26xFBfn4p7Nd5aIBp3MKoFPsM9HL0Y\nmAnE4Q5i0Z5/4dyQ9Vpamrh6/qCBzrCkhhLeily5oqKiS96v24tfgtTmzZtZt24db7/9NqdPn+bk\nyZNMnz6dvn37eltTFRUV9OnTB3C3nA4fPuzdv7y8nOjo6IuWN92nf//+1NfXc+LECSIiIlqsT9Mg\n5STx8fEEBBzBnVj2Odwpkf4PcBZ3d+KtwH8CNwIrgVLcE3tdnn/BPVm1HPev+tIJXpu2MNw38F3k\n5NxLZubYDnPzbs2Q8vZKeOuL4ewaMi/+cv4H+MWLF/vmwD55qHgJRUVF3j6pp59+2tv3lJeXZwsX\nLjQzs927d1taWprV1tbagQMHbMCAAdbQ0GBmZunp6bZ161ZraGiwCRMm2Pr1683MbNmyZTZnzhwz\nc/dVTZ06tcXjO+ASXNLLL//a07/0mUGlwW8NuhkEe8r7NuuzCg7uYVlZEzxlCQahFhQUaUFB3S0o\nqLv16DH0on0wxcXFFhY2wsC8X716Dbfi4mI/nPmVu5J+prZOeOuLPi71o4mT+Ore6fc7dNMg9eWX\nX9o3v/lNS0xMtHHjxtmxY8e82y1ZssQGDBhggwYNssLCQm/59u3bbejQoTZw4EB7/PHHveU1NTX2\nwAMP2MCBAy09Pd1KS0tbPL7Tg1RxcbH17Dnc4NcGvQxSDG6wgIBQg00GEZ4AZgafWWhohFVWVtqe\nPXvsjTfesA8//NCeffZnFhoaYT17DreuXcPt5Zd/3eKxKisrLTS05fdzuqupe1tl+vbFdevIvxu5\nPnWaIOVvTg9SlZWVFhTU3dMyGuIJVD/xvH7RE7Qu3vK50pubE5fUaA1/tgJ9ceyO3sqV64+v7p3K\nONEBBAQEAv8EvAL0BfJwj+D7Ne4+qp8C3wZc1Nb+H3r06OHd99xcq1rcgy8uPUhg2rSpZGaO7XD9\nHv5cWNEXx3bywpEi7UkJZh2urKyMhoauwK+A/sD/xT1yLxR3qqRFuJfxmAx8D7NobrvtLl555VW2\nbdvGn/70ASdP/g14GBgE/M/L3tyctKRGa/kzYawvjq2EuNJZKcGswxPMbt68mbvuysSddeIM7swS\nPwVeBubhXvQwF1gILAZm4W5pvURoaBynTx8GFnj23wWk86Mf/ZAf/tCdQupKFim81Miythx1VlVV\nxc6dOwHU6qrGAAAV20lEQVSuOFmuP0e/Xe2xr2Q/je4Tp/DZvdMnDxUdzOmX4NFH57aQcSLQoLun\nrHGUX4Ln3/Nfx3r+/bXBKoMbrHv3YZfNQHH+SLJ585646Miythx1tnLlKgsJCfNk0XCPVuwo/WJX\nQyP2pKPy1b3T2XdoH3BykKqsrPTcsJsOPw/zDEF/w+BVT9DaZLDH4N886ZL+y7P9rwx6eF6He/Zt\nfK/eFx1McW6wxSaDYs/+oS1ufy2jzs4fXdfSe0Fv69Yt3BGj2NpqNGDT99OIPemofHXvVJ+Ug5WV\nlREYGAuU4O5P+jnnHvn9N+AZ3I/7xgPDgDc8e/4rkODZvgH4PtAN6Im7070M91L0jZksPqehIZRN\nmzZ5jwvhwP3AdNzZLMJpKWPF1S7DXlCwmri4QYwb9yhxcYMoKFjtybARS/MFHuMJDOzT4vv5Mn1T\nS/W9Vu29hP31nt5KOgmfhEIHc/IlqKystK5dw85r9WzytJZ62bnEslGe1lXjMPVQzzD1c60R6GZd\nu/Y6ryX1nEHPZo8S58173Pbs2eM5Rm+DEXYuae2mNmlJXWyfPXv2tLol5cvHZO3V4mnPlpQeI0p7\n89W907l3aB9xcpAyM3v22Z95gpF5gsuLnoD0W8/rTZ4A0xi0IjzBJ9zzCLDYYKh17XqrPfvsz6xb\nt3C74YZbrUuXrp5A1Pg+54LZq6++6nnPpsHiBgsJ6dHi/KmVK1dZt27h1r17onXrFn7ZG6J7gnKK\np26V1nTOz7k+qXMZNM5/P18/JmvLOUrnPzK8mnlpl3vsqMeI4gsKUj7i9CB17obznCcA3expKaWY\nu4+ph+eG3tvcAyM+82wX4wlUw8ydGqm7vfzyry04uKcnADVd3iPCs+9wg1h76qmnmgTGxq8Btnr1\n6hZvjo032u7dh7XqRnsu1dMwb1A9v0+ssLDQCgsLW7yx+npia1vd9C/WurmSvq7WtJA08ff609b9\noW1BQcpHnB6kzJre1C9Mg+QOTo0toQhP6+kWT2vr3ICLoKAensd9vc/bv3GARG9zP/oLsd///vdN\nBmy4twsJCWvxP8iV3sBbHhwRetFUTa19j/ZuKVxrJo62qHNr30MtqeuLUx/dKkj5SEcIUufy9xWb\nu4+oaQunsdw8wencozJ4whOERhjcYEFBN7Wwf6pnf3ei2pCQZM+Q88c9raPUS/7HaP6pvdKg2Hr0\nGHrRT+0tfcrv2TPtij/l+yN907V8mm2L1s2VvEdHTW8lzTn5A4eClI90hCDVfEh406HhmzytnxfN\nPSS9q7mHoe/x/Kxp39VnntZY8xaS+/1aHmK+Z8+ey96Uz9XtJ+buF3MP3Hj++Z+3uG9b/qdz4iOQ\ni/FlS6rp9h3l+kjLnPzoVkHKRzpCkDI798k4KKiPNZ+sG9Lk+yBrXDIexnhaUyOssc8pNHSoZzn6\nGzytrVDr1i3eunbtZaGhl05UeykPPfSINe9j+p5BqPXs2fKn+M76Kb8tzruzXrvOSi0pM6VFcnha\npEZVVVVs2rSJ6dMfpq7uA6Af8C4wF9gPHAHSgZdwL4r4JFAAfAd3OqQMunUzduz4yLtQZGxsLKdO\nnaJHjx7cdttdnD69icbkpaGh93Lw4OetStMTG5tIbe2fvPvCHbiXr8+46Ht11vQ+bXHenfXadVaN\nq2UHB8dx5sxBx6yWrbRIPtIRLkHT0XPuVtDjzfqa4GfmHp3X1ZqP3JvTpHU0wJ599meXPcaVfkI/\n11/WtJ8rwc71kznn8YRIR+XER7e+uneqJeXwllRVVRVxcYOatXLOb6m4/z2Le4n4oibbfYPGVtbF\nWkZNP5XDhQlnS0pKKC4uZtSoUSQnJ19V/VrbKhORjsNX906lRXK4llLnQDTu5TrA/divOxDCuVRH\njdvdRPfud110WYfzU/1s3Ph+syU6HntsPoMH38asWUsYPPg2HnvsiQvq13QJiZ49h9O16z089ND3\nCQ39rpaUEJFrppZUh25JHQXmADcCLiAAeBUYBxyhW7cM1q5d1eJyF83f192/1a3bf+PQoX1ERkZS\nUlLC4MG3AVuaHXfPnk8u2qJq7bIeItLxqSUlQMuL3c2b9zBdu07Gnfj1f+N+pLcId7LZn+JOyjqa\n1177FVlZWS0GiXMttHPJa2tq6njllVcBKC4uBs5P9hrjKW+5nk1bYR1x4UQRcR61pBzekmrUtGWy\nceP7zJ79KLW1fYAvcC9y+COg9aPzqqqquPnmRGpqAmjaj9W43xdffHFFLSkR6VzUkpJmIiMj6dGj\nB6tWrWL27Ec8Q7734g5MC3A/smv9kg+RkZH8678+jftR4YX7JScnM2/ew7gfLSYCdzBv3sMKUCLi\nU2pJdZCW1GOPzeeXv/w17kdwh4GHgaWenyYCh4BirmSeU0v9Xefvd7nRfSLSOfnq3qkg1QGC1MUG\nMcAnwBm6dr2H//E/fsJPf/qzK57w59SJgiLibApSPtIRgtSKFSuYNWsJ7sd7VbhX1p1Kt271BASc\n8gaWqx1Rp5F4InKlFKR8pCMEqXMtqUXAc7gf+e3j8ccf4b//939VYBERn1OQ8pGOEKQAfvCDh8nP\n/y1NH/kpk4OI+ItG90kzDz74AKGhsbhH8UFrRvCJiHR0ClIdQEHBar7znWmcPt0AJAGrgV2cOXPQ\nm3NPROR65JcgVV5eztixYxkyZAgpKSm8+OKLABw7doysrCySkpIYP348x48f9+6Tm5tLQkICycnJ\nbNiwwVu+Y8cOUlNTSUxMZP78+d7yuro6srOzSUhIYPTo0Rw6dMh3J9iGqqqqyMmZ6xkmvh/3xNuH\n6NbtHuXEE5Hrnl+CVFBQEL/4xS/YvXs3H3/8McuWLePzzz8nLy+PzMxM9u7dy9ixY8nNzQVgz549\nrFmzhpKSEtavX8/cuXO9z0LnzJlDfn4++/btY9++fRQWFgKQn59PREQE+/fvZ/78+SxYsMAfp3rN\nWkow2737QNauXa2h4iJy3fNLkOrbty9paWkA9OjRg+TkZMrLy1m7di0zZ84EYObMmbz11lsArFu3\njuzsbIKCgoiPjychIYHi4mIqKio4efIkI0eOBGDGjBnefZq+15QpU3jvvfd8fZptIj4+nrq6Mtxz\nowB20dBQzvDhw/1YKxER3/B7n1RZWRmffvopd9xxB0ePHiUqKgpwB7LKykoAXC4XsbGx3n2io6Nx\nuVy4XC5iYmK85TExMbhcrgv2CQwMJDw8nOrqal+dVptpKcGsHvOJSGcR5M+Dnzp1iilTprB06VJ6\n9OhBQEBAs5+f//padIRh5hczbdpUMjPHasKtiHQ6fgtSZ8+eZcqUKUyfPp3JkycDEBUV5W1NVVRU\n0KdPH8Ddcjp8+LB33/LycqKjoy9a3nSf/v37U19fz4kTJ4iIiGixLosWLfJ+n5GRQUZGRhuf7bWL\njIxUcBIRvykqKqKoqMj3B27v9ekvZvr06fbkk082K1uwYIHl5eWZmVleXp4tXLjQzMx2795taWlp\nVltbawcOHLABAwZYQ0ODmZmlp6fb1q1braGhwSZMmGDr1683M7Nly5bZnDlzzMysoKDApk6d2mI9\n/HgJREQ6LF/dO/2ScWLz5s184xvfICUlhYCAAAICAliyZAmjRo3iwQcf5PDhw8TFxbFmzRrCw8MB\n9xD0/Px8goODWbp0KVlZWQB88sknzJo1i5qaGiZOnMjSpe7M4LW1tUyfPp2dO3dy4403smrVqhbn\nFHWUjBMiIk6itEg+oiAlInLllBZJREQ6PQUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUp\nERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFx\nLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUpERFxLAUp\nERFxLAUpERFxLAUpERFxrOs+SL3zzjsMGjSIxMREnnvuOX9XR0RErsB1HaQaGhqYN28ehYWF7N69\nm4KCAj7//HN/V+uqFBUV+bsKraJ6ti3Vs211hHp2hDr60nUdpIqLi0lISCAuLo7g4GCys7NZu3at\nv6t1VTrKH67q2bZUz7bVEerZEeroS9d1kHK5XMTGxnpfx8TE4HK5/FgjERG5Etd1kBIRkY4twMzM\n35VoL1u2bGHRokW88847AOTl5REQEMDChQu92wQEBPireiIiHZovwsd1HaTq6+tJSkrivffeo1+/\nfowaNYqCggKSk5P9XTUREWmFIH9XoD0FBgbyy1/+kqysLBoaGsjJyVGAEhHpQK7rlpSIiHRs193A\nicWLFxMTE8OIESMYMWKEtz8KIDc3l4SEBJKTk9mwYYO3fMeOHaSmppKYmMj8+fO95XV1dWRnZ5OQ\nkMDo0aM5dOiQ92crVqwgMTGRpKQk3nzzzXY9J39MSI6Pj2fYsGEMHz6cUaNGAXDs2DGysrJISkpi\n/PjxHD9+3Lt9W17bS8nJySEqKorU1FRvma/qdSW/85bq6bS/zfLycsaOHcuQIUNISUnhxRdfdOT1\nPL+eL730kiOvZ21tLenp6QwfPpwhQ4bwL//yL468nherp9Oup5ddZxYtWmQ///nPLyjfs2ePpaWl\n2ZkzZ6y0tNQGDBhgDQ0NZmY2atQoKy4uNjOzCRMm2DvvvGNmZsuXL7c5c+aYmdmqVats6tSpZmZW\nXV1tt956q3311Vd27Ngx7/ftob6+3gYMGGBlZWVWV1dnw4YNs5KSknY5VlO33HKLVVdXNytbsGCB\nPffcc2ZmlpeXZwsXLjQzs927d7fZtb2cDz74wHbu3GkpKSk+rdeV/s5bqqfT/jaPHDliO3fuNDOz\nkydPWmJiopWUlDjuel6snk67nmZmX3/9tZmZnT171tLT0+3DDz903PW8WD2deD3NzK67lhS0POJk\n7dq1ZGdnExQURHx8PAkJCRQXF1NRUcHJkycZOXIkADNmzOCtt97y7jNz5kwApkyZwvvvvw9AYWEh\nWVlZhIWFER4eTlZWVrNPHW3JXxOSzYyGhoZmZU2vx8yZM73Xad26ddd8bd97771W1euuu+6id+/e\nPqvX1f7OW6pn43U9n7/+Nvv27UtaWhoAPXr0IDk5mfLycsddz5bq2Tjf0UnXE+CGG24A3K2VhoYG\nevfu7bjrebF6OvF6wnX4uA/gl7/8JWlpafzgBz/wNq3Pn9gbHR2Ny+XC5XIRExPjLW864bfpPoGB\ngYSFhVFdXX3R92oP/pqQHBAQwLhx4xg5ciS/+c1vADh69ChRUVGA+8ZRWVnZYh2v5tqGh4dTXV19\nVXWtrKxst3q19e/cqX+bZWVlfPrpp9xxxx3t+ntuq3qmp6c78no2NDQwfPhw+vbtS0ZGBoMHD3bk\n9Wypnk68ntBBg9S4ceNITU31fqWkpJCamsrvf/975s6dy4EDB/j000/p27cvTz31VJsdt6VPGder\nzZs3s2PHDt5++22WLVvGBx98cMGcsracY9aW19ap9XLq3+apU6eYMmUKS5cupUePHo79PZ9fTyde\nzy5durBz507Ky8v54IMPKCoqcuT1bFrPP//5z/zpT39y5PWEDhqk3n33XXbt2uX9+stf/sKuXbv4\n9re/TWRkpPeP4OGHH6a4uBhwR+zDhw9736O8vJzo6OiLlp+/T319PSdOnCAiIoLo6OhmHYFN92lr\nvjxWU/369QMgMjKS73znOxQXFxMVFcXRo0cBqKiooE+fPt46ttW1vRq+qFdb/B6c+Ld59uxZpkyZ\nwvTp05k8eTLgzOvZUj2deD0b9erVi4kTJ7J9+3ZHXs+m9fzWt77F9u3bnXs9L9lj1QEdOXLE+/0v\nfvELmzZtmpmd66Ssra21AwcONOv8S09Pt61bt1pDQ4NNmDDB1q9fb2Zmy5Yt83b+FRQUtNj51/j9\nsWPH2uV8zp496x04UVtba8OGDbM9e/a0y7Eaff3113by5EkzMzt16pSNGTPGCgsLbcGCBZaXl2dm\nLXcAt8W1bY3S0lIbOnSo97Uv6nU1v/Pz6+nEv83p06fbk08+2azMidezpXo67XpWVVV5BwH8/e9/\nt7vvvts2btzouOt5sXo67Xo2uu6C1PTp0y0lJcWGDRtmkydPtoqKCu/PlixZYgMGDLBBgwZZYWGh\nt3z79u02dOhQGzhwoD3++OPe8pqaGnvggQds4MCBlp6ebqWlpd6fvf766zZw4EBLSEiwFStWtOs5\nrV+/3hITE23gwIGWm5vbrscyMztw4IANGzbM0tLSbOjQod5jfvnll/bNb37TEhMTbdy4cc3+uNry\n2l7KtGnTrF+/fhYSEmKxsbH22muvWXV1tU/qdSW/85bq6bS/zQ8//NC6dOni/V0PHz7c1q9f77Pf\n87XW02nXc9euXTZ8+HBLS0uz1NRUe/75583Md/9vrrWeTruejTSZV0REHKtD9kmJiEjnoCAlIiKO\npSAlIiKOpSAlIiKOpSAlIiKOpSAlIiKOpSAl0sZ++MMfepe9ALjvvvt45JFHvK//+Z//mRdeeMEf\nVRPpcBSkRNrYnXfeyUcffQS4c5Z98cUX7N692/vzjz76iDFjxvireiIdioKUSBsbM2aMN0jt3r2b\noUOH0rNnT44fP05dXR2ff/45w4cP5+mnnyYlJYVhw4axZs0aAP70pz+RkZHBd77zHQYOHMiPfvQj\n/vM//5NRo0YxbNgwSktLAfjiiy+YMmUK6enppKen8/HHHwPuhetycnK49957GThwoHeBQJGOKsjf\nFRC53vTr14/g4GDKy8u9rSaXy8XHH39Mr169SElJ4fe//703OXJlZSUjR47knnvuAWDXrl18/vnn\nhIeHc8stt3iTfb744ou89NJL/OIXv+CJJ57ghz/8IWPGjOHw4cOMHz+ePXv2ALB3716Kioo4fvw4\nSUlJzJ07l8DAQH9eEpGrpiAl0g7GjBnD5s2b+eijj3jqqacoLy9n8+bNhIWFceedd/Lhhx8ybdo0\nAPr06UNGRgbbtm2jZ8+ejBw50pspe+DAgYwfPx6AlJQUioqKANi4cSMlJSXeJRBOnTrF3//+dwC+\n9a1vERQUxI033ujNwN2/f38fXwGRtqEgJdIOGh/5/fWvf2Xo0KHExMTw85//nLCwMGbPnu1dqbRR\n0xSaXbt29X7fpUsX7+suXbpw9uxZ7/Zbt24lODj4gmOfv3/jPiIdkfqkRNrBmDFj+MMf/kBERAQB\nAQH07t2br776io8//pgxY8Zw9913s3r1ahoaGqiqquKDDz5g1KhRrX7/rKwsli5d6n392Weftcdp\niPidgpRIO0hJSeHLL79k9OjRzcrCw8OJiIjg/vvvJzU1lWHDhpGZmcnzzz/vfcTX1MVWcV26dCnb\nt29n2LBhDB06lFdeeaXF7dpyFVgRf9BSHSIi4lhqSYmIiGMpSImIiGMpSImIiGMpSImIiGMpSImI\niGMpSImIiGMpSImIiGMpSImIiGP9P9qACk3HbmD3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfea179320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Sample_size', y='Median', kind = 'scatter')\n",
    "recent_grads.plot(x='Sample_size', y='Unemployment_rate', kind = 'scatter')\n",
    "recent_grads.plot(x='Full_time', y='Median', kind = 'scatter')\n",
    "recent_grads.plot(x='ShareWomen', y='Unemployment_rate', kind = 'scatter')\n",
    "recent_grads.plot(x='Men', y='Median', kind = 'scatter')\n",
    "recent_grads.plot(x='Women', y='Median', kind = 'scatter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do students in more popular majors make more money? The median doesn't seem to be large\n",
    "Do students that majored in subjects that were majority female make more money? No, female make less then men\n",
    "Is there any link between the number of full-time employees and median salary? The more full-time employees, the less likely to earn high salary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe9f29d30>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe9f75cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Sample_size'].hist(bins=25, range=(0,5000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe9e67d68>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gY/QEJil6AjfuxzmIiYaeAADAdSQBi6h3YiicFw5iYR9JAAB8jJ7AJEVP4Mb9OAcx0Xim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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe9eb0c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Median'].hist(bins=25, range=(0,100000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe9d9ac50>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe9e252e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Employed'].hist(bins=25, range=(0,100000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfea18a080>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfea158ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Full_time'].hist(bins=25, range=(0,200000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfea1ee240>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe9b45048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['ShareWomen'].hist(bins=20, range=(0,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe9b04a90>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe9a932e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Unemployment_rate'].hist(bins=25, range=(0,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe997d940>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe99c1a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Men'].hist(bins=25, range=(0,200000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe972bcf8>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe9768320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Women'].hist(bins=25, range=(0,200000))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What percent of majors are predominantly male or Predominantly female? Looks like 53-47 ratio of men-women\n",
    "What's the most common median salary range? Close to 40K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pandas.plotting import scatter_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe9330f60>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe92a9b38>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe9278550>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe922ef98>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WlgYA+Prrr/HSSy/h9ddfV+sQ58VgMLSbQbC4uBg5OU/C4ShW9ThGYxjq6095Zi4k0rvT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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe92c7a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['Sample_size', 'Median']], figsize=(8,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe91c4748>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe9135748>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe90fdf98>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe90bad68>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe9083eb8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe90438d0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8f915c0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8f48710>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8f18940>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8rgStiSPdSyKt0/Xx+XxatGhRo58/88wzawuKi9O6detqWsjHjRun7OxsDR48WEOHDlVM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\ngAHNrx3Rj9ANoM3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YvneyEylF+iunpzcepBMS7I7V739v+9wPf3js33BVVe2+1aWLXUhv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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe914eb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['Sample_size', 'Median', 'Unemployment_rate']], figsize=(12,12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8fd37b8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8de29b0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8dabd68>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8d69710>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8d32860>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8cf4278>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8cbaf28>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8c790b8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fbfe8bc72e8>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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6nVO3S+Spmu97ROQa3PeI1GNv/2uzvKS9DiWbN2/uWlRERERERD6gzaQ7MzMT/fr1wy23\n3IIpU6bwqJmIiIiIqBParOm+cOECnnvuORw5cgQPP/wwtm3bhh49emDmzJmYOXOmq2IkIuqQCxeA\nF18E0tLUjsSzXL4MvPMOsG+f2pGQt9m8GfjoI1me3RccPAj87/8CJ06oHQm5kzaTbj8/PyxcuBDr\n1q1DVlYWhgwZgpSUFLz22muuio+IqMOKi4GyMuDcObUj8Sxnz8rl6FF1Ht9gUOdxSVkmk/Q8P34c\nqKho/fetXe/JCguB8nIZACCyaLdlYG1tLbZs2YIPP/wQubm5eOihh3Dddde5IjYiok4ZPRro1g2I\njlY7Evd18iSg1wOxsdbrEhIAf3+gf3/Xx/Pjj8CWLUBKilzI8xmNQHY2EBcH3HUXUFsL/LLGXhOb\nNgGHDwO33QYMGeLqKJUxbx4wfLg8dyKLNpPuO+64A0eOHMHixYvx17/+FWPGjHFVXEREXTJggNoR\nuK/iYuD99wGdDnjiCUCjkeu1WiA+Xp2Y/P2b/kueb/9+4KuvgGHDgFtvtX87f3/5DHrTe+/vDwwa\npHYU5G7abBmo1WoREhIiN7T8VQZgNpuh0Whg8JBzgWwZSKQOti1zT/X1wKefAmFhwNVXqx2NVW0t\nEBiodhTewR32vUuXgC++kBUrExPt385sls9kQIDrYiNSUqdaBppMJsUCIiIideh0wC23qB1FS0y4\nvUvPnsCqVe3fTqNhwk2+waEVKYmIiIiIqPOYdBMRERERKYxJNxERERGRwph0ExEREREpjEk3ERER\nEZHCmHQTEZFH8pUlxb2B2SwrTxL5MibdRETkcb77Dnj2WVlenNyb2Qy8/jrwwgtAdbXa0RCph0k3\nERF5nJoaSeZqatSOhNpjNsvCR/X1HO0m3+ZFi64SEZGvmD0bGD8e6N5d7UioPVotcP/9knDr9WpH\nQ6QeJt1ERORxNBom3J4kKEjtCIjUx/ISIiIiIiKFMekmIiIiIlIYk24iolacOwe88w5w/LjakRCR\np8nJkb8fZ8+qHQm5EybdREStOHlSvjCPHVM7EiLyNMeOyd+PnBy1IyF3womUREStmDoVCA8Hhg1T\nOxIi8jRz5gB9+wKjR6sdCbkTJt1ERK0ICAASE9WOgog8kV7Pvx/UEstLiIioTdXVwKefAnv3qh0J\nuavaWuCzz4CsLLUjIXJfTLqJiKhNZ88CR44AmZlqR0Lu6vx54NAh4Pvv1Y6EyH2xvISIiNo0ZAiw\neDEQG6t2JOSuBgwAliwBoqPVjoTIfTHpJiKiNmm1wOTJakdB7kyjASZOVDsKIvfG8hIiIiIiIoUx\n6SYiIq+ybRvwxhtAWZnakfiOigrgzTeB//xH7UiI3BfLS4iIyKucOgUUFQHFxdJrnZRXWiqTKWtr\n1Y6EyH0x6SYiIq9y662ScA8cqHYkvqNvX2DlSh7kELWFSTcREXmVsDC5kGsNGKB2BETujTXdRERE\nREQKY9JNRERERKQwJt1ERERERApj0k1EREREpDCXJ915eXno1asXZs+ejYULFwIA/ud//gfJycm4\n/fbbYTQaAQDr16/HtGnTsGzZMlRUVAAAdu7cialTp2LOnDkoLCwEAGRnZyM5ORnJyck4cuSIq58O\nEREREVG7VBnpnj9/PlJTU/HNN9/g0qVL2LVrF9LT0xEfH49NmzahoaEBa9euRXp6OlasWIE333wT\nAPDMM89g+/bteP755/Hcc88BAJ566ils2LABH3/8MZ588kk1ng4RERERUZtUSbpTU1Mxc+ZMvPTS\nS9i7dy9SUlIAAHPnzkVmZiZycnIwduxYaLXaxuuqq6uh1+uh1+sxadIkHD16FABQUlKC2NhY9O7d\nG2VcfoyIiIiI3JDL+3THxsYiJycHgYGBjaUj0dHRAIDw8HCUlpairKwMYb80WbW9LjQ0tHE7ljIU\nk8nUeJ3ZbLb7uKtXr278f1RUlDOfEhH9Ii0tDWlpaWqHQURE5HZcnnTrdDrodDoAwJIlSxAeHo6C\nggIAgMFgQEREBMLDwxtHrS3XhYWFwWAwNG7Hz88PAKDRaBqvs/1/c7ZJd0ZGBoANznpKRPSLlJSU\nxjNXAPD000+rFwwREZEbcXl5iWVSJAB89913GDJkCHbt2gUA2L59O5KSkjB06FBkZ2fDZDI1XqfX\n61FTU4PKykrs2bMHo0aNAiCj1gUFBSgsLEQ4158lIiIiIjfk8pHu9PR0PPXUUwgKCkJycjImTZrU\n2H1kwIABePTRR+Hv7497770XycnJiIyMxPr16wEATzzxBObNm4fg4GCsW7cOgIxgL1++HBqNBmvW\nrHH10yEiIiIiapfG3FYhtJfQaDRN6r0zMjKwZMnjKCvLcOrjaLU61NRUNZbPEPm65vuet/vpJ0Cn\nA+Lj1Y6EfJ2v7XuuYjIBmZlAbCwwcKDa0ZC7srf/cXEcIiInKCsDNm8GPvsMqK9XOxoiUsLp08C2\nbcAXX6gdCXkil5eXEBF5o7AwYNo0IDBQRruJyPv07w+MHy//EnUUk24iIifQaIB589SOgoiUFBAA\nLFumdhTkqVheQkRERESkMCbdREREREQKY9JNRNRBaWnAq68Cly6pHQkRdcbu3bIPX7yodiTkS5h0\nExF1UF4eUFwMXL6sdiSdYzQC330nz4PIG+TlAd9/Ly39HJGbK/swD5zJlTiRkoiog268UUbIPLVP\n78mT0vasRw/gwQfVjoao6zZvliS6Rw9g2LD2b3/DDZ69D5NnYtJNRNRBISGe/WU9YACQmAjExakd\nCZFzJCfLaPeAAY7d3tP3YfJMTLqJiHxMUBBwzTVqR0HkPOPGyYXInbGmm4iIiIhIYUy6iYiIiIgU\nxqSbiIiIiEhhTLqJiIiIiBTGpJuIyI6yMuDMGbWjICJPU1cHHD8uPfGJLJh0ExHZ8cEHwLp1spCG\nr0tNBV5+2TMXE8nPB3Jy1I7Cd1y6BBw+DJjNHbvf5cvyGduxQ5m4XGn7duDDD4GMDLUjIXfCloFE\nRHYMGQJotUBkpNqRdFxDA/Dll0B4ODB7dte3l58PlJTIAiQ9e3Z9e85WXw9s2ACEhjZth2g0yoGT\n0Qg88ggQEaFejN7u4EEgOxs4fx4oLwcCA60L1Xz+OVBVBSxfDvjbyTyuXJHPWH6+62JWSv/+sghV\n375qR0LuhEk3EZEd8+erHUHnlZRIEuTvD8yaBWg0XdveTTfJCKaji4+4WkUFcOqUPN9ly6zP189P\nFgKqqpKEnJSzb58kzHFxcmAWGyvXm0ySjBuN8j7ZO/AZNgy4+24gKsplIStmzBi5ENli0k1E5IV6\n9pSlrrt163rCDQB6PRAQICPKOl3Xt+ds3bsDd9whC/80f75LlqgTky9oaJDl1GNjgaVLpRRr/Hg5\n2LHQaiWZrqtr/0xD//6KhkukKibdREReKj7eeds6cADYtAlISACuu85523UmLuvtel9/LSPcS5YA\nEyfaLz2yjHoT+TJOpCQionaFh0uNrjec+ifniYqSMyCslSdqH0e6iYicpK5OTrfr9WpH4nwDBwJ/\n/rPaUZC7mTpVLmpraABqaqScishdcaSbiMhJ3ngDeOklwGBQOxL3cOIEsHGjdLLwJiaTtII7fVrt\nSNxbbS2QlgZcuACkpwNbt8prp4QPPgBeeAEoLFRm+0TOwKSbiMhJAgKke4btJDJflpkp/ZqPHVM7\nEuc6dUr6MG/erHYk7u3AAUm6t26VPu+ZmUBpqTKPFRgo+529doRE7oAfTyIiJ7nvPlkQxBOS7rw8\nWYRk1izlJiAuWCCj3QkJymxfLQMGABMmAP36qR2Jexs5EigoAMaOBSZPlraNjva8T00FioqA66+X\nhLo9y5dLS0Im3eTO+PEkInISrQedOzx2THoqHzvWtaQ7LU0S65tuajmZrlcvuThbaSnw7rvAoEHA\ntdc6f/vtCQiQ9ni+7vPPpUXgypVN3/udO2UF0OXLJWnujH37gMpKWYzJkc4nGg0TbnJ//IgSEfmg\nmTOBHj2AUaO6tp0TJ6SO9uJF13WwqKiQuvmsLEmA589nwqWGCxeAsjJJjm3f++PH5XeXLknXG0Bq\n4KuqgHnzHOsbf+utsm22GiRvojGbzWa1g1CaRqOB7dPMyMjAkiWPo6wsw6mPo9XqUFNTBZ07rhxB\npILm+56vyswE9u8HfvUr91xCvStKSyW5GjrUtY9bVAS8+aZMzFu1isttN+eKfa+yUg6AYmKaXt/8\nM2E0Av/n/0jp1UMPOV5i0hHbt0ut/S23AGFhzt8+UUfY2/84NkBEpLCTJ2Uk+Px51yfd334rp+rv\nuAPo08f524+IUKdHc0wMcPPNUn7Qp490ScnPl5UPLaOrnqCkRJLSHj3UjqTjQkLkAshr/+CDkmj/\n7/82/Uz4+QE33ghUVyuTcANSzlJUBFy+3DLpNhqBs2dltUtPKgEj78Okm4hIYdddJyUYHRkNLiyU\n0fHk5K6N3BUXS+s2b2vbBwDDhln/f+GClJxUVXlO0l1fD6xdK0nho49aE1hPVFIin7GCgtZ/P3q0\nso9/yy3yWR80qOXvduwAvv9eJg3PnKlsHJ115YrEOHkyEB2tdjSkFCbdTtav31AUFeU5dZsxMQNw\n4UKuU7dJRK7TrVvTBNERGRnA0aNy364kCjfcIAlR8xIAb3PXXVLu4EkJi58f0Lu3LKoUEKB2NF2T\nkAC8/rp6r39bZ1xiYuSAxp33gb175WI0Atdco3Y0pBQm3U4mCbdz6+iKihyYdUJEXmXGDBnhHj++\na9sJCHDvZMNZbEsdPIVWKwcL3mLkSLUjaF1Cgvu3rZw8WRLuSZPUjoSUxOomIiI31KsXsHAhEBpq\n/zZGI3DwoHR5cJW8PODtt6VrCfmW+nopeaqsdM72amuB99+XxXN8XUQEsGiRZ9b2k+OYdBMReaif\nfpJeyVu2uO4xT56Uut2cHNc9JrmHzEzgiy9kcq4zXLkin6dDh5yzPSJ3x/ISIvJYDQ3yxe1JdbzO\nFBcnHRmUnqRmKzlZRuM6WqNOnm/wYDnYclYZSe/e0o9bjRZ/9fXS2tDbWniSe2OfbifSanUwmRrg\n7JpugL2OyTMp3Sv488+lvOL662WpaSIS7JHftg8/lEV8br2VB5DkfPb2P5aXEJHHioiQlQi7dVM7\nEs9hMgGffSYHLJ6UkxmN0kbRk2L2BUePAu+8Iz3oLWpqpC+9O4uIkEnGnjb5ljwby0uIyGPNmiUX\nclxtLXD4sCzFvXAhEBysdkSO2boV2LNHJptNngycOSOrUHp6qz13lpcnpURtJaZHj8rCM6dPS7kI\nAHzwgVy3ciUwYIBrYu2oRYvkQuRKTLqJiBRmMMhovDushhccLKtTWv7vKaKiJMHu3l2S76+/BsaN\nA6691rH7V1XJ/f35reeQnBxJnvv3l1U+7Vm4UGq9x4yxXhcVJYsVecoocnk5oNdL33QiJbnBVwAR\nkfPV1gL/+hfw1Vfyc24ucOCA6+PIzgZeeEGSRHcxcKBcPMmUKcATT0j9bUyMrDrZt69j9718Wd6D\nf/1LJtAdPy6TcG0dPy6LCLmL7Gzgu+/UK6eJjJTkuX//tm/XrRuQmCgJ6+7d0kqyokLKgWpq5Oeq\nKilBeeklef3dSW6ufDY+/dS52zUYZIXJ6mrnbpc8G4/5icgrlZXJF+rFi8CSJcBHH0kSEB0NxMa6\nLg6dTko5OloGUVkJrF8vSc+CBcrE5qni4mTZdEdptXLx9wdSU6X1XXIyMGeO/P7kSZlYFxMD/Pa3\nioTcYZs2SYI6aJC1bMOVoqKA3/3O8dvn5clrGxoK9Okjr/fRo5J4Dh0q+19DA3Ddde5VcuLnJ7F2\npkxp2zYpc7rllpb99HfulJ7m1dXWzxkRk24i8krR0cCdd1pPcU+bJiOerm4RNmwY8Oc/d/xL/coV\n6YddXW1Nuhsa5Mu8b19p23b5MrBvH5CUJCO/ZFVVBWRlAfHx8p7//veSdJ84IRfbEdzoaHlNhwxR\nL97mFi6Uz4A7rCZ64gRw6RIwdaocQLamXz/5HMbGymteXw8UF8t9hwyR35WWtn7Am58vZxqSk4Gg\nIGWfS2txP/5458qOLK9LcXHLpDshQUb8R41yTpzkHZh0E5HXsi2hSE5WL47OjKL16ye11xER1uty\nc6XkICIoOf4fAAAgAElEQVRCku7vvpPRNI0GmD/f/raqqqTcpnv3jsfhTFeuyGn8mhogJaXtNo81\nNUBRkWOjoiaTlBHpdNbJcXv3SrnDpUvA8uXW92DECLnYCgsDVq3q1FNSzIQJakdgtWmTfIb69rX/\nfvj7y+fw9GnpGx8QICP0Dz4o788338iI8iuvANdc0/QAZ/t2SbwjI63POyNDSmxWrVK+1lqn69z9\nbr1VPtNxcS1/FxfX+vXk25h0ExG5gdOngbq6pgnhoEFNbxMXJwcPffrIz0lJkshMnNj2tt96SyaL\nPfCAJDYdsWmTTIq7/npJnAYNAqZP79g2LAoKpOTgzBk5CGgr6f78cxn9vOEGGTltS2WlrM6p1cqp\n/IAA2XZxsXslr55qzhw5ALJ87lpjNAI//CAJ9syZcoB3+TKweTMwfrwkthcuyAFOTk7TpHvmTODY\nsaaL7jzwgBwwdesG3Habcs+tK7p3V/9AljwLk24ioi7KyJBkY8aMzt2/oQF4/33ZxiOPNB3dtuXv\nb60PvXJFyiaWLm1/+927S1LUmRH306dlUtjp03KpqOh80j1mDHDPPVL/O3hw27cNDpZSg6go63UV\nFa33ZA8NBW6+WV4fy3OMiJD6YUBGzc+elcd0hw4ynsaRAxc/P2DFiqZnVHJzpV5ep5PPUHS0nIkY\nP77pfQcPbvl5CAyUfx0tr8nOls/V3LlsI0nui0k3EVEX1NTI6XFAkom2FuqprJSa7NGjm5a++Ptb\ne0/bq5m1tX8/8MUX0tHDkV7Dd94p/x4/DmzZIqUoti3e2rJypcTdp488t67UGGs0Mmptb+R6/XqZ\nALtokaw0GhlprQHeswf4z3/koKO1UqHmJSO2tmyR3uSLF8vrTMpofmZGr5eDQ60W+PJLScj/678c\nq9uePFlKWdp6X23t2CGPNXgwMHx4+7evrJSRd9tk/6ef5OzInDldPzg7dEj+LixdKhNJiQC2DCQi\namHPHknUqqqkJKItQUHAsmXSIaW9lTGzs6XWOD295e8GDpRT+Bs3th9fUJAksHp9+7cFpGzlnXck\nqTUYZGVHR3XvLrW8Go0k6s6YiFpXJ+UjP/xgvc5sltHoS5es3UZ69bL+3pIEdSYZGjBAEnhHu4Ds\n3Su1x/n5HX8sb3LpkiTKjiorA954QxYyAmSEu3dvOROh18vn1tH66e7dZbTb0dVmr75a5gkEB8t7\nZ/vZas2rr0oLyh9/tF63davMk7BdXbOzCgpkX3PGtsh7cKSbiOgXmZnSYvDIEem+cPastZ65rfrj\n5qfL7YmPly9i29pVi8hIWf3Pkf7ZI0cCTz7p2AQzk0lG9c6dk9Puy5erN8Hr558l+TKbZSQ7PV3a\nzC1dKgn9ffdJkpebK+Uwth0hJk6UMwSdWdBn4sTW697N5tY72uTny6jp+fPt96n2VmfOAOvWyefR\ncqakPcXFcjaiWzdg9mwZ4f3TnyR5nj5dDrZiYiSZ79FDDuTS0+X1HjZM9iPLZ/rAAZmHkJdnv9zK\nlqVEZd8+ee/y8uRMkD0lJbL98nLrdddcI8+hIy1FjcbW98O5c+U5eVo/fFIWk24iol/s3i0t+mbP\nlgS1ulpG75w1WSo4WL6MAUn4amrkutJSGYmOjXV8WXtHEu516+Sg4Te/Ae69V5If2xppW8XFMtI3\ncaIkC85y7Jg1qd2wQUppnnhCRiaPH5ea3ytX5PeW5KqkREZEm7/uzl5BMzVV3vOrrpIWfRaLF8tB\nVvNyCV8SEiKvt72Jt1VVkjTbvif9+skBYWCgJLPnzsnPGo11Ozt2yGd97Fhp1bdrl5xZGDJE3vNx\n4+R2oaGy73X0zMr48dI+s61JnwDw0EPAqVPy3lt0tL3f999Lr+7rrmt5UK7TtT9vgXwPk24i8jgm\nkzIT4n71K0kAJ0yw1lY7mgR31Natcgr8ppsksaivl0TG4rvvJLFOSur8Y1RWyuhiQ0P7o3fHj0vf\nYa2260l3XZ3UtPr7S/eT6Gjg17+W0ezQUHmMSZPkdf7pJ0m6IiKsicuIEcBf/iKn6DdulAmqrSVf\nRqNsq706eINBnl9CghxMWT4/oaEyynrxoiRqlgQsKMi1PbsNBuDf/5YkMzBQWtGpsSCOrehoGaW2\nVVsr72tsrIwKazSSNOv1kmQ//bScGbj9dul0s3MncOONMocgI0M+3zqddLA5cUIObm++WQ5uGhqa\ntiO09NW3TKh0lEbj2HvXp0/7iXl7qqvl4JmrTpKjmHQTkUfJypKE9frr228l11GDBrludNNstl56\n9JCuJZYEo7xcRtAAGfnr7IIh99wjiVJYWPu3nThRElFHJqG1JzNTEq5hwyQJGzxYSnVGjgS+/loS\nrKuvlserr5fR+BMnWo4W7t0rZQYhIU1HogFJdNaskYTvt79tO/Hetk0mUhYVyeMdOiR1+DU18vqe\nOCGv+datUu++fHnTevmjR6XkZc6cjieBzZWVSeJpu/2yMim5yM2V0p+SEvWT7tZ8+inw3ntyIHjh\ngrzmtbXyXA4dkvfr5EkZ/X73XfncWlb6fO01ORi79155joGBclA2ZEjrSXJAgGzf0Rrwixfl/R0z\nxrHJyM4wezaQmNjxNpzku5h0E5FHqayURLWysv3bHjggo5mOnuYtL5ekol8/a7s5R33xhSROt90m\nSUd9vbUfcWstzBYulBFcg0Fua1u/HBoqv/fz69oKfYGBTZNEe/WngMSYlCQJYFmZYytclpRI4tz8\ntsOGSU2wpVSluFgmrlVUSAJdVGS97eTJclDQWu3roEHSSjEqqmXSbTRKEmd5PtXVwAcfSILXvI1i\nfLw89oEDkhR27y7Pcdcuef1DQuR3Op1cX1TUNJ7UVBl1HTiw9Xr85vbtk2R06tSm1xsM8joEBwOP\nPWZNDvv1kwOkwEB5Tn37tv8YSikvlzMMw4fLa7x+vcR1003yPls62Fxzjbz3JSVyxuaqq+Q5DB4M\n3HWXJOVjx0p50RtvyGtrOesyeHDrrQNt1dXJ61NfL6/bhQtSI24vof7gAzmwu+EG6e4zebLynWos\nZTN5ecAnn8j7bXnPjUaJOTbWdQcB5P6YdJPT9OoVh6KiPKdvNyZmAC5cyHX6dskzzZ4tZQI9erR9\nu9xcKU0ICpJSBUASr0uXWiZ4NTVSztG9u7XFWUft2SMjfX36SEKxe7dMEktKapkwAtbV+zZulASn\nuFge9777JJHs2VM6qOj1MoGwo5qX4Jw/L6OPQ4fKa9ja61dTI6PHGo20dmur33FVldzW39+6xLpF\nTIy87j/9JAcdlgOf8HBJhGwnxvn52X9+aWnyfpSUtPxdt27Aww9bV0IsKJAa4tJSYN68pgcrw4bJ\nZds2GUGeO1dG4Hv2lCTzzBn5f2SkfA7+3/+TAyJLadHixVKGYmn9tmOHvNcrVrQsUaivl/Z4gNQI\nR0TI7UtKgAUL5P0MC2uZiBUWyhmCG26w/5q7whdfyIHJtdfKe5abK++R0ShnJ8aNk8/O3/4mn68f\nfpDSHb1eYg8IkPe8tlbO3qSny/tx553y2ixe3LSfuj2rVlnP0rz3niS2N93UtO7aaJT3q3dvObNy\n8qSMdF++LO9pW0n3o4/K5+u116SUxbK9zvSzLy6Wvy0XLliv27FDar7nzbNuv65ODiBa2/eMRvl7\nEBfX+RUyybUaGuRvpqMddgAvSbofe+wx7N27FxMmTMCLL76odjg+SxJuswLb5TABWWk07SfcFRUy\n8nX+vNSXWnz8sSRPt9zStIzi8GFJDgYOlKTXkT+izfvwpqRIImqp74yLk1G+gQMlGdyxQxI524Q/\nPFySw4gI2d6+ffLYd9wh97lyBfj2W0kObrihaQu9tmRmyv0sJTgGg0xizMuzrgq5YkXL0/r+/nLg\nodXaHxEvLJQyjClTZAQ6IEBu39AgSfagQfIccnIk0dRo5KDD9n1wVGKi3P+mm1r/fUiI9flu3SoJ\nV3Aw8PzzUj7SfCR13rymP1uSfUvd/N//LsmaXi8JosWgQfJY//iHPEZFhXWSbfOkW6eTxLKmxnpw\n8cMPknAlJ8uBQkaGvD62/ZvPnpUDhqIiGfl2VGWlPKazFoQZOlSeX2ysHCzdc4910m+3bjIKf+WK\nJOcajXyOQkPl+hdekAR40SJ57+Ljpaa7pkY+HyaTvA4XLzY9SAPkbMKRI7Jv9uwpZSinT0vCXVgo\n+0nzz39urtzPcqaktlYS7enT2z9bsH27vOY7dliT4n/+U57b/ffLvtnQIOUxAQHyGbQ3Yp2YKPuC\nbUmQZd+wLT359FMpZWpt30tPl/3c0d77pL4PP5S/F/fc4/j8AI9Puvfv34/Kykrs3r0b999/P/bt\n24cJXPeXyKeYzZKwfvutfFmuWCGJyPjxssS0xcCBkiwVF0vLuoQEuX7kSEnQe/WSL0lH6nYLCiRx\n+ugjGemdO1e+SC0TFgcPlqWsARlhPXNGvogtSbfRKI/z+OPyc+/ekjRYvtinT5d49uyRLguFhU2T\njoMH5Qt88WJr8mlhKcGxTMy0JHRjxsjjHz7ceo9vf3+pj27LiROSvHfvDtx9txxY7Ngh1507Jwcb\nd90lv9u0SdoE9unTdBXLAwckIZ85s+2zCtOny33XrZMDFnst4Pz9rbXhli+/8nJ5zSIjraPeJpMk\ngM3rqWtrZeLg9OkyIj5jRss63QsXpByltFRGeYuLZXvV1S27qjQfYb3tNoknJkbey5075XP66KPW\n21iSNstnEpD5C2Zz0w4btoqK5Atfr5eJmB2pN//6a3ney5bJe3DokCTVU6Y0fZ379JH3s7AQWLtW\nXietVhJKPz85QBgxwnqmxt9fSixOn7a2WwwKkjKVK1fk811RIZ+Vkyfls9u7t7VNY3GxJN0bN8p7\numaNHLyMHCk9tW1XZe3fX2INDZV978475TOen98yqW9u5UpJvG++2Xqd7TwLQN7bbdtkW9dfb38E\nWqNpOgkUkEnCzVORykp5XVpL3vv2lX3K0RaVJ0/K356ZM1suFmU2y5mYyEhraZ3RKAfFAwe2P2hB\njrEMODjSScrC45PurKwszPtl+GLu3LnIzMxk0u11AqFxclEcS1bUcfq0lF3MnevcutXcXBl5279f\nRq2CgqRmtnlCN2uW/P7//l/5YoqLs9apjh4ticuxYzLS3J65cyUhbmiQhHrUKPs9eadPl8exLaP4\n+mv5YrSMyGZkSAJiaSno5yej8X37SoLSvKNIVpYcKIwc2XJ1yTlzrKNvgNzmmmtkW44uHW/PVVfJ\n6zVihLyXO3dKktO3r8RrGV3u00dGObOzWyYfW7ZIQjV8ePtdVS5dkmQlI0NGNa+/vuVkz0mTJJHb\ntUsSjauuklHF6mpJSCx9pjdulIOAO++0JklvvSW3e/BB64hnayoqrF1Q/PwkiV6/3n4fa6NRPpN6\nfdPyouxsGe1NSWl6+6wsSYIvXpTXrrpaOoAAUhvd/MDK9nFMJrm0pbhYyl4SE+Vz+OOPcp9Zs+QA\n6OGHZb/ZsqXlfmN5jCNHJHGbOFE+p7YJR1QU8Ic/yM9arbzn+fkyGjh5spxdqauTg5yff5Z99ehR\nSVyeeEI6B126ZO0hHxUlr/eUKdbJtH//uySsU6bIZ1Cnk1HhLVuAt9+WEe/bbpP9cswY+fzZEx3d\nciL2qlWyP9sepPXoIc/J7ISTuGaznDWpqGj5uyFD5D1wVHm5xNpa6VVBgbwmQUHWg/rDh+W6AQPk\ngIO67qab5D3oSDmQxyfdpaWlGPzLoVx4eDiOHj3a6u1Wr17d+P8oe41qyU3VwtllKyxZUUZaWhrS\n0tLs/j47WxLk48edm3T37i1fspbR0LZG/AIC5HZ1dU27enTrJgmSo32BdToZzT17tv2OH8HBLUc/\nIyJkBM0ygTIyUpKu5slVSEjr21+6VJKa1ib2aTRN+3FrtZJsOUNgoHWhmSFDrLWz/fq1TK5jYlpf\nNn7pUsc7dEyaJNs4fFgOUoqLW7/d+PEyCj1unByMBAVJstTaqpa2x/B9+0os7fUAnzBBEs0+fWS7\nERHy3tl7DgaDjB77+UnLPK1WkriDB+Uz2HyBoptukjgsI/XBwZJQmkz2E+6YGCkb0mrbjz8311qf\nnZAgyWl9vXUSbJ8+1tKi5t5+W86anDsnSXdIiBxoaDRNa+ebJx+lpXLwcOmSPE5VleynBQWS7F++\nbC3BCQlp+jxvuEHu5+8vz628XN4Df/+WZ2kmTpTtBgXJ5/Do0fY/Wz17yvO1LSXz9286Qh4eLgfg\nAQHOKd9ZsEDOdDgyGbc9iYlywNraqHWvXvJa2f4tGzhQSoeaH6BT53Wku07jfcxmZxy/qef1119H\ndHQ0brzxRnz++ecoKCjAgw8+2OQ2Go0Gtk8zIyMDS5Y8jrKyDKfGotXqYDI1wPl1zUGQxNN5tFo9\nTKaq9m/YYUp8nDQKbLfpZ4KU0Xzfq6yUL8T4+K515SDfYzRKMt2nj2PdIGprWx58mc1yvas+e8eO\nyWPZJtj5+VLi4swFiFrTfN8zGuUgYOBAx1Z4tKe1cpq2FBRI8mebtLb23jRnmRQ7dKjEPXJkxyas\nEamp+f5nocDyEq511VVXYceOHQCA7du3I6krK0m4LctIr/MuknA7d5ueRUpWnHnp1StO7Sfl9kJC\nZOSSCTd1lJ+fjEo7WmnWWlLXfGRWaSNGtBzR7t9f+YS7NX5+MjralYQb6PiqoH36tBwldqT2vG9f\nGZUNDJS/GUy4yRt4fNKdmJiIwMBAzJgxA/7+/phoOe9J1CbnH8go0S6RiIiIvIPH13QDwEsvvaR2\nCETwpAmfSvRU5+RUIiIi+7wi6e6osLAwVFX9hNBQ557ja2gIRnV1uVO3SZ7EcyZ8KtFTnZNTiYiI\n7PP4iZSOcPboIxERERGRPa2l1z4z0u0DxxZEbsfeDG4iUhb3PSL12Bvs9fiJlERERERE7s6nk+6y\nMuesMkVEROSt6uulxz4RdY3PJt2bN8uys6+/rnYkRERE7ut3vwOWLwfy2BWVqEt8NukuL5dloMvK\n1I6EiIjIfRkMsopmdbXakRB5Np/pXtL8aZrNQE6OrBbWfLUsInIOTuYiUocz973SUhmo6tfPKZsj\n8nr29j+fTbqJSHnc98gVlFjsCfDsBZ+47xGph0m39z9NIrfDfY9cQdpzKfE589zPL/c9IvXY2/98\ntqabiIiIiMhVmHQTERERESmMSTcRERERkcJ8NuluaABqa9WOgoiIiBxRVycL9RB5Kp9NuteuBV54\nQdogdVRFhbRQIiIiIlFcrFwv79pa4OWXgVdflUEzIk/ks0m3VgtoNHLpCJNJVrF87bXOJexERETe\n5sIF+V7817+Ue4zOfGcTuRN/tQNQy333AUZjxxfG0WiAyEigqoqL6hAREQFAcDAQEgJERSmz/cBA\n4OGH5TvY32czF/J07NNto7ISOH4cGDOGCTWRM7BXMLkC+3S3pPS+d/q0JMADByr2EEQei326m6mq\nAi5eBEpKgO+/l3qx7duBzZvlZyIiImqpqgp46y3g7beBmhrH7pOTAxw+rGxcRO7OZ0/S/PvfUoMW\nEyP/Go1y+flnYMECtaMjIiJyT0YjkJYmc6Oeesqx23/4ocyJ6tNHSjSJfJHPJt09e0oXkokTgRMn\ngJEjZeb1yJHOnahRUQEEBbEGjYiIvEd0tHxXOlLB4ucHTJsmI+QREcrH1pqyMiA8XJ3HJrJgTbeN\n2lrg3DmpUdM6ofCmoAB45x3Z3u23d317RJ6GNd3kCqzpbknpfe/iRUm6e/ZU7CGcZtcuYOdOYNEi\nYMoUtaMhX2Bv/+P4q43AQGDwYOdtz89PkndOyiQiIm8SHa12BI6zfAfzu5jUxpFuhdXXS2kJe4uS\nL+JIN7kCR7pb4r7XVF0dk25yHXYvsdHQIF1L1q8H/vlP2RmV+tuk0zHhJiIi9V25IpMaXcHed2p2\nNvDii9Ke15WYcJM78Mnykk8+kR2+shIIDQVOnQI++wxITAQWL1Y7OiIiIuc6dgz46CNg7Fjg+uuV\nfayNG6VBwapVLWu+CwpkUmNBATB8uLJxELkbn0y6Q0Kk5OPOO4EePWQ59/p6wGBQOzIiIiLnCwqS\neUYhIco/Vnm5nEFurYf37NkydyouTvk4iNyNz9Z0m0wyybG2VpJtrRYIC5NyECJyDtaVkiuwprul\ntr73lFZXJ+1ybftxV1RIaQvb9pEvYE13M5Y/PB99BKxZI4k3E24iIvJWrki4Aamftk24TSbgjTeA\nV1+VUXAiX+WzSbfJJP927y6n3Vxxyo2IiMjXaDSyKE5oaOcmNFq+r4k8nU+Wl3z+OXD0KHD33UDv\n3ioGRuTlWF5CrsDykpa8Zd87ckQmZs6dK6taEnkClpfYqKqStoG1tfJzba1cR0RERI4zm4HSUuW2\nX1Ulj8HvaPIGPjnSXV8v7QIjImRnfvll2aF/9zs5/UVEzuEto23k3jjS3ZKr9r1vvgGysoBrrwXG\njVPmMYqLpUaca16Qp+Ay8DZ0Okm4AdmJAwMlEffzUzcuIiIiTxIYaP0eVUpUlHLbJnIlnxzpbs5k\nkhFvJt1EzsWRbnIFjnS35Mp9r76e3b+IbHGkuw2uaqNERETkbZhwEzmG6SYRERERkcKYdBMRERER\nKcwnk26DAXj3XSA9Xe1IiIh8S69ecdBoNE69UNfU1wMffAB8+aXakRB5N49Juh977DHMmDEDjz76\naJPrs7KyMHXqVEydOhVvvfWWQ9u6cAHIzweys6VV4L591p7drmA2A++/D7z3nvQLJyLyFUVFeZBJ\nj868UFcYDEBODnD4sHw/OeLUKeD06bZvU1goLXkzM7seI5E38Iike//+/aisrMTu3btRW1uLffv2\nNf7uv//7v/HJJ5/g+++/x7vvvuvQ9oYOBZYvB266CUhNlaP7jAylom+poQHIywPOnXNtsk9ERNRc\nVBRwxx3AXXc51gu7qkoGjt5/H6ipsX+7oiKgpES+74jIQ7qXZGVlYd68eQCAuXPnIjMzExMmTAAA\n9OjRAyUlJYiMjES3bt0c2p5GAwwbJl1LRo4ELl6Un11FpwN+/WvAaARCQlz3uERERK2Ji3N88Zmg\nICAhof3+3OPGAWFhQGysU0Ik8ngekXSXlpZi8ODBAIDw8HAcPXq08Xe/+93vsHDhQuh0Ovz1r391\naHtXrgB/+YscgU+ZAixbBvTrp0jodvXs6drHIyIisti8Wc60Xn+9/LtmjazI/JvfOHb/2tr22+1q\nNMAvX91EBA9JusPDw2EwGAAABoMBEZblJAH88Y9/xJ49exAdHY25c+fi5ptvRlBQUIttrF69uvH/\nY8emoKAgBUVFQI8eUpcWHg5UVMjRPhF1TlpaGtLS0tQOg4ja0NAAHDwoC8MtWCDJcV0dUF0tNd3t\njXjX1ADHj1vvZ2+022SSWvG+fXlWlwjwkBUp9+/fj7feegtvvPEGHnjgAaxcuRITJ04EAMycORP/\n+c9/EBISgjlz5mDTpk0IDQ1tcv/WVgbKzZUJlSEhwPDhwKuvAuXlwG9/C8TEuOqZEXk3rkhJzSmz\neiRXpGyuvX0vP1+6llhGoisqAH9/KR1xxNmzknT37Wv/Nj/9JCPqw4cDt9zSgeCJPJy9/c8jJlIm\nJiYiMDAQM2bMgE6nw8SJE/HQQw8BkJHu2bNnY9q0aZg1a1aLhNueuDggKQmIjwcCAqSmu18/qT8j\nIiLyZv37Ny396NbN8YQbkO/LthJuQGq5e/ZkiQmRhUeMdHcVR9s80969Mvt9wQIZgSHPw32PmuNI\nt2u4ct8rLZVOYImJwMCBLnlIIrdmb/9jKmNHcTHw88/ApEltz84m5ezcCVRWAmPGAAMGqB0NERG1\n5sgR4NAhqfW+eBHo3VtG0omoKZ9Pui9fluRuypSmfyS2bQOOHZOatWnT1IvPl117LXDpEv94ExG5\nswkTpD48OBj4+msgMhL4pQK00e7d0t97/vz2u54QeSufT7q//15WpDSZ5GdLgjdxoiTcI0eqF5uv\nGzpULkRE5L6Cg4FZs2Sku7BQmhFcuAD06iW/N5kkGW9oACZPlqScyBf59PFmdbXMrr5yRWrS3n1X\nTpEBwJAhsmol/zgQERG1LyhI+n4fOwasXStdwixqa60dUoh8lU9//HU6ORLv00dGVCsqZDnctlRX\nAx98IEfyS5e6Jk4iIiJPER0tA1mWZmJarfTzrqoC/PzUjY1ITT6bdBcXS4uk3/xGTom9/ba0Czx6\nVBYHsNcKyWAAzp0DyspcGy8REZG72LNHkulflsxoovmAlMkk7QPr66XERAmbN8tCPCtXymNERnJU\nndyPT34k8/OB996T+u2VK+W0V3ExcP48kJcHbN8OPPhg60vDx8TIfbp1c33cREREaquoAL74Qv4/\nerTUdLdFqwVWrZLRbqMR+PZbqe22WVy6y4qKZIG7H38EMjOBhATguuuct30iZ/DJpDs4WNoAWnb4\n8HC5VFVJTVp5uXQvufvu1u/P9nVEROSrdDoZqPLzc3w0OTpa/v3yS2vzgoULnRfTihVyJrqqStZ4\ncGZCT+QsPpl09+wJPP540+uioqTM5PbbgQMH2LWEiIioNVqtLO2u1UqXr46YPFkS7tbKUroiONg6\n4v6Xvzh320TOwhUpf3HlirQPTEoCevSwfzujUfqN9urFxJyoPVyRkprjipSuofS+Z2mz21rP7Zwc\nKdWcNAnIypISlPaWjCfyJlyR0obRCGRnA4MGWWuzv/lG2gWazW13JcnPB3btkvsx6SYiIl9RXy8r\nNQ8ZAuj19m+3dassPHf5siTdZ89KTTeRr/PJpPvHHyXJHj0a+NWvZNnagwelRi0pqe379u8vK1Ra\nmv4TERH5gqwsYMcOYNw4WTHYnnnzpEe3Xi/frzU1LguRyK355OI4AwZIb+7hw+XnkBC5bvhwOTK3\nMJslQc/Ls17n5ye3+/ZbmSGthIoK/pEiIiL30quXfD9ZJkXac+IEsH8/0L271G4nJsp1Bw+6Jk4i\nd5ocPV0AACAASURBVOWTSXfv3sC99wJjx8rPISHAzTcDlZXAxx9L+QkgR+pbtgAbNza9/6VL0uGk\nsND5sRkMwMsvy2peROR9evWKg0ajceqlV684tZ8W+YCCAimtPH++7dt99pmcTTYYgMcekzPIH30E\nfP65zJ8i8lU+WV7SmogI+cOg11tXzIqNlcS8+QSQ8eNlsmXv3s6Pw88PCAhov+8pEXmmoqI8OHvS\nX1FRB1tIEHXCmDEy6NRe55HZs4EjR4DBg+VnPz8gOVna+bGVH/kyn+xeUlYGfPqplIlMn+74dlJT\npbn/ggUdb5PUESaTbF/JxyByBXYvaUmp7h2e8jqze4lrOHPf++EH4MIFYPFi6dHtCKPRtUu+79oF\nnDol87Qsy88TqcXe/ueT5SWnTwNpacB33zl+n/p6ID1dJpIYDIqFBqBzvU+dpboaOH7c2g6KiIh8\n265dUqPdXlnJmTNASYn8317CXVws3U1KS50bY3a2dBe7eNG52yVyJp8sL6mqAsLCpJRk2zZZLra9\niSE6HXDTTTLSHR7umjjV8NVX8sdr8WJZxICIiHzbjTdKk4F+/azX7d0rA0Tjx8vP584B69YBkZHA\nQw/Z39b338uKlGazc1ekXL5cSl8sJS1E7sgnk+6xY+VovLJSRrtLS+WUVHtc1ZfbbFZvpHvQIKCo\nSLq7EBERDRokF4uKChmgAeR7MThYarVjY5sm5s2ZzcCUKfKvs1ekjIqSC5E788mabkBGuEtKZATb\nZAJOnpQj5bi41rdhNgMNDY7Xs1k0NMjCAAMGtL5yV3Nbt0qbwttvl/sQeTLWdLfEmm7WdLuCM/a9\nujrgn/8EAgOBu+9uOhi0a5d8pyUnW687e1a6m3Tv3nQ7ZjPw5ptylvn++4GgoC6F1cK5c7JS9MyZ\nHDAi98AVKW3U18sprtpa6R9aUiK1zG3VmH36qdQ63323HM07avt2qQOfPRuYMaP921dUSKJeXe34\nYxARETlbXZ20+PP3l8Ep2zrtmTOb3jY/H7jhBpnEuGVL0w5cZrN8t9XWyvebsx06JH3Au3dn0k3u\nzSeTbp1O+nL/+KPULw8cCPz6120n0/X18kfH0sPbUb17yx8hR1ewvOYaICWFp8mISH29esX90uKQ\nfFG3bsADD0iy3V4nkpISSazNZrnY0mplOw0Nsk1nmzFD5lolJDh/20TO5LPlJYDUdKenA/HxcnRs\nMtkvATEaZfS5s38wKivl1FrPnp27P5EnYnlJS55UXuI5pSAsL2nO1fue0ShndqOj5QxycwaDJN2R\nkW1/1xJ5A3v7n08n3bYOH5ZVtBYskEVynO2116RV0n33OT7q7WnKy6Wfa2IiR+pJMOluiUm3p2xT\ntuupn1932vdMJuC//ksGnm65RerBr7kGGDdO7ciIlME+3e2orLTWnTmitlaWtN23z7Hbx8TItt97\nTyZteqMffgAyMuTsARERea6qKmDjRuDgQfu32bIFeP319teuMJulh/fZs9J6sCPftUTexCdruluT\nlAQMGeL4CG1+vvwxys8HJkxo//a/+hUQEgLs2QMUFspjeZvERBntZn9vIiLPduaMnAG+dMl+rXRu\nrvy+rEzWvrDHzw/4058kkZ81S+Yt9eihRNRE7o3lJZ1kMkkCHRsL9O/v2H3q64G8PJm46crlcYnU\n4k6nuN0Fy0s8ZZuyXU/9/HZ13zMa5Tuuf3/7HUEMBkm42+rNTeSLWNNt8zSvXJElbSdPls4i9hgM\nUns2blzrf1QaGoDMTOntzT86RC0x6W6JSbenbFO266mfXzX3vbw8KSUZOhR4+21g/nyeASXfwj7d\nNtLTJek2mYB58+zf7tAhqdmuqJDJH839/DOwY4e0BbzvPuXiJSIi8hRffim122lp0tEkP59JNxHg\no0n3pEnAhQvWejR7bfwSE6VN4Jgxrf9+8GAZBR82TLFQiYiIPMqMGVITnpgoZ4Tnz+/4NjIz5ft5\n8WJZnIfIG/hkeQkg7QEPHZJVtYxGYOdO6dcdGwtMn84eokTOwPKSllhe4inblO166ue3s/uewSAj\n06NGdf57cPNmWcF55UrrhMmDB2UQy9GWvH//u9x+1Sqgb9/OxUGkFpaXNDNrloxwx8YCzz8vNWiF\nhcCAATJxJC7OeluzWRL0mBjv7bFNRET0xRfAqVPSR7u1RW4ccemStOGtrJSk22QCNm2S79KhQx3r\nErZggSTq0dGdi4HIHfls0t29O5CcDNTUyL8pKcCIEfLHIjJS/kDExEjv6W7dgHPn5I/Hgw+qHTkR\nEZEyRoyQ78WePSUBHzIEGD26Y9u47TYZMbckzFqtJNFVVfL96oh162S0vF8/YPbsjj0+kbvy2aTb\nIigIuOOOptcdPAgcOAAEBsoiODqdHJ0PHKhOjERERK4waZJcsrOl4UBhYceT7qAgudjq6ErPgYFy\niYnp2P2I3JnLa7qNRiOKiorQ0NDQeF1/Rxtdd1JHa9vq662tAEtKJOHW65WLj8hbsaa7JdZ0e8o2\nZbue+vnt6r5naYlrKbnsqqoq2WZbi+jYMhjkPizpJE/kFn26X331VTz99NOIiYmB9pcZGhqNBocO\nHVL0cTv7x+ebb4CsLODqq+XIn5zDYJCJqwkJTWvnyfsw6W5JmUQ2CECtk7dp4QkJMpPu5txp3zOZ\ngBdekDPHDz8sJZu2Tp6UFrxz5nCAi7yDW0ykfPnll3H8+HFEObrWuo3HHnsMe/fuxYQJE/Diiy82\nXl9bW4sHHngAubm5GD16NF5++WWnxRsWJrVobS2gQx135IictqyoYNJN5By1UCrpJOoqjUa+R/38\nWm//t3u3dEzp0wcYP9718RG5ikuT7n79+iE8PLzD99u/fz8qKyuxe/du3H///di3bx8mTJgAAHjl\nlVdw2223YdasWV2O79gx6VKyYAEQHg5MnQpcdZX8wSDnsfQ/HzVK7UiIiMgZ6uqA//xHOoI1XwhH\no5EF5Mzm1r9P580DcnI6XjtO5GlcmnQPGjQIKSkpuPrqqxEYGNh4/WOPPdbm/bKysjDvl6Uj586d\ni8zMzMakOy0tDQUFBfjb3/6Gxx57DEuXLu10fD/8IA39IyOl9iwpCYiI6PTmyI7gYDmN6K7MZhl5\nCQvrfMssIiJfUlgoDQh27ZJykvBwoKBAOoNZRrftDWD16ycXIm/n0iVg+vfvj3nz5qGurg7l5eWN\nl/aUlpYi7JfZF+Hh4SgtLW383alTp7B06VJs2bIFzzzzDEwmU6fjW7RIjrjLyqSWe8+eTm+KPNjF\ni1Jz/tVXakdCROQZBgwA5s6VQYtvvpG2uxkZsvIzEQmXjnT/9a9/BQBUVVVB34HZEuHh4TAYDAAA\ng8GACJvh54iICMyYMQM6nQ5DhgxBUVERevfu3WIbq1evbvx/SkoKJk1KQW1t056h0dFyKSqStoH7\n9gFTpsgRO/mO6GhZPInve8elpaUhLS1N7TCIyMU0GlnN2c9PzhT36CEj3c3n7ZhMwIULQO/ebZdu\nbtwot7vrLiAkRMnIiVzHpd1LMjMzcc8996CiogL5+fk4ePAg3nzzTbz++utt3m///v1466238MYb\nb+CBBx7AypUrMXHiRABSmnLrrbciMTERM2bMwK5du+DfbKZGa7NIX3hBVst68EFZKKe5tWtlh7/n\nHjnt9dFHQHGxLGvL2dVEjnGnDgruwnPa8Cm1XU/ZpmzXUz+/7rrv7dgBpKfLgjczZti/3V13yVnH\nNWu4RgZ5Hnv7n0vLSx555BFs3bq1sXtJQkICdu/e3e79EhMTERgY2DiiPXHiRDz00EMAgD/+8Y/4\ny1/+guTkZKxatapFwm1PVJTMpraUlv/8s+zcZ87I6bEVK4B777XWmf3wA/Dtt3LkTkRE5Gvy84HX\nXwcOH+7c/XNzgbQ0aRvbfLCreX4yYoRMtucoN3kTl69I2a/ZbAk/Pz+H7vfSSy81+fmVV14BAPTq\n1Qtbt27tcBx33tn051OnZAn4nBypRdPrgV//2vr7ESNkMkhlZYcfioiIyOPl58vo8+nTQHx827dt\nrVNJTo6Un8yb1/T+X38t5Zx33mkd6HrgAVkcx7KUPJE3cHnLwO+//x4ajQb19fV4+eWXMXLkSFeG\n0KrycjlyDwiQVkc//ggYjU1vs3y5/MEZM0adGImIiNR01VVylri9co/PPgOOHwdWrQJ69rReP2OG\n/DxiRNPbl5dLHXh1tfW60FCukUHex6VJ99q1a/Hwww+joKAAffr0wfz587FmzRpXhtCqujrZ4SMi\n5PLQQ3I0bnuUbvkdERGRL/LzAxwZJysrk+9V2yQakHLOceNa3v7666WNbCfWzSPyKC6dSKkWewXt\nubnA5cvAhAnyR8JslhnTPXoA116rbEyFhfLYY8cq+zhEanLXyVxq4kRKT9mmbNdTP79q7nt1ddJy\n96efgCVLgEGD5Pu2pqblKHd7qqul9CQ+nh2lyHO4xTLwZ86cwauvvorc3Fw0NDQ0Xr9582ZXhtHo\nk09kKfKwMGDYMKnpPvf/2bvz8Kiq8w/g38lKQsgEghBCICCgCIQdgUAwQADXKC51KWqpFbX6s2K1\nWqstlGqpWK0oRREXRKNxqSiIikgCCEEIi5Cw7xAgBMjMJCHbZOb3x2v2mWQymXvv3Jnv53nmIcxy\n7pnAvfe9577nPSeBwkLlt52eLoG+0Sj1TYmIiHxBSAhgMgEXLsg5NT4eWLpU0jb/8AfHFcOcycqS\nxcoKCoCpUz3XR7tdLgLCwjzXJlFzVA26b7rpJtx333244YYbEBCgauEUh8aOlQVQli4Ffv1r4Ngx\nuZpOTlZ+2yNGyMGoc2flt0VERKSmvn2lQMHll0tayogRMjHyl3XuXDZggKyd4enVgb/4AsjJAe65\np3EtcSKlqBp0h4aG1pT68wajR0vt7a1bZdQ5K0vyuD15Ne3M2LHKb4OIiEgLu3bJXeOcHBlcuvpq\n99rp1Am4807P9o1IK6rmdH/wwQc4ePAgpkyZgtDqAtkAhg4dquh2m8ptq3uLKTtbSgX266dod4j8\nBnO6G2NOt17alHb1+v9X633vwgVZ2fnKK72z1jbTS0hJzvY/VYPup59+GkuXLkXv3r1r0ksMBgPW\nrFmj6HYdffmqKqnH3aYNcN11im6eyG9pfeL3Rgy69dKmtKvX/7963/fWrJGa4FOn1i5iR6QXXjGR\n8rPPPsORI0cQEhKi5mYdsliAHTuA4GBgyhRZ+IaIiIi0l50tOeDnzwOxsVr3xjPsdqC8XAb7yD+p\nOptxwIABMJlMam7SqU8/lR36ppvUC7hLSmS5eZtNne0RERGpzWSS1Sdb49e/Bm67zXcCbkAWDXrx\nRSnaQP5J1fFdk8mEvn37YsSIEfVyutUuGWizAXv3Si3R7t2BykoJvBsuWetpX30lq3TdcIPUBici\nIvI1H38MnDkDTJsG9O7t+D12O5CZKWVzHU3r6tpVHq6y22WRu+Bgt7qsiupsAx1n/VArqRp0z549\nW83NOZWfD0REAAEBMtr9+utS3ujWW5Xdbp8+MgLQkgMJNa2qCtiwQUZDnB3ciYhIPdVlAusuAd/Q\n2bPA2rXyPk/UUnj1VamUMmcO0KVL69tTws03A9deKwUbyD+pGnRfddVVyM/Px5YtWwAAV155JTp1\n6qRmFwAAMTGy5Gz79nJlbLPJqLfShg+XB3nOkSMy4SYqCnjsMa17Q0RE48fLoymdOgETJnhulcns\nbCAvT9JavDXoDghgwO3vVK1e8sknn+DJJ59EcnIy7HY71q9fj3nz5uFWhYeYnc0i3b1bdtDERKBD\nB7nibq2DByV1ZcIE7lxqqKwEvv8e6NZNFjYi76L3CgpKYPUSvbQp7er1/68e9r2qKhk0iY5uPNq9\nZYusQjl5smvzrnbskPNvaqqsiEmkJa+oXvL8889jy5YtNaPbBQUFSElJUTzodmb9euD0aeDSS5u+\nDdYS69YBx49LuoPC5ccJkr937bVa94J8VUxMD+Tnc9YTkRJOn5b0wNDQxufLH36QOtoJCTKo0pzB\ng+VB5M1UDbptNlu9dJLo6GjYNCzlce21kp5wxRVNv2/9elld61e/Ajp2bPq9kyYB+/cD/fu73o/i\nYuDrryUPbvBgqXJy6JAs0sNShkTakYBbiVFZIt9w4ICMSk+a1Hjw6vRp4PPPZQn4kSMbf7ZrVyAl\nRe40AzLBcPduGbS6+WYpFxgXp/x3IFKLqiHd1VdfjSlTpuDOX9Z0TU9Px7UaDlN26+baFfThwzLp\nIz+/+aDb1TbrOnJESglaLBJ0f/cdsHOn/N0blotftUouAu66y3P5d0REpH/bt8tAU3Q0cPSonP+q\nT+unTwPnzsk5zlHQbTDUP8ft2SPlfOPigN/9TpXuE6lK1aB73rx5+Pzzz7FhwwYAwIwZMzB16lQ1\nu+CW1FSZFd3ciLi7+vUDSkulfCEgI97nzgE9eyqzvZY6dEguOC5cYNBNRES1Jk+WQLtTJyArSxZ/\nqTZkiFQKi4uTQaTKSgnOnYmNlfOgUudaIq2pMpHyP//5DxITEzF06FAEaZAv0doJJV9+KVfz11/v\nn9VHzGYJuL3lIoD0Qw+TuZqin0mPnEjJiZT1abHvHTsmAzNRUfWft9mAefOkSthjjwHt2qnaLSLV\naTqR8uTJk3jsscewd+9eJCQkYMyYMUhMTERiYiI6VCdzebFOnYCwsNq8M39jNHrvCPfFi5IH2Lat\n1j0hIvJv8fGOnzcYgM6d5XjtqLKI1QoUFUkZXyJfpmrJwIqKCmRnZ2Pjxo3IyspCVlYWoqKisHv3\nbkW3q/fRNnKsshJ45RUZRZk5U2bAk3fR+77HkW699JUj3Q3pad/79FMgN1fmDV12mda9IWo9rygZ\nWFpaCovFArPZDLPZjNjYWCR4QXHlsjK5+g4I0Lon1BIGg9yBsNn4b0dEpBelpXLsrhYeLutktGmj\nXZ+I1KDKSPeMGTOQm5uLdu3aYeTIkRg1ahRGjRqF9irdS2rqiv/ECeDdd2Uyo0blwv3W9u1SijE1\ntXEOoKuq/1kNrMKmqQMH5N+wYckwPY22OcKRbr30lSPdDXnbvvfNN5Je0qmT1OC+7jopJQjIvKHj\nx6XULgdQyBc42/9U+e99/PhxlJeXIyYmBl27dkVcXByi3I2yPKz6d1JdLnzrVuCzz+RKnJS1Y4eU\nYzx61P02DAYG3Fo7eRL48EPggw+07gkReSObTZZp37VL1qU4cADYtKn29WXLpJ73rl3a9ZFIDaqk\nl3z77bew2+3Izc3Fxo0b8e9//xs5OTno0KEDRo8ejdmzZ6vRDYe6dweefLI2HzgrS8r1JSRI6T5S\nTmqqjG54QYYRtUJ0tFS2iY3VuidE5I0CAoB77pFUzi5dZMG5CxekmklIiJQIrKjgQjjk+1SdSAlI\nJZMNGzZg48aNWLFiBc6fPw+TyaToNltymy0vTx7Dh/M2F1Fredst7pZieole+sr0koa8ed/LyQGC\ngzmwRb7L2f6nStA9f/58bNy4ERs3bkRwcHBNucDExEQkJCQgQOHo1psPPkS+TO/7HoNuvfSVQXdD\net/3iPRM0+olR48exW233YZXXnkFXbp0UWOTXuvQIclnGz/ef0vc2e3MwyYi8gfuHu937pRUz+Rk\n3nUm36FK0P3yyy/X/Pzjjz/iwIEDmD59OgoKClBcXIyeOl7q0GaTZW/rlj9qyg8/AKdOSf7rwIHu\nbzM9HaiqAu68U0ot6UVJCbBwoSw09Nvfat0bIiJqDbtdCg+Ehzd+7ehRmWA9ahSQktKydleulBzw\nPn1kmfnmrF4tg1p33glERrZsW0RqUfX6cfbs2fjXv/6Ff/7znwCAyspKTJs2Tc0u1GOzSW5Za1LK\nly2T5W1drcCRkgIkJrYul81qlYPLkSMS8OtJZaUcoC0WrXtCviYmpgcMBoNHH0TUtNWrgRdflHNp\nQyUlcr5y53h//fUyyt21q2vvP3AAOH0aOH++5dtSS2Gh/J6Y9eO/VF0c54svvsD27dsxdOhQAEBs\nbCyKiorU7EI9OTnA//4nS9dOn9749bw8qSWdlOS5ZdAvvVQerRESAvzud3LR4Gh0wZtFRQGPPup4\nKWB/c/as3KWIjta6J74hP/8YlMkVJqLmOAok+/eXutzuLMnRrZscG11NLbnrLgm4veXG+ZkzwJYt\nwNixtd//iy+kYhcADBigXd9IO6oG3SEhIfVGkEpKStTcfCNxcZIWsnevPPr2rf/6jz8Ce/YA7doB\nV13luI2bbgKuucb19BJPiYlRd3ue5KkLGD0rLgbefFOC7j/9CQhSdU8kIvKMlBRgzBjnA0ANF8xy\n1TvvyAj5Qw9J4N6cbdvkDvAllwAREdrPG9q0SdaiaNMGmDRJnuvfX/50dfSefI+qp/pf/epXeOCB\nB2AymfDWW2/hnXfewf33369mF+rZswcoKJCA59Ch+kH32rWyUE7fvsCwYUB+vlytNhyhDQhQP+Am\n/QsNlXq1ISH6ysknIqrLYFDmjuvp08CxY64fH/fskbuHW7dKHfDERGDiRM/3y1VjxkjAfeWVtc+N\nHCkP8l+qBt1PPPEEvv/+e0RGRmLfvn34+9//jknVl4Aa2L1bAuYRIxpP8igqkgPJ0KEy8TEtTSZ0\n/PrXLdtGaakcDPr3999qJdRYcLCkCBER+Yrdu2WSvCfuxO7fL8vDnz7tWgrenXfKIFp5uRQZ0DBz\nFYCMuF99tbZ9IO+jWtBdVVWFlJQUZGRkaBpo13XbbbJD9+1beyvKZpNlrSdPlhnXHTvKe8LC5OeW\nysgANm+WXDNXvzZL6hERkZ4cOwZ88omkD86c2fr2kpOBw4eBHj1ce3/79rW50126uJdHTqQ01YLu\nwMBABAQEwGw2w+glSb1RUfKo68cfgTVr5NZQdZDcpQvw1FPubaNvXwnaL7vMtfd/8YXkl993n2t5\nbERERFrr1Am4eBE4cUIGrlq7pLvBICPcpaWSo90S7gyQEalB1fSSiIgIJCQkYNKkSWjbtm3N8/Pn\nz2/2s48//jiys7MxbNgwvPLKK41eHzJkCP7v//4Pv21B8WeLRUahhw6VW2KA7KxhYe5P/miopdVK\nzGagokLqkxIREelBWJicS/fuleC7tWJiJPBWas7UiRPAwYMywMZqWqQWVYPum2++GTfffHOLP7d9\n+3aUlJRg3bp1+P3vf4+tW7di2LBhNa8vX74cndwYFs7KksfFi0BqqjzXr588tHLXXVLZovoigIiI\nSA9uuUUGjjwx0nz77a1voynffScj8lFRwJAhym6LqJqqQfe9997r1uc2bdpUkweekpKCrKysekF3\nWloa7rjjDofr3Ddl2DAJuEeMcKtbiggJYcBNRET6Exysn9SOceNkVL41C9URtZSqQfeBAwfw5z//\nGbt370ZZnfyJw4cPN/k5k8mEXr16AQCMRiN2795d89r333+P5ORkBAYGwmq1tqg/HTsCU6e26CNE\nRESkc5dd5vpcKyJPUTXonj59OmbPno2ZM2ciIyMD7777Lmw2W7OfMxqNsPyyjqzFYkFUndmPixcv\nxvvvv4+PP/64yZHuWbNm1fycnJyM5ORkt78HETmWmZmJzMxMrbtBRETkdQz2luZktMKwYcOwdetW\nJCQkYNeuXfWea8r27duxaNEiLFy4EA8//DCmT5+O4cOHAwCGDh2KmJgYnDx5EgDw2Wef4bIGl68G\ng6HFqSdE1Hpq7nuy0q0Sy8D7a5tKtauXNqVdvZ47eN4j0o6z/U/Vke7Q0FDYbDb06dMHr7/+Orp2\n7Yri4uJmPzdkyBCEhoZi3LhxGDp0KIYPH45HH30U8+fPx7Zt2wAA77//PqxWa6OA25N27gRKSoDR\nox2/brUCy5dLndIJExTrBhERkerOnAG+/17Ogb17e67dEydkMZyxY7mIHPk2VUe6t2zZgiuuuAIm\nkwnPPfcczGYz/vSnP2HUqFGKbtfRFcf588C5c65PorDZgDlzZOGaRx5xPFmkoABYsECWlX/2WQ90\nnEjnONKt5zaValcvbUq7eh0tVmLfW7tWFnwbOBBwoxCZU++8Axw/DtxwgxQ4AGRJd4vFs8E9kVqc\n7X+qBt1acfTlFyyQIPmee5zX0bZYgFWrgIQECc5/+klGusePd75iZE4O0LYt0LOnh78EkQ4x6NZz\nm0q1q5c2pV1P//+NiemB/PxjHm2zc+d4nDlztN5zSux75eXAjh3AFVcAkZEt++zatVItbMoUICCg\n/muHDgF79sgd4vBwee6ll6R87gMPyAJ1RHriFekl+/fvx7x583Ds2LF6lUbWrFmjZjcASC3uI0ea\nXvVx3z4JoktKJOgeObL5dgcM8FwfiYjIt0jA7dlgOD/fySiQh4WGunYebKiqCsjMlDvFI0c2Lovb\nq5c86howAMjP53Lu5FtUDbpvu+02PPjgg7j//vsRGBio5qYbGT9eHk0ZNEhWhqxOE//sM6CwELj7\nbqBNG+X7SEREpHeBgXIHuKjI9SXdr75a2T4RaUHVoDsoKAgPPfSQmptslZAQICmp9u+HDwOlpTLy\nzaCbiIioeTYbUFkpwXdZGZddJ/+lSk73hQsXAADz589Hp06dMHXqVITWmaLcQeElGD2V23bhghww\nYmM90ClqsS1b5GA9aJDWPSFXMadbz20q1a5e2pR2Pf3/V6n/pw376W0lA8+fByoq1M3P3rlTztlX\nXqneNokAjXO6hw0bVq8DL730Ur3Xm1uRUimFhcDBg8DgwbJ8bXO4PLt2TCbg66/l5379XPv3IiIi\n7xAdre72rFbgiy8kj7xPH/dzw/fulfNNw5xzIneoEnSnp6ejW7du6PLLJe6SJUvw+eefo0ePHvVW\nilTbN99IbVCbzb3JIaQeoxEYN05GuhlwExFRU4KCgJQUGemus4h1i1gswMcfS7WVp59mWgy1XkDz\nb2m9Bx98sCadZN26dfjzn/+Me++9F0ajETNmzFCjCw4NHizB3P79snNVVcntr6Zs3Ai88grwIPsk\ncAAAIABJREFUywKYTdq/X1IiqPUMBiknNXasNts/flxKTBKRPwmFwWDw6MOXVVTIIJa36N1bKo85\n+rUfOCCL2V286PzzERHAkCHAiBGOA+6vvwZeew0wm1vf1+JiKatoMrW+LfJeqox0V1VV1eRtp6en\nY8aMGbjllltwyy23YPDgwWp0waF+/aTm6P79wK5dkv9lNgMPPwy0a+f4M3l58p6CAiAurun2P/1U\nJo906wbExHi+/6SO8+eBd9+VcllPP611b4hIPeVQJv/c95w/D7zxBtC1K/Cb32jdGxlEW7xY/nzs\nscZ1xdeulcGzuDgJrB0JCABuvNH5Nk6ckO9tNssAXmtkZQEbNkhbqamta4u8l2pBt9VqRVBQEH74\n4QcsWrSo5rW69bq1MGGC1OoeMgTYvl2u0puae5KaKle98fHNtz1+vOSNX3KJ5/pL6ouIALp3d/8W\nJRGRr7Pb5VFVpXVPRGCg5HKXldUuuFPXlCky2t2/v/vbmDZNRqabG4BzxcCBEi8MHdr6tsh7qVK9\n5Pnnn8fKlSvRsWNHHD9+HNu2bYPBYMDBgwdx7733YsOGDYpu39VZ3JWVcsBgOUAiz2D1Ej23qVS7\nemlTqXZ9t3pJaanMuQlStRgxkffRfBn4TZs24fTp05g8eTLatm0LQFaoLC4uxlCFL+0cffm8PMmh\n+u47YNSoxiWFSkqATz6REc7Ro+U2E4NxopZh0K3nNpVqVy9tKtWu7wbdTam+i+zqungVFfJwdTGd\nllq7FvjpJ+B3v6utTLZsmaSOTpsGhIUps13yD5ovAz9q1KhGz11WvdSjyvbvB9LS5CBw6pRMjnzq\nKUkx2bsX+OorWYL22DHg3Dlg82bJ533sMQm+iYiIyDV2O7BwoYyEP/ywawHt4sWyNsbvf69Mud60\nNGDfPqBv39oc6oMHZTCuqMi1Pm7fDnz/veR9X3655/tIvscvbwIZjTJRcsAAuardu1fyvgDg7FmZ\nzRwYCNx1l+SCpadL0O3jE8+JiIg8zm4HysslhdPV6iZhYZKq4urIeEtdd51Mrhwxova53/5W7nJ3\n6uRaG2fOSLxQUMCgm1yjWnqJlpq6zWaxSFA9dCgwbJgcEE6ckIkR1Tu7zSYBN4NuopZheome21Sq\nXb20qVS7/pleUl4uc6YcTWp0xG6Xc69SQbcnWK2SqtqtW+O74IcPAz/+KLXCuYq1/3G2//llsoTV\nKqV5Tp+W+st5ecDWrXJQ2LRJrn7r7ugBAQy4iYiI3HXkiKR2AlIWb8MGSTdxxmDw7oAbkAmj8fGO\n005zciTw3rNH/X6R9/LL9JKcHMnD6tYNmD4duOEG+XnzZuCHHyQIv+02rXtJRESkf1VVckfZbpfi\nBOvWyRoZZWXAxIla904ZEyYAnTsDgwZp3RPyJn4ZdPfuLfncV1whV6jDhsnzAQGSWuKsUD4RERG1\nTGAgcNVVkv8cFSWrQV+82Loa2d4uIgIYOVLrXpC38fuc7qZkZEj1khtvdLwELBE1jTndem5TqXb1\n0qZS7fpnTrce8JxPnsKcbjf89BOQmyvLvBIREZHv2ryZ53xSll+PdO/bBxw6JDlloaGNP3f8uEz4\nSEho3fbNZplQkZDAlbrIv3CkW89tKtWuXtpUql2OdLtixw4pxTdhgmsTKs+eBfLzJXXU3cIHnjrn\nE2m+OI43WrNGdtLu3WVHbah7d8efu3BBVrIcMkQK6zdn5UoJ8CsqmONFRETUnG+/lYmWfftKoYPm\nfPqpBOlhYTJvy1VFRXKO7tuXkx5JeX4ddE+ZAhw92vKi9vv3SxBts7kWdA8YIOUIL73UrW4SERH5\nldRUya+Oi3Pt/YMHS1nCLl1atp0jR6Ssn8XCoJuU59fpJYCUMlqzRlagcnWHq6iQut6XXQZER3uw\no0Q+huklem5TqXb10qZS7TK9pKUOHpTBrgkTgDZtPNt2VRWQnS31tmNiPNs2+S+mlziRlydF+sPC\nXA+6Q0KA0aOV7RcRERHJwNipU0DXrp4fjQ4MZNonqcfvg+64OGD8eOCSS7TuCRERETU0ebKMdl9x\nhdY9IWodv08v0VJBAdC+vecrmlRVyZ/evoQu+T6ml+i5TaXa1UubSrXL9BIllJcDJSVAhw7Kb8tq\nlfOru1VSyPexTrcThw8DS5cCu3apu91du4AFC4Dlyz3bblWVtPvqq5J7TkRE5Os+/BB47TXg5ElJ\nRamsbPr9OTnAJ59I9ZKWKCgA/vUvIC3N/b6S//L7oHvbNmDFCuDf/wa2b2/8utUKlJZ6frsRETLC\nbTR6tl27XYLtykqprkJEROTrIiJk5PngQWDRIuCrr5p+/08/Abt3y1odLVFVJQ8OapE7/D6ne+JE\nKap//jwQFdX49cWL5bXf/15SQTylZ0/gL3/x/O2poCDgkUck+Pb0LG8iIiJvVF4uf7ZtK+e+5uZp\nXX+93Ol2tEZHU2JigMcf5/mV3OO3QfeFC/Lo3VsCamcCA4GAAGVyt5TKB+PBgIiI/En1ubp7d+Dp\np5t/f+fO8mjOiRPSdmxs7XMREe73k/yb306kfO01WfJ1yBDgxhvl6tiR6ltJISEqdJTIx3AipZ7b\nVKpdvbSpVLucSOnIsWOS6jF2rHvnW5tN0ipDQz3Xp+Ji4OWXJZh/6ikgONhzbZNv40TKBvr2lRWo\ncnJkoRtnAgO9N+AuLgZ+/lnyzomIiPTq22+BdeuAvXvd+3xAQMsCbpNJzv9NzX0KCwN69ZJVqz1d\nZYz8k9+OdANy22jbNuCqqxznc3u7Tz8FcnOlhmliota98T5nzshM84QErXvivzjSrec2lWpXL20q\n1S5Huh3Ztw84cEDmWYWFKb+9d9+V0fWbbwYGDqz/Wnm5BOR9+zq/C07UFK5I6UC3bvLQqyuuAMxm\nmZRJjX38sYxmtGsH9OihdW+IiMiZyy+Xh1r695eCA3FxjV/bsEFG3fPygNRU9fpEvs+vR7rJt61b\nJ3czbr5ZnZETaowj3XpuU6l29dKmUu1ypNvbnTwJfP89kJQkxRaIWsrZ/qeboPvxxx9HdnY2hg0b\nhldeeaXm+b///e/49ttvYTAY8I9//APjx49v9FkefIi0waBbz20q1a5e2lSqXQbdRL5O1xMpt2/f\njpKSEqxbtw7l5eXYWmfm47333ouNGzfim2++waxZs7TrJBERERGRE7oIujdt2oRJkyYBAFJSUpCV\nlVXzWnx8PAAgJCQEAQGe+To2m1Q0yc/3SHNuOX5c8pGJiIj8zYkTwM6dWvfCfRUVMjG0qkrrnpA3\n0UXQbTKZEBkZCQAwGo0wOYhGZ82ahQceeMAj29u7F1i+HFi2zCPNtdjJk8A77wDvv6/N9puzdy/w\n5ZfAxYta94SIiHzRRx8B//ufTGbUo48/Bp59FlixQuuekDfRRfUSo9EIi8UCALBYLIhqUN9v2bJl\nuHDhAu644w6nbdRNPUlOTkZycrLT93bvDsTHA127tqrbbouKkqVmvbWyyvr1ciCMjwcGD9a6N+RN\nMjMzkZmZqXU3iEjnRo4Ezp5tfjl3d5WXy6rUXboo035hoVQX4x1rqksXEym3b9+ORYsWYeHChXj4\n4Ycxffp0DB8+HACwc+dO/PGPf8TKlSsR7GS5KHcmlCxYAJw7BzzwgATAVOvkSVk5LDGRK3RR0ziR\nUs9tKtWuXtpUql1OpPQGH34o6R933CH1uD3twgVgxw5gxAgpW0v+RdcTKYcMGYLQ0FCMGzcOwcHB\nGD58OP7whz8AAP70pz/h7NmzmDx5MqZOnepW+9u2AS+9BBw8KH+/eFFWoYyMBMLDPfUtfEdcnCwo\nxICbiIhao6hIBrjU1qmTLHxjNLa+rePHgX//G6gz3QwdOgATJjDgpvp0MdLdWg2vOEwm4LPPZHGZ\nMWOAr78GtmypXdnxjTdkNcPf/c5x4Xwicg1HuvXcplLt6qVNpdrlSHddL70kA13/939A+/bO31dV\nJaswBwUBt9wCGAzq9bE5W7fKPLCEBOkbEVekrOP0aUmRAACLRXb4u+8GLr1UnouJkeciIrTrIxER\nka+LiZH85zZtmn5fWRmwf78E25WVcje6tFQKHnTvLgNoWhk6FOjYUbn8cPIdfjnSbbdLBY5LLgH+\n+18pEfjYYzKBkYg8hyPdem5TqXb10qZS7XKk213HjwMBAbV3oI8cAZYskXP3Y49p2zeiunS/ImVr\nNHXwOXJEZjErMZGCyN8x6NZzm0q1q5c2lWqXQben2O1Sy7tTJ44yk3dh0O37X5PI6zDo1nObSrWr\nlzaVapdBN5Gv03X1EiWUlcmDiIiIyJeUlEjuO3kXvwy6KyqA114D5s+Xn4mIiIh8QWEh8MorwOLF\nWveEGvLLoDsgQGpMBwdLcXwtaoQSERERATIqvWuXZ+7ABwRIacWQkNa3RZ7ltzndVVXAsWPA++9L\nEftHH3W9PZNJyhZ5oqg+kS9jTree21SqXb20qVS7zOn2B1VVst5HbKxrNcXXrAHWrZMVLK+7rvXb\nt1ol+A7wy6FV7TGnu4HAQKBzZyA+HujXz/XPXbwoS8QvXMh8KSIiImrshx+At94CNm507f09e0rN\n8t69PbP9oCAG3N7ILxfHqda2LTB9ess+ExwsI+NBQRK4ExEREdUVHQ2Ehkq84IqePYEHH1S2T6Q9\nv00vISLlMb1Ez20q1a5e2lSqXaaXEPk6ppc4UVEBvP66pItUVbn2mYwM4J//lNWxiIiIyDmbDbj3\nXuCWWwCzWeveEHlOS69r/TroPnwY+Mc/gB075EBgs7n2ufPnZRVLi0XZ/vm6PXuAt98GTp3SuidE\nRKQUm02qhJnNMi/KHxw4IOe3Eye07gkp5fPPgblzgYIC1z/j1zndJSUy0WDCBCA1VfK1XXHjjcDY\nsTLpgdy3Z48ckA4dkhneRETke4KCJAAtL/ef5dr37pXz24EDQLduWveGlFBUJNkSLSnz6Nc53SUl\nQGkp0L49J0VqobhYDkgDBrh+wUP6wpxuPbepVLt6aVOpdpnT7Q8uXpTAe8AA5epll5QA4eGulSQk\nz6uokH+D9u0bv+Zs//PboHvjRmDVKuDqq4FRozTqGJGPY9Ct5zaValcvbSrVLoNuar3cXODTT4HR\no4EpU7TuDTXEiZR1VFYCK1YAO3dq3RMiIiKiljEYah+uyM8HXn1VFuAh7fhlTndZGRAWBgwaJKs/\nEREREelFv37An/4EtGnj2vvPnQMKC1l1TWt+m16Sny+TO6KjW99+VRWwdSvQowfQqVPr2yPyFUwv\n0XObSrWrlzaVapfpJd7g7Fng6FFg2DD/mdN19KisxB0WpnVPfJ+z/c8vR7oB+Y/nKTk5wMqVMkP5\nvvs81y4RERF53ooVMuobGip3vf1Bjx5a94D8Nuj2pJ49gcsvl9s9RERE5N2GD5cR3549te4J+RO/\nTS9pyGwGNm+WW00dOqjUMSIfx/QSPbepVLt6aVOpdple4oq9eyUPecwYlsQj/WF6STM2bQKysqRu\nd2qq1r0h8k2VlZXo0aMvzp7N82i7oaFMUiTyJcuWSdGD+HguLkO+g0H3L4YNk4D7yiu17gmR77Ja\nrcjPz0NVlcmj7YaHXwVgs0fbJCLtTJ4sy2tztWLyJUwvISLFNNz3SktLERnZAVZrqUe3YzSOhtm8\nCXpJBdBHm0q1q5c2lWqX6SVEvo6L4xARERERaYRBNxERERGRwhh0ExEREREpjEE3EREREZHCGHQT\nERERESmMQTcRERERkcIYdBMRERERKYxBNxERERGRwhh0ExEREREpjEE3EREREZHCGHQTERERESlM\nN0H3448/jnHjxmHmzJn1nj99+jQmTpyIsWPHYs2aNRr1joiIiIjIOV0E3du3b0dJSQnWrVuH8vJy\nbN26tea1uXPn4vnnn8eqVaswZ84cDXtJREREROSYLoLuTZs2YdKkSQCAlJQUZGVl1by2a9cujBo1\nCuHh4YiMjERxcXGz7R09CqxZA1RWKtVjIiIicteePcD69YDdrnVPiDxHF0G3yWRCZGQkAMBoNMJk\nMtW8ZrPZan6OjIys95oz334LrFsH7N3r+b4SERFR63z5JfDDD8DJk1r3hMhzgrTugCuMRiMsFgsA\nwGKxICoqqua1gIDa64aGr9U1a9asmp8vvTQZI0Yko08fRbpL5LcyMzORmZmpdTeISOemTAEKCoDY\nWK17QuQ5ugi6R48ejUWLFuHWW2/F6tWrMX369JrXBg4ciE2bNiEhIQFFRUWIiIhw2EbdoJuIlJGc\nnIzk5OSav8+ePVu7zhCRbg0ZonUPiDxPF+klQ4YMQWhoKMaNG4fg4GAMHz4cjz76KADgySefxF/+\n8hdMnjwZzzzzjMY9JSIiIiJqzGC3+/40BYPBAD/4mkRep+G+V1paisjIDrBaSz26HaNxNMzmTQA8\nvZ8b/LhNpdrVS5tKtatMmw3PcTzvEWnH2f6ni/QSIvINBoMBNlslIiLu8mi7ZWUHPNoeERGRp/nN\nSDcRERERkRochde6yOn2BLvdXu/xt7/9rdFzvv7wx+/sr9/bW76zL+x77C/7q8f+AtBNX/X+u/bV\n/vvCd9Cq/874TdBNRERERKQVBt1ERERERArz26A7OTkZx48DL70EbNigdW/UUbd+sj/xx+/tzd9Z\njb6VlQELFwIffND6trz5d+kI+6ssPfVXT311hP3Xnt6/g7f1328mUjr6mtu3y1KzAwYAt96qQceI\nfJxWZctMJmD+fKBNG+DJJwHOpSZ/w5KBRNpxtv/5ddANAMePAzExQEiIyp0i8gNanvgLCmS/Nho1\n2TyRphh0E2mHQbfvf00ir8N9j0gb3PeItONs//PbnG4iIiIiIrUw6CYiIiIiUhiDbiIiIiIihTHo\nJiIiIiJSGINuIiIiIiKFMegmIiIiIlIYg24iIiJyW0xMDxgMBo8+YmJ6aP21iDyOdbqJSDHc94i0\noea+ZzAYAHh6Wzx2kH6xTjcRERERkUYYdBMRERERKYxBNxERERGRwhh0ExEREREpjEE3EREREZHC\nGHQTERERESmMQTcRERERkcIYdBMRERERKYxBNxERERGRwhh0ExEREREpTNGg+/Tp0xg2bBjCw8Nh\ns9kAAC+99BKSkpJw9913o6qqCgCQlpaGMWPGIDU1FcXFxQCAjIwMJCYmYuLEiTh16hQAIDc3F0lJ\nSUhKSkJOTk7NNiZOnIixY8dizZo1Sn4dIiIiIiK3KBp0R0dHY82aNRg1ahQAoKCgAJmZmVi/fj0S\nEhKwbNkyWK1WvPHGG1i/fj2mTZuGN998EwAwZ84crF69GnPnzsULL7wAAHjuueeQnp6O9PR0PPvs\nswCAuXPn4vnnn8eqVaswZ84cJb8OEREREZFbFA26Q0JCYDQaa/6enZ2N5ORkAEBKSgqysrJw4MAB\nDBw4EAEBATXPlZaWIjw8HOHh4RgxYgR2794NACgsLERsbCxiY2NhNpsBALt27cKoUaMQHh6OyMjI\nmpFyIiIiIiJvEaTmxkwmEyIjIwEARqMRJpMJZrPZ4XPt2rWr+Vx1Gkp1igoA2O32eq8BQGRkJEwm\nEyIiIhpte9asWTU/Jycn1wT/ROQ5mZmZyMzM1LobREREXkfVoNtoNCIvLw8AYLFYEBUVBaPRWDNq\nXf1cZGQkLBZLzecCAwMBAAaDoea5gICAen/W/bwjdYNuIlJGwwva2bNna9cZIiIiL6JK9ZLqUekR\nI0Zg7dq1AIDVq1dj1KhR6NOnD3Jzc2Gz2WqeCw8PR1lZGUpKSrB582b069cPgOSI5+Xl4dSpUzWj\n44MGDcKmTZtQUlKCoqIih6PcRERERERaUnSk22q14pprrsHOnTsxZcoUvPDCCxg3bhySkpIQHx+P\nmTNnIigoCPfffz+SkpLQoUMHpKWlAQCeeeYZTJo0CWFhYViyZAkAGa2+/fbbYTAYsGDBAgDAk08+\niXvuuQdlZWUcVSMiIiIir2SwVw9D+zCDwQA/+JpEXof7HpE21Nz3JPXT09visYP0y9n+x8VxiIiI\niIgUxqCbiIiIiEhhDLqJiIiIiBTGoJuIiIiISGEMuomIiIiIFMagm4iIiIhIYQy6iYiIiIgUxqCb\niIiIiEhhDLqJiIiIiBTGoJuIiIiISGEMuomIiIiIFMagm4iIiIhIYQy6iYiIiIgUxqCbiIiIiEhh\nDLqJiIiIiBTGoJuIiIiISGEMuomIiIiIFMagm4iIiIhIYQy6iYiIiIgUxqCbiIiIiEhhDLqJiIiI\niBTGoJuIiIiISGEMuomIiIiIFMagm4iIiIhIYQy6iYiIiIgUxqCbiIiIiEhhDLqJiIiIiBTGoJuI\niIiISGEMuomIiIiIFMagm4iIiIhIYQy6iYiIiIgUxqCbiIiIiEhhDLqJiIiIiBTGoJuIiIiISGEM\nuomIiIiIFMagm4iIiIhIYQy6iYiIiIgUxqCbiIiIiEhhDLqJiIiIiBTGoJuIiIiISGGqB90VFRW4\n6aabMH78eEydOhUVFRWYN28ekpKScPfdd6OqqgoAkJaWhjFjxiA1NRXFxcUAgIyMDCQmJmLixIk4\ndeoUACA3NxdJSUlISkpCTk6O2l+HiIiIiKhZqgfd3377LYYPH46MjAxceeWV+Pjjj7F27VqsX78e\nCQkJWLZsGaxWK9544w2sX78e06ZNw5tvvgkAmDNnDlavXo25c+fihRdeAAA899xzSE9PxyeffIJn\nn31W7a9DRERERNQs1YPu6OhomM1mAEBhYSGOHz+O5ORkAEBKSgqysrJw4MABDBw4EAEBATXPlZaW\nIjw8HOHh4RgxYgR2795d00ZsbCy6dOlS0y4RERERkTdRPehOTEzE1q1bkZCQgK1bt6J3796IjIwE\nABiNRphMJpjNZofPtWvXrqad6jQUm81W85zdblfxmxARERERuSZI7Q0uXboU1113Hf74xz/i5Zdf\nRkVFBSwWCwDAYrEgKioKRqOxZtS6+rnIyMia9wFAYGAgAMBgMNQ8V/fnhmbNmlXzc3Jycs3oOhF5\nTmZmJjIzM7XuBhERkddRPeg2m83o0KEDAEk1OXr0KLZs2YInnngCq1evxqhRo9CnTx/k5ubCZrPV\nPBceHo6ysjKUlJQgNzcX/fr1q2kjLy8PBoMBRqPR6XbrBt1EpIyGF7SzZ8/WrjNERERexGBXOSej\nsLAQt99+OyorKxESEoL09HQsWrQIy5cvR3x8PN577z0EBQXhww8/xH//+1906NABaWlpaNeuHX74\n4Qc899xzCAsLw5IlSxAXF4ddu3bhoYcegsFgwIIFCzBw4MDGX9JgYOoJkQa47xFpQ819T+4ye3pb\nPHaQfjnb/1QPurXAEz+RNrjvEWmDQTeRdpztf1wch4iIiIhIYQy6iYiIiIgUxqCbiIiIiEhhDLqJ\niIiIiBTGoJuIiIiISGEMuomIiIiIFOa3Qffhw8CJE1r3gog8Zc8e4OxZrXtBRETkmF8G3RYLsHQp\n8N57gNWqdW+IqLWOHgXS04GPPtK6J0RERI6pvgy8N2jbFujbF2jTBgjyy98AkW/p1Am49FKgWzet\ne0JEROQYV6QkIsVw3yPSBlekJNIOV6QkIiIiItKI3wbdW7cC2dla94KItLB9O7B5s9a9ICIif+KX\nGc0XLwLLl8vPV1whOd5E5B8qKoAvv5SfL78cMBq17Q8REfkHvwy6w8OBiRMBu50BN5G/CQkBJk0C\nKiuByEite0NERP7CpYmUBQUFeOutt3D06FFY69TYe+eddxTtnKdwMheRNrjvEWmDEymJtONs/3Np\npPvGG29EUlISUlJSEBgY6PHOERERERH5MpdGugcPHowdO3ao0R9FcLSNSBvc94i0wZFuIu20qmTg\n9ddfj5UrV3q8U0RERERE/sClke527dqhpKQEoaGhCA4Oht1uh8FggMViUaOPreboisNqBQ4fllXs\nuColkTLUHunOz5c/O3dWbZNEXokj3UTaaVVOd1FRkcc7pLWMDGDDBiApSSqZEJG+lZcDb70lVYme\neAIIC9O6R0RERLVcHuMtLCzEgQMHUFZWVvPcuHHjFOmUGuLigPbt5U8i0r/gYCA+XoLukBCte0NE\nRFSfS+klixcvxquvvoqTJ09i8ODB2LRpE0aPHo01a9ao0cdW42QuIm1w3yPSBtNLiLTTqomUr776\nKrZs2YL4+HhkZGRg+/btiIqK8ngniYiIiIh8kUtBd5s2bdCmTRsAQHl5Ofr27Yt9+/Yp2jEiIiIi\nIl/hUk53XFwcTCYTbrrpJkyaNAnt27dHfHy80n0jIiIiIvIJLuV017V27VqYzWZcffXVCNHJbCXm\nlRJpg/sekTaY002kHWf7X5NBt8ViQWRkJC5cuODw9Q4dOniuhwriiZ9IG9z3iLTBoJtIO24F3ddf\nfz1WrFiBnj17NmrAYDDg8OHDyvTWw3jiJ9IG9z0ibTDoJtKOW0G3r+CJn0gb3PeItMGgm0g7bq1I\nuW3btiYbHTp0aOt6RURERNRI6C/BvOd07hyPM2eOerRNopZocqR7/PjxAICysjJkZ2dj0KBBsNvt\n2LlzJ4YPH46srCzVOtoaTV3xnz0LREQA4eGe325xsSxNHR3t+baJ9MDbRrrLygCTCYiJ0bonzbNa\ngfx8IDYW8HDsQX7AF0a6OXpOeuXW4jgZGRnIyMhAly5dsG3bNmRnZ2Pr1q3Yvn07unbtqlhn1XLq\nFLBwIbBkiTLtv/kmsGAB4GQeKhGpLD0deOMN4NAhrXvSvG+/Bd56C9iyReueEBGRJ7i0OM6+ffuQ\nkJBQ8/cBAwZgz549inVKLeHhQLt2QKdOyrTfqRNgNAK/rCtERBq75BKgbVvZ771dx45AaCigkyJR\nRETUDJcmUt55551o27Ytpk2bBgD48MMPUVxcjI8++kjxDnqCt93iJvIX3PeItMH0Esdt8nhEamhV\n9ZKysjIsXLgQ69atAwCMGzcODz30UM3S8N6OJ34ibXDfI9IGg27HbfJ4RGpodcnA0tLDC29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6Jq1ftjdaWiqirJEa6bCpKXJxeI589L2ogWTCZ5nDwpd/kKC+Vnd504IcfSQ4fkd6D1PrhjB7Bs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\nMT3jpJsxxhhjjDE9+z90csaN1yAs9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe8e29a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['Men', 'ShareWomen', 'Median']], figsize=(12,12))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not much coorelation between these plots. Women with less majors have higher earnings. Women tend to go less toward engineering and since top 10 courses are engineering programs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe820dda0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GGNNjnMQZY0yPcRJnjDE9xkmcMcb0GCdxxhjTY5zEGWNMj3ESZ4wxPfZCSTwyMhJKpRL2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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe8c63c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JJ59ofL/yRZwQQoi6ihe48+fPr/S11RZxXV1drFu3Dl5eXigpKcGECRPQvn17hIaGQqFQ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\nj4/nHUOFo6NjpZ+Cb968iYKCAg6pSEWSb04xNDS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/Ne5H4kVFRRAEAbdu3UJqaipSU1Oh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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe8222320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10].plot(kind='bar', x='Major', y='ShareWomen')\n",
    "recent_grads[163:].plot(kind='bar', x='Major', y='ShareWomen')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The best engineering domain for Women seems to be Astronomy Engineering followed by Actuarial Scienc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe2ea86a0>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DTk6OOJ2bmwuZTNakNz969Cj27NmDpKQklJWVobi4GEFBQdi8eXO9y9cs7oQQQjTVPuiN\niIhocFmtp2V8fX2RkZGB7OxslJeXIyEhodFWLzWPzleuXImcnBxkZWUhISEBo0ePbrCwE0IIaTla\nj9xNTU0RExMDf39/qNVqBAcHw9XVFXFxcRAEASEhIVCpVPDx8UFxcTFMTEwQHR2NCxcuoF27djw+\nAyGEkFoEpu1EOCeCIGg9J0+IFAmCgEOHmvceo0aBtn/ytzVWN+kOVUIIMUJU3AkhxAhRcSeEECNE\nxZ0QQowQFXdCCDFCVNwJIcQIUXEnhBAjRMWdEEKMEBV3QggxQlTcCSHECFFxJ4QQI0TFnRBCjBAV\nd0IIMUJU3AkhxAhRcSeEECNExZ0QQoxQk4p7cnIyXFxc4OzsjMjIyDrzL168iKFDh6J169aIiooS\nn8/NzcXo0aPh7u4ODw8PrFmzpuWSE0IIaZDWYfbUajVCQ0Nx4MAB9OjRA76+vpg4cSJcXFzEZbp0\n6YK1a9di9+7dmm9uZoaoqCh4enqipKQE3t7e8Pf313gtIYSQlqf1yD01NRVOTk5wcHCAubk5AgMD\nkZiYqLGMlZUVvL29YWam+bfCxsYGnp6eAIB27drB1dUVSqWyBeMTQgipj9birlQqYWdnJ07b2to+\nUoG+evUqzpw5g0GDBv3t1xJCCPl7tJ6WaQklJSWYPHkyoqOj0a5duwaXCw8PFx/7+fnBz89P9+EI\nIcRAKBQKKBSKJi2rtbjLZDLk5OSI07m5uZDJZE0OU1lZicmTJ2PWrFmYOHFio8vWLO6EEEI01T7o\njYiIaHBZradlfH19kZGRgezsbJSXlyMhIQEBAQENLs8Y05h+6aWX4ObmhgULFjQhOiGEkJYgsNrV\nuB7JyclYsGAB1Go1goODsXjxYsTFxUEQBISEhEClUsHHxwfFxcUwMTFBu3btcOHCBZw9exYjRoyA\nh4cHBEGAIAhYuXIlxo4dWzeIINT5wyA1NrY2UClVzXoPa5k1bubebKFERAoEQcChQ817j1Gj6h4Y\nEaJNY3WzScWdB0Mo7oIgAOHNfJNw2omNDRV3oi+N1U26Q5UQQowQFXdCCDFCVNwJIcQIUXEnhBAj\nRMWdEEKMEBV3QggxQlTcCSHECFFxJ4QQI0TFnRBCjBAVd0IIMUJU3AkhxAhRcSeEECNExZ0QQowQ\nFXdCCDFCVNwJIcQINam4Jycnw8XFBc7OzoiMjKwz/+LFixg6dChat26NqKiov/VaQgghLU9rcVer\n1QgNDcX+/fuRlpYGuVyO9PR0jWW6dOmCtWvXIiws7G+/lhBCSMvTWtxTU1Ph5OQEBwcHmJubIzAw\nEImJiRrLWFlZwdvbG2ZmZn/7tYQQQlqe1uKuVCphZ2cnTtva2kKpVDbpzZvzWkIIIY+OLqgSQogR\nMtO2gEwmQ05Ojjidm5sLmUzWpDf/u68NDw8XH/v5+cHPz69J6yGEkMeBQqGAQqFo0rJai7uvry8y\nMjKQnZ2N7t27IyEhAXK5vMHla47E/XdfW7O4E0II0VT7oDciIqLBZbUWd1NTU8TExMDf3x9qtRrB\nwcFwdXVFXFwcBEFASEgIVCoVfHx8UFxcDBMTE0RHR+PChQto165dva8lhBCiWwKreaitR4IgQCJR\nGiQIAhDezDcJh+Q/J/l7BEHAoUPNe49Ro2i7IH9fY3WTLqgSQogRouJOiJGwsbGBIAjN+rGxsdH3\nxyAthIo7IUZCpVJJ4j2INFBxJ4QQI0TFnRBCjBAVd0IIMUJU3AkhxAhRcSeEECNExZ0QQowQFXdC\nCDFCVNwJIcQIUXEnhBAjRMWdEEKMEBV3QggxQlTcCSHECFFxJ4QQI9Sk4p6cnAwXFxc4OzsjMjKy\n3mXeeOMNODk5wdPTE2fOnBGf/+STT+Du7o7+/ftj5syZKC8vb5nkhBBCGqS1uKvVaoSGhmL//v1I\nS0uDXC5Henq6xjL79u1DZmYmLl++jLi4OMybNw8AkJ2djfXr1+P06dM4d+4cKisrkZCQoJtPQggh\nRKS1uKempsLJyQkODg4wNzdHYGAgEhMTNZZJTExEUFAQAGDQoEEoLCyESqVChw4d8MQTT6C0tBSV\nlZW4d+8eevTooZtPQgghRKS1uCuVStjZ2YnTtra2UCqVjS4jk8mgVCrRqVMnLFq0CPb29pDJZLC0\ntMRTTz3VgvEJIYTUx0yXb56VlYXVq1cjOzsbHTt2xOTJkxEfH48ZM2bUu3x4eLj42M/PD35+frqM\nRwghBkWhUEChUDRpWa3FXSaTIScnR5zOzc2FTCars8y1a9fqLPPbb79h2LBh6Ny5MwBg0qRJ+OOP\nP5pU3AkhhGiqfdAbERHR4LJaT8v4+voiIyMD2dnZKC8vR0JCAgICAjSWCQgIwObNmwEAKSkpsLS0\nhLW1Nfr27YuUlBTcv38fjDEcOHAArq6uj/ixCCGENJXWI3dTU1PExMTA398farUawcHBcHV1RVxc\nHARBQEhICMaNG4ekpCT06dMHFhYW2LhxIwBgwIABCAoKgre3N0xNTTFw4ECEhITo/EMRQsjjTmCM\nMX2HAABBECCRKA0SBAEIb+abhEPyn5P8PYIg4NCh5r3HqFHN3y4EQWheiP+i7dNwNFY36Q5VQggx\nQlTcCSHECFFxJ4QQI0TFnRBCjBAVd0IIMUJU3AkhxAhRcSeEECNExZ0QQowQFXdCCDFCVNwJIcQI\nUXEnhBAjRMWdEEKMEBV3QggxQlTcCSHECFFxJ4QQI0TFnRBCjFCTintycjJcXFzg7OyMyMjIepd5\n44034OTkBE9PT5w5c0Z8vrCwEFOmTIGrqyvc3d1x7NixlklOCCGkQVqLu1qtRmhoKPbv34+0tDTI\n5XKkp6drLLNv3z5kZmbi8uXLiIuLw7x588R5CxYswLhx4/DXX3/h7NmzNIYqIYRwoLW4p6amwsnJ\nCQ4ODjA3N0dgYCASExM1lklMTERQUBAAYNCgQSgsLIRKpUJRUREOHz6MOXPmAADMzMzQoUMHHXwM\nQgghNWkt7kqlEnZ2duK0ra0tlEplo8vIZDIolUpcuXIFVlZWmDNnDry8vBASEoKysrIWjE8ed/Y2\n9hAEoVk/9jb2+v4YhLQ4M12+eWVlJU6dOoXY2Fj4+Phg4cKF+PTTTxEREVHv8uHh4eJjPz8/+Pn5\n6TIeMQLXVNdwCM0bnXqUalQLpSFEtxQKBRQKRZOW1VrcZTIZcnJyxOnc3FzIZLI6y1y7dq3eZezs\n7ODj4wMAmDx5coMXZAHN4k4IIYbMxtYGKqWqWe9hLbPGzdyb4nTtg96GDpSBJhR3X19fZGRkIDs7\nG927d0dCQgLkcrnGMgEBAYiNjcW0adOQkpICS0tLWFtbA6gq7pcuXYKzszMOHDgANze3v/v5CCHE\n4KiUKiC8me8R/uh/HLQWd1NTU8TExMDf3x9qtRrBwcFwdXVFXFwcBEFASEgIxo0bh6SkJPTp0wcW\nFhbYuHGj+Po1a9Zg5syZqKioQK9evTTmEUKILtjYOEKlym7We1hbO+DmzastE0gPBMYY03cIABAE\nARKJ0iBBEJr9lxjhkPznNCSCIDT/nDtGNet3IggCDjUvAkaNav52IQhC80L8lzFsn1XfRXM/R/Nq\nEo960VjdpDtUCSHECFFxJ4QQI0TFnRBCjBAVd0IIMUJU3AkhxAhRcSeEECNExZ0QQowQFXfySGzs\nm99hl409ddhFiK7otOMwYrxU166huXfuqEZRh12E6AoduRNCiBGi4k4IIUaIijshhBghKu6EEGKE\nqLgTQogRouJOCCFGiIo7IYQYoSYV9+TkZLi4uMDZ2bnBMVDfeOMNODk5wdPTE2fOnNGYp1ar4eXl\nhYCAgOYnJoQQopXW4q5WqxEaGor9+/cjLS0Ncrkc6enpGsvs27cPmZmZuHz5MuLi4jBv3jyN+dHR\n0TR2KiGEcKS1uKempsLJyQkODg4wNzdHYGAgEhMTNZZJTExEUFAQAGDQoEEoLCyESlU1sGtubi6S\nkpLw8ssv6yA+IYSQ+mgt7kqlEnZ2duK0ra0tlEplo8vIZDJxmTfffBOrVq1qsfEdCSGEaKfTvmX2\n7t0La2treHp6QqFQaB1sNjw8XHzs5+cHPz8/XcYjhBCDolAooFAomrSs1uIuk8mQk5MjTufm5kIm\nk9VZ5tq1a3WW+f7777Fnzx4kJSWhrKwMxcXFCAoKwubNm+tdV83iTgghRFPtg96IiIgGl9V6WsbX\n1xcZGRnIzs5GeXk5EhIS6rR6CQgIEAt2SkoKLC0tYW1tjZUrVyInJwdZWVlISEjA6NGjGyzshBBC\nWo7WI3dTU1PExMTA398farUawcHBcHV1RVxcHARBQEhICMaNG4ekpCT06dMHFhYW2LhxI4/shBBC\nGtCkc+5jx47FxYsXNZ6bO3euxnRMTEyj7zFy5EiMHDnyb8YjhBDyKOgOVUIIMUJU3AkhxAhRcSeE\nECNExZ0QQowQFXdCCDFCVNwJIcQIUXEnhBAjRMWdEEKMEBV3QggxQlTcCSHECFFxJ4QQI0TFnRBC\njBAVd0IIMUJU3AkhxAhRcSeEECNExd0AOdrYQBCEZv042tjo+2MQQnSoScU9OTkZLi4ucHZ2RmRk\nZL3LvPHGG3BycoKnpyfOnDkDoGos1dGjR8Pd3R0eHh5Ys2ZNyyV/jGWrVGBAs36yVSr+wQkh3Ggt\n7mq1GqGhodi/fz/S0tIgl8uRnp6uscy+ffuQmZmJy5cvIy4uDvPmzQMAmJmZISoqCmlpafjPf/6D\n2NjYOq8lhBDS8rQW99TUVDg5OcHBwQHm5uYIDAxEYmKixjKJiYkICgoCAAwaNAiFhYVQqVSwsbGB\np6cnAKBdu3ZwdXWFUqnUwccghEiBjY1js08Z2tg46vtjGAWtxV2pVMLOzk6ctrW1rVOgay8jk8nq\nLHP16lWcOXMGgwYNam5mQohEqVTZaN4JQ/bf9yDN1aQBspurpKQEkydPRnR0NNq1a9fgcuHh4eJj\nPz8/+Pn56T4cIYQYCIVCAYVC0aRltRZ3mUyGnJwccTo3NxcymazOMteuXat3mcrKSkyePBmzZs3C\nxIkTG11XzeJOCCFEU+2D3oiIiAaX1XpaxtfXFxkZGcjOzkZ5eTkSEhIQEBCgsUxAQAA2b94MAEhJ\nSYGlpSWsra0BAC+99BLc3NywYMGCR/ksIjqXRwghTaf1yN3U1BQxMTHw9/eHWq1GcHAwXF1dERcX\nB0EQEBISgnHjxiEpKQl9+vSBhYUFNm3aBAA4evQotm3bBg8PDwwcOBCCIGDlypUYO3bs3w76v3N5\nj06lEpr1ekIIMRRNOuc+duxYXLx4UeO5uXPnakzHxMTUed2wYcPw8OHDZsQjhBDyKOgOVUIIMUJU\n3AkhxAhRcSeEECNExZ0QQowQFXdCCDFCVNwJIcQIUXEnhBAjRMWdEEKMEBV3QggxQlTcCSHECFFx\nJ4QQI0TFnRBCjBAVd0IIMUJU3AkhxAhRcSeEECPUpOKenJwMFxcXODs7IzIyst5l3njjDTg5OcHT\n0xNnzpz5W68lhBDSsrQWd7VajdDQUOzfvx9paWmQy+VIT0/XWGbfvn3IzMzE5cuXERcXh3nz5jX5\ntS1HoaP3/Zuu6DuAZL4JoMYfeb1FgP4zAJL4KiREoe8AkEYG6LReaC3uqampcHJygoODA8zNzREY\nGIjExESNZRITExEUFAQAGDRoEAoLC6FSqZr02paj0NH7/k1X9R1AMt+EJCoaFXcpUug7AKSRATqt\nF1qLu1KphJ2dnThta2sLpVLZpGWa8lpCCCEtTycXVBlr3kDWhBBCmkfrANkymQw5OTnidG5uLmQy\nWZ1lrl27VmeZ8vJyra+tSRAELWm0zY/QMr8p69AivAnL/KbjDGiJb6IFcowapX2Zb7/VbQYAo9B4\njm/ReIaWyNECX0WLfBctofk5mvL6xrfQlvkuHu96obW4+/r6IiMjA9nZ2ejevTsSEhIgl8s1lgkI\nCEBsbCymTZuGlJQUWFpawtraGlZWVlpfW42O9gkhpOVoLe6mpqaIiYmBv78/1Go1goOD4erqiri4\nOAiCgJCQEIwbNw5JSUno06cPLCwssHHjxkZfSwghRLcERofMhBBidOgOVUIIMUJU3AkhxAgZXHF/\n+PAhSkp2wSmIAAAgAElEQVRKxOmUlBT8/vvv+P3331FcXMwtR1paGvbs2SNOv/nmm3jppZfw0ksv\n4dSpU1wy5Obm4siRI+J0VFQUli1bhmXLliEjI4NLBgAoKirC5cuXxekdO3Zg8+bN2Lx5M1QqFZcM\nGzZswKpVq8RpmUyGDh06oH379li3bh2XDEDVDX2xsbHi9KBBg9CrVy/06tUL33//PZcMW7duFR8f\nPXpUY15MTAyXDACwfv16cbtgjGHOnDno0KED+vfvz20fkcK2CehpX2UGZtGiRSwyMlKcdnR0ZBMm\nTGBPPfUUe+edd7jlmDBhAjt69Kg47erqyr7//nu2efNmNnHiRC4ZAgMD2Y8//ihOOzs7s88//5wt\nW7aMzZgxg0sGxhh75ZVX2MaNG8Xp3r17s9DQUBYcHMzmzp3LJYOPjw+7ffu2OO3p6ckYY6ysrIyN\nGDGCSwbGGBs6dCjLyckRpwcMGMBu377NsrOz2ejRo7lkGDhwYL2P65vWJXd3d1ZeXs4YY2zbtm3M\ny8uL3b59m/3yyy9s+PDhXDJIYdtkTD/7qsEVd09PT1ZRUaExzRhjarWaDRs2jFsOb29vjelBgwaJ\nj3nlqL2jVn8XjDFuO0/1etVqdb05eH0XtX8fH3/8sfjY19eXSwbGqv7I1DR//nzxcc1tRJdqfv81\nH9c3rUsDBgwQH0+fPp19+eWX4jSvPzJS2DYZ08++anCnZdRqNczM/teCs7qnSUEQNE7X6FrtU0Ap\nKSni41u3bnHJcP/+fY3pAwcOiI9v377NJQMAVFZWatxosWXLFvHx3bt3uWSovZ73338fQNX2wvO7\nKCgo0JiueRokLy+PS4aav4vaN8DwvFHKxMQEN27cwP3793HgwAE89dRT4ryysjIuGaSwbQL62VcN\nrriXl5drFFZ/f38AQGFhYZ0vUJd69OiBY8eO1Xk+JSUFPXr04JKhffv2uHTpkjjduXNnAEB6ejra\nt2/PJQNQtRPfvHlTnO7Xrx+Aqj6HTEz4bGL+/v744IMP6jz/0UcfidsID4MGDcL69evrPB8XF4d/\n/OMfXDKkp6ejf//+8PDwEB9XT1+8eJFLBgBYtmwZfHx84OjoiICAALi7uwMAfvvtN/Tq1YtLBils\nm4Ce9lWd/D+gQ1988QV75plnWHZ2tvjc1atX2TPPPMNWrVrFLcexY8eYo6MjCw8PZ3v27GF79uxh\nS5cuZY6OjuzYsWNcMuzbt485OTmxTZs2sXPnzrFz586xjRs3MicnJ5aUlMQlA2OMbdmyhfn4+LDf\nfvuNFRUVsaKiIqZQKJiPjw/bvHkzlwwlJSUsMDCQ9e7dm02aNIlNmjSJ9e7dm02bNo0VFxdzycAY\nYyqVig0ZMoT5+fmxt956i7311lts5MiRbPDgwezmzZtcMly9erXRH54qKipYfn6+xnOlpaXcfidS\n2DYZ08++apA3Ma1btw4rV65EaWkpGGNo3749Fi9ejFdffZVrDpVKhdjYWKSlpQEA3N3dMX/+fFhb\nW3PLcP78eXz22Wdihn79+iEsLEw8QuElOTkZK1eu1MixePFiPPPMM1xzZGVliRnc3NzQu3dvruuv\ndvDgQY3tYvTo0dzWnZGRAZVKhWHDhmk8f/ToUdjY2HD7TrZu3QrGGGbNmqXx/JYtW2BqaooZM2Zw\nySGVbZP3vmqQxb1a9ekZnqcgiDTV7KCuPvb29pyS6N+ECRPwySefwMPDQ+P5P//8E++//z5+/PFH\nLjkGDRqEAwcOoF27dhrPl5aWYsSIETh58iSXHI8rrX3LSM3mzZsbnV89aIiujRo1qsGLU4IgaFww\n0ZU5c+Y0mmHDhg06zwBUnVttiCAI+PDDD3WeYfz48RAEQaMDOkEQkJeXh1u3buHhw4c6zwBUHWjU\n9zuprKxEeXk5KisrdZ5BpVLVKewA4OHhgatXr+p8/dUqKirqFHYAsLCwQEVFBZcMUtg2Af3sqwZX\n3I8fP17v83v27IFSqeRW3D///PM6z6WkpOCzzz5Dt27duGSYMGFCneeuXbuG1atXcytmQNXOWltp\naSk2bNiAO3fucNmB/vzzT43pq1evIjIyEr/++qvYcoaH2q2oSkpKEBsbi7i4ODz//PNcMjTWCoRX\nK5XqdZWWltbZPoqLi1FeXs4lgxS2TUBP+6pOzuRzolar2ZYtW1i/fv3Y1KlT2dmzZ/WSQ6FQsDFj\nxrBhw4ZxvZBZU2ZmJgsODmZOTk7sq6++Yg8ePNBLjqKiIrZ8+XLm6OjI3nnnHaZSqbiu/9KlS2z2\n7NnMxcWFrV+/XryJhreCggK2dOlS1rNnT7ZkyRKNG6x0LTAwkP373/+u8/z69evZ1KlTueVYtWoV\nGzt2rMZF3CtXrrBx48axzz77jFuOavreNqvx2lcNsrhXVFSw9evXs759+7LZs2ez9PR0veRITk5m\nw4cPZ2PGjGEHDx7US4a//vqLzZw5k7m5ubGNGzdq3ODF0507d9iSJUuYo6MjW7p0aZ0WErr2559/\nssDAQObh4cG2bNnCKisrua6/Wl5eHlu8eDHr2bMnW758Obt79y73DDdv3mRDhgxhI0eOFFvsjBgx\ngg0ePJjduHGDa5Z//etfzN7ennXu3Jl16tSJ2dvbs6+++oprBn1vm9V476sGd0E1NjYW0dHRGDNm\nDN599104OjrqJYevry/y8vIQFhaGIUOG1Jnv5eWl8wxTpkzByZMnsWjRIkydOhWmpqYa86vb0upa\nWFgYdu3ahZCQEMyfP7/e86y6ZmpqCjs7O4wfP77O9wAAa9as4ZLDwsICXbt2xZw5c+q90P/WW29x\nyQEAhw4dwvnz5wHwb7FTm74aP0hh2wT0s68aXHE3MTFBt27d0LVrV40LFIwxCIKAc+fOccnh5+fX\n6AWSgwcP6jyDo6OjmKG+i4lZWVk6zwBU/U5atWoFMzOzen8nRUVFOs+wadOmRu++nD17ts4zAEB4\neHijOZYuXcolhxRERUU1Op/HHzopbJuAfvZVgyvu2dnZjc53cHDglIQQaZJCix0AiIhofIzSx+kP\nnT4YXHGXil27djU6f9KkSTrPoK3bVB6nhgAgPz+/0fk8Tg89++yzjR4x1+yeWZfeeOONRufzOj1U\nU+0WO1988QX3DPoihW0T0M++anBNIRs6KuH9b1ZjN4IIgsCluC9atKjRDDxODQGAt7d3nX81a+bg\ncXro7bff1vk6msLb21vfEUR3797Fl19+ic2bN2PGjBk4fvw4unTpwm3969evh5+fH5ycnMAYQ3Bw\nMHbu3AkHBwd8++23GDhwoM4zSGHbBPSzr9KROzF6qamp3Drtakxubi5sbW11vp7bt2/jiy++wHff\nfYeXXnoJr7/+Ojp27Kjz9dbWr18/nD59Gubm5oiPj8cXX3yBn3/+GadPn0ZERAQOHz7MPdPjxOB6\nhWxIaWmp2P0vT3l5eRpHBfHx8dz7daktJSWFe78Z9bl27Rq3/n4YY9i1axdWrVqFpKQkAMDJkyfh\n7++PuXPncslQ7dSpU9ixY4fYh0hubi5CQkLq9PWiKw4ODpDL5Zg9ezbatm2LDRs2ICoqSvzhxczM\nDObm5gCAn376CUFBQejSpQueeuoplJaWcstRH57bZmN0ua8aXHG/ceMGXn/9dYwfPx7vvPMOSkpK\nsHr1avTt2xfXr1/nlmPXrl2wsrJC//79YWdnhz179sDLy0scxouHw4cPw8PDAxYWFvjHP/6BkydP\nYuLEiZg/fz5eeeUVLhkA4K+//sKzzz4Ld3d3TJ06Fbm5uViwYAGGDx8OZ2dnLhlCQkIQGxuL/Px8\nrFixAi+88AJmz56N1157DadPn+aSAQA++OADzJw5E7t27cLEiROxaNEiPPnkk3B3d+fW3W5YWBjm\nzJkDoKoJYu0fXqTQn7sUtk1AT/uqTlvR68BTTz3Fli5dypKTk9nChQuZo6MjCwwM5H5zhoeHB7t8\n+TJjjLGTJ08yMzMzjWG0ePDy8mKHDh1i9+/fZz/88ANr3bo1i4mJ4ZqBMcaGDBnCNm7cyNLT09nq\n1atZp06dWFhYGCsrK+OWoV+/fuzhw4eMsaqh9Tp27Mj1rtBqbm5u4ufOz89nFhYW7MqVK9xzSMGP\nP/7IevTowaytrdnLL78sPq9QKNi4ceO4ZJDCtsmYfvZVgyvuNYfuYowxmUwm7tQ81R42y93dXe8Z\nnJ2duWdgrO7vpGfPntwz6HOs0MbWy3NYu2pTpkwRH9ceV/j//u//uOUoLCystz/3kpISbv25S2Hb\nZEw/+6rBtZZhjKGgoEA8z92lSxcUFhaK07yaNt26dUvj/OXdu3c1pnncoHH37l2NJpmVlZUa0zxa\n7ABVQ4idPn1a/B20atVKY5pHk8zqEYeAqm0kMzMT/fv3535zW1ZWFgICAsQcV65cEacBPk0yL1++\nLD7+5ZdfNK5F8RrqDwAGDhyIjz/+GIGBgRrP19eZl65IYdsE9LOvGlxrGUdHR5iYmOi9aZMUbtB4\n8cUXG71L9ptvvtF5BkAad+tK5ea23377rdH5I0eO1HkGLy8vsV11zcf1TetSdnY2Fi5ciJKSEvzr\nX/9Cnz59uKy3Jilsm4B+9lWDK+6E1Cc9PR0uLi4AgAcPHqBVq1bivJSUFAwePJhLjqKiInTo0KHe\neTk5OVwGDXFxcYFcLodarcY///lPxMfHg1WdgsU///lP/PXXXzrPUNO+ffvw4osvwtfXV2PcUl43\nlj22dH7ip4Vt2bJFfHzkyBGNeWvXruWWQwrnNRcsWCA+/vLLLzXmzZ49m0sGxhiLjIwUH2/fvl1j\n3nvvvcclQ81zmvo8/15zXaNHj9ZLjpEjRzI/P78Gf3hKT09no0ePZi+88AI7ePAgUygU4g8PUtg2\nGdPPvmpwxV0qO3HNC2X6uogmle9CCjlqfue1v3+eFzWlkkMK3n33Xebi4qK3MQ4Yk8a2qa8cBnlB\ntb7H9U3rUmP9mDQ2ryU19l3wJIXfSc3vvPb3z+v3IZUcUuj3CKi6ien06dNo3bo1l/XVRwrbprYc\numJwxV0KOw8A3Lt3D6dPn4ZarUZZWZl4BZ4xxu0GDbVajYKCAqjVavFx9YbDc5g9KfxOcnNz8cYb\nb4AxJj4GqnYkpVLJJQPwv1ZUjDGNFlWMMW4tVaTQ7xFQ1Vqm+m7h+vDIIYVtE9DPvmpwF1Tbtm2L\nPn36iM3dqq/AM8aQlZXF7bbmxq7CA1UDJeiaVFoOmZqawsLCQvzD1rZtWwBVv5P79+9zGQz522+/\nbXQ+r/7cpdCKSiqq75IFqv7gPPvss+I0r9ZcUtg2Af3sqwZX3KXS5I0YjsrKSpiZGdw/qY8sKioK\nHTt2RHBwsMbzGzZsQHFxMRYuXMg908CBA7l2A0EMsG+ZsrIyODg4wMHBATY2NuJjBwcH3Lhxg1uO\nzz77THy8Y8cOjXnvv/8+lwxbt24VHx89elRjXkxMDJcMADTaCl+5ckVjnrbzvy1l+PDh4uNZs2Zp\nzOPZI+TUqVPFx++++67GPH9/fy4Ztm3bhqCgoDrPz5o1i9u9D7XxPAVSkxS2TUBP+6pOLtPq0ON8\n9VuKGaSSQwqtl6SSo3///g3O69evH5cMtUmhO4jHbR8xuP9VmQFc/eaVQwoZpJJDCq2XpJJDrVZD\npVLB2tpa43mVSsVl/dWqR8di/70eVrMbBoDPTUxS2Db1lcPgirtUrn5LIYcUMkglx927d/HDDz9A\nrVZr9OPBGENhYSGXDIA0WlGFhYVh/Pjx+OKLL8S+U06ePImwsDCuI1bVXJe+RsqSwraprxwGd0G1\nW7duCAwMBGMM3333ndgpEWMM27dv53Z0IoWr8FJpOWRpaYkRI0aAMYbDhw9jxIgRYo4jR46goKBA\n5xlqtsyoz8aNG3WeAZBGKyqg6pb/Tz/9FOfPnwdQNSrS4sWLuQ/icubMGWRkZMDd3R2urq5c1w1I\nY9sE9LOvGlxxl0qTNymQSsshKXSWRaRn2bJl2Lp1K7y9vXHs2DG89957XAeRAaSzbepjXzW44k5I\nfRob/UoQhDotaHTl999/b3R+9ZGjLtUcmBoAXnrpJXFg6k2bNnHr5tbd3R3Hjx9H27ZtcefOHYwd\nOxbHjx/nsm5igOfc58yZ02jXmRs2bOCSo3379nVGVRcEAZWVlSgvL0dlZaXOM/Ts2VPju2D/7bu8\nOktmZqbOMwDAqFGjGv2dHDhwQOcZGioae/bsgVKp5FbcV61aVee56v7kr127xuXO4ejoaLz44osA\nqsb0PXv2LLKysnD69GksWLCA28DUrVq1Ek9XdunSBWq1mst6a5LCtgnoZ181uOI+YcKEOs9du3YN\nq1ev5nrLfe2xKEtKShAbG4u4uDg8//zzXDKcOHFCY1qtVmP79u34/PPPMXDgQC4ZAODzzz+v81xK\nSgo+++wzdOvWjUuGtWvXio8ZY9i2bRsiIyMxePBgLFmyhEsGoO6t/0ePHsWKFStgY2OjkVGXGhuY\n+p133uGSAag7cElmZib3gUuksG0CetpXddLAkpPMzEwWHBzMnJyc2FdffcUePHjAPUNBQQFbunQp\n69mzJ1uyZIlexu18+PAh27RpE3N3d2czZ85kaWlp3DNUUygUbMyYMWzYsGHcewOsqKhg69evZ337\n9mWzZ89m6enpXNdf06+//ip2vfvzzz9zXffAgQPZ9evXWVlZGevWrRs7f/68OM/FxYVbjprd+9b3\nw5s+t81qPPdVgyzuf/31F5s5cyZzc3NjGzduZBUVFdwz5OXlscWLF7OePXuy5cuXs7t373LPUF5e\nztatW8f69u3LgoODxQG79SE5OZkNHz6cjRkzhh08eJD7+mNiYpiTkxObN2+eXgek/umnn9iQIUPY\n2LFj2eHDh/WSQQoDU9dUVlbG/vzzT/bnn39yH5iaMf1vm4zpZ181uAuqU6ZMwcmTJ7Fo0SJMnToV\npqamGvN5jaFqYWGBrl27Ys6cOWjfvn2d+TzGULW1tYWZmRkWLlxY7wg/vHr/8/X1RV5eHsLCwjBk\nyJA683lcwDMxMUG3bt3QtWvXes9t8hpD1cTEBLa2thgwYEC953p5jT5UWVmJ4uJidOrUSXyutLQU\njDG0a9eOW4b3338f33zzDRwcHMAYw7Vr1zBnzhx8/PHH4qkjXZLCtgnoZ181uOLu6OiocSGC1bqg\nyasnxPDw8EbbM9MYqv/LQWOo/s/j1Cz0zTffRHFxMVavXi0eABUVFeHtt99GmzZtEB0drfMMUtg2\nARpDlRBiRJycnHDp0qU6Re3hw4dwcXHB5cuX9ZTs8WBwrWW0jdzO69+s6sEgGrJmzRqdZ6geCKIh\nPE4NAdIY+ae6aWpt1adlioqKdJ4BADw8PBr9j47X6aGGXL9+HT169OCyLkEQ6v0uTE1NH7tRqfSx\nrxpccV+0aFGD83j+m+Xt7c1lPY2p3RxTX6Qw8o9UvouffvpJ3xEaNXjwYOTk5HBZl5ubGzZv3lyn\n++GtW7fCxcWFSwYpbJuAfrZPOi1DjJJSqRTve+jRo8djNVhHY+zs7HDt2jUu61IqlZg0aRLatGkj\nHgydOHECZWVl+OGHHyCTybjkeFwZXHEvKiqCSqUSb63esWOH2Nve008/XaebU105cuQIsrKyxKOS\nyZMnIz8/HwDwwQcfYPTo0TrPkJaWpnFjyJtvvin2gBgaGsrtFFVubi6uXr0qDpgRFRWFkpISAMCM\nGTPETpJ06ZNPPkFFRQU++ugjAIC9vT06duyIiooKzJ49G++9957OMwBVox3l5+cjLCwMACCTyVBc\nXAzGGFatWoV58+ZxydEQe3t7bkfu1Q4ePIi0tDQAVUfzY8aM4bZuKWybgH72VYMr7iEhIRg6dKh4\ne3WfPn3wzDPPoKysDGZmZli3bh2XHGPGjMHatWvh5uYGoOpc66ZNm1BaWoqVK1ciOTlZ5xmeffZZ\nvPfeexg6dCiAqh1n+fLluHfvHnbu3Indu3frPAMATJ8+HTNnzhTvHu7bty9CQkJw7949pKenY9u2\nbTrP4OXlhcOHD8PCwgLA/4Z1e/jwIUaOHIkjR47oPANQ1fQuOTkZXbp00chx//59PP3001pb07SE\n119/vcHrD99++y236w8NKS0tRUxMTJ2RqnRBCtsmoJ991eD+Vz1+/Dji4uLE6fbt24u3ddccak3X\nioqKxMIOVLUMqP7Xk9dR4o0bN8SNBQA6dOiAF154AQA0viNdu3jxoka3EG3bthWvjTz55JPcclQX\ndgBYsGABgKqLd7z6UQeqCmh1YQeq7ssAgNatW3PL4ePj80jzWtqNGzewcuVKZGVlwd3dHR999BHW\nr1+PL774QtxOdU0q26Y+9lWDK+6VlZUaRyVbtmwRH9+9e5dbjtrrqnlVnlef8rUv0qSkpIiPb926\nxSUDANy/f19jumZnTLdv3+aSoaSkBBUVFeKNMdX/2T148IDrkWrt7aJ6PF21Ws3tu2io2+v79+83\neoGxpQUFBWHYsGGYMGECkpOT4eHhgcGDB+PEiROwsbHhkkEK2yagn33V4AbINjExwc2bN8Xpfv36\nAai6eGNiwu/juLi4YO/evXWe/+mnn9C3b18uGXr06IFjx47VeT4lJYVbczeg6r+nS5cuidPVdwmn\np6fXe/euLkyePBlz587FvXv3xOdKS0sxb948TJ48mUsGoGoQ7A8++KDO8x999BG3AbJrevjwIZKS\nkjBr1iw4ODjgu+++47buvLw8hIeH4+mnn8bq1atRUVGBbdu2cSvsgDS2TUBP+6rOOzhoYVu2bGE+\nPj7st99+Y0VFRayoqIgpFArm4+PDNm/ezC3H5cuXmbOzM3vxxRfZmjVr2Jo1a9js2bOZk5MTu3jx\nIpcMx44dY46Ojiw8PJzt2bOH7dmzhy1dupQ5OjqyY8eOccnAGGP79u1jTk5ObNOmTezcuXPs3Llz\nbOPGjczJyYlbB02VlZXs3XffZV26dGFeXl5s4MCBzMrKir377rtc+x4qKSlhgYGBrHfv3mzSpEls\n0qRJrHfv3mzatGmsuLiYWw6FQsFCQkKYnZ0de+GFF5i1tTUrLS3ltn7Gqgbqzs/PZ3fu3GF37typ\nM82DFLZNxvSzrxrcBVUASE5OxsqVK8Ur8PoaQuzBgwfYtm2bmMPd3R0zZsxA69atuWVQqVSIjY3V\nyDB//nxurYaqnT9/Hp999pnG7yQsLEz8z4qXsrIyZGRkAKi62N6mTRuu66+WlZWl0UKkd+/e3NZt\na2sLNzc3BAcHY8KECbCwsEDPnj1x5coVbhmAqq5CTExM6h0AmmdXIVLZNnnvqwZZ3AmpTQojIAHQ\n2sywvk6jWtrChQvx448/YsCAAZg2bRqeffZZ9OvXj1sxrZadnc2tTx9Sl8EV92XLljU4TxAEfPjh\nh1xy1B5ZpXYOHqMgSWWUGSmMjvXss8/Wu26eIyAB/+t+gNXq0C4vLw+3bt3iloMxBoVCAblcjqSk\nJBQWFmLDhg0YN24ct14hvby8tHYXomtS2DYB/eyrBtdapmZzt2qlpaXYsGED7ty5w624S2EUJKmM\nMiOF0bGkMAISAPz5558a01evXkVkZCR+/fVXseUMD4IgYNSoURg1ahQqKiqQnJyMhIQEvPbaa9xa\niUjhuFEK2yagp31VJ2fyOSkqKmLLly9njo6O7J133mEqlYp7BqmMgiSFUWYY0//oWPocAammS5cu\nsdmzZzMXFxe2fv16Vl5errcsNd27d4/burp27cpef/31Bn940/e2WY3XvmpwR+4AkJ+fj6ioKGzb\ntg2zZ8/GqVOnNAYl4KGiogLffPMNVq9ejeHDh2P37t3cbmWuaf/+/VixYgVatWqFJUuWYNSoUdwz\nAFVNy1asWIHTp08jLCwM69at49qfy969e/Hxxx+jY8eOWLFiBdcb2mo6f/48Pv74Y6SlpeGdd97B\nhg0b6gwoo2tS6ZmyZp8y+qTvbbMa733V4M65h4WFYdeuXQgJCcH8+fO5nT+sTQqjIElllBkpjI4l\nlRGQTE1NYWdnh/Hjx9db1Hl0BS2VgUukcM5dCtsmoJ991eCKu4mJCVq1agUzM7N6h1PjdTeiFEZB\nksooM7VHxwL+d76VV5M3qYyAtGnTpkaPmhu6e5SX7777DtOmTeOyrsGDB2vciakPUtg2Af3sqwZX\n3AmpT1FRETp06FDvvJycHC5NELWprKzkcjqgtLQUcXFxyMzMhLu7O+bNm4fExEQsWbIETk5OSExM\n1HkGoOpicqdOndCxY0cAwKFDh7B79244ODggNDQUTzzxBJccjyuD636g5l+42jdlaBt1pSUtXLhQ\nfFx7LMjqfk107bPPPhMf79ixQ2Mez5YZW7duFR8fPXpUY15MTAyXDH5+fuLj2l3KPvfcc1wyAJqd\n182aNUtj3j/+8Q8uGYKCgnDu3Dn0798fBw8exJAhQ/Dll18iPj6eW2EHgGnTpqG0tBQAcObMGUyZ\nMgX29vY4e/YsXnvtNS4ZpLBtAnraV3V2qVZHBg4cWO/j+qaNPYcUMkglh6enZ72P65vmlaP2Z+eV\nw8PDQ3xcWVnJunbtysrKyrisu6EcixYtYmFhYYyxqhZmNefpkhS2TX3lMLgjd1bjLBKrdUap9rS+\nckghg1S+C145ap7PrH1uk9d4ndrWxStHzVM/pqamsLW15dolRrWav/uDBw+K/1Hx7OBPCtumvnIY\nXFNIqezEarUaBQUFUKvV4uPqXxKvmyOk8l1IIcetW7cQFRUFxpj4GKjacfLy8rhkAKq6/P3hhx+g\nVqtx9+5d8VQhY0wceUfXzp49K15/YIyhrKwMHTp04N7oYPTo0Zg6dSq6d++OgoICcXSyGzducDvf\nLoVtU185DO6CqqWlJUaMGAHGGA4fPiz2GcIYw5EjR1BQUMAlhxQ6RTI1NYWFhYW4A7dt2xZA1Xdx\n//59VFRU6DwDUDUAQp8+fcAYQ2ZmptjenzGGrKws8byrLkVERDQ6f+nSpTrPAFTd7t6YjRs3cskh\nBQ271a4AACAASURBVIwxfPfdd7hx4wamTp0qjpl6+vRp5OXlcekCWQrbJqCffdXgirtUmryR/5FK\nu2rSsNLSUvzwww+Qy+X1jkPA0+HDh5GQkIDY2Fidr+tx3jYN7rQMFW/pMeYdxJCVl5dj7969iI+P\nx/79+/HCCy/obYDu06dPIz4+Hjt27EDPnj25DbP3OG+bBlfcCSGN+/nnnyGXy3HgwAGMGjUKs2fP\nxvHjx7mfErp06RLkcjkSEhLQrVs3TJkyBYwxHDp0iGuOx5XBnZYh5O/auXMntyNFKTAxMcGECRMQ\nFxeH7t27AwB69erFvT/36hyxsbGws7PTW47HlcE1hTQEUrgbctiwYdzW1VjrC22DV/Dw5ptv6jsC\nUlJSuI0UdurUKbi5uWHEiBEYO3YsvvnmG67d21bbtWsX2rZtixEjRmDevHk4ePCgJLoBrsarGwZt\ndLWvGtyRe0BAQKPzeXUQ1Rg7Oztcu3btsclQs4OoMWPGaAw8IIXOo3h+F0eOHMGrr76KrKwsuLu7\n41//+heWLVuG3NxcLFmyhEuHcjX98ccfkMvl2LlzJwYMGIDnn38eISEhXDOUlpYiMTERcrkcBw8e\nRFBQEJ5//nm9DBhek729vSQOPnS1fRrcOff//Oc/sLOzw/Tp0zFo0CBJHQlU49l+VgoZav4O8vPz\nG5ynLzy/iwULFmDt2rUYMmQI9u3bh+HDh+Pzzz/H/PnzuWWoaejQoRg6dCiio6Px66+/IiEhgXtx\nt7CwwIwZMzBjxgwUFBRgx44diIyM1HtxlwpdbZ8GV9xv3ryJX375BXK5HPHx8Rg/fjymT58Od3d3\nrjmqb5KpjTGGkpISLhka6kunui0tL1K4UaShPswZY1CpVFwyVK+vup+b5557Dvb29twLe+3/lARB\ngJWVFfz9/fVeUDt16oSQkBBuf2Aa+q+RMcbtPhBAP/uqwRV3U1NTjB07FmPHjsWDBw8gl8vh5+eH\npUuXIjQ0lFuO4uLiBuctWLCAS4baQ8vVVN/wYroihbtDf/rpJy7r0abmXalAVU+QNad5nJZZtGhR\nnefy8/NRXl6OhIQEDBgwQOcZpKK+76Kai4sLtxz62FcN7pw7ADx48AB79+6FXC7H1atXERAQgJde\nekm8A07fjh8/Dl9fX71mUKlUsLa25rIuqdwdWp8jR45ALpdzuWEGaPwOVV79/DfkxIkTeOutt/D7\n77/rLYOUVFRUwNzcXN8xdLavGlxxDwoKwvnz5zFu3DgEBgaiX79++o4EALhw4QLkcjnkcjksLS3r\nDKDNw927d7Fz507Ex8fjr7/+wvXr17lnkILaN8xMmjQJr7/+ur5jcf2D2xB9XOC+e/cuLl++DABw\ndnYW+3fXB8YYDh48iPj4ePz0009cT9nVxGNfNbjibmJiAgsLCwCa53N5d4oEVA1GUF3Qn3jiCVy9\nehUnTpyAo6MjtwxlZWVITExEfHw8zpw5g6KiIuzevRsjRozg1vvesmXLGpwnCAI+/PBDnWeo74aZ\nVatWab39XNek9AdXpVJh3LhxOHnyJJf1PXjwAHPnzsXu3bvRs2dPMMaQnZ2N559/HuvWreM6WEdK\nSgri4+Oxe/du5OfnIzY2FgEBAVzHXua9rxpccZeKIUOGoLy8HFOnTsWUKVPQq1cv9OzZs84AIro0\nY8YMpKSk4Omnn8aUKVMwcuRI9OnTh2sGAPjiiy/qPFdaWooNGzbgzp07XC4wS+mGGX3/wX399dfr\nXFzOz8/HH3/8gejoaDz77LM6zwAAH330ETIzM7Fu3Tq0b98eQNW1qvnz58PBwQHLly/XeYb3338f\nO3fuRK9evTB16lRMnDgR3t7e3PcRfeyrBndBtXZTO0EQYGlpyb35obW1Nc6fPw+VSoW8vDz06tWL\ne4YLFy6gW7ducHV1haurK0xNTfXSDLPmRavi4mJER0dj48aNCAwMbPSCVkvatWsXEhISMGLECDz9\n9NOYOnWqXpph1tyJFy5cKO7ENUeK0jUfHx+NaUEQ0KVLF0RFRaFbt27ccuzatQupqaliD4gA0L59\ne3z11VcYPHgwl+L+9ddfw8vLC6+++irGjh2LJ554Qi/7iD72VYMr7t7e3hAEQWPHLS4uhqenJ77+\n+mtup0R2796NwsJC7Nq1Cx9++CEyMjJQUFCA1NRUbsOpnTlzBunp6ZDL5Rg1ahS6du2K4uJivZzb\nzc/PR1RUFLZt24bZs2fj1KlTXP/lfe655/Dcc8+JN8ysXr0at27dwquvvsr1hhkp/ME9dOgQNm3a\nxHWd9TExMdEo7NXatWvH7Tu5ceOG2HQ6NDQUfn5+KCsr4zaebTW97KvNGcZJSnbu3Mmefvppva1f\npVKxtWvXsqFDhzJbW1u9ZDhx4gRbtGgRs7OzY0OGDOG23rfffpv16tWLffrpp6y4uJjberXJz89n\n//73v9no0aO5rvevv/5iH330Eevbty8bPnw4s7KyYjdv3uS2fp7DxzWmf//+LD8/n925c6fOT//+\n/bnnuX//Pvv+++/ZCy+8wLp168amT5/OPUM1HvuqUZ1zl8Kt7kBVf9VPPvmk3tbPag1komsmJiZo\n1aoVzMzM9HaR+/jx47h9+3ad/luSkpJgbW0Nb29vnWeoz8mTJyGXy7F9+3bY2trijz/+0Pk6XVxc\nIJfLGzwt5eXlpfMMgDQGtGlIcXExfvjhBwQFBektA6DbfdXgTss0pKSkBGq1mus6T506hczMTLi5\nucHd3R25ublYtmwZ9u/fz6WVRlhYGPr06YO5c+dqPP/vf/8bV65c4VbceX/v9Xn33Xfr7dLW3d0d\nc+bMwcGDB/WQquo0ore3N1atWoXDhw9zWadSqcSiRYsaLKq8vourV69yWU9joqKi0LFjRwQHB2s8\nv3379kZvRGxp+thXDe7Ivb7b/gsKCrBnzx6EhobilVde4ZLjgw8+wM6dO+Hp6Ynjx49j4sSJ2LVr\nFxYuXIi5c+dyGZDY29sbJ06cqHP+Uq1Wo3///jh//rzOMwB1L3LX1rlzZ51n8PX1xfHjx+ud179/\nf5w7d07nGQBg6tSp2L59O4CqPziRkZHiPH9/f/z88886zzBw4ECcPn1a5+vRRlunXDx6T/X29kZK\nSkqdm5XKy8vh4+PDbbvQx75qcEfutf/aCoIAGxsbbN26FR4eHtxy/PDDDzh9+jRat26NgoIC2NnZ\n4fz581zbuD948KDeC1MN/SusK/Vd5K7G69/vxsbOvXfvns7XX636Zh0A+OWXXzSKO8+BuqVg/Pjx\ndbYLQRCQl5eHW7ducemGuLKyst67UJ944gmu+4g+9lWDK+6N3crO8wp4q1atxKPzTp06wcnJiWth\nB4A2bdrg8uXLcHJy0nj+8uXLaNOmDbccvNsM1+epp57CkiVLsGLFCnEnYuz/27v7uJrv/3/gj5Ml\nRLaltCldCKkkhYzkYraZLiiV8tkiYWPCkKl95zI+rqYwu0AJ0zmJZK6GKZGrqZWERInQKutSKqn3\n749+nU+nTm2rzut9Tud5v912u533+z17P7XO87zO6/16PZ8cVq5ciXHjxjGLo7lVIKxWiPj7++PO\nnTswNTWVOH/nzh1oaWlBS0uLSRy3bt2SOM7KysLGjRvx22+/ISAggEkMNTU1UleksN6Zyst7VSaP\naWVo5MiR4teffPKJxDWWqwS6d+/OOTo6co6OjpyDg4PEsaOjI5MYTp06xfXp04fbu3cvl5KSwqWk\npHChoaFc3759uZMnTzKJoTmPHz/mPv/8cyb3evHiBefh4cEZGRlxLi4unIuLC9enTx9u6tSpTFfw\n9O/fn/vjjz+4hIQEzsTEhPvjjz+4xMRE8TELU6dO5eLi4hqdv3jxIi8rRNLT07np06dzJiYm3O7d\nu7lXr14xu/e+ffs4a2tr7sKFC1xJSQlXUlLCxcbGckOGDOHCwsKYxcHHe1Xh5tzrzyc2nFtkOdcY\nFxfX7HVWjbxTU1OxefNm8ZydmZkZ/Pz8mE5R3b17F8uWLRM3qNi6dSs2b96M6OhoLFq0iGknpMzM\nTNy+fRtA7c/CyMiI2b0BYOzYsU1eY/Uwc8iQIU3WNjI3N2f2LCY1NRXr1q3D7du3sWzZMnh6eqJD\nhw5M7l3f6dOnsWHDBvHf29zcHMuXL2fWGasO6/eqwiX3+ssdGy59ZLkUsqSkBBoaGlKvPX78WC5a\n7bEyYsQIzJkzR9ygYs2aNZg1axbWrFnD5MEy0HTd7jqslv815/r167CxsZH5ffr374979+7962tt\nrUOHDtDT04O9vb3UpL59+3YmcSgrhZtzLyoqwtGjR1FTUyNRO5vjOBQXFzOLY8yYMU22lps8eTKT\nDxlHR8dm53FZtRx8+fIlZsyYAaA2eWzfvh2bNm1icu86zZU5YLn8rzlubm5M2roZGxvj1KlTmDhx\nosT506dPM/0mw2d54zrS6uzUx+oDho/3qsIl99GjR4t/EKNHj5Yogs9qXTcgH63lli5dyuQ+f6ei\nogJJSUniv7eamprEMYtRc2xsrMzv0Vqsfi+Cg4Nhb2+PQ4cOiTdvJSQk4OrVq0ybmkyfPl3q+YqK\nimabV7SlhnV2+MLHe1XhpmWac+TIEUyZMoXJveRlekgeyMM8c1NtzOqwbkwtDcuGzJWVlQgPD5eY\n3502bRqzabKGqqurcebMGQiFQpw9exajRo3C4cOHeYlF3siqHlW7Su4s3zy6urpYvHgxOI5DUFAQ\nFi9eDKB2dBYcHCyTbuYNHTt2DE+ePBH36LSxsRGvpd60aRNcXV1lHsPfYdXtRkVFBZaWlrC0tASA\nRmurWU0RNPX1m/v/TSLKysqYxCEN665UQO3Cg/DwcJw+fRrDhg1DfHw8MjMzpRYUkwVvb+8mp0ME\nAgFCQkKYxMFxHI4ePYqMjAyYmZmJ6+r7+/sjPz9fJgtB2lVy19PTY5JUAfloLTdy5EiIRCJx/XJL\nS0ucP38eZWVl8Pb2lngOwFJdImPZ7SY6OhoikQgPHjzApEmT4OnpCWNjY5nftyF5WUVVJykpSVzb\nhnVXKl1dXZiamsLHxwcODg5QV1dn3vPgyJEjjc5lZ2cjKCgI1dXVePLkCZM4Zs+ejczMTAwbNgxx\ncXF45513cO/ePQQGBmLy5MmyualMFljyRE9Pj+8QmBoyZIjE8RdffCF+bWNjwzoc7urVq5yvry+n\np6fHqaurc2FhYVxBQQHTGF68eMEdPHiQc3Jy4kaOHMlduHCB6f3z8vK427dvNzp/+/ZtLi8vj0kM\n9+7d41atWsWZmJhwdnZ23I4dO7jevXszuXd9Cxcu5IyMjDhnZ2dOJBJxZWVlnKGhIfM46mRkZHA+\nPj5c3759ue+//56rrKxkdm9zc3Ouurqa4ziOKy8v57p37849f/5cpvdUuAeqAwcObPJrL8tdZ/LQ\nWq7hlvvvvvtO/JrlVveG3W5WrVoFa2vrJh+oyVKnTp3QvXt3aGho4NGjR6ioqGB6f19fX8ybN6/R\n+b/++guBgYEIDw+XeQwmJiZwcHDA2bNnxd/qpNVkkrXg4GAEBQXhwoULEAqFWLJkCYqLi3Ho0CFM\nnDgRXbt2ZRJHWloaAgMDkZSUBD8/P/z4449Ma7kDgKqqqrgLV6dOnWBkZARNTU2Z3lPhpmX+rtqi\nvr4+kzjkobXcf/7zH4wZM6ZRsbSffvpJ/IZiQVtbG1ZWVpg3b5642w3rFncxMTEQiUT4/fffMX78\neHh4ePCyUkIeNhDVTVFdv35d3JXKx8eH9zIRVVVV4oeqZ86cwfPnz2V+Tzc3NyQmJmLJkiVwd3dv\ntN6eRVE7AOjSpYt4mpDjOGRkZMDY2FhcFlsWBcwULrnXefjwoXgnoqmpKfOdiPXVtZYLCQmBu7s7\nlixZwqSdWV5eHiZPngw1NTXxcsPExERUVlYiOjqaWTem6upqcbeb2NhYjBkzBufOnUN2djazEZKK\nigosLCxga2sLgUDQ6Nsdq/XM8rKBCIC4K5VQKERMTAy8vLyYdqVqTnl5OZP6RwYGBuLfhfo1h+qO\nWQ1A+BiUKlxyLykpwaxZs5CQkCBeGZGcnAxra2uEhIQ0uWtUFhq2llu4cCHT1nJ1YmJiJLbcsyyU\n1VBlZSVOnDgBoVCIS5cu4f3332cyFREWFtbsJhFWU0T29vb44osvpG4g2r59O06fPs0kjoYKCwsR\nGRmJiIgI3h60KzNW5Z7rU7jkPmPGDBgYGGDFihXiOSyO47B27Vo8ePAA+/fvZxKHn58foqKiMGfO\nHHzxxRfM5g//ibKyMnz33Xf46quveI1DXrrdsKwWev/+fdjb22PEiBFSNxD169ePSRykaRkZGQgP\nD4dIJBIPimSNjxr7Cpfc+/btK1Ez+59ea2vy0FouJycH69evFxfsWrFiBXbv3o1vv/0WU6ZMwbZt\n22QeA/D3D+vq9gDIkq2tLeLj4wEAn376KQ4cOCC+xnpTmbxtIOJLREQEpk6dyncYAIBnz55BJBJB\nKBTi1q1b8Pf3h4uLC7MCe0ZGRtiyZUuT12WxyU7hVss0h+XnlDy0lvPy8sLIkSPh4OCAX3/9FQMH\nDsTw4cORkJAAHR0dZnEsXboUlpaW+Pjjj6GmptZoAxEL9TcHNRyNsR6/qKmpwdvbm+k95dGBAwew\nd+9efP/997w9E9u1axeEQiHy8vLg6uqK0NBQODk5MdmHUl9xcTFOnDjRZEMbmeyglulCSxnw8vLi\nVq9ezdXU1EicX7NmTaP67rIkraN7/X9YGDRokMRxr169xGtpWUpOTua++uorbtCgQdzMmTO5c+fO\nNfr/I2v1a/k3rOvPss5/165duW7duon/0dDQ4IyMjDgfHx+Zr2uWR0ePHuVMTEy4NWvWcPn5+czf\nI6qqqpyjoyN38+ZN8Tk+1tqz/B2so3Aj9x07dsDHxwfGxsYSD1QHDx6MPXv2MItDHlrLcRyHwsJC\ncQyampooLi4WH7Na5jVo0CAMGjQIGzZswJUrVyAUCuHr64uNGzfCycmJSQzyUi1UWtPlwsJChIWF\n4fPPP0dkZCSzWOTB5MmTYWhoCDs7O4SEhEisXGHxHsnJyUFkZCR8fX2Rn58PV1dXVFVVyfy+DUnL\nE7KmcHPudTIyMnDnzh0AtUsh+/Tpw3NE7BkYGDTZg5HlMq86+fn5OHToECIjI6Gqqoq1a9di+PDh\nTO79d9Mge/fuZRJHc5StoFxlZSUCAwNx+PBhbN68GQ4ODrzG8+TJE0REREAoFKKsrAzOzs5Yv349\nk3unpKSgtLQUI0eOlDh/+fJl6OjoyCR/KWxybyg7Oxvr16/HDz/8wOR+itAcgpXQ0FAcOnQIFRUV\ncHV1hbu7O5N1/oqkqqoK1tbWMtmsIq/69++PKVOm4JtvvmHa0/efuH//PoRCIVasWMHkfg4ODvjv\nf//b6AHurVu3EBAQIJMSyAqX3Jtq6Xbs2DEsXLiQWUs3FRUVmJubo0ePHgAaVyFkUea24QeMQCBA\njx49xFvOWan7WdRtxGj4EJVF0xB5WLEDSC89XFhYiIiICNja2jJLJvJAWpNu1uSlFPTQoUNx48YN\nqdcGDhzYqJl4W1C4OXcfHx+Jlm4WFhaYNWsW0tLSmC4127p1Kw4fPozOnTvDw8MDzs7OzNe6S+s+\nVFBQgFevXkEoFIqfSciaPDTKqD/X/dNPP+Gzzz7jJY6GIzCBQABNTU0sXLgQ9vb2vMTEl+XLlzd7\nncWHfv3/H8ePH4ejo6P4WGarVKQoKipq8lp5eblM7qlwI3dLS0skJyeLj1nXMGkoMzMTIpEIx44d\ng76+PgICApgl1aYkJCRg8eLFuHjxIq9x8IWPDSOkMS0tLejp6cHT0xM2NjaNng2xLn/M5++Fp6cn\nxo0b16gO1J49e3Du3DlERES0+T0VbuQuDy3d6jMyMsKkSZNQXl6OAwcOID09nffkPmTIECaFy+QV\nq7X10shDtVB58eeff4prDoWHh8Pe3h6enp4wMzPjJR4+fy+Cg4Ph7OyMgwcPSuxcfvXqFY4ePSqT\neyrcyF0eWroBkiN2PT09eHh4wN7eXi4eHOXm5oo7vSgjPlelyEO1UHlUWVkJoVAIPz8/rFy5EvPn\nz2cegzysVoqNjZXYuSzLOlAKl9yvXbvGbHldc+qqEE6aNAkaGhqNRgUsHuBJ6+xeUFCAK1euIDg4\nmNkac3lQv87/gwcPJMqryqqk6t/hq1qoPKmsrMTJkychFAqRlZUFJycnzJw5E7169WJy//ptDy9e\nvAg7OzuJ6yzm/YHa4n51ifzhw4cwNDQUX4uKipLJ3L/CJXd5+PQFgFWrVjX7NY/F9uZ9+/ZJHNc9\nvBs6dCjzJLJv3z5s27ZNXNJ2wIABWLBgAbOiYfJS5x+Qn2qhfPPy8kJqaiomTpwIDw8PmJubM49B\nXtoe1s9bDXOYzHIaq62wbcXS0pLvEBSCu7s7s3uFhYVxlpaWXExMDFdUVMQVFhZy58+f56ysrLj9\n+/czieH+/ftcfHx8o/Px8fHcgwcPmMTAcRy3dOlSzsjIiNuwYQNXWlrK7L7ySCAQcF27dhX/U1eS\noe41C/LQ9pDjJPNWwxwmq5ymcCP3N998s9FXq/pYfc2Sd71798bjx4+Z3Gv48OEQiUQwMDCQOJ+V\nlQUPDw9cu3ZN5jHwsUlEGnmoFkr+x8PDA/PmzWuUMy5duoQffviBSa8BgJ+Ru8KtltHS0pK6vpvw\np6SkpFFiB2rLI7BKZrm5uVLLtw4cOBBZWVlMYgDko1qovImNjRVX6jQ3N8eYMWOY3fvBgwdSB4Oj\nRo3C3LlzmcWRmZkJJycncBwnfg3UfujLqv2hwiX3rl27Ml8fK6+a+rTnOI5pcaTmVgixWj3ExyYR\n0rynT5/CxcUFnTp1Ei//i4yMRHl5OY4ePcrkoaq0Qm51WL5Hjh07Jn69dOlSiWsNj9uKwiX3+k+Z\n+Xbv3j3s2rULaWlpAGofIs6ePRv9+/dncv/mvsGYmJgwiQGoLQlhYWHR6HzdKIWFIUOGYPfu3VI3\nidQlFsLW/PnzMXfuXMyYMUPi/P79+zFv3jyJhCcrxsbGOHXqlNS2hyxrzDc3IJ06dapMBqwKN+e+\nadMmLFu2DEDtKMDNzU18LSAggFmVt6tXr8LFxQWfffYZBg8eDI7jkJSUhN27dyMqKor35ZrXr1+H\njY0Nk3vJw0qV3NxcODs7o2PHjlI3ibBsXkJqyUOz8PT0dDg4OMh120NZPR9TuOTOy5IiKT7++GN8\n9dVXjeYP4+LisGHDBt4aIddh+UBVnrDcJEKa11Tby5qaGvTr1w8PHjxgEoe8tz2U1XtV4aZl6n8W\nNfxcYvk5lZGRIfXB0OjRozFnzhxmcTSF5c/C0NBQ6soQoHbtfUZGBrNYxo4d2+wuZsKOg4MDZs+e\njeDgYKirqwOo3a375ZdfNpomkZW0tDSYmJjA29sblZWVUFNTE19juSGSj+djCpfc6yeRhpuIWNaO\n6NatW5PX6n6R+cTyZ5GQkCBxXFNTg0OHDmHLli0YPHgwsziIfNm0aRP8/f2hr68PfX19cByH7Oxs\nTJ8+ndn06bRp08SJ9b333pNIsvPmzWP2TZ+P52MKl9xv3rwJDQ0NcByH8vJyaGhoAKj9BKyoqGAW\nR3Z2NhYsWNDoPMdxePr0KZMY6m+tbhjDX3/9xSQGoLa9H1Cb1A8cOIDNmzfD0tISJ0+e5L2eN+GP\nqqoqtmzZgrVr14qnYPr06YMuXbowi0FevunzURZb4ZJ7dXU13yEAADZv3tzktSFDhjCJobklVLJa\nXiVNVVUVQkNDERQUBFtbW0RHR4truxDlJa3kdP1vec1tRmwr8vJNn4+FIAr3QLWiogI//vgjHjx4\nAAsLC8ycORNvvKFwn1EylZ2dDZFIBD8/Pyb309XVxRtvvIFFixahd+/eja6zaohA5Ev9xhh16oq4\nZWdnMxmoaWtrw8PDAxzHISIiAh4eHgBqR+2HDh1Cbm6uzGMAaIfqPzJ9+nSoqqpi1KhROHXqFG7f\nvo1t27Yxj8Pb27vJT36BQICQkBCm8eTn5yMyMhJCoRDPnj2Ds7Mzs3uPHz8eAoEAN2/exM2bNyWu\nsex2Q+RLw5IPly9fRmBgIHR0dLBjxw4mMdT/ht3wGzWrb9gAP9NDCpfc79y5I+436OPjg2HDhvES\nh7RO7tnZ2QgKCmI2dVRaWoqoqCiEh4cjIyMDkydPxsOHD/HkyRMm968TFhbW5DVWIyMiv86fP4+1\na9dCIBAgICAAH3zwAbN7T58+ndm9msPH9JDCJXdVVVXxaz6nY6ZMmSJ+nZmZifXr1+PixYtYvnw5\nfHx8mMSgra2NDz74AGvWrBFvWPq7hsAsFBUV4ciRIwgPD8fdu3fx7NkzvkMiPDh58iTWrVuH7t27\nIzAwELa2tsxj+LueBqwKDfKxEETh5tw7dOggXmpY94Pq0qULL1X30tLSEBgYiKSkJPj5+eGTTz5h\n+oETHBwMkUiEqqoquLu7w83NDePHj+elp2x5eTmOHTuG8PBwJCcno6SkBNHR0bCzs4OKigrzeAj/\nVFRUoKuri0GDBkkdnbJIrPLWx5UlhUvu8sLNzQ2JiYlYsmQJ3N3d0aFDB4nrb7/9NrNY6lr+CYVC\n3L9/H6tXr4azszOzrdXTpk3DtWvX8NFHH8HNzQ2jR4+GsbGxzKrdEcUgD40yqqurxX1cU1JSeO/j\nyhIl9xYyMDCQ2IUJ/O/BiEAg4GX0DACpqakQCoWIiIhgtr3b0tISnTp1wrRp0+Dm5oZ33nkHRkZG\nvP0MiHypqKgQ/y4aGxvztu1fHvq4skTJXYF9+OGHOHv2LN9hAKidoqr7UNHS0kJaWhpSU1PRs2dP\nvkMjPHn9+jUCAgIQGhoqsUPV29sb69atk3h+Jkt893HlCyX3NpSRkYHw8HCIRCJxcwJZGjx4MJKS\nkmR+n38rMTERQqEQhw4dgq6uLq5cucJ3SIQHX375JUpLSxEUFCQu11FSUoKlS5eic+fOTJYwEm64\n3AAAEjNJREFUy0MfV75Qcm+lZ8+eiee7b926BX9/f7i4uEjtCtTWjIyMsGXLliav872+nOM4XLp0\niclORCJ/+vbti/T09EYPU6urq2FiYiK1YmRbU1FRES/AULa2h5TcW2jXrl0QCoXIy8uDq6srXF1d\n4eTkxPQhoqamJiZNmiR1E4RAIEBoaCizWAhpqF+/fkhPT//X10jbULh17vJi/vz5mDBhArZt2ybu\nQsSyVgVQ2wSDEjiRV6ampti/fz+8vLwkzv/8889MO4UpK0ruLZSTk4PIyEj4+voiPz8frq6uTHsy\nAmyr2hHyb+3cuRMuLi4IDQ2V6IJU10OVyBbtLmkhTU1NfP7554iLi8PZs2fRvXt39OzZEwMGDEBA\nQACTGPbt2yd+XVlZKXHt2rVrTGIAgEWLFolfN3xI1rB/JlEevXr1wvXr17FixQoYGBjAwMAAK1as\nwO+//97uV6rIBY60qXv37nGrV69mcq/BgwdLfS3tWBniIIrhxYsX3IYNG/gOo92jkXsb69evH1as\nWMHkXpycNCJoLg6ivHJycuDr6wt7e3ssW7YML168QFBQEPr370/1hhigOXcFJi+NCGpqalBYWIia\nmhrx67okLy/NVQh7Xl5eGDlyJBwcHPDrr79i4MCBGD58OBISEqCjo8N3eO0eLYVUYPLSiMDAwAAq\nKipNjtqpxoxysrS0RHJysvhYV1cXjx8/pkJyjNDIvYWqq6tRXl6Orl27Aqh9gPnq1SsAtTtHm2ug\n3VbkpRFBVlYWs3sRxcFxnMS3OE1NTRQXF4uPWRbXU0Y0cm+hpUuXQltbW9wX0dDQEObm5qioqICV\nlRU2btzIc4T8y87Oxvr16/HDDz/wHQrhQXPf6PgsrqcsaOTeQufPn8eNGzfEx2+++SaOHz8OjuMw\natQoJjHISyOCu3fvYtmyZcjMzISZmRm2bt2KzZs3Izo6WmKZJFEucXFx0NfX5zsMpUXJvYVqamok\nGnPUjdQFAgFevHjBJIarV68224iAFR8fH8yZMwfvvfceTp8+DQsLC8yaNQv37t3jrbwr4Z+zs7NM\nGj+Tf4amZVpowIAB+P333xvNrRcXF8PGxgZpaWkyj0FeGhE0fHBGtdwJIL9VS5UFjdxbaPbs2Zg6\ndSp+/PFH9O7dGwDw6NEjzJ07F7NmzWISQ4cOHTBhwgRMmDBB3IhgzJgxzBsRVFRUICkpSfzNQU1N\nTeLYysqKWSxEfjx9+hQLFixo8vr27dsZRqN8KLm30OLFi9GlSxfY2tqirKwMHMehW7duWL58OebO\nncssjoaNCBYsWABnZ2dm9wcAHR0dLF68WOqxQCBATEwM03iIfOjcubO4pgxhj6Zl2kBpaSkAMFn+\nWJ8yNyIg8s/Kyorm3HlEyb2F9u/f3+z1hmVOZUFeGhFERUVJHAsEAvTo0QOWlpbMP/CI/Bg+fDjT\nAnZEEiX3FvL19ZV6/pdffsHTp0/x+vVrxhHxx9vbu9G5goICpKSkICQkBOPGjeMhKsK3rKwsvPXW\nW+jevTsAIDY2FtHR0dDX18f8+fPRsWNHniNs3yi5twGO43Dw4EFs3LgRpqam+Prrr8UNPJTZo0eP\n4O7ujuvXr/MdCuGBjY0Njh49infffRfJyckYP348/P39kZKSAlVVVezZs4fvENs1eqDaCq9fv0ZY\nWBi2bNmC4cOH4/Dhw+jfvz/fYckNfX195g1MiPwoLy/Hu+++C6C2+9LMmTOxZMkS1NTUwNLSkufo\n2j+q4NNCO3fuhKmpKRITE/Hrr78iLCyMEnsD9+7dg5qaGt9hEJ7UnxSIiYnB+++/DwBUOIwRmpZp\nIRUVFWhra0NLS0vqw8yUlBQeo2PL0dGxUYnhgoIC5OTk4Oeff8Z7773HU2SETwsXLkROTg7eeecd\n/PLLL0hPT4eqqipycnLg6OiIhIQEvkNs1yi5t9CjR4+ava5MNTXi4uIkjgUCATQ1NdG3b196aKbE\n6kpR5+TkwN3dXdxaLykpCfn5+fjwww95jrB9o+ROWu3DDz/E2bNn+Q6DKIhLly5BJBJh586dfIfS\nrtED1Rbq1q2b1G5HrNeYy4Pnz5/zHQKRc0lJSQgPD0dkZCQMDQ0xZcoUvkNq9yi5t1DdrlQCFBUV\nNdrIVJ+LiwvDaIi8SE9Ph1AohEgkgra2Ntzc3MBxHGJjY/kOTSnQtAxpNU1NTUyaNKnJpgyhoaE8\nREX4pqKiAgcHB+zcuRN6enoAqGIoSzRyb6G6aZn6CU0gEOD169d49eqVUu1Q1dfXpwROGomKioJI\nJIKdnR0++ugjuLu789ZzQBnRgtMWKi0tRUlJCUpLS1FaWoqcnBx8/fXX0NHRwcKFC/kOjyl6wxJp\nJk+eDJFIhNTUVNjZ2SEoKAh5eXmYO3cuPYBngKZlWqmoqAjBwcHYv38/pk2bhi+//BKampp8h8VU\nSkoKSktLMXLkSInzly9fho6ODvr06cNTZETeFBYWIjIyEhERETh//jzf4bRrNHJvoefPn8Pf3x9W\nVlZ44403kJSUhMDAQKVL7AAQEBAADQ2NRuc1NDSohyqR8NZbb2HOnDmU2BmgkXsLqaurQ0tLC97e\n3lLL2tZvXtHeDR06VKJZeH0DBw7ErVu3GEdECKEHqi3k5+cnXueu7Msii4qKmrxWXl7OMBJCSB0a\nuZNW8/T0xLhx4zB79myJ83v27MG5c+cQERHBU2SEKC9K7i3UXONfQLma/+bm5sLZ2RkdO3YU98xM\nSEjAq1evcPToUejo6PAcISHKh6ZlWoga//5Pz549ceXKFcTGxiI1NRUAYG9vTx2YCOERjdxJq8XE\nxIgT+cOHD2FoaCi+FhUVReUHCOEBJfcWcnJyavb6L7/8wigS/tXvct+w433DY0IIGzQt00JXr16F\nnp4ePD09YWNjo9S7NOv/3Rv+HJT550IInyi5t9Cff/6Jc+fOQSgUIjw8HPb29vD09ISZmRnfoTFX\nv/RxwzLI0soiE0Jkj6Zl2kBlZSWEQiH8/PywcuVKzJ8/n++QmHrzzTdhZ2cHjuNw6dIl2NnZAagd\ntcfHx6OwsJDnCAlRPpTcW6GyshInT56EUChEVlYWnJycMHPmTHE7MWXRsM1eQ6NHj2YUCSGkDiX3\nFvLy8kJqaiomTpwIDw8PmJub8x0Sb2bMmIGwsDC+wyCE1EPJvYVUVFSgrq4OQHJeWRnb7NGKGELk\nDz1QbaGamhq+Q5AbL1++RFJSUpMrY6ysrBhHRAihkTtptW7dumHo0KFNttmLiYnhISpClBsld9Jq\ngwcPRlJSEt9hEELqoWYdhBDSDlFyJ622adMmvkMghDRA0zKk1QYOHCh1J2rdyqGUlBQeoiJEuVFy\nJ6326NGjZq/r6+szioQQUoeSOyGEtEO0zp20Wrdu3ZqdllGmDV2EyAsauZM2RcsiCZEPtFqGtCkq\n8UuIfKDkTggh7RDNuZNWi4qKEr8uKiqSOAZAPVQJ4QHNuZNW8/b2bvKaQCBAaGgow2gIIQAld0II\naZdozp202tatWxESEtLofEhICIKDg3mIiBBCI3fSatbW1rh27RpUVVUlzr969QpDhgyh8gOE8IBG\n7qTVXr9+3SixA0DHjh2bbOBBCJEtSu6k1WpqapCbm9vovLRzhBA2KLmTVvPz84O9vT3i4uJQWlqK\n0tJSXLhwAQ4ODli6dCnf4RGilGjOnbSJ06dPY8OGDUhNTYVAIICZmRmWL1+Ojz/+mO/QCFFKlNyJ\nTL18+RJdunThOwxClA5Ny5A2kZ+fjxs3bqCgoAAAUFZWhvXr18PExITnyAhRTpTcSat9//33MDc3\nx4IFC2BqaoodO3bAwsIC+fn5uH79Ot/hEaKUaFqGtJqZmRkuXbqEt99+G48fP0a/fv1w+fJlWFtb\n8x0aIUqLRu6k1dTU1PD2228DAHr37o3+/ftTYieEZ1QVkrTakydPsGDBAvFxTk6OxPH27dv5CIsQ\npUbJnbTa5s2bJY5p1E4I/2jOnchMRUUFjh8/Djc3N75DIUTp0Jw7aVPV1dU4deoUPv30U+jr6yMi\nIoLvkAhRSjQtQ9pEXFwcwsPDcfr0aQwbNgzx8fF4+PAhbWAihCc0LUNaTVdXF6ampvDx8YGDgwPU\n1dVhaGiIhw8f8h0aIUqLpmVIq7m6uiIjIwMRERE4ceIEXr58CYFAwHdYhCg1GrmTNsFxHC5cuACh\nUIhTp06huLgYISEhmDhxIrp27cp3eIQoHUrupM1VVVXhzJkzEAqFOHPmDJ4/f853SIQoHUruRKbK\ny8vRuXNnvsMgROlQcieEkHaIHqgSQkg7RMmdyBS12SOEHzQtQ2Sqd+/eePz4Md9hEKJ0aOROZIrG\nDoTwg8oPkFara63XEMdxlNwJ4Qkld9Jq1tbWEAgEUhO5qqoqDxERQmjOnRBC2iGacycykZGRgbVr\n18LMzIzvUAhRSpTcSZt59uwZtm7diqFDh8LMzAw1NTUQiUR8h0WIUqJpGdJqu3btglAoRF5eHlxd\nXeHq6gonJycq+UsIjyi5k1br2LEjJkyYgMDAQFhYWAAAjIyMkJmZyXNkhCgvWi1DWi0nJweRkZHw\n9fVFfn4+XF1dUVVVxXdYhCg1GrmTNvXkyRNERERAKBSirKwMzs7OWL9+Pd9hEaJ0KLmTVquqqpK6\nnj09PR0ikQgrVqzgISpClBsld9Jq2tracHJygqenJ8aNG0ct9giRA7QUkrTa3bt3MXToUAQGBkJP\nTw8LFy7EtWvX+A6LEKVGI3fSpp49e4bIyEiIRCLk5eXBw8MD69at4zssQpQOJXfS5l68eIGoqChs\n3boVOTk5yM3N5TskQpQOTcuQNlFRUYHIyEi4uLjA2NgYMTEx2LBhA549e8Z3aIQoJRq5k1abNm0a\nfvvtN4wePRoeHh6wt7dHp06d+A6LEKVGm5hIq02YMAE//fQTunXr1uhabm4uevbsyUNUhCg3GrmT\nNldUVIQjR44gPDwcd+/epakZQnhAI3fSJsrLyxEdHQ2hUIjk5GSUlJQgOjoadnZ2fIdGiFKiB6qk\n1aZNmwYzMzNcvHgRixYtwsOHD/HWW29hzJgxUFGhXzFC+EDvPNJqd+7cgba2NgYMGIABAwagQ4cO\ntEuVEJ7RtAxpteTkZKSlpUEoFGLs2LHQ0tJCaWkpPUwlhEf0QJW0ucTERISHhyMyMhK6urq4cuUK\n3yERonQouROZ4TgOly5dooeqhPCApmVIq61Zs6bZ65TcCWGPRu6k1b799ttG58rKyhASEoK//voL\nL1684CEqQpQbJXfSpkpLS7Ft2zaEhITA3d0dS5Ysgba2Nt9hEaJ0aCkkaRMFBQX4v//7P1hYWOD1\n69f4448/sHHjRkrshPCE5txJq/n5+SEqKgpz5szBrVu30LVrV75DIkTp0bQMaTUVFRWoqanhjTfe\nkNi8xHEcBAIBSkpKeIyOEOVEyZ0QQtohmnMnhJB2iJI7IYS0Q5TcCSGkHaLkTggh7RAld6JUVFRU\n4OXlJT6urq6GlpYWnJycmv1ziYmJWLRokazDI6TN0Dp3olTU1dWRmpqKyspKqKmp4dy5c9DT0/vb\nP2dtbQ1ra+t/fJ/q6mp06NChNaES0io0cidKZ+LEiTh58iQAQCgUwtPTU3ztxo0bGDFiBKytrWFr\na4v79+8DAOLi4uDo6AgAKCwshLOzMwYNGoQRI0YgNTUVALB69Wp4eXnB1tZW4tsBIXyg5E6UikAg\ngIeHB4RCISorK5GSkgIbGxvx9QEDBiA+Ph6JiYlYvXo1/P39Jf4sAKxcuRJWVla4efMm1q1bh08/\n/VT879y9excxMTE4ePAgu78UIVLQtAxROubm5sjKyoJQKIS9vT3q7+MrKiqCl5cX7t+/D4FAgNev\nXzf68/Hx8YiKigIAjB07FgUFBeLKl05OTujYsSObvwghzaCRO1FKTk5O8PPzk5iSAYBvvvkG48aN\nw61bt3D8+HFUVFT8q/+uurp6W4ZJSItRcidKpW6UPnPmTKxcuRJmZmYS14uLi9GrVy8AwN69e6X+\nN0aNGoWff/4ZAHDhwgX06NGDiqURuUPJnSiVunnzXr16Yf78+Y2uL1u2DMuXL4e1tTVqamqk/tlV\nq1YhMTERgwYNQkBAAPbv3y/7wAn5l6hwGCH/wJEjR3DixIkmR/OEyBt6oErI3zh+/Di++eYbhIaG\n8h0KIf8YjdwJIaQdojl3Qghphyi5E0JIO0TJnRBC2iFK7oQQ0g5RcieEkHbo/wFeQrJh1jNs6QAA\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe8213828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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NKqsyuctkMmRmZorb2dnZkMlkDQ6mvLwcgYGBmDRpEkaMGFFv2erJnRBCiKKaF73h4eF1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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe2f39320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10].plot(kind='bar', x='Major', y='Unemployment_rate')\n",
    "recent_grads[163:].plot(kind='bar', x='Major', y='Unemployment_rate')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nuclear Engineering has the highest unemployment rate in the Engineering Domain.\n",
    "Clinical Psychology has the highest unemployment in other than engineering Domain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/dataquest/system/env/python3/lib/python3.4/site-packages/pandas/plotting/_core.py:1716: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
      "  series.name = label\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe2bbfdd8>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Sh7JAWaXX0Kuph+KXxZUuV/fdaVClNRNCCNGIksJQtQKjLJC98XPptBIhhBARKg6EEEJE\nqDgQQggRoeJACCFEhIoDIYQQESoOhBBCRKpUHJ4/f45Ro0ahTZs2cHBwwIULF5CZmQkPDw/Y2tqi\nX79+eP78ufD7S5cuhVwuR5s2bXDs2DFhfmxsLBwdHdG6dWv4+fkJ8wsKCuDt7Q25XA5nZ2ckJydX\nJS4hhJDXVKXiMHPmTHh6euLGjRv466+/YGdnh8DAQPTt2xe3bt2Cu7s7li5dCgC4fv06IiIicOPG\nDRw+fBjTpk0Tbr6YOnUqQkNDkZCQgISEBBw9ehQAEBoaCiMjIyQmJsLPzw9z5syp4tslhBDyOt64\nOGRlZeHs2bOYOHEiAMDAwACGhobYv38/fH19AQC+vr7Yt28fACAyMhLe3t4wMDCAtbU15HI5YmJi\nkJaWhuzsbHTp0gUA4OPjIzyn7GuNHDkSJ06cePN3Sggh5LW9cXFISkpCkyZNMHHiRHTq1AmTJ0/G\nixcvkJ6eDlNTUwCAmZkZHj16BABQKBSwtLQUnm9ubg6FQgGFQgELCwthvoWFBRQKheg5+vr6aNSo\nETIyMt40MiGEkNf0xsWhqKgIsbGxmD59OmJjY1GvXj0EBgb+r0+Sv5WfrgrqP4kQQvh4476VLCws\nYGlpic6dOwMARowYgcDAQJiamgpHD2lpaTAxMQFQcqSQkpIiPD81NRXm5uaVzi/7nGbNmqG4uBhZ\nWVkwMjKqMM+iRYuEx25ubnBzc3vTt0YIIe+kqKgoREVFvdbvVqlXVldXV4SEhKB169ZYvHgxXrx4\nAQAwMjLC3LlzsWzZMmRmZiIwMBDXr1/H2LFjceHCBSgUCvzrX/9CYmIiZDIZunfvjjVr1qBLly4Y\nOHAgPv/8c/Tv3x/r1q1DfHw81q1bh/DwcOzbtw/h4eHiN0G9shJCqpEUemWteoZX51D33Vml4vDX\nX3/h448/RmFhIVq0aIGNGzeiuLgYXl5eSElJgZWVFSIiItCoUSMAJU1ZQ0NDUaNGDaxevRoeHh4A\ngMuXL2PChAnIz8+Hp6cnVq9eDQB4+fIlxo8fj7i4OBgbGyM8PBzW1tb/6A0SQsg/RcWBxnMghBAR\nKg50hzQhhJAKUHEghBAiQsWBEEKICBUHQgghIlQcCCGEiFBxIIQQIkLFgRBCiAgVB0IIISJUHAgh\nhIhQcSCEECJCxYEQQogIFQdCCCEiVBwIIYSIUHEghBAiQsWBEEKICBUHQgghIlQcCCGEiFBxIIQQ\nIkLFgRBCiAgVB0IIISJUHAghhIhQcSCEECJCxYEQQogIFQdCCCEiVBwIIYSIUHEghBAiQsWBEEKI\nCBUHQgghIlQcCCGEiFBxIIQQIkLFgRBCiAgVB0IIISJUHAghhIhQcSCEECJCxYEQQogIFQdCCCEi\nVS4OSqUSnTp1wpAhQwAAmZmZ8PDwgK2tLfr164fnz58Lv7t06VLI5XK0adMGx44dE+bHxsbC0dER\nrVu3hp+fnzC/oKAA3t7ekMvlcHZ2RnJyclXjEkIIeQ1VLg6rV6+Gvb29MB0YGIi+ffvi1q1bcHd3\nx9KlSwEA169fR0REBG7cuIHDhw9j2rRpYIwBAKZOnYrQ0FAkJCQgISEBR48eBQCEhobCyMgIiYmJ\n8PPzw5w5c6oalxBCyGuoUnFITU3FoUOH8PHHHwvz9u/fD19fXwCAr68v9u3bBwCIjIyEt7c3DAwM\nYG1tDblcjpiYGKSlpSE7OxtdunQBAPj4+AjPKftaI0eOxIkTJ6oSlxBCyGuqUnGYNWsWVqxYAZlM\nJsxLT0+HqakpAMDMzAyPHj0CACgUClhaWgq/Z25uDoVCAYVCAQsLC2G+hYUFFAqF6Dn6+vpo1KgR\nMjIyqhKZEELIazB40ycePHgQpqam6NChA6Kioir9vbKFo6pKT0NVZNGiRcJjNzc3uLm5Vdt6CSHk\nXRAVFaX2+7qsNy4O58+fR2RkJA4dOoS8vDxkZ2dj/PjxMDMzE44e0tLSYGJiAqDkSCElJUV4fmpq\nKszNzSudX/Y5zZo1Q3FxMbKysmBkZFRhnrLFgRBCiFj5f5wXL15c6e++8WmlJUuWIDk5GXfv3kV4\neDjc3d2xdetWDB48GJs2bQIAbN68GUOHDgUADBkyBOHh4SgoKEBSUhJu376Nrl27wszMDIaGhoiJ\niQFjDFu2bFF5zubNmwEAu3btgru7+5vGJYQQ8g+88ZFDZebNmwcvLy9s2LABVlZWiIiIAADY29vD\ny8sL9vb2qFGjBtatWyeccgoODsaECROQn58PT09P9O/fHwAwadIkjB8/HnK5HMbGxggPD6/uuIQQ\nQiogY+pO5L8lZDKZ2usRhBDyT5T841qV75SqfydVPcOrc6j77qQ7pAkhhIhQcSCEECJCxYEQQogI\nFQdCCCEiVBwIIYSIUHEghBAiQsWBEEKICBUHQgghIlQcCCGEiFBxIIQQIkLFgRBCiAgVB0IIISJU\nHAghhIhQcSA6zczCDDKZ7I1/zCzMtP0WCNEI6rKb6DSZTAYsqsILLFI/fC15O1GX3XTkQAghpAJU\nHAghhIhQcSCEECJCxYEQQogIFQdCCCEiVBwIIYSIUHEghBAiQsWBEEKICBUHQgghIlQcCCGEiFBx\nIIQQIkLFgRBCiAgVB0IIISJUHAghhIhQcSCEECJCxYEQQogIFQdCCCEiVBwIIYSIUHEghBAiQsWB\nEEKICBUHQgghIm9cHFJTU+Hu7g4HBwe0a9cOa9asAQBkZmbCw8MDtra26NevH54/fy48Z+nSpZDL\n5WjTpg2OHTsmzI+NjYWjoyNat24NPz8/YX5BQQG8vb0hl8vh7OyM5OTkN41LCCHkn2Bv6OHDhywu\nLo4xxlh2djZr3bo1u3HjBpszZw5btmwZY4yxwMBANnfuXMYYY9euXWMdOnRghYWFLCkpibVs2ZIp\nlUrGGGNdu3ZlMTExjDHGBgwYwI4cOcIYY2zdunVs6tSpjDHGwsPD2ejRoyvMUoW3QXScXk09BuCN\nf/Rq6mn7LRANKPn7sir8VP07qeoZXp1D3fI3PnIwMzNDhw4dAAD169dHmzZtkJqaiv3798PX1xcA\n4Ovri3379gEAIiMj4e3tDQMDA1hbW0MulyMmJgZpaWnIzs5Gly5dAAA+Pj7Cc8q+1siRI3HixIk3\njUtIhZQFSlShNvzv+YS8e6rlmsO9e/fw559/onv37khPT4epqSmAkgLy6NEjAIBCoYClpaXwHHNz\ncygUCigUClhYWAjzLSwsoFAoRM/R19dHo0aNkJGRUR2RCSGEqGFQ1RfIycnByJEjsXr1atSvXx8y\nmUxlefnpqig5CqrYokWLhMdubm5wc3OrtvUSQsi7ICoqClFRUa/1u1UqDkVFRRg5ciTGjx+PoUOH\nAgBMTU2Fo4e0tDSYmJgAKDlSSElJEZ6bmpoKc3PzSueXfU6zZs1QXFyMrKwsGBkZVZilbHEghBAi\nVv4f58WLF1f6u1U6rfTRRx/B3t4eM2fOFOYNGTIEmzZtAgBs3rxZKBpDhgxBeHg4CgoKkJSUhNu3\nb6Nr164wMzODoaEhYmJiwBjDli1bVJ6zefNmAMCuXbvg7u5elbiEEEJek4ypO1ejxvnz5+Hi4oJ2\n7dpBJpNBJpNhyZIl6Nq1K7y8vJCSkgIrKytERESgUaNGAEqasoaGhqJGjRpYvXo1PDw8AACXL1/G\nhAkTkJ+fD09PT6xevRoA8PLlS4wfPx5xcXEwNjZGeHg4rK2txW9CJlN7yomQypSc9qzKtkPb3rtI\nCttF1TO8Ooe67843Lg5SQsWBvCkpfAkQ6ZHCdqHt4kB3SBNCCBGh4kAIIUSEigMhhBARKg6EEEJE\nqDgQQggRoeJACCFEhIoDIYQQESoOhBBCRKg4EEIIEaHiQAghRISKAyGEEBEqDoQQQkSoOBBCCBGh\n4kAIIUSEigMhhBARKg6EEEJEqDgQQggRoeJACCFEhIoDIYQQESoOhBBCRKg4EEIIEaHiQAghRISK\nAyGEEBEqDoQQQkSoOBBCCBGh4kAIIUSEigMhhBARKg6EEEJEqDgQQggRoeJACCFEhIoDIYQQESoO\nhBAAgJmFGWQy2Rv/mFmYafstkGokY4wxbYeoKplMhnfgbRAtkMlkAKqy7bw7255MJgMWVeEFFuHd\n+iy0vF1UPcOrc6j77qQjB0IIISI6UxyqeshMh81EU2jbJFL0VpxWOnLkCPz8/KBUKjFp0iTMnTtX\nZfnrnFbSr6UPZYGySjn0auqh+GVxlV6DSIsUTh9IZdusao53af+QwnZBp5VeQalUYsaMGTh69Ciu\nXbuGsLAw3Lx585+/ToESJR90ZT+nXrGcVXkHfh1RUVEaX8fbkAGQSo4oja/h1dvmq7fP6tg2q7qP\nVEeGt+coKorDOl5HlMZe2UBjr1xNYmJiIJfLYWVlBQDw9vbG/v37YWdnV81rigLgVs2v+c9FRUXB\nzU27OXhkqF+/EXJzn1fpNerVM0ROzrNqSlSZKEhhu5BGDs1nSFekv/qi+CkAvdW8xqL0akxUmSho\n/+8BaDKH5IuDQqGApaWlMG1hYYGYmBgtJnpzr/uFuHjx4kqXVccX4uvkUJehOnKUrP9Vh8yLoO6b\nIjdX9sbrJ9KkV1MPykWvcQRyWv1rkKqjT5Gjv78Q1f0sVLu8qv9tv14O9RmqKwch5b3eKTb12yeP\n07+6QPIXpKOjo7Fo0SIcOXIEABAYGAiZTKZyUbrkwg0hhJB/qrISIPniUFxcDFtbW5w4cQLvvfce\nunbtirCwMLRp00bb0Qgh5J0l+WsO+vr6WLt2LTw8PISmrFQYCCFEsyR/5EAIIYQ/uiBNCCFEhIoD\nIYQQEZ0rDsXFxcjJyRGmo6OjcebMGZw5cwbZ2dnccly7dg2RkZHC9KxZs/DRRx/ho48+QmxsLJcM\nqampOHfunDAdFBSEgIAABAQE4Pbt21wyAEBWVhYSExOF6V27dmHLli3YsmUL0tN53NAEhIaGYsWK\nFcK0ubk5GjZsiAYNGmD9+vVcMgDA/v37ERwcLEx369YNLVq0QIsWLfDf//6XS4Zt27YJj8+fP6+y\nbO3atVwyAEBISIiwXTDGMHHiRDRs2BCOjo7c9hEpbJuAlvZVpmNmz57Nli1bJkxbW1uzQYMGsb59\n+7I5c+ZwyzFo0CB2/vx5YbpNmzbsv//9L9uyZQsbOnQolwze3t7st99+E6Zbt27NfvzxRxYQEMDG\njBnDJQNjjH3yySds48aNwnTLli3ZjBkz2KRJk9inn37KJUPnzp3ZkydPhOkOHTowxhjLy8tjLi4u\nXDIwxliPHj1YcnKyMN2+fXv25MkTdv/+febu7s4lQ8eOHSt8XNG0Jjk4OLCCggLGGGPbt29nnTp1\nYk+ePGHHjx9nvXr14pJBCtsmY9rZV3WuOHTo0IEVFhaqTDPGmFKpZD179uSWw8nJSWW6W7duwmNe\nOcrv6KWfBWOM285Xul6lUllhDl6fRfm/xw8//CA87tKlC5cMjJUUqbKmT58uPC67jWhS2c+/7OOK\npjWpffv2wuMPP/yQ/fTTT8I0ryIlhW2TMe3sqzp3WkmpVMLA4O8WvMuWLQNQciNd2dNNmlb+FFZ0\ndLTw+NGjR1wy5Ofnq0yfOHFCePzkyRMuGQCgqKhI5UbGrVu3Co+fPdN030kVr+frr78GULK98Pws\nMjMzVabLnsZ5/Pgxlwxl/xblbzDlecOpnp4eHj58iPz8fJw4cQJ9+/YVluXl5XHJIIVtE9DOvqpz\nxaGgoEDli9nDwwMA8Pz5c9EfQJOaNWuGCxcuiOZHR0ejWbNmXDI0aNAACQkJwrSRkREA4ObNm2jQ\noAGXDEDJl0BaWpow3bZtWwAl/Wrp6fHZRD08PPDNN9+I5n/77bfCNsJDt27dEBISIpr/66+/omvX\nrlwy3Lx5E46OjmjXrp3wuHT61q1bXDIAQEBAADp37gxra2sMGTIEDg4OAIDTp0+jRYsWXDJIYdsE\ntLSvauR4RMJWrlzJBgwYwO7fvy/Mu3fvHhswYABbsWIFtxwXLlxg1tbWbNGiRSwyMpJFRkayhQsX\nMmtra3bhwgUuGQ4fPszkcjnbtGkTu3LlCrty5QrbuHEjk8vl7NChQ1wyMMbY1q1bWefOndnp06dZ\nVlYWy8pzW0LNAAAgAElEQVTKYlFRUaxz585sy5YtXDLk5OQwb29v1rJlSzZ8+HA2fPhw1rJlSzZ6\n9GiWnZ3NJQNjjKWnpzNnZ2fm5ubGvvjiC/bFF18wV1dX1r17d5aWlsYlw71799T+8FRYWMgyMjJU\n5uXm5nL7m0hh22RMO/uqTt4Et379eixZsgS5ublgjKFBgwaYN28epk6dyjVHeno6goODce3aNQCA\ng4MDpk+fDlNTU24Z4uPjsXz5ciFD27Zt4e/vL/yHxMuRI0ewZMkSlRzz5s3DgAEDuOa4e/eukMHe\n3h4tW7bkuv5SJ0+eVNku3N3dua379u3bSE9PR8+ePVXmnz9/HmZmZtw+k23btoExhvHjx6vM37p1\nK/T19TFmzBguOaSybfLeV3WyOJQqPb3E8xQKkabk5GS1y5s3b84pifYNGjQIS5cuRbt27VTmX716\nFV9//TV+++03Ljm6deuGEydOoH79+irzc3Nz4eLigsuXL3PJoask37dSdduyZYva5T4+Plxy9O7d\nu9KLezKZTOWCk6ZMnDhRbYbQ0FCNZwBKzi1XRiaTYcGCBRrPMHDgQNGQiTKZDI8fP8ajR49QXMxn\n+MsGDRpU+DcpKipCQUEBioqKNJ4hPT1dVBgAoF27drh3757G11+qsLBQVBgAoF69eigsLOSSQQrb\nJqCdfVXnisPFixcrnB8ZGQmFQsGtOPz444+iedHR0Vi+fDlMTEy4ZBg0aJBoXkpKClatWsXtyxAo\n2dnLy83NRWhoKJ4+fcplB7x69arK9L1797Bs2TL8/vvvQsslHsq3YsvJyUFwcDB+/fVXDBs2jEsG\nda1weLUSKl1Xbm6uaPvIzs5GQUEBlwxS2DYBLe2rGrmS8ZZQKpVs69atrG3btszLy4v99ddfWskR\nFRXF+vTpw3r27Mn1QnBZd+7cYZMmTWJyuZytW7eOvXz5Uis5srKy2Hfffcesra3ZnDlzWHp6Otf1\nJyQkMF9fX2ZnZ8dCQkKEm7B4y8zMZAsXLmQ2NjZs/vz5KjfoaZq3tzf797//LZofEhLCvLy8uOVY\nsWIF69+/v8pF8KSkJObp6cmWL1/OLUcpbW+bpXjtqzpZHAoLC1lISAiztbVlvr6+7ObNm1rJceTI\nEdarVy/Wp08fdvLkSa1kuHHjBhs7diyzt7dnGzduVLlBkKenT5+y+fPnM2tra7Zw4UJRCxVNu3r1\nKvP29mbt2rVjW7duZUVFRVzXX+rx48ds3rx5zMbGhn333Xfs2bNn3DOkpaUxZ2dn5urqKrSYcnFx\nYd27d2cPHz7kmuWXX35hzZs3Z0ZGRqxx48asefPmbN26dVwzaHvbLMV7X9W5C9LBwcFYvXo1+vTp\ng7lz58La2lorObp06YLHjx/D398fzs7OouWdOnXSeIZRo0bh8uXLmD17Nry8vKCvr6+yvLQttab5\n+/tjz549mDx5MqZPn17heWZN09fXh6WlJQYOHCj6HABgzZo1XHLUq1cPTZs2xcSJEytsKPHFF19w\nyQEAp06dQnx8PAD+LabK01bjESlsm4B29lWdKw56enowMTFB06ZNVS7wMMYgk8lw5coVLjnc3NzU\nXmA6efKkxjNYW1sLGSq6GHv37l2NZwBK/ia1atWCgYFBhX+TrKwsjWfYtGmT2rt/fX19NZ4BABYt\nWqQ2x8KFC7nkkIKgoCC1y3kUSilsm4B29lWdKw73799Xu9zKyopTEkKkSQotpgBg8eLFapfrUqHU\nBp0rDlKxZ88etcuHDx+u8Qyv6vaYx6ktAMjIyFC7nMfprcGDB6v9j71s9+qa9Pnnn6tdzuv0Vlnl\nW0ytXLmSewZtkcK2CWhnX9W5pqyV/VfE+zBR3Y1EMpmMS3GYPXu22gw8Tm0BgJOTk+hQuWwOHqe3\nvvzyS42v43U4OTlpO4Lg2bNn+Omnn7BlyxaMGTMGFy9ehLGxMbf1h4SEwM3NDXK5HIwxTJo0Cbt3\n74aVlRU2b96Mjh07ajyDFLZNQDv7Kh05EPIKMTEx3Dq9Uyc1NRUWFhYaX8+TJ0+wcuVK7Ny5Ex99\n9BE+++wzGBoaany95bVt2xZxcXGoUaMGduzYgZUrV+LYsWOIi4vD4sWLcfbsWe6ZdInO9cpamdzc\nXKH7bp4eP36s8l/Jjh07uPdrVF50dDT3fmMqkpKSwq2/K8YY9uzZgxUrVuDQoUMAgMuXL8PDwwOf\nfvoplwylYmNjsWvXLqEPndTUVEyePFnU15GmWFlZISwsDL6+vqhbty5CQ0MRFBQk/PBiYGCAGjVq\nAAAOHDgAHx8fGBsbo2/fvsjNzeWWoyI8t011NLmv6lxxePjwIT777DMMHDgQc+bMQU5ODlatWgVb\nW1s8ePCAW449e/agSZMmcHR0hKWlJSIjI9GpUydhGEIezp49i3bt2qFevXro2rUrLl++jKFDh2L6\n9On45JNPuGQAgBs3bmDw4MFwcHCAl5cXUlNTMXPmTPTq1QutW7fmkmHy5MkIDg5GRkYGvv/+e4wY\nMQK+vr6YNm0a4uLiuGQAgG+++QZjx47Fnj17MHToUMyePRvvv/8+HBwcuHWX7e/vj4kTJwIoaUJa\n/ocXKYznIIVtE9DSvqrRuygkqG/fvmzhwoXsyJEjzM/Pj1lbWzNvb2/uN/e0a9eOJSYmMsYYu3z5\nMjMwMFAZBpCHTp06sVOnTrH8/Hy2d+9eVrt2bbZ27VquGRhjzNnZmW3cuJHdvHmTrVq1ijVu3Jj5\n+/uzvLw8bhnatm3LiouLGWMlQ4MaGhpyvSu5lL29vfC+MzIyWL169VhSUhL3HFLw22+/sWbNmjFT\nU1P28ccfC/OjoqKYp6cnlwxS2DYZ086+qnPFoezQg4wxZm5uLnwp8FR+2D8HBwetZ2jdujX3DIyJ\n/yY2NjbcM2hzrGR16+U5LGepUaNGCY/Lj6v+r3/9i1uO58+fVzieQ05ODrfxHKSwbTKmnX1V51or\nMcaQmZkpnOc3NjbG8+fPhWleTdMePXqkcv722bNnKtM8bvB59uyZSpPaoqIilWkeLaaAkiEQ4+Li\nhL9BrVq1VKZ5NKktHfEMKNlG7ty5A0dHR+43R969exdDhgwRciQlJQnTAJ8mtYmJicLj48ePq1yL\n4zVUKQB07NgRP/zwA7y9vVXmV9QZnqZIYdsEtLOv6lxrJWtra+jp6Wm9aZoUbvCZMGGC2ru0N2zY\noPEMgDTuFpfKzZGnT59Wu9zV1VXjGTp16iS0qy/7uKJpTbp//z78/PyQk5ODX375Ba1ateKy3rKk\nsG0C2tlXda44EFKRmzdvws7ODgDw8uVL1KpVS1gWHR2N7t27c8mRlZWFhg0bVrgsOTmZy6BDdnZ2\nCAsLg1KpxLhx47Bjxw6wklPQGDduHG7cuKHxDGUdPnwYEyZMQJcuXVTGbeZ1Y6LO0viJK4nZunWr\n8PjcuXMqy37++WduOaRwXnfmzJnC459++kllma+vL5cMjDG2bNky4XFERITKsq+++opLhrLndLV5\n/aHsutzd3bWSw9XVlbm5uVX6w9PNmzeZu7s7GzFiBDt58iSLiooSfniQwrbJmHb2VZ0rDlL5Eih7\noVFbFyGl8llIIUfZz7z858/zorBUckjB3LlzmZ2dndbGOGFMGtumtnLo5AXpih5XNK1J6vrxUbes\nOqn7LHiSwt+k7Gde/vPn9feQSg4p9PsFlNwEFxcXh9q1a3NZX0WksG2+Koem6FxxkMLOBwAvXrxA\nXFwclEol8vLyhBYQjDFuN/golUpkZmZCqVQKj0s3PJ7DhErhb5KamorPP/8cjDHhMVCyIyoUCi4Z\ngL9bsTHGVFq0Mca4tRSSQr9fQElrpdK71SvCI4cUtk1AO/uqzl2Qrlu3Llq1aiU0VyxtAcEYw927\nd7ndlq+uFQRQMtCKpkml5Za+vj7q1asnFMa6desCKPmb5OfncxlMfvPmzWqX8xrPQQqt2KSi9C5t\noKRgDR48WJjm1ZpOCtsmoJ19VeeKg1SaLJK3R1FREQwMdOcgOygoCIaGhpg0aZLK/NDQUGRnZ8PP\nz497po4dO3LtxoToYN9KeXl5sLKygpWVFczMzITHVlZWePjwIbccy5cvFx7v2rVLZdnXX3/NJcO2\nbduEx+fPn1dZtnbtWi4ZAKi0FU9KSlJZ9qrz39WlV69ewuPx48erLOPZI6uXl5fweO7cuSrLPDw8\nuGTYvn07fHx8RPPHjx/P7d6X8niewilLCtsmoKV9VSOXuSVMl1sfSDGDVHJIofWYVHI4OjpWuqxt\n27ZcMpQnhe5MdG0f0Z1j5f9hb0HrA145pJBBKjmk0HpMKjmUSiXS09NhamqqMj89PZ3L+kuVjs7H\n/nc9sGw3IgCfm+CksG1qK4fOFQeptD6QQg4pZJBKjmfPnmHv3r1QKpUq/dgwxvD8+XMuGQBptGLz\n9/fHwIEDsXLlSqHvoMuXL8Pf35/riHll16WtkfqksG1qK4fOXZA2MTGBt7c3GGPYuXOn0KkXYwwR\nERHc/juSQisIqbTcatSoEVxcXMAYw9mzZ+Hi4iLkOHfuHDIzMzWeoWzLmIps3LhR4xkAabRiA0q6\nrAgMDER8fDyAklHZ5s2bx30QqD///BO3b9+Gg4MD2rRpw3XdgDS2TUA7+6rOFQepNFmUAqm03JJC\nZ3NEegICArBt2zY4OTnhwoUL+Oqrr7gOQgVIZ9vUxr6qc8WBkIqoG31PJpOJWjBpypkzZ9QuL/3P\nVZNCQkLg5uYGuVwOAPjoo4+we/duWFlZYdOmTdy6qXZwcMDFixdRt25dPH36FP3798fFixe5rJvo\n4DWHiRMnqu36NjQ0lEuOBg0aCBfbyq6/qKgIBQUFKCoq0ngGGxsblc+C/W/sgtIsd+7c0XgGAOjd\nu7fav8mJEyc0nqGyL53IyEgoFApuxWHFihWieaXjSaSkpHC5c3316tWYMGECgJIxzf/66y/cvXsX\ncXFxmDlzJs6ePavxDEDJ2Amlp1uNjY2hVCq5rLcsKWybgHb2VZ0rDoMGDRLNS0lJwapVq7h2GVF+\nLN6cnBwEBwfj119/xbBhw7hkuHTpksq0UqlEREQEfvzxR3Ts2JFLBgD48ccfRfOio6OxfPlymJiY\ncMnw888/C48ZY9i+fTuWLVuG7t27Y/78+VwyAOKuK86fP4/vv/8eZmZmKhk1ycDAADVq1AAAHDhw\nAD4+PjA2Nkbfvn0xZ84cLhkA8cBHd+7c4T7wkRS2TUBL+6pGGsi+Je7cucMmTZrE5HI5W7duHXv5\n8iX3DJmZmWzhwoXMxsaGzZ8/XyvjFhcXF7NNmzYxBwcHNnbsWHbt2jXuGUpFRUWxPn36sJ49e3Lv\njbOwsJCFhIQwW1tb5uvry27evMl1/WX9/vvvQtfZx44d47rujh07sgcPHrC8vDxmYmLC4uPjhWV2\ndnbccpTtnruiH960uW2W4rmv6mRxuHHjBhs7diyzt7dnGzduZIWFhdwzPH78mM2bN4/Z2Niw7777\njj179ox7hoKCArZ+/Xpma2vLJk2axBITE7lnKHXkyBHWq1cv1qdPH3by5Enu61+7di2Ty+VsypQp\nLCkpifv6Sx04cIA5Ozuz/v37s7Nnz2olw2+//caaNWvGTE1N2ccffyzMj4qKYp6entzz5OXlsatX\nr7KrV6+yvLw87uvX9rbJmHb2VZ27ID1q1ChcvnwZs2fPhpeXF/T19VWW8xpDul69emjatCkmTpyI\nBg0aiJbzGEPawsICBgYG8PPzq3CEMV69b3bp0gWPHz+Gv78/nJ2dRct5XADV09ODiYkJmjZtWuG5\nXV5jSOvp6cHCwgLt27ev8Fw3r9HPioqKkJ2djcaNGwvzcnNzwRhD/fr1uWX4+uuvsWHDBlhZWYEx\nhpSUFEycOBE//PCDcOpLk6SwbQLa2Vd1rjhYW1urXMhh5S4I8+qJdNGiRWrbs9MY0n/noDGk/6ZL\nzXpnzZqF7OxsrFq1SvgHKisrC19++SXq1KmD1atXazyDFLZNgMaQJoQQgVwuR0JCguhLsbi4GHZ2\ndkhMTNRSMt2gc62VYmNj1S7ndZhYOphMZdasWaPxDKUDyVSGx6ktQBojj5U2LS6v9LRSVlaWxjMA\nQLt27dQeUfI6vVWZBw8eoFmzZlzWJZPJKvws9PX1dW5UPG3sqzpXHGbPnl3pMp6HiU5OTlzWo075\n5rTaIoWRx6TyWRw4cEDbEdTq3r07kpOTuazL3t4eW7ZsEXUfvm3bNtjZ2XHJIIVtE9DO9kmnlQip\ngEKhEO57adasmU4N9qOOpaUlUlJSuKxLoVBg+PDhqFOnjvDP1KVLl5CXl4e9e/fC3NycSw5dpXPF\nISsrC+np6ULXALt27RJ6u+zXr5+om2JNOXfuHO7evSv8VzRy5EhkZGQAAL755hu4u7trPMO1a9dU\nbiyaNWuW0APpjBkzuJ1iS01Nxb1794QBd4KCgpCTkwMAGDNmjNDJmCYtXboUhYWF+PbbbwEAzZs3\nh6GhIQoLC+Hr64uvvvpK4xmAktHWMjIy4O/vDwAwNzdHdnY2GGNYsWIFpkyZwiVHZZo3b87tyKHU\nyZMnce3aNQAlRxN9+vThtm4pbJuAdvZVnSsOkydPRo8ePYTuAVq1aoUBAwYgLy8PBgYGWL9+PZcc\nffr0wc8//wx7e3sAJeeaN23ahNzcXCxZsgRHjhzReIbBgwfjq6++Qo8ePQCU7HjfffcdXrx4gd27\nd2Pfvn0azwAAH374IcaOHSvcvW5ra4vJkyfjxYsXuHnzJrZv367xDJ06dcLZs2dRr149AH8PS1lc\nXAxXV1ecO3dO4xmAkqaTR44cgbGxsUqO/Px89OvX75WtmarDZ599Vun1l82bN3O7/lKZ3NxcrF27\nVjRSniZIYdsEtLOv6tyx8sWLF/Hrr78K0w0aNBC6JSg7VKSmZWVlCYUBKGmZUXrozOu/1IcPHwob\nGwA0bNgQI0aMAACVz0jTbt26pdKtSd26dYVrQ++//z63HKWFAQBmzpwJoOTiJ69xFICSL+DSwgCU\n3JcDALVr1+aWo3Pnzm+0rLo9fPgQS5Yswd27d+Hg4IBvv/0WISEhWLlypbCdappUtk1t7Ks6VxyK\niopU/ivaunWr8PjZs2fccpRfV9lWEbzGlCh/kSs6Olp4/OjRIy4ZACA/P19lumxnZk+ePOGSIScn\nB4WFhcKNVaVHli9fvuT6n3L57aJ0PHGlUsnts6is2/r8/Hy1F2irm4+PD3r27IlBgwbhyJEjaNeu\nHbp3745Lly7BzMyMSwYpbJuAdvZVPY28qoTp6ekhLS1NmG7bti2Akotfenr8Pg47OzscPHhQNP/A\ngQOwtbXlkqFZs2a4cOGCaH50dDS35opAydFbQkKCMF16l/rNmzcrvHtcE0aOHIlPP/0UL168EObl\n5uZiypQpGDlyJJcMAODh4YFvvvlGNP/bb7+Fh4cHtxyliouLcejQIYwfPx5WVlbYuXMnt3U/fvwY\nixYtQr9+/bBq1SoUFhZi+/bt3AoDII1tE9DSvqrxDjokZuvWraxz587s9OnTLCsri2VlZbGoqCjW\nuXNntmXLFm45EhMTWevWrdmECRPYmjVr2Jo1a5ivry+Ty+Xs1q1bXDJcuHCBWVtbs0WLFrHIyEgW\nGRnJFi5cyKytrdmFCxe4ZGCMscOHDzO5XM42bdrErly5wq5cucI2btzI5HI5tw7OioqK2Ny5c5mx\nsTHr1KkT69ixI2vSpAmbO3cu1763cnJymLe3N2vZsiUbPnw4Gz58OGvZsiUbPXo0y87O5pYjKiqK\nTZ48mVlaWrIRI0YwU1NTlpuby239jDHm6OjIMjIy2NOnT9nTp09F0zxIYdtkTDv7qs5dkAaAI0eO\nYMmSJUILCG0Ngfjy5Uts375dyOHg4IAxY8agdu3a3DKkp6cjODhYJcP06dO5tdoqFR8fj+XLl6v8\nTfz9/YUjO17y8vJw+/ZtACWNFerUqcN1/aXu3r2r0kKnZcuW3NZtYWEBe3t7TJo0CYMGDUK9evVg\nY2ODpKQkbhmAkq5u9PT0UNFXFM+ubqSybfLeV3WyOBBSnhRGYAPwymaiFXW6Vt38/Pzw22+/oX37\n9hg9ejQGDx6Mtm3bcvsyLnX//n1ufVoRMZ0rDgEBAZUuk8lkWLBgAZcc5Ud2Kp+DxyhsUhnlSgqj\n8w0ePLjCdfMcgQ34u/sMVq5DyMePH+PRo0fccjDGEBUVhbCwMBw6dAjPnz9HaGgoPD09ufXK2qlT\np1d2d6NpUtg2Ae3sqzrXWqlsc8VSubm5CA0NxdOnT7kVBymMwiaVUa6kMDqfFEZgA4CrV6+qTN+7\ndw/Lli3D77//LrRc4kEmk6F3797o3bs3CgsLceTIEYSHh2PatGncWulI4f9WKWybgJb2VY1cyXhL\nZGVlse+++45ZW1uzOXPmsPT0dO4ZpDIKmxRGuWJM+6PzaXMEtrISEhKYr68vs7OzYyEhIaygoEBr\nWcp68eIFt3U1bdqUffbZZ5X+8KbtbbMUr31V544cACAjIwNBQUHYvn07fH19ERsbqzKoCQ+FhYXY\nsGEDVq1ahV69emHfvn3cbsUv6+jRo/j+++9Rq1YtzJ8/H7179+aeAShpGvj9998jLi4O/v7+WL9+\nPdf+jA4ePIgffvgBhoaG+P7777neEFlWfHw8fvjhB1y7dg1z5sxBaGioaEAqTZNKz7Bl+1TSJm1v\nm6V476s6d83B398fe/bsweTJkzF9+nRu50/Lk8IobFIZ5UoKo/NJZQQ2fX19WFpaYuDAgRUWBR5d\nuUtl4CMpXHOQwrYJaGdf1bnioKenh1q1asHAwKDC4SB53Q0rhVHYpDLKVfnR+YC/zzfzarIolRHY\nNm3apPa/9sruXuZl586dGD16NJd1de/eXeVOYG2QwrYJaGdf1bniQEhFsrKy0LBhwwqXJScnc2lC\n+ipFRUVcTmfk5ubi119/xZ07d+Dg4IApU6Zg//79mD9/PuRyOfbv36/xDEDJxfjGjRvD0NAQAHDq\n1Cns27cPVlZWmDFjBmrWrMklh67Sue4zylbY8jf1vGrUp+rk5+cnPC4/Fm5pvz6atnz5cuHxrl27\nVJbxbBmzbds24fH58+dVlq1du5ZLBjc3N+Fx+S6hP/jgAy4ZANXOH8ePH6+yrGvXrlwy+Pj44MqV\nK3B0dMTJkyfh7OyMn376CTt27OBWGABg9OjRyM3NBQD8+eefGDVqFJo3b46//voL06ZN45JBCtsm\noKV9VWOXuiWqY8eOFT6uaPpdzyGFDFLJ0aFDhwofVzTNK0f5984rR7t27YTHRUVFrGnTpiwvL4/L\nuivLMXv2bObv788YK2nhV3aZJklh29RWDp07cmBlzqKxcmfUyk9rK4cUMkjls+CVo+z53PLndnmN\nV/yqdfHKUfbUlb6+PiwsLLh26VKq7N/+5MmTwhEdzw4ypbBtaiuHzjVllcqXgFKpRGZmJpRKpfC4\n9I/M6+YaqXwWUsjx6NEjBAUFgTEmPAZKdrzHjx9zyQCUdNm9d+9eKJVKPHv2TDjVyRgTRv7StL/+\n+ku4/sIYQ15eHho2bMi90Ya7uzu8vLzw3nvvITMzUxgd8eHDh9yuN0hh29RWDp27IN2oUSO4uLiA\nMYazZ88KfeYwxnDu3DlkZmZyySGFTsX09fVRr1494Qugbt26AEo+i/z8fBQWFmo8A1AygEqrVq3A\nGMOdO3eE+z0YY7h7965w3lmTFi9erHb5woULNZ4BKOmuQZ2NGzdyySEFjDHs3LkTDx8+hJeXlzBm\ndFxcHB4/fsylC3MpbJuAdvZVnSsOUmmySP4mlXb1pHK5ubnYu3cvwsLCKhyHhKezZ88iPDwcwcHB\nGl+XLm+bOndaib78pedd3sHeZgUFBTh48CB27NiBo0ePYsSIEZgyZYpWssTFxWHHjh3YtWsXbGxs\nuA0Tqsvbps4VB0KIeseOHUNYWBhOnDiB3r17w9fXFxcvXuR+SishIQFhYWEIDw+HiYkJRo0aBcYY\nTp06xTWHrtK500qE/FO7d+/m9p+qFOjp6WHQoEH49ddf8d577wEAWrRowX08h9IcwcHBsLS01FoO\nXaVzTVnfBlK4G7dnz57c1qWu9curBr/hYdasWdqOgOjoaG4jFcbGxsLe3h4uLi7o378/NmzYwLV7\n6lJ79uxB3bp14eLigilTpuDkyZOS6Ma7FK9uRF5FU/uqzh05DBkyRO1yXh2sqWNpaYmUlBSdyVC2\ng7U+ffqoDFwihc7XeH4W586dw9SpU3H37l04ODjgl19+QUBAAFJTUzF//nwuHTKW9ccffyAsLAy7\nd+9G+/btMWzYMEyePJlrhtzcXOzfvx9hYWE4efIkfHx8MGzYMC6tldRp3ry5JP550dT2qXPXHP7v\n//4PlpaW+PDDD9GtWzdJ/SdSimf7aSlkKPs3yMjIqHSZtvD8LGbOnImff/4Zzs7OOHz4MHr16oUf\nf/wR06dP55ahrB49eqBHjx5YvXo1fv/9d4SHh3MvDvXq1cOYMWMwZswYZGZmYteuXVi2bJnWi4NU\naGr71LnikJaWhuPHjyMsLAw7duzAwIED8eGHH8LBwYFrjtKbrMpjjCEnJ4dLhsr6kiptS82LFG40\nqmwMA8YY0tPTuWQoXV9pP08ffPABmjdvzr0wlD9Sk8lkaNKkCTw8PLT+hdy4cWNMnjyZW4Gq7KiV\nMcbtPiBAO/uqzhUHfX199O/fH/3798fLly8RFhYGNzc3LFy4EDNmzOCWIzs7u9JlM2fO5JKh/NCY\nZVU0PKKmSOHu5AMHDnBZz6uUvSsaKOmJtew0j9NKs2fPFs3LyMhAQUEBwsPD0b59e41nkIqKPotS\ndnZ23HJoY1/VuWsOAPDy5UscPHgQYWFhuHfvHoYMGYKPPvpIuANT2y5evIguXbpoNUN6ejpMTU25\nrEsqdydX5Ny5cwgLC+NywxWg/g5pXuN8VObSpUv44osvcObMGa1lkJLCwkLUqFFD2zE0tq/qXHHw\n8UPrYGAAACAASURBVPFBfHw8PD094e3tjbZt22o7EgDg+vXrCAsLQ1hYGBo1aoRLly5xz/Ds2TPs\n3r0bO3bswI0bN/DgwQPuGaSg/A1Xw4cPx2effabtWFwLdmW00UDg2bNnSExMBAC0bt1aGN9BGxhj\nOHnyJHbs2IEDBw5wPeVYFo99VeeKg56eHurVqwdA9Xw2707FgJLBTEoLQs2aNXHv3j1cunQJ1tbW\n3DLk5eVh//792LFjB/78809kZWVh3759cHFx4db7ZUBAQKXLZDIZFixYoPEMFd1wtWLFild2n6Bp\nUirY6enp8PT0xOXLl7ms7+XLl/j000+xb98+2NjYgDGG+/fvY9iwYVi/fj3XwX6io6OxY8cO7Nu3\nDxkZGQgODsaQIUO4jj3Pe1/VueIgFc7OzigoKICXlxdGjRqFFi1awMbGRjQAkSaNGTMG0dHR6Nev\nH0aNGgVXV1e0atWKawYAWLlypWhebm4uQkND8fTpUy4X6KV0w5W2C/Znn30mujifkZGBP/74A6tX\nr8bgwYM1ngEAvv32W9y5cwfr169HgwYNAJRcq5s+fTqsrKzw3XffaTzD119/jd27d6NFixbw8vLC\n0KFD4eTkxH0f0ca+qnMXpMs3lZTJZGjUqBH35qOmpqaIj49Heno6Hj9+jBYtWnDPcP36dZiYmKBN\nmzZo06YN9PX1tdKMtuxFv+zsbKxevRobN26Et7e32guC1WnPnj0IDw+Hi4sL+vXrBy8vL600oy37\nJeDn5yd8CZQdqU7TOnfurDItk8lgbGyMoKAgmJiYcMuxZ88exMTECD2QAkCDBg2wbt06dO/enUtx\n+M9//oNOnTph6tSp6N+/P2rWrKmVfUQb+6rOFQcnJyfIZDKVHT87OxsdOnTAf/7zH26ndPbt24fn\nz59jz549WLBgAW7fvo3MzEzExMRwGw7yzz//xM2bNxEWFobevXujadOmyM7O1sq57YyMDAQFBWH7\n9u3w9fVFbGws10P2Dz74AB988IFww9WqVavw6NEjTJ06lesNV1Io2KdOncKmTZu4rrMienp6KoWh\nVP369bl9Jg8fPhSavs+YMQNubm7Iy8vjNp53Ka3sq1UZRu5dsnv3btavXz+trT89PZ39/PPPrEeP\nHszCwkIrGS5dusRmz57NLC0tmbOzM7f1fvnll6xFixYsMDCQZWdnc1vvq2RkZLB///vfzN3dnet6\nb9y4wb799ltma2vLevXqxZo0acLS0tK4rZ/n8JfqODo6soyMDPb06VPRj6OjI/c8+fn57L///S8b\nMWIEMzExYR9++CH3DKV47Kt0zaEMKXTVAJT0V//+++9rbf2s3EBImqanp4datWrBwMBAa40ELl68\niCdPnoj6Lzp06BBMTU3h5OSk8QwVuXz5MsLCwhAREQELCwv88ccfGl+nnZ0dwsLCKj2t1qlTJ41n\nAKQxIFZlsrOzsXfvXvj4+GgtA6DZfVXnTitVJicnB0qlkus6Y2NjcefOHdjb28PBwQGpqakICAjA\n0aNHubSS8ff3R6tWrfDpp5+qzP/3v/+NpKQkbsWB9+dekblz51bYJbWDgwMmTpyIkydPaiFVyWlQ\nJycnrFixAmfPnuWyToVCgdmzZ1f6pczrs7h37x6X9agTFBQEQ0NDTJo0SWV+RESE2htZq5s29lWd\nO3KoqNuKzMxMREZGYsaMGfjkk0+45Pjmm2+we/dudOjQARcvXsTQoUOxZ88e+Pn54dNPP+UyoLuT\nkxMuXbokOn+rVCrh6OiI+Ph4jWcAxI0EyjMyMtJ4hi5duuDixYsVLnN0dMSVK1c0ngEAvLy8EBER\nAaCkYC1btkxY5uHhgWPHjmk8Q8eOHREXF6fx9bzKqzq149F7sZOTE6Kjo0U3uxUUFKBz587ctgtt\n7Ks6d+RQvtrLZDKYmZlh27ZtaNeuHbcce/fuRVxcHGrXro3MzExYWloiPj6e6z0OL1++rPDCXmWH\n8ppSUSOBUrxOH6gbO/zFixcaX3+p0pu9AOD48eMqxYFXVyJSMXDgQNF2IZPJ8PjxYzx69IhLN+JF\nRUUV3gVds2ZNrvuINvZVnSsO6rpi4NkCoVatWsLRQePGjSGXy7kWBgCoU6cOEhMTIZfLVeYnJiai\nTp063HLwbjNekb59+2L+/Pn4/vvvhZ2QMYaFCxfC3d2dWw51rXB4tdD56quvcP36ddjb26vMv379\nOpo2bYqmTZtyyXH16lWV6Xv37mHZsmX4/fff8fXXX3PJoFQqK2wRxPvOaK3sqxq5zC1hPXv2FB6P\nGzdOZRnPVhqGhoZs8ODBbPDgwWzQoEEq04MHD+aS4dChQ6xly5Zs48aN7MqVK+zKlStsw4YNTC6X\ns4MHD3LJoE5ycjKbMmUKl3Xl5OQwb29v1qJFCzZ8+HA2fPhw1rJlSzZ69GiuLahsbW1ZbGwsu3Tp\nErOzs2OxsbHs8uXLwjQPo0ePZqdPnxbNP3PmjFZa6CQkJDBfX19mZ2fHQkJCWEFBAbd1b968mTk5\nObGoqCiWlZXFsrKy2KlTp1jnzp3Zpk2buOXQxr6qc9ccyp5PLX9ulee51tOnT6td7urqyiVHfHw8\nVqxYIZyzdHBwgL+/P9dTbDdu3MCcOXOEAW6CgoKwYsUK7Nu3D35+flxHYrt79y6uXbsGoOSzaNGi\nBbd1A0Dv3r0rXcbrYnDnzp0r7durbdu23K5FxcfH44cffsC1a9cwZ84cfPjhh9DX1+ey7rIOHz6M\nwMBA4X23bdsW8+bN4zYyXyne+6rOFYeyzVXLN13l2ZQ1KysLDRs2rHBZcnKyJIYK5aVHjx6YPHmy\nMMBNQEAAPv74YwQEBHC5MA9U3m9/KV7NN9W5cOECunXrpvH12Nra4tatW/94WXXT19eHpaUlBg4c\nWGFRWLNmDZccukrnrjk8e/YMe/fuhVKpVOk7nzGG58+fc8vh5uZW6dCYH3zwAZciNXjwYLXnsXkN\nmfrixQtMmDABQMmXz5o1a7B8+XIu6y6lrpsOns031Rk1ahSXYSlbtWqFQ4cOwdPTU2X+4cOHuR5J\nabN78lIV9TNVFq8CpY19VeeKg6urq/BBurq6qgyiwatdPyCNoTG//PL/27v7uJrv/3/gjxMJudgW\naVO6mMtKUsgmMbPNlIhq5fNZlrAxYchF+8xl+riaMrMLU2tM75NI5mr4iMjV1EoaiVyFVlGRVkm9\nf3/0O+fT6ZzafD/O6/We9/N+u+1267zfs/dTq/M8r6vncy6T5/yZyspKpKenq//eRkZGGq9ZfGo/\nevSo3p/xv2L1cxEZGQl3d3ds375dffgvNTUVp0+fZtoUacKECTqvV1ZWNtn85llqWGeKFx6/q7Kb\nVmrKzp07MW7cOCbPksr0lhRIYZ69sTaMKiw6sP0Zlg3tq6qqEBsbqzG/PX78eGbTfA3V1NTg4MGD\nEAQBhw4dwuDBg7Fjxw4usUiNvuqxUXKoh+Uvn7m5OWbPng1RFBEREYHZs2cDqPt0GBkZiby8PL3H\nsHv3bty+fVvdo9jFxUW9l3716tXw9vbWewx/hlW3LQMDAzg6OsLR0REAtPbWs5riaGz6QPz/TWbK\ny8uZxKEL6654QN3GjdjYWBw4cAADBgxASkoKrl27prMgnz4EBgY2Op2jUCgQFRXFJA5RFLFr1y7k\n5ubCzs5O3Vdj4cKFKCoq0stGGkoO9VhYWDB5Uwak0Rpz0KBBUCqV6v4Fjo6OOHLkCMrLyxEYGKix\nDsKS6o2QZbetxMREKJVKXL16FaNHj4a/vz+6du2q9+c2JJVdbCrp6enq2k6su+KZm5vD1tYWQUFB\n8PDwgLGxMfOeJzt37tS6lpeXh4iICNTU1OD27dtM4pg8eTKuXbuGAQMGIDk5GS+//DIuX76MsLAw\njBkzRj8P1csG2b8pCwsL3iEw1a9fP43XH3/8sfprFxcX1uGIp0+fFoODg0ULCwvR2NhYjImJEYuL\ni5nG8OjRI3Hbtm2ip6enOGjQIPHYsWNMn19YWCj+9ttvWtd/++03sbCwkEkMly9fFpcsWSL27NlT\ndHNzEzds2CB26dKFybPrmzlzpmhjYyN6eXmJSqVSLC8vF62trZnHoZKbmysGBQWJ3bp1E7/66iux\nqqqK2bPt7e3FmpoaURRFsaKiQmzfvr147949vT5TdgvSvXv3bnTYzvLUoxRaYzYsGfHll1+qv2ZZ\nqqFht60lS5bA2dm50QVJfWrZsiXat2+Pdu3a4ebNm6isrGT6/ODgYEybNk3r+v379xEWFobY2Fi9\nx9CzZ094eHjg0KFD6lGlrppk+hYZGYmIiAgcO3YMgiBgzpw5ePDgAbZv346RI0eiTZs2TOLIzs5G\nWFgY0tPTERISgm+++YZpLwcAMDQ0VHcBbNmyJWxsbGBiYqLXZ8puWunPqp1aWloyiUMKrTH/8Y9/\nYOjQoVrFBr/99lv1LyQLpqamcHJywrRp09Tdtli36ExKSoJSqcQvv/yC4cOHw8/Pj8tOFSkcQFNN\nsZ09e1bdFS8oKIh7mZPq6mr1ovTBgwdx7949vT/Tx8cHaWlpmDNnDnx9fbXOW7AoCgkArVu3Vk9z\niqKI3NxcdO3aVV3WXh8FAGWXHFSuX7+uPglra2vL/CRsfarWmFFRUfD19cWcOXOYtGMsLCzEmDFj\nYGRkpN4umpaWhqqqKiQmJjLrBldTU6PutnX06FEMHToUhw8fRl5eHrNPaAYGBnBwcICrqysUCoXW\n6JLVfnapHEADoO6KJwgCkpKSEBAQwLQrXlMqKiqY1P+ysrJS/yzUr7mles3qAwyPD7WySw4PHz7E\npEmTkJqaqt6ZkpGRAWdnZ0RFRTV6alkfGrbGnDlzJtPWmCpJSUkaJSNYFpprqKqqCnv37oUgCDhx\n4gTefPNNJlMpMTExTR4yYjXF5e7ujo8//ljnAbQvvvgCBw4cYBJHQyUlJYiPj0dcXBy3jQpyxqpc\ne32ySw4ffPABrKyssGjRIvUcniiKWL58Oa5evYotW7YwiSMkJAQJCQmYMmUKPv74Y2bzp39FeXk5\nvvzyS8yfP59rHFLptsWyWu+VK1fg7u6O119/XecBtO7duzOJgzQuNzcXsbGxUCqV6g9V+sajx4bs\nkkO3bt00aub/1XvPmhRaY+bn5yM8PFxd8G7RokX47rvv8Pnnn2PcuHFYv3693mMA/nyxU3UGRJ9c\nXV2RkpICAHj//fexdetW9T3WhxKldgCNl7i4OLz33nu8wwAA3L17F0qlEoIg4MKFC1i4cCHGjh3L\nrECljY0N1q5d2+h9fRzSlN1upaawzJNSaI0ZEBCAQYMGwcPDAz///DN69+6NgQMHIjU1FWZmZszi\nmDt3LhwdHfHuu+/CyMhI6wAaC/UPlzX8NMj685ORkRECAwOZPlOKtm7diu+//x5fffUVtzXBTZs2\nQRAEFBYWwtvbG9HR0fD09GRyDqm+Bw8eYO/evY02xNLLCX69bpSVoICAAHHp0qVibW2txvVly5Zp\n9XfQp/v37zf5Dwt9+vTReN25c2f1XmqWMjIyxPnz54t9+vQRJ06cKB4+fFjr/4++1e/l0bCvB8s+\nH23atBHbtm2r/qddu3aijY2NGBQUpPd97VK0a9cusWfPnuKyZcvEoqIi5r8jhoaG4qhRo8Tz58+r\nr/E4a8HyZ1BFdiOHDRs2ICgoCF27dtVYkO7bty82b97MLA4ptMYURRElJSXqGExMTPDgwQP1a1bb\n9Pr06YM+ffpg5cqVOHXqFARBQHBwMFatWgVPT08mMUilWq+upvUlJSWIiYnBRx99hPj4eGaxSMGY\nMWNgbW0NNzc3REVFaewcYvE7kp+fj/j4eAQHB6OoqAje3t6orq7W+3Mb0vU+oW+yW3NQyc3NxcWL\nFwHUbWV99dVXOUfEnpWVVaM9aFlu01MpKirC9u3bER8fD0NDQyxfvhwDBw5k8uw/m8b5/vvvmcTR\nFLkVZKyqqkJYWBh27NiBNWvWwMPDg2s8t2/fRlxcHARBQHl5Oby8vBAeHs7k2ZmZmSgrK8OgQYM0\nrp88eRJmZmZ6ef+SbXJoKC8vD+Hh4fj666+ZPO/v0FyGlejoaGzfvh2VlZXw9vaGr68vk3MefyfV\n1dVwdnbWy2EnqerRowfGjRuHzz77jGlP87/iypUrEAQBixYtYvI8Dw8P/Pvf/9ZaAL9w4QJCQ0P1\nUsJcdsmhsZaUu3fvxsyZM5m1pDQwMIC9vT06dOgAQLsKKIsy1Q0TlEKhQIcOHdQlE1hRfS9UB3ka\nLkKzaDokhR1TgO7S4SUlJYiLi4OrqyuzNyMpuHjxImxtbbnGIJVS7v3798e5c+d03uvduzcuXLjw\nzJ8puzWHoKAgjZaUDg4OmDRpErKzs5luFVy3bh127NiBVq1awc/PD15eXszPOujqflZcXIzHjx9D\nEAT1moy+SaHRTv25/m+//RYffvghlzgafgJUKBQwMTHBzJkz4e7uziUmXhYsWNDkfRYfGur//9iz\nZw9GjRqlfq23XUI6lJaWNnqvoqJCL8+U3cjB0dERGRkZ6tesa/g0dO3aNSiVSuzevRuWlpYIDQ1l\n9qbcmNTUVMyePRvHjx/nGgcvPA4cEW0dO3aEhYUF/P394eLiorU2xrp8Oc+fC39/fwwbNkyrDtrm\nzZtx+PBhxMXFPfNnym7kIIWWlPXZ2Nhg9OjRqKiowNatW5GTk8M9OfTr149J4T+pYnW2QhcpVOuV\nit9//11dcys2Nhbu7u7w9/eHnZ0dl3h4/lxERkbCy8sL27Zt0zg5//jxY+zatUsvz5TdyEEKLSkB\nzRGDhYUF/Pz84O7uLomFt4KCAnWnKTniuStICtV6paiqqgqCICAkJASLFy/G9OnTmccghd1iR48e\n1Tg5r886aLJLDmfOnGG2PbIpqiqgo0ePRrt27bQ+lbBYAA0ODtZ6bnFxMU6dOoXIyEhmZwykoH6f\nj6tXr2qUR9ZXSeQ/w6tar5RUVVVh3759EAQBN27cgKenJyZOnIjOnTszeX79tq3Hjx+Hm5ubxn0W\n6x5AXXFMVSK4fv06rK2t1fcSEhL0svYhu+QghewPAEuWLGlymMrieP4PP/yg8Vq1+Nm/f3/mb0I/\n/PAD1q9fry5J3atXL8yYMYNZ0T2p9PkApFOtl7eAgABkZWVh5MiR8PPzg729PfMYpNK2tf77VsP3\nML29p7E6ii0Vjo6OvEP4W/D19WX2rJiYGNHR0VFMSkoSS0tLxZKSEvHIkSOik5OTuGXLFiYxXLly\nRUxJSdG6npKSIl69epVJDKIoinPnzhVtbGzElStXimVlZcyeK0UKhUJs06aN+h9VSRHV1yxIoW2r\nKGq+bzV8D9PXe5rsRg4vvPCC1tCwPlbDRKnr0qULbt26xeRZAwcOhFKphJWVlcb1GzduwM/PD2fO\nnNF7DDwOGekihWq95L/8/Pwwbdo0rfeMEydO4Ouvv2bSawTgM3KQ3W6ljh076tzfT/h5+PChVmIA\n6sp7sHozLCgo0Fl+uXfv3rhx4waTGABpVOuVmqNHj6or5drb22Po0KHMnn316lWdHyYHDx6MqVOn\nMovj2rVr8PT0hCiK6q+Bug8N+mrfKrvk0KZNG+b7o6WqsU8boigyLS7W1A4tVru3eBwyIk27c+cO\nxo4di5YtW6q3b8bHx6OiogK7du1isiitqxCiCsvfkd27d6u/njt3rsa9hq+fFdklh/qr/LxdvnwZ\nmzZtQnZ2NoC6RdjJkyejR48eTJ7f1AiqZ8+eTGIA6kqaODg4aF1XfUpioV+/fvjuu+90HjJSvTER\ntqZPn46pU6figw8+0Li+ZcsWTJs2TeMNU1+6du2K/fv362zbyrLHRFMfaN977z29fOCV3ZrD6tWr\nMW/ePAB1n0J8fHzU90JDQ5lVWTx9+jTGjh2LDz/8EH379oUoikhPT8d3332HhIQE7tttz549CxcX\nFybPksJOoYKCAnh5eaFFixY6DxmxbH5E6vTo0UO9e+1p7j1LOTk58PDwkHTbVn2tD8ouOXDZEqbD\nu+++i/nz52vNnyYnJ2PlypXcGsmrsFyQlhKWh4xI0xpr21tbW4vu3bvj6tWrTOKQettWff2uym5a\nqX4ubJgXWebJ3NxcnQtrQ4YMwZQpU5jF0RiW3wtra2udO3OAurMXubm5zGJ54403mjxFT9jx8PDA\n5MmTERkZCWNjYwB1p8U/+eQTrWkefcnOzkbPnj0RGBiIqqoqGBkZqe+xPFDLY31Qdsmh/ptQw0No\nLGuntG3bttF7ql8Enlh+L1JTUzVe19bWYvv27Vi7di369u3LLA4iLatXr8bChQthaWkJS0tLiKKI\nvLw8TJgwgdn07/jx49VvzK+99prGm/S0adOYzTTwWB+UXXI4f/482rVrB1EUUVFRgXbt2gGoy8CV\nlZXM4sjLy8OMGTO0rouiiDt37jCJoX5pgIYx3L9/n0kMQF17UqAuKWzduhVr1qyBo6Mj9u3bx72e\nP+HH0NAQa9euxfLly9VTSK+++ipat27NLAapzDTwKGsvu+RQU1PDOwQAwJo1axq9169fPyYxNLUF\nTl/b43Sprq5GdHQ0IiIi4OrqisTERHVtIyJfukrG1x9lNnWY9VmRykwDj400sluQrqysxDfffIOr\nV6/CwcEBEydORPPmssuRTcrLy4NSqURISAiT55mbm6N58+aYNWsWunTponWfVUMVIi31G+uoqIog\n5uXlMfmgZ2pqCj8/P4iiiLi4OPj5+QGoGzVs374dBQUFeo8BoBPSTEyYMAGGhoYYPHgw9u/fj99+\n+w3r169nHkdgYGCjnzwUCgWioqKYxlNUVIT4+HgIgoC7d+/Cy8uL2bOHDx8OhUKB8+fP4/z58xr3\nWHbbItLSsGTJyZMnERYWBjMzM2zYsIFJDPVH+A1H9KxG+ACf6S3ZJYeLFy+q+60GBQVhwIABXOLw\n8PDQupaXl4eIiAhmU19lZWVISEhAbGwscnNzMWbMGFy/fh23b99m8nyVmJiYRu+x+mRGpOvIkSNY\nvnw5FAoFQkND8dZbbzF79oQJE5g9qyk8prdklxwMDQ3VX/OcTho3bpz662vXriE8PBzHjx/HggUL\nEBQUxCQGU1NTvPXWW1i2bJn6wNufNVRnobS0FDt37kRsbCwuXbqEu3fv8g6JcLBv3z6sWLEC7du3\nR1hYGFxdXZnH8Gc9TVgV6uSxkUZ2aw7NmjVTbxVVfaNbt27NpepldnY2wsLCkJ6ejpCQEPzzn/9k\nmrAiIyOhVCpRXV0NX19f+Pj4YPjw4Vx6aldUVGD37t2IjY1FRkYGHj58iMTERLi5ucHAwIB5PIQ/\nAwMDmJubo0+fPjo/HbN4Y5ZaH2uWZJccpMLHxwdpaWmYM2cOfH190axZM437L730ErNYVC1LBUHA\nlStXsHTpUnh5eTErDTB+/HicOXMG77zzDnx8fDBkyBB07dpVb9Umyd+DFBrt1NTUqPtYZ2Zmcu9j\nzRIlB06srKw0TgED/11YUigUXD69A0BWVhYEQUBcXByz8gSOjo5o2bIlxo8fDx8fH7z88suwsbHh\n9j0g0lJZWan+WezatSu3shVS6GPNEiUHGXv77bdx6NAh3mEAqJtiUyWljh07Ijs7G1lZWejUqRPv\n0AgnT548QWhoKKKjozVOSAcGBmLFihUa64f6xLuPNS+UHCQkNzcXsbGxUCqV6uYm+tS3b1+kp6fr\n/TlPKy0tDYIgYPv27TA3N8epU6d4h0Q4+OSTT1BWVoaIiAh1uZmHDx9i7ty5aNWqFZMt6FLoY80L\nJQfO7t69q57vv3DhAhYuXIixY8fq7Er2rNnY2GDt2rWN3ud9vkAURZw4cYLJSVgiPd26dUNOTo7W\nYnRNTQ169uyps2Lrs2ZgYKDewCK3tq2UHDjZtGkTBEFAYWEhvL294e3tDU9PT6aLsCYmJhg9erTO\nQzQKhQLR0dHMYiGkoe7duyMnJ+ep75FnQ3bnHKRi+vTpGDFiBNavX6/ugsayVgtQ10SHEgCRKltb\nW2zZsgUBAQEa13/88UemnQrlipIDJ/n5+YiPj0dwcDCKiorg7e3NtCctwLaqJCFPa+PGjRg7diyi\no6M1urCpekgT/aLTRZyYmJjgo48+QnJyMg4dOoT27dujU6dO6NWrF0JDQ5nE8MMPP6i/rqqq0rh3\n5swZJjEAwKxZs9RfN1xkbNg/mMhH586dcfbsWSxatAhWVlawsrLCokWL8Msvvzz3O4WkgNYcJCYn\nJwdKpRKLFi3S+7Ok0jJVKnGQv4fy8nJ8+eWXmD9/Pu9Qnms0cpCY7t27M0kMgHQamTQVB5Gv/Px8\nBAcHw93dHfPmzcOjR48QERGBHj16UL0tBmjNQcak0siktrYWJSUlqK2tVX+tShJSac5E2AsICMCg\nQYPg4eGBn3/+Gb1798bAgQORmpoKMzMz3uE992haScak0sjEysoKBgYGjY4aqMaSPDk6OiIjI0P9\n2tzcHLdu3aJCjIzQyIGTmpoaVFRUoE2bNgDqFoAfP34MoO7ksupEqD5JpZHJjRs3mD2L/H2Ioqgx\nijQxMcGDBw/Ur1kWp5QjGjlwMnfuXJiamqr7wlpbW8Pe3h6VlZVwcnLCqlWrOEfIX15eHsLDw/H1\n11/zDoVw0NSIkmdxSrmgkQMnR44cwblz59SvX3jhBezZsweiKGLw4MFMYpBKI5NLly5h3rx5uHbt\nGuzs7LBu3TqsWbMGiYmJGttcibwkJyfD0tKSdxiyRcmBk9raWo3GPqqRgkKhwKNHj5jEcPr06SYb\nmbASFBSEKVOm4LXXXsOBAwfg4OCASZMm4fLly9zKMxP+vLy8aBszRzStxEmvXr3wyy+/aK0tPHjw\nAC4uLsjOztZ7DFJpZNJw4ZF6ORBAulWD5YJGDpxMnjwZ7733Hr755ht06dIFAHDz5k1MnToVkyZN\nYhJDs2bNMGLECIwYMULdyGTo0KHMG5lUVlYiPT1dPXIxMjLSeO3k5MQsFiIdd+7cwYwZMxq9DHuM\nhwAADn9JREFU/8UXXzCMRn4oOXAye/ZstG7dGq6urigvL4coimjbti0WLFiAqVOnMoujYSOTGTNm\nwMvLi9nzAcDMzAyzZ8/W+VqhUCApKYlpPEQaWrVqpa6pRNijaSUJKCsrAwAm21frk3MjEyJ9VDqF\nL0oOnGzZsqXJ+w3LFOuDVBqZJCQkaLxWKBTo0KEDHB0dmSdMIh0DBw5kWgCSaKLkwElwcLDO6z/9\n9BPu3LmDJ0+eMI6In8DAQK1rxcXFyMzMRFRUFIYNG8YhKsLbjRs38OKLL6J9+/YAgKNHjyIxMRGW\nlpaYPn06WrRowTnC5xslBwkQRRHbtm3DqlWrYGtri08//VTdAEjObt68CV9fX5w9e5Z3KIQDFxcX\n7Nq1C6+88goyMjIwfPhwLFy4EJmZmTA0NMTmzZt5h/hcowVpjp48eYKYmBisXbsWAwcOxI4dO9Cj\nRw/eYUmGpaUl8wZIRDoqKirwyiuvAKjr/jZx4kTMmTMHtbW1cHR05Bzd848qWHGyceNG2NraIi0t\nDT///DNiYmIoMTRw+fJlGBkZ8Q6DcFJ/UiMpKQlvvvkmAFDhPUZoWokTAwMDmJqaomPHjjoXgzMz\nMzlGx9aoUaO0SoQXFxcjPz8fP/74I1577TVOkRGeZs6cifz8fLz88sv46aefkJOTA0NDQ+Tn52PU\nqFFITU3lHeJzjZIDJzdv3mzyvpxqyiQnJ2u8VigUMDExQbdu3WjRUcZUpeTz8/Ph6+urbg2anp6O\noqIivP3225wjfL5RciDcvf322zh06BDvMMjfxIkTJ6BUKrFx40beoTzXaEGak7Zt2+rstsb6jIEU\n3Lt3j3cIROLS09MRGxuL+Ph4WFtbY9y4cbxDeu5RcuBEdSqaAKWlpVoH4eobO3Ysw2iIVOTk5EAQ\nBCiVSpiamsLHxweiKOLo0aO8Q5MFmlYi3JmYmGD06NGNNnWJjo7mEBXhzcDAAB4eHti4cSMsLCwA\nUMVelmjkwIlqWqn+G6JCocCTJ0/w+PFjWZ2QtrS0pARAtCQkJECpVMLNzQ3vvPMOfH19ufUckSPa\nMMxJWVkZHj58iLKyMpSVlSE/Px+ffvopzMzMMHPmTN7hMUW/8ESXMWPGQKlUIisrC25uboiIiEBh\nYSGmTp1KGxgYoGklzkpLSxEZGYktW7Zg/Pjx+OSTT2BiYsI7LKYyMzNRVlaGQYMGaVw/efIkzMzM\n8Oqrr3KKjEhNSUkJ4uPjERcXhyNHjvAO57lGIwdO7t27h4ULF8LJyQnNmzdHeno6wsLCZJcYACA0\nNBTt2rXTut6uXTvqIU00vPjii5gyZQolBgZo5MCJsbExOnbsiMDAQJ1lqes3v3ne9e/fH+fOndN5\nr3fv3rhw4QLjiAghtCDNSUhIiPqcg9y3tZaWljZ6r6KigmEkhBAVGjkQ7vz9/TFs2DBMnjxZ4/rm\nzZtx+PBhxMXFcYqMEPmi5MBJU43TAXk1Ty8oKICXlxdatGih7hmcmpqKx48fY9euXTAzM+McISHy\nQ9NKnFDj9P/q1KkTTp06haNHjyIrKwsA4O7uTh3gCOGIRg6Eu6SkJHUiuH79OqytrdX3EhISqHwG\nIRxQcuDE09Ozyfs//fQTo0j4c3Jywq+//qr1ta7XhBA2aFqJk9OnT8PCwgL+/v5wcXGR9Snh+n/3\nht8HOX9fCOGJkgMnv//+Ow4fPgxBEBAbGwt3d3f4+/vDzs6Od2jM1S9d3rCMua6y5oQQ/aNpJQmo\nqqqCIAgICQnB4sWLMX36dN4hMfXCCy/Azc0NoijixIkTcHNzA1A3akhJSUFJSQnnCAmRH0oOHFVV\nVWHfvn0QBAE3btyAp6cnJk6cqG6HKBcN24Q2NGTIEEaREEJUKDlwEhAQgKysLIwcORJ+fn6wt7fn\nHRI3H3zwAWJiYniHQQiph5IDJwYGBjA2NgagOa8uxzahtCOJEOmhBWlOamtreYcgGX/88QfS09Mb\n3Znk5OTEOCJCCI0cCHdt27ZF//79G20TmpSUxCEqQuSNkgPhrm/fvkhPT+cdBiGkHmr2QwghRAsl\nB8Ld6tWreYdACGmAppUId71799Z5Elq1cyszM5NDVITIGyUHwt3NmzebvG9packoEkKICiUHQggh\nWuicA+Gubdu2TU4ryelAICFSQSMHIim0rZUQaaDdSkRSqEQ3IdJAyYEQQogWWnMg3CUkJKi/Li0t\n1XgNgHpIE8IBrTkQ7gIDAxu9p1AoEB0dzTAaQghAyYEQQogOtOZAuFu3bh2ioqK0rkdFRSEyMpJD\nRIQQGjkQ7pydnXHmzBkYGhpqXH/8+DH69etH5TMI4YBGDoS7J0+eaCUGAGjRokWjDYAIIfpFyYFw\nV1tbi4KCAq3ruq4RQtig5EC4CwkJgbu7O5KTk1FWVoaysjIcO3YMHh4emDt3Lu/wCJElWnMgknDg\nwAGsXLkSWVlZUCgUsLOzw4IFC/Duu+/yDo0QWaLkQCTtjz/+QOvWrXmHQYjs0LQSkYSioiKcO3cO\nxcXFAIDy8nKEh4ejZ8+enCMjRJ4oORDuvvrqK9jb22PGjBmwtbXFhg0b4ODggKKiIpw9e5Z3eITI\nEk0rEe7s7Oxw4sQJvPTSS7h16xa6d++OkydPwtnZmXdohMgWjRwId0ZGRnjppZcAAF26dEGPHj0o\nMRDCGVVlJdzdvn0bM2bMUL/Oz8/XeP3FF1/wCIsQWaPkQLhbs2aNxmsaNRDCH605EMmqrKzEnj17\n4OPjwzsUQmSH1hyIpNTU1GD//v14//33YWlpibi4ON4hESJLNK1EJCE5ORmxsbE4cOAABgwYgJSU\nFFy/fp0OwBHCCU0rEe7Mzc1ha2uLoKAgeHh4wNjYGNbW1rh+/Trv0AiRLZpWItx5e3sjNzcXcXFx\n2Lt3L/744w8oFAreYREiazRyIJIgiiKOHTsGQRCwf/9+PHjwAFFRURg5ciTatGnDOzxCZIeSA5Gc\n6upqHDx4EIIg4ODBg7h37x7vkAiRHUoORNIqKirQqlUr3mEQIjuUHAghhGihBWlCCCFaKDkQSaM2\noYTwQdNKRNK6dOmCW7du8Q6DENmhkQORNPrsQggfVD6DcKdqDdqQKIqUHAjhhJID4c7Z2RkKhUJn\nIjA0NOQQESGE1hwIIYRooTUHIkm5ublYvnw57OzseIdCiCxRciCScffuXaxbtw79+/eHnZ0damtr\noVQqeYdFiCzRtBLhbtOmTRAEAYWFhfD29oa3tzc8PT2pZDchHFFyINy1aNECI0aMQFhYGBwcHAAA\nNjY2uHbtGufICJEv2q1EuMvPz0d8fDyCg4NRVFQEb29vVFdX8w6LEFmjkQORlNu3byMuLg6CIKC8\nvBxeXl4IDw/nHRYhskPJgXBXXV2t8zxDTk4OlEolFi1axCEqQuSNkgPhztTUFJ6envD398ewYcOo\nRSghEkBbWQl3ly5dQv/+/REWFgYLCwvMnDkTZ86c4R0WIbJGIwciKXfv3kV8fDyUSiUKCwvh5+eH\nFStW8A6LENmh5EAk59GjR0hISMC6deuQn5+PgoIC3iERIjs0rUQkobKyEvHx8Rg7diy6du2KpKQk\nrFy5Enfv3uUdGiGyRCMHwt348ePxn//8B0OGDIGfnx/c3d3RsmVL3mERImt0CI5wN2LECHz77bdo\n27at1r2CggJ06tSJQ1SEyBuNHIjklJaWYufOnYiNjcWlS5doaokQDmjkQCShoqICiYmJEAQBGRkZ\nePjwIRITE+Hm5sY7NEJkiRakCXfjx4+HnZ0djh8/jlmzZuH69et48cUXMXToUBgY0I8oITzQbx7h\n7uLFizA1NUWvXr3Qq1cvNGvWjE5JE8IZTSsR7jIyMpCdnQ1BEPDGG2+gY8eOKCsro8VoQjiiBWki\nOWlpaYiNjUV8fDzMzc1x6tQp3iERIjuUHIhkiaKIEydO0KI0IRzQtBLhbtmyZU3ep+RACHs0ciDc\nff7551rXysvLERUVhfv37+PRo0ccoiJE3ig5EEkpKyvD+vXrERUVBV9fX8yZMwempqa8wyJEdmgr\nK5GE4uJi/Otf/4KDgwOePHmCX3/9FatWraLEQAgntOZAuAsJCUFCQgKmTJmCCxcuoE2bNrxDIkT2\naFqJcGdgYAAjIyM0b95c4/CbKIpQKBR4+PAhx+gIkSdKDoQQQrTQmgMhhBAtlBwIIYRooeRACCFE\nCyUHQgghWig5EPIUDAwMEBAQoH5dU1ODjh07wtPTs8k/l5aWhlmzZuk7PEKeGTrnQMhTMDY2RlZW\nFqqqqmBkZITDhw/DwsLiT/+cs7MznJ2d//Jzampq0KxZs/8lVEL+JzRyIOQpjRw5Evv27QMACIIA\nf39/9b1z587h9ddfh7OzM1xdXXHlyhUAQHJyMkaNGgUAKCkpgZeXF/r06YPXX38dWVlZAIClS5ci\nICAArq6uGqMTQnig5EDIU1AoFPDz84MgCKiqqkJmZiZcXFzU93v16oWUlBSkpaVh6dKlWLhwocaf\nBYDFixfDyckJ58+fx4oVK/D++++r/51Lly4hKSkJ27ZtY/eXIkQHmlYi5CnZ29vjxo0bEAQB7u7u\nqH+OtLS0FAEBAbhy5QoUCgWePHmi9edTUlKQkJAAAHjjjTdQXFysrjzr6emJFi1asPmLENIEGjkQ\n8n/g6emJkJAQjSklAPjss88wbNgwXLhwAXv27EFlZeVT/XeNjY2fZZiE/J9RciDkKahGCRMnTsTi\nxYthZ2encf/Bgwfo3LkzAOD777/X+d8YPHgwfvzxRwDAsWPH0KFDByo2SCSHkgMhT0G1btC5c2dM\nnz5d6/68efOwYMECODs7o7a2VuefXbJkCdLS0tCnTx+EhoZiy5Yt+g+ckKdEhfcIYWDnzp3Yu3dv\no6MJQqSGFqQJ0bM9e/bgs88+Q3R0NO9QCPnLaORACCFEC605EEII0ULJgRBCiBZKDoQQQrRQciCE\nEKKFkgMhhBAt/w84+GzIuqzPfwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe8147898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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q1RCJRFi1ahWWLFmCLVu2PHYAjWluQElERAT33N3dHe7u7u1SJyGEdBRpaWlIS0tr1Wcf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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe2bc70b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10].plot.bar(x='Major', y=['Men','Women'], stacked=True)\n",
    "recent_grads[recent_grads.shape[0]-10:].plot.bar(x='Major', y=['Men','Women'], stacked=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe2af8c50>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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v2Id9+i9QRGRBl39xrquru+q2yz6t9P7779szkT766COOHDlCTk4OpaWlHDx4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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe2e08e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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O5K/YcyeaAnbs2IFDhw55vs1eEASsXbsWL7/88mQ3jfwUw52ISIb4gSoRkQwx\n3ImIZIjhTkQkQwx3IiIZYrgTEcnQ/wE2cAGOjTOc4gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe2a88b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot.box(y=\"Median\")\n",
    "recent_grads.plot.box(y=\"Unemployment_rate\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fbfe2c255f8>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VFCy63nul3zsFpOa/La5L965jURQ0dKNDV3/e/gP6tbkFQjD9o68wc/U+9umf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\n38FSG0ZG7AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe2c57b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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yZQAcDgdz5swxjrfZbDgcDiwWC8nJycb25ORkHA6HcUxKSgoAmqYRFxdHfX29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\nABBCiAj1/wP12RbkParhpwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbfe2d65e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "recent_grads.plot.hexbin(x='Men', y='Median', gridsize=25, reduce_C_function=np.max)\n",
    "recent_grads.plot.hexbin(x='Women', y='Median', gridsize=25, reduce_C_function=np.max)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   },
   "outputs": [],
   "source": []
  }
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