{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datascience import *\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plots\n",
    "plots.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lecture 7 ##"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Census ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>SEX</th> <th>AGE</th> <th>CENSUS2010POP</th> <th>ESTIMATESBASE2010</th> <th>POPESTIMATE2010</th> <th>POPESTIMATE2011</th> <th>POPESTIMATE2012</th> <th>POPESTIMATE2013</th> <th>POPESTIMATE2014</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>0   </td> <td>3944153      </td> <td>3944160          </td> <td>3951330        </td> <td>3963071        </td> <td>3926665        </td> <td>3945610        </td> <td>3948350        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>1   </td> <td>3978070      </td> <td>3978090          </td> <td>3957888        </td> <td>3966510        </td> <td>3978006        </td> <td>3943077        </td> <td>3962123        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>2   </td> <td>4096929      </td> <td>4096939          </td> <td>4090862        </td> <td>3971573        </td> <td>3979952        </td> <td>3992690        </td> <td>3957772        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>3   </td> <td>4119040      </td> <td>4119051          </td> <td>4111920        </td> <td>4102501        </td> <td>3983049        </td> <td>3992425        </td> <td>4005190        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>4   </td> <td>4063170      </td> <td>4063186          </td> <td>4077552        </td> <td>4122303        </td> <td>4112638        </td> <td>3994047        </td> <td>4003448        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>5   </td> <td>4056858      </td> <td>4056872          </td> <td>4064653        </td> <td>4087713        </td> <td>4132210        </td> <td>4123408        </td> <td>4004858        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>6   </td> <td>4066381      </td> <td>4066412          </td> <td>4073013        </td> <td>4074979        </td> <td>4097780        </td> <td>4143094        </td> <td>4134352        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>7   </td> <td>4030579      </td> <td>4030594          </td> <td>4043047        </td> <td>4083240        </td> <td>4084964        </td> <td>4108615        </td> <td>4154000        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>8   </td> <td>4046486      </td> <td>4046497          </td> <td>4025604        </td> <td>4053206        </td> <td>4093213        </td> <td>4095827        </td> <td>4119524        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>9   </td> <td>4148353      </td> <td>4148369          </td> <td>4125415        </td> <td>4035769        </td> <td>4063193        </td> <td>4104133        </td> <td>4106832        </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (296 rows omitted)</p>"
      ],
      "text/plain": [
       "SEX  | AGE  | CENSUS2010POP | ESTIMATESBASE2010 | POPESTIMATE2010 | POPESTIMATE2011 | POPESTIMATE2012 | POPESTIMATE2013 | POPESTIMATE2014\n",
       "0    | 0    | 3944153       | 3944160           | 3951330         | 3963071         | 3926665         | 3945610         | 3948350\n",
       "0    | 1    | 3978070       | 3978090           | 3957888         | 3966510         | 3978006         | 3943077         | 3962123\n",
       "0    | 2    | 4096929       | 4096939           | 4090862         | 3971573         | 3979952         | 3992690         | 3957772\n",
       "0    | 3    | 4119040       | 4119051           | 4111920         | 4102501         | 3983049         | 3992425         | 4005190\n",
       "0    | 4    | 4063170       | 4063186           | 4077552         | 4122303         | 4112638         | 3994047         | 4003448\n",
       "0    | 5    | 4056858       | 4056872           | 4064653         | 4087713         | 4132210         | 4123408         | 4004858\n",
       "0    | 6    | 4066381       | 4066412           | 4073013         | 4074979         | 4097780         | 4143094         | 4134352\n",
       "0    | 7    | 4030579       | 4030594           | 4043047         | 4083240         | 4084964         | 4108615         | 4154000\n",
       "0    | 8    | 4046486       | 4046497           | 4025604         | 4053206         | 4093213         | 4095827         | 4119524\n",
       "0    | 9    | 4148353       | 4148369           | 4125415         | 4035769         | 4063193         | 4104133         | 4106832\n",
       "... (296 rows omitted)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full = Table.read_table('nc-est2014-agesex-res.csv')\n",
    "full"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>SEX</th> <th>AGE</th> <th>POPESTIMATE2010</th> <th>POPESTIMATE2014</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>0   </td> <td>3951330        </td> <td>3948350        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>1   </td> <td>3957888        </td> <td>3962123        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>2   </td> <td>4090862        </td> <td>3957772        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>3   </td> <td>4111920        </td> <td>4005190        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>4   </td> <td>4077552        </td> <td>4003448        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>5   </td> <td>4064653        </td> <td>4004858        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>6   </td> <td>4073013        </td> <td>4134352        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>7   </td> <td>4043047        </td> <td>4154000        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>8   </td> <td>4025604        </td> <td>4119524        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>9   </td> <td>4125415        </td> <td>4106832        </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (296 rows omitted)</p>"
      ],
      "text/plain": [
       "SEX  | AGE  | POPESTIMATE2010 | POPESTIMATE2014\n",
       "0    | 0    | 3951330         | 3948350\n",
       "0    | 1    | 3957888         | 3962123\n",
       "0    | 2    | 4090862         | 3957772\n",
       "0    | 3    | 4111920         | 4005190\n",
       "0    | 4    | 4077552         | 4003448\n",
       "0    | 5    | 4064653         | 4004858\n",
       "0    | 6    | 4073013         | 4134352\n",
       "0    | 7    | 4043047         | 4154000\n",
       "0    | 8    | 4025604         | 4119524\n",
       "0    | 9    | 4125415         | 4106832\n",
       "... (296 rows omitted)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Keep only the columns we care about\n",
    "partial = full.select('SEX', 'AGE', 'POPESTIMATE2010', 'POPESTIMATE2014')\n",
    "partial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>SEX</th> <th>AGE</th> <th>2010</th> <th>2014</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>0   </td> <td>3951330</td> <td>3948350</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>1   </td> <td>3957888</td> <td>3962123</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>2   </td> <td>4090862</td> <td>3957772</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>3   </td> <td>4111920</td> <td>4005190</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>4   </td> <td>4077552</td> <td>4003448</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>5   </td> <td>4064653</td> <td>4004858</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>6   </td> <td>4073013</td> <td>4134352</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>7   </td> <td>4043047</td> <td>4154000</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>8   </td> <td>4025604</td> <td>4119524</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>9   </td> <td>4125415</td> <td>4106832</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (296 rows omitted)</p>"
      ],
      "text/plain": [
       "SEX  | AGE  | 2010    | 2014\n",
       "0    | 0    | 3951330 | 3948350\n",
       "0    | 1    | 3957888 | 3962123\n",
       "0    | 2    | 4090862 | 3957772\n",
       "0    | 3    | 4111920 | 4005190\n",
       "0    | 4    | 4077552 | 4003448\n",
       "0    | 5    | 4064653 | 4004858\n",
       "0    | 6    | 4073013 | 4134352\n",
       "0    | 7    | 4043047 | 4154000\n",
       "0    | 8    | 4025604 | 4119524\n",
       "0    | 9    | 4125415 | 4106832\n",
       "... (296 rows omitted)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make things easier to read\n",
    "simple = partial.relabeled(2, '2010').relabeled(3, '2014')\n",
    "simple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>SEX</th> <th>AGE</th> <th>2010</th> <th>2014</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>0   </td> <td>3951330</td> <td>3948350</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>0   </td> <td>2018420</td> <td>2017857</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>0   </td> <td>1932910</td> <td>1930493</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>1   </td> <td>3957888</td> <td>3962123</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>1   </td> <td>2020332</td> <td>2023253</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>1   </td> <td>1937556</td> <td>1938870</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>2   </td> <td>4090862</td> <td>3957772</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>2   </td> <td>2088685</td> <td>2022502</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>2   </td> <td>2002177</td> <td>1935270</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>3   </td> <td>4111920</td> <td>4005190</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (296 rows omitted)</p>"
      ],
      "text/plain": [
       "SEX  | AGE  | 2010    | 2014\n",
       "0    | 0    | 3951330 | 3948350\n",
       "1    | 0    | 2018420 | 2017857\n",
       "2    | 0    | 1932910 | 1930493\n",
       "0    | 1    | 3957888 | 3962123\n",
       "1    | 1    | 2020332 | 2023253\n",
       "2    | 1    | 1937556 | 1938870\n",
       "0    | 2    | 4090862 | 3957772\n",
       "1    | 2    | 2088685 | 2022502\n",
       "2    | 2    | 2002177 | 1935270\n",
       "0    | 3    | 4111920 | 4005190\n",
       "... (296 rows omitted)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sort by age\n",
    "simple.sort('AGE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>SEX</th> <th>AGE</th> <th>2010</th> <th>2014</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>999 </td> <td>157257573</td> <td>161920569</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>999 </td> <td>152089484</td> <td>156936487</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>999 </td> <td>309347057</td> <td>318857056</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>100 </td> <td>45058    </td> <td>58468    </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>100 </td> <td>9351     </td> <td>13729    </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>100 </td> <td>54409    </td> <td>72197    </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>99  </td> <td>26074    </td> <td>32791    </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>99  </td> <td>6104     </td> <td>9037     </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>99  </td> <td>32178    </td> <td>41828    </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>98  </td> <td>37533    </td> <td>46536    </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (296 rows omitted)</p>"
      ],
      "text/plain": [
       "SEX  | AGE  | 2010      | 2014\n",
       "2    | 999  | 157257573 | 161920569\n",
       "1    | 999  | 152089484 | 156936487\n",
       "0    | 999  | 309347057 | 318857056\n",
       "2    | 100  | 45058     | 58468\n",
       "1    | 100  | 9351      | 13729\n",
       "0    | 100  | 54409     | 72197\n",
       "2    | 99   | 26074     | 32791\n",
       "1    | 99   | 6104      | 9037\n",
       "0    | 99   | 32178     | 41828\n",
       "2    | 98   | 37533     | 46536\n",
       "... (296 rows omitted)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sort by age (another way)\n",
    "simple.sort('AGE', descending=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Line Plots ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove the age totals\n",
    "no_999 = simple.where('AGE', are.below(999))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove male and female (keep only combined)\n",
    "everyone = no_999.where('SEX', 0).drop('SEX')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>AGE</th> <th>2010</th> <th>2014</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>3951330</td> <td>3948350</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>3957888</td> <td>3962123</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>4090862</td> <td>3957772</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3   </td> <td>4111920</td> <td>4005190</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4   </td> <td>4077552</td> <td>4003448</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5   </td> <td>4064653</td> <td>4004858</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6   </td> <td>4073013</td> <td>4134352</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7   </td> <td>4043047</td> <td>4154000</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8   </td> <td>4025604</td> <td>4119524</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9   </td> <td>4125415</td> <td>4106832</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (91 rows omitted)</p>"
      ],
      "text/plain": [
       "AGE  | 2010    | 2014\n",
       "0    | 3951330 | 3948350\n",
       "1    | 3957888 | 3962123\n",
       "2    | 4090862 | 3957772\n",
       "3    | 4111920 | 4005190\n",
       "4    | 4077552 | 4003448\n",
       "5    | 4064653 | 4004858\n",
       "6    | 4073013 | 4134352\n",
       "7    | 4043047 | 4154000\n",
       "8    | 4025604 | 4119524\n",
       "9    | 4125415 | 4106832\n",
       "... (91 rows omitted)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "everyone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "everyone.plot('AGE', '2010')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ^^ That plot should be labeled! Here are 3 ways to label it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# US Population  <--- Just add a comment\n",
    "\n",
    "everyone.plot('AGE', '2010')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "US Population\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "everyone.plot('AGE', '2010')\n",
    "print('US Population')  # <--- Print out what it is"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdoAAAExCAYAAADbZ2PuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOzdd1RUxx4H8O+l995FwIIgIHYQFRWsiIKIxthLDMYSWzRqTIx5miCJsSuJiRo1xgIWxNgFFZFqAwEFCyjSpCy9s+8PwuJlEVB22QV+n3Ny3tm5c+/9MfL47cydmctwOBwuCCGEECIUEqIOgBBCCGnLKNESQgghQkSJlhBCCBEiSrSEEEKIEFGiJYQQQoSIEi0hhBAiRJRoCSFiydnZGWpqakK/j5qaGpydnYV+H9J+UaIlRACCgoKa9AdbTU2t3uSRm5sLT09PDBkyBIaGhtDR0YG5uTkcHR2xZs0ahIeHNzmWmnvU/KehoQFjY2OMGTMGhw4dQmVl5Qf/fK2ZmpoaevToIeowSDsmJeoACGnv0tLSMGbMGCQmJsLY2Bju7u7Q0NBAamoqnj17hj///BNlZWWwsbH5oOuuWbMGAFBZWYmXL1/iwoULCA0Nxc2bN3H48GFh/CitUnh4OOTl5UUdBmnDKNESImI//fQTEhMTMX36dOzZswcMw7COZ2Zm4uXLlx983XXr1rE+x8TEYMSIEfDz88Pdu3cxcODAZsXdVnTr1k3UIZA2joaOCRGxsLAwAMCCBQv4kiwAaGlpoX///s2+j6WlJQYNGgQAuHfvHuvYo0ePMHv2bJiamkJbWxuWlpZYvHgxEhMT+a7j6ekJNTU1HDt2DJcvX8bIkSNhYGAAExMTzJkzp94vBQ09b60Zdvf09Gz0ZygrK8P+/fsxadIkWFlZQUdHB8bGxnBxccGVK1fqvS4AvH79mjWcvnDhQl699w355+XlYdOmTejfvz90dXVhZGSEcePGwd/fn69uUlIS7zpZWVlYtmwZzMzMoKOjgwEDBuDIkSON/myk7aIeLSEipqGhAQB4/vw5rK2tW/z+ly9fxqxZs1BVVYXx48ejU6dOiImJwbFjx3DhwgWcP38ePXv25DvP398f169fx/jx42Fvb4+oqCicO3cOQUFBuHr1Krp06SLwWHNycrB27VrY2trCwcEBWlpaSEtLw8WLFzFlyhTs2LEDc+bMAQAYGRlhzZo18PLygoqKCiu5NvbMlsPhYMyYMXjy5Amsra3xxRdfIDc3F+fOncPMmTPx9ddf45tvvuE7Lzc3F6NHj4aMjAxcXFxQWloKPz8/LF26FBISEpgxY4ZA24O0DpRoCRGxiRMnIiQkBEuXLsW9e/cwdOhQ9OzZEzo6OgK9T1xcHIKDgwEAffr0AQAUFBRg0aJFKC8vh5+fH4YMGcKrf+TIESxduhRffPEF7t69y9fbvnz5Mk6ePInRo0fzynbv3o3vvvsOq1evxpkzZwQaP1Dd+4yOjkaHDh1Y5RwOB6NHj8bGjRsxZcoUyMvLw9jYGOvWrYOXlxdUVVX5htIbsnHjRjx58oRvOH/16tVwdHTEL7/8gtGjR6Nv376s8x4/fow5c+bg119/haSkJABg0aJFGDRoEHbt2kWJtp2ioWNCRGz+/PlYuXIlysvLsWfPHkyePBndunWDpaUlFi1ahMjIyI+6rqenJzw9PbF582Z8/vnncHBwQHFxMcaNG8cbQr548SKys7Ph6urKSrIAMGvWLPTq1QtxcXH1znoeMmQIK8kCwMKFC2FoaIiAgACkpKR8VNwNkZWV5UuyQHUCnjFjBjgcDu7fv9+se5SXl+PUqVNQUFDADz/8wPqC0aFDB6xcuRJcLrfe4WAFBQVs3ryZl2QBwNzcHAMGDEB8fDzy8/ObFRtpnahHS4iIMQyDDRs2YOnSpQgICEBERARiYmIQHh6Of/75B8ePH8c333yD1atXf9B1vby8eNdXVlZGz549MXnyZN7QKlD9bBYAX5KtMXToUDx8+BCPHj2Cra0t61hNsn6XlJQUbG1tkZycjKioKBgYGHxQzE0RFxeHXbt24e7du0hLS0NpaSnreGpqarOuHx8fj6KiIvTr1w9aWlp8x4cNGwagtu3e1aVLFygpKfGV13w5yM3NhbKycrPiI60PJVpCBEBConpwqKqq6r11ao7VN+EJqO6VTZw4ERMnTgQAFBcXY9u2bfjll1/w448/YsyYMR+0HpTD4TRaJy8vDwDeO0ytq6vLqveu952jra393nOaKyIiAi4uLqioqMDQoUPh5OQEZWVlSEhIIDo6GhcvXuRLvB+qOW2ioqJS7zk1Pdz2toaZVKNES4gA1PyBzcnJeW+drKwsAICqqmqTrikvL4/169cjKCgIoaGhuHXrlsA3XqiJOyMjo97j6enprHrvet85b9++5Tun5otIRUUFpKTYf3Zyc3ObHO/WrVtRXFwMf39/2Nvbs45t27YNFy9ebPK13qc5bUJIfegZLSECYGpqCllZWTx79oyXUOsKDQ0FAFhZWX3QtWuGGrlcbvOCrEfNbOKgoKB6j9++fRsA0KtXL75jNROr3lVRUcFbrvTuDOqaZTbJycl85zx48KDJ8b548QLq6up8SfZ98QDVSb6hkYa6unXrBgUFBcTGxtb7b3nr1i0A9bcJIfWhREuIAMjJyWHixImoqKjA+vXr+f6w5+Tk8NaJTp8+nXVs165diIuLq/e6ISEhvCRY3zPR5nJ2doaGhgb8/Pz4EtWxY8fw4MEDdO/evd51vLdv3+Zbu+rt7Y3k5GQ4ODiwns/WnH/w4EFW/aioKPz2229NjtfIyAg5OTl4/Pgxq/zIkSO4ceNGvedoamoiMzMTxcXFTbqHtLQ0pkyZgqKiIvzwww+sLzipqanYvn07GIahGcSkyWjomBAB+fHHH/HgwQOcOHECERERcHR0hKqqKlJTU3Hx4kXk5OTA3d0dn376Keu8U6dOYcOGDejWrRv69esHPT09FBYW4smTJ7h9+za4XC4WLlzIW5IjSIqKiti3bx9mzZqFCRMmwMXFBSYmJnj8+DGuXr0KVVVVeHt71/tc2cnJCdOnT+edExUVhevXr0NDQwNbt25l1a1ZJrNr1y7ExMTA0tISiYmJuHTpElxcXHD69Okmxbtw4ULcuHEDTk5OmDBhAlRUVPDgwQOEhobC1dUVfn5+fOc4ODjg1KlTcHd3x8CBAyErKwsrKys4OTm99z7ff/89QkJCcOTIEURFRWHYsGG8dbQ5OTn4+uuv0a9fvybFTAglWkIERENDAzdu3MD+/fvh7++PkydPoqioCKqqqujVqxemTZuGyZMn8523d+9eXLt2DUFBQQgODkZGRgaqqqqgo6OD8ePHY+bMmRg5cqTQ4h4zZgyuXr2Kbdu24datW/Dz84O2tjamTp2Kr7/+GiYmJvWeN27cOMyZMwdbt27F5cuXIS0tDVdXV3z//ffo3Lkzq66mpib+/fdfbNiwAcHBwbh79y4sLS1x6NAhqKqqNjnRjhgxAidOnMDWrVtx9uxZSEhIoG/fvvD390diYmK9iXbLli2QkJBAYGAgwsLCUFlZialTpzaYaNXU1HDlyhXs3LkT58+fx759+yArKwtra2ssWLAALi4uTYqXEABgOByO4B/8EELaLE9PT3h5eWHv3r18w+CEEH70jJYQQggRIkq0hBBCiBBRoiWEEEKEiJ7REkIIIUJEPVpCCCFEiCjREkIIIUJEiZYQQggRIkq0rUxCQoKoQxAr1B78qE3YqD3YqD34CbtNKNESQgghQkSJlhBCCBEiSrSEEEKIEFGiJYQQQoSIEi0hhBAiRPSaPEKIQFVVVeHpi2QwDAOzzob1vsuWkPaEEi0hRGASk9Ox//hFPE9KBQCMHdYfsycJ7126hLQGlGgJIc1WWlaO05fuwP9GKKqqardPv3gzAsPsesK4g44IoyNEtOgZLSGkWdLeZmOd10H4XQthJdkapy8FiSAqQsQH9WhJq/EsMQUHfa4gI5MDGRkpyMpIo6y0GONGDIbTsP6iDq9din+ZjF9+90FeQfF764Q9fIrE5DSYGOq1YGSEiA9KtKRVSExOw497/0FRcVl1QeF//1NYiL98r0FNRQl2fbqLLsA2rKS0DPkFRSgoKkF+YTGqqqogISGBjMwc/HX6GsrLK1n1NdWVISsjjZT0bF6Zz8UgrPaY3NKhEyIWKNESsZeakY2f9p6oTbL1+DcgjBKtgL3N4mDnoXNISExp8jmD+1ngsylOePL8Fbx+8+GVR0Yl4OXrNHTqSL1a0v7QM1oi1rI5+fhx73Hk5hc1WC8hMQWJyWktFFXbV1Jahp/3+3xQknV3GoQls12hIC+L3pZd0dVEn3X82LkAvEnLBJfL/xyXkLaMEi0RWyWlZfhp73G8zcpllTs72mDPD4tg1c2YVX416H5Lhtdmcblc7Dvqj1dv3japvqSkBBbNGIdPnIfy1swyDIPJY4ew6kU/TcTKzfuxYP0u7Dvqj5T0LIHHTog4oqFjIrZOXbiF16mZrLJhA6wx0204GIbBmKH9EPYglnfsTsRjTHd1hKKCXEuH2qacvnQHYQ+fsspUlOShpqoEFUUFSEhKgFvFRVVVFeTlZeEywg5mnQ35rtOze2eYmhjw9Ypz8wpxKywadyJjMMq+DyaOGQwVJQWh/kyEiBIlWiKWEl6+wcWbEayyftam8JjqxOs19bHqCjUVBdTMxSktq8Dt8GiagdwM4Y+ewuciezmOiaEuflgxE3KyMh90LYZhMNt9JDbuPIqKiiq+45WVVbh0MxK3wqLgMdWZnrGTNouGjonYKS+vwG/HLuDdR3namqr4crYrJCUleWWSkpKw69WNde71O/fpGeBHKi+vwJ8nLrHKVJTksepz9w9OsjVMO3XAr+s9MNVlGHp27ww5WWm+OkXFZdh92A+vUjI+6h6EiDtKtETsnLt6F8lp7Od3HlPH1vvH3rZnN0hK1v4aJ6dlITbhldBjFEfFJaW4FRaNpy9TPurLRtzz16xJZ5KSEljx2URoa6o1Ky49bQ1MGDUQ3yz+FAe8VmLpHFdoa6qy6lRWVuHs5eBm3YcQcUVDx0SsvHiVinPX7rLKhg2whrV5p3rrqyoroL91N4Q+eMIruxAQBgtTo3a1mX1icjp+/v0UsnLyUVhYCAlpeYx1sPmgazyMfc76bN/fChamxu+p/XGkpCQxqJ8lbHqa4ezVYJy+VJtcQx7EwT3NHoZ6WgK9JyGiRj1aIjYexj7H/3YdYz3PU1NRxMyJwxs8b6R9H9bn+4+fIeDuQ6HEKI7uRSfg++1HkJWTzys7eyUYlZWVDZzF72EMO9H2seoqkPjqIy0thcljh8CogzavjMutjpuQtoYSLRELl29FYov3SRSXsDelmPfJaCgpyDd4rqWpMboYs9ds/uV7Da9Tm7Y8pTX7NzAcv+z3QUlpOas8r6AYsc+aPoT+NouDN+8st5GUlIBVNxNBhVkvhmHgPmYwqyw4MoaW/ZA2hxItESkul4ujZ2/gkM9V1H2s6OzQH7a9zBu9BsMwWDLLhTXRpqy8AjsOnEFpWXkDZwpGwss3OHjqCgLuPmzRiVgPY5/jyOnrfO1W493h9MY8qDNsbNbZsEWWSdn2MoehnibvM5db/YyekLaEEi0RqXNX7+LCjTBWGcMAcyaNxMyJI5p8HQNdTcz7ZAyrLDkt678EXn8myubkY+9Rf3is24EdB8+gpPT9Wzy+T2xCEr7fcRRXbt/D7/9cbNEh60t1lj/VFfHoaZOHj+s+n+3VvfNHx/UhGIbBxDq92qCIx7gVGoWycuF/SSKkJVCiJSITcPchTvjfYpXJyUrj6wWT4TSs/wdPZhpq2wNDbHuwygJDHuHw6WusZFtZWYlLNyOwcvPvuB0Wjdz8IoTcf4Jj5wIavH7dhJ2Vk4cdB8+isrL2mXJASMsk2pLSMsQkJLHKls9zg6KCLO9zbn4R4p6/bvRa5eUViIlnX6unRRfBBNoEdn26w0BXg/e5qoqLfX9fwML1u3HY9xpy8wtbLBZChIFmHRORiIyKx/7jF1lligqy2LB0erNep/bZJ6OR8DIZqRk5vLJLNyNRVFyK6RMcEf7wKa4F30dSMv+azWt37mPE4D68l5Q/ef4aQRGPkZaRjdS32cjm5ENbQxWjhvSFg11PbD9whm8P5udJqcjNL4SqsuJH/wxNEfXkJeutObpaahjQ2xz3Y57hUkAorzz0flyjz1rjnr9mPeNVV1Vq0Re1S0hIwG30IOw94s8qLygqwcWbEYh99gpb1sxrV7PISdtCPVrS4p6+SMbOQ+dYzxZlpKXw9YJPmv3OUjlZGaz4zB1KdZ4v3gqLhse6nfjz5OV6kyxQ/XzwyH+937NXgvH99qO4fucBHscnISsnH1wukJGVi7/PBmDBNzvr3XCfy63e01fYIqPiWZ/79TAFwzCw681+ph3+6Cmqqvh3ZXrXw5hnrM+9LLq0eFKz72/FNxpRIzE5HfeiE1o0HkIEiRIt+WB5BUV4npTywctHgOpX3v3yuw/Kyit4ZQwDLJs7AeZdOgokPuMOOtiwbAZUVRrvVcpIswd1HscnYfuBM3xD2nXVt6VgjbrPOwWtqqoKD+okxz49TAEAPcw6sSaF5eYXNTr7+GHsC9bn3pYtN2xcg2EYLJ45Hr9+6wFnRxsoK7Jnmv8bGN7iMREiKJRoyQe5HR6NJRv24Jtf/sI3v/yFnNz8xk/6T15BEbZ4n0R+YTGr3GPqWPSz7vaesz6OcQcd/G/FTL4diN41qK8Fdm1ciB7mJqzyuhvqN+bd56IAEBX3QqizjxMSU5BXUNuGigqyMO9c/SVFWloKVqbsLyxhDcw+FsWynoYY6mlh1sQR+PbLaazy2IRXePEqVURREdI8lGhJk3C5XPzjF4i9R/xRWlbdG01MTsfGHX8jMzu3kbOB0rJy/PK7D9Le5rDKJzkNhuPAXkKJWU9bAz8snwkjg9pNETroamLKuCHY+f0XWDp3AtRVlTHbfSQkJOofKpWVkcLiWeOx7VsP/Pbjl5gwyo7VY5STlcaGpdOhIF+7PWRufpFQk0JkNHvYuLdFF0hJ1e4B3as7exetsEdPUf7OCEINLpeLU3VeINBSy3oaY2Koix5mJqyyurPTCWktaDIUaVRxSSl2H/bDvehnfMfS3uZg486/8e2SqdDTrp05WllZifzCErxKyUBwZAwiop6isKiUde5Q2x6YNNZeqLFrqqtgy5p5iHv+GipKCuior833/LGjvjZGD+mLSzcjWeUy0lJY88UUWL7z3tupLg5wdrTF7fBoZOfkYdSQvtDT1kAPs06snvDD2BfoYmwglJ/pXhT7eWUfK1PWZ7NOBlCQl0FRcfVypdy8Quw5ch7L5k6AhETtd2vfi0G4HRZd51rC2w3qQzk72rCed4c8iMM0Vwdoabx/lIIQcUSJtg3JzS/Eo7gXeBT3AhmZHFh2M8aYof2h1oRnle9TUVEJz30n8fRF8nvrvM3KxcrN+yEnKw1pKSlUVVUhv7D4vRspAIBVN2N4TB3bIpNuJCUlGx0OdXeyx52IGN6wtrS0JFYvmMxKsjVUlBQwztGWVdbLogsr0T6KewF3p8F1T222lPQsvqHeXnWW4khJSWJgX0tcv/OAVxb64AmUFK9g/pQxYBgGgSEP4XvpDus8XS01DB/YW+Axf6xeFl1gqKfJe8FEVRUXl25FYqZbw1tyEiJuKNG2AS9fp+GQz1XEv0xmJbf4l29wISAMQ22tMcq+Lwz1NFmvmQOqhw8bSnbH/W/yJVk1FUV06qiHB+/sjVtZWfVfj7UUjemor4WV891Zw52ipqwoj3WLpuCgzxUAwHRXxw/aUL9nnQ0e4l8mI7+wmG9ST3Pde8zuzVp0Nap3qHfKuKGITUhCSno2r+z6nQdIz8xBaWk5niWxZ0xX//yfQkFetu6lRIZhGDg72uL3f2qXgQXcfQD3MYPFKk5CGkOJtpUrKS3Dz7/7IJtT/6Sk8vJKXL/zANfvPIC0tCQ66GpBQ00ZObn5yObkI7+wGIZ6Whg6wBpDba1ZieH+4wS+52Imhrr4esFkqKko4rd/LvINPTZEVVkBg/tZwt3JXiyeA9bVxdgAP66a+1HnaqqrwKiDNl69qd5fmcsFop+8xMC+FoIMEfcfs4fv+/YwrbeeipIC1i+eig11XjYQ/SSRr66MtBS+/mIy9HU0+I6J2uD+ljjhf5O3XrmouAzX7tyH60g7EUdGSNOJdDLUr7/+CjU1NaxevZpXxuVy4enpCXNzc+jp6cHZ2RlxcXGs8zgcDjw8PGBkZAQjIyN4eHiAw+Gw6sTExGDs2LHQ09ND9+7d4eXlxTcT1M/PD7a2ttDR0YGtrS38/dkL5gUVizBduBH23iRbV3l5JRKT03H/8TO8fJ2O3PwiVFVx8SrlLY6euYGF3+7CrkPncCs0Ck9fJGPf0Qus8zXVlfHtl9Ogqa4CSUlJLJoxDi4jB/AtkamhrCiPDrqaGDbAGt8s/hTem7/ELPeRYplkBaFur1bQy3zeZnEQV2epzvsSLQBoaajim8VTG+xVMwywZLYLunUyFFicgiQjLY1R9n1ZZf7XQ1Fc0vjICSHiQmQ92oiICBw+fBiWlpas8p07d2Lv3r3Yu3cvTE1N8fPPP8PNzQ0RERFQVlYGAMyfPx/Jycnw8fEBwzBYunQpFixYgJMnTwIA8vLy4ObmhoEDByIgIAAJCQlYvHgxFBQU8OWXXwIAwsPDMW/ePKxbtw7jx4+Hv78/5syZgytXrqBfv34Ci0WYcnLzcf56CKuso74W+ll3g6KCHK7cvoe3WY3PCK5RXl6J4HuxCL4Xy3dMQoLBsrlurD/aDMNguqsjprk4oKy8AmXlFaioqJ7dqqyoIFZDwy2hl0UX+F+vHQG4F52AtLfZrElizXHj7kPWo4HORnrQaeSl7IZ6Wli7cAo27T7G94YfJQU5zJw4vEkvbhCl0UP74d/AMN7krvzCYly5fQ8TRg0UcWSENI1IEm1ubi4+//xz7N69Gz///DOvnMvlwtvbG8uXL4erqysAwNvbG6ampvD19cXcuXPx9OlTXL9+HZcvX4atbfWElO3bt8PJyQkJCQkwNTWFj48PiouL4e3tDXl5eVhYWCA+Ph779u3DkiVLwDAMvL29YW9vj1WrVgEAzMzMEBQUBG9vbxw4cEBgsQjTyQu3eUttgOqh2f+tnM17fuU0tD9CHsThdng0kpLT+bYL/BCfjhsKs87193oYhoGsjDRkZaTrPd5emHfuCHk5Gd6r/gqKSvC/XcewYen0ZifbiopKBIY8YpWNGNS0iUtdTQzw87r5CH3wBLIy0jDQ1YS+tjq0NFRbxbaGyorycBrWn/WSeP/roRhl35ee1ZJWQSRDxzXJa+jQoazypKQkpKenw9HRkVcmLy+PgQMHIiysuqcQHh4OJSUlXmIDgAEDBkBRUZFVx87ODvLytb2v4cOHIzU1FUlJ1ZunR0REsO5TU6fmGoKKRVgSk9NwM5T9h3fSWHvWHx4pKUnY97fC+sVTsd9zOfZ7LsN3S6dh5fyJ+N/KWdi3aQl++/FLTHMZBp0GNnbo2b0zXOiZWKOkpCTh7GDDKsvKycf/dh1DembOe85qmnuPE8DJq91cX15OBoP6WTZwBpuuljpcR9phzNB+sDbvBG1NtVaRZGs4O9iyNgYpKCpp9O1FhIiLFu/RHj58GC9evMDvv//Odyw9PR0AoK2tzSrX1tZGamr1BgAZGRnQ1NRk/ZFgGAZaWlrIyMjg1TEwMOC7Rs0xExMTpKen13ufmmsIKpb6JCR83L6tXC4X1+9G4czVMMQnpqCgoPYPr66WKoy0lRq9tiwDyCpKApXFyM6sXspi0Ukb3U1G4vmrNDx7lYaXrzOQ+CYDZeWVMOmgDadBFnj2jH8Nrbj42PYUBuuuuojtooeIqNrns4WFhVi2cQ+G2VhgYG9zyMvJ8J1XVVWFtEwOFOXloKqswHf85PnrKCys/ffuZWaI16+S+OrVEKc2EZS+3Y1w6Xbt25FOnL8OU0P1etuzrrbYHs1B7cGvOW3S2OhliybahIQE/O9//8OlS5cgI/P+/3PU/aZddwlKfd/EG6tTMxGqsTp1ywQRS13NGVJev/0fSEhWt52iYu362MWz3WBu3ryh6m7dardBrKioRHFpGZQU5MS659MSQ/Qf6jtTU+z7+wKCwh/zyrgAAsOfIuTRC4y074NPnIdARrp6qL28vAK//nkaD2KeQ05WGis+m8haG5v2NhtvMvJY/95T3UbDxFC33vuLY5sIQgdDI9yPe42CohJe2ZNXmfjEeWgDZ7Xd9vhY1B78hN0mLTp0HB4ejqysLNjZ2UFTUxOampoIDg7Gn3/+CU1NTWhoVD/HqtsbzMzM5PUsdXR0kJmZyZpBzOVykZWVxapT3zWA2h6qrq5ug/fR1dUVSCyCVt8M0h5mJuhtKdgdfaSkJKGsKC/WSVZcSUhIYNGMcbC3seI7VlJaDv/rYdj25xne783FmxG8NcklpeXYd9SftR/09eAHrGt069ThvUm2LVOQl8W44eyNQi4GRvDtnU2IuGnRROvs7Iy7d+8iKCiI91/v3r3h7u6OoKAgdO3aFbq6uggMDOSdU1JSgpCQEN5zUBsbGxQUFCA8vPZtHuHh4SgsLGTVCQkJQUlJ7TffwMBA6Ovrw9i4ehOC/v37s+5TU6fmGsbGxgKJRdDqvv5NRUke8z4ZTQlRzNQkW3enQay9kWs8iHmOgLsPkZObjzOX2Ts05eYX8V5CX1ZejluhUazjIwb3EV7gYm7M0H6sL5vFJWXwvx7awBmEiJ7k2rVrN7bUzeTk5KCtrc36z8fHB0ZGRpg+fToYhkFlZSW2b9+Orl27orKyEuvXr0d6ejp27NgBWVlZaGlpITIyEr6+vrC2tsabN2+wYsUK9OnTBwsWLAAAdOnSBYcOHUJ0dDRMTU0REhKCDRs2YPny5bwEqK+vj59++gnS0tLQ1NTE4cOHcezYMezcuRMGBgYCi0XQODkc9OvVHfY2Vhhl3xcz3YZDXVVZKPdqDbKzs6GpqSnqMOrFMAwsu5lgpH0fKMjJ4nVaJkrfWWIT++wVEul3kzEAACAASURBVJPTeVsMvisxOR1djPTwl+81vE7N5JUrKcjhixnOfDt8vUuc26S5pKWkwEgwiHryklf28nUaHAf2hJxs/Y+j2nJ7fAxqD37CbhOx2xlq2bJlKC4uxurVq8HhcNC3b1+cOXOGt24VAP744w+sWbMGEydOBAA4OTmxlgmpqqri7NmzWLVqFRwcHKCmpobFixdjyZIlvDq2trY4ePAgNm/eDE9PT3Tq1AkHDx7kraEVVCyC1q9HF3q+0sooKcjDbfQgDOpnidU//cFbz1pcUsb3Lth3ef3mw1c21LYH79luezXKvi8u3AjjzcIuK6+A39UQzJ40UsSREVI/hsPhCO/FmUTgaCIDW2trj6tB93Dg5JV6j2mqK7O2S6zLQFcDm76aDSWFhvdPbm1t8jEu34rEIZ+rvM9SUhLY9f0iaKqr8NVtD+3xIag9+LWpyVCEtHcjB/eBVT1vBAKAJbNcMHxQ/e/m7Wqij43LZzaaZNuL4QN7QVO9dmSpoqIKZ64EN3AGIaJDiZaQFsQwDBZMd+abIDWorwUsTI0xzdUBqnVea9jbsgu++3I6VJU//nWHbY20tBQmObHfZRwY8givU9+KKCJC3o8SLSEtTEdTDfMmj0bNRHFNdWXM+O8dq0oK8lg+dwKUFOQgKSkBp2H9sOrzSe+d6NOeDbHpAT1tdd7nysoq7D1yHhUVlSKMihB+YjcZipD2YOgAa+jrauBNWiZ6WXRhzRy3MDXGn14rUFJaBnk52sv3faSkJPHp+GHYcfAsr+zl63ScuXKn0U0sCGlJ1KMlRES6dTKEg12vepdnMQxDSbYJBvQ2h10f9tuHzl65i2eJKe85g5CWR4mWENJqMQyDz6Y4Qe2d59pVVVzsPXoepWXlDZxJSMuhREsIadWUFeXxxXRnVllKeja8//ZHVVWViKIipBYlWkJIq9fbsivf0qiQ+0/w27F/WXuRv8/t8Gj8ceISYuLf/0YkQj4WJVpCSJsw0204DHQ1WGW3wqLheyW0wWR7Kywae4/44/qdB9i0u/nvDiakLkq0hJA2QV5OFusXT4WWBnt3qLv3n+Kf84H1nlNRUQmfi7d5n7lc4P5j8X33MmmdKNESQtoMLQ1VfPflNKirKrHKz18LRXBkDF/9u/dj8TYrl1WWV1Ak1BhJ+0OJlhDSpuhpa+DbL6dBRYm9XeX+4xeRnFb7JiQulwu/q3f5zs+nREsEjBItIaTNMdTTwtqFUyAtXfs6wZLScmz/8zRKSssAAJFR8fW+opBeJE8EjRItIaRN6mJsgDnu7FfnJadlYd9Rf3DyCnDuGn9vFqAeLRE82oKRENJmDR/UG8HhDxH7Io1XFvbwKcIfPcX7JiJTj5YIGvVoCSFtFsMwmDTGDkYdtFnlDS2tpclQRNAo0RJC2jQZaSms/Mydbyby++QXFjdpkwtCmooSLSGkzdPX0cAv33yOaS7D0KmjLutYP2tT1vuBKyurUFRc2tIhkjaMntESQtoFZUV5uI4aCNdRA5GakY2Hsc8hJSkJexsrrPrpD5SU1q6nzS8sgqKCnAijJW0JJVpCSLujr6MBfZ3a7RpVlBRYG1fkFxRDT7u+Mwn5cDR0TAhp95QV2Ztb5BfShCgiOJRoCSHtnrKSAutzfgEt8SGCQ4mWENLuqdTp0eZRj5YIECVaQki7Rz1aIkyUaAkh7V7dZ7S0aQURJEq0hJB2j69HS0PHRIAo0RJC2j2+Wcc0dEwEiBItIaTdox4tESZKtISQdk+FJkMRIaJESwhp95TqbLdYUFSMyspKEUVD2hpKtISQdk9SUpKVbLlcoKCoRIQRkbaEEi0hhABQVqq7DSMNHxPBoERLCCEAlBXrPqelCVFEMCjREkIIqEdLhIcSLSGEgHq0RHhaNNH+8ccfGDhwIDp27IiOHTti5MiRuHLlCu84l8uFp6cnzM3NoaenB2dnZ8TFxbGuweFw4OHhASMjIxgZGcHDwwMcDodVJyYmBmPHjoWenh66d+8OLy8vcLlcVh0/Pz/Y2tpCR0cHtra28Pf3Zx0XVCyEkNaBerREWFo00RoYGOCHH37ArVu3EBgYiCFDhmD69Ol4/PgxAGDnzp3Yu3cvvLy8EBAQAG1tbbi5uSE/P593jfnz5yMqKgo+Pj7w9fVFVFQUFixYwDuel5cHNzc36OjoICAgAFu2bMHu3buxZ88eXp3w8HDMmzcPkydPRlBQECZPnow5c+YgMjKSV0cQsRBCWo+6Pdq8/EIRRULaGqmWvJmzszPr83fffYcDBw4gIiIClpaW8Pb2xvLly+Hq6goA8Pb2hqmpKXx9fTF37lw8ffoU169fx+XLl2FrawsA2L59O5ycnJCQkABTU1P4+PiguLgY3t7ekJeXh4WFBeLj47Fv3z4sWbIEDMPA29sb9vb2WLVqFQDAzMwMQUFB8Pb2xoEDB8DlcgUSCyGk9VBVrpNoqUdLBERkz2grKytx+vRpFBYWwsbGBklJSUhPT4ejoyOvjry8PAYOHIiwsDAA1T1RJSUlXmIDgAEDBkBRUZFVx87ODvLytcNAw4cPR2pqKpKSkgAAERERrPvU1Km5hqBiIYS0HvSMlghLi/Zogernp6NGjUJJSQkUFRXx999/w9LSkpectLW1WfW1tbWRmpoKAMjIyICmpiYYhuEdZxgGWlpayMjI4NUxMDDgu0bNMRMTE6Snp9d7n5prpKenCySW90lISGjweGOae35bQ+3Bj9qErSntkZ2ZgcLC2uHi18kpbbYd2+rP1RzNaZPGRjBbPNGampoiKCgIubm5OH/+PBYuXIgLFy7wjr+buIDqSUl1k1ldjdWpmQjVWJ26ZYKIpT7NGVamYWk2ag9+1CZsTW0PJVVNKCre4n2WlJZtk+1Ivx/8hN0mLT50LCMjg86dO6N37974/vvv0aNHD+zbtw+6uroAwNcbzMzM5PUsdXR0kJmZyZpBzOVykZWVxapT3zWA2h6qrq5ug/cRVCyEkNaDZh0TYRH5OtqqqiqUlZXB2NgYurq6CAwM5B0rKSlBSEgI7zmojY0NCgoKEB4ezqsTHh6OwsJCVp2QkBCUlNTuUxoYGAh9fX0YGxsDAPr378+6T02dmmsIKhZCSOuhKC8HCYna0ajikjKUl1eIMCLSVrRoot24cSPu3r2LpKQkxMTE4IcffsCdO3cwefJkMAyDhQsXYseOHTh//jxiY2OxaNEiKCoqYtKkSQCqZwePGDECK1asQEREBMLDw7FixQqMHj2a1+2fNGkS5OXlsWjRIsTGxuL8+fPYsWMHFi1axBvS/eKLL3D79m1s27YN8fHx2LZtG4KCgrBw4UIAEFgshJDWg2EYvhfAFxRRr5Y0X4s+o01PT4eHhwcyMjKgoqICS0tL+Pr6Yvjw4QCAZcuWobi4GKtXrwaHw0Hfvn1x5swZKCsr867xxx9/YM2aNZg4cSIAwMnJCT///DPvuKqqKs6ePYtVq1bBwcEBampqWLx4MZYsWcKrY2tri4MHD2Lz5s3w9PREp06dcPDgQfTr149XRxCxEEJaF2VFeeTm1842zisohrqqcgNnENI4hsPhcBuvRsQFTWRgo/bgR23C9iHt8cPOvxGb8Ir3+dsvp6KHWSdhhSYS9PvBr81NhiKEEHFVd+g4v4CGjknzUaIlhJD/KCvV2bSikDatIM1HiZYQQv5DPVoiDJRoCSHkP9SjJcJAiZYQQv5DPVoiDJRoCSHkPyp1erRPXyYjODIGpWXlfHWLiktx9kowTvjfBCevoKVCJK1Qi+91TAgh4qpujzYzOw+7/vKDgrwMXEcOhOtIOzAMg9z8Qmze8w9evXkLAHgY+xyeX89rdJ9z0j41KdFWVlYiJCQET58+RU5ODgBAXV0dZmZmGDBgAKSkKF8TQlq/jgbaUFSQRWFRKau8qLgMx8/fRGzCK8xwc8TOg2eRnJbFO/7ydTpS0rPQQU+rpUMmrUCjGfLQoUP48ccfkZ2dzdpAv4aGhgbWr1+PefPmCSVAQghpKTLS0li7cAoOnLyCxOR0vuOP4l7gUdyLes9NSHxDiZbUq8FEe+jQIXz11VeYNm0apkyZgu7du0NdXR0AkJOTgydPnuDkyZNYvXo1GIbB3LlzWyRoQggRlm6dDOG19jMkJqfjdng0bodFN+lNPvEv32DYgJ4tECFpbRpMtPv27cNXX32F9evX8x3T0tLC4MGDMXjwYOjp6WHv3r2UaAkhbYaJoS5MDHUxztEWOw6exdMXyQ3WT3j5poUiI61Ng7OOX716haFDhzZ6kaFDhyI5ueFfQkIIaY001JSxYel0ODv0Z5X3seqKd+c+vU59i8KiEhBSV4OJ1tjYGLdu3Wr0Ijdv3kTHjh0FFhQhhIgTKSlJzHIfiXWLpmCobQ/Mch+Br+a7o4OuJq8Olws8f5UqwiiJuGpw6Hjx4sVYsWIFUlJS8Mknn6B79+5QU1MDwzDIyclBXFwcfHx8cPz4cWzbtq2lYiaEEJHoZdEFvSy68D6bdjJkzT5OePkG1uZt620/pPkaTLSzZ88GAGzevBnHjx/nO87lcqGpqYmtW7fy6hJCSHth1rkDAkMe8T7Hv6RHaIRfo8t7Zs+ejRkzZiA8PBxPnjxBTk4OuFwu1NXVYW5uDhsbG1pHSwhpl0w7GbI+JyS+AZfLpY0rCEuTMqSkpCTs7OxgZ2cn7HgIIaTV6KCrydrgorCoFG/Ss2BI62nJO2ivY0II+UgMw6CrcQdWWQINH5M6BJJo/fz8oKGhIYhLEUJIq9KtEzvRxtN6WlIH9WgJIaQZTDvV7dFSoiVsDT6jrW+mcX3u378vkGAIIaS16WpsAIapXkcLAMlpmSgsKoGigpxoAyNio8FEu2jRIjAMU+/LBOqiWXaEkPZIUUEOhnpaeJ2aCaA64T5LSkHP7p1FHBkRFw0mWnV1dYwZMwarV69u8CLXrl3D2rVrBRoYIYS0FqadOvASLQA8in1OiZbwNJhoe/XqhcTERHTq1PBOJ7q6ugINihBCWhNr884IuFu7cUVQxGNMdXGAtDTtMUAamQzVq1cvREdHN3oRLS0tDBw4UGBBEUJIa9K3R1covfNMNq+gGJHRCSKMiIiTBhPthg0b8Pr160YvMmjQIFy4cEFgQRFCSGsiIy0NexsrVtm7WzOS9o2W9xBCiADUfel71JMXyMzOFVE0RJx8UKItKipCSkoKUlJSUFRUJKyYCCGk1TEx1EVnIz3eZy4XuBXW+KM30vY1mmhTU1Oxdu1aWFtbw9DQEFZWVrCysoKhoSGsra2xdu1apKSktESshBAi1hzs2L3awNBHTVoeSdq2BqfExcbGYvz48aiqqsKYMWN476MFAA6HgydPnuDUqVM4deoULly4AAsLixYJmhBCxNGgvpY4euYGysorAABvs3IR/TSR3lHbzjWYaL/55huYm5vj+PHjUFFRqbdOXl4epk6divXr1+Ps2bNCCZIQQloDRQU52PY2R1D4Y17Z1dv3KNG2cw0OHUdEROCrr756b5IFABUVFaxcuRLh4eECD44QQlobhzqToiKi4hFyP05E0RBx0GCilZOTQ25u47PmcnNzISsrK7CgCCGktbIwNYKJIXsTnz9PXEJWTp6IIiKi1mCiHTt2LL777jsEBwe/t87du3exYcMGODs7Czw4QghpbRiGwcIZ4yAlVfvntaCoBPuO+tPEqHaqwWe0mzZtwtSpUzF+/Hjo6+vzJkMxDIOcnBw8efIEKSkp6N+/PzZt2tRSMRNCiFgzMdTFp+OH4e+zAbyyx/FJuBAQhvHDB4gwMiIKDfZo1dTUcOnSJRw9ehSOjo7Izc3Fw4cPcf/+fXA4HAwbNgxHjx7F5cuXebORG7Jt2zY4ODigY8eO6NKlC6ZMmYLY2FhWHS6XC09PT5ibm0NPTw/Ozs6Ii2M/3+BwOPDw8ICRkRGMjIzg4eEBDofDqhMTE4OxY8dCT08P3bt3h5eXF9+3ST8/P9ja2kJHRwe2trbw9/cXSiyEkPZnnKMtepiZsMpO+N9E0psM0QRERKZJG1Y4Oztj9+7duHbtGiIjI3Hv3j1cv34de/bsgbOzc5NfkXfnzh189tlnuHLlCs6fPw8pKSlMmDABOTk5vDo7d+7E3r174eXlhYCAAGhra8PNzQ35+fm8OvPnz0dUVBR8fHzg6+uLqKgoLFiwgHc8Ly8Pbm5u0NHRQUBAALZs2YLdu3djz549vDrh4eGYN28eJk+ejKCgIEyePBlz5sxBZGSkQGMhhLRPNUPI7+6BXFFRhb1Hz6OiolKEkZGWxnA4nEYfGgQFBSE1NRVmZmbo2bMn3/GUlBQcPXoUa9as+aCbFxQUwMjICMeOHYOTkxO4XC7Mzc3x+eefY9WqVQCA4uJimJqaYtOmTZg7dy6ePn0KW1tbXL58GQMGVA/BhISEwMnJCRERETA1NcWBAwewceNGxMfHQ15eHgDwyy+/4ODBg4iNjQXDMJg7dy5ycnJw7tw5Xjyurq7Q0tLCgQMHBBaLoCUkJAjluq0VtQc/ahM2UbdH6IM4bD/AXvroNnogPh0/TCTxiLo9xJGw26TBHm1BQQFGjRoFV1dXLFiwAA4ODnB3d0dqaiqrXkpKCry8vD745gUFBaiqquINOyclJSE9PR2Ojo68OvLy8hg4cCDCwsIAVPdElZSUYGtry6szYMAAKCoqsurY2dnxkiwADB8+HKmpqUhKSgJQvXTp3fvU1Km5hqBiIYS0bwN6d8fgfuzNfM5dvYuEl29EFBFpaQ1Ohtq2bRuePn2Kffv2oU+fPrhz5w48PT0xYsQInD59Gubm5s26+dq1a9GjRw/Y2NgAANLT0wEA2trarHra2tq85J6RkQFNTU3WcDXDMNDS0kJGRgavjoGBAd81ao6ZmJggPT293vvUXENQsdQnIaF5r89q7vltDbUHP2oTNlG3x5A+XRF6/zFy84t5ZZ57/8ZX81wgI4J31oq6PcRRc9qksd5wg//C/v7+WLduHT799FMAQLdu3TBmzBhMmzYNY8eOha+vL/r06fNRgX3zzTcIDQ3F5cuXISkpyTpW95kvl8vlS2Z1NVanZiJUY3XqlgkilrqaM0RBwz5s1B78qE3YxKU9Vn8hD899J3mfC0sqceF2NFZ85gYZaekWi0Nc2kOciHToODk5GdbW1qwyAwMD/Pvvv7C0tISrqyuCgoI++Kbr1q3D6dOncf78eZiYmPDKdXWrF3nX7Q1mZmbyepY6OjrIzMxkzSDmcrnIyspi1anvGkBtD1VXV7fB+wgqFkIIAYBeFl0wYnBvVtn9x8/g5X0KxSWlIoqKtIQGE62Wlla9b+ZRVFSEr68v7Ozs8Mknn+DKlStNvuGaNWvg6+uL8+fPo1u3bqxjxsbG0NXVRWBgIK+spKQEISEhvOegNjY2KCgoYG35GB4ejsLCQladkJAQlJSU8OoEBgZCX18fxsbGAID+/fuz7lNTp+YagoqFEEJqzJjgCANdDVbZ4/gkbNr9D/ILi99zFmntJNeuXbvxfQdDQ0Px/PlzuLq68h2TkpKCm5sbYmNjcejQITAM0+is41WrVuHEiRP466+/YGhoiMLCQhQWFgIAZGRkwDAMKisrsX37dnTt2hWVlZVYv3490tPTsWPHDsjKykJLSwuRkZHw9fWFtbU13rx5gxUrVqBPnz68ZTVdunTBoUOHEB0dDVNTU4SEhGDDhg1Yvnw5LwHq6+vjp59+grS0NDQ1NXH48GEcO3YMO3fuhIGBgcBiEbTs7GxoamoK5dqtEbUHP2oTNnFqD2kpKdj2MsOjuBfIK6h9p3dObgFiEpIwbIA1JCQ+6DXhH0yc2kNcCLtNGvwXdXd3x+vXr5GdnV3vcSkpKRw6dAhz586FoaFhozf7888/kZ+fD1dXV5iZmfH+2717N6/OsmXLsGjRIqxevRoODg5IS0vDmTNnoKyszKvzxx9/wMrKChMnToS7uzusrKzw+++/846rqqri7NmzSE1NhYODA1avXo3FixdjyZIlvDq2trY4ePAgjh8/jkGDBuHEiRM4ePAg+vXrJ9BYCCHkXeqqyvh++Ux0NdFnlT9PSkVgyCMRRUWEqUnraIn4oIkMbNQe/KhN2MS1PYpLSvHz7z6ITXjFK1NVVsDO7xdCXk54L2kR1/YQJZFOhiKEECIc8nKyWDKLvbwnN78IftdCRBgVEQZKtIQQIiKa6ioYN5w9cfLfgHB6pV4bQ4mWEEJEyGXEAKiqKPI+l5VX4MSFWyKMiAgaJVpCCBEheTlZTHEewiq7HRaNBzHPRBQRETRKtIQQImLDBlijo74Wq+zn331wI/iBiCIigkSJlhBCRExSUhIzJ45glVVVcbH/+CX84xfI9y5t0rpQoiWEEDHQs3tnzJk0EnW3Sfe7FoJf9vuwNrggrQslWkIIERNOw/pj5Xx3vjf63It+hq89/0RMfJKIIiPNQYmWEELEiE1PM3y/bAZUlRVY5Tm5Bdi0+xjOXgkWUWTkY1GiJYQQMdPVxAA/rpoDUxP2e7W5XOCE/y3ci6b3ybYmlGgJIUQMaWuqYePymZgwyo7vue2pf2/TBKlWhBItIYSIKSkpSUx1ccDahVNY5YnJ6dSrbUUo0RJCiJjrZdEFA3qbs8pOX75DvdpWghItIYS0AhPHDGZ9fvEqjXaPaiUo0RJCSCtg3EEHNj27scp8L1GvtjWgREsIIa2EuxO7V/s8KRUXAsJQVl4uoohIU1CiJYSQVsLEUA/9rNkvKP/7bACWbNiLU//eot2jxBQlWkIIaUUmOdnzleXmF+H0pWCs3PQ7boVG0XCymKFESwghrUinjnr4xHkI39paAMgvLMa+vy9g8+5/kJqR3fLBkXpRoiWEkFbG3Wkwdm1cBGdHGyjIy/AdfxyfhNWef+DslWBUVFSKIELyLkq0hBDSCuloqmHWxBHYt+lLTHUZxvcigvLySpzwv4V1Px9Ewss3IoqSAJRoCSGkVZOXk8WEUQPxyzfz0cPchO/4q5S3+G7bYez+6xyS3mS0fIAEUo1XIYQQIu70tDWwfvFUBEU8xtEz15FXUMw7xuUCdyJjcScyFiYG6lg4SwUmhroijLZ9oR4tIYS0EQzDYIhND/z67QLY21jVWycmIRnf/XoYT18kt3B07RclWkIIaWNUlBSwZJYL1i+ZCkM9Tb7jZeUV2HPYD8UlpSKIrv2hREsIIW2UtXknbF3vgVWfu6OriT7rWEZWLg6fvi6iyNoXSrSEENKGMQyD/j3NsPmrOXAa1o91LDDkESKj4kUUWftBiZYQQtoBhmEwzdUBulqqrPL9xy8iN79QRFG1D5RoCSGknZCRlsb08faQlKz905+bX4QfdvxNS3+EiBItIYS0Ix31tTCpzluA3qRnYf3WQ7hyO5L2SRYCSrSEENLOuI60g4WpEausvLwSB09dxc5DZ2nbRgGjREsIIe2MpKQk1nzxCYYNsOY7FnL/CXb9dQ6VlZRsBYUSLSGEtENysjJYOGMcls5xhbwc+8UEYQ+fYu8Rf1RVVYkouraFEi0hhLRjg/pZwmvtZzDQ1WCVB9+LxW/H/qVntgJAiZYQQto5XS11fLtkGnQ02Ut/boVF4/j5m6IJqg1p8UQbHByMTz/9FN27d4eamhqOHTvGOs7lcuHp6Qlzc3Po6enB2dkZcXFxrDocDgceHh4wMjKCkZERPDw8wOFwWHViYmIwduxY6OnpoXv37vDy8uL7Zubn5wdbW1vo6OjA1tYW/v7+QomFEELEnaa6CjYsnQ5NdWVWud+1EIQ9fCKiqNqGFk+0hYWFsLCwwJYtWyAvL893fOfOndi7dy+8vLwQEBAAbW1tuLm5IT8/n1dn/vz5iIqKgo+PD3x9fREVFYUFCxbwjufl5cHNzQ06OjoICAjAli1bsHv3buzZs4dXJzw8HPPmzcPkyZMRFBSEyZMnY86cOYiMjBRoLIQQ0lpoa6rhuy+nQ01FkVW+76g/ktMyRRRV69fiiXbUqFHYsGEDXF1dISHBvj2Xy4W3tzeWL18OV1dXWFhYwNvbGwUFBfD19QUAPH36FNevX8eOHTtga2sLGxsbbN++HVeuXEFCQgIAwMfHB8XFxfD29oaFhQVcXV2xbNky7Nu3j9er9fb2hr29PVatWgUzMzOsWrUKgwcPhre3t0BjIYSQ1kRfRwMr57tDSqr273NJaTm2/XEaRcX0EoKPIVbPaJOSkpCeng5HR0demby8PAYOHIiwsDAA1T1RJSUl2Nra8uoMGDAAioqKrDp2dnasHvPw4cORmpqKpKQkAEBERATrPjV1aq4hqFgIIaS1MetsiNnuI1llb9KzsOeIH62x/Qhi9eL39PR0AIC2tjarXFtbG6mpqQCAjIwMaGpqgmEY3nGGYaClpYWMjAxeHQMDA75r1BwzMTFBenp6vfepuYagYqlPc3u71Ftmo/bgR23CRu3B1pT2MNFVhkVnPUREP+eV3Q59hKysLMxxc4CUlKQwQ2xxzfkdMTU1bfC4WCXaGu8mLqB6GLduMqursTo1Q8aN1albJohY6mrsH6UhCQkJzTq/raH24EdtwkbtwfYh7bHuy0747tcjSExO55UlpuTgbMBDrPJwh4y0tLDCbFHC/h0Rq6FjXV1dAODrDWZmZvJ6ljo6OsjMzGTNIOZyucjKymLVqe8aQG0PVVdXt8H7CCoWQghprWSkpfH1gsnQ01ZnlT+KewEv71MoLSsXUWSti1glWmNjY+jq6iIwMJBXVlJSgpCQEN5zUBsbGxQUFCA8PJxXJzw8HIWFhaw6ISEhKCkp4dUJDAyEvr4+jI2NAQD9+/dn3aemTs01BBULIYS0ZprqKti4fAYM9TRZ5Y/jk7D/+EXa0KIJJNeuXbuxJW9YUFCAJ0+eID09HUePHoWFhQVUVFRQVlYGVVVVVFZWYvv27ejatSsqKyuxfv16pKenY8eOHZCVlYWWlhYiIyPh6+sLa2trvHnzHlxJpAAAEuVJREFUBitWrECfPn14y2q6dOmCQ4cOITo6GqampggJCcGGDRuwfPlyXgLU19fHTz/9BGlpaWhqauLw4cM4duwYdu7cCQMDAzAMI5BYBC07OxuampqNV2wnqD34UZuwUXuwfUx7yMvJYkDv7nj05AVy84t45a9S3kJBQQ7dOnUQdJgtSti/IwyHw2nRryNBQUEYP348X/nUqVPh7e0NLpeLLVu24K+//gKHw0Hfvn2xdetWWFhY8Orm5ORgzZo1uHTpEgDAyckJP//8M9TU1Hh1YmJisGrVKty/fx9qamqYO3cu1qxZw3p26ufnh82bNyMxMRGdOnXCt99+CxcXF95xQcUiSPS8iY3agx+1CRu1B1tz2iO/sBgbtx9BcloWr0xCgsG3S6bBspuxoEJsccL+HWnxREuah/5osFF78KM2YaP2YGtue6RmZGP91kMoLKpdU6uqrICfVs+FloZqA2eKr3Y1GYoQQoh409fRwJJZLqyy3PwibD94htbYvgclWkIIIR+kj5UpPnEewip7lpiK4/43RROQmKNESwgh5INNHDMIfXt0ZZVduBGG+49pc5C6KNESQgj5YAzDYOGM8Xxv+9l39AKycvJEFJV4okRLCCHkoygrymPZXDdISNSu5sgvLMbuw7Qn8rso0RJCCPloZp0N8em4oayyuGev8efJy7SZxX8o0RJCCGkWl5F2sO7eiVUWGPIIZy4Hiygi8UKJlhBCSLMwDIMls1ygo8leR3vq39u4GfpIRFGJD0q0hBBCmk1VWRHrFn0KZUV5Vvn+45cQ9eSliKISD5RoCSGECISBriZWL5gMaenad9VWVlZhx8EzSEnPauDMto0SLSGEEIEx62yIL2e74t1XchcWleKX/T4oLCp5/4ltGCVaQgghAmXbyxzTXB1ZZSnp2dj11zlUVVWJKCrRoURLCCFE4MYPt4W9jRWr7GHsCxzzC3zPGW0XJVpCCCECxzAMPKY6wdTEgFV+4UYYQh/EiSgq0aBESwghRChkpKXx1efuUFdVYpX/duxfpL3NFlFULY8SLSGEEKFRV1XGqs8nQUqqNt0Ul5Rh24EzKCsvF2FkLYcSLSGEEKHqamKAmW4jWGVJyRn4y/eaiCJqWZRoCSGECN3oIX1h18ecVXYj+CGCIh6LKKKWQ4mWEEKI0FVPjnKGvo46q/zAyctIz8wRUVQtgxItIYSQFqEgL4sVn7lDRlqKV1ZcUoY9h8+jsrLtvlaPEi0hhJAWY9xBBzPc2JtZxL98g9OX74goIuGjREsIIaRFjbLviz5WXVllZy4H48nz1yKKSLgo0RJCCGlRDMPgi+nOUFVR5JVxuYDnvhMIjowRYWTCQYmWEEJIi1NVVsSiGeNYZSWl5dj1lx/+OHGpTa2xpURLCCFEJHpZdMGEUXZ85dfvPMC3vx5GTm6+CKISPEq0hBBCRObT8cMwf8oY1jtsgeoNLTZsO9Imlv5QoiWEECIyDMNgpH0fbP5qNt8a24ysXHy//SiS0zJFFJ1gUKIlhBAiciaGevD8eh769mDPRs7JLcDG7UfxOD5RNIEJACVaQgghYkFeThYrP3PH4P6WrPL8wmJs2vUP/jhxCYVFJSKK7uNRoiWEECI2pKQksWSWC0bZ9+E7dv3OA3z1436EPogDl8sVQXQfhxItIYQQscIwDOZ9MhruToP4juXkFmD7gbP49te/Ws1wMiVaQgghYodhGHziPBQ/rJgJA10NvuPPElOxadc/+HHvcTyOTxTrHq5U41UIIYQQ0TDv0hFeaz/D6Ut3cP56KKqq2Ak1Ku4louJeoouxPsY52sKmpxmkpCTfczXRoERLCCFErMlIS2OqiwPsbXrg+PlAREYl8NV5npSKnYfOQVVFEfb9reBg1xOGeloiiJYfJVpCCCGtgqGeFlZ7TEb8y2QcP38TsQmv+Ork5hXiwo0wXLgRBhNDXfSx+n979x8UZdkucPy7QoRaubasiwUr78ui/FAUSSCLIXW0eKmj6XFEaWpERCfzhGWBNoOmFAj5A8u03ByZxhEVmcZowKaJElBZehuPHhOD42sTJevs4qrgDwbY84fjzrstIkd9XGGvz8zzz33fz851XzB77fPcu89tYHyEgeARwxkwwHm19Nr1djo7uxSPWwrtPWI0Gtm8eTNms5nQ0FByc3OZOHGiu8MSQoh+Z+TfAsj+rxTq//d3yr6v7fYKF+Bsk5mzTWZKK2p4ZJAvf9P78/fA4Tz26CCOn/oXJxvO8p+J8Yz++zBF45VCew+UlpaSlZXF+vXriYuLw2g0Mnv2bI4ePUpgYKC7wxNCiH5HpVIRZtATZtDzR7OF8h/qqPnnSa5cbe92fOuVa5yoP8uJ+rNO7f880aB4oZVvHd8DW7ZsYd68ebz22muMGjWKgoICdDodO3bscHdoQgjR7z3p70daciLbPniTN177D0aPHIFK1btzG3/7k8ttVxWNT65o71J7ezvHjh1j6dKlTu2TJ0+mtrbWTVEJIYTnedjnIeInjCZ+wmguXm7jv0+d4ef/aeB4/b9ou3K923OGadRYba2KxiWF9i5ZrVY6OzvRarVO7VqtlvPnz3d7TkND9+sJvXW35/c3kg9XkhNnkg9nnpKP4UN9SYofwz+eHc35los0NbfQdM5C65VrDNcOJTwkEJ1mCCqV6q5yEhIS0mO/FNp7RPWX+xR2u92l7abb/VF60tDQcFfn9zeSD1eSE2eSD2eemo+RPfQpnRNZo71LGo0GLy8vl6tXi8XicpUrhBDC80ihvUs+Pj6MGzeOyspKp/bKykpiY2PdFJUQQogHhdw6vgeWLFnCokWLiI6OJjY2lh07dtDc3Mz8+fPdHZoQQgg3k0J7D8ycOZOWlhYKCgowm82EhYWxd+9e9Hq9u0MTQgjhZlJo75G0tDTS0tLcHYYQQogHjKzRCiGEEApS2Wy2B3cTPyGEEKKPkytaIYQQQkFSaIUQQggFSaEVQgghFCSFVgghhFCQFFohhBBCQVJo+xCj0UhkZCQ6nY6EhAQOHz7s7pDuiw0bNjBp0iQCAwMJDg5mzpw5/PLLL05j7HY7ubm5hIaG4u/vT1JSEqdOnXJTxPfX+vXrUavVvPPOO442T8tHc3MzixcvJjg4GJ1OR2xsLNXV1Y5+T8tHZ2cnOTk5jveLyMhIcnJy6OjocIzpzzmpqakhOTmZsLAw1Go1u3btcurvzdxtNhvp6eno9Xr0ej3p6enYbLY7ikcKbR9RWlpKVlYWb7/9NocOHSImJobZs2fz+++/uzs0xVVXV7NgwQIOHjzIgQMH8Pb2ZsaMGVy4cMExprCwkC1btrBu3Tq+//57tFotL7/8MpcvX3Zj5Mqrq6ujqKiIiIgIp3ZPyofNZuP555/Hbrezd+9eamtryc/Pd9rUw5PyAbBp0yaMRiPr1q3DZDKRl5fH9u3b2bBhg2NMf85JW1sb4eHh5OXlMXDgQJf+3sw9LS2N48ePs2/fPkpKSjh+/DiLFi26o3jkd7R9xJQpU4iIiGDz5s2OtvHjxzN9+nRWrVrlxsjuv9bWVvR6Pbt27SIxMRG73U5oaCgLFy5k+fLlAFy9epWQkBDWrl3bb585ffHiRRISEigsLCQ/P5/w8HAKCgo8Lh9r1qyhpqaGgwcPdtvvafkAmDNnDkOHDmXbtm2OtsWLF3PhwgX27NnjUTl58sknyc/PJyUlBejd/8Pp06eJjY2loqKCuLg4AI4cOUJiYiJ1dXX/7y315Iq2D2hvb+fYsWNMnjzZqX3y5MnU1ta6KSr3aW1tpaurC7VaDcBvv/2G2Wx2ys/AgQOZOHFiv85PRkYG06dPJyEhwand0/LxzTffEB0dzfz58zEYDDz77LN8/vnn2O03riE8LR8AcXFxVFdX8+uvvwJQX19PVVUVU6dOBTwzJzf1Zu4mk4lHHnnEaQe2uLg4Bg8efEf5kWcd9wFWq5XOzk6X/W21Wq3LPrieICsrizFjxhATEwOA2WwG6DY/586du+/x3Q9FRUWcOXOGzz77zKXP0/Jx9uxZvvjiC15//XUyMjI4ceIEmZmZAKSnp3tcPuDGh7DW1lZiY2Px8vKio6OD5cuXO57H7ok5uak3cz9//jwajQaVSuXoV6lU+Pn53dF7rhTaPuTf/+hw4xbIX9v6u5UrV3L06FEqKirw8vJy6vOU/DQ0NLBmzRrKy8vx8fG55ThPyUdXVxdRUVGOJZSxY8dy5swZjEYj6enpjnGekg+48Z2O4uJijEYjoaGhnDhxgqysLPR6Pa+++qpjnCfl5K9uN/fu8nCn+ZFbx32ARqPBy8vL5ZOUxWJx+VTWn61YsYL9+/dz4MABgoKCHO06nQ7AY/JjMpmwWq08/fTTaDQaNBoNNTU1GI1GNBoNjz/+OOA5+dDpdIwaNcqpbeTIkTQ1NTn6wXPyAZCdnc0bb7zBrFmziIiIIDk5mSVLlrBx40bAM3NyU2/mPmzYMCwWi2P5AW4UWavVekf5kULbB/j4+DBu3DgqKyud2isrK53WEPqzzMxMSkpKOHDgACNHjnTqGzFiBDqdzik/165d48iRI/0yP0lJSRw+fJiqqirHERUVxaxZs6iqqsJgMHhUPuLi4mhsbHRqa2xsJDAwEPC8/w+AK1euuNzx8fLyoqurC/DMnNzUm7nHxMTQ2tqKyWRyjDGZTLS1td1RfryysrJW33XkQnGPPvooubm5+Pv74+vrS0FBAYcPH+aTTz5hyJAh7g5PUcuXL6e4uJidO3cSEBBAW1sbbW1twI0PISqVis7OTjZu3IjBYKCzs5P33nsPs9nMpk2bePjhh908g3vL19cXrVbrdOzbtw+9Xk9KSorH5SMgIIB169YxYMAA/P39+fHHH8nJyWHZsmVER0d7XD4ATp8+zZ49ezAYDDz00ENUVVWxdu1aZs6cyZQpU/p9TlpbW6mvr8dsNvPll18SHh7OY489Rnt7O0OGDLnt3P38/Pjpp58oKSkhMjKSP/74g2XLljF+/Pg7+omP/LynDzEajRQWFmI2mwkLC+PDDz/kmWeecXdYirv57eK/yszMZMWKFcCN2zp5eXns3LkTm81GdHQ0H330EeHh4fczVLdJSkpy/LwHPC8fBw8eZM2aNTQ2NhIQEMDChQtZtGiRYz3N0/Jx+fJlPvjgA8rKyrBYLOh0OmbNmsW7776Lr68v0L9zUlVVxUsvveTSPnfuXLZu3dqruV+4cIHMzEzKy8sBSExMJD8//5bvRz2RQiuEEEIoSNZohRBCCAVJoRVCCCEUJIVWCCGEUJAUWiGEEEJBUmiFEEIIBUmhFUIIIRQkhVYIcVtLly5FrVazcuXKW44xmUykpqYSHh6OVqslMDCQSZMmkZOTQ3Nzs9NYtVp9y6OsrEzp6QhxX8nvaIUQPbp69SqjRo3i0qVLaLVaTp06hbe3834kH3/8MdnZ2cTHxzNnzhyCgoJoa2vDZDJRVFTE2LFjKSkpcYxXq9XMmzev231PQ0JC7uihAEI8qGT3HiFEj8rKyrh06RLTpk3j22+/5bvvvuOFF15w9B86dIjs7GwWL15Mbm6u07nTpk1j2bJlfPXVVy6v+8QTTzBhwgTF4xfC3eTWsRCiR7t370atVvPpp58ycOBAiouLnfoLCwvRaDS8//773Z4/ePBgUlJS7keoQjyQpNAKIW7p3Llz/PDDD8ycORM/Pz+SkpIoLy/HZrMB0NHRQU1NDZMmTepxb9zu2O12Ojo6XA4h+hsptEKIW9qzZw9dXV0kJycDNx7Kfv36dUpLSwFoaWnh2rVrBAQEuJx7uwK6fv16/Pz8XA6r1arspIS4z2SNVghxS8XFxQQHBxMTEwPAc889x/DhwykuLiY1NdVpY+x/ZzabXTZjt1gsTl+ieuWVV1iwYIHLuf1920fheaTQCiG69fPPP1NfX09GRobjVjHAiy++yPbt22lsbCQoKAhfX1+ampqcztVoNI6NtXfu3ElRUZHL6/v7+xMVFaXsJIR4AMitYyFEt3bv3g3Apk2bCAoKchzbt28Hblztent7M3HiRCorK2lvb3ec6+3tTVRUFFFRUfj7+7slfiEeFFJohRAu2tvb2b9/P0899RRff/21yzFmzBiKi4ux2+28+eabWK1WVq1a5e6whXggya1jIYSLiooKWlpayMnJIT4+3qV//vz5vPXWW1RVVZGQkMDq1atZvXo1J0+eJDk5mREjRnD9+nUaGxspLS1l8ODBqFQqp9f4888/qaurc3ntwMBAuQoW/Yo8GUoI4WLu3LlUV1dz+vRpBg0a5NJ/8eJFQkNDmTFjBlu3bgXg6NGjbNu2jdraWiwWC76+vhgMBqZOnUpqaqpT8ezpyU9r165l6dKl935SQriJFFohhBBCQbJGK4QQQihICq0QQgihICm0QgghhIKk0AohhBAKkkIrhBBCKEgKrRBCCKEgKbRCCCGEgqTQCiGEEAqSQiuEEEIo6P8AITqIsGGj0VYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "everyone.plot('AGE', '2010')\n",
    "plots.title('US Population');    # <--- OPTIONAL; not needed for Data 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Age distribution for two different years\n",
    "everyone.plot('AGE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Males and Females in 2014 ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's compare male and female counts per age\n",
    "males = no_999.where('SEX', 1).drop('SEX')\n",
    "females = no_999.where('SEX', 2).drop('SEX')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Age</th> <th>Males</th> <th>Females</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>2017857</td> <td>1930493</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>2023253</td> <td>1938870</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>2022502</td> <td>1935270</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3   </td> <td>2048618</td> <td>1956572</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4   </td> <td>2043498</td> <td>1959950</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5   </td> <td>2043467</td> <td>1961391</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6   </td> <td>2110328</td> <td>2024024</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7   </td> <td>2122240</td> <td>2031760</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8   </td> <td>2105122</td> <td>2014402</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9   </td> <td>2097272</td> <td>2009560</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (91 rows omitted)</p>"
      ],
      "text/plain": [
       "Age  | Males   | Females\n",
       "0    | 2017857 | 1930493\n",
       "1    | 2023253 | 1938870\n",
       "2    | 2022502 | 1935270\n",
       "3    | 2048618 | 1956572\n",
       "4    | 2043498 | 1959950\n",
       "5    | 2043467 | 1961391\n",
       "6    | 2110328 | 2024024\n",
       "7    | 2122240 | 2031760\n",
       "8    | 2105122 | 2014402\n",
       "9    | 2097272 | 2009560\n",
       "... (91 rows omitted)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pop_2014 = Table().with_columns(\n",
    "    'Age', males.column('AGE'),\n",
    "    'Males', males.column('2014'),\n",
    "    'Females', females.column('2014')\n",
    ")\n",
    "pop_2014"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pop_2014.plot('Age')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([48.89366444, 48.93512897, 48.89796583, 48.85091594, 48.95654945,\n",
       "       48.9752945 , 48.95625723, 48.91092922, 48.89890191, 48.93212091,\n",
       "       48.9734048 , 48.99969062, 48.99606517, 48.95633512, 48.86619665,\n",
       "       48.88170995, 48.86445062, 48.88986227, 48.76308397, 48.668799  ,\n",
       "       48.63932932, 48.5330796 , 48.66269094, 48.92327135, 49.03933504,\n",
       "       49.08996242, 49.16509171, 49.21162965, 49.28169646, 49.44899983,\n",
       "       49.65375766, 49.75983547, 49.86565039, 49.93824999, 49.74770193,\n",
       "       49.99251351, 50.05521355, 50.20280862, 50.18189092, 50.10049432,\n",
       "       50.31587643, 50.47966604, 50.40624483, 50.42907187, 50.23118137,\n",
       "       50.32445422, 50.37830234, 50.53327291, 50.51106084, 50.55818402,\n",
       "       50.75941276, 50.86725098, 50.93664868, 51.06392595, 50.97417608,\n",
       "       51.18857886, 51.29709649, 51.45934869, 51.62031101, 51.70400468,\n",
       "       51.97408419, 52.08985538, 52.15439053, 52.36152155, 52.36785492,\n",
       "       52.49779211, 52.53185996, 52.56760719, 52.90700545, 53.15391012,\n",
       "       53.40547378, 53.59234336, 53.92943506, 54.39955529, 54.64201112,\n",
       "       54.72838462, 55.24864161, 55.70223967, 56.17908816, 56.81601714,\n",
       "       57.27838288, 57.96988345, 58.65447794, 59.42565786, 60.30973204,\n",
       "       61.15934696, 62.26066267, 63.23984507, 64.42329756, 65.70984639,\n",
       "       66.7833361 , 67.65867346, 69.00900342, 69.97202558, 71.58537422,\n",
       "       72.74509305, 74.22514523, 75.54191399, 77.32159176, 78.39485512,\n",
       "       80.9839744 ])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the percent female for each age\n",
    "total = pop_2014.column('Males') + pop_2014.column('Females')\n",
    "pct_female = pop_2014.column('Females') / total * 100\n",
    "pct_female"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([48.894, 48.935, 48.898, 48.851, 48.957, 48.975, 48.956, 48.911,\n",
       "       48.899, 48.932, 48.973, 49.   , 48.996, 48.956, 48.866, 48.882,\n",
       "       48.864, 48.89 , 48.763, 48.669, 48.639, 48.533, 48.663, 48.923,\n",
       "       49.039, 49.09 , 49.165, 49.212, 49.282, 49.449, 49.654, 49.76 ,\n",
       "       49.866, 49.938, 49.748, 49.993, 50.055, 50.203, 50.182, 50.1  ,\n",
       "       50.316, 50.48 , 50.406, 50.429, 50.231, 50.324, 50.378, 50.533,\n",
       "       50.511, 50.558, 50.759, 50.867, 50.937, 51.064, 50.974, 51.189,\n",
       "       51.297, 51.459, 51.62 , 51.704, 51.974, 52.09 , 52.154, 52.362,\n",
       "       52.368, 52.498, 52.532, 52.568, 52.907, 53.154, 53.405, 53.592,\n",
       "       53.929, 54.4  , 54.642, 54.728, 55.249, 55.702, 56.179, 56.816,\n",
       "       57.278, 57.97 , 58.654, 59.426, 60.31 , 61.159, 62.261, 63.24 ,\n",
       "       64.423, 65.71 , 66.783, 67.659, 69.009, 69.972, 71.585, 72.745,\n",
       "       74.225, 75.542, 77.322, 78.395, 80.984])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Round it to 3 so that it's easier to read\n",
    "pct_female = np.round(pct_female, 3)\n",
    "pct_female"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Age</th> <th>Males</th> <th>Females</th> <th>Percent female</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0   </td> <td>2017857</td> <td>1930493</td> <td>48.894        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1   </td> <td>2023253</td> <td>1938870</td> <td>48.935        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2   </td> <td>2022502</td> <td>1935270</td> <td>48.898        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3   </td> <td>2048618</td> <td>1956572</td> <td>48.851        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4   </td> <td>2043498</td> <td>1959950</td> <td>48.957        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5   </td> <td>2043467</td> <td>1961391</td> <td>48.975        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6   </td> <td>2110328</td> <td>2024024</td> <td>48.956        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7   </td> <td>2122240</td> <td>2031760</td> <td>48.911        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8   </td> <td>2105122</td> <td>2014402</td> <td>48.899        </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9   </td> <td>2097272</td> <td>2009560</td> <td>48.932        </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (91 rows omitted)</p>"
      ],
      "text/plain": [
       "Age  | Males   | Females | Percent female\n",
       "0    | 2017857 | 1930493 | 48.894\n",
       "1    | 2023253 | 1938870 | 48.935\n",
       "2    | 2022502 | 1935270 | 48.898\n",
       "3    | 2048618 | 1956572 | 48.851\n",
       "4    | 2043498 | 1959950 | 48.957\n",
       "5    | 2043467 | 1961391 | 48.975\n",
       "6    | 2110328 | 2024024 | 48.956\n",
       "7    | 2122240 | 2031760 | 48.911\n",
       "8    | 2105122 | 2014402 | 48.899\n",
       "9    | 2097272 | 2009560 | 48.932\n",
       "... (91 rows omitted)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add female percent to our table\n",
    "pop_2014 = pop_2014.with_column('Percent female', pct_female)\n",
    "pop_2014"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pop_2014.plot('Age', 'Percent female')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ^^ Look at the y-axis! Trend is not as dramatic as you might think\n",
    "pop_2014.plot('Age', 'Percent female')\n",
    "plots.ylim(0, 100);  # Optional for Data 8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter Plots ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Actor</th> <th>Total Gross</th> <th>Number of Movies</th> <th>Average per Movie</th> <th>#1 Movie</th> <th>Gross</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Harrison Ford     </td> <td>4871.7     </td> <td>41              </td> <td>118.8            </td> <td>Star Wars: The Force Awakens</td> <td>936.7</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Samuel L. Jackson </td> <td>4772.8     </td> <td>69              </td> <td>69.2             </td> <td>The Avengers                </td> <td>623.4</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Morgan Freeman    </td> <td>4468.3     </td> <td>61              </td> <td>73.3             </td> <td>The Dark Knight             </td> <td>534.9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Tom Hanks         </td> <td>4340.8     </td> <td>44              </td> <td>98.7             </td> <td>Toy Story 3                 </td> <td>415  </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Robert Downey, Jr.</td> <td>3947.3     </td> <td>53              </td> <td>74.5             </td> <td>The Avengers                </td> <td>623.4</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Eddie Murphy      </td> <td>3810.4     </td> <td>38              </td> <td>100.3            </td> <td>Shrek 2                     </td> <td>441.2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Tom Cruise        </td> <td>3587.2     </td> <td>36              </td> <td>99.6             </td> <td>War of the Worlds           </td> <td>234.3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Johnny Depp       </td> <td>3368.6     </td> <td>45              </td> <td>74.9             </td> <td>Dead Man's Chest            </td> <td>423.3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Michael Caine     </td> <td>3351.5     </td> <td>58              </td> <td>57.8             </td> <td>The Dark Knight             </td> <td>534.9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Scarlett Johansson</td> <td>3341.2     </td> <td>37              </td> <td>90.3             </td> <td>The Avengers                </td> <td>623.4</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (40 rows omitted)</p>"
      ],
      "text/plain": [
       "Actor              | Total Gross | Number of Movies | Average per Movie | #1 Movie                     | Gross\n",
       "Harrison Ford      | 4871.7      | 41               | 118.8             | Star Wars: The Force Awakens | 936.7\n",
       "Samuel L. Jackson  | 4772.8      | 69               | 69.2              | The Avengers                 | 623.4\n",
       "Morgan Freeman     | 4468.3      | 61               | 73.3              | The Dark Knight              | 534.9\n",
       "Tom Hanks          | 4340.8      | 44               | 98.7              | Toy Story 3                  | 415\n",
       "Robert Downey, Jr. | 3947.3      | 53               | 74.5              | The Avengers                 | 623.4\n",
       "Eddie Murphy       | 3810.4      | 38               | 100.3             | Shrek 2                      | 441.2\n",
       "Tom Cruise         | 3587.2      | 36               | 99.6              | War of the Worlds            | 234.3\n",
       "Johnny Depp        | 3368.6      | 45               | 74.9              | Dead Man's Chest             | 423.3\n",
       "Michael Caine      | 3351.5      | 58               | 57.8              | The Dark Knight              | 534.9\n",
       "Scarlett Johansson | 3341.2      | 37               | 90.3              | The Avengers                 | 623.4\n",
       "... (40 rows omitted)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Actors and their highest grossing movies\n",
    "actors = Table.read_table('actors.csv')\n",
    "actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "actors.scatter('Number of Movies', 'Total Gross')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "actors.scatter('Number of Movies', 'Average per Movie')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Actor</th> <th>Total Gross</th> <th>Number of Movies</th> <th>Average per Movie</th> <th>#1 Movie</th> <th>Gross</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Anthony Daniels</td> <td>3162.9     </td> <td>7               </td> <td>451.8            </td> <td>Star Wars: The Force Awakens</td> <td>936.7</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "Actor           | Total Gross | Number of Movies | Average per Movie | #1 Movie                     | Gross\n",
       "Anthony Daniels | 3162.9      | 7                | 451.8             | Star Wars: The Force Awakens | 936.7"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "actors.where('Average per Movie', are.above(400))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar Charts ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Title</th> <th>Studio</th> <th>Gross</th> <th>Gross (Adjusted)</th> <th>Year</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Gone with the Wind              </td> <td>MGM            </td> <td>198676459</td> <td>1796176700      </td> <td>1939</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Star Wars                       </td> <td>Fox            </td> <td>460998007</td> <td>1583483200      </td> <td>1977</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Sound of Music              </td> <td>Fox            </td> <td>158671368</td> <td>1266072700      </td> <td>1965</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>E.T.: The Extra-Terrestrial     </td> <td>Universal      </td> <td>435110554</td> <td>1261085000      </td> <td>1982</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Titanic                         </td> <td>Paramount      </td> <td>658672302</td> <td>1204368000      </td> <td>1997</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Ten Commandments            </td> <td>Paramount      </td> <td>65500000 </td> <td>1164590000      </td> <td>1956</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Jaws                            </td> <td>Universal      </td> <td>260000000</td> <td>1138620700      </td> <td>1975</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Doctor Zhivago                  </td> <td>MGM            </td> <td>111721910</td> <td>1103564200      </td> <td>1965</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Exorcist                    </td> <td>Warner Brothers</td> <td>232906145</td> <td>983226600       </td> <td>1973</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Snow White and the Seven Dwarves</td> <td>Disney         </td> <td>184925486</td> <td>969010000       </td> <td>1937</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (190 rows omitted)</p>"
      ],
      "text/plain": [
       "Title                            | Studio          | Gross     | Gross (Adjusted) | Year\n",
       "Gone with the Wind               | MGM             | 198676459 | 1796176700       | 1939\n",
       "Star Wars                        | Fox             | 460998007 | 1583483200       | 1977\n",
       "The Sound of Music               | Fox             | 158671368 | 1266072700       | 1965\n",
       "E.T.: The Extra-Terrestrial      | Universal       | 435110554 | 1261085000       | 1982\n",
       "Titanic                          | Paramount       | 658672302 | 1204368000       | 1997\n",
       "The Ten Commandments             | Paramount       | 65500000  | 1164590000       | 1956\n",
       "Jaws                             | Universal       | 260000000 | 1138620700       | 1975\n",
       "Doctor Zhivago                   | MGM             | 111721910 | 1103564200       | 1965\n",
       "The Exorcist                     | Warner Brothers | 232906145 | 983226600        | 1973\n",
       "Snow White and the Seven Dwarves | Disney          | 184925486 | 969010000        | 1937\n",
       "... (190 rows omitted)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Highest grossing movies as of 2017\n",
    "top_movies = Table.read_table('top_movies_2017.csv')\n",
    "top_movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Title</th> <th>Studio</th> <th>Gross</th> <th>Gross (Adjusted)</th> <th>Year</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Gone with the Wind              </td> <td>MGM            </td> <td>198676459</td> <td>1796176700      </td> <td>1939</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Star Wars                       </td> <td>Fox            </td> <td>460998007</td> <td>1583483200      </td> <td>1977</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Sound of Music              </td> <td>Fox            </td> <td>158671368</td> <td>1266072700      </td> <td>1965</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>E.T.: The Extra-Terrestrial     </td> <td>Universal      </td> <td>435110554</td> <td>1261085000      </td> <td>1982</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Titanic                         </td> <td>Paramount      </td> <td>658672302</td> <td>1204368000      </td> <td>1997</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Ten Commandments            </td> <td>Paramount      </td> <td>65500000 </td> <td>1164590000      </td> <td>1956</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Jaws                            </td> <td>Universal      </td> <td>260000000</td> <td>1138620700      </td> <td>1975</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Doctor Zhivago                  </td> <td>MGM            </td> <td>111721910</td> <td>1103564200      </td> <td>1965</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Exorcist                    </td> <td>Warner Brothers</td> <td>232906145</td> <td>983226600       </td> <td>1973</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Snow White and the Seven Dwarves</td> <td>Disney         </td> <td>184925486</td> <td>969010000       </td> <td>1937</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "Title                            | Studio          | Gross     | Gross (Adjusted) | Year\n",
       "Gone with the Wind               | MGM             | 198676459 | 1796176700       | 1939\n",
       "Star Wars                        | Fox             | 460998007 | 1583483200       | 1977\n",
       "The Sound of Music               | Fox             | 158671368 | 1266072700       | 1965\n",
       "E.T.: The Extra-Terrestrial      | Universal       | 435110554 | 1261085000       | 1982\n",
       "Titanic                          | Paramount       | 658672302 | 1204368000       | 1997\n",
       "The Ten Commandments             | Paramount       | 65500000  | 1164590000       | 1956\n",
       "Jaws                             | Universal       | 260000000 | 1138620700       | 1975\n",
       "Doctor Zhivago                   | MGM             | 111721910 | 1103564200       | 1965\n",
       "The Exorcist                     | Warner Brothers | 232906145 | 983226600        | 1973\n",
       "Snow White and the Seven Dwarves | Disney          | 184925486 | 969010000        | 1937"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top10_adjusted = top_movies.take(np.arange(10))\n",
    "top10_adjusted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Title</th> <th>Studio</th> <th>Gross</th> <th>Gross (Adjusted)</th> <th>Year</th> <th>Millions</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Gone with the Wind              </td> <td>MGM            </td> <td>198676459</td> <td>1796176700      </td> <td>1939</td> <td>1796.18 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Star Wars                       </td> <td>Fox            </td> <td>460998007</td> <td>1583483200      </td> <td>1977</td> <td>1583.48 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Sound of Music              </td> <td>Fox            </td> <td>158671368</td> <td>1266072700      </td> <td>1965</td> <td>1266.07 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>E.T.: The Extra-Terrestrial     </td> <td>Universal      </td> <td>435110554</td> <td>1261085000      </td> <td>1982</td> <td>1261.09 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Titanic                         </td> <td>Paramount      </td> <td>658672302</td> <td>1204368000      </td> <td>1997</td> <td>1204.37 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Ten Commandments            </td> <td>Paramount      </td> <td>65500000 </td> <td>1164590000      </td> <td>1956</td> <td>1164.59 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Jaws                            </td> <td>Universal      </td> <td>260000000</td> <td>1138620700      </td> <td>1975</td> <td>1138.62 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Doctor Zhivago                  </td> <td>MGM            </td> <td>111721910</td> <td>1103564200      </td> <td>1965</td> <td>1103.56 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>The Exorcist                    </td> <td>Warner Brothers</td> <td>232906145</td> <td>983226600       </td> <td>1973</td> <td>983.227 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Snow White and the Seven Dwarves</td> <td>Disney         </td> <td>184925486</td> <td>969010000       </td> <td>1937</td> <td>969.01  </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "Title                            | Studio          | Gross     | Gross (Adjusted) | Year | Millions\n",
       "Gone with the Wind               | MGM             | 198676459 | 1796176700       | 1939 | 1796.18\n",
       "Star Wars                        | Fox             | 460998007 | 1583483200       | 1977 | 1583.48\n",
       "The Sound of Music               | Fox             | 158671368 | 1266072700       | 1965 | 1266.07\n",
       "E.T.: The Extra-Terrestrial      | Universal       | 435110554 | 1261085000       | 1982 | 1261.09\n",
       "Titanic                          | Paramount       | 658672302 | 1204368000       | 1997 | 1204.37\n",
       "The Ten Commandments             | Paramount       | 65500000  | 1164590000       | 1956 | 1164.59\n",
       "Jaws                             | Universal       | 260000000 | 1138620700       | 1975 | 1138.62\n",
       "Doctor Zhivago                   | MGM             | 111721910 | 1103564200       | 1965 | 1103.56\n",
       "The Exorcist                     | Warner Brothers | 232906145 | 983226600        | 1973 | 983.227\n",
       "Snow White and the Seven Dwarves | Disney          | 184925486 | 969010000        | 1937 | 969.01"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert to millions of dollars for readability\n",
    "millions = np.round(top10_adjusted.column('Gross (Adjusted)') / 1000000, 3)\n",
    "top10_adjusted = top10_adjusted.with_column('Millions', millions)\n",
    "top10_adjusted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A line plot doesn't make sense here: don't do this!\n",
    "top10_adjusted.plot('Year', 'Millions')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top10_adjusted.barh('Title', 'Millions')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate the chart shown in the slides:\n",
    "# bar chart of age (# years since release) for the 10 highest grossing movies (non-adjusted)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}