Anes_Cumulative.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# American National Election Studies 1948-2020\n",
    "\n",
    "The data was downloaded from American National Election Studies [Time Series Cumulative Data File (1948-2020)](https://electionstudies.org/data-center/anes-time-series-cumulative-data-file/).\n",
    "\n",
    "\n",
    "## Study Overview\n",
    "Questions that have been asked in three or more ANES Time Series studies may be included in the ANES Time Series Cumulative Data File. Data from other ANES studies, such as the 1984 Continuous Monitoring Study, the 1988 Super Tuesday Study, or the 1988-1992 Senate Election Study, are never included."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "demblue = \"#0015BC\"\n",
    "repred = \"#FF0000\"\n",
    "demgrey = \"#9EA4BF\"\n",
    "repgrey = \"#BF9EA2\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_316296/3398998509.py:1: DtypeWarning: Columns (4,5,6,7,8,9,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,37,38,39,40,41,42,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,232,253,274,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,360,381,402,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,761,762,763,764,775,786,797,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872,873,874,875,876,877,878,879,880,881,882,883,884,885,886,887,888,889,890,891,892,893,894,895,896,897,898,899,900,901,902,903,904,905,906,907,908,909,910,911,912,913,914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,933,934,935,936,937,938,939,940,941,942,943,944,945,946,947,948,949,950,951,952,953,954,955,956,957,958,959,960,961,962,963,964,965,966,967,968,969,970,971,972,973,974,975,976,977,978,979,980,981,982,983,984,985,986,987,988,989,990,991,992,993,994,995,996,997,998,999,1000,1001,1002,1003,1004,1005,1006,1007,1008,1009,1010,1011,1012,1013,1014,1015,1016,1017,1018,1019,1020,1021,1022,1023,1024,1025,1026,1027,1028) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  df = pd.read_csv('data/anes_timeseries_cdf_csv_20211118.csv')\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('data/anes_timeseries_cdf_csv_20211118.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(68224, 1029)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 68224 entries, 0 to 68223\n",
      "Columns: 1029 entries, Version to VCF9282\n",
      "dtypes: float64(3), int64(9), object(1017)\n",
      "memory usage: 535.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "      <th>VCF0397a</th>\n",
       "      <th>VCF0397b</th>\n",
       "      <th>VCF0397c</th>\n",
       "      <th>VCF0397d</th>\n",
       "      <th>VCF0401</th>\n",
       "      <th>VCF0402</th>\n",
       "      <th>VCF0403</th>\n",
       "      <th>VCF0404</th>\n",
       "      <th>VCF0405</th>\n",
       "      <th>VCF0406</th>\n",
       "      <th>VCF0407</th>\n",
       "      <th>VCF0408</th>\n",
       "      <th>VCF0409</th>\n",
       "      <th>VCF0410</th>\n",
       "      <th>VCF0411</th>\n",
       "      <th>VCF0412</th>\n",
       "      <th>VCF0413</th>\n",
       "      <th>VCF0414</th>\n",
       "      <th>VCF0415</th>\n",
       "      <th>VCF0424</th>\n",
       "      <th>VCF0425</th>\n",
       "      <th>VCF0426</th>\n",
       "      <th>VCF0427</th>\n",
       "      <th>VCF0428</th>\n",
       "      <th>VCF0429</th>\n",
       "      <th>VCF0432</th>\n",
       "      <th>VCF0433</th>\n",
       "      <th>VCF0434</th>\n",
       "      <th>VCF0435</th>\n",
       "      <th>VCF0436</th>\n",
       "      <th>VCF0437</th>\n",
       "      <th>VCF0438</th>\n",
       "      <th>VCF0439</th>\n",
       "      <th>VCF0440</th>\n",
       "      <th>VCF0441</th>\n",
       "      <th>VCF0442</th>\n",
       "      <th>VCF0443</th>\n",
       "      <th>VCF0444</th>\n",
       "      <th>VCF0445</th>\n",
       "      <th>VCF0446</th>\n",
       "      <th>VCF0447</th>\n",
       "      <th>VCF0448</th>\n",
       "      <th>VCF0449</th>\n",
       "      <th>VCF0450</th>\n",
       "      <th>VCF0451</th>\n",
       "      <th>VCF0471</th>\n",
       "      <th>VCF0472</th>\n",
       "      <th>VCF0473</th>\n",
       "      <th>VCF0475</th>\n",
       "      <th>VCF0476a</th>\n",
       "      <th>VCF0476b</th>\n",
       "      <th>VCF0476c</th>\n",
       "      <th>VCF0476d</th>\n",
       "      <th>VCF0477a</th>\n",
       "      <th>VCF0477b</th>\n",
       "      <th>VCF0477c</th>\n",
       "      <th>VCF0477d</th>\n",
       "      <th>VCF0478a</th>\n",
       "      <th>VCF0478b</th>\n",
       "      <th>VCF0478c</th>\n",
       "      <th>VCF0478d</th>\n",
       "      <th>VCF0479a</th>\n",
       "      <th>VCF0479b</th>\n",
       "      <th>VCF0479c</th>\n",
       "      <th>VCF0479d</th>\n",
       "      <th>VCF0480a</th>\n",
       "      <th>VCF0480b</th>\n",
       "      <th>VCF0480c</th>\n",
       "      <th>VCF0480d</th>\n",
       "      <th>VCF0481</th>\n",
       "      <th>VCF0482a</th>\n",
       "      <th>VCF0482b</th>\n",
       "      <th>VCF0482c</th>\n",
       "      <th>VCF0482d</th>\n",
       "      <th>VCF0483a</th>\n",
       "      <th>VCF0483b</th>\n",
       "      <th>VCF0483c</th>\n",
       "      <th>VCF0483d</th>\n",
       "      <th>VCF0484a</th>\n",
       "      <th>VCF0484b</th>\n",
       "      <th>VCF0484c</th>\n",
       "      <th>VCF0484d</th>\n",
       "      <th>VCF0485a</th>\n",
       "      <th>VCF0485b</th>\n",
       "      <th>VCF0485c</th>\n",
       "      <th>VCF0485d</th>\n",
       "      <th>VCF0486a</th>\n",
       "      <th>VCF0486b</th>\n",
       "      <th>VCF0486c</th>\n",
       "      <th>VCF0486d</th>\n",
       "      <th>VCF0487</th>\n",
       "      <th>VCF0488a</th>\n",
       "      <th>VCF0488b</th>\n",
       "      <th>VCF0488c</th>\n",
       "      <th>VCF0488d</th>\n",
       "      <th>VCF0489a</th>\n",
       "      <th>VCF0489b</th>\n",
       "      <th>VCF0489c</th>\n",
       "      <th>VCF0489d</th>\n",
       "      <th>VCF0490a</th>\n",
       "      <th>VCF0490b</th>\n",
       "      <th>VCF0490c</th>\n",
       "      <th>VCF0490d</th>\n",
       "      <th>VCF0491a</th>\n",
       "      <th>VCF0491b</th>\n",
       "      <th>VCF0491c</th>\n",
       "      <th>VCF0491d</th>\n",
       "      <th>VCF0492a</th>\n",
       "      <th>VCF0492b</th>\n",
       "      <th>VCF0492c</th>\n",
       "      <th>VCF0492d</th>\n",
       "      <th>VCF0493</th>\n",
       "      <th>VCF0494a</th>\n",
       "      <th>VCF0494b</th>\n",
       "      <th>VCF0494c</th>\n",
       "      <th>VCF0494d</th>\n",
       "      <th>VCF0495a</th>\n",
       "      <th>VCF0495b</th>\n",
       "      <th>VCF0495c</th>\n",
       "      <th>VCF0495d</th>\n",
       "      <th>VCF0496a</th>\n",
       "      <th>VCF0496b</th>\n",
       "      <th>VCF0496c</th>\n",
       "      <th>VCF0496d</th>\n",
       "      <th>VCF0497a</th>\n",
       "      <th>VCF0497b</th>\n",
       "      <th>VCF0497c</th>\n",
       "      <th>VCF0497d</th>\n",
       "      <th>VCF0498a</th>\n",
       "      <th>VCF0498b</th>\n",
       "      <th>VCF0498c</th>\n",
       "      <th>VCF0498d</th>\n",
       "      <th>VCF0501</th>\n",
       "      <th>VCF0502</th>\n",
       "      <th>VCF0502a</th>\n",
       "      <th>VCF0503</th>\n",
       "      <th>VCF0504</th>\n",
       "      <th>VCF0507</th>\n",
       "      <th>VCF0508</th>\n",
       "      <th>VCF0509</th>\n",
       "      <th>VCF0512</th>\n",
       "      <th>VCF0513</th>\n",
       "      <th>VCF0514</th>\n",
       "      <th>VCF0517</th>\n",
       "      <th>VCF0518</th>\n",
       "      <th>VCF0521</th>\n",
       "      <th>VCF0521a</th>\n",
       "      <th>VCF0522</th>\n",
       "      <th>VCF0523</th>\n",
       "      <th>VCF0524</th>\n",
       "      <th>VCF0525</th>\n",
       "      <th>VCF0528</th>\n",
       "      <th>VCF0529</th>\n",
       "      <th>VCF0533</th>\n",
       "      <th>VCF0534</th>\n",
       "      <th>VCF0537</th>\n",
       "      <th>VCF0538</th>\n",
       "      <th>VCF0541</th>\n",
       "      <th>VCF0542</th>\n",
       "      <th>VCF0545</th>\n",
       "      <th>VCF0546</th>\n",
       "      <th>VCF0549</th>\n",
       "      <th>VCF0550</th>\n",
       "      <th>VCF0601</th>\n",
       "      <th>VCF0602</th>\n",
       "      <th>VCF0603</th>\n",
       "      <th>VCF0604</th>\n",
       "      <th>VCF0605</th>\n",
       "      <th>VCF0606</th>\n",
       "      <th>VCF0607</th>\n",
       "      <th>VCF0608</th>\n",
       "      <th>VCF0609</th>\n",
       "      <th>VCF0610</th>\n",
       "      <th>VCF0611</th>\n",
       "      <th>VCF0612</th>\n",
       "      <th>VCF0613</th>\n",
       "      <th>VCF0614</th>\n",
       "      <th>VCF0615</th>\n",
       "      <th>VCF0616</th>\n",
       "      <th>VCF0617</th>\n",
       "      <th>VCF0618</th>\n",
       "      <th>VCF0619</th>\n",
       "      <th>VCF0620</th>\n",
       "      <th>VCF0621</th>\n",
       "      <th>VCF0622</th>\n",
       "      <th>VCF0623</th>\n",
       "      <th>VCF0624</th>\n",
       "      <th>VCF0625</th>\n",
       "      <th>VCF0626</th>\n",
       "      <th>VCF0627</th>\n",
       "      <th>VCF0628</th>\n",
       "      <th>VCF0629</th>\n",
       "      <th>VCF0630</th>\n",
       "      <th>VCF0631</th>\n",
       "      <th>VCF0632</th>\n",
       "      <th>VCF0633</th>\n",
       "      <th>VCF0634</th>\n",
       "      <th>VCF0640</th>\n",
       "      <th>VCF0648</th>\n",
       "      <th>VCF0649</th>\n",
       "      <th>VCF0650</th>\n",
       "      <th>VCF0651</th>\n",
       "      <th>VCF0652</th>\n",
       "      <th>VCF0653</th>\n",
       "      <th>VCF0654</th>\n",
       "      <th>VCF0655</th>\n",
       "      <th>VCF0656</th>\n",
       "      <th>VCF0675</th>\n",
       "      <th>VCF0700</th>\n",
       "      <th>...</th>\n",
       "      <th>VCF0728</th>\n",
       "      <th>VCF0729</th>\n",
       "      <th>VCF0730</th>\n",
       "      <th>VCF0731</th>\n",
       "      <th>VCF0732</th>\n",
       "      <th>VCF0733</th>\n",
       "      <th>VCF0734</th>\n",
       "      <th>VCF0735</th>\n",
       "      <th>VCF0736</th>\n",
       "      <th>VCF0737</th>\n",
       "      <th>VCF0738</th>\n",
       "      <th>VCF0738a</th>\n",
       "      <th>VCF0739</th>\n",
       "      <th>VCF0740</th>\n",
       "      <th>VCF0741</th>\n",
       "      <th>VCF0742</th>\n",
       "      <th>VCF0743</th>\n",
       "      <th>VCF0744</th>\n",
       "      <th>VCF0745</th>\n",
       "      <th>VCF0746</th>\n",
       "      <th>VCF0747</th>\n",
       "      <th>VCF0748</th>\n",
       "      <th>VCF0749</th>\n",
       "      <th>VCF0750</th>\n",
       "      <th>VCF0801</th>\n",
       "      <th>VCF0803</th>\n",
       "      <th>VCF0804</th>\n",
       "      <th>VCF0805</th>\n",
       "      <th>VCF0806</th>\n",
       "      <th>VCF0808</th>\n",
       "      <th>VCF0809</th>\n",
       "      <th>VCF0811</th>\n",
       "      <th>VCF0813</th>\n",
       "      <th>VCF0814</th>\n",
       "      <th>VCF0815</th>\n",
       "      <th>VCF0816</th>\n",
       "      <th>VCF0817</th>\n",
       "      <th>VCF0818</th>\n",
       "      <th>VCF0819</th>\n",
       "      <th>VCF0820</th>\n",
       "      <th>VCF0821</th>\n",
       "      <th>VCF0822</th>\n",
       "      <th>VCF0823</th>\n",
       "      <th>VCF0824</th>\n",
       "      <th>VCF0825</th>\n",
       "      <th>VCF0826</th>\n",
       "      <th>VCF0827</th>\n",
       "      <th>VCF0827a</th>\n",
       "      <th>VCF0828</th>\n",
       "      <th>VCF0829</th>\n",
       "      <th>VCF0830</th>\n",
       "      <th>VCF0832</th>\n",
       "      <th>VCF0833</th>\n",
       "      <th>VCF0834</th>\n",
       "      <th>VCF0836</th>\n",
       "      <th>VCF0837</th>\n",
       "      <th>VCF0838</th>\n",
       "      <th>VCF0839</th>\n",
       "      <th>VCF0840</th>\n",
       "      <th>VCF0841</th>\n",
       "      <th>VCF0842</th>\n",
       "      <th>VCF0843</th>\n",
       "      <th>VCF0844</th>\n",
       "      <th>VCF0845</th>\n",
       "      <th>VCF0846</th>\n",
       "      <th>VCF0847</th>\n",
       "      <th>VCF0848</th>\n",
       "      <th>VCF0848a</th>\n",
       "      <th>VCF0849</th>\n",
       "      <th>VCF0850</th>\n",
       "      <th>VCF0851</th>\n",
       "      <th>VCF0852</th>\n",
       "      <th>VCF0853</th>\n",
       "      <th>VCF0854</th>\n",
       "      <th>VCF0860</th>\n",
       "      <th>VCF0861</th>\n",
       "      <th>VCF0862</th>\n",
       "      <th>VCF0863</th>\n",
       "      <th>VCF0864</th>\n",
       "      <th>VCF0865</th>\n",
       "      <th>VCF0866</th>\n",
       "      <th>VCF0867</th>\n",
       "      <th>VCF0867a</th>\n",
       "      <th>VCF0870</th>\n",
       "      <th>VCF0871</th>\n",
       "      <th>VCF0872</th>\n",
       "      <th>VCF0873</th>\n",
       "      <th>VCF0875</th>\n",
       "      <th>VCF0875a</th>\n",
       "      <th>VCF0875b</th>\n",
       "      <th>VCF0876</th>\n",
       "      <th>VCF0876a</th>\n",
       "      <th>VCF0877</th>\n",
       "      <th>VCF0877a</th>\n",
       "      <th>VCF0878</th>\n",
       "      <th>VCF0879</th>\n",
       "      <th>VCF0879a</th>\n",
       "      <th>VCF0880</th>\n",
       "      <th>VCF0880a</th>\n",
       "      <th>VCF0880b</th>\n",
       "      <th>VCF0881</th>\n",
       "      <th>VCF0886</th>\n",
       "      <th>VCF0887</th>\n",
       "      <th>VCF0888</th>\n",
       "      <th>VCF0889</th>\n",
       "      <th>VCF0890</th>\n",
       "      <th>VCF0891</th>\n",
       "      <th>VCF0892</th>\n",
       "      <th>VCF0893</th>\n",
       "      <th>VCF0894</th>\n",
       "      <th>VCF0900</th>\n",
       "      <th>VCF0900b</th>\n",
       "      <th>VCF0900c</th>\n",
       "      <th>VCF0901a</th>\n",
       "      <th>VCF0901b</th>\n",
       "      <th>VCF0902</th>\n",
       "      <th>VCF0903</th>\n",
       "      <th>VCF0904</th>\n",
       "      <th>VCF0905</th>\n",
       "      <th>VCF0906</th>\n",
       "      <th>VCF0907</th>\n",
       "      <th>VCF0908</th>\n",
       "      <th>VCF0909</th>\n",
       "      <th>VCF0910</th>\n",
       "      <th>VCF0911</th>\n",
       "      <th>VCF0912</th>\n",
       "      <th>VCF0913</th>\n",
       "      <th>VCF0914</th>\n",
       "      <th>VCF0915</th>\n",
       "      <th>VCF0916</th>\n",
       "      <th>VCF0917</th>\n",
       "      <th>VCF0918</th>\n",
       "      <th>VCF0919</th>\n",
       "      <th>VCF0920</th>\n",
       "      <th>VCF0921</th>\n",
       "      <th>VCF0922</th>\n",
       "      <th>VCF0923</th>\n",
       "      <th>VCF0924</th>\n",
       "      <th>VCF0925</th>\n",
       "      <th>VCF0926</th>\n",
       "      <th>VCF0927</th>\n",
       "      <th>VCF0928</th>\n",
       "      <th>VCF0929</th>\n",
       "      <th>VCF0930</th>\n",
       "      <th>VCF0931</th>\n",
       "      <th>VCF0932</th>\n",
       "      <th>VCF0933</th>\n",
       "      <th>VCF0934</th>\n",
       "      <th>VCF0935</th>\n",
       "      <th>VCF0936</th>\n",
       "      <th>VCF0937</th>\n",
       "      <th>VCF0938</th>\n",
       "      <th>VCF0939</th>\n",
       "      <th>VCF0940</th>\n",
       "      <th>VCF0941</th>\n",
       "      <th>VCF0942</th>\n",
       "      <th>VCF0943</th>\n",
       "      <th>VCF0944</th>\n",
       "      <th>VCF0945</th>\n",
       "      <th>VCF0946</th>\n",
       "      <th>VCF0946a</th>\n",
       "      <th>VCF0947</th>\n",
       "      <th>VCF0947a</th>\n",
       "      <th>VCF0948</th>\n",
       "      <th>VCF0948a</th>\n",
       "      <th>VCF0949</th>\n",
       "      <th>VCF0949a</th>\n",
       "      <th>VCF0950</th>\n",
       "      <th>VCF0951</th>\n",
       "      <th>VCF0952</th>\n",
       "      <th>VCF0953</th>\n",
       "      <th>VCF0954</th>\n",
       "      <th>VCF0955</th>\n",
       "      <th>VCF0956</th>\n",
       "      <th>VCF0957</th>\n",
       "      <th>VCF0958</th>\n",
       "      <th>VCF0959</th>\n",
       "      <th>VCF0960</th>\n",
       "      <th>VCF0961</th>\n",
       "      <th>VCF0962</th>\n",
       "      <th>VCF0963</th>\n",
       "      <th>VCF0964</th>\n",
       "      <th>VCF0965</th>\n",
       "      <th>VCF0966</th>\n",
       "      <th>VCF0967</th>\n",
       "      <th>VCF0968</th>\n",
       "      <th>VCF0969</th>\n",
       "      <th>VCF0970</th>\n",
       "      <th>VCF0971</th>\n",
       "      <th>VCF0972</th>\n",
       "      <th>VCF0973</th>\n",
       "      <th>VCF0974</th>\n",
       "      <th>VCF0975</th>\n",
       "      <th>VCF0976</th>\n",
       "      <th>VCF0977</th>\n",
       "      <th>VCF0978</th>\n",
       "      <th>VCF0980</th>\n",
       "      <th>VCF0981</th>\n",
       "      <th>VCF0982</th>\n",
       "      <th>VCF0983</th>\n",
       "      <th>VCF0984</th>\n",
       "      <th>VCF0985</th>\n",
       "      <th>VCF0986</th>\n",
       "      <th>VCF0987</th>\n",
       "      <th>VCF0988</th>\n",
       "      <th>VCF0989</th>\n",
       "      <th>VCF0990</th>\n",
       "      <th>VCF0991</th>\n",
       "      <th>VCF0992</th>\n",
       "      <th>VCF0993</th>\n",
       "      <th>VCF0994</th>\n",
       "      <th>VCF0995</th>\n",
       "      <th>VCF0996</th>\n",
       "      <th>VCF0997</th>\n",
       "      <th>VCF0998</th>\n",
       "      <th>VCF0999</th>\n",
       "      <th>VCF1000</th>\n",
       "      <th>VCF1001</th>\n",
       "      <th>VCF1002</th>\n",
       "      <th>VCF1003</th>\n",
       "      <th>VCF1004</th>\n",
       "      <th>VCF1005</th>\n",
       "      <th>VCF1006</th>\n",
       "      <th>VCF1007</th>\n",
       "      <th>VCF1008</th>\n",
       "      <th>VCF1009</th>\n",
       "      <th>VCF1010</th>\n",
       "      <th>VCF1011</th>\n",
       "      <th>VCF1012</th>\n",
       "      <th>VCF1013</th>\n",
       "      <th>VCF1014</th>\n",
       "      <th>VCF1015</th>\n",
       "      <th>VCF1016</th>\n",
       "      <th>VCF1017</th>\n",
       "      <th>VCF1018</th>\n",
       "      <th>VCF1020</th>\n",
       "      <th>VCF1021a</th>\n",
       "      <th>VCF1021b</th>\n",
       "      <th>VCF1022a</th>\n",
       "      <th>VCF1022b</th>\n",
       "      <th>VCF1023a</th>\n",
       "      <th>VCF1023b</th>\n",
       "      <th>VCF1024a</th>\n",
       "      <th>VCF1024b</th>\n",
       "      <th>VCF1025a</th>\n",
       "      <th>VCF1025b</th>\n",
       "      <th>VCF1026</th>\n",
       "      <th>VCF1027a</th>\n",
       "      <th>VCF1027b</th>\n",
       "      <th>VCF1028a</th>\n",
       "      <th>VCF1028b</th>\n",
       "      <th>VCF1029a</th>\n",
       "      <th>VCF1029b</th>\n",
       "      <th>VCF1030a</th>\n",
       "      <th>VCF1030b</th>\n",
       "      <th>VCF1031a</th>\n",
       "      <th>VCF1031b</th>\n",
       "      <th>VCF1032</th>\n",
       "      <th>VCF1033a</th>\n",
       "      <th>VCF1033b</th>\n",
       "      <th>VCF1034a</th>\n",
       "      <th>VCF1034b</th>\n",
       "      <th>VCF1035a</th>\n",
       "      <th>VCF1035b</th>\n",
       "      <th>VCF1036a</th>\n",
       "      <th>VCF1036b</th>\n",
       "      <th>VCF1037a</th>\n",
       "      <th>VCF1037b</th>\n",
       "      <th>VCF1038</th>\n",
       "      <th>VCF1039a</th>\n",
       "      <th>VCF1039b</th>\n",
       "      <th>VCF1040a</th>\n",
       "      <th>VCF1040b</th>\n",
       "      <th>VCF1041a</th>\n",
       "      <th>VCF1041b</th>\n",
       "      <th>VCF1042a</th>\n",
       "      <th>VCF1042b</th>\n",
       "      <th>VCF1043a</th>\n",
       "      <th>VCF1043b</th>\n",
       "      <th>VCF9001</th>\n",
       "      <th>VCF9002</th>\n",
       "      <th>VCF9003</th>\n",
       "      <th>VCF9004</th>\n",
       "      <th>VCF9005</th>\n",
       "      <th>VCF9006</th>\n",
       "      <th>VCF9007</th>\n",
       "      <th>VCF9008</th>\n",
       "      <th>VCF9009</th>\n",
       "      <th>VCF9010</th>\n",
       "      <th>VCF9011</th>\n",
       "      <th>VCF9012</th>\n",
       "      <th>VCF9013</th>\n",
       "      <th>VCF9014</th>\n",
       "      <th>VCF9015</th>\n",
       "      <th>VCF9016</th>\n",
       "      <th>VCF9017</th>\n",
       "      <th>VCF9018</th>\n",
       "      <th>VCF9019</th>\n",
       "      <th>VCF9020</th>\n",
       "      <th>VCF9021</th>\n",
       "      <th>VCF9022</th>\n",
       "      <th>VCF9023</th>\n",
       "      <th>VCF9024</th>\n",
       "      <th>VCF9025</th>\n",
       "      <th>VCF9026</th>\n",
       "      <th>VCF9027</th>\n",
       "      <th>VCF9028</th>\n",
       "      <th>VCF9029</th>\n",
       "      <th>VCF9030</th>\n",
       "      <th>VCF9030a</th>\n",
       "      <th>VCF9030b</th>\n",
       "      <th>VCF9030c</th>\n",
       "      <th>VCF9031</th>\n",
       "      <th>VCF9032</th>\n",
       "      <th>VCF9033</th>\n",
       "      <th>VCF9034</th>\n",
       "      <th>VCF9035</th>\n",
       "      <th>VCF9036</th>\n",
       "      <th>VCF9037</th>\n",
       "      <th>VCF9038</th>\n",
       "      <th>VCF9039</th>\n",
       "      <th>VCF9040</th>\n",
       "      <th>VCF9041</th>\n",
       "      <th>VCF9042</th>\n",
       "      <th>VCF9043</th>\n",
       "      <th>VCF9043a</th>\n",
       "      <th>VCF9044</th>\n",
       "      <th>VCF9044a</th>\n",
       "      <th>VCF9045</th>\n",
       "      <th>VCF9046</th>\n",
       "      <th>VCF9047</th>\n",
       "      <th>VCF9048</th>\n",
       "      <th>VCF9049</th>\n",
       "      <th>VCF9050</th>\n",
       "      <th>VCF9051</th>\n",
       "      <th>VCF9052</th>\n",
       "      <th>VCF9053</th>\n",
       "      <th>VCF9054</th>\n",
       "      <th>VCF9055</th>\n",
       "      <th>VCF9056</th>\n",
       "      <th>VCF9057</th>\n",
       "      <th>VCF9058</th>\n",
       "      <th>VCF9059</th>\n",
       "      <th>VCF9060</th>\n",
       "      <th>VCF9061</th>\n",
       "      <th>VCF9062</th>\n",
       "      <th>VCF9063</th>\n",
       "      <th>VCF9064</th>\n",
       "      <th>VCF9065</th>\n",
       "      <th>VCF9066</th>\n",
       "      <th>VCF9067</th>\n",
       "      <th>VCF9069</th>\n",
       "      <th>VCF9070</th>\n",
       "      <th>VCF9071</th>\n",
       "      <th>VCF9072</th>\n",
       "      <th>VCF9073</th>\n",
       "      <th>VCF9074</th>\n",
       "      <th>VCF9075</th>\n",
       "      <th>VCF9076</th>\n",
       "      <th>VCF9077</th>\n",
       "      <th>VCF9078</th>\n",
       "      <th>VCF9079</th>\n",
       "      <th>VCF9080</th>\n",
       "      <th>VCF9081</th>\n",
       "      <th>VCF9082</th>\n",
       "      <th>VCF9083</th>\n",
       "      <th>VCF9084</th>\n",
       "      <th>VCF9085</th>\n",
       "      <th>VCF9086</th>\n",
       "      <th>VCF9087</th>\n",
       "      <th>VCF9088</th>\n",
       "      <th>VCF9089</th>\n",
       "      <th>VCF9090</th>\n",
       "      <th>VCF9091</th>\n",
       "      <th>VCF9092</th>\n",
       "      <th>VCF9093</th>\n",
       "      <th>VCF9094</th>\n",
       "      <th>VCF9095</th>\n",
       "      <th>VCF9096</th>\n",
       "      <th>VCF9097</th>\n",
       "      <th>VCF9098</th>\n",
       "      <th>VCF9099</th>\n",
       "      <th>VCF9100</th>\n",
       "      <th>VCF9101</th>\n",
       "      <th>VCF9102</th>\n",
       "      <th>VCF9103</th>\n",
       "      <th>VCF9104</th>\n",
       "      <th>VCF9105</th>\n",
       "      <th>VCF9106</th>\n",
       "      <th>VCF9107</th>\n",
       "      <th>VCF9108</th>\n",
       "      <th>VCF9109</th>\n",
       "      <th>VCF9110</th>\n",
       "      <th>VCF9111</th>\n",
       "      <th>VCF9112</th>\n",
       "      <th>VCF9113</th>\n",
       "      <th>VCF9114</th>\n",
       "      <th>VCF9115</th>\n",
       "      <th>VCF9116</th>\n",
       "      <th>VCF9117</th>\n",
       "      <th>VCF9118</th>\n",
       "      <th>VCF9119</th>\n",
       "      <th>VCF9120</th>\n",
       "      <th>VCF9121</th>\n",
       "      <th>VCF9122</th>\n",
       "      <th>VCF9123</th>\n",
       "      <th>VCF9124</th>\n",
       "      <th>VCF9125</th>\n",
       "      <th>VCF9131</th>\n",
       "      <th>VCF9132</th>\n",
       "      <th>VCF9133</th>\n",
       "      <th>VCF9134</th>\n",
       "      <th>VCF9149</th>\n",
       "      <th>VCF9150</th>\n",
       "      <th>VCF9151</th>\n",
       "      <th>VCF9152</th>\n",
       "      <th>VCF9153</th>\n",
       "      <th>VCF9154</th>\n",
       "      <th>VCF9155</th>\n",
       "      <th>VCF9201</th>\n",
       "      <th>VCF9202</th>\n",
       "      <th>VCF9203</th>\n",
       "      <th>VCF9204</th>\n",
       "      <th>VCF9205</th>\n",
       "      <th>VCF9206</th>\n",
       "      <th>VCF9207</th>\n",
       "      <th>VCF9208</th>\n",
       "      <th>VCF9209</th>\n",
       "      <th>VCF9210</th>\n",
       "      <th>VCF9211</th>\n",
       "      <th>VCF9212</th>\n",
       "      <th>VCF9213</th>\n",
       "      <th>VCF9214</th>\n",
       "      <th>VCF9215</th>\n",
       "      <th>VCF9216</th>\n",
       "      <th>VCF9217</th>\n",
       "      <th>VCF9218</th>\n",
       "      <th>VCF9219</th>\n",
       "      <th>VCF9220</th>\n",
       "      <th>VCF9221</th>\n",
       "      <th>VCF9222</th>\n",
       "      <th>VCF9223</th>\n",
       "      <th>VCF9224</th>\n",
       "      <th>VCF9225</th>\n",
       "      <th>VCF9226</th>\n",
       "      <th>VCF9227</th>\n",
       "      <th>VCF9228</th>\n",
       "      <th>VCF9229</th>\n",
       "      <th>VCF9230</th>\n",
       "      <th>VCF9231</th>\n",
       "      <th>VCF9232</th>\n",
       "      <th>VCF9233</th>\n",
       "      <th>VCF9234</th>\n",
       "      <th>VCF9235</th>\n",
       "      <th>VCF9236</th>\n",
       "      <th>VCF9237</th>\n",
       "      <th>VCF9238</th>\n",
       "      <th>VCF9239</th>\n",
       "      <th>VCF9240</th>\n",
       "      <th>VCF9241</th>\n",
       "      <th>VCF9242</th>\n",
       "      <th>VCF9243</th>\n",
       "      <th>VCF9244</th>\n",
       "      <th>VCF9245</th>\n",
       "      <th>VCF9246</th>\n",
       "      <th>VCF9247</th>\n",
       "      <th>VCF9248</th>\n",
       "      <th>VCF9249</th>\n",
       "      <th>VCF9250</th>\n",
       "      <th>VCF9251</th>\n",
       "      <th>VCF9252</th>\n",
       "      <th>VCF9253</th>\n",
       "      <th>VCF9254</th>\n",
       "      <th>VCF9255</th>\n",
       "      <th>VCF9256</th>\n",
       "      <th>VCF9257</th>\n",
       "      <th>VCF9258</th>\n",
       "      <th>VCF9259</th>\n",
       "      <th>VCF9260</th>\n",
       "      <th>VCF9261</th>\n",
       "      <th>VCF9262</th>\n",
       "      <th>VCF9263</th>\n",
       "      <th>VCF9264</th>\n",
       "      <th>VCF9265</th>\n",
       "      <th>VCF9266</th>\n",
       "      <th>VCF9267</th>\n",
       "      <th>VCF9268</th>\n",
       "      <th>VCF9269</th>\n",
       "      <th>VCF9270</th>\n",
       "      <th>VCF9271</th>\n",
       "      <th>VCF9272</th>\n",
       "      <th>VCF9273</th>\n",
       "      <th>VCF9274</th>\n",
       "      <th>VCF9275</th>\n",
       "      <th>VCF9277</th>\n",
       "      <th>VCF9278</th>\n",
       "      <th>VCF9279</th>\n",
       "      <th>VCF9280</th>\n",
       "      <th>VCF9281</th>\n",
       "      <th>VCF9282</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>904</th>\n",
       "      <td>ANES_CDF_VERSION:2021-Nov-18</td>\n",
       "      <td>1952</td>\n",
       "      <td>262</td>\n",
       "      <td>19520262</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>37</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>149</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td>149</td>\n",
       "      <td>1</td>\n",
       "      <td>199</td>\n",
       "      <td>199</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>-2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>-5</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1353</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2348</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2230</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2330</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3913</td>\n",
       "      <td>10</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3347</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3564</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>-5</td>\n",
       "      <td>5</td>\n",
       "      <td>-3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>6850</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>7601</td>\n",
       "      <td>26</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>7251</td>\n",
       "      <td>22</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>7305</td>\n",
       "      <td>23</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>7840</td>\n",
       "      <td>29</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9999</td>\n",
       "      <td>48</td>\n",
       "      <td>TX</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>47</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46157</th>\n",
       "      <td>ANES_CDF_VERSION:2021-Nov-18</td>\n",
       "      <td>2002</td>\n",
       "      <td>1445</td>\n",
       "      <td>20000440</td>\n",
       "      <td>0.8169</td>\n",
       "      <td>0.8169</td>\n",
       "      <td>0.8169</td>\n",
       "      <td>0.8169</td>\n",
       "      <td>0.8169</td>\n",
       "      <td>0.8169</td>\n",
       "      <td>0.8169</td>\n",
       "      <td>0.8169</td>\n",
       "      <td>0.8169</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>66</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>998</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td></td>\n",
       "      <td>50</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>75</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>40</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td>40</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>75</td>\n",
       "      <td>40</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>33</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>49</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4104</td>\n",
       "      <td>OR04</td>\n",
       "      <td>41</td>\n",
       "      <td>OR</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>75</td>\n",
       "      <td>997</td>\n",
       "      <td>75</td>\n",
       "      <td>997</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>998</td>\n",
       "      <td>998</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>99</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>75</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td>25</td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>60</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33674</th>\n",
       "      <td>ANES_CDF_VERSION:2021-Nov-18</td>\n",
       "      <td>1990</td>\n",
       "      <td>22</td>\n",
       "      <td>19900022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>877</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>144</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>60</td>\n",
       "      <td>3</td>\n",
       "      <td>304</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>38</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>13031</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>98</td>\n",
       "      <td></td>\n",
       "      <td>85</td>\n",
       "      <td></td>\n",
       "      <td>98</td>\n",
       "      <td>97</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>85</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>998</td>\n",
       "      <td>998</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>999</td>\n",
       "      <td>99</td>\n",
       "      <td>999</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>98</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>98</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>98</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>100</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>999</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>...</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td>98</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>400</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>1301</td>\n",
       "      <td>GA01</td>\n",
       "      <td>13</td>\n",
       "      <td>GA</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>997</td>\n",
       "      <td>997</td>\n",
       "      <td>997</td>\n",
       "      <td>997</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>999</td>\n",
       "      <td>99</td>\n",
       "      <td>999</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>999</td>\n",
       "      <td>99</td>\n",
       "      <td>999</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>99</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>99</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>999</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>98</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>997</td>\n",
       "      <td>990</td>\n",
       "      <td>997</td>\n",
       "      <td>990</td>\n",
       "      <td>997</td>\n",
       "      <td>996</td>\n",
       "      <td>996</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>110</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>-8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>-8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>-9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>-9</td>\n",
       "      <td>-9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>-9</td>\n",
       "      <td>-9</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 1029 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Version  VCF0004  VCF0006  VCF0006a VCF0009x  \\\n",
       "904    ANES_CDF_VERSION:2021-Nov-18     1952      262  19520262        1   \n",
       "46157  ANES_CDF_VERSION:2021-Nov-18     2002     1445  20000440   0.8169   \n",
       "33674  ANES_CDF_VERSION:2021-Nov-18     1990       22  19900022        1   \n",
       "\n",
       "      VCF0010x VCF0011x VCF0009y VCF0010y VCF0011y  VCF0009z  VCF0010z  \\\n",
       "904          1        1        1        1        1    1.0000    1.0000   \n",
       "46157   0.8169   0.8169   0.8169   0.8169   0.8169    0.8169    0.8169   \n",
       "33674        1        1        1        1        1    1.0000    1.0000   \n",
       "\n",
       "       VCF0011z VCF0012 VCF0013 VCF0014 VCF0015a VCF0015b VCF0016  VCF0017  \\\n",
       "904      1.0000               1       1        0        1       0        0   \n",
       "46157    0.8169               1       1        0        0       1        3   \n",
       "33674    1.0000       1       1       0                 0       0        0   \n",
       "\n",
       "      VCF0018a VCF0018b VCF0019 VCF0050a VCF0050b VCF0070a VCF0070b VCF0071a  \\\n",
       "904          0        0       2                                                \n",
       "46157        0        0                1        2        2        2        1   \n",
       "33674                 0                         5                 2            \n",
       "\n",
       "      VCF0071b VCF0071c VCF0071d VCF0072a VCF0072b VCF0101  VCF0102  VCF0103  \\\n",
       "904                                                     37        3        6   \n",
       "46157        1        1        1        1        1      66        6        5   \n",
       "33674        1                 1                 1      59        5        5   \n",
       "\n",
       "       VCF0104 VCF0105a VCF0105b VCF0106 VCF0107 VCF0108 VCF0109  VCF0110  \\\n",
       "904          2        1        1       1                                3   \n",
       "46157        1        1        1       1       7       2                2   \n",
       "33674        2        2        2       2       7       2     877        2   \n",
       "\n",
       "      VCF0111 VCF0112 VCF0113 VCF0114 VCF0115 VCF0116 VCF0117 VCF0118 VCF0119  \\\n",
       "904         2       3       1       3       6                       4       1   \n",
       "46157               4       2                       5               3           \n",
       "33674       3       3       1       1       3       6               2           \n",
       "\n",
       "      VCF0120 VCF0121 VCF0122 VCF0123 VCF0124 VCF0125 VCF0126 VCF0126a  \\\n",
       "904                                                         5            \n",
       "46157                                                                    \n",
       "33674                                                                    \n",
       "\n",
       "      VCF0126b VCF0126c VCF0127 VCF0127a VCF0127b  VCF0128 VCF0128a VCF0128b  \\\n",
       "904                           2                 0        1                     \n",
       "46157                         2        0        0        4                     \n",
       "33674                         2        0        0        4                 1   \n",
       "\n",
       "      VCF0129 VCF0130 VCF0130a VCF0131 VCF0132 VCF0133 VCF0134 VCF0135  \\\n",
       "904                                  1             149       1           \n",
       "46157     998       5        5       0                                   \n",
       "33674               1        0             144               1       2   \n",
       "\n",
       "      VCF0136 VCF0137 VCF0138 VCF0138a VCF0138b VCF0138c VCF0138d VCF0138e  \\\n",
       "904                                                                          \n",
       "46157                                9        9        9        9            \n",
       "33674               1       0        0        0        0        0            \n",
       "\n",
       "      VCF0139 VCF0140 VCF0140a VCF0141 VCF0142 VCF0143 VCF0144 VCF0145  \\\n",
       "904                 5        5             149       1     199     199   \n",
       "46157               3        3                                           \n",
       "33674               2        2             144       1                   \n",
       "\n",
       "      VCF0146 VCF0147 VCF0148 VCF0148a VCF0149 VCF0150 VCF0151 VCF0152  \\\n",
       "904         1       1                                        6           \n",
       "46157       1       7                                                    \n",
       "33674       2       4       1        1       4      60       3     304   \n",
       "\n",
       "      VCF0153a VCF0153b VCF0153c VCF0154a VCF0154b VCF0155 VCF0156 VCF0157  \\\n",
       "904                                                                          \n",
       "46157                                                                        \n",
       "33674                                  38        8       5       0       0   \n",
       "\n",
       "      VCF0170a VCF0170b VCF0170c VCF0170d VCF0201 VCF0202 VCF0203 VCF0204  \\\n",
       "904                                                                         \n",
       "46157                                                          50      50   \n",
       "33674                               13031                                   \n",
       "\n",
       "      VCF0205 VCF0206 VCF0207 VCF0208 VCF0209 VCF0210 VCF0211 VCF0212 VCF0213  \\\n",
       "904                                                                             \n",
       "46157      50      75      75              50      60      50      50      75   \n",
       "33674              97                              98      98      98           \n",
       "\n",
       "      VCF0214 VCF0215 VCF0216 VCF0217 VCF0218 VCF0219 VCF0220 VCF0221 VCF0222  \\\n",
       "904                                                                             \n",
       "46157                              50                      40                   \n",
       "33674                                      98              85              98   \n",
       "\n",
       "      VCF0223 VCF0224 VCF0225 VCF0226 VCF0227 VCF0228 VCF0229 VCF0230 VCF0231  \\\n",
       "904                                                                             \n",
       "46157      50                              50      50      50              50   \n",
       "33674      97      98      98                              85      97           \n",
       "\n",
       "      VCF0232 VCF0233 VCF0234 VCF0235 VCF0236 VCF0253 VCF0290 VCF0291 VCF0301  \\\n",
       "904                                                                         2   \n",
       "46157      50              40                      50                       3   \n",
       "33674                                                     998     998       4   \n",
       "\n",
       "      VCF0302 VCF0303 VCF0305 VCF0306 VCF0307 VCF0308 VCF0309 VCF0310 VCF0311  \\\n",
       "904                 1       3       1       1                       3       1   \n",
       "46157       2       1       2                                       3           \n",
       "33674       3       2       1                                       1           \n",
       "\n",
       "      VCF0312 VCF0313 VCF0314 VCF0315 VCF0316 VCF0317 VCF0318 VCF0319 VCF0320  \\\n",
       "904                         1       3      -2       4       3       0       3   \n",
       "46157       2       3                                                           \n",
       "33674       1       1       9       9      99      99       9       9      99   \n",
       "\n",
       "      VCF0321 VCF0322 VCF0323 VCF0324 VCF0338 VCF0339 VCF0340 VCF0341 VCF0342  \\\n",
       "904         3      -5       7       1                                           \n",
       "46157                                       3                               0   \n",
       "33674      99     999      99     999                                           \n",
       "\n",
       "      VCF0343 VCF0344 VCF0345 VCF0346 VCF0347 VCF0348 VCF0349 VCF0350 VCF0351  \\\n",
       "904                                                                             \n",
       "46157       0       2       3                                                   \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0352 VCF0353 VCF0354 VCF0355 VCF0356 VCF0357 VCF0358 VCF0359 VCF0360  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0361 VCF0362 VCF0363 VCF0364 VCF0365 VCF0366 VCF0367 VCF0368 VCF0369  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0370 VCF0371 VCF0372 VCF0373 VCF0374 VCF0375a VCF0375b VCF0375c  \\\n",
       "904                                                                 1353   \n",
       "46157                                                                      \n",
       "33674                                                                      \n",
       "\n",
       "      VCF0375d VCF0376a VCF0376b VCF0376c VCF0376d VCF0377a VCF0377b VCF0377c  \\\n",
       "904          4                                                                  \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0377d VCF0378a VCF0378b VCF0378c VCF0378d VCF0379a VCF0379b VCF0379c  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0379d VCF0380 VCF0381a VCF0381b VCF0381c VCF0381d VCF0382a VCF0382b  \\\n",
       "904                                          2348        4                     \n",
       "46157                                                                          \n",
       "33674                                                                          \n",
       "\n",
       "      VCF0382c VCF0382d VCF0383a VCF0383b VCF0383c VCF0383d VCF0384a VCF0384b  \\\n",
       "904       2230        3                       2330        4                     \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0384c VCF0384d VCF0385a VCF0385b VCF0385c VCF0385d VCF0386 VCF0387a  \\\n",
       "904                                                                            \n",
       "46157                                                                          \n",
       "33674                                                                          \n",
       "\n",
       "      VCF0387b VCF0387c VCF0387d VCF0388a VCF0388b VCF0388c VCF0388d VCF0389a  \\\n",
       "904                3913       10                       3347        4            \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0389b VCF0389c VCF0389d VCF0390a VCF0390b VCF0390c VCF0390d VCF0391a  \\\n",
       "904                3564        6                                                \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0391b VCF0391c VCF0391d VCF0392 VCF0393a VCF0393b VCF0393c VCF0393d  \\\n",
       "904                                                                            \n",
       "46157                                                                          \n",
       "33674                                                                          \n",
       "\n",
       "      VCF0394a VCF0394b VCF0394c VCF0394d VCF0395a VCF0395b VCF0395c VCF0395d  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0396a VCF0396b VCF0396c VCF0396d VCF0397a VCF0397b VCF0397c VCF0397d  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0401 VCF0402 VCF0403 VCF0404 VCF0405 VCF0406 VCF0407 VCF0408 VCF0409  \\\n",
       "904         0       1      -1       1       4       0       4       4      -5   \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0410 VCF0411 VCF0412 VCF0413 VCF0414 VCF0415 VCF0424 VCF0425 VCF0426  \\\n",
       "904         5      -3                                                           \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0427 VCF0428 VCF0429 VCF0432 VCF0433 VCF0434 VCF0435 VCF0436 VCF0437  \\\n",
       "904                                                                             \n",
       "46157              50      50                                                   \n",
       "33674              98      98                                                   \n",
       "\n",
       "      VCF0438 VCF0439 VCF0440 VCF0441 VCF0442 VCF0443 VCF0444 VCF0445 VCF0446  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674      98                                      98                           \n",
       "\n",
       "      VCF0447 VCF0448 VCF0449 VCF0450 VCF0451 VCF0471 VCF0472 VCF0473 VCF0475  \\\n",
       "904                                                                             \n",
       "46157      75      40               1       2      50                           \n",
       "33674                               8       0                      98           \n",
       "\n",
       "      VCF0476a VCF0476b VCF0476c VCF0476d VCF0477a VCF0477b VCF0477c VCF0477d  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0478a VCF0478b VCF0478c VCF0478d VCF0479a VCF0479b VCF0479c VCF0479d  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0480a VCF0480b VCF0480c VCF0480d VCF0481 VCF0482a VCF0482b VCF0482c  \\\n",
       "904                                                                     6850   \n",
       "46157                                                                          \n",
       "33674                                                                          \n",
       "\n",
       "      VCF0482d VCF0483a VCF0483b VCF0483c VCF0483d VCF0484a VCF0484b VCF0484c  \\\n",
       "904         29                                                                  \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0484d VCF0485a VCF0485b VCF0485c VCF0485d VCF0486a VCF0486b VCF0486c  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0486d VCF0487 VCF0488a VCF0488b VCF0488c VCF0488d VCF0489a VCF0489b  \\\n",
       "904                                          7601       26                     \n",
       "46157                                                                          \n",
       "33674                                                                          \n",
       "\n",
       "      VCF0489c VCF0489d VCF0490a VCF0490b VCF0490c VCF0490d VCF0491a VCF0491b  \\\n",
       "904       7251       22                       7305       23                     \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0491c VCF0491d VCF0492a VCF0492b VCF0492c VCF0492d VCF0493 VCF0494a  \\\n",
       "904       7840       29                                                        \n",
       "46157                                                                          \n",
       "33674                                                                          \n",
       "\n",
       "      VCF0494b VCF0494c VCF0494d VCF0495a VCF0495b VCF0495c VCF0495d VCF0496a  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0496b VCF0496c VCF0496d VCF0497a VCF0497b VCF0497c VCF0497d VCF0498a  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0498b VCF0498c VCF0498d VCF0501 VCF0502 VCF0502a VCF0503 VCF0504  \\\n",
       "904                                    2                                    \n",
       "46157                                                                       \n",
       "33674                                  0       0        0       0       0   \n",
       "\n",
       "      VCF0507 VCF0508 VCF0509 VCF0512 VCF0513 VCF0514 VCF0517 VCF0518 VCF0521  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                       8       8           \n",
       "\n",
       "      VCF0521a VCF0522 VCF0523 VCF0524 VCF0525 VCF0528 VCF0529 VCF0533  \\\n",
       "904                                                                      \n",
       "46157                                                                    \n",
       "33674                                                                    \n",
       "\n",
       "      VCF0534 VCF0537 VCF0538 VCF0541 VCF0542 VCF0545 VCF0546 VCF0549 VCF0550  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                               8       8                       0       0   \n",
       "\n",
       "      VCF0601 VCF0602 VCF0603 VCF0604 VCF0605 VCF0606 VCF0607 VCF0608 VCF0609  \\\n",
       "904                                                                         1   \n",
       "46157                               2       1       1               3       1   \n",
       "33674                               9       9       9               9       9   \n",
       "\n",
       "      VCF0610 VCF0611 VCF0612 VCF0613 VCF0614 VCF0615 VCF0616 VCF0617 VCF0618  \\\n",
       "904                         1       1       1       2       1       2       2   \n",
       "46157                               1               3                           \n",
       "33674                               2       1                                   \n",
       "\n",
       "      VCF0619 VCF0620 VCF0621 VCF0622 VCF0623 VCF0624 VCF0625 VCF0626 VCF0627  \\\n",
       "904                                                                             \n",
       "46157       1       2       0                       1                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF0628 VCF0629 VCF0630 VCF0631 VCF0632 VCF0633 VCF0634 VCF0640 VCF0648  \\\n",
       "904                                                                         0   \n",
       "46157                                                                       0   \n",
       "33674                                                                     100   \n",
       "\n",
       "      VCF0649 VCF0650 VCF0651 VCF0652 VCF0653 VCF0654 VCF0655 VCF0656 VCF0675  \\\n",
       "904                                                                             \n",
       "46157       0                                                      33           \n",
       "33674                                                             999           \n",
       "\n",
       "      VCF0700  ... VCF0728 VCF0729 VCF0730 VCF0731 VCF0732 VCF0733 VCF0734  \\\n",
       "904         2  ...       4                                               9   \n",
       "46157          ...               1               1               3           \n",
       "33674          ...               1               5       5       0           \n",
       "\n",
       "      VCF0735 VCF0736 VCF0737 VCF0738 VCF0738a VCF0739 VCF0740 VCF0741  \\\n",
       "904                 1       2                                            \n",
       "46157      33       1       2                                2       2   \n",
       "33674       0       0       1                        2       2       2   \n",
       "\n",
       "      VCF0742 VCF0743 VCF0744 VCF0745 VCF0746 VCF0747 VCF0748 VCF0749 VCF0750  \\\n",
       "904                 5                                                           \n",
       "46157       2                                               5       3       7   \n",
       "33674       2                                                               9   \n",
       "\n",
       "      VCF0801 VCF0803 VCF0804 VCF0805 VCF0806 VCF0808 VCF0809 VCF0811 VCF0813  \\\n",
       "904                                                                             \n",
       "46157      49       4       2                       2                           \n",
       "33674      98       9       9                               2               2   \n",
       "\n",
       "      VCF0814 VCF0815 VCF0816 VCF0817 VCF0818 VCF0819 VCF0820 VCF0821 VCF0822  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       9               1                                                   \n",
       "\n",
       "      VCF0823 VCF0824 VCF0825 VCF0826 VCF0827 VCF0827a VCF0828 VCF0829  \\\n",
       "904                                 1       3                            \n",
       "46157       1       5                                                    \n",
       "33674       0       8                                                    \n",
       "\n",
       "      VCF0830 VCF0832 VCF0833 VCF0834 VCF0836 VCF0837 VCF0838 VCF0839 VCF0840  \\\n",
       "904                                         2                                   \n",
       "46157                                                                           \n",
       "33674       4                       0                       1       6           \n",
       "\n",
       "      VCF0841 VCF0842 VCF0843 VCF0844 VCF0845 VCF0846 VCF0847 VCF0848  \\\n",
       "904                                                                     \n",
       "46157                                               2       5       2   \n",
       "33674                       9               0       1       3       0   \n",
       "\n",
       "      VCF0848a VCF0849 VCF0850 VCF0851 VCF0852 VCF0853 VCF0854 VCF0860  \\\n",
       "904                                                                      \n",
       "46157        3       5                                                   \n",
       "33674        9       6       1       2       8       8       8           \n",
       "\n",
       "      VCF0861 VCF0862 VCF0863 VCF0864 VCF0865 VCF0866 VCF0867 VCF0867a  \\\n",
       "904                                                                      \n",
       "46157                                                                    \n",
       "33674                                                       5        4   \n",
       "\n",
       "      VCF0870 VCF0871 VCF0872 VCF0873 VCF0875 VCF0875a VCF0875b VCF0876  \\\n",
       "904                                                                       \n",
       "46157       5       5                                                     \n",
       "33674       5       5       5               2               400           \n",
       "\n",
       "      VCF0876a VCF0877 VCF0877a VCF0878 VCF0879 VCF0879a VCF0880 VCF0880a  \\\n",
       "904                                                                         \n",
       "46157                                                          2        3   \n",
       "33674                                                          2        3   \n",
       "\n",
       "      VCF0880b VCF0881 VCF0886 VCF0887 VCF0888 VCF0889 VCF0890 VCF0891  \\\n",
       "904                                                                      \n",
       "46157                        9       2       1       2       9           \n",
       "33674                2               1               8       8           \n",
       "\n",
       "      VCF0892 VCF0893 VCF0894 VCF0900 VCF0900b VCF0900c VCF0901a VCF0901b  \\\n",
       "904                                                9999       48       TX   \n",
       "46157       3               2       4     4104     OR04       41       OR   \n",
       "33674       8       1               1     1301     GA01       13       GA   \n",
       "\n",
       "      VCF0902 VCF0903 VCF0904 VCF0905 VCF0906 VCF0907 VCF0908 VCF0909 VCF0910  \\\n",
       "904                                                                             \n",
       "46157      12       1       2       2      75     997      75     997           \n",
       "33674      12       1       2       2     997     997     997     997       5   \n",
       "\n",
       "      VCF0911 VCF0912 VCF0913 VCF0914 VCF0915 VCF0916 VCF0917 VCF0918 VCF0919  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       0       0       0       0       0       0       0       5       5   \n",
       "\n",
       "      VCF0920 VCF0921 VCF0922 VCF0923 VCF0924 VCF0925 VCF0926 VCF0927 VCF0928  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       0       0       0       0       0       0       0       5       5   \n",
       "\n",
       "      VCF0929 VCF0930 VCF0931 VCF0932 VCF0933 VCF0934 VCF0935 VCF0936 VCF0937  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       0       0       0       0       0       0       0       5       5   \n",
       "\n",
       "      VCF0938 VCF0939 VCF0940 VCF0941 VCF0942 VCF0943 VCF0944 VCF0945 VCF0946  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       0       0       0       0       0       0       0       5       0   \n",
       "\n",
       "      VCF0946a VCF0947 VCF0947a VCF0948 VCF0948a VCF0949 VCF0949a VCF0950  \\\n",
       "904                                                                         \n",
       "46157                                                                       \n",
       "33674        5       0        5       0        5       0        5       5   \n",
       "\n",
       "      VCF0951 VCF0952 VCF0953 VCF0954 VCF0955 VCF0956 VCF0957 VCF0958 VCF0959  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       0       0       0       0       0       5       0       0       9   \n",
       "\n",
       "      VCF0960 VCF0961 VCF0962 VCF0963 VCF0964 VCF0965 VCF0966 VCF0967 VCF0968  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       5       5       0       0       0       0       0       5       0   \n",
       "\n",
       "      VCF0969 VCF0970 VCF0971 VCF0972 VCF0973 VCF0974 VCF0975 VCF0976 VCF0977  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       0       9       5       5       7       7       7       0       5   \n",
       "\n",
       "      VCF0978 VCF0980 VCF0981 VCF0982 VCF0983 VCF0984 VCF0985 VCF0986 VCF0987  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       9       6       6      99      99       6       6      99      99   \n",
       "\n",
       "      VCF0988 VCF0989 VCF0990 VCF0991 VCF0992 VCF0993 VCF0994 VCF0995 VCF0996  \\\n",
       "904                                                                             \n",
       "46157                                       1                                   \n",
       "33674     999      99     999       8       8       6       6      99      99   \n",
       "\n",
       "      VCF0997 VCF0998 VCF0999 VCF1000 VCF1001 VCF1002 VCF1003 VCF1004 VCF1005  \\\n",
       "904                                                                             \n",
       "46157                                                               1       1   \n",
       "33674       6       6      99      99     999      99     999       9       9   \n",
       "\n",
       "      VCF1006 VCF1007 VCF1008 VCF1009 VCF1010 VCF1011 VCF1012 VCF1013 VCF1014  \\\n",
       "904                                                                             \n",
       "46157                                               1       1       1       1   \n",
       "33674      99      99      99       4       9       9       9       9       1   \n",
       "\n",
       "      VCF1015 VCF1016 VCF1017 VCF1018 VCF1020 VCF1021a VCF1021b VCF1022a  \\\n",
       "904        47                                                              \n",
       "46157      13       1     998     998                                      \n",
       "33674      99       1     999     999       5                              \n",
       "\n",
       "      VCF1022b VCF1023a VCF1023b VCF1024a VCF1024b VCF1025a VCF1025b VCF1026  \\\n",
       "904                                                                            \n",
       "46157                                                                          \n",
       "33674                                                                          \n",
       "\n",
       "      VCF1027a VCF1027b VCF1028a VCF1028b VCF1029a VCF1029b VCF1030a VCF1030b  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF1031a VCF1031b VCF1032 VCF1033a VCF1033b VCF1034a VCF1034b VCF1035a  \\\n",
       "904                                                                            \n",
       "46157                                                                          \n",
       "33674                         5                                                \n",
       "\n",
       "      VCF1035b VCF1036a VCF1036b VCF1037a VCF1037b VCF1038 VCF1039a VCF1039b  \\\n",
       "904                                                                            \n",
       "46157                                                                          \n",
       "33674                                                                          \n",
       "\n",
       "      VCF1040a VCF1040b VCF1041a VCF1041b VCF1042a VCF1042b VCF1043a VCF1043b  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF9001 VCF9002 VCF9003 VCF9004 VCF9005 VCF9006 VCF9007 VCF9008 VCF9009  \\\n",
       "904                                                                             \n",
       "46157      99       0              75      50              25               9   \n",
       "33674      15       2                                      98       8       9   \n",
       "\n",
       "      VCF9010 VCF9011 VCF9012 VCF9013 VCF9014 VCF9015 VCF9016 VCF9017 VCF9018  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                               8       8       8       8       8       8   \n",
       "\n",
       "      VCF9019 VCF9020 VCF9021 VCF9022 VCF9023 VCF9024 VCF9025 VCF9026 VCF9027  \\\n",
       "904                                         0               1               1   \n",
       "46157                       5                                                   \n",
       "33674                       5                       0       9               9   \n",
       "\n",
       "      VCF9028 VCF9029 VCF9030 VCF9030a VCF9030b VCF9030c VCF9031 VCF9032  \\\n",
       "904         2                                                              \n",
       "46157                       7        2        2        2                   \n",
       "33674                       7        2        2        2       5           \n",
       "\n",
       "      VCF9033 VCF9034 VCF9035 VCF9036 VCF9037 VCF9038 VCF9039 VCF9040 VCF9041  \\\n",
       "904                                                                             \n",
       "46157       7               7                                                   \n",
       "33674       0               7       8                       2       4       4   \n",
       "\n",
       "      VCF9042 VCF9043 VCF9043a VCF9044 VCF9044a VCF9045 VCF9046 VCF9047  \\\n",
       "904                                                                       \n",
       "46157                                                 1               2   \n",
       "33674       3       2        1                        8       1       8   \n",
       "\n",
       "      VCF9048 VCF9049 VCF9050 VCF9051 VCF9052 VCF9053 VCF9054 VCF9055 VCF9056  \\\n",
       "904                                                                             \n",
       "46157               1       2                               1      21      60   \n",
       "33674       8       2       8                               1      14     997   \n",
       "\n",
       "      VCF9057 VCF9058 VCF9059 VCF9060 VCF9061 VCF9062 VCF9063 VCF9064 VCF9065  \\\n",
       "904                                                                             \n",
       "46157      40      40      40                                                   \n",
       "33674     990     997     990     997     996     996       5       7       7   \n",
       "\n",
       "      VCF9066 VCF9067 VCF9069 VCF9070 VCF9071 VCF9072 VCF9073 VCF9074 VCF9075  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       7       0       8               5       9       0                   \n",
       "\n",
       "      VCF9076 VCF9077 VCF9078 VCF9079 VCF9080 VCF9081 VCF9082 VCF9083 VCF9084  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674       8               8               0                                   \n",
       "\n",
       "      VCF9085 VCF9086 VCF9087 VCF9088 VCF9089 VCF9090 VCF9091 VCF9092 VCF9093  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF9094 VCF9095 VCF9096 VCF9097 VCF9098 VCF9099 VCF9100 VCF9101 VCF9102  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                               8               0           \n",
       "\n",
       "      VCF9103 VCF9104 VCF9105 VCF9106 VCF9107 VCF9108 VCF9109 VCF9110 VCF9111  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674               8               0                       8               0   \n",
       "\n",
       "      VCF9112 VCF9113 VCF9114 VCF9115 VCF9116 VCF9117 VCF9118 VCF9119 VCF9120  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                       8               0               0       8       8   \n",
       "\n",
       "      VCF9121 VCF9122 VCF9123 VCF9124 VCF9125 VCF9131 VCF9132 VCF9133 VCF9134  \\\n",
       "904                                                                             \n",
       "46157               9       5       1       5                                   \n",
       "33674               1               1       1       8       8       8       8   \n",
       "\n",
       "      VCF9149 VCF9150 VCF9151 VCF9152 VCF9153 VCF9154 VCF9155 VCF9201 VCF9202  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674     110       3       5       2       1       0       0                   \n",
       "\n",
       "      VCF9203 VCF9204 VCF9205 VCF9206 VCF9207 VCF9208 VCF9209 VCF9210 VCF9211  \\\n",
       "904                                                                             \n",
       "46157                       1       3                                           \n",
       "33674                      -8                                                   \n",
       "\n",
       "      VCF9212 VCF9213 VCF9214 VCF9215 VCF9216 VCF9217 VCF9218 VCF9219 VCF9220  \\\n",
       "904                                                                             \n",
       "46157                                               2                           \n",
       "33674                                              -8                           \n",
       "\n",
       "      VCF9221 VCF9222 VCF9223 VCF9224 VCF9225 VCF9226 VCF9227 VCF9228 VCF9229  \\\n",
       "904                                                                             \n",
       "46157                               2                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF9230 VCF9231 VCF9232 VCF9233 VCF9234 VCF9235 VCF9236 VCF9237 VCF9238  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                       2       5           \n",
       "\n",
       "      VCF9239 VCF9240 VCF9241 VCF9242 VCF9243 VCF9244 VCF9245 VCF9246 VCF9247  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                      -9                                   \n",
       "\n",
       "      VCF9248 VCF9249 VCF9250 VCF9251 VCF9252 VCF9253 VCF9254 VCF9255 VCF9256  \\\n",
       "904                                                                             \n",
       "46157                                                       1               2   \n",
       "33674                                                                           \n",
       "\n",
       "      VCF9257 VCF9258 VCF9259 VCF9260 VCF9261 VCF9262 VCF9263 VCF9264 VCF9265  \\\n",
       "904                                                                             \n",
       "46157       2                                                                   \n",
       "33674                                       2       2      -9      -9           \n",
       "\n",
       "      VCF9266 VCF9267 VCF9268 VCF9269 VCF9270 VCF9271 VCF9272 VCF9273 VCF9274  \\\n",
       "904                                                                             \n",
       "46157                                                                           \n",
       "33674                                                                           \n",
       "\n",
       "      VCF9275 VCF9277 VCF9278 VCF9279 VCF9280 VCF9281 VCF9282  \n",
       "904                                                            \n",
       "46157                                                          \n",
       "33674              -9      -9                                  \n",
       "\n",
       "[3 rows x 1029 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(3, replace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Version</th>\n",
       "      <th>VCF0004</th>\n",
       "      <th>VCF0006</th>\n",
       "      <th>VCF0006a</th>\n",
       "      <th>VCF0009x</th>\n",
       "      <th>VCF0010x</th>\n",
       "      <th>VCF0011x</th>\n",
       "      <th>VCF0009y</th>\n",
       "      <th>VCF0010y</th>\n",
       "      <th>VCF0011y</th>\n",
       "      <th>VCF0009z</th>\n",
       "      <th>VCF0010z</th>\n",
       "      <th>VCF0011z</th>\n",
       "      <th>VCF0012</th>\n",
       "      <th>VCF0013</th>\n",
       "      <th>VCF0014</th>\n",
       "      <th>VCF0015a</th>\n",
       "      <th>VCF0015b</th>\n",
       "      <th>VCF0016</th>\n",
       "      <th>VCF0017</th>\n",
       "      <th>VCF0018a</th>\n",
       "      <th>VCF0018b</th>\n",
       "      <th>VCF0019</th>\n",
       "      <th>VCF0050a</th>\n",
       "      <th>VCF0050b</th>\n",
       "      <th>VCF0070a</th>\n",
       "      <th>VCF0070b</th>\n",
       "      <th>VCF0071a</th>\n",
       "      <th>VCF0071b</th>\n",
       "      <th>VCF0071c</th>\n",
       "      <th>VCF0071d</th>\n",
       "      <th>VCF0072a</th>\n",
       "      <th>VCF0072b</th>\n",
       "      <th>VCF0101</th>\n",
       "      <th>VCF0102</th>\n",
       "      <th>VCF0103</th>\n",
       "      <th>VCF0104</th>\n",
       "      <th>VCF0105a</th>\n",
       "      <th>VCF0105b</th>\n",
       "      <th>VCF0106</th>\n",
       "      <th>VCF0107</th>\n",
       "      <th>VCF0108</th>\n",
       "      <th>VCF0109</th>\n",
       "      <th>VCF0110</th>\n",
       "      <th>VCF0111</th>\n",
       "      <th>VCF0112</th>\n",
       "      <th>VCF0113</th>\n",
       "      <th>VCF0114</th>\n",
       "      <th>VCF0115</th>\n",
       "      <th>VCF0116</th>\n",
       "      <th>VCF0117</th>\n",
       "      <th>VCF0118</th>\n",
       "      <th>VCF0119</th>\n",
       "      <th>VCF0120</th>\n",
       "      <th>VCF0121</th>\n",
       "      <th>VCF0122</th>\n",
       "      <th>VCF0123</th>\n",
       "      <th>VCF0124</th>\n",
       "      <th>VCF0125</th>\n",
       "      <th>VCF0126</th>\n",
       "      <th>VCF0126a</th>\n",
       "      <th>VCF0126b</th>\n",
       "      <th>VCF0126c</th>\n",
       "      <th>VCF0127</th>\n",
       "      <th>VCF0127a</th>\n",
       "      <th>VCF0127b</th>\n",
       "      <th>VCF0128</th>\n",
       "      <th>VCF0128a</th>\n",
       "      <th>VCF0128b</th>\n",
       "      <th>VCF0129</th>\n",
       "      <th>VCF0130</th>\n",
       "      <th>VCF0130a</th>\n",
       "      <th>VCF0131</th>\n",
       "      <th>VCF0132</th>\n",
       "      <th>VCF0133</th>\n",
       "      <th>VCF0134</th>\n",
       "      <th>VCF0135</th>\n",
       "      <th>VCF0136</th>\n",
       "      <th>VCF0137</th>\n",
       "      <th>VCF0138</th>\n",
       "      <th>VCF0138a</th>\n",
       "      <th>VCF0138b</th>\n",
       "      <th>VCF0138c</th>\n",
       "      <th>VCF0138d</th>\n",
       "      <th>VCF0138e</th>\n",
       "      <th>VCF0139</th>\n",
       "      <th>VCF0140</th>\n",
       "      <th>VCF0140a</th>\n",
       "      <th>VCF0141</th>\n",
       "      <th>VCF0142</th>\n",
       "      <th>VCF0143</th>\n",
       "      <th>VCF0144</th>\n",
       "      <th>VCF0145</th>\n",
       "      <th>VCF0146</th>\n",
       "      <th>VCF0147</th>\n",
       "      <th>VCF0148</th>\n",
       "      <th>VCF0148a</th>\n",
       "      <th>VCF0149</th>\n",
       "      <th>VCF0150</th>\n",
       "      <th>VCF0151</th>\n",
       "      <th>VCF0152</th>\n",
       "      <th>VCF0153a</th>\n",
       "      <th>VCF0153b</th>\n",
       "      <th>VCF0153c</th>\n",
       "      <th>VCF0154a</th>\n",
       "      <th>VCF0154b</th>\n",
       "      <th>VCF0155</th>\n",
       "      <th>VCF0156</th>\n",
       "      <th>VCF0157</th>\n",
       "      <th>VCF0170a</th>\n",
       "      <th>VCF0170b</th>\n",
       "      <th>VCF0170c</th>\n",
       "      <th>VCF0170d</th>\n",
       "      <th>VCF0201</th>\n",
       "      <th>VCF0202</th>\n",
       "      <th>VCF0203</th>\n",
       "      <th>VCF0204</th>\n",
       "      <th>VCF0205</th>\n",
       "      <th>VCF0206</th>\n",
       "      <th>VCF0207</th>\n",
       "      <th>VCF0208</th>\n",
       "      <th>VCF0209</th>\n",
       "      <th>VCF0210</th>\n",
       "      <th>VCF0211</th>\n",
       "      <th>VCF0212</th>\n",
       "      <th>VCF0213</th>\n",
       "      <th>VCF0214</th>\n",
       "      <th>VCF0215</th>\n",
       "      <th>VCF0216</th>\n",
       "      <th>VCF0217</th>\n",
       "      <th>VCF0218</th>\n",
       "      <th>VCF0219</th>\n",
       "      <th>VCF0220</th>\n",
       "      <th>VCF0221</th>\n",
       "      <th>VCF0222</th>\n",
       "      <th>VCF0223</th>\n",
       "      <th>VCF0224</th>\n",
       "      <th>VCF0225</th>\n",
       "      <th>VCF0226</th>\n",
       "      <th>VCF0227</th>\n",
       "      <th>VCF0228</th>\n",
       "      <th>VCF0229</th>\n",
       "      <th>VCF0230</th>\n",
       "      <th>VCF0231</th>\n",
       "      <th>VCF0232</th>\n",
       "      <th>VCF0233</th>\n",
       "      <th>VCF0234</th>\n",
       "      <th>VCF0235</th>\n",
       "      <th>VCF0236</th>\n",
       "      <th>VCF0253</th>\n",
       "      <th>VCF0290</th>\n",
       "      <th>VCF0291</th>\n",
       "      <th>VCF0301</th>\n",
       "      <th>VCF0302</th>\n",
       "      <th>VCF0303</th>\n",
       "      <th>VCF0305</th>\n",
       "      <th>VCF0306</th>\n",
       "      <th>VCF0307</th>\n",
       "      <th>VCF0308</th>\n",
       "      <th>VCF0309</th>\n",
       "      <th>VCF0310</th>\n",
       "      <th>VCF0311</th>\n",
       "      <th>VCF0312</th>\n",
       "      <th>VCF0313</th>\n",
       "      <th>VCF0314</th>\n",
       "      <th>VCF0315</th>\n",
       "      <th>VCF0316</th>\n",
       "      <th>VCF0317</th>\n",
       "      <th>VCF0318</th>\n",
       "      <th>VCF0319</th>\n",
       "      <th>VCF0320</th>\n",
       "      <th>VCF0321</th>\n",
       "      <th>VCF0322</th>\n",
       "      <th>VCF0323</th>\n",
       "      <th>VCF0324</th>\n",
       "      <th>VCF0338</th>\n",
       "      <th>VCF0339</th>\n",
       "      <th>VCF0340</th>\n",
       "      <th>VCF0341</th>\n",
       "      <th>VCF0342</th>\n",
       "      <th>VCF0343</th>\n",
       "      <th>VCF0344</th>\n",
       "      <th>VCF0345</th>\n",
       "      <th>VCF0346</th>\n",
       "      <th>VCF0347</th>\n",
       "      <th>VCF0348</th>\n",
       "      <th>VCF0349</th>\n",
       "      <th>VCF0350</th>\n",
       "      <th>VCF0351</th>\n",
       "      <th>VCF0352</th>\n",
       "      <th>VCF0353</th>\n",
       "      <th>VCF0354</th>\n",
       "      <th>VCF0355</th>\n",
       "      <th>VCF0356</th>\n",
       "      <th>VCF0357</th>\n",
       "      <th>VCF0358</th>\n",
       "      <th>VCF0359</th>\n",
       "      <th>VCF0360</th>\n",
       "      <th>VCF0361</th>\n",
       "      <th>VCF0362</th>\n",
       "      <th>VCF0363</th>\n",
       "      <th>VCF0364</th>\n",
       "      <th>VCF0365</th>\n",
       "      <th>VCF0366</th>\n",
       "      <th>VCF0367</th>\n",
       "      <th>VCF0368</th>\n",
       "      <th>VCF0369</th>\n",
       "      <th>VCF0370</th>\n",
       "      <th>VCF0371</th>\n",
       "      <th>VCF0372</th>\n",
       "      <th>VCF0373</th>\n",
       "      <th>VCF0374</th>\n",
       "      <th>VCF0375a</th>\n",
       "      <th>VCF0375b</th>\n",
       "      <th>VCF0375c</th>\n",
       "      <th>VCF0375d</th>\n",
       "      <th>VCF0376a</th>\n",
       "      <th>VCF0376b</th>\n",
       "      <th>VCF0376c</th>\n",
       "      <th>VCF0376d</th>\n",
       "      <th>VCF0377a</th>\n",
       "      <th>VCF0377b</th>\n",
       "      <th>VCF0377c</th>\n",
       "      <th>VCF0377d</th>\n",
       "      <th>VCF0378a</th>\n",
       "      <th>VCF0378b</th>\n",
       "      <th>VCF0378c</th>\n",
       "      <th>VCF0378d</th>\n",
       "      <th>VCF0379a</th>\n",
       "      <th>VCF0379b</th>\n",
       "      <th>VCF0379c</th>\n",
       "      <th>VCF0379d</th>\n",
       "      <th>VCF0380</th>\n",
       "      <th>VCF0381a</th>\n",
       "      <th>VCF0381b</th>\n",
       "      <th>VCF0381c</th>\n",
       "      <th>VCF0381d</th>\n",
       "      <th>VCF0382a</th>\n",
       "      <th>VCF0382b</th>\n",
       "      <th>VCF0382c</th>\n",
       "      <th>VCF0382d</th>\n",
       "      <th>VCF0383a</th>\n",
       "      <th>VCF0383b</th>\n",
       "      <th>VCF0383c</th>\n",
       "      <th>VCF0383d</th>\n",
       "      <th>VCF0384a</th>\n",
       "      <th>VCF0384b</th>\n",
       "      <th>VCF0384c</th>\n",
       "      <th>VCF0384d</th>\n",
       "      <th>VCF0385a</th>\n",
       "      <th>VCF0385b</th>\n",
       "      <th>VCF0385c</th>\n",
       "      <th>VCF0385d</th>\n",
       "      <th>VCF0386</th>\n",
       "      <th>VCF0387a</th>\n",
       "      <th>VCF0387b</th>\n",
       "      <th>VCF0387c</th>\n",
       "      <th>VCF0387d</th>\n",
       "      <th>VCF0388a</th>\n",
       "      <th>VCF0388b</th>\n",
       "      <th>VCF0388c</th>\n",
       "      <th>VCF0388d</th>\n",
       "      <th>VCF0389a</th>\n",
       "      <th>VCF0389b</th>\n",
       "      <th>VCF0389c</th>\n",
       "      <th>VCF0389d</th>\n",
       "      <th>VCF0390a</th>\n",
       "      <th>VCF0390b</th>\n",
       "      <th>VCF0390c</th>\n",
       "      <th>VCF0390d</th>\n",
       "      <th>VCF0391a</th>\n",
       "      <th>VCF0391b</th>\n",
       "      <th>VCF0391c</th>\n",
       "      <th>VCF0391d</th>\n",
       "      <th>VCF0392</th>\n",
       "      <th>VCF0393a</th>\n",
       "      <th>VCF0393b</th>\n",
       "      <th>VCF0393c</th>\n",
       "      <th>VCF0393d</th>\n",
       "      <th>VCF0394a</th>\n",
       "      <th>VCF0394b</th>\n",
       "      <th>VCF0394c</th>\n",
       "      <th>VCF0394d</th>\n",
       "      <th>VCF0395a</th>\n",
       "      <th>VCF0395b</th>\n",
       "      <th>VCF0395c</th>\n",
       "      <th>VCF0395d</th>\n",
       "      <th>VCF0396a</th>\n",
       "      <th>VCF0396b</th>\n",
       "      <th>VCF0396c</th>\n",
       "      <th>VCF0396d</th>\n",
       "      <th>VCF0397a</th>\n",
       "      <th>VCF0397b</th>\n",
       "      <th>VCF0397c</th>\n",
       "      <th>VCF0397d</th>\n",
       "      <th>VCF0401</th>\n",
       "      <th>VCF0402</th>\n",
       "      <th>VCF0403</th>\n",
       "      <th>VCF0404</th>\n",
       "      <th>VCF0405</th>\n",
       "      <th>VCF0406</th>\n",
       "      <th>VCF0407</th>\n",
       "      <th>VCF0408</th>\n",
       "      <th>VCF0409</th>\n",
       "      <th>VCF0410</th>\n",
       "      <th>VCF0411</th>\n",
       "      <th>VCF0412</th>\n",
       "      <th>VCF0413</th>\n",
       "      <th>VCF0414</th>\n",
       "      <th>VCF0415</th>\n",
       "      <th>VCF0424</th>\n",
       "      <th>VCF0425</th>\n",
       "      <th>VCF0426</th>\n",
       "      <th>VCF0427</th>\n",
       "      <th>VCF0428</th>\n",
       "      <th>VCF0429</th>\n",
       "      <th>VCF0432</th>\n",
       "      <th>VCF0433</th>\n",
       "      <th>VCF0434</th>\n",
       "      <th>VCF0435</th>\n",
       "      <th>VCF0436</th>\n",
       "      <th>VCF0437</th>\n",
       "      <th>VCF0438</th>\n",
       "      <th>VCF0439</th>\n",
       "      <th>VCF0440</th>\n",
       "      <th>VCF0441</th>\n",
       "      <th>VCF0442</th>\n",
       "      <th>VCF0443</th>\n",
       "      <th>VCF0444</th>\n",
       "      <th>VCF0445</th>\n",
       "      <th>VCF0446</th>\n",
       "      <th>VCF0447</th>\n",
       "      <th>VCF0448</th>\n",
       "      <th>VCF0449</th>\n",
       "      <th>VCF0450</th>\n",
       "      <th>VCF0451</th>\n",
       "      <th>VCF0471</th>\n",
       "      <th>VCF0472</th>\n",
       "      <th>VCF0473</th>\n",
       "      <th>VCF0475</th>\n",
       "      <th>VCF0476a</th>\n",
       "      <th>VCF0476b</th>\n",
       "      <th>VCF0476c</th>\n",
       "      <th>VCF0476d</th>\n",
       "      <th>VCF0477a</th>\n",
       "      <th>VCF0477b</th>\n",
       "      <th>VCF0477c</th>\n",
       "      <th>VCF0477d</th>\n",
       "      <th>VCF0478a</th>\n",
       "      <th>VCF0478b</th>\n",
       "      <th>VCF0478c</th>\n",
       "      <th>VCF0478d</th>\n",
       "      <th>VCF0479a</th>\n",
       "      <th>VCF0479b</th>\n",
       "      <th>VCF0479c</th>\n",
       "      <th>VCF0479d</th>\n",
       "      <th>VCF0480a</th>\n",
       "      <th>VCF0480b</th>\n",
       "      <th>VCF0480c</th>\n",
       "      <th>VCF0480d</th>\n",
       "      <th>VCF0481</th>\n",
       "      <th>VCF0482a</th>\n",
       "      <th>VCF0482b</th>\n",
       "      <th>VCF0482c</th>\n",
       "      <th>VCF0482d</th>\n",
       "      <th>VCF0483a</th>\n",
       "      <th>VCF0483b</th>\n",
       "      <th>VCF0483c</th>\n",
       "      <th>VCF0483d</th>\n",
       "      <th>VCF0484a</th>\n",
       "      <th>VCF0484b</th>\n",
       "      <th>VCF0484c</th>\n",
       "      <th>VCF0484d</th>\n",
       "      <th>VCF0485a</th>\n",
       "      <th>VCF0485b</th>\n",
       "      <th>VCF0485c</th>\n",
       "      <th>VCF0485d</th>\n",
       "      <th>VCF0486a</th>\n",
       "      <th>VCF0486b</th>\n",
       "      <th>VCF0486c</th>\n",
       "      <th>VCF0486d</th>\n",
       "      <th>VCF0487</th>\n",
       "      <th>VCF0488a</th>\n",
       "      <th>VCF0488b</th>\n",
       "      <th>VCF0488c</th>\n",
       "      <th>VCF0488d</th>\n",
       "      <th>VCF0489a</th>\n",
       "      <th>VCF0489b</th>\n",
       "      <th>VCF0489c</th>\n",
       "      <th>VCF0489d</th>\n",
       "      <th>VCF0490a</th>\n",
       "      <th>VCF0490b</th>\n",
       "      <th>VCF0490c</th>\n",
       "      <th>VCF0490d</th>\n",
       "      <th>VCF0491a</th>\n",
       "      <th>VCF0491b</th>\n",
       "      <th>VCF0491c</th>\n",
       "      <th>VCF0491d</th>\n",
       "      <th>VCF0492a</th>\n",
       "      <th>VCF0492b</th>\n",
       "      <th>VCF0492c</th>\n",
       "      <th>VCF0492d</th>\n",
       "      <th>VCF0493</th>\n",
       "      <th>VCF0494a</th>\n",
       "      <th>VCF0494b</th>\n",
       "      <th>VCF0494c</th>\n",
       "      <th>VCF0494d</th>\n",
       "      <th>VCF0495a</th>\n",
       "      <th>VCF0495b</th>\n",
       "      <th>VCF0495c</th>\n",
       "      <th>VCF0495d</th>\n",
       "      <th>VCF0496a</th>\n",
       "      <th>VCF0496b</th>\n",
       "      <th>VCF0496c</th>\n",
       "      <th>VCF0496d</th>\n",
       "      <th>VCF0497a</th>\n",
       "      <th>VCF0497b</th>\n",
       "      <th>VCF0497c</th>\n",
       "      <th>VCF0497d</th>\n",
       "      <th>VCF0498a</th>\n",
       "      <th>VCF0498b</th>\n",
       "      <th>VCF0498c</th>\n",
       "      <th>VCF0498d</th>\n",
       "      <th>VCF0501</th>\n",
       "      <th>VCF0502</th>\n",
       "      <th>VCF0502a</th>\n",
       "      <th>VCF0503</th>\n",
       "      <th>VCF0504</th>\n",
       "      <th>VCF0507</th>\n",
       "      <th>VCF0508</th>\n",
       "      <th>VCF0509</th>\n",
       "      <th>VCF0512</th>\n",
       "      <th>VCF0513</th>\n",
       "      <th>VCF0514</th>\n",
       "      <th>VCF0517</th>\n",
       "      <th>VCF0518</th>\n",
       "      <th>VCF0521</th>\n",
       "      <th>VCF0521a</th>\n",
       "      <th>VCF0522</th>\n",
       "      <th>VCF0523</th>\n",
       "      <th>VCF0524</th>\n",
       "      <th>VCF0525</th>\n",
       "      <th>VCF0528</th>\n",
       "      <th>VCF0529</th>\n",
       "      <th>VCF0533</th>\n",
       "      <th>VCF0534</th>\n",
       "      <th>VCF0537</th>\n",
       "      <th>VCF0538</th>\n",
       "      <th>VCF0541</th>\n",
       "      <th>VCF0542</th>\n",
       "      <th>VCF0545</th>\n",
       "      <th>VCF0546</th>\n",
       "      <th>VCF0549</th>\n",
       "      <th>VCF0550</th>\n",
       "      <th>VCF0601</th>\n",
       "      <th>VCF0602</th>\n",
       "      <th>VCF0603</th>\n",
       "      <th>VCF0604</th>\n",
       "      <th>VCF0605</th>\n",
       "      <th>VCF0606</th>\n",
       "      <th>VCF0607</th>\n",
       "      <th>VCF0608</th>\n",
       "      <th>VCF0609</th>\n",
       "      <th>VCF0610</th>\n",
       "      <th>VCF0611</th>\n",
       "      <th>VCF0612</th>\n",
       "      <th>VCF0613</th>\n",
       "      <th>VCF0614</th>\n",
       "      <th>VCF0615</th>\n",
       "      <th>VCF0616</th>\n",
       "      <th>VCF0617</th>\n",
       "      <th>VCF0618</th>\n",
       "      <th>VCF0619</th>\n",
       "      <th>VCF0620</th>\n",
       "      <th>VCF0621</th>\n",
       "      <th>VCF0622</th>\n",
       "      <th>VCF0623</th>\n",
       "      <th>VCF0624</th>\n",
       "      <th>VCF0625</th>\n",
       "      <th>VCF0626</th>\n",
       "      <th>VCF0627</th>\n",
       "      <th>VCF0628</th>\n",
       "      <th>VCF0629</th>\n",
       "      <th>VCF0630</th>\n",
       "      <th>VCF0631</th>\n",
       "      <th>VCF0632</th>\n",
       "      <th>VCF0633</th>\n",
       "      <th>VCF0634</th>\n",
       "      <th>VCF0640</th>\n",
       "      <th>VCF0648</th>\n",
       "      <th>VCF0649</th>\n",
       "      <th>VCF0650</th>\n",
       "      <th>VCF0651</th>\n",
       "      <th>VCF0652</th>\n",
       "      <th>VCF0653</th>\n",
       "      <th>VCF0654</th>\n",
       "      <th>VCF0655</th>\n",
       "      <th>VCF0656</th>\n",
       "      <th>VCF0675</th>\n",
       "      <th>VCF0700</th>\n",
       "      <th>...</th>\n",
       "      <th>VCF0728</th>\n",
       "      <th>VCF0729</th>\n",
       "      <th>VCF0730</th>\n",
       "      <th>VCF0731</th>\n",
       "      <th>VCF0732</th>\n",
       "      <th>VCF0733</th>\n",
       "      <th>VCF0734</th>\n",
       "      <th>VCF0735</th>\n",
       "      <th>VCF0736</th>\n",
       "      <th>VCF0737</th>\n",
       "      <th>VCF0738</th>\n",
       "      <th>VCF0738a</th>\n",
       "      <th>VCF0739</th>\n",
       "      <th>VCF0740</th>\n",
       "      <th>VCF0741</th>\n",
       "      <th>VCF0742</th>\n",
       "      <th>VCF0743</th>\n",
       "      <th>VCF0744</th>\n",
       "      <th>VCF0745</th>\n",
       "      <th>VCF0746</th>\n",
       "      <th>VCF0747</th>\n",
       "      <th>VCF0748</th>\n",
       "      <th>VCF0749</th>\n",
       "      <th>VCF0750</th>\n",
       "      <th>VCF0801</th>\n",
       "      <th>VCF0803</th>\n",
       "      <th>VCF0804</th>\n",
       "      <th>VCF0805</th>\n",
       "      <th>VCF0806</th>\n",
       "      <th>VCF0808</th>\n",
       "      <th>VCF0809</th>\n",
       "      <th>VCF0811</th>\n",
       "      <th>VCF0813</th>\n",
       "      <th>VCF0814</th>\n",
       "      <th>VCF0815</th>\n",
       "      <th>VCF0816</th>\n",
       "      <th>VCF0817</th>\n",
       "      <th>VCF0818</th>\n",
       "      <th>VCF0819</th>\n",
       "      <th>VCF0820</th>\n",
       "      <th>VCF0821</th>\n",
       "      <th>VCF0822</th>\n",
       "      <th>VCF0823</th>\n",
       "      <th>VCF0824</th>\n",
       "      <th>VCF0825</th>\n",
       "      <th>VCF0826</th>\n",
       "      <th>VCF0827</th>\n",
       "      <th>VCF0827a</th>\n",
       "      <th>VCF0828</th>\n",
       "      <th>VCF0829</th>\n",
       "      <th>VCF0830</th>\n",
       "      <th>VCF0832</th>\n",
       "      <th>VCF0833</th>\n",
       "      <th>VCF0834</th>\n",
       "      <th>VCF0836</th>\n",
       "      <th>VCF0837</th>\n",
       "      <th>VCF0838</th>\n",
       "      <th>VCF0839</th>\n",
       "      <th>VCF0840</th>\n",
       "      <th>VCF0841</th>\n",
       "      <th>VCF0842</th>\n",
       "      <th>VCF0843</th>\n",
       "      <th>VCF0844</th>\n",
       "      <th>VCF0845</th>\n",
       "      <th>VCF0846</th>\n",
       "      <th>VCF0847</th>\n",
       "      <th>VCF0848</th>\n",
       "      <th>VCF0848a</th>\n",
       "      <th>VCF0849</th>\n",
       "      <th>VCF0850</th>\n",
       "      <th>VCF0851</th>\n",
       "      <th>VCF0852</th>\n",
       "      <th>VCF0853</th>\n",
       "      <th>VCF0854</th>\n",
       "      <th>VCF0860</th>\n",
       "      <th>VCF0861</th>\n",
       "      <th>VCF0862</th>\n",
       "      <th>VCF0863</th>\n",
       "      <th>VCF0864</th>\n",
       "      <th>VCF0865</th>\n",
       "      <th>VCF0866</th>\n",
       "      <th>VCF0867</th>\n",
       "      <th>VCF0867a</th>\n",
       "      <th>VCF0870</th>\n",
       "      <th>VCF0871</th>\n",
       "      <th>VCF0872</th>\n",
       "      <th>VCF0873</th>\n",
       "      <th>VCF0875</th>\n",
       "      <th>VCF0875a</th>\n",
       "      <th>VCF0875b</th>\n",
       "      <th>VCF0876</th>\n",
       "      <th>VCF0876a</th>\n",
       "      <th>VCF0877</th>\n",
       "      <th>VCF0877a</th>\n",
       "      <th>VCF0878</th>\n",
       "      <th>VCF0879</th>\n",
       "      <th>VCF0879a</th>\n",
       "      <th>VCF0880</th>\n",
       "      <th>VCF0880a</th>\n",
       "      <th>VCF0880b</th>\n",
       "      <th>VCF0881</th>\n",
       "      <th>VCF0886</th>\n",
       "      <th>VCF0887</th>\n",
       "      <th>VCF0888</th>\n",
       "      <th>VCF0889</th>\n",
       "      <th>VCF0890</th>\n",
       "      <th>VCF0891</th>\n",
       "      <th>VCF0892</th>\n",
       "      <th>VCF0893</th>\n",
       "      <th>VCF0894</th>\n",
       "      <th>VCF0900</th>\n",
       "      <th>VCF0900b</th>\n",
       "      <th>VCF0900c</th>\n",
       "      <th>VCF0901a</th>\n",
       "      <th>VCF0901b</th>\n",
       "      <th>VCF0902</th>\n",
       "      <th>VCF0903</th>\n",
       "      <th>VCF0904</th>\n",
       "      <th>VCF0905</th>\n",
       "      <th>VCF0906</th>\n",
       "      <th>VCF0907</th>\n",
       "      <th>VCF0908</th>\n",
       "      <th>VCF0909</th>\n",
       "      <th>VCF0910</th>\n",
       "      <th>VCF0911</th>\n",
       "      <th>VCF0912</th>\n",
       "      <th>VCF0913</th>\n",
       "      <th>VCF0914</th>\n",
       "      <th>VCF0915</th>\n",
       "      <th>VCF0916</th>\n",
       "      <th>VCF0917</th>\n",
       "      <th>VCF0918</th>\n",
       "      <th>VCF0919</th>\n",
       "      <th>VCF0920</th>\n",
       "      <th>VCF0921</th>\n",
       "      <th>VCF0922</th>\n",
       "      <th>VCF0923</th>\n",
       "      <th>VCF0924</th>\n",
       "      <th>VCF0925</th>\n",
       "      <th>VCF0926</th>\n",
       "      <th>VCF0927</th>\n",
       "      <th>VCF0928</th>\n",
       "      <th>VCF0929</th>\n",
       "      <th>VCF0930</th>\n",
       "      <th>VCF0931</th>\n",
       "      <th>VCF0932</th>\n",
       "      <th>VCF0933</th>\n",
       "      <th>VCF0934</th>\n",
       "      <th>VCF0935</th>\n",
       "      <th>VCF0936</th>\n",
       "      <th>VCF0937</th>\n",
       "      <th>VCF0938</th>\n",
       "      <th>VCF0939</th>\n",
       "      <th>VCF0940</th>\n",
       "      <th>VCF0941</th>\n",
       "      <th>VCF0942</th>\n",
       "      <th>VCF0943</th>\n",
       "      <th>VCF0944</th>\n",
       "      <th>VCF0945</th>\n",
       "      <th>VCF0946</th>\n",
       "      <th>VCF0946a</th>\n",
       "      <th>VCF0947</th>\n",
       "      <th>VCF0947a</th>\n",
       "      <th>VCF0948</th>\n",
       "      <th>VCF0948a</th>\n",
       "      <th>VCF0949</th>\n",
       "      <th>VCF0949a</th>\n",
       "      <th>VCF0950</th>\n",
       "      <th>VCF0951</th>\n",
       "      <th>VCF0952</th>\n",
       "      <th>VCF0953</th>\n",
       "      <th>VCF0954</th>\n",
       "      <th>VCF0955</th>\n",
       "      <th>VCF0956</th>\n",
       "      <th>VCF0957</th>\n",
       "      <th>VCF0958</th>\n",
       "      <th>VCF0959</th>\n",
       "      <th>VCF0960</th>\n",
       "      <th>VCF0961</th>\n",
       "      <th>VCF0962</th>\n",
       "      <th>VCF0963</th>\n",
       "      <th>VCF0964</th>\n",
       "      <th>VCF0965</th>\n",
       "      <th>VCF0966</th>\n",
       "      <th>VCF0967</th>\n",
       "      <th>VCF0968</th>\n",
       "      <th>VCF0969</th>\n",
       "      <th>VCF0970</th>\n",
       "      <th>VCF0971</th>\n",
       "      <th>VCF0972</th>\n",
       "      <th>VCF0973</th>\n",
       "      <th>VCF0974</th>\n",
       "      <th>VCF0975</th>\n",
       "      <th>VCF0976</th>\n",
       "      <th>VCF0977</th>\n",
       "      <th>VCF0978</th>\n",
       "      <th>VCF0980</th>\n",
       "      <th>VCF0981</th>\n",
       "      <th>VCF0982</th>\n",
       "      <th>VCF0983</th>\n",
       "      <th>VCF0984</th>\n",
       "      <th>VCF0985</th>\n",
       "      <th>VCF0986</th>\n",
       "      <th>VCF0987</th>\n",
       "      <th>VCF0988</th>\n",
       "      <th>VCF0989</th>\n",
       "      <th>VCF0990</th>\n",
       "      <th>VCF0991</th>\n",
       "      <th>VCF0992</th>\n",
       "      <th>VCF0993</th>\n",
       "      <th>VCF0994</th>\n",
       "      <th>VCF0995</th>\n",
       "      <th>VCF0996</th>\n",
       "      <th>VCF0997</th>\n",
       "      <th>VCF0998</th>\n",
       "      <th>VCF0999</th>\n",
       "      <th>VCF1000</th>\n",
       "      <th>VCF1001</th>\n",
       "      <th>VCF1002</th>\n",
       "      <th>VCF1003</th>\n",
       "      <th>VCF1004</th>\n",
       "      <th>VCF1005</th>\n",
       "      <th>VCF1006</th>\n",
       "      <th>VCF1007</th>\n",
       "      <th>VCF1008</th>\n",
       "      <th>VCF1009</th>\n",
       "      <th>VCF1010</th>\n",
       "      <th>VCF1011</th>\n",
       "      <th>VCF1012</th>\n",
       "      <th>VCF1013</th>\n",
       "      <th>VCF1014</th>\n",
       "      <th>VCF1015</th>\n",
       "      <th>VCF1016</th>\n",
       "      <th>VCF1017</th>\n",
       "      <th>VCF1018</th>\n",
       "      <th>VCF1020</th>\n",
       "      <th>VCF1021a</th>\n",
       "      <th>VCF1021b</th>\n",
       "      <th>VCF1022a</th>\n",
       "      <th>VCF1022b</th>\n",
       "      <th>VCF1023a</th>\n",
       "      <th>VCF1023b</th>\n",
       "      <th>VCF1024a</th>\n",
       "      <th>VCF1024b</th>\n",
       "      <th>VCF1025a</th>\n",
       "      <th>VCF1025b</th>\n",
       "      <th>VCF1026</th>\n",
       "      <th>VCF1027a</th>\n",
       "      <th>VCF1027b</th>\n",
       "      <th>VCF1028a</th>\n",
       "      <th>VCF1028b</th>\n",
       "      <th>VCF1029a</th>\n",
       "      <th>VCF1029b</th>\n",
       "      <th>VCF1030a</th>\n",
       "      <th>VCF1030b</th>\n",
       "      <th>VCF1031a</th>\n",
       "      <th>VCF1031b</th>\n",
       "      <th>VCF1032</th>\n",
       "      <th>VCF1033a</th>\n",
       "      <th>VCF1033b</th>\n",
       "      <th>VCF1034a</th>\n",
       "      <th>VCF1034b</th>\n",
       "      <th>VCF1035a</th>\n",
       "      <th>VCF1035b</th>\n",
       "      <th>VCF1036a</th>\n",
       "      <th>VCF1036b</th>\n",
       "      <th>VCF1037a</th>\n",
       "      <th>VCF1037b</th>\n",
       "      <th>VCF1038</th>\n",
       "      <th>VCF1039a</th>\n",
       "      <th>VCF1039b</th>\n",
       "      <th>VCF1040a</th>\n",
       "      <th>VCF1040b</th>\n",
       "      <th>VCF1041a</th>\n",
       "      <th>VCF1041b</th>\n",
       "      <th>VCF1042a</th>\n",
       "      <th>VCF1042b</th>\n",
       "      <th>VCF1043a</th>\n",
       "      <th>VCF1043b</th>\n",
       "      <th>VCF9001</th>\n",
       "      <th>VCF9002</th>\n",
       "      <th>VCF9003</th>\n",
       "      <th>VCF9004</th>\n",
       "      <th>VCF9005</th>\n",
       "      <th>VCF9006</th>\n",
       "      <th>VCF9007</th>\n",
       "      <th>VCF9008</th>\n",
       "      <th>VCF9009</th>\n",
       "      <th>VCF9010</th>\n",
       "      <th>VCF9011</th>\n",
       "      <th>VCF9012</th>\n",
       "      <th>VCF9013</th>\n",
       "      <th>VCF9014</th>\n",
       "      <th>VCF9015</th>\n",
       "      <th>VCF9016</th>\n",
       "      <th>VCF9017</th>\n",
       "      <th>VCF9018</th>\n",
       "      <th>VCF9019</th>\n",
       "      <th>VCF9020</th>\n",
       "      <th>VCF9021</th>\n",
       "      <th>VCF9022</th>\n",
       "      <th>VCF9023</th>\n",
       "      <th>VCF9024</th>\n",
       "      <th>VCF9025</th>\n",
       "      <th>VCF9026</th>\n",
       "      <th>VCF9027</th>\n",
       "      <th>VCF9028</th>\n",
       "      <th>VCF9029</th>\n",
       "      <th>VCF9030</th>\n",
       "      <th>VCF9030a</th>\n",
       "      <th>VCF9030b</th>\n",
       "      <th>VCF9030c</th>\n",
       "      <th>VCF9031</th>\n",
       "      <th>VCF9032</th>\n",
       "      <th>VCF9033</th>\n",
       "      <th>VCF9034</th>\n",
       "      <th>VCF9035</th>\n",
       "      <th>VCF9036</th>\n",
       "      <th>VCF9037</th>\n",
       "      <th>VCF9038</th>\n",
       "      <th>VCF9039</th>\n",
       "      <th>VCF9040</th>\n",
       "      <th>VCF9041</th>\n",
       "      <th>VCF9042</th>\n",
       "      <th>VCF9043</th>\n",
       "      <th>VCF9043a</th>\n",
       "      <th>VCF9044</th>\n",
       "      <th>VCF9044a</th>\n",
       "      <th>VCF9045</th>\n",
       "      <th>VCF9046</th>\n",
       "      <th>VCF9047</th>\n",
       "      <th>VCF9048</th>\n",
       "      <th>VCF9049</th>\n",
       "      <th>VCF9050</th>\n",
       "      <th>VCF9051</th>\n",
       "      <th>VCF9052</th>\n",
       "      <th>VCF9053</th>\n",
       "      <th>VCF9054</th>\n",
       "      <th>VCF9055</th>\n",
       "      <th>VCF9056</th>\n",
       "      <th>VCF9057</th>\n",
       "      <th>VCF9058</th>\n",
       "      <th>VCF9059</th>\n",
       "      <th>VCF9060</th>\n",
       "      <th>VCF9061</th>\n",
       "      <th>VCF9062</th>\n",
       "      <th>VCF9063</th>\n",
       "      <th>VCF9064</th>\n",
       "      <th>VCF9065</th>\n",
       "      <th>VCF9066</th>\n",
       "      <th>VCF9067</th>\n",
       "      <th>VCF9069</th>\n",
       "      <th>VCF9070</th>\n",
       "      <th>VCF9071</th>\n",
       "      <th>VCF9072</th>\n",
       "      <th>VCF9073</th>\n",
       "      <th>VCF9074</th>\n",
       "      <th>VCF9075</th>\n",
       "      <th>VCF9076</th>\n",
       "      <th>VCF9077</th>\n",
       "      <th>VCF9078</th>\n",
       "      <th>VCF9079</th>\n",
       "      <th>VCF9080</th>\n",
       "      <th>VCF9081</th>\n",
       "      <th>VCF9082</th>\n",
       "      <th>VCF9083</th>\n",
       "      <th>VCF9084</th>\n",
       "      <th>VCF9085</th>\n",
       "      <th>VCF9086</th>\n",
       "      <th>VCF9087</th>\n",
       "      <th>VCF9088</th>\n",
       "      <th>VCF9089</th>\n",
       "      <th>VCF9090</th>\n",
       "      <th>VCF9091</th>\n",
       "      <th>VCF9092</th>\n",
       "      <th>VCF9093</th>\n",
       "      <th>VCF9094</th>\n",
       "      <th>VCF9095</th>\n",
       "      <th>VCF9096</th>\n",
       "      <th>VCF9097</th>\n",
       "      <th>VCF9098</th>\n",
       "      <th>VCF9099</th>\n",
       "      <th>VCF9100</th>\n",
       "      <th>VCF9101</th>\n",
       "      <th>VCF9102</th>\n",
       "      <th>VCF9103</th>\n",
       "      <th>VCF9104</th>\n",
       "      <th>VCF9105</th>\n",
       "      <th>VCF9106</th>\n",
       "      <th>VCF9107</th>\n",
       "      <th>VCF9108</th>\n",
       "      <th>VCF9109</th>\n",
       "      <th>VCF9110</th>\n",
       "      <th>VCF9111</th>\n",
       "      <th>VCF9112</th>\n",
       "      <th>VCF9113</th>\n",
       "      <th>VCF9114</th>\n",
       "      <th>VCF9115</th>\n",
       "      <th>VCF9116</th>\n",
       "      <th>VCF9117</th>\n",
       "      <th>VCF9118</th>\n",
       "      <th>VCF9119</th>\n",
       "      <th>VCF9120</th>\n",
       "      <th>VCF9121</th>\n",
       "      <th>VCF9122</th>\n",
       "      <th>VCF9123</th>\n",
       "      <th>VCF9124</th>\n",
       "      <th>VCF9125</th>\n",
       "      <th>VCF9131</th>\n",
       "      <th>VCF9132</th>\n",
       "      <th>VCF9133</th>\n",
       "      <th>VCF9134</th>\n",
       "      <th>VCF9149</th>\n",
       "      <th>VCF9150</th>\n",
       "      <th>VCF9151</th>\n",
       "      <th>VCF9152</th>\n",
       "      <th>VCF9153</th>\n",
       "      <th>VCF9154</th>\n",
       "      <th>VCF9155</th>\n",
       "      <th>VCF9201</th>\n",
       "      <th>VCF9202</th>\n",
       "      <th>VCF9203</th>\n",
       "      <th>VCF9204</th>\n",
       "      <th>VCF9205</th>\n",
       "      <th>VCF9206</th>\n",
       "      <th>VCF9207</th>\n",
       "      <th>VCF9208</th>\n",
       "      <th>VCF9209</th>\n",
       "      <th>VCF9210</th>\n",
       "      <th>VCF9211</th>\n",
       "      <th>VCF9212</th>\n",
       "      <th>VCF9213</th>\n",
       "      <th>VCF9214</th>\n",
       "      <th>VCF9215</th>\n",
       "      <th>VCF9216</th>\n",
       "      <th>VCF9217</th>\n",
       "      <th>VCF9218</th>\n",
       "      <th>VCF9219</th>\n",
       "      <th>VCF9220</th>\n",
       "      <th>VCF9221</th>\n",
       "      <th>VCF9222</th>\n",
       "      <th>VCF9223</th>\n",
       "      <th>VCF9224</th>\n",
       "      <th>VCF9225</th>\n",
       "      <th>VCF9226</th>\n",
       "      <th>VCF9227</th>\n",
       "      <th>VCF9228</th>\n",
       "      <th>VCF9229</th>\n",
       "      <th>VCF9230</th>\n",
       "      <th>VCF9231</th>\n",
       "      <th>VCF9232</th>\n",
       "      <th>VCF9233</th>\n",
       "      <th>VCF9234</th>\n",
       "      <th>VCF9235</th>\n",
       "      <th>VCF9236</th>\n",
       "      <th>VCF9237</th>\n",
       "      <th>VCF9238</th>\n",
       "      <th>VCF9239</th>\n",
       "      <th>VCF9240</th>\n",
       "      <th>VCF9241</th>\n",
       "      <th>VCF9242</th>\n",
       "      <th>VCF9243</th>\n",
       "      <th>VCF9244</th>\n",
       "      <th>VCF9245</th>\n",
       "      <th>VCF9246</th>\n",
       "      <th>VCF9247</th>\n",
       "      <th>VCF9248</th>\n",
       "      <th>VCF9249</th>\n",
       "      <th>VCF9250</th>\n",
       "      <th>VCF9251</th>\n",
       "      <th>VCF9252</th>\n",
       "      <th>VCF9253</th>\n",
       "      <th>VCF9254</th>\n",
       "      <th>VCF9255</th>\n",
       "      <th>VCF9256</th>\n",
       "      <th>VCF9257</th>\n",
       "      <th>VCF9258</th>\n",
       "      <th>VCF9259</th>\n",
       "      <th>VCF9260</th>\n",
       "      <th>VCF9261</th>\n",
       "      <th>VCF9262</th>\n",
       "      <th>VCF9263</th>\n",
       "      <th>VCF9264</th>\n",
       "      <th>VCF9265</th>\n",
       "      <th>VCF9266</th>\n",
       "      <th>VCF9267</th>\n",
       "      <th>VCF9268</th>\n",
       "      <th>VCF9269</th>\n",
       "      <th>VCF9270</th>\n",
       "      <th>VCF9271</th>\n",
       "      <th>VCF9272</th>\n",
       "      <th>VCF9273</th>\n",
       "      <th>VCF9274</th>\n",
       "      <th>VCF9275</th>\n",
       "      <th>VCF9277</th>\n",
       "      <th>VCF9278</th>\n",
       "      <th>VCF9279</th>\n",
       "      <th>VCF9280</th>\n",
       "      <th>VCF9281</th>\n",
       "      <th>VCF9282</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 1029 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Version, VCF0004, VCF0006, VCF0006a, VCF0009x, VCF0010x, VCF0011x, VCF0009y, VCF0010y, VCF0011y, VCF0009z, VCF0010z, VCF0011z, VCF0012, VCF0013, VCF0014, VCF0015a, VCF0015b, VCF0016, VCF0017, VCF0018a, VCF0018b, VCF0019, VCF0050a, VCF0050b, VCF0070a, VCF0070b, VCF0071a, VCF0071b, VCF0071c, VCF0071d, VCF0072a, VCF0072b, VCF0101, VCF0102, VCF0103, VCF0104, VCF0105a, VCF0105b, VCF0106, VCF0107, VCF0108, VCF0109, VCF0110, VCF0111, VCF0112, VCF0113, VCF0114, VCF0115, VCF0116, VCF0117, VCF0118, VCF0119, VCF0120, VCF0121, VCF0122, VCF0123, VCF0124, VCF0125, VCF0126, VCF0126a, VCF0126b, VCF0126c, VCF0127, VCF0127a, VCF0127b, VCF0128, VCF0128a, VCF0128b, VCF0129, VCF0130, VCF0130a, VCF0131, VCF0132, VCF0133, VCF0134, VCF0135, VCF0136, VCF0137, VCF0138, VCF0138a, VCF0138b, VCF0138c, VCF0138d, VCF0138e, VCF0139, VCF0140, VCF0140a, VCF0141, VCF0142, VCF0143, VCF0144, VCF0145, VCF0146, VCF0147, VCF0148, VCF0148a, VCF0149, VCF0150, VCF0151, ...]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 1029 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df.duplicated(),]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interesting Columns\n",
    "\n",
    "* VCF0424: Thermometer - Democratic Presidential Candidate\n",
    "* VCF0426: Thermometer - Republican Presidential Candidate\n",
    "\n",
    "* VCF0403: Affect (Likes minus Dislikes) - Democratic Presidential Candidate\n",
    "* VCF0407: Affect (Likes minus Dislikes) - Republican Presidential Candidate\n",
    "\n",
    "* VCF0004: Year of Study\n",
    "* VCF0006: Study Respondent Number: Year-Level CaseID\n",
    "* VCF0009z: Weight (???)\n",
    "* VCF0017: Mode of Interview\n",
    "* VCF0101: Respondent - Age\n",
    "* VCF0104: Respondent - Gender\n",
    "* VCF0803: Liberal-Conservative Scale\n",
    "* VCF0301: PARTY IDENTIFICATION OF RESPONDENT- 7-POINT SCALE\n",
    "* VCF0302: PARTY IDENTIFICATION OF RESPONDENT- INITIAL PARTY ID RESPONSE\n",
    "* VCF0303: PARTY IDENTIFICATION OF RESPONDENT- SUMMARY 3- CATEGORY"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rename Columns\n",
    "\n",
    "These column names are too unfriendly to work with.  We can rename them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VCF0424</th>\n",
       "      <th>VCF0426</th>\n",
       "      <th>VCF0403</th>\n",
       "      <th>VCF0407</th>\n",
       "      <th>VCF0004</th>\n",
       "      <th>VCF0006</th>\n",
       "      <th>VCF0009z</th>\n",
       "      <th>VCF0017</th>\n",
       "      <th>VCF0101</th>\n",
       "      <th>VCF0104</th>\n",
       "      <th>VCF0803</th>\n",
       "      <th>VCF0301</th>\n",
       "      <th>VCF0302</th>\n",
       "      <th>VCF0303</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1948</td>\n",
       "      <td>1001</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1948</td>\n",
       "      <td>1002</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1948</td>\n",
       "      <td>1003</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1948</td>\n",
       "      <td>1004</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>1948</td>\n",
       "      <td>1005</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68219</th>\n",
       "      <td>0</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535315</td>\n",
       "      <td>1.052041</td>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68220</th>\n",
       "      <td>50</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535360</td>\n",
       "      <td>1.124100</td>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68221</th>\n",
       "      <td>70</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535414</td>\n",
       "      <td>1.514417</td>\n",
       "      <td>3</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68222</th>\n",
       "      <td>0</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535421</td>\n",
       "      <td>0.292352</td>\n",
       "      <td>4</td>\n",
       "      <td>65</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68223</th>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535469</td>\n",
       "      <td>0.248581</td>\n",
       "      <td>5</td>\n",
       "      <td>38</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68224 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      VCF0424 VCF0426 VCF0403 VCF0407  VCF0004  VCF0006  VCF0009z  VCF0017  \\\n",
       "0                                         1948     1001  1.000000        0   \n",
       "1                                         1948     1002  1.000000        0   \n",
       "2                                         1948     1003  1.000000        0   \n",
       "3                                         1948     1004  1.000000        0   \n",
       "4                                         1948     1005  1.000000        0   \n",
       "...       ...     ...     ...     ...      ...      ...       ...      ...   \n",
       "68219       0      97                     2020   535315  1.052041        5   \n",
       "68220      50      70                     2020   535360  1.124100        5   \n",
       "68221      70      30                     2020   535414  1.514417        3   \n",
       "68222       0      97                     2020   535421  0.292352        4   \n",
       "68223      60       0                     2020   535469  0.248581        5   \n",
       "\n",
       "      VCF0101  VCF0104 VCF0803 VCF0301 VCF0302 VCF0303  \n",
       "0                    1                                  \n",
       "1                    2                                  \n",
       "2                    2                                  \n",
       "3                    2                                  \n",
       "4                    1                                  \n",
       "...       ...      ...     ...     ...     ...     ...  \n",
       "68219      26        2       9       7               3  \n",
       "68220      52        2       6       6               3  \n",
       "68221      45        1       4       1               1  \n",
       "68222      65        2       6       7               3  \n",
       "68223      38        2       2       1               1  \n",
       "\n",
       "[68224 rows x 14 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interesting_cols = ['VCF0424', 'VCF0426', 'VCF0403', 'VCF0407', 'VCF0004', 'VCF0006', 'VCF0009z', 'VCF0017', \n",
    "           'VCF0101', 'VCF0104', 'VCF0803', 'VCF0301', 'VCF0302', 'VCF0303']\n",
    "df_clean = df[interesting_cols]\n",
    "df_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_316296/2836834422.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_clean.rename(\n"
     ]
    },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_dem</th>\n",
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       "      <td></td>\n",
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       "      <td></td>\n",
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       "</table>\n",
       "<p>68224 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ft_dem ft_rep affect_dem affect_rep  year  caseid    weight  \\\n",
       "0                                          1948    1001  1.000000   \n",
       "1                                          1948    1002  1.000000   \n",
       "2                                          1948    1003  1.000000   \n",
       "3                                          1948    1004  1.000000   \n",
       "4                                          1948    1005  1.000000   \n",
       "...      ...    ...        ...        ...   ...     ...       ...   \n",
       "68219      0     97                        2020  535315  1.052041   \n",
       "68220     50     70                        2020  535360  1.124100   \n",
       "68221     70     30                        2020  535414  1.514417   \n",
       "68222      0     97                        2020  535421  0.292352   \n",
       "68223     60      0                        2020  535469  0.248581   \n",
       "\n",
       "       interview_mode age party_id_3 lib_con_scale party_id_7 party_id_init  \\\n",
       "0                   0              1                                          \n",
       "1                   0              2                                          \n",
       "2                   0              2                                          \n",
       "3                   0              2                                          \n",
       "4                   0              1                                          \n",
       "...               ...  ..        ...           ...        ...           ...   \n",
       "68219               5  26          2             9          7                 \n",
       "68220               5  52          2             6          6                 \n",
       "68221               3  45          1             4          1                 \n",
       "68222               4  65          2             6          7                 \n",
       "68223               5  38          2             2          1                 \n",
       "\n",
       "      party_id_3  \n",
       "0                 \n",
       "1                 \n",
       "2                 \n",
       "3                 \n",
       "4                 \n",
       "...          ...  \n",
       "68219          3  \n",
       "68220          3  \n",
       "68221          1  \n",
       "68222          3  \n",
       "68223          1  \n",
       "\n",
       "[68224 rows x 14 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.rename(\n",
    "    columns={\n",
    "        'VCF0424': 'ft_dem',          # VCF0424: Thermometer - Democratic Presidential Candidate\n",
    "        'VCF0426': 'ft_rep',          # VCF0426: Thermometer - Republican Presidential Candidate\n",
    "        'VCF0403': 'affect_dem',      # VCF0403: Affect (Likes minus Dislikes) - Democratic Presidential Candidate\n",
    "        'VCF0407': 'affect_rep',      # VCF0407: Affect (Likes minus Dislikes) - Republican Presidential Candidate\n",
    "        'VCF0004': 'year',            # VCF0004: Year of Study\n",
    "        'VCF0006': 'caseid',          # VCF0006: Study Respondent Number: Year-Level CaseID\n",
    "        'VCF0009z': 'weight',         # VCF0009z: Weight \n",
    "        'VCF0017': 'interview_mode',  # VCF0017: Mode of Interview\n",
    "        'VCF0101': 'age',             # VCF0101: Respondent - Age\n",
    "        'VCF0104': 'gender',          # VCF0104: Respondent - Gender\n",
    "        'VCF0803': 'lib_con_scale',   # VCF0803: Liberal-Conservative Scale\n",
    "        'VCF0301': 'party_id_7',      # VCF0301: PARTY IDENTIFICATION OF RESPONDENT- 7-POINT SCALE\n",
    "        'VCF0302': 'party_id_init',   # VCF0302: PARTY IDENTIFICATION OF RESPONDENT- INITIAL PARTY ID RESPONSE\n",
    "        'VCF0303': 'party_id_3',      # VCF0303: PARTY IDENTIFICATION OF RESPONDENT- SUMMARY 3- CATEGORY\n",
    "    }, \n",
    "inplace=True)\n",
    "\n",
    "df_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove Older Data\n",
    "\n",
    "There was no election before the first tweet in 2006"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>47439</th>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>2</td>\n",
       "      <td>2.164400</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47440</th>\n",
       "      <td>30</td>\n",
       "      <td>60</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>3</td>\n",
       "      <td>2.455400</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47441</th>\n",
       "      <td>55</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>2.164400</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47442</th>\n",
       "      <td>30</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>5</td>\n",
       "      <td>2.930400</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68219</th>\n",
       "      <td>0</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535315</td>\n",
       "      <td>1.052041</td>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68220</th>\n",
       "      <td>50</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535360</td>\n",
       "      <td>1.124100</td>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68221</th>\n",
       "      <td>70</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535414</td>\n",
       "      <td>1.514417</td>\n",
       "      <td>3</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68222</th>\n",
       "      <td>0</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535421</td>\n",
       "      <td>0.292352</td>\n",
       "      <td>4</td>\n",
       "      <td>65</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68223</th>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535469</td>\n",
       "      <td>0.248581</td>\n",
       "      <td>5</td>\n",
       "      <td>38</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20786 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ft_dem ft_rep affect_dem affect_rep  year  caseid    weight  \\\n",
       "47438     25     60                        2008       1  1.998400   \n",
       "47439      0     70                        2008       2  2.164400   \n",
       "47440     30     60                        2008       3  2.455400   \n",
       "47441     55     70                        2008       4  2.164400   \n",
       "47442     30     70                        2008       5  2.930400   \n",
       "...      ...    ...        ...        ...   ...     ...       ...   \n",
       "68219      0     97                        2020  535315  1.052041   \n",
       "68220     50     70                        2020  535360  1.124100   \n",
       "68221     70     30                        2020  535414  1.514417   \n",
       "68222      0     97                        2020  535421  0.292352   \n",
       "68223     60      0                        2020  535469  0.248581   \n",
       "\n",
       "       interview_mode age party_id_3 lib_con_scale party_id_7 party_id_init  \\\n",
       "47438               0  35          1             4          5             2   \n",
       "47439               0  58          2             6          1             5   \n",
       "47440               0  39          2             6          6             1   \n",
       "47441               0  50          1             4          4             3   \n",
       "47442               0  72          1             6          7             1   \n",
       "...               ...  ..        ...           ...        ...           ...   \n",
       "68219               5  26          2             9          7                 \n",
       "68220               5  52          2             6          6                 \n",
       "68221               3  45          1             4          1                 \n",
       "68222               4  65          2             6          7                 \n",
       "68223               5  38          2             2          1                 \n",
       "\n",
       "      party_id_3  \n",
       "47438          3  \n",
       "47439          1  \n",
       "47440          3  \n",
       "47441          2  \n",
       "47442          3  \n",
       "...          ...  \n",
       "68219          3  \n",
       "68220          3  \n",
       "68221          1  \n",
       "68222          3  \n",
       "68223          1  \n",
       "\n",
       "[20786 rows x 14 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean = df_clean[df_clean[\"year\"] > 2006]\n",
    "df_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Is there anyone without a Feeling Thermometer?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean[\"ft_dem\"].isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean[\"ft_rep\"].isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save\n",
    "Save the smaller dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean.to_csv(\"data/df_clean.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2008 Election\n",
    "\n",
    "Pre-election interviews 73 minutes in length were conducted September 2 through November 3, 2008. No interviewing was conducted on Election Day, November 4. Post-election interviews 91 minutes in length were administered November 5 through December 30, 2008. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_dem</th>\n",
       "      <th>ft_rep</th>\n",
       "      <th>affect_dem</th>\n",
       "      <th>affect_rep</th>\n",
       "      <th>year</th>\n",
       "      <th>caseid</th>\n",
       "      <th>weight</th>\n",
       "      <th>interview_mode</th>\n",
       "      <th>age</th>\n",
       "      <th>party_id_3</th>\n",
       "      <th>lib_con_scale</th>\n",
       "      <th>party_id_7</th>\n",
       "      <th>party_id_init</th>\n",
       "      <th>party_id_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>47438</th>\n",
       "      <td>25</td>\n",
       "      <td>60</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>1.9984</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47439</th>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>2</td>\n",
       "      <td>2.1644</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47440</th>\n",
       "      <td>30</td>\n",
       "      <td>60</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>3</td>\n",
       "      <td>2.4554</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47441</th>\n",
       "      <td>55</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>2.1644</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47442</th>\n",
       "      <td>30</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>5</td>\n",
       "      <td>2.9304</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49755</th>\n",
       "      <td>70</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>2319</td>\n",
       "      <td>1.0311</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49756</th>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>2320</td>\n",
       "      <td>3.0582</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49757</th>\n",
       "      <td>85</td>\n",
       "      <td>60</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>2321</td>\n",
       "      <td>1.9984</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49758</th>\n",
       "      <td>98</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>2322</td>\n",
       "      <td>1.0167</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49759</th>\n",
       "      <td>40</td>\n",
       "      <td>98</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2008</td>\n",
       "      <td>2323</td>\n",
       "      <td>1.8098</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2322 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ft_dem ft_rep affect_dem affect_rep  year  caseid  weight  \\\n",
       "47438     25     60                        2008       1  1.9984   \n",
       "47439      0     70                        2008       2  2.1644   \n",
       "47440     30     60                        2008       3  2.4554   \n",
       "47441     55     70                        2008       4  2.1644   \n",
       "47442     30     70                        2008       5  2.9304   \n",
       "...      ...    ...        ...        ...   ...     ...     ...   \n",
       "49755     70     50                        2008    2319  1.0311   \n",
       "49756     60     50                        2008    2320  3.0582   \n",
       "49757     85     60                        2008    2321  1.9984   \n",
       "49758     98     50                        2008    2322  1.0167   \n",
       "49759     40     98                        2008    2323  1.8098   \n",
       "\n",
       "       interview_mode age party_id_3 lib_con_scale party_id_7 party_id_init  \\\n",
       "47438               0  35          1             4          5             2   \n",
       "47439               0  58          2             6          1             5   \n",
       "47440               0  39          2             6          6             1   \n",
       "47441               0  50          1             4          4             3   \n",
       "47442               0  72          1             6          7             1   \n",
       "...               ...  ..        ...           ...        ...           ...   \n",
       "49755               0  34          2             9          3             2   \n",
       "49756               0  28          1             3          3             2   \n",
       "49757               0  39          1             4          2             5   \n",
       "49758               0  64          1             6          6             1   \n",
       "49759               0  34          1             9          2             5   \n",
       "\n",
       "      party_id_3  \n",
       "47438          3  \n",
       "47439          1  \n",
       "47440          3  \n",
       "47441          2  \n",
       "47442          3  \n",
       "...          ...  \n",
       "49755          1  \n",
       "49756          1  \n",
       "49757          1  \n",
       "49758          3  \n",
       "49759          1  \n",
       "\n",
       "[2322 rows x 14 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2008 = df_clean[df_clean[\"year\"] == 2008]\n",
    "df_2008"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_dem', ylabel='Count'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_2008,\n",
    "    x = \"ft_dem\",\n",
    "    ax=ax,\n",
    "    palette=[demblue],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_rep', ylabel='Count'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_2008,\n",
    "    x = \"ft_rep\",\n",
    "    ax=ax,\n",
    "    palette=[repred],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f880b029840>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 8))\n",
    "sns.kdeplot(\n",
    "    data = df_2008,\n",
    "    x = \"ft_dem\",\n",
    "    ax = ax,\n",
    "    color = demblue,\n",
    "    label = 'Obama'\n",
    ")\n",
    "sns.kdeplot(\n",
    "    data = df_2008,\n",
    "    x = \"ft_rep\",\n",
    "    ax = ax,\n",
    "    color = repred,\n",
    "    label = 'McCain'\n",
    ")\n",
    "\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.set_xlabel(\"Feeling Thermometer Temperature\", fontsize=16)\n",
    "ax.set_ylabel(\"Density of Respondents\", fontsize=16)\n",
    "ax.set_title(\"2008\", fontsize=22)\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2012 Election\n",
    "\n",
    "\n",
    "As with all Time Series studies conducted during years of presidential elections,\n",
    "respondents were interviewed during the two months preceding the November\n",
    "election (Pre-election interview) and then re-interviewed during the two months\n",
    "following the election (Post-election interview). Face-to-face interviews were\n",
    "conducted with one interview before the election and a second interview with the\n",
    "same respondents after the election. Internet interviews were conducted with two\n",
    "interviews before the election and two more interviews with the same respondents\n",
    "after the election. Internet data collection was managed by GfK. In-person data\n",
    "collection was managed by Abt SRBI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_dem</th>\n",
       "      <th>ft_rep</th>\n",
       "      <th>affect_dem</th>\n",
       "      <th>affect_rep</th>\n",
       "      <th>year</th>\n",
       "      <th>caseid</th>\n",
       "      <th>weight</th>\n",
       "      <th>interview_mode</th>\n",
       "      <th>age</th>\n",
       "      <th>party_id_3</th>\n",
       "      <th>lib_con_scale</th>\n",
       "      <th>party_id_7</th>\n",
       "      <th>party_id_init</th>\n",
       "      <th>party_id_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>49760</th>\n",
       "      <td>97</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3802</td>\n",
       "      <td>0</td>\n",
       "      <td>86</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49761</th>\n",
       "      <td>97</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>2</td>\n",
       "      <td>0.5470</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49762</th>\n",
       "      <td>97</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>3</td>\n",
       "      <td>0.4975</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49763</th>\n",
       "      <td>97</td>\n",
       "      <td>99</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>4</td>\n",
       "      <td>0.2549</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49764</th>\n",
       "      <td>97</td>\n",
       "      <td>60</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "      <td>0.6028</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55669</th>\n",
       "      <td>15</td>\n",
       "      <td>40</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>6860</td>\n",
       "      <td>0.0612</td>\n",
       "      <td>4</td>\n",
       "      <td>34</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55670</th>\n",
       "      <td>97</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>6861</td>\n",
       "      <td>1.1720</td>\n",
       "      <td>4</td>\n",
       "      <td>42</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55671</th>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>6862</td>\n",
       "      <td>0.2643</td>\n",
       "      <td>4</td>\n",
       "      <td>58</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55672</th>\n",
       "      <td>85</td>\n",
       "      <td>50</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>6863</td>\n",
       "      <td>0.9108</td>\n",
       "      <td>4</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55673</th>\n",
       "      <td>97</td>\n",
       "      <td>15</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2012</td>\n",
       "      <td>6864</td>\n",
       "      <td>1.6151</td>\n",
       "      <td>4</td>\n",
       "      <td>56</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5914 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ft_dem ft_rep affect_dem affect_rep  year  caseid  weight  \\\n",
       "49760     97      0                        2012       1  0.3802   \n",
       "49761     97      0                        2012       2  0.5470   \n",
       "49762     97      0                        2012       3  0.4975   \n",
       "49763     97     99                        2012       4  0.2549   \n",
       "49764     97     60                        2012       5  0.6028   \n",
       "...      ...    ...        ...        ...   ...     ...     ...   \n",
       "55669     15     40                        2012    6860  0.0612   \n",
       "55670     97      0                        2012    6861  1.1720   \n",
       "55671     85      0                        2012    6862  0.2643   \n",
       "55672     85     50                        2012    6863  0.9108   \n",
       "55673     97     15                        2012    6864  1.6151   \n",
       "\n",
       "       interview_mode age party_id_3 lib_con_scale party_id_7 party_id_init  \\\n",
       "49760               0  86          2             1          1             5   \n",
       "49761               0  79          1             1          1             5   \n",
       "49762               0  72          2             9          1             5   \n",
       "49763               0  54          2             9          1             5   \n",
       "49764               0  35          1             2          3             2   \n",
       "...               ...  ..        ...           ...        ...           ...   \n",
       "55669               4  34          2             4          3             2   \n",
       "55670               4  42          2             2          1             5   \n",
       "55671               4  58          2             6          1             5   \n",
       "55672               4  33          1             3          4             2   \n",
       "55673               4  56          2             4          1             5   \n",
       "\n",
       "      party_id_3  \n",
       "49760          1  \n",
       "49761          1  \n",
       "49762          1  \n",
       "49763          1  \n",
       "49764          1  \n",
       "...          ...  \n",
       "55669          1  \n",
       "55670          1  \n",
       "55671          1  \n",
       "55672          2  \n",
       "55673          1  \n",
       "\n",
       "[5914 rows x 14 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2012 = df_clean[df_clean[\"year\"] == 2012]\n",
    "df_2012"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_dem', ylabel='Count'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_2012,\n",
    "    x = \"ft_dem\",\n",
    "    ax=ax,\n",
    "    palette=[demblue],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_rep', ylabel='Count'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_2012,\n",
    "    x = \"ft_rep\",\n",
    "    ax=ax,\n",
    "    palette=[repred],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f880af9f6d0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Aa76Vnp5Obm4uZcqUYc5hRrxPOOEEVq5cyc8//0xOTg7NmjUr9M+mkWARERERkSC0Z2829z6+lOadpzFjzm5eGdSIWZPbe1oAg+sa/f7wZuzcnU3/21JRK57irXTp0gwdOpTnn3+e+Ph4ypYty6+//grAmDFj/hkVLoxSpUpRt25dJkyYALiZD3Pnzv3n/n79+tG3b1+/jAKDimARERERkaDz9eStND3pTwYPW83lfaqwZGonBlxdk6io4Pj43jw5keceacBXP2xj1PtH28hFQl3r1q1p2bIl48aN49133+Wee+6hRYsWzJkzh0ceecQvrzF27FjeeustWrZsSdOmTfnss8/+ue/SSy9lx44d9O172BZRBWbC9cxNu3bt7MyZM72OISIiIiLyj+07srjzkaW8++EGmjSK580Xm3D8cWW8jnVY1lqOP2Mm6zZmsmza8cTEBEeBXhwsXLiQJk2aeB0jaHz00Ud89tlnjBkzJt/H5PPfzBzusfqXKiIiIiISBD7/ZgtNT/qT9z7ayEN31mH25A5BWwADGGN4/N56rFmXydsfrPc6jhRTt9xyC/fffz8PP/yw346pxlgiIiIiIh7KzMzl3v9bytCRa2nVLJGvPmhF6+YlvY7lk1O7lKNj21I8/fIq+vetptFg8btXXnnF78fUv1IREREREY/8vSqdE8+eydCRa7n9+ppM+6Z9yBTA4EaDH7unHqvXZvDOOK0NltCgIlhERERExAOffrWF1t2ns3RFOp+804IhTzQKyZHU07q60eCnXlrJ/v25XscpNsK1d9OxKOh/q9D7LRMRERERCXFDRqzmvCvn0bBeCWZPPo5zz6jodaRjptFg/4uLi2Pbtm0qhH1grWXbtm3ExcX5/Bx1hxYRERERKSK5uZb7/m8Zz7+2mgvOrsSYYcnExUV6HavQrLV0OmMmGzbtZ+mfnUJyRDuYZGVlsXbtWjIyMryOEhLi4uKoUaMG0dHRh9512O7QaowlIiIiIlIE9u/P5arbFjL2443cfFUNXn6qEZGRh/2MHnIOjAb3vHgOo8dv4JrLqnsdKaRFR0dTt25dr2MUWzpFIyIiIiISYBkZOZx92VzGfryRpwfW55VBxacAPuD0ruVo2TSREe+u8zqKyBGpCBYRERERCaDs7Fz6Xp/C9z9v562XmvDAbXUwpngVwOBGg6+6pBp/zd3D/NS9XscRyZeKYBERERGRALHWcuO9i/n06y28/FQjrrqkmteRAuqS3pWJjjZqkCVBTUWwiIiIiEiAPDRoBW++t56H7qzDLdfU9DpOwFUoH8PZp1XgvY82kJWl7ZIkOKkIFhEREREJgKEj1/D0Syu57vJq/N999byOU2SuvLgqm7dm8fXkbV5HETksFcEiIiIiIn72zZRt3DZwCb3PrMhrzzUulmuA89OjW3kqV4zRlGgJWiqCRURERET8aN2GDC6/OYXmTRJ577Wmxa4L9NFER0dw2QVV+OK7rWzZut/rOCL/oSJYRERERMRPsrNzueSGFNLTcxn/ZjNKlIj0OpInrry4KtnZlvcnbvQ6ish/qAgWEREREfGTxwb/zS9TdzL8uSQaN0zwOo5nmjVJpF2rkrz9gaZES/BRESwiIiIi4gff/7SNp19aSf++Vbn8wqpex/HclRdVZW7KXubM3+N1FJF/UREsIiIiIlJIm7fs57KbUmjSKIFXnk7yOk5Q6Nu7CjExhnc+1GiwBBcVwSIiIiIihXTnI0vZsSubD99oRkJCeK4DPlS5stGc3rU8n369BWut13FE/qEiWERERESkECb/sp2xH2/kvltq06xJotdxgsrZp1Vg1ZoMFizc53UUkX+oCBYREREROUYZGTnceO8i6tcpwYO31fE6TtA567QKAHzx3VaPk4j8j4pgEREREZFj9MzQVSxdkc7w55LCdjukI6laOZZ2rUryxbdbvI4i8g8VwSIiIiIix2DJ8jQGDV1J396VObVLea/jBK2zT6vAtFm72bxlv9dRRAAVwSIiIiIiBWat5cZ7F1EiLpIXH2/odZygdvbpFbEWvvxBU6IlOKgIFhEREREpoI8nbWbKrzsYNLA+VSrHeh0nqLVqlkiNarF88a2KYAkOKoJFRERERAogOzuXhwatoGnjBK7rV93rOEHPGMNZp1bgu5+2k5GR43UcERXBIiIiIiIFMXr8RhYvS+PJ++sTGWm8jhMSzj69AvvScvjpj51eRxFRESwiIiIi4quMjBweG7yC49qUolfPCl7HCRndTixLfHyEukRLUFARLCIiIiLio9dHr2PNukyefrA+xmgU2FdxcZGcenI5vvhuK9Zar+NImFMRLCIiIiLigz17s3nqpZV0O6ks3U8u53WckHP26RVZsy6T+al7vY4iYU5FsIiIiIiID15+Yw1btmbx9IP1vY4Sks48xe2l/MV36hIt3lIRLCIiIiJyFNu2ZzF42CrO7VmRDm1Lex0nJFWpHEv71qX4evI2r6NImFMRLCIiIiJyFENHrmH3nhyeuL+e11FCWveTyjJ99m727dNWSeIdFcEiIiIiIkewb18Ow95eyzk9KtCsSaLXcUJal+PLkpVl+WPGTq+jSBhTESwiIiIicgRvj1vPtu1Z3Htzba+jhLwTjitNZKTRfsHiKRXBIiIiIiL5yM7O5cXhq+nUrjQndCjjdZyQl5gYRftWJfnxtx1eR5EwpiJYRERERCQfH0/awt+rM7jn5lpeRyk2up5YlhlzdrN3b7bXUSRMqQgWERERETkMay2Dh62iYb0SnNOjotdxio0ux5clO9vyx4xdXkeRMFXkRbAxpocxZrExZpkx5v7D3G+MMUPz7p9njGlz0H2jjDGbjTEL8jn23cYYa4ypEMifQURERESKv59+38Ffc/dw9021iYw0XscpNo5vX5qoKMOPv2tKtHijSItgY0wkMAzoCSQDfY0xyYc8rCfQMO9yHTD8oPveAXrkc+yawKnAav+mFhEREZFw9Nyrq6lUIZp+F1bxOkqxkpgYxXGtS/GTimDxSFGPBB8HLLPWrrDW7gfGAb0OeUwvYLR1/gTKGGOqAlhrfwG253PsIcC9gA1MdBEREREJF/NT9/LNlG3cck1N4uIivY5T7HQ5oSwz5uzRumDxRFEXwdWBNQd9vzbvtoI+5l+MMecA66y1c4/yuOuMMTONMTO3bNnie2oRERERCStD31xDiRIR3HhlDa+jFEtdji9DTo7l9+laFyxFr6iL4MMtpjh05NaXx/zvwcbEAwOBR4724tbaN6y17ay17SpWVHMDEREREfmvXbuzeX/iRi7pXYXy5aK9jlMsHd++DNHRWhcs3ijqIngtUPOg72sA64/hMQerD9QF5hpjVuY9fpYxRos3RERERKTARo/fQFpaLjdeecTJiFIICQmRbl3wHyqCpegVdRE8A2hojKlrjIkBLgY+P+QxnwP98rpEdwR2WWs35HdAa+18a20la20da20dXBHdxlq7MUA/g4iIiIgUU9Zahr+zlvatS9G2ZSmv4xRrXU4oy8w5e9ijdcFSxIq0CLbWZgMDgG+BhcB4a22KMeYGY8wNeQ/7ClgBLANGAjcdeL4x5gNgKpBkjFlrjLm6KPOLiIiISPH28x87WbgkjZv6axQ40LocX5acHMtv03Z6HUXCTFRRv6C19itcoXvwbSMO+toCN+fz3L4+HL9OISOKiIiISJh67e21lC0TxUW9Knsdpdg7vn1poqMNP/2+k57dK3gdR8JIUU+HFhEREREJShs2ZfLJV1vof3E1SpTQtkiBFh8fSYc2WhcsRU9FsIiIiIgI8NbY9WRnW25QQ6wic3z7Msyev4eMjByvo0gYUREsIiIiImEvOzuX10ev49TO5WhYL97rOGGjY9tSZGVZZs/f63UUCSMqgkVEREQk7H35/TbWrs/UtkhFrEPb0gBMm7XL4yQSTlQEi4iIiEjYe3PseqpWjuHs09WgqShVqxJLrRpx/PmXimApOiqCRURERCSsrd+YyVc/bOXKi6sSFaWPx0WtQ5tS/PnXbq9jSBjRb7mIiIiIhLUx4zeQmwtXXlzN6yhhqWPb0qxak8HGTZleR5EwoSJYRERERMKWtZZRH2zgxA6laVRfDbG80LFtKQCmzdJosBQNFcEiIiIiErb+mL6LJcvTuOoSjQJ7pXXzkkRHG60LliKjIlhEREREwtbb4zaQEB9Jn7MreR0lbJUoEUnLpokqgqXIqAgWERERkbC0d282H366iQt7VSIxMcrrOGGtY9vSzJi9h5wc63UUCQMqgkVEREQkLH00aTN79+VwVV9NhfZax7al2ZeWQ8qivV5HkTCgIljEn3JzvU4gIiIiPhr1/gYa1ivBCR1Kex0l7B1ojqWtkqQoqAgW8YfFi6F1ayhbFvr1g0mTYP9+r1OJiIhIPpauSOPXP3dy1SXVMMZ4HSfs1atTggrlo7UuWIqEimCRwho3Dtq1gzVroFcvVwCffTZUqgRPP+11OhERETmMd8ZtICIC+l1Y1esoAhhj6NCmlLZJkiKhIljkWGVkwE03Qd++0LIlzJkDo0fDxo3w1Vdw4okwcCBMnOh1UhERETlIbq5lzIQNnNalPNWqxHodR/J0bFua1MX72Lkry+soUsypCBY5Vv36wfDhcM898OOPUKOGuz0mBnr2dMVv+/Zw9dWwcqWnUUVEROR/fv5jB2vWZdLvwipeR5GDdGzr1mbPmK3RYAksFcEix2LqVJgwAR59FJ57DqKj//uYmBg3VTo3Fy65BLJ0VlNERCQYjJmwkZKJkfTqUdHrKHKQ9q1LYYyaY0ngqQgWKShr4b77oHJlNwp8JPXqwRtvuKL50UeLJp+IiIjkKy0th4++2MwFZ1ciPj7S6zhykNKlomjSKIFps9QcSwJLRbBIQX31Ffz6qytqExKO/viLLoJrroFnnoHvvw98PhEREcnXZ99sYc/eHDXEClIHmmNZa72OIsWYimCRgsjJgfvvhwYNXGHrq5dfhqQk10hLewmLiIh4ZsyEjdSqEcfJncp4HUUOo22LkmzdlsW6DZleR5FiTEWwSEGMHQsLFsBTTx1+HXB+4uPhscdg2TK3hZKIiIgUuY2bMvn2x21cdkEVIiK0N3AwatOiFACz5u3xOIkUZyqCRXyVkQEPPwxt28IFFxT8+eefDzVrwpAh/s8mIiIiR/XBJ5vIzYXL+6grdLBqkZxIRISKYAksFcEivhoxAlavhmefhYhj+NWJioJbboGffnJ7CouIiEiRGj1+A+1bl6JxQx96eognEhIiadwwgVnzVQRL4KgIFvGFtfD663DiidC9+7Ef59prXTMtjQaLiIgUqfmpe5mzYK/2Bg4BbZqX1EiwBJSKYBFfzJ8PixbBpZcW7jhlysBVV8EHH8CGDX6JJiIiIkc3ZsIGoqIMF59b2esochRtWpRk3YZMNm1WcywJDBXBIr4YNw4iI9263sK67TbIzoZhwwp/LBERETmqnBzL2I830bN7eSqUj/E6jhxF6+YlAZi9YK/HSaS4UhEscjTWwocfumnQFSsW/nj168M557g1xunphT+eiIiIHNGUX7ezfmMmV2hv4JDQqlkioOZYEjgqgkWOZuZMWLECLrrIf8e84w7Ytg3GjPHfMUVEROSwRo/fSJnSUZx1WgWvo4gPypSOpn6dEsyat9vrKFJMqQgWOZoPP3R7Ap93nv+OefLJ0KqVa7YlIiIiAbNnbzYTv9rMRb0qExurj76hok0LNceSwNE7gciR5Oa6Ivj006FsWf8d1xi47DKYNcuNMouIiEhATJy0hbS0XHWFDjFtWpTk79UZ7NiZ5XUUKYZUBIscydSpsHYtXHyx/499wQXuesIE/x9bREREABg9YQP165SgU/vSXkeRAmhzoDmW9guWAFARLHIk48ZBXJxrZOVvtWtDhw4wfrz/jy0iIiKsWZfBj7/toN+FVTDGeB1HCuBAh2hNiZZAUBEskp+cHDdKe8YZULJkYF6jTx83JXr58sAcX0REJIyN/Xgj1sJlF6grdKipWCGGmtVjNRIsAaEiWCQ/P/8MmzYFZir0AZoSLSIiEhDWWkaP38CJHUpTr04Jr+PIMWjTvCSzVARLAKgIFsnPhAmQkABnnhm41zgwJVpFsIiIiF/9NXcPC5ek0U97A4esNi1KsnhZGnv3ZnsdRYoZFcEi+fnhB+jWDeLjA/s6mhItIiLid6PHbyA2NoI+51TyOoocozYtSmEtzE3Z63UUKWZUBIsczurVsGyZK4IDTVOiRURE/CorK5cPPtlErx4VKFM62us4coxaN08E0JRo8TsVwSKH8+OP7rpr18C/lqZEi4iI+NU3U7axdVsWl/fRVOhQVq1KLJUqRKtDtPidimCRw/nxRyhfHpo3L5rX05RoERERvxk9fiMVK0RzetdyXkeRQjDG0KZFKRXB4ncqgkUOZS1MmeJGgSOK6FdEU6JFRET8YsfOLD7/dguX9K5CdLQ+6oa61s0TSVm8j8zMXK+jSDGidwaRQy1fDmvWFM1U6ANq14bjjoNPPim61xQRESmGxn+2if37Lf0urOJ1FPGDlk1LkpNjWbhkn9dRpBgp8iLYGNPDGLPYGLPMGHP/Ye43xpiheffPM8a0Oei+UcaYzcaYBYc8Z7AxZlHe4z8xxpQpgh9FiqsD64GLoinWwc44A2bMgK1bi/Z1RUREipHR4zeSnJRA6+YlvY4iftAi2TXHmpeqDtHiP0VaBBtjIoFhQE8gGehrjEk+5GE9gYZ5l+uA4Qfd9w7Q4zCH/h5oZq1tASwBHvBvcgkrU6ZA1aqQlFS0r9uzp5uK/f33Rfu6IiIixcTyv9P4Y8Yu+vWpgjHG6zjiBw3rlSA2NkJFsPiVT0WwMSbCGBN1yG2nG2PuMsa0LsDrHQcss9ausNbuB8YBvQ55TC9gtHX+BMoYY6oCWGt/AbYfelBr7XfW2gO7aP8J1ChAJpH/ObAeuFs3KOo/nm3bumZc33xTtK8rIiJSTIyZsBFj4NILNBW6uIiKiqBpUoKKYPErX0eCPwBGHfjGGHMD8DUwGPjTGHOKj8epDqw56Pu1ebcV9DFHclVeNpGCS02FzZuLdj3wAZGRcNpprgjOVfMHERGRgrDWMnr8BrqfVI4a1eK8jiN+1CI5UUWw+JWvRXBH4KuDvr8HeBMoDUwEBvp4nMMNrdljeMzhD27MQCAbGJvP/dcZY2YaY2Zu2bLFl0NKuPFqPfABPXu6InzOHG9eX0REJET9Pm0Xf6/OUEOsYqhFciKbtuxn0+ZMr6NIMeFrEVwJWAdgjGkA1AVetdbuAd4GfN1MdS1Q86DvawDrj+Ex/2GMuQI4C7jUWnvYotla+4a1tp21tl3FihV9jCxhZcoUqFMH6tb15vVPO81da0q0iIhIgYyesIH4+AjOO0Of8YqbA82x5i9Uh2jxD1+L4N1A+byvuwBbrbXz8r7PAXydczIDaGiMqWuMiQEuBj4/5DGfA/3yukR3BHZZazcc6aDGmB7AfcA51to0H7OI/FtuLvz0k3ejwACVK0ObNvC1ZvSLiIj4at++HMZ9sonzz6xEYmLU0Z8gIUUdosXffC2C/wDuN8acBdzOv6dGN8CN3h5VXvOqAcC3wEJgvLU2xRhzQ946Y/KOvQJYBowEbjrwfGPMB8BUIMkYs9YYc3XeXa8CJYHvjTFzjDEjfPy5RP5n7lzYscOb9cAH69kTpk6FnTu9zSEiIhIixn++iT17c7j28mpeR5EAqFghhiqVYlQEi9/4eqrsXuBL3CjtCuCxg+67CFeY+sRa+xX/LqKx1o446GsL3JzPc/vmc3sDX19fJF9Tprhrr4vgHj3gqafghx/gggu8zSIiIhICRo5ZT+OG8ZzYoYzXUSRAWiQnMn+himDxD59Ggq21S621jYCK1toG1tqVB919G65Rlkho++03aNAAqhekGXkAdOwIpUtrXbCIiIgPUhbtZerMXVxzaTXtDVyMtUhOJGXxPrKztYOGFJ6v+wSPMsbUtdZuO8zdu4Hn/BtLxAPTp7sC1GtRUXDqqa4IPnyPNxEREckz8r31REcb+l1Y1esoEkAtkhPJzMxl6Yp0r6NIMeDrmuArgfxa7VUArvBLGhGvrF0L69fDccd5ncTp0QPWrYMFC7xOIiIiErQyMnIYPX4Dvc+sSMUKMV7HkQBScyzxJ1+LYMh/r94qgE7JSGibPt1dB0sRfPrp7lpTokVERPL18aQt7NiZzbWXebyUSQKuccMEoqKMimDxi3wbYxljzgPOO+imx40xWw95WAngJOCvAGQTKTrTp0N0NLRs6XUSp0YNaNYMvv0W7tGSexERkcMZ+d466tUuQdcTy3odRQIsNjaCxg3jVQSLXxypO3QtXIELbhS4FZB5yGMycdsnPeD3ZCJFafp0VwDH+brldRHo3h1efx0yMyE21us0IiIiQWXJ8jR+/mMnTw+sT0SEGmKFgxZNEvlt+i6vY0gxkG8RbK19GXgZwBjzN3CutXZuUQUTKTI5OTBzJlx+uddJ/q1bN3j5ZfjzT+jc2es0IhLK9uyBFSvg779hyxaoXBmqVXPd8CtVgshIrxOKFNib760jMtJw5cVqiBUuWiQn8v7ETezclUWZ0tFex5EQ5tM+wdbauoEOIuKZxYvdB8QOHbxO8m8nnwwREW7/YhXBIlIQ2dkweTKMHet6C2zZkv9jExLgrLOgTx/o2RPi44sup8gxysjI4e1xGzj7tApUrazZUuGiRVPXHGv+wr2c1FFT4OXY+VQEAxhjIoDjcNOk/zNn1Fo72o+5RIpOsDXFOqBMGWjTBn78ER5/3Os0IhIK/v4bXnoJxo2DzZvdnuPnnANNm0K9eu5SoYK7b/16d5kzBz75BD780BXEvXrBww9D48Ze/zQi+Xp/4ia2bsvilmtqeB1FitA/HaJTVARL4fhUBBtjkoFPgfrA4RZdWEBFsISm6dOhVClo1MjrJP/VrRsMGQL79rkPpyIih7N9Ozz1FLz6qvv+7LPh0kvhjDMO31Ogdu1/fz9sGPzyC0yY4EaPx42Dq6+GRx91U6ZFgoi1lpdeX0OL5EQ1xAoz1arEUq5slJpjSaH5ukXSa7iC+UKgMVD3kEu9gKQTKQrTp0P79m7qcbDp1g2ysuD3371OIiLBaP9+eP55qF/fnTC77DK39vejj+C883xvqhcV5d5vhg+H5cvhllvgnXegYUN46CHIyAjojyFSEFN+3cH8hXu5/fqaGKOGWOHEGEOL5EQVwVJovn7qbwPcba392Fq7xFq76tBLIEOKBExGBsydG3xToQ848UT34XTKFK+TiEiwSUlxvQzuuQc6dXLvZW+9VfiR24oV3ZTqxYuhd283wnzccTB/vl9iixTWS2+soVKFaPqeV9nrKOKBlk1LMn/hPnJzrddRJIT5WgRvBfYHMoiIJ+bMcQ1kgrUITkiAjh3dumAREYDcXNc5vm1bWLsWPv0UvvoKmjf37+vUrQvvveeOvXkztGvnRptzc/37OiIFsGR5GpO+28qNV9YgLk5dzcNRs8YJ7EvLYeVqzVCRY+drETwEuNkYo3cbKV6CtSnWwbp2dVs47dK+eCJhb9Mm6NEDbr8dTjkFFixwjawCqWdPmDcPTj8d7rzTvf62bYF9TZF8DB25hpgYw41Xaq16uGrW2DXHWrBIU6Ll2PlaBFcEkoBUY8yrxpj/O+Si1rUSmqZPhxo13H6ZwapbNzfy8ssvXicRES9Nn+5Gf3/7za3d/eILt99vUahUCT77DEaMgJ9/dicOU1OL5rVF8uzYmcXb49ZzSe8qVK6kbZHCVXKSaxSasnifx0kklPm6RdJDB33d8DD3W+DRwscRKWLTpgX3KDC46dBxcW5d8Nlne51GRLzw9ttwww3uhN3UqdCyZdFnMAauv9699rnnuvem9993ewyLFIE331tPWlout11b0+so4qFSJaOoVSOOBQs1EizHzqeRYGttxFEumiYtoWf7dli2LPiL4Lg4OOEErQsWCUdZWa5T81VXwUknuaURXhTAB+vY0eVo2NDtQfzcc2DVoEYCa//+XF55aw1dTihDq+YlvY4jHmualKCRYCmUINwTRqSIzJjhroO9CAa3LnjuXNi61eskIlJUdu5063FffRXuvhu++QbKl/c6lVOjBvz6K/TpA/fdBzffDDk5XqeSYmzU++tZsy6T+26p43UUCQLNGiewcOk+srPVqE+Ojc9FsHHOMcY8b4x52xhTO+/2zsaYIF5QKZKP6dPd9L62bb1OcnTdurnrn37yNIaIFJEVK9y2R7/84vbrHTzYbZcWTOLj4YMP4P773Rrl3r0hLc3rVFIMZWTk8OSQlRzfvjSndy3ndRwJAk2TEtm/37J8ZbrXUSRE+VQEG2PKAn8AnwLXAP2AA6ejrwXuD0Q4kYCaNQsaNYJSpbxOcnTt2kFiovYLFgkHf/zh9v/dtAm+/x6uuMLrRPmLiIBBg9xo9RdfuBN2W7Z4nUqKmddHr2PdhkyefKAexhiv40gQaNbENcdasFBTouXY+DoSPBioCZwAVAAOfgf6Aeju51wigTdnDrRq5XUK30RHw8kna12wSHH3/vuukCxTBv78Ezp39jqRb26+GSZOdMs2jj8eli/3OpEUE2lpOQx6eRVdTyxL1xM1CixOk4YJGAMpi9UcS46Nr0VwL2CgtXYqrhP0wVbjCmSR0LFzJ6xcGTpFMLh1wYsWwfr1XicREX/LzYWHH4ZLL3WjwH/+6WaqhJJzz4XJk13TwU6d/td3QaQQho1ay6Yt+3nivnpeR5EgEh8fSb3aJViwSCPBcmx8LYITgXX53BfHv0eGRYLfvHnu2usuqwVxYF2wRoNFipe0NLjoInjySbj6ajcFOlgaYBXU8ce76dyJidClC3z5pdeJJITt2ZvNs6+uoke38pzQoYzXcSTING2sDtFy7HwtghcDp+VzX2dgvn/iiBSRuXPddSiNBLdsCWXLal2wSHGyfr2b8vzxx/D88zByJMTEeJ2qcJKSXCHcpInbQmnkSK8TSYh6+Y01bNuexRP3axRY/qtZ40SWLE9j/351iJaC87UIHgbcbowZCNTKu62MMaY/MCDvfpHQMXcuVKwIVap4ncR3kZFuZEUjwSLFw6xZ0L69W+bw2Wdw112uY31xUKWK62Z/+ulw3XXwyCPaS1gKZPOW/Tz/2mp69ahAu1Yh0MBSilyzxglkZ1uWLFdXeik4n/ZbsNaONMbUBx4H/i/v5u+BXOA5a+3YAOUTCYw5c9zIaqh94OzaFT75BP7+G+rW9TqNiByriRPhssvcybjff4cWLbxO5H+Jia64v+EGeOIJWLMG3njDNfqTQtu4KZP5C/eyaFkaC5fsY9nf6cTGRlCxfDQVy8dQqUI0HduWpmO70kRGhtjfOuCOh5eQlp7DoIcaeB1FglTTpLwO0Yv20qxJosdpJNT4vOmgtfZ+Y8xw4FSgErAN+N5auyJQ4UQCIjsbFiyAW27xOknBHbwuWEWwSOix1m0pNHCgax71ySdQubLXqQInOhrefBNq1YLHHoMNG2DCBChZ0utkISkrK5fPv9nKiHfX8cMv2/+5vXSpKBrVj2f//lxmzdvDlm37ycpyI+8VykdzRvfynH16Bc7oXoH4+Eiv4vvs68lbeX/iJh67py5NGiV4HUeCVFKDBCIjjZpjyTHxuQgGsNauAt4MUBaRorF4MWRmhlZTrAOSk6FSJbcu+KqrvE4jIgWxa5f7vZ040XWBfvNNiIvzOlXgGQOPPgo1asD117vt3j75BOrU8TpZyNi9J5sXXlvNyPfWsWHTfmpWj+Xxe+tyUscyNGmYQOVKMf/aP9day/Yd2Uz+dTtffLuVSd9vZfT4jVSsEM0d19fi5qtqUKpkgT4CFpm9e7O54Z7FNGkUz/231vE6jgSx2NgIGtYrQYqKYDkG+b4DGmNq5Xff4VhrVxc+jkgRCMWmWAcY40aDf/zRjSiF2nRukXA1ezZccAGsXg0vvAB33BF+v79XXw3Vq8PFF0O7djBuHJxyitepgt6k77Zy472LWLchk57dy/P689U545QKR5zibIyhfLloLuxVmQt7VSY7O5ef/9jJC8NX8+BTy3n2lVXcck0Nbr+uFuXLBdf09IefXcHqtRn89kVbYmN9bV0j4apZ40TmLNjjdQwJQUd6d1kJ/F2Ai0homDPHdV9NSvI6ybHp2tV1lF2yxOskInI01rp1sJ06uRkoP/8Md94ZfgXwAT16uP2Dq1RxTbMGD1bDrHxs3rKfvtcv4OzL5lKmdBR/ft2OL99vxdmnVyzwGt+oqAi6n1yOrz5oxV8/tOeUk8vy1JCVNOr0B6+/u5acnOD4fzB91i5efmMNN/Wvri2RxCdNkxJYvjKd9PQcr6NIiDlSEXzVQZcbcfsEL8Q1x7oJ1yBrUd7tNwQ2pogfzZ0LzZqFbnOWA+uCtVWSSHDbsgXOP99NAe7SxY0GH3+816m817Ah/Pkn9O4N994LffrAjh1epwoq3/24jeST/uTjSZv5v/vq8df3x3Fcm9J+OXabFqX4aFQL5v7YgRbJidxwz2I69pzBjNm7/XL8Y5WZmcu1dy6iWpVYNcMSnzVrkoC1sHCppkRLweRbBFtr37HWvmutfRdIBmYBza21/2etfd1a+zjQDJidd79IaDjQGTpU1a8PNWuqCBYJZp99Bk2bwpdfutHOr75ynaDFSUyE8ePhuefcf6vmzWHyZK9TBYU3Rq/jjEvmUr1KLHOmHMfDd9UlJsb/04KbJycyZWIb3h/RlHUbMunQYwY33rOI3Xuy/f5aR2Ot5arbUpmXupfhzyUF7XplCT5Nk1xXaK0LloLy9V21L/C6tf+es5T3/QjgEn8HEwmIjRth8+bQLoIPrAv+6SfI1QbxIkFl+3bo3x/OPdc1gvrrL7j7bojQ2sb/MAbuuceNCpcs6dYH33knZGR4ncwTubmW+/5vGdffvYjTupTjt0ltSU4K7LYvxhj69q7Coj86cft1NXljzDqanvQnX36/NaCve6hHn13B+xM38dSD9Tn7dJ0sEt81qFuCmBh1iJaC8/WvciKQ37tSJUD96yU0zJnjrkOxKdbBunaFrVvdVk8i4j1r4d13oXFjGDMGHnrIFXfNmnmdLPi1betOFgwYAEOGQOvWYTcqnJ6ew0XXLuC5V1dx45XV+XxMC0omFt1oaKmSUbz4RCOmftWOMqWjOOvSuVx6wwK2bN0f8Nd++4P1PPHiSq6+tBoP3FY74K8nxUt0dARJ9RNIWbzX6ygSYnwtgn8CnjbGtD/4RmPMccBTefeLBL8DnaFbtPA2R2F17equNSVaxHsLFkDnznDlldCggSvonnjCNeAT38THwyuvwLffQlaWGxXu08d10y7mMjNz6d1/Ph9P2szzjzVg2LNJREV5M3PguDal+ev743jsnrpM+GIzTU78k7c/WE9ubmAaZ03+ZTvX3bWIUzuXY/hzSf/a5knEV82aJGgkWArM13fZAUAm8KcxZqUxZpoxZiUwFcjIu18k+M2dC7VrQ9myXicpnFq13IdtFcEi3tm4EW680c0sSUlx+/7+9ltoL7fw2mmnuZMKTzzh1lM3bgyPPQY7d3qdLCCys3O55IYFfDNlG2+80Ji7bqrteSEYExPBo/fUY9YPx9G4QTxX3baQLufOImWRf0favv9pG+dfNZ/GDeOZ8FZzoqO1ZECOTdOkBFatyWDP3qJfzy6hy6d3HGvt30BjXBfoycC2vOvrgSbW2pWBCijiV6HeFOtg3bq57Vay9aYvUqT27IFHH3Unot5803V/XrzY7YOrtb+FFxfnppMvXAhnngmPPw516sAjj7g118VEbq7lylsWMvHLLbz0ZEOuuay615H+pVmTRH75vC1vvdSElMV7adVtOnc/urTQU6Szs3MZ+PRyTr9oDtWrxvLl2FaULqVGWHLsDjTHWrhEo8HiO5//Wltrs6y1I621V1trz8i7ftNamxXIgCJ+k57uPqiG+nrgA7p1g9273bYrIhJ4e/fC88+74vf//g/OOANSU2HYMKhQwet0xU/t2jBhgnuPO+UUNzpcuzbcdZd7Lw9h1lpuvGcRYz/eyFMP1ue262p5HemwIiIMV11SjcV/dKLfhVV4ccRq6rT7nXseW8qmzZkFPt6adRl0OXcWT7/k1gDP+LY9tWrEBSC5hJOmjV1ropTFKoLFdzplLeFjwQLXTbm4jAR36eKuNSVaJLB274ann3ajkffc495D/vzTbfHTsKHX6Yq/Vq3go4/ce/jZZ8PQoW6a9MknuyZkaWleJyywhwat4I0x63nw9jo8eHsdr+McVYXyMbz1UjKpv3XkvJ6VeHHEauq2/4Ob71vEDz9vJzMz/50KrLXMnr+Hex9fSsuu05iXupf3RzRl5ItNiI+PLMKfQoqrerVLEBsbQaqKYCkAc8iuR4d/kDExwAO4rZJqAbGHPMRaa0NqLku7du3szJkzvY4hRenNN+Haa2HZMrfXbnHQrBlUr+6ayYiIf61eDa++CiNHujWpZ57ppul27Oh1svC2aRO88457T1+2zDXV6tHDbUt15plQrpzXCY/ovQkbuPzmVK65rBpvvNDY8zXAx2LJ8jSeGvI3H362mczMXBLiIznl5LKc2KEMsbERGAMG2LhlPxM+38ziZWlERRl6di/Pi483pEG9eK9/BClmWnWd5qbXv9/K6ygSfA77JutrEfwycDPwNTAf1yTrX6y1jxcyYJFSERyGbrnFfXDatav4rNu79VZ46y3YsUOdaEX8wVqYOhVeegkmTnS39e4N993ntvKR4GGt64swfjx89hmsXw+Rke4kRefO7nL88ZAY2L12C2LqjF10Oe8vjm9fmm8/bE1MTGj/Ldq3L4cff9/BVz9s5csftrF67b/3eDYGupxQlr7nVab3mZUoXy7ao6RS3F1ywwL+mLGLlX+d4HUUCT6FKoLXAa9Za5/ydyqvqAgOQ927w759bhpjcfHpp3DeefDrr3DiiV6nEQld+/e79acvvwwzZrgO8tddBzffDDVrep1OjiY3F2bOdMXwDz+4bapyclxR3KKFm1J94NK0qRstDvQIbFoarFsHq1bBqlXsnLeU796dTTW7g4619xO1bQts2eK2hAKXJyICqlZ1684bNHDT7bt2hXbtAp+3kKy17NiZTW6uxVp3jiIuLoJSJUNqoqCEqKeG/M1Dg1awZ0VnEotwj20JCYd98/T1X0kibjskkdCVmgo9e3qdwr86d3YfjKZMUREsciw2bHCzKV57zX2dlOS+7tcPEhK8Tie+ioiA445zl6eeck3Mpk51I8UzZ7rtlt5++3+PL13aLYupX99tOVelClSu7K7LlnX/7w9coqJcRZeb667T0tw68d273cyiTZtgzRpYu9ZdDnx9SCfrkkTQKbICFZrVJqpWLWjfFipWhNhY/qkac3Jc4bxsmSvot2xxT65Tx+2bfOGFbkZCEBbExhjKldVIr3gjuZF7v164NI32rUt5nEZCga9F8BfAyUChO/AYY3oALwORwJvW2mcOud/k3X8GkAZcaa2dlXffKOAsYLO1ttlBzykHfAjUAVYCF1prdxQ2qxQj27e7PT2Tk71O4l9ly0Lr1q4IfuQRr9OIhIacHPj+e3jjDfj8c/f9aae5Yvj004vPcolwlpgIp57qLgds2OC2yVu0CJYvd4Xm7NnwxReQkZHvoXxWoYKbNVC7Npxwgvu6enVsrVoMGJ7Bmz8ZPv+gHad3K+/7MbdudfkmTIAhQ2DwYHfyc8gQ994vIgAkJ7kiOHXxPhXB4hNfi+BXgNHGmFzgK+A/G/VZa1cc7SDGmEhgGHAqsBaYYYz53FqbetDDegIN8y4dgOF51wDvAK8Cow859P3AZGvtM8aY+/O+v8/Hn03CwcKF7rq4FcHgtkoaOtRtAVWihNdpRILX+vUwapRrqLRqlSta7rwTrrkGGjXyOp0EWtWq7nLojCBr3d7PGze6Ud2dO93SmX373IhyTo47MWKMu8THQ6lS/7tUruwaFMYdfqufV0au4bUfl/Dsww0KVgCD+zfav7+7bN8OY8e67bnatnX7Uj/5pHt9kTBXv04JYmIMKYv3eh1FQoSva4IP7n1/2CdYa4/a594Y0wl4zFp7et73D+Q9d9BBj3kd+Mla+0He94uBLtbaDXnf1wEmHTIS/M9jjDFV856fdKQsWhMcZkaOdOv7/v7bTSsrTr7+2u1X+sMPbt2ziPxPdrbrnj5yJEya5Aqa7t3d+0GvXm4qqkiATPtrFyed8xc9upXn03dbEBHhh2nMO3e64nfoUFd4Dx8Ol15a+OOKhLgWnadRq0Ysk8a28jqKBJdCrQm+inyK3wKqDqw56Pu1/G+U90iPqQ5sOMJxKx8okvMK4UqHe5Ax5jrgOoBatYJzY3oJkNRUd/a+OP5/P/FE1/xlyhQVwSLgRvZmzID33oNx49y6ykqV4O673ahvgwZeJ5QwsG17Fhdeu4DqVWN595Vk/xTAAGXKwPPPw/XXu23/LrvMTfF+/HFN5Zew1rRxAtP+2uV1DAkRPhXB1tp3/PR6h/sLcGhx7ctjjom19g3gDXAjwf44poSI1FRo0qR4fkAoWdI1g5lS6CX7IqFt+XI3XfS992DpUjfKe/bZbpTsjDO0jZgUmdxcS78BKWzcnMnvk9pRtkwAGkY1bAjffQc33eRGhpcscdsAalmMhKnkRgmM+2QT+/blkJBw1AmqEuYKVBEYp6kx5iRjTLIp+A7va4GD95qoAaw/hsccalPeNGjyrjcXMJcUd6mpxXM98AHdurmRrz17vE4iUrTWroVXXoFOndwI72OPQY0arsnVpk2uodC556oAliL13Kur+OqHbQz5v0a0axXAJj0xMW6q//PPu3/rXbrAZn0EkvDUNK851qJl+zxOIqHA5yLYGHMNbkryPOAnYD6w3hhzdQFebwbQ0BhT1xgTA1wMfH7IYz4H+uUV3B2BXQemOh/B58AVeV9fAXxWgExS3O3e7T4oF/ciOCfH7RcsUpxZ605qDRrkZkDUrAm33uoaGD37rGt4NWUKXHWV2wZHpIhNn7WLh59ZwYW9KnFj/+qBf0Fj4K674JNPYP58OPNM19RLJMwc6BCdskj//uXofJoObYy5FDeNeDLwHrARqAJcCrxhjEk70MjqSKy12caYAcC3uC2SRllrU4wxN+TdPwLXffoMYBlui6T+B+X4AOgCVDDGrAUetda+BTwDjM8ryFcDfXz5uSRMFOfO0Ad06uRGBCZPdtM+RYqTLVtc47fvv3eXtWvd7e3bw9NPw3nnQePG3mYUAfbszeaSG1KoViWW159vTMEnzBVCr14wfry7vvBCt89wlK+tX0RCX/06JYiONqQuUREsR+fru+O9wFhr7eWH3P6uMWYMbjuioxbBANbar3CF7sG3jTjoawvcnM9z++Zz+zZAHYHk8FLzduAqzkVwiRJw0klufZhIqMvIgN9++1/RO3u2u71sWdf87dRT3TY3NWse+TgiReyWB5bw9+p0fv60LWVKB2Ad8NGcdRa89hrccINbK/z6626kWCQMREdHkNQgnpTFKoLl6HwtgpNwhfDhvAd86pc0IoGQmuoa5NSt63WSwOrRA+65x42S1ajhdRoR32Vnw8yZbhrz5Mnw+++QmQnR0XD88a7pz2mnQZs2rhO6SBAa98lG3v1wA4/cVZcTO5bxLsj118Pq1W6WRK1a8NBD3mURKWLJjRKYOUf9UeTofC2C9+AaVB1Ojbz7RYJTaqqbKlncPzyffrorgr/7zq2HFAlWublu7eLkya7w/eWX/zV1a9nSjWB17w6dO0NiordZRXywcnU6N9yzmE7tSvPwXXW8juNOHK1ZAw8/7P7+XXCB14lEikTTpAQmfL6ZtLQc4uOL+ec+KRRfi+CvgaeNMUustf903jHGdAKezLtfJDilpro1s8Vds2ZQrRp8842KYAk+2dnw88/w8ccwcaLr3AzQqJHbwqhbN+jaFSpU8DanSAHl5Fj6DUjFWsvY4U2JigqCrfiMgTffdNsmXXcddOyoGUISFpKTErDWdYhu0yKAndkl5BVkTXBH4CdjzDpcl+gquFHgZeQ/VVrEW/v2wcqVcHVBmpiHKGPclOiJE13BoYYoEgxSU+HVV13Dnm3bID7eNW876yxX+Gpdr4S4ISNW8+ufO3n3lWTq1g6iPXpjYtye2a1awRVXuPX1EUFQoIsEUNMkN3sodbGKYDkyn94NrbUbgVbAbcBUYDfwJ3AL0NpauylQAUUKZdEid12cm2IdrEcP2LkTpk/3OomEs9xcmDTJreNt2hRGjXJff/yx6/Q8YYL7UK4CWELcgoV7GThoOeedUZHLL6zidZz/atAAXn7ZLTsYMsTrNCIB16BuCaKijJpjyVH5PFRkrU0DXs27iISGcOgMfbBTTnFn+r/5xjUUEilqkyfDbbdBSoqbnv/UU3DttVCxotfJRPxq//5c+g1IpXSpqKLfDqkgrroKvvwSHnzQ/Y1o2dLrRCIBEx0dQaP68domSY6qQPMljTENgOOA6sBaYIa1dlkggon4RWqq6zBbv37AX2rVmnSeGbqKzVv3k51jycqyWAu9elTgmsuqFc06sbJloUMH+PZb+L//C/zriRywciXcdZebjl+3LowdC336uN8/kWLoiRf/Zvb8PXz6bgsqVojxOk7+jIE33oAWLeCSS1wn9hJBNG1bxM+aJiUwa5569sqR+fSp3BgTZ4wZBSzEbYn0LDAWWGiMedMYExvAjCLHLjXVNd4J4Afx7OxcXnhtFckn/cm74zewZEUaq9dmsGXbflauSefGexfTvPM0Jn23FbcNdoD16AEzZsDWrYF/LZHcXHjmGWjSBL7+2nWlTU11H7ZVAEsxNe2vXQx6eRVXXFSVXj1DYJZDhQrwzjvud/PJJ71OIxJQyY0SWLEqnfT0HK+jSBDzdWjqeeBS4FGgAVAy7/ox4HJgcCDCiRRaampAp0LPmL2b9qfN4O7HltHtxHIs/K0j83/uyOwpHZjx3XGk/taRT99tQW4unH3ZXLqfP5vFywI8RadHD7DWNUERCaSdO6FXL3jgAdfsavFiGDgQ4uK8TiYSMGlpOfQbkEq1KjG8/FQjr+P47rTT4PLL4fnnYelSr9OIBEzTxq5D9OJlaV5HkSDmaxF8MfC4tfZpa+0Ka+2+vOungP8DLglcRJFjlJ4OK1YErAj+Zso2Op0xk01b9vPRW835fEwLatf89xQzYwy9elZkwS8deHVQI+am7KHLubNYtiKAb8xt20L58m5dsEigLFgAxx3n/p298gp89JEaXUlYeOCpZSxZnsY7Q5MpXSrEuvA/95w7SXXrre5kqUgxlNwoAUDNseSIfC2CY4H82s1OA4J4MYyErSVL3FTNABTBy1ak0ff6BTRNSmDh7504/+xKR2yKEh0dwc1X1+TXz9uSlW05pc9s1q7P8HsuACIj4dRT3brg3NzAvIaEt4kT3b6ju3e7rrMDBrh1hyLF3ORftjN05FpuvbYG3U4q53WcgqtSBR5/3J28+uwzr9OIBETDevFERRk1x5Ij8rUI/gE4LZ/7TgOm+CeOiB8FqDP03r3ZnHvlPCIi4NN3WxRoJCA5KZFvP2zFjp1ZnNpnNlu27vdrtn/06AGbNsHcuYE5voSvjz6CCy+EZs1g1iw46SSvE4kUiV27s+l/WyqN6sczaGADr+McuwED3O/vbbdBmqaLSvETExNBw3olSFm01+soEsR8LYJfBC40xgwzxnQxxjTJu34NuBB43hhT78AlcHFFCiA11Y2KNmzot0Naa+l/20IWLtnHh280p27tgnfYbNuyFJPGtmTV2gxOv2gOO3dl+S3fP07LO2elKdHiT198AX37ug7kP/zgtkASCRO3DVzC+o37GTMsmfj4SK/jHLuoKBg2DFavhkGDvE4jEhDJjRI0EixH5GsR/DNQC7gRmAwsyLu+Ie/2n4GlB11EvJeaCg0aQKz/mpc/M3QVH32xmWcfbsApnY99KtxJHcsy8e0WLFi0l0tuSPF/1+iqVaFNG/j8c/8eV8LXt9/CBRdA69bw1VeQmOh1IpEi8+lXW3j3ww08cFttjmtT2us4hXfyyXDppW6N8DLtdCnFT9OkRJavTCcjQx2i5fB8ncfZP6ApRALBz52hp87YxcCnl9O3d2XuuqlWoY/Xo1t5Xni8Ibc+uIRR72/g6kv9PKrWuzc89BCsWwfVq/v32BJefvwRzj3XbYP0zTdQuhgUASI+2rJ1P9fdvZDWzUvy8J11vY7jP4MHw6efur8T48Z5nUbEr5KTEsjNdR2iWzYr6XUcCUI+FcHW2ncDHUTEr/bvd1tAnH++Xw5nreXe/1tK5YoxvPF84yM2wSqIm6+qwcQvN3PHw0s45eSy/+kuXSjnn+8+3Hz6Kdx8s/+OK+FlxQp3QqVePbftVrkQbAYkcoystdxwzyJ27c5mysfJxMT4OoEuBFStCnfc4fYNvucet7OAFIy1rkHgtm3uUq4c1K/vdSoBmia5DtGpS/apCJbDOuZ3c2NMsjHmfGOMFoVJ8Fm6FHJy/DYSPOm7rfw2bReP3VOXxET/bYkREWEY9VIy1sLVty/077Toxo3dyN3Eif47poSXjAzo08d9/cUXULGit3lEitgHEzcx8cstPHFffZo1KYZLAO65x22p98ADXicJLdOmuQaUMTFQpowrfI87zi3B6tABXnvNFcXimYb14omMNNomSfLlUxFsjHnVGDPioO97A3OBCUCqMaZ9gPKJHBs/dobOybHc/+RyGtWP56pL/H/Op27tEjz/WAMm/7qDEe+s8+/Be/eGn3+GrVv9e1wJD7fe6jpAjx7tRoJFwsj6jZncfP9iOrUr7ZclMEGpVCkYONDN8pg82es0wW/WLDjrLLdF3F9/uQ7bzz8Pb7/tenA8/zykp7vZV1WrwtVXw151KPZCbKzrEJ2qIljy4etIcE/gj4O+fxyYBLTE7R/8qJ9ziRROSgpEREBSUqEPNXr8BlIX7+PpB+sTHR2YqXDX9avOqZ3Lcc/jy1ixMt1/B+7d242If/GF/44p4eGdd2DkSDdCdPbZXqcRKVLWWq65YyGZ+3N599VkIiOL8T7YN94ItWrB/fe76b3yXzk57qRg27bwxx/w9NPw99+u6L3rLrjySvc+edddMG8ezJkDN9zg3kc7dnSz06TIJTdK0Eiw5MvXT/RVgJUAxpgaQFNgkLV2PjAU0EiwBJfUVDdyVaJwa2zT03N45NkVHNemFL3PCtxUUGMMb73UhMhIuP7uRf6bFt26NdSurSnRUjBz57oPxt26wf/9n9dpRIrcW2PX8/XkbTz3SAMa1ov3Ok5gxcXB44/DzJnw8cdepwk+mZlwySXwyitwyy2u+H3ggSN3yG/ZEoYOdV31N26Edu20W4MHkpMSWPZ3GpmZuV5HkSDkaxGcDhz4be8M7AZm5n2/F9CKcwkufuoM/epba1m7PpNnH27gt2ZY+alZPY7/u68eP/yynW+m+GktkTFuNPi771zzDpGjycx0ewGXKwcffOD2FBUJIytXp3PHw0vpdlJZbupfw+s4RePyy6FpUzc1Ojvb6zTBY+9eN/15/HjXTXvo0IJ1xz/lFDeFulEj6NXLNSGTItM0r0P0kuVpXkeRIORrETwLuNkY0wy4GfjeWnvgtEpdYEMgwokck6wsWLKk0EXwjp1ZPP3ySnp2L0+XE8r6KdyR3XhlDerXKcE9jy8jO9tPZy5793bdsr/6yj/Hk+Jt0CBYuBDefBMqVfI6jUiRys219L8tFWNg1EtNiIgoxtOgDxYZ6ab4LlkC72pDEMD10ujWzW0R9/bbcPfdx3acWrXg11/diYaHH4YRI47+HPGL5EauQ3TKYq3Llv/ytQgeCHTENcNKAp446L5zceuCRYLD8uWuEC5kETzi3XXs3JXN0w8W3XYHMTERPPtwA1IW7eOdcX46t9SpE1SurCnRcnQpKe6D8KWXQs+eXqcRKXKvvrWWn37fyUtPNvLvlnWh4OyzXYfjJ590J07DWWYmnHOOW987caJb81sYcXEwahSceaZrmqWT0kUiqUECERGoOZYclk9FsLV2BlALOA6oa62dd9Ddb6DGWBJM/NAZOifH8vrodXQ9sSytmhftbP/eZ1Xk+PalefiZFezd64dpaZGRcO657o9uuh+bbknxkpsL117rusUOGeJ1GpEit3jZPu57Yhlnnlqe/n2reh2n6BkDjz0GK1e6jvDh7LbbYOpUGDPGFcP+EBUF48ZBq1Zw4YVumrQEVGxsBA3qxqs5lhyWz61urbX7rLV/WWt3H3L7l9baJf6PJnKMDhTBjRsf8yG+nryNVWsyuKl/dT+F8p0xhhceb8jGzft5/rXV/jlo796wb5/bBkPkcIYPdx/6hgzRfsASdrKzc7nyllRKxEUw8sUmAe8BEbR69HD73IbzaPBbb8Hrr8O99/5vn3R/SUyESZPc3sxnngmr/fQ3XvLVNCmB1CUqguW/fC6CjTGtjTETjTFbjTHZxpg2ebc/bYzpEbiIIgWUmgp16kBCwjEf4rW311K1cgy9enhTDHRsV5o+51Ri8Gur2LAps/AH7NIFypZ1Z6FFDrVmjdse5bTT4LLLvE4jUuSef201f/61m9eeTaJq5Viv43jnwGjwqlVue59wM3063HQTnHqqWxoSCFWruplZaWmuWVa4nmwoIslJCSxdka4O0fIfPhXBxpgTgalAY+D9Q56XC9zg/2gix6iQnaFXrEznmynbuPay6gHbF9gXgwbWJyvL8sizKwp/sJgYt85z4kTYvr3wx5Pi5bbb3HToESPch2CRMDI/dS+PPLuCPudU4qJzK3sdx3unn+72tn3qqfAq0DZvhvPPh2rVXGf8yMjAvVbTpm6q9Zw57qSDBExyowRycixLV6hDtPybr5/wnwG+xe0PfOch980C2vgzlMgxy8mBRYsKVQS/PnodERGGay+v5sdgBVe/bjw3Xlmdtz/YwIqVfljLe801rtnH2LGFP5YUH7/+Cp98Ag8+CHXrep1GpEjt359LvwEplC0dxWvPJoXvNOiDHRgNXr3adUUOB9ZC//6uI/TEiW66cqCdcw5cdRU8+yz88UfgXy9MNU1yswI1JVoO5WsR3AYYbq21gD3kvq2AFpBJcPj7b1foHWMRnJGRw6gP1nPO6RWoUS3Oz+EK7r5b6hAVZXj65ZWFP1jLltC2LYwc6f7gi+Tmwl13QfXqcMcdXqcRKXJPvvg3cxbsZeSLTahQPsbrOMHjtNPczgJPPeX+phZ3Y8a4KcrPPAOtWxfd6w4Z4rZQ6tfP7UksfpfUIJ6ICEhZpCJY/s3XIjgDiM/nvqrALv/EESmkQnaG/uiLzWzdlsVN/Wv4MdSxq1Yllmsvq8a7H25g5Wo/jQbPnw8zZxb+WBL6xo+HGTPcB934/N7iRYqnGbN38/TLq7jioqqc41H/h6BlDDz+uOsXUNxHgzdscEtCTjgBbrmlaF+7VCm3L/OKFce+D7EcUVxcJPXrlNBIsPyHr0Xwb8DtxpiDF0gcGEq6Gpji11Qix+pAEdykyTE9/bW319GwXgm6nVTWj6EK575bahMRgX9Gg/v2hRIlXPdLCW+ZmfDAA26GgJphSZhJT8/hiltSqFo5hpeebOh1nOB0yilw/PHFezTYWrjxRsjIcPv4RnjQB+Tkk92MnNdf1/7BAZLcKIGUxRppl3/z9bf9YdyU6Ll5X1vgCmPMj0BH4PHAxBMpoNRUqFHDnV0toLkL9jB15i5uvLIGERHBsy6sRrU4rrm0Gu+M28CqNYUcDS5d2u1P+P77bsskCV/Dhrn9QAcPDmwDGJEg9PAzK1i4JI1RLzWhTOlor+MEpwOjwWvXFt8Tp+PGwWefwRNPQKNG3uV44glo1gyuu07TogOgaeNElq5IZ/9+dYiW//GpCLbWzgVOBjYBAwEDDMi7u7O1dnFg4okUUCE6Q7/z4QZiYgxXXFTVz6EK7/5b6wDwzNBVhT/YNdfAnj0wYULhjyWhaft296GrRw+3FYhIGPnp9x28OGI1N15ZnVO7FEEDpFDWvbubJvz008VvNHjTJjf9uUMH73sixMW5keB169x7s/hVcqMEsrPVIVr+zed5H9baWdba7kBJoAZQylrb1Vo72xijPQXEe7m5sHDhMRXBubmW8Z9tpme38pQrG3yjAjWrx3FV32q89f561qzLKNzBTjgBkpLgzTf9E05Cz9NPw+7d8NxzXicRKVI7d2XRb0AKDeqWYPCjmgZ9VAdGg9etK35/M+68050QHjUqOGbDHH+861D94ovus4z4TbI6RMthFHjxg7U2w1q73lqbZoypZox5GfDDRqYihbR6tdt8/hiK4N+m7WT9xsyg3iPygdtqA/DM0JWFO5AxcPXV8Pvv+kMbjjZudFOhL7sMmjf3Oo1Ikbr5vsWs37ifscObkZAQBIVPKOjWDU46yZ08yyjkSdhg8fPPblnQffcVaktFv3vmGUhMhAEDtIuDHzVuEI8xkLpYRbD8zxGLYGNMe2PMa8aYScaYl4wxdfJuL2+MeQVYDtwMfBrwpCJHU4jO0B9+uokSJSI4+7QKfg7lP7VrluCKi6ry5tj1bNhUyGlp/fpBVBS89pp/wknoGDwYsrLg4Ye9TiJSpN7/eCPvT9zEY/fUpX3rgveNCFsH9g1ev754jAZnZ7sis3ZtuP9+r9P8W6VK7mTDlCmue7/4RYkSkdSrXYIUFcFykHyLYGPM2cDvwPVAO1yx+6cx5gRgQd73XwEtrbWXFkFWkSM7xs7Q2dm5TPhiM2edWoHExKgABPOf+wbUJjvb8tLrawp3oMqV4Yor4I03XNMTCQ+bNsHw4XDppdCggddpRIrM6rUZ3HTfYo5vX5r7b63tdZzQ07Wr62I8aFDojwYPGwYLFrg9eoNxa7jrroM2bf43XVv8omnjBE2Hln850kjwfUAKUMtaWwUoB/wKfJ/3vG7W2vOttSmBjynig9RUqFIFypUr0NN++n0nW7ZmcXEQT4U+oEG9ePqcU4nh76xl566swh3s4YfddKunnvJPOAl+gwe75jYPPeR1EpEik5Nj6TcghZwcy5hhTYmK8mAbnFB3YG3w+vXu5Gmo2rgRHnkETj8dzj3X6zSHFxnpZmlt2AD/939epyk2khslsGR5GllZ6hAtzpH+ErQAnrLWrgOw1u4B7gXigPustT8FPp5IARxjZ+hxn24iMSGSnt1Do0vofbfUYc/eHF57e13hDlS7tusU/dZbbqscKd42b3YfrC65BBqqIZCEjxeHr+bnP3byyqBG1KtTwus4oatLF+jc2Y0Gpxdyuz6v3Hefyz50qCvsg1WHDq5J1ssvwwq13fGHpkkJZGVZlv0dov92xe+OVAQnAqsPue3A9xr9leBi7TEVwfv35zLxy82c27MiJUqERpOU1s1L0qNbeV56YzVpaTmFO9jAgRARoS0ZwsHzz2sUWMLOnPl7GDhoOb3PrBiU29+FnMcec6OpoTga/PvvMHo03H23t3sC++qJJyA6Gh54wOskxcKBDtEpi7UPszhHmxOUX2u6bH8HESmUdevc2pkCFsHf/7ydHTuzg7or9OE8cFtttmzN4u0P1hfuQNWrww03wLvvwrJl/gknwWfzZrcOrm9ftz2WSBhIT8/h0ptSqFAumtefb4wJ5pG/UNGli7s880xojQZnZ8PNN0ONGu7kbyioVs0V7OPHw7RpXqcJeY0bJKhDtPzL0YrgN4wxvxy4AD/m3f7WwbcbY34OcE6RIzvGztAffrqJMqWjOK1LwdYRe+2kjmXo1K40g19bXfj1LfffD7Gxbr1XMMjJgXnz4J134MMPYfJkmDvXNXWSY/Pii+4Dq0aBJYzc/+QyUhfv4+2Xk6lQPsbrOMXH44+70eARI7xO4rvXX3d/R158ERISvE7ju3vucY0s775bWyYVUnx8JHVrlVBzLPnHkYrgX4CdQM4hl5+BXYfc5vOncGNMD2PMYmPMMmPMf3rTG2do3v3zjDFtjvZcY0wrY8yfxpg5xpiZxpjjfM0jxcQxFMHp6Tl8+vUWep9ZkZiY0GqUYozhgdtqs2pNBuM+KWRxWKWK2y5i7Fjv9g3esgWeew7OOAPKl4eWLd16qIsvhlNOgVatXM4uXeCTT1yhLL7ZtcutBe7TBxo39jqNSJH4dso2ho5cy63X1uD0bqHR7yFknHyy2zv42WchLc3rNEe3ZYs7Adi9O1xwgddpCiYx0TXH+u03+PRTr9OEvOSkBG2TJP8wtgjPLBljIoElwKnAWmAG0Ndam3rQY84AbgHOADoAL1trOxzpucaY74Ah1tqv855/r7W2y5GytGvXzs6cOdPvP6N45LrrXHG0ZYvPT5k4aTPnXzWf78a34tQuofchKTfX0rLrNKyFeT91ICKiEFP9tm6FevWgRQv46Se3h3BRWL3arVV98003UpmcDCee6C4dOrgpbFu3usuiRW4d2qpVULcu3Hor3HQTxGiE54iee841g/nrL7fthkgxt3Xbflp0mUbZMtHM/K59yPR7CCm//uqK4RdecFv5BLOrr3ZrgefNK/AWikEhO9v9bc7OhpQUt05Yjsn9TyzjxRGrSVvVRV3iw8thPyAX9b+A44Bl1toV1tr9wDig1yGP6QWMts6fQBljTNWjPNcCpfK+Lg0UcqGkhJxjaIr1yVdbKF8umq4nlg1QqMCKiDDcN6A2KYv2Mem7rYU7WIUKbrrY778XzZTZdevcSG/9+m7f2osvdv8PU1Jcjssvd41LkpPdB63eveHBB9265Y8+cmuZ77jDjUZs3Bj4vKEqMxNeesmNpqsAljBgraX/bQvZtiOLsa81VQEcKCed5EZWn30W9gXxyNqff8KoUXD77aFZAIM7KT14MCxd6v4+yjFLbqQO0fI/RV0EVwfWHPT92rzbfHnMkZ57OzDYGLMGeB5QK71wcgydoXNyLF9N3soZ3cuH9NnAi8+rTJ1acQx6eSWFntXRty9cf737UPPll/4JeKj9+90f86QkGDfONSpZscJ9SPHlA0pUFJx/vhuFGDcOZs+Gdu1g+vTA5A11773n9pq8916vk4gUiZdeX8Ok77by/GMNadW8pNdxirfHH3dN94YM8TrJ4eXkuL8x1aq5vYFD2RlnQNeu7r/5rl1epwlZTRu79eBqjiVQ9EXw4YajD/3knt9jjvTcG4E7rLU1gTuAtw774sZcl7dmeOaWAkyblSC3aRPs2FGgInjqjF1s35HNWadVCGCwwIuKiuCem2rz51+7+WXqzsIf8KWX3Prbfv3cVGV/mjLFHfvee90IQmqqe72aNY/teBddBH/84aaGnXQSvP22P9OGvtxcd8KhdWs3EixSzM2cs5v7nljGuT0rMuDqGl7HKf5OOMHN0nnmGXeyLdi88QbMmuWW3JQM8RMixrj3861b3X9vOSaNGxzYJklFsBR9EbwWOPgTbw3+O3U5v8cc6blXABPzvp6Amzr9H9baN6y17ay17SpWrHhMP4AEoWNoivXFd1uJijKc3jX01gIfqn/fqlSqEM2gl1cW/mBxcTBhAmRluSnKWVmFP+a6dW6UuXt3yMiAL76Azz5z63oLq2VLmDnTFcFXXQWvvlr4YxYXn38Oixe7kw7aGkaKuV27s7no2gVUrRzLWy810XZIReXZZ90Mn4cf9jrJv23Y4PbX7drV/S0rDtq2hcsucyeP16w56sPlvxISIqlbK04dogUo+iJ4BtDQGFPXGBMDXAx8fshjPgf65XWJ7gjsstZuOMpz1wOd877uBiwN9A8iQeQYiuBJ32+lc6cylC5VRA2gAqhEiUhuv74W3/64ndnz9xT+gA0awFtvwdSprpPm9u3HdpysLNc0pXFj17Tsscfcmt+zzip8xoOVLw/ffAO9erlmWZ995t/jhyJr3YfTunVDrxuqSAFZa7n+7oWsWpvBByOaUq6sGgcVmQYN3PvuqFEwZ47Xaf7njjvcSdcRI4rXScAnn3Tv79ru7pglJyVoOrQARyiCjTGzjDFN875+xBhTrbAvZq3NBgYA3wILgfHW2hRjzA3GmBvyHvYVsAJYBowEbjrSc/Oecy3wgjFmLvA0cF1hs0oISU2FMmXcFjo+WLEyndTF+0J+KvTBbupfg1IlI3lm6Er/HLBPHxg6FL7+2k2n/f1335+bleXWorZs6fY27NLF/T969FEoUcI/+Q4VFQXvvw/t27tR52nTAvM6oeK331xDmLvuKrpO3yIeefO99Xz46WaeuL8exx9Xxus44eehh6BcOfd+Ewx72X79tdtjfuBA12CxOKld2zX5GjPG9cSQAktulMCiZfvIzvZ5d1cppvLdIskYkwWcaK2dZozJATpZa4tN9xltkVSMdOniCi8fC7WhI9dw28AlLJvWifp14wObrQjd/8QyBg9bxaI/OtGwnp9+rpkz3VSylSvdXoX33pt/UbVvn9vq6MUX3Xri5GQYNAjOOcc/WXyxeTN06gR79riR7Pr1i+61g8nZZ7uff/VqiC8+/8ZFDpWyaC/tTpvBiceV4dvxrQq3VZwcu1dfhVtuccswzj7buxz79kGzZm5pz5w5EBvrXZZA2bXL/W1r2RJ++KF4jXQXgXfHbeDKW1NZPLUTjerr72OYKPAWSeuBc40xdfKeXMUYUyu/SwACi/imgJ2hv/h2K00axRerAhjg9utqEh0dweBhq/x30HbtXGORPn3cWfXSpd1JhwcegI8/dts13HSTa5BSubI7Q12rllv3O39+0RbAAJUquVGAnBzo2dM1TAs3KSkwaZL7QKoCWIqxtLQcLrx2AaUSIxkzLFkFsJeuv94tfbn7bv/0kjhW//d/7qTt668XzwIY3N/hRx5xzSa//trrNCEnOSmvOdaivR4nEa8dqQh+HbgPWI7rwvwJ8PcRLiJFb8sWd/GxCN69J5ufp+7grFOLz1ToA6pUjuWqvlV598MNrF2f4b8Dlyrlphp/8QVccw2kpblumxdcADfcAGPHutHhq65yo/G//urW/UZ4tPVUo0ZuNOLvv12+YJieV5QGD3bF74ABXicRCajbHlrCwiX7eO+1plSpXEwLnlARHe16QCxZ4l334rlzXYarr3b7yxdnN9zg1mPfcw9kZ3udJqQ0aehODqs5luS7WMxa+7Qx5nsgGXgbGIRbqysSPBYudNc+FsHf/bSNrCzL2acXvyIY4N4BtRn53nqefWUVrwxK8t+BjXGF7YGmVunpbqS3UiW3RinYpmOdcIIbEXjwQZf58su9TlQ01q51JyVuvNE1DBMppsZ9spE331vPA7fV5tQu+rceFM44w/VkeOIJ16iwRYuie+30dLj0UqhQAZ57ruhe1ysxMa754fnnu+0Br73W60QhIzExito147RNkuS/JvhfDzLmR+BGa+2iwEcqGloTXEyMGOE+8K9e7dN+s1cMSGHS91vZlHISUVEejVQG2DV3LOS9jzayYsbxVKsSxqMjOTlu6vbcuTBvHtSp43WiwLv7brd9xrJl4fHzSlhatiKNNqdMp3mTRH7+rE2xfS8PSVu3QtOmUL26a1AYXUSdugcMgGHD3E4Bp59eNK/pNWvd9oDLlrlLYqLXiULGmZfMYd2GTOb82MHrKFI0Crwm+B/W2q7FqQCWYiQ11b3x16hx1Ifm5Fi+mryNnt0qFOsPTQ/eVofsbOvftcGhKDLSddAENxKck+NtnkDbscOtg7voIhXAUmylpeVwwdXziYoyfPB6s2L9Xh6SKlRwJ6dnz3aNEYvC55+7AvjOO8OnAAY3A+v552HTJnctPnMdotPIyQmz5VLyLz7/9TDGNDfGfGSM2WKMyTbGbDbGjDfGNA9kQJEjOtAUy4fpuNP+2sXWbVnFdir0AfXqlODyPlUY8e46Nm7K9DqOt+rUcR+Ofvut+E+RGzEC9u51a8REiiFrLTfdt5h5qXsZO7wptWrEeR1JDue88/43LXru3MC+1rp1rh9F69bw9NOBfa1g1LEjXHih6wWxfr3XaUJGclICmZm5rFiV7nUU8ZBPRbAxpj0wDegKTAIGA18C3YA/jTFtA5ZQ5EhSUnxeDzzp+61ERRlO71ouwKG8N/D2Ouzfn8vzr632Oor3LrvMjY4+8kjgP5B5JSMDXn7ZjYK0auV1GpGAGDlmPe9+uIFH7qpLz+7F+2RmyHvlFdeX4MorYf/+wLxGTg706+fWA3/wQfHtBn00gwa5jtyPPOJ1kpDRNK9DdKrWBYc1X0eCBwELgDrW2v7W2gestf2Bunm3F9GcF5GDbN8OGzf6XAR/++N2jm9fmjKli2iNkoca1Ivn0vOrMPzdtWzeEqAPIKHCGHjtNShb1m3jkZvrdSL/Gz3aTYm7916vk4gExIzZu7nlwcWc3rUcD99V1+s4cjTly7vlGXPmuG7NgejS/9BDbpugV16BJD82ggw19eq5LfFGjXL9L+SomjTK2yZJRXBY87UI7ggMstbuOfjGvO+fBTr5O5jIURWgM/SWrfuZNW8Pp3Up/qPABwy8ow4ZGbm8MFyjwZQrBy++6Bq1vPGG12n8KyfHrQdr2xa6dvU6jYjfbduexQVXz6dq5VjGDm9GZGSQdaOXw+vVC558Et57zxWs/jR4sNuK6frroX9//x47FA0cCGXKuOaI4bYt4DEomRhFrRpxGgkOc74WwUf7jdJvnBS91FR37UMR/MMv2wE4LYy20khqkMDF51Zm2CiNBgNu+4xu3eD++90MguLis89g6VK4777g26pKpJCys3O5+LoFbNycyUdvNad8ueI/k6dYefBBuO46t1739df9c8yRI92sl4sucj0f9L7nTvQ+9hh8/z188YXXaUJCcqME7RUc5nwtgqcBDxpjSh58ozEmAbgP+NPfwUSOKjUVSpRw+9QexXc/badc2SjatCh51McWJ4/cXZeMzFyeeulvr6N478C06PR010W0OLDW7RVZrx707u11GhG/u/fxZfzwy3ZGDG5Mu1alvI4jBWWMK1TPPBNuugkmTSrc8caPd6O/PXu6ZSCRkf7JWRzceKMbFLjzTsgM86aYPmialMDCpfvUITqM+VoEPwg0BVYZY0YbY541xrwLrAKaAQMDFVAkX6mp0KQJRBz5n7G1lu9+2s4pJ5cLu2l0SQ0SuPqSqgx/Zx0rVqoLIklJ8MADronKd995nabwfvkFpk93U+D0YVCKmdEfbmDI62u49doa9O9bzes4cqyiomDcONfB+cIL3dZ1BZ2yay28/bZrdHjCCfDRRxATE5i8oSo62u0Tv3w5DBnidZqgl5yUQEZGLitX67NRuPJ1n+DpuHXBU4DTgTuBHnnfd7TWzghYQpH8HNge6SgWLtnH+o2ZnNo5fNYDH+zRe+oRFWV4+JnlXkcJDvffDw0bulGJ9BD/4/fcc1CxouvAKlKMTJ+1i+vuXkTXE8vy/GMNvY4jhZWYCF9+6XoX9OvntlDascO3527c6NYXX3UVdOrkpvvGxwc2b6g69dT/rcXWlklHlKzmWGHP532CrbXzrLUXWGsrW2uj864vtNbOD2RAkcPavRvWrvWpCP7uJ7ceOFyL4GpVYrnj+lq8P3ETs+fvOfoTiru4OBg+3J0tHzzY6zTHbv58+OoruPVWtyxApJjYuCmT3v3nU7VyDONHNiM62uePKhLMKleGn36Cp56Cjz+Gli1dd+f8RoWthQ8/hKZN3VrXF1+EH390DaAkfy+84LZMeuABr5MEteQD2yRpXXDY0l8WCU0F6Az93U/bSWoQT+2a4Vso3DugNuXKRvHAk8u8jhIcund30/IGDYKVK71Oc2wGD4aEBDeiLVJMpKfncO6V89ixK4tP32lBhfKa8lqsREa6Zll//OFOSHbvDjVquJHh4cNdkfvCC67HQdWqcPHF0KABzJ4Nd9xx1OVPAtSv79YFjx7tdkSQwypVMooa1WJJWaQiOFzp3URCk4+doTMzc/npjx1htTXS4ZQuFcXA2+vy7Y/bmZzXKTvsPf+8+0B1xx1eJym41avduuZrr3VdQUWKgdxcyxW3pDJ91m7GvtaMls3Cq5FhWGnfHmbNcoXvySfDzz+7E3rdurkeB3PnwmmnuXXAv/8OjRt7nTi0DBzoTiLcdBNkZ3udJmg1TVKH6HCmIlhCU2oqxMa6rrhH8Pv0naSn54bV1kj5ual/dWrViOO+J5aRm6tuiNSsCQ8/DJ9+Ct9843WagnnhBXcdigW8SD4eGrScCZ9v5rlHGnDuGRW9jiOBlpgIN9zgTuitWwfLlrklHuvXu+Uqo0e7fgdRUV4nDT2Jia5J1qxZrju3HFZyI9chWp+JwpOKYAlNqanuzPBROuJ+99N2oqMNXY4vUzS5glhcXCRP3FePv+buYcz4YrRPbmHccYdrknXrraGzpcSGDfDGG3D55VCrltdpRPzi7Q/WM+jlVVx3eTXuukn/rsOOMW4ab8+ebgRTCq9PH+jRAx56yPVQkf9o2jiR9PRcVq7O8DqKeEBFsIQmHztDf/fTdo5vX5rERJ1JBrisTxU6tSvN3Y8vZfuOLK/jeC82FoYOhaVLQ2dLiWeecU1PHnrI6yQifjHl1+1cd9ciTu1cjlefScKY8NrKTiQgjIHXXoOcHHeiV/7jQIdoTYkOTz4VwcaYUwMdRMRn+/a5ZkZHKYI3b9nP7Pl7NBX6IBERhhGDk9ixM1tNsg7o0QPOPReeeCL4z5avWwevvw5XXHHUpQAioWDO/D2cd+U8GtWPZ8JbzdUJWsSf6taFRx6BTz6Bzz/3Ok3QadLIbbWVsmivx0nEC77+tfnWGLPMGHOPMUYLdcRbixa566MUwT/kNYAK96ZYh2rRtCS3XVuTN8as58+Zu7yOExyGDIHcXNeQJZg9+6w7qz9woNdJRAptxcp0elw8h1Ilo/hmXCtKl9KMHRG/u+suaNYMBgyAvSr2DlamdDTVq8ZqJDhM+VoEdwNmAE8Aa4wx7xtjOgculsgR+NgZ+vuft1OubBStm6vD6KEeu7cu1avGcsM9i8jOzvU6jvfq1HF7Kn74oduiIxitW+fWAmsUWIqBTZszOe3C2WRl5/Ld+NbUrB7ndSSR4ik62s0gWrPGNYOUf0lulEDKYhXB4cinItha+5O1ti9QHXgYaAf8aIxZaIy5zRhTNpAhRf4lNdW9qdevn+9DrLVM+W0HXU8oS2Sk1pcdqmRiFC8/2Yi5KXt59a0gnwJcVO65x00dGzDArbkNNs8840aBtRZYQtzuPdn07DuXDZsz+XJsK5rkrcsTkQA5/ni48UZ4+WX49Vev0wSVpo3VITpcFWjxjbV2m7V2sLW2EXAqsBV4EVhnjHnHGNM8ECFF/iU1FRo1coVwPv5elcHqtRl0PUHnZ/LT+6yK9OxenoefWcGadeqMSIkS7gNCaiq88orXaf5t7Vo3Cty/vxu1FglRaWk59Oo3l/kL9/LRW83p2K6015FEwsNzz7kTvVdeqWnRB0lulEBaWi6r1+pzULg5pg4UxpgzgFuBjsBmYDTQGZhljLnRf/FEDsOHztA//r4DgG4naT1wfowxvDooCWvh8ptTyMnRWVDOOgvOOAMee8xtRRQsnnjCrVl+8EGvk4gcs/T0HHr1m8cvU3fy7ivJ9OxewetIIuEjMRHefhv+/hvuvdfrNEGjaZKbiaIp0eHH5yLYGFPFGDPQGPM3MAkoA1wG1LTW3gA0AF4HHglEUBEA0tNhxYqjF8G/7aBKpRgaN4wvomChqV6dErz2bBI//7GTp19a6XUc7xnjRoMzM+G++7xO48yZAyNHws03axRYQlZGRg69+89n8q/bGfVSMpecX8XrSCLh5+ST4fbbYfhw+OEHr9MEhQPLMVJVBIcdX7dI+hhYBdwLfAU0t9Z2ttZ+aK3NBrDW5gDvA5UDFVaEJUvciNgRimC3Hng7XU4oq/0mfXD5hVW49PwqPDZ4Bb9P2+l1HO81aODWB48ZA1OmeJvFWveBpVw5ePRRb7OIHKP9+3O54Or5fDNlGyNfbMIVF1f1OpJI+HrqKUhKgquugl3aIaJsmWiqVo7RSHAY8nUkuCFwO1DdWnuztTYln8fNB7r6I5jIYfnQGXrJ8jQ2bNqv9cA+Msbw2nNJ1K1VgktuTGHHziBsClXUBg6Ehg3h6qu9XTs1cSL8/DM8+SSU1b9nCT0ZGTlceM18vvx+G8OfS+LqS6t5HUkkvJUoAe++63YcuOUWr9MEhaZJidomKQz5WgSfBbxprf3Pp0FjTJQxphaAtXaPtfZnfwYU+ZfUVIiMdAVKPn78za0H7nqiigZflSoZxQevN2P9xkyuvXMh1ob5+uASJWDUKFi1ym2d5IX0dLdvcYsWcO213mQQKYS9e7M569K5fPbNVl4d1IgbrqzhdSQRAejQwW2XNGYMjB7tdRrPJSfFk7pYHaLDja9F8N9A63zua5l3v0jgpaa66aqxsfk+5Mffd1C9aiwN6pYowmChr33rUjz9YH0+nrSF54et9jqO90480Z0lf/VVNxpb1F58EVauhJdecid+RELI9h1ZnNJnNj/+voN3X0nm5qtreh1JRA728MPQuTPcdBMsWuR1Gk81TUpkX1qOdsoIM74WwUdaWBkN5Pohi8jRHaUztLWWn353+wNrPXDB3XVTLS7sVYl7/28ZY8YHUXdkrzz9NNSr56ZFp6UV3euuW+deu3dv6KoVJhJaNm7KpMu5s5g9fw8fvdWcfhdpDbBI0ImMhLFj3cyniy5ys4/CVPKB5liaEh1W8i2CjTFljDH1jDH18m6qfuD7gy5NgSuAjUWSVsLb/v2wdOkRi+DUxfvYvDWLbidpKvSxiIgwjH61Kd1OKstVty/kmynbvI7krYQEeOstWL7crRMuCta6TtA5OTB4cNG8poifLFq6jxPO+osVq9L5cmwrzjuzkteRRCQ/1au79cHz5sFdd3mdxjNNG7sieMFCFcHh5EgjwbcBy4ClgAU+yvv64Ms84HrgjcDGFMEVwDk5RyyCD+wPrKZYxy42NoJP3mlBs8YJnH/VPKbPCvPukV26uOliL78MX38d+NcbMQI++wwGDXKj0CIhYvIv2+l0xkz27stm8setOaWz9mkXCXpnnOEK4OHD4aOPvE7jibJloqlRLZb5Cz1shClFzuTXAMcY0xJohZsKPQp4Elh+yMMygVRr7bwAZgyIdu3a2ZkzZ3odQwpiwgS48EKYPRtatTrsQ3pfOY/ZC/bw98wTijZbMbRxUybHnzmTPfty+OmTNjRtnOh1JO+kpcHxx7tGWTNmuHXpgbBgAbRv79ZpffUVRPi8lbuIp94au54b7llEUoN4Jr3Xkjq11JNBJGTs3+/2EE5JgWnTjjjYUFyd0XcO6zdmMufHDl5HEf877PrIfD9hWWvnWmvftda+A/QHhuZ9f/BlXCgWwBKiUlLAGLe/3WHk5lp+nrpDo8B+UqVyLN+Nb01UpOGEs/5i8i/bvY7knfh4+OQTV5Seey7s2eP/10hPh759oVQpNz1NBbCEgOzsXO59fCnX3LGQbieW5fdJ7VQAi4SamBg3ChwfD+edF5b7B7dIdtskZWWpzVG48OlTVl7BuzXQYUSOKCUF6td3TRwOY17KXrbvyFYR7EcN6sXz59ftqFEtlh4Xz+HN99Z5Hck7devChx/CwoXQv79bu+tP997rRoLffRcqV/bvsUUCYOOmTE7tM5vBw1ZzU//qfPl+S0qXivI6logcixo1YPx41wOjXz/IDa9isEVyIllZlsXLirAJpnjqSI2xphhjGh/09ZEuk4susoStBQugWbN87/5nPbD2B/ar2jVL8PukdnQ/qSzX3rmI+/5vWfjupXfKKfDcc/Dxx27Nrr989JHbiumOO6BHD/8dVyRAfvp9B627T2farN28MzSZYc82JipKsxdEQlrnzvDCC/D55/DUU16nKVItkt2Sr3mpWhccLo70F+vg+dMRed/nd9FfPgmszEzXGKtp03wf8uPvO2hQtwQ1qsUVYbDwULpUFJPGtuTGK6vz3Kur6H7+LJYsD9OzpXfeCZdc4rpFDxlS+ONNmOCmQXfs6N/CWiQAcnIsg15eSffzZ1G6VBTTvm7PFRdrCySRYuPWW+Gyy+DRR+HLL71OU2SSGsQTHW1UBIeRfOctWWu7HvR1lyJJI5KfxYtdZ+h8RoJzciy/TN3Jhb20HUegREVFMOzZJNq2LMXdjy2lRZdpPHRHHe4dUJuYmDA6D2aM2zYpM9MVxGvXuq2MjmUN75gxcOWVrunWl19CbKzf44r4y9IVafS/NZXfp+/ionMrMfLFJpRM1PRnkWLFGHj9dbcE7ZJLXKOsxo29ThVw0dERJDdKUBEcRsLok6uEtJQUd53PSPDs+XvYtTubbpoKHVDGGK6+tBoLf+vIuT0r8PAzK2jdfTrfTNlGfp3mi6W4OLc+eMAAePFFd9Y8M7Ngxxg5Eq64wm3B9M03riGWSBDKzbUMHbmGll2nkbJ4H2OGJfPB681UAIsUV/Hx8Omn7sTsOefAjh1eJyoSzZskapukMOJTEWyM6WWM6X/Q97WNMVONMXuMMR8ZY8J47xQpEgsWQFRUvp2hp/zq3qC7HK8iuChUqRzLuDeaM2lsS/al5dDz4jm06jqdMeM3hE9nxchIGDoUnn0WPvgATjsN/vrr6M9bt84Vz9dd59b/TpoECQmBzytyDBYu2Ue33rO4beASuhxflgW/dOCyPlUx5rA7TohIcVGrFkycCCtXwkUXQXa214kCrkVyImvXZ7J9R5bXUaQI+DoS/BBQ8aDvXwRqAG8AJwOP+TeWyCEWLICGDV0b/8P48fcdNGkUT5XKmk5alM48tQJLpnbi7aFNyMm19BuQSr32f/DEC3+Hx5phY1xX5zFjYM4caNcOuneH7777b/fodevglltch/PXX4cbbnDbLuXT7VzES7v3ZHP3o27Zw5wFe3lzSBO+fL8l1auq54JI2DjxRBg+HL7/3v2tK+YONMfSaHB48LUIrg/MAzDGlADOAO601t4FPAicF5h4InlSUvJdD5yVlcuvf+7U1kgeiYmJ4MqLqzH/5w58+X5LGtWP59HnVpDUaSqtuk7j6ZdWsmjpvuI9Xfqyy2DNGrc2eNEiOP10qF3bzVxo2BDq1XOXESPg8sthyRL3wUJrgCXI5OZaRn+4gaROU3lxxGquvLgqS//sxNWXVtPor0g4uvpq1yxryBB4+22v0wRUi6bqEB1OfC2C44D0vK+PxzXU+i7v+8VANV9f0BjTwxiz2BizzBhz/2HuN8aYoXn3zzPGtPHlucaYW/LuSzHGPOdrHgkBaWmwYkW+RfDMOXvYl5ajrZE8ZozhjFMqMPnjNqyZcwIvPdmQhPhIBj69nCYn/Emdtn9w/V0LmThpM7t2F8NpVaVKwd13w99/w6hR0KkTtG4Nxx3nzqbfcovrcD5ypNtzWCSIWGuZOGkzLbtO44pbUqlVI45p37Rn5ItNqFjh8DNwRCRMvPCC2yLwhhvgjz+8ThMwVSrFUKF8tIrgMOFrV4uVwInAz0Av4C9r7a68+yoBu/J53r8YYyKBYcCpwFpghjHmc2tt6kEP6wk0zLt0AIYDHY70XGNM17xcLay1mcYYtQguThYudFNL82mKdWB/YK0HDh7Vq8Zx23W1uO26WqxZl8FXP2zl2x+388Enm3hjzHoiIw2d2pXi9K7lOb1redq2LElERDEZZYqJgf793UUkyFlr+fL7bTzy7Apmz99Do/rxvD+iKRedW7n4/E6KSOFERblmkMcdB717w4wZULOm16n8zhhDi+REFcFhwteR4NeBx4wxM4GbgLcOuq8TkHrYZ/3XccAya+0Ka+1+YByueD1YL2C0df4Eyhhjqh7luTcCz1hrMwGstZt9zCOhYMECd53PSPCPv+2geZNEKpTXaEUwqlk9juuvqMHEd1qwbfHJ/PJ5G+67pTbpGbk8/MwKjjt9BlWb/cqN9yzix9+2k5NTjKdNiwSJtLQcXn93Lc1OnsbZl81l1+5s3n0lmZRfO9C3dxUVwCLyb+XKweefu9l5557rrouh5k0SWbBorz6LhAGfimBr7cvAlcBU4Cpr7ciD7i4JvOPj61UH1hz0/dq823x5zJGe2wg4yRgzzRjzszGm/eFe3BhznTFmpjFm5pYtW3yMLJ5LSXGja/Xr/+euzMxcfp+xk24naRQ4FERHR3BSx7I89WB9Zn5/HJtSTmLMsGRO7lSWd8dvoFvv2VRr/isD7l9M6mKdiRXxt6Ur0rj/iWXUbP0bN9yzmNiYCN59JZlFf3Sk30VViYrSzokiko/kZHj/fZg9G6666r8NIIuBFsmJpKXlsmJV+tEfLCHN503+rLVjgbGHuf36Arze4U4tH/oblN9jjvTcKKAs0BFoD4w3xtSzh3Tisda+getoTbt27Yrfb25xtWABNGnipuMcYtqsXaSn56opVoiqVDGGy/pU5bI+Vdm3L4evJm9lwuebeXPseoaNWsspJ5fjlmtqcOapFYiM1MhUcWStZcfObNasy2DtBrc1xa492eza7S6Z+3PJyrJk51iysy1RUYbYmAjiYiOIi4v4z9elSkZRvmw05ctFU75sNBXKRRMfH+n1j+mprdv2M/6zzYyZsIE//9pNRAScd0ZFbruuJid2KKOGVyLiu7POgkGD4P77oUULePBBrxP51T8dolP30rBevMdpJJAKvNN93nrb/+yRYK1d7cPT1wIHLyKoAaz38TExR3juWmBiXtE73RiTC1QANNxbHKSkuMZCh/HjbzswBk7uVKZoM4nfJSRE0uecyvQ5pzJbtu5n5HvrGf7OWnr1m0f9OiV48oF6XHRuZX1gD1HWWtasy2Ruyh7mpe5lbspeFizay6q1GaSlHX5v6djYCErERRAVZYiKNERFGXJyLBmZuWTuzyU9PdengYi4uIh/CuJKFWKoViWWGtViqV4llupV8y5VYqlUMabYTANe/ncaX/6wjUnfbeWnP3aQlWVp3iSR5x5pQN/elalRTVsdicgxuvdemDcPBg50/Vp6HbqyMXQlN0ogIsJ1iO59lloMFWc+FcHGmFLAy8BFQH57evhyqn0G0NAYUxdYB1wMXHLIYz4HBhhjxuEaY+2y1m4wxmw5wnM/BboBPxljGuEK5q2+/GwS5HbvhtWr818P/PsOWjcvSdky0UUcTAKpYoUYHry9DvcOqMUnX23hyRdX0vf6FF4csYbnH2vAyZ008h8KNm7KZMpvO5j863Ym/7qDVWsy/rmvbq04micncnrX8tSsFkfN6rHUrBZH+XLRlC4ZRelSUcTGHnlqrrVudDgjM5eMjFwyMnPZvSebbTuy2LY9i207sti6/X9fb9uRxaYt+1n46z42bNr/nzVfUVGGalViqVU9llrV46hdM45a1eOoVeN/16VKFvjccZFYsy6D36fv5Ldpu5j863YWLXXr9Ro3jOf262py6flVaNmspMcpRaRYMAbefNNt93fZZTB1ar6f00JNfHwkDevFqzlWGPD1r/kw4HxcQ6z5QOaxvJi1NtsYMwD4Flc0j7LWphhjbsi7fwTwFW4f4mVAGtD/SM/NO/QoYJQxZgGwH7ji0KnQEqJS83quHaYzdHp6DlNn7uKWq4tfh0JxoqIi6HNOZXqfWYkxEzbw0KAVdO41i149KvDqM0kazQpCB6bevj9xI79PdxsHlCkdRdcTynLXjbVo26IkzZok+qWYNMYQHW2Ijo6gZGLBnpuTY9m0ZT/rNmTmXdx07LXrM1mzPoOpM3cx/vPNZGf/+09J6VJReQVx7L8L5Lyvq1WJCei62qysXJavTGf+wr0sWLiPBYv2MnPuHlavdScYEuIjOeG40tx4ZQ3OPKU89etqOp+IBECJEvDpp9CuHZxzjusYXb6816n8okVyIrPm7fE6hgSY8aVWNMZsBh631g4LfKSi0a5dOztz5kyvY8jRvPkmXHstLF8O9er9664pv26n+/mzmTS2JWeeWsGjgFKU0tJyeOmNNTz10t/EREfw6qAkLjlfU6S9lptr+eqHbQx/Zy3f/bSd7GxLclICfc+rTI9u5WndvGRIruk+UCivWpPB6nUZrF6bd33Q19t3/HvP64gIqFg+hkoVYqhc0V3KlomiTOmof0a440tEEhPj1jbHxLiCOSsrl+xst/Z5774cdu7KZueubHbsymLj5v2sWZfB6nWZbNiU+c8U8IgIaFA3npZNEzmxQxlO7FCaFsmJam4lIkVn2jTo3BmOPx6+/RaiQ39m3hMv/M0jz65gz4rOJCYG5+wfKZDDfgDx9f+sARb7L4uIjxYsgPh4qFPnP3f9+PsOIiMNJ3UsU+SxxBvx8ZE8eHsdLjynEv0GpHLZTSl8+vUWhj+XpC2yPJCRkcN7H23kheGrWbQ0jRrVYrnrxlpc0rsyzZMTQ/7kRGSkmx5drUosndqXPuxj9u7NZs36zH8VyJu27GfTlv1s3rKf5SvT2JnX5Cv38Euf82WMG3muVCGGWtXjOL1rArWqx1GvdgmaJyfSuEE8JUqEd9MvEfFYhw7wxhtwxRVurfCQIV4nKrQDzbEWLNpHx3aHf++X0OdrETwOOBv4IYBZRP4rJcW15I/478jGj7/toG3LkkG7Rk8Cp0G9eH79oi2Dh63ikWdX8Nu0nYx/sxknddRa4aKwf38uw99Zy6CXV7Fpy35aNy/J+yOacsHZlYiODq9RyMTEKJo0iqJJo4QjPs5aN8K7a3c26Rm57N/vmntlZlqM4V/NvxLiIylbJopSJaOKTaMuESnG+vVz06Ffegm6dnXTo0PYgSJ4XupeFcHFmK/Vw3fAS8aYkrg1u9sPfYC1doo/g4kAbiS4R4//3LxvXw7TZ+/mrhtreRBKgkFkpOH+W+vQs1t5+lwzn+7nz2bYM0lce/mhW4+Lv1hr+ezrrdzz+FKW/Z1O95PK8v6IpnQ9sWzIj/oGmjGGkolRlNTUOhEpjp5/Hv74A6680u0jXLu214mOWe2acZQqGcmcBVoXXJz5+tf4s7zrusCVB91+YP9ei2/doUV8t20bbNx42KZYv0/fSVaWpcvxGvkLdy2blWTaN+3pe/0CrrtrEfNS9/Li/zUMuxHJQJuXsodbBy7h5z920qRRPF990JIe3cqr+BUREYiNhQ8/hDZt4OKL4ZdfQnZ9cESEoWXTksyeryK4OPO1CO4a0BQih5OS1/z7MG33f/x9B1FRhhOO0zQVgbJlopk0tiX3P7GcF4avJnXJPj56q7m2zvKDrKxcBr28kideXEmZ0lG89mwS115eTc2XRETk3xo0+P/27js8qjLt4/j3TgIECBB6V+kuUgRCR0BRQBAQO+ouWNaCbVddF1Z3xXVfe2Wt2Dsqa0ERaQJSRDoBBKQLqLSEmkaS5/3jDDjEAAFm5iST3+e65pqcM+ec5555Djr3PA1eecVLgu+7Dx591O+ITljrFuV45d0t5OS4IjmxoxxbgZJg59z0cAci8jsHk+B8WoKnzkqlXavymrVPDomLi+GJBxrRomkCf75rBd0vXMiED8+kRvUjLW0ux7Jk2V6G3P4Di5ft48qLqjPyoSZUrqQfFkRE5AguvxymToXHHvPGB+czpK0oaNWsHGlpufy4Nu2Ycz5I0XRcP+WbWRUzu8DMBptZpcC+eDNTk4CEXnIyJCZCnTqH7d67L5v5i/dydhd1hZbf+9PlNRn33pms3ZDOWf0XsOGndL9DKnJycx2PjNxAUs95/LI1i0/fbMF7LzVTAiwiIsf29NNeA8a110LK76YRKhJaNfcmx1KX6OhVoOTVPI8Dm4GxwOvAaYGXPwfuDUt0UrwtWQItWnjrhASZ+f0ucnIcZ3dWEiz5O7dbJSaPacXO1AN0vmABP6za53dIRcbOlAP0u3oJw/+zlov6VmX5jA5c2Keq32GJiEhRUbo0vP02bN8Ot9/udzQn5A+Ny1KqVIyS4ChW0Bbc4cCtwL+B9hy+6PAXwAUhjkuKu9xcWLoUWrb83UtTZ6ZSooTRUdPWy1F0SKrA9M/akJvrOKv/AhYm7/E7pELv+wW7aX3uXCZ/m8ILjzZh9Ci1/oqIyAlo3dobF/zee/DJJ35Hc9xKlIih2elllQRHsYImwdcD/3bOPQQszPPaGqBBSKMSWb8e9u3zWoLzmDorlQ5tKlCmjCYkl6Nr3jSBWV8mUS4hjvMuXcTSH9QifCQvvrGZs/ovICYGZn2ZxM3X1NHMzyIicuL+8Q8vGb7pJq9VuIhp1bwci5btxTnndygSBgVNgmsDc47wWhagEeMSWsnJ3nOeJHj3nmwWJu9VV2gpsPqnlWbKmFaUjo+lxyULWfHjfr9DKlRycx33PLCaoX9fRc/ulVg4uR1JZ5b3OywRESnqSpTwukXv3u0lwkUsmWzVrBwpqdls2pLpdygSBgVNgrcAv1+nxtMSWB+acEQClizxxgLnWR5pxpxd5OaiSbHkuDSoV4Yp/2tFjBk9Ll7ImnVpfodUKGRm5nLVzct5/PmfGHpNbT5/u6WWlRIRkdA54wx48EGvS/SHH/odzXFp3aIcAAuT1SU6GhU0Cf4Y+JeZdQ7a58ysMXAXMDrkkUnxlpwMjRpBmTKH7Z46M5VSpWLo0EYtVXJ8mjQsy5T/teJAtuOcixcW+1mjd+0+QO8rFjH60608cl8DnnukidZCFBGR0LvrLmjbFv76V69VuIho0TSBmBjNEB2tCpoEjwBWAt8CqwP7PgaWBrYfCXlkUrwtWZL/pFizUumYVJ74eI0HluN3xukJTP64Ffv253DORQvZtCXD75B8sWlLBl36LWDW3N28+8IZ/P320zT+V0REwiM2Fl58EbZtg3/+0+9oCqxMmViaNCzDomVKgqNRgZJg51w60B0YAswGJgPzgBuA85xzWWGKT4qjvXth3brfjQdOST3A4mUaDywnp2Wzckz40Fs+qcfFC/lla/Ea65O8fC8d+8xn05YMxn9wJlddUsPvkEREJNq1aQNDh8Lzz8PCvHPsFl6tmpVTS3CUKmhLMM65HOfcO865q51zPZ1zg5xzbznnssMZoBRDS5d6z3lagr/9bhfOaTywnLy2rcoz/oMz+fnXLHpcvJBt24vH73jfzEjhrP4LAJgxtg09ulbyOSIRESk2HnwQqlb1JsnKyfE7mgJp1bwcm3/OZMfO4vE9oTgpUBJsZvFm1sXMLjWzS8yss5nFhzs4KaaOMDP01FkplC4dQ7tWWh9YTl6ndomMe78lGzZlcN6li9iZcsDvkMLqvTG/0vuKxdStHc93XyXR4oxyfockIiLFSWIiPPkkzJsHr7zidzQF0qq59/9KtQZHn6MmwWZWysyeBVKA6cCHwEd4Y4N3mtkTZlYy/GFKsbJkCVSoAKecctjuabN20SmpAqVKFbgDg8hRdetUkc/fasGqtWn0unwRu/dEX8cW5xyPjNzA1UOX07ldBWZ+0Ya6tfUbpoiI+ODKK+Hss2H4cNi61e9ojum3JHifz5FIqB0xmzBvlpQvgVuBr4Ebgd7A+YG/JwF/BT4Le5RSvCQne63AQRP17NiZRfIP+9QVWkLuvO6VGfNac5Ys30efQYvZty96EuGcHMetw1Yx/D9ruWJgdb4e3YrECloCSUREfGIGL7wA+/YViUmyKlUswal14zU5VhQ6WpPaJcDZwCXOuYucc6865yY65yYE/r4QuBToaWYXRSJYKQZyc70kOM944OmzdwFoUiwJiwt6VmH0y834fuEe+v1xCWlpRWOs0tGkpeVw8TXJvPDGFv52yym89+IZ6kUhIiL+O/10uOUWeO01WL7c72iOSZNjRaejfSMaBHzknPv0SAc45z7BWyrpqlAHJsXUhg3er4O/Gw+cStkysbRtpfWBJTwu7leNt59ryvTZuxg4JJnMzFy/QzphO3Z6E36NnbCDkQ815rH7GxEToyWQRESkkPjnP6FcObjnHr8jOaZWzRP4cW1aVPUUk6Mnwa2AcQW4xpdA69CEI8XekiXec56W4KmzUunSvgIlSqglS8Lnyotr8OrTf2DitBQuvjaZjIyi1yK8dn0anfrOZ/HyfYx5rTm3XV/X75BEREQOV7ky3HsvfPUVTJnidzRH1ap5OZyDJcs1LjiaHC2jqAr8VIBr/ARUC004UuwlJ3vjRc4449Cubduz+GHVfrqrK7REwLVX1uKlx5swbtJOBvwpuUh1jZ63aA8d+85nZ+oBJn/ciosu0H+aRUSkkLrtNjj1VLj7bm84XCF1aHIsjQuOKkdLgssAmQW4RhagqUYlNJYsgYYNoWzZQ7umzU4FNB5YIufGwXV4/dk/MGl6ChdcvYT9+wt/Ijxu0g66D1xA2TKxzB6XROf2iX6HJCIicmTx8fDww7B4Mbz7rt/RHFHtmqWoWqUEC5OVBEeTY/UtrW1m9Y/2AOpEIlApJvKZFGvqzFTKJcTSpqXWNZXIuWZQLd55/gymz06l9xWL2LO3cI4Fcs7x7Kif6P/HJZzesCzfjUuiScOyxz5RRETEb5dfDm3bel2j09P9jiZfZkbbM8szb/Eev0OREDpWEjwGWH2Mx8fhDFCKkb17Ye3afCfFOqtDInFxGg8skXXVJTUYPaoZcxbs4eyBC/lla0E6x0ROVlYuf75zJX+5bzX9e1Vl+metqVG9lN9hiYiIFExMDDzxBGzeDP/9r9/RHFG7VuVZvnI/ezU5VtSIO8pr10QsChGAZcu856CW4J9/zWTVmjSuv6qWT0FJcXdp/+qULRPLZdcvo33veXz5bktanOF/r4Rt27O4+NpkZn6/m/vuPI0H7qmvGaBFRKTo6doVeveGxx6Dm2/2Zo0uZNq2Ko9zsDB5L906aXheNDhiEuyceyuSgYgcmhk6qCV42ixvPLAmxRI/9Tm3CjO/aEPfq5bQpd8CPnq1Ob3PqexbPHPm7+aKG5exdXsWH7x8BlcMrOFbLCIiIiftgQegfXt47jkYPtzvaH6n7ZneEp3zFu1REhwl1L9UCo+FC6FiRW+mwIBps1OpUD7u0Mx8In45s3k55k5IosFppbngqiU8O+onnHMRjSEnx/Gfp9bTpd8CzGDG2DZKgEVEpOhr1w769oXHH4c9hW/sbdUqJTntlHjmLip8scmJURIshceCBdC6tbdEUsDUmal07ZhIbKy6eYr/ateMZ8bYNvQ9rzJ/uW81fQYtidg44U1bMjjnooX885F1XNq/Gou/aU9S4JdpERGRIu+BByA1FZ591u9I8tWulSbHiiZKgqVwyMyEpUuhTZtDuzb/nMGa9elaGkkKlYSEOD57qwXPP9KE6d+l0rzb93zy5bawlXfgQC7PvbaJFt2/Z2HyXt76b1Pef+kMKpQ/2pQOIiIiRUybNjBgADz1FOza5Xc0v9OuVXk2/JTBtu1ZfociIaAkWAqHZcvgwIHDkuCpMzUeWAonM2PotXVYOLkd9U6J5+JrlzLoxmWsXpcW0nLGT9lBi+7fc9vwH2ndohyLprTjT5fXxEw9I0REJAqNGOElwM8843Mgv9e2VWBcsFqDo4KSYCkcFi70noOT4FmpVEyMo+UZCT4FJXJ0pzcqy+xxSdx/dz0+/3o7f+g8hyG3/cDa9SeeDOfmOiZN20nvyxfRZ9AScnIcn7/dgsljWtGwfpkQRi8iIlLInHkmXHQRPP201zW6EGndvBwxMd7kWFL0KQmWwmHBAqhQAerXP7Rr2qxUunWsqGVfpFArUSKGEffUZ93cTtx+fR0+/HwrTTrNYdCNy/jgk1/ZmXKgQNfZuCmdEY+to17SbHpetph5i/fw1L8bsezbDvTvXVWtvyIiUjyMGOFNjlXIxgYnJMTRtElZTY4VJSzSs5sWFklJSW7+/Pl+hyEHtW3rrQv3zTcArNuQToN2sxn5UGNuu76uz8GJFNyvWzN59LmNvP3RL6SkZhMT440jOqtDIpUqlqB8Qhzly8WSmws//LifZSv3sWzlfjZuysAMzu1aieuuqsWA3lWIj4/1++2IiIhE3oABMHMmbNwICYWnR+B1f/mBsRN2sO2Hs/TjdNGRb0VpZhXxX1YWJCfD7bcf2jX52xQAzutWya+oRE5IjeqlePrBxjwxohHzF+9h/JSdfD11J0+/vIns7MN/dCxRwji9YVk6t63ALdfU4bIB1Ti1bmmfIhcRESkkhg+Hjh3hlVfgr3/1O5pD2rUqz+vv/8KGnzKod6r+f12UKQkW//3wg5cIB40HnvxtCrVrlqJJQ42BlKIpNtZo36YC7dtUYMQ99XHOkZGRy5692ezZl0NurqP+qaUpUUKjUkRERA7ToQN06wZPPglDh0KpUn5HBPw2OdbcRXuUBBdx+vYl/luwwHtu3RqAnBzHlBkpnNetkrqaSNQwM0qXjqV6tVI0ql+GJg3LKgEWERE5kuHDYcsWeO89vyM5pPkfEihVKkaTY0UBfQMT/y1Y4I0HbtgQgMXL9pKSms25XdUVWkRERKRY6tkTWrWCRx+FnBy/owG8yTBbNUvQ5FhRQEmw+G/BAq8VOMa7HSdN98YD9zhL6wOLiIiIFEtmMGwY/PgjfPaZ39Ec0q51eRYk7yE7O9fvUOQkKAkWfx04AEuWHD4eeHoKzf+QQI3qhWP8h4iIiIj44OKLoVEjePhhKCQr2rRrVYG0tFxW/JjmdyhyEpQEi79WrIDMzEPjgdPTc5g5dzfndlUrsIiIiEixFhsL99zj9RqcMsXvaIDDJ8eSoiviSbCZ9TazVWa2xsyG5fO6mdnIwOvJZtb6OM6928ycmVUJ9/uQEDk4KVagJXjm97vIzMzlvO4aDywiIiJS7P3xj1CjhjdTdCHQsF5pEivEMXfhbr9DkZMQ0STYzGKB54HzgabAIDNrmuew84FGgccNwIsFOdfM6gLnAT+F+W1IKC1Y4C2C3rgxAJO/TaVECaNrB7UEi4iIiBR7pUrBrbfC11/D8uV+R0NMjNG+dXlmz1cSXJRFuiW4HbDGObfOOZcFjAYG5DlmAPC288wBEs2sZgHOfRq4BygcAwakYBYu9Gb+C5oUq1PbCpQtG+tzYCIiIiJSKNx4I5QuDU8/7XckAHRul8jylfvZtfuA36HICYp0Elwb2BS0vTmwryDHHPFcM+sPbHHOLQl1wBJG2dmwePGhrtA7dmaxaOleLY0kIiIiIr+pUgUGD4Z334WtW/2Ohi7tK+AcfKfW4CIr0kmw5bMvb8vtkY7Jd7+ZlQHuBf51zMLNbjCz+WY2f/v27ccMVsJs5UpITz80KdY3M1MBOK+bkmARERERCfLXv3qTqb7wgt+R0K5VBWJjjZnfKwkuqiKdBG8G6gZt1wF+LuAxR9rfAKgHLDGzDYH9C82sRt7CnXOjnHNJzrmkqlWrnuRbkZOWZ1KsSdNTqFA+jjYty/kYlIiIiIgUOo0bQ79+XhKcnu5rKGXLxtK6RTlmzd3laxxy4iKdBM8DGplZPTMrCVwBjM1zzFjgT4FZojsAu51zvxzpXOfcUudcNefcac650/CS5dbOuV8j9q7kxHz/PZQrB02a4Jxj0vQUzu5ckbg4rdwlIiIiInnceSfs2OF1i/ZZ53YV+H7hHrKycv0ORU5ARLMN51w2cCswAVgBfOScW25mN5nZTYHDvgLWAWuAV4ChRzs3kvFLiH33HbRvD7GxrF6XzsZNGeoKLSIiIiL569bNG0b31FOQ62/y2aVdIhkZuSxautfXOOTExEW6QOfcV3iJbvC+l4L+dsAtBT03n2NOO/koJez27YPkZLj3XgDGT9kBwPk9KvsZlYiIiIgUVmZea/DVV3tLJvXp41sondtVAGDm97to36aCb3HIiVG/U/HH/PneL3gdOgAwfspOmjQsQ71TS/scmIiIiIgUWpddBrVqwbPP+hpGjeqlqH9qaWbN1eRYRZGSYPHHd995zx06kJaWw7TZu9QKLCIiIiJHV6IE3HwzTJwIK1b4GkqX9hWYOXcXXkdWKUqUBIs/vvsOmjSBSpWYNjuVzMxcep+tJFhEREREjuHGG6FUKRg50tcwOrdLZPuOA6xZ7+9s1XL8lARL5DkHc+Yc6gr99Tc7KV06hm6dEv2NS0REREQKv6pV4cor4e23ITXVtzC6tP9tXLAULUqCJfLWrYPt26FjR8AbD3x254rEx8f6HJiIiIiIFAl33AFpafDaa76FcHqjslRMjNO44CJISbBEXtB44DXr0lizPl3jgUVERESk4Fq29JZMeu45yM72JYSYGKNzu0S1BBdBSoIl8ubMgYQEaNaM8d/sBOD8c5QEi4iIiMhxuOMO2LgRxo71LYTO7Sqwak0a23dk+RaDHD8lwRJ5330H7dpBbCzjp+ykUf3SNKhXxu+oRERERKQo6d8fTj3V1+WSDq4XPHueukQXJUqCJbLS0mDJEujQgfT0HKbOSlVXaBERERE5frGxcOut8O23sHixLyG0PbM8JUsas+bu8qV8OTFKgiWy5s+HnBzo2JHp3+0iIyOX83tU8TsqERERESmKrrsOypTxrTU4Pj6WpJbl+XbOLl/KlxOjJFgiK2hSrPFTdhAfH0O3jom+hiQiIiIiRVTFijB4MLz/Pmzb5ksIZ3epyPzFe9m9x58JuuT4KQmWyJozBxo2hCpVDi2NVLq0lkYSERERkRN0++2QlQWjRvlSfI+zKpKT45g+2781i+X4KAmWyHHOawnu2JE169JYvS6d3poVWkREREROxumnQ69e8MILXjIcYR2TKhAfH8OUGSkRL1tOjJJgiZwNG2DrVujYkc+/3g5A/14aDywiIiIiJ+mOO+CXX2DMmIgXHR8fy1ntE5kyQy3BRYWSYImcoPHAn3+9gxZNEzjtlNL+xiQiIiIiRV+vXtC4sW8TZPU4qyLLV+7n162ZvpQvx0dJsETO9OlQvjw7ap/OrLm7uPD8qn5HJCIiIiLRICYGbrsN5s715qCJsB5dKwHwzUy1BhcFSoIlcqZOha5d+fKbVHJzYcD56gotIiIiIiEyeDCUL+9La3Cr5uVIrBCnccFFhJJgiYwtW2D1ajj7bD77ajt1a5eiVfNyfkclIiIiItGiXDlv3eAxY7zvnhEUG2uc3bkiU2ak4pyLaNly/JQES2RMmwZAevuzmDg9hf69qmJm/sYkIiIiItHl1lshJwdefDHiRfc4qyIbN2WwbkN6xMuW46MkWCJj2jRITGTSrrqkp+cyoLe6QouIiIhIiNWvD/37w8svQ0ZGRIs+OC5Ys0QXfkqCJTIC44E/n5RChfJxdOtU0e+IRERERCQa3XEH7NgB778f0WKbNCxDrRqlNC64CFASLOG3aROsXUtut+58MXEHfc6tTMmSuvVEREREJAy6d4dmzbwJsiI4PtfM6HFWRb6ZmUpursYFF2bKRCT8AuOBl1RJYvuOAwzoraWRRERERCRMzLzW4ORkb4nOCDq3ayV27DzA0h/2RbRcOT5KgiX8pk6FihX5YG01SpQwzu9R2e+IRERERCSaXXUVVK4c8eWSenT1hvxpXHDhpiRYwm/aNFy3bnw2YSfndKlI+XJxfkckIiIiItGsdGm44Qb4/HNYvz5ixdauGU+ThmU0LriQUxIs4bVxI6xfz9amnVi9Ll1doUVEREQkMoYOhZgYeO65iBbbs3slps5KJT09J6LlSsEpCZbwCowH/mT/GcTEwMA+SoJFREREJALq1IFLLoHXXoN9kRuj269nFdLTc9UluhBTEizhNXUqrnJl/vt9Bbp1qkiN6qX8jkhEREREiovbb4fdu+HttyNWZLdOFUkoG8sXE7ZHrEw5PkqCJbymTWP3mZ1ZuTaDKy6s7nc0IiIiIlKcdOwISUkwciTk5kakyJIlY+h1diW+nLQTF8ElmqTglARL+KxfDxs3Mj3+TOLijIv6qiu0iIiIiETQweWSVq2CiRMjVmy/nlX5+ddMFibvjViZUnBKgiV8pkwB4IX1DTm3ayWqVC7pc0AiIiIiUuxcdhnUqBHR5ZL6nFsZM/hiwo6IlSkFpyRYwuerr8isXpuJ22qqK7SIiIiI+KNkSbj5Zvj6a1i5MiJFVq1Sko5JFfhiopLgwkhJsIRHZiZMmsSC2l0oWSqGCzUrtIiIiIj45cYbvWT4v/+NWJH9elVhYfJetvySEbEypWCUBEt4zJgB+/Yxamcrzj+nMhXKx/kdkYiIiIgUV9Wrw6BB8NZbsGtXRIrs17MKAF+qNbjQURIs4TFuHLklS/Hx/jO4YqC6QouIiIiIz26/Hfbvh9dfj0hxTZuUpd4p8eoSXQgpCZbwGDeOFbXb4cqU5YLzqvgdjYiIiIgUd61bQ5cuXpfonJywF2dm9OtVhSkzUklLC395UnBKgiX0Vq+G1at5J601/XpWISFBXaFFREREpBC44w7YsAE++ywixfXrWZWMjFymzEiJSHlSMEqCJfTGjQPgwwNJXD5AXaFFREREpJAYOBAaNIBHHwXnwl5c146JlC8Xqy7RhYySYAm9cePYnFifPVXq0lddoUVERESksIiNhbvvhnnzYNq0sBdXsmQMvc6uzNivd5CTE/6kWwpGSbCE1t69uOnT+Sg7iasvqUGpUrrFRERERKQQGTLEmy36kUciUtxlA6qxdXsW02alRqQ8OTZlKBJakydjBw4wNrYd1w6q5Xc0IiIiIiKHi4/3xgZPnAiLFoW9uL7nVqFcQiwffLo17GVJwSgJlpByX37JntgE0tt0pGWzcn6HIyIiIiLyezffDOXKwWOPhb2o0qVjGdinKmO+2EZmZm7Yy5NjUxIsoeMcB774iq/jWjPk6lP8jkZEREREJH+JiXDTTfDRR7BuXdiLu/KiGuzek834KTvDXpYcW8STYDPrbWarzGyNmQ3L53Uzs5GB15PNrPWxzjWzx81sZeD4T80sMUJvR4ItWkTJ7b8ysWxHBl2kWaFFREREpBD7y18gLg6eeCLsRfXoWpGqVUrwwae/hr0sObaIJsFmFgs8D5wPNAUGmVnTPIedDzQKPG4AXizAuZOAZs65FsCPwPAwvxXJx4HRH5NNDCX69SWxQgm/wxERERERObJateBPf4I33oCt4R2vGxcXw2X9qzN2wg727ssOa1lybJFuCW4HrHHOrXPOZQGjgQF5jhkAvO08c4BEM6t5tHOdcxOdcwfvpjlAnUi8GQniHBlvf8CUEq247Poz/I5GREREROTY/vY3yMqKSGvwoIHVycjI5bOvtoe9LDm6SCfBtYFNQdubA/sKckxBzgW4FhifX+FmdoOZzTez+du36+YLqblzKbd1I1Nq96Jbp4p+RyMiIiIicmyNG8OVV8Lzz8O2bWEtqmPbCpxaN16zRBcCkU6CLZ99eVeNPtIxxzzXzO4FsoH38ivcOTfKOZfknEuqWrVqAcKVgto96l0yKUHV6y8jJia/qhIRERERKYTuuw8yM+Hxx8NaTEyMMWhgdSZOS2H7jqywliVHF+kkeDNQN2i7DvBzAY856rlmNhi4ALjKOZc3sZZwysmBjz5ifKl2DLqmid/RiIiIiIgUXJMmXmvwCy+EvTV40MDq5OQ4Ph4b3nLk6CKdBM8DGplZPTMrCVwBjM1zzFjgT4FZojsAu51zvxztXDPrDfwd6O+cS4vUmxFP+oSpVNi3jQ2dBlCnVrzf4YiIiIiIHJ/77oOMjLCPDW7eNIEzTi/L+59olmg/RTQJDkxedSswAVgBfOScW25mN5nZTYHDvgLWAWuAV4ChRzs3cM5zQDlgkpktNrOXIvWeBNY++gb7iKfTv6/2OxQRERERkeN3sDU4zGODzYyrL6nBrLm7Wbl6f9jKkaOz4tpzOCkpyc2fP9/vMIq8nPRM9pSrxtxqHen189d+hyMiIiIicmJWrYKmTeGuu+Cxx8JWzNZtmdRtNYuh19Thmf80Dls5AuQ/r1TEu0NLlJn7+CdUzNlDmWuu8jsUEREREZETF9waHMZ1g6tXK8Ul/arx5uhf2L8/J2zlyJEpCZaTsveVd9gVW46O917qdygiIiIiIifnn//0Zop+8MGwFjN0SB1278nW2GCfKAmWE7Z47lY6bpnGT+37EldGE2KJiIiISBHXuDHccAO8/DKsXh22Yjq3r0CLpgm88MZmiuvwVD8pCZYTNvu+tynn0qn/9yF+hyIiIiIiEhr33w+lSsE//hG2IsyModfUZvGyfcyZvyds5Uj+lATLCfllayYtpr/N9sRTSLjgPL/DEREREREJjerV4Z57YMwYmDMnbMVcdXENyiXE8sIbm8NWhuRPSbCckA9GTKRL1jLs5psgRreRiIiIiESRO++EGjXgb3+DMHVXTkiIY/DlNflo7Fa2bc8KSxmSP2Uvctx+3ZpJhXdHkRVbiip33+h3OCIiIiIioZWQAA88ADNnwtixYSvm5iG1ycpyvP7Bz2ErQ35PSbAct2ceS+aK/ZPJuOhyqFTJ73BERERERELv2mvh9NNh2DDIzg5LEU2bJNC9cyIvvbWF7OzcsJQhv6ckWI7Lpi0ZHHjtTcq6DMoPu8PvcEREREREwiMuDh59FFauhOeeC1sxd/z5FDZuymD0p+Fbm1gOpyRYjstDT63jxn1jyWzdDlq39jscEREREZHw6dcP+vTx1g/esiUsRfTvXYUWTRN48KkNag2OECXBUmDrNqSz/s0vaZyzmVJ/vc3vcEREREREwssMRo6EAwfgrrvCUkRMjHH/3fX4cW2aWoMjREmwFNiDT63nlvSx5FSuCpde6nc4IiIiIiLh16CBt2bwhx/C5MlhKeLCPlUPtQbn5IRnNmr5jZJgKZBVa/Yz7YPF9M34jtgb/+wtIC4iIiIiUhzccw80bAi33AKZmSG/fEyM8a+71BocKUqCpUDu+fca7ssYjcXFwk03+R2OiIiIiEjkxMfD88/Djz/CE0+EpYiBfavS/A8JPPjUerUGh5mSYDmmsV9vJ3ncUoakjcf+/GeoW9fvkEREREREIqtnT29I4H/+A6tXh/zyB8cGr1qTxoefqTU4nMy54vkrQ1JSkps/f77fYRR6aWk5ND1rDk9veZgLd0/B1q6FWrX8DktEREREJPJ+/hmaNYPGjWHmTG8ZpRDKzXWcefZcsg7ksnxGB2JjLaTXL4by/QDVEixH9X/PbKDU+tVcuH08dvPNSoBFREREpPiqVQteeAG+/x4eeSTkl4+JMR64x2sNfunNzSG/vnjUEixHtHL1flp0/57pZZ+k45ZpsH49VKvmd1giIiIiIv4aNAjGjIE5c6BNm5Be2jlHz0sXM2/xHlbO6kCN6pqQ9iSoJVgKzjnHLcNWkRS7kQ5rxsPttysBFhEREREBb5KsatXgj3+E9PSQXtrMeP7RJqRn5PC3B9aE9NriURIs+frgk618MyOVd6p+jCUkwN13+x2SiIiIiEjhUKkSvPEGrFjhrSEcYo0blOGeW0/l3TG/Mm1WasivX9wpCZbf2bgpnVuGreKa+j/RYOF4uPNOqFzZ77BERERERAqPnj29dYOfeQa++CLkl//HHadR75R4bhm2iqys3JBfvzhTEiyHyc7O5cqblmPZB3hx11Pe4P877/Q7LBERERGRwufxx6F1a7j6ali1KqSXLl06lpEPNeGHVft55uVNIb12cackWA4z4vH1zJ63m6kdJ1Nq1TJ48UUoX97vsERERERECp/SpeHTT6FkSbjwQtizJ6SXv6BnFQb0rsIDT65j7fq0kF67OFMSLId8MyOFh57ZwPBe6bT839Nw2WXQv7/fYYmIiIiIFF6nnAIffwyrV8PgwZAb2q7LIx9qQskSMVx+wzIyM9UtOhSUBAsA23dkcfXQ5TSpH8+D6x6FsmVh5Ei/wxIRERERKfy6d4cnn4TPPoP/+7+QXvqUOvG89d+mLFiyl7vuXx3SaxdXSoKFrKxcBt24jJRd2Uw6bx6xs2d6/4irV/c7NBERERGRouH2272xwf/6F7z7bkgv3b93Ve66+RSef30zH362NaTXLo6UBBdzubmOa+9YwZQZqbz39wTqPHs/9OgBQ4b4HZqIiIiISNFhBq+8Auec432X/uyzkF7+4fsa0DGpAn++cwWr12l88MlQElzMDXtwDe/971cev7smF792g/ePd9Qo71lERERERAouPh4+/xySkuDyy2Hy5JBdukSJGD58pRklShiXXreU9PSckF27uFESXIw9O+onHn/+J265pjZ3zR8BS5bABx9A/fp+hyYiIiIiUjQlJMBXX0GTJjBgAMyeHbJL160dzzvPn0HyD/u45LqlWj/4BCkJLqY+/Gwrf/3nai7qW5WRZT/GPv4YHnsMzj/f79BERERERIq2SpVg4kSoVQv69IFvvw3ZpfucW4WXHj+drybv5Oqhy8nOViJ8vJQEF0Oj3t7ClTcto0v7RN4/fy0x9//LG8R/111+hyYiIiIiEh1q1IApU6BmTTjvPG8ZpRC54U+1eWJEQz4eu40/37mS3FwXsmsXB0qCixHnHP9+Yh033r2S3udUZsKdmZS67k/Qtq3GAYuIiIiIhNopp8CsWd737csug6efDtml7xp6KvffXY83R//CHff+iHNKhAsqzu8AJDJychy3DlvFS29tYfDlNXm138/EXXCh9wvVp59C6dJ+hygiIiIiEn0qVYJJk7yel3feCRs3whNPQNzJp2L3/60ee/fl8NRLP5GekcsLjzahZEm1cx6LPqFiICX1AAOHJPPSW1sYdvupvHHeGuL6XwD16sGMGVC7tt8hioiIiIhEr9Kl4aOPvLWEn30WunXzkuGTZGY88UBD7rvzNF5772d6XLyQbduzQhBwdFMSHOWmzkyhRffv+fqbnTz3cGMebjgfu/hiaNECpk3zxiiIiIiIiEh4xcZ6CfB778HSpdCyZUjGCZsZDw5rwOhRzZi/ZC/tes8jefneEAQcvZQER6msrFyGPbiGHhcvIqFsLHPGtuSWdS/BlVdC587emmWVK/sdpoiIiIhI8XLllbB4MZx+ujdO+LrrICXlpC97+YXVmflFG7KzHZ36LuCND37WOOEjUBIchb79LpUO58/n0f9u5Pqra7HwpUq0HtoHHnoIrrkGxo+H8uX9DlNEREREpHiqX98bljh8OLz5JjRuDC+9BDk5J3XZNi3LM29iW9q0LMe1d6zg3EsWsWZdWmhijiJKgqPI6nVpXDQkmW4DFrJ9Zxb/e60Zo1rMpUznJPjxR6+7xWuvaRIsERERERG/lSjhNVItWgTNmsHNN0NS0kmvKVyzeimmftqalx5vwvzFe2je/XseGbmBAwe0nvBBSoKjwIaf0rnj3lWccdYcJk5L4cFh9Vn92AEuenggDBkCrVtDcjJcconfoYqIiIiISLAWLWDqVPjwQ9i505s0q2tXGDcOTrA7c0yMcePgOqyY1ZE+PSoz/D9radLxO0a9vYXMTCXDSoKLKOcc02alMnBwMg3azeb5172ljza8kcB9U24lvtc53oxzo0bBN99A3bp+hywiIiIiIvkx88YHr1wJzzwDGzbABRd4CfIbb8C+fSd02Vo1SvG/N1ow7v2WVK1SkhvvXkmDdrMZ+com9u8/ua7XRZkV18HSSUlJbv78+X6Hcdx+XJvGmC+2MfrTrSxdsY/KlUow9IrK3FFlLpXHvAXTp0NiIgwbBrfdBmXK+B2yiIiIiIgcjwMHYPRoeOwxWLbM+04/cKC31vC5557QGsPOOaZ8m8qDT63n2+92kVA2lov6VuWPl9bk7C4ViY21MLwR3+X7ppQEF3KZmbnMXbSbKd+m8sm47Sxd4f0K1KFNeW7tG8vlP7xB3Oj3IDXVG2B//fVw001QsaLPkYuIiIiIyElxDmbPhnfe8dYZTk2FKlXgvPOgVy/o2fOEljydPXcXb4z+hY/HbmP3nmxq1SjFRX2rcl63SnTvXJHy5Y4/yS6kCkcSbGa9gWeBWOBV59wjeV63wOt9gDRgiHNu4dHONbNKwIfAacAG4DLnXOrR4ijMSfCmLRm8/v7PTP9uF9/N301GRi5m0LldBS7pV42LL6hGnVrxsHUrNGwI/fp5yW/37hCjHu4iIiIiIlEnMxO++go+/RQmTvRyAYCmTaF9e2jXDtq2hebNoWTJAl0yIyOHLybu4J2Pf2Xytymkp+cSF2e0b12ebp0q0qZFOVq3KMepdePx0rQix/8k2MxigR+B84DNwDxgkHPuh6Bj+gC34SXB7YFnnXPtj3aumT0GpDjnHjGzYUBF59zfjxZLYU6CFy/dS+tz53Jms3J065RIt44VOatDIpUrlfj9wfv3Q9mykQ9SRERERET8kZvrTXw7YYI3HHLePNixw3stLg4aNIAmTby1iBs29OYHOvg4wlKpmZm5zJ63i0nTU5g0PYVFS/eRk+PlihUT42j+hwQa1S9Dw3qlvcdpZWjZLKGwJ8eFIgnuCIxwzvUKbA8HcM49HHTMy8A059wHge1VQHe8Vt58zz14jHPuFzOrGTi/ydFiKcxJcG6uY8/ebBIr5JP0ioiIiIiIBHPOm0xr3jxYvBhWrfIeq1dDVtbhx5YtC5UqecMnK1X6/d+nnAJXXklGRg5LV+xnYfIeFiTv5YdV+1mzPp2t273rVaoYx85V3SL+Vo9TvklwpDt71wY2BW1vxmvtPdYxtY9xbnXn3C8AgUS4WiiDjrSYGFMCLCIiIiIiBWMG9ep5j8su+21/djZs2QKbNv32+PVXb2xxSor3vGqV93dKitflunlzuPJK4uNjaduqPG1bHd5yvHdfNmvXp7Mj5UCE32ToRDoJzi8Tz9sUfaRjCnLu0Qs3uwG4IbC5L9CCHClVgB0RLE8iS/Ub/VTH0U31G/1Ux9FN9RvdVL+RtHSpl1RHVrjq+GvnXO+8OyOdBG8GghesrQP8XMBjSh7l3K1mVjOoO/S2/Ap3zo0CRp14+CfOzOY755L8KFvCT/Ub/VTH0U31G/1Ux9FN9RvdVL/RL9J1HOmphOcBjcysnpmVBK4AxuY5ZizwJ/N0AHYHujof7dyxwODA34OBz8P9RkRERERERKToiWhLsHMu28xuBSbgLXP0unNuuZndFHj9JeArvJmh1+AtkXTN0c4NXPoR4CMzuw74Cbg0gm9LREREREREioiIr4LsnPsKL9EN3vdS0N8OuKWg5wb27wR6hDbSkPOlG7ZEjOo3+qmOo5vqN/qpjqOb6je6qX6jX0TrOKJLJImIiIiIiIj4KdJjgkVERERERER8oyQ4jMzscTNbaWbJZvapmSUGvTbczNaY2Soz6+VjmHKSzKx3oB7XmNkwv+ORk2Nmdc1sqpmtMLPlZnZHYH8lM5tkZqsDzxX9jlVOnJnFmtkiM/sysK36jSJmlmhmYwL/D15hZh1Vx9HDzP4a+O/zMjP7wMziVb9Fm5m9bmbbzGxZ0L4j1qm+RxctR6hfX/MkJcHhNQlo5pxrAfwIDAcws6Z4s1ufAfQGXjCzWN+ilBMWqLfngfOBpsCgQP1K0ZUN3OWc+wPQAbglUKfDgCnOuUbAlMC2FF13ACuCtlW/0eVZvLUhTwda4tW16jgKmFlt4HYgyTnXDG+y1CtQ/RZ1b+J9Jw6Wb53qe3SR9Ca/r19f8yQlwWHknJvonMsObM7BW9sYYAAw2jmX6ZxbjzcTdjs/YpST1g5Y45xb55zLAkbj1a8UUc65X5xzCwN/78X78lwbr17fChz2FnChLwHKSTOzOkBf4NWg3arfKGFm5YGuwGsAzrks59wuVMfRJA4obWZxQBngZ1S/RZpz7lsgJc/uI9WpvkcXMfnVr995kpLgyLkWGB/4uzawKei1zYF9UvSoLqOYmZ0GtAK+B6oH1iwn8FzNx9Dk5DwD3APkBu1T/UaP+sB24I1Al/dXzawsquOo4JzbAjyBtyTmL8Bu59xEVL/R6Eh1qu9e0SfieZKS4JNkZpMDY1LyPgYEHXMvXhfL9w7uyudSmqa7aFJdRikzSwD+B/zFObfH73gkNMzsAmCbc26B37FI2MQBrYEXnXOtgP2oa2zUCIwLHQDUA2oBZc3san+jkgjTd68o4leeFPF1gqONc+7co71uZoOBC4Ae7rf1qDYDdYMOq4PXlUeKHtVlFDKzEngJ8HvOuU8Cu7eaWU3n3C9mVhPY5l+EchI6A/3NrA8QD5Q3s3dR/UaTzcBm59z3ge0xeEmw6jg6nAusd85tBzCzT4BOqH6j0ZHqVN+9ooSfeZJagsPIzHoDfwf6O+fSgl4aC1xhZqXMrB7QCJjrR4xy0uYBjcysnpmVxBvIP9bnmOQkmJnhjSVc4Zx7KuilscDgwN+Dgc8jHZucPOfccOdcHefcaXj/Xr9xzl2N6jdqOOd+BTaZWZPArh7AD6iOo8VPQAczKxP473UPvLkbVL/R50h1qu/RUcDvPMl+S7ol1MxsDVAK2BnYNcc5d1PgtXvx+r9n43W3HJ//VaSwC7QoPYM3Q+Xrzrn/8zciORlm1gWYASzltzGj/8AbF/wRcArel7BLnXN5J/GQIsTMugN3O+cuMLPKqH6jhpmdiTfxWUlgHXAN3g//quMoYGYPAJfjfYdaBFwPJKD6LbLM7AOgO1AF2ArcD3zGEepU36OLliPU73B8zJOUBIuIiIiIiEixoe7QIiIiIiIiUmwoCRYREREREZFiQ0mwiIiIiIiIFBtKgkVERERERKTYUBIsIiIiIiIixYaSYBGRIszMhpiZO8Lj3DCWd1rQvg1m9maoyzpKDN2P8p6DH28GxfdupOKLBoHPeISZhf17QqB+jlmf4Y6jsDGzxEAdtPY7FhGRaBPndwAiIhISlwKb8+z7IUJlDwT2RKgsgIVAx6DtmsAnwMPA2KD92yMYU7TpjreO43/4bb3scBmIt1bkQS/grbt+Y5jLLewS8epgM949LyIiIaIkWEQkOix2zq3xo2Dn3KIIl7cHmHNwO6hVep1zbk6+J4WZmZVyzmX6UXZRcaTPKO/9Y2Z7gDi/6jKcCsN9UhhiEBHxm7pDi4hEOTMrY2aPmtl6M8sKPN+bt6urmVUxsxfNbIuZZZrZSjO7oQDXP6w7dFCX6Q5m9p6Z7TGzn81spJnF5zm3vpl9ZWZpZrbNzJ40sxvydrkOBTO7wsxWmNl+M5tvZl3yOaabmU0xs72B4yaYWbM8x0wzs5lm1s/MFplZJjA0qJv2hWb2spmlmFmqmT1tZrFm1jZw3n4zW25mvfIp/2ozW2JmGWa2w8zeMbOaeY7ZYGbvmtkfzWyVmaWb2Qwza2RmZQNl7zSzrYHPMy7P+UetZzMbgdcCCXAgb3fkgtxPQZ/FRWb2ipltB7YeV4UdR8yBYw7ed53M7KNAHW41s+GB13sH6mu/mc0zszZ5zj9YrwPMbFlQOZflE09LMxsbqN90M5tlZmflOeZNM9tsZh3NbLaZpQOPBV67wsy+MbPtZrYvENfgoHNPA9YHNl+x37qFDwm8nu8QhMAxI4K2RwT2NQvcy/uAjwKvFei/CyIi0UgtwSIi0SE2T7LjnHM5gX0TgKbAg8BSoAPwT6AScBeAmZUHZgGlgRF4X8B7AS+a13L03xOI6R3gA+AivO7LI4BUAgmWmZUEJgHxwFBgG3A9cMkJlHUsZwFN8N53Bt5n8aWZneac2xWIpy/wOTAOuDpw3t+BGWbWwjm3Keh6jYGRgeusA1LwPk+AZ/C6Z18OdAXuw/v/7bnA48CWwL5PzOxU59yOQPk3AC8DHwLDgVrAQ0B7M2vtnNsXVH5XoEEgvpKBMv8XiGUNcEVQ2WvxuhgXtJ5fBeoA1wFdgJyDhRb0fgryX2A88Ee8ej5uJ3BvvgW8DYzCGybwkJklAn2A/wP24SWjn5lZA+dcVtC5DfHqdQTe/XgzMNrMtjvnpgbiaQ3MABYBfwbSgJuAyWbWyTm3IOh6FYDRwBPAP4D0wP76wBjgEbzu5l2BV82stHPuJeAXvH83ebv5rz2ezy7I58BrwKNA7gnUo4hIdHHO6aGHHnroUUQfwBDA5fOYGXj9j4HtrnnOuxfIAqoFtg8mh43yHPcKsAOve2pweacFHbMBeDOfmB7Ic60vgR+Dtm8IHNcuaJ8BS/KWcYzP4LTA8dcf4fUNeMl3xaB9SYFzrgzatwaYkufc8oH3/0zQvml4icuZeY7tHrjm63n2Lwzs7xK0r0Vg3+DAdixeS+nUPOd2CRx3e573kwJUCNp3e+C4V/Mpe2rQdkHreUTgenF5jivo/XTws/j0BO7paQTu3xO8N/8VdEwcXjJ7AKgXtL9/4Nhuecp1QIegfbHASmBG0L4pwAqgZJ7jVgCfBe17M3C9Acd4vzGBOF8BlhTkvibPv7mg/Q4YEbR9sB7vOJF61EMPPfSI1oe6vIiIRIeBQNugx3WB/b2BjcBsM4s7+AAmAiXwWn8OHvc9sD7PcROAyngtRsdrXJ7tpcApQdsdgJ+cc3MP7nDOObwWzVD7zjmXmicWDsZjZo3wWlbfy/P+04Dv8Frqgm1wzi0+Qlnj82yvBPY752bm2QdQN/DcBKgGvBd8YuCcjUC3fN7P7nyuNyGfsusGbZ9sPRf0fjro02NcryCON+ZDn79zLhvvx40fnXPrg47J+/kftMkFjUV2zuUAHwPtzCzGzErj1cXHBFpUA7EYMJnf3yfZeD/+HMa8rusfmNkWvAT9AF4viCbH+CxOVN56ON56FBGJKuoOLSISHZa5/CfGqgacivclOz+Vg45rWIDjjkdKnu1MDp8FuCZeK11eJzx2tKCxOOcyzQx+66JbLfD8WuCR1095tn85SlmpebazgF15ys/KU/7BrtT5XffXoNePVsaR9gd3Qz7Zei7o/XTQ0T6ngjremPP7DI70eeXtop3fvbcVr8t5VbzvTbF4rdP/zC8YM4txzh2cUXtbIJEOfj0BbxhAGjAMr4tzFl7X62vzu2YI5K2H461HEZGooiRYRCS67cQbQ/m7yX0CNgQdtw244wjHrQptWID3xTy/lsfqYSjrWHYGnofjtejllZVnO9Tr1h5M0mvk81oNYH6IyjnZei7o/XRQKD6nSN6b+d171fHqfzveuORc4Hm8cce/E5QAQ/7vvyNeAnpWcO+APGP6jyUDLzE/xMzy/lByWFh5to+3HkVEooqSYBGR6PY1cDGwzzm38hjH3YbXPTm/1tlwmANcY2btDnaJNq959OIIlR9sFd4X/zOcc4/4VP5WvAmtDrVEm1knvITpyRCVU9B6PriETmlgb57zC3I/hVIk7826ZtbhYJdoM4vFm1xrbiC53W9mM4CWwMI8CW9BlQk8H2qFNbOKwIA8xwXXQV4bgWZ59l1wHDH4UY8iIoWGkmARkej2HnANMMXMnsSbdKok3vjX/sCFzrk04Gm82YxnmNnTeElZWeB0vBarvF/QQ+FNvNmNPzGze/Fa2q4HKgZeP5EE44Q455yZ3QJ8Hpi1+iO8SZeqA53wErCnwlh+jpn9C3jZzN4F3gVq481mvBp4I0RFFbSefwg832Vm44Ec59x8Cn4/hVIk782twIdmdj/e/Xgz3kzgNwcdcyfwLTDBzF7D69FQBWgNxDrnhh2jjNnAHuD5QDll8Wbx3oE3m3RwLDuBK8wsGdgPrHfO7cSbcfr1wOfxJV5SPuQ43qcf9SgiUmgoCRYRiWLOuQPmrUc7DG825np4X6bX4k1clRU4bneg1fFfeIlpbbxxrKsIz0RVB8fF9sRbRuclvKVr3sebBOkRYPdRTg9HPF+ZWVe8GXJfxWuB+xWvxfrDCJQ/yszSgL/hLWmzD/gKuMcdvjzSyZRR0Hr+Em9ZpaGBYw2wgt5PoRThe3MN3vJJDwGN8HoHDHKB5ZEC8Sw0s7Z4S32NxEtct+PNxP3SsQpwzm03s4F4rftjgJ+BZ/HGfd8fdFyumV0fiGUy3ne2a/B+PHoLb1Kv64Ab8ZZsGhiI/5j8qEcRkcLEvIk4RURECgcz+xL4g3Ougd+xSPFhZtPwllvq4ncsIiISXmoJFhER35jZnXgtnquBcnjjL/tyePdTERERkZBREiwiIn7KBP6Kt15vLF4X1+udc/ktUyQiIiJy0tQdWkRERERERIqNGL8DEBEREREREYkUJcEiIiIiIiJSbCgJFhERERERkWJDSbCIiIiIiIgUG0qCRUREREREpNhQEiwiIiIiIiLFxv8Dohz7QEDkckoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 8))\n",
    "sns.kdeplot(\n",
    "    data = df_2012,\n",
    "    x = \"ft_dem\",\n",
    "    ax = ax,\n",
    "    color = demblue,\n",
    "    label = 'Obama'\n",
    ")\n",
    "sns.kdeplot(\n",
    "    data = df_2012,\n",
    "    x = \"ft_rep\",\n",
    "    ax = ax,\n",
    "    color = repred,\n",
    "    label = 'Romney'\n",
    ")\n",
    "\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.set_xlabel(\"Feeling Thermometer Temperature\", fontsize=16)\n",
    "ax.set_ylabel(\"Density of Respondents\", fontsize=16)\n",
    "ax.set_title(\"2012\", fontsize=22)\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2016 Election\n",
    "\n",
    "\n",
    "### Data Collection\n",
    "_Field dates_. The study interviewed respondents in a pre‐election survey between September 7 and\n",
    "November 7, 2016. Election day was November 8. The study re‐interviewed as many as possible of the\n",
    "same respondents in a post‐election survey between November 9 and January 8, 2017."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_dem</th>\n",
       "      <th>ft_rep</th>\n",
       "      <th>affect_dem</th>\n",
       "      <th>affect_rep</th>\n",
       "      <th>year</th>\n",
       "      <th>caseid</th>\n",
       "      <th>weight</th>\n",
       "      <th>interview_mode</th>\n",
       "      <th>age</th>\n",
       "      <th>party_id_3</th>\n",
       "      <th>lib_con_scale</th>\n",
       "      <th>party_id_7</th>\n",
       "      <th>party_id_init</th>\n",
       "      <th>party_id_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>55674</th>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>0.827</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55675</th>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>1.080</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55676</th>\n",
       "      <td>50</td>\n",
       "      <td>60</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>3</td>\n",
       "      <td>0.387</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55677</th>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55678</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59939</th>\n",
       "      <td>86</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>5086</td>\n",
       "      <td>0.837</td>\n",
       "      <td>4</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59940</th>\n",
       "      <td>50</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>5087</td>\n",
       "      <td>1.310</td>\n",
       "      <td>4</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59941</th>\n",
       "      <td>0</td>\n",
       "      <td>86</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>5088</td>\n",
       "      <td>3.881</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59942</th>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>5089</td>\n",
       "      <td>1.192</td>\n",
       "      <td>4</td>\n",
       "      <td>39</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59943</th>\n",
       "      <td>60</td>\n",
       "      <td>40</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2016</td>\n",
       "      <td>5090</td>\n",
       "      <td>1.460</td>\n",
       "      <td>4</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4270 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ft_dem ft_rep affect_dem affect_rep  year  caseid  weight  \\\n",
       "55674      0     85                        2016       1   0.827   \n",
       "55675      0     85                        2016       2   1.080   \n",
       "55676     50     60                        2016       3   0.387   \n",
       "55677      0     60                        2016       4   0.359   \n",
       "55678     15      0                        2016       5   0.647   \n",
       "...      ...    ...        ...        ...   ...     ...     ...   \n",
       "59939     86      3                        2016    5086   0.837   \n",
       "59940     50     97                        2016    5087   1.310   \n",
       "59941      0     86                        2016    5088   3.881   \n",
       "59942     85      0                        2016    5089   1.192   \n",
       "59943     60     40                        2016    5090   1.460   \n",
       "\n",
       "       interview_mode age party_id_3 lib_con_scale party_id_7 party_id_init  \\\n",
       "55674               0  29          1             6          7             1   \n",
       "55675               0  26          1             5          6             1   \n",
       "55676               0  23          1             9          3             2   \n",
       "55677               0  58          1             6          5             3   \n",
       "55678               0  38          2             4          3             2   \n",
       "...               ...  ..        ...           ...        ...           ...   \n",
       "59939               4  37          2             3          1             5   \n",
       "59940               4  82          1             4          1             5   \n",
       "59941               4  27          1             4          2             5   \n",
       "59942               4  39          2             4          1             5   \n",
       "59943               4  52          1             0          6             1   \n",
       "\n",
       "      party_id_3  \n",
       "55674          3  \n",
       "55675          3  \n",
       "55676          1  \n",
       "55677          3  \n",
       "55678          1  \n",
       "...          ...  \n",
       "59939          1  \n",
       "59940          1  \n",
       "59941          1  \n",
       "59942          1  \n",
       "59943          3  \n",
       "\n",
       "[4270 rows x 14 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2016 = df_clean[df_clean[\"year\"] == 2016]\n",
    "df_2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_dem', ylabel='Count'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_2016,\n",
    "    x = \"ft_dem\",\n",
    "    ax=ax,\n",
    "    palette=[demblue],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_rep', ylabel='Count'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_2016,\n",
    "    x = \"ft_rep\",\n",
    "    ax=ax,\n",
    "    palette=[repred],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f880892b460>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 8))\n",
    "sns.kdeplot(\n",
    "    data = df_2016,\n",
    "    x = \"ft_dem\",\n",
    "    ax = ax,\n",
    "    color = demblue,\n",
    "    label = 'Clinton'\n",
    ")\n",
    "sns.kdeplot(\n",
    "    data = df_2016,\n",
    "    x = \"ft_rep\",\n",
    "    ax = ax,\n",
    "    color = repred,\n",
    "    label = 'Trump'\n",
    ")\n",
    "\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.set_xlabel(\"Feeling Thermometer Temperature\", fontsize=16)\n",
    "ax.set_ylabel(\"Density of Respondents\", fontsize=16)\n",
    "ax.set_title(\"2016\", fontsize=22)\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2020 Election\n",
    "\n",
    "\n",
    "### Data Collection\n",
    "_Field Dates_. The study interviewed respondents in a pre-election survey that was conducted between August 18, 2020 and November 3, 2020. Election day was November 3, 2020. The study re-interviewed as many as possible of the same respondents in a post-election survey that was conducted between November 8, 2020 and January 4, 2021."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_dem</th>\n",
       "      <th>ft_rep</th>\n",
       "      <th>affect_dem</th>\n",
       "      <th>affect_rep</th>\n",
       "      <th>year</th>\n",
       "      <th>caseid</th>\n",
       "      <th>weight</th>\n",
       "      <th>interview_mode</th>\n",
       "      <th>age</th>\n",
       "      <th>party_id_3</th>\n",
       "      <th>lib_con_scale</th>\n",
       "      <th>party_id_7</th>\n",
       "      <th>party_id_init</th>\n",
       "      <th>party_id_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>59944</th>\n",
       "      <td>0</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>200015</td>\n",
       "      <td>0.962809</td>\n",
       "      <td>4</td>\n",
       "      <td>46</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59945</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>200022</td>\n",
       "      <td>1.069085</td>\n",
       "      <td>4</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59946</th>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>200039</td>\n",
       "      <td>0.683421</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59947</th>\n",
       "      <td>70</td>\n",
       "      <td>15</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>200046</td>\n",
       "      <td>0.500953</td>\n",
       "      <td>4</td>\n",
       "      <td>41</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59948</th>\n",
       "      <td>15</td>\n",
       "      <td>85</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>200053</td>\n",
       "      <td>1.262294</td>\n",
       "      <td>4</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68219</th>\n",
       "      <td>0</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535315</td>\n",
       "      <td>1.052041</td>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68220</th>\n",
       "      <td>50</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535360</td>\n",
       "      <td>1.124100</td>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68221</th>\n",
       "      <td>70</td>\n",
       "      <td>30</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535414</td>\n",
       "      <td>1.514417</td>\n",
       "      <td>3</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68222</th>\n",
       "      <td>0</td>\n",
       "      <td>97</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535421</td>\n",
       "      <td>0.292352</td>\n",
       "      <td>4</td>\n",
       "      <td>65</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68223</th>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>2020</td>\n",
       "      <td>535469</td>\n",
       "      <td>0.248581</td>\n",
       "      <td>5</td>\n",
       "      <td>38</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8280 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ft_dem ft_rep affect_dem affect_rep  year  caseid    weight  \\\n",
       "59944      0     97                        2020  200015  0.962809   \n",
       "59945      0      0                        2020  200022  1.069085   \n",
       "59946     65      0                        2020  200039  0.683421   \n",
       "59947     70     15                        2020  200046  0.500953   \n",
       "59948     15     85                        2020  200053  1.262294   \n",
       "...      ...    ...        ...        ...   ...     ...       ...   \n",
       "68219      0     97                        2020  535315  1.052041   \n",
       "68220     50     70                        2020  535360  1.124100   \n",
       "68221     70     30                        2020  535414  1.514417   \n",
       "68222      0     97                        2020  535421  0.292352   \n",
       "68223     60      0                        2020  535469  0.248581   \n",
       "\n",
       "       interview_mode age party_id_3 lib_con_scale party_id_7 party_id_init  \\\n",
       "59944               4  46          1             6          7                 \n",
       "59945               4  37          2             4          4                 \n",
       "59946               4  40          2             2          3                 \n",
       "59947               4  41          1             3          6                 \n",
       "59948               4  72          1             5          4                 \n",
       "...               ...  ..        ...           ...        ...           ...   \n",
       "68219               5  26          2             9          7                 \n",
       "68220               5  52          2             6          6                 \n",
       "68221               3  45          1             4          1                 \n",
       "68222               4  65          2             6          7                 \n",
       "68223               5  38          2             2          1                 \n",
       "\n",
       "      party_id_3  \n",
       "59944          3  \n",
       "59945          2  \n",
       "59946          1  \n",
       "59947          3  \n",
       "59948          2  \n",
       "...          ...  \n",
       "68219          3  \n",
       "68220          3  \n",
       "68221          1  \n",
       "68222          3  \n",
       "68223          1  \n",
       "\n",
       "[8280 rows x 14 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2020 = df_clean[df_clean[\"year\"] == 2020]\n",
    "df_2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_dem', ylabel='Count'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_2020,\n",
    "    x = \"ft_dem\",\n",
    "    ax=ax,\n",
    "    palette=[demblue],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_rep', ylabel='Count'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_2020,\n",
    "    x = \"ft_rep\",\n",
    "    ax=ax,\n",
    "    palette=[repred],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f88088ca980>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 8))\n",
    "sns.kdeplot(\n",
    "    data = df_2020,\n",
    "    x = \"ft_dem\",\n",
    "    ax = ax,\n",
    "    color = demblue,\n",
    "    label = 'Biden'\n",
    ")\n",
    "sns.kdeplot(\n",
    "    data = df_2020,\n",
    "    x = \"ft_rep\",\n",
    "    ax = ax,\n",
    "    color = repred,\n",
    "    label = 'Trump'\n",
    ")\n",
    "\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.set_xlabel(\"Feeling Thermometer Temperature\", fontsize=16)\n",
    "ax.set_ylabel(\"Density of Respondents\", fontsize=16)\n",
    "ax.set_title(\"2020\", fontsize=22)\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comey Date Range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "START_DATE = "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sicss",
   "language": "python",
   "name": "sicss"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}