LAJCreport_8_9_2021.ipynb

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    "# Report on Expungement Outcomes in the Virginia Court Data\n",
    "**Code for Charlottesville**\n",
    "\n",
    "*Last updated: 8/9/2021*\n",
    "\n",
    "### Table of contents\n",
    "1. [Introduction](#introduction)\n",
    "2. [Loading the data from our Postgres DB](#loading)\n",
    "3. [How many records qualify as automatic, automatic (pending), petition, petition (pending), or not expungable, in every by year in the data?](#q1)\n",
    "4. [How do these counts break down by race?](#q2)\n",
    "5. [What are the most frequent reasons for each expungability outcome?](#q3)\n",
    "6. [How do these reasons differ by race?](#q4)\n",
    "\n",
    "## Introduction <a name=\"introduction\"></a>\n",
    "Previously, we developed a program to auto-encode every record in the Virginia court data by expungability under the new law: either automatic, petition, automatic or petition pending a mandatory waiting period, or not eligible for expungement. We also automatically coded the reasons for each expungement decision, and phrased the reasons in the language of the new law. We then constructed a loop that applied these auto-encoders to each individuals' records in the Virginia court data. We saved the data in a Postgres database on our Oracle cloud virtual computers.\n",
    "\n",
    "In this document, we load the data and summarize it in ways that provide answers to the following questions:\n",
    "\n",
    "1. How many records qualify as automatic, automatic (pending), petition, petition (pending), or not expungeable, in every by year in the data.\n",
    "\n",
    "2. How do these counts break down by race?\n",
    "\n",
    "3. What are the most frequent reasons for each expungability outcome?\n",
    "\n",
    "4. How do these reasons differ by race?\n",
    "\n",
    "We begin by loading the following Python packages:"
   ]
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   "source": [
    "import sqlalchemy as sa\n",
    "from sqlalchemy import create_engine\n",
    "import psycopg2 as db\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "import seaborn as sns\n",
    "import sidetable\n",
    "pd.set_option('display.max_colwidth', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c62d1b1f-b9f2-48dc-b5a9-a75abd705e8c",
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   "source": [
    "## Loading the data from our Postgres DB <a name=\"loading\"></a>\n",
    "First we create a connection to the database:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6b907271-fda1-4da6-a3c6-675fd88332fb",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<cursor object at 0x7f6194fbb750; closed: 0>\n"
     ]
    }
   ],
   "source": [
    "postPass=os.environ[\"POSTGRES_PASS\"]\n",
    "try:\n",
    "    conn = db.connect(host='localhost', database='expunge', user='jupyter', password=postPass, port='5432')\n",
    "except:\n",
    "    print(\"I am unable to connect to the database\") \n",
    "\n",
    "cur = conn.cursor()\n",
    "try:\n",
    "    tables=cur.execute(\"select * from pg_catalog.pg_tables WHERE schemaname != 'information_schema' AND schemaname != 'pg_catalog';\")\n",
    "    print(cur)\n",
    "    \n",
    "except:\n",
    "    print(\"I can't drop our test database!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a10fff31-9789-4c7a-8035-6ebb7ceebac6",
   "metadata": {},
   "source": [
    "Then we use this connection to query the entire dataset. This is memory intensive -- working wholly within SQL would be more efficient. But I choose to work in the Python environment to be able to use `pandas` and the Python plotting packages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "be1b8f07-1e7a-4f28-9e6b-4837139a5ede",
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    {
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8313136 entries, 0 to 8313135\n",
      "Data columns (total 14 columns):\n",
      " #   Column           Dtype \n",
      "---  ------           ----- \n",
      " 0   rperson_id       object\n",
      " 1   HearingDate      object\n",
      " 2   CodeSection      object\n",
      " 3   ChargeType       object\n",
      " 4   Class            object\n",
      " 5   DispositionCode  object\n",
      " 6   Plea             object\n",
      " 7   Race             object\n",
      " 8   Sex              object\n",
      " 9   fips             object\n",
      " 10  Locality         object\n",
      " 11  expungable       object\n",
      " 12  reason           object\n",
      " 13  old_expungable   object\n",
      "dtypes: object(14)\n",
      "memory usage: 887.9+ MB\n"
     ]
    }
   ],
   "source": [
    "myquery = \"\"\"\n",
    "SELECT * FROM public.expunge\n",
    "\"\"\"\n",
    "courtdata = pd.read_sql(myquery, con=conn)\n",
    "courtdata.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bbec9481-f395-4767-a599-c204b639622a",
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    {
     "data": {
      "text/plain": [
       "2831453"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(courtdata['rperson_id'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e254003-73bc-4a9e-82a5-52b620136de2",
   "metadata": {},
   "outputs": [],
   "source": [
    "Under"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65fd7518-f468-4dd9-a226-450404a01177",
   "metadata": {},
   "source": [
    "The resulting data contain 8,313,136 distinct records from 2,831,453 different people over the time frame from 2000 to 2020. The first few rows of the data look like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8ee0394a-6b7c-447d-91e2-666da37b465c",
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    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rperson_id</th>\n",
       "      <th>HearingDate</th>\n",
       "      <th>CodeSection</th>\n",
       "      <th>ChargeType</th>\n",
       "      <th>Class</th>\n",
       "      <th>DispositionCode</th>\n",
       "      <th>Plea</th>\n",
       "      <th>Race</th>\n",
       "      <th>Sex</th>\n",
       "      <th>fips</th>\n",
       "      <th>Locality</th>\n",
       "      <th>expungable</th>\n",
       "      <th>reason</th>\n",
       "      <th>old_expungable</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100000000000001</td>\n",
       "      <td>2010-08-25</td>\n",
       "      <td>18.2-250.1</td>\n",
       "      <td>Misdemeanor</td>\n",
       "      <td>U</td>\n",
       "      <td>Nolle Prosequi</td>\n",
       "      <td>NA</td>\n",
       "      <td>Black(Non-Hispanic)</td>\n",
       "      <td>Male</td>\n",
       "      <td>87</td>\n",
       "      <td>COMMONWEALTH OF VA</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years</td>\n",
       "      <td>TRUE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>124200000000013</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>A.46.2-852</td>\n",
       "      <td>Misdemeanor</td>\n",
       "      <td>NA</td>\n",
       "      <td>Dismissed</td>\n",
       "      <td>NA</td>\n",
       "      <td>White Caucasian(Non-Hispanic)</td>\n",
       "      <td>Male</td>\n",
       "      <td>153</td>\n",
       "      <td>PRINCE WILLIAM CO</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years</td>\n",
       "      <td>TRUE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>124200000000014</td>\n",
       "      <td>2013-09-19</td>\n",
       "      <td>A.46.2-862</td>\n",
       "      <td>Misdemeanor</td>\n",
       "      <td>NA</td>\n",
       "      <td>Guilty</td>\n",
       "      <td>NA</td>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Male</td>\n",
       "      <td>153</td>\n",
       "      <td>COMMONWEALTH OF VA</td>\n",
       "      <td>Petition</td>\n",
       "      <td>Conviction of misdemeanor charges other than those covered under 19.2-392.6-A, 19.2-392.6-B, and 19.2-392.12, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</td>\n",
       "      <td>FALSE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>124200000000014</td>\n",
       "      <td>2016-09-15</td>\n",
       "      <td>A.46.2-862</td>\n",
       "      <td>Misdemeanor</td>\n",
       "      <td>NA</td>\n",
       "      <td>Guilty In Absentia</td>\n",
       "      <td>NA</td>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Male</td>\n",
       "      <td>25</td>\n",
       "      <td>COUNTY OF BRUNSWICK</td>\n",
       "      <td>Petition (pending)</td>\n",
       "      <td>Conviction of misdemeanor charges with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, but with convictions of another kind within 7 years from disposition date</td>\n",
       "      <td>FALSE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100000000000004</td>\n",
       "      <td>2018-01-10</td>\n",
       "      <td>18.2-111</td>\n",
       "      <td>Felony</td>\n",
       "      <td>O</td>\n",
       "      <td>Nolle Prosequi</td>\n",
       "      <td>NA</td>\n",
       "      <td>White Caucasian(Non-Hispanic)</td>\n",
       "      <td>Male</td>\n",
       "      <td>510</td>\n",
       "      <td>COMMONWEALTH OF VA</td>\n",
       "      <td>Not eligible</td>\n",
       "      <td>Not convicted, felony charge covered in a section other than 19.2-392.12</td>\n",
       "      <td>TRUE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "        rperson_id HearingDate CodeSection   ChargeType Class  \\\n",
       "0  100000000000001  2010-08-25  18.2-250.1  Misdemeanor     U   \n",
       "1  124200000000013  2016-04-11  A.46.2-852  Misdemeanor    NA   \n",
       "2  124200000000014  2013-09-19  A.46.2-862  Misdemeanor    NA   \n",
       "3  124200000000014  2016-09-15  A.46.2-862  Misdemeanor    NA   \n",
       "4  100000000000004  2018-01-10    18.2-111       Felony     O   \n",
       "\n",
       "      DispositionCode Plea                           Race   Sex fips  \\\n",
       "0      Nolle Prosequi   NA            Black(Non-Hispanic)  Male   87   \n",
       "1           Dismissed   NA  White Caucasian(Non-Hispanic)  Male  153   \n",
       "2              Guilty   NA                       Hispanic  Male  153   \n",
       "3  Guilty In Absentia   NA                       Hispanic  Male   25   \n",
       "4      Nolle Prosequi   NA  White Caucasian(Non-Hispanic)  Male  510   \n",
       "\n",
       "              Locality          expungable  \\\n",
       "0   COMMONWEALTH OF VA           Automatic   \n",
       "1    PRINCE WILLIAM CO           Automatic   \n",
       "2   COMMONWEALTH OF VA            Petition   \n",
       "3  COUNTY OF BRUNSWICK  Petition (pending)   \n",
       "4   COMMONWEALTH OF VA        Not eligible   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                             reason  \\\n",
       "0                                                                                                                                                                                                                                                   Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years   \n",
       "1                                                                                                                                                                                                                                                   Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years   \n",
       "2  Conviction of misdemeanor charges other than those covered under 19.2-392.6-A, 19.2-392.6-B, and 19.2-392.12, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date   \n",
       "3                                                                              Conviction of misdemeanor charges with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, but with convictions of another kind within 7 years from disposition date   \n",
       "4                                                                                                                                                                                                                                                                                                          Not convicted, felony charge covered in a section other than 19.2-392.12   \n",
       "\n",
       "  old_expungable  \n",
       "0           TRUE  \n",
       "1           TRUE  \n",
       "2          FALSE  \n",
       "3          FALSE  \n",
       "4           TRUE  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "courtdata.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2a06940-915e-4a88-85b6-4960ad97f158",
   "metadata": {},
   "source": [
    "## How many records qualify as automatic, automatic (pending), petition, petition (pending), or not expungable, in every by year in the data? <a name=\"q1\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fea0a6df-5d1b-4ce9-9901-ebd155904320",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NA    8313136\n",
       "Name: Plea, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "8069e5cf-44a7-45c8-a722-6ea29709f787",
   "metadata": {},
   "source": [
    "First we extract year from the `HearingDate` column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "83e4e473-5d9e-458a-8ef9-7c8a628e52bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "courtdata['year'] = pd.DatetimeIndex(pd.to_datetime(courtdata['HearingDate'], errors='coerce')).year"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7848e17-a8cd-4cdc-b948-dcfae591452f",
   "metadata": {},
   "source": [
    "There were several errors in how hearing date was entered into the data, with some nonsensical, future years:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1a522ef1-cfa0-476c-bfda-3356da676f05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2009.0    746312\n",
       "2010.0    724921\n",
       "2011.0    715787\n",
       "2012.0    698995\n",
       "2013.0    682232\n",
       "2014.0    660182\n",
       "2015.0    623711\n",
       "2017.0    613154\n",
       "2019.0    612489\n",
       "2018.0    608076\n",
       "2016.0    600545\n",
       "2007.0    123085\n",
       "2008.0    122305\n",
       "2006.0    117143\n",
       "2002.0    111056\n",
       "2004.0    111011\n",
       "2003.0    109274\n",
       "2005.0    108574\n",
       "2001.0    107690\n",
       "2000.0    103130\n",
       "2020.0     12077\n",
       "2021.0       691\n",
       "2022.0       245\n",
       "2023.0        92\n",
       "2025.0        57\n",
       "2024.0        57\n",
       "2028.0        56\n",
       "2026.0        35\n",
       "2029.0        28\n",
       "2027.0        22\n",
       "2031.0        14\n",
       "2030.0        13\n",
       "2033.0        11\n",
       "2040.0         6\n",
       "2048.0         6\n",
       "2037.0         4\n",
       "2041.0         4\n",
       "2045.0         4\n",
       "2044.0         4\n",
       "2038.0         3\n",
       "2058.0         3\n",
       "2042.0         3\n",
       "2065.0         3\n",
       "2060.0         3\n",
       "2032.0         2\n",
       "2034.0         2\n",
       "2054.0         2\n",
       "2047.0         2\n",
       "2050.0         2\n",
       "2035.0         2\n",
       "2043.0         2\n",
       "2039.0         1\n",
       "2059.0         1\n",
       "2051.0         1\n",
       "2062.0         1\n",
       "2049.0         1\n",
       "2036.0         1\n",
       "2052.0         1\n",
       "2055.0         1\n",
       "Name: year, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "courtdata.year.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e921177-d87a-4309-b84f-2084ba10761d",
   "metadata": {},
   "source": [
    "We replace these future years with missing values for now, until we can dig into the data to see what went wrong with these codes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c4cc7deb-e3f6-4cd8-83e4-0897ae32bb8c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/tljh/user/lib/python3.7/site-packages/ipykernel_launcher.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",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "courtdata.year[courtdata.year > 2020] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc9ca046-f261-4032-9283-e69ef3f9936b",
   "metadata": {},
   "source": [
    "The following table lists **raw counts** of each expungability outcome by year:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "04cb9661-b93c-43ec-9a3b-2a96564a5247",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>expungable</th>\n",
       "      <th>Automatic</th>\n",
       "      <th>Automatic (pending)</th>\n",
       "      <th>Not eligible</th>\n",
       "      <th>Petition</th>\n",
       "      <th>Petition (pending)</th>\n",
       "    </tr>\n",
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       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000.0</th>\n",
       "      <td>4476</td>\n",
       "      <td>690</td>\n",
       "      <td>74514</td>\n",
       "      <td>16598</td>\n",
       "      <td>6852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001.0</th>\n",
       "      <td>4144</td>\n",
       "      <td>687</td>\n",
       "      <td>79475</td>\n",
       "      <td>16621</td>\n",
       "      <td>6763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002.0</th>\n",
       "      <td>3794</td>\n",
       "      <td>673</td>\n",
       "      <td>83140</td>\n",
       "      <td>16471</td>\n",
       "      <td>6978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003.0</th>\n",
       "      <td>3531</td>\n",
       "      <td>692</td>\n",
       "      <td>83032</td>\n",
       "      <td>15135</td>\n",
       "      <td>6884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004.0</th>\n",
       "      <td>2910</td>\n",
       "      <td>593</td>\n",
       "      <td>88315</td>\n",
       "      <td>12977</td>\n",
       "      <td>6216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005.0</th>\n",
       "      <td>2662</td>\n",
       "      <td>543</td>\n",
       "      <td>87155</td>\n",
       "      <td>12204</td>\n",
       "      <td>6010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006.0</th>\n",
       "      <td>2461</td>\n",
       "      <td>727</td>\n",
       "      <td>94959</td>\n",
       "      <td>12666</td>\n",
       "      <td>6330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007.0</th>\n",
       "      <td>2843</td>\n",
       "      <td>623</td>\n",
       "      <td>98169</td>\n",
       "      <td>14368</td>\n",
       "      <td>7082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008.0</th>\n",
       "      <td>2609</td>\n",
       "      <td>739</td>\n",
       "      <td>98226</td>\n",
       "      <td>13282</td>\n",
       "      <td>7449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009.0</th>\n",
       "      <td>69108</td>\n",
       "      <td>18789</td>\n",
       "      <td>213579</td>\n",
       "      <td>288734</td>\n",
       "      <td>156102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010.0</th>\n",
       "      <td>67635</td>\n",
       "      <td>18470</td>\n",
       "      <td>212032</td>\n",
       "      <td>264888</td>\n",
       "      <td>161896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011.0</th>\n",
       "      <td>60525</td>\n",
       "      <td>18095</td>\n",
       "      <td>213934</td>\n",
       "      <td>258158</td>\n",
       "      <td>165075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012.0</th>\n",
       "      <td>57859</td>\n",
       "      <td>18479</td>\n",
       "      <td>219098</td>\n",
       "      <td>240981</td>\n",
       "      <td>162578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013.0</th>\n",
       "      <td>55454</td>\n",
       "      <td>18203</td>\n",
       "      <td>219246</td>\n",
       "      <td>229496</td>\n",
       "      <td>159833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014.0</th>\n",
       "      <td>44779</td>\n",
       "      <td>25072</td>\n",
       "      <td>214042</td>\n",
       "      <td>68425</td>\n",
       "      <td>307864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015.0</th>\n",
       "      <td>43780</td>\n",
       "      <td>23844</td>\n",
       "      <td>201129</td>\n",
       "      <td>63664</td>\n",
       "      <td>291294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016.0</th>\n",
       "      <td>44098</td>\n",
       "      <td>21785</td>\n",
       "      <td>195671</td>\n",
       "      <td>60115</td>\n",
       "      <td>278876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017.0</th>\n",
       "      <td>42831</td>\n",
       "      <td>22206</td>\n",
       "      <td>204112</td>\n",
       "      <td>57200</td>\n",
       "      <td>286805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018.0</th>\n",
       "      <td>42723</td>\n",
       "      <td>22976</td>\n",
       "      <td>205681</td>\n",
       "      <td>54396</td>\n",
       "      <td>282300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019.0</th>\n",
       "      <td>46026</td>\n",
       "      <td>23918</td>\n",
       "      <td>208625</td>\n",
       "      <td>52751</td>\n",
       "      <td>281169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020.0</th>\n",
       "      <td>514</td>\n",
       "      <td>478</td>\n",
       "      <td>7535</td>\n",
       "      <td>515</td>\n",
       "      <td>3035</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "expungable  Automatic  Automatic (pending)  Not eligible  Petition  \\\n",
       "year                                                                 \n",
       "2000.0           4476                  690         74514     16598   \n",
       "2001.0           4144                  687         79475     16621   \n",
       "2002.0           3794                  673         83140     16471   \n",
       "2003.0           3531                  692         83032     15135   \n",
       "2004.0           2910                  593         88315     12977   \n",
       "2005.0           2662                  543         87155     12204   \n",
       "2006.0           2461                  727         94959     12666   \n",
       "2007.0           2843                  623         98169     14368   \n",
       "2008.0           2609                  739         98226     13282   \n",
       "2009.0          69108                18789        213579    288734   \n",
       "2010.0          67635                18470        212032    264888   \n",
       "2011.0          60525                18095        213934    258158   \n",
       "2012.0          57859                18479        219098    240981   \n",
       "2013.0          55454                18203        219246    229496   \n",
       "2014.0          44779                25072        214042     68425   \n",
       "2015.0          43780                23844        201129     63664   \n",
       "2016.0          44098                21785        195671     60115   \n",
       "2017.0          42831                22206        204112     57200   \n",
       "2018.0          42723                22976        205681     54396   \n",
       "2019.0          46026                23918        208625     52751   \n",
       "2020.0            514                  478          7535       515   \n",
       "\n",
       "expungable  Petition (pending)  \n",
       "year                            \n",
       "2000.0                    6852  \n",
       "2001.0                    6763  \n",
       "2002.0                    6978  \n",
       "2003.0                    6884  \n",
       "2004.0                    6216  \n",
       "2005.0                    6010  \n",
       "2006.0                    6330  \n",
       "2007.0                    7082  \n",
       "2008.0                    7449  \n",
       "2009.0                  156102  \n",
       "2010.0                  161896  \n",
       "2011.0                  165075  \n",
       "2012.0                  162578  \n",
       "2013.0                  159833  \n",
       "2014.0                  307864  \n",
       "2015.0                  291294  \n",
       "2016.0                  278876  \n",
       "2017.0                  286805  \n",
       "2018.0                  282300  \n",
       "2019.0                  281169  \n",
       "2020.0                    3035  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(courtdata.year, courtdata.expungable)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be10ccd2-88c0-464b-bdf0-6edb84e35c6a",
   "metadata": {},
   "source": [
    "And this table lists **the row percents** -- out of all records in each year, what percent falls within each expungability outcome?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d742dcdc-3c1f-4f2c-8471-a232966bdfe3",
   "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>expungable</th>\n",
       "      <th>year</th>\n",
       "      <th>Automatic</th>\n",
       "      <th>Automatic (pending)</th>\n",
       "      <th>Not eligible</th>\n",
       "      <th>Petition</th>\n",
       "      <th>Petition (pending)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2000.0</td>\n",
       "      <td>4.34</td>\n",
       "      <td>0.67</td>\n",
       "      <td>72.25</td>\n",
       "      <td>16.09</td>\n",
       "      <td>6.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2001.0</td>\n",
       "      <td>3.85</td>\n",
       "      <td>0.64</td>\n",
       "      <td>73.80</td>\n",
       "      <td>15.43</td>\n",
       "      <td>6.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2002.0</td>\n",
       "      <td>3.42</td>\n",
       "      <td>0.61</td>\n",
       "      <td>74.86</td>\n",
       "      <td>14.83</td>\n",
       "      <td>6.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>3.23</td>\n",
       "      <td>0.63</td>\n",
       "      <td>75.99</td>\n",
       "      <td>13.85</td>\n",
       "      <td>6.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2004.0</td>\n",
       "      <td>2.62</td>\n",
       "      <td>0.53</td>\n",
       "      <td>79.56</td>\n",
       "      <td>11.69</td>\n",
       "      <td>5.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2005.0</td>\n",
       "      <td>2.45</td>\n",
       "      <td>0.50</td>\n",
       "      <td>80.27</td>\n",
       "      <td>11.24</td>\n",
       "      <td>5.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2006.0</td>\n",
       "      <td>2.10</td>\n",
       "      <td>0.62</td>\n",
       "      <td>81.06</td>\n",
       "      <td>10.81</td>\n",
       "      <td>5.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2007.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.51</td>\n",
       "      <td>79.76</td>\n",
       "      <td>11.67</td>\n",
       "      <td>5.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2008.0</td>\n",
       "      <td>2.13</td>\n",
       "      <td>0.60</td>\n",
       "      <td>80.31</td>\n",
       "      <td>10.86</td>\n",
       "      <td>6.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2009.0</td>\n",
       "      <td>9.26</td>\n",
       "      <td>2.52</td>\n",
       "      <td>28.62</td>\n",
       "      <td>38.69</td>\n",
       "      <td>20.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2010.0</td>\n",
       "      <td>9.33</td>\n",
       "      <td>2.55</td>\n",
       "      <td>29.25</td>\n",
       "      <td>36.54</td>\n",
       "      <td>22.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2011.0</td>\n",
       "      <td>8.46</td>\n",
       "      <td>2.53</td>\n",
       "      <td>29.89</td>\n",
       "      <td>36.07</td>\n",
       "      <td>23.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2012.0</td>\n",
       "      <td>8.28</td>\n",
       "      <td>2.64</td>\n",
       "      <td>31.34</td>\n",
       "      <td>34.48</td>\n",
       "      <td>23.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2013.0</td>\n",
       "      <td>8.13</td>\n",
       "      <td>2.67</td>\n",
       "      <td>32.14</td>\n",
       "      <td>33.64</td>\n",
       "      <td>23.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2014.0</td>\n",
       "      <td>6.78</td>\n",
       "      <td>3.80</td>\n",
       "      <td>32.42</td>\n",
       "      <td>10.36</td>\n",
       "      <td>46.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2015.0</td>\n",
       "      <td>7.02</td>\n",
       "      <td>3.82</td>\n",
       "      <td>32.25</td>\n",
       "      <td>10.21</td>\n",
       "      <td>46.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2016.0</td>\n",
       "      <td>7.34</td>\n",
       "      <td>3.63</td>\n",
       "      <td>32.58</td>\n",
       "      <td>10.01</td>\n",
       "      <td>46.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2017.0</td>\n",
       "      <td>6.99</td>\n",
       "      <td>3.62</td>\n",
       "      <td>33.29</td>\n",
       "      <td>9.33</td>\n",
       "      <td>46.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2018.0</td>\n",
       "      <td>7.03</td>\n",
       "      <td>3.78</td>\n",
       "      <td>33.82</td>\n",
       "      <td>8.95</td>\n",
       "      <td>46.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2019.0</td>\n",
       "      <td>7.51</td>\n",
       "      <td>3.91</td>\n",
       "      <td>34.06</td>\n",
       "      <td>8.61</td>\n",
       "      <td>45.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2020.0</td>\n",
       "      <td>4.26</td>\n",
       "      <td>3.96</td>\n",
       "      <td>62.39</td>\n",
       "      <td>4.26</td>\n",
       "      <td>25.13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "expungable    year  Automatic  Automatic (pending)  Not eligible  Petition  \\\n",
       "0           2000.0       4.34                 0.67         72.25     16.09   \n",
       "1           2001.0       3.85                 0.64         73.80     15.43   \n",
       "2           2002.0       3.42                 0.61         74.86     14.83   \n",
       "3           2003.0       3.23                 0.63         75.99     13.85   \n",
       "4           2004.0       2.62                 0.53         79.56     11.69   \n",
       "5           2005.0       2.45                 0.50         80.27     11.24   \n",
       "6           2006.0       2.10                 0.62         81.06     10.81   \n",
       "7           2007.0       2.31                 0.51         79.76     11.67   \n",
       "8           2008.0       2.13                 0.60         80.31     10.86   \n",
       "9           2009.0       9.26                 2.52         28.62     38.69   \n",
       "10          2010.0       9.33                 2.55         29.25     36.54   \n",
       "11          2011.0       8.46                 2.53         29.89     36.07   \n",
       "12          2012.0       8.28                 2.64         31.34     34.48   \n",
       "13          2013.0       8.13                 2.67         32.14     33.64   \n",
       "14          2014.0       6.78                 3.80         32.42     10.36   \n",
       "15          2015.0       7.02                 3.82         32.25     10.21   \n",
       "16          2016.0       7.34                 3.63         32.58     10.01   \n",
       "17          2017.0       6.99                 3.62         33.29      9.33   \n",
       "18          2018.0       7.03                 3.78         33.82      8.95   \n",
       "19          2019.0       7.51                 3.91         34.06      8.61   \n",
       "20          2020.0       4.26                 3.96         62.39      4.26   \n",
       "\n",
       "expungable  Petition (pending)  \n",
       "0                         6.64  \n",
       "1                         6.28  \n",
       "2                         6.28  \n",
       "3                         6.30  \n",
       "4                         5.60  \n",
       "5                         5.54  \n",
       "6                         5.40  \n",
       "7                         5.75  \n",
       "8                         6.09  \n",
       "9                        20.92  \n",
       "10                       22.33  \n",
       "11                       23.06  \n",
       "12                       23.26  \n",
       "13                       23.43  \n",
       "14                       46.63  \n",
       "15                       46.70  \n",
       "16                       46.44  \n",
       "17                       46.78  \n",
       "18                       46.43  \n",
       "19                       45.91  \n",
       "20                       25.13  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rowtable = (pd.crosstab(courtdata.year, courtdata.expungable, normalize='index')*100).round(2).reset_index()\n",
    "rowtable"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a2834a2-e60b-40d2-8995-f304370b1705",
   "metadata": {},
   "source": [
    "We can also plot these percentages over time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "07ee957f-e6c4-4279-be78-ff7d989e7c43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OYezYscycOZOGhoYe3/fCCy9k1apVzJw5k8mTJ7Nw4UJSUlJITU3luuuuY9asWeTm5oa7orRLS0ujoKCAuro6/vSnPx1y33vuuYevfOUrzJ49G5/Px9KlS7n//vt77wsbIEx3TfyDQX5+vu1q/EMRERGRg23ZsoVp06ZFu4xe88orr3DXXXd1ekjwWDQ0NJCUlERlZSUnnHAChYWFjBw5slfuPdh09XfFGLPBWpvf1flqoRYRERERzjnnHGpqamhra+P73//+sA3TR0OBWkRERGQQWrZsGcuWLeu1+7X3m5Yjp4cSRURERESOgQK1iIiIiMgxUKAWERERETkGCtQiIiIiIsdAgVpERESkHz3xxBMYY/jggw8Oe+6vfvUrmpqa+rSe4uJi/v73v4e3i4qKuPHGG/v0PYcaBWoRERGRfvTwww9z4okn8o9//OOw50YjUOfn53PPPff06XsONQrUIiIiIv2koaGBwsJC/vjHP4YD9SuvvMI555wTPueGG27ggQce4J577mHv3r0sX76c5cuXA8EwPmvWLGbOnNlpCvKkpCRuvvlm5s+fz2mnncabb77JsmXLmDBhAk8//TQQDM4nnXQS8+bNY968eaxbtw6AW265hTVr1jB37lzuvvvuTvU0NDRw9dVXM2vWLGbPns1jjz3WL9/TYKNxqEVERGTY+eG/32fz3rpevef0HA8/+OSMHs958sknOfPMM5k8eTLp6els3Lix23NvvPFGfvnLX/Lyyy8zYsQI9u7dy80338yGDRtIS0vj9NNP58knn+T888+nsbGRZcuW8bOf/YwLLriAW2+9lRdeeIHNmzdz5ZVXcu6555KVlcULL7xAXFwc27Zt47LLLqOoqIg777yz04yLHcej/tGPfkRKSgrvvvsuANXV1cf+RQ1BaqEWERER6ScPP/wwl156KQCXXnopDz/8cMTXrl+/nmXLlpGZmYnL5eLyyy9n9erVAMTExHDmmWcCMGvWLE4++WTcbjezZs2iuLgYAK/Xy3XXXcesWbO4+OKL2bx582Hf88UXX+QrX/lKeDstLS3ieocTtVCLiIjIsHO4luS+UFlZyUsvvcR7772HMQa/348xhnPPPZdAIBA+r6WlpcvrrbXd3tvtdmOMAcDhcBAbGxte9/l8ANx9991kZ2fz9ttvEwgEiIuLO2zN1trwfaV7aqEWERER6QePPvooV1xxBR999BHFxcV8/PHH5OXlAbB582ZaW1upra1l1apV4WuSk5Opr68HYOHChbz66qvs378fv9/Pww8/zMknnxzx+9fW1jJq1CgcDgcPPfQQfr//kPc42Omnn859990X3laXj64pUIuIiIj0g4cffpgLLrig074LL7yQv//971xyySXMnj2byy+/nOOPPz58/Prrr+ess85i+fLljBo1ip/+9KcsX76cOXPmMG/ePM4777yI3//LX/4yDz74IIsWLWLr1q0kJiYCMHv2bFwuF3PmzOHuu+/udM2tt95KdXU1M2fOZM6cObz88svH8A0MXaanXx8MdPn5+baoqCjaZYiIiMggsGXLFqZNmxbtMmQQ6OrvijFmg7U2v6vz1UItIiIiInIMFKhFRERERI6BArWIiIiIyDFQoBYREREROQYK1CIiIiIix0CBWkRERETkGChQi4iIiPSjJ554AmMMH3zwQUTn/+pXv6KpqalPayouLubvf/97eLuoqIgbb7zxiO5x0UUXsXPnzt4urZOrrrqKRx99FIBrr702ounTu1JRURGeqr03KFCLiIiI9KOHH36YE088kX/84x8RnR+NQJ2fn88999wT8fXvv/8+fr+fCRMm9EV5XfrDH/7A9OnTj+razMxMRo0aRWFhYa/UokAtIiIi0k8aGhooLCzkj3/8Y6dA/corr3DOOeeEt2+44QYeeOAB7rnnHvbu3cvy5ctZvnw5EAzks2bNYubMmdx8883ha5KSkrj55puZP38+p512Gm+++SbLli1jwoQJPP3000AwOJ900knMmzePefPmsW7dOgBuueUW1qxZw9y5c7n77rs71dPQ0MDVV1/NrFmzmD17No899tghn+tvf/tbp1kbk5KS+OY3v8m8efM49dRTqaioAGDHjh2ceeaZzJ8/n5NOOincSn/VVVdx4403UlBQwIQJE8Kt0NZabrjhBqZPn87ZZ59NeXl5+D2WLVtG+wR/SUlJ/Nd//Rdz5sxh0aJFlJWVhd9v0aJFLFiwgNtuu42kpKTw9eeffz5/+9vfjuwPsBuuXrmLiIiIyGDy3C2w793evefIWXDWnT2e8uSTT3LmmWcyefJk0tPT2bhxI/Pmzev2/BtvvJFf/vKXvPzyy4wYMYK9e/dy8803s2HDBtLS0jj99NN58sknOf/882lsbGTZsmX87Gc/44ILLuDWW2/lhRdeYPPmzVx55ZWce+65ZGVl8cILLxAXF8e2bdu47LLLKCoq4s477+Suu+7imWeeAYIBv92PfvQjUlJSePfd4PdVXV19SJ2FhYVcdtll4e3GxkbmzZvHL37xC+644w5++MMfct9993H99ddz//33M2nSJN544w2+/OUv89JLLwFQWlrK2rVr+eCDDzj33HO56KKLeOKJJ/jwww959913KSsrY/r06VxzzTWHvH9jYyOLFi3iJz/5Cd/5znf4/e9/z6233spNN93ETTfdxGWXXcb999/f6Zr8/HxuvfXWHv+8IqUWahEREZF+8vDDD3PppZcCcOmll/Lwww8f0fXr169n2bJlZGZm4nK5uPzyy1m9ejUAMTEx4X7Bs2bN4uSTT8btdjNr1iyKi4sB8Hq9XHfddcyaNYuLL744oj7IL774Il/5ylfC22lpaYecU1paSmZmZnjb4XDw6U9/GoDPfvazrF27loaGBtatW8fFF1/M3Llz+cIXvkBpaWn4mvPPPx+Hw8H06dPDLcyrV6/msssuw+l0kpOTwymnnNJljTExMeEW9fnz54c/72uvvcbFF18MwGc+85lO12RlZbF3797Dfv5IqIVaREREhp/DtCT3hcrKSl566SXee+89jDH4/X6MMfz85z/H5XIRCATC57a0tHR5D2ttt/d3u90YY4BgoI2NjQ2v+3w+AO6++26ys7N5++23CQQCxMXFHbZua234vt2Jj4/vtmYAYwyBQIDU1FQ2bdrU5Tnt9ba/Z8drD6fjZ3c6neHP25OWlhbi4+MPe14k1EItIiIi0g8effRRrrjiCj766COKi4v5+OOPycvLY+3atYwfP57NmzfT2tpKbW0tq1atCl+XnJxMfX09AAsXLuTVV19l//79+P1+Hn74YU4++eSIa6itrWXUqFE4HA4eeugh/H7/Ie9xsNNPP5377rsvvN1Vl49p06axffv28HYgEAj3g/773//OiSeeiMfjIS8vj3/9619AMDS//fbbPda7dOlS/vGPf+D3+yktLeXll1+O+LMCLFq0KNzn++CHQLdu3crMmTOP6H7dUaAWERER6QcPP/wwF1xwQad9F154IX//+98ZO3Ysl1xyCbNnz+byyy/n+OOPD59z/fXXc9ZZZ7F8+XJGjRrFT3/6U5YvX86cOXOYN29ep4cBD+fLX/4yDz74IIsWLWLr1q0kJiYCMHv2bFwuF3PmzOHuu+/udM2tt95KdXU1M2fOZM6cOV2G2rPPPrtTv+vExETef/995s+fz0svvcRtt90GBB9e/OMf/8icOXOYMWMGTz31VI/1XnDBBUyaNIlZs2bxpS996Yh+eIDgCCm//OUvOeGEEygtLSUlJSV87OWXX+bss88+ovt1x/T0q4OBLj8/37Y/3SkiIiLSky1btjBt2rRolzEkNTc3s3z5cgoLC3E6nSQlJdHQ0BDtsmhqaiI+Ph5jDP/4xz94+OGHwyF+6dKlPPXUU132Ce/q74oxZoO1Nr+r91EfahERERE5JvHx8fzwhz+kpKSEcePGRbucsA0bNnDDDTdgrSU1NZU//elPQHBil2984xtdhumjoUAtIiIiIsfsjDPOCK8PhNZpgJNOOqnLftqZmZmcf/75vfY+6kMtIiIiInIMFKhFRERERI6BArWIiIiIyDFQoBYREREROQYK1CIiIiL9xBjDN7/5zfD2XXfdxe23397jNU8++WREU4R39MADD3DDDTcAcP/99/OXv/ylx/OLioq48cYbAbj99tu56667DjmnuLi41yZCGWoUqEVERET6SWxsLI8//jj79++P+JqjCdQdffGLX+SKK67o8Zz8/Hzuueeeo36P4U6BWkRERKSfuFwurr/++kNmIwT46KOPOPXUU5k9ezannnoqu3fvZt26dTz99NN8+9vfZu7cuezYsaPTNRUVFVx44YUsWLCABQsWUFhYeMh9O7Y4r1+/ntmzZ7N48WK+/e1vh1ucX3nlFc4555zwNW+//TannHIKkyZN4ve///0h9/T7/Xz7299mwYIFzJ49m//3//7fMX0vg53GoRYREZFh52dv/owPqj7o1XtOTZ/KzSfcfNjzvvKVrzB79my+853vdNp/ww03cMUVV3DllVfypz/9iRtvvJEnn3ySc889l3POOYeLLrrokHvddNNNfP3rX+fEE09k9+7dnHHGGWzZsqXb97766qv53e9+R0FBAbfccku3573zzju8/vrrNDY2cvzxxx8yRfcf//hHUlJSWL9+Pa2trSxZsoTTTz+dvLy8w37+oUiBWkRERKQfeTwerrjiCu655x7i4+PD+1977TUef/xxAD73uc8dEri78uKLL3bqDlJXV0d9fX2X59bU1FBfX09BQQEAn/nMZ3jmmWe6PPe8884jPj6e+Ph4li9fzptvvsncuXPDx59//nneeecdHn30UQBqa2vZtm2bArWIiIjIcBFJS3Jf+trXvsa8efO4+uqruz3HGHPY+wQCAV577bVOwbw71tqI6zv4vQ/ettZy7733dpodcThTH2oRERGRfpaens4ll1zCH//4x/C+goIC/vGPfwDwt7/9jRNPPBGA5OTkbludTz/9dO67777w9qZNm7p9z7S0NJKTk3n99dcBwu/VlaeeeoqWlhYqKyt55ZVXWLBgQafjZ5xxBr/97W/xer0AbN26lcbGxh4+8dCmQC0iIiISBd/85jc7jfZxzz338Oc//5nZs2fz0EMP8etf/xqASy+9lP/5n//h+OOPP+ShxHvuuYeioiJmz57N9OnTuf/++3t8zz/+8Y9cf/31LF68GGstKSkpXZ53wgkncPbZZ7No0SK+//3vk5OT0+n4tddey/Tp05k3bx4zZ87kC1/4Aj6f72i+hiHBHEnz/0CTn59vi4qKol2GiIiIDAJbtmxh2rRp0S4jqhoaGkhKSgLgzjvvpLS0NBzc5YCu/q4YYzZYa/O7Ol99qEVERESGiWeffZaf/vSn+Hw+xo8fzwMPPBDtkoYEBWoRERGRYeLTn/40n/70p6NdxpCjPtQiIiIiIsdAgVpERERE5BgoUIuIiIiIHAMFahERERGRY6BALSIiItJPnE4nc+fOZebMmVx88cU0NTV1e+6mTZtYuXJlePvpp5/mzjvvBODJJ5/sNOX4bbfdxosvvth3hUuPFKhFhrE2fxt7G/bydsXbvPjRizy1/SneKn+L2tbaaJcmIjIkxcfHs2nTJt577z1iYmJ6nIjl4EB97rnncssttwCHBuo77riD0047re8Klx5p2DyRIajF10JFcwUVTRVUNFewv3l/eD28bK7oMThnxGUwMXUieSl5TEydyMSUiUxInUBGXAbGmH78NCIiQ9NJJ53EO++8Q2NjI1/96ld599138fl83H777Zx11lncdtttNDc3s3btWr773e/S3NxMUVERn/nMZ3j66ad59dVX+fGPf8xjjz3Gj370I8455xwuuugiVq1axbe+9S18Ph8LFizgt7/9LbGxseTm5nLllVfy73//G6/Xy7/+9S+mTp0a7a9hSIhKoDbGfB24FrDAu8DVQALwCJALFAOXWGuro1GfyEDV5G2ivKn80JDcXMH+pv2UN5ezv2k/9d76Q651OVxkxmeSGZ/JuORxzM+eH9xOyGRE/AiyErKId8XzUd1H7KzZyY7aHeys3cmzO5+lwdsQvo8nxsOElAlMTJ3IhJQJTEidwMSUiYxMHKmgLSKDxr7//m9at3zQq/eMnTaVkd/7XkTn+nw+nnvuOc4880x+8pOfcMopp/CnP/2JmpoaTjjhBE477TTuuOMOioqKuO+++wDCk7AUFBRw7rnnhgN0Ry0tLVx11VWsWrWKyZMnc8UVV/Db3/6Wr33tawCMGDGCjRs38r//+7/cdddd/OEPf+i1zz+c9XugNsaMBm4Epltrm40x/wQuBaYDq6y1dxpjbgFuAW7u7/pE+psv4KOmtYbK5srgq6UyGJZDIbk9MFc0VdDkO7SvXawzlhHxI8iMz+S41ONYPGrxgZAcn8WIhOCxlNgUHObwvbzGe8azdMzS8La1lvKmcnbW7gy+QmH7pd0v8VjrY+HzElwJ4dbsvJQ8JqZMZGLqREYnjcbpcPbOl3UUvAEvda111LXVUdta22lZ11pHVkIWF06+MGr1icjw0tzczNy5c4FgC/XnP/95CgoKePrpp7nrrruAYCjevXv3Ud3/ww8/JC8vj8mTJwNw5ZVX8pvf/CYcqD/1qU8BMH/+fB5//PFj+zASFq0uHy4g3hjjJdgyvRf4LrAsdPxB4BUUqGWQavW3UtVcRWVLMCRXtRxYr2yp7HSsprUGiz3kHvGueDLjg8F4Wvo0Thp9EpkJmeFW5fZjnhhPn7YMG2PITswmOzGbxTmLOx2raqliZ83OcNjeUbOD1/e+ztM7ng6fE+OIITcll4kpE8lLDQbtCSkTGO8Zj9vpjqgGay2N3sZwGK5tq6Wute6Q5cGhuba1tssfQg52eu7pJMckH9kXIyKDWqQtyb2tvQ91R9ZaHnvsMaZMmdJp/xtvvHHE97f20P+fdBQbGwsEH470+XxHfH/pWr8HamttiTHmLmA30Aw8b6193hiTba0tDZ1TaozJ6up6Y8z1wPUA48aN66+yZZiz1tLka+oyEFe2hAJzaL2yubJTF4mOEt2JZMRlkB6XznjPeOZlzSMjPridEZ9BRlxGeJkUk9TPn/LIpcelkz4ynfyR+Z3217fVh1uz24P2O/vf4bni58LnOI2TcZ5xwW4jKRNwOpydW5APCsh+6++2DrfDTUpsCikxKaTEpjAyYSST0ybjifEE98emhNfD+2JSKCor4uuvfJ3i2mJmZc7qs+9JRKQnZ5xxBvfeey/33nsvxhjeeustjj/+eJKTk6mvP7QLH9DtsalTp1JcXMz27ds57rjjeOihhzj55JP7+iMMe9Ho8pEGnAfkATXAv4wxn430emvt74DfAeTn5/f8Y5jIUfAH/Lzy8Ss8s/MZyprKwi3MLf6WLs9PjU0NhuT4dKalTwsH4oNDcnpcOnGuuP79MFGSHJPMnMw5zMmc02l/s6+Z4triYP/sDmH7lY9fwW/9JMckkxKTgifWQ0pMCjlJOYcEYU+s55B9cc64o2qln5g6EYDiOgVqEYme73//+3zta19j9uzZWGvJzc3lmWeeYfny5dx5553MnTuX7373u52uufTSS7nuuuu45557ePTRR8P74+Li+POf/8zFF18cfijxi1/8Yn9/pGHHHO5XA73+hsZcDJxprf18aPsKYBFwKrAs1Do9CnjFWjulh1uRn59vi4qK+rxmGR6avE08sf0J/rr5r+xp2EN2QjYTUyd2ajVOj0/vFJDT4tJwOyLrtiDd8wa8OHD0e19rb8DLCX89gatnXs2N827s1/cWkf63ZcsWpk2bFu0yZBDo6u+KMWaDtTa/q/Oj0Yd6N7DIGJNAsMvHqUAR0AhcCdwZWj4VhdpkGNrXuI+HP3iYf239F/Vt9czJnMM38r/B8rHLcTk0smR/iNYPJW6HmzHJYyiuK47K+4uIyNAQjT7UbxhjHgU2Aj7gLYJdOJKAfxpjPk8wdF/c37XJ8LK5cjMPbX6I/+z6DwECnDbuND43/XPMzZob7dKkH+Wl5LGrdle0yxARkUEsKs1v1tofAD84aHcrwdZqkT4TsAFW71nNXzb/hfX71pPgSuDSqZdy+bTLGZM8JtrlSRTkpuSytmQt/oA/qsP7iYjI4KXfZ8uw0Oxr5t87/s1Dmx+iuK6YkYkj+Vb+t/jUpE9puLRhLs+ThzfgZW/DXsZ6xka7HBERGYQUqGVIq2iq4OEPHuafW/9JbWstMzJm8POlP+e08afpYUIBgl0+AHbV7VKgFhGRo6JALUPSh1Uf8tDmh1i5ayW+gI9Txp3CFdOv4Pis4zU9tnSS68kFYFftrk4zRIqIiETq8PMQiwwS1lrW7FnDdc9fx0X/vojnP3qeiyZfxDMXPMOvlv+KednzFKblEKlxqaTHpevBRBHpF06nk7lz5zJz5kwuvvhimpq6n81106ZNrFy5Mrz99NNPc+eddwLw5JNPsnnz5vCx2267jRdffLFXanzrrbe49tpre+Ve3SkuLmbmzJkAFBUVceONRz906be+9S1eeuml3irtqKiFWga9Vn8rz+x4hoc2P8SO2h1kxWdx07ybuHjyxaTEpkS7PBkEcj25CtQi0i86Tj1++eWXc//99/ONb3yjy3M3bdpEUVERK1asAODcc8/l3HPPBYKB+pxzzmH69OkA3HHHHb1W43//939z66239tr9Dic/P5/8/C6Hd47IV7/6Va677jpOOeWUXqzqyKiFWgatyuZK/nfT/3L6o6dz+2u343a6+e8T/5v/XPgfrp11rcK0RCwvJU9jUYtIvzvppJPYvn07jY2NXHPNNSxYsIDjjz+ep556ira2Nm677TYeeeQR5s6dyyOPPMIDDzzADTfcwLp163j66af59re/zdy5c9mxYwdXXXVVeMbEVatWcfzxxzNr1iyuueYaWltbAcjNzeUHP/gB8+bNY9asWXzwwQeH1FRfX88777zDnDnBmW5vv/12Pve5z3HKKacwadIkfv/734fP/Z//+R8WLFjA7Nmz+cEPgoO3FRcXM23aNK677jpmzJjB6aefTnNzMwAbNmxgzpw5LF68mN/85jfh+7zyyiucc8454fe75pprWLZsGRMmTOCee+4Jn/ejH/2IqVOn8olPfILLLruMu+66C4Dx48dTWVnJvn37eu3P5kiphVoGnR01O3ho80P8e8e/aQu0cfKYk7li+hUsGLlAXTrkqOR6cqlqqaK2tVY/iIkME2v+uZX9Hzf06j1HjE3ipEsmR3Suz+fjueee48wzz+QnP/kJp5xyCn/605+oqanhhBNO4LTTTuOOO+6gqKiI++67D4AHHngAgIKCAs4991zOOeccLrrook73bWlp4aqrrmLVqlVMnjyZK664gt/+9rd87WtfC9Y4YgQbN27kf//3f7nrrrv4wx/+0On6oqKicFeMdu+88w6vv/46jY2NHH/88Zx99tm89957bNu2jTfffBNrLeeeey6rV69m3LhxbNu2jYcffpjf//73XHLJJTz22GN89rOf5eqrr+bee+/l5JNP5tvf/na3380HH3zAyy+/TH19PVOmTOFLX/oSb7/9No899hhvvfUWPp+PefPmMX/+/PA18+bNo7CwkAsvvDCi77+3KVDLoGCt5fXS13lw84MUlhQS64zlvOPO43PTPxcepUHkaIVH+qjdpYl9RKRPNTc3M3fuXCDYQv35z3+egoICnn766XCLa0tLC7t37z6q+3/44Yfk5eUxeXIw2F955ZX85je/CQfqT33qUwDMnz+fxx9//JDrS0tLyczM7LTvvPPOIz4+nvj4eJYvX86bb77J2rVref755zn++OMBaGhoYNu2bYwbN468vLzwZ5w/fz7FxcXU1tZSU1PDySefDMDnPvc5nnvuuS4/w9lnn01sbCyxsbFkZWVRVlbG2rVrw3UAfPKTn+x0TVZWFnv37j2Kb6x3KFDLgNbkbeL5j57nL5v/wrbqbWTEZXDD3Bu4ZMolpMWlRbs8GSLaA3VxXbECtcgwEWlLcm/r2Ie6nbWWxx57jClTpnTa/8Ybbxzx/a21PR6PjY0Fgg9H+ny+LutraWnptO/g3/4aY7DW8t3vfpcvfOELnY4VFxeH36P9fZqbm7HWRvxb5IOv9/l8h/1cLS0t4bAdDepDLVHX6G1kS+UW/q/4//jDu3/gtsLbuOo/V3HqP09l4d8X8v3C72Ot5Y6CO3j+ouf5wpwvKExLr8pJysHlcOnBRBGJijPOOIN77703HBrfeustAJKTk6mvr+/ymu6OTZ06leLiYrZv3w7AQw89FG4VjsS0adPC17Z76qmnaGlpobKykldeeYUFCxZwxhln8Kc//YmGhmC3mZKSEsrLy7u9b2pqKikpKaxduxaAv/3tbxHXBHDiiSfy73//m5aWFhoaGnj22Wc7Hd+6deshXVX6k1qopV/Ut9Wzu343u+tCr/rdfFz/MbvrdlPZUtnp3BHxIxiXPI7FOYsZ5xnH7MzZLBy5UP2jpc+4HC7GJ4+nuLY42qWIyDD0/e9/n6997WvMnj0bay25ubk888wzLF++nDvvvJO5c+fy3e9+t9M1l156Kddddx333HNP+GFEgLi4OP785z9z8cUX4/P5WLBgAV/84hcjrmXq1KnU1tZSX19PcnJwJuETTjiBs88+m927d/P973+fnJwccnJy2LJlC4sXLwYgKSmJv/71rzidzm7v/ec//5lrrrmGhIQEzjjjjCP5iliwYAHnnnsuc+bMYfz48eTn55OSEnzmxev1sn379mMaKeRYmcM1oQ9k+fn5tqioKNplSEhta204LIeX9bv5uO5jqlurO52bFZ/FOM84xnnGMTZ5LOOSD6wnuhOj9AlkOPv6y19nR+0Onj7/6WiXIiJ9ZMuWLUybNi3aZQx4d999N8nJyVx77bXcfvvtJCUl8a1vfSvaZdHQ0EBSUhJNTU0sXbqU3/3ud8ybN48nnniCjRs38qMf/ajX3qurvyvGmA3W2i5Tu1qoJWLWWqpbq9ldF2pdrt/NR3Uf8XFdcL2ura7T+SMTRzIueRynjj81GJiTxzHWM5YxSWNIcCdE6VOIdC03JZdXPn4Fb8CraelFZFj70pe+xL/+9a9ol3GI66+/ns2bN9PS0sKVV17JvHnzgOCIKd/85jejWpsCtXTiDXjZ17CPjxs+Zk/9HvY07Aku6/fwcf3HNHgPDDHkMA5GJY5ibPJYzsw9M9jiHGppHp00mjhXXBQ/iciRyUvJw2d9lNSXkJuSG+1yRESiJi4ujs997nNAcFzogeLvf/97l/svvvjifq7kUArUw4y1lprWGvbU76GkoaRTYN7TsIfSxlICNhA+3+VwMSZpDKOTRjMnc84hoTnGGRPFTyPSe3I9uUBw6DwFapGh60hGm5Dh6Wi6QytQD0Ft/jb2Nuw9JCy3Lxu9jZ3OT49LZ0zyGOZkzuHsCWczJmkMY5LHMDZ5LJnxmTgd3T9gIDJUtIfoXXW7WM7y6BYjIn0iLi6OyspKMjIyFKqlS9ZaKisriYs7st+yK1APQtZaKlsqOwXlkoaS8HZZYxmWAz9dxThiGJMcDMnzs+czOml0eFv9mUWCPDEeRsSP0EgfIkPYmDFj2LNnDxUVFdEuRQawuLg4xowZc0TXKFAPcNUt1Wyp2sIHVR+wpXIL22u2U9JQQrOvudN5mfGZjEkew4LsBZ3C8pjkMYyIH4HDaMhxkcPJ9eRqLGqRIcztdpOXp9l1pfcpUA8Q1lrKm8rZUrUl+KoMLvc17gufk5OYw6S0SSwatahTYM5JyiHeFb3ZgUSGiryUPF746IVolyEiIoOMAnUUWGvZU7+HzVWbwy3PW6q2UNVSBYDBMN4znuMzj2fa1GlMy5jG1LSppMalRrdwkSEu15NLTWsN1S3Vmo1TREQipkDdx3wBH8W1xZ1anj+s+pB6b3C6UJdxMTF1IieNPolpGdOYnjGdKWlT1K9ZJAryUoK/Ct5Vu0uBWkREItZjoDbGOIEbrbV391M9g1qbv41tNdv4oPKDcHjeWr2VFn8LALHOWKakTeGsvLOYlhFseT4u9ThinbFRrlxE4ECgLq4rZl72vChXIyIig0WPgdpa6zfGnAcoUB+kydvEh9UfhrtrfFD1Adurt+OzPgCS3ElMTZ/KRZMvYnrGdKalTyM3JReXQ78UEBmoRiWOIsYRowcTRUTkiESS7gqNMfcBjwDhAYyttRv7rKoBrNnXzKef+TTFtcXhoenS49KZlj6NJTOWBLttpE9ndPJojawhMsg4HU7Gp4zX0HkiInJEIgnUBaHlHR32WeCU3i9n4It3xTMncw5n5Ya6baRPIyshSwPEiwwReZ48Pqz+MNpliIjIIHLYQG2t1ZRhB/nRkh9FuwQR6SO5Kbms2r0Kr9+L2+mOdjkiIjIIRNSh1xhzNjADCM/DaK29o/srREQGp7yUPPzWz8f1HzMhdUK0yxERkUHgsJ18jTH3A58GvgoY4GJgfB/XJSISFXmeA0PniYiIRCKSp+YKrLVXANXW2h8Ci4GxfVuWiEh05KbkArCrToFaREQiE0mgbg4tm4wxOYAXyOu7kkREoifRnUhWQpZaqEVEJGKR9KF+xhiTCvwPsJHgCB9/6MuiRESiKc+Tp6HzREQkYpGM8tE+pMVjxphngDhrbW3fliUiEj25Kbms3LUSa62GxBQRkcOK5KHEBGPM940xv7fWtgJZxphz+qE2EZGoyEvJo76tnsqWymiXIiIig0Akfaj/DLQSfBgRYA/w4z6rSEQkyjTSh4iIHIlIAvVEa+3PCT6MiLW2meDweSIiQ1JeSjBQF9cVR7cQEREZFCIJ1G3GmHiCDyNijJlIsMVaRGRIyk7MJs4ZpxZqERGJSCSjfNwO/AcYa4z5G7AEuKoPaxIRiSqHcZCbkquRPkREJCKRjPLxvDFmA7CIYFePm6y1+/u8MhGRKMrz5PHu/nejXYaIiAwCkYzy8SiwEHjOWvuMwrSIDAe5KbmUNJTQ6lcPNxER6VkkfajvBy4Hthlj7jTGTO3jmkREoi4vJQ+LZXfd7miXIiIiA9xhA7W19kVr7eXAPKAYeMEYs84Yc7Uxxt3XBYqIREOuJxfQ0HkiInJ4kbRQY4zJIPgg4rXAW8CvCQbsF/qsMhGRKBrvGQ8oUIuIyOEd9qFEY8zjwFTgIeCT1trS0KFHjDFFfVmciEi0JLgTGJU4SmNRi4jIYUUybN591tqXujpgrc3v5XpERAaMXE+uWqhFROSwIulD3WWYFhEZ6vJS8iiuK8ZaG+1SRERkAIuoD7WIyHCUm5JLo7eRiuaKaJciIiIDmAK1iEg38lLyAD2YKCIiPYtkYpdVkewTERlq8jzBQK0pyEVEpCfdPpRojIkDEoARxpg0gtOOA3iAnH6oTUQkqrISskhwJbCrTi3UIiLSvZ5G+fgC8DWC4XkDBwJ1HfCbvi1LRCT6jDHkpuSqhVpERHrUbaC21v4a+LUx5qvW2nv7sSYRkQEjLyWPt8reinYZIiIygB12HGpr7b3GmJnAdCCuw/6/9GVhIiIDQa4nl2d3Pkuzr5l4V3y0yxERkQEokocSfwDcG3otB34OnNvHdYmIDAjtI33srtsd5UpERGSgimTYvIuAU4F91tqrgTlAbJ9WJSIyQOR6cgENnSciIt2LJFA3W2sDgM8Y4wHKgQl9W5aIyMAw3jMeg1GgFhGRbh22DzVQZIxJBX5PcLSPBuDNvixKRGSgiHPFkZOUo6HzRESkW5E8lPjl0Or9xpj/AB5r7Tt9W5aIyMChofNERKQnEU09bowZbYwpAMYBqcaYpX1blojIwJHnyaO4rpiADUS7FBERGYAO20JtjPkZ8GlgM+AP7bbA6j6sS0RkwMhLyaPZ10x5UzkjE0dGuxwRERlgIulDfT4wxVrb2se1iIgMSO1D5+2s3alALSIih4iky8dOwN3XhYiIDFTtgVr9qEVEoqe+rZ4ntj1BTUtNtEs5RLct1MaYewl27WgCNhljVgHhVmpr7Y19X56ISPRlxGWQ5E7S0HkiIlH0eunr3LbuNh4880Hmxc2Ldjmd9NTloyi03AA8fdAx2zfliIgMPMYY8lKCDyaKiEh0FJYUkuxOZnbm7GiXcohuA7W19kEAY8xN1tpfdzxmjLmprwsTERlI8lLyeKP0jWiXISIyLFlrWVOyhkU5i3A5InkEsH9F0of6yi72XdXLdYiIDGi5nlzKmspo8jZFuxQRkWFne812ypvKWZKzJNqldKmnPtSXAZ8B8owxHbt8JAOVfV2YiMhAEn4wsa6Y6RnTo1yNiMjwUlhSCMCS0YMsUAPrgFJgBPCLDvvrAc2UKCLDSq4nF4BdtbsUqEVE+tnakrUcl3rcgB26tKc+1B8BHwGLe/tNjTGpwB+AmQQfcLwG+BB4BMgFioFLrLXVvf3eIiJHY5xnHA7j0EgfIiL9rMnbxIbyDXx22mejXUq3Ipp6vA/8GviPtXYqMAfYAtwCrLLWTgJWhbZFRAaEGGcMY5LGaKQPEZF+9ua+N/EFfAO2uwdEIVAbYzzAUuCPANbaNmttDXAe8GDotAcJztAoIjJg5KbkqoVaRKSfrS1ZS7wrnnlZA2vs6Y6i0UI9AagA/myMecsY8wdjTCKQba0tBQgts7q62BhzvTGmyBhTVFFR0X9Vi8iwl+fJ46O6jwjYQLRLEREZFqy1rC1Zy8KRC4lxxkS7nG4dNlAbY5YYY14wxmw1xuw0xuwyxuw8hvd0AfOA31prjwcaOYLuHdba31lr8621+ZmZmcdQhojIkclNyaXV30ppY2m0SxERGRY+qvuIkoaSAd3dA3oe5aPdH4GvE5wx0d8L77kH2GOtbZ8h4VGCgbrMGDPKWltqjBkFlPfCe4mI9Jr2ofN21e5idNLoKFcjIjL0Fe4d2MPltYuky0ettfY5a225tbay/XW0b2it3Qd8bIyZEtp1KrCZ4PTm7ZPIXAk8dbTvISLSF8JjUdcWR7cQEZFhYm3JWnI9uYxNHhvtUnoUSQv1y8aY/wEeB1rbd1prNx7D+34V+JsxJgbYCVxNMNz/0xjzeWA3cPEx3F9EpNelxabhifHowUQRkX7Q4mth/b71XDT5omiXcliRBOqFoWV+h30WOOVo39Rau+mg+7U79WjvKSLS14wx5KXkaeg8EZF+sKFsA63+1gE73XhHhw3U1trl/VGIiMhgkJeSF54CV0RE+s7akrXEOmNZMHJBtEs5rG4DtTHms9bavxpjvtHVcWvtL/uuLBGRgSnXk8uT25+koa2BpJikaJcjIjJkrS1ZS352PnGuuGiXclg9PZSYGFomd/MSERl2wg8mqtuHiEif2VO/h+K64gE/uke7bluorbX/L7T8Yf+VIyIysOWm5ALBofNmjpgZ3WJERIaodXvXAXDi6BOjXElkojFToojIoDU2eSwu49JIHyIifWhtyVpGJ40m15Mb7VIiokAtInIE3A43Y5LHqMuHiEgf8fq9vFH6BktylmCMiXY5EVGgFhE5QrkpuWqhFhHpI2+Vv0WTr2nQ9J+GCAK1MeYmY4zHBP3RGLPRGHN6fxQnIjIQ5aXk8VHdR/gD/miXIiIy5KzduxaXw8XCUQsPf/IAEUkL9TXW2jrgdCCT4KyGd/ZpVSIiA1ieJw9vwMvehr3RLkVEZMgpLClkXtY8Et2Jhz95gIgkULd3XlkB/Nla+3aHfSIiw0770Hm76tTtQ0SkN5U1lrG1euug6u4BkQXqDcaY5wkG6v8zxiQDgb4tS0Rk4Gp/6lz9qEVEetdgGy6v3WGnHgc+D8wFdlprm4wxGQS7fYiIDEupcamkxaYpUIuI9LK1JWvJis9iUuqkaJdyRHqaenzeQbsmDJahS0RE+lpeSp4CtYhIL/IFfLxW+hqnjTtt0AyX166nFupfhJZxwHzgHYJ9p2cDbwCDqy1eRKQX5aXk8fLHL0e7DBGRIePd/e9S31Y/6PpPQw99qK21y621y4GPgPnW2nxr7XzgeGB7fxUoIjIQ5XpyqWqpora1NtqliIgMCWtL1uI0ThbnLI52KUcskocSp1pr323fsNa+R7BPtYjIsNU+0odmTBQR6R2FJYXMzpyNJ8YT7VKOWCSB+gNjzB+MMcuMMScbY34PbOnrwkREBrLclFxAI32IiPSGyuZK3q98nyU5g6+7B0Q2ysdVwJeAm0Lbq4Hf9lVBIiKDweik0bgcLgVqEZFeMFiHy2vXY6A2xjiBZ6y1pwF3909JIiIDn8vhYnzyeIpri6NdiojIoFe4t5D0uHSmZUyLdilHpccuH9ZaP9BkjEnpp3pERAaN3JRczZYoInKMAjbAupJ1FOQU4DCR9EYeeCLp8tECvGuMeQFobN9prb2xz6oSERkE8lLyeHXPq3gDXtwOd7TLEREZlDZXbqa6tXpQDpfXLpJA/WzoJSIiHeR6cvEFfJTUl4QfUhQRkSOztmQtBkNBTkG0Szlqhw3U1toHjTExwOTQrg+ttd6+LUtEZOBrHzpvV+0uBWoRkaNUWFLIjIwZpMelR7uUo3bYjirGmGXANuA3wP8CW40xS/u2LBGRga89RGssahGRo1PbWss7+98Z1N09ILIuH78ATrfWfghgjJkMPExwOnIRkWHLE+MhIy5DQ+eJiByl10pfI2ADg3a4vHaRPErpbg/TANbarYCevhERIdjtQ4FaROToFJYU4onxMHPEzGiXckwiCdRFxpg/hmZKXBaaKXFDXxcmIjIY5KXkqcuHiMhRsNZSWFLI4pzFuByRdJoYuCIJ1F8C3gduJDhb4mbgi31ZlIjIYJHryaWmtYbqlupolyIiMqhsrd5KRXPFoJ1uvKNIfhxwAb+21v4SwrMnxvZpVSIig0T7SB/FdcWkxaVFuRoRkcFjbclaYPBON95RJC3Uq4D4DtvxwIt9U46IyODSPtKH+lGLiByZwr2FTEmbQmZCZrRLOWaRBOo4a21D+0ZoPaHvShIRGTxyEnOIccQoUIuIHIFGbyNvlb016IfLaxdJoG40xsxr3zDGzAea+64kEZHBw+lwMj5lPMW1xdEuRURk0Hi99HV81jckuntAZH2ovwb8yxizN7Q9Cvh0n1UkIjLI5Hpy2Vq9NdpliIgMGoUlhSS6E5mbOTfapfSKSKYeX2+MmQpMAQzwgaYeFxE5IC8lj5d2v4TX78Xt1DD9IiI9aR8ub+HIhUPm38xIph5PAG4GbrLWvgvkGmPO6fPKREQGiVxPLn7r5+P6j6NdiojIgLerdhd7G/cOmf7TEFkf6j8DbcDi0PYe4Md9VpGIyCAzIWUCoJE+REQiMZSGy2sXSaCeaK39OeAFsNY2E+z6ISIidBg6r06BWkTkcAr3FjIhZQI5STnRLqXXRBKo24wx8YAFMMZMBFr7tCoRkUEk0Z1IVnyWWqhFRA6j2ddM0b6iIdXdAyIb5eMHwH+AscaYvwFLgKv6sigRkcEmLyVPQ+eJiBzG+n3raQu0cWLO0OnuAYcJ1MYYB5AGfApYRLCrx03W2v39UJuIyKCRm5LLyl0rsdZijHrFiYh0pbCkkDhnHPNHzo92Kb2qxy4f1toAcIO1ttJa+6y19hmFaRGRQ+Wl5FHfVk9lS2W0SxERGbAK9xayYOQCYp2x0S6lV0XSh/oFY8y3jDFjjTHp7a8+r0xEZBDJ8+QBqNuHiEg3Pq77mI/qPhpy/achsj7U14SWX+mwzwITer8cEZHBqeNIH/kj86NbjIjIALR279AbLq9dJDMl5vVHISIig9nIxJHEOeM00oeISDcKSwoZmzyW8Z7x0S6l10XSQi0iIofhMA5yU3LV5UMGhH27aqnc04C1YAM2uLQWQstA4MC6DbQvD5wX3td+XQAC1kKnczqsd3gfAKfbgcvtCC5doaXb2Xl/p6Wzm/0OnC5Hrzzoa63F5w3ga/XjbfXjbfPjaw0El23BfcFlILwdPMePry0QXveGzw2ErwkELO4YJ65YJ+4YJ+5YB+5YJ64YZ3AZ3u/ssN8RPt55/4FzHS4zZB5ybvO38ea+Nzlv4nnRLqVPKFCLiPSSXE8u7+1/L9plyDDn8/r596830dbiP/KLDRhjMO1LR4dthwnvI7TP4TCdr3EYsOD3BfB5A/i9waUN2GP6TOGA7eo5jAd8gVDgDXQOyW3BbY6kDEMw4MYcCMftQTgpNTYckl2xThzGdAjawWVbi5+murZQMA+Ew/iR1GAcBneM40Agj3MeFNydxMS7iE3o+HJ3Xo934Y5zRj2YbyjbQLOveUh29wAFahGRXpOXksfzHz1Pq791yD3BLoPHR+9V0tbi54zrZjLquJSDAnEw/BIKw8YYcHQO0X0h4O8csP3eQDB0twXw+/zBluO24L6O5/i8/gPnewP4fAH8baHjvmBI9vsCNLf48HkDOJwGd6yTuAQXrrTYDuHzQGvwIa3DoXNcMY5wSHXFBkN6b38fh7SSd2gFD4fug/cfdI631U9rk4/Gmla8LX7aWny0Nvt6DOrGYYiNdxGT4CIuFLZj4t3EJga3g6Hc3XUoj3fhcEYyhkXPCksKcTvcLBi54JjvNRB1G6iNMfN6utBau7H3yxERGbxyPbkEbIDddbuZlDYp2uXIMLVtfTnxyW4mzB3RK0GoNzicDmKcDoiLdiXRZYwJhvYYJ/HJvXffQMDS1uyjrdlHa5OP1iZvaHnQdvOB9fqq1vB6wN9zs7k7zknsQaE7d/YIpi+JfOrwwr2FzM+eT4I74Vg/7oDUUwv1L3o4ZoFTerkWEZFBLS8l+Az3rtpdCtQSFW0tPj56dz9TC0YNmDAtfc/hMMQluolLdB/xte2t5q2NPlqbgwG7LRTCW5pCIb0xFMRDgb28uI6Pt1Rx3LwsYuIP39lhX+M+ttds5/zjzj+KTzc4dPstWGuX92chIiKDXfuT68V1xdEtRIat4nf24/MGmLQgO9qlyCDRsdU8KS2yrmr7dtby2M83sK2ojBknjT7s+WtLgsPlLckZeuNPt4uoD7UxZiYwnQ6/rLHW/qWvihIRGYwS3AmMTBypofMkaratLyMpLZZRE1KiXYoMYdl5HtJGJbJlXWlEgbqwpJCRiSOZmDqxH6qLjsP+PsgY8wPg3tBrOfBz4Nw+rktEZFDK8+QpUEtUtDR62b25iuPmZwVH2xDpI8YYphWMomxXHZV7G3o81xvw8nrp6yzJWRL1kUb6UiQdrC4CTgX2WWuvBuYAenxdRKQLeSl5FNcVB8fuFelHOzdVEPBbdfeQfjFl4UgcDsOWdaU9nvd2+ds0eBuG7HB57SIJ1M3W2gDgM8Z4gHI07biISJdyU3Jp9DZS0VwR7VJkmNm2voyUzHgyx/Xi8BEi3UjwxJA7ewRb39iH3xfo9rzCvYW4jIuFoxb2Y3X9L5JAXWSMSQV+D2wANgJv9mVRIiKDVftIH5oxUfpTY20rJR9WM2lB9pD+tboMLNOWjKK53kvxu/u7PaewpJA5WXNIjhnaP+gdNlBba79sra2x1t4PfAK4MtT1Q0REDpLryQVQP2rpVzs2VmAtHJefFe1SZBgZNz2dhJSYbrt97G/ez5aqLUO+uwdE9lDiqvZ1a22xtfadjvtEROSA7IRs4l3x7KpToJb+s72ojPScRDJykqJdigwjDqeDqYtHsfu9ShqqWw85XlhSCAzt4fLadRuojTFxxph0YIQxJs0Ykx565QKRT40jIjKMGGOCDyaqy4f0k/qqFkp31OphRImKaQWjsBY+fOPQVurCkkJGxI9gavrUKFTWv3pqof4CwT7TUwn2m94Qej0F/KbvSxMRGZxyPbnq8iH9ZltRGQCT1N1DoiA1K4GcSalsKSztNLqRP+BnXek6CnIKhkW//m4DtbX219baPOBb1tq8Dq851tr7+rFGEZFBJS8lj9LGUpp9zdEuRYaB7UXlZI1PJiUzIdqlyDA1bckoaiuaKd1eE973fuX71LbWDov+0xDZKB//zxhzozHm0dDrBmPMkU8WLyIyTOSm5GKx7K7bHe1SZIirKWuiYne9untIVE08Pgt3nJPNhQe6fawtWYvDOFg8anEUK+s/kQTq/wXmh5bt67/ty6JERAazPE9w6Dx1+5C+tq2oDAwcN1+BWqLHHetk0oJsdmwop63ZBwT7T88cMZPUuNToFtdPIgnUC6y1V1prXwq9rgYW9HVhIiKD1XjPeAxGI31In7LWsm19GTnHpZKUpgmMJbqmFYzC5w2wraiMmpYa3t3/LifmDI/uHhBZoPYbYya2bxhjJgD+vitJRGRwi3PFkZOUoxZq6VOVJY1U72vSw4gyIGTnekjPSWRzYSnr9q7DYlkyeugPl9fOFcE53wZeNsbsBAwwHrimT6sSERnkclNyNXSe9KltRWUYh2HiPAVqiT5jDNMKRlH46HbKN28iNTaVGRkzol1Wv4mkhXotMAm4MfSaAhT2ZVEiIoNdnieP4rpiAjYQ7VJkCLLWsr2ojLFT04hPjol2OSIATFk4EofDULMJFucsxulwRrukfhNJoH7NWttqrX3HWvu2tbYVeK2vCxMRGczyUvJo9jVT3lQe7VJkCCorrqNufwvH5ethRBk44pNjyJgWy9h9M1kycvj0n4YeunwYY0YCo4F4Y8zxBLt7AHgADXYpItKDvJQDI32MTBwZ5WpkqNm+vhyHyzBh7oholyLSSXXuLuLfH8W4qvHRLqVf9dRCfQZwFzAG+EWH19eB7x3rGxtjnMaYt4wxz4S2040xLxhjtoWWacf6HiIi0ZLryQU0dJ70vkDAsm1DGeNnZBCboGkhZGBZ53yB1rgGSooaol1Kv+pppsQHrbXLgaustadYa5eHXudZax/vhfe+CdjSYfsWYJW1dhKwKrQtIjIojYgfQZI7SYFael3pthqaats0mYsMOPVt9by9fxPuqU3sfr+ShurWaJfUbw7bh9pa+1hvv6kxZgxwNvCHDrvPAx4MrT8InN/b7ysi0l+MMeSlBB9MFOlN24rKcMU4yJ2l7h4ysLxR+gZ+62fe0glYCx+8Xnr4i4aISB5K7Au/Ar4DdHz8PdtaWwoQWnY5DpAx5npjTJExpqiioqLPCxUROVq5nly1UEuv8vsD7NhYQd7sEbhjh88ICjI4rC1ZS7I7mYVT55EzKZUt60qxARvtsvpFt4HaGHNxaJnXm29ojDkHKLfWbjia6621v7PW5ltr8zMzM3uzNBGRXpWXkkdZUxlN3qZolyJDxJ4Pqmlp9Kq7hww41lrWlqxlUc4iXA4X05eMoq6imb3ba6JdWr/oqYX6u6Flb3f5WAKca4wpBv4BnGKM+StQZowZBRBaaqwpERnUclNyAdTtQ3rNtvVlxMS7GDc9I9qliHSyo2YHZU1lLMkJzo44YV4WMXFOthQOj24fPQXqSmPMy0CeMebpg19H+4bW2u9aa8dYa3OBS4GXrLWfBZ4GrgyddiXw1NG+h4jIQJDnOTB03sF8VVUE2tr6uyQZxHxePzs3VTDh+Eyc7mj12BTp2tqStQDh6cbdMU4mLchmx8ZyWpt90SytX/Q09fjZwDzgIYLD5fW1O4F/GmM+D+wGLu6H9xQR6TPjPONwGMchLdS+6mq2n3IqAAn5+SQWFJC4pIDYyZMxxnRxJxHY/V4V3hY/k/I11bgMPGv3ruW41OM6jbs/rSCH99fsZdv6MmYuHR3F6vpet4HaWtsGvG6MKbDWVhhjkoO7ba8NLGitfQV4JbReCZzaW/cWEYm2GGcMo5NGH9JC3bhmDbalBc8559CyeTPlP/85AM4RI0hcvDgYsAsW485WP1k5YFtRGfHJbsZM0TQNMrA0eZvYWLaRy6dd3ml/Vm4y6TmJbFlXOnwDdQfZxpjngXTAGGMqgCutte/1bWkiIoNfXkreIYG6YfUanBkZ5Pz8ZxiHA29pKY3rXqPxtddoXLeOun//G4CYiRPD4TphwQk4kxKj8RFkAGhr8VH8zn6mFozC4VR3DxlY1u9bjzfgDXf3aGeMYVrBKAof3U5lSQMZo5OiVGHfiyRQ/w74hrX2ZQBjzLLQvoK+K0tEZGjI8+TxRukbBGwAh3Fg/X4a16whadkyjCMYjNyjRpF64adIvfBT2ECA1q1baSxcR+O6ddT8859UP/QQuFzEz50TDNiLFxM/axbGFck/4TIUFL+zH583wKR8/dZCBp41JWuId8UzL2veIcemLBrJa0/sYMu6Uk68eFIUqusfkfxrnNgepiHYTcMYo2YSEZEI5Kbk0upvpbSxlNFJo2l+5x38tbUknby0y/ONw0Hc1KnETZ1KxuevIdDaSvNbb4UD9v5772P/PffiSE4mYeEJJBYUkFRQgHv8ePW/HsK2FZWTlBbLqIkp0S5FpJP24fIWjlxIjDPmkOPxSTHkzRnBh2/sY/EFE3G6huZvWCIJ1DuNMd8n+HAiwGcBzVQgIhKBvJTgSB/FtcWMThpN45o14HCQWBDZL/kcsbEkLlpE4qJF8M1v4KuupumNN8IBu+HFVZQB7pwcEgoWk1RQQMLixbjS1M92qGhp9LL7/UpmLx+DceiHJhlYdtfvpqShhKtmXNXtOdMKctixsYJdb+/nuPlD86HaSAL1NcAPgcdD26uBq/usIhGRISTXkwsEh85bMnoJDa+uJn7uXJypqUd1P1daGp4zz8Rz5plYa/Hu3k3junU0rnuN+udfoPbRx8AY4qZNI3FJqHvI/Pk4YmN770NJv9q5qYKA32oyFxmQDh4urytjp6eTmBrLlnWlwzdQW2urgRv7oRYRkSEnPS4dT4yHXbW78O3fT8v775P5tZt65d7GGGLGjydm/HjSLrsM6/PR8v77wYBduI7KBx6k8vd/wMTGkjB/fjBgFxQQO2VKuP+2DHzb1pfhyYwnc1xytEsROcTakrXkenIZmzy223McDsPUxSPZ+J+PaKhuISktrh8r7B96okVEpA8ZY8hLyaO4rpiGNcGWnKSlXfefPub3crmInzOH+DlzGPGlLxFobKSpqCjUgr2O8v+5K3ie240jORlHchLOpGQcyck4k5NwJPWwLzkZR1JoX3IyJjZWfbb7QVNdGyUfVjPvTPWRl4GnxddC0b4iLpx84WHPnVYwig3PfcQHr+0jf0Vu3xfXzxSoRUT6WK4nl3V719H4+mpcmZnETpvWL+/rSEwk6eSTSTr5ZAC8ZeU0vraOth078NfXE6hvwN8QXLYVfxTaV0+gsfHwN3e7cSYFw3X78rBhPCWF2Al5OBL1XHukdmwsx1rU3UMGpI1lG2nxt4SnG+9JSmYCoyensmXdXuafOX7IPQ9w2EBtjFlirS083D4REelaXkoe/972JPVr1uL5xCei1tLozs4i9fzzD3ue9fsJNDYSqK/H39AQXNbXE2hoCAfxQEP9IaHc+9FuWkLnBxq6mQPMGGImTCBuxnTiZ8wgbsYM4qZNU8juxrb1ZaTnJJKRM3TH75XBa03JGmIcMeSPzI/o/GlLcnjxz5vZu62G0UNsgqJIWqjvJTgF+eH2iYhIF3JTcplUAra+vs+6e/Qm43Ti9Hhwejy4j/IeNhA4EMpDAdxXVUXrBx/S8v77NL32OnVP/zv0hoaYvLxguJ4xnbjpwZczaXiHyPqqFkp31LLw3AnRLkWkS4V7C1kwcgHxrviIzp9wfCYxDzvZvG7v8AnUxpjFBCdvyTTGfKPDIQ/g7OvCRESGiryUPI7fGcA6HCQWLI52Of3COBw4k5NxJid3DuWf+ER41VteTsvmzbS8/z4t72+m6c03w7NEEnrgMq69FXvGDOKmT8OZPHwezNteVA7AcflDc1QEGdxKGkrYVbuLiydfHPE17hgnk04YyQevlbL0Uh+x8UOn53FPnyQGSAqd0/FfsDrgor4sSkRkKBmbPJZ5O6BmcjZOjyfa5QwY7qws3FlZJC9bFt7XPhJK8/vv07J5M00bN1L37LPh4wdC9vRQyJ4+ZL/TbUVlZI1PJjUrIdqliByisCTY87en4fK6Mq1gFO+vLmHb+jJmLh3dF6VFRbeB2lr7KvCqMeYBa+1H/ViTiMjQUlFNbpnlzcXJRDady/DlGjGi04OUAL7Kyg4t2e/TtOkt6lauDB93jxvXuU/29Ok4Uwb3jII1ZU1U7K5nyUXHRbsUkS6tLVnL6KTR5Hnyjui6rPHJZIxOZEvh3uERqDuINcb8DsjteL619pS+KkpEZChpXLsGgNdz27gyyrUMRq6MDJJOOomkk04K7/NVV9Py/oGQ3fLOu9Q/95/wcfeYMR26i0wnduJEXCNGYFyD41fM24rKAIbsJBgyuHn9Xt4ofYNzJpxzxA9ZG2OYVpDD2n9to7KkgYzRQ+NZiUj+ZfkXcD/wB8Dft+WIiAw9Da+upiUtkTcS9uEP+HE69BjKsXKlpZF04hKSTjzw62ZfdXWoJXtzuEW7/v/+78BFDgeujAxc2dm4srNxZ2fhyuq4noUrOxtHUlJUx3y21rJtfRmjjksZkhNgyOC3qWITTb6mI+7u0W7ywmzWPb6dLYWlnHjJpF6uLjoiCdQ+a+1v+7wSEZEhyHq9NK5bR0vBNLx2E3sb9jLW0/2MYnL0XGlpJC1ZQtKSA/+T99fW0rJ5M20ffYSvvBxvWRm+snK8u3fTVFREoLb2kPuYhATcoXDtys7CnZ0dDN5ZWcHgnZ0dbO12H+0YKD2r2ttI9b4mTr5scp/cX4Yvay1tgTZa/a20+dto83ez3t05of1vlb+Fy+Fi4aiFR1VHfFIMeXMy+fCNfSy+YCJO9+CfuTWSQP1vY8yXgSeA1vad1tqqPqtKRGSIaHrrLQINDSQuXQqNm9hVt0uBuh85U1JIXLyYxMVdj64SaG4+ELTLK/CVleErL8NbVo6vrIzmog3UVVSA19v5QmNwjsjAHWrhdmUHH7Ds1OKdnR2cVfIIW7u3ri/DOAwTjld3j+HKWkuzr5m6trrgq7Wuy/X6tvpw2O20DHQdlr0B7+Hf/DAMhlhnLCvyVpDoPvrx46ctGcWOjeXsemf/kOjaFEmgbu/y9+0O+yyggTFFRA6jcc0acLkYs2wFPHsPu2p3sXTMwB+LerhwxMcTM348MePHd3uODQTwV1d3auH2lZXhLQ+1du/ZQ/PGjfhrag651pmeTt6j/8KdkxNRPdZatheVMWZqGgmemKP9WDIAdAzFta21hw3HB2/7Ar5u720wJMckkxyTTLwrHrfDTawzllhnLAnuBGKdscQ4Y4hxxBxYd8Ycfn8E57iMq1e6RI2dlk5SWixb1u0dHoHaWntkj2+KiEhYw6urSZg/n/QRo0mLTWNX7a5olyRHyLT3vc7IIK6HaeMDra34ykNhu6wMb8leKn75S2qfeZYR118X0XuVF9dTt7+F/BW5vVS99JZmXzNVLVVUNldS2VwZXG8Jrle3VgdbjFvrO4Vjn+0+FDuMg+SYZDwxnvBrVOKoA9uxnm7Xk9xJOMzg7ibhcBimLh5F0XPF1Fe1kJw+uJ8XiGTq8QTgG8A4a+31xphJwBRr7TN9Xp2IyCDm3beP1q1byfr2t4DgBC/FdcXRLUr6jCM2lpixY4kZe6BLT8OqVdStXBlxoN62vgyHyzBhbmZflSkh1lrqvfVUNR8IxpUtld2G5iZfU5f3SXYnkxaXFg67OUk5hw3EnhgPie7EQR+Kj9XUxaMoWlnMh6+Xkr9icLffRtLl48/ABggPn7qH4MgfCtQiIj1oWL0aIDzdeG5KLq98/Er0CpJ+5zl7BWX//VNad+wgduLEHs8NBCzbNpQxfkYGsQl988DjUOcP+KlprekxGLcfq2quoi3Qdsg9DIa0uDTS49LJiM9g1ohZ4fWMuIxOy/S4dGKc6ppztFIy4xk9JZUt60qZf2YuxhG90XWOVSSBeqK19tPGmMsArLXNJprjCYmIDBINq1fjyhlFzHHByTnyPHk83vI4ta21pMQO7olHJDLJZ5xJ2U/vpG7lc2R+9YYezy3dXkNTbRuT8rN7PM9aizfgpcXfQquvNbxs9XdeB3A5XLidblwmtHS4wutu4w7vczs6L/uy5dQf8NPib6HZ1xx+tfhaOi07HfO30Oxt7vaajuu1bbUEbOCQ93Q5XMFQHArCk1InkR6f3ikYt6+nxaZpaMt+NK0ghxf/vJmSbTWMmZIW7XKOWiSBus0YE0/wQUSMMRPpMNqHiIgcyra10bTuNTyf/GT4AZ7clFwAiuuKmZM5J4rVSV9q70qwv2k/lbaSmNmTKH3qX7x+1jhaQ8OOtfhaDgnA8a/lkeAcxd2VP6Ll/5oOhOUO57ev2+D/kvuM0ziD4buLsH3w8uB9BkOrv7XbYNxVq/DhxLviiXfFE+eMCy5dwWVaXBo5rpzw8ZTYlM4hOdSa7InxRHVscenexOMzWf0PF1sK9w75QP0D4D/AWGPM34AlwFV9WZSIyGDXtHEjgaYmkk4+MKJHXkqwj+Cu2l0K1INQx6Bc3lxORVMFFc0VXS5b/C3h604bFeD6twP8v8e/x0fZnUNdjCOGWFcs8SaBc4rzKc/aSZVvP7HOWBLdiaTHpxPnjCPWGUucKy48kkP7epwzjlhXbPicjuuY4Ix2voAPn/WF172Bzsuu9nVcRnJ+s685fCxAgHhnMPRmJWSFw2/HIBzvPGg7tJ7gSgjvCy+dcQrDQ5grxsnkBdlsea2UpU3eQdvdKZJRPl4wxmwEFgEGuMlau7/PKxMRGcQaVq/BuN0kLjww8cHopNG4HC6Ka4ujV5gcIpKgXN5Uzv7m/Z2CcrsEVwJZCVlkJmQyc8RMsuKD65nxmWTEZxBf4IUXvsDdvgtJvuhL4RAc64wNd6346P1Knnnlba4+70ImzP1if38FIlE1bcko3ltdwrb1Zcw8eUy0yzkqkYzycQHwkrX22dB2qjHmfGvtk31dnIjIYNWw+lUSFuTjSDww8YHL4WJc8jgNndePAjbA3oa97GnY02VAjjQoz8qc1Skod1xGMrnF7oIltL24luzv3t5la+v29WXExLsYPyOjVz63yGCSOS6ZjNFJbFlXOnQDNfADa+0T7RvW2hpjzA+AJ/usKhGRQcxbUkLb9h2kXnTRIcfyUvLYWbszClUNfY3eRrZVb2Nr9Va2Vm/lw6oP2VazjUZvY6fzejMoR8qzYgWl3/0uLW+/TfzcuZ2O+bx+dm6qYMK8rCExBbPIkTLGMG3JKNb+cxv79zQwYkxStEs6YpEE6q7+647kOhGRYalhzRrgwHB5HeWl5PHqnlfxBry4HYOzr2C0BWyAkvqSYGiu/jAcnvc07Amfk+xOZlLaJD454ZNMTp9Mrie3T4JypJJPO5V9t7mpXbnykEC9+70q2lr8TMof/LPFiRytKSeMZN3j29mybi8nXTI52uUcsUiCcZEx5pfAbwiO9PFVguNSi4hIFxpeXY17zBhi8g6dqCDXk4sv4KOkviQ86od0r6GtgW0129hadSA8b6veFp5kw2AY7xnP9IzpnH/c+UxJn8LktMmMShw1oB5kcyYnk3jyUuqf+w/ZN9+McR4Ylm1bURlxSe5BPcKByLGKS3IzYU4mH76xj4ILjht0v62JJFB/Ffg+8Eho+3ng1j6rSERkEAu0tdH4+uukXnB+l4GufaSP4rpiBeoOAjbAx/Ufd+qusbV6KyUNJeFzkmOSmZw2mfOPO5/JaZOZnDaZ49KOI94VH8XKI5eyYgUNL66iqWgDiQtPAKCtxUfxO/uZungUDufgChAivW1awSi2byhn1zv7OW7+4PqNTY+B2hjjBJ6y1p7WT/WIiAxqTevXY5ubSeyiuwccGIt6V+0ulo1d1n+FDSD1bfXh4Ly1eitbq7ayrWYbzb5mABzGwXjPeGaOmMmFky4Mh+eRiSMHVKvzkUpatgwTH0/dypXhQF387n583gCTFvQ8mYvIcDBmWjpJabFsKdw7tAK1tdZvjGkyxqRYa2v7qygRkcGqcfUaTExMp+HyOvLEeMiIyxhyI31Ya2nyNVHdUh18tVZT01rTaXt/8362V29nb+Pe8HWeGA9T0qfwqUmfYkpasLvGhNQJg6bV+Ug4EhJIXr6c+uefZ+St/4Vxu9m2vpzE1FhGTdTMmSIOh2Hq4lEUPVdMfVULyelx0S4pYpF0+WgB3jXGvACEH5W21t7YZ1WJiAxSDatXk3DCCTjiuw+EeSl5FNcV919RR8EX8FHTWkNNSw3VrdWdgnHHZU1rDVUtVdS01HQ7A57L4SItNo30uHTmZM7h4ikXh1udsxOyB3Wr85HynL2CupUraXz9DVzzFrL7/UpmLR+DcQyf70CkJ9MKRlG0spgPXitlwdmHPocyUEUSqJ8NvUREpAdtH39M265dpF12WY/n5abk8uJHL/ZTVZ1bj8MB+KDW4/b19uN1bXXd3i/ZnUxqXCppcWlkJ2QzNX0qabFppMWlkRqbSnpcOqlxqaTHBpdJ7qRhFZp7knjSSTiSk6lbuZIaxwQCfsukfHX3EGnnGRHP6ClpfPBaKfln5Q6aHzYjmSnxQWNMPDDOWvthP9QkIjIoNaxeDUDS0pN6PC/PkxcOtGlxRz6yQ5u/LRx+q1urD2lF7rQ/FJi9AW+X93IZVzAIhwLwlPQp4XCcFpd2aFCOTcXt1HB/R8sRE0PyaadR/8ILbMu6CE9mPFnjk6NdlsiAMn3JKF7402ZKtlYzZmp6tMuJSCQzJX4SuAuIAfKMMXOBO6y15/ZxbSIig0rD6tW4x48jJje3x/PaH0wsrivGE+Ohtq02HIrDyw5dKQ7ef/BEJR15YjzhIDwqaRTTM6YHW5NjD4TilNgU0uPSSYtLU+txFHhWrKDimRcp+bCaeWfl6vsXOciEuZnEJrjYsq506ARq4HbgBOAVAGvtJmPM4OnUIiLSDwItLTS98WaXsyMerH3ovC+88AVafC1YbJfnxbvig0E41L0iNyWX1NjUcIvxwS3IKbEpuByad2ugS1y0kP3jl2Ax6u4h0gVXjJNJC7LZsq6UpU1eYhMG/m/FIvmX12etrT3oJ+iu//UXERmmmtavx7a0kHRy18PldTQmaQzXzrqW+rb6A+E4FJzbu1WkxqYS5xo8T7hL5IzbTUXeUhJr95GWprGnRboyfUkO771awrb1Zcw8eUy0yzmsSAL1e8aYzwBOY8wk4EZgXd+WJSIyuDSsXoOJjSVhwYLDnmuM4aZ5N/VDVTIQ1Ve1UOlNYcK+V2l4JRXPihXRLklkwBkxNomMMUlsLiwdFIE6kh+NvwrMAFqBvwO1wNf6sCYRkUGnYfWrJCxaiCNOrcrSs+1F5QDk+IupXbkyytWIDEzGGKYvGUXF7nr276mPdjmH1W2gNsbEGWO+Bvwc2A0sttYusNbeaq1t6a8CRUQGurbiYrwf7Sapm9kRRTraVlRG1vhkRp62kMZXV+OvH/hhQSQaJi8YicNl2FJYGu1SDqunFuoHgXzgXeAsgiN9iIjIQRpWrwFQoJbDqilromJ3PcflZ+NZsQLr9VL/4qpolyUyIMUluZkwN5MP39yH3xuIdjk96ilQT7fWftZa+/+AiwD9n0JEpAsNq1cTk5dHzNix0S5FBrjtG8oAmJSfRdzs2bhHj6ZO3T5EujWtYBStjT52vl0R7VJ61FOgDs8CYK319UMtIiKDTqC5maY33zzsZC4i1lq2ri9n1HEpJKXFYYzBs+IsGtetw1ddHe3yRAakMVPTSUqPZcu6gd3to6dAPccYUxd61QOz29eNMd3PSSsiMow0vvEGtq2NRHX3kMOo2ttIdWljp7GnPStWgN9P/f89H8XKRAYuh8MwdfEoPt5SRX3VwH2Er9tAba11Wms9oVeytdbVYd3Tn0WKiAxUjatXY+LjIxouT4a3bevLMA7DxHlZ4X2xU6cSk5enbh8iPZi2eBQAH7w2cFupNaK8iMhRstbS8OpqEhctwhETE+1yZACz1rKtqIwxU9NI8Bz4uxLs9rGCpvXr8ZaVR7FCkYHLMyKeMVPS2LKuFBsYmHMLKlCLiByltl278JaURDQ7ogxv5cX11O1vYVJ+1iHHPCvOAmup/7//RKEykcFh2pJR1Fe2sGfrwHzeQIFaROQoNaxeDUDSSXogUXq2ragMh9MwYW7mIcdiJ04kdupU6p5Vtw+R7kyYm0lsgmvAjkmtQC0icpQaV68m5riJuEePjnYpMoDZgGV7URnjZmQQm+Du8hzPihU0v/02bXv29HN1IoODy+1k8oJsdr5VQUuj9/AX9DMFahGRoxBobKRpfRFJJ6m7h/SsdEcNjbVtTF6Q3e05nhVnAVD33HP9VZbIoDNtSQ5Ot4PKkoZol3IIBWoRkaPQ+MYbWK9X/aflsLauL8cV4yB39ohuz4kZM4a4ObOpW6lALdKdzHHJXP3zJYyenBbtUg6hQC0ichQaXl2NIyGBhHnzol2KDGB+f4AdG8vJnT0Cd6yzx3NTVqygdcsWWnfu7KfqRAYfl7vn/46iRYFaROQIWWtpWLOahILFGA2XJz0o+aCalgZvp8lcupN85plgjFqpRQYhBWoRkSPUtn07vr2lJGl2RDmMbevLiIl3MX5GxmHPdWdnk5CfT93KlVg7MMfaFZGuKVCLiByhhtVrABSopRNrLX5fgLYWHy2NXhqqW9m5qYIJc0fgdEf2v1vP2Sto27mT1g8/7ONqRaQ3uaJdgIjIYNOwejWxkyfjHjky2qUMadZaAv5gSA34LH5/4MC6L7Tu77Devt/f8ZzQ9f4D5wb8wfsGfAH8geAyeMyGzztwfnDd3+GagD9YS+CgfYFuZnCLpLtHu+TTT2ffj35M3crniJs6tbe+ShHpYwrUIiJHwN/QQNOGDWRcfVW0SxlwrLW0tfhprmujqa6VpjovTaH15ro2mhu8+LyBYJDtFHa7D8W9zTgMDqfB6TQ4nA4cToPDFVzvuM8Z2ueKceBwukLbHc8zOFyhc9vv08W+uCQ3Y6enR1yfKz2dxMWLqVu5ksyvfw1jTK9/ByLS+xSoRUSOQONrr4HPR+IwmR3RWou3xR8KxgdezfUHbYeWfl/gkHsYhyE+yU18cgyuGAdOlwN3rJPYxOC602lwuhw4QusOtwOn0xEMsa7QujsUZl2OcNh1ug+61hVaD+1rfzlcJhxyjWPgB1TPihWUfu97tLz7LvGzZ0e7HBGJgAK1iMgRaFy9GkdSEgnHHx/tUo6atRZvq5+m2jaa6g+E4aa64HZTbefA7Pd2EZINxCXHkOAJvtKyE0jwxBDvObCv/RWX6B4UQXagSD7tVPb9wE3dsysVqEUGCQVqEZEIWWtpWL2GxIICjLvrKaQHEmst9VUtVJU0Urm3gcqSRipLGqiraMbXRUjGQHySmwRPLAkeNylZKcH15BgSUmJISD4QmOOS3DgUkvuE0+MhcelS6p57jqybv4NxaPwAkYFOgVpEJEKtW7fiKysbkLMjtjZ5w4G5cm8jVSUNVJY00NbiD5+TlB5Lxugkxk5PP6QVOcETq5A8gHhWnEXDqlU0b9hAwoIF0S5HRA5DgVpEJEINq1cDkHhi9PpP+30Bqvc1BYNzSbDVuWpvAw3VreFzYhNcpOckMnnhSDJGJ5GRk0j66CRi4/VP/mCRvHw5Jj6e2pUrFahFBgH96yoiEqHGV1cTO20a7uysPn8vay31lS1U7g22OleFWp5r9jWFh2dzOA1pIxPJmZRKxugk0nMSGTEmicTUWI0OMcg5EhJIXr6M+v/8HyP/678wLv3vWmQg03+hIiIR8NfV0fTWW2Rce22v37ul0UtVhz7O7a3OHbtrJKfHkTE6kdzZIxgxOon00YmkZifgdKp/7VDlWbGCupXP0fj6GySduCTa5YhIDxSoRUQi0LjuNfD7SVp67N09rLVsevFj9nxQTWVJA401nbtrZIxOYsrCkaSPTgp32YhRd41hJ/Gkk3AkJVG3cqUCtcgAp3+hRUQi0LB6NQ6Ph/g5c475Xjs2VrDuse2k5yQyekoqGTmh4Dw6Ud01JMwRG0vyaadR/8ILBG7/AY6YmGiXJCLd6PdAbYwZC/wFGAkEgN9Za39tjEkHHgFygWLgEmttdX/XJyJyMGstDWtWk7ik4Jj7svr9AV5/cgfpOYl8+tYTNKqG9Miz4ixqn3ySxrVrST7llGiXIyLdiEbnOx/wTWvtNGAR8BVjzHTgFmCVtXYSsCq0LSISda1btuCv2E/S0pOP+V5b1u6ltqKZxedPVJiWw0pcvBhnSgp1z66Mdiki0oN+D9TW2lJr7cbQej2wBRgNnAc8GDrtQeD8/q5NRKQr7cPlJZ104jHdp63Fx5vPFjPquBTGz8rojdJkiDNuN8lnnEH9Sy8RaGqKdjki0o2oPh5ujMkFjgfeALKttaUQDN1Al+NSGWOuN8YUGWOKKioq+q1WERm+GlavIW7GDFwjRhzTfd5e9THNdW0UfOo49ZOWiHlWrMA2N9Pw6qvRLkVEuhG1QG2MSQIeA75mra2L9Dpr7e+stfnW2vzMzMy+K1BEBPDX1NC8adMxz47YXN/GW8/vZsLxmYyckNJL1clwkLAgH2fmCOpWqtuHyEAVlUBtjHETDNN/s9Y+HtpdZowZFTo+CiiPRm0iIh01rlsHgQCJJx3bcHlFK4vxeQMsOm9CL1Umw4VxOvGceRYNr67GX18f7XJEpAv9HqhN8PecfwS2WGt/2eHQ08CVofUrgaf6uzYRkYM1vLoaZ0oK8bNnH/U9aiuaeW91CdOWjCJtZGIvVifDhWfFWdi2NupXrYp2KSLShWi0UC8BPgecYozZFHqtAO4EPmGM2QZ8IrQtIhI1NhCgYe1aEk88EeN0HvV93nh6Jw6H4YSz83qxOhlO4ufOxZ2To24fIgNUv49Dba1dC3T3NM6p/VmLiEhPWt7fjL+y8pj6T1fsrmfb+jLmnzmexNTYXqxOhhNjDJ4VZ1H5wIP4qqtxpaVFuyQR6SCqo3yIiAxkDatfBWNIPPHoh8t77ckdxCa6OP6M8b1YmQxHnhUrwOej/vkXol2KiBxEgVpEpBuNq9cQN2sWrvT0o7r+4y1VfLy5ivyzcomN7/dfCMoQEzttGjG5uer2ITIAKVCLiHTBV11N8zvvkLT06Lp72IDltSd2kJwex6yTx/RydTIcBbt9rKDpzTfxlmsgLJGBRIFaRKQLjWsLwVqSlh7dcHnbN5RTsbuehefm4XTrn1rpHZ4VZ4G11P/n/6Jdioh0oH/lRUS60LB6Nc70dOJmzjzia/2+AK8/tYOM0UlMOmFkH1Qnw1XscccRO2WKun2IDDAK1CIiB7F+P41r1pB44hKM48j/mXx/zV7q9rew+IKJOByaYlx6l2fFCpo3bcJbUhLtUkQkRIFaROQgLe+9h7+mhqSlJx/xtW0tPopW7mL05FTGzTi6hxlFeuJZcRYAdf/5T5QrEZF2CtRHoWXLFrwlJQSam6Ndioj0gYZXV4PDQeKSgiO+dtMLu2mu97L4guMITgwr0rtixo4lbvZs6p5Vtw+RgULjOB0hGwiw66KLwe8HwCQk4EpLw5mejjM9DVdaOs70dFzpaTjT0nFmpONKD+1LS8MkJOh/siIDXMOaNcTPnn3Ek2c01bXx1osfM3FeJtl5nj6qTiTYSl1+589o3bWL2DzNwCkSbQrUR8paxtx7D77KSvxV1firqvBVVwXXK/bTunUb/qoqbGtrl5eb2NhwuHZmZBwI3u0hPD0dZ1paMIRnZOBITFQAF+lHvspKWt59l8ybbjzia4ue3YXfG2DReRP7oDKRAzxnnUX5z35O3XPPkfnlL0e7HJFhT4H6CBmnk+RTTunxHGsttqkJX3U1/spKfFWhwF1dhe+gEN62cye+6mpsU1PX7+d2h1q/0w+0hKemdn6lBZeu0LZawUWOXuPatQAknnRk40/XlDfx/pq9zDgxh9TshL4oTSTMnZ1Nwvz51D27khFf+pL+zReJMgXqPmCMwSQmEpOYCGMim9Ah0NwcDNrh4N0xhFeFW8Pb9uzBX1NDoK6u+/d3u3GmpR0avFNTO+xPCe9zpaXh8HiOajQDkaGm4dXVOEeMIG76tCO67o2nd+JwGfLPzu2bwkQO4jl7Bft+eAetW7cRN2VytMsRGdYUqAcIR3w8jtGjcY8eHdH51ufDX1uLv6am86u6Gn9NDb7wdg2tO3aEj7f3/T60AAdOj6eb8B1sBXePHIk7Jwd3Tg6OBLXAydBjfT4aCgtJXr78iH7ALP+oju1F5eSvyCUxJbYPKxQ5IPn009n3459Qt3KlArVIlClQD1LG5cKVkYErIyPia6y1BOrruwzhvk7bNXj37aPlgw/wV1d32R/cmZaGe/TocMB2jx6Ne3ROeJ8zObk3P65Iv2h+510CtbUknRx5dw9rLese30FckpvjPzGuD6sT6cyVkUHiokXUrVxJ5tduUrcPkShSoB5GjDHBVmiPB8ZF/j/+QHMz/upqvPv24S0pwVuyF+/evXhLSmjdto2GV189JHQ7kpMPBO4ugrczNVX/+MuA07D6VXA6SSyIfLi8jzdXUfJhNSdeMomYeP2TKv3Ls+IsSv/rVlree4/4WbOiXY7IsKV//eWwHPHxOOLjcefkwLx5hxy31uKvrAyH7OAytP7xxzS9/jqBgx66NAkJuHNGdQrcMaGlKycH14gR6tMt/a5x9Rri587FmZIS0fk2YFn3xA48I+KYeVJk3bVEelPyaadRevsPqXt2pQK1SBQpUMsxM8bgGjEC14gRxM+efchxay2B2tpg0O4Yuvfupa2khJa338FfW9v5njExuEeNwj06h5jjjiOxoIDEBQtwJCb218eSYcZbXk7L5s1kfv3rEV+zdX0ZlXsa+MQ103G69QOg9D9nSgpJJ55I3XPPkfWdb6shQiRKFKilzxljwg83xk2f3uU5/oZGvHtLDg3dJXupeeSfVP/lIXC7SZgzh8QlBSQWFBA3cybG6eznTyNDVeOa4HB5SUtPiuh8vzfAG0/vZMTYJCblZ/dlaSI98qxYQcPLL9O8cSMJ+fnRLkdkWFKglgHBmZSIc/Jk4iYf+qR6oLWV5o0baVy3jsbCdVT8+h4qfn0PDo+HxIULgwF7yRJixo6NQuUyVDSsWYMrM5PYqVMjOv+91SXUV7aw7PI5GIeeB5DoST5lOSYujrqVKxWoRaJEgVoGPEdsLImLF5O4eDF885v4qqtpeu01GgoLaVz3GvUvvACAe+zYYNeQggISFy2MuB+siPX5aCwsJPmM0yN6WLa12UfRymLGTE1j7LT0fqhQpHuOxESSli2j7j//R/b3vodx6X/tIv1N/9XJoONKS8OzYgWeFSuw1tK2qzjYer1uHXXPPEPNI4+Aw0HczJkkFiwmsaCAhLlzMTEx0S5dBqjmTZsI1NeTFOHsiJte2E1Lo5fFF0zUaDUyIHhWnEX9f/5D4xtvkLRkSbTLERl2FKhlUDPGEDshj9gJeaR/9nKs10vzu+/SuLaQxnXrqPz9H6i8//9hEhJIXLAg3P86ZqKCkBzQ8OpqcLlILFh82HMba1vZ9OJujsvPImu8px+qEzm8pKVLcSQmUrdypQK1SBQoUMuQYtxuEubNI2HePDJv/Cr++nqa3ngj3P+64dVXAXBlZx/oHlKw+IgmyJGhp2HNGhKOPz6iCYnWP1tMwGdZeO6EfqhMJDKOuDiSTzuV+hdeJPCDH+DQb+RE+pUCtQxpzuRkkk87jeTTTgOgbU8JjeuCfa8bXnqJ2ieeACB26tRwwE7In48jLi6aZUs/8paV0frBB2R965uHPbemrInNa/cyc+loUrMS+qE6kch5Vqyg9qmnaVxbSPIpy6NdjsiwokAtw0rMmNHEXHIJaZdcgvX7adm8Jdz/uvqhh6j6058wMTHEz59H4sJFuDIzcSQl4UxOwpF04OVMSsLEx6vbyDGwXi++/fvx7tuHr7wCExuDOysLV1YWzvT0fhtPt2H1agASI+g//fpTO3C5HeSvyO3jqkSOXOLixThTUqhbuVKBWqSfKVDLsGWcTuJnzSR+1kxGfOF6Ak1NNBUV0VgYDNgVv/pVzzdwOoPhOjERR3JyOGiHQ3c4hCfjSEoMHUs+NKDHxvbL5+1PgaYmvGVl+MrK8ZXtw1tWjm/fPrzlZfj2leErK8O3fz9Y2/UNXK7gZEFZWbiyMsNB25UZWob298YU9o2r1+AaOZLYyZN6PG/frlp2bKxgwTl5JHj063QZeExMDMmnn07ts88SaG7GER8f7ZJEhg0FapEQR0ICSUuXkrQ02FLpb2jAX1NLoLGBQEMD/vp6Ag2NBBrqg9sNDQTqGw6sNzTg278ff/Gu0HkN2NbWw76vcbuDwTo5FLwTO7aGh4J4YhKOxMSD9oW2E5NwJiViEhL6vMU8POtlWTAUe/ftw1dWjrdsXzgoe8vKCNTVHXKtw+PBnZ2NKzub2KlTcGdl4xqZHdyXlYVta8NbXo6vvBxfeUVoWY73o900ry86ZDbN9u/OlZnZIWRnHRrCs7JwJCd3+d3YtjYa163Dc/bZPX531lpee3wH8clu5p6m8c5l4PKcvYKaf/2LhldfxXPmmdEuR2TYUKAW6YYz1OJ8LAJtbQQaGwnU13cK3p0DegP+htB6fT3+hnq8+/YFz2sMBfO2tsO/mTGdQrcj8aBwnpjYOaAnJeFITOjUqm5cLnwVFeGg3FXr8iE/JBiDc0QG7uyRuMeNI2HBAlwjR+LOzsKVPRJXdhbu7GwcCYfvc9xTe1qgtRVfxYGg7SuvwFcRCt3l5bTu2EHja68RqK8/9KuJiwsHbVfmgbAdaG4h0Nh42NkRP3qvkr3balh66WRi4vTPpgxcCQsW4BwxgrpnVypQi/Qj/Z9BpA85YmKCT9unpR3TfcLBPBSwD4TzDvsaQ/saG8NBPdDQgK+iHH+H7W67WXTBuN24Qq3K8TNm4jrlVNwjs8P73NnZuDIzMW73MX2+SDhiY4kZM4aYMWN6PC/Q1BQO3t6Ord2hfa1bPqDh1dXYpqbgZ4yPJ2FR98PlBQKW15/cgScznukn5vTqZxLpbcbpxHPmmdT885/4GxqOuVFARCKjQC0yCPRWMLfWYpubO4TxhnBLuD/UEu7KzAwG5ZEjcaalDboHLx0JCcSMH0/M+PE9nudvaMRXXo4jNgZnUmK35219cx+VJY2cfu0MnK7+eVBS5Fh4Vqyg+q9/Zf+99xE3axbG5cK4XcEZFF0ujPOgbZcb43IGz3O5wOUOHzdOJ7jdwfV+elBYZDBSoBYZRowxmISEYPeLrGhXE13OpEScSXk9nuPz+nnj6Z1kjkvmuHnD/AuTQSN+7hxixo+n6sEHe/fGDkeHEN75hTsU1F0ujNt94BUTc+j6Me1zY9wHrccEz3HExPTLsyQiXVGgFhHpxnuvltBQ1copV0zDOPQ/aRkcjMNB3uOP4du/H+vzhV+0r3tD2/7O29bnBb+/87bPh/X5O297fVi/H+vzBu/Tfn77Pq83uK+tLfgbMG8beL0E2tqw3uBx29a+bAOfr/c+vNuNKy0NZ0bGgWV6emiZhjM9A1dGenh/JM92iERCgVpEpAutTV6Knitm7PR0xk5Nj3Y5IkfEkZhITGL3XZkGEhsIBAN5e+AOL71Yb9uhy+6OtbXir63DV1WJv6oaX1Ulbbt346uqCj8zcTATF9chcKfjTE8PBu724J2egTM9DVdGBs70dM1AKd1SoBYR6cLG53fT2uhj8fkT++T++2pb2N/Qij9gCVhLwAb7uAe3Q0MUWvDb4HFrLYEAoXODx8LLwEH7AgfWO94zuA2xbgfZnjhGpcQxMiWOEYmxONQCL1FiHA5MTAz0YVgNNDfjr6rCV1WFr7ISf2UV/uoqfJVV+Ksq8VVW4auooOXDD/FXVgZb2bvgSE4OBuz0DJwZ6cFlehrO1NTgSEqhLnWOhMQD24mhffHxwe4xMiTpT1ZE5CAN1a28s+pjJi3IJnNccq/f/5H1u/neE+/hD0Q+4kpfcjsNWckHAvaolLhQ4I4Pb2clx+Jy6qE0GZwc8fE4Ro/GPXr0Yc+11gZHUqrqHLjDAbyyEl9VFd7dH9O86W38VVUQCERUh4mNPSh4J3QO3aFjptPxxNDxgwJ66KWQPjDoT0FE5CDrn91FIGBZeO6EXr2vtZZ7Vm3n7he3snRyJp9bNB6HAYcxGANOhwmvO4wJbQcfJnUYg7PDMYeD0LYJ38Pp6HA8dI6j47Wh7aY2H2W1rZTWNrOvroXS2hbKaoPL9/fW8eKWMlq8nQOCw0BmciwjU+IZ6YntFLZHhsJ3lieWOLezV78zkf5mjMGZnIwzOfmwowVBsMtKoL6eQHMzgaam0BCnTcH1piYCTY0H1huD6za8HVz69u8PHws0NUU0KVi4Xrc7GMDj48MvkxCPIz4BR1wcjoR4THxoOz7+oO24A+sJHa8PtajHxuohzwgpUIuIdFC9r5EthXuZtWwMKZm9N3Wzzx/g+0+9x8NvfsyF88Zw54WzcEepxTcp1kVWchyzxqR0edxaS22zl9LaFvbVtbAvFLb31TZTWtvCzopG1u2opL7l0IfJ0hNjQgH7QGv3yJT4UKt3MHC7nY7Qy4TXnepyIoOUcThwpqTgTOn6v6ejYX2+bgJ6h9Dd1IS/sRHb3EygqTl4fnMTtrkl2MWlthbfvtIOx5qxzc1H+OFMKHAfGtbjpk4l47prcWVk9NrnHswUqEVEOnj9yZ24Yp3kr8jttXs2t/n56sMbeXFLOV9ZPpFvnT5lQLf6GGNITYghNSGGaaM83Z7X0OpjX2174G4OrncI4G99XENVYwSzfBJsAXc7HcQ4Hbg6BO0YlwOXI7TtchDjNLgcB9bdTgeuUDiPCV3j6rDuDt8vdJ3T4HIG7+nquM/hCG93PL/TvvbtrvY5zID+M5XBxbhc4Vby3mQDAWxrayisN2Obm8LrgeYmbEvLQeG867AeaGyk6qGHqPnnP0m/9vNkXHXVsB8xRYFaRCSkdEctOzdVsPDcPOKTe+cBqcqGVj7/YBHv7KnhR+fP5HOLDv8r5MEiKdbFcVlJHJfV/Wx8LV4/ZaGQXVbfSqvXj9dv8foDodeB9TZ/AK/P4guEtn3BY77AgfX2V3Ozv8t7eP0Wry94L1/A9ms/dafDhMN/e+iOj3GQNyKJyVlJTM5OZlJ2EpOyk0mK1f9+pf8ZhyPc4swxDl7UunMXFXffzf577qX64YfJvOGrpF74qWHbp9vYI5iGeKDJz8+3RUVF0S5DRIYAay1P/GIjNeXNfO5Hi3HHHntf4N2VTVz55zfZW9PMPZcdzxkzRvZCpXIk/IH2UG7xhQK3LxDA57eH7PP6gwHc5w/g7XDMHzhwvOOx4L272Rc6v7HVx46KBraXN9DqO9AvfXRqPJOzgyG7/XVcVhLxMeqDLoNL08a3KL/rLpo3biRmwgSyvvF1kk49dUj+xsYYs8Fam9/VseH5Y4SIyEGK362kdHstJ39mSq+E6fdKarnqz+vx+gP87dqF5OdqLOtocDoMTkf0Q6o/YNld1cTWsnq2ldX///bOPEqu6r7zn99bqqo3ba0NISQkkJ0RNkhiByfDOMHYYYiT2MFmPGYbg+OFY0w4x3E8OSbHnsnEGWfGDmPHOCZgGwzm4DlmDIHk2I5JWCSx2AIMCC1oAaEdeqmu5b135493q+pVdbXU3VXdVV39+5zzzr3vd++7fX/1qm993313Yev+IbbuH+SxbYcphLHQFoGT5ndXCe01S3o5ZVGvTvZUppViGDGYCxgYKTKYCxjMFRnIFRlI2JbOzXDZGcvo3bCelXd9n6Gf/YwDX/0b9n76Bro2bGDxzTfTvWF9q12ZNrSHWlGUWU8UGe750iaiMOKKL56L2+BkwUe3HuQT33+aed0p7rz2bE5d3Pyl95TOIAgjXj2crYjsA4NsfWOQnYeGCexwFUdgZX9PWWivWdLH25b0snphLylv5i1laIwhH0TkiiHZQshIMWSkEJIrxvFsKV6of14O69hSrkNXyqU75dKV8uj2XbrT8Xl3yqPLt/G0TUu5Nr9n89h8Nt6qicONEEWGoUJQVxDH8dg+kAsStmI570CuOGqVn7HoSbm8f/2JfOTcFZy2bC4mCHjz/h9x8Na/JTx4iL6Lf4dFn72J9OpVU+z19HCsHmoV1IqizHpefPx1fvbdl7jkundw6pmLGyrr/qf38rn7t7BmSR93XHM2S+ZkmlRLZTZRCCJePTzM1v2xwC6J7V2Hs+Vx4a4jrFoYC+01i+Me7bcv7WVlf8+4hGAYGQpBRD4IyQdROZ4rxmPQ88X4PLZHVXmq4jX580FUV+wmBfREpYcIdPux+O1KuXT58ZHx3bL4zXguxciQzQdkCyHZYshIwcYLIdlCMG6hWKJaoFcEd0l8d/lxPOU5GAMGU/attJGSobRZE2DTK2mx3Rhj4zYv1TZjr4/KtrisMDIM58OyMB7IFRnKB8f9fFOew5yMz5yMR1+XDTMeczJ+VdiX8ZnT5Y9K6814PPfaW9z15C4e+NXr5IOIdSfN4yPnruA/nr6MdJDnyJ13cvjvv0OUyzHvjz7Iok99Cm/Roond+DZDBXWTeWPHW7i+g592y4eXcnWnMUWZgQSFkLu++CTdc9N88HNnTnrcnzGGb/zLdv76kZe58NR+vvmfz2ROxm9ybZXZTj4I2XHQCm3bq/3K/kF2HcmWRZTvCqsX9tKb8aoFcVn4xqI3aMKETc8R0p5D2ndJuQ5p3yHtObHgLQnflBW+pR5h3yWTqpyX0srCOHFeClOu05QxuVFkyr3e2YTYHimEDBcCRhLiO7YlRLl9OBjOB+UyRmzeQhAhIghAYm15oRKH0jrxIFTSpZS3dF3JBtYuNeVQtf58d8qtEr1zykLYhmVx7JXzpb3mDSF6K1vkR8/u5a6Nu9l2YIg5GY8PnLmcj5y7gpO9Ioe+8U2O3nMPkkrRf/XVLLj2Wtzenqb9/elEBXUTMcbwzU/+vO7Tn+c7eAmRXRLayXM/5eJnXLyUg5/28NNx6KUcUpnR+b202/DrZ0VRxuaZf9rFEz/azu9/dj0nvn3+pMoII8MtD7zA957cxfvXLeOvP3jGjHwVr8xcRgoh2w8OlUX2tgOD5IoRaS9eejDtOaQ9txL3a86r4qVrXNJ+vJRhZoz8un64UsIYw6adR/j+xt08/Pw+iqHh3FUL+Mh5K3l3X543//brDP7jw7j9/Sz85CeYf/nliD+zOh1UUDcRExn2vHSEIB9RzAcUCxHFXEixEFLMhwT5OEyeF+rYmcDH7nhSFuOu35yn9IlS/p6YRNUT351y1L7eKsVHp5vE9YlgjLIAvJRDV1+Krj6f7r6UjafonuPH8TkpuvtSZPp8ffhQxkUUGYJ8yMhQgfv+8imWrJrLZTecMamycsWQz9zzLI+8sJ+P/9ZqPvfe39C3VYqizGoODeW576m93L1pF3uOjNDfk+KPzjqJD/UN4tx2K9lNm/BXrmDxZ2+i75L3zJgVQVRQtxnGGMJiFAvsOgI8aQ8KpXgs4MMJjv9qKokvfDlaev2EJOIVeymjVOVNFFDHVpu3WAgZGSoyMlAgO1hgZKBIGNT/HNI9XrXo7vPpmlMS4KmKMJ+Twk+7M+afeLZhjCEMovjBtVD7vxASFKKKrWD/bwqRDcNyWMpbvrYQEuSj6u+PwIe+cDYLl0984uCb2QIfu/Mpnt59lD+/dC3XvqszJt4oiqI0gygy/Ou2Q9z15C5++tIBwsjwW2sW8l/8fSy/73YKr7xC5ozTWXLzzXSffXarq3tcVFArHYUxhmIuJDtQYGSwwMhgMRbag4Vqm43ns6O3RwZwfceKb7/cy10R3j6ZXh/HdSpj2AQkHvyWGPM2+lycOnYnMYbOqXO9I6P+juNI/PfalPKDYflhMKqI2SpBmxDBudH2qrgVxUFh4pOWykOuUq4NnfKwq3golVNJSwzHWri8l6WrJ75l8N6jWa7+h83sPpzlf31oHZeefsKEy1AURZkt7HtrhHs37+GeTXt4YyDH0l6fm8w2Tv+nezEHD9B70UUs/pObSK9Z0+qqjokKamVWEwYRI4PFWHBXCe+417tst7ZoGndWOx4iIK7guA6OIziuVEI3FtxVaW51HnGcunbHEcR1RtscSfTkJsVuVG234USaDxGqBW9pTkHaKYtbr2wrzTOwwjchkqvz2Hwpd1ofPn79+gBX/8MmRooh377yLM5b3T9tf1tRFGUmE4QRP3vpAHdt3M2jrxwkHRa5aeBZLtz8EM5Ilrl/+AcsuuEG/CVLWl3VUaigVpRxYowhnw3iXu6hIiasLFtElFy+yIZ2faOkvfbcRKPt1EmvnNtllcI4HoURUWjiI0qGEWYMeym/iQxhuZxEWlSTbtOMYVTv7qgJtnZCrZcenacifEsC2Wn5+P9m8/i2Q1z/vafpy3jccc05vH2prjGtKIoyGXYfzvKDzbv54eY9FI4e5bpdv+C3X34Ux/Xov+pK+q/7GG5f+7SxKqgVRRkXxpiOEL1TxY9/+Ro33/crVi3s4Y5rzmHZvK5WV0lRFGXGUwgiHnnhDe7auIsdz23jmpce5qI9zxDNmcvST32S+Vd8GCeVanU1VVAriqI0yrcf3cF/e+hFzlm1gG9feRZzu2bWck+KoigzgW0Hhrh7426e/ufHufzZB9hw8BVyC5ey9KYbWfr7lyFO61bzUkHdZP7uF9vp8t140fR0vItQZQF1j56Up8tmKUqHEEWGLz/4Irc/tpNL33kCX738DDJ+8zZFUBRFUUaTK4b8ZMs+Nv7wIf79z+/llIHXObhsNXM+cyNn/N7vtORtqgrqJhJGhlP+7KFj5nEEetPxjkTlrTptPCm859jtPufU2drT0/WUFaXl5Iohf3Lfr3hwyz6uufBk/vzStfqwrCiKMs28sOcIT9x2N2sevJvF2aMc/cJ/54KP/sG01+NYgtqb7srMdFxH2Prl9zGYKzKYCxjIFRkYCRjMFWviAQMj1pYL2HMkW84/mKu/jFuS7pRbV4D3ZTx60z69aZfetEdvxo/DtEdvJg77Mh49aY9uX7dDV5TJ8tZIkeu/+xQbdx7hz373N7juN1fr+HKlvTEGhg/BkR3xURiqTivvplUbBztrun583NfbqABuyh7+OOKp4+dp4Wv+KSOefQ5REcIiRIEN7XkyXpuWPI/Ciq18hDYs1pzbIwwaz29C4ln1EXaWPvH3oHRea5tEPms/DTjNhehSeGtnN6ect6CVd64uKqgnQcpz6O9N09+bntT1YWQYylvhPVIR2SUBPiqeK3JoqMDOQ8MM5AKG8gGFMTY2SSICvalYaPekK2K7N119fqy00nna64wVGhRlPOx7a4Srb9/MjkNDfO3D63j/uhNbXSVFiTEGhvZXRHPVsRPyA62u4dQgbrXQ9tL1xbfUCu/E71bVb1jN79mxft/Gui5pN5EVnfUEcMJeJYqL43S+SYgDjpc4XHD8mnMv/ixL8eThpavzihOH8WYKdp1Xx96DUpw6tnr5pGI/Rj5HHOYLsGj19H5240AFdQtwHWFulx9Papo/uTLyQchwPmQ4HzBoRfZQvshQPmQoZ+O5gMF8wHA+sAI+DvcP5MppQ/lgXGsJ+66Q9lx8V/BdB991SHlO9XmtzYtttdekbNz3pBK3+eLrbR5bVnfKY363z/yeFH1pT4W9MqVs3T/IVbdvYjAXcMc153DhqQtbXSVlthFFMPQGHN4+WjAf2QHF4UpecWH+SliwGk46Lw4XrIYFqyAzz+ZJbG0r9QShJM7HitdeL2NfbyIrGgtWRBbqx4P8sdPrxgt17DYM8lS6yWHMH7dR9kSPfL20utfV5pNqoe/44Ho29CtC1U0lRGtNWu01o/Imy6s9Lwlgv1ocVx0d2MvfRqignqGkPZe057Kgp7FlZIwxjBTDisDOxQK8FB/KV45CEFEM46MQmHK8GEbkbdpIMWQgFyXymsQ1lfNgkpuneI4wrztVFtgLulPM7/GZ352Kj55K2vzuOL0vo5NElfGxccdhrvvuU2R8l3s/fh6nLZv4DoqKMi6iCAZes0J5e7VgPrITgpFKXseH+SfHQvnkd0H/KbFgXrAa5p4UC6q2IwX0tLoSijJtqKCe5YjEPcDdKY/F0/h3wygpyE1CcCfOw4hiEDFcCDg6XORotsDRbIEjw0XezBY4Mlxgx6Ehju4ucnS4MKZIdwTmd6eY1+2zoCfFPCu05/X4sSCvI8Tndvm4KsJnFQ89t48b7/klJy3o4s5rz2H5/O5WV0lpNqXxmjQaUn9Mcb0wyMGbu2KhfDjR23z0VQjzlbq56YpIPuXdNn6KFc3L7at1RVHaFRXUSktwHcF13KYtP2ZMPC69JLyPZAtWdFfE95vZIkeGC+w5kmXL3jc5OlykENYfiy4CczJ+eYiKZ4eteE48LMVzBM+tTvNdwXMqw1d8m1bK4zlO+drqPIm4I/ieQ9pz7IOOa484rmPZp4Y7HtvJX/zk12xYMZ/vXHUW87qncAOB3ADs2QR7N1cmjdUKsXq244YcOz1ZZplGXu9P8vrSZCcTVU9+MqGNH+s8iHt2q87DygSpMc+DGr9bhNcVC+SFa+Btl1SGZ/SfAn3L9JW8osxgVFArHYGI0Jfx6cv4rOgfX8+iMYZsIYx7vhM94EeHCxzJFnkrW6BQGqJSM3wliAyFIB7iEuQiCqGxeaqHtRSDiGIU28JJDnNJ4gh0pzy6rNDu8uOwJ+2V411WfPck4l0pl55EvFaod6VcUm5FrBtj4jcEYexn+QgrYemtQpW9Jq00FKg2LR9U3kiUhgKJUPWgMe645+A7yXH79sHGG31NKvEAU4p/69HtfOsXO3jP2iV8/Yr1zV9jevgQ7Hocdj8Bux6DN56LxaQ44GWoiM1aAUqdtImE9a5P2Ma9okOtvc41E1kRIjm+szxJqnTu2njNuZdKnNuxoFXnNl/VeU355YlN4/mcJhBC5bOtl8fxK2Oc+06oHsOsKErHoIJambWICD12FZPlk5wcOhGiyMQiO4wIwliwBlFEMTBWdFfs+WJEthCQLYSMFMI4XgzJ5sPYVozTsjZtKB9wcDBfZRsphuOacFrCdYS055Tr0ExKPfvJSalpzylPQvVdwQBBcriP/TySojuwDyfN5qPnreSW3zutOcN83txjBfTjcXhoa2z3MrD8bPjNm2HlBXE83dv431MURVFajgpqRZkmHEdIWWE5HRhjyCWEeVlol+LFkGzeivZinJYvRrZn1wpetyJ6K4LYimPXLa/MkrLDVKpWcild7zpNnRRqjKm8BQhNWXzXToIdPSm2JMjjh5iCffOwdG6GS05bOrmhNMbAoVfinufdT8QC+q09cVp6Lqw4F9b9J1hxASxbF68AoCiKonQcKqgVpUMREbrscI7+VlemiYgIKW/6HkyqiMJ4yEa5B/oJyB6K03oWw8rz4YIbYMX5sOQ0nUimKIoyS1BBrSiKMhbFHLz+TCygdz0eTyYsDMZp81bCmvfEInrlhfEYWR0fqyiKMitRQa0oilIiPwh7NsY9z7seh9eerixttujfwemXx+OfV5wPc3X3REVRFCVGBfVk+PlfEs9an4IZ41WzxZtZVhNWCwAqy3OV4uOY9T/ROIzerao8gz85k985ti25SkBpi9RRNq9O2TNk6SpjEkuPBdVLho2yJZcZC+rkSSxF1shKCvVWaijbmvC5GmOXRIsqy6qVw6hynoxHNXnLaTYcPmAF9GPwxha7Aocbj3k+57qKgO5e0Hj9FUVRlI6k7QS1iLwX+BrgAn9vjPkfLa7SaB79Svyjq3QoUhGOE3nYaObyZiWxF40hgkvieEYhNaK7RrRjakRvHdE8VWsJ6wociqIoSgO0laAWERf4P8DFwF5gs4g8YIz5dWtrVsMXj8bhVOy6VWtvWllN2CBizE0cSnHGkWe8cVtWUlxWiavk5g7HstX2YiY2hzAJwVrbk1myjfezndDnPo77muw1L/XyJnuJR9m8mt5hr+ZwjnNNYq3eUZ/lMTbLGNfmHEEdW508yQeZ5APNqDcIiTcOUhMf9dYiaa+X5kBmLix9p67AoSiKokyathLUwDnANmPMDgARuQd4P9BegrqEJIZVKIqiKIqiKLOSdhPUJwJ7Eud7gXOTGUTkeuB6ezokIi9PU91qWQgcatHfbhXqc+cz2/wF9Xm2oD7PDtTnzqeV/q4cK6HdBHW97t6qQZPGmNuA26anOmMjIk8ZY85qdT2mE/W585lt/oL6PFtQn2cH6nPn067+tttyBnuBkxLny4HXW1QXRVEURVEURTku7SaoNwNrRGSViKSADwMPtLhOiqIoiqIoijImbTXkwxgTiMingUeIl8273RjzQourNRYtH3bSAtTnzme2+Qvq82xBfZ4dqM+dT1v6K6Z2Aw1FURRFURRFUcZNuw35UBRFURRFUZQZhQpqRVEURVEURWkAFdQWETlJRH4uIi+KyAsi8hlrXyAi/ywir9hwfuKaz4vINhF5WUQuSdjPFJHnbNrXRdpz95dm+Swi3SLyoIi8ZMtpv+3iLc28z4n0B0Tk+en0Y7w0+XudEpHbRGSrvdcfaIVPx6PJPl9h/5e3iMjDIrKwFT4dj4n6LCL9Nv+QiNxaU1ZHtl9j+dzJ7dex7nOizLZtv6Dp3+2ObMOO43Pbt2GT8PdiEXna+vW0iLw7UVbr2i9jjB7xOPITgA023gdsBdYCXwH+1Nr/FPgrG18L/ApIA6uA7YBr0zYB5xOvq/2PwPta7d9U+gx0A//B5kkB/9rpPifK+0PgbuD5Vvs2Dd/rvwC+bOMOsLDV/k3x99oDDpT8tNff0mr/muRzD/Au4I+BW2vK6tT2q67PHd5+jXmfbXpbt1/N9rmD27Cxvtszog2bhL/rgWU2/g7gtURZLWu/Wv5BtusB/Bi4GHgZOCFx01+28c8Dn0/kf8TexBOAlxL2K4BvtdqfqfS5TjlfA65rtT9T7TPQC/yb/cdv2x+kJvq7B+hptQ/T5TPgAweJd8YS4O+A61vtTzN8TuS7muof4I5tv8byuU45HdN+Hcvnmdh+NcHnjmzDxvJ5prZh4/XX2gU4TNwh0tL2S4d81EFETiZ+AtoILDHG7AOw4WKbrd426SfaY28de1vToM/JcuYBlwE/ndoaN04TfP4S8FUgOx31bZRG/LX3FeBLIvKMiNwnIkumpeIN0IjPxpgi8AngOeINptYC35memk+ecfo8Fp3cfo2nnHl0Vvt1LGZU+wWN+dzhbVhdZmIbNgl/PwA8a4zJ0+L2SwV1DSLSC9wP3GiMGThW1jo2cwx729IEn0vleMAPgK8bY3Y0t5bNpVGfRWQdcKox5v9ORf2aTRPusUe8c+ljxpgNwBPA/2x6RZtIE+6xT/xjtB5YBmwh7s1uWybg85hF1LF1Svt1vHI6sf0a6/p1zKD2C5pynzu5DRvr+hnVhk3UXxE5Dfgr4OMlU51s09Z+qaBOYL989wN3GWN+ZM37ReQEm34C8XgkGHub9L02XmtvS5rkc4nbgFeMMf97SivdIE3y+XzgTBF5lfi16dtE5F+mvvYTp0n+HibuySr9AN8HbJjiqk+aJvm8DsAYs93E7w9/CFww9bWfHBP0eSw6uf06Hp3Yfo3FjGm/oGk+d3IbNhbrYGa0YRP1V0SWE9/LK40x2625pe2XCmqLnQn6HeBFY8zfJJIeAK6y8auIx/aU7B8WkbSIrALWAJvsa4lBETnPlnll4pq2olk+27K+DMwFbpyGqk+aJt7nbxpjlhljTiaeDLLVGHPRdPgwEZrorwH+H3CRzffbwK+nuPqToonf69eAtSKyyOa7GHhxqus/GSbhc106vP06Vlmd2n7VZaa0X9BUnzu5DRuLGdGGTdRfO3znQeK5L4+VMre8/ZquwdrtfhA3Kob4lcgv7fG7QD/xeLpXbLggcc0XiFcEeJnETFLgLOB5m3YrdkfKdjua5TPxU6Ah/kctlfOxVvs31fc5kX4ybTqpp8nf65XAo7asnwIrWu3fNPj8x/Z7vYX4x7i/1f410edXgSPAEHHPzlpr7+T2a5TPdH77Vfc+J9JPpk3bryn4bndyGzaWz23fhk3UX+C/AsOJvL8EFtu0lrVfuvW4oiiKoiiKojSADvlQFEVRFEVRlAZQQa0oiqIoiqIoDaCCWlEURVEURVEaQAW1oiiKoiiKojSACmpFURRFURRFaQAV1IqiKB2CxPybiLwvYbtcRB5uZb0URVE6HV02T1EUpYMQkXcQ7wK3HnCJ12h9r6nsJjaRslxjTNjcGiqKonQeKqgVRVE6DBH5CvHGBz02XAm8E/CAW4wxPxaRk4Hv2TwAnzbGPC4iFwFfBPYB64wxa6e39oqiKDMPFdSKoigdhoj0AM8ABeAnwAvGmO/bLXs3EfdeGyAyxuREZA3wA2PMWVZQPwi8wxizsxX1VxRFmWl4ra6AoiiK0lyMMcMici/xNsSXA5eJyM02OQOsAF4HbhWRdUAIvC1RxCYV04qiKONHBbWiKEpnEtlDgA8YY15OJorILcB+4AziCeq5RPLwNNVRURSlI9BVPhRFUTqbR4AbREQARGS9tc8F9hljIuCjxBMYFUVRlEmgglpRFKWz+RLgA1tE5Hl7DvAN4CoReZJ4uIf2SiuKokwSnZSoKIqiKIqiKA2gPdSKoiiKoiiK0gAqqBVFURRFURSlAVRQK4qiKIqiKEoDqKBWFEVRFEVRlAZQQa0oiqIoiqIoDaCCWlEURVEURVEaQAW1oiiKoiiKojTA/wcVJbxjBoS4uAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lineplot = pd.melt(rowtable,\n",
    "                  id_vars = ['year'],\n",
    "                  value_vars = ['Automatic', 'Automatic (pending)',\n",
    "                                'Not eligible', 'Petition', 'Petition (pending)'])\n",
    "\n",
    "plt.figure(figsize=(12,7))\n",
    "sns.lineplot(x='year', y='value', hue='expungable',data=lineplot)\n",
    "plt.ylabel('Percent of total records in that year')\n",
    "plt.xlabel('Year')\n",
    "plt.title('Expungability Outcomes by Year')\n",
    "plt.ylim(0,100)\n",
    "plt.locator_params(axis=\"x\", integer=True, tight=True, nbins=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3815cde-1a6c-4515-9ef4-83629febae2c",
   "metadata": {},
   "source": [
    "## How do these counts break down by race? <a name=\"q2\"></a>\n",
    "Race is coded in the data, but in an inconsistent way:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5728168c-34e4-4cd8-8fe4-e8b9059efde1",
   "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>Race</th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "      <th>cumulative_count</th>\n",
       "      <th>cumulative_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>White Caucasian(Non-Hispanic)</td>\n",
       "      <td>3221745</td>\n",
       "      <td>38.754869</td>\n",
       "      <td>3221745</td>\n",
       "      <td>38.754869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Black(Non-Hispanic)</td>\n",
       "      <td>2291063</td>\n",
       "      <td>27.559552</td>\n",
       "      <td>5512808</td>\n",
       "      <td>66.314421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>White Caucasian (Non-Hispanic)</td>\n",
       "      <td>1174202</td>\n",
       "      <td>14.124658</td>\n",
       "      <td>6687010</td>\n",
       "      <td>80.439079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Black (Non-Hispanic)</td>\n",
       "      <td>922448</td>\n",
       "      <td>11.096270</td>\n",
       "      <td>7609458</td>\n",
       "      <td>91.535348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>264701</td>\n",
       "      <td>3.184129</td>\n",
       "      <td>7874159</td>\n",
       "      <td>94.719478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Other(Includes Not Applicable.. Unknown)</td>\n",
       "      <td>99609</td>\n",
       "      <td>1.198212</td>\n",
       "      <td>7973768</td>\n",
       "      <td>95.917690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>White</td>\n",
       "      <td>93421</td>\n",
       "      <td>1.123776</td>\n",
       "      <td>8067189</td>\n",
       "      <td>97.041465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Asian Or Pacific Islander</td>\n",
       "      <td>80618</td>\n",
       "      <td>0.969766</td>\n",
       "      <td>8147807</td>\n",
       "      <td>98.011232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Black</td>\n",
       "      <td>65727</td>\n",
       "      <td>0.790640</td>\n",
       "      <td>8213534</td>\n",
       "      <td>98.801872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NA</td>\n",
       "      <td>50056</td>\n",
       "      <td>0.602131</td>\n",
       "      <td>8263590</td>\n",
       "      <td>99.404003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Unknown (Includes Not Applicable.. Unknown)</td>\n",
       "      <td>22741</td>\n",
       "      <td>0.273555</td>\n",
       "      <td>8286331</td>\n",
       "      <td>99.677559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Other (Includes Not Applicable.. Unknown)</td>\n",
       "      <td>16649</td>\n",
       "      <td>0.200273</td>\n",
       "      <td>8302980</td>\n",
       "      <td>99.877832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>American Indian</td>\n",
       "      <td>8180</td>\n",
       "      <td>0.098398</td>\n",
       "      <td>8311160</td>\n",
       "      <td>99.976230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Unknown</td>\n",
       "      <td>1441</td>\n",
       "      <td>0.017334</td>\n",
       "      <td>8312601</td>\n",
       "      <td>99.993564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Asian or Pacific Islander</td>\n",
       "      <td>445</td>\n",
       "      <td>0.005353</td>\n",
       "      <td>8313046</td>\n",
       "      <td>99.998917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>American Indian or Alaskan Native</td>\n",
       "      <td>59</td>\n",
       "      <td>0.000710</td>\n",
       "      <td>8313105</td>\n",
       "      <td>99.999627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>American Indian Or Alaskan Native</td>\n",
       "      <td>31</td>\n",
       "      <td>0.000373</td>\n",
       "      <td>8313136</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Race    count    percent  \\\n",
       "0                 White Caucasian(Non-Hispanic)  3221745  38.754869   \n",
       "1                           Black(Non-Hispanic)  2291063  27.559552   \n",
       "2                White Caucasian (Non-Hispanic)  1174202  14.124658   \n",
       "3                          Black (Non-Hispanic)   922448  11.096270   \n",
       "4                                      Hispanic   264701   3.184129   \n",
       "5      Other(Includes Not Applicable.. Unknown)    99609   1.198212   \n",
       "6                                         White    93421   1.123776   \n",
       "7                     Asian Or Pacific Islander    80618   0.969766   \n",
       "8                                         Black    65727   0.790640   \n",
       "9                                            NA    50056   0.602131   \n",
       "10  Unknown (Includes Not Applicable.. Unknown)    22741   0.273555   \n",
       "11    Other (Includes Not Applicable.. Unknown)    16649   0.200273   \n",
       "12                              American Indian     8180   0.098398   \n",
       "13                                      Unknown     1441   0.017334   \n",
       "14                    Asian or Pacific Islander      445   0.005353   \n",
       "15            American Indian or Alaskan Native       59   0.000710   \n",
       "16            American Indian Or Alaskan Native       31   0.000373   \n",
       "\n",
       "    cumulative_count  cumulative_percent  \n",
       "0            3221745           38.754869  \n",
       "1            5512808           66.314421  \n",
       "2            6687010           80.439079  \n",
       "3            7609458           91.535348  \n",
       "4            7874159           94.719478  \n",
       "5            7973768           95.917690  \n",
       "6            8067189           97.041465  \n",
       "7            8147807           98.011232  \n",
       "8            8213534           98.801872  \n",
       "9            8263590           99.404003  \n",
       "10           8286331           99.677559  \n",
       "11           8302980           99.877832  \n",
       "12           8311160           99.976230  \n",
       "13           8312601           99.993564  \n",
       "14           8313046           99.998917  \n",
       "15           8313105           99.999627  \n",
       "16           8313136          100.000000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "courtdata.stb.freq(['Race'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83ea7e83-69c2-48cc-9b6d-574dd28dc52f",
   "metadata": {},
   "source": [
    "We have to combine and collapse these categories to get a clear picture of how expungability outcomes depend on race:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f806f042-9b24-4611-a6e8-6016c58dae93",
   "metadata": {},
   "outputs": [],
   "source": [
    "replace_map = {'Black(Non-Hispanic)':'Black (Non-Hispanic)', \n",
    "               'White Caucasian(Non-Hispanic)':'White (Non-Hispanic)', \n",
    "               'Other(Includes Not Applicable.. Unknown)':'Other',\n",
    "               'White Caucasian (Non-Hispanic)':'White (Non-Hispanic)',\n",
    "               'Unknown (Includes Not Applicable.. Unknown)':'Other', \n",
    "               'NA':'Other',\n",
    "               'Asian Or Pacific Islander':'Asian or Pacific Islander', \n",
    "               'Black (Non-Hispanic)':'Black (Non-Hispanic)', \n",
    "               'White':'White (Non-Hispanic)',\n",
    "               'American Indian':'American Indian or Alaskan Native', \n",
    "               'Unknown':'Other',\n",
    "               'Other (Includes Not Applicable.. Unknown)':'Other', \n",
    "               'Black':'Black (Non-Hispanic)',\n",
    "               'American Indian or Alaskan Native':'American Indian or Alaskan Native',\n",
    "               'American Indian Or Alaskan Native':'American Indian or Alaskan Native', \n",
    "               'Asian or Pacific Islander':'Asian or Pacific Islander'}\n",
    "courtdata.Race = courtdata.Race.replace(replace_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d456691d-afa4-4b94-b528-db5f2a5323e7",
   "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>Race</th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "      <th>cumulative_count</th>\n",
       "      <th>cumulative_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>White (Non-Hispanic)</td>\n",
       "      <td>4489368</td>\n",
       "      <td>54.003303</td>\n",
       "      <td>4489368</td>\n",
       "      <td>54.003303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Black (Non-Hispanic)</td>\n",
       "      <td>3279238</td>\n",
       "      <td>39.446462</td>\n",
       "      <td>7768606</td>\n",
       "      <td>93.449764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>264701</td>\n",
       "      <td>3.184129</td>\n",
       "      <td>8033307</td>\n",
       "      <td>96.633894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Other</td>\n",
       "      <td>190496</td>\n",
       "      <td>2.291506</td>\n",
       "      <td>8223803</td>\n",
       "      <td>98.925400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Asian or Pacific Islander</td>\n",
       "      <td>81063</td>\n",
       "      <td>0.975119</td>\n",
       "      <td>8304866</td>\n",
       "      <td>99.900519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>American Indian or Alaskan Native</td>\n",
       "      <td>8270</td>\n",
       "      <td>0.099481</td>\n",
       "      <td>8313136</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Race    count    percent  cumulative_count  \\\n",
       "0               White (Non-Hispanic)  4489368  54.003303           4489368   \n",
       "1               Black (Non-Hispanic)  3279238  39.446462           7768606   \n",
       "2                           Hispanic   264701   3.184129           8033307   \n",
       "3                              Other   190496   2.291506           8223803   \n",
       "4          Asian or Pacific Islander    81063   0.975119           8304866   \n",
       "5  American Indian or Alaskan Native     8270   0.099481           8313136   \n",
       "\n",
       "   cumulative_percent  \n",
       "0           54.003303  \n",
       "1           93.449764  \n",
       "2           96.633894  \n",
       "3           98.925400  \n",
       "4           99.900519  \n",
       "5          100.000000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "courtdata.stb.freq(['Race'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f18f300f-cee9-4aa6-a884-1d67866f8f49",
   "metadata": {},
   "source": [
    "We can now generate a cross-tabulation of race and expungability outcome. The following table contains row percents: of all records from a person of the given race, what percent falls within each expungability outcome?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "deb4c6d1-c7db-4770-ac72-6904318b18cb",
   "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>expungable</th>\n",
       "      <th>Race</th>\n",
       "      <th>Automatic</th>\n",
       "      <th>Automatic (pending)</th>\n",
       "      <th>Not eligible</th>\n",
       "      <th>Petition</th>\n",
       "      <th>Petition (pending)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>American Indian or Alaskan Native</td>\n",
       "      <td>11.06</td>\n",
       "      <td>1.38</td>\n",
       "      <td>15.95</td>\n",
       "      <td>30.83</td>\n",
       "      <td>40.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Asian or Pacific Islander</td>\n",
       "      <td>14.27</td>\n",
       "      <td>2.32</td>\n",
       "      <td>19.05</td>\n",
       "      <td>29.41</td>\n",
       "      <td>34.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Black (Non-Hispanic)</td>\n",
       "      <td>5.30</td>\n",
       "      <td>3.00</td>\n",
       "      <td>43.38</td>\n",
       "      <td>18.74</td>\n",
       "      <td>29.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>6.12</td>\n",
       "      <td>1.20</td>\n",
       "      <td>8.77</td>\n",
       "      <td>33.11</td>\n",
       "      <td>50.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Other</td>\n",
       "      <td>10.79</td>\n",
       "      <td>1.83</td>\n",
       "      <td>13.02</td>\n",
       "      <td>26.37</td>\n",
       "      <td>48.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>White (Non-Hispanic)</td>\n",
       "      <td>8.50</td>\n",
       "      <td>2.92</td>\n",
       "      <td>35.99</td>\n",
       "      <td>22.07</td>\n",
       "      <td>30.52</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "expungable                               Race  Automatic  Automatic (pending)  \\\n",
       "0           American Indian or Alaskan Native      11.06                 1.38   \n",
       "1                   Asian or Pacific Islander      14.27                 2.32   \n",
       "2                        Black (Non-Hispanic)       5.30                 3.00   \n",
       "3                                    Hispanic       6.12                 1.20   \n",
       "4                                       Other      10.79                 1.83   \n",
       "5                        White (Non-Hispanic)       8.50                 2.92   \n",
       "\n",
       "expungable  Not eligible  Petition  Petition (pending)  \n",
       "0                  15.95     30.83               40.77  \n",
       "1                  19.05     29.41               34.95  \n",
       "2                  43.38     18.74               29.58  \n",
       "3                   8.77     33.11               50.79  \n",
       "4                  13.02     26.37               48.00  \n",
       "5                  35.99     22.07               30.52  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rowtable = (pd.crosstab(courtdata.Race, courtdata.expungable, normalize='index')*100).round(2).reset_index()\n",
    "rowtable"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1eafb3e-c036-4f12-bf2b-5d8be8460751",
   "metadata": {},
   "source": [
    "We can plot these percents:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d063d857-afe1-4fc2-a060-ff91ca26f0d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Race', ylabel='value'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "barplot = pd.melt(rowtable,\n",
    "                  id_vars = ['Race'],\n",
    "                  value_vars = ['Automatic', 'Automatic (pending)',\n",
    "                                'Not eligible', 'Petition', 'Petition (pending)'])\n",
    "\n",
    "plt.figure(figsize=(18, 6))\n",
    "sns.barplot(x='Race', y='value', hue='expungable', data=barplot)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9c960c3-3a99-49ba-bda7-5ce13eb8a442",
   "metadata": {},
   "source": [
    "## What are the most frequent reasons for each expungability outcome? <a name=\"q3\"></a>\n",
    "We can assess the most common reasons for each expungability decision:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3718f3bd-3651-46e2-850d-312f8ef51b87",
   "metadata": {},
   "outputs": [],
   "source": [
    "reasons = pd.DataFrame(courtdata.groupby(['expungable', 'reason']).size())\n",
    "reasons = reasons.rename({0:'count'}, axis=1)\n",
    "\n",
    "autoex = reasons.query(\"expungable == 'Automatic'\")\n",
    "autoex = autoex.assign(percent = round(100*(autoex['count'] / sum(autoex['count'])), 2))\n",
    "\n",
    "autopend = reasons.query(\"expungable == 'Automatic (pending)'\")\n",
    "autopend = autopend.assign(percent = round(100*(autopend['count'] / sum(autopend['count'])), 2))\n",
    "\n",
    "petex = reasons.query(\"expungable == 'Petition'\")\n",
    "petex = petex.assign(percent = round(100*(petex['count'] / sum(petex['count'])), 2))\n",
    "\n",
    "petpend = reasons.query(\"expungable == 'Petition (pending)'\")\n",
    "petpend = petpend.assign(percent = round(100*(petpend['count'] / sum(petpend['count'])), 2))\n",
    "\n",
    "notex = reasons.query(\"expungable == 'Not eligible'\")\n",
    "notex = notex.assign(percent = round(100*(notex['count'] / sum(notex['count'])), 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3d9e3465-e8ef-4a23-a1dd-26026f75709f",
   "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></th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expungable</th>\n",
       "      <th>reason</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Automatic</th>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years</th>\n",
       "      <td>561002</td>\n",
       "      <td>92.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges covered under 19.2-392.6-A or 19.2-392.6-B, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>43762</td>\n",
       "      <td>7.24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                count  percent\n",
       "expungable reason                                                             \n",
       "Automatic  Dismissal of misdemeanor charges with no prior ...  561002    92.76\n",
       "           Conviction of misdemeanor charges covered under...   43762     7.24"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "autoex.sort_values('count', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5843b21e-0662-4bcf-af35-6d9b205bcb6a",
   "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></th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expungable</th>\n",
       "      <th>reason</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Automatic (pending)</th>\n",
       "      <th>Conviction of misdemeanor charges with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, but with convictions of another kind within 7 years from disposition date</th>\n",
       "      <td>192673</td>\n",
       "      <td>80.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years</th>\n",
       "      <td>41214</td>\n",
       "      <td>17.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges covered under 19.2-392.6-A or 19.2-392.6-B, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>4401</td>\n",
       "      <td>1.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                         count  \\\n",
       "expungable          reason                                                       \n",
       "Automatic (pending) Conviction of misdemeanor charges with no class...  192673   \n",
       "                    Dismissal of misdemeanor charges with no prior ...   41214   \n",
       "                    Conviction of misdemeanor charges covered under...    4401   \n",
       "\n",
       "                                                                        percent  \n",
       "expungable          reason                                                       \n",
       "Automatic (pending) Conviction of misdemeanor charges with no class...    80.86  \n",
       "                    Dismissal of misdemeanor charges with no prior ...    17.30  \n",
       "                    Conviction of misdemeanor charges covered under...     1.85  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "autopend.sort_values('count', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5fa4a7e0-62a7-4f4a-b7a2-b8b68bcdf38f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\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></th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expungable</th>\n",
       "      <th>reason</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Petition</th>\n",
       "      <th>Conviction of misdemeanor charges other than those covered under 19.2-392.6-A, 19.2-392.6-B, and 19.2-392.12, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>897257</td>\n",
       "      <td>50.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not convicted, misdemeanor, but prior convictions on the person's record</th>\n",
       "      <td>865456</td>\n",
       "      <td>48.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years</th>\n",
       "      <td>3771</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not convicted, felony charge covered in 19.2-392.12</th>\n",
       "      <td>1718</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges covered under 19.2-392.6-A or 19.2-392.6-B, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>1447</td>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record, but with arrests or charges in the past 3 years</th>\n",
       "      <td>3</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of felony charges covered in section 19.2-392.12, and has not been convicted of any other felony within the past 10 years of the petition, with no class 3 or 4 felony conviction within the past 20 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life</th>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                count  percent\n",
       "expungable reason                                                             \n",
       "Petition   Conviction of misdemeanor charges other than th...  897257    50.70\n",
       "           Not convicted, misdemeanor, but prior convictio...  865456    48.91\n",
       "           Dismissal of misdemeanor charges with no prior ...    3771     0.21\n",
       "           Not convicted, felony charge covered in 19.2-39...    1718     0.10\n",
       "           Conviction of misdemeanor charges covered under...    1447     0.08\n",
       "           Dismissal of misdemeanor charges with no prior ...       3     0.00\n",
       "           Conviction of felony charges covered in section...       1     0.00"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "petex.sort_values('count', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "edb54f36-5ed5-4a1c-b022-7b031a00bfb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expungable</th>\n",
       "      <th>reason</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Petition (pending)</th>\n",
       "      <th>Conviction of misdemeanor charges with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, but with convictions of another kind within 7 years from disposition date</th>\n",
       "      <td>2002502</td>\n",
       "      <td>77.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not convicted, misdemeanor, but prior convictions on the person's record</th>\n",
       "      <td>532526</td>\n",
       "      <td>20.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges other than those covered under 19.2-392.6-A, 19.2-392.6-B, and 19.2-392.12, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>61569</td>\n",
       "      <td>2.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not convicted, felony charge covered in 19.2-392.12</th>\n",
       "      <td>884</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of felony charges covered in section 19.2-392.12, but has been convicted of another felony within the past 10 years of the petition, with no class 3 or 4 felony conviction within the past 20 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life</th>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record, but with arrests or charges in the past 3 years</th>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                         count  \\\n",
       "expungable         reason                                                        \n",
       "Petition (pending) Conviction of misdemeanor charges with no class...  2002502   \n",
       "                   Not convicted, misdemeanor, but prior convictio...   532526   \n",
       "                   Conviction of misdemeanor charges other than th...    61569   \n",
       "                   Not convicted, felony charge covered in 19.2-39...      884   \n",
       "                   Conviction of felony charges covered in section...        1   \n",
       "                   Dismissal of misdemeanor charges with no prior ...        1   \n",
       "\n",
       "                                                                       percent  \n",
       "expungable         reason                                                       \n",
       "Petition (pending) Conviction of misdemeanor charges with no class...    77.09  \n",
       "                   Not convicted, misdemeanor, but prior convictio...    20.50  \n",
       "                   Conviction of misdemeanor charges other than th...     2.37  \n",
       "                   Not convicted, felony charge covered in 19.2-39...     0.03  \n",
       "                   Conviction of felony charges covered in section...     0.00  \n",
       "                   Dismissal of misdemeanor charges with no prior ...     0.00  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "petpend.sort_values('count', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "955a1c40-ec9d-4a4b-b705-bd9f9e2f927c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expungable</th>\n",
       "      <th>reason</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Not eligible</th>\n",
       "      <th>Conviction and convicted of another felony within the past 10 years of the petition</th>\n",
       "      <td>1735581</td>\n",
       "      <td>55.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not convicted, felony charge covered in a section other than 19.2-392.12</th>\n",
       "      <td>973140</td>\n",
       "      <td>31.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction with a prior class 3 or 4 felony conviction within the past 20 years</th>\n",
       "      <td>373790</td>\n",
       "      <td>12.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction, previously convicted of a class 1 or 2 felony or any other felony punishable by imprisonment for life</th>\n",
       "      <td>12603</td>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, but with convictions of another kind within 7 years from disposition date</th>\n",
       "      <td>3848</td>\n",
       "      <td>0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges covered under 19.2-392.12, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>3826</td>\n",
       "      <td>0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of felony charges that are not covered in section 19.2-392.12</th>\n",
       "      <td>160</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   count  \\\n",
       "expungable   reason                                                        \n",
       "Not eligible Conviction and convicted of another felony with...  1735581   \n",
       "             Not convicted, felony charge covered in a secti...   973140   \n",
       "             Conviction with a prior class 3 or 4 felony con...   373790   \n",
       "             Conviction, previously convicted of a class 1 o...    12603   \n",
       "             Conviction of misdemeanor charges with no class...     3848   \n",
       "             Conviction of misdemeanor charges covered under...     3826   \n",
       "             Conviction of felony charges that are not cover...      160   \n",
       "\n",
       "                                                                 percent  \n",
       "expungable   reason                                                       \n",
       "Not eligible Conviction and convicted of another felony with...    55.93  \n",
       "             Not convicted, felony charge covered in a secti...    31.36  \n",
       "             Conviction with a prior class 3 or 4 felony con...    12.05  \n",
       "             Conviction, previously convicted of a class 1 o...     0.41  \n",
       "             Conviction of misdemeanor charges with no class...     0.12  \n",
       "             Conviction of misdemeanor charges covered under...     0.12  \n",
       "             Conviction of felony charges that are not cover...     0.01  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "notex.sort_values('count', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0551bdb7-1bdd-4a12-9caf-6d96a7e24b89",
   "metadata": {},
   "source": [
    "## How do these reasons differ by race?  <a name=\"q4\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "04a759a9-5a9d-47d1-a3ac-09e5e4325592",
   "metadata": {},
   "outputs": [],
   "source": [
    "reasons = pd.DataFrame(courtdata.groupby(['expungable', 'reason', 'Race']).size().unstack())\n",
    "reasons = reasons.rename({0:'count'}, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1ed4b88d-24d3-4207-a584-a67e4adb1a10",
   "metadata": {},
   "outputs": [],
   "source": [
    "autoex = reasons.query(\"expungable == 'Automatic'\")\n",
    "autoex = (100. * autoex / autoex.sum()).round(0)\n",
    "\n",
    "autopend = reasons.query(\"expungable == 'Automatic (pending)'\")\n",
    "autopend = (100. * autopend / autopend.sum()).round(0)\n",
    "\n",
    "petex = reasons.query(\"expungable == 'Petition'\")\n",
    "petex = (100. * petex / petex.sum()).round(0)\n",
    "\n",
    "petpend = reasons.query(\"expungable == 'Petition (pending)'\")\n",
    "petpend = (100. * petpend / petpend.sum()).round(0)\n",
    "\n",
    "notex = reasons.query(\"expungable == 'Not eligible'\")\n",
    "notex = (100. * notex / notex.sum()).round(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "906b44a9-09e9-4300-8662-c80cfd16f81d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\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>Race</th>\n",
       "      <th>American Indian or Alaskan Native</th>\n",
       "      <th>Asian or Pacific Islander</th>\n",
       "      <th>Black (Non-Hispanic)</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>Other</th>\n",
       "      <th>White (Non-Hispanic)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>expungable</th>\n",
       "      <th>reason</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Automatic</th>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years</th>\n",
       "      <td>96.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges covered under 19.2-392.6-A or 19.2-392.6-B, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Race                                                           American Indian or Alaskan Native  \\\n",
       "expungable reason                                                                                  \n",
       "Automatic  Dismissal of misdemeanor charges with no prior ...                               96.0   \n",
       "           Conviction of misdemeanor charges covered under...                                4.0   \n",
       "\n",
       "Race                                                           Asian or Pacific Islander  \\\n",
       "expungable reason                                                                          \n",
       "Automatic  Dismissal of misdemeanor charges with no prior ...                       96.0   \n",
       "           Conviction of misdemeanor charges covered under...                        4.0   \n",
       "\n",
       "Race                                                           Black (Non-Hispanic)  \\\n",
       "expungable reason                                                                     \n",
       "Automatic  Dismissal of misdemeanor charges with no prior ...                  91.0   \n",
       "           Conviction of misdemeanor charges covered under...                   9.0   \n",
       "\n",
       "Race                                                           Hispanic  \\\n",
       "expungable reason                                                         \n",
       "Automatic  Dismissal of misdemeanor charges with no prior ...      94.0   \n",
       "           Conviction of misdemeanor charges covered under...       6.0   \n",
       "\n",
       "Race                                                           Other  \\\n",
       "expungable reason                                                      \n",
       "Automatic  Dismissal of misdemeanor charges with no prior ...   98.0   \n",
       "           Conviction of misdemeanor charges covered under...    2.0   \n",
       "\n",
       "Race                                                           White (Non-Hispanic)  \n",
       "expungable reason                                                                    \n",
       "Automatic  Dismissal of misdemeanor charges with no prior ...                  93.0  \n",
       "           Conviction of misdemeanor charges covered under...                   7.0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "autoex.sort_values('White (Non-Hispanic)', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4342b3c0-864a-4968-9a81-a9c229bb0117",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Race</th>\n",
       "      <th>American Indian or Alaskan Native</th>\n",
       "      <th>Asian or Pacific Islander</th>\n",
       "      <th>Black (Non-Hispanic)</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>Other</th>\n",
       "      <th>White (Non-Hispanic)</th>\n",
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       "    <tr>\n",
       "      <th>expungable</th>\n",
       "      <th>reason</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Automatic (pending)</th>\n",
       "      <th>Conviction of misdemeanor charges with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, but with convictions of another kind within 7 years from disposition date</th>\n",
       "      <td>67.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years</th>\n",
       "      <td>30.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges covered under 19.2-392.6-A or 19.2-392.6-B, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Race                                                                    American Indian or Alaskan Native  \\\n",
       "expungable          reason                                                                                  \n",
       "Automatic (pending) Conviction of misdemeanor charges with no class...                               67.0   \n",
       "                    Dismissal of misdemeanor charges with no prior ...                               30.0   \n",
       "                    Conviction of misdemeanor charges covered under...                                4.0   \n",
       "\n",
       "Race                                                                    Asian or Pacific Islander  \\\n",
       "expungable          reason                                                                          \n",
       "Automatic (pending) Conviction of misdemeanor charges with no class...                       66.0   \n",
       "                    Dismissal of misdemeanor charges with no prior ...                       31.0   \n",
       "                    Conviction of misdemeanor charges covered under...                        3.0   \n",
       "\n",
       "Race                                                                    Black (Non-Hispanic)  \\\n",
       "expungable          reason                                                                     \n",
       "Automatic (pending) Conviction of misdemeanor charges with no class...                  86.0   \n",
       "                    Dismissal of misdemeanor charges with no prior ...                  12.0   \n",
       "                    Conviction of misdemeanor charges covered under...                   2.0   \n",
       "\n",
       "Race                                                                    Hispanic  \\\n",
       "expungable          reason                                                         \n",
       "Automatic (pending) Conviction of misdemeanor charges with no class...      77.0   \n",
       "                    Dismissal of misdemeanor charges with no prior ...      21.0   \n",
       "                    Conviction of misdemeanor charges covered under...       2.0   \n",
       "\n",
       "Race                                                                    Other  \\\n",
       "expungable          reason                                                      \n",
       "Automatic (pending) Conviction of misdemeanor charges with no class...   50.0   \n",
       "                    Dismissal of misdemeanor charges with no prior ...   49.0   \n",
       "                    Conviction of misdemeanor charges covered under...    1.0   \n",
       "\n",
       "Race                                                                    White (Non-Hispanic)  \n",
       "expungable          reason                                                                    \n",
       "Automatic (pending) Conviction of misdemeanor charges with no class...                  78.0  \n",
       "                    Dismissal of misdemeanor charges with no prior ...                  20.0  \n",
       "                    Conviction of misdemeanor charges covered under...                   2.0  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "autopend.sort_values('White (Non-Hispanic)', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e8819180-5da6-44db-8cac-24673be25ee5",
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Race</th>\n",
       "      <th>American Indian or Alaskan Native</th>\n",
       "      <th>Asian or Pacific Islander</th>\n",
       "      <th>Black (Non-Hispanic)</th>\n",
       "      <th>Hispanic</th>\n",
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       "      <th>expungable</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Petition</th>\n",
       "      <th>Conviction of misdemeanor charges other than those covered under 19.2-392.6-A, 19.2-392.6-B, and 19.2-392.12, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>78.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not convicted, misdemeanor, but prior convictions on the person's record</th>\n",
       "      <td>22.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges covered under 19.2-392.6-A or 19.2-392.6-B, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record and no arrests or charges in the past 3 years</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record, but with arrests or charges in the past 3 years</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not convicted, felony charge covered in 19.2-392.12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of felony charges covered in section 19.2-392.12, and has not been convicted of any other felony within the past 10 years of the petition, with no class 3 or 4 felony conviction within the past 20 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      ],
      "text/plain": [
       "Race                                                           American Indian or Alaskan Native  \\\n",
       "expungable reason                                                                                  \n",
       "Petition   Conviction of misdemeanor charges other than th...                               78.0   \n",
       "           Not convicted, misdemeanor, but prior convictio...                               22.0   \n",
       "           Conviction of misdemeanor charges covered under...                                0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...                                0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...                                NaN   \n",
       "           Not convicted, felony charge covered in 19.2-39...                                0.0   \n",
       "           Conviction of felony charges covered in section...                                NaN   \n",
       "\n",
       "Race                                                           Asian or Pacific Islander  \\\n",
       "expungable reason                                                                          \n",
       "Petition   Conviction of misdemeanor charges other than th...                       66.0   \n",
       "           Not convicted, misdemeanor, but prior convictio...                       34.0   \n",
       "           Conviction of misdemeanor charges covered under...                        0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...                        0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...                        NaN   \n",
       "           Not convicted, felony charge covered in 19.2-39...                        0.0   \n",
       "           Conviction of felony charges covered in section...                        NaN   \n",
       "\n",
       "Race                                                           Black (Non-Hispanic)  \\\n",
       "expungable reason                                                                     \n",
       "Petition   Conviction of misdemeanor charges other than th...                  42.0   \n",
       "           Not convicted, misdemeanor, but prior convictio...                  58.0   \n",
       "           Conviction of misdemeanor charges covered under...                   0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...                   0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...                   0.0   \n",
       "           Not convicted, felony charge covered in 19.2-39...                   0.0   \n",
       "           Conviction of felony charges covered in section...                   0.0   \n",
       "\n",
       "Race                                                           Hispanic  \\\n",
       "expungable reason                                                         \n",
       "Petition   Conviction of misdemeanor charges other than th...      80.0   \n",
       "           Not convicted, misdemeanor, but prior convictio...      20.0   \n",
       "           Conviction of misdemeanor charges covered under...       0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...       0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...       NaN   \n",
       "           Not convicted, felony charge covered in 19.2-39...       0.0   \n",
       "           Conviction of felony charges covered in section...       NaN   \n",
       "\n",
       "Race                                                           Other  \\\n",
       "expungable reason                                                      \n",
       "Petition   Conviction of misdemeanor charges other than th...   70.0   \n",
       "           Not convicted, misdemeanor, but prior convictio...   30.0   \n",
       "           Conviction of misdemeanor charges covered under...    0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...    0.0   \n",
       "           Dismissal of misdemeanor charges with no prior ...    0.0   \n",
       "           Not convicted, felony charge covered in 19.2-39...    0.0   \n",
       "           Conviction of felony charges covered in section...    NaN   \n",
       "\n",
       "Race                                                           White (Non-Hispanic)  \n",
       "expungable reason                                                                    \n",
       "Petition   Conviction of misdemeanor charges other than th...                  52.0  \n",
       "           Not convicted, misdemeanor, but prior convictio...                  47.0  \n",
       "           Conviction of misdemeanor charges covered under...                   0.0  \n",
       "           Dismissal of misdemeanor charges with no prior ...                   0.0  \n",
       "           Dismissal of misdemeanor charges with no prior ...                   0.0  \n",
       "           Not convicted, felony charge covered in 19.2-39...                   0.0  \n",
       "           Conviction of felony charges covered in section...                   NaN  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "petex.sort_values('White (Non-Hispanic)', ascending=False)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "02fce1b3-6e55-4808-a2ac-0a0285c1a3fc",
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   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Race</th>\n",
       "      <th>American Indian or Alaskan Native</th>\n",
       "      <th>Asian or Pacific Islander</th>\n",
       "      <th>Black (Non-Hispanic)</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>Other</th>\n",
       "      <th>White (Non-Hispanic)</th>\n",
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       "      <th>expungable</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Petition (pending)</th>\n",
       "      <th>Conviction of misdemeanor charges with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, but with convictions of another kind within 7 years from disposition date</th>\n",
       "      <td>91.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>77.0</td>\n",
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       "    <tr>\n",
       "      <th>Not convicted, misdemeanor, but prior convictions on the person's record</th>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges other than those covered under 19.2-392.6-A, 19.2-392.6-B, and 19.2-392.12, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of felony charges covered in section 19.2-392.12, but has been convicted of another felony within the past 10 years of the petition, with no class 3 or 4 felony conviction within the past 20 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Not convicted, felony charge covered in 19.2-392.12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>Dismissal of misdemeanor charges with no prior convictions on the person's record, but with arrests or charges in the past 3 years</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      ],
      "text/plain": [
       "Race                                                                   American Indian or Alaskan Native  \\\n",
       "expungable         reason                                                                                  \n",
       "Petition (pending) Conviction of misdemeanor charges with no class...                               91.0   \n",
       "                   Not convicted, misdemeanor, but prior convictio...                                7.0   \n",
       "                   Conviction of misdemeanor charges other than th...                                1.0   \n",
       "                   Conviction of felony charges covered in section...                                NaN   \n",
       "                   Not convicted, felony charge covered in 19.2-39...                                NaN   \n",
       "                   Dismissal of misdemeanor charges with no prior ...                                NaN   \n",
       "\n",
       "Race                                                                   Asian or Pacific Islander  \\\n",
       "expungable         reason                                                                          \n",
       "Petition (pending) Conviction of misdemeanor charges with no class...                       87.0   \n",
       "                   Not convicted, misdemeanor, but prior convictio...                       11.0   \n",
       "                   Conviction of misdemeanor charges other than th...                        2.0   \n",
       "                   Conviction of felony charges covered in section...                        NaN   \n",
       "                   Not convicted, felony charge covered in 19.2-39...                        0.0   \n",
       "                   Dismissal of misdemeanor charges with no prior ...                        NaN   \n",
       "\n",
       "Race                                                                   Black (Non-Hispanic)  \\\n",
       "expungable         reason                                                                     \n",
       "Petition (pending) Conviction of misdemeanor charges with no class...                  74.0   \n",
       "                   Not convicted, misdemeanor, but prior convictio...                  24.0   \n",
       "                   Conviction of misdemeanor charges other than th...                   2.0   \n",
       "                   Conviction of felony charges covered in section...                   NaN   \n",
       "                   Not convicted, felony charge covered in 19.2-39...                   0.0   \n",
       "                   Dismissal of misdemeanor charges with no prior ...                   0.0   \n",
       "\n",
       "Race                                                                   Hispanic  \\\n",
       "expungable         reason                                                         \n",
       "Petition (pending) Conviction of misdemeanor charges with no class...      95.0   \n",
       "                   Not convicted, misdemeanor, but prior convictio...       3.0   \n",
       "                   Conviction of misdemeanor charges other than th...       2.0   \n",
       "                   Conviction of felony charges covered in section...       NaN   \n",
       "                   Not convicted, felony charge covered in 19.2-39...       0.0   \n",
       "                   Dismissal of misdemeanor charges with no prior ...       NaN   \n",
       "\n",
       "Race                                                                   Other  \\\n",
       "expungable         reason                                                      \n",
       "Petition (pending) Conviction of misdemeanor charges with no class...   91.0   \n",
       "                   Not convicted, misdemeanor, but prior convictio...    7.0   \n",
       "                   Conviction of misdemeanor charges other than th...    2.0   \n",
       "                   Conviction of felony charges covered in section...    NaN   \n",
       "                   Not convicted, felony charge covered in 19.2-39...    0.0   \n",
       "                   Dismissal of misdemeanor charges with no prior ...    NaN   \n",
       "\n",
       "Race                                                                   White (Non-Hispanic)  \n",
       "expungable         reason                                                                    \n",
       "Petition (pending) Conviction of misdemeanor charges with no class...                  77.0  \n",
       "                   Not convicted, misdemeanor, but prior convictio...                  21.0  \n",
       "                   Conviction of misdemeanor charges other than th...                   3.0  \n",
       "                   Conviction of felony charges covered in section...                   0.0  \n",
       "                   Not convicted, felony charge covered in 19.2-39...                   0.0  \n",
       "                   Dismissal of misdemeanor charges with no prior ...                   NaN  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "petpend.sort_values('White (Non-Hispanic)', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f1cdff75-4f8b-4eca-9c48-57608819a039",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>expungable</th>\n",
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       "      <th rowspan=\"7\" valign=\"top\">Not eligible</th>\n",
       "      <th>Conviction and convicted of another felony within the past 10 years of the petition</th>\n",
       "      <td>61.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>56.0</td>\n",
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       "      <th>Not convicted, felony charge covered in a section other than 19.2-392.12</th>\n",
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       "      <td>31.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>31.0</td>\n",
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       "      <th>Conviction with a prior class 3 or 4 felony conviction within the past 20 years</th>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
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       "    <tr>\n",
       "      <th>Conviction of felony charges that are not covered in section 19.2-392.12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges covered under 19.2-392.12, with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, and no convictions of any other kind within 7 years from disposition date</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction of misdemeanor charges with no class 3 or 4 felony conviction within the past 20 years, no felony within the past 10 years, and no class 1 or 2 felony or any other felony punishable by imprisonment for life, but with convictions of another kind within 7 years from disposition date</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conviction, previously convicted of a class 1 or 2 felony or any other felony punishable by imprisonment for life</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Race                                                             American Indian or Alaskan Native  \\\n",
       "expungable   reason                                                                                  \n",
       "Not eligible Conviction and convicted of another felony with...                               61.0   \n",
       "             Not convicted, felony charge covered in a secti...                               27.0   \n",
       "             Conviction with a prior class 3 or 4 felony con...                               11.0   \n",
       "             Conviction of felony charges that are not cover...                                NaN   \n",
       "             Conviction of misdemeanor charges covered under...                                0.0   \n",
       "             Conviction of misdemeanor charges with no class...                                0.0   \n",
       "             Conviction, previously convicted of a class 1 o...                                0.0   \n",
       "\n",
       "Race                                                             Asian or Pacific Islander  \\\n",
       "expungable   reason                                                                          \n",
       "Not eligible Conviction and convicted of another felony with...                       50.0   \n",
       "             Not convicted, felony charge covered in a secti...                       41.0   \n",
       "             Conviction with a prior class 3 or 4 felony con...                        9.0   \n",
       "             Conviction of felony charges that are not cover...                        NaN   \n",
       "             Conviction of misdemeanor charges covered under...                        0.0   \n",
       "             Conviction of misdemeanor charges with no class...                        0.0   \n",
       "             Conviction, previously convicted of a class 1 o...                        0.0   \n",
       "\n",
       "Race                                                             Black (Non-Hispanic)  \\\n",
       "expungable   reason                                                                     \n",
       "Not eligible Conviction and convicted of another felony with...                  54.0   \n",
       "             Not convicted, felony charge covered in a secti...                  31.0   \n",
       "             Conviction with a prior class 3 or 4 felony con...                  14.0   \n",
       "             Conviction of felony charges that are not cover...                   0.0   \n",
       "             Conviction of misdemeanor charges covered under...                   0.0   \n",
       "             Conviction of misdemeanor charges with no class...                   0.0   \n",
       "             Conviction, previously convicted of a class 1 o...                   1.0   \n",
       "\n",
       "Race                                                             Hispanic  \\\n",
       "expungable   reason                                                         \n",
       "Not eligible Conviction and convicted of another felony with...      56.0   \n",
       "             Not convicted, felony charge covered in a secti...      27.0   \n",
       "             Conviction with a prior class 3 or 4 felony con...      16.0   \n",
       "             Conviction of felony charges that are not cover...       0.0   \n",
       "             Conviction of misdemeanor charges covered under...       0.0   \n",
       "             Conviction of misdemeanor charges with no class...       0.0   \n",
       "             Conviction, previously convicted of a class 1 o...       0.0   \n",
       "\n",
       "Race                                                             Other  \\\n",
       "expungable   reason                                                      \n",
       "Not eligible Conviction and convicted of another felony with...   50.0   \n",
       "             Not convicted, felony charge covered in a secti...   39.0   \n",
       "             Conviction with a prior class 3 or 4 felony con...   11.0   \n",
       "             Conviction of felony charges that are not cover...    0.0   \n",
       "             Conviction of misdemeanor charges covered under...    0.0   \n",
       "             Conviction of misdemeanor charges with no class...    0.0   \n",
       "             Conviction, previously convicted of a class 1 o...    0.0   \n",
       "\n",
       "Race                                                             White (Non-Hispanic)  \n",
       "expungable   reason                                                                    \n",
       "Not eligible Conviction and convicted of another felony with...                  58.0  \n",
       "             Not convicted, felony charge covered in a secti...                  31.0  \n",
       "             Conviction with a prior class 3 or 4 felony con...                  10.0  \n",
       "             Conviction of felony charges that are not cover...                   0.0  \n",
       "             Conviction of misdemeanor charges covered under...                   0.0  \n",
       "             Conviction of misdemeanor charges with no class...                   0.0  \n",
       "             Conviction, previously convicted of a class 1 o...                   0.0  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "notex.sort_values('White (Non-Hispanic)', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abf4bb1d-a6af-403f-b409-265281f24d36",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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