{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import polars as pl\n",
    "import polars.selectors as cs\n",
    "from plotnine import *\n",
    "from great_tables import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Retrieval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = []\n",
    "url = 'https://www.federalregister.gov/api/v1/documents.json?fields[]=document_number&fields[]=excerpts&fields[]=page_length&fields[]=president&fields[]=publication_date&fields[]=raw_text_url&fields[]=signing_date&fields[]=title&fields[]=toc_subject&fields[]=topics&per_page=20&conditions[publication_date][gte]=2005-01-20&conditions[presidential_document_type][]=executive_order&conditions[president][]=george-w-bush&conditions[president][]=barack-obama&conditions[president][]=donald-trump&conditions[president][]=joe-biden&conditions[president][]=donald-trump'\n",
    "\n",
    "while url != '':\n",
    "\n",
    "    # retrieve results\n",
    "    response = requests.get(url)\n",
    "    response.raise_for_status()\n",
    "    res_temp = response.json()\n",
    "    res += [res_temp]\n",
    "\n",
    "    # get next url\n",
    "    url = res_temp.get('next_page_url','')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows: 969\n",
      "Columns: 11\n",
      "$ document_number         <str> '2025-14212', '2025-14217', '2025-14218', '2025-13925', '2025-12961', '2025-12962', '2025-12774', '2025-12775', '2025-12505', '2025-12506'\n",
      "$ excerpts               <null> None, None, None, None, None, None, None, None, None, None\n",
      "$ page_length             <i64> 4, 3, 3, 3, 2, 2, 3, 2, 1, 5\n",
      "$ identifier              <str> 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump'\n",
      "$ name                    <str> 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump'\n",
      "$ publication_date        <str> '2025-07-28', '2025-07-28', '2025-07-28', '2025-07-23', '2025-07-10', '2025-07-10', '2025-07-09', '2025-07-09', '2025-07-03', '2025-07-03'\n",
      "$ raw_text_url            <str> 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14212.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14217.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14218.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/23/2025-13925.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/10/2025-12961.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/10/2025-12962.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/09/2025-12774.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/09/2025-12775.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/03/2025-12505.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/03/2025-12506.txt'\n",
      "$ signing_date            <str> '2025-07-23', '2025-07-23', '2025-07-23', '2025-07-17', '2025-07-07', '2025-07-07', '2025-07-03', '2025-07-03', '2025-06-30', '2025-06-30'\n",
      "$ title                   <str> 'Accelerating Federal Permitting of Data Center Infrastructure', 'Preventing Woke AI in the Federal Government', 'Promoting the Export of the American AI Technology Stack', 'Creating Schedule G in the Excepted Service', 'Ending Market Distorting Subsidies for Unreliable, Foreign-Controlled Energy Sources', 'Extending the Modification of the Reciprocal Tariff Rates', \"Establishing the President's Make America Beautiful Again Commission\", 'Making America Beautiful Again by Improving Our National Parks', 'Establishing a White House Office for Special Peace Missions', 'Providing for the Revocation of Syria Sanctions'\n",
      "$ toc_subject             <str> None, 'Government Agencies and Employees', None, 'Government Agencies and Employees', None, None, None, None, None, None\n",
      "$ topics           <list[null]> [], [], [], [], [], [], [], [], [], []\n",
      "\n",
      "Rows: 969\n",
      "Columns: 11\n",
      "$ document_number         <str> '2025-14212', '2025-14217', '2025-14218', '2025-13925', '2025-12961', '2025-12962', '2025-12774', '2025-12775', '2025-12505', '2025-12506'\n",
      "$ excerpts               <null> None, None, None, None, None, None, None, None, None, None\n",
      "$ page_length             <i64> 4, 3, 3, 3, 2, 2, 3, 2, 1, 5\n",
      "$ identifier              <str> 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump'\n",
      "$ name                    <str> 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump'\n",
      "$ publication_date        <str> '2025-07-28', '2025-07-28', '2025-07-28', '2025-07-23', '2025-07-10', '2025-07-10', '2025-07-09', '2025-07-09', '2025-07-03', '2025-07-03'\n",
      "$ raw_text_url            <str> 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14212.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14217.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14218.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/23/2025-13925.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/10/2025-12961.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/10/2025-12962.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/09/2025-12774.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/09/2025-12775.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/03/2025-12505.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/03/2025-12506.txt'\n",
      "$ signing_date            <str> '2025-07-23', '2025-07-23', '2025-07-23', '2025-07-17', '2025-07-07', '2025-07-07', '2025-07-03', '2025-07-03', '2025-06-30', '2025-06-30'\n",
      "$ title                   <str> 'Accelerating Federal Permitting of Data Center Infrastructure', 'Preventing Woke AI in the Federal Government', 'Promoting the Export of the American AI Technology Stack', 'Creating Schedule G in the Excepted Service', 'Ending Market Distorting Subsidies for Unreliable, Foreign-Controlled Energy Sources', 'Extending the Modification of the Reciprocal Tariff Rates', \"Establishing the President's Make America Beautiful Again Commission\", 'Making America Beautiful Again by Improving Our National Parks', 'Establishing a White House Office for Special Peace Missions', 'Providing for the Revocation of Syria Sanctions'\n",
      "$ toc_subject             <str> None, 'Government Agencies and Employees', None, 'Government Agencies and Employees', None, None, None, None, None, None\n",
      "$ topics           <list[null]> [], [], [], [], [], [], [], [], [], []\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df_res = (\n",
    "    pl.DataFrame(res)\n",
    "    .select('results')\n",
    "    .explode('results')\n",
    "    .unnest('results')\n",
    "    .unnest('president')\n",
    ")\n",
    "df_res.glimpse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (7, 5)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>term</th><th>start_year</th><th>start_date</th><th>end_date</th><th>president_lname</th></tr><tr><td>i64</td><td>i64</td><td>str</td><td>str</td><td>str</td></tr></thead><tbody><tr><td>1</td><td>2001</td><td>&quot;2001-01-20&quot;</td><td>&quot;2005-01-20&quot;</td><td>&quot;Bush&quot;</td></tr><tr><td>2</td><td>2005</td><td>&quot;2005-01-20&quot;</td><td>&quot;2009-01-20&quot;</td><td>&quot;Bush&quot;</td></tr><tr><td>1</td><td>2009</td><td>&quot;2009-01-20&quot;</td><td>&quot;2013-01-20&quot;</td><td>&quot;Obama&quot;</td></tr><tr><td>2</td><td>2013</td><td>&quot;2013-01-20&quot;</td><td>&quot;2017-01-20&quot;</td><td>&quot;Obama&quot;</td></tr><tr><td>1</td><td>2017</td><td>&quot;2017-01-20&quot;</td><td>&quot;2021-01-20&quot;</td><td>&quot;Trump&quot;</td></tr><tr><td>1</td><td>2021</td><td>&quot;2021-01-20&quot;</td><td>&quot;2025-01-20&quot;</td><td>&quot;Biden&quot;</td></tr><tr><td>2</td><td>2025</td><td>&quot;2025-01-20&quot;</td><td>&quot;2029-01-20&quot;</td><td>&quot;Trump&quot;</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (7, 5)\n",
       "┌──────┬────────────┬────────────┬────────────┬─────────────────┐\n",
       "│ term ┆ start_year ┆ start_date ┆ end_date   ┆ president_lname │\n",
       "│ ---  ┆ ---        ┆ ---        ┆ ---        ┆ ---             │\n",
       "│ i64  ┆ i64        ┆ str        ┆ str        ┆ str             │\n",
       "╞══════╪════════════╪════════════╪════════════╪═════════════════╡\n",
       "│ 1    ┆ 2001       ┆ 2001-01-20 ┆ 2005-01-20 ┆ Bush            │\n",
       "│ 2    ┆ 2005       ┆ 2005-01-20 ┆ 2009-01-20 ┆ Bush            │\n",
       "│ 1    ┆ 2009       ┆ 2009-01-20 ┆ 2013-01-20 ┆ Obama           │\n",
       "│ 2    ┆ 2013       ┆ 2013-01-20 ┆ 2017-01-20 ┆ Obama           │\n",
       "│ 1    ┆ 2017       ┆ 2017-01-20 ┆ 2021-01-20 ┆ Trump           │\n",
       "│ 1    ┆ 2021       ┆ 2021-01-20 ┆ 2025-01-20 ┆ Biden           │\n",
       "│ 2    ┆ 2025       ┆ 2025-01-20 ┆ 2029-01-20 ┆ Trump           │\n",
       "└──────┴────────────┴────────────┴────────────┴─────────────────┘"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# lookup table\n",
    "\n",
    "term = [1,2,1,2,1,1,2]\n",
    "start_year = [2001, 2005, 2009, 2013, 2017, 2021, 2025]\n",
    "start_date = [f'{year}-01-20' for year in start_year]\n",
    "end_date = start_date[1:] + ['2029-01-20']\n",
    "president_lname = ['Bush']*2 + ['Obama']*2 + ['Trump'] + ['Biden'] + ['Trump']\n",
    "df_lkup = pl.DataFrame([term, start_year, start_date, end_date, president_lname], \n",
    "                       schema = ['term','start_year','start_date', 'end_date', 'president_lname'],\n",
    "                       orient = 'col')\n",
    "df_lkup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows: 952\n",
      "Columns: 17\n",
      "$ document_number         <str> '2025-14212', '2025-14217', '2025-14218', '2025-13925', '2025-12961', '2025-12962', '2025-12774', '2025-12775', '2025-12505', '2025-12506'\n",
      "$ excerpts               <null> None, None, None, None, None, None, None, None, None, None\n",
      "$ page_length             <i64> 4, 3, 3, 3, 2, 2, 3, 2, 1, 5\n",
      "$ identifier              <str> 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump'\n",
      "$ name                    <str> 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump'\n",
      "$ publication_date        <str> '2025-07-28', '2025-07-28', '2025-07-28', '2025-07-23', '2025-07-10', '2025-07-10', '2025-07-09', '2025-07-09', '2025-07-03', '2025-07-03'\n",
      "$ raw_text_url            <str> 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14212.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14217.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14218.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/23/2025-13925.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/10/2025-12961.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/10/2025-12962.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/09/2025-12774.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/09/2025-12775.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/03/2025-12505.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/03/2025-12506.txt'\n",
      "$ signing_date            <str> '2025-07-23', '2025-07-23', '2025-07-23', '2025-07-17', '2025-07-07', '2025-07-07', '2025-07-03', '2025-07-03', '2025-06-30', '2025-06-30'\n",
      "$ title                   <str> 'Accelerating Federal Permitting of Data Center Infrastructure', 'Preventing Woke AI in the Federal Government', 'Promoting the Export of the American AI Technology Stack', 'Creating Schedule G in the Excepted Service', 'Ending Market Distorting Subsidies for Unreliable, Foreign-Controlled Energy Sources', 'Extending the Modification of the Reciprocal Tariff Rates', \"Establishing the President's Make America Beautiful Again Commission\", 'Making America Beautiful Again by Improving Our National Parks', 'Establishing a White House Office for Special Peace Missions', 'Providing for the Revocation of Syria Sanctions'\n",
      "$ toc_subject             <str> None, 'Government Agencies and Employees', None, 'Government Agencies and Employees', None, None, None, None, None, None\n",
      "$ topics           <list[null]> [], [], [], [], [], [], [], [], [], []\n",
      "$ president_lname         <str> 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump'\n",
      "$ term                    <i64> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2\n",
      "$ start_year              <i64> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025\n",
      "$ start_date              <str> '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20'\n",
      "$ end_date                <str> '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20'\n",
      "$ pres_term               <str> 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2'\n",
      "\n",
      "Rows: 952\n",
      "Columns: 17\n",
      "$ document_number         <str> '2025-14212', '2025-14217', '2025-14218', '2025-13925', '2025-12961', '2025-12962', '2025-12774', '2025-12775', '2025-12505', '2025-12506'\n",
      "$ excerpts               <null> None, None, None, None, None, None, None, None, None, None\n",
      "$ page_length             <i64> 4, 3, 3, 3, 2, 2, 3, 2, 1, 5\n",
      "$ identifier              <str> 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump', 'donald-trump'\n",
      "$ name                    <str> 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump', 'Donald Trump'\n",
      "$ publication_date        <str> '2025-07-28', '2025-07-28', '2025-07-28', '2025-07-23', '2025-07-10', '2025-07-10', '2025-07-09', '2025-07-09', '2025-07-03', '2025-07-03'\n",
      "$ raw_text_url            <str> 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14212.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14217.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/28/2025-14218.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/23/2025-13925.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/10/2025-12961.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/10/2025-12962.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/09/2025-12774.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/09/2025-12775.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/03/2025-12505.txt', 'https://www.federalregister.gov/documents/full_text/text/2025/07/03/2025-12506.txt'\n",
      "$ signing_date            <str> '2025-07-23', '2025-07-23', '2025-07-23', '2025-07-17', '2025-07-07', '2025-07-07', '2025-07-03', '2025-07-03', '2025-06-30', '2025-06-30'\n",
      "$ title                   <str> 'Accelerating Federal Permitting of Data Center Infrastructure', 'Preventing Woke AI in the Federal Government', 'Promoting the Export of the American AI Technology Stack', 'Creating Schedule G in the Excepted Service', 'Ending Market Distorting Subsidies for Unreliable, Foreign-Controlled Energy Sources', 'Extending the Modification of the Reciprocal Tariff Rates', \"Establishing the President's Make America Beautiful Again Commission\", 'Making America Beautiful Again by Improving Our National Parks', 'Establishing a White House Office for Special Peace Missions', 'Providing for the Revocation of Syria Sanctions'\n",
      "$ toc_subject             <str> None, 'Government Agencies and Employees', None, 'Government Agencies and Employees', None, None, None, None, None, None\n",
      "$ topics           <list[null]> [], [], [], [], [], [], [], [], [], []\n",
      "$ president_lname         <str> 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump', 'Trump'\n",
      "$ term                    <i64> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2\n",
      "$ start_year              <i64> 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025, 2025\n",
      "$ start_date              <str> '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20', '2025-01-20'\n",
      "$ end_date                <str> '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20', '2029-01-20'\n",
      "$ pres_term               <str> 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2', 'Trump - 2'\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df_clean = (\n",
    "    df_res\n",
    "    .with_columns(\n",
    "        president_lname = pl.col('identifier')\n",
    "                            .str.extract('[A-Za-z ]+-([A-Za-z]+$)', group_index = 1)\n",
    "                            .str.to_titlecase(),\n",
    "    )\n",
    "    # there's a bug in polars join_asof() at the time of writing...\n",
    "    .join(df_lkup, on = 'president_lname')\n",
    "    .filter( pl.col('signing_date') >= pl.col('start_date'))\n",
    "    .filter( pl.col('signing_date') <  pl.col('end_date'))\n",
    "    .with_columns( pres_term = pl.concat_str( pl.col('president_lname'), pl.lit(' - '), pl.col('term')) )\n",
    ")\n",
    "df_clean.glimpse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (6, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>pres_term</th><th>n_eo_issued</th><th>start_date</th></tr><tr><td>str</td><td>u32</td><td>str</td></tr></thead><tbody><tr><td>&quot;Bush - 2&quot;</td><td>118</td><td>&quot;2005-01-31&quot;</td></tr><tr><td>&quot;Obama - 1&quot;</td><td>148</td><td>&quot;2009-01-26&quot;</td></tr><tr><td>&quot;Obama - 2&quot;</td><td>130</td><td>&quot;2013-02-19&quot;</td></tr><tr><td>&quot;Trump - 1&quot;</td><td>220</td><td>&quot;2017-01-24&quot;</td></tr><tr><td>&quot;Biden - 1&quot;</td><td>162</td><td>&quot;2021-01-25&quot;</td></tr><tr><td>&quot;Trump - 2&quot;</td><td>174</td><td>&quot;2025-01-28&quot;</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (6, 3)\n",
       "┌───────────┬─────────────┬────────────┐\n",
       "│ pres_term ┆ n_eo_issued ┆ start_date │\n",
       "│ ---       ┆ ---         ┆ ---        │\n",
       "│ str       ┆ u32         ┆ str        │\n",
       "╞═══════════╪═════════════╪════════════╡\n",
       "│ Bush - 2  ┆ 118         ┆ 2005-01-31 │\n",
       "│ Obama - 1 ┆ 148         ┆ 2009-01-26 │\n",
       "│ Obama - 2 ┆ 130         ┆ 2013-02-19 │\n",
       "│ Trump - 1 ┆ 220         ┆ 2017-01-24 │\n",
       "│ Biden - 1 ┆ 162         ┆ 2021-01-25 │\n",
       "│ Trump - 2 ┆ 174         ┆ 2025-01-28 │\n",
       "└───────────┴─────────────┴────────────┘"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_agg = (\n",
    "    df_clean\n",
    "    .group_by('pres_term')\n",
    "    .agg(\n",
    "        n_eo_issued = pl.col('document_number').count(),\n",
    "        start_date = pl.col('publication_date').min()\n",
    "    )\n",
    ")\n",
    "\n",
    "df_agg.sort('start_date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows: 711\n",
      "Columns: 6\n",
      "$ pres_term        <str> 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1'\n",
      "$ term_label       <str> '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden'\n",
      "$ day_since_start  <i64> 0, 1, 2, 5, 6, 7, 8, 13, 15, 21\n",
      "$ signing_date    <date> 2021-01-20, 2021-01-21, 2021-01-22, 2021-01-25, 2021-01-26, 2021-01-27, 2021-01-28, 2021-02-02, 2021-02-04, 2021-02-10\n",
      "$ len              <u32> 9, 8, 2, 2, 1, 2, 1, 3, 1, 1\n",
      "$ n_cumul          <u32> 9, 17, 19, 21, 22, 24, 25, 28, 29, 30\n",
      "\n",
      "Rows: 711\n",
      "Columns: 6\n",
      "$ pres_term        <str> 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1', 'Biden - 1'\n",
      "$ term_label       <str> '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden', '(2021)\\nBiden'\n",
      "$ day_since_start  <i64> 0, 1, 2, 5, 6, 7, 8, 13, 15, 21\n",
      "$ signing_date    <date> 2021-01-20, 2021-01-21, 2021-01-22, 2021-01-25, 2021-01-26, 2021-01-27, 2021-01-28, 2021-02-02, 2021-02-04, 2021-02-10\n",
      "$ len              <u32> 9, 8, 2, 2, 1, 2, 1, 3, 1, 1\n",
      "$ n_cumul          <u32> 9, 17, 19, 21, 22, 24, 25, 28, 29, 30\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df_cumul = (\n",
    "    df_clean\n",
    "    .with_columns( cs.ends_with('date').cast(pl.Date) )\n",
    "    .with_columns(\n",
    "        day_since_start = ( pl.col('signing_date') - pl.col('start_date') ).dt.total_days(),\n",
    "        term_label = pl.concat_str( pl.lit('('), pl.col('start_date').dt.year(), pl.lit(')'),\n",
    "                                    pl.lit('\\n'),\n",
    "                                    pl.col('president_lname') )\n",
    "    )\n",
    "    .group_by('pres_term', 'term_label', 'day_since_start', 'signing_date')\n",
    "    .len()\n",
    "    .with_columns( n_cumul = pl.col('len').cum_sum().over('pres_term', order_by = 'day_since_start') )\n",
    ")\n",
    "df_cumul.sort('pres_term', 'day_since_start').glimpse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot not included in final; the first plot you make often isn't the best!\n",
    "# for example, this one has censored data because (as of writing in 2025, Trump 2 is not complete)\n",
    "\n",
    "(\n",
    "ggplot(df_cumul.group_by('term_label').agg( pl.col('n_cumul').max() )) +\n",
    "aes(x = 'term_label', y = 'n_cumul', fill = 'term_label') +\n",
    "geom_col() +\n",
    "labs(title = 'Executive Orders Signed by Term', x = '', y = '') +\n",
    "theme_538() +\n",
    "scale_color_brewer('qual', palette = 'Set1') +\n",
    "theme(legend_position = 'none')\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| label: fig-cum-eo\n",
    "\n",
    "(\n",
    "ggplot(df_cumul) +\n",
    "aes(x = 'day_since_start', y = 'n_cumul', color = 'term_label') +\n",
    "geom_line() +\n",
    "labs(\n",
    "    title = 'Executive Orders Signed by Days in Office',\n",
    "    x = 'Days since Term Start', \n",
    "    y = 'EOs Issued', \n",
    "    color = 'Term') +\n",
    "theme_538() +\n",
    "scale_color_brewer('qual', palette = 'Set1') +\n",
    "theme(legend_position = 'bottom')\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<!DOCTYPE html>\n",
       "<html lang=\"en\">\n",
       "<head>\n",
       "<meta charset=\"utf-8\"/>\n",
       "</head>\n",
       "<body>\n",
       "<div id=\"bjovyrnhbw\" style=\"padding-left:0px;padding-right:0px;padding-top:10px;padding-bottom:10px;overflow-x:auto;overflow-y:auto;width:auto;height:auto;\">\n",
       "<style>\n",
       "#bjovyrnhbw table {\n",
       "          font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Helvetica Neue', 'Fira Sans', 'Droid Sans', Arial, sans-serif;\n",
       "          -webkit-font-smoothing: antialiased;\n",
       "          -moz-osx-font-smoothing: grayscale;\n",
       "        }\n",
       "\n",
       "#bjovyrnhbw thead, tbody, tfoot, tr, td, th { border-style: none !important; }\n",
       " tr { background-color: transparent !important; }\n",
       "#bjovyrnhbw p { margin: 0 !important; padding: 0 !important; }\n",
       " #bjovyrnhbw .gt_table { display: table !important; border-collapse: collapse !important; line-height: normal !important; margin-left: auto !important; margin-right: auto !important; color: #333333 !important; font-size: 16px !important; font-weight: normal !important; font-style: normal !important; background-color: #FFFFFF !important; width: auto !important; border-top-style: solid !important; border-top-width: 2px !important; border-top-color: #A8A8A8 !important; border-right-style: none !important; border-right-width: 2px !important; border-right-color: #D3D3D3 !important; border-bottom-style: solid !important; border-bottom-width: 2px !important; border-bottom-color: #A8A8A8 !important; border-left-style: none !important; border-left-width: 2px !important; border-left-color: #D3D3D3 !important; }\n",
       " #bjovyrnhbw .gt_caption { padding-top: 4px !important; padding-bottom: 4px !important; }\n",
       " #bjovyrnhbw .gt_title { color: #333333 !important; font-size: 125% !important; font-weight: initial !important; padding-top: 4px !important; padding-bottom: 4px !important; padding-left: 5px !important; padding-right: 5px !important; border-bottom-color: #FFFFFF !important; border-bottom-width: 0 !important; }\n",
       " #bjovyrnhbw .gt_subtitle { color: #333333 !important; font-size: 85% !important; font-weight: initial !important; padding-top: 3px !important; padding-bottom: 5px !important; padding-left: 5px !important; padding-right: 5px !important; border-top-color: #FFFFFF !important; border-top-width: 0 !important; }\n",
       " #bjovyrnhbw .gt_heading { background-color: #FFFFFF !important; text-align: center !important; border-bottom-color: #FFFFFF !important; border-left-style: none !important; border-left-width: 1px !important; border-left-color: #D3D3D3 !important; border-right-style: none !important; border-right-width: 1px !important; border-right-color: #D3D3D3 !important; }\n",
       " #bjovyrnhbw .gt_bottom_border { border-bottom-style: solid !important; border-bottom-width: 2px !important; border-bottom-color: #D3D3D3 !important; }\n",
       " #bjovyrnhbw .gt_col_headings { border-top-style: solid !important; border-top-width: 2px !important; border-top-color: #D3D3D3 !important; border-bottom-style: solid !important; border-bottom-width: 2px !important; border-bottom-color: #D3D3D3 !important; border-left-style: none !important; border-left-width: 1px !important; border-left-color: #D3D3D3 !important; border-right-style: none !important; border-right-width: 1px !important; border-right-color: #D3D3D3 !important; }\n",
       " #bjovyrnhbw .gt_col_heading { color: #333333 !important; background-color: #FFFFFF !important; font-size: 100% !important; font-weight: normal !important; text-transform: inherit !important; border-left-style: none !important; border-left-width: 1px !important; border-left-color: #D3D3D3 !important; border-right-style: none !important; border-right-width: 1px !important; border-right-color: #D3D3D3 !important; vertical-align: bottom !important; padding-top: 5px !important; padding-bottom: 5px !important; padding-left: 5px !important; padding-right: 5px !important; overflow-x: hidden !important; }\n",
       " #bjovyrnhbw .gt_column_spanner_outer { color: #333333 !important; background-color: #FFFFFF !important; font-size: 100% !important; font-weight: normal !important; text-transform: inherit !important; padding-top: 0 !important; padding-bottom: 0 !important; padding-left: 4px !important; padding-right: 4px !important; }\n",
       " #bjovyrnhbw .gt_column_spanner_outer:first-child { padding-left: 0 !important; }\n",
       " #bjovyrnhbw .gt_column_spanner_outer:last-child { padding-right: 0 !important; }\n",
       " #bjovyrnhbw .gt_column_spanner { border-bottom-style: solid !important; border-bottom-width: 2px !important; border-bottom-color: #D3D3D3 !important; vertical-align: bottom !important; padding-top: 5px !important; padding-bottom: 5px !important; overflow-x: hidden !important; display: inline-block !important; width: 100% !important; }\n",
       " #bjovyrnhbw .gt_spanner_row { border-bottom-style: hidden !important; }\n",
       " #bjovyrnhbw .gt_group_heading { padding-top: 8px !important; padding-bottom: 8px !important; padding-left: 5px !important; padding-right: 5px !important; color: #333333 !important; background-color: #FFFFFF !important; font-size: 100% !important; font-weight: initial !important; text-transform: inherit !important; border-top-style: solid !important; border-top-width: 2px !important; border-top-color: #D3D3D3 !important; border-bottom-style: solid !important; border-bottom-width: 2px !important; border-bottom-color: #D3D3D3 !important; border-left-style: none !important; border-left-width: 1px !important; border-left-color: #D3D3D3 !important; border-right-style: none !important; border-right-width: 1px !important; border-right-color: #D3D3D3 !important; vertical-align: middle !important; text-align: left !important; }\n",
       " #bjovyrnhbw .gt_empty_group_heading { padding: 0.5px !important; color: #333333 !important; background-color: #FFFFFF !important; font-size: 100% !important; font-weight: initial !important; border-top-style: solid !important; border-top-width: 2px !important; border-top-color: #D3D3D3 !important; border-bottom-style: solid !important; border-bottom-width: 2px !important; border-bottom-color: #D3D3D3 !important; vertical-align: middle !important; }\n",
       " #bjovyrnhbw .gt_from_md> :first-child { margin-top: 0 !important; }\n",
       " #bjovyrnhbw .gt_from_md> :last-child { margin-bottom: 0 !important; }\n",
       " #bjovyrnhbw .gt_row { padding-top: 8px !important; padding-bottom: 8px !important; padding-left: 5px !important; padding-right: 5px !important; margin: 10px !important; border-top-style: solid !important; border-top-width: 1px !important; border-top-color: #D3D3D3 !important; border-left-style: none !important; border-left-width: 1px !important; border-left-color: #D3D3D3 !important; border-right-style: none !important; border-right-width: 1px !important; border-right-color: #D3D3D3 !important; vertical-align: middle !important; overflow-x: hidden !important; }\n",
       " #bjovyrnhbw .gt_stub { color: #333333 !important; background-color: #FFFFFF !important; font-size: 100% !important; font-weight: initial !important; text-transform: inherit !important; border-right-style: solid !important; border-right-width: 2px !important; border-right-color: #D3D3D3 !important; padding-left: 5px !important; padding-right: 5px !important; }\n",
       " #bjovyrnhbw .gt_stub_row_group { color: #333333 !important; background-color: #FFFFFF !important; font-size: 100% !important; font-weight: initial !important; text-transform: inherit !important; border-right-style: solid !important; border-right-width: 2px !important; border-right-color: #D3D3D3 !important; padding-left: 5px !important; padding-right: 5px !important; vertical-align: top !important; }\n",
       " #bjovyrnhbw .gt_row_group_first td { border-top-width: 2px !important; }\n",
       " #bjovyrnhbw .gt_row_group_first th { border-top-width: 2px !important; }\n",
       " #bjovyrnhbw .gt_striped { background-color: rgba(128,128,128,0.05) !important; }\n",
       " #bjovyrnhbw .gt_table_body { border-top-style: solid !important; border-top-width: 2px !important; border-top-color: #D3D3D3 !important; border-bottom-style: solid !important; border-bottom-width: 2px !important; border-bottom-color: #D3D3D3 !important; }\n",
       " #bjovyrnhbw .gt_sourcenotes { color: #333333 !important; background-color: #FFFFFF !important; border-bottom-style: none !important; border-bottom-width: 2px !important; border-bottom-color: #D3D3D3 !important; border-left-style: none !important; border-left-width: 2px !important; border-left-color: #D3D3D3 !important; border-right-style: none !important; border-right-width: 2px !important; border-right-color: #D3D3D3 !important; }\n",
       " #bjovyrnhbw .gt_sourcenote { font-size: 90% !important; padding-top: 4px !important; padding-bottom: 4px !important; padding-left: 5px !important; padding-right: 5px !important; text-align: left !important; }\n",
       " #bjovyrnhbw .gt_left { text-align: left !important; }\n",
       " #bjovyrnhbw .gt_center { text-align: center !important; }\n",
       " #bjovyrnhbw .gt_right { text-align: right !important; font-variant-numeric: tabular-nums !important; }\n",
       " #bjovyrnhbw .gt_font_normal { font-weight: normal !important; }\n",
       " #bjovyrnhbw .gt_font_bold { font-weight: bold !important; }\n",
       " #bjovyrnhbw .gt_font_italic { font-style: italic !important; }\n",
       " #bjovyrnhbw .gt_super { font-size: 65% !important; }\n",
       " #bjovyrnhbw .gt_footnote_marks { font-size: 75% !important; vertical-align: 0.4em !important; position: initial !important; }\n",
       " #bjovyrnhbw .gt_asterisk { font-size: 100% !important; vertical-align: 0 !important; }\n",
       " \n",
       "</style>\n",
       "<table class=\"gt_table\" data-quarto-disable-processing=\"false\" data-quarto-bootstrap=\"false\">\n",
       "<thead>\n",
       "\n",
       "  <tr class=\"gt_heading\">\n",
       "    <td colspan=\"3\" class=\"gt_heading gt_title gt_font_normal\">Executive Orders Issued by Term</td>\n",
       "  </tr>\n",
       "  <tr class=\"gt_heading\">\n",
       "    <td colspan=\"3\" class=\"gt_heading gt_subtitle gt_font_normal gt_bottom_border\">Normalized for first 184 days in office (12.6% of term)</td>\n",
       "  </tr>\n",
       "<tr class=\"gt_col_headings gt_spanner_row\">\n",
       "  <th class=\"gt_col_heading gt_columns_bottom_border gt_center\" rowspan=\"2\" colspan=\"1\" scope=\"col\" id=\"term_label\">Term</th>\n",
       "  <th class=\"gt_center gt_columns_top_border gt_column_spanner_outer\" rowspan=\"1\" colspan=\"2\" scope=\"colgroup\" id=\"Count\">\n",
       "    <span class=\"gt_column_spanner\">Count</span>\n",
       "  </th>\n",
       "</tr>\n",
       "<tr class=\"gt_col_headings\">\n",
       "  <th class=\"gt_col_heading gt_columns_bottom_border gt_center\" rowspan=\"1\" colspan=\"1\" scope=\"col\" id=\"n_ttl_pit\">Point in time</th>\n",
       "  <th class=\"gt_col_heading gt_columns_bottom_border gt_center\" rowspan=\"1\" colspan=\"1\" scope=\"col\" id=\"n_ttl\">Full term</th>\n",
       "</tr>\n",
       "</thead>\n",
       "<tbody class=\"gt_table_body\">\n",
       "  <tr>\n",
       "    <td class=\"gt_row gt_center\">(2005)\n",
       "Bush</td>\n",
       "    <td class=\"gt_row gt_center\">13</td>\n",
       "    <td class=\"gt_row gt_center\">118</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td class=\"gt_row gt_center gt_striped\">(2009)\n",
       "Obama</td>\n",
       "    <td class=\"gt_row gt_center gt_striped\">22</td>\n",
       "    <td class=\"gt_row gt_center gt_striped\">148</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td class=\"gt_row gt_center\">(2013)\n",
       "Obama</td>\n",
       "    <td class=\"gt_row gt_center\">14</td>\n",
       "    <td class=\"gt_row gt_center\">130</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td class=\"gt_row gt_center gt_striped\">(2017)\n",
       "Trump</td>\n",
       "    <td class=\"gt_row gt_center gt_striped\">42</td>\n",
       "    <td class=\"gt_row gt_center gt_striped\">220</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td class=\"gt_row gt_center\">(2021)\n",
       "Biden</td>\n",
       "    <td class=\"gt_row gt_center\">52</td>\n",
       "    <td class=\"gt_row gt_center\">162</td>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <td class=\"gt_row gt_center gt_striped\">(2025)\n",
       "Trump</td>\n",
       "    <td class=\"gt_row gt_center gt_striped\">174</td>\n",
       "    <td class=\"gt_row gt_center gt_striped\">-</td>\n",
       "  </tr>\n",
       "</tbody>\n",
       "\n",
       "\n",
       "</table>\n",
       "\n",
       "</div>\n",
       "        \n",
       "</body>\n",
       "</html>\n",
       "            "
      ],
      "text/plain": [
       "GT(_tbl_data=shape: (6, 4)\n",
       "┌────────────┬─────────┬───────────┬───────┐\n",
       "│ term_label ┆ max_dss ┆ n_ttl_pit ┆ n_ttl │\n",
       "│ ---        ┆ ---     ┆ ---       ┆ ---   │\n",
       "│ str        ┆ i64     ┆ u32       ┆ u32   │\n",
       "╞════════════╪═════════╪═══════════╪═══════╡\n",
       "│ (2005)     ┆ 184     ┆ 13        ┆ 118   │\n",
       "│ Bush       ┆         ┆           ┆       │\n",
       "│ (2009)     ┆ 184     ┆ 22        ┆ 148   │\n",
       "│ Obama      ┆         ┆           ┆       │\n",
       "│ (2013)     ┆ 184     ┆ 14        ┆ 130   │\n",
       "│ Obama      ┆         ┆           ┆       │\n",
       "│ (2017)     ┆ 184     ┆ 42        ┆ 220   │\n",
       "│ Trump      ┆         ┆           ┆       │\n",
       "│ (2021)     ┆ 184     ┆ 52        ┆ 162   │\n",
       "│ Biden      ┆         ┆           ┆       │\n",
       "│ (2025)     ┆ 184     ┆ 174       ┆ null  │\n",
       "│ Trump      ┆         ┆           ┆       │\n",
       "└────────────┴─────────┴───────────┴───────┘, _body=<great_tables._gt_data.Body object at 0x00000206BF915B10>, _boxhead=Boxhead([ColInfo(var='term_label', type=<ColInfoTypeEnum.default: 1>, column_label='Term', column_align='center', column_width=None), ColInfo(var='max_dss', type=<ColInfoTypeEnum.hidden: 4>, column_label='max_dss', column_align='center', column_width=None), ColInfo(var='n_ttl_pit', type=<ColInfoTypeEnum.default: 1>, column_label='Point in time', column_align='center', column_width=None), ColInfo(var='n_ttl', type=<ColInfoTypeEnum.default: 1>, column_label='Full term', column_align='center', column_width=None)]), _stub=<great_tables._gt_data.Stub object at 0x00000206BF9177D0>, _spanners=Spanners([SpannerInfo(spanner_id='Count', spanner_level=0, spanner_label='Count', spanner_units=None, spanner_pattern=None, vars=['n_ttl_pit', 'n_ttl'], built=None)]), _heading=Heading(title='Executive Orders Issued by Term', subtitle='Normalized for first 184 days in office (12.6% of term)', preheader=None), _stubhead=None, _source_notes=[], _footnotes=[], _styles=[], _locale=<great_tables._gt_data.Locale object at 0x00000206BF8FF350>, _formats=[], _substitutions=[<great_tables._gt_data.FormatInfo object at 0x00000206BF8D66D0>], _options=Options(table_id=OptionsInfo(scss=False, category='table', type='value', value=None), table_caption=OptionsInfo(scss=False, category='table', type='value', value=None), table_width=OptionsInfo(scss=True, category='table', type='px', value='auto'), table_layout=OptionsInfo(scss=True, category='table', type='value', value='fixed'), table_margin_left=OptionsInfo(scss=True, category='table', type='px', value='auto'), table_margin_right=OptionsInfo(scss=True, category='table', type='px', value='auto'), table_background_color=OptionsInfo(scss=True, category='table', type='value', value='#FFFFFF'), table_additional_css=OptionsInfo(scss=False, category='table', type='values', value=[]), table_font_names=OptionsInfo(scss=False, 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type='px', value='10px'), container_overflow_x=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), container_overflow_y=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), quarto_disable_processing=OptionsInfo(scss=False, category='quarto', type='logical', value=False), quarto_use_bootstrap=OptionsInfo(scss=False, category='quarto', type='logical', value=False)), _google_font_imports=GoogleFontImports(imports=frozenset()), _has_built=False)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| label: tbl-pit-eo\n",
    "\n",
    "df_pit = (\n",
    "  df_cumul\n",
    "  .with_columns( max_dss = pl.when( pl.col('signing_date') == pl.col('signing_date').max() )\n",
    "                             .then( pl.col('day_since_start') )\n",
    "                             .otherwise( None )\n",
    "                             .max()\n",
    "  )\n",
    "  .group_by('term_label', 'max_dss')\n",
    "  .agg( \n",
    "    n_ttl_pit = pl.when( pl.col('day_since_start') <= pl.col('max_dss') ).then(pl.col('n_cumul')).otherwise(None).max(),\n",
    "    n_ttl = pl.col('n_cumul').max(),\n",
    "   )\n",
    "   .with_columns( \n",
    "      n_ttl = pl.when( pl.col('term_label') == pl.col('term_label').max())\n",
    "                .then(None)\n",
    "                .otherwise( pl.col('n_ttl')) )\n",
    "  .sort('term_label')\n",
    ")\n",
    "\n",
    "n_days_in_office = df_pit.get_column('max_dss')[0]\n",
    "\n",
    "(\n",
    "  GT(df_pit)\n",
    "  .cols_hide('max_dss')\n",
    "  .tab_header(\n",
    "    title = 'Executive Orders Issued by Term',\n",
    "    subtitle = f'Normalized for first {n_days_in_office} days in office' +\n",
    "               f' ({n_days_in_office * 100 / (365*4 + 1):.1f}% of term)')\n",
    "  .tab_spanner(\n",
    "        label=\"Count\",\n",
    "        columns= cs.contains(\"ttl\")\n",
    "    )\n",
    "  .cols_label(\n",
    "    term_label = 'Term',\n",
    "    n_ttl_pit = 'Point in time',\n",
    "    n_ttl = 'Full term'\n",
    "  )\n",
    "  .cols_align('center')\n",
    "  .sub_missing(missing_text=\"-\")\n",
    "  .opt_row_striping()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#| label: txt-md\n",
    "\n",
    "I have some thoughts..."
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}