{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# US coffee expansion screen: reproducible companion\n",
    "\n",
    "## tl;dr\n",
    "\n",
    "This notebook describes an illustrative residential-tract screen, not profitable-site recommendations. This companion accompanies the 14 October 2026 Locus study and its frozen source data. The current analytical baseline excludes one exact-address issuer-confirmed OCF closure via `issuer-overrides.json` and follows the locked category rule (coffee_shop primary/hierarchy/alternate; cafe primary/hierarchy, not alternate alone). Raw inputs and both pre-correction computed histories are preserved. Headline retention did not change: 123/332 radius replacements and 61/332 category replacements. Read the approved article, business/category QA and validation receipts for current checks and unresolved real-world coverage.\n",
    "\n",
    "## Context & Methods\n",
    "\n",
    "Eight purposively selected counties; all eligible tract anchors. Overture release 2026-09-23.1; 2020\u20132024 ACS five-year estimates with 90% margins of error; aligned 2024 Gazetteer land areas/internal points. Baseline weights: residential density 50%, household income 20%, inverse nearby mapped coffee-shop count 30%. Within-county percentile ranks; top 10% rounded up. Radius 1 km versus 3 km and coffee-shop-only versus coffee/cafe are separate scenarios.\n",
    "\n",
    "### Key assumptions\n",
    "\n",
    "An anchor is not a candidate premise. Tract demographic estimates are not circular catchment demand. Coffee/cafe relevance depends on concept and occasion. Existence confidence is not open-status verification. Straight-line distances are not travel times. County screens are not nationally representative, and sparse commercial/large suburban tracts are excluded. Uniform within-MOE perturbations are stress tests, not confidence intervals.\n",
    "\n",
    "## Data\n",
    "\n",
    "The source files, full SQL and manifests are in `data/us-retail-expansion-study/2026-10-14/`. Public source identities: Overture official STAC/Places guide, Census official table-based ACS Summary File and Gazetteer. No API credentials or provider calls are required to rerun the saved-data calculations.\n"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "from pathlib import Path\n",
    "import json\n",
    "import csv\n",
    "import math\n",
    "import pandas as pd\n",
    "\n",
    "root = Path.cwd()\n",
    "while not (root / 'data/us-retail-expansion-study/2026-10-14').exists():\n",
    "    if root.parent == root: raise RuntimeError('Open notebook within the Locus checkout')\n",
    "    root = root.parent\n",
    "data = root / 'data/us-retail-expansion-study/2026-10-14'\n",
    "summary = json.loads((data/'analysis-summary.json').read_text(encoding='utf-8'))\n",
    "retention = pd.read_csv(data/'shortlist-retention.csv')\n",
    "tracts = pd.read_csv(data/'tract-scenarios.csv', dtype={'geoid':str})\n",
    "print(f\"Eligible tract anchors: {summary['anchors']:,}; source food/drink records: {summary['food_drink_rows']:,}\")\n",
    "print(retention.loc[retention.scenario=='baseline',['market','tracts','shortlist_size']].to_string(index=False))\n"
   ],
   "execution_count": 1,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Eligible tract anchors: 3,277; source food/drink records: 131,972\n",
      "                 market  tracts  shortlist_size\n",
      "        Austin / Travis     179              18\n",
      "                 Denver     163              17\n",
      "       Atlanta / Fulton     198              20\n",
      "Charlotte / Mecklenburg     202              21\n",
      "         Chicago / Cook    1064             107\n",
      "     Phoenix / Maricopa     763              77\n",
      "         Seattle / King     396              40\n",
      "           Philadelphia     312              32\n"
     ]
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results\n",
    "\n",
    "### 1. Re-derive shortlisted retention from the complete scenario table\n",
    "\n",
    "Counts are distinct tract identities. No averaging of percentages is used for the pooled retention denominator.\n"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "independent = []\n",
    "for scenario in summary['models']:\n",
    "    kept = total = 0\n",
    "    for market in tracts.market.unique():\n",
    "        base = set(tracts.loc[(tracts.market==market)&(tracts.scenario=='baseline')&tracts.shortlisted,'geoid'])\n",
    "        compared = set(tracts.loc[(tracts.market==market)&(tracts.scenario==scenario)&tracts.shortlisted,'geoid'])\n",
    "        kept += len(base & compared)\n",
    "        total += len(base)\n",
    "    expected = next(r for r in summary['pooled'] if r['scenario']==scenario)\n",
    "    assert kept==expected['retained'] and total==expected['baseline_shortlist_total']\n",
    "    independent.append({'scenario':scenario,'retained':kept,'baseline_total':total,'retention_percent':100*kept/total})\n",
    "print(pd.DataFrame(independent).to_string(index=False))\n"
   ],
   "execution_count": 2,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "             scenario  retained  baseline_total  retention_percent\n",
      "             baseline       332             332         100.000000\n",
      "           radius_3km       209             332          62.951807\n",
      "    expanded_category       271             332          81.626506\n",
      "        confidence_07       315             332          94.879518\n",
      "        confidence_09       319             332          96.084337\n",
      "           demand_led       209             332          62.951807\n",
      "         headroom_led       187             332          56.325301\n",
      "combined_3km_expanded       208             332          62.650602\n"
     ]
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. County-level radius and category comparisons\n",
    "\n",
    "County comparisons expose stable as well as unstable screens. Retention is not predictive accuracy or a business success rate.\n"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "print(retention.loc[retention.scenario.isin(['radius_3km','expanded_category']),\n",
    " ['market','scenario','retained','shortlist_size','retention_percent','tie_inclusive_retention_percent']].to_string(index=False))\n"
   ],
   "execution_count": 3,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "                 market          scenario  retained  shortlist_size  retention_percent  tie_inclusive_retention_percent\n",
      "        Austin / Travis        radius_3km        10              18          55.555556                        55.555556\n",
      "        Austin / Travis expanded_category        12              18          66.666667                        66.666667\n",
      "                 Denver        radius_3km        13              17          76.470588                        76.470588\n",
      "                 Denver expanded_category        15              17          88.235294                        88.235294\n",
      "       Atlanta / Fulton        radius_3km        11              20          55.000000                        55.000000\n",
      "       Atlanta / Fulton expanded_category        16              20          80.000000                        80.000000\n",
      "Charlotte / Mecklenburg        radius_3km        11              21          52.380952                        50.000000\n",
      "Charlotte / Mecklenburg expanded_category        18              21          85.714286                        86.363636\n",
      "         Chicago / Cook        radius_3km        74             107          69.158879                        69.158879\n",
      "         Chicago / Cook expanded_category        92             107          85.981308                        85.981308\n",
      "     Phoenix / Maricopa        radius_3km        45              77          58.441558                        58.441558\n",
      "     Phoenix / Maricopa expanded_category        62              77          80.519481                        80.519481\n",
      "         Seattle / King        radius_3km        21              40          52.500000                        52.500000\n",
      "         Seattle / King expanded_category        31              40          77.500000                        77.500000\n",
      "           Philadelphia        radius_3km        24              32          75.000000                        75.000000\n",
      "           Philadelphia expanded_category        25              32          78.125000                        78.125000\n"
     ]
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Standalone research figures\n",
    "\n",
    "Figures use exact county-level counts and a common 0\u2013100% scale. They are portable PNG assets for the draft article and notebook, not publication receipts.\n"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "from PIL import Image, ImageDraw, ImageFont\n",
    "import io\n",
    "import base64\n",
    "\n",
    "def make_figure(scenario, title, filename):\n",
    "    selected = retention.loc[retention.scenario==scenario].sort_values('retention_percent')\n",
    "    image = Image.new('RGB',(1500,1000),'white')\n",
    "    draw = ImageDraw.Draw(image)\n",
    "    font_path = Path('C:/Windows/Fonts/segoeui.ttf')\n",
    "    font = ImageFont.truetype(str(font_path),30) if font_path.exists() else ImageFont.load_default(size=30)\n",
    "    heading = ImageFont.truetype(str(font_path),42) if font_path.exists() else ImageFont.load_default(size=42)\n",
    "    small = ImageFont.truetype(str(font_path),24) if font_path.exists() else ImageFont.load_default(size=24)\n",
    "    draw.text((65,40),title,fill='#20252a',font=heading)\n",
    "    draw.text((65,104),'Share of baseline top-decile tracts retained \u2014 illustrative county screen',fill='#505a63',font=small)\n",
    "    left,right,top,bottom=500,1200,210,840\n",
    "    for tick in (0,25,50,75,100):\n",
    "        x=left+(right-left)*tick/100\n",
    "        draw.line((x,top-20,x,bottom),fill='#e5e8eb',width=2)\n",
    "        draw.text((x-18,bottom+15),f'{tick}%',fill='#505a63',font=small)\n",
    "    for i,row in enumerate(selected.itertuples()):\n",
    "        y=top+i*77\n",
    "        label={'Austin / Travis':'Travis, TX','Denver':'Denver, CO','Atlanta / Fulton':'Fulton, GA',\n",
    "        'Charlotte / Mecklenburg':'Mecklenburg, NC','Chicago / Cook':'Cook, IL','Phoenix / Maricopa':'Maricopa, AZ',\n",
    "        'Seattle / King':'King, WA','Philadelphia':'Philadelphia, PA'}[row.market]\n",
    "        draw.text((65,y-6),label,fill='#20252a',font=font)\n",
    "        x=left+(right-left)*row.retention_percent/100\n",
    "        draw.rectangle((left,y,x,y+36),fill='#276fa7')\n",
    "        value=f'{row.retention_percent:.1f}% ({row.retained}/{row.shortlist_size})'\n",
    "        draw.text((x+12,y-4),value,fill='#20252a',font=small)\n",
    "    draw.text((65,935),'Overture 23 Sep 2026; ACS 2020\u20132024. Not sales, profitability or national opportunity rankings.',fill='#505a63',font=small)\n",
    "    output=root/'research-articles/assets'/filename\n",
    "    output.parent.mkdir(parents=True,exist_ok=True)\n",
    "    image.save(output)\n",
    "    figure_images.append((filename,image))\n",
    "    print(filename)\n",
    "\n",
    "figure_images=[]\n",
    "make_figure('radius_3km','Changing the competition radius: 1 km to 3 km','2026-10-14-us-coffee-radius-retention.png')\n",
    "make_figure('expanded_category','Changing the definition: coffee shops to coffee/cafes','2026-10-14-us-coffee-category-retention.png')\n"
   ],
   "execution_count": 4,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "2026-10-14-us-coffee-radius-retention.png\n",
      "2026-10-14-us-coffee-category-retention.png\n"
     ]
    },
    {
     "output_type": "display_data",
     "metadata": {},
     "data": {
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      "text/plain": [
       "2026-10-14-us-coffee-radius-retention.png"
      ]
     }
    },
    {
     "output_type": "display_data",
     "metadata": {},
     "data": {
      "image/png": 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      "text/plain": [
       "2026-10-14-us-coffee-category-retention.png"
      ]
     }
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Business/category checks and adverse scenarios\n",
    "\n",
    "These additional checks were added after seeing the results. They do not adjudicate nearby identities, establish closures, estimate an error rate or bound missing businesses. Both baseline and comparison are recomputed under each treatment; the original eligibility and weights stay fixed. Specialist formats are not automatically errors.\n"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "qa = json.loads((data/'business-category-qa.json').read_text(encoding='utf-8'))\n",
    "print(f\"Full distance/category count comparisons against the final scenario rows: {qa['full_distance_category_count_checks']:,}\")\n",
    "policy_names = {'final_locked_definition':'Final model','exclude_fixed_unresolved_sample':'Remove unresolved sample',\n",
    " 'exclude_fixed_format_review':'Remove flagged formats','exclude_specialist_cafe_taxonomy':'Remove specialist cafes',\n",
    " 'one_per_same_name_nearby_component':'One per same-name group','one_per_all_nearby_component':'One per nearby group',\n",
    " 'exclude_all_nearby_flagged_records':'Remove all nearby flags','source_open_only':'Source-open records only'}\n",
    "table = pd.DataFrame(qa['pooled_adverse_scenarios'])\n",
    "table['Treatment'] = table.policy.map(policy_names)\n",
    "table['Test'] = table.comparison.map({'radius_3km':'Radius','expanded_category':'Category'})\n",
    "table['Retained'] = table.retained.astype(str)+'/'+table.denominator.astype(str)\n",
    "table['Replaced (%)'] = table.replaced_percent.round(1)\n",
    "print(table[['Treatment','Test','Retained','Replaced (%)']].to_string(index=False))\n",
    "assert next(r for r in qa['pooled_adverse_scenarios'] if r['policy']=='final_locked_definition' and r['comparison']=='radius_3km')['retained']==209\n",
    "assert next(r for r in qa['pooled_adverse_scenarios'] if r['policy']=='final_locked_definition' and r['comparison']=='expanded_category')['retained']==271\n"
   ],
   "execution_count": 5,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Full distance/category count comparisons against the final scenario rows: 13,108\n",
      "               Treatment     Test Retained  Replaced (%)\n",
      "             Final model   Radius  209/332          37.0\n",
      "             Final model Category  271/332          18.4\n",
      "Remove unresolved sample   Radius  209/332          37.0\n",
      "Remove unresolved sample Category  271/332          18.4\n",
      "  Remove flagged formats   Radius  210/332          36.7\n",
      "  Remove flagged formats Category  272/332          18.1\n",
      " Remove specialist cafes   Radius  209/332          37.0\n",
      " Remove specialist cafes Category  272/332          18.1\n",
      " One per same-name group   Radius  209/332          37.0\n",
      " One per same-name group Category  271/332          18.4\n",
      "    One per nearby group   Radius  209/332          37.0\n",
      "    One per nearby group Category  271/332          18.4\n",
      " Remove all nearby flags   Radius  206/332          38.0\n",
      " Remove all nearby flags Category  268/332          19.3\n",
      "Source-open records only   Radius  212/332          36.1\n",
      "Source-open records only Category  268/332          19.3\n"
     ]
    }
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Takeaways\n",
    "\n",
    "Use sensitivity to decide what to investigate, not to declare that a model is wrong. Radius and category changes alter scope; weighting changes alter priorities. Mapping completeness and current business status require separate validation.\n",
    "\n",
    "### Validation\n",
    "\n",
    "`scripts/us-retail-expansion-study/validate.py` independently re-derives every demographic input and score/shortlist row, and spot-checks category/distance counts for three fixed GEOID positions per county. The separate business/category audit rechecks all 13,108 counts in the four main radius/category scenarios using a separate distance-matrix/pandas implementation. Read `validation-receipt.json` and `business-category-qa.json` for completed checks and explicit unverified coverage. The notebook cell runner executes these cells top-to-bottom in standard Python; a Jupyter kernel/UI is not used.\n"
   ]
  }
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