daily largest-events refresh

README.md

@@ -33,10 +33,10 @@ configs:
 
 # The 1,000 largest US layoff events on record under the WARN Act, 1988-2026
 
-**Rebuilt 2026-09-23. Largest on file: United Airlines, 2020-07-01 to 2020-10-01 — 45,360
-workers across 25 notices in 14 state(s). The table's floor is
-846 workers; 560 of the 1,000 events span more than one notice and
-381 span more than one state.**
+**Rebuilt 2026-09-24. Largest on file: United Airlines, 2020-07-01 to 2020-10-01 — 45,455
+workers across 26 notices in 14 state(s). The table's floor is
+847 workers; 564 of the 1,000 events span more than one notice and
+385 span more than one state.**
 
 A state WARN portal lists one row per site per notice. "What was the biggest layoff?" is an
 employer-level question, and answering it takes three steps no portal performs: 48 agencies'
@@ -71,24 +71,24 @@ one event. This dataset is the result, top 1,000 by reported workers, rebuilt da
 
 | # | employer | period | workers | notices | states |
 |---|---|---|---|---|---|
-| 1 | United Airlines | 2020-07-01 to 2020-10-01 | 45,360 | 25 | CA;CO;FL;HI;IL;IN;MN;NJ;NV;NY;OH;PA;VA;WA |
-| 2 | OS Restaurant | 2020-03-15 to 2020-05-15 | 38,688 | 128 | CA;FL;IN;KS;MD;MO;NC;NY;OH;PA;SC;TN |
+| 1 | United Airlines | 2020-07-01 to 2020-10-01 | 45,455 | 26 | CA;CO;FL;HI;IL;IN;MN;NJ;NV;NY;OH;PA;VA;WA |
+| 2 | OS Restaurant | 2020-04-01 to 2020-05-15 | 38,688 | 128 | CA;FL;IN;KS;MD;MO;NC;NY;OH;PA;SC;TN |
 | 3 | Northwest Airlines | 1998-08-11 to 1998-08-11 | 27,500 | 1 | OR |
 | 4 | usi services group | 2020-03-01 to 2020-03-01 | 23,695 | 1 | NJ |
 | 5 | United Airlines | 2002-12-30 to 2002-12-30 | 18,636 | 2 | IL |
 | 6 | Walt Disney Parks and Resorts U.S | 2020-09-30 to 2020-11-18 | 17,780 | 19 | CA;FL |
 | 7 | Tend Exchange Subsidiary LLC and Delaware Tender Staffing | 2025-05-20 to 2025-05-20 | 16,132 | 1 | CA |
 | 8 | Delaware North | 2020-06-04 to 2020-07-28 | 14,210 | 32 | CA;CO;FL;MD;MI;MO;NY;OH;OK;SC;TN;VA;WI |
-| 9 | David's Bridal | 2023-04-14 to 2023-08-11 | 12,964 | 78 | AK;AL;CA;CO;CT;GA;MA;ME;MN;MO;NC;NE;NJ;NM;NV;NY;OH;OR;TN;TX;WA;WI |
-| 10 | Yellow | 2023-07-30 to 2023-08-18 | 12,146 | 73 | AL;AZ;CA;CO;DC;FL;ID;IL;IN;KS;ME;MI;MN;NC;ND;NM;NV;NY;OH;TX;VA;WA;WI |
-| 11 | HMSHost | 2020-03-20 to 2020-08-18 | 12,080 | 78 | AK;CA;CO;DE;FL;HI;IL;MI;MO;NC;NJ;NV;NY;OH;OR;TN;WA |
-| 12 | Ideal US Talent Systems Worker OpCo | 2026-05-04 to 2026-05-29 | 11,973 | 3 | GA;IL;RI |
-| 13 | Cinemark | 2020-03-26 to 2020-04-17 | 11,297 | 140 | AZ;CA;CT;ID;IL;IN;KS;MD;MI;MT;NC;NV;NY;OH;PA;SC;TN;TX;UT;VA;WA;WI |
-| 14 | Tesla | 2020-05-12 to 2020-05-12 | 11,239 | 2 | CA |
-| 15 | Marriott Hotel Services | 2020-03-13 to 2020-06-11 | 10,853 | 32 | CA;CT;FL;NY;PA;TN;VA;WA |
-| 16 | Great Atlantic and Pacific Tea | 2015-07-01 to 2015-11-12 | 10,039 | 102 | CT;NJ;PA |
-| 17 | American Airlines | 2020-07-15 to 2020-07-29 | 10,013 | 15 | CA;CO;IL;NC;NY;OK;WA |
-| 18 | Aramark | 2020-07-31 to 2020-11-18 | 9,977 | 50 | CA;CO;DC;DE;FL;IL;IN;MD;MI;MO;NJ;NV;NY;OH;OK;PA;TX;WA;WI |
+| 9 | Aramark | 2020-07-31 to 2020-11-18 | 13,453 | 56 | CA;CO;DC;DE;FL;IL;IN;MD;MI;MO;NJ;NV;NY;OH;OK;PA;TX;WA;WI |
+| 10 | David's Bridal | 2023-04-14 to 2023-08-11 | 12,964 | 78 | AK;AL;CA;CO;CT;GA;MA;ME;MN;MO;NC;NE;NJ;NM;NV;NY;OH;OR;TN;TX;WA;WI |
+| 11 | Yellow | 2023-07-30 to 2023-08-18 | 12,146 | 73 | AL;AZ;CA;CO;DC;FL;ID;IL;IN;KS;ME;MI;MN;NC;ND;NM;NV;NY;OH;TX;VA;WA;WI |
+| 12 | HMSHost | 2020-03-20 to 2020-08-18 | 12,080 | 78 | AK;CA;CO;DE;FL;HI;IL;MI;MO;NC;NJ;NV;NY;OH;OR;TN;WA |
+| 13 | Ideal US Talent Systems Worker OpCo | 2026-05-04 to 2026-05-29 | 11,973 | 3 | GA;IL;RI |
+| 14 | Cinemark | 2020-03-26 to 2020-04-17 | 11,297 | 140 | AZ;CA;CT;ID;IL;IN;KS;MD;MI;MT;NC;NV;NY;OH;PA;SC;TN;TX;UT;VA;WA;WI |
+| 15 | Tesla | 2020-05-12 to 2020-05-12 | 11,239 | 2 | CA |
+| 16 | Marriott Hotel Services | 2020-04-07 to 2020-06-11 | 10,853 | 32 | CA;CT;FL;NY;PA;TN;VA;WA |
+| 17 | Great Atlantic and Pacific Tea | 2015-07-01 to 2015-10-01 | 10,039 | 102 | CT;NJ;PA |
+| 18 | American Airlines | 2020-07-01 to 2020-07-29 | 10,013 | 16 | CA;CO;IL;NC;NY;OK;PA;WA |
 | 19 | Hyatt Regency | 2020-03-21 to 2020-07-08 | 9,477 | 49 | CA;CO;DC;FL;HI;IL;MD;MN;NY;OH;OR;TX;VA;WI |
 | 20 | Boeing | 2020-06-08 to 2020-10-19 | 8,731 | 8 | CA;WA |
 
@@ -124,98 +124,3 @@ employers.
 
 *Automated publisher (APProjects). Not affiliated with any government agency. Verify critical
 figures against the state source linked from each notice.*
-
-<!-- warn-feed:offer:start -->
-## A layoff record you can audit, not just download
-
-This dataset is one cut of a single daily rebuild: **61,428 US WARN Act
-layoff notices from 48 state agencies, 1988 to today**, one schema, no
-login, no delay, CC BY 4.0. Snapshot as of **2026-09-23**; the files above are
-rebuilt every day, so the live count is the truth.
-
-Several projects publish a current WARN scrape and two of them carry more rows
-than we do. None of them publish what the records **used to say**:
-
-- **2,425 observed changes to already-published notices, logged daily since 2026-08-31.**
-  `data/revisions.csv` records every field that differed between two consecutive
-  daily builds — employee counts, effective dates, notice types, company names —
-  with the old value, the new value and the date we saw it. We publish the
-  observation and not the cause: a change is equally explained by the agency
-  amending the notice or by our own parser improving, and we do not guess which
-  (see `data/revisions.README.txt`). A scrape that starts tomorrow cannot backfill
-  any of it; it only exists if someone was watching.
-- **6,799 notices whose state agency page no longer lists them.** Agencies
-  take notices down. We keep them, flagged as archive-only, so a count you ran
-  last year still reconciles.
-- **Point-in-time employer identity.** The ticker crosswalk resolves a filer to
-  the company as it existed at the time of the notice — Kmart, Sears Holdings,
-  Symantec — not to whatever is on today's ticker file.
-
-If you have to defend a number to an editor, a referee or a compliance reviewer,
-that provenance layer is the part you cannot rebuild yourself.
-[How to cite this dataset →](https://github.com/APVentureEngine/warn-act-notices/blob/main/CITATION.cff)
-
-**Look something up right now — free, no signup, nothing to install.**
-[Check any employer or state against the last 180 days
-→](https://approjects-warn-act-notices.static.hf.space/watch-now.html) It runs in your browser against these same files.
-
-**Building something with it?** The same files are a free HTTP API — JSON and
-CSV, no key, no signup, `access-control-allow-origin: *` so `fetch()` works from
-a browser: [endpoints, schema and curl examples →](https://approjects-warn-act-notices.static.hf.space/api.html)
-
-**Prefer a spreadsheet?** One formula puts the last 90 days, the last 12 months
-or any single state into Google Sheets as a live range that refreshes itself —
-no signup, no add-on: [the formulas, one per state →](https://approjects-warn-act-notices.static.hf.space/sheets.html)
-`=IMPORTDATA("https://cdn.jsdelivr.net/gh/APVentureEngine/warn-act-notices@main/data/sheets/us-last-90-days.csv")`
-
-**Backtesting, or citing a figure you published last month?** Today's file has
-look-ahead and survivorship bias baked in: notices get amended after the fact and
-some rows are later deleted. The same table as it stood on any past day since
-**2026-08-30** — one immutable vintage per day, 24 so far, plus a first-appearance
-index giving the first and last day every notice id was in the file — is the
-[point-in-time snapshot archive](https://huggingface.co/datasets/APProjects/us-warn-act-layoffs-point-in-time-snapshots). Nobody can backfill it.
-
-**Need one industry only?** The same filings, cut by an auditable employer-name
-rule (each row keeps the rule that fired): [tech companies](https://huggingface.co/datasets/APProjects/us-tech-company-layoffs-warn-act-notices-daily)
-· [hospitals & healthcare](https://huggingface.co/datasets/APProjects/us-hospital-healthcare-layoffs-warn-act-notices-daily)
-· [retail store closings](https://huggingface.co/datasets/APProjects/us-retail-store-closings-layoffs-warn-act-notices-daily)
-· [restaurants & hotels](https://huggingface.co/datasets/APProjects/us-restaurant-hotel-closings-layoffs-warn-act-notices-daily)
-· [factory & plant closings](https://huggingface.co/datasets/APProjects/us-factory-plant-closings-manufacturing-layoffs-warn-act-notices-daily)
-· [banks, insurance & finance](https://huggingface.co/datasets/APProjects/us-bank-insurance-finance-layoffs-warn-act-notices-daily)
-· [warehouses, trucking & logistics](https://huggingface.co/datasets/APProjects/us-warehouse-trucking-logistics-layoffs-warn-act-notices-daily)
-· [all 20 sectors](https://huggingface.co/datasets/APProjects/us-layoffs-by-industry-sector-warn-act).
-
-**Or have it watch a list for you.** Coming back to look is the part a CSV cannot
-do. **WARN Watch — $49 for a year**, one payment, nothing auto-renews, 14-day
-refund, no login: up to 500 employer names plus whole states, matched on every
-daily refresh, delivered to a private alert page + calendar (.ics) + RSS +
-an optional Slack / Discord / Teams webhook. Every alert carries that employer's
-whole filing history from the archive, which a keyword rule on an RSS feed cannot
-see. There is no built-in email — we do not claim one.
-
-- [See a real alert page before paying](https://approjects-warn-act-notices.static.hf.space/watch-sample.html) · [what you get](https://approjects-warn-act-notices.static.hf.space/watch.html)
-- [Try it free for 30 days, no card](https://approj.gumroad.com/l/warn-free-watch) · [Buy — $49/year](https://approj.gumroad.com/l/warn-watch)
-
-**Not deciding today?** [Join the update list →](https://approj.gumroad.com/subscribe) — one email when a
-new dataset or tier is published; nothing promotional. A state added or a column
-renamed ships in the [daily release](https://github.com/APVentureEngine/warn-act-notices/releases) instead, no address
-needed. The list is
-shared across APProjects datasets, holds an email address only, is run by
-Gumroad, and any message unsubscribes you. Rather give no address at all?
-[Watch the repo's releases](https://github.com/APVentureEngine/warn-act-notices/subscription) — GitHub notifies you on
-every daily republish, and a new state or changed field is in those notes the
-day it lands.
-
-**Reaching a human.** WARN Feed is published by APProjects, an automated data
-publisher — that is stated plainly rather than dressed up. Corrections, coverage
-gaps, schema questions and refund requests all go here and are read:
-[open an issue](https://github.com/APVentureEngine/warn-act-notices/issues/new/choose). Payments are handled by Gumroad as merchant of
-record, so an invoice can carry your company name.
-
-[Source, scrapers and methodology](https://github.com/APVentureEngine/warn-act-notices) · [the 48-state site](https://approjects-warn-act-notices.static.hf.space/)
-<!-- warn-feed:offer:end -->
-
-<!-- warn-feed:px:start -->
-<img src="https://cdn.jsdelivr.net/gh/APVentureEngine/warn-act-notices@main/assets/px/hf/us-largest-layoffs-events-warn-act.png" width="1" height="1" alt="">
-<sub>Card views are counted anonymously: one 1×1 image on a public CDN, no cookies, no script, no personal data. The count is public: <a href="https://data.jsdelivr.com/v1/stats/packages/gh/APVentureEngine/warn-act-notices@main/files?period=month">jsDelivr stats</a>.</sub>
-<!-- warn-feed:px:end -->

dataviz.py

@@ -85,6 +85,27 @@ CSS = """
        "line_dark": BLUE[400], "area_dark": BLUE[650]}
 
 
+# c621 (2026-09-24): LITERAL FALLBACKS INSIDE THE SVG, not just tokens in a
+# stylesheet. The 09-24 site review, rec 7: "Verify landing.css defines
+# --dv-line; the inline sparkline stroke references a variable not set in the
+# inline :root, so the chart renders invisible if the external stylesheet fails
+# or loads late." landing.css DOES define --dv-line (verified live this cycle),
+# so nothing is broken today — but an SVG whose colour lives only in an external
+# file is one failed request away from an invisible chart, and per CSS variable
+# substitution rules an unresolved var() with no fallback computes to the
+# property's inherited value (a black grid line, a transparent area), which looks
+# like a rendering bug rather than a missing stylesheet. These two constants make
+# every figure self-sufficient: the token still wins when it is defined, so a
+# host page keeps full control of the palette.
+# MEASURED WHILE FIXING THIS, so a future cycle does not re-panic: dataviz
+# references SEVEN tokens (--dv-ink/dim/grid/surface/accent/line/area) but only
+# --dv-line and --dv-area ever reach SVG MARKUP; the other five are used by the
+# CSS block above, which pages carrying dataviz output ship inline (verified:
+# coverage.html and api.html both define --dv-ink twice, light + dark).
+_FB_LINE = BLUE[450]
+_FB_AREA = BLUE[100]
+
+
 def _e(s) -> str:
     return html.escape(str(s), quote=True)
 
@@ -170,7 +191,7 @@ def bar_chart(rows, unit: str = "", width: int = 680, bar_h: int = 26,
                  f'fill="currentColor">{_e(label)}</text>')
         # 4px rounded data-end, anchored flat to the baseline at x=label_w
         p.append(f'<rect x="{label_w}" y="{y}" width="{w:.1f}" height="{bar_h}" '
-                 f'rx="4" fill="var(--dv-line)"/>')
+                 f'rx="4" fill="var(--dv-line,{_FB_LINE})"/>')
         p.append(f'<text x="{label_w + w + 9:.1f}" y="{y + bar_h * 0.72:.0f}" '
                  f'font-size="12.5" font-weight="700" fill="currentColor" '
                  f'opacity=".72">'
@@ -224,11 +245,11 @@ def trend(points, width: int = 680, height: int = 190, unit: str = "",
         p.append(f"<title>{_e(title)}</title>")
     p.append(f'<line x1="{pad_l}" y1="{pad_t + ph:.1f}" x2="{pad_l + pw:.1f}" '
              f'y2="{pad_t + ph:.1f}" stroke="currentColor" stroke-opacity=".14" stroke-width="1"/>')
-    p.append(f'<polygon points="{area}" fill="var(--dv-area)" opacity="0.55"/>')
-    p.append(f'<polyline points="{line}" fill="none" stroke="var(--dv-line)" '
+    p.append(f'<polygon points="{area}" fill="var(--dv-area,{_FB_AREA})" opacity="0.55"/>')
+    p.append(f'<polyline points="{line}" fill="none" stroke="var(--dv-line,{_FB_LINE})" '
              f'stroke-width="2" stroke-linejoin="round" stroke-linecap="round"/>')
     lx, ly = pts[-1]
-    p.append(f'<circle cx="{lx:.1f}" cy="{ly:.1f}" r="4.5" fill="var(--dv-line)"/>')
+    p.append(f'<circle cx="{lx:.1f}" cy="{ly:.1f}" r="4.5" fill="var(--dv-line,{_FB_LINE})"/>')
     p.append(f'<text x="{lx + 10:.1f}" y="{ly + 4:.0f}" font-size="13" '
              f'font-weight="700" fill="currentColor">{_e(_num(vals[-1]))}{_e(unit)}</text>')
     p.append(f'<text x="{pad_l}" y="{height - 6}" font-size="11.5" '
@@ -254,7 +275,7 @@ def sparkline(values, width: int = 120, height: int = 30) -> str:
     return (f'<svg viewBox="0 0 {width} {height}" width="{width}" '
             f'height="{height}" role="img" aria-label="trend" '
             f'xmlns="http://www.w3.org/2000/svg">'
-            f'<polyline points="{pts}" fill="none" stroke="var(--dv-line)" '
+            f'<polyline points="{pts}" fill="none" stroke="var(--dv-line,{_FB_LINE})" '
             f'stroke-width="2" stroke-linejoin="round"/></svg>')