Fourth lens on the Board, coloring each county by the D/R balance of the
state + federal representatives who cover it — the offices that are
actually partisan (99% D/R coverage vs ~0% for nonpartisan local seats).
Pipeline (build_viz.py):
- Carry each district rep's party alongside their name through the
county<->district edge mapping.
- Per county, tally reps by party over districts covering >=5% of its
area (slivers excluded), and store lean = (R-D)/(R+D) in [-1,+1] plus
repD/repR counts. Head-count, not area-weighted, so the number matches
the readout and isn't skewed toward large rural districts. 3130/3131
counties resolve.
Board (board.html):
- "Partisan lean" lens with a diverging blue<->grey<->red ramp (centered
at 0, skipped in the percentile-rank machinery the other lenses use).
- Diverging legend (More Democratic / More Republican).
- Readout gains a Representation row (e.g. "8 D · 3 R D+45").
- Drill-down district reps get a D/R party badge.
Verified in preview: no console errors; Manhattan -1.0 (21D/0R), LA -0.46,
Palm Beach even (3D/3R), Loving TX +1.0; readout, color, and badges agree.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
build_viz.py was resolving officials to counties without the place→county
crosswalk, so only FL's 67 counties had rosters. Factor the resolver out of
build.py into a shared build.place_resolver() and use it in both, so the
Board and the tree agree by construction.
- scripts/build.py — extract place_resolver(); main() now calls it (tree
output byte-identical, refactor is behavior-preserving)
- scripts/build_viz.py — resolve via the shared resolver
- viz/county_data.json, viz/county_detail.json — regenerated
County drill-downs: 67 → 1049 counties with rosters; officials mapped
5184/5226 (42 county-unresolvable, tree-only). Deterministic.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Re-exported directly from Postgres (10.0.0.116), not Atlas's introspection,
which under-reported the roster (its v3 export had 11,473, missing the
restored Florida League of Cities municipal set). Live DB current tenures:
state 7,561 · municipal 4,009 · county 1,217 · federal 542.
- build.py now reads officeholders-v3.jsonl (was v2); dataset vintage 2026-07-04
- fixed one corrupt start_date at source-export (21021-12-03 -> 2021-12-03,
Lorraine Borowski, Mayor of Decorah IA)
- scripts/build_viz.py: committed, deterministic generator for the Board's
county_data.json / county_detail.json (previously built ad-hoc)
- generate_changelog.py: ignore files whose only change is the vintage stamp,
so the diff reflects government change, not re-export bookkeeping
Person files 11,285 -> 13,329. Non-FL municipal officials (1,903) are in the
tree but not yet county-mappable (place->county crosswalk still NULL).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The map grew with the data. The old Board showed coverage at the state
level with a Florida drill-down; now that every US county is a demographic
node, the Board renders all 3,109 contiguous counties directly, with
switchable lenses:
Coverage — the true fog of war: 67 FL counties lit (officeholders
mirrored), the other 3,000+ dark on the frontier.
Population — ACS 2023 choropleth, 33 to 9.8M.
Median income — k to k.
Poverty rate — 1.4% to 48%.
Hover any county for its full readout (demographics + officeholder count).
Self-contained: inlined county geometry (duplicate-point-collapsed),
state-border overlay, hand-rolled projection, event-delegated hover for
3,109 paths, vanilla JS — no external requests. Verified: projection
places counties correctly, 3,099/3,109 join to ACS data.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Fabio