802c49a89d
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>
359 lines
3.4 MiB
Plaintext
359 lines
3.4 MiB
Plaintext
<title>Republic OS — The Board</title>
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<div class="board" id="board">
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<section class="stage">
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<div class="eyebrow">Republic OS · the board</div>
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<h1 id="title">Every county in America, and what it's made of.</h1>
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<div class="lenses" id="lenses"></div>
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<div class="mapwrap"><svg id="map" preserveAspectRatio="xMidYMid meet"></svg><div class="maphint">scroll to zoom · drag to pan · double-click to reset</div></div>
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<div class="stagefoot" id="stagefoot"></div>
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</section>
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<aside class="rail">
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<div class="readout" id="readout">
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<div class="ro-name">▸ Readout</div>
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<div class="ro-hint" style="margin-top:10px">Hover to read a county; click to open it.</div>
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</div>
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<div class="legend"><h2 id="legend-title">Legend</h2><div id="legend"></div></div>
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<div>
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<h2>The mirror, counted</h2>
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<div class="totals">
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<div class="tile t"><div class="n" id="t-people">—</div><div class="k">Officeholders</div></div>
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<div class="tile"><div class="n" id="t-cand">—</div><div class="k">Candidates</div></div>
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<div class="tile"><div class="n" id="t-counties">—</div><div class="k">Counties</div></div>
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<div class="tile a"><div class="n" id="t-districts">—</div><div class="k">Districts</div></div>
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</div>
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</div>
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<div class="ledger" id="ledger">Every one of 3,131 counties carries Census demographics — switch lenses to read income, population, or poverty across the whole country. Hover any county for its full profile; every value resolves to a sourced <b>Jurisdiction</b> file.</div>
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</aside>
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<div class="modal" id="modal" hidden>
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<div class="backdrop" id="backdrop"></div>
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<div class="sheet" role="dialog" aria-modal="true" aria-label="County detail">
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<button class="close" id="close">esc ×</button>
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<div id="sheet-body"></div>
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</div>
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</div>
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</div>
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||
const STATES = 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||
const fmtLean=n=>n==null?"—":(Math.abs(n)<0.02?"Even":(n>0?"R+":"D+")+Math.round(Math.abs(n)*100));
|
||
|
||
// ---- projection fit over all county coordinates (CONUS) ----
|
||
let minx=1e9,miny=1e9,maxx=-1e9,maxy=-1e9;
|
||
function scan(g){(g.type==="Polygon"?[g.coordinates]:g.coordinates).forEach(poly=>poly.forEach(r=>r.forEach(([x,y])=>{
|
||
if(x<minx)minx=x;if(x>maxx)maxx=x;if(y<miny)miny=y;if(y>maxy)maxy=y;})));}
|
||
COUNTIES.features.forEach(f=>scan(f.geometry));
|
||
const midLat=(miny+maxy)/2, kx=Math.cos(midLat*Math.PI/180);
|
||
const sw=(maxx-minx)*kx, sh=(maxy-miny), s=Math.min((W-2*PAD)/sw,(H-2*PAD)/sh);
|
||
const ox=(W-sw*s)/2, oy=(H-sh*s)/2;
|
||
const P=(x,y)=>[ (ox+(x*kx-minx*kx)*s).toFixed(1), (oy+(maxy-y)*s).toFixed(1) ];
|
||
function pathFor(g){let d="";(g.type==="Polygon"?[g.coordinates]:g.coordinates).forEach(poly=>poly.forEach(r=>{
|
||
r.forEach((pt,i)=>{const[x,y]=P(pt[0],pt[1]); d+=(i?"L":"M")+x+" "+y;}); d+="Z";})); return d;}
|
||
|
||
// ---- lenses ----
|
||
const LENSES={
|
||
income:{label:"Median income", field:"income", fmt:fmt$, lo:[28,54,42], hi:[150,246,142]},
|
||
pop:{label:"Population", field:"pop", fmt:fmtN, lo:[22,48,60], hi:[96,236,244]},
|
||
poverty:{label:"Poverty rate", field:"poverty", fmt:fmtP, lo:[48,40,36], hi:[252,150,96]},
|
||
partisan:{label:"Partisan lean", field:"lean", fmt:fmtLean, diverging:true, dem:[74,124,255], mid:[122,120,140], rep:[240,72,72]},
|
||
};
|
||
const ORDER=["income","pop","poverty","partisan"];
|
||
let cur="income", domains={};
|
||
|
||
const ranks={}; // sorted value arrays, for percentile (rank) coloring
|
||
for(const key of ORDER){ const L=LENSES[key]; if(!L.field||L.diverging)continue;
|
||
let lo=1e15,hi=-1e15; const vals=[];
|
||
Object.values(D).forEach(v=>{const x=v[L.field]; if(x!=null){vals.push(x); if(x<lo)lo=x;if(x>hi)hi=x;}});
|
||
domains[key]=[lo,hi];
|
||
ranks[key]=vals.sort((a,b)=>a-b);
|
||
}
|
||
function rankT(key,x){ const a=ranks[key]; let lo=0,hi=a.length;
|
||
while(lo<hi){const m=(lo+hi)>>1; if(a[m]<x)lo=m+1; else hi=m;}
|
||
return a.length>1 ? lo/(a.length-1) : 0.5; }
|
||
function mix(a,b,t){return `rgb(${a.map((x,i)=>Math.round(x+(b[i]-x)*t)).join(",")})`;}
|
||
function colorFor(fips){
|
||
const v=D[fips]; if(!v) return "#101720";
|
||
const L=LENSES[cur]; const x=v[L.field];
|
||
if(x==null) return "#18212e";
|
||
if(L.diverging){ const side = x<0 ? L.dem : L.rep; // blue↔grey↔red, centered at 0
|
||
return mix(L.mid, side, 0.16+0.84*Math.min(1,Math.abs(x))); }
|
||
return mix(L.lo, L.hi, 0.14+0.86*rankT(cur,x)); // percentile spread, per-lens ramp
|
||
}
|
||
|
||
// ---- render (single innerHTML string; event delegation for hover) ----
|
||
function render(){
|
||
let html="";
|
||
COUNTIES.features.forEach(f=>{
|
||
html+=`<path class="county" data-f="${f.id}" fill="${colorFor(f.id)}" d="${pathFor(f.geometry)}"></path>`;
|
||
});
|
||
STATES.features.forEach(f=>{ html+=`<path class="stateline" d="${pathFor(f.geometry)}"></path>`; });
|
||
map.innerHTML='<g id="mapg">'+html+'</g>'; mapg=document.getElementById("mapg"); applyTransform();
|
||
}
|
||
function recolor(){ map.querySelectorAll(".county").forEach(p=>p.setAttribute("fill",colorFor(p.dataset.f))); }
|
||
|
||
// ---- zoom / pan (transform on <g id="mapg">; strokes are non-scaling) ----
|
||
let mapg=null, zk=1, ztx=0, zty=0;
|
||
const ZMIN=1, ZMAX=16;
|
||
function clampPan(){ ztx=Math.min(0,Math.max((1-zk)*W, ztx)); zty=Math.min(0,Math.max((1-zk)*H, zty)); }
|
||
function applyTransform(){ if(!mapg)return; clampPan();
|
||
mapg.setAttribute("transform",`translate(${ztx.toFixed(2)} ${zty.toFixed(2)}) scale(${zk.toFixed(4)})`); }
|
||
function vbPoint(e){ const pt=map.createSVGPoint(); pt.x=e.clientX; pt.y=e.clientY;
|
||
const m=map.getScreenCTM(); return m?pt.matrixTransform(m.inverse()):{x:0,y:0}; }
|
||
map.addEventListener("wheel",e=>{
|
||
e.preventDefault();
|
||
const v=vbPoint(e), old=zk;
|
||
zk=Math.min(ZMAX,Math.max(ZMIN, zk*(e.deltaY<0?1.18:1/1.18)));
|
||
if(zk===old)return;
|
||
ztx=v.x-(v.x-ztx)*(zk/old); zty=v.y-(v.y-zty)*(zk/old);
|
||
applyTransform();
|
||
},{passive:false});
|
||
const wrap=document.querySelector(".mapwrap");
|
||
let dragging=false, dragLast=null, dragStart=null, dragMoved=false;
|
||
map.addEventListener("pointerdown",e=>{
|
||
dragging=true; dragMoved=false; dragStart=dragLast=vbPoint(e);
|
||
wrap.classList.add("grab"); try{map.setPointerCapture(e.pointerId);}catch(_){}
|
||
});
|
||
map.addEventListener("pointermove",e=>{
|
||
if(!dragging)return;
|
||
const v=vbPoint(e); ztx+=v.x-dragLast.x; zty+=v.y-dragLast.y; dragLast=v;
|
||
if(Math.hypot(v.x-dragStart.x, v.y-dragStart.y)>3) dragMoved=true;
|
||
applyTransform();
|
||
});
|
||
function endDrag(e){ dragging=false; wrap.classList.remove("grab"); try{map.releasePointerCapture(e.pointerId);}catch(_){} }
|
||
map.addEventListener("pointerup",endDrag);
|
||
map.addEventListener("pointercancel",endDrag);
|
||
map.addEventListener("dblclick",e=>{ e.preventDefault(); zk=1; ztx=0; zty=0; applyTransform(); });
|
||
|
||
// ---- readout ----
|
||
const readout=document.getElementById("readout");
|
||
function show(fips){
|
||
const v=D[fips]; if(!v)return;
|
||
readout.innerHTML=`
|
||
<div class="ro-name">${v.name}</div>
|
||
<div class="ro-sub">${v.state}${v.oh>0?` · <span style="color:var(--amber)">${v.oh} officeholders</span>`:""}</div>
|
||
<div class="ro-rows">
|
||
<div class="ro-row"><span>Population</span><span class="v">${fmtN(v.pop)}</span></div>
|
||
<div class="ro-row"><span>Median household income</span><span class="v">${fmt$(v.income)}</span></div>
|
||
<div class="ro-row"><span>Poverty rate</span><span class="v">${fmtP(v.poverty)}</span></div>
|
||
<div class="ro-row"><span>Homeownership</span><span class="v">${fmtP(v.home)}</span></div>
|
||
<div class="ro-row"><span>Officeholders</span><span class="v ${v.oh>0?'on':'off'}">${v.oh||"—"}</span></div>
|
||
<div class="ro-row"><span>Representation</span><span class="v">${repLabel(v)} ${v.lean!=null?`<span class="pty ${Math.abs(v.lean)<0.02?'E':(v.lean<0?'D':'R')}">${fmtLean(v.lean)}</span>`:""}</span></div>
|
||
</div>`;
|
||
}
|
||
function repLabel(v){ const d=v.repD||0, r=v.repR||0; if(d+r===0) return "—";
|
||
return [d?`${d} D`:"", r?`${r} R`:""].filter(Boolean).join(" · "); }
|
||
let hot=null;
|
||
map.addEventListener("mousemove",e=>{
|
||
const t=e.target; if(!t.dataset||!t.dataset.f)return;
|
||
if(t!==hot){ if(hot)hot.classList.remove("hot"); hot=t; hot.classList.add("hot"); show(t.dataset.f); }
|
||
});
|
||
|
||
// ---- drill-down modal ----
|
||
const modal=document.getElementById("modal"), sheetBody=document.getElementById("sheet-body");
|
||
const GH="https://github.com/Influence-Tools/republic-os/tree/main/data/jurisdictions/us/states/";
|
||
const slugify=s=>s.toLowerCase().replace(/[^a-z0-9]+/g,"-").replace(/^-|-$/g,"");
|
||
function flip(n){ if(n&&n.includes(",")){const p=n.split(",").map(s=>s.trim()); return [p[1],p[0],p[2]].filter(Boolean).join(" ");} return n||""; }
|
||
function dcell(k,val){ return `<div class="dcell"><div class="dk">${k}</div><div class="dv">${val}</div></div>`; }
|
||
function offRows(list){ return list.map(o=>`<div class="off"><span class="on">${flip(o.n)}</span><span class="or">${o.r||""}</span></div>`).join(""); }
|
||
function distRows(list){ return list.map(d=>`<div class="off"><span class="on">${d.rep||"—"}${d.p?` <span class="pty ${d.p}">${d.p}</span>`:""}</span><span class="or">${d.d} · ${Math.round(d.w*100)}%</span></div>`).join(""); }
|
||
function openDetail(fips){
|
||
const v=D[fips]; if(!v)return; const det=CDETAIL[fips];
|
||
const st=v.state, slug=det?det.slug:slugify(v.name.replace(/\s+County$/,""));
|
||
const total=det?det.county.length+det.munis.reduce((a,m)=>a+m.p.length,0):0;
|
||
const repN=(det&&det.districts)?["cd","ss","sh"].reduce((a,k)=>a+det.districts[k].filter(d=>d.rep).length,0):0;
|
||
const bits=[]; if(total)bits.push(total+" local officials"); if(repN)bits.push(repN+" representatives");
|
||
let h=`<div class="sheet-name">${v.name}</div>
|
||
<div class="sheet-sub">${st}${bits.length?" · "+bits.join(" · "):""}</div>
|
||
<div class="dgrid">${dcell("Population",fmtN(v.pop))}${dcell("Median income",fmt$(v.income))}${dcell("Poverty",fmtP(v.poverty))}${dcell("Homeownership",fmtP(v.home))}${dcell("Unemployment",fmtP(v.unemp))}${dcell("Officeholders",total||"\u2014")}</div>`;
|
||
if(det){
|
||
if(det.county.length) h+=`<div class="osec"><h3>County government <em>${det.county.length}</em></h3>${offRows(det.county)}</div>`;
|
||
det.munis.forEach(m=>{ h+=`<div class="osec"><h3>${m.m} <em>${m.p.length}</em></h3>${offRows(m.p)}</div>`; });
|
||
if(det.districts){ const dd=det.districts;
|
||
const seg=(lab,list)=>(list&&list.length)?`<div class="osec"><h3>${lab} <em>${list.length}</em></h3>${distRows(list)}</div>`:"";
|
||
h+=seg("In Congress",dd.cd)+seg("State Senate",dd.ss)+seg("State House",dd.sh);
|
||
}
|
||
if(!det.county.length&&!det.munis.length&&!det.districts)
|
||
h+=`<div class="empty">This county's demographic node is in the mirror; its officeholders haven't been added yet.</div>`;
|
||
} else {
|
||
h+=`<div class="empty">This county's demographic node is in the mirror; its officeholders haven't been added yet. Florida is mirrored to the municipal level today.</div>`;
|
||
}
|
||
h+=`<a class="ghlink" target="_blank" rel="noopener" href="${GH}${st.toLowerCase()}/counties/${slug}/">Open this county on GitHub →</a>`;
|
||
sheetBody.innerHTML=h; sheetBody.scrollTop=0; modal.hidden=false;
|
||
}
|
||
function closeModal(){ modal.hidden=true; }
|
||
document.getElementById("close").onclick=closeModal;
|
||
document.getElementById("backdrop").onclick=closeModal;
|
||
document.addEventListener("keydown",e=>{ if(e.key==="Escape"&&!modal.hidden)closeModal(); });
|
||
map.addEventListener("click",e=>{ const t=e.target; if(dragMoved||e.detail>1)return; if(t.dataset&&t.dataset.f)openDetail(t.dataset.f); });
|
||
|
||
// ---- legend ----
|
||
function renderLegend(){
|
||
const L=LENSES[cur];
|
||
document.getElementById("legend-title").textContent=L.label;
|
||
if(L.diverging){
|
||
document.getElementById("legend").innerHTML=`
|
||
<div class="scalebar" style="background:linear-gradient(90deg,rgb(${L.dem}),rgb(${L.mid}),rgb(${L.rep}))"></div>
|
||
<div class="scaleends"><span>More Democratic</span><span>More Republican</span></div>
|
||
<div class="lgrow" style="margin-top:9px"><span class="sw" style="background:#18212e"></span>no partisan reps</div>`;
|
||
return;
|
||
}
|
||
const[lo,hi]=domains[cur];
|
||
document.getElementById("legend").innerHTML=`
|
||
<div class="scalebar" style="background:linear-gradient(90deg,rgb(${L.lo}),rgb(${L.hi}))"></div>
|
||
<div class="scaleends"><span>${L.fmt(lo)}</span><span>${L.fmt(hi)}</span></div>
|
||
<div class="lgrow" style="margin-top:9px"><span class="sw" style="background:#141b25"></span>no data</div>`;
|
||
}
|
||
|
||
// ---- lens buttons ----
|
||
const foot={
|
||
pop:"Population by county, Census ACS 2023. Darkest are the least populous; brightest the metropolitan cores.",
|
||
income:"Median household income by county, ACS 2023. Every value resolves to a sourced Jurisdiction file.",
|
||
poverty:"Poverty rate by county, ACS 2023. Brighter is higher — the map of where need concentrates.",
|
||
partisan:"Partisan lean of each county's state + federal representatives, by head-count of the districts covering it. Blue leans Democratic, red Republican. Local offices are largely nonpartisan and excluded.",
|
||
};
|
||
const lensBar=document.getElementById("lenses");
|
||
ORDER.forEach(k=>{
|
||
const b=document.createElement("button"); b.className="lens"; b.textContent=LENSES[k].label;
|
||
b.setAttribute("aria-pressed", k===cur); b.onclick=()=>setLens(k);
|
||
lensBar.appendChild(b);
|
||
});
|
||
function setLens(k){
|
||
cur=k;
|
||
[...lensBar.children].forEach((b,i)=>b.setAttribute("aria-pressed", ORDER[i]===k));
|
||
recolor(); renderLegend();
|
||
document.getElementById("stagefoot").textContent=foot[k];
|
||
}
|
||
|
||
// ---- totals (TOTALS injected by build_viz.py) ----
|
||
const TOTALS = {"candidates":2494,"counties":3131,"districts":363,"people":13329};
|
||
document.getElementById("t-people").textContent=TOTALS.people.toLocaleString();
|
||
document.getElementById("t-cand").textContent=TOTALS.candidates.toLocaleString();
|
||
document.getElementById("t-counties").textContent=TOTALS.counties.toLocaleString();
|
||
document.getElementById("t-districts").textContent=TOTALS.districts.toLocaleString();
|
||
|
||
render(); renderLegend(); document.getElementById("stagefoot").textContent=foot[cur];
|
||
requestAnimationFrame(()=>requestAnimationFrame(()=>document.getElementById("board").classList.remove("booting")));
|
||
</script>
|