31:[{"id":"e34d00a1441938da12b88603d3f2f6012369d8f1bec25ed9fb6db16c0d16d5ea4861bd6066275b8de9cc4ea3db735741008c4245e8142cd10c13ffa4c9741873","href":"https://static.observableusercontent.com/files/e34d00a1441938da12b88603d3f2f6012369d8f1bec25ed9fb6db16c0d16d5ea4861bd6066275b8de9cc4ea3db735741008c4245e8142cd10c13ffa4c9741873","name":"us-counties-10m.json","type":"application/json","lastModified":1682381217281.518,"size":842143},{"id":"16a631122c098cbefd93dc7de8eb048d090fc1b4ce657224bd99a19a09b57ad853f9b8cf4fc38514dfe032fe27f41ab862d707ddb63b18c80cb483addbc55396","href":"https://static.observableusercontent.com/files/16a631122c098cbefd93dc7de8eb048d090fc1b4ce657224bd99a19a09b57ad853f9b8cf4fc38514dfe032fe27f41ab862d707ddb63b18c80cb483addbc55396","name":"us-presidential-election-2020.csv","type":"text/csv","lastModified":1682385448422.812,"size":1124934}] 2f:{"title":"Plot: Election wind map","cells":[{"id":0,"value":"

Plot: Election wind map

Observable Plot › Gallery

\n\n# Election wind map\n\nA map where the margin by which the winner of the US presidential election of 2020 won the vote in each county is represented as a non-gridded [wind map](https://observablehq.com/@observablehq/plot-wind-map). The length of the [vector](https://observablehq.com/plot/marks/vector) encodes the difference in votes for the Democratic candidate vs the Republican candidate , with color and direction both showing who won.","pinned":false,"hidden":false,"mode":"md"},{"id":3,"value":"Plot.plot({\n projection: \"albers-usa\",\n length: {type: \"sqrt\", transform: Math.abs},\n marks: [\n Plot.geo(statemesh, {strokeWidth: 0.5}),\n Plot.geo(nation),\n Plot.vector(\n counties,\n Plot.centroid({\n anchor: \"start\",\n length: (d) => d.properties.margin2020 * d.properties.votes,\n stroke: (d) => d.properties.margin2020 > 0 ? \"red\" : \"blue\",\n rotate: (d) => d.properties.margin2020 > 0 ? 60 : -60\n })\n )\n ]\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":10,"value":"counties = {\n const counties = topojson.feature(us, us.objects.counties).features;\n const _election = new Map(election.map((d) => [d.fips, d]));\n counties.forEach(county => {\n county.properties.margin2020 = +_election.get(county.id)?.margin2020;\n county.properties.votes = +_election.get(county.id)?.votes;\n });\n return counties;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":13,"value":"statemesh = topojson.mesh(us, us.objects.states)","pinned":true,"hidden":false,"mode":"ojs"},{"id":15,"value":"nation = topojson.feature(us, us.objects.nation)","pinned":true,"hidden":false,"mode":"ojs"},{"id":18,"value":"election = FileAttachment(\"us-presidential-election-2020.csv\").csv()","pinned":true,"hidden":false,"mode":"ojs"},{"id":8,"value":"us = FileAttachment(\"us-counties-10m.json\").json()","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W31","stdlib":"1","titling":"auto"}