25:["$","title",null,{"children":"Mapping / Observable Plot | Andrew Witherspoon | Observable"}] 49:T577,Plot.plot({ y: { domain: [20, 70] }, marks: [ Plot.ruleY([0]), Plot.lineY(usVoteTotals, { x: "year", y: "ruralDemVoteShare", stroke: "blue" }), Plot.lineY(usVoteTotals, { x: "year", y: "ruralGOPVoteShare", stroke: "red" }), Plot.text( usVoteTotals, Plot.selectLast({ x: "year", y: "ruralGOPVoteShare", text: (d) => `${d.ruralGOPVoteShare.toFixed(1)}%`, dx: 5, fontWeight: "bold", textAnchor: "start", fill: "red" }) ), Plot.text( usVoteTotals, Plot.selectFirst({ x: "year", y: "ruralGOPVoteShare", text: (d) => `${d.ruralGOPVoteShare.toFixed(1)}%`, dx: -5, fontWeight: "bold", textAnchor: "end", fill: "red" }) ), Plot.text( usVoteTotals, Plot.selectLast({ x: "year", y: "ruralDemVoteShare", text: (d) => `${d.ruralDemVoteShare.toFixed(1)}%`, dx: 5, fontWeight: "bold", textAnchor: "start", fill: "blue" }) ), Plot.text( usVoteTotals, Plot.selectFirst({ x: "year", y: "ruralDemVoteShare", text: (d) => `${d.ruralDemVoteShare.toFixed(1)}%`, dx: -5, fontWeight: "bold", textAnchor: "end", fill: "blue" }) ) ] })4a:T4dd,Plot.plot({ y: { domain: [-20, 40], ticks: [-20, 0, 20, 40] }, marks: [ Plot.ruleY([0]), Plot.text( usVoteMargins, Plot.selectFirst({ x: "year", y: "ruralMargin", text: ["Rural counties"], dy: -100, dx: -40, fontWeight: "bold", fontSize: "16", textAnchor: "start" }) ), Plot.text( usVoteMargins, Plot.selectFirst({ x: "year", y: "metroMargin", text: ["Metro counties"], dy: 50, dx: -40, fontWeight: "bold", fontSize: "16", textAnchor: "start" }) ), Plot.rectY(usVoteMargins, { x: "year", y: "ruralMargin", fill: "red" }), Plot.rectY(usVoteMargins, { x: "year", y: "metroMargin", fill: "blue" }), Plot.textY(usVoteMargins, { x: "year", y: "ruralMargin", text: (d) => `+${Math.abs(d.ruralMargin).toFixed(1)} pts ${ d.ruralMargin > 0 ? "GOP" : "Dem" }`, dy: 10 }), Plot.textY(usVoteMargins, { x: "year", y: "metroMargin", text: (d) => `+${Math.abs(d.metroMargin).toFixed(1)} pts ${ d.metroMargin > 0 ? "GOP" : "Dem" }`, dy: 10 }) ] })4b:Tae4,usVoteTotals = { let final = []; years.forEach((year) => { let ruralDemVote = d3.sum( electionDataWithCodes.filter((f) => { if (f) { return f.year == year && f.party == "DEMOCRAT" && f.class == "Rural"; } }), (s) => parseInt(s.candidatevotes) ); let ruralGOPVote = d3.sum( electionDataWithCodes.filter((f) => { if (f) { return ( f.year == year && f.party == "REPUBLICAN" && f.class == "Rural" ); } }), (s) => parseInt(s.candidatevotes) ); let metroDemVote = d3.sum( electionDataWithCodes.filter((f) => { if (f) { return f.year == year && f.party == "DEMOCRAT" && f.class == "Metro"; } }), (s) => parseInt(s.candidatevotes) ); let metroGOPVote = d3.sum( electionDataWithCodes.filter((f) => { if (f) { return ( f.year == year && f.party == "REPUBLICAN" && f.class == "Metro" ); } }), (s) => parseInt(s.candidatevotes) ); let countiesInThisElection = []; countiesArr.forEach((county) => { let matching = electionDataWithCodes.find((f) => { if (f) { return f.year == year && f.county_fips == county; } }); if (matching) { let obj = { class: matching.class, totalVotes: matching.totalvotes }; countiesInThisElection.push(obj); } }); let totalVotes = d3.sum(countiesInThisElection, (s) => s.totalVotes); let totalRuralVotes = d3.sum( countiesInThisElection.filter((f) => f.class == "Rural"), (s) => parseInt(s.totalVotes) ); let totalMetroVotes = d3.sum( countiesInThisElection.filter((f) => f.class == "Metro"), (s) => parseInt(s.totalVotes) ); let ruralDemVoteShare = parseFloat( ((ruralDemVote / totalRuralVotes) * 100).toFixed(2) ); let ruralGOPVoteShare = parseFloat( ((ruralGOPVote / totalRuralVotes) * 100).toFixed(2) ); let metroDemVoteShare = parseFloat( ((metroDemVote / totalMetroVotes) * 100).toFixed(2) ); let metroGOPVoteShare = parseFloat( ((metroGOPVote / totalMetroVotes) * 100).toFixed(2) ); let obj = { year, ruralDemVote, ruralGOPVote, metroDemVote, metroGOPVote, ruralDemVoteShare, ruralGOPVoteShare, metroDemVoteShare, metroGOPVoteShare, metroTotalVoteShare: parseFloat( (totalMetroVotes / totalVotes) * 100 ).toFixed(2), ruralTotalVoteShare: parseFloat( (totalRuralVotes / totalVotes) * 100 ).toFixed(2), ruralGap: ruralGOPVoteShare - ruralDemVoteShare }; final.push(obj); }); return final; 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Mapping / Observable Plot

Observable Plot › Mapping · API

\n\n# Mapping with Plot\n\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":13,"value":"The maps below show the direction a county's vote has moved in presidential elections. The arrow’s length encodes the difference in margin, and the orientation and color show which party the vote has swung towards ( for Democrats, and for Republicans). Election data is from the [MIT Election Lab](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ). County metro/rural classification is from [USDA](https://www.ers.usda.gov/data-products/rural-urban-continuum-codes/documentation/).","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"vectors","database":"$undefined"},{"id":804,"value":"viewof select = Inputs.select(\n [\n \"swing_2000_to_2020\",\n \"swing_2004_to_2020\",\n \"swing_2008_to_2020\",\n \"swing_2012_to_2020\",\n \"swing_2016_to_2020\",\n \"swing_2000_to_2008\"\n ],\n { label: \"Select time range\" }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":898,"value":"## Arizona","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":899,"value":"makeMap(arizona_geo, \"Arizona\", \"04\", \"ARIZONA\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":895,"value":"## Iowa","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1300,"value":"makeMap(iowa_geo, \"Iowa\", \"19\", \"IOWA\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":920,"value":"## Georgia","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":922,"value":"makeMap(georgia_geo, \"Georgia\", \"13\", \"GEORGIA\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":925,"value":"## Michigan","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":927,"value":"makeMap(michigan_geo, \"Michigan\", \"26\", \"MICHIGAN\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":930,"value":"## Nevada","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":932,"value":"makeMap(nevada_geo, \"Nevada\", \"32\", \"NEVADA\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":935,"value":"## Pennsylvania","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":937,"value":"makeMap(pennsylvania_geo,\"Pennsylvania\",\"42\",\"PENNSYLVANIA\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":951,"value":"makeMap = function (domain, state, fips, stateCaps) {\n // id is the county’s fips code; we index it in a fast lookup table\n const lookup = d3.index(counties.features, (d) => d.id);\n return Plot.plot({\n projection: {\n type: \"mercator\",\n domain: domain\n },\n width: 300,\n length: { range: [0, 50], domain: [0, 70] },\n marks: [\n Plot.geo(\n states.features.filter((f) => f.properties.name == state),\n { strokeWidth: 0.75 }\n ),\n Plot.geo(\n counties.features.filter((f) => f.id.substring(0, 2) == fips),\n { strokeWidth: 0.25, stroke: \"#ccc\" }\n ),\n // Plot.geo(nation),\n Plot.vector(\n electionData.filter((f) => f.state == stateCaps),\n Plot.centroid({\n anchor: \"start\",\n geometry: (d) => lookup.get(d.fips),\n stroke: (d) => (d[select] > 0 ? \"#c70000\" : \"#005689\"),\n length: (d) => Math.abs(d[select]),\n rotate: (d) => (d[select] > 0 ? 60 : -60)\n })\n )\n ]\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1161,"value":"### Republican's share of the vote in rural counties has grown since 2000\nThe partisan vote share in presidential elections in rural counties","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1163,"value":"$49","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1137,"value":"### Republicans have extended their advantage in rural counties since 2000\nThe partisan vote margins in presidential elections of counties grouped by their metro/rural classification","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1139,"value":"$4a","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1115,"value":"### Rural counties have moved more towards the GOP in recent years, with a couple exceptions in 2008 and 2020\nThe partisan vote margins of rural counties","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1080,"value":"Plot.plot({\n y: { domain: [-8, 16] },\n marks: [\n Plot.rectY(usVoteSwings, {\n x: \"year\",\n y: \"ruralMargin\",\n fill: (d) => (d.ruralMargin > 0 ? \"red\" : \"blue\")\n }),\n Plot.textY(usVoteSwings, {\n x: \"year\",\n y: \"ruralMargin\",\n text: (d) =>\n `+${Math.abs(d.ruralMargin)} pts ${d.ruralMargin > 0 ? \"GOP\" : \"Dem\"}`,\n dy: 10\n }),\n Plot.ruleY([0])\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1129,"value":"### Metro counties have voted \nThe partisan vote margins of metro counties","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1122,"value":"Plot.plot({\n y: { domain: [-12, 5], scale: \"linear\" },\n marks: [\n Plot.rectY(usVoteSwings, {\n x: \"year\",\n y: \"metroMargin\",\n fill: (d) => (d.metroMargin > 0 ? \"red\" : \"blue\")\n }),\n Plot.textY(usVoteSwings, {\n x: \"year\",\n y: \"metroMargin\",\n text: (d) =>\n `+${Math.abs(d.metroMargin)} pts ${d.metroMargin > 0 ? \"GOP\" : \"Dem\"}`,\n dy: 10\n }),\n Plot.ruleY([0])\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":969,"value":"***\n## Analysis","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1336,"value":"await FileAttachment(\"Rural-urban Continuum Code 2013-Table 1.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1348,"value":"usVoteTotals","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1013,"value":"$4b","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1058,"value":"usVoteMargins = {\n let final = [];\n\n // Margin\n years.forEach((year, i) => {\n let currYear = usVoteTotals.find((f) => f.year == year);\n let obj = {\n year,\n ruralMargin: currYear.ruralGOPVoteShare - currYear.ruralDemVoteShare,\n metroMargin: currYear.metroGOPVoteShare - currYear.metroDemVoteShare\n };\n final.push(obj);\n });\n return final;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1131,"value":"usVoteSwings = {\n let final = [];\n\n // Swing\n years.forEach((year, i) => {\n if (i > 0) {\n let currYear = usVoteTotals.find((f) => f.year == year);\n let prevYear = usVoteTotals.find((f) => f.year == years[i - 1]);\n let obj = {\n year,\n ruralMargin: findSwing(\n prevYear.ruralDemVoteShare,\n prevYear.ruralGOPVoteShare,\n currYear.ruralDemVoteShare,\n currYear.ruralGOPVoteShare\n ),\n metroMargin: findSwing(\n prevYear.metroDemVoteShare,\n prevYear.metroGOPVoteShare,\n currYear.metroDemVoteShare,\n currYear.metroGOPVoteShare\n )\n };\n final.push(obj);\n }\n });\n return final;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":876,"value":"***\n## Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":52,"value":"us = FileAttachment(\"us-counties-10m.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":53,"value":"nation = topojson.feature(us, us.objects.nation)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":547,"value":"states = topojson.feature(us, us.objects.states)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":54,"value":"statemesh = topojson.mesh(us, us.objects.states, (a, b) => a !== b)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":55,"value":"counties = topojson.feature(us, us.objects.counties)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":798,"value":"countyMesh = topojson.mesh(us, us.objects.counties)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":887,"value":"arrowScale = d3.scaleLinear().domain([0, 50]).range([0, 100])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":795,"value":"electionData = FileAttachment(\"data@1.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":903,"value":"arizona_geo = FileAttachment(\"arizona_geo@1.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":860,"value":"iowa_geo = FileAttachment(\"iowa_geo@3.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":906,"value":"georgia_geo = FileAttachment(\"georgia_geo@1.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":909,"value":"michigan_geo = FileAttachment(\"michigan_geo@1.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":911,"value":"nevada_geo = FileAttachment(\"nevada_geo@1.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":913,"value":"pennsylvania_geo = FileAttachment(\"pennsylvania_geo@1.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1061,"value":"years = [\"2000\", \"2004\", \"2008\", \"2012\", \"2016\", \"2020\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1225,"value":"countiesArr = [...new Set(originalElectionData.map((d) => d.county_fips))]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":990,"value":"codeDict = ({\n \"1\": \"Metro\",\n \"2\": \"Metro\",\n \"3\": \"Metro\",\n \"4\": \"Rural\",\n \"5\": \"Rural\",\n \"6\": \"Rural\",\n \"7\": \"Rural\",\n \"8\": \"Rural\",\n \"9\": \"Rural\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":979,"value":"ruralCodes = FileAttachment(\"Rural-urban Continuum Code 2013-Table 1.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":981,"value":"originalElectionData = FileAttachment(\"countypres_2000-2020.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":997,"value":"electionDataWithCodes = originalElectionData.map((d) => {\n let matching = ruralCodes.find((f) => f.FIPS == d.county_fips);\n if (matching) {\n return { ...d, class: codeDict[matching.RUCC_2013] };\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1076,"value":"function findSwing(firstDem, firstGOP, secondDem, secondGOP) {\n let firstMargin = firstGOP - firstDem;\n let secondMargin = secondGOP - secondDem;\n\n return parseFloat((secondMargin - firstMargin).toFixed(2));\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W4c","stdlib":"1"}} 24:null