2b:null 2c:["$","title",null,{"children":"Calculating Popular Vote | Stuart Thompson | Observable"}] 31:[] 2f:{"id":"14cd22dc9bf91c32","slug":"calculating-popular-vote","title":"Calculating Popular Vote","thumbnail":"44a3b266c9c485f6dbbd21f289c778e9e911c005d67f047b57408f38d2b3e93c","access_level":"public","create_time":"$D2018-11-07T13:20:50.045Z","update_time":"$D2019-02-20T05:46:36.697Z","view_time":null,"first_public_time":"$D2019-01-23T22:58:20.593Z","fork":true,"stars":0,"starred":false,"owner":{"type":"team","id":"0037882dbfd20f7d","login":"stuartathompson","name":"Stuart Thompson","avatar_url":"https://avatars-next.observableusercontent.com/612df2c15ecd79793ae9e1da55f073846192b68a855df3fa08cb20625a22cb61","tier":"starter_2024"},"version":153,"publish_version":153,"role":null,"authored":false,"authors":[{"type":"individual","id":"2f7c0ea43db5e5ea","login":"stuartathompson","name":"Stuart Thompson","avatar_url":"https://avatars-next.observableusercontent.com/612df2c15ecd79793ae9e1da55f073846192b68a855df3fa08cb20625a22cb61","tier":null}],"members":[{"type":"individual","id":"2f7c0ea43db5e5ea","login":"stuartathompson","name":"Stuart Thompson","avatar_url":"https://avatars-next.observableusercontent.com/612df2c15ecd79793ae9e1da55f073846192b68a855df3fa08cb20625a22cb61","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"Calculating Popular Vote","cells":[{"id":0,"value":"md`# Calculating Popular Vote`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":33,"value":"md`This script fetches election data and calculates the two-party popular vote from \"live\" NYT election results. I used this to do some light research on a project.\n\nSelect a slug for a state:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":77,"value":"viewof state = html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":36,"value":"md `Here is the overall popular vote:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":16,"value":"popularVote = {\n return votes.democrat / (votes.democrat + votes.republican)\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":42,"value":"md`Here is an average of all districts' popular vote breakdown:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":45,"value":"{\n var avgs = []\n for(var i in votesByDistrict){\n var race = votesByDistrict[i]\n if(race.democrat === undefined){\n avgs.push(0)\n } else if(race.republican === undefined){\n avgs.push(1)\n } else {\n avgs.push(race.democrat / (race.democrat + race.republican))\n }\n }\n console.log(avgs)\n return d3.mean(avgs)\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":38,"value":"md`And here is the vote breakdown for the whole state:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":97,"value":"{\n var table = ''\n for(var party in votes){\n table += `` \n }\n table += '

Party	Votes
${party}	${votes[party]}

'\n return html`${table}`\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":108,"value":"{\n var table = ''\n for(var i in votesByDistrict){\n var race = votesByDistrict[i]\n table += `` \n }\n table += '

District	Dem.	Rep.
${i}	${race.democrat}	${race.republican}

'\n return html`${table}`\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":92,"value":"md`--- \nOk, now here is some other stuff you can ignore.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6,"value":"votes = {\n var votes = {}\n var house = data.races.filter(d => d.race_type == 'house')\n for(var race of house){\n for(var candidate of race.candidates){\n if(!votes[candidate.party_id]) votes[candidate.party_id] = 0\n votes[candidate.party_id] += candidate.votes\n }\n }\n return votes\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":48,"value":"votesByDistrict = {\n var races = {}\n var house = data.races.filter(d => d.race_type == 'house')\n for(var race of house){\n races[race.race_id] = {}\n var votes = races[race.race_id]\n for(var candidate of race.candidates){\n if(!votes[candidate.party_id]) votes[candidate.party_id] = 0\n console.log(votes)\n votes[candidate.party_id] += candidate.votes\n }\n }\n return races\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2,"value":"d3 = require('d3')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4,"value":"data = d3.json(`https://int.nyt.com/applications/elections/2018/api/1/races/${state}/2018-11-06.json`)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":80,"value":"states = ['north-carolina','ohio','michigan','virginia', 'texas']","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":120,"value":"historical = d3.tsv('https://gist.githubusercontent.com/stuartathompson/d4f7ecb9c13d1d3cba88df2249ca477a/raw/beae349b28c5ec97fa82c058b91fdd5987bb1331/historical-results.csv')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":123,"value":"historicalByStateAndYear = {\n var states = {}\n for(var row of historical){\n if(!states[row.State]) states[row.State] = {}\n if(!states[row.State]['year'+row.Year]) states[row.State]['year'+row.Year] = []\n states[row.State]['year'+row.Year].push(row)\n }\n return states\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":132,"value":"historicalAvgPerStatePerYear = {\n for(var i in historicalByStateAndYear){\n var stateYear = historicalByStateAndYear[i]\n for(var i in stateYear){\n var districtsInYear = stateYear[i]\n districtsInYear.average = d3.mean(districtsInYear, d => {\n if(d['Dem Votes'] == 0){\n return 0\n } else if(d['GOP Votes'] == 0){\n return 1\n } else {\n return d['Dem Votes'] / (d['Dem Votes'] + d['GOP Votes'])\n }\n })\n }\n }\n return historicalByStateAndYear\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W31","stdlib":"1","titling":"auto"}} 30:"$2f:body"