Blank US states map

30:T6e25,html` `31:T148e,html``32:T2533,html``33:Td81,data = _.filter(d3.csvParse(`state,VEP,ballots counted,total forms received,total forms rejected,rejections/received,percent of national rejection,total voters removed,percent national removal US,"235,714,420","118,537,867",79854972,2479439,3.10%,100%,17300470,100% AK,"521,777","1,721,906",620224,8843,1.43%,0.01%,51737,0.30% AL,"3,641,209","285,009",1707185,9918,0.58%,0.01%,237627,1.37% AR,"2,171,940","2,409,910",448787,0,0,0.00%,136550,0.79% AZ,"4,910,625","898,793",1860596,56966,3.06%,0.07%,437701,2.53% CA,"25,635,139","12,712,542",8572410,532767,6.21%,0.67%,733618,4.24% CO,"4,103,903","2,583,580",1434349,25922,1.81%,0.03%,289247,1.67% CT,"2,614,176","1,421,953",701958,0,0,0.00%,100936,0.58% DC,"529,198","365,467",120149,3059,2.55%,0.00%,27683,0.16% DE,"710,434","231,482",354500,462,0.13%,0.00%,52454,0.30% FL,"15,140,654","8,318,824",6541838,138235,2.11%,0.17%,1046514,6.05% GA,"7,178,075","3,949,905",4498331,2348,0.05%,0.00%,797124,4.61% HI,"1,014,363","398,657",185273,0,0,0.00%,30976,0.18% IA,"2,312,204","612,536",525908,293,0.06%,0.00%,87562,0.51% ID,"1,224,275","4,635,541",372292,0,0,0.00%,106420,0.62% IL,"9,017,850","2,308,258",2123058,103698,4.88%,0.13%,866679,5.01% IN,"4,923,068","1,334,279",1576494,24109,1.53%,0.03%,1292252,7.47% KS,"2,072,292","1,060,000",655028,0,0,0.00%,148064,0.86% KY,"3,319,907","1,612,353",1472290,341692,23.21%,0.43%,92710,0.54% LA,"3,394,257","1,519,405",713451,12669,1.78%,0.02%,284735,1.65% MA,"5,042,403","646,013",1784724,15840,0.89%,0.02%,629710,3.64% MD,"4,306,482","2,335,128",1675979,883,0.05%,0.00%,275973,1.60% ME,"1,073,006","2,752,665",198377,466,0.23%,0.00%,133887,0.77% MI,"7,513,813","4,341,340",2262301,788,0.03%,0.00%,404901,2.34% MN,"4,064,389","2,611,365",1073040,215,0.02%,0.00%,299362,1.73% MO,"4,570,675","940,000",0,22,0,0.00%,431006,2.49% MS,"2,201,276","2,442,306",494644,1319,0.27%,0.00%,172747,1.00% MT,"821,710","509,213",218683,338,0.15%,0.00%,65343,0.38% NC,"7,577,011","706,652",2672101,210470,7.88%,0.26%,744453,4.30% ND,"564,114","975,980",0,0,0,0.00%,0,0.00% NE,"1,364,285","580,568",536709,361,0.07%,0.00%,86796,0.50% NH,"1,062,391","3,248,642",308432,0,0,0.00%,108278,0.63% NJ,"6,114,344","701,654",2241134,10273,0.46%,0.01%,446569,2.58% NM,"1,482,246","6,230,959",222662,935,0.42%,0.00%,18011,0.10% NV,"2,052,636","3,755,778",656208,24330,3.71%,0.03%,196800,1.14% NY,"13,772,077","330,598",3362843,157658,4.69%,0.20%,410301,2.37% OH,"8,839,520","4,496,834",2382804,56492,2.37%,0.07%,495207,2.86% OK,"2,798,385","1,190,000",546938,17747,3.24%,0.02%,282184,1.63% OR,"3,113,178","1,914,923",1352332,0,0,0.00%,165744,0.96% PA,"9,758,386","5,020,000",2860609,312723,10.93%,0.39%,286383,1.66% RI,"793,460","381,267",141890,0,0,0.00%,40991,0.24% SC,"3,819,264","1,726,527",1435340,0,0,0.00%,328273,1.90% SD,"640,417","341,048",135610,16,0.01%,0.00%,34380,0.20% TN,"5,031,061","2,267,428",1070697,84505,7.89%,0.11%,474280,2.74% TX,"18,072,155","8,375,000",6652574,179161,2.69%,0.22%,1609040,9.30% UT,"2,082,549","1,082,972",979275,42451,4.33%,0.05%,106731,0.62% VA,"6,141,102","278,230",4027142,96145,2.39%,0.12%,926015,5.35% VT,"497,750","3,363,505",83525,2139,2.56%,0.00%,36179,0.21% WA,"5,316,196","3,133,448",4928195,2738,0.06%,0.00%,560802,3.24% WI,"4,337,051","597,149",685702,0,0,0.00%,558930,3.23% WV,"1,405,262","2,675,000",287111,290,0.10%,0.00%,116936,0.68% WY,"421,722","205,275",76144,0,0,0.00%,22290,0.13% ,,,,,,0.01%,, `), (d) => { return d.state !== 'US' })34:[] 2e:{"title":"EAVS Data","cells":[{"id":0,"value":"md`# EAVS Data\n\nThe Election Administration and Voting Survey **(EAVS)**\n\n> The EAVS contains the most comprehensive nationwide data about election administration in the United States.The EAC administers the survey to meet its Help America Vote Act of 2002 obligation to serve as a national clearinghouse and resource for the compilation of information with respect to the administration of federal elections. Additionally, the EAVS fulfills EAC data collection requirements contained in both the Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA) and the National Voter Registration Act (NVRA). The data is collected at the local level by the county or county-equivalent. \n\n> It includes information related to:\n- Voter registration\n- Military and overseas voters\n- Early and absentee voting \n- Provisional voting \n- Voter participation\n- Voting equipment usage\n- Poll workers, polling places, and precincts\n`","pinned":true,"hidden":false,"mode":"ojs"},{"id":123,"value":"md`## Select metric to color states by`","pinned":false,"hidden":false,"mode":"ojs"},{"id":23,"value":"viewof metric = DOM.select(metrics)","pinned":false,"hidden":false,"mode":"ojs"},{"id":110,"value":"$30","pinned":false,"hidden":false,"mode":"ojs"},{"id":11,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":105,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":58,"value":"// metric = 'total forms rejected'","pinned":true,"hidden":false,"mode":"ojs"},{"id":18,"value":"// metrics = ['One', 'Two']\nmetrics = _.keys(data[0]).slice(1, 9)","pinned":false,"hidden":false,"mode":"ojs"},{"id":51,"value":"scaleConfig = function () {\n return {\n min: d3.min(massagedData, (d,i) => {\n if (+d[metric] === 0) return false\n return +d[metric]\n }),\n max: d3.max(massagedData, (d,i) => {\n return +d[metric]\n }),\n minColor: '#CCC',\n maxColor: 'red'\n }\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":85,"value":"console.log('Scale config:', scaleConfig())","pinned":true,"hidden":false,"mode":"ojs"},{"id":64,"value":"colorScale = d3.scaleLinear()\n .domain([scaleConfig().min, scaleConfig().max])\n .range([scaleConfig().minColor, scaleConfig().maxColor])","pinned":true,"hidden":false,"mode":"ojs"},{"id":15,"value":"_.each(massagedData, (d, i) => {\n if (!d.state) return false\n console.log('metric: '+metric, d[metric], colorScale(+d[metric]))\n d3.selectAll('#'+d.state).attr('fill', colorScale(+d[metric]))\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":4,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":95,"value":"massagedData = data.map((d) => {\n _.forEach(metrics, (m) => {\n d[m] = parseFloat(d[m].replace(/,/g, ''))\n })\n return d\n})","pinned":true,"hidden":false,"mode":"ojs"},{"id":6,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":29,"value":"_ = require(\"lodash@latest\")","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W34","stdlib":"1","titling":"auto"}