The avatar for @codingwithfire
Coding with Fire
EJ Fox & Ian Johnson streaming data, code, acid, design
Published
Edited
Sep 22, 2020
Importers
2 stars
3
Season 1
Coding With Fire - Crowd Control Color PaletteCMU COVIDcast APICMU COVIDcast API: Map makerMap Maker Dot Density: Cumulative Covid CasesPattern Moire - Line & Circle Grids with ColorschemesPattern Moire - Line & Circle GridsCustom Cluster Force LayoutCMU COVIDcast API: Map maker Bubbles CanvasCMU COVIDcast API: Map maker BubblesCMU COVIDcast API: Map maker Bubbles IICMU COVIDcast API: Map maker TimelapseCoding With Fire: Mind MapGraphene MoiréGraphene Moiré FirebaseGraphene Moiré 3DCoding With Fire: Paths as PointsCoding With Fire: 3D PathsFreaky Dot PatternsCoding With Fire: NYPD CCRB
Where are votes at risk?
Voronoi PurpleAirDeadline Timers 2CMU COVIDcast API: Bubbles ExportEmojisEmoji Treemap Small MultiplesCounties with DatasetteAmerican Community Survey 2018 by CountyRegistered Voters by County 2016-2018Population Change by County 2016-2018: Bubble LinesRegistered Voters by County 2016-2018: Bubble LinesCMU COVIDcast API: Bubbles Dark ModeUS Bubble Choropleth: Travel From CentroidUS Bubble Choropleth: Travel From CentroidCMU COVIDcast API: Bubbles Textures Interactive TimelapseChoropleth with Textures.jsForce Bubble Map with Textures.jsWhere Are Votes Outstanding? (Data Simulation)Where Are Votes Outstanding? Visualization IdeasElectoral College Unit ChartsElectoral College Unit Charts With TextElectoral College Unit Shuffle
Also listed in…
Election Explorations
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
metrics = Object.keys(eavsby.counties[0])
Insert cell
Insert cell
eavsby.counties
Insert cell
eavsbyfips = d3.group(eavsby.counties, d => d.FIPSCode.slice(0, 5))
Insert cell
Insert cell
// We use a log color scale
pollperregisteredColor = d3.scaleSequential(
pollperregisteredExtent,
d3.interpolateReds
)
Insert cell
pollperregisteredExtent = [0.01, 0] //d3.extent(eavsby.counties, getValue).reverse()
Insert cell
getValue = function(d) {
// active metric per county
// +d[activeMetric] / pop
// poll places per registered voter
return +d["D4a"] / +d["A1a"];
}
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
po
Insert cell
Insert cell
// activePostOffices = d3
// .csvParse(await FileAttachment("Post Offices@1.csv").text())
// .filter(po => {
// let nameWords = po.name.split(' ');
// return !nameWords.includes('(historical)');
// })
Insert cell
activePostOffices = d3
.csvParse(await FileAttachment("postoffices.csv").text())
.filter(d => d.status == "Open")
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
function colorCountyByElectionData(fips, metric = "diff") {
let d = countyElectionResults.filter(d => +d.combined_fips == +fips)[0];
if (!d) return false;
return voteDiffColorScale(+d.diff);
// if (!d) return '#999';
// if (+d.votes_dem > +d.votes_gop) return 'blue';
// else return 'red';
}
Insert cell
Insert cell
Insert cell
{
let d = countyElectionResults.filter(
d => +d.combined_fips == +electionResults.id
)[0];
if (!d) return "";
return md`
${getPoId(electionResults)}
difference: ${numformat(d.diff)}
population: ${numformat(pop.get(electionResults.id))}
`;
}
Insert cell
electionResults
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
activeMetricExtent = d3.extent(eavsby.counties, d => +d[activeMetric])
Insert cell
Insert cell
numformat = d3.format(",d")
Insert cell
statesByFips
Insert cell
import {
us,
countyShapes,
populationData,
populationByCounty,
populationColor,
statesMesh,
statesByFips,
height,
projection,
populationFormat,
legend,
path
} from "@enjalot/making-a-county-map"
Insert cell
topojson = require("topojson-client@3")
Insert cell
Insert cell
usc = require('https://bundle.run/us-state-codes@1.1.2')
Insert cell
Insert cell

Purpose-built for displays of data

Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
Learn more