MBA Candidate at Columbia, Software Engineer, Former Managing Web Editor @ The Michigan Daily. Building things I can see.
Published
Edited
Mar 1, 2022
Importers
13 stars
colorChangeRamp(d3.interpolateRdBu)
colorChangeRamp(interpolateFiveThirtyEightRdBu)
colorChangeRamp(interpolateFiveThirtyEightRdPuBu)
interpolateFiveThirtyEightRdBu = d3.interpolateRgbBasis(
schemeFiveThirtyEightRdBu
)
schemeFiveThirtyEightRdBu = [
...['#af3f38', '#fa5a50', '#ff998a', '#ffcec5'], // reds, dark to light
'#eae3ea', // gray
...['#c8cae3', '#9197c8', '#5768ac', '#3d4978'] // blues, light to dark
]
interpolateFiveThirtyEightRdPuBu = d3.interpolateRgbBasis(
schemeFiveThirtyEightRdPuBu
)
schemeFiveThirtyEightRdPuBu = [
"#e85847", // red
"#8265ae", // purple
"#4591e3" // blue
]
marginScale = d3.scaleDiverging(colors).domain([-maxMargin, 0, maxMargin])
viewof maxMargin = Inputs.range([1, 100], {
step: 1,
value: 80,
label: "Max Margin"
})
viewof maxMargin2 = Inputs.range([1, 100], {
step: 1,
value: 30,
label: "Max Margin"
})
viewof colors = Inputs.select(
new Map([
['d3.interpolateRdBu', d3.interpolateRdBu],
['interpolateFiveThirtyEightRdBu', interpolateFiveThirtyEightRdBu],
['interpolateFiveThirtyEightRdPuBu', interpolateFiveThirtyEightRdPuBu]
]),
{ value: interpolateFiveThirtyEightRdBu, label: "Color Interpolator" }
)
viewof colors2 = Inputs.select(
new Map([
['d3.schemeRdBu', d3.schemeRdBu[11]],
['schemeFiveThirtyEightRdBu', schemeFiveThirtyEightRdBu],
['schemeFiveThirtyEightRdPuBu', schemeFiveThirtyEightRdPuBu]
]),
{ value: schemeFiveThirtyEightRdPuBu, label: "Color Scheme" }
)
counties = topojson
.feature(us, us.objects.counties)
.features.map(county => {
const countyData = countyMap[county["id"]];
if (!countyData) return null;
return {
...county,
margin: countyData
};
})
.filter(d => d)
stateData = nytData.data.races.map(s => {
return {
name: s.state_name,
abbr: s.state_id,
countyCount: s.counties.length,
margin:
s.leader_margin_value * (s.leader_party_id == "republican" ? -1 : 1),
votes: s.votes
};
})
countyMap = {
const map = {};
nytData.data.races.forEach(s => {
s.counties.forEach(c => {
map[c.fips] =
c.leader_margin_value * (c.leader_party_id == "republican" ? -1 : 1);
});
});
return map;
}
nytData = d3.json(
"https://static01.nyt.com/elections-assets/2020/data/api/2020-11-03/national-map-page/national/president.json"
)
import { PINNED } from '@mootari/signature'
import { us, states } from '@mbostock/ancestry-by-u-s-county'
topojson = require("topojson-client@3")
import { ramp as colorChangeRamp } from '@fil/perceptually-uniform'
import { ramp } from '@mbostock/color-ramp'
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.