The avatar for @clhenrick
Chris Henrick
Maps, Data, Viz, UX, Design
Published
msm-fellowship-data-intake
Edited
Nov 5, 2020
Fork of Data Intake: Provisional COVID-19 Death Counts by County and Race
•
7 forks
4 stars
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dataPreview = table ? table.view() : null
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table = data ? aq.fromCSV(d3.csvFormat(data)) : null
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dataName = ""
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dataPublisher = ""
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dataProvider = ""
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dataDescription = ""
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dataUrl = ""
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dataIsPublic = undefined
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historical = true
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temporal = Boolean(dataStartDate && dataEndDate)
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dataStartDate = undefined
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dataEndDate = undefined
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geoCovered = ""
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geoDimensions = [""]
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geoDimensionsForm = [""]
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dataFormats = [""]
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noDataCode = ""
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hasAPI = dataApiUrl.length > 0
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dataApiUrl = ""
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dataLicense = ""
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// e.g. FileAttachment("some-tabular-data-file.csv")
dataFileAttachment = undefined
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// e.g. new Date("2020-09-30")
dataFileAttachmentDate = undefined
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data = {
if (hasAPI && dataApiUrl) {
return fetch(dataApiUrl).then(res => {
if (res.ok) return res.json();
return res;
});
}

if (dataFileAttachment) {
return await dataFileAttachment.csv(); // <- change `.csv()` if the data is in another format, e.g. JSON
}
}
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sampleDatum = {
anotherSampleDatum;
const d = getSampleDatum();
return d;
}
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getSampleDatum = () =>
data ? data[Math.floor(Math.random() * data.length)] : undefined
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getSummaryStats = (data, field) => ({
min: d3.min(data, d => d[field]),
max: d3.max(data, d => d[field]),
median: d3.median(data, d => d[field]),
mean: d3.mean(data, d => d[field])
})
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import { button } from "@jashkenas/inputs"
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import { toc } from "@mbostock/toc"
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import { aq, op } from '@uwdata/arquero'
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d3 = require("d3-array@2", "d3-dsv@2")
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