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Christopher Pietsch
Visualization, Prototypes, ML, Data wrangling and Art.
Published
Edited
May 4, 2020
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md`# wrangle lido csv `
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dataCsv
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test = dataCsv[5]
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searchResults = Object.keys(test).filter(k => k.indexOf(search) > -1).map(k => ({value: test[k], key: k}))
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table(searchResults)
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largeSearch = dataCsv.slice(0,100).map(d => Object.keys(d).filter(k => k.indexOf(search) > -1).map(k => ({id: d["lido.lidoRecID"], value: d[k], key: k}))).flat()
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table(largeSearch)
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data.find(d => d.id === "DE-MUS-018719/1788499")
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DOM.download(serializeCsv(data), "ang-data.csv", "Download CSV")
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import { table } from "@gampleman/table"
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import {text} from "@jashkenas/inputs"
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function serializeCsv (data) {
let parser = new json2csv.Parser();
let csv = parser.parse(data);
return new Blob([csv], {type: "text/csv"})
}
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import {fileInput} from "@mbostock/file-input"
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d3 = require("d3@5")
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