columns = Object.keys(data[0]);
dataGroups = d3.group(selectedRows, d=>d[groupBy])
testData = {
let testData = [];
dataGroups.forEach((values, keys) => {
testData.push([keys, d3.mean(values.map( val => val[colToShow] )), d3.deviation(values.map( val => val[colToShow] ))])
})
return testData;
}
viewof groupvals = Inputs.select(data.map(d => d[groupBy]), {sort: true, unique: true, multiple:true});
viewof separate = Inputs.toggle({label: "Separate plots"})
viewof statsTable = Inputs.table(testData,{
header:["name", "mean", "sd"],
maxWidth:300})
viewof graphResult = {
if (separate) {
return Plot.plot({
grid: true,
x: {
domain: [0, 1]
},
y: {
label: null
},
facet: {
data:selectedRows,
y:groupBy,
},
marks: [
Plot.rectY(selectedRows, Plot.binX({y: "count"}, {x: colToShow, fill: groupBy})),
Plot.ruleY([0])
]
})
} else {
return Plot.plot({
grid: true,
x: {
domain: [0, 1]
},
marks: [
Plot.rectY(selectedRows, Plot.binX({y: "count"}, {x: colToShow, fill: groupBy, mixBlendMode: "multiply"})),
Plot.ruleY([0])
]
})
}
}
data = { // this is a JS Array of Objects; the key-value pairs consist of the column headers and the cell data
let names =[];
const spreadsheet = await d3.tsv(url).then(data => data.forEach(d => names.push(d))); // d3.tsv returns a Promise
return names;
}
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.
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Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.