An example chart which combines JPMorgan's Perspective, which D3 and Scott Logic's d3fc.
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Perspective + d3fc
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| license: mit |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <!-- include polyfills for custom event, Symbol and Custom Elements --> | |
| <script src="//unpkg.com/[email protected]/dist/polyfill.js"></script> | |
| <script src="//unpkg.com/[email protected]/custom-event-polyfill.js"></script> | |
| <script src="//cdnjs.cloudflare.com/ajax/libs/document-register-element/1.8.0/document-register-element.js"></script> | |
| <!-- | |
| use babel so that we can use arrow functions and other goodness in this block! | |
| --> | |
| <script src="//unpkg.com/babel-standalone@6/babel.min.js"></script> | |
| <script src="//unpkg.com/[email protected]"></script> | |
| <script src="//unpkg.com/[email protected]"></script> | |
| <!-- perspective! --> | |
| <script src="https://unpkg.com/@jpmorganchase/perspective/build/perspective.js"></script> | |
| <style> | |
| body { | |
| font-family: sans-serif; | |
| font-size: 1.2em; | |
| } | |
| .tick { | |
| font-size: 1.2em; | |
| } | |
| #chart { | |
| width: 100%; | |
| height: 500px; | |
| position: relative; | |
| } | |
| .x-axis .domain { | |
| display: none; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div id="chart"></div> | |
| <script src="index.js" type="text/babel"></script> | |
| </body> | |
| </html> |
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| const color = d3 | |
| .scaleOrdinal() | |
| .range([ | |
| "#FFD700", | |
| "#C0C0C0", | |
| "#CD7F32" | |
| ]); | |
| const yExtent = fc | |
| .extentLinear() | |
| .accessors([d => d.map(e => e[1])]) | |
| .include([0]); | |
| const url = | |
| "https://raw.githubusercontent.com/ag-grid/ag-grid/master/packages/ag-grid-docs/src/olympicWinnersSmall.json"; | |
| const xhr = new XMLHttpRequest(); | |
| xhr.open("GET", url, true); | |
| xhr.onload = async () => { | |
| const table = perspective.worker().table(JSON.parse(xhr.response)); | |
| const aggregates = ["gold", "silver", "bronze"]; | |
| const view = table.view({ | |
| row_pivot: ["year"], | |
| aggregate: aggregates.map(column => ({ | |
| column, | |
| op: "sum" | |
| })), | |
| filter: [["country", "==", "United States"]] | |
| }); | |
| const columnarData = await view.to_columns(); | |
| // convert the columnar data into a shape which is more | |
| // compatible with D3 | |
| const series = aggregates.map(key => | |
| columnarData[key] | |
| .slice(1) | |
| .map((d, i) => [columnarData.__ROW_PATH__[i + 1][0], d]) | |
| ); | |
| color.domain(aggregates); | |
| const groupedBar = fc | |
| .seriesSvgGrouped(fc.seriesSvgBar()) | |
| .crossValue(d => d[0]) | |
| .mainValue(d => d[1]) | |
| .bandwidth(120) | |
| .decorate((sel, data, index) => { | |
| sel | |
| .enter() | |
| .select("path") | |
| .attr("fill", color(aggregates[index])); | |
| }); | |
| const chart = fc | |
| .chartSvgCartesian(d3.scalePoint(), d3.scaleLinear()) | |
| .xDomain(series[0].map(s => s[0])) | |
| .xPadding(0.5) | |
| .yDomain(yExtent(series)) | |
| .yTickFormat(d3.format(".2s")) | |
| .yOrient("left") | |
| .plotArea(groupedBar) | |
| .chartLabel("Medals won by the United States"); | |
| d3.select("#chart") | |
| .datum(series) | |
| .call(chart); | |
| }; | |
| xhr.send(null); |
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