The philosophy of this library is to take care of rendering, while leaving all data handling to the developer. In practice:
Yard is built to be highly composable, breaking components down into small pieces that can be easily customized and combined to make complex visualizations. E.g, to create a multi-series line chart with axes and a simple horizontal grid:
const data = [
{
"date": new Date("2011-10-01T04:00:00.000Z"),
"New York": 63.4,
"San Francisco": 62.7
},
{
"date": new Date("2011-10-02T04:00:00.000Z"),
"New York": 58,
"San Francisco": 59.9
}, ...
];
const nyY = d => d['New York'];
const sfY = d => d['San Francisco'];
const x = d => d.date;
const xScale = d3.scaleTime()
.domain(d3.extent(data, x));
const yScale = d3.scaleLinear()
.domain([10, 100]);
<Chart
width="600"
height="300"
xScale={xScale}
yScale={yScale}
>
<YGrid strokeDasharray={'2, 3'} />
<XAxis />
<YAxis />
<LineChart
data={data}
x={x}
y={nyY}
stroke="red"
/>
<LineChart
data={data}
x={x}
y={sfY}
stroke="blue"
/>
</Chart>
npm run dev