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Documentation for Layer Cake v10, before Svelte 5 runes. Current docs at layercake.graphics

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Cleveland dot plot

You could reshape the rows into name, value and group and plot them like a scatter plot. This chart skips that with Layer Cake's accessor shorthand: the x accessor is the list of columns to plot, so k.xGet(row) turns each row into a list of pixel values, one per dot.

  • +page.svelte
  • ./_components/ClevelandDotPlot.svelte
  • ./_components/AxisX.svelte
  • ./_components/AxisY.svelte
  • ./_data/fruitOrdinal.csv
<script>
  import { LayerCake, Svg } from 'layercake';
  import { scaleBand, scaleOrdinal } from 'd3-scale';

  import ClevelandDotPlot from './_components/ClevelandDotPlot.svelte';
  import AxisX from './_components/AxisX.svelte';
  import AxisY from './_components/AxisY.svelte';

  // The CSV rows are parsed, and their numbers typed, by @rollup/plugin-dsv. See vite.config.js
  import data from './_data/fruitOrdinal.csv';

  const yKey = 'year';
  // Every column but the year is a dot, so the x accessor is the list of those columns
  const xKey = Object.keys(data[0]).filter(d => d !== yKey);

  const seriesColors = ['#ff00cc', '#00bbff', '#00e047', '#ff7a33'];
</script>

<div class="chart-container">
  <LayerCake
    padding={{ right: 10, bottom: 20, left: 30 }}
    x={xKey}
    y={yKey}
    yScale={scaleBand().paddingInner(0.05).round(true)}
    yDomainSort={true}
    xDomain={[0, null]}
    xPadding={[10, 0]}
    cScale={scaleOrdinal()}
    cDomain={xKey}
    cRange={seriesColors}
    {data}
  >
    <Svg>
      <AxisX />
      <AxisY gridlines={false} />
      <ClevelandDotPlot />
    </Svg>
  </LayerCake>
</div>

<style>
  /* Give the wrapper a width and height. LayerCake fills it. */
  .chart-container {
    width: 100%;
    height: 250px;
  }
</style>