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Time of day plotEdit

0:00
4:00
8:00
12:00
16:00
20:00
24:00
2018-07-22
2018-07-23
2018-07-24
2018-07-25
2018-07-26
2018-07-27
2018-07-28

A scatter plot with an scaleBand for the y-scale to bucket them by day and a scaleTime for the x-scale. The only real fancy part of this plot is modifying the input data to be in "seconds since start of day" and generating the yDomain as every day between the min and max values, not just days for which we have values. This lets us see days in between that have no data.

<script>
  import { LayerCake, Html, calcExtents } from 'layercake';
  import { timeDay } from 'd3-time';
  import { scaleBand, scaleTime } from 'd3-scale';

  import AxisX from './_components/AxisX.percent-range.html.svelte';
  import AxisY from './_components/AxisY.percent-range.html.svelte';
  import Scatter from './_components/Scatter.html.svelte';

  // This example loads csv data as json using @rollup/plugin-dsv
  import data from './_data/days.csv';

  const xKey = 'seconds';
  const yKey = 'day';

  const r = 4;
  const padding = 2;

  const daysTransformed = data.map(d => {
    const parts = d.timestring.split('T');
    const time = parts[1]
      .replace('Z', '')
      .split(':')
      .map(q => +q);
    d[xKey] = time[0] * 60 * 60 + time[1] * 60 + time[2];
    d[yKey] = parts[0];
    return d;
  });

  /* --------------------------------------------
   * Generate a range of days in between the min and max
   * in case we are missing any in our data so we can show empty days for them
   */
  const extents = calcExtents(daysTransformed, {
    x: d => d.timestring
  });

  // Convert to string even though it is one to make Typescript happy
  const minDate = extents.x[0]
    .toString()
    .split('T')[0]
    .split('-')
    .map(d => +d);
  const maxDate = extents.x[1]
    .toString()
    .split('T')[0]
    .split('-')
    .map(d => +d);

  const allDays = timeDay
    .range(
      new Date(Date.UTC(minDate[0], minDate[1] - 1, minDate[2])),
      new Date(Date.UTC(maxDate[0], maxDate[1] - 1, maxDate[2] + 1))
    )
    .map(d => d.toISOString().split('T')[0])
    .sort();
</script>

<div class="chart-container">
  <LayerCake
    ssr
    percentRange
    padding={{ top: 0, right: 15, bottom: 20, left: 75 }}
    x={xKey}
    y={yKey}
    xDomain={[0, 24 * 60 * 60]}
    yDomain={allDays}
    xScale={scaleTime()}
    yScale={scaleBand().paddingInner(0.05).round(true)}
    xPadding={[padding, padding]}
    data={daysTransformed}
  >
    <Html>
      <AxisX
        ticks={[0, 4, 8, 12, 16, 20, 24].map(d => d * 60 * 60)}
        format={d => `${Math.floor(d / 60 / 60)}:00`}
      />
      <AxisY />
      <Scatter {r} fill="rgba(255, 204, 0, 0.75)" strokeWidth={0} />
    </Html>
  </LayerCake>
</div>

<style>
  /*
    The wrapper div needs to have an explicit width and height in CSS.
    It can also be a flexbox child or CSS grid element.
    The point being it needs dimensions since the <LayerCake> element will
    expand to fill it.
  */
  .chart-container {
    width: 100%;
    height: 250px;
  }
</style>