How is it that the identical group is unable to produce an accurate line chart and its corresponding range chart?

Check out my code snippet on JSFiddle here: https://jsfiddle.net/8yf7j3k6/11/

I am currently working on replicating a similar visualization of my data for a range chart, allowing me to scrub through the chart while utilizing tooltips in the line chart representing circulation data. However, I have encountered two issues that seem to be affecting my crossfilter and causing discrepancies in the appearance of the range chart:

  1. One issue arises when using the standard group generated by crossfilter, resulting in a value calculation that multiplies the circulation data by the number of regions in which the magazine was circulated. To address this, I created a mapping system to adjust the represented values based on the number of regions. I struggled to create a new group for this adjustment at the data level and instead incorporated it during the rendering step. Could this workaround potentially be causing the problems I am facing?

  2. Another concern involves using the same group for both the line chart and the range chart. In referencing the NASDAQ sample, there seems to be a different treatment of the data, likely related to binning rather than significant alterations. I am puzzled by why my graph shows such a drastic negative value at point zero.

Below is the code snippets for the problematic charts. Please note that some boilerplate code is included in the fiddle due to the absence of a CDN for dateformat.

    lineChart1
      .width(lineChart1Width-50)
      .height(lineChart1Height-50)
      .xUnits(d3.timeMonths)
      .margins({ top: 10, right: 10, bottom: 20, left: 80 })
      .dimension(dimension1)
      .rangeChart(lineChart1Range)
      .group(circulationGroup1)
      .colors(colorScales.blue[colorScales.blue.length - 1])
      .elasticY(true)
      .brushOn(false)
      .valueAccessor(function (d) {
          return d.value / circulationValuesMap[d.key]
      })
      .title(function (d) {
          return `${d.key.format('mmm dd, yyyy')}\nCirculation: ${d.value / circulationValuesMap[d.key]} `
      })
      .x(d3.scaleTime().domain([new Date(1925, 0, 1), new Date(1927, 0, 1)]))
      .render()


    lineChart1Range
      .width(getWidth('line-chart-1-range')) /* dc.barChart('#monthly-volume-chart', 'chartGroup'); */
      .height(40)
      .margins({top: 0, right: 50, bottom: 20, left: 80})
      .dimension(dimension1)
      .group(circulationGroup1)
      .valueAccessor(d => d.value / circulationValuesMap[d.key])
      .centerBar(true)
      .x(d3.scaleTime().domain([new Date(1925, 0, 1), new Date(1927, 0, 1)]))
      .round(d3.timeMonth.round)
      .alwaysUseRounding(true)
      .xUnits(() => 200);

    lineChart1Range.yAxis().ticks(0)
javascriptd3.jsdata-visualizationdc.jscrossfilter

Answer №1

The root of the issue lies within your CSS.

This particular rule is enforced on each initial child of any element residing within a container labeled .line-chart-container, including the brush overlay.

.line-chart-container :nth-child(1) {
  height: 15em;
}

Similar guidelines apply to the :nth-child(2) as well.

To resolve the problem, you should substitute the two CSS height regulations for the specific div elements.

#line-chart-1 {
  height: 15em;
}
#line-chart-1-range {
  height: 2em;
}

This adjustment eliminates the presence of the two oversized bars.

Furthermore, it appears that your line chart and range chart are misaligned due to their distinct widths and margins.

lineChart1Range
  .width(lineChart1Width-50)
  .height(40)
  .margins({top: 0, right: 10, bottom: 20, left: 80})
  .dimension(dimension1)
  .group(circulationGroup1)
  .valueAccessor(d => d.value / circulationValuesMap[d.key])
  .centerBar(true)
  .x(d3.scaleTime().domain([new Date(1925, 0, 1), new Date(1927, 0, 1)]))
  .round(d3.timeMonth.round)
  .alwaysUseRounding(true)
  .xUnits(() => 200);

All bars feature tooltips, but they may not be visible because the brush intercepts all mouse events. Perhaps disabling tooltips for this specific chart could offer a solution.

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