Normalized Stacked Bar Chart

Normalized Stacked Bar Chart

This example shows survey responses across different frequencies of playing, with each bar normalized to represent the proportion of respondents in each occupational category. The chart uses a stacked bar layout where the total height of each bar equals 100%, making it easy to compare category distributions across the frequency groups. The visualization is built with D3 v4, using `d3.stack()` with `d3.stackOffsetExpand` to normalize the data, and renders the bars as SVG rectangles. The data comes from a CSV file, and the chart includes a legend positioned along the rightmost bar to identify each occupational group.

JJdlv00

81% match

Normalized Stacked Bar Chart

A normalized stacked bar chart displays age-group distributions as proportional segments across U.S. states, with each bar totaling 100% to facilitate cross-state comparison. The visualization uses D3 v4’s `d3.stack` with the `stackOffsetExpand` offset, scales via `d3.scaleBand` and `d3.scaleLinear`, and renders SVG rectangles. Data comes from a CSV of state population figures, sorted by the share of residents under 5 years old. A legend and axis with percentage ticks are included, all styled with D3’s default categorical color scheme.

FFrissAnalytics

80% match

Normalized Stacked Bar Chart

This normalized stacked bar chart displays the percentage distribution of age groups across U.S. states, sorting states by the proportion of their youngest residents. Using D3 v4, it applies `d3.stack` with `stackOffsetExpand` to scale each bar to full height, then renders SVG rectangles with an ordinal color scale for age categories. Axis labels are formatted as percentages, and a custom legend anchored to each bar’s final segment identifies each series. The chart loads population data from `data.csv` and sorts states in descending order of the "Under 5 Years" share.

Mmbostock

Stacked bar chart

A stacked bar chart displays the time required for five business processes, comparing required working hours against missing hours for each category. The chart uses d3.v4 to bind data from a local JSON file, structuring the dataset through a map function that generates intermediate array objects for rendering. The visualization relies on D3’s data-join and scale APIs to position and size the bars, with each process split into two stacked segments representing the required and missing hour values. The accompanying HTML file sets up a full-viewport body and loads D3 from the official CDN.

Stacked bar chart

A stacked bar chart displays the time required for five business processes, comparing required working hours against missing hours for each category. The chart uses d3.v4 to bind data from a local JSON file, structuring the dataset through a map function that generates intermediate array objects for rendering. The visualization relies on D3’s data-join and scale APIs to position and size the bars, with each process split into two stacked segments representing the required and missing hour values. The accompanying HTML file sets up a full-viewport body and loads D3 from the official CDN.

Stacked bar chart

A stacked bar chart displays the time required for five business processes, comparing required working hours against missing hours for each category. The chart uses d3.v4 to bind data from a local JSON file, structuring the dataset through a map function that generates intermediate array objects for rendering. The visualization relies on D3’s data-join and scale APIs to position and size the bars, with each process split into two stacked segments representing the required and missing hour values. The accompanying HTML file sets up a full-viewport body and loads D3 from the official CDN.

Stacked bar chart

A stacked bar chart displays the time required for five business processes, comparing required working hours against missing hours for each category. The chart uses d3.v4 to bind data from a local JSON file, structuring the dataset through a map function that generates intermediate array objects for rendering. The visualization relies on D3’s data-join and scale APIs to position and size the bars, with each process split into two stacked segments representing the required and missing hour values. The accompanying HTML file sets up a full-viewport body and loads D3 from the official CDN.