D3 Example

D3 Example

A pie chart of world religions uses a color legend to distinguish seven global religious groups by population. The D3.js code loads data from a CSV file and renders an SVG pie chart with an ordinal x-axis and categorical color scale. It employs `d3.layout.pie` and `d3.svg.arc` for the slices, and the `d3.legend.color` API from the d3-legend library to generate the color legend. The visualization highlights the relative sizes of religious populations, with Christianity as the largest segment.

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D3 Example

This visualization displays small multiples of donut charts, one per country, showing the religious breakdown of the five most populous nations. Each donut uses the same fixed radius, so the charts show only the proportion of religions within each country, not the total population, making the visual misleading for cross-country comparison. The code uses D3’s `d3.layout.pie` and `d3.svg.arc` to generate the slices, with nested selections via `d3.nest()` to group data by country. A color legend from `d3-legend` maps religions to colors, and the data comes from the Pew Research Center’s Global Religious Landscape dataset, loaded from a CSV file.

D3 Example

This small multiples visualization uses donut charts to show the religious breakdown of the five most populous countries. Each donut represents a country, with slices sized by the proportion of followers of each religion within that country, though the donuts themselves are equal-sized regardless of population. The code uses D3.js (v3) with `d3.layout.pie`, `d3.svg.arc`, and `d3.nest` for data grouping, plus the d3-legend library for the color legend. Data comes from the Pew Research Center’s Global Religious Landscape dataset, rendered as SVG.

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D3 Example

This is a small-multiples visualization of pie charts showing the religious breakdown of the five most populous countries. Each country’s donut chart displays the proportion of its population following each religion, but the charts are all the same size, so area is not proportional to population, which can be misleading. The code uses D3’s `d3.layout.pie` and `d3.svg.arc` to generate the slices, with nested selections binding data to each chart. It also employs the d3-legend library for the color legend and renders as SVG. Data comes from the Pew Research Center’s Global Religious Landscape dataset.

D3 Example

Small multiples of donut charts display the religious composition of the five most populous countries. Each donut’s area is proportional to that country’s total population, making the visualization more honest than a fixed-size comparison. The code uses `d3.nest()` to group data by country, `d3.layout.pie()` and `d3.svg.arc()` to construct the arcs, and a square-root `radiusScale` tied to population sums. Data comes from the Pew Research Center’s Global Religious Landscape dataset. A categorical `colorScale` and a `d3.legend.color()` legend encode the religions, with an `xAxis` labeling each country.

D3 Example

This example shows a radial bar chart that divides world religious populations into concentric, color-coded slices. The chart uses D3’s `d3.layout.pie` and `d3.svg.arc` to generate the layout, with each slice’s inner and outer radii scaled by its index, creating a donut-like spiral. The visualization loads data from a local CSV file (`religionWorldTotals.csv`) and renders as SVG, using `d3.legend.color` for the legend and axis scales for categorical labels. The code is an intermediate variant inspired by pie and donut charts, adapting them into a new radial form.

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D3 Example

This radial bar chart displays world religious populations using curved slices that extend outward from a central point. Each slice's length corresponds to population size, with values read along a shared horizontal axis, while colors distinguish religious groups. The code uses D3.js with `d3.layout.pie`, `d3.svg.arc`, and `d3.scale.ordinal` for positioning, and loads data from a CSV file. A color legend and bottom axis are rendered in SVG. The author notes that this technique distorts area-per-value perception, making it potentially misleading.

88% match