Fork of [TEST] Pie Chart

D3 Example

This visualization displays small multiples of pie charts showing the religious breakdown of the five most populous countries. Each donut uses color-coded slices for different religions, with all charts scaled equally regardless of population, highlighting proportional composition within each nation. The code uses D3.js with `d3.layout.pie` and `d3.svg.arc` for chart generation, `d3.nest` for data grouping, and the d3-legend library for the color key. Data comes from the Pew Research Center Global Religious Landscape dataset.

LLjfernando

Pie chart Test

A pie chart displays the relative populations of ten countries, with each slice labeled by country name. The chart is rendered as an SVG using D3 v6, with slices generated by `d3.pie()` and drawn via `d3.arc()` paths. Colors are assigned from an ordinal scale, and labels are positioned using the `label.centroid()` method. The data comes from a static array embedded in the script rather than the linked `data.csv` file.

SSergio Eijben

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.

CCurran Kelleher

Fork of Fork of Pie chart Test111

This example displays a pie chart of country populations in SVG, using an ordinal color scale with a fixed palette. The chart is generated with d3.pie and d3.arc, and each slice is labeled with the country name positioned via d3.arc centroid coordinates. Data is loaded from a CSV file with d3.csv, and the chart is centered inside a large 4000x4000 SVG viewport. The code uses d3.v6 and relies on data binding to append path and text elements per slice.

Ppeterwang6666

Fork of Pie Chart

This example shows a pie chart of the populations of the ten most populous countries, with each slice labeled in a side legend. Data is loaded from a CSV file using `d3.csv`, sorted, and sliced before being passed to `d3.pie` and `d3.arc` to generate the SVG segments. The chart uses `d3.scaleOrdinal` with `schemeCategory10` for slice colors and appends legend groups with rectangles and text. Hovering over a slice logs its population value to the console.

Nnithish-1999

D3 Example

This example shows small multiples pie charts comparing the religious breakdown of the world’s five most populous countries, with each pie’s area scaled proportionally to that country’s total population. The visualization uses D3’s nested selections and d3.layout.pie with d3.svg.arc to draw the charts, d3.scale.sqrt for the population-based radius, and d3.legend.color for the categorical color key. Data comes from the Pew Research Center’s Global Religious Landscape dataset, loaded from a CSV file.

CCurran Kelleher

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.

CCurran Kelleher

Fork of pie chart

A pie chart displays the GDP distribution of the top ten countries, with each slice proportionally sized and labeled with the country name, alongside a legend. The D3.js code (v7) uses `d3.pie()` to compute arc data and `d3.arc()` to generate SVG paths, with `d3.scaleOrdinal` assigning colors. A separate SVG legend lists countries with color swatches. The hardcoded dataset is embedded directly in the JavaScript.

Nnitishsurneni@gmail.com