D3 Example

100%

✓ Published0🌍 Public

Last edited Nov 20, 2015

Created on Nov 20, 2015

This example demonstrates how to combine `d3.nest` and `d3.layout.stack` to prepare data for a stacked bar chart, using a dataset of religious populations by country. The code groups rows by religion via `d3.nest()`, then passes the nested entries to the stack layout with `stack.values()` and a custom `stack.y` accessor for the population column. It outputs the resulting stacked layers as a formatted JSON string in a `<pre>` element. The visualization reads from a local CSV file (`religionByCountryTop5.csv`) and uses D3.js version 3.5.5.

AI-generated description

This example shows how d3.nest and d3.layout.stack can be used in conjunction. This forms the basis for a stacked bar chart. This is example 16 from the screencast Splitting Charts.

MIT License

<div align="center"><a href="http://www.simplehitcounter.com" target="_blank"><img src="http://simplehitcounter.com/hit.php?uid=1979129&f=16777215&b=0" border="0" height="18" width="83" alt="web counter"></a></div>

Similar vizzes

Loading thumbnail…

D3 Example

This example demonstrates how D3’s stack layout transforms raw data by computing baseline offsets. It shows a table of world religious populations, where each row’s `y0` and `y` values are added through cumulative summing. The code uses `d3.layout.stack()` with a custom `y` accessor and `values` function, then outputs the result as JSON in a `<pre>` element. The data comes from `religionWorldTotals.csv`, parsed via `d3.csv`, and the visualization renders the transformed structure as text for inspection.

CCurran Kelleher

85% match

Loading thumbnail…

D3 Example

This example visualizes the religious composition of the top five countries by population, using grouped bar charts to compare the population counts for each religion side-by-side within each country. The chart is rendered as an SVG and built with D3.js, leveraging `d3.nest`, `d3.layout.stack`, and `d3.svg.axis` to structure and display the data, while a color legend from the d3-legend library identifies each religious group. Data is loaded from a CSV file containing country, religion, and population values.

CCurran Kelleher

84% match

Loading thumbnail…

D3 Example

This example displays grouped bar charts comparing the populations of five countries across eight religious categories. The visualization uses a stacked-to-grouped layout, with each religion represented by a distinct color from a categorical scale. The code loads data from a CSV file and leverages D3.js (version 3.5.5) with d3.nest, d3.layout.stack, d3.svg.axis, and d3.legend to render the SVG chart. Axes and legends are styled with the Open Sans font.

JJan0RodGar

83% match

Loading thumbnail…

D3 Example

This example presents grouped bar charts comparing religious affiliations across the five most populous countries, using population data loaded from a CSV via `d3.csv`. The code leverages `d3.nest` to structure data by religion and `d3.layout.stack` to layer the groups, while `d3.scale.ordinal` and `d3.scale.linear` map countries and population counts to SVG rectangles. A color legend is rendered with `d3.legend`, and axes are customized using `d3.svg.axis`. The visualization highlights stacked-to-grouped bar transitions, with styling via Open Sans fonts and D3 version 3.5.5.

AAsadeviB

83% match

Loading thumbnail…

D3 Example

This example shows a single stacked bar chart that breaks down the world’s total population by religious affiliation, using one bar per region (here, a single “World” region) with each segment colored by religion. The visualization uses the D3.js library’s `d3.layout.stack` to compute the stacking of values, while `d3.scale.ordinal` and `d3.scale.linear` map categorical regions and numeric populations to screen positions. Axes are rendered with `d3.svg.axis`, and a color legend is added via `d3.legend.color`. Data comes from the bundled CSV file `religionWorldTotals.csv`, which lists population counts for each religion, and the chart is drawn in SVG.

CCurran Kelleher

83% match

Loading thumbnail…

D3 Example

This example visualizes religious demographics in the top five most populous countries for 2010, using stacked bars to show the population of each religion within a country. The visualization, built with D3 and SVG, supports animation and interactivity. Users can hover over color legend entries to highlight specific religions, with a tooltip displaying the population for the hovered category. The chart draws on the Stacked-to-Grouped Bars technique and includes custom styling for axes and tooltips.

CCurran Kelleher

82% match

Loading thumbnail…

D3 Example

This example shows the population distribution across five countries, broken down by religious affiliation, using a stacked bar chart. The chart is rendered with SVG via the D3.js library, utilizing the `d3.nest` and `d3.layout.stack` APIs to group and stack the data, with `d3.scale.ordinal` and `d3.scale.linear` for the axes. The data is loaded from a CSV file, and the bars are colored using `d3.scale.category10`. The chart uses a custom SI formatter to display large numbers, such as "B" for billions, on the y-axis.

Yyuting89830@gmail.com

82% match

Loading thumbnail…

D3 Example

This stacked bar chart displays the distribution of religious populations across the top 20 countries by total population, using horizontal bars with color-coded religious categories. The visualization uses D3.js version 3, the d3-legend library for the color legend, and d3-tip for hover tooltips. It employs d3.layout.stack for stacking data layers, d3.svg.axis for chart axes, and animated SVG transitions to fade and highlight specific religion segments when hovering over legend items.

Tthemacmarketer

81% match