Tutorials

✚ How to Make a Moving Bubble Chart, Based on a Dataset

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by Nathan Yau / April 23, 2019 / d3js, Tutorials

Ooo, bubbles... It's not the most visually efficient method, but it's one of the more visually satisfying ones. Read More

✚ How to Make a Bump Chart in R

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by Nathan Yau / March 26, 2019 / R, Tutorials

Visualize rankings over time instead of absolute values to focus on order instead of the magnitude of change. Read More

✚ How to Make Dot Timelines in R

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by Nathan Yau / February 28, 2019 / R, Tutorials

For when you want to show the occurrence of events over time. Read More

✚ How to Make a Mosaic Plot in R

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by Nathan Yau / January 29, 2019 / R, Tutorials

Also known as a Marimekko diagram, the mosaic plot lets you compare multiple qualitative variables at once. They can be useful, sometimes. Read More

✚ How to Make Animated (GIF) Heatmaps in R

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by Nathan Yau / January 15, 2019 / animation, R, Tutorials

Using color as the visual encoding, show changes over time in two dimensions. Read More

✚ How to Make an Interactive Map of Geographic Paths

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by Peter Cook / December 5, 2018 / d3js, Javascript, leaflet, Tutorials

With latitude and longitude coordinates, there are a number of ways to map geographic data using D3.js and Leaflet. Read More

✚ How to Make Frequency Trails in R

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by Nathan Yau / November 2, 2018 / R, Tutorials

Also known as ridgeline plots, the method overlaps time series for a 3-D-ish view of the data. While perhaps not the most visually efficient, the allure is undeniable. Read More

✚ How to Make an Animated Pyramid Chart with D3.js

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by Peter Cook / October 10, 2018 / animation, d3js, pyramid, Tutorials

Compare distributions side-by-side with a pyramid chart. Observe the change over the years by animating it. Read More

✚ How to Make a Tiled Bar Chart with D3.js

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by Peter Cook / September 20, 2018 / d3.js, Tutorials

Show individual data points by splitting bars into smaller cells. Read More

✚ How to Make Better-Looking, More Readable Charts in R

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by Nathan Yau / August 28, 2018 / parameters, R, Tutorials

Defaults are generalized settings to work with many datasets. This is fine for analysis, but data graphics for presentation benefit from context-specific design. Read More