Category Archives: Data Visualization

50 categoric colors, inspired by telephone wires

Using colors to represent different categories of data is challenging to scale past ten unique colors. Many authors and researchers recommend against it. Colobrewer2 doesn’t go past 12 unique colors. D3.js offers three variants of color scales with 20 unique colors. … Continue reading

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The 19 Dimensional Word Cloud of Pokémon

If you want to catch all 719 Pokémon, the serious gamer needs to know their different skills and abilities. At a high-level, Pokémon classify into 18 different types, such as fire, water or grass. For example, Pikachu is an electric type, Charmander … Continue reading

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Papers, Rejections and Critiques

There have been a few recent blog posts after VisWeek about paper rejections such as Niklas’ Elmqvist’s Dealing with Rejection and Robert Kosara’s related Dealing with Paper Rejections. Rejections are certainly a painful part of the academic review process I’ve … Continue reading

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Microtext Line Charts

Sometimes a line chart needs to display a lot of lines. Instead of splitting into a grid of charts, consider replacing the lines with text. Continue reading

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Visualizing Emotions

Emotion analysis of text documents is an emerging area of interest. Closely related is the visualization of emotions. Emotion analysis is the next step after sentiment analysis. In many respects, sentiment analysis is easier – there’s a single dimension of sentiment … Continue reading

Posted in Data Visualization, Font Visualization, Graph Visualization, Set Visualization, Text Visualization, Venn Diagram | Tagged , | Leave a comment

The Design Space of Typographic Data Visualization

There are many possible new visualizations using typography, some of which I’ve previously discussed in posts on this blog. One way to consider this design space is to decompose it into the different elements that can be used to assemble visualizations. These … Continue reading

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500+ years of increasing separation of text from visualization

In the beginning typography and infovis were tightly integrated. In this illuminated manuscript from circa 1480, the biblical text and the genealogical tree interwoven. Text in the visualization is not just simple labels. While bold, italics and sans serif don’t exist … Continue reading

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