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Author Archives: richardbrath
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
Readability
Readability and what it means for data visualization Type can be legible, but still unreadable. Consider this image: Beautiful Helvetica, mirrored and rotated 180 degrees. Two highly common words from the English language. Letters are perfectly legible and even turn … Continue reading
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
Posted in Data Visualization, Pokemon, Text Visualization
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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
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
Posted in Alphanumeric Chart, Data Visualization, Line Chart, Microtext
Tagged dataviz
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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
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
