Better Data Visualizations - a Guide for Scholars, Researchers, and Wonks

Name: Better Data Visualizations - a Guide for Scholars, Researchers, and Wonks
ISBN: 9780231193115

Jonathan A. Schwabish · 2021

Data & Statistics Mathematics

Open Library Amazon

Stats for nerds

2recommend

2mentions

2people

2021–2025years

100% recommend

Mentions per year

What Hacker News says

RockyMcNutsAug 2025
ok, that makes sense.
not indicated, and the general idea of dataviz is to communicate clearly. when you have a number, what it represents should be noted, and the units. if I see a number in that context, I assume it's calling out the value displayed.
the x axis is also a bit off, would ideally plot the date of the release and use a proper time axis.
a title is also good to have, maybe a data table.
sorry to be cranky but those who are downvoting , try to be clear, learn some standards, or stay away from publishing charts. you can even ask AI to clean up your code to conform to a standard. Soft skills are important for an engineer. You need to explain the work in clear, persuasive language and dataviz. or you can be, I'm a super-smart engineer, you figure out what I'm trying to say, I don't need to worry about making your eyes bleed. crikey.
https://www.datavizstyleguide.com/
https://www.amazon.com/Better-Data-Visualizations-Scholars-R...
https://guides.library.jhu.edu/datavisualization/scientific
https://github.com/rougier/scientific-visualization-book
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brezelnbitteDec 2021
Tufte is a waste of time unless you’re interested in history of dataviz. While he makes excellent points on the graphics of the time, he makes at least an equal portion of questionable points. He's a bit of a luddite when discussing the utility of computers and takes a dogmatic approach to minimalism and design that doesn't have room for differing opinions. His opinions also do not hold in light of recent research into how humans interpret visual information. For example, he often recommends tables over bar charts when it's now been shown that bar charts are processed faster and easier.
Better Data Visualizations by Jonathan Schwabish is the best. He combines all the insight from recent data biz books like Storytelling with Data or Cairos series into a comprehensive guide. Even has a practical section on visualizing qualitative data, which I never see.
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