Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks cover
Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks
by Arash Azizi
ISBN: 0861541170
Found in 1 comment on Hacker News
View on Amazon
We may earn a commission from purchases made through links on this page.
Not ready yet? Get weekly book picks.
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