Information design is about understanding data.
Whether you’re writing an article for your newspaper, showing the results of a campaign, introducing your academic research, illustrating your team’s performance metrics, or shedding light on civic issues, you need to know how to present your data so that other people can understand it.
Regardless of what tools you use to collect data and build visualizations, as an author you need to make decisions around your subjects and datasets in order to tell a good story. And for that, you need to understand key topics in collecting, cleaning, and visualizing data.
This free, Creative Commons-licensed e-book explains important data concepts in simple language. Think of it as an in-depth data FAQ for graphic designers, content producers, and less-technical folks who want some extra help knowing where to begin, and what to watch out for when visualizing information.
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