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Explore the full Posit content library, from ebooks to webinars and reports, and learn how teams power data science with R, Python, and AI.

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Video

Trial and Error in Data Viz at the ACLU

Visualizing data the “right” way requires many considerations — the topic, the quality of your data, your audience, your time frame, and the various channels of (sometimes conflicting) feedback you received.
Video

Your public garden

As people who can write code and analyze data, we have a lot of input and power over what our digital and work worlds looks like, and therefore can act as agents of change and repair.