Grow your data science skills at posit::conf(2024)

August 12th-14th in Seattle

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. In this presentation, I’ll introduce some reflections on these considerations and ways I’ve incorporated feedback (or not) into my work as Data Journalist at the ACLU. Lastly, I’ll present some of the sillier trials and errors I’ve made that were arguably necessary to my process in creating effective data visualizations using R.

Subscribe to more inspiring open-source data science content.

We love to celebrate and help people do great data science. By subscribing, you'll get alerted whenever we publish something new.