HeyJaredViz Responsibly
How to be a better creator, reader, or re-sharer of data visualization in today's AI-obsessed world.
- Indexed issues, last 90 days
- 4
- Latest publication
- Sep 24, 2026
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- Jul 7, 2026
Latest issues
Happy book birthday! (opens the original)
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Yesterday was my book birthday!On September 23, 2025, Dashboards That Deliver shipped out into the world.The book was a labor of love across four co-authors with 480 pages, 293 graphics, and weeks of time drafting, revising, editing, and fine tuning what would eventually ship as an 8x8 square with a purple cover.<a class="image-link image2 is-viewable-img" href="https://substackcdn.com/image/fetch/$s_!tp_Q!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.co
Back to school for data designers (opens the original)
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We’re back to school for students next week here in Wisconsin. With summer wrapping up, I’ll be back to a more regular newsletters, including next week’s installment all about lessons in trust that come from the bad design of AI flyers. (I know some of you are cringing as your brain conjures up examples of those sloppy, overdone, chaotic messes with five different fonts.)As calendars start to fill, I wanted to flag three early-ish September events that will help you communicate data more effecti
Headlines, charts, and polling data in the Wisconsin gubernatorial primary (opens the original)
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When I think about common times when we collectively look at charts, COVID comes up as a historic example. Weather data for daily life. And election data as we track candidates’ chances and favorability of issues that play into electability.This week, let’s talk about election charts that I’ve been spending way too much time browsing as a Wisconsin voter and data nerd.Subscribe nowAbout the raceThe Wisconsin democratic primary for governor is coming up on August 11. One of f
What's the risk in using AI tools for analytics? (opens the original)
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There’s a lot of “use AI or get left behind” on my timeline these days, including among data and analytics folks.The case for experimenting with AI tools and integrating them into our workflows seems to center on:We can make things faster (and maybe better?). This can be a good thing, but only if we don’t consider speed or efficiency as the only measure of success that matters. Data viz instructors who I admire deeply have been sharing about their experiments with genAI tools for brainstorming a
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