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Data Viz Today - 51: Our Advice to Data Viz Designers Just Starting Out

51: Our Advice to Data Viz Designers Just Starting Out

01/28/20 • 14 min

Data Viz Today

I started this show almost two years ago, and I’ve been asking everyone that I interview: what’s your advice to data viz designers just starting out.

Today, I gathered all their advice and wrapped up nicely into this one episode.

Let's go!

Show Notes

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I started this show almost two years ago, and I’ve been asking everyone that I interview: what’s your advice to data viz designers just starting out.

Today, I gathered all their advice and wrapped up nicely into this one episode.

Let's go!

Show Notes

Previous Episode

undefined - 50: How to Fill Your Data Viz Toolbox — a New Years Resolution that won’t drive you crazy

50: How to Fill Your Data Viz Toolbox — a New Years Resolution that won’t drive you crazy

Happy new year!

It's time for goal-setting, right? One small thing you can do throughout the year that will make you a better information designer (and not drive you crazy) is focus on building your data viz toolbox.

I've been filling my toolbox over these past 50 episodes, and while I'll never be done filling it, the more I fill it, the easier my job is.

In this episode, I’ll share with you the top 9 episodes that helped give me a structure for filling my toolbox. Here's to 2020!

Show notes

Next Episode

undefined - 52: How to Keep Your Reader Engaged with Thoughtful Annotations — Featuring Alyssa Fowers

52: How to Keep Your Reader Engaged with Thoughtful Annotations — Featuring Alyssa Fowers

I’ve noticed that many of the really engaging graphics have something in common: really thoughtful annotations. Usually, we think of annotations as a way to communicate context (like the title, subtitle, data labels) or point out outliers or specific events.

But what if we thought of annotations as a tool beyond just context. What if we could use annotations to keep the reader more engaged?

In this episode, we’ll learn about a recent project by Alyssa Fowers, where she visualized data about protests around the U.S. and the specific things she did to create annotations that made her project more engaging. Let’s go!

Show notes

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