I recently went on a journey to improve my design skills, and looking back, I learned a lot about how to build a skill and one big lesson about being a creator...

Show notes: https://dataviztoday.com/shownotes/57

Chart legends are so key (ha!) to make your chart understandable, but you need to give it some thought and care.

The goals of a good legend: informative and concise

It shouldn't be a puzzle.

So how can we enhance the default legend to be more informative and concise without becoming a puzzle?

Let's jump into 3 ways to enhance your legend!

Show notes

What are the invisible tools (i.e. processes or methods) that I use to help me create visualization more efficiently?

I pinpointed 3 roadblocks that I encounter frequently, and in this episode, I share the invisible tools that I use to catapult over them and keep moving.

Let's go!

Are you interested in freelancing or consulting in data visualization? Being your own boss as a full-time freelancer has its own set of unique challenges, and of course, many benefits!

But from the outside looking in, it's hard to know where to even start...

How do you find clients? How do you know what to offer?

How do you reach out and pitch to potential clients? How do you communicate the value that you bring and know what to charge?

How do you make sure you end up getting paid?!

There's so much! But don't worry, Dr. Stephanie Evergreen joins me today, and I asked her all the questions. Let's go!

In this episode, Shirley Wu shares the specific things that she looks for in potential collaborators, the steps she took to execute her innovative People of the Pandemic game, and how she overcame her moments of self-doubt under the mounting complexity of creating a game from scratch…

Show notes

You feel that mounting frustration in your body and you're about to lose your patience... what could have avoided this?!

In this episode, I talk about 3 common sources of frustration and what you can do to sidestep them. Let's go!

Show notes

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

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

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

Why do we care about finding the underlying emotion in our project?

Because it can help guide us toward visualizing the data in a more meaningful way for our audience. It helps you hone in on their point of view and what they really want.

In this bonus episode, I show a quick technique that I learned recently that helps me get to the underlying emotions quickly.

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Original data viz about DVS survey results

Contagious by Jonah Berger

Grafiti.io