Topics in Data Viz

How We’ve Learned Data Viz, and Why You May Want To Do It Differently

The Data Visualization Society members share how they began learning data viz and what could have made it easier.

Alli Torban
Nightingale
Published in
5 min readMay 24, 2019

--

Learning data viz. Original illustrations by Martin Telefont.

On a dedicated channel, #dvs-topics-in-data-viz, in the Data Visualization Society Slack, our members discuss questions and issues pertinent to the field of data visualization. Discussion topics rotate every two weeks, and while subjects vary, each one challenges our members to think deeply and holistically about questions that affect the field of data visualization. At the end of each discussion, the moderator recaps some of the insights and observations in a post on Nightingale. You can find all of the other discussions here.

👋 “How do I learn data viz?”

This is probably the most common newbie question. It’s a hard question to answer because it depends on where you’re starting and who you’re asking.

A couple of years ago, I wanted to learn more about data visualization, so I wandered over to the Technology section in Barnes & Noble and picked up Nathan Yau’s Data Points. I devoured it because it’s an approachable introduction to different chart types and encoding methods.

--

--

Alli Torban
Nightingale

Data Visualization Designer⚡️Host of Data Viz Today Podcast 🎧 www.dataviztoday.com