Skip to content
33 | HelpMeViz w/ Jon Schwabish episode artwork

Mar 3, 2014 1 hr 1 min

33 | HelpMeViz w/ Jon Schwabish

from Data Stories Hosted by Enrico Bertini and Moritz Stefaner

Hi Everyone! We have Jon Schwabish on the show in this episode. Jon is an economist who specializes in data visualization for politics and economics. You can see some of his work in the blog he writes called Policyviz. We invited him to talk about his recent new initiative called HelpMeViz, a web site where people can send requests to visualize some data of interest or redesign some particularly tricky charts. The web site quickly gained some momentum and already publishes quite a nice set of charts, suggested redesigns, and most of all very insightful discussions (it's not just the usual I like this, I like that). There is a lot to learn there. In the interview we talk about how HelpMeViz was born, how it works, what kind of entries they have been published so far and how it's going to evolve. Give a look to HelpMeViz and submit your own charts and data there! Links How HelpMeViz works ... Jon's "An Economist's Guide to Visualizing Data" (full of very nice examples of chart redesign) Interesting discussions from HelpMeViz: Budget Pie Chart Triplet State Migration Flows Debate About Colors --- And here's another piece of great news: For the first time, this episode was audio edited and annotated by a volunteer helper - woo! Fabricio Tavares was kind to help us. Thanks a million! The equation is simple: less audio editing work for Moritz means more episodes we can do in a year. Get in touch in case you would like help us, too!

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

33 | HelpMeViz w/ Jon Schwabish

0:00 1:01:43

Chapters

  1. 0:00 Enrico and Moritz catching up
  2. 3:56 Listener feedback
  3. 5:37 Our guest: Jon Schwabish
  4. 11:31 PolicyViz
  5. 18:15 What are the things people ask for in training, improving graphics?
  6. 21:25 Slideshow effect
  7. 29:29 HelpMeViz
  8. 33:14 How it is used
  9. 36:29 Improvements
  10. 37:55 Vis with context
  11. 39:38 Free labor
  12. 43:04 Debate culture
  13. 45:44 What's next?
  14. 51:16 Favorite posts
  15. 53:56 More case studies
  16. 55:57 Wrapping it up

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Data Stories?

This episode is 1 hour and 1 minute long.

When was this Data Stories episode published?

This episode was published on March 3, 2014.

Can I download this Data Stories episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.