Skip to content
80 | Indexical Visualization with Dietmar Offenhuber episode artwork

Aug 10, 2016 40 min

80 | Indexical Visualization with Dietmar Offenhuber

from Data Stories Hosted by Enrico Bertini and Moritz Stefaner

We have Dietmar Offenhuber, Assistant Professor at Northeastern University, on the show again to talk about “Indexical Visualizations”: visualizations that reduce the gap between the recorded phenomenon and its representation. On the show we talk about strategies to define and build indexical visualizations. Dietmar provides numerous examples, including thermometers, tree rings, petri dishes, and the blinking lights in your router. He also offers tips on experimenting with this kind of visualization and connecting to the indexical vis community.

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

80 | Indexical Visualization with Dietmar Offenhuber

0:00 40:33

Chapters

  1. 0:14 Our sponsor: Tableau
  2. 1:01 Presenting our new theme music
  3. 2:09 Enrico and Moritz catch up on their summer
  4. 3:01 Re-Introducing Dietmar Offenhuber
  5. 3:45 What is Indexical Visualization?
  6. 6:58 Smoke, thermometers, and dust masks traces that make hidden realities visible
  7. 9:03 Limits to indexical visualizations: the problem of specificity
  8. 12:22 Scaling the distance between physical reality and its visualization
  9. 13:58 How we read symbolic visualizations
  10. 15:21 The difference between data visualization and indexical visualization
  11. 17:47 Our sponsor: Tableau
  12. 21:56 Abstraction and lost emotional impact
  13. 30:43 How to get started with indexical visualization
  14. 34:17 Examples of indexical visualization from past Data Stories episodes
  15. 38:51 Rate us and get in touch
  16. 40:04 Our sponsor: Tableau

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 40 minutes long.

When was this Data Stories episode published?

This episode was published on August 10, 2016.

Can I download this Data Stories episode?

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