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This week we have Krist Wongsuphasawat on Data Stories to talk about visualization projects at Twitter. Krist has a Ph.D. in Computer Science from the University of Maryland, where he worked with Ben Shneiderman. Most recently, he has been a Data Visualization Scientist at Twitter since 2012.
On the show, Krist describes the kinds of projects that the visualization team at Twitter develops. He also walks us through a few of the most popular of these projects, including their famous visualization of Game of Thrones.
Also, don’t miss Krist’s masterpiece post “How I carefully crafted a truly terrible data visualization”
Enjoy the show!
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- Wahl 2Q17
- Enrico’s website
- Krist’s website
- The Twitter interactive page
- “How every #GameOfThrones episode has been discussed on Twitter”
- Twitter platform for developers
- Twitter D3Kit
- Krist’s post: “How I carefully crafted a truly terrible data visualization”
- Data Stories 11: emoto with Stephan Thiel from Studio NAND
- Data Stories 54: Designing Exploratory Data Visualization Tools with Miriah Meyer
- Data Stories 62: Text Visualization: Past, Present and Future with Chris Collins
- Data Stories 95: Challenges of Being a Vis Professional in Industry with Elijah Meeks
1. Our sponsor: Qlik (00:00:10)
2. An introduction to Data Stories for new listeners (00:00:48)
3. Support us on Patreon, please! (00:01:15)
4. Moritz's new project on the German elections: http://2q17.de/ (00:01:53)
5. Enrico's new research on tag clouds: enrico.bertini.io (00:03:23)
6. Introducing Krist Wongsuphasawat from Twitter (00:05:34)
7. Data viz at Twitter (00:08:15)
8. How the Twitter team works with sample data (00:14:04)
9. Krist's thoughts on customization when developing new tools (00:15:10)
10. The Twitter team's projects for the public, including data viz on Game of Thrones (00:18:47)
11. Developing new libraries at Twitter: Labella.js and d3Kit (00:23:09)
12. Twitter itself as a data source (00:26:44)
13. Krist's recommendations for how listeners could visualize Twitter data (00:32:29)
14. What is the value of data visualization for Twitter as a company? (00:35:52)
15. Suggestions for getting a job in data viz at a company like Twitter (00:39:27)
16. Krist's extra hobby: crafting the worst possible data visualizations (00:42:07)
17. If you liked this episode, check out these episodes (00:44:51)
18. Our sponsor: Qlik (00:46:24)
147 episodes available. A new episode about every 17 days averaging 47 mins duration .