Artwork

Content provided by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

105 | Data Visualization at Twitter with Krist Wongsuphasawat

46:43
 
Share
 

Manage episode 206367956 series 2313435
Content provided by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

[Help us run the show by supporting us on Patreon!]

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!


Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at qlik.de/datastories.


Links

Related Episodes


  continue reading

Chapters

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)

170 episodes

Artwork
iconShare
 
Manage episode 206367956 series 2313435
Content provided by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

[Help us run the show by supporting us on Patreon!]

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!


Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at qlik.de/datastories.


Links

Related Episodes


  continue reading

Chapters

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)

170 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide