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Data Stories
A podcast on data visualization with Enrico Bertini and Moritz Stefaner.
About Data Stories
Data Stories is a web-based podcast focused on data visualization, hosted by Enrico Bertini and Moritz Stefaner. It releases regular episodes covering topics including data storytelling, visualization design, and information visualization research, with a full archive of past episodes accessible to listeners.
The site provides a searchable archive of full written transcriptions for all 170 released episodes, and associated code and data for episodes are available on GitHub for technical users.
Key features
- Regular data visualization podcast episodes hosted by Enrico Bertini and Moritz Stefaner
- Full written transcriptions for all 170 released episodes
- Searchable archive for browsing and searching past episode content
- Episode-associated code and data available on GitHub
Best for: It is most useful for data visualization practitioners, researchers, and designers seeking discussions on data storytelling, visualization techniques, and related field developments.
Good for
- Large, diverse archive of 170 episodes covering a wide range of data visualization topics
- Full transcriptions of all episodes are available for easy reference and searching
- Associated episode code and data are publicly accessible on GitHub
Data Stories at a glance
- Website
- datastori.es
- Category
- AI & Machine Learning › AI Data Visualization
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Data Stories FAQ
How many episodes of Data Stories have been released?
170 full episodes have been released, with a full archive available on the site.
Are transcriptions available for podcast episodes?
Full written transcriptions for all 170 episodes are available, with a searchable archive to browse and search content.
Where can I access code and data associated with episodes?
Episode-related code and data are publicly available on GitHub.
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