Enrico Bertini (FILWD)
@ebertini.bsky.social
FILWD on Substack: https://filwd.substack.com/. Weekly post on data visualization and beyond (quite some AI lately).
Data visualizer (teaching, researching, divulging, etc.) Faculty at Northeastern University. Italian. Father of 3.
Data visualizer (teaching, researching, divulging, etc.) Faculty at Northeastern University. Italian. Father of 3.
I love this example because it's a good illustration of the fact that one cannot simply learn the lesson from Anscombe's quadrants and think that increasing granularity always leads to greater transparency/faithfulness. Too many details can hide a signal as much as too few!
November 23, 2025 at 11:43 PM
I love this example because it's a good illustration of the fact that one cannot simply learn the lesson from Anscombe's quadrants and think that increasing granularity always leads to greater transparency/faithfulness. Too many details can hide a signal as much as too few!
Maybe good for prototyping?
August 20, 2025 at 12:48 AM
Maybe good for prototyping?
Oh, sorry ... I did not realize it!
April 2, 2025 at 11:18 PM
Oh, sorry ... I did not realize it!
Yes! You can try! It takes probably less than 5 minutes! :)
April 1, 2025 at 6:21 PM
Yes! You can try! It takes probably less than 5 minutes! :)
Thanks Chiqui! Somehow, I never managed to learn it.
February 21, 2025 at 1:22 AM
Thanks Chiqui! Somehow, I never managed to learn it.
It's fabulous!!! I'll share it with my students. Thanks so much!!!
February 18, 2025 at 7:29 PM
It's fabulous!!! I'll share it with my students. Thanks so much!!!
Great to hear I was useful somehow!
February 16, 2025 at 7:45 PM
Great to hear I was useful somehow!
P.s. I have become incredibly skeptical about the relevance of many distinctions we make in visualization. Often, there are bigger problems to address elsewhere in the pipeline.
January 27, 2025 at 8:43 PM
P.s. I have become incredibly skeptical about the relevance of many distinctions we make in visualization. Often, there are bigger problems to address elsewhere in the pipeline.
It seems sensible to avoid gaps when it's a histogram. But overall, I am not sure that it matters a lot. My intuition is that most people have a hard time with histograms, whether there are gaps or not.
January 27, 2025 at 8:43 PM
It seems sensible to avoid gaps when it's a histogram. But overall, I am not sure that it matters a lot. My intuition is that most people have a hard time with histograms, whether there are gaps or not.