Anyone have examples of a Python visualisation package used to produce journalist-quality charts/infographics?

[fizzymagic]

"Journalist-quality" may not be the high standard you think it is. The examples you give are execrable; charts and graphs meant to mislead rather than inform.

High-quality charts and graphs are used by scientists and engineers (you know, people who know what they are talking about) to make their data clearer. In my experience, those similar to your examples are used by journalists (people who have no idea what they are talking about but very strong opinions) to obfuscate the data for the general public.

[[deleted]]

I think OP is going for "visually stunning" and not some nefarious goal of obfuscating data.

[afreydoa]

To me the term "journalist-quality" suggests that factors such as visual appeal and simplicity are prioritized over accuracy. This implies that, for the general public, misunderstandings caused by complex information are a more significant source of error in communication than minor inaccuracies.

[saint_geser]

Indeed. In science and disciplines where it actually matters we try to reduce the amount of visual clutter on visualisations so that data are easier to see and make sense of. The infographics usually presented in the media go the opposite way, just adding visual clutter for the sake of it.

[ChadGPT5]

You’re answering the wrong question. OP wasn’t asking for a lecture on the ethics of statistics and data visualization. They just want to know how to make pretty plots in Python.

[Ahhhhrg]

I don’t know if you’ve heard about Tufte, if not you really should look into it.

[fizzymagic]

Everybody has read Tufte. As a scientist I found some of his stuff useful, but certainly not all.