I was wondering what you think about a stepwise (?) interpolation for line charts (instead of linear)? I've been using it for election results recently as I think it's a better representation of the data (as the results do not change over time, but on election day).
I've also used it for displaying multiple results at a time, and while I was happy with the bar/density-like effect between the changes at first, I'm starting to think linear is somewhat clearer in this case.
Amazing yet creepy tech demo, with oh so many unanticipated consequences… https://petapixel.com/2018/04/23/nvidias-ai-powered-content-aware-fill-is-mind-blowing/
“Stack Overflow isn’t very welcoming. It’s time for that to change.” https://medium.com/@jayhanlon/welcome-wagon-dd57cbdd54d9
Good to see a new emphasis on being *welcoming*.
See this thoughtful write-up explaining the origins of that project: https://emptysqua.re/blog/gender-of-twitter-users-i-follow/
Would anyone here be interested in forking and extending that project to work for Mastodon? You'd need experience working with Python and APIs. See my issue here: https://emptysqua.re/blog/gender-of-twitter-users-i-follow/
Twitter *doesn’t* tell you the gender balance of the people *you* follow. But this brilliant person wrote some code to estimate just that. And the good news is I follow only slightly more (estimated) men than women or nonbinary folks. This estimate is also slightly more optimistic about my own followers, placing them at only 75% male, not 80%.
Try for yourself: https://www.proporti.onl
So… that’s one problem. Why so many (estimated) dudes? Urgh. I hope I’m not tweeting all manner of sexist jokes, making women uncomfortable. Or that my profile pic isn’t too predatory in appearance.
In any case…
Hey if you heard the podcast discussion with @jschwabish, you heard me speculate that “maybe” early vis.social members skewed male because “maybe” mostly men followed me on Twitter, and Twitter is the only place where I promoted vis.social, initially.
Um, well, I just learned that Twitter’s analytics estimates your follower gender balance for you, and, er…
I've been meaning to post a vizzy project I'm working on, which looks to see if data can be used to improve a team's performance in this beautiful sport called Ultimate Frisbee.
However I don't think I could share the full report so here is one of the vizzes I've made for it.
Part of this project is to find out if the team has been playing as a mixed team, so the links have been color coded to show the gender of thrower and the receiver!
If anyone has experiences or interest in using data to help team performances I'd love to have a chat!
SciPy dataviz contest Show more
A NumFOCUS email I just received:
"SciPy John Hunter Excellence in Plotting Competition for 2018" aims to highlight the importance of data visualization to scientific progress and showcase the capabilities of open source software. Participants are invited to submit scientific plots. Prizes: 1st, $1000; 2nd, $750; 3rd, $500.
(You need a Google account to submit the form, though :/)
@scott, maybe this is of interest for vis.social :)
also on the podcast, @scott reflects explicitly and at length about trying to get a more diverse group of users on vis.social, community management, etc.
check it out!
I've got the one and only @scott on this week's episode of #ThePolicyVizPodcast. We talk about vis.social and other great stuff! | https://policyviz.com/podcast/episode-123-scott-murray/