Mostly R developers and users across fields, disciplines, and industries. Plus a few in Linux, Python, JavaScript, and dataviz
A way for the dataviz community to land on Bluesky and create connections by finding accounts that post on this topic. Curated by Francis Gagnon @chezvoila.com Tip: Immediately write a short bio to signal you're posting about viz, so that the 150 people who will see you follow them can follow back.
The Bluesky Python community
Not just software developers. Folks who work in and around building software. You probably followed many of them on the other place
The FT's data and visuals team - visual stories and investigations, graphics and data
A list of pepole and media to follow in the field of AI in journalism. These experts, journalists, researchers, technologists, and media/institutions are shaping the conversation around how artificial intelligence is transforming media and journalism.
Welcome to the FT's starter pack! Press "follow all" to get a taste of the FT's newsroom and be the first to hear from our reporters and editors.
Data reporting. Computational journalism. Visual forensics. News cartography. Social science done on deadline. All the news nerdery.
Looking for insights about what’s happening in the world from calm, sensible/sometimes silly, ‘everyday’ people who are nice to be around. Also looking for fact checked news from pros. I love candidness as opposed to ‘branding’.
People working on / interested in all things UK regional economic policy, at a time when devolution and the new government is super-charging work on all these lovely gnarly geographical/economic/social questions.
I love all kinds of creative expressions, be it arts, music, writing, science, nature ect.
A Bluesky-generated list of followers that Bluesky made in case you like the kind of things I like. So, y'know, it's a good starting spot. Fill yer boots (but don't complain to me; I didn't make the list) x
These are the top 1-149 people in Data, Stats, and ML on Bluesky in November, 2024. I combined 60+ existing starter packs, hand coded them by topic, and then fit a hierarchical random effects model to estimate each person's latent importance.