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Close 10th Mar
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@mikejthompson@Cantabular1 and making the opacity of the coloured legend rectangles equal to the opacity of the choropleth layer. I'd tend to avoid changing the map colour on hover too (although I'm not sure if that matters).
@mikejthompson@Cantabular1 This is amazing! Apart from that, my only tiny piece of feedback is that it might be helpful to match the legend colours to the map precisely. I usually do this by putting a little grey rectangle behind each legend rectangle that matches the main background colour of the map,
I've been working on an exploratory interactive of the Northern Ireland 2021 census results, built on top of our product @Cantabular1:
https://t.co/78PUMIlLbJ
Oklahoma plans to kill Richard Glossip on May 18. The state's own attorney general has said that this would be a "grave injustice," but other people in Oklahoma are determined to go ahead and kill him. Sound crazy? Keep reading; it gets crazier.
🎉 It's finally out: My guide on how to create a fixed color palette for #dataviz in organizations! I’ve never worked longer on and interviewed more people for an article: https://t.co/zRxTjxVhXk
@why0hy Thanks Joe (I think your tweet was a net complement? :-) ) I’m a webdev newbie in a lot of ways. If you have time, can you suggest an easy alternative? Should I just stop worrying about the prettiness of fonts?
@MelanieConroy1@YunxinLi2@jgob I really like this use of a beeswarm (with time on the x axis). Would you be willing to share the data so I can have a go at creating a version with this alternative layout algorithm? https://t.co/853h71WFGE (the one downside I see of the RAWgraphs swarm is imprecise x values)
A quick thread on some beeswarm-plot layout generators I've been working on. The goals of these are to be fast, compact, and represent the data exactly (so no force-directed layout etc.) cc beeswarm aficionados @flowingdata and @NinadB_06
In R, the latest version of the beeswarm package (0.4.0) supports compact beeswarms. Use method="compactswarm". It should also work with ggbeeswarm. https://t.co/qEEh0Yk2Ry