While preparing two new courses for @Posit's #positconf2023 in #Chicago, I've also updated the 2-day #ggplot2 workshop from last year's conf to use the same style 💅
Inspired and made possible by @nrennie, here's a typewriter elevation map of Japan. The characters to indicate increasing elevation are: 地, 低, 中, 高, and 峰.
Say I have a bunch of subway stations. Some of them are connected by more than one subway line. Is there a way of plotting a scale like this with #ggplot2? Stations connected by just one line drawn in that line's colour, stations connected with more than one line, drawn with alternating colours.
In an attempt to improve the accessibility of my #ggplot2, I've written a small #rstats library.
First, some colours are difficult to tell apart for people with various forms of colour blindness. Even some colours from the BBC News palette aren't safe to use together.
#rstats#ggplot2 3.5 will have the theme option "legend.location" which aligns legends to the panel or the plot as a whole.
No more fiddling with x and y values.
A step-by-step guide to creating generative art with plotnine in #Python! 🎨 (Might also be of use to #RStats people interested in the #ggplot2 comparison)
In my head, the last few days have "felt" like Friday. In the midst of all the chaos, I miraculously am still chugging along with...everything I have to do. This week's #rtistry#ggplot2 work is for the "Wavescapes" chapter. In the last week, I've re-learned more about basic trigonometry than I care for. Here are some snapshots of some WIP outputs as I'm still trying to land on an example to go through step-by-step for the beginning of this chapter.
It's a mouthful of code, but sometimes it's worth it to add second axes in standard deviations. Do-able with sec.axis arguments in #ggplot2 in #rstats!
(You can also set defaults with ggplot2::update_geom_defaults(), or use geom_point_style <- purrr::partial(geom_point, color = "orange", size = 2, shape = 21))
Awesome new feature in {patchwork} 1.2.0! You can now "collect" redundant axes the way you could collect identical legends previously! I used to do this manually a LOT so I'm super happy to see it as a feature!
Don't loose the chance for revisting the best parts of making a graph with #ggplot2() in #R.
In this talk I will replicate one of the #DoboisChallenge plate.