yjunechoe, 8 months ago to random

Between getting/recovering from covid and the start-of-semester madness, I'd totally forgotten to share my pre-recorded #JSM2023 talk recording (which could not be played live due to tech constraints).

So here is "Sublayer Modularity in the Grammar of Graphics"! - https://www.youtube.com/watch?v=613Q0j6Kjm0

Hoping to turn it into a blog post / package vignette soon for the video-averse.

kellybodwin, 9 months ago to python

Materials and info for all talks from our #jsm2023 session yesterday, "Teaching (with) Quarto" 👇

https://mine-cetinkaya-rundel.github.io/teach-with-quarto/

Shoutout to @minecr for putting together a great session (and website!), and to @quarto_pub for basically being the answer to all my #rstats and #python prayers!

srvanderplas, 9 months ago to random

My students are absolutely kicking butt in the #jsm2023 session on testing statistical graphics.

Rachel Rogers presenting her work on measuring jury perception of statistical algorithms.
Emily Robinson talking about testing perception of log scales.

ijlyttle, 9 months ago to random

Very excited to participate on Haley Jeppson’s panel for “Use of Color in Statistical Charts” at #jsm2023! (Sunday 2-4 PM, CC-810)

I’ll use this (in progress) collection of @observablehq notebooks for computing on color:

https://observablehq.com/collection/@ijlyttle/color

Thanks to @zeileis, whose colorspace package in R inspired much of this work:

https://hclwizard.org/r-colorspace

yjunechoe, 9 months ago to random

Feeling a mix of nervous and excited for my first stats conf at #jsm2023 🥺

Please say hi! - I'm presenting my paper "Sub-layer modularity in the Grammar of Graphics" at the Statistical Computing & Graphics student award session

I'll be talking about {ggtrace} (again), this time focusing more on the what/why: "What is sublayer modularity and why should we care (more) about it as users/practitioners of the grammar of graphics?" Of course, still plenty of R and ggplot that I'll nerd out about 😃