Posts by Nicholas Vietto
Station Eleven 2.0
Loved Train Dreams, Edgerton was masterful. That said, it's Hamnet for me by a mile.
this is the way
RIP sonic and knuckles
Collaboration. In my experience, many academic collaborators prefer PowerPoint, so that tends to drive the decision - even though I personally find working in Quarto more relaxing and use it for most of my projects.
I'm happy to announce a new and improved version of my quarto revealjs extension that interfaces with roughnotation
More annotation types, fragment support, works with flourish extension to allow for annotations of code chunks, and reverse animations are all here
github.com/EmilHvitfeld...
#quarto
If Bilbo had Chat GPT
Detroit!!!!!!!!!!!!
For those who come after
A 3x3 grid of different ways to visualise the distribution of a variable, including histograms, density plots, gradient fills, and dots plots. The distribution shown is skewed with some outliers.
We're looking at cars in Qatar for #TidyTuesday this week - "an international and modern version of the now-ancient `mtcars`" data! 📊
➡️ 9 ways to visualise the distribution of a variable
Thanks to @andrew.heiss.phd for curating this week's dataset!
#RStats #DataViz
boooo
Do you teach #rstats? Do your students complain about how lame and old-fashioned dplyr is? Don't worry: I have the solution for you: github.com/hadley/genzp....
genzplyr is dplyr, but bussin fr fr no cap.
#TidyTuesday Week 38 - FIDE
Took what I know about ELO ratings and made a beeswarm 🐝 to compare Masters and players (like me) near the 1000 ELO mark. Also added a reference section to my script to 'cite' what scripts I looked at. Maybe it'll catch on
#Rstats #dataviz
Code github.com/nvietto/Tidy...
The Pac-Man Rule should be adopted at all conferences and meetups - it's so much more welcoming!
Also an excellent use of a pie chart! 📊
I am beyond excited to announce that ggplot2 4.0.0 has just landed on CRAN.
It's not every day we have a new major #ggplot2 release but it is a fitting 18 year birthday present for the package.
Get an overview of the release in this blog post and be on the lookout for more in-depth posts #rstats
so cool
Excited to share my newest quarto revealjs plugin: imagemover
Easily reposition and resize images directly in your quarto revealjs slides for a much smoother slidecrafting experience
github.com/EmilHvitfeld...
#quarto
Screenshot of the linked Quarto website, with input checkboxes to change different conditions for a regression model that predicts economic performance based on US political party, with a reported p-value
I’ve long used FiveThirtyEight’s interactive “Hack Your Way To Scientific Glory” to illustrate the idea of p-hacking when I teach statistics. But ABC/Disney killed the site earlier this month :(
So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/
Here’s a fun extra credit assignment I made that uses R/Posit Cloud for generative art with {aRtsy}. I’ve used it in stats, methods, even crim theory. Students love it. I do a mini art show before the final lecture lol. Feel free to use it!
#academicsky #rstats
nvietto.quarto.pub/extra-credit...
I’ve been using the new gradients and patterns in #rstats and #ggplot2 quite a bit for recent package, so here’s a deep dive! Everything from the basics of using gradients in your plots through to sophisticated visual effects.
jamesgoldie.dev/writing/stac...
Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.
TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
A hex logo for the pixarfilms package. A light blue background inside a black hexagon, with the Pixar desk lamp in the center of the hexagon below the text pixarfilms.
Curator: @jonthegeek.com
@dslc.io welcomes you to week 10 of #TidyTuesday! We're exploring Pixar Films!
📁 https://tidytues.day/2025/2025-03-11
🗞️ erictleung.com/pixarfilms/articles/pixa...
#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
Will start contributing regularaly to #tidytuesday again, once I finish this nightmare dissertation blah.
I'm currently working through a dissertation section that involves describing gradient descent, and Josh Starmer's explanation is by far the clearest I've come across. And I had a great ML teacher, but his explanation is a simple and straightforward, highly recommend.
www.youtube.com/watch?v=sDv4...