Jess Graves

The Box-Cox power exponential distribution – Notes from a data witch This is so obviously a prequel post to something else that I want to write about GAMLSS models

I regret to inform you that she has, yet again, written more words than are necessary on a topic you don't care about

Damn, after 2000 peliCANS really became peliCANTS

😈

Similarly, my most popular post to date is when I circulated someone's funny python tariff package lol bsky.app/profile/jess...

I guess you gotta give the people what they want -- MEMES

lol, aggressive but correct accusation 😭😅

Wishing you all a 𝘴𝘮𝘰𝘰𝘵𝘩 ride into the weekend 😎
rafalab.dfci.harvard.edu/dsbook/smoot...
#rstats #stats

Humans vs Ants attempting the “PIANO MOVERS PROBLEMS”

Prof. Ofer Feinerman and his team at the Weizmann Institute of Science made this evolutionary competition that asks the question: Who will be better at maneuvering a large load through a maze?

Eye opening read on how tech companies view us as renters and not buyers.

Rarely try to publish them, or journals rarely accept them?

If this happened to me. Sheeeesh. Joy maxed out. Time to pack it up, friends. Couldn’t get better.

Yann Holtz Measels cases graph Source: https://r-graph-gallery.com/vaccination-heatmap.html

Data Brewer Infectuous Diseases Heat Map Source: https://www.databrewer.co/R/gallery/ggplot2-heatmap-vaccine-for-8-diseases

There‘s tutorials for this! 😃
#dataviz #ggplot2

www.databrewer.co/R/gallery/gg...

r-graph-gallery.com/vaccination-...

Warming stripes by Ed Hawkins Source: https://en.wikipedia.org/wiki/Warming_stripes?wprov=sfti1#

Climate spiral by Ed Hawkins Source: https://en.wikipedia.org/wiki/Climate_spiral?wprov=sfti1#Critical_response

Hey #rstats, #pydata, #julialang & #dataviz folks! 😊

What are some iconic data visualizations, similar to @edhawkins.org‘s warming strips & climate spiral?

📌

📌

a plot showing overlaps in descriptions of colors (purple, pink, blue, brown and green) from the xkcd color survey

#tidytuesday about colors from the xkcd color survey!

Colors are always fun to work with. I looked at overlaps in descriptions of colors given by participants of the survey.

code: github.com/mic-wypych/t...

#rstats #dataviz #ggplot2

I’ve used notion through work (so an enterprise version, so I dk if that matters) but I love notion! I love how easy it is to link between files, search & get customized layouts.

Critique I’ve heard: notion is for people who like organizing as a way to procrastinate.

Which I have done and do lol

I can only imagine how "FUN" was to clean this #TidyTuesday dataset.

This is my plot for the week.

#R4ds #dataviz #ggplot2

a cat is standing on its hind legs on the beach with the words `` come at me bro '' . ALT: a cat is standing on its hind legs on the beach with the words `` come at me bro '' .

Gonna save this so I can revisit it whenever I need to inject some adrenaline into my system

Making Pretty PDFs with Typst (and Quarto) | Nicola Rennie With the latest 1.4 release of Quarto, it's now possible to create PDF documents with Quarto using Typst. How does it compare to LaTeX, and is it actually easier to learn and use?

Hey #RStats #PyData #JuliaLang humans! 😃

Is it worth switching from LaTeX to @typst.app in @quarto.org documents? 🤔

Here's a blog post by @nrennie.bsky.social
nrennie.rbind.io/blog/pdf-qua... and a guide for LaTeX users typst.app/docs/guides/...

#Typst #LaTeX

*chef-kiss*

so many times I've banged my head against my desk going "omg, nooo, not on all the facets!!!!!!"

Bivariate choropleth map of Africa showing measles incidence rates and laboratory confirmation rates by country in 2024. Countries are colored using a blue-to-purple matrix where blue indicates low incidence with high lab confirmation (like Botswana), red indicates high incidence with low lab confirmation (like Liberia), and purple indicates high incidence with high lab confirmation (like Somalia). The map shows significant variation in both disease burden and diagnostic capacity across African countries, with 89,765 total measles cases reported.

#TidyTuesday week 25
📊 Exploring #measles incidence and laboratory confirmation rates in Africa (2024).
Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2

really nice work!

🙏 oh no worries, thank you for even taking a look!

ah! I don't visit hacker news often, but I should! Looking at it now I def see the resemblance 🧡

uhoh, I don't know this reference -- what does hn mean?? haha 🙃

This was also a fun opportunity to tinker around with using a brand.yml.

Better late than never — here’s my #TidyTuesday submission from last week's data!

I built a #shiny app with #plotly to explore the @xkcd.com color survey results in both 🌈 RGB and HSV space🌈.

🖥️ App: jessgraves.shinyapps.io/xkcd-color-s...
🌐 Personal site: jesslgraves.github.io/apps/2025-07...

Out of balance A perspective on covariate adjustment in randomized controlled trials in medicine.

An excellent old post I just discovered by @statsepi.bsky.social on the commonly held misconception that randomization is meant to “balance” factors.

(My schooling 100% propagated this myth & taught us to always test baseline factors across groups & if p<0.05 then treat as confounding! 😬💀🤡)

One simple trick that statisticians hate If you don't like the results, just ignore the control group

One year on, it's probably time to check to see how the study i critique here has been cited. (ICYMI)

statsepi.substack.com/p/one-simple...