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@jonthegeek.com Sep 7, 2026, 4:26 PM

@dslc.io welcomes you to week 36 of #TidyTuesday! We're exploring The Cappuccino Index!

📁 https://tidytues.day/2026/2026-09-08
🗞️ https://www.youtube.com/watch?v=WtlE3BW9Nqs

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

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.

Coffee beans.

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