Weighted log odds ratios for haunted places in the US

It’s getting to be spooky season and this week’s #TidyTuesday dataset is about haunted locations in the United States. In this screencast, let’s use log odds ratios weighted via empirical Bayes to understand which US states are more likely to have haunted cemeteries and which are more likely to have haunted schools. Check out the code on my blog: juliasilge.com...

[@emredunder9108]

You are the queen of data analysis. Thanks for the video!

[@andreacierno4642]

Seeing the steps you take through your EDA lens helps me get insights for methods I can use when I do my own EDA. Thank you for the content - the topics are fun and easy to stay engaged with.

[@andrewnguyen3312]

Nice video

[@renzo.ruesta]

Thank you very much for the video Julia, a question, I see that a while ago you changed the pipe %>% operator, is it for something special? 🙂

[@JuliaSilge]

It doesn't make much difference either way, but I started using the base R pipe a little while back. You can read more about the differences here: ivelasq.rbind.io/blog/understanding-the-r-pipe/

[@renzo.ruesta]

@@JuliaSilge thank you so much!!!!

[@CaribouDataScience]

Which state has the most haunted place per capita?

[@JuliaSilge]

You can check out Calle Börstell's visualization to see that! fosstodon.org/@[e-mail]/111206312827934640

[@RavinderRam]

Do you have any plan to visit?