Jack Kennedy 🐀 @_jcken@qoto.org

For this week's #TidyTuesday data about haunted places, I looked at the most haunted city in the USA - Los Angeles!

Street map data from OpenStreetMap via {osmdata}

The {creepr} package from @_jcken to make a scary noise when the OSM streetmap data was finished downloading...

Background glow added to points with {ggfx}

Code: https://github.com/nrennie/tidytuesday/tree/main/2023/2023-10-10

#RStats #R4DS #DataViz

Such a lovely week catching up with old friends and making new ones at Royal Statistical Society Conference. A great combination of #statistics, #datascience and #rstats. See you in Brighton? #RSSConf2023 #RSSConf2024

Slides

Making Maps! Workshop
https://github.com/jumpingrivers/rss-making-maps

Taking the stress out of your code mess
https://bit.ly/rss-code-mess

Share your data story
https://statsrhian.github.io/talks/2023/2023-09-04-share-your-data-story/slides.html

Issue 2023-W37 of @rweekly is out now! https://rweekly.org/2023-W37.html

This week's highlights:

Preloading your R packages in webR in an Express JS API by Colin Fay

A guide to annotating equations in quarto documents by @lwpembleton

Using Stan to analyse global UFO sighting reports by @_jcken

Thanks to all contributors - keep sending your submissions via RSS feed and/or pull request https://github.com/rweekly/rweekly.org/compare

Here's an example of #ggblend with #ggdist: ggdist can create gradient lineribbons using color ramps, but can have problems when they overlap

ggblend can partition a geometry and blend those partitions: e.g. using "multiply" to blend overlapping lineribbons together

#Day8 of #30DayChartChallenge (distribution/human) : How do you map the distribution of human population? #gischat

to #Rstats code for the 6 maps : https://github.com/BjnNowak/TidyTuesday/blob/main/SC_HumanPop.R