Jack Kennedy 🐀 @_jcken@social.cleverlibre.org

This week we look at sentiment analysis in 14 African languages. #TidyTuesday

Special thanks to @Shmuhammadd for providing the datasets. Read his paper at https://arxiv.org/pdf/2302.08956.pdf

Code: https://github.com/mvbloois/tidytuesday

#rstats #data #dataviz

It's #TidyTuesday again! Thanks to Shamsuddeen Hassan Muhammad for sharing the data this week on African language sentiments 🌍

I made use of {ggtext} again this week to try some alternative approaches to labelling bar charts! 📊

Code: https://github.com/nrennie/tidytuesday/tree/main/2023/2023-02-28

#RStats #R4DS #DataViz

Suppose, in a #QuartoPub document, using #rStats I have a list of length G, each item in this list is a flextable - I need to use flextable as opposed to kable, to allow for output to docx.
G is unknown apriori, but will be at least 1.

Is there any way to create a sequence of tables with associated labels and captions that could be worked out dynamically/parsed?
Manually, this can be done really easily (creating new labels etc) and knowing when to stop, but is there a way of automating this?

Did you know that the #RoyalStatisticalSociety has awards for excellence in statistical journalism?
You don't need to be UK based to enter.
Categories this year
- Data visualisation
- Explaining the facts
- Investigative journalism (using previously unpublished statistics either through unpublished data that have been sourced and analysed by the journalist or new analyses of existing data)
- Best statistical commentary by a non-journalist

More info and entry criteria
https://rss.org.uk/training-events/events/excellence-awards/journalism-awards/

For the Bob Ross paintings data for #TidyTuesday this week, I went for a cross between data viz and generative art 🎨

I created a sankey chart to visualise the colours used across different seasons of the show! 🖼️🖼️

Code: https://github.com/nrennie/tidytuesday/tree/main/2023/2023-02-21

#R4DS #RStats #GenArtClub

A book we can all get behind.
#git #github

Have recently been playing around with `ggh4x`, which provides some nice drop-in extensibility for ggplot2.

E.g. Tufte-style "floating axes". (Very easy in base plot, but a bit of a pain in vanilla ggplot2.) https://teunbrand.github.io/ggh4x/reference/guide_axis_truncated.html#ref-examples

This week in #TidyTuesday we look at Hollywood Age Gaps!

Code: https://github.com/mvbloois/tidytuesday

#R4DS #RStats #DataViz #DataVisualization

You've heard about Stan and want to learn some more? Maybe you're about to step into the Bayesian paradigm and don't know where to start 🤔

In this week's blog post, we'll take a look what you can do with #Stan and draw comparisons to #JAGS!

https://jumpingrivers.com/blog/why-stan/

#DataScience #RStats #Python #RStan #PyStan #Bayesian

It's time for #TidyTuesday again! Thanks to Evan Gower for sharing the data this week!

We're looking at stock prices of tech companies, and I used geom_sankey_bump() from {ggsankey} to look at the rank of Adobe over time!

Code: https://github.com/nrennie/tidytuesday/tree/main/2023/2023-02-07

#RStats #DataViz #R4DS

"Can you explain this gap in your resume?"

"Yes, I used LaTeX and couldn't fix that bit"

Pet cats movement range by life stage for this week's #TidyTuesday

code: https://github.com/gkaramanis/tidytuesday/tree/master/2023/2023-week_05

#Rstats #dataviz

#TidyTuesday week 5: Cats in the UK 🐱

I had The Presidents in my head the whole time making this.

🔗 https://github.com/doehm/tidytues
#Rstats #dataviz #r4ds #ggplot2