TidyTuesday Week 20: a dataset from The Nobel Foundation (via Kaggle), containing data about Nobel Prize winners. This time I decided to use tidytext, and considering the motivations, I plotted most-used words, most-used parts of speech (by means of the “parts of speech” included dataframe) and sentiment (thanks to “sentiments” dataframe).
I was literally shocked by the tidytext’s ease of use: do you want to remove stop words? Just an anti-join. POS tagging? No problem: inner-join and you did it. I definitely want to dig deeper…
ACHIEVEMENTS
- Use of tidytext, as I said;
- Patchwork is a great tool if you want to “assemble” graphs;
- For the first time, I took advantage of geom_text() to add values on top of the columns.
ISSUES
- I want to learn more about plot_annotation in patchwork.
Here my Twitter post:
Photo by Raphael Schaller on Unsplash
Alessandro Puglisi 