TidyTuesday

by Ronan Harrington

As featured on R-bloggers.com | https://tidytuesday.netlify.app/

• About
• Posts
• Graph Gallery
• References

About

This blog provides reproducible examples of data wrangling, visualisation, and analysis in R and is written using distill for R Markdown. Each post uses a #TidyTuesday data set; these data sets are provided by the R for Data Science (R4DS) community. This blog is deployed using netlify and all source files are available on GitHub. External links for each post as well as the R Markdown and R source files are provided in the README file, which also contains a Graph Gallery. Full article content via RSS is now available though the index.xml page.

Posts

Year	Week	Data Set	Blog post	R Markdown source	R source	External links
2022	29	Technology Adoption	Adding continent and country names with {countrycode}, and subsetting a data frame using sample()	technology-adoption.Rmd	technology-adoption.R	@Rbloggers r-bloggers.com
2022	28	European Flights	How to write a function in R and apply it to a data frame using map functions from {purrr}	european-flights.Rmd	european-flights.R	@Rbloggers r-bloggers.com
2022	27	San Francisco Rentals	Reshaping data frames using pivot functions from {tidyr} and tally from {dplyr}	sf-rents.Rmd	sf-rents.R	@Rbloggers r-bloggers.com
2022	3	Chocolate Bar ratings	Text Mining Chocolate Bar Characteristics with {tidytext}	chocolate-bar-ratings.Rmd	chocolate-bar-ratings.R	@Rbloggers r-bloggers.com
2022	2	Bee Colony losses	Plotting Bee Colony Observations and Distributions using {ggbeeswarm} and {geomtextpath}	bee-colony-losses.Rmd	bee-colony-losses.R	@Rbloggers r-bloggers.com
2021	34	Star Trek voice commands	Text mining Star Trek dialogue and classifying characters using machine learning	star-trek-voice-commands.Rmd	star-trek-voice-commands.R	@Rbloggers r-bloggers.com
2021	33	BEA Infrastructure Investment	Adjusting variable distribution and exploring data using mass linear regression	bea-infrastructure-investment.Rmd	bea-infrastructure-investment.R	@Rbloggers r-bloggers.com
2021	18	CEO Departures	Predicting voluntary CEO departures using machine learning	ceo-departures.Rmd	ceo-departures.R	@Rbloggers r-bloggers.com
2021	17	Netflix Titles	Films with MPA ratings on Netflix	netflix-titles.Rmd	netflix-titles.R	@Rbloggers r-bloggers.com
2021	16	US Post Offices	Post offices in the USA from 1772 to 2000	us-post-offices.Rmd	us-post-offices.R	@Rbloggers r-bloggers.com
2021	15	Global Deforestation	Plotting deforestation and its causes	global-deforestation.Rmd	global-deforestation.R	@Rbloggers r-bloggers.com
2021	14	Makeup Shades	Plotting foundations according to shade	makeup-shades.Rmd	makeup-shades.R	@Rbloggers r-bloggers.com
2021	13	UN Votes	UN Votes: Plotting votes on United Nations resolutions	un-votes.Rmd	un-votes.R	@Rbloggers r-bloggers.com
2021	12	Video Games + Sliced	Video Games and Sliced	video-games-and-sliced.Rmd	video-games-and-sliced.R	@Rbloggers r-bloggers.com
2021	11	Bechdel Test	Bechdel Test	bechdel-test.Rmd	bechdel-test.R	@Rbloggers r-bloggers.com

Graph Gallery

R Markdown source	Graph
technology-adoption.Rmd
technology-adoption.Rmd
european-flights.Rmd
sf-rents.Rmd
sf-rents.Rmd
chocolate-bar-ratings.Rmd
chocolate-bar-ratings.Rmd
bee-colony-losses.Rmd
bee-colony-losses.Rmd
bee-colony-losses.Rmd
star-trek-voice-commands.Rmd
star-trek-voice-commands.Rmd
star-trek-voice-commands.Rmd
star-trek-voice-commands.Rmd
star-trek-voice-commands.Rmd
bea-infrastructure-investment.Rmd
ceo-departures.Rmd
ceo-departures.Rmd
netflix-titles.Rmd
netflix-titles.Rmd
netflix-titles.Rmd
us-post-offices.Rmd
us-post-offices.Rmd
global-deforestation.Rmd
global-deforestation.Rmd
makeup-shades.Rmd
makeup-shades.Rmd
makeup-shades.Rmd
un-votes.Rmd
un-votes.Rmd
un-votes.Rmd
un-votes.Rmd
video-games-and-sliced.Rmd
video-games-and-sliced.Rmd
bechdel-test.Rmd
bechdel-test.Rmd
bechdel-test.Rmd

References

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