Useful links

Here we have gathered links relevant to TidyTuesday.

Getting Started

Link	Description
Link	The Data Science Learning Community Website
Link	The R for Data Science textbook
Link	Carbon for sharing beautiful code pics
Link	Post gist to Carbon from RStudio
Link	Post to Carbon from RStudio
Link	Join GitHub!
Link	Basics of GitHub
Link	Learn how to use GitHub with R
Link	Save high-rez `ggplot2` images

Link	Description
Link	Data is Plural collection
Link	BuzzFeedNews GitHub
Link	The Economist GitHub
Link	The `fivethirtyeight` data package
Link	The Upshot by NY Times
Link	The Baltimore Sun Data Desk
Link	The LA Times Data Desk
Link	Open News Labs
Link	BBC Data Journalism team

Only books available freely online are sourced here. Feel free to add to the list

Link	Description
Link	Fundamentals of Data Viz by Claus Wilke
Link	The Art of Data Science by Roger D. Peng & Elizabeth Matsui
Link	Tidy Text Mining by Julia Silge & David Robinson
Link	Geocomputation with R by Robin Lovelace, Jakub Nowosad, Jannes Muenchow
Link	Data Visualization by Kieran Healy
Link	`ggplot2` cookbook by Winston Chang
Link	The Big BOok of R by Oscar Baruffa