Tidyverse Cheat Sheet For Beginners

[This article was first published on DataCamp Community - r programming, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The tidyverse is a powerful collection of R packages that you can use for data science. They are designed to help you to transform and visualize data. All packages within this collection share an underlying philosophy and common APIs.

As you might know, DataCamp recently launched the Introduction to the Tidyverse course together with David Robinson, Data Scientist at Stack Overflow.

Now, DataCamp has created a tidyverse cheat sheet for beginners that have already taken the course and that still want a handy one-page reference or for those who need an extra push to get started on discovering this popular collection of packages. You must have already run into packages such as ggplot2 and dplyr, so this cheat sheet will definitely come in handy!

It’s a quick guide through the basics of manipulating and visualizing your data the powerful tools that the tidyverse has to offer in R!

The tidyverse cheat sheet will guide you through some general information on the tidyverse, and then covers topics such as useful functions, loading in your data, manipulating it with dplyr and lastly, visualize it with ggplot2.

In short, everything that you need to kickstart your data science learning with R!

Do you want to learn more? Also check out and star the Exploratory Data Analysis in R: Case Study course, also taught by David Robinson, for free now!

Also, don’t miss out on our data.table cheat sheet for data manipulation in R and our other cheat sheets for data science.

(Click above to download a printable version or read the online version below).

To leave a comment for the author, please follow the link and comment on their blog: DataCamp Community - r programming.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)