Data Science
Machine learning & data science for beginners and experts alike.
Who doesn’t love a good cheat sheet? Nobody, that’s who. Cheat sheets are awesome. They are a great reference for functions you need handy, but don’t have memorized by heart (yet). They can also be a fantastic way for learning and reinforcing components of a programming language. Some people like to keep them saved as a bookmark on their web browser. Personally, I like to print them out and hang them up around my monitor, like weird cubicle wallpaper.
With all of that in mind, I present to you an Alteryx – R Cheat Sheet. This cheat sheet includes some Alteryx specific functions for use in the R Tool. Functions like read.Alteryx() and write.Alteryx(), which push data in and out of the R Tool. Hopefully, this will be helpful for both R Tool pros and newbies alike.
The R Community at large (especially R Studio) has created many other cheat sheets that you might find helpful in your R Tool endeavors. Here, I am listing a few of my personal favorites.
| The R Reference Card (Tom Short at EPRI PEAC) has a little bit of everything | ⇨ |
| The ggplot2 cheat sheet (R Studio) for help making the most beautiful plots | ⇨ |
| Data Wrangling with dplyr and tidyr (R Studio) | ⇨ |
| The devtools cheat sheet (R Studio), for when you’re feeling ready to start developing R packages of your own | ⇨ |
| The R Reference Card for Data Mining (Yanchang Zhao, R and Data Mining: Examples and Case Studies) includes a large variety of functions useful for data mining and data science | ⇨ |
With all these cheat sheets in hand, you’re probably ready to take on an R-Tool adventure of your own. If you’re feeling like you want to build out a fully fledged R-Based Macro, I recommend the Creating Your Own R Based Macro Series on the Community.
For a more detailed write up on the functions in this cheat sheet, please see the associated KB article or the R Tool Help Documentation.
