R Cheat Sheets

Welcome to our cheat sheet for working with text data in R! This resource is designed for R users who need a quick reference guide for common tasks related to cleaning, processing, and analyzing text data.

Welcome to our cheat sheet for working with dates and times in R! This resource provides a list of common functions and packages for manipulating, analyzing, and visualizing data with dates and times.

ggplot2 is considered to be one of the most robust data visualization packages in any programming language. Use this cheat sheet to guide your ggplot2 learning journey.

Regular expressions (regex or regexp) are a pattern of characters that describe an amount of text. Regular expressions are one of the most widely used tools in natural language processing and allow you to supercharge common text data manipulation tasks.

With this data manipulation with dplyr in the R cheat sheet, you'll have a handy reference guide in your R upskilling journey.

This cheat sheet will cover an overview of getting started with R. Use it as a handy, high-level reference for a quick start with R. For more detailed R Cheat Sheets, follow the highlighted cheat sheets below.

This tidyverse cheat sheet will guide you through the basics of the tidyverse, and 2 of its core packages: dplyr and ggplot2!

Get started on time series in R with this xts cheat sheet, with code examples.

The data.table cheat sheet helps you master the syntax of this R package, and helps you to do data manipulations.

This Jupyter Notebook cheat sheet will help you to find your way around the well-known Notebook App, a subproject of Project Jupyter.