R tutorials: Learn R programming for data science | Infinite Tech

Are you studying the R programming language? Do you need to learn to do extra duties with R? Try our Do Extra With R tutorials beneath — many with movies shorter than 10 minutes.

Within the desk beneath, you may simply search all of the tutorials by activity, common matter, and particular R packages.

Out there classes: massive knowledge, collaboration, dataviz, knowledge evaluation, knowledge export, knowledge import, knowledge wrangling, ggplot, GIS, Microsoft, programming, RStudio, and vscode.

Some examples:

ggplot and different R knowledge visualizations

Do you have to make static plots with R? Interactive graphs? Animations? Search beneath for phrases comparable to ggplot, dataviz, and coloration. You may get outcomes comparable to Add coloration to ggplot2 visualization with the ggtext bundle, Methods to create interactive visualizations and linked interactive graphics with ggiraph and Methods to use built-in R colours and exterior palettes

When you’re working with geospatial instruments, there are a number of tutorials on GIS with R together with Astonishingly simple mapping with the mapview bundle.


See tips on how to get extra out of Microsoft Workplace by pairing it with R, together with tips on how to generate PowerPoint slides from R, ship Outlook electronic mail from R, or create Phrase paperwork from R or Python with Quarto.

Information wrangling

Discover ways to merge knowledge in R 3 methods: base R, dplyr, and knowledge.tableand always remember syntax to pivot wider and pivot longer.

When you’re a tidyverse consumer, there’s a lot right here on tidyr and dplyr. And in case you’re on the lookout for new methods to spice up knowledge wrangling and evaluation efficiency, try Intro to the info.desk bundle, the final word R knowledge.desk cheat sheet, and different knowledge.desk tutorials.

There are a lot extra R tutorials within the desk beneath.

Search Do Extra With R by activity, bundle, or class

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R tutorials: Learn R programming for data science