## Ready, set, go!

On R-exercises, you will find hundreds of exercises that will help you to learn R. We’ve bundled them into exercise *sets*, where each set covers a specific concept or function. An exercise set typically contains about 10 exercises, progressing from easy to somewhat more difficult. In order to give you a full picture of all the amazing content on this website, we’ve categorized all sets into broader topics below.

If you’re completely new to R, we suggest you simply start with the first topic, “Vectors”. Once you’ve managed to work through all exercise sets, from top to bottom, you should have a fair amount of knowledge of, and practical experience with, using R. Of course, those of you who are familiar with R already, can jump straight to any of the topics below.

New exercise sets are added on a daily basis. Subscribe to R-exercises to receive daily updates by email.

Note: For future updates to the overview below, please have a look here.

Have fun!

## Exercise sets by Topic

**Vectors**

- Vectors
- Regular sequences
- Logical vectors and operators
- Missing Values
- Character vector exercises
- Index vectors

**Object modes and attributes**

**Factors**

**Arrays and matrices**

**Lists and dataframes**

- List exercises
- Data frame exercises
- Merging Dataframes Exercises
- Accessing Dataframe Objects Exercises

**Importing data**

**Tables**

**Data manipulation**

- Get-your-stuff-in-order-exercises
- Summary Statistics With Aggregate()
- Data Shape Transformation With Reshape()

**Dates/times**

**Probability distributions**

**Loops and conditional execution**

**Functions**

**Data visualization**

- Start plotting data!
- Customize a scatterplot exercises
- Graphics parameters exercises
- 3D plotting exercises

**Contributed packages**

- Data Table –
*Data table exercises: keys and subsetting* - Lattice –
*Lattice exercises – part 1* - Lattice –
*Lattice exercises – part 2* - Zoo –
*zoo time series exercises*

**What's next:**

- Explore all our (>1000) R exercises
- Find an R course using our R Course Finder directory
- Subscribe to receive weekly updates and bonus sets by email
- Share with your friends and colleagues using the buttons below

Mike L says

Thanks for this. A small URL typo: 1. Matrix Exercises contains a trailing ” %u200E” resulting in a broken URL. Commencing with my R exercises….

Onno Dijt says

Thanks for pointing it out Mike! I will make sure to edit the link.

Pradeep says

I need to learn R for Data science , is it data visualization in above topics??

And do I need to start from basics of R to study data science R as I’m familiar with other programming languages