Did you ever consider taking an R course? It might be a good complement to the exercises here on R-exercises. Udemy is a platform that currently offers the largest number of R courses (more than 40). Until this Thur (19 january) you can sign up for any course for just $15. This is a huge […]

## Multiple Regression (Part 1)

In the exercises below we cover some material on multiple regression in R. Answers to the exercises are available here. If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a comment on that page. We will be using the dataset state.x77, which […]

## January Update R Course Finder: Shiny, Quantitative Trading, and Much More

A few months ago we launched R Course Finder, an online directory that helps you to find the right R course quickly. With so many R courses available online, we thought it was a good idea to offer a tool that helps people to compare these courses, before they decide where to spend their valuable […]

## Let’s get started with dplyr

The dplyr package by Hadley Wickham is a very useful package that provides “A Grammar of Data Manipulation”. It aims to simplify common data manipulation tasks, and provides “verbs”, i.e. functions that correspond to the most common data manipulation tasks. Have fun playing with dplyr in the exercises below! Answers to the exercises are available […]

## Getting started with Plotly: basic Plots

Plotly is a d3 based graphing library used to produce interactive and high quality graphs in R. In the following exercises, we will look at the basic plots’ syntax and some basic features in the plotly functions. We will use datasets available in base R packages. Refer to the documentation of the plotly packages when […]

## Bonus: Tidy the data up!

We just added this week’s set of bonus exercises! Bonus exercises are weekly exercises sets, available to subscribers to our weekly newsletter. Please sign up using the form on the right, and receive further details by email how to get access to the bonus exercises (and solutions, of course). This week’s bonus exercises focus on […]

## Descriptive Analytics-Part 6: Interactive dashboard ( 2/2)

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”.As this series of exercises comes to an end, the last part is going to be the development of a data product. Not everybody is able to code in R, so it is useful to be able to […]

## Intermediate Tree 2

This is a continuation of the intermediate decision tree exercise. Answers to the exercises are available here. If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a comment on that page. Exercise 1 use the predict() command to make predictions on […]

## Descriptive Analytics-Part 6: Interactive dashboard ( 1/2)

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”.As this series of exercises comes to an end, the last part is going to be the development of a data product. Not everybody is able to code in R, so it is useful to be able to […]

## Working with Shapefiles in R Exercises

R has many powerful libraries to handle spatial data, and the things that R can do with maps can only grow. This exercise tries to demonstrate a few basic functionalities of R while dealing with shapefiles. A shapefile is a simple, nontopological format for storing the geometric location and attribute information of geographic features. Geographic […]