Intersect Online Training: Data Manipulation and Visualisation in R

Event Name
Intersect Online Training: Data Manipulation and Visualisation in R
11 April 2024
09:30 am - 12:30 pm

Address (Room): Zoom



This course takes place over 2 days. The dates and times are as follows:

  • Day 1: Thursday, April 11 from 9:30 AM to 12:30 PM AEST
  • Day 2: Friday, April 12 from 9:30 AM to 12:30 PM AEST

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation).

We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation.

You'll learn:

  • DataFrame Manipulation using the dplyr package
  • DataFrame Transformation using the tidyr package
  • Using the Grammar of Graphics to convert data into figures using the ggplot2 package
  • Configuring plot elements within ggplot2
  • Exploring different types of plots using ggplot2


Either Learn to Program: R or Learn to Program: R and R for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: R and R for Research courses to ensure that you are familiar with the knowledge needed for this course.

Speakers: Intersect Trainers

Web page:

Name: Jeff Wang

Phone: 0456269623

School / Department: Research Services