README.md

Part 3 Data Visualisation

Last Updated: 12th March 2025

Repository Description

This repository contains the exercise materials for the course. It includes datasets and notebook files designed to help you practice importing, analyzing, and editing data.

Course Description

In this course, you will learn about R, which is a programming language that is commonly used for statistical analysis and data visualisation. We will be looking at:

• How to import datasets
• Getting an overview of a dataset using R commands
• Reordering data
• Dealing with incomplete case(s)

By the end of this course, you will be able to import datasets in various formats, use commands to understand your data better, and edit datasets to handle incorrect ordering or incomplete entries.

Getting Started

1. Access RStudio through Noteable (or any other preferred methods). You may find the RStudio Access and Installaiton Guide helpful for this step.
2. Create a new project space in RStudio by clicking the "Project: (None)" button at the top right corner.
3. In the pop-up box, click New Project -> Version Control -> Git.
4. Copy-n-paste the URL of this repository to the "Repository URL" section.
5. After successfully cloned this repository in RStudio, the required files should appear in the Files window. Double click on a file to view it in the Source window.