This tutorial outlines the basics concepts in data handling (including tidying) and also in figure generation.
Learning outcomes
- Identify the steps in the research cycle
- Describe selection bias
- Explain a data management plan and storage approach
- Differentiate data cleaning and tidying
- Use the Abela chart to select an appropriate graph
- Recognise the different parts of a figure and legend
- Create basic figures in R or Excel
- Implement data tidying practices in excel
Prerequisites
It is recommended that you have followed the Concepts in Computer Programming and Introduction to R tutorials before starting.
Order of tutorial
Please do the pre-learning quiz, then watch the presentation.
Once finished the tutorial, take the post-learing quiz.
Data Handling and Presentation Pre-tutorial Survey
Presentation
Worksheets
Figures in R
Bar charts using R
Box plots using R
Figures in Excel
Bar charts using Excel
Box plots using Excel
Data tidying in Excel
Example data tidying and figure creation tasks in Excel