Visually represent your data

data visualisation

Representing your data visually can both serve the purpose of helping data exploration and convey your results to other scientists.

For instance, visual analysis could help you tease out trends in the data and formulate hypotheses that would be then tested statistically.

In this module you will learn how to create various types of figures as well as how to polish these visuals to make them efficient tools to convey your ideas.

Module 3 is made of Task 1 and Task 2. You will find two different kinds of practice in the tasks. The first are formative quizzes, while the second are steps of the activity which enables you to practice the code on a sample data representative of the data you will use in your professional activity.

The activity (STEPS) runs throughout the course using the same data. These steps are the practice that you are required to do on your own machine to insure you are able to apply the code to your own data later on in your professional activity. These steps are easily recognizable as they have a blue background color.

The quizzes embedded in the course do not use the same data as the activity. They are right or wrong quizzes or multiple choice questions to highlight important code sequences. They have an orange background color. 

You will also find theoretical information which has a beige background color.
Last modified: Friday, 11 December 2020, 11:27 AM