Administrative information

• Learner knows the basic chart types and knows when to use them
• Learner can use visualisations to investigate a variables distribution
• Learner can check for dependencies between variables by using visualisation
• Advanced: Learner is able to visualise a high dimensional dataset using PCA and t-sne (see blog, is this what we want?)

This is the second lecture on Exploratory Data Analysis, following Lecture: Exploratory Data Analysis. This lecture focuses on data visualisation as part of the EDA process. Hence is does not cover data visualisation for, for example, story telling and presentations.

Lesson Outline

• Introduction to data visualisation (5 min)
  • goals of data visualisations (EDA, storytelling)

• Which chart to use for which problem (15 min)
  • Chart types and their usage
  • How to pick the right chart
  • Do's and dont's
• Check for (in)dependent variables (10 min)
• Visualising high dimensional data (20 min)
  • PCA
  • t-sne