Lectures

You can download the lectures here. We will try to upload lectures prior to their corresponding classes.

• 

  Introduction
  tl;dr: Introduction and basic plots.
  [slides]
  

  Exercises:

  • R Refresher
  • R Refresher solutions
  • Day 1 exercises
  • Day 1 solutions
• 

  Principles and guidelines
  tl;dr: Principles and best practices for 'graphical excellence'.
  [slides]
  
• 

  Good and bad data visualisation
  tl;dr: Discussing some good (and bad) plots.
  [slides]
  
• 

  Posters
  tl;dr: Poster design / adjusting plots for posters vs. papers
  [slides]
  
• 

  Maps
  tl;dr: Visualisation of geographical data
  [slides]
  

  Exercises:

  • Day 2 exercises
  • Day 2 solutions
• 

  Dimensionality reduction
  tl;dr: Dimensionality reduction and data visualisation: advantages and pitfalls
  [slides]
  

  Exercises:

  • Day 3 exercises - dimensionality reduction
  • Day 3 solutions - dimensionality reduction
• 

  Networks
  tl;dr: Visualising network data
  [slides]
  

  Exercises:

  • Day 3 exercises - networks
  • Day 3 solutions - networks
• 

  Interactive visualisation
  tl;dr: Interactive plots with plotly
  [slides]
  

  Exercises:

  • Day 4 exercises
  • Day 4 solutions

  Feedback form:

  • Form