Data visualization workshop focused on principles of design and perception.
- Place: Amsterdam data science center, February 2022
- Slides
- Example using matplotlib and seaborn here:
- Introduction
- Part 1: Understanding the context
- Part 2: Data visualization theory
- Part 3: Design considerations
- Part 4: Storytelling
- Part 5: Programming
- Efficient and effective to show data —> Reduce cognitive load
- More willing to read your paper
- More likely to understand the data/results
- More willing to accept the results
- More likely to remember them
- Use effective channels and graphical objects
- Use the CRAP (contrast, repetition, alignment, proximity) principles of design
- Contrast: Remove clutter and focus attention
- Tell a story