Topics
One day course, with four key parts:
Part I - Visualisation: What's the Problem?
- Why is it hard to create good visuals?
- Conversation and language
- Visual perception and cognition
- Truth
- Dataviz Exercises: Basic design
Part II - Essential Tools for the Solution
- Components and attributes
- Scales of measure
- Visual variables
- Chart analysis
- Dataviz Exercises: Meeting objectives
Part III - The Visualisation Process
- Visualisation cycle Mission and quest
- Storytelling and interactivity
- Deconstruction - Olympics Explorer
- Dataviz Exercises: Finding the story
Part IV - Putting it into Practice
- Dataviz Exercises: Innovation
- Whiteboard: Opportunities and challenges
Audience
OR practitioners and analysts who want to understand the fundamental science that lies behind the ‘how' to create great data visualisations, why this matters and how they can use these scientific and visualisation techniques to present their results in more compelling ways and influence the audience more effectively.