Target group
Visual analysts, report or dashboard designers, business intelligence consultants, business analysts
Course structure
Introduction
- Introduction to graphicacy.
- Introduction to SAS Visual Analytics.
- Introduction to data representation pitfalls.
Common Data Misinterpretations and Paradoxes
- Common data misinterpretations.
- Paradoxes in statistics.
- Spurious correlations.
Common Visual Misrepresentations
- Common data visualization pitfalls.
- Measuring distortion in graphs.
- Reasons for misleading visualizations and consequences.
Common Remedies for Pitfalls in Visualization
- Avoid inappropriate choice of colors.
- Avoid inappropriate choice of graphical objects.
- Avoid overuse of custom or complex graphs.
- Review case study: Tackling visual clutter.
