Data Visualization (1915441)
Course syllabus (PDF)
Lecture notes*
Week 1: Introduction to Data Visualization
Week 2: Data Visualization Essentials
Week 3: Quantity Visualization
Week 4: Dispersion Visualization
Week 5: Relative Representation
Week 6: Multivariate Visualization
Week 7: Time Series Visualization
Week 8: Patterns and Trends Visualization
Week 9: Geospatial Data Visualization
Week 10: Uncertainty Visualization
Week 11: Proportional Representation
Week 12: Handling Overlapping
Week 13: Precision in Data Visualization
Week 14: Best Practices in Data Visualization
Week 15: Course wrap-up and project presentations
Quiz #1, 2 & midterm results, click here. (NEW)
*Textbook: Principles of Data Visualization by Claus Wilke, 2019.
Coding Book: Data Visualization with R by Claudia Engel, 2019.
Programming environment: R and RStudio (with R packages for Data Science).