Data and Results Visualization (Data Analytics and Decision Sciences PhD Course, Politecnico di Milano, May - June 2019)
In this repository you can find the materials (slides, examples, data) used for the Data and Results Visualization course.
- Course Information
- Part 1: Introduction, and Design Framework
- Part 2: Visualization Tools, Marks and Channels and Guidelines
- Part 3: Tables, Spatial data, Networks and Trees
- Part 4: Interactive Visualisation, Dashboards, Dealing with Complexity, and Validation
- Introduction to Pandas
- Introduction to Matplotlib
- Introduction to Seaborn
- Visualizing tables: Iris dataset
- Visualizing tables: Titanic dataset
- Visualizing spatial data: examples
- Visualizing networks: Les Miserable
- Examples of interactive visualisation with Bokeh
- Dealing with complexity: Motor Trend Car Road Tests
- Visualization Analysis and Design
- The Visual Display of Quantitative Information
- Information Visualization: Perception for Design
- Show me the numbers