Welcome to the tutorial of COMP 4462 Data Visualization! You can find the materials used in the tutorial sessions here.
While the lectures are focused on the principles of data visualization, the tutorials will focus on how to use the tools built by data visualization practitioners.
Besides these materials, you can find the course materials on Canvas.
| Date | Topic | Materials | Link to Tools |
|---|---|---|---|
| 12 Feb | Introduction to visualization tools and warm-up with MS Excel visualization | Slides | |
| 19 Feb | Visualization with Tableau and data processing | Slides | Download and install Tableau: Student (Full version, require student verification) Public (Free version with limitations) |
| 26 Feb | Where to find visualizations and interesting datasets? | Slides | |
| 5 Mar | Data scientist toolbox 1: Python, Jupyter Notebook and Pandas | Jupyter Notebook Slides |
Google Colab |
| 12 Mar | Data scientist toolbox 2: Pandas and Python visualization | Jupyter Notebook Slides |
|
| 19 Mar | Visualization with Javascript 1: Javascript basics and Observable | Observable Notebook Slides |
Observable |
| 26 Mar | Visualization with Javascript 2: Vega-Lite and data processing library | Observable Notebook Slides |
|
| 2 Apr | Visualization with Javascript 3: Visualization with D3.js | Observable Notebook Slides |
|
| 9 Apr | Visualization with Javascript 4: Visualization and interaction with D3.js | Observable Notebook Slides |
And a lot of amazing visualization examples and datasets!
These materials are created by Leo Yu Ho Lo and Ming Yao.
And thanks to Prof. Huamin Qu teaching this amazing course!