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
|12 Mar||Data scientist toolbox 2: Pandas and Python visualization||Jupyter Notebook
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (Wes McKinney)
- Interactive Data Visualization for the Web: An Introduction to Designing with D3 (Scott Murray)
And a lot of amazing visualization examples and datasets!
And thanks to Prof. Huamin Qu teaching this amazing course!