data visualization design, analysis, and evaluation#
This class is meant to give students practical experience with data visualization tools that they will likely use in future jobs.
[Link to course webpage in progress as IU migrates its online assets to an updated platform.]
tools#
| Tool | Note |
|---|---|
| Plotly / Dash | This is one of the most common interactive data visualization tools for Python, and in my opinion, it offers the best mixture of robustness, flexibility, and (coding) accessibility. |
| Google Colab | In this class, students submit their weekly visualizations in Google Colab. It allows them to render their Dash apps, and it makes it easier for us to evaluate. |
| Tableau (Public) | Students need experience with this tool, so of course we include it in the curriculum. |
| Render and GitHub (optional) | For those students with more coding experience, they can publicly host their final interactive data visualization on Render. |