ltj

- teaching: https://docs.leontoddjohnson.com/docs/teaching/
- philosophy: https://docs.leontoddjohnson.com/docs/teaching/philosophy/
- courses: https://docs.leontoddjohnson.com/docs/teaching/courses/
- python: https://docs.leontoddjohnson.com/docs/teaching/courses/h501/
- stats: https://docs.leontoddjohnson.com/docs/teaching/courses/h510/
- data vis: https://docs.leontoddjohnson.com/docs/teaching/courses/h517/
- math: https://docs.leontoddjohnson.com/docs/teaching/courses/h611/
- methods: https://docs.leontoddjohnson.com/docs/teaching/methods/
- metacognition: https://docs.leontoddjohnson.com/docs/teaching/methods/metacognition/
- assignments: https://docs.leontoddjohnson.com/docs/teaching/methods/assignments/
- ungrading: https://docs.leontoddjohnson.com/docs/teaching/methods/ungrading/
- coding: https://docs.leontoddjohnson.com/docs/coding/
- moments: https://docs.leontoddjohnson.com/docs/coding/moments/
- movements: https://docs.leontoddjohnson.com/docs/coding/movements/
- swons: https://docs.leontoddjohnson.com/docs/coding/swons/
- tutti: https://docs.leontoddjohnson.com/docs/coding/tutti/


# 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](https://dash.plotly.com/) | 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](https://colab.research.google.com/) | 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](https://public.tableau.com/app) (Public) | Students need experience with this tool, so of course we include it in the curriculum.
[Render](https://render.com/) and GitHub (optional) | For those students with more coding experience, they can publicly host their final interactive data visualization on Render.