This repository contains a collection of notebooks on how to use Lux.
- demo/: Demo notebooks with an overview of how lux can be used with different datasets
- exercise/: Hands-on excercise introducing key features of Lux with a data playground
- tutorial/: Complete tutorial series introducing basic to advanced features in Lux
You can clone this repo to follow along the instructions in the notebooks.
git clone https://github.com/lux-org/lux-binder.gitDownload and install Docker
cd lux-binder
docker build -t lux -f Dockerfile-Lux .
docker run -p 8888:8888 luxVisit localhost:8888 in your browser to access the Jupyter notebooks.
If you are having issues with the Docker installation, please click on the following link to try out Lux via Binder.
Once you have your Jupyter notebook opened, navigate to the exercise/ directory.
0-Lux-Overview.ipynb is what we just went through in the demo walkthrough.
Please follow the notebook exercises:
1-Specify-Intent: Learn how to specify your analysis intent in Lux to steer the recommended visualizations.2-Quick-Vis: Learn how to quickly create visualization or collections of visualization in Lux.3-Exporting-Widget: Learn how to export a visualization of interest into code.4-Data-Playground: Explore different dataset using Lux.
At the end of the session, please fill out this quick survey to help us improve Lux.