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
Check out this recording of a 1-hr session that walks through three hands-on exercise on Lux. To follow along, you can clone this repo to follow along the instructions in the notebooks.
git clone https://github.com/lux-org/lux-binder.git
Option #1: Click on the following link to try out Lux via Binder.
Option #2: Download and install Docker, then run:
cd lux-binder
docker build -t lux -f Dockerfile-Lux .
docker run -p 8890:8890 lux
Visit localhost:8890 in your browser to access the Jupyter notebooks.
Once you have your Jupyter opened, you should see a list of notebooks in the exercise/
directory.
0-Lux-Overview.ipynb
is the demo walkthrough. You can also try out these hands-on 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.
Please fill out this quick survey to help us improve Lux.