The counties-demo repo contains a Jupyter notebook that demonstrates the capabilities of the Bayesian Database Search API. We have loaded the API with a tabular dataset of over 3,000 counties (rows) and about 130 demographic, income, drug use, and political statistics (columns) of each of those counties. And we demonstrate the API with this Jupyter notebook by calling three of the API's endpoints. Further documentation on the API can be found here.
Before you can use this repo, you will need to install Git LFS. If you're on a Mac and have homebrew installed, this should be as simple as brew install git-lfs, followed by git lfs install.
Once you have Git LFS installed, clone this repo, open it in your terminal, and run make extract && make up.
After 2 or 3 minutes of loading, your terminal should log a URL that looks something like this: http://localhost:8888/?token=58b764b34cbc6c9831ac1e4ea21b5ef5619f52448e2561c9
Open a browser and paste in the above URL. You should be taken to a Jupyter notebook, which has a directory called work. Click on that directory, and you should then see two files: demo.ipynb and visualize.py. Click on demo.ipynb and you will be brought to the demo Jupyter notebook, which you can then walk through.