Non-Attended Events - Data Science Guides

Welcome to Non-Attended Events' Data Science documentation. This content is provided as a resource for Data Science teams to help get them up and running quickly.

We provide guides to using our API and data with common Data Science tools and libraries in Python. The articles include a link to Jupyter Notebooks that you can download and run. The guides include code samples and instructions for performing common tasks.

Non-Attended Events are events with a start and end date, but are more fluid in impact, such as observancespublic holidays and school holidays.

This How to Series consist of the following three Jupyter notebooks, allows you to quickly extract the data (Part 1), explore the data (Part 2) and experiment with different aggregations (Part 3):