Repository for creating the presentation to CLIO-MUSE at 11/3/2026

This is a continuation of the work done in https://github.com/ManolisPapa/Clio.git and help from members from other teams.

Instructions to run the jupyter file:

1. Create a folder called data.
2. Inside this folder create a folder called raw and a folder called clean.
3. Inside the raw folder create a folder called events_raw and a folder called users_raw
4. Put the events csv data we have from clio inside the events_data folder.
5. Put the users csv data we have from clio inside the users_data folder.
6. Open convert_to_parquet.ipynb, read the instructions at the top to set up the dependencies either using uv or pip
7. Run the convert_to_parquet notebook.

You will now have a events.parquet file inside the clean folder. This will be read much quicker than a csv and cause less memory problems.

Pipeline of work: convert_to_parquet clean_transform user_id_analysis story_order_analysis events_analysis user_journeys_analysis behaviour_analysis user_clustering tour_analysis -- this was also used for creating the visualizations.