data-science

This project was created with Python Language

Available Scripts

In the project directory, you can run:

main.py <user_id>

This script creates a suggested playlist based into playback history in the Rokker-app. The new playlist is saved in the database.

It can be of two types:

1. Playlist for a specific user: main.py <user-sample@mail.com>
2. General Playlist that will be shown to all users: main.py

history_downloader.py <user_id>

This script consults the database and returns a csv file. With the an user playback history or all the playback-history of the application.

1. Playback-history for a specific user: history_downloader.py <user-sample@mail.com>
2. Playback-history for all users: history_downloader.py

You can see the dashboards with Stats about user history playback and app-history:

1. Stats for a user: https://datastudio.google.com/reporting/fd663400-4bc9-4269-b06e-6031b26447a7/page/I1hmB
2. Stats for admin: https://datastudio.google.com/u/0/reporting/20f17f91-4115-40ff-b6e2-becd773dbbb4/page/2cnmB

Virtual Enviroment and Libraries

This project runs about a virtual environment with these libraries:

• pandas: pip install pandas
• requests: pip install requests
• dns: pip install dns
• pymongo: pip install pymongo

More Information

You can know more about this project in:

https://www.notion.so/Rokker-cc1801d5d871494caca6dc79bfe4594d