Final project for the University of British Columbia's Programming in Python for Data Science course (Jan-Mar 2024)
This Jupyter notebook is my work on the final project for the UBC data science course, Programming in Python for Data Science (PPDS).
The PPDS course itself forms the one prequisite course component for the Key Capabilities in Data Science certificate offered by the Extended Learning department.
Taking reported data from the Disney Corporation for the years 1991-2016 (see licensing and references below), we were to analyse the following 5 files:
- disney-characters.csv
- disney-director.csv
- disney-voice-actors.csv
- disney_movies_total_gross.csv
- disney_revenue_1991-2016.csv
You will need to run a Jupyter server to see the Altair charts included in the attached notebook.
All five of these comprise the Disney Character Success dataset by Kelly Garrett, available at https://data.world/kgarrett/disney-character-success-00-16, and licensed under the CC-BY license only.
All other notebooks, code and files are under the MIT License.