This repository contains a data processing and exploratory analysis project for COMP20008 Elements of Data Processing.
The project analyzes film-related datasets, including movie metadata and credit information. It explores patterns in movie descriptions, IMDb ratings, votes, genres, directors, actors, film length, and age distribution.
- Word frequency analysis on film descriptions
- Average IMDb votes by content type
- Top directors and actors
- Age distribution analysis
- IMDb score distribution
- Film length distribution
- Average IMDb score by genre
- Regression modeling with cross-validation and mean squared error evaluation
The project uses CSV datasets provided for the assignment, including:
credits.csvtitles.csv
Derived intermediate files are also included for analysis workflows.
This repository is kept as a coursework and data analysis portfolio project. Personal student identifiers and contact details have been removed from the public README.