Movie Analysis Package (STAT 386 Final Project)
Isaac Keenan & Nick Bell
This project analyzes profitability trends in U.S. theatrical films released between 2005 and 2025 using data collected from the TMDB (The Movie Database) API. The project implements a complete data science pipeline including data collection, cleaning, analysis, visualization, documentation, and an interactive Streamlit app.
Project Components
- Data Collection
- Scripts to collect movie IDs and metadata from the TMDB API
- API rate limits respected during collection
- Data Cleaning
- Filters movies to U.S. theatrical releases with valid budget, revenue, and release dates
- Final cleaned dataset contains 3,503 movies
- Filters movies to U.S. theatrical releases with valid budget, revenue, and release dates
- Analysis & Visualization
- Exploratory data analysis and statistical tests
- Visualizations of profit over time, profit by genre, studio performance, and budget–revenue relationships
- Interactive App
- Streamlit app for interactive exploration of the cleaned dataset
- Documentation & Report
- Quarto website hosted via GitHub Pages
- Includes package documentation, tutorial, and final written report
1 maintainer
Metadata
1 maintainer
Release files for 386finalproject 0.1.0
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| Tags | Python 3 |
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