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First iteration of final project for Stats 386

Project description

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
  • 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

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