The goal of this analysis is to inform a mock production company on what strategy to adopt when making a new movie. We looked at box office data of successful movies in the past 10 years to identify trends to guide our recommendations.
Addressed missing data in a public movie dataset by collecting and preparing 2,000+ The Movies Database records with Python (Pandas) to support teammates' analyses.
Analyzed profitability trends across film genres, using Excel's pivot tables and Tableau's scatterplots to uncover relationships between budget, revenue, and ROI.
Presented on optimal genres for varying budget levels, projecting an ROI increase of 40% for low-budget films and 20% for high-budget films.
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