Upload your data and get a complete tmdb movie revenue drivers report. Free.
or click to browse · max 3 MB
Running tmdb movie revenue drivers analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileLog-log OLS regression of box office revenue on budget, popularity, and vote metrics, with genre-level ROI and revenue breakdowns across 4803 TMDB films
Use when you have film-level data with budget and revenue to quantify production attribute effects on box office performance
Do not use if you lack budget or revenue data, or if films are not commercially released
Dataset with 9 columns
Minimum 30 rows
4,803 movies with budget, revenue, popularity, vote metrics, genres, and release dates. Log-log regression of revenue on budget + OLS with genre dummies. Heavy missing data in revenue (many zeros).
Log-log scatter plot showing how production budget relates to box office revenue, colored by genre
Horizontal bar chart ranking genres by median box office revenue
OLS regression coefficients showing which predictors most influence log-revenue
Median ROI (revenue/budget ratio) by genre, highlighting which genres offer best return
Top films ranked by total revenue with budget, ROI, and genre columns
Scatter of vote_average vs log-revenue to test if ratings predict commercial success
Average box office revenue by release year showing industry trends over time
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Predict box office revenue from production attributes
Predict box office revenue from production attributes
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — validated R analyses, interactive reports, AI insights, and PDF export.
Try Free — No Credit Card