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Movie Success Prediction
This data analysis explores the key factors influencing movie success using the ggplot2movies dataset of 58,788 films. Through comprehensive statistical analysis and interactive visualizations, we answer some industry questions: (1) Which genres consistently achieve higher ratings? (2) Does budget correlate with better ratings? (3) How have ratings evolved over time? (4) Do genre combinations outperform single genres? The presentation includes an interactive Shiny app for exploring genre combinations demonstrating predictive limitations. This is perfect for filmmakers, investors, and data enthusiasts interested in the cinema business.
DSCI 326 activity 3.1
Homework for activity 3.1 DSCI 326
Relatório - Leonardo Cavalcanti
Relatório CPAD