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Movies, their review and success factors 🎥

Table of Contents

Introduction

  • This project explores the relationship between various movie attributes and their outcomes in terms of revenue, popularity, and user ratings. By leveraging a comprehensive movie dataset, we aim to uncover valuable insights that can inform future movie production and marketing strategies.

Problem Statement

  • How can various factors affect the success and the review of movies ?

Hypotheses and their Visualisation

  • Optimal Movie Runtime and Success Metrics

    • Check if there is an optimal movie runtime that correlates with higher popularity and revenue

    Data Visualization

    Data Visualization

    Small insight about the running time (in minutes) of the films in the database (min, max and avg)

  • Revenue Difference Between Action and War Genres

    • Since those 2 filmes genres have sometimes similar stories they might have the same revenue or similar

    Data Visualization

  • Impact of Budget on User Ratings

    • Movies with higher budgets tend to receive higher average ratings from users.

    Data Visualization

Data Source

Kaban and Presentation

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