A data-exploration project using the The Movie Database (TMDB) dataset to uncover what defines a blockbuster movie. The analysis examines how budget, revenue, popularity, and critical-acclaim interact to determine success.
- TMDB_movies.ipynb β Jupyter Notebook containing:
- Data cleaning and preparation
- Exploratory data analysis and visualizations
- Correlation analysis between financial and popularity metrics
- Insights into what separates blockbusters from under-performers
βTo uncover what truly defines a blockbuster movie β exploring the relationship between budget, revenue, popularity, and critical acclaim.β
- Python, Pandas, NumPy
- Matplotlib, Seaborn
- Jupyter Notebook
- Conducted a full EDA workflow using Python.
- Used visual analytics to reveal key drivers of movie success.
- Combined data storytelling with quantitative insight.