/projects
Movie Data Analysis: Correlation with Gross Revenue
Exploratory data analysis of a movie dataset (from Kaggle) to identify which features correlate most with gross revenue. Includes cleaning, feature selection, correlation matrices, and visualizations using Seaborn and Matplotlib.
Highlights
- Data cleaning: missing values, duplicates, and format standardization
- Feature selection: budget, runtime, genre, director, cast
- Correlation analysis with heatmaps and scatter plots to identify drivers of gross revenue
- Visualizations with Seaborn and Matplotlib; reproducible notebook workflow
Technologies
PythonpandasNumPySeabornMatplotlibJupyter Notebook