Movie Data Analysis Using Python, Pandas, and NumPy

Developed a comprehensive movie dataset analysis project using Python, Pandas, and NumPy to extract meaningful insights from film data. The project demonstrates the ability to process, analyze, and visualize structured data effectively.

Key features include:

Exploring and summarizing movie datasets with key statistics (average duration, top-rated movies, genre distribution)

Filtering high-rated movies and identifying trends in ratings and votes

Visualizing data with histograms and scatter plots to reveal patterns and correlations

Utilizing core data analysis skills including data manipulation, aggregation, and visualization

This project showcases strong data analysis, problem-solving, and Python programming skills, making it a practical example of applying analytical techniques to real-world datasets.