🎬 Movie Data Analysis

This project analyzes large-scale movie data to extract insights on genre distribution, yearly movie production trends, revenue-budget relationships, and country-wise film production. It utilizes Python and various data visualization libraries.

🚀 Project Overview

This analysis includes:
✔ Data Cleaning: Removing missing and unnecessary data, parsing JSON-formatted fields.
✔ Time Series Analysis: Examining trends in movie production over the years.
✔ Genre Distribution Analysis: Visualizing the most popular movie genres.
✔ Revenue-Budget Comparison: Analyzing revenue and budget by genre.
✔ Country-wise Film Production: Visualizing global film production trends.

🛠 Technologies Used

• Python
• Pandas (Data manipulation and analysis)
• NumPy (Numerical computations)
• Matplotlib & Seaborn (Data visualization)
• Plotly (Geographic data visualization)

📂 Project Structure

📁 movie-data-analysis ┣ 📜 main1.py → Main Python script ┣ 📜 movies_metadata.csv → Dataset containing movie metadata ┗ 📜 README.md → Project documentation

📌 Dataset Source

This project uses the Movies Dataset from Kaggle:
🔗 The Movies Dataset - Kaggle

📊 Sample Visualizations

📌 Movies Produced Over the Years

📌 Revenue Distribution by Genre

📌 Country-wise Film Production

📜 License

This project is released under the MIT License.