🎬 IMDB Movie Analysis with Power BI

This project performs an in-depth analysis of IMDB movie data using Python and visualizes insights using Power BI. The notebook explores data wrangling, feature engineering, and storytelling through interactive dashboards.

📊 Objective

To analyze movie-related metrics such as:

• Duration, budget, and gross revenue
• Director and actor popularity
• Genre distribution and trends
• User and critic reviews

…and to build a compelling, interactive Power BI dashboard based on these insights.

📁 Files Included

• IMDB_Movie_Analysis_With_Power_BI.ipynb – Data cleaning and analysis with Python
• IMDB_Movies_Analysis.pbix – Interactive Power BI dashboard
• Dataset/IMDB_Movies_Dataset.csv – Original dataset
• requirements.txt – Python libraries used

🧠 Insights Highlighted

• Top genres by revenue and rating
• Relationship between budget and gross
• Role of Facebook likes in movie popularity
• Trends in release years and durations

🛠️ Tools & Tech

• Python (Pandas, Matplotlib, Seaborn)
• Power BI for dashboarding
• Jupyter Notebook for EDA
• Data Cleaning & Visualization

▶️ Getting Started

1. Clone this repository
2. Open IMDB_Movie_Analysis_With_Power_BI.ipynb in Jupyter
3. Run the notebook to understand trends
4. Open the .pbix file in Power BI Desktop for interactive visuals

📦 Installation

Install the required Python libraries using:

pip install -r requirements.txt