🎬 IMDB Movie Analysis Project

This project is a data analysis portfolio project where I explored and analyzed IMDB movie data using Python. The dataset contains information about movies, their ratings, revenue, genres, directors, and other attributes.

📂 Project Structure

IMDB-movie-project/
│
├── data/
│ └── IMDB-Movie-Data.csv
│
├── images/
│ ├── Screenshot_1.png
│ ├── Screenshot_2.png
│ ├── Screenshot_3.png
│ └── Screenshot_4.png
│
├── notebook/
│ └── IMDB_movie_project.ipynb
│
└── README.md

🚀 Tech Stack

• Python 🐍
• Jupyter Notebook
• Libraries Used:
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn

📊 Key Steps in the Project

• Data Loading & Cleaning

  • Imported dataset into Pandas DataFrame
  • Checked for missing values, duplicates, and data consistency

• Exploratory Data Analysis (EDA)

  • Summary statistics
  • Genre distribution
  • Correlation between rating, votes, and revenue

• Data Visualization

  • Bar plots, histograms, heatmaps, and scatter plots
  • Insights on movie popularity, genre trends, and revenue patterns

• Key Insights

  • Higher rated movies often generate higher revenue
  • Action and Adventure genres dominate in revenue
  • Directors with consistent high ratings attract more votes
  • Strong correlation between vote count and revenue

📌 How to Run the Project

1. Clone the repository:

   git clone https://github.com/your-username/IMDB-movie-project.git
   cd IMDB-movie-project
   

2. Install required libraries: pip install pandas numpy matplotlib seaborn jupyter

3. Open the notebook: jupyter notebook notebook/IMDB_movie_project.ipynb

🔍 Result & Learning

• Learned how to perform end-to-end EDA on real-world data
• Improved skills in Python, Pandas, and Seaborn visualizations
• Gained insights into movie trends and audience preferences
• This project showcases analytical and visualization skills for data analyst roles

🔍 About Me I am a fresher aspiring for data analyst roles with skills in:

• Python
• SQL
• Excel
• Power BI
• Data Visualization
• Statistical Analysis -Statistical Analysis