Netflix Movies & TV Shows Analytics

📌 Project Overview

This project is a data-driven web application that provides insights into Netflix movies and TV shows. It allows users to explore and analyze the dataset, visualize trends, and extract meaningful information about content available on Netflix.

🔍 Features

• Search & Filter: Find movies and TV shows based on various criteria.
• Data Visualization: Interactive charts and graphs to analyze trends.
• Statistics: Overview of movie genres, ratings, release years, and more.
• Export Data: Download relevant data for further analysis.

📊 Dataset

The dataset used in this project is sourced from Kaggle: Netflix Movies and TV Shows Dataset

It contains details such as:

• Title, Director, Cast
• Release Year
• Genre
• Ratings
• Country of Production
• Description

🛠️ Technologies Used:

• Streamlit: Web app framework.
• Pandas: Data manipulation.
• Plotly: Interactive visualizations.
• Python: Core programming language.

🚀 Installation

Steps

1. Clone the repository:

   git clone https://github.com/fcolobe/netflix-data-explorer.git
   cd netflix-data-explorer

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Run the app:

   streamlit run app.py

5. Open the app in your browser at http://localhost:8501

📬 Contact

For any inquiries, feel free to reach out.

---

🎬 Enjoy analyzing Netflix data!