🎬 NETFLIX_APP

An interactive Netflix Data Analysis Web App built with Python and Streamlit. This project explores the Netflix dataset to provide visual insights, content trends, and searchable analytics for movies and TV shows.

🚀 Features

Data Exploration Search and filter Netflix titles by:

🎥 Type – Movies or TV Shows

🌍 Country

📅 Release Year

📊 Ratings & Duration

Visual Analytics

Yearly trends in movie/TV production

Top countries producing Netflix content

Genre and rating distributions

Most frequent directors/actors

Interactive UI User-friendly interface powered by Streamlit for instant filtering and visualizations.

🛠️ Tech Stack Component Technology Frontend Streamlit Backend Python Data Netflix Movies & TV Shows Dataset Libraries Pandas, Numpy, Matplotlib/Seaborn, Joblib 📂 Project Structure NETFLIX_APP/ │ ├─ app.py # Main Streamlit application ├─ data/ # Netflix dataset (CSV) ├─ requirements.txt # Python dependencies └─ README.md # Project documentation

⚡ Installation & Run

Clone the repository:

git clone https://github.com/sohailiqbal1331/NETFLIX_APP.git cd NETFLIX_APP

Install dependencies:

pip install -r requirements.txt

Run the app:

streamlit run app.py

🌐 Deployment

Easily deploy on: Streamlit Cloud Author: Muhammad Sohail Iqbal

Streamlit Cloud

Heroku / Render / Railway