Project Title / Headline:- .Netflix Data Analysis using Python, Pandas & Matplotlib

Short Description / Purpose:- .This project analyzes a Netflix dataset to uncover insights about movies and TV shows using Python. It performs data cleaning, exploratory data analysis (EDA), and visualizes trends such as content type, release years, genres, ratings, countries, durations, and directors through various charts.

Tech Stack:- .Python .Pandas .Matplotlib .CSV Dataset .Data Source .Dataset: netflix_titles_500.csv .Format: CSV .Records: 500 Netflix titles .Contains: Title, Type, Director, Country, Release Year, Rating, Duration, Genre, and more.

Features / Highlights: . Loads and explores the Netflix dataset . Cleans missing values using Pandas . Displays dataset information (shape, columns, data types, missing values) .Compares Movies vs TV Shows . Identifies Top 10 Content-Producing Countries .Analyzes Content Ratings . Visualizes Release Year Trends . Finds Top 10 Genres . Shows Movie Duration Distribution . Creates a Pie Chart for Content Type Distribution . Displays Top 10 Directors . Generates 8 different data visualization charts using Matplotlib