Netflix-Data

📊 Netflix Movies & TV Shows — Exploratory Data Analysis (EDA)

📌 Project Overview

This project performs an in-depth Explatory Data Analysis (EDA) on the Netflix Movies & TV Shows dataset to uncover trends, patterns, and insights about content available on Netflix.

The analysis focuses on understanding content distribution, growth trends, genres, and country-wise production.

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🎯 Objectives

• Analyze the distribution of Movies vs TV Shows
• Identify top content-producing countries
• Explore trends in content release over time
• Discover the most popular genres
• Extract meaningful insights using data visualization

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📂 Dataset

• Title
• Type (Movie/TV Show)
• Director
• Country
• Release Year
• Genre
• Date Added

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🛠️ Tools & Technologies

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook

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🔧 Project Workflow

1. Data Cleaning

• Handled missing values
• Converted date formats
• Removed duplicates

2. Data Exploration

• Summary statistics
• Data type inspection
• Value counts and distributions

3. Data Visualization

• Bar charts
• Line plots
• Heatmaps
• Distribution plots

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📈 Key Insights

• 📌 Majority of content on Netflix consists of Movies
• 🌍 The United States produces the highest amount of content
• 📅 Significant growth in content after 2015
• 🎭 Drama and International content are among the most common genres
• 📊 TV Shows have increased steadily in recent years