Netflix Data Analysis

A comprehensive data analysis project exploring Netflix titles, content trends, and patterns using Python and Jupyter Notebook.

📋 Project Overview

This project analyzes Netflix's catalog of titles to uncover insights about:

• Content distribution (Movies vs TV Shows)
• Geographic availability and production countries
• Release year trends and content growth over time
• Ratings distribution and content classifications
• Missing data and data quality assessment

📁 Files

• netflix_titles.csv - Dataset containing Netflix titles with metadata
• netflix-data-analysis.ipynb - Main Jupyter Notebook with complete analysis and visualizations

🔧 Requirements

• Python 3.x
• pandas
• numpy
• matplotlib

Install dependencies using:

pip install pandas numpy matplotlib

📊 Analysis Sections

1. Data Import and Exploration

• Load Netflix dataset from CSV
• Display dataset dimensions and structure
• Preview head, tail, and random samples
• Examine data types and basic statistics

2. Data Quality Assessment

• Check for missing values and their percentages
• Detect duplicate records
• Validate unique identifiers
• Analyze data completeness

3. Content Analysis

• Type distribution (Movies vs TV Shows)
• Country of origin analysis
• Rating classification breakdown
• Release year distribution and trends

4. Data Relationships

• Cross-tabulation of content types and ratings
• Relationships between different attributes
• Temporal trends in content production

5. Visualizations

• Distribution charts and graphs
• Trend analysis across years
• Comparative visualizations of content types
• Geographic and rating analysis

🚀 Usage

1. Open the notebook in Jupyter:

jupyter notebook netflix-data-analysis.ipynb

2. Run cells sequentially to reproduce the analysis

3. Modify parameters and create custom analyses as needed

📈 Key Insights

The analysis provides:

• Content composition of Netflix library
• Historical trends in content acquisition
• Distribution across geographies and ratings
• Data quality metrics for the dataset

🔍 Dataset Details

The Netflix dataset includes the following columns:

• show_id
• type
• title
• director
• cast
• country
• date_added
• release_year
• rating
• duration
• listed_in
• description

📝 Notes

• Some fields may contain missing values (handled in analysis)
• Data represents Netflix's catalog at a specific point in time
• Analysis focuses on exploratory data analysis (EDA) techniques
• Visualizations help identify patterns and trends in Netflix content

👤 Author

Created as a data analysis project for exploring Netflix titles and trends.

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Last Updated: 2026