https://github.com/rajeev2806/netflix-data-analysis

In this project i have implemented ETL . I used netflix dataset to clean and analyze using postgresql and python
https://github.com/rajeev2806/netflix-data-analysis

data-analysis data-cleaning postgresql python

Last synced: 2 months ago
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In this project i have implemented ETL . I used netflix dataset to clean and analyze using postgresql and python

• Host: GitHub
• URL: https://github.com/rajeev2806/netflix-data-analysis
• Owner: rajeev2806
• Created: 2025-07-10T13:09:15.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2025-07-10T13:35:13.000Z (12 months ago)
• Last Synced: 2025-07-10T20:34:29.738Z (12 months ago)
• Topics: data-analysis, data-cleaning, postgresql, python
• Language: Python
• Homepage:
• Size: 1.31 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 🎬 Netflix Data Analysis — ETL Project

This project performs **ETL (Extract, Transform, Load)** operations on a Netflix dataset using **PostgreSQL** and **Python (Pandas, SQLAlchemy)** to explore trends in content types, genres, and creators. It’s designed to demonstrate how raw data can be cleaned, structured, and analyzed end-to-end.

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## 🚀 Project Overview

- 📦 **Extract**: Loaded the Netflix dataset (`netflix_titles.csv`) using Python

- 🧹 **Transform**: Cleaned, formatted, and structured the data using Pandas

- 🗃️ **Load**: Inserted the cleaned data into a PostgreSQL database

- 📊 **Analyze**: Queried data using SQL for insights on content, directors, and genres