https://github.com/aditishenoy35/netflix_analysis

An interactive data visualization project exploring Netflix content using Python and Jupyter Notebook.
https://github.com/aditishenoy35/netflix_analysis

data-visualization jupyter-notebook python

Last synced: 28 days ago
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An interactive data visualization project exploring Netflix content using Python and Jupyter Notebook.

• Host: GitHub
• URL: https://github.com/aditishenoy35/netflix_analysis
• Owner: aditishenoy35
• Created: 2024-11-05T16:18:38.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-11-05T17:18:52.000Z (4 months ago)
• Last Synced: 2025-01-24T02:15:29.718Z (28 days ago)
• Topics: data-visualization, jupyter-notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Netflix_Analysis

An interactive data visualization project exploring Netflix content, built with Python and Jupyter Notebook. This project provides insights into Netflix’s catalog by analyzing content trends based on genre, release year, country, and rating.

## Data Source

The dataset used has been cleaned and preprocessed to facilitate accurate and meaningful analysis. The original dataset used for this analysis is available here:

https://www.kaggle.com/code/augusto1982/netflix-movies-and-tv-shows-analysis/input

## Run the Project

A Binder link has been created for this project, allowing anyone to run and interact with the code online without needing to install dependencies. Simply click the link below to get started:

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/aditishenoy35/Netflix_Analysis/master?labpath=NetflixAnalysis.ipynb)