https://github.com/spring-0/netflix-media-data-analysis
Exploring and analyzing Netflix data to uncover trends through data visualization and statistical analysis.
https://github.com/spring-0/netflix-media-data-analysis
data-analysis netflix
Last synced: about 1 year ago
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Exploring and analyzing Netflix data to uncover trends through data visualization and statistical analysis.
- Host: GitHub
- URL: https://github.com/spring-0/netflix-media-data-analysis
- Owner: Spring-0
- License: mit
- Created: 2024-05-05T22:28:09.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-05-05T23:22:49.000Z (about 2 years ago)
- Last Synced: 2025-02-02T01:17:45.437Z (over 1 year ago)
- Topics: data-analysis, netflix
- Language: Jupyter Notebook
- Homepage:
- Size: 1.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Netflix Media Data Analysis
This project aims to analyze the Netflix media dataset to gain insights into the content available on the platform.
## Description
The project involves exploratory data analysis (EDA) of the Netflix dataset to understand trends, preferences, and characteristics of the content. It includes analyzing attributes such as type (movie/TV show), release year, country, rating, duration, director, cast, and more.
## Getting Started
### Dependencies
* Jupyter Notebook
* Python 3.x
* Pandas
* Matplotlib
### Installing
1. Clone the repository:
`git clone https://github.com/Spring-0/netflix-media-data-analysis.git`
2. Install the required libraries:
`pip install pandas matplotlib`
3. Launch Jupyter Notebook:
`jupyter notebook`
## Authors
* [@Spring-0](https://github.com/Spring-0)
## Version History
* 0.1
* Initial Release
## License
This project is licensed under the MIT License - see the LICENSE.md file for details
## Acknowledgments
* Dataset: [NetflixMoviesAndTVShows](https://www.kaggle.com/datasets/rahulvyasm/netflix-movies-and-tv-shows/data)