Netflix Data Analysis
This project analyses a dataset of Netflix content to uncover trends and insights. The analysis includes visualising the distribution of content types, durations, genres, and other key metrics. The notebook provides various charts and graphs to help understand the patterns in the data.
If .ipynb file fails to render, you can view it here
Python Libraries Used
- Pandas
- Numpy
- Matplotlib
- Seaborn
Features
- Distribution of Movies and TV Shows
- Distribution of Ratings and yearly trend of ratings over the years
- Top countries for content produced
- Top genres and yearly trend of genre over the years
- Distribution of Movies and TV Shows durations and seasons respectively
- Average duration of Movies and TV Shows over the years
Results
Can be found in my report showcasing my analysis findings
Built With
- jupyter-notebook
