This project provides an interactive data visualization of Netflix content using Power BI. The analysis is based on the Netflix Titles dataset from Kaggle, which includes movies and TV shows available on Netflix as of 2021.
The Power BI dashboard provides insights into:
- Total Titles: 8802
- Time Coverage: From 1925 to 2021
- Ratings & Genres: Breakdown of top genres and viewer ratings
- Content Type: Proportion of Movies vs TV Shows
- Top Countries: Countries with the highest number of titles
- Trends Over Time: Titles added to Netflix by release year
- Source: Kaggle - Netflix Titles
- File Used:
netflix_titles.csv
This dataset includes:
- Title names
- Cast and directors
- Country and date added
- Duration and rating
- Type (Movie/TV Show)
- Genre categories
- Built using Power BI Desktop
- Interactive visuals: bar charts, pie charts, treemaps, and time series
- Dark theme with Netflix-style color palette
- Scrollable legends and dynamically filtered data
- The U.S. leads in content volume, followed by India and Japan.
- Most titles are movies (69%), while 31% are TV shows.
- The most common rating is TV-MA, indicating mature audiences.
- Content creation has surged after 2010, especially around 2018–2020.
⚠️ Currently, the report is not published online due to Power BI publishing restrictions. Once "Publish to web" is enabled, a live interactive version will be linked here.
If you want to explore or edit the report:
- Download Power BI Desktop
- Clone this repository
- Open the
.pbixfile included in this repo
Click to expand
- Power BI Desktop
- Microsoft Power Query
- DAX (Data Analysis Expressions)
- Kaggle Dataset
Thanks to Shivam Bansal for the dataset on Kaggle.
Feel free to reach out via GitHub Issues for questions or collaboration ideas.