This repository contains an interactive Power BI dashboard that provides comprehensive insights into Amazon Prime Video titles, including movies and TV shows, spanning from the year 1920 to 2021. The dashboard was built using data analytics best practices to visualize key metrics such as genre distribution, ratings, release year trends, content type proportions, and country-wise availability.
- Source: amazon_prime_titles.csv
- Total Titles: 9,655
- Time Period: 1920 to 2021
- Key Columns:
titletype(Movie / TV Show)release_yearratinggenrecountrydirector
The dashboard includes the following visualizations and KPIs:
- Total Titles: 9,655
- Total Ratings: 25 distinct rating categories
- Total Genres: 519 unique combinations
- Total Directors: 5,771 unique directors
- Start Date: 1920
- End Date: 2021
- Shows categorized by rating groups (13+, 16+, 18+, etc.)
- Highest count: 13+ rating with 2.1K shows.
- Top genres include:
- Drama (986)
- Comedy (536)
- Drama, Suspense (399)
- And more...
- TV Shows: 7.81K (80.82%)
- Movies: 1.85K (19.18%)
- Visual representation of where the shows are produced or available.
- Key contributing countries include USA, UK, India, and others.
- Trendline showing exponential growth in content, especially post-2000.
- Spike in recent years.
- Power BI Desktop
- Microsoft Excel (for cleaning and preprocessing)
- Data Source: Custom CSV dataset
📆 Amazon-Prime-Dashboard/
🗃️ amazon_prime_titles.csv # Dataset used for the dashboard
📸 Dashboard.png # Screenshot of the Power BI dashboard
📸 Prime video logo.png # Logo of the Amazon Prime Video
📁 PowerBI_Dashboard.pbix # Power BI report
📄 README.md # This file- Drama and Comedy are the most popular genres on Amazon Prime Video.
- Most titles are suitable for ages 13+ or 16+.
- There is a rapid increase in the number of titles post-2000.
- Majority of content available are TV Shows rather than Movies.
- Clone the repository.
- Open
amazon_prime_titles.csvin Power BI or Excel. - Use the
.pbixfile to view or customize the dashboard further. - Dashboard is also suitable for web publishing via Power BI Service.
For questions or suggestions, feel free to connect via GitHub Issues or Discussions.
⭐️ If you found this helpful, don’t forget to star the repository!