This repository showcases an interactive dashboard developed using Microsoft Power BI for analyzing the Amazon Prime Video content catalog. The goal is to transform raw streaming data into actionable insights, focusing on content types, distribution, release trends, and longevity of titles on the platform.
The live, interactive dashboard can be viewed directly via the embedded web page:
➡️ [View Live Dashboard Here] (index.html) ⬅️
The dashboard is designed to provide comprehensive visibility into the Prime Video content library, covering:
Content Type Breakdown: Analysis of the ratio of Movies vs. TV Shows, and their respective performance metrics.
Release Year Trends: Visualization of content acquisition volume over time, highlighting key growth periods.
Regional Distribution: Breakdown of where content originates (country analysis) and which ratings are most prevalent.
Content Lifetime Metrics: Insights into TV show seasons and movie durations.
This analysis uses a detailed dataset sourced from Amazon Prime Video content listings.
Source File: Untitled spreadsheet.xlsx - Sheet1.csv (Contains detailed show IDs, titles, types, cast, release dates, and descriptions).
Power BI File: AMAZON_DASHBOARD.pbix (The complete report file, including data model, DAX measures, and visualizations).
Data Analysis & Visualization: Microsoft Power BI Desktop
Live Embedding: GitHub Pages hosting a simple <iframe> embed (see index.html)
The repository contains the necessary files to understand and run the project:
├── index.html # Web page hosting the live embedded dashboard
├── AMAZON_DASHBOARD.pbix # The complete Power BI Report File
├── Untitled spreadsheet.xlsx - # The raw dataset used for the analysis
└── README.md # This file
To interact with the full dashboard features, including custom filters and hidden pages:
Install Power BI Desktop.
Download or clone this repository.
Open the file named AMAZON_DASHBOARD.pbix with Power BI Desktop.