This repository contains an interactive and insightful dashboard to analyze Amazon Prime video data. The project involved data cleaning, transformation, and visualization to support decision-making for content strategy.
🔹Project Overview
This project explores the Amazon Prime Movies & TV Shows dataset using Power BI to uncover trends and insights about the content available on the platform. The dashboard provides a visual summary of titles, genres, directors, and ratings, helping to understand the distribution and evolution of Amazon Prime’s content library.
🔹 Objectives
- Analyze the distribution of movies vs. TV shows.
- Identify trends in content release over the years.
- Explore country-wise content availability.
- Highlight most common genres and ratings.
- Provide an interactive dashboard for quick insights.
🔹 Key Features of Dashboard
- Content Type Breakdown – Movies vs. TV Shows.
- Geographic Insights – Top contributing countries.
- Trend Analysis – Titles added per year and release year.
- Genre Distribution – Popular categories of content.
- Ratings Overview – Audience targeting (G, PG, R, etc.).
🔹 Tools & Skills Used
Power BI – Interactive dashboards & visuals. Data Cleaning – Null handling, date formatting, splitting multiple values (Excel/Power Query). Visualization Techniques – donut,filters,bar/line/stacked charts, map.
🔹 Insights Gained
Movies make up the majority of the Amazon Prime catalog. The US and India are the top content-producing countries. Significant growth in content addition post-2015. Drama, Comedy, and Action dominate as the most common genres. Rating distribution shows a focus on family-friendly and young adult audiences.
🔹 How to Use
Download the .pbix file from this repository.
Open in Power BI Desktop.
Explore the interactive dashboard with available filters.
🔹 Files in this Repo
AmazonPrimeDashboard.pbix → Power BI dashboard file.
README.md → Project documentation.
🔹 Preview
Drillthrough concept:
🔹 Dataset Source
Kaggle – Amazon Prime Movies and TV Shows Dataset
This project demonstrates my ability to transform raw datasets into meaningful insights using Power BI and communicate findings through interactive dashboards.