Amazon Prime Video User Usage Analysis

Project Overview

This project analyzes user usage patterns on Amazon Prime Video using data visualization tools. My goal was to explore how users interact with the platform and present key insights through an interactive dashboard. I utilized Excel for initial data cleaning and exploration, and Power BI to create an engaging and informative dashboard.

Table of Contents

• Project Overview
• Motivation
• Tools Used
• Data Description
• Dashboard Features
• Key Insights
• Future Work
• Acknowledgments

Tools Used

• Microsoft Excel: Data cleaning, preprocessing, and exploratory analysis.
• Power BI: Dashboard creation and advanced data visualization.

Data Description

The dataset contains anonymized records of Amazon Prime Video users, including:

• User demographics (age, gender, location)
• Viewing history (titles watched, genres, watch time)
• Subscription details

Dashboard Features

The Power BI dashboard provides:

• User demographics breakdown (age groups, gender, region)
• Popular genres and titles analysis
• Viewing time trends (daily, weekly, monthly)
• Subscription patterns
• Interactive filters for deeper exploration

Key Insights

• Identified the most popular content genres among different age groups.

• Observed peak viewing hours and days.

• Analyzed the correlation between subscription plans and user engagement.

  Data sources: Kaggle