🎥 Netflix Analysis Dashboard

🚀 Project Overview

This project is an interactive Power BI dashboard designed to analyze Netflix's movie and TV show catalog, covering over 7,000 titles. It includes detailed metrics on average viewer ratings, vote counts, genres, and countries of origin. The goal is to provide a comprehensive and interactive view of Netflix's content performance and distribution across different categories and geographies. The project demonstrates data cleaning, transformation, and visualization skills for entertainment analytics.

🔧 Tech Stack & Features

Visualizations include:

• Bar charts showing title counts by rating groups and genres
• A world map highlighting the geographic distribution of titles
• Tables detailing title metadata, ratings, and votes
• Interactive filters for genre, country, and rating groups
• Display of key performance indicators such as average rating and title counts

📥 Data Workflow

• Data Sourcing: Sourced from structured datasets including title type, ratings, votes, and countries.
• Transformation: Focused on cleaning, handling missing data, and ensuring consistency.
• Dashboard Design: Created with multiple visuals for in-depth content analysis.

📊 Example Insights

• Around 7,000 titles with an average rating of 6.68.
• Geographic concentration of Netflix productions mainly in North America and Europe.
• Identification of popular genres with associated ratings and title counts.
• Comparative analysis of movies vs. TV shows by ratings and votes.

📌 Key Learnings

• ✔️ Building interactive BI dashboards for entertainment data
• ✔️ Integrating geographic data with content metadata for deeper insights
• ✔️ Best practices for data cleaning and visualization in Power BI
• ✔️ Using filters and tooltips to enhance user exploration

⚠️ Important Notes

This analysis uses static dataset snapshots; real-time data updates are recommended for ongoing accuracy.

🌟 Why This Project Matters

This project gives content creators, marketers, and analysts valuable insights into Netflix's content library performance and audience preferences, enabling data-driven decisions in the media industry.

📋 Recommendations

• ✔️ Focus on content genres with higher average ratings to maximize viewer satisfaction.
• ✔️ Monitor production spread geographically to align with audience demand.
• ✔️ Regularly update and enhance datasets for continuous performance tracking.