What You’ll Learn:
Viewer trends → Content demand insights → Data-driven decisions for global content strategy
Netflix has a massive and diverse content library, which makes it difficult to identify key trends and performance metrics at a glance.
Key Business Question:
How can we analyze Netflix's movie and TV show data to uncover viewer preferences, track content trends over time, and support better content planning?
Using Power BI, I developed an interactive and dynamic dashboard that analyzes over 8,700+ Netflix releases across various metrics:
- 📺 Content Types: Movies vs. TV Shows
- 🎭 Genre Breakdown: Top-performing genres
- 🗓️ Release Year Trends (1925–2021)
- 🌍 Global Distribution: Country-wise content analysis via a filled map
- 🔞 Ratings Overview: Age-based content classification
- 🔍 Slicers & Filters for Type, Year, and Country
I used data modeling, calculated columns (DAX), and layered visual storytelling to build an experience, not just a report.
This dashboard helps business teams:
- ✅ Identify the most popular and frequently produced genres
- ✅ Understand how content production has scaled over the decades
- ✅ Plan regional content strategies using country-level insights
- ✅ Use rating distributions to tailor content for different age groups
- ✅ Provide decision-ready visuals for executive teams and content strategists
Why it matters:
Executives and content planners can use these insights to invest in the right genres, identify underrepresented regions, and time releases for maximum impact.
Power BI: Data modeling, DAX, interactive visuals
Data Visualization: Pie charts, bar charts, line graphs, maps, slicers
Storytelling: Clear layout for user-friendly exploration of insights
NetflixDashboard.pbix: Power BI dashboard file
Screenshot.png: Preview image of the dashboard
README.md: Project documentation (this file) Pythonfile.ipynb: jupyter Notebook
Movies make up ~70% of total Netflix releases, while TV Shows account for ~30%.
Dramas, documentaries, and comedies are among the most popular genres.
Netflix’s content production has seen exponential growth since the 2000s.
Content is distributed globally, highlighting Netflix’s international reach.
To view and interact with the dashboard:
Clone or download this repository.
Open the NetflixDashboard.pbix file in Power BI Desktop.
Use the slicers to filter by content type, release year, and more.
Through this project, I enhanced my skills in:
Building interactive dashboards
Data modeling and transformations in Power BI
DAX measures for calculated columns and visuals
Designing user-friendly layouts for data storytelling
I’d love to hear your thoughts! Feel free to open an issue or connect with me on LinkedIn to share suggestions and feedback.
📎 Connect LinkedIn: [https://www.linkedin.com/in/muhammed-fazal-/]
Email: fasalcheru@gmail.com
Thank you for checking out my project! 🚀✨