This project demonstrates a complete Data Analytics workflow applied to the Netflix catalog dataset.
The objective is to transform raw content data into structured analytical insights and prepare it for an interactive Business Intelligence dashboard.
- 📊 Analyze Movies vs TV Shows distribution
- 🎭 Identify dominant genres
- 🌍 Analyze production countries
- 🔞 Study age classification patterns
- 📈 Track catalog evolution over time
- 💡 Generate actionable business insights
- Handling missing values
- Removing duplicates
- Normalizing multi-value columns (
country,listed_in) - Date formatting & feature engineering
- Exporting clean dataset for BI
- Bar Charts → Type, Rating, Genre, Country
- Pie Charts → Movies vs TV Shows
- Line Charts → Content evolution over time
- Heatmaps → Multi-variable analysis
- Movies dominate the catalog.
- Drama & Comedy are the most frequent genres.
- Strong growth between 2015–2020.
- Majority of content targets mature audiences.
Safa Nya
Data Analyst | Python | Business Intelligence