All Power BI projects from ALX Data Visualization Sprint (Maji Ndogo case study)
# ALX Data Visualization Sprint – Power BI Projects
This repository contains my complete work from the **Visualizing Data** sprint in the ALX Data Analytics program.
The sprint focuses on storytelling with data, building impactful visuals, and designing dashboards using **Power BI** — all within the fictional but data-rich world of **Maji Ndogo**.
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## Sprint Learning Objectives
Throughout this sprint, I learned to:
- Create meaningful charts (bar, line, scatter, maps)
- Apply storytelling principles using data
- Transform, clean, and reshape data in Power BI
- Write calculated columns and measures using **DAX**
- Model data relationships (1:1, 1:many, cardinality)
- Use **GeoJSON** maps for geographical visuals
- Conduct exploratory analysis and communicate insights
- Build dynamic reports with slicers, bookmarks, drilldowns
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## Project Structure
Each part of the sprint builds on the previous one, adding complexity and new Power BI skills.
| Part | Focus | Repo |
|------|-------|------|
| **Part 1** | Water access dashboard, visuals, and formatting | 🔗 View Part 1 |
| **Part 2** | Data modeling, Power Query, and relationships | 🔗 View Part 2 |
| **Part 3** | Advanced formatting, conditional visuals, interactivity | 🔗 View Part 3 |
| **Part 4** | Transparency & storytelling dashboards (final project) | Coming soon |
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## Datasets & Files Used
| File | Description |
|------|-------------|
| `md_summary.csv` | Core dataset with water access info |
| `.pbix` files | Power BI project files for each part |
| `map.geojson` | Custom map for Maji Ndogo provinces |
| PDF exports | Dashboards exported to PDF for presentation |
| Infographics | Visual summaries for sharing insights |
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## Tools & Technologies
- **Power BI Desktop**
- Power Query Editor
- DAX (Calculated Columns & Measures)
- GeoJSON mapping
- CSV files
- Bookmarking, drill-through, and slicers
- Dashboard design principles
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## Key Concepts Learned
- **Visual storytelling** …