This repository is a collection of Power BI dashboards I've developed. It tracks my journey in using Power BI, from foundamental reports to more advanced interactive analyses, all aimed at turning data into clear, actionable insights.
Explore dashboards below. Each has its own dedicated README with more details on the build process and specific features.
🌐 View Interactive Dashboard on Power BI Service
This initial dashboard provides a comprehensive two-page exploration of the data job market, designed for job seekers. It features a high-level summary page and a detailed drill-through page for specific job titles, offering a broad look at market trends and compensation.
Key Power BI Skills Utilized:
- 🎨 Dashboard Layout & Design
- ⚙️ Power Query (ETL & Data Shaping)
- 🔗 Basic Data Modeling (Table Relationships)
- 🧮 Implicit Measures & Standard Aggregations
- 📊 Core Charts (Bar, Line, Area, Column)
- 🗺️ Map Visualizations for Geospatial Data
- 🔢 KPI Cards & Detailed Data Tables
- 🖱️ Interactive Slicers for Filtering
- 🔘 Buttons & Bookmarks for Page Navigation
- ➡️ Drill-Through Functionality
➡️ View Full Project 1 Details (README)
🌐 View Interactive Dashboard on Power BI Service
Version 2.0 of the Data Jobs Dashboard streamlines the analysis into a highly focused, single-page experience. It's optimized to deliver the most critical insights quickly to job seekers, featuring dynamic interactions and more advanced analytical capabilities.
Key Power BI Skills Utilized (demonstrating progression):
- 🎨 Advanced Dashboard Design (Single-Page UX & Optimization)
- ⚙️ Complex Power Query Transformations
- 🔗 Star Schema Data Modeling Principles
- 🧮 Explicit DAX Measures (e.g.,
CALCULATE, context modifiers) - 📊 Dynamic Visualizations (driven by Parameters/Slicers)
- ⚙️ Field & Numeric Parameter Implementation for "What-If" Analysis
- 🗺️ Enhanced Geospatial Insights
- 🔢 Advanced Card Visualizations
- 🎚️ Optimized Slicers & Advanced Cross-Filtering Techniques
- ✨ Report Performance Considerations
➡️ View Full Project 2 Details (README)
Each dashboard linked above has its own detailed README.md file within its respective project folder. These offer deeper insights into the project objectives, data sources, specific Power BI techniques employed, and a closer look at the dashboard build.