This is a Power BI dashboard showcasing the selection of right data and seamlessly connecting it.
📊 Power BI Dashboards: A Beginner's Odyssey 🚀
Dive into the world of data visualization with this repository! Inspired by Joshua Rischin's enlightening course on LinkedIn, I've embarked on a journey to demystify the art of dashboard creation using Microsoft's Power BI.
🔍 What's Inside?
- A primer on the foundational blocks of a Power BI dashboard.
- A showcase of selecting the right data and seamlessly connecting it.
- A variety of chart types, each tailored for specific data narratives.
- Dashboard filters to drill down into the specifics.
- Whether you're a data enthusiast or just curious about Power BI, this repository offers a glimpse into turning raw numbers into compelling stories. Let's drive better decisions, one dashboard at a time! 📈
- This repository showcases the process of creating an insightful Power BI dashboard for an e-commerce business. The steps and visualizations were inspired by a guided instructional course. Here's a breakdown of what was achieved:
- Time Series Chart: A line chart was created to visualize sales data over time.
- Data Linkage: Order Date was set to the X-axis and Order Total to the Y-axis.
- Adjustments: Default date hierarchy was replaced with the actual order date for clarity.
- Waterfall Chart: This chart was used to visualize aggregate sales data.
- Data Linkage: Prod Category was set as the category and Quantity as the Y-axis, showcasing product sales volumes from highest to lowest.
Challenge: Stakeholders often need to view data subsets based on specific criteria, like categories or states.
- Slicer Creation: A slicer was added to the dashboard to filter data based on the CustState (Customer State) field.
- Adjustments: The slicer was transformed from a list to a dropdown for a compact and user-friendly experience.
- Functionality: Selecting specific states (e.g., California) instantly filters the entire dashboard to reflect data for the chosen state(s).
- Adjustments Made:
- Resized and repositioned charts to optimize space and improve readability.
- Adjusted the header size to accommodate the slicer.
- Recommended color format updates for consistency across the dashboard
