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I’m halfway through a Power BI report and need an expert hand to finish the data-modeling side. All source data arrives as clean CSV files, each holding coordinate pairs alongside several lookup fields. Here’s what’s left to do: • Write DAX (or Power Query M if you prefer) that calculates the Euclidean distance between two coordinate columns in each row. • Build proper one-to-many relationships so my fact table links cleanly to the lookups. • Implement value-based filtering so end-users can slice results by numerical thresholds rather than dates or categories. I will share the PBIX, the raw CSVs, and a short explainer video that walks through the current model. Feel free to add supporting tables, custom measures, or quick visuals that prove each formula works. Clear, commented code is a must because I’ll be maintaining this after hand-off. Deliverable: an updated .pbix (or detailed steps I can replicate) that lets me see accurate distance calculations, validated relationships, and fully functional value-driven slicers. If you’re comfortable with DAX, Power Query, and best-practice data modeling, I’m ready to start right away and can hop on a quick call to answer any edge-case questions.
Project ID: 40287847
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Active 2 mos ago
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