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How to Create Conditional Columns in Power BI

How to Create Conditional Columns in Power BI 🎯

Conditional columns are a quick and powerful way to add extra detail to your dataset. Instead of writing complex DAX, you can use simple IF logic in the Power Query Editor to generate new columns based on rules you define, expanding your data!

In this tutorial, data tutor Jay Binning shows you step by step how to:
Create a conditional column in Power BI

- Use values from existing columns to define new outputs
- Apply custom rules to categorise or label your data
- Save time by avoiding lengthy formulas

Whether you’re working with GPS metrics, match data, or any other performance dataset, conditional columns make it easy to structure your data in a way that’s meaningful and actionable.

📊 Simple, effective, and beginner-friendly.



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Want to understand athlete monitoring and training load fundamentals, alongside learning how to build out bespoke training load and response dashboards and reports in Power BI?
Our new course with Jo Clubb from Global Performance Insights, Fundamentals of Load Monitoring, has gone live!
👉 Visit our landing page below to get access:
https://www.sporthorizon.co.uk/fundamentals-of-load-monitoring

🔗 And to learn more about the course and its applied benefits, check out this great introduction video featuring Ciaran Deely from Sport Horizon and Jo Clubb from Global Performance Insights.
They explore load monitoring, applied practice frameworks, and why learning Power BI is so valuable for practitioners:
👉 https://www.youtube.com/watch?v=XYbKghPWqAI



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At Sport Horizon, we support analysts, sport scientists, and coaches with tailored education in sports data analysis. Our team combines real-world experience in elite sport with expertise in tools like Power BI, Tableau, and Excel. Whether you’re working in football, GAA, rugby, or another team sport, we help you bridge the gap between data and performance.



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Видео How to Create Conditional Columns in Power BI канала Sport Horizon
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