In this tutorial, we explore the Window function in Qlik Sense, one of the most powerful tools for advanced calculations.
With the Window() function, you can:
Compare values across rows (averages, minimums, maximums, totals)
Calculate rankings across partitions or entire tables
Define partitions (e.g., by department) for grouped calculations
Apply sorting rules within partitions
Use filters for conditional aggregations
Implement sliding windows for rolling sums, moving averages, and sequential calculations
By the end of this tutorial, you’ll know how to apply the Window function to enhance your Qlik Sense data models and uncover deeper insights.
📊 00:07 – Introduction: Window Function in Qlik Sense
🔎 00:24 – What is the Window Function? (Overview & Uses)
➕ 00:46 – Using Window with Aggregations
💰 01:06 – Comparing Salaries to Median Salary
📑 01:19 – Using Partitions in Window Functions
🏢 01:34 – Calculating Department-Wise Average Salary
🔢 01:54 – Sorting Rows & Adding Row Numbers (By Age)
📈 02:19 – Ranking & Sequential Calculations in Departments
🎯 02:42 – Applying Filters in Window Calculations (U.S. Employees Example)
📐 03:23 – Adding Window Calculations to a Table
⏩ 03:53 – Sliding Window Functionality Explained
🔄 04:15 – Rolling Sums, Moving Averages & Sequential Aggregates
✅ 04:23 – Conclusion
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