Welcome to Knowhow Academy's insightful tutorial on Understanding Power BI DAX aggregate functions with Real Time Examples! In this comprehensive video, we explore various DAX functions, focusing on aggregate functions such as Average, Count, Sum, Max, Min, and their X counterparts. Using a practical case study with Power BI, we delve into creating new columns, calculating sales, costs, profits, and finding average values. The tutorial covers crucial distinctions between column-level aggregation (sum) and row-level aggregation (sum X). Learn to apply filter functions like Max X to identify maximum sales for specific regions, and gain a deep understanding of count, distinct count, and count blank functions. Whether you're new to DAX or seeking to enhance your skills, this tutorial provides valuable insights. Stay curious, keep learning, and thank you for choosing Knowhow Academy as your go-to source for IT knowledge.
Time stamp:
0:00- Introduction
0:24- List of aggregate functions
0:51- Introduction to Power BI and the dataset
1:14- Explanation of the dataset columns
2:08- Creating a new column for sales calculation
3:02- Creating a new column for cost calculation
3:23- Creating a new column for profit calculation
4:06- Finding the average of sales using the AVERAGE DAX function
5:05- Introduction to X functions (AVERAGEX in this case)
6:01- Difference between AVERAGE and AVERAGEX functions
6:51- Introduction to COUNT DAX function
7:47- Understanding COUNT and DISTINCTCOUNT functions
9:29- Introduction to COUNT Rows DAX function
10:35- Introduction to COUNTBLANK and DISTINCTCOUNTBLANK functions
11:46- Introduction to MAX and MIN DAX functions
13:15- Finding maximum and minimum sales using MAX and MIN functions
15:30- Introduction to MAXX and MINX functions
16:23- Using MAXX to find maximum sales for a specific region
18:01- Using MINX to find minimum sales for a specific country
19:34- Introduction to SUM DAX function
20:48- Introduction to SUMX DAX function
22:10- Difference between SUM and SUMX functions
22:56- Conclusion and invitation to explore additional DAX functions
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