Author name: Mohammed looti

Learn How to Sum Multiple Columns in Power BI Using DAX

When working with data aggregation in Power BI, one common requirement is calculating the sum of values across multiple columns within the same row. This horizontal summation requires a specific approach using DAX (Data Analysis Expressions), as standard aggregation functions typically operate vertically down a single column. The following syntax provides the most efficient method […]

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Learning to Calculate Maximum Values with DAX in Power BI

Introduction to Calculating Maximums in Power BI Identifying extremes within a dataset is a fundamental requirement in business intelligence, and calculating the maximum value is a core function used across all analytical platforms. Whether you are tracking the highest monthly revenue, the peak operational efficiency, or, as demonstrated here, the maximum score achieved by an

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Learning to Remove Characters from Strings in Power BI Using DAX

You can use the following syntax in DAX to remove specific characters from a string: Team_New = SUBSTITUTE(‘my_data'[Team], “Team_”, “”) This particular example creates a new column named Team_New that removes the string “Team_” from each string in the Team column of the table named my_data. The following example shows how to use this syntax in

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Learning to Calculate Standard Deviation in Power BI with DAX: A Step-by-Step Guide

You can use the following syntax in DAX to calculate the standard deviation of values in a column: Std Dev of Points = STDEV.P(‘my_data'[Points]) This particular example creates a new measure named Std Dev of Points that calculates the standard deviation of values in the Points column of the table named my_data. Note that there

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Learning to Calculate Monthly Averages in Power BI with DAX

Introduction to Monthly Aggregation in Power BI The ability to calculate accurate and meaningful averages grouped by specific time periods is fundamental to effective business intelligence and data analysis. In Power BI, analyzing sales or performance metrics monthly provides crucial insights into seasonal trends, long-term growth, and performance volatility that daily data might obscure. Calculating

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