From the course: Power BI Data Analyst Associate (PL-300) Cert Prep: Create Model Calculations Using DAX
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Calculated columns vs. measures - Power BI Tutorial
From the course: Power BI Data Analyst Associate (PL-300) Cert Prep: Create Model Calculations Using DAX
Calculated columns vs. measures
- [Instructor] As we follow data transformation best practices, we usually will remove any fields that can be derived from a calculated value. An example of this would be sales total, inclusive of sales tax, a profit field, when we have the cost and sales field, and other examples similar to those. One of the reasons for removing unnecessary fields is that we want to keep the data set as small as possible as this conforms with best practices for good model design. Though it is best practice, there are times when we will need to add fields to our tables for different reasons. There are two options for this. Calculated columns and measures. Let's look at some of the differences and similarities between the two. Calculated columns are useful for different types of data, whether text or numeric values. They're created using DAX and will become a new field which will automatically take the data type of the fields used to…
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Demo: Creating a quick measure in Power BI3m 47s
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Demo: Creating a full measure6m 44s
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Demo: Semi-additive measures2m 56s
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Calculated columns vs. measures2m 33s
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Implicit vs. explicit measures1m 27s
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Work with aggregations2m 2s
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Demo: Calculated tables1m 40s
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