Microsoft PL-300 Training , study and exam guide
1 Introduction to Microsoft Power BI
1.1 Overview of Power BI
1.2 Power BI Components
1.3 Power BI Service vs Power BI Desktop
1.4 Power BI Licensing
2 Getting Data
2.1 Data Sources Overview
2.2 Connecting to Data Sources
2.3 Importing Data
2.4 Querying Data
2.5 Data Transformation
3 Data Modeling
3.1 Creating Relationships
3.2 Data Types and Formatting
3.3 Calculated Columns
3.4 Measures
3.5 Hierarchies
4 Data Visualization
4.1 Overview of Visualizations
4.2 Creating and Customizing Visuals
4.3 Filters and Slicers
4.4 Drill-Down and Drill-Up
4.5 Storytelling with Data
5 Power BI Service
5.1 Overview of Power BI Service
5.2 Publishing Reports
5.3 Sharing and Collaborating
5.4 Dashboards
5.5 Apps
6 Advanced Analytics
6.1 DAX Functions
6.2 Time Intelligence
6.3 Advanced Data Modeling
6.4 AI Insights
6.5 R and Python Integration
7 Performance Tuning
7.1 Optimizing Data Models
7.2 Query Folding
7.3 Aggregations
7.4 Data Refresh Strategies
8 Security and Governance
8.1 Row-Level Security
8.2 Data Lineage
8.3 Audit Logs
8.4 Data Classification
9 Certification Preparation
9.1 Exam Overview
9.2 Practice Questions
9.3 Exam Strategies
9.4 Resources for Further Study
Measures in Power BI

Measures in Power BI

Key Concepts

Measures in Power BI are calculated fields that perform aggregations, such as sums, averages, counts, and other calculations, on your data. They are essential for creating dynamic and interactive reports. Key concepts include:

Creating Measures

Measures are created using the "New Measure" feature in Power BI Desktop. They are defined using DAX formulas, which are similar to Excel formulas but are designed for data analysis.

Example: To create a measure that calculates the total sales amount, you would use the following DAX formula:

        Total Sales = SUM(Sales[Sales Amount])
    

Using DAX (Data Analysis Expressions)

DAX is a formula language used in Power BI to create custom calculations. It includes a wide range of functions for performing complex calculations and data manipulations.

Example: To calculate the average sales amount, you would use the AVERAGE function in DAX:

        Average Sales = AVERAGE(Sales[Sales Amount])
    

Context in Measures

Context in measures refers to the environment in which a measure is evaluated. There are two types of context: row context and filter context. Row context applies to individual rows in a table, while filter context applies to the entire dataset.

Example: In a table showing sales by region, the measure "Total Sales" would be evaluated in the filter context of each region.

Common Measure Functions

Power BI includes a variety of DAX functions that can be used to create measures. Some common functions include:

Example: To count the number of sales transactions, you would use the COUNT function:

        Number of Transactions = COUNT(Sales[Transaction ID])
    

Conclusion

Measures are a powerful feature in Power BI that allow you to perform complex calculations and create dynamic reports. By understanding how to create measures, use DAX, and apply context, you can unlock the full potential of your data analysis.