Summary  
This chapter explains how to generate dynamic measures using Quick Measures (such as a running total) and how to define custom logic via calculated columns to derive row-level values and optimize model performance.

General domain of usage  
Business intelligence and analytics

Explore **Quick Measures** in Power BI to simplify complex calculations and create insights faster. You will also learn how to incorporate hard-coded calculations using **calculated columns** and understand how creating a **running sum** enhances data analysis and enables more dynamic visuals.

**Calculated columns** provide additional flexibility by allowing you to define custom logic at the row level, enriching your dataset with meaningful derived values.

Here’s an example of a DAX measure created using the **Quick Measures** feature to calculate a **running total** of riders:

```DAX
Total Riders Running Total in Date =
CALCULATE(
    [Total Riders],
    FILTER(
        ALLSELECTED('Date Table'[Date]),
        ISONORAFTER('Date Table'[Date], MAX('Date Table'[Date]), DESC)
    )
)
```


Which feature in Power BI simplifies the creation of common calculations like totals and averages?

What is the purpose of using calculated columns in Power BI?

Measures, Quick Measures, and Calculated Columns

1. Which feature in Power BI simplifies the creation of common calculations like totals and averages?

2. What is the purpose of using calculated columns in Power BI?