Now we are going to dive into the **CALCULATE **function in Power BI.

We have already used the function many times but this is where I want to discuss it in detail.

## Getting The Sales Last Year With CALCULATE

The **CALCULATE **function allows you to **change the context of a calculation within a measure** wherein the context is coming from the environment where your calculation is being done. **You may watch the full video of this tutorial at the bottom of this blog.**

The ability to change the context within a measure is very important in DAX.

We will start with an example by creating a measure called **Sales LY** which uses the **CALCULATE **function to **compare the sales on the current date **to **the sales on the same date last year**.

Within the **CALCULATE** function, we will put in our **Total Sales **since the first parameter of **CALCULATE **can take any kind of **expression**.

Then, I will use a **time intelligence function** called **SAMEPERIODLASTYEAR**. Time intelligence functions are **functions used for time-related calculations**.

Since we are putting **SAMEPERIODLASTYEAR **inside **CALCULATE**, we will be adjusting our current context by one year through our **Date column**.

Upon dragging in the new measure, you will see that the **Total Sales **and **Sales LY **columns have different results.

The reason behind this is that the values inside **Sales LY **are taken from the **Total Sales exactly one year before**.

To show an example, let us have a look at the **Sales LY **value of the date **28/02/2020**.

Since it has a value of **$10,440**, looking back at the **Total Sales **of the date **28/02/2019** should yield the exact same result.

It is recognizing **28/02/2020 **as the present date, but it changes the context **to the same date in 2019** through the **Sales LY **column.

This is why **CALCULATE **is such an important function in Power BI. It allows you to perform calculations in many different ways, like when you need to **find the difference **between the **Total Sales **and **Sales LY**.

## Changing The Context By Quarter

I can also change the context of the **Date column **so that I could look at **quarterly values **instead of **daily values**.

I will first drag in the **QuarterInCalendar **column which can be found inside the **Dates table**.

The first thing that you will notice here is that **the dates are not sorted correctly**. To fix this, I will sort the column called **QuarterInYear**.

I will go to the **Data **area and highlight the **QuarterInCalendar **column.

Then, I can select the **QuarterInYear **option under **Sort by column**.

Once we go back to the previous screen, you can now see that we already have the quarters in the right order.

We are doing the exact same thing earlier, but the values are **accumulated in a different granularity **since we are looking at quarters instead of days.

For instance with **Q2 2020**, we have a **Total Sales **value of **$2,839,495**. But when we look at the **Sales LY **value, the **CALCULATE function **changes the context back one year, which has the **Q2 2019 Total Sales **value of **$3,665,971**.

The

CALCULATEfunction enables you to work in different ways using a similar insight without having to rewrite formulas or calculations.

## Total Sales Of Certain Location Using CALCULATE

I also want to show you another way how you can adjust the context inside **CALCULATE**.

We previously changed the contexts of the calculations completely, but now I want to show you an example where we would instead filter the context slightly.

What if I wanted to calculate all of my sales **in a certain location**, specifically North Carolina?

To do this, I can create a new measure called **Sales in NC**, use **CALCULATE **with **Total Sales **as the expression, and then use the **State Code **in the **Locations table **as the filter and set it equal to **“NC”**.

Once we drag in our new measure, we can see a breakdown of the **Total Sales **in just a **particular region** based on the context of **Product Name**.

Compared to **Sales LY **where the context was changed completely, the context in **Sales in NC **was simply adjusted.

If you look at any of the advanced content from Enterprise DNA, you will see that **CALCULATE **is used in almost everything since formulas can be written very efficiently using it.

You might have already seen very long formulas written in **Microsoft Excel **which span two to three lines. In Power BI, you can have a whole range of different calculations by simply adjusting the context.

To show another example, I can drag in the **Sales in NC **measure along with the **QuarterInCalendar** measure.

I did not have to make changes in the formula, but I **added to the context** compared to our previous example where we adjusted it.

Since we already have our quarterly sales, adding in **Sales in NC **gave us **quarterly sales particular to North Carolina**.

There is that slight difference compared to completely changing the context like in **Sales LY **where we used a time intelligence function to manipulate the date.

The **Sales in NC **measure is just a filter on **location** which is not related to the initial context of **QuarterInCalendar** which is **date**.

## Conclusion

That was just an introduction to the **CALCULATE **function in Power BI on how you could use it to change, adjust, or add to the context of your calculations.

I want you to think about how you can apply this on something that you are working on. If you can utilize this function, you can quickly do formula combinations and techniques to calculate more things.

All the best,

Sam

******* Related Links *********Calculating Dynamic Percentage Of Total Change Using Power BI Time Intelligence****Calculating A Cumulative Run Rate Using DAX In Power BI****How To Calculate Difference In Days Between Purchases Using DAX In Power BI**

******* Related Course Modules *********Ultimate Beginners Guide to DAX****Advanced DAX Combinations****Time Intelligence Calculations**

******* Related Support Forum Posts *********Looking To Calculate The Percent Of Total In Power BI Using DAX****Calculate The Difference In Days Between Purchases Or Events In Power BI****Frequency Of Product Purchased****For more CALCULATE queries to review see here…..**

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