Skip to main content

20 Power BI Dax Measures


UserPower bi 20 dax measures 20 DAX (Data Analysis Expressions) measures in Power BI with examples:

  1. Total Sales:

    scss
    Total Sales = SUM(Sales[Amount])

  2. Average Sales Price:

    scss
    Avg Sales Price = AVERAGE(Sales[Amount])

  3. Total Units Sold:

    mathematica
    Total Units Sold = SUM(Sales[Quantity])

  4. Total Customers:

    scss
    Total Customers = COUNTROWS(Customer)

  5. Total Products:

    mathematica
    Total Products = COUNTROWS(Product)

  6. Maximum Sales Amount:

    scss
    Max Sales Amount = MAX(Sales[Amount])

  7. Minimum Sales Amount:

    scss
    Min Sales Amount = MIN(Sales[Amount])

  8. Sales Growth Percentage:

    mathematica
    Sales Growth % = (Total Sales - [Total Sales Last Year]) / [Total Sales Last Year]

  9. Total Profit:

    scss
    Total Profit = SUM(Sales[Profit])

  10. Total Orders:

    scss
    Total Orders = COUNTROWS(Orders)

  11. Total Customers with Sales:

    css
    Total Customers with Sales = COUNTROWS(FILTER(Customer, [Total Sales] > 0))

  12. Total Sales by Region:

    mathematica
    Total Sales by Region = SUMX(VALUES(Region[RegionName]), [Total Sales])

  13. Total Sales by Year:

    scss
    Total Sales by Year = SUMX(VALUES(Calendar[Year]), [Total Sales])

  14. Running Total Sales:

    scss
    Running Total Sales = SUMX(FILTER(ALL(Calendar), Calendar[Date] <= MAX(Calendar[Date])), [Total Sales])

  15. Top N Products by Sales:

    mathematica
    Top N Products by Sales = TOPN(5, ALL(Product), [Total Sales])

  16. Rolling Average Sales (3 Months):

    scss
    Rolling Avg Sales 3M = AVERAGEX(DATESYTD(Calendar[Date]), [Total Sales])

  17. Total Sales to Date:

    mathematica
    Total Sales to Date = TOTALYTD([Total Sales], Calendar[Date])

  18. Sales Rank by Product:

    mathematica
    Sales Rank by Product = RANKX(ALL(Product), [Total Sales], , DESC, Dense)

  19. Customer Churn Rate:

    css
    Customer Churn Rate = DIVIDE([Lost Customers], [Total Customers])

  20. Year-to-Date Growth:

    mathematica
    YTD Growth = DIVIDE([Total Sales], [Total Sales Last Year]) - 1

These measures cover a range of common calculations in Power BI, including basic aggregations, comparisons, and time-based calculations. You can adapt and customize them to suit your specific data and reporting needs

Labels:

Comments

Post a Comment

Popular posts from this blog

Split Column in Power Query

  Split Column In Power Query, a column of text can be split into multiple columns and in a number of different ways to achieve the results you want. By default, the name of the new columns contains the same name as the original column with a suffix of a period (.) and a number that represents each split section from the original column. You can then rename the column. Split Column Types - Click on the link below for details Split a column by delimiter Split a column by number of characters Split a column by positions Split a column by letter case combinations Split a column by digit and non-digit combinations
Post a Comment
Read more

How to create a Waterfall Chart

Download Example Waterfall chart file from below link https://drive.google.com/file/d/17OKYxHKzT8NxWM0FuPqEb26ntzQqa29_/view?usp=sharing How to Create a Waterfall Chart in Excel If you want to build a waterfall chart of your own, we’ve got the step-by-step instructions for you. Although Excel 2016 includes a waterfall chart type within the chart options, if you’re working with any version older than that, you will need to construct the waterfall chart from scratch.  Step 1: Create a data table Let’s start with a simple table like annual sales numbers for the current year. You will see in the table below that the sales amounts vary for each month. Some months will have positive sales growth, while others will be negative.     Insert three additional columns to your Excel table to represent the movement of the columns on the waterfall chart. The base column will represent the starting point for the fall and rise of the chart. You will input all the negative numbers fro...
Post a Comment
Read more

Data Cleaning Functions in Excel

  The CLEAN function Using the CLEAN function removes nonprintable characters text. For example, if the text labels shown in a column are using crazy nonprintable characters that end up showing as solid blocks or goofy symbols, you can use the CLEAN function to clean up this text. The cleaned‐up text can be stored in another column. You can then work with the cleaned text column. The CLEAN function uses the following syntax: CLEAN(text) The text argument is the text string or a reference to the cell holding the text string that you want to clean. For example, to clean the text stored in Cell A1, use the following syntax: CLEAN(A1) The CONCATENATE function The CONCATENATE function combines, or joins, chunks of text into a single text string. The CONCATENATE function uses the following syntax: CONCATENATE(text1,text2,text3,...) The text1, text2, text3, and so on arguments are the chunks of text that you want to combine into a single string. For example, if the city, state, and ZIP co...
Post a Comment
Read more