# COLUMNSTATISTICS

## Y

In this article, we’ll take a deep dive into the COLUMNSTATISTICS function and show you how to use it in your Power BI projects.

## What is the COLUMNSTATISTICS function?

The COLUMNSTATISTICS function is a DAX function that calculates statistics on a column of data in your dataset. The function takes two arguments: the column of data you want to analyze and the statistics you want to calculate.

The available statistics you can calculate with COLUMNSTATISTICS include:

– Min: The minimum value in the column.

– Max: The maximum value in the column.

– Count: The number of non-blank cells in the column.

– DistinctCount: The number of unique values in the column.

– Sum: The sum of all values in the column.

– Average: The average of all values in the column.

– Variance: The variance of all values in the column.

– StandardDeviation: The standard deviation of all values in the column.

## How to use the COLUMNSTATISTICS function

To use the COLUMNSTATISTICS function in Power BI, you’ll need to open your dataset in Power BI Desktop and create a new measure. Here’s how:

1. In Power BI Desktop, go to the “Modeling” tab and click “New Measure”.

2. In the formula bar, enter the following formula:

MeasureName = COLUMNSTATISTICS(TableName[ColumnName], “StatisticName”)

``` Replace "MeasureName" with the name you want to give the measure, "TableName" with the name of the table containing the column you want to analyze, "ColumnName" with the name of the column you want to analyze, and "StatisticName" with the statistic you want to calculate. For example, if you wanted to calculate the average of the "SalesAmount" column in the "Sales" table, you would enter the following formula: ```

AvgSales = COLUMNSTATISTICS(Sales[SalesAmount], “Average”)

``` 3. Click "Enter" to create the measure. Once you've created the measure, you can add it to your report and use it in your visualizations. Example: Using COLUMNSTATISTICS to analyze sales data Let's say you're working with a dataset that contains sales data for a retail company. You want to analyze the sales data to better understand the performance of different products and regions. Here's how you could use the COLUMNSTATISTICS function to do that: 1. Open your dataset in Power BI Desktop. 2. Create a new measure for each statistic you want to calculate. For example, you might create measures for the average sales amount, the total number of sales, and the number of unique products sold. 3. Add a table or chart to your report that shows the results of your measures. You might create a table that displays the average sales amount and total number of sales for each product category, or a chart that shows the number of unique products sold in each region. By using the COLUMNSTATISTICS function, you can quickly and easily calculate the statistics you need to analyze your data and gain valuable insights into your business. The COLUMNSTATISTICS function is a powerful tool for analyzing data in Power BI. By using this function, you can quickly and easily calculate a wide range of statistics on your data, allowing you to gain insights into your business and make more informed decisions. So if you're working with Power BI, be sure to add the COLUMNSTATISTICS function to your toolkit and start exploring your data today! Power BI DAX Training Courses by G Com Solutions (0800 998 9248) Power BI DAX Intensive Training Course £1,260.00 – £31,860.00 Select optionsContinue Loading Done Power BI DAX Introduction £474.00 – £11,700.00 Select optionsContinue Loading Done Power BI DAX Intermediate £474.00 – £11,700.00 Select optionsContinue Loading Done Power BI DAX Advanced £474.00 – £11,700.00 Select optionsContinue Loading Done Upcoming Courses 16-18 September 202411-13 November 2024 Contact Us Subject Your Name (required) Company/Organisation Email (required) Telephone Training Course(s) Power BI Intensive TrainingPower BI introduction Power BI IntermediatePower BI AdvancedDAXPower Query MPower BI CertificationPower BI AdministrationPower PlatformPower AutomatePower AppsOTHER Your Message Upload Example Document(s) (Zip multiple files) ```
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