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Tableau Aggregate Functions | A Complete Guide with REAL-TIME Examples

Last updated on 02nd Nov 2022, Artciles, Blog

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Samual Agastin (Tableau Sr Developer Engineering )

Samual Agastin is a Tableau Sr Developer Engineering, his role can read API products and apps, as well as edit API proxies, shared flows, and KVMs. He has 5+ years of experience in SQL Server data, MuleSoft, ESB, IBM API, AWS API RESTful, and Apache Kafka.

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    • In this article you will learn:
    • 1.Introduction to Tableau Aggregate Functions.
    • 2.Aggregate Functions.
    • 3.How does Aggregate Function Work in Tableau?
    • 4.Aggregating Measures.
    • 5.Conclusion.

Introduction to Tableau Aggregate Functions :

Tableau isn’t only a device that makes a graphs and reports the top of a line the facts illustration do want the Functions in Tableau. By getting access to this feature simply click on a pick combination from a column drop-down listing to make Create Calculated Field. Below are a number of a Tableau Aggregate Functions listing:

  • Number Functions.
  • String Functions.
  • Date Functions.
  • Type Conversion Functions.
  • Aggregate Functions.
  • Logical Functions.
  • From above we’ll see an extra element approximately Aggregate Functions that’s maximum typically using.

Aggregate Functions :

Aggregate features are integrated features that let summarize or alternate a granularity of an information. Following are diverse Aggregate features in a Tableau:


Average features go back a suggest of all values in an expression and may be used with the numeric fields handiest.


The features handiest go back a unmarried fee for a calculated row and the NULL values may be ignored. If the circumstance isn’t always be meet, it’s going to go back of asterisk fee.

Tableau Aggregate Functions


COLLECT feature may be used for a spatial fields. It will integrate a values withinside the argument fields and a NULL values may be ignored.


CORR stands for the correlation among 2 supply expressions. When need to correlate among 2 variables, it is able to go back 3 values 1 zero and -1. The values 1 represents a high-quality changes zero represents a no dating and -1 represents a bad alternate.


It will go back range of a values gift withinside a decided on column and NULL values can’t be counted. Take a nice instance for this feature creating a pivot desk in an excel through be counted number of values-primarily based totally category.


It will go back a wonderful be counted number for a given column or a set and it’s going to now no longer go back NULL fee. These features can be the use of supply of MS excel or a textual content or Access.


COVER stands for a covariance for the given expressions. The high-quality covariance shows a variable is shifting in a direction of withinside the proper path and may be observed withinside a trend. The information may be taken into the consideration as random sample.


This feature is much like a covariance however it handiest biased with population.


The MAX features go back a most values for a given expression. Suppose should see a most age withinside the given voter list. And may want to follow this feature to be look it.


It will go back numeric values with a median of a unmarried expression. It will go back a center fee for a given expression it’s going to forget about a NULL values.

Tableau Functions

How does Aggregate Function Work in a Tableau?

  • Open a new workbook in a tableau computer and reassess the use of data. xls document dataset. Here is the dataset and it will use any saved income document to calculate a weekly average income. can genuinely discover a typical of earnings by dragging and dropping the date into the row area and then calculating earnings within the second column as an average (AVG) as shown below.
  • The issue with performing AVG calculations in Tableau is that they are entirely dependent on each incidence of income. However when looking deeper into the facts each income has more than one order and a special merchandise. The pattern discovery is demonstrated below.
  • Here truly recognise a calculation made by way of a sum of income and created an average. Tableau automatically calculates an SUM (Sales) / COUNT (Sales). How will you customise it to make a common for in accordance with the day or weekdays? Yes I’d like to use a calculated area to have an AVG aggregation as SUM (Sales).
  • First create a general daily income then use this as a foundation to find a common income for an afternoon or weekdays. The calculated area will then be featured in a worksheet for visualization. Add a clear out to create a weekday and switch the aggregation to AVG. Now notice the difference between how a Tableau default common value is displayed and how the mixture AVG value is displayed.

Aggregating Measures:

Tableau automatically aggregates the value of a measure when it is added to a view. Aggregation functions that are commonly used are average, sum and median. In the view the current Aggregation appears as part of the measure’s name.

For example: Sales is converted to an SUM (Sales) and each measure has a default aggregation that is determined by Tableau when it connects to a data source. A measure’s default aggregation can be changed or viewed.

  • Only for relational data sources can a measure be aggregated using Tableau.
  • A multidimensional data source includes data sources that have already been aggregated.
  • Tableau only supports multidimensional data sources on Windows.

Set a default Aggregation for Measures:

Any measure can have its default aggregations set. It is not a calculated field containing the aggregate, such as AVG ([Discount]). For summarizing a discrete or continuous field a default aggregation is a preferred calculation. When you drag a measure to view automatically the default aggregation is used.

To change a default Aggregation:

  • Right-click a measure menu option in the Data field and choose Default Properties then Aggregation and one of the aggregation options.
  • A published data source cannot have a default aggregation set. The default aggregation is only set when a data source is first published.

Conclusion :

Now you’ve learned about ready Tableau features and their various types Aggregate Functions with examples and how to use the ta combination feature in a Tableau desktop.

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