Aggregation Calculated Fields

Aggregation formulas are useful for you to work with your original data source in order to dissect its values, often re-organizing, or simply summarizing the information contained in it. You can also use them to calculate different values you are focused on (average, for example), find top and bottom values (max and min), etc. All formulas are, therefore, meant to be used with numerical fields only.

In Reveal, aggregation calculated fields include:

• Standard functions: for information on each one, click the corresponding hyperlink under "Function Name."

• Standard functions with if conditions: this section contains a detailed explanation of what an if condition is (including nested if conditions) and how you need to structure it.

注記

All samples included in the table below were created with the HR Dataset 2016 spreadsheet.

Aggregation functions

Function Name and Description	Function Syntax	Sample
average: The average aggregation will return a number, which will be calculated from the average value of all rows in your selected expression.	average({expression})	average([Wage])
averageif: Using a regular function with an if-condition means that the results you get need to meet certain criteria, which will be defined within your condition.	averageif({expression},{if-condition})	averageif([Wage],[OfficeId]=1)
count: The count aggregation will return a number, which is the number of rows in your data source. There are no additional arguments required.	count()	count()
countif: Using a regular function with an if-condition means that the results you get need to meet certain criteria, which will be defined within your condition.	countif({if-condition})	countif([OfficeId]=1)
max: The max aggregation will return a number, which is the highest number in your selected expression.	max({expression})	max([Wage])
maxif: Using a regular function with an if-condition means that the results you get need to meet certain criteria, which will be defined within your condition.	maxif({expression},{if-condition})	maxif([Wage],[OfficeId]=1)
min: The min aggregation will return a number, which is the lowest number in your selected expression.	min({expression})	min([Wage])
minif: Using a regular function with an if-condition means that the results you get need to meet certain criteria, which will be defined within your condition.	minif({expression},{if-condition})	minif([Wage],[OfficeId]=1)
sum: The sum aggregation will return a number, which is calculated as the sum of all rows in your selected expression.	sum({expression})	sum([Wage])
sumif: Using a regular function with an if-condition means that the results you get need to meet certain criteria, which will be defined within your condition.	sumif({expression},{if-condition})	sumif([Wage],[OfficeId]=1)

Calculated Fields with IF Conditions

Using a regular function (which needs an expression) with an if-condition means that the results you get need to meet certain criteria, which will be defined within your condition.

Syntax

By default, you will see the following structure when you select any of the functions with the "IF" suffix.

XXXXXXIF({expression},{if-condition})

There are two arguments that you will need to configure:

• expression: choose one of the fields in your data source.

• if-condition: the if condition will require that you perform a logical test. The if-condition requires a logical test, which is the condition your expression needs to meet for the aggregation to be calculated.

Basic Samples

For example, let's take a look at the example in the table above:

averageif([Wage],[OfficeId]=1)

For clarification purposes, we will separate the function according to the terms we defined above:

Function Name	Expression	IF Condition
averageif (…​)	[Wage]	[OfficeId]=1

A non-numerical example could be the following:

sumif([Wage],[Department]="Development")

Where:

Function Name	Expression	IF Condition
sumif (…​)	[Wage]	[OfficeId]=1

Sample with Nested IF conditions

You can use nested if conditions by preceding them with a logical operator (AND, OR).

The following is one example with only two if conditions, but you can include as many as necessary:

maxif([Wage], and([OfficeId]=1, [Department]="Development"))

Where:

Function Name	Expression	Logical Operator
maxif (…​)	[Wage]	and

And the if-condition statements are:

First Logical Test	Value if true	Value if false
[OfficeId]=1	1	0

Second Logical Test	Value if true	Value if false
[Department]="Development"	1	0

Because the logical operator is and, both conditions need to be true for the maxif aggregation to be carried out.