Excel IFS Function
The Excel IFS Function represents a versatile tool designed to enable users to make nuanced decisions based on multiple true or false conditions within Excel spreadsheets, offering a streamlined approach to categorizing and processing data efficiently.
By employing the IFS function, users can define a series of conditions along with their corresponding return values, allowing for the dynamic classification of data points based on a range of criteria.
Understanding the IFS Function:
The IFS function in Excel comprises a structured format with two or more key components:
- logical_test1, logical_test2, …: These segments encompass the conditions to be evaluated, determining the appropriate response based on their veracity.
- value_if_true1, value_if_true2, …: Corresponding return values linked to each condition, dictating the output when a condition is met.
IFS Function
The IFS function is a premade function in Excel, which returns values based on one or more true or false conditions.
It is typed =IFS and has two or more parts:
=IFS(logical_test1, value_if_true1, [logical_test2, value_if_true2], [logical_test3; …)
The conditions are referred to as logical_test1, logical_test2, ..., which can check things like:
- If a number is greater than another number
> - If a number is smaller than another number
< - If a number or text is equal to something
=
Each condition is connected with a return value.
Note: More than one condition can be true so the function will return the value for the first true condition.
Note: The different parts of the function are separated by a symbol, like comma , or semicolon ;
The symbol depends on your Language Settings.
Example IFS function
Make categories for how fast the Pokemon are:
The conditions and return values are:
- Speed more than 90: “Fast”
- Speed more than 50: “Normal”
- Speed less than or equal to 50: “Slow”
Copy Values
Example IFS function, step by step:
- Select the cell
D2 - Type
=IFS - Double click the IFS command
- Specify the first condition
C2>90 - Type
, - Specify the value
"Fast"for when the first condition is TRUE - Type
, - Specify the second condition
C2>50 - Type
, - Specify the value
"Normal"for when the second condition is TRUE - Type
, - Specify the third condition
C2 - Type
, - Specify the value
"Slow"for when the third condition is TRUE - Hit enter
Since the value in cell C2 is “45”, the first and second conditions are false, and third condition is true (less than or equal to 50), the function will return “Slow”.
Note: Text values needs to be in quotes: ” “
The function can be repeated with the filling function for each row to perform the same check for each Pokemon:
Note: The third condition includes = so that 50 is included in "less than or equal to 50"
Now, each Pokemon has a speed category: