Excel IFS Function

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"

    Name	Type 1	Speed	Speed Category
    Bulbasaur	Grass	45
    Ivysaur	Grass	60
    Venusaur	Grass	80
    Charmander	Fire	65
    Charmeleon	Fire	80
    Charizard	Fire	100
    Squirtle	Water	43
    Wartortle	Water	58
    Blastoise	Water	78

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<=50

• 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 <=50 includes = so that 50 is included in "less than or equal to 50 "

Now, each Pokemon has a speed category: