Type conversion functions

Learn about data type conversion functions.

Some formulas require the input to be of a particular data type. If you find that you want to pass a value to the function, but it is of the wrong data type, you can convert it using a conversion formula.

The following are the conversion formulas:

Function Description Examples

to_bool

Returns the input as a boolean data type (true or false).

to_bool (0) = false

to_bool (married)

to_date

Accepts a date represented as an integer or text string, and a second string parameter that can include strptime date formatting elements. Replaces all the valid strptime date formatting elements with their string counterparts and returns the result. Does not accept epoch formatted dates as input.

to_date (date_sold, '%Y-%m-%d')

to_double

Returns the input as a double data type.

to_double ('3.14') = 3.14

to_double (revenue * .01)

to_integer

Returns the input as an integer.

to_integer ('45') + 1 = 46

to_integer (price + tax - cost)

to_string

Returns the input as a text string. To convert a date data type to a string data type, specify the date format you want to use in the second argument (for example, to_string ( <date column> , "%Y-%m-%d" )). Use strftime for the date format.

to_string (45 + 1) = '46'

to_string (revenue - cost)

to_string (date,'%m/%d/%y')
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