Data types and formatting
Coupler.io allows user to work with different data types, so you can represent your data appropriately using specified format and use proper filtering / sorting options.
String
String data type stands for alphanumeric characters.
Examples:
this is a string valuestring123textHello!
Number
Number data type stands for numeric values. Coupler.io supports different data types and formats along with precision described below.
Whole numbers.
Examples:
0-199999999
Numbers with a decimal point.
Examples:
0.1-0.124311.78
Number of digits after decimal point.
Examples:
precision
1.0: 12.3precision
1.00:22.74precision
1.000000:0.851789
Percent representation of a numerical value. Can be used with precision
Examples:
0.2%99%-11%
Currency representation of a numerical value. Can be used with precision
Examples:
$10UAH 12£2
Date and DateTime
Stands for date or datetime values.
Make sure that you have in the source needed columns in 'Date' or 'DateTime' ISO format (e.g. YYYY-MM-DD, YYYY-MM-DD HH:mm).
Examples
2017-05-061987-02-27
Examples:
2023-07-11T14:10:33.682Z2023-07-11T13:20:38.489Z
When dealing with Date or DateTime types, you would even have the option to specify which Time Zone to follow:
Boolean
Boolean type that has one of two possible logical values: true or false.
Examples:
TRUEfalse0t
Last updated
Was this helpful?