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
Note: Coupler.io uses USD as the default currency. If your data is in a different currency, you can change this in the column settings.
To change the currency: open Data preview, click the 3 lines next to the column name to Edit column, set Format to Currency, then select your currency from the Currency dropdown.
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
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