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For the complete documentation index, see llms.txt. This page is also available as Markdown.

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 value

  • string

  • 123text

  • Hello!

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

  • -1

  • 99999999

Numbers with a decimal point.

Examples:

  • 0.1

  • -0.1243

  • 11.78

Number of digits after decimal point.

Examples:

  • precision 1.0: 12.3

  • precision 1.00: 22.74

  • precision 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:

  • $10

  • UAH 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

  • 2017-05-06

  • 1987-02-27

Examples:

  • 2023-07-11T14:10:33.682Z

  • 2023-07-11T13:20:38.489Z

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:

  • TRUE

  • false

  • 0

  • t

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