# 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.
{% tabs %}
{% tab title="Integer" %}
Whole numbers.
*Examples:*
* `0`
* `-1`
* `99999999`
{% endtab %}
{% tab title="Decimal" %}
Numbers with a decimal point.
*Examples:*
* `0.1`
* `-0.1243`
* `11.78`
{% endtab %}
{% tab title="Decimal with precision" %}
Number of digits after decimal point.
*Examples:*
* precision `1.0`: 12.3
* precision `1.00:` 22.74
* precision `1.000000:` 0.851789
{% endtab %}
{% tab title="Percent" %}
Percent representation of a numerical value. Can be used with precision
*Examples:*
* `0.2%`
* `99%`
* `-11%`
{% endtab %}
{% tab title="Currency" %}
Currency representation of a numerical value. Can be used with precision
*Examples:*
* `$10`
* `UAH 12`
* `£2`
{% endtab %}
{% endtabs %}
### 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).
{% tabs %}
{% tab title="Date" %}
*Examples*
* `2017-05-06`
* `1987-02-27`
{% endtab %}
{% tab title="DateTime" %}
*Examples:*
* `2023-07-11T14:10:33.682Z`
* `2023-07-11T13:20:38.489Z`
{% endtab %}
{% tab title="Time Zone" %}
When dealing with Date or DateTime types, you would even have the option to specify which Time Zone to follow:
{% endtab %}
{% endtabs %}
### Boolean
Boolean type that has one of two possible logical values: true or false.
**Examples:**
* `TRUE`
* `false`
* `0`
* `t`
