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# Filter rows
The Filter step allows you to selectively include or exclude rows from your dataset based on specified conditions. This step is part of a data processing pipeline and can be used to modify data coming from datasets represented in rows and columns.
### Step parameters
**Condition**: This is where you define your filtering criteria. You can create three types of conditions:
* **Simple condition\***:
* `Column`**(string)\***: Enter the name of the column you want to filter on.
* `Operator`**\[operators]\***: Choose an operator to filter your data. defaults to `eq`
* `Value`**\***: Enter the value to compare against (not required for `isnull` and `notnull` operators).
* **ADD CONDITION** : Combine multiple simple conditions that you can bind by either an "AND" or "OR" logical operator
* **ADD GROUP ()**: Add a group of simple conditions that you can bind by either an "AND" or "OR" logical operator. Note that you cannot nest a group of conditions in another group.
### Example
**Input**
Filter rows - input
**Configuration**
```json
{
"condition": {
"OR": [
{
"column": "department",
"value": "IT",
"operator": "eq"
},
{
"column": "country",
"value": "Canada",
"operator": "eq"
}
]
}
```
{% hint style="info" %}
Rows meeting any of these conditions will appear in the filter's output
{% endhint %}
**Output**
Filter - filter rows - output
{% hint style="info" %}
**\[Operators]**
The following operators are available for conditions:
* `eq` (equals)
* `ne` (doesn't equal to)
* `gt` (is greater than)
* `ge` (is greater than or equal to)
* `lt` (is less than)
* `le` (is less than or equal to)
* `in` (is one of)
* `nin` (is not one of)
* `matches` (matches pattern)
* `notmatches` (doesn't match pattern)
* `isnull` (is null)
* `notnull` (is not null)
* `from` (starting in/on)
* `until` (ending in/on)
`matches` and `notmatches` operators are used to test value against a regular expression.
{% endhint %}
{% hint style="info" %}
**Values**
`value` can be an arbitrary value depending on the selected operator (e.g a list when used with the `in` operator, or `null` when used with the `isnull` operator).
Value can be:
* a variable or
* a fixed value among
* `date`,
* `string`,
* `int`,
* `float`,
* `array`
For date only `starting in/on`, `ending in/on`, `is null` ,`is not null` are available
{% endhint %}
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