# 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**

<figure><img src="/files/tNEDoyfuko1Iz435jApa" alt=""><figcaption><p>Filter rows - input</p></figcaption></figure>

**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**

<figure><img src="/files/GaHUwqNAmSTnVyjkbN0C" alt=""><figcaption><p>Filter - filter rows - output</p></figcaption></figure>

{% 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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