Filter
Use the Filter tool to explore a subset of your data.
Use the Filter tool to explore a subset of your data. Keep data that passes logical tests.
When to use this tool
Use when you want to explore a subset of your data.
Input
The Filter tool requires one data input.
Configuration
Use the following configuration options to help create your Filter configuration.
In Pipe builder, add your data source.
Click +Add Tool.
Click See all tools.
In the search bar, search for Filter. Click Add tool.
Tip
You can also find the Filter tool in the Clean section.
Connect the tool to your data set.
In the configuration pane, enter the following information:
Table 46. Filter tool configurationField
Description
Select a column
Select a column to filter your data with.
Filter category
Select one of the following filters to use:
Equal
Not Equal
Less Than
Less Than or Equal
Greater Than
Greater than or Equal
Starts With
Ends With
Contains
Not Contains
Is Null
Is Not Null
Value or text
Select the value to use, or start typing to find a value.
AND
+ StatementOptionally add an
AND
statement. Filters data based on the specified conditions. Only rows that meet the conditions in allAND
statements will be imported.OR
+ StatementOptionally add an
OR
statement. Filters data based on the specified conditions. Only rows that meet the conditions in allOR
statements will be imported.Switch to advanced
Click to go to advanced filter rules to add a group or statement.
Usage example
In this example, we have a data set that contains customer IDs and an NPS score.
CustomerID | NPS |
---|---|
2453 | 2 |
3243 | 4 |
3452 | 10 |
4324 | 6 |
5324 | 8 |
Let's say we want to explore data only for customers considered "detractors" (a score of 6 or less). We can remove the rows we don't need by using the Filter tool:
In the left side literal or column field, select or type "NPS".
Select or type "Less Than or Equal".
In the right side literal or column field, type "6".
As a result, the data set now looks like this:
CustomerID | NPS |
---|---|
2453 | 2 |
3243 | 4 |
4324 | 6 |