Truncate
You can use the
Truncate
operation to remove unnecessary characters or words from the end of text values in your data.
To perform the truncate transform
1. Right-click the column and select the
Truncate
option from the context menu.
2. In the transform panel, you can enter the exact number of characters or words needed to truncate in the text box.
3. Use the dropdown to switch between 'characters' and 'words' for the transform.
4. DataPrep shows a live preview of the transform.
5. You can apply this transform to multiple columns. Select the columns using the
icon under
Columns to apply
.
icon under
Columns to apply
.
To apply filters
If you want to apply some filters along with this transform, you can use the filters functionality.
1. Click the
Filters
tab.
2. Click the
icon and add the required columns in the
Filters
section. You can also reorder the filters using the drag and drop method.
3. For every column added, you can select one of the following options from the drop-down:
- Actual: This option lets you filter rows based on the actual values in the column. Click here to know more.
-
Data quality: This option lets you filter rows based on the quality of data in the column. Click
here
to know more.
- Patterns: This option helps you filter rows based on the data patterns in the selected column. Click here to know more.
-
Seasonal: This option helps you filter rows based on the seasonal parameters such as quarter, month, week, etc. Click
here
to know more.
- Outliers: This option allows you to filter rows based on the outliers present in the data of the selected column. Click here to know more.
Note: The filter options are displayed based on the datatype of the column added for the filter.
4. When you add more than one filter to the
Filters
section, the logical operators, AND or OR appear next to the filters. You can click to toggle the logical operator between AND and OR.
-
Using the logical operators, you can combine the conditions and apply logic to determine the rule of precedence. The final expression is displayed in the
Criteria expression
box. You can click
Edit
to alter the default expression using logical operators and parenthesis to specify the precedence or the sequential order as to which condition should be evaluated first. Click
Save
after making the required changes.
- For example, In the expression, ((1 OR 2) AND (3 OR 4)) , at first the condition ( 1 OR 2 ) will be executed and the condition ( 3 OR 4 ) will be executed next. Thirdly, since, the AND operator is used, the filter will be applied when both the conditions are true.
5. You can further drill down to choose specific values based on the filter option selected for each filter, in the next section.
For example, in the above screenshot, the
Data quality
option is selected for the All columns filter in the
Filters
section. Based on the selection, further options to filter specific values are displayed in the
All columns (Data quality)
section.
6. You can choose to include or exclude the selected items in the last section.
7. If you want to remove all the filters for some reason, you can use the
Clear
button.
8. A live preview of the filter transform is shown as you make changes.
9. Click the
Apply
button to apply the transform along with the filters.
SEE ALSO
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