Merge
DataPrep allows you to merge the columns based on specified conditions.
You can combine multiple columns into one column using the
Merge
operation.
You can merge two or more columns and insert a separator between the values of the columns being merged.
For example, when you have two columns, such as first name and last name, you can merge them into one column as full name.
To perform merge
1. Right-click on the column name and select the
Merge
option from the context menu.
2. Enter a name under
New column name
.
3. Enter the separator. A separator can be a single character (such as a space) or multiple characters (@.com).
4. Select the column to be merged with the selected column and click
Apply
.
5. When merging multiple columns, you can specify a different separator between each column.
6. Click the
icon to add another column to merge.
icon to add another column to merge.
7. DataPrep gives you a live preview of the Merge operation.
8. You can select the
Delete original columns after merge
checkbox to delete all the original columns once the merge is complete.
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.
To sort data
Under the Sort tab, you can sort data in the ascending or descending order based on any column. You can choose the column in the Sort by column drop down and choose the order to be sorted.
You can use this functionality only with the transform and not as a standalone function. However, you can use the Sort transform if you want only to sort data.
SEE ALSO
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