How to count the data occurrence in a column?

Count

DataPrep allows you to count the occurrence of data in a column based on the condition given. You can count the values that match your selection based on the different patterns that fit your selection. 

To count the desired value in a column

1. Right-click the column name and select Count from the context menu.

2. Enter the new name for the column under the New column name field in the operations pane.

3. Select an option from the Count options dropdown, based on which the value in the column will be selected for counting. The options available are:  
  1. Matching text or pattern
  2. Regex
4. Matching text or pattern: This options requires you to provide the text or pattern in the following fields that would match a portion of the cell value or all of it to count. 
  1. Text or pattern to match: Count the occurrences of the given text or pattern.
  2. Starting text or pattern: Count the value starting from the given text or pattern.
  3. Ending text or pattern: Count the value ending before the given text or pattern. 
Note: If you are not familiar with pattern matching in DataPrep, read about it here.

5. Regex (regular expression): This option requires you to enter the regex of the value which you want to count. 

6. You can check the Ignore case checkbox to ignore case when matching the text or pattern. 



7. DataPrep shows a live preview of the column during the transformation.

8. You can apply this transform to multiple columns at the same time. Select the columns using the + icon under the Columns to apply section. 

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:
  1. Actual: This option lets you filter rows based on the actual values in the column. Click here to know more.
  2. Data quality: This option lets you filter rows based on the quality of data in the column. Click here to know more.
  3. Patterns: This option helps you filter rows based on the data patterns in the selected column. Click here to know more.
  4. Seasonal: This option helps you filter rows based on the seasonal parameters such as quarter, month, week, etc. Click here to know more.
  5. 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.
  1. 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. 
  1. 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.

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