How to fill empty cells in a dataset?

Fill empty cells




DataPrep allows you to fill the empty cells in a column using the Fill empty cells transform.

To fill empty cells

1. Right-click the column name and select the Fill empty cells option from the context menu.

2. Choose one of the following options from the Fill empty cells using section:
  1. Previous cell value - Use this option to fill the empty cells with the previous cell value.
  2. Next cell value - Use this option to fill the empty cells with the next cell value.
  3. Most frequent value - Use this option to fill the empty cells with the value that has occurred maximum number of times in a column.
  4. Average value for the column - Use this option to fill the empty cells with the average value in a numeric column. 
  5. Custom values - Use this option to customize a value such as empty, NA, null, etc. to fill the empty cells.
  6. Formula - Use this option to choose functions and build custom formula expression. To learn more about functions, click here .
DataPrep shows a live preview of the column during the transformation. 

3. After selecting the required option, click Apply.




4. You can also apply this transform to multiple columns. Select the required columns using the    option 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:
  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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