Editing datasets

1. Click the Find and Replace icon .
2. Enter the text that you want to search in the Find field.
3. Select any or all the following options to find the search content more effectively:
   • Click the Case sensitive icon to search the text that is the exact letter case of the content entered in the Find field.
   • Click the Match entire cell contents icon to search cells that contain only the characters that you entered in the Find field.
   • Click the Search using regular expression icon to search the pattern that matches strings.
     For example, to search for a cell that contains any number between 0 to 9, perform the following steps:

     1. Enter \d in the Find field.
     2. Select the Search using regular expression icon.
     3. Click the Find icon .
4. Click the Find icon . If the text is found, select the cell that contains that text.
5. Click the Find icon again to find further instances of the search text.

To find and replace:

1. Click the Find and Replace icon .
2. Enter the text in the Find field, and then click the Show Replace icon .
3. Enter the text that you want to replace in the Replace field.
4. Select any or all the following options to find and replace the text more effectively:
   • Click the Case sensitive icon to find the text that is the exact letter case of the text entered in the Find field.
   • Click the Match entire cell contents icon to find and replace for cells that contain only the characters that you entered in the Find and Replace fields.
   • Click the Search using regular expression icon to find and replace the pattern that matches strings.
5. Click the Replace icon to replace the individual instances.
6. Click the Replace All icon to replace every instance of the content throughout the dataset.

1. Click the Undo icon .
2. Select the recent changes from the list that you want to undo, and then click the list.

The Undo option reverts the change you made in the dataset. The Dataset Editor saves the unlimited undoable action. You can perform the undo action even after you save your changes made to the dataset.

1. Click the Redo icon .
2. Select the recent changes from the list that you want to redo, and then click the list.

The Dataset Editor saves the unlimited redo action.

1. Click the Import icon , and then select the option Import a CSV file from the drop-down list.
2. Click Select file, and then select the CSV file that you want to import in the Import Dataset dialog.
   Note: If the CSV file contains test data with Unicode characters in it, you must save the CSV file in UTF-8 format. You can then choose the CSV file and import the test data from the CSV file into the dataset.
3. Optional. Switch on the First row contains headers option if your CSV file contains the header.
4. Optional. Switch on the Overwrite existing data option to add the rows and columns from the selected CSV file from the beginning of the dataset.
5. Optional. Switch on the Append existing data option to add rows and columns from the selected CSV file to the end of the dataset.
6. Click Import.

When rows are deleted:

If you delete any row between row 1 and current row, the current row data is taken from the next row.

For example, when you set the current row as 6, and then you delete any row between row 1 and row 6, the current row remains at row 6, but the content of row 7 is moved to row 6.

When rows are inserted:

If you insert any new row between row 1 and the current row, the current row data is taken from the previous row.

For example, when you set the current row as 6, and then you insert any row between row 1 to row 6, the current row remains at row 6, but the content of row 5 is moved to row 6.

1. Select any of the separator values that you used in the CSV file from the Separated by drop-down list.

   The available options are Comma, Semicolon, Space, Tab, and Other. In the CSV file, if you see any other separator characters other than the available options, then you can select the Other option, and then you can specify a value.

   For example, if the data in the CSV file is separated by a character #, then select the Other option and enter # in the field.

2. Configure the following options to change the row and column settings:

   Option	Action
   Column header	Enter the required value of the column header.
   Data start point	Enter the value of the data starting pointer.
   Current row	Enter the value of the current row.

3. Configure the following options to change the string values in the dataset:

   Option	Action
   Treat as null	Enter a string value that is to be treated as null when you run the test.
   Treat as empty	Enter a string value that is to be treated as empty when you run the test. For example, when you run the test and the data 123 in the dataset is to be treated as empty, then you can specify 123 in the Treat as empty field.
   Treat empty text as null	Select the checkbox when you want the dataset that contains any blank cells, and the value of those blank cells to be interpreted as null.