Editing datasets

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

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

To find and replace:

1. Click the Find and Replace icon .
2. Enter the content that you want to search in the Find field.
3. Enter the content that you want to replace in the Replace field.
4. Select any or all the following options to find and replace the content more effectively:
   • Select the Case sensitive check box to find the content that is the exact letter case of the content entered in the Find field.
   • Select the Match entire cell contents check box to find and replace for cells that contain only the characters that you have entered in the Find and Replace fields.
   • Select the Search using regular expression check box to find and replace the pattern that matches strings.
5. Click Replace to replace the individual instances.
6. Click Replace All 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 undoes anything you do in the dataset. The CSV Editor saves the unlimited undo-able 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 CSV Editor saves the unlimited redo action.

1. Click the Import icon .
2. Click Choose File and select the CSV file that you want to import in the Import File 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. Click Overwrite to add the rows and columns from the selected CSV file from the beginning of the dataset.
4. Optional. Click Append to add rows and columns from the selected CSV file to the end of the dataset.
5. Optional. Select the First row contains headers check box if your CSV file contains the header.

When rows are deleted:

If you delete any row between row 1 to 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 to 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 to 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. Click the Menu icon , and then select the Configure option.

2. Select any of the separator values that you used in the CSV file.

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

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

   • Column header - Use an up-down control button to increment or decrement the value of the column header.

   • Data start point - Use an up-down control button to increment or decrement the value of the data starting pointer.

   • Current row - Use an up-down control button to increment or decrement the value of the current row.

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

   • Treat as null - Enter a string value that is to be treated as null when running the test.

   • Treat as empty - Enter a string value that is to be treated as empty when running the test.

     For example, when you run the test and the data 123 in the dataset to be treated as empty, then you can specify 123 in the Treat as empty field.

   • Treat empty text as null - Select this field when you want the dataset that contains any blank cells, and the value of those blank cells to be interpreted as null.

5. Click Update to apply the changes.