The exported data may be transformed e.g. to adapt them to a format demanded by the user. Click on the button to open a window as shown below.
Here you can enter 6 types of transformation that should be applied to your data. Cut out parts, Translate contents from the file, RegEx apply regular expressions or Replace text and apply Calculations or Filters on the data from the file. All transformations will be applied in the sequence they had been entered. Finally, if a prefix and/or a postfix are defined, these will be added after the transformation. To remove a transformation, select it and click on the button.
With the cut transformation you can restrict the data taken from the file to a part of the text in the file. This is done by splitters and the position after splitting. In the example below, the month of a date should be extracted from the information. To achieve this, the splitter '.' is added and then the position set to 2. You can change the direction of the sequence with the button Seq starting at the first position and starting at the last position. Click on the button Test the transformation to see the result of your transformation.
With the Start at Pos. option the given splitters will be conterted into space (' ') and the whole string starting with the given position will be used (see below).
The translate transformation translates values from the file into values entered by the user. In the example above, the values of the month should be translated from roman into numeric notation. To do this click on the button to add a translation transformation (see below). To list all different values present in the data, click on the button. A list as shown below will be created. You may as well use the and buttons to add or remove values from the list or the button to clear the list. Then enter the translations as shown below. Use the save button to save entries and the Test the transformation button to see the result.
To load a predefined list for the transformation use the button. A window as shown below will open. Choose the Encoding of the data in your translation source and indicate if the First line contains column definition. Click OK to use the values from the file for the translation.
The transformation using regular expressions will transform the values according to the entered Regular expression and Replace by v values. For more details please see documentations about regular expressions.
The replacement transformation replaces any text in the data by a text specified by the user. In the example shown below, the text "." is replaced by "-".
The calculation transformation performs a calculation on numeric value, dependent on an optional condition. In the example below, 2 calculations were applied to convert 2-digit values into 4 digit years.
The filter transformation compares the values from the data with a value entered by the user. As a result you can either Export content intofont> file or Export fixed value. To select another column that should be compared, click on the button and choose a column from the file in the window that will open. If the column that should be compared is not the column of the transformation, the number of the column will be shown instead of the symbol. To add further filter conditions use the button. For the combination of the conditions you can choose among AND and OR.