Synthace offers three types of predefined data transformation: Log, Box-Cox and Yeo-Johnson. You can find more information on the statistics behind these options here.
How to use the predefined data transformations
To transform the data using Log, Box-Cox or Yeo-Johnson, first navigate to the Select & Transform tab.
Performing a data transformation
On the left hand side of the page, from the Response or Transformation dropdown menu, choose the response which is to be transformed (e.g. ’R1’).
Underneath the menu, click Copy.
This will trigger a prompt to provide a name for the response which is to be copied (e.g. ‘R1 transformed’). It is advisable to do so, in order to leave the original response (’R1’) unaltered when proceeding with the transformation.
From the Apply new transform dropdown menu, choose the desired type of transformation.
For Box-Cox and Yeo-Johnson, adjust the value of λ from the slider.
When satisfied with the transformation, click Save under the Response or Transformation dropdown menu.
Alternatively, clicking Save As will provide the opportunity to rename the transformation.
If unsatisfied with the transformation, clicking Cancel will cancel all unsaved edits.
Well done for making it to the end of this tutorial.
To learn about the statistics behind transformations, click here.
To learn to select and save subsets of your data, click here.
To learn how to apply predefined column based calculations to your data, click here.
To learn how to apply custom column based calculations to your data, click here.
To learn how to explore your models and make predictions, click here.