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For certain datasets, 0 and 1 have a clear meaning. Representing 0 as nothing is simply invalid. Furthermore, I would always show the actual data and not erase it.
Clear example is Econometrics in which 0 = False and 1 = True while the following screenshot shows blank fields instead.
The text was updated successfully, but these errors were encountered:
For certain datasets, 0 and 1 have a clear meaning. Representing 0 as nothing is simply invalid. Furthermore, I would always show the actual data and not erase it.
Clear example is Econometrics in which 0 = False and 1 = True while the following screenshot shows blank fields instead.
The text was updated successfully, but these errors were encountered: