Mapping table: this table lists the modalities of the variables that have been transformed.
If the option "Anonymized variables" has been chosen, then the variable labels are presented in their anonymous form. They are displayed in the same order as the original data. Original data: this table groups together all the selected data as displayed in the datasheet.Īnonymized data: this table groups together all the data that has been anonymized. To complete the tool, you have the option of anonymizing variable labels. This specifies the original value of the variables to be replaced in the left column and the new values in the right column. Here the data is replaced by new values provided by a mapping table. INTRODUCTION The rank transform is a simple procedure where the data are merely replaced with their correspond-ing ranks, i.e., assign rank 1 to the smallest observa-tion and continue to rank N for the largest observa-tion. This string is used as many times as the modality appears in the dataset. Rank transform Winsorization Monte Carlo Least squares Predicted residuals 1. For qualitative variables, the modalities are replaced by a string of randomly selected characters. Thus they remain in the same scale as the initial data. For a quantitative variable, the values are randomly mixed. This method varies depending on the variable type. The number associated with a modality appears as many times as the modality appears in the dataset, so the resulting file a numerical.
The modalities of all selected variables are replaced by a sequentially selected integer starting at 1. XLSTAT allows to transform your quantitative and qualitative data according to three methods. All three can be applied to both quantitative and qualitative data. The scatterplots in Exhibit 1.1 and Exhibit. Information- transforming nature of the display. It’s a good idea to transform sensitive private data before you share it. There are three possible methods: sequential, random and mapping. coordinates 15 and 15, corresponding to a total grade of 30.
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