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Topic starter
22/12/2022 12:09 pm
Step 1: Once data has been imported, click on data preparation. (Refer to the image below).
Step 2: Drag and drop the outlier treatment node onto the main screen. Connect the two nodes. (Refer to the image below).
Step 3: Once a successful connection is made between ‘data import and outlier treatment’, click on the select button. An outlier treatment pop-up appears with the columns present in the data. Click on ‘Apply’. (Refer to the image below).
Step 4: Click on IQR (Inter Quartile Range). The user needs to add range for dropping the rows which lie above or below the given quantiles. (Refer to the image below).
Step 5: Click on ‘Z-score Normalization’ to normalize the numeric data.
Step 6: Click on ‘Winsorization’ to impute the outlier values by giving the range. (Refer to the image below).
Note: The user can run the workflow for individual nodes as well.