Data Manipulation
This directory contains 14 workflows.
Column Filter (by Index)
This component allows to filter columns by their index (i.e. position). An example can be: select the second and the last columns (e.g. with "2,-1"), or […]
Column Name Editor
This component allows to filter columns and rename column names of a dataset. The workflow processes automatically all columns and shows them in the output […]
Interactive Data Cleaning
This KNIME component allows you to apply various data cleaning steps interactively. Default configuration will implement cleaning of missing values and […]
Invert Category Sign
This component inverts the signs of the values attached to given categories. You select the value column to invert the signs from, the categories with the […]
Python Transform
This Component transforms values of the user selected columns to normalized values by standardizing them across their mean values. The Component uses the […]
Python Transform (Apply)
This Component transforms values of the columns to normalized values by using the pickled object provided at input. This Component has to be used along with […]
Python Transform (Load)
This Component loads the pickled object that is created by the Verified Component Python Transform [ kni.me/c/KwccMRKudBpcML_- ] and saved via the Python […]
Quantile Normalization
This component implements quantile normalization, which is a technique to make two distributions identical in statistical properties. See […]
Synthetic Data Generator (Classification)
This component generates example data for classification tasks based on the make_classification() function in the Python scikit-learn library. The […]
Synthetic Data Generator (Clustering)
This component generates example data for a clustering task based on the make_blobs() function in the Python scikit-learn library. For more information see […]