discover multple categorical columns

This node helps discover multiple categorical columns in the dataset in one go among numeric columns. Many a time data is annonymized with a large number of numerical columns, some of which are, in fact, nominal. In this component, you specify the maximum number of distinct values for a numeric column. If distinct values are equal to or less than that specified, the column would be transformed to string column else not. The outputs of component are possible categorical columns and the rest of dataframe
The component uses 'Python Script' node to perform this function. It needs 'pandas' library.

Input ports

1. Type: Table
   Port 1
   KNIME dataset, as for example from a csv reader.

Output ports

1. Type: Table
   Possible Categorical columns
   These are your numeric columns but possibly categorical
2. Type: Table
   Rest of dataset
   This is the rest of dataset