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P1.4.2

Tabled data reading
Combined data manipulation, filtering, and exporatory data statistics
Receives input table and produces basic statistics: Output 0 is a table with numeric values Output 1 is a table with all nominal values histograms Output 2 is a table with all nominal values and their counts
Statistics
Receives input table and produces basic statistics: Output 0 is a table with numeric values Output 1 is a table with all nominal values histograms Output 2 is a table with all nominal values and their counts
Statistics
Receives input table and produces basic statistics: Output 0 is a table with numeric values Output 1 is a table with all nominal values histograms Output 2 is a table with all nominal values and their counts
Statistics
Splits the original table to two: the first has the records with missing values in the workclass column; the other has no such missing values
Rule-based Row Splitter
Row Filter
Aggregates all columns in one column, added to the end. Then counts missing values and adds column at the end with missing values count
Column Aggregator
Column Filter
Males
Row Filter
Filters out columns with at least % missing values
Missing Value Column Filter
Females
Row Filter
Splits the original table to two: the first has the records with missing values in any column; the other has no such missing values
Rule-based Row Splitter
Receives input table and produces basic statistics: Output 0 is a table with numeric values Output 1 is a table with all nominal values histograms Output 2 is a table with all nominal values and their counts
Statistics
CSV Reader

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Created by: chris
Created at: 2021-04-18
On NodePit since: 2026-05-08
Last update: 2026-05-08
Created with KNIME version: v5.8.3

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