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Question1

Question1

Question1

Read adult.csv data set (This is on the web) :
- Exclude rows where marital-status is missing.
On the remaining rows:
- Extract rows where marital-status = "Never-married"
- Extract rows where marital-status = "Divorced" AND 20 <= age <= 40 AND workclass starts with "S"
- Remove column "marital-status
- Keep only column "marital-status"
- Keep only String columns using a Column Filter node and then only column "marital-status" using a Reference Column Filter node

reading adult.csvexclude missing marital-statusmarital-status = "Never-married"remove "marital-status"keep only "marital-status"keep onlycolumns asreference tablereference Tablekeep only string columnsworkclass = S*start with Smarital-status =" Divorced" 20 <= age <= 40 File Reader Row Filter Row Filter Column Filter Column Filter ReferenceColumn Filter Table Creator Column Filter Row Filter Row Filter Row Filter reading adult.csvexclude missing marital-statusmarital-status = "Never-married"remove "marital-status"keep only "marital-status"keep onlycolumns asreference tablereference Tablekeep only string columnsworkclass = S*start with Smarital-status =" Divorced" 20 <= age <= 40 File Reader Row Filter Row Filter Column Filter Column Filter ReferenceColumn Filter Table Creator Column Filter Row Filter Row Filter Row Filter

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Created by: byasar
Created at: 2020-04-11
On NodePit since: 2020-04-19
Last update: 2024-04-26
Created with KNIME version: v4.1.1

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