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04 Data Transformation

04 Data Transformation
Exercise: Data Transformation1) Read the adult.csv file by executing the File Reader node2) Create a new column "work-status" with the value "full-time" if the weekly workinghours are >=40 and "part-time" otherwise3) Replace the hyphen in "United-States" by a space character in the "native-country"column4) Create a new column "year-of-birth" by substracting the age number from 1994,which is the year when the data were collected 5) OPTIONAL: Replicate the tasks 3 & 4 with the Column Expressions node6) Take a look at the first row in the data table (ID 177) after completing the datatransformation operations. What is the work status, native country, and year of birth ofthis person? Read adult.csvnew column work statusno more "-"new column year birthmore compressed File Reader Rule Engine String Manipulation Math Formula Column Expressions Exercise: Data Transformation1) Read the adult.csv file by executing the File Reader node2) Create a new column "work-status" with the value "full-time" if the weekly workinghours are >=40 and "part-time" otherwise3) Replace the hyphen in "United-States" by a space character in the "native-country"column4) Create a new column "year-of-birth" by substracting the age number from 1994,which is the year when the data were collected 5) OPTIONAL: Replicate the tasks 3 & 4 with the Column Expressions node6) Take a look at the first row in the data table (ID 177) after completing the datatransformation operations. What is the work status, native country, and year of birth ofthis person? Read adult.csvnew column work statusno more "-"new column year birthmore compressed File Reader Rule Engine String Manipulation Math Formula Column Expressions

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Created by: Maarit Laukkanen
Created at: 2020-04-20
On NodePit since: 2022-02-27
Last update: 2024-12-17
Created with KNIME version: v4.3.2
Tags: rule enginestring manipulationmath formulacolumn expressions

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