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LAB 3 Part 2

Task 1: Row Filtering1. Read the adult.csv file by executing the CSV Reader node2. Filter out rows where the marital status is missing3. Extract rows where - the marital status is divorced- the marital status is never married and age is between 20 and 40 (both included)- the workclass starts with "S" Task 2: Column Filtering1. Read the adult_education.table file by executing the Table Reader node2. Exclude the "education-num" column- manually- by including only string type columns Task 3: Data Transformation1. Work with the adult.csv data again and create a new column "work-status" with thevalue "full-time" if the weekly working hours are >=40 and "part-time" otherwise2. Replace the hyphen in "United-States" by a space character in the "native-country"column3. Create a new column "year-of-birth" by substracting the age number from 1994,which is the year when the data were collected 4. OPTIONAL: Replicate the tasks 3 & 4 with the Column Expressions node Filter out rows seniorsGenderWorkclass starts with "S"DependentPartnerExclude tenureExclude senior, tenure, etc...Create work statuscolumnReplace "Month-to-month" to Monthlyyear-of-birthcolumnComplete the same tasks as aboveTelcoTelco Row Filter Row Filter Row Filter Row Filter Row Filter Column Filter Column Filter Rule Engine String Manipulation Math Formula Column Expressions CSV Reader CSV Reader Task 1: Row Filtering1. Read the adult.csv file by executing the CSV Reader node2. Filter out rows where the marital status is missing3. Extract rows where - the marital status is divorced- the marital status is never married and age is between 20 and 40 (both included)- the workclass starts with "S" Task 2: Column Filtering1. Read the adult_education.table file by executing the Table Reader node2. Exclude the "education-num" column- manually- by including only string type columns Task 3: Data Transformation1. Work with the adult.csv data again and create a new column "work-status" with thevalue "full-time" if the weekly working hours are >=40 and "part-time" otherwise2. Replace the hyphen in "United-States" by a space character in the "native-country"column3. Create a new column "year-of-birth" by substracting the age number from 1994,which is the year when the data were collected 4. OPTIONAL: Replicate the tasks 3 & 4 with the Column Expressions node Filter out rows seniorsGenderWorkclass starts with "S"DependentPartnerExclude tenureExclude senior, tenure, etc...Create work statuscolumnReplace "Month-to-month" to Monthlyyear-of-birthcolumnComplete the same tasks as aboveTelcoTelco Row Filter Row Filter Row Filter Row Filter Row Filter Column Filter Column Filter Rule Engine String Manipulation Math Formula Column Expressions CSV Reader CSV Reader

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Created by: lisah
Created at: 2023-02-24
On NodePit since: 2023-02-26
Last update: 2024-11-14
Created with KNIME version: v4.7.0

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