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02 Cleaning and Standardization

Cleaning and Standardization - Exercise

This workflow shows a hands-on exercise in the L1-DS Introduction to KNIME Analytics Platform for Data Scientists - Basics course

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 the value "full-time" if the weeklyworking 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 datawere collected 4. OPTIONAL: Replicate the tasks 3 & 4 with the Column Expressions node Node 35Node 36adult.csvRead adult_education.tableNode 27Node 28Node 29Node 30Node 31Node 32Node 33Node 34 Column Filter Column Filter CSV Reader Table Reader Row Filter Row Filter Row Filter Row Filter Row Filter Rule Engine String Manipulation Math Formula 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 the value "full-time" if the weeklyworking 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 datawere collected 4. OPTIONAL: Replicate the tasks 3 & 4 with the Column Expressions node Node 35Node 36adult.csvRead adult_education.tableNode 27Node 28Node 29Node 30Node 31Node 32Node 33Node 34 Column Filter Column Filter CSV Reader Table Reader Row Filter Row Filter Row Filter Row Filter Row Filter Rule Engine String Manipulation Math Formula

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Maarit Laukkanen
Created at: 2020-04-20
On NodePit since: 2023-02-26
Last update: 2024-11-23
Created with KNIME version: v4.7.0
Tags: row filtercolumn filterrule enginecolumn expressionseducation

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