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Exercise1

Chapter 4 / Exercise 1
Workflow: Chapter4/Exercise1 This exercise is about applying some DateTimeManipulation nodes. Node 5# cars sold andsum(amount) ofmoney made byMonth# cars sold andsum(amount) ofmoney made byWeekdayrm rows withmissing valuesextract year, month, dayday of weekExtract data rows falling intime window30.03.2009 - 30.03.2011rm timesbecause they are all 12:00Add a sale date to 170 car data rows. Sales dates are between 30.Jun.2008 and 30.Jun.2011date_time_ex2.csvto be used in exercise 2cars-85.csv Joiner GroupBy GroupBy Missing Value Extract Date&TimeFields Date&Time-basedRow Filter Modify Time Create Date&TimeRange CSV Writer CSV Reader Workflow: Chapter4/Exercise1 This exercise is about applying some DateTimeManipulation nodes. Node 5# cars sold andsum(amount) ofmoney made byMonth# cars sold andsum(amount) ofmoney made byWeekdayrm rows withmissing valuesextract year, month, dayday of weekExtract data rows falling intime window30.03.2009 - 30.03.2011rm timesbecause they are all 12:00Add a sale date to 170 car data rows. Sales dates are between 30.Jun.2008 and 30.Jun.2011date_time_ex2.csvto be used in exercise 2cars-85.csvJoiner GroupBy GroupBy Missing Value Extract Date&TimeFields Date&Time-basedRow Filter Modify Time Create Date&TimeRange CSV Writer CSV Reader

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On NodePit since: 2021-02-22
Last update: 2024-04-27
Created with KNIME version: v4.3.1
Tags: BooksKNIME Advanced LuckDate TimeDateTimeexercise

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