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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 byWeekdaydate_time_ex2.csvto be used in exercise 2cars-85.csvrm 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.2011 Joiner GroupBy GroupBy CSV Writer File Reader Missing Value Extract Date&TimeFields Date&Time-basedRow Filter Modify Time Create Date&TimeRange 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 byWeekdaydate_time_ex2.csvto be used in exercise 2cars-85.csvrm 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.2011Joiner GroupBy GroupBy CSV Writer File Reader Missing Value Extract Date&TimeFields Date&Time-basedRow Filter Modify Time Create Date&TimeRange

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On NodePit since: 2020-05-26
Last update: 2024-04-26
Created with KNIME version: v4.1.2
Tags: BooksKNIME Advanced LuckDate TimeDateTimeexercise

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