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justKnimeit-14

justKnimeit-14
Challenge 14: Removing Noise from DataDescription: You are working with audio recognition data tables such that each table’s initial and final rowscontain zeroes. These beginning and ending zeroes are irrelevant noise that must be removed. Your goal is toonly remove these unnecessary starting and trailing zeroes. You must keep the zeroes in the middle of thedata, which do not constitute noise. As well, the position of the starting and trailing zeroes differs per datatable, so a good solution probably requires flow variables for flexibility (although there may be other solutionswhich do not involve flow variables). dataLast Index Cal.First IndexFirst Index Cal.Last IndexXORIndicesFilter unnecessary columnsFilter data Table Creator Sorter Lag Column Sorter Math Formula Lag Column Math Formula Missing Value Math Formula Column Filter Row Filter (Labs) Challenge 14: Removing Noise from DataDescription: You are working with audio recognition data tables such that each table’s initial and final rowscontain zeroes. These beginning and ending zeroes are irrelevant noise that must be removed. Your goal is toonly remove these unnecessary starting and trailing zeroes. You must keep the zeroes in the middle of thedata, which do not constitute noise. As well, the position of the starting and trailing zeroes differs per datatable, so a good solution probably requires flow variables for flexibility (although there may be other solutionswhich do not involve flow variables). dataLast Index Cal.First IndexFirst Index Cal.Last IndexXORIndicesFilter unnecessary columnsFilter data Table Creator Sorter Lag Column Sorter Math Formula Lag Column Math Formula Missing Value Math Formula Column Filter Row Filter (Labs)

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