How do you show the value of data cleaning for analysis?
Data cleaning is the process of identifying and correcting errors, inconsistencies, and outliers in raw data sets before analysis. It is often considered a tedious and time-consuming task, but it is also essential for ensuring the quality and reliability of the results. In this article, you will learn how to show the value of data cleaning for analysis using four strategies:
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Joe Perez ("Dr. Joe")?LinkedIn Top Voice ?Internat'l Keynote Speaker ?CTO? ??? ?Best-selling Author??Senior Systems Specialist ??? ? ?…
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Jenny SiedeVirtual Fit ??Product Design + Development | Pattern/Grading/Sourcing | Custom Workwear
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Merijn CampsteynChief Technology Officer @ Deloitte BE A&A | Data and AI enthousiast