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What is the Best Way to Develop a Data Cleaning Plan for a Complex Dataset?

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18 Dec 2023CPOL3 min read 2.6K   4  
Step-by-step guide on data-cleaning
The article introduces step-by-step guide to developing a robust data cleaning plan. It emphasizes a strategic and meticulous approach, offering insights drawn from extensive project experience. The guide covers essential aspects such as considering data as meaningful information, creating a project canvas model, defining clear end goals, aligning cleaning with objectives, proposing a structured goal definition approach, focusing on key elements of a cleansing plan, highlighting success factors, emphasizing validation and verification, advocating for an iterative process, and recommending the utilization of advanced tools.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Oliver Kohl D.Sc.
Austria Austria
https://www.conteco.gmbh

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