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Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected. It's a foundational step in datapreparation, setting the stage for meaningful and reliable insights and decision-making. Let's explore these essential tools.
The various steps involved in the dataanalysis process include – Data Exploration – Having identified the business problem, a data analyst has to go through the data provided by the client to analyse the root cause of the problem. Having different value representations and misclassified data.
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