Why is data wrangling important in data science?

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Nestor Paucek asked a question: Why is data wrangling important in data science?
Asked By: Nestor Paucek
Date created: Tue, Aug 10, 2021 8:05 PM
Date updated: Wed, Aug 24, 2022 7:58 AM

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Top best answers to the question «Why is data wrangling important in data science»

  • The steps that convert data from its raw form to the tidy form is called data wrangling. This process is a critical step for any data scientist. Knowing how to wrangle and clean data will enable you to make critical insights that would otherwise be hidden.

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