Asked By: Nestor Paucek
Date created: Tue, Aug 10, 2021 8:05 PM
Date updated: Wed, Aug 24, 2022 7:58 AM
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.