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Top 3 Reasons Companies Need Data Wrangling
Data Wrangling is a vital process of cleaning, restructuring and enriching available raw data into a more usable format to ensure robust, accurate data analytics. Raw, or unstructured, data goes through a transformation during the wrangling process and is prepared in a new composition. The prepared data is now more valuable, as it can be used for other tools or applications involving, for example, visualizations and predictive analytics.
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