Did you know that a study by Gartner confirmed that bad quality data costs an average of $12.9 million to organizations?
To get rid of it, data wrangling is evolved. Let’s understand what it is.
Data wrangling is also known as data cleansing, which facilitates restructuring, enriching, and standardizing datasets so that they can be transformed. This data transformation practice helps in preparing data for quick analysis.