Data wrangling is the process of converting raw data into another valuable format with the purpose of making it more appropriate for advance tasks such as machine learning and data analytics. The primary goal of data wrangling is to provide help to the organizations to reduce the time spent on collecting and arranging data. In addition, data wrangling helps data scientists to focus mainly on analysis rather than focusing on wrangling of data.