Data wrangling, also known as data munging is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This process typically includes manually converting and mapping data from one raw form into another format to allow for more convenient consumption and organization of the data.The goal of data wrangling is to assure quality and useful data. The global data wrangling market size was valued at $1,458.69 million in 2018 & is projected to reach $5,581.18 million by 2026, growing at a CAGR of 18.40%.
