Data Wrangling is the process of gathering, selecting, and transforming data to answer an analytical question.  Also known as data cleaning or “munging”, legend has it that this wrangling costs analytics professionals as much as 80% of their time, leaving only 20% for exploration and modeling. Why does it take so long to wrangle the data so that it is usable for analytics?