Reseller News Join Reseller News Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.Sign up now Interpreting data wrangling and exploratory data Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out Credit: Dreamstime Novice data scientists sometimes have the notion that all they need to do is to find the right model for their data and then fit it. Nothing could be farther from the actual practice of data science. In fact, data wrangling (also called data cleansing and data munging) and exploratory data analysis often consume 80 per cent of a data scientist’s time.