An Introduction to Data Wrangling and Analysis

Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out, says Martin Heller.

In fact, data wrangling (also called data cleansing and data munging) and exploratory data analysis often consume 80% of a data scientist’s time.

Learn more at InfoWorld.