1.1 Data Wrangling
Data wrangling is defined by Wikipedia (http://en.wikipedia.org/wiki/Data_wrangling) as the process of manually converting or mapping data from one “raw” form into another format that allows for more convenient consumption of the data with the help of semi-automated tools.
Those who do this are data wranglers.
In this introductory chapter we present the concepts of data science, Analytics, and the role and toolkit of the data scientist. We identify the progression from data Technician, through data analyst and data miner, to data scientist. The remaining chapters of this book then provide a guide to the key tools for doing data science in a hands-on manner through the most powerful software system for doing data science called R (R Core Team 2026). R is today supported by all of the major vendors and is the backbone of the emerging data science platforms in the cloud.
References
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