Data Science Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Data Science Introducing R R Constructs R Tasks R Strings R Read, Write, and Create Data Template Data Exploration Data Wrangling Data Visualisation Statistics ML Template ML Scenarios ML Activities ML Applications ML Algorithms Cluster Analysis Decision Trees Computer Vision Graph Data Privacy Literate Data Science Coding with Style Resources Bibliography Index

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Data Wrangling

Data wrangling is defined by Wikipedia 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.^2.1Those 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, 2020). R is today supported by all of the major vendors and is the backbone of the emerging data science platforms in the cloud.