Author Description

Data engineering lays the groundwork to make data science possible by facilitating the flow of data through an organization. With this first edition, authors Michel Ballings and Dirk Van den Poel share their course materials beyond their university students for the first time. This book provides a side-by-side comparison of how to accomplish tasks in R, Python and SQL. Topics covered include installing and loading external modules, subsetting, memory monitoring and management, reading and exploring data, handling missing values, using operators, conditional processing, timing code, iterating, creating indicator variables, aggregating and stacking, merging, working with dates and all main data types, creating functions and methods, speeding up code, and more. Throughout the years Michel and Dirk have kept this book on their desks to refresh their memories on how to complete certain data engineering tasks. They hope this book earns a place on your desk too.