A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R

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A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R

2017 | Science & Mathematics

Getting data into shape so that the modelling can begin is, as all practitioners know, a time-consuming and difficult process. A Data Scientist's Guide to Acquiring, Cleaning and Managing Data in R addresses what data is and how to manipulate it; acquiring data (web scraping, reading databases, fixed-width, XML), topics in data handling (text/regular expressions, big data, parallel processing; merging, matching, checking for duplicates), and record-keeping (audit trails, getting data back out of R, etc.). An invaluable source for practitioners who collect and analyse data, as well as lab scientists, reserach associates and graduate students.



Published by John Wiley & Sons Inc

Edition Unknown
ISBN 9781119080022
Language N/A

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