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
Автор: G. David Garson
Издательство: Routledge
Год: 2022
Страниц: 705
Язык: английский
Формат: pdf (true)
Размер: 23.9 MB
Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests.