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R für Data Science
book

R für Data Science

by Garrett Grolemund, Hadley Wickham
November 2017
Intermediate to advanced
502 pages
11h 21m
German
dpunkt
Content preview from R für Data Science

KAPITEL 9

Daten aufbereiten mit tidyr

Einführung

Happy families are all alike; every unhappy family is unhappy in its own way.

– Leo Tolstoy

Tidy datasets are all alike, but every messy dataset is messy in its own way.

– Hadley Wickham

In diesem Kapitel lernen Sie eine konsistente Methode kennen, um Daten in R zu organisieren – eine Organisation die man als aufbereitete Daten (tidy data) bezeichnet. Um Ihre Daten in dieses Format zu bekommen, müssen Sie vorab etwas Arbeit investieren, die sich jedoch auf lange Sicht auszahlt. Nachdem Sie über bereinigte Daten und Tools zum Bereinigen verfügen, die die Pakete im Tidyverse bereitstellen, müssen Sie viel weniger Zeit investieren, um Daten von einer Darstellung in eine andere zu überführen. Folglich ...

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Publisher Resources

ISBN: 9781492065432