March 2024
Intermediate to advanced
592 pages
14h 8m
German
Content preview from R für Data Science, 2nd EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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KAPITEL 13
Zahlen
Einführung
Numerische Vektoren sind das Rückgrat der Data Science, und Sie haben sie bereits mehrfach in diesem Buch verwendet. Jetzt ist es an der Zeit, sich einen systematischen Überblick darüber zu verschaffen, was man mit ihnen in R machen kann. Damit sind Sie dann für alle zukünftigen Probleme mit numerischen Vektoren gut gerüstet.
Als Erstes stellen wir Ihnen ein paar Tools vor, mit denen Sie aus Zeichenketten Zahlen machen können, und gehen dann etwas ausführlicher auf count() ein. Anschließend befassen wir uns eingehend mit verschiedenen numerischen Transformationen, die sich gut mit mutate() kombinieren lassen, einschließlich allgemeinerer Transformationen, die auf andere Arten von Vektoren anwendbar sind, aber oft ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.