November 2017
Intermediate to advanced
502 pages
11h 21m
German
Content preview from R für Data ScienceBecome 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 5
Explorative Datenanalyse
Einführung
Dieses Kapitel zeigt, wie Sie Visualisierung und Transformation einsetzen, um die Daten systematisch zu erkunden. Statistiker bezeichnen diese Aufgabe als explorative Datenanalyse, kurz EDA.
EDA ist ein iterativer Zyklus, in dem Sie
- Fragen über Ihre Daten erzeugen,
- nach Antworten suchen, indem Sie die Daten visualisieren, transformieren und modellieren,
- die Erkenntnisse nutzen, um die Fragen zu verfeinern und/oder neue Fragen zu generieren.
EDA ist kein formaler Prozess mit einem strengen Satz von Regeln. Vor allen Dingen kommt es hier mehr auf ein gutes Bauchgefühl an. In den Anfangsphasen von EDA sollten Sie jede Idee, die Ihnen in den Sinn kommt, ohne Einschränkungen untersuchen. Manche dieser ...
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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.