R für Data Science: Daten importieren, bereinigen, umformen, modellieren und visualisieren - Softcover

 
9783960090502: R für Data Science: Daten importieren, bereinigen, umformen, modellieren und visualisieren

Synopsis

Learn how R can help you gain insights and insights from your raw data. This book introduces you to R and RStudio, as well as in Tidyverse, a collection of R packages that interlock to handle data science issues quickly and effectively. R for Data Science is also suitable for readers without prior programming skills and allows you to apply techniques of data science in practice as quickly as possible.

Authors Hadley Wickham and Garrett Grolemund show how to import, prepare, examine and model data and how to present the results. This gives you a complete overview of the data science cycle and the tools required for detailed work.

Topics of the book are:

  • Explore - Examine data, generate hypotheses, and test them quickly
  • Prepare – transform data volumes into an appropriate form for analysis
  • Programming - Get to know powerful R tools to solve data problems more easily
  • Modeling - Create a summary of a dataset that captures real "signals" in your dataset
  • Communicate - Get to know R Markdown to present text, code and results together

"synopsis" may belong to another edition of this title.