In this chapter, we focused on how to transform raw data into an appropriately structured format, before we could run statistical tests. This process is a really important part of our everyday actions, and it takes most of a data scientist's time. But after reading this chapter, you should be confident in how to restructure your data in most cases— so, this is the right time to focus on building some models, which we will do in the next chapter.
Mastering Data analysis with R
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Mastering Data analysis with R
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Overview of this book
Table of Contents (19 chapters)
Mastering Data Analysis with R
Credits
www.PacktPub.com
Preface
Free Chapter
Hello, Data!
Getting Data from the Web
Filtering and Summarizing Data
Restructuring Data
Building Models (authored by Renata Nemeth and Gergely Toth)
Beyond the Linear Trend Line (authored by Renata Nemeth and Gergely Toth)
Unstructured Data
Polishing Data
From Big to Small Data
Classification and Clustering
Social Network Analysis of the R Ecosystem
Analyzing Time-series
Data Around Us
Analyzing the R Community
References
Customer Reviews