This short chapter introduced a new data structure in the form of graph datasets, and we visualized small networks with various R packages, including static and interactive methods as well. In the next two chapters, we will familiarize ourselves with two other frequently used data types: first we will analyze temporal, then spatial data.
Mastering Data analysis with R
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Mastering Data analysis with R
By:
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