Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text

by Taylor Arnold

​Set-up.- A Short Introduction to R.- EDA I Continuous and Categorical Data.- EDA II Multivariate Analysis.- EDA III Advanced Graphics.- Networks.- Geospatial Data.- Image Data.- Natural Language Processing.- Text Analysis.- Appendix.

228 pages, Paperback

First published January 1, 2015

Reviews

[Grace · Rating 3 out of 5]

Not super accessible for a beginner; some mistakes in the sample code make it even more difficult. I found the focus to be strange sometimes as well. Overall, not a perfect introduction, but a good broad overview. Specifically for text analysis, Jockers' book provides a clearer intro.

[Kristin · Rating 2 out of 5]

Provides examples and sample datasets, but doesn't do a very good job of providing a template of how to create or work with your own data. The examples don't make clear which commands are specific to their examples, which are variables, and which are actual commands.