Abstract
While Chap. 4 dealt with getting your data in shape for processing (or, as it is commonly known, data preprocessing), in this chapter we actually start the process of looking at slices of data for generating various insights. We will emphasize the need for data visualization both as an acknowledgement of growing demands of data volume and easy understandability by business audiences. The fact that R currently has one of the most advanced graphical libraries also helps. We will be using basic graphical capabilities but will also briefly touch on advanced customization using the acclaimed ggplot2 package.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media New York
About this chapter
Cite this chapter
Ohri, A. (2012). Exploring Data. In: R for Business Analytics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4343-8_5
Download citation
DOI: https://doi.org/10.1007/978-1-4614-4343-8_5
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4342-1
Online ISBN: 978-1-4614-4343-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)