Exploring Data



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.


Data Visualization Interactive Plot Computational Thinking Color Palette Business Analytic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • A. Ohri
    • 1
  1. 1.Founder-Decisionstats.comDelhiIndia

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