Abstract
In this chapter, we present an introduction to data science and the R programming language along with an overview of the book.
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
Notes
- 1.
At the time of writing, CRAN featured 5763 packages.
References
Big data, for better or worse: 90% of world’s data generated over last two years. www.sciencedaily.com/releases/2013/05/130522085217.htm, May 2013.
Patil, D. J. (2012). Data Jujitsu: The art of turning data into product. O’Reilly Radar.
Drew Conway. The data science venn diagram. http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram.
Casella, G., & Berger, R. (2001). Statistical inference. Duxbury Resource Center.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Pathak, M. (2014). Introduction. In: Beginning Data Science with R. Springer, Cham. https://doi.org/10.1007/978-3-319-12066-9_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-12066-9_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12065-2
Online ISBN: 978-3-319-12066-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)