Abstract
In this chapter, we discuss different approaches for exploring data. Data exploration is probably the single most important step in any data analysis. While the availability of huge amounts of data often tempts the user to jump directly into sophisticated models and methods, one of the main messages of this book is that it is of extreme importance to first understand one’s data and to thoroughly explore it for patterns and anomalies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Many homes in the United States have vinyl or other types of siding.
- 2.
Neighborhoods in this data are characterized as East, North, or West.
- 3.
- 4.
We only show the transactions that resulted in either a print or a PDF purchase; of course, some transactions resulted in no purchase, but we do not show such data here.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Jank, W. (2011). Exploring and Discovering Data. In: Business Analytics for Managers. Use R. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0406-4_2
Download citation
DOI: https://doi.org/10.1007/978-1-4614-0406-4_2
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-0405-7
Online ISBN: 978-1-4614-0406-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)