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Exploring and Discovering Data

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Business Analytics for Managers

Part of the book series: Use R ((USE R))

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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.

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Notes

  1. 1.

    Many homes in the United States have vinyl or other types of siding.

  2. 2.

    Neighborhoods in this data are characterized as East, North, or West.

  3. 3.

    See www.google.com/latitude.

  4. 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.

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Correspondence to Wolfgang Jank .

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© 2011 Springer Science+Business Media, LLC

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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

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