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Data Analysis with R, Second Edition

You're reading from   Data Analysis with R, Second Edition A comprehensive guide to manipulating, analyzing, and visualizing data in R

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788393720
Length 570 pages
Edition 2nd Edition
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Author (1):
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Tony Fischetti Tony Fischetti
Author Profile Icon Tony Fischetti
Tony Fischetti
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Table of Contents (19) Chapters Close

Preface 1. RefresheR FREE CHAPTER 2. The Shape of Data 3. Describing Relationships 4. Probability 5. Using Data To Reason About The World 6. Testing Hypotheses 7. Bayesian Methods 8. The Bootstrap 9. Predicting Continuous Variables 10. Predicting Categorical Variables 11. Predicting Changes with Time 12. Sources of Data 13. Dealing with Missing Data 14. Dealing with Messy Data 15. Dealing with Large Data 16. Working with Popular R Packages 17. Reproducibility and Best Practices 18. Other Books You May Enjoy

Relational databases

Perhaps the most common external source of data is from relational databases. Since this section is probably of interest to only those who work with databases—or at least plan to—some knowledge of the basics of relational databases is assumed.

One way to connect to databases from R is to use the RODBC package. This allows one to access any database that implements the ODBC common interface (for example, PostgreSQL, Access, Oracle, SQLite, DB2, and so on). A more common method, for whatever reason, is to use the DBI package and DBI-compliant drivers.

DBI is an R package that defines a generalized interface for communication between different databases and R. As with ODBC, it allows the same compliant SQL to run on multiple databases. The DBI package alone is not sufficient for communicating with any particular database from R; in order to use...

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