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|a Leipzig, Jeremy.
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|a Data mashups in R /
|c Jeremy Leipzig and Xiao-Yi Li.
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|a 1st ed.
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|a Sebastopol, Calif. :
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|c ©2011.
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|a 1 online resource (vii, 28 pages) :
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|a "This book is a case study of how you can push R into new territory to analyze online real-world data."
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|a Table of Contents; Introduction; Chapter 1. Mapping Foreclosures; Messy Address Parsing; Exploring "streets"; Obtaining Latitude and Longitude Using Yahoo; Shaking the XML Tree; The Many Ways to Philly (Latitude); Using Data Structures; Using Helper Methods; Using Internal Class Methods; Exceptional Circumstances; The Unmappable Fake Street; No Connection; Taking Shape; Finding a Usable Map; PBSmapping; Developing the Plot; Preparing to Add Points to Our Map; Exploring R Data Structures: geoTable; Making Events of Our Foreclosures; Turning Up the Heat; Factors When You Need Them.
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505 |
8 |
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|a Filling with Color GradientsChapter 2. Statistics of Foreclosure; Importing Census Data; Descriptive Statistics; Descriptive Plots; Correlation; Final Thoughts; Appendix. Getting Started; Obtaining R; Quick and Dirty Essentials of R; O'Reilly Resources.
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|a Mashups (World Wide Web)
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650 |
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7 |
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650 |
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7 |
|a Web sites
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|0 (OCoLC)fst01173252
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700 |
1 |
|
|a Li, Xiao- Li.
|
776 |
0 |
8 |
|i Print version:
|a Leipzig, Jeremy.
|t Data mashups in R.
|b 1st ed.
|d Sebastopol, Calif. : O'Reilly, ©2011
|z 9781449303532
|w (OCoLC)713914120
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856 |
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|u https://learning.oreilly.com/library/view/~/9781449305574/?ar
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