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Data Mashups in R: A Case Study in Real-World Data Analysis

Jeremy Leipzig, Xiao-Yi Li




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 | #2519987 in Books |  O'Reilly Media |  2011-03-24 |  2011-03-21 | Original language:English | PDF # 1 |  9.19 x.20 x7.00l,.20 | File type: PDF | 40 pages

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||6 of 6 people found the following review helpful.| Short, lightning-paced tutorial for experienced users|By John Brady|Data Mashups in RData Mashups in R describes the use of the R language to create a "spatial mashup", plotting foreclosure data on a map image after downloading and manipulating the underlying data. It presents a number of techniques that could be used in typical data analysis scenarios and examples of R packag|About the Author|
|Jeremy Leipzig is a bioinformatics software developer at DuPont Crop Genetics. He has conducted academic research in viral integration, metagenomics, schizophrenia, and alternative splicing. While a graduate student, he developed one of th

How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and analyze current home foreclosure auctions in Philadelphia.

This practical mashup exercise shows you how to access spatial data i...

You can specify the type of files you want, for your device.Data Mashups in R: A Case Study in Real-World Data Analysis   |  Jeremy Leipzig, Xiao-Yi Li. I really enjoyed this book and have already told so many people about it!

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