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Data Mashups in R
Data Mashups in R
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A01=Jeremy Leipzig
A01=Xiao-Yi Li
A32=Xiao?yi Li
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Author_Jeremy Leipzig
Author_Xiao-Yi Li
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Category1=Non-Fiction
Category=UDB
Category=UGK
Category=UMX
Category=UNA
COP=United States
Delivery_Delivery within 10-20 working days
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eq_computing
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eq_nobargain
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Language_English
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Price_€10 to €20
PS=Active
r programming statistics analysis analytics research
softlaunch
USA
Product details
- ISBN 9781449303532
- Weight: 90g
- Dimensions: 180 x 178mm
- Publication Date: 19 Apr 2011
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
Data analysis is more than means and standard deviations. This ebook is a case study of how you can push R into new territory to analyze online real-world data. The authors scrape public foreclosure records for Philadelphia, geocode them, plot them by county, and analyze the results, using R facilities to interact with web servers, parse HTML and XML, and more.
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 the first faculty-review websites and wrote "Work Issues in Software Engineering", a survey-based study of "death march" projects. Xiao-Yi Li is a biostatistician with an M.Sc. from University of Michigan. In fact, her entire education experience has be revolving statistics, a percentile or otherwise. Currently, she works in the bioinformatics group at DuPont as a statistical consultant. Her work consists mostly of design of experiments and analysis for phenotypic screens, quality control in microarrays, and association mapping.
Data Mashups in R
€17.99
