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Data Mashups in R by Jeremy Leipzig
Data Mashups in R by Jeremy Leipzig
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Data Mashups in R

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Description

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.

Author Biography:

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.
Release date Australia
April 19th, 2011
Contributor
  • Contributions by Xiao yi Li
Pages
38
Audience
  • Technical / Manuals
Illustrations
illustrations
Dimensions
178x233x5
ISBN-13
9781449303532
Product ID
10220600

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