Data Mashups in R

Häftad, Engelska, 2011

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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.

Produktinformation

Utgivningsdatum2011-04-19
Mått180 x 178 x 2 mm
Vikt92 g
FormatHäftad
SpråkEngelska
SerieREAL TIME BOOKS
Antal sidor38
FörlagO'Reilly Media
ISBN9781449303532

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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.