Data Mashups in R

Data Mashups in R

Leipzig, Jeremy
Li, Xiao-Yi

30,02 €(IVA inc.)

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 alternativesplicing. 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.

  • ISBN: 978-1-4493-0353-2
  • Editorial: O'Reilly
  • Encuadernacion: Rústica
  • Páginas: 38
  • Fecha Publicación: 30/04/2011
  • Nº Volúmenes: 1
  • Idioma: Inglés