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.

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 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.


Book Information
ISBN 9781449303532
Author Jeremy Leipzig
Format Paperback
Page Count 38
Imprint O'Reilly Media
Publisher O'Reilly Media