Data Mashups in R - Jeremy Leipzig

Data Mashups in R

(Autor)

Buch | Softcover
38 Seiten
2011
O'Reilly Media (Verlag)
978-1-4493-0353-2 (ISBN)
13,45 inkl. MwSt
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.

Erscheint lt. Verlag 26.4.2011
Co-Autor Xiao yi Li
Zusatzinfo Illustrations
Verlagsort Sebastopol
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Grafik / Design Digitale Bildverarbeitung
Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Mathematik / Informatik Informatik Web / Internet
Mathematik / Informatik Mathematik
ISBN-10 1-4493-0353-6 / 1449303536
ISBN-13 978-1-4493-0353-2 / 9781449303532
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Modelle für 3D-Druck und CNC entwerfen

von Lydia Sloan Cline

Buch | Softcover (2022)
dpunkt (Verlag)
34,90
Einstieg und Praxis

von Werner Sommer; Andreas Schlenker

Buch | Softcover (2023)
Markt + Technik (Verlag)
19,95