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Data Mashups in R
Jeremy Leipzig
€ 17.31
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Description for Data Mashups in R
Paperback. 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. Num Pages: 38 pages, illustrations. BIC Classification: UNA. Category: (XV) Technical / Manuals. Dimension: 178 x 180 x 2. Weight in Grams: 90.
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.
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.
Product Details
Format
Paperback
Publication date
2011
Publisher
O´Reilly Media United States
Number of pages
38
Condition
New
Number of Pages
38
Place of Publication
Sebastopol, United States
ISBN
9781449303532
SKU
V9781449303532
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Jeremy Leipzig
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 ... Read more
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