Introduction to Data Technologies

AvPaul Murrell

E-bok

PDF, Engelska, 2009

Del i serien Chapman & Hall/CRC Computer Science & Data Analysis

1 448 kr

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E-bok

1 448 kr

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Beskrivning

Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on computational tools, the book shows readers how to improve thei

Produktinformation

Utgivningsdatum:2009-02-23
Språk:Engelska
Filformat:PDF
Kopieringsskydd:LCP
ISBN:9781420065183
Förlag:Taylor & Francis Ltd
Serie:Chapman & Hall/CRC Computer Science & Data Analysis

Utforska kategorier

Databaser inom Data och IT
Programmeringsböcker inom Data och IT

Mer om författaren

Paul Murrell is a Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand. Author of the bestselling R Graphics (2006), he is also part of the development team for the R and Omegahat statistical computing projects. Dr. Murrell's research interests include computational and graphical statistics.

Recensioner i media

Paul Murrell, best known for his R Graphics book, has delivered a second masterpiece for people who have the difficult task to clean and prepare raw data for further use in common statistical software packages. ... provides the perfect basis for a course on data literacy ... Moreover, the book also is an excellent basis for advanced M.S. and Ph.D. students as well as practitioners in academia and industry who are confronted with the task to clean and preprocess their own or their colleagues' data. -Jurgen Symanzik, Technometrics, May 2011 Introduction to Data Technologies introduces various computer-related topics, including markup languages, statistical computing languages, coding, storage, and querying, in a systematic manner. ... the book may serve as an introduction to readers with general interest who plan to supplement their knowledge in specific computer-related topics, in addition to R programming. -Journal of the American Statistical Association, Vol. 105, No. 492, December 2010 This is a very gentle book. It enables students and statisticians, particularly those just entering the profession, to begin to familiarize themselves with important concepts and tools from the world of databases ... it is encouraging that such topics are finding their way into statistics courses at all. ... I found the style of the book very engaging ... . It has the Paul Murrell light touch, first evident to me in his eminently readable and comprehensive book on R graphics. Like that one, the present book has interesting, occasionally slightly unusual examples and an easy and elegant writing style. The book does not hesitate to offer plain, direct advice in contexts in which other authors might simply let readers exercise their personal preferences. For students, particularly, I think this is a good thing. ... -Bill Venables, CSIRO, Australian & New Zealand Journal of Statistics, 2010

Innehållsförteckning

Introduction. Writing Computer Code. HTML Reference. CSS Reference. Data Storage. XML Reference. Data Queries. SQL Reference. Data Processing. R Reference. Regular Expressions Reference. Conclusion. Attributions. Bibliography. Index.