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  • Introduction to Data Technologies (Chapman & Hall/CRC Computer Science & Data Analysis)

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Introduction to Data Technologies (Chapman & Hall/CRC Computer Science & Data Analysis)

by Paul Murrell (Author) Format: Hardcover
5.0 out of 5 stars (2)
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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 their awareness of what tasks can be achieved and describes the correct approach to perform these tasks.

Practical examples demonstrate the most important pointsThe author first discusses how to write computer code using HTML as a concrete example. He then covers a variety of data storage topics, including different file formats, XML, and the structure and design issues of relational databases. After illustrating how to extract data from a relational database using SQL, the book presents tools and techniques for searching, sorting, tabulating, and manipulating data. It also introduces some very basic programming concepts as well as the R language for statistical computing. Each of these topics has supporting chapters that offer reference material on HTML, CSS, XML, DTD, SQL, R, and regular expressions.

One-stop shop of introductory computing information
Written by a member of the R Development Core Team, this resource shows readers how to apply data technologies to tasks within a research setting. Collecting material otherwise scattered across many books and the web, it explores how to publish information via the web, how to access information stored in different formats, and how to write small programs to automate simple, repetitive tasks.

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  1. ISBN-10
    1420065173
  2. ISBN-13
    978-1420065176
  3. Edition
    1st
  4. Publisher
    Chapman and Hall/CRC
  5. Publication date
    February 23, 2009
  6. Part of series
    Chapman & Hall/CRC Computer Science & Data Analysis
  7. Language
    English
  8. Dimensions
    6.75 x 1 x 9.75 inches
  9. Print length
    444 pages
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Editorial Reviews

Review

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.
―Jürgen 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

About the Author

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.

Product details

  • Publisher ‏ : ‎ Chapman and Hall/CRC
  • Publication date ‏ : ‎ February 23, 2009
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 444 pages
  • ISBN-10 ‏ : ‎ 1420065173
  • ISBN-13 ‏ : ‎ 978-1420065176
  • Item Weight ‏ : ‎ 1.7 pounds
  • Dimensions ‏ : ‎ 6.75 x 1 x 9.75 inches
  • Part of series ‏ : ‎ Chapman & Hall/CRC Computer Science & Data Analysis
  • Best Sellers Rank: #11,147,504 in Books (See Top 100 in Books)
  • Customer Reviews:
    5.0 out of 5 stars (2)

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5 out of 5 stars
2 global ratings

Top reviews from the United States

  • William Venables
    5 out of 5 stars
    Data Technologies by Paul Murrell
    Reviewed in the United States on March 4, 2010
    Format: Hardcover
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    This is a very gentle book. It provides a first look at things like HTML, XML, SQL and other supposedly arcane technologies used in data storage, retrieval and manipulation. Coming from Paul Murrell, it has a delicately humorous, slightly quirky slant in some of the examples he chooses, but maintaining full relevance. There is a little bit on R included, but almost as an afterthought. It is not a book abour R. The book is clearly intended to be a teaching resource for a component of a modern statistics subject, probably at second or (honours) first year. I found the pace a little slow, but then, I'm no longer a student!

    The entire text of the book has been released electronically and, in the spirit of R itself, is free. You just can't sell it. So classes using the text could be expected to have their own electronic materials. A search on something like "Paul Murrell Data Technonogies" should locate it quickly enough.

    8 people found this helpful
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