Introduction to data technologies

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Title:

Introduction to data technologies

Author:

Murrell, Paul.

ISBN:

9781420065176

Personal Author:

Murrell, Paul.

Publication Information:

Boca Raton ; London : Chapman & Hall/CRC,, c2009.

Physical Description:

xxvi, 418 p. : ill. ; 25 cm.

Series:

Computer science and data analysis series

Series in computer science and data analysis.

General Note:

Formerly CIP.

Contents:

1. Introduction -- 1.1. Case study: Point Nemo -- 2. Writing Computer Code -- 2.1. Case study: Point Nemo -- 2.2. Syntax -- 2.3. Semantics -- 2.4. Writing code -- 2.5. Checking code -- 2.6. Running code -- 2.7. The DRY principle -- 3. HTML Reference -- 3.1. HTML syntax -- 3.2. HTML semantics -- 4. CSS Reference -- 4.1. CSS syntax -- 4.2. CSS semantics -- 4.3. Linking CSS to HTML -- 4.4. CSS tips -- 5. Data Storage -- 5.1. Case study: YBC 7289 -- 5.2. Plain text formats -- 5.3. Binary formats -- 5.4. Spreadsheets -- 5.5. Xml -- 5.6. Databases -- 6. XML Reference -- 6.1. XML syntax -- 6.2. Document Type Definitions -- 7. Data Queries -- 7.1. Case study: The Data Expo -- 7.2. Querying databases -- 7.3. Querying XML -- 8. SQL Reference -- 8.1. SQL syntax -- 8.2. SQL queries -- 8.3. Other SQL commands -- 9. Data Processing -- 9.1. Case study: The Population Clock -- 9.2. The R environment -- 9.3. The R language -- 9.4. Data types and data structures -- 9.5. Subsetting.

9.6. More on data structures -- 9.7. Data import/export -- 9.8. Data manipulation -- 9.9. Text processing -- 9.10. Data display -- 9.11. Programming -- 9.12. Other software -- 10. R Reference -- 10.1. R syntax -- 10.2. Data types and data structures -- 10.3. Functions -- 10.4. Getting help -- 10.5. Packages -- 10.6. Searching for functions -- 11. Regular Expressions Reference -- 11.1. Literals -- 11.2. Metacharacters.

Subject Term:

Computer science.

Electronic data processing.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025536323	004 M894.I 2009	1	Searching... Unknown

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Summary

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 points
The 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.