Murrell Introduction to Data Technologies

1. Auflage 2010
ISBN: 978-1-4200-6518-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 418 Seiten

Reihe: Chapman & Hall/CRC Computer Science & Data Analysis

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.

Zielgruppe

All science professionals and students who deal with data collection or manipulation.

Autoren/Hrsg.

Murrell, Paul

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

Introduction

Case Study: Point Nemo

Writing Computer Code

Case Study: Point Nemo (continued)

Syntax
Semantics

Writing Code

Checking Code

Running Code

The DRY Principle
HTML Reference
HTML Syntax

HTML Semantics
CSS Reference
CSS Syntax

CSS Semantics

Linking CSS to HTML

CSS Tips
Data Storage

Case Study: YBC 7289

Plain Text Formats

Binary Formats

Spreadsheets

XML

Databases
XML Reference
XML Syntax

Document Type Definitions
Data Queries

Case Study: The Data Expo (continued)

Querying Databases
Querying XML
SQL Reference

SQL Syntax
SQL Queries
Other SQL Commands
Data Processing
Case Study: The Population Clock

The R Environment
The R Language

Data Types and Data Structures

Subsetting

More on Data Structures
Data Import/Export

Data Manipulation

Text Processing

Data Display

Programming
Other Software
R Reference
R Syntax

Data Types and Data Structures

Functions
Getting Help

Packages

Searching for Functions
Regular Expressions Reference

Literals

Metacharacters
Conclusion

Attributions

Bibliography

Index
Further Reading appears at the end of each chapter.

Über Autor(innen)

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.