The Data Handbook : A Guide to Understanding the Organization and Visualization of Technical Data
What our teachers don't tell us in school is that we will spend most of our scientific or engineering career in front of computers, trying to beat them into submission. My formal training in computational science is nil, which I suspect is true of 90 percent of the scientists and engineers in the world. In this book, I attempt to bring together in one place the very basic facts that every technical person should know about computers. The computers of today still require you to know quite a bit about them in order to use them effectively for technical data analysis. Scientists and engineers who are computer novices should read this book cover to cover (that is, in my modest opinion). Experienced computer users should use this book as a reference. There are nuggets of useful information in this book waiting to be discovered by even the most computer-literate of you. Changes in the Second Edition Numerous corrections and clarifications were made throughout the text. Thanks to all of you who sent in your comments on the first edition. In addition, the index and glossary have been greatly improved.
Bibliographic Information
| Format: | eBook |
|---|---|
| Author: | Fortner, Brand, 1955- |
| Subject: |
Data structures (Computer science) Information theory Dynamics Nonlinear theories Chemometrics Computational intelligence Data Structures and Information Theory Applied Dynamical Systems Mathematical Applications in Chemistry Computational Intelligence |
| Publication Year: | 1995 |
| Language: | English |
| Published: | New York, NY : Springer New York : 1995. |
| ISBN: | 9781461225386 1461225388 1-4612-2538-8 |
| Notes: | Bibliographic Level Mode of Issuance: Monograph English Includes bibliographical references at the end of each chapters and index. I introduction -- II Numbers in Computers -- 1. An Overview of Numbers in Computers -- 2. Byte Numbers -- 3. Integers and Fixed-Point Numbers -- 4. Floating-Point Numbers -- 5. ASCII Text Numbers -- III The Data Universe -- 6. A Map of the Data Universe -- 7. Column Data -- 8. 2D Matrix Data -- 9. 3D Matrix (Volumetric) Data -- 10. Polygonal Data -- 11. Conversions and Adding Dimensions -- IV Data Formats -- 12. Data Formats Overview -- 13. Popular Graphics File Formats -- 14. Popular Scientific Data Formats -- 15. Additional Formats -- V Bringing It All Together -- Bringing It All Together. Accessibility summary: This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at accessibilitysupport@springernature.com if you require assistance or an alternative format. Inaccessible, or known limited accessibility No reading system accessibility options actively disabled Publisher contact for further accessibility information: accessibilitysupport@springernature.com |
| Course: |
GED111 |