Fundamentals of data visualization : a primer on making informative and compelling figures (Record no. 34666)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250826b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352138111
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Item number WIL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wilke, Claus O.
245 ## - TITLE STATEMENT
Title Fundamentals of data visualization : a primer on making informative and compelling figures
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc O'Reilly,
Date of publication, distribution, etc 2019
Place of publication, distribution, etc Beijing :
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 370 p. ;
Other physical details ill.,
Dimensions 23 cm.
365 ## - TRADE PRICE
Price amount 1725.00
Price type code
Unit of pricing 01
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.--Provided by publisher. Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Visual analytics
Topical term or geographic name as entry element Information visualization
Topical term or geographic name as entry element Science & Nature
Topical term or geographic name as entry element Data Visualization
Topical term or geographic name as entry element Technology
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Checked out Date last seen Date last borrowed Koha item type
          DAU DAU 2025-07-29 KB 1725.00 1 006.6 WIL 035979 2025-12-08 2025-08-26 2025-08-26 Books

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