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Fundamentals of data visualization :...

Wilke, C.

Fundamentals of data visualization : = a primer on making informative and compelling figures /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fundamentals of data visualization :/ Claus O. Wilke.
Reminder of title:	a primer on making informative and compelling figures /
Author:	Wilke, C.
Published:	Sebastopol, CA :O'Reilly Media, : 2019.,
Description:	xvi, 370p. :col. ill., col. maps ; : 24cm.;
Subject:	Information visualization. -
ISBN:	9781492031086 (pbk.) :

Fundamentals of data visualization : = a primer on making informative and compelling figures /
Wilke, C.

Fundamentals of data visualization :a primer on making informative and compelling figures /Claus O. Wilke. - 1st ed. - Sebastopol, CA :O'Reilly Media,2019. - xvi, 370p. :col. ill., col. maps ;24cm.

Includes bibliographical references (p. 357-359) and index.

Introduction : ugly, bad, and wrong figures -- Part 1. From data to visualization. Visualizing data : mapping data onto aesthetics -- Coordinate systems and axes -- Color scales -- Directory of visualizations -- Visualizing amounts -- Visualizing distributions : histograms and density plots -- Visualizing distributions : empirical cumulative distribution functions and Q-Q plots -- Visualizing many distributions at once -- Visualizing proportions -- Visualizing nested proportions -- Visualizing associations among two or more quantitative variables -- Visualizing time series and other functions of an independent variable -- Visualizing trends -- Visualizing geospatial data -- Visualizing uncertainty -- Part 2. Principles of figure design. The principle of proportional ink -- Handling overlapping points -- Common pitfalls of color use -- Redundant coding -- Multipanel figures -- Titles, captions, and tables -- Balance the data and the context -- Use larger axis labels -- Avoid line drawings -- Don't go 3D -- Part 3. Miscellaneous topics. Understanding the most commonly used image file formats -- Choosing the right visualization software -- Telling a story and making a point.

"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

ISBN: 9781492031086 (pbk.) :NT2139

LCCN: 2018277335

Nat. Bib. No.: GBB976607bnb

Nat. Bib. Agency Control No.: 019381965UkSubjects--Topical Terms:

579898
Information visualization.

LC Class. No.: QA76.9.I52 / W55 2019

Dewey Class. No.: 001.4226

Fundamentals of data visualization : = a primer on making informative and compelling figures /
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245 1 0 $a Fundamentals of data visualization : $b a primer on making informative and compelling figures / $c Claus O. Wilke.
250 $a 1st ed.
260 # $a Sebastopol, CA : $b O'Reilly Media, $c 2019.
300 $a xvi, 370p. : $b col. ill., col. maps ; $c 24cm.
504 $a Includes bibliographical references (p. 357-359) and index.
505 0 # $a Introduction : ugly, bad, and wrong figures -- Part 1. From data to visualization. Visualizing data : mapping data onto aesthetics -- Coordinate systems and axes -- Color scales -- Directory of visualizations -- Visualizing amounts -- Visualizing distributions : histograms and density plots -- Visualizing distributions : empirical cumulative distribution functions and Q-Q plots -- Visualizing many distributions at once -- Visualizing proportions -- Visualizing nested proportions -- Visualizing associations among two or more quantitative variables -- Visualizing time series and other functions of an independent variable -- Visualizing trends -- Visualizing geospatial data -- Visualizing uncertainty -- Part 2. Principles of figure design. The principle of proportional ink -- Handling overlapping points -- Common pitfalls of color use -- Redundant coding -- Multipanel figures -- Titles, captions, and tables -- Balance the data and the context -- Use larger axis labels -- Avoid line drawings -- Don't go 3D -- Part 3. Miscellaneous topics. Understanding the most commonly used image file formats -- Choosing the right visualization software -- Telling a story and making a point.
520 # $a "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
650 # 0 $a Information visualization. $3 579898
650 # 0 $a Visual analytics. $3 681559
650 # 0 $a Visualization $x Data processing. $3 812500
650 # 2 $a Data Visualization. $3 1083934