000			02732cam a2200373 i 4500
001			846
003			MYCC
005			20260826104128.0
008			200613s2021 nyuab b 001 0 eng
010			_a 2020017814
020			_a9780231193108 _qhardback
020			_a9780231193115 _qtrade paperback
020			_z9780231550154 _qebook
035			_a21594143
040			_aLBSOR/DLC _beng _erda _cDLC _dDLC _dMYCC
042			_apcc
050	0	0	_aQA76.9.I52 _bS393 2021
082	0	0	_a001.4/226 _223
100	1		_aSchwabish, Jonathan A., _eauthor.
245	1	0	_aBetter Data Visualizations : _bA Guide for Scholars, Researchers, and Wonks / _cJonathan Schwabish.
264		1	_aNew York : _bColumbia University Press, _c[2021]
264		4	_c©2021
300			_axi, 449 pages : _billustrations (chiefly color), maps (chiefly color) ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 413-429) and index.
505	0		_aIntroduction -- Visual processing and perceptual rankings -- Five guidelines for better data visualization -- Form and function -- Comparing categories -- Time -- Distribution -- Geospatial -- Relationship -- Part-to-whole -- Qualitative -- Tables -- Developing a data visualization style guide -- Redesigns.
520			_a"Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do's and don'ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart's design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message"-- _cProvided by publisher.
650		0	_aInformation visualization.
650		0	_aVisual analytics.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c846 _d846