000			04085cam a2200445 i 4500
001			022738772
003			UkOxU
005			20230406020014.0
008			200613s2021 nyuab b 001 0 eng
010			_a2020017814
020			_a9780231193108 _qhardcover
020			_a0231193106 _qhardcover
020			_a9780231193115 _qpaperback
020			_a0231193114 _qpaperback
020			_z9780231550154 _qelectronic book
035			_a(OCoLC)1153011198 _z(OCoLC)1153044882
040			_aLBSOR/DLC _beng _erda _cDLC _dOCLCO _dYDX _dOCLCF _dERASA _dYDX _dVFL _dUkOxU
042			_apcc
050	0	0	_aQA76.9.I52
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
336			_astill image _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages [413]-429) and index.
505	0		_aIntroduction -- Part one: Principles of data visualization -- 1. Visual processing and perceptual rankings -- 2. Five guidelines for better data visualizations -- 3. Form and function : let your audience's needs drive your data visualization choices -- Part two: Chart types -- 4. Comparing categories -- 5. Time -- 6. Distribution -- 7. Geospatial -- 8. Relationship -- 9. Part-to-whole -- 10. Qualitative -- 11. Tables -- Part three: Designing and redesigning your visual -- 12. Developing a data visualization style guide -- 13. Redesigns -- Conclusion -- Appendix 1: Data visualization tools -- Appendix 2: Further reading and resources.
505	0		_aIntroduction: How I learned to visualize my data -- 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			_aThis book details essential strategies to create more effective data visualizations. The author 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, the author 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.
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
942			_2NLM _01
999			_c94525 _d94525