000			02881cam a2200373 i 4500
001			on1164823539
003			OCoLC
005			20240726105143.0
008			200613s2021 nyu ob 001 0 eng
010			_a2020017815
040			_aDLC _beng _erda _epn _cDLC _dOCLCO _dCUV _dOCLCF _dEBLCP _dNT _dYDX _dJSTOR
020			_a9780231550154 _q((electronic)l(electronic)ctronic)
042			_apcc
050	0	0	_aQA76 _b.B488 2021
049			_aMAIN
100	1		_aSchwabish, Jonathan A., _e1
245	1	0	_aBetter data visualizations : _ba guide for scholars, researchers, and wonks / _cJonathan Schwabish.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
504			_a2
505	0	0	_aIntroduction: How I learned to visualize my data -- _tVisual processing and perceptual rankings -- _tFive guidelines for better data visualization -- _tForm and function -- _tComparing categories -- _tTime -- _tDistribution -- _tGeospatial -- _tRelationship -- _tPart-to-whole -- _tQualitative -- _tTables -- _tDeveloping a data visualization style guide -- _tRedesigns.
520	0		_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.
530			_a2 _ub
650		0	_aInformation visualization.
650		0	_aVisual analytics.
655		1	_aElectronic Books.
856	4	0	_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2453484&site=eds-live&custid=s3260518 _zClick to access digital title | log in using your CIU ID number and my.ciu.edu password
942			_cOB _D _eEB _hQA.. _m2021 _QOL _R _x _8NFIC _2LOC
994			_a92 _bNT
999			_c90814 _d90814
902			_a1 _bCynthia Snell _c1 _dCynthia Snell