000			05880cam a2200781Ii 4500
001			ocn923807870
003			OCoLC
005			20220701010927.0
006			m o d
007			cr cnu|||unuuu
008			151013s2015 njua ob 001 0 eng d
040			_aN$T _beng _erda _epn _cN$T _dN$T _dYDXCP _dDG1 _dOCLCF _dCDX _dTEFOD _dIDEBK _dEBLCP _dRECBK _dCSJ _dCOO _dUMI _dRIU _dDEBBG _dCHVBK _dOCLCO _dCCO _dMERUC
019			_a925287179 _a936446509 _a953582501 _a961643096
020			_a9781119002260 _qelectronic bk.
020			_a1119002265 _qelectronic bk.
020			_a9781119055259 _qelectronic bk.
020			_a1119055253 _qelectronic bk.
020			_a9781119002062 _qelectronic bk.
020			_a1119002060 _qelectronic bk.
020			_z9781119002253
020			_z1119002257
029	1		_aCHVBK _b354500627
029	1		_aCHBIS _b010557829
029	1		_aNLGGC _b405357540
029	1		_aAU@ _b000058376309
029	1		_aDEBBG _bBV043399142
029	1		_aCHVBK _b374529000
029	1		_aCHNEW _b000893743
029	1		_aCHVBK _b374054584
029	1		_aCHSLU _b001252831
029	1		_aDEBBG _bBV043892690
029	1		_aDEBBG _bBV043968816
035			_a(OCoLC)923807870 _z(OCoLC)925287179 _z(OCoLC)936446509 _z(OCoLC)953582501 _z(OCoLC)961643096
037			_aE2951FA4-31EB-4EFD-9BC5-5E5613B8AAF8 _bOverDrive, Inc. _nhttp://www.overdrive.com
050		4	_aQA76.9.I52
072		7	_aREF _x018000 _2bisacsh
082	0	4	_a001.4226 _223
049			_aMAIN
100	1		_aKnaflic, Cole Nussbaumer, _eauthor.
245	1	0	_aStorytelling with data : _ba data visualization guide for business professionals / _cCole Nussbaumer Knaflic.
264		1	_aHoboken, New Jersey : _bWiley, _c[2015]
300			_a1 online resource : _billustrations (some color).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
588	0		_aOnline resource; title from PDF title page (EBSCO, viewed October 14, 2015).
505	0		_aTitle page -- Copyright -- Dedication -- Foreword -- Note -- Acknowledgments -- About the Author -- Introduction -- Bad graphs are everywhere -- We aren't naturally good at storytelling with data -- Who this book is written for -- How I learned to tell stories with data -- How you'll learn to tell stories with data: 6 lessons -- Illustrative examples span many industries -- Lessons are not tool specific -- How this book is organized -- Chapter 1 the importance of context -- Exploratory vs. explanatory analysis -- Who, what, and how -- Who -- What -- How
505	8		_aWho, what, and how: illustrated by example -- Consulting for context: questions to ask -- The 3-minute story & Big Idea -- Storyboarding -- In closing -- Chapter 2 choosing an effective visual -- Simple text -- Tables -- Graphs -- Points -- Lines -- Bars -- Area -- Other types of graphs -- To be avoided -- In closing -- Chapter 3 clutter is your enemy! -- Cognitive load -- Clutter -- Gestalt principles of visual perception -- Lack of visual order -- Non-strategic use of contrast -- Decluttering: step-by-step -- In closing -- Chapter 4 focus your audience's attention -- You see with your brain
505	8		_aA brief lesson on memory -- Preattentive attributes signal where to look -- Size -- Color -- Position on page -- In closing -- Chapter 5 think like a designer -- Affordances -- Accessibility -- Aesthetics -- Acceptance -- In closing -- Chapter 6 dissecting model visuals -- Model visual #1: line graph -- Model visual #2: annotated line graph with forecast -- Model visual #3: 100% stacked bars -- Model visual #4: leveraging positive and negative stacked bars -- Model visual #5: horizontal stacked bars -- In closing -- Chapter 7 lessons in storytelling -- The magic of story -- Constructing the story
505	8		_aThe narrative structure -- The power of repetition -- Tactics to help ensure that your story is clear -- In closing -- Chapter 8 pulling it all together -- Lesson 1: understand the context -- Lesson 2: choose an appropriate display -- Lesson 3: eliminate clutter -- Lesson 4: draw attention where you want your audience to focus -- Lesson 5: think like a designer -- Lesson 6: tell a story -- In closing -- Chapter 9 case studies -- CASE STUDY 1: Color considerations with a dark background -- CASE STUDY 2: Leveraging animation in the visuals you present -- CASE STUDY 3: Logic in order
505	8		_aCASE STUDY 4: Strategies for avoiding the spaghetti graph -- CASE STUDY 5: Alternatives to pies -- In closing -- Chapter 10 final thoughts -- Where to go from here -- Building storytelling with data competency in your team or organization -- Recap: a quick look at all we've learned -- In closing -- Bibliography -- Index -- EULA
520			_aSometimes it is easy to generate charts and graphs look fine to you, but don't clearly communicate the information that they represent. Knaflic's own knack for clarity will help you sharpen your message when using data in your business presentations.
650		0	_aInformation visualization.
650		0	_aComputer graphics.
650		0	_aBusiness communication.
650		7	_aREFERENCE / Questions & Answers _2bisacsh
650		7	_aBusiness communication. _2fast _0(OCoLC)fst00842419
650		7	_aComputer graphics. _2fast _0(OCoLC)fst00872119
650		7	_aInformation visualization. _2fast _0(OCoLC)fst00973185
650		7	_aStatistik _2gnd
650		7	_aVisualisierung _2gnd
650		7	_aNeue Medien _2gnd
655		4	_aElectronic books.
776	0	8	_iPrint version: _aKnaflic, Cole Nussbaumer. _tStorytelling with data : a data visualization guide for business professionals. _dHoboken, New Jersey : Wiley, c2015 _happroximately 251 pages _z9781119002253
856	4	0	_uhttp://dx.doi.org/10.1002/9781119055259 _zWiley Online Library
994			_a92 _bDG1
999			_c20755 _d20714