LEADER 02503oam 2200457z- 450 001 9910634092703321 005 20221215 010 $a2-86906-818-2 024 7 $a10.4000/books.pufr.22282 035 $a(CKB)5680000000292604 035 $a(FrMaCLE)OB-pufr-22282 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/95142 035 $a(PPN)267246021 035 $a(oapen)doab95142 035 $a(EXLCZ)995680000000292604 100 $a20221206d2022 ||| 0 101 0 $afre 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aParler vin$eEntre normes et appropriations 210 $aTours$cPresses universitaires François-Rabelais$d2012 215 $a1 online resource (385 p.) 225 1 $aTables des hommes 311 08$a2-7535-2028-3 330 $aS'y connaître en vins est chic - mais pas si facile. Dans un contexte actuel général d'esthétisation des expériences personnelles, de plus en plus d'amateurs se tournent vers les médiateurs de ce savoir, ou savoir-faire, qui s'est progressivement professionnalisé et canonisé ; désormais, nombreux sont ceux qui acquièrent les rudiments de l'?nophilie. Les cours d'?nologie que ces personnes suivent véhiculent une normativité implicite spécifique, vécue de façon inégalement aisée, en fonction de leurs motivations à la formation, mais aussi des dispositions et des tactiques qu'elles arrivent à activer à son encontre. Ce rapport ambivalent et pluriel aux normes ?nophiles se creuse dans leur appropriation domestique, déployant des stratégies bien davantage centrées sur le soi et sur les autres que sur le vin en lui-même. En analysant la rencontre entre des experts de vin et des novices intéressés à devenir des connaisseurs, ce livre fournit des clés de compréhension des raisons et des façons d'un processus d'expertisation, entre recommandations et valeurs. Il s'adresse à qui désire avoir une vision approfondie des ressorts identitaires de la consommation de vins. 606 $aGeneral studies$2bicssc 610 $aalimentation 610 $aculture 610 $asciences sociales 610 $asensorialité 610 $avin 615 7$aGeneral studies 700 $aReckinger$b Rachel$01283353 701 $aCorbeau$b Jean-Pierre$0560145 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910634092703321 996 $aParler vin$93086233 997 $aUNINA LEADER 05822nam 2200529z 450 001 9910810578903321 005 20251104135123.0 010 $a9781119055259 (e-book) 010 $a9781119002253 (pbk.) 010 $a1-119-00206-0 010 $a1-119-05525-3 010 $a1-119-00226-5 035 $a(CKB)3710000000486405 035 $a(EXLCZ)993710000000486405 100 $a20160104d2015 uy 0 101 0 $aeng 135 $aurcn|nnn||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aStorytelling with data $ea data visualization guide for business professionals /$fCole Nussbaumer Knaflic 205 $a1st ed. 210 1$aHoboken, New Jersey :$cWiley,$d2015. 210 4$d2015 215 $a1 online resource (251 pages) $cillustrations (some color), charts, graphs 300 $aIncludes bibliographical references (p. 257-259) and index 311 08$a1-394-38809-8 311 08$a1-119-00225-7 320 $aIncludes bibliographical references and index. 327 $aIntro -- Title 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 -- Who, 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 -- A 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 -- The narrative structure -- The power of repetition. 327 $aTactics 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 -- CASE 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. 330 $aDon't simply show your data - tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience; Determine the appropriate type of graph for your situation; Recognize and eliminate the clutter clouding your information; Direct your audience's attention to the most important parts of your data; Think like a designer and utilize concepts of design in data visualization; Leverage the power of storytelling to help your message resonate with your audience. Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data - Storytelling with Data will give you the skills and power to tell it! 606 $aInformation visualization 606 $aBusiness communication 606 $aComputer graphics 615 0$aInformation visualization. 615 0$aBusiness communication. 615 0$aComputer graphics. 676 $a001.4226 686 $a007.6$2njb/09 686 $a336.49$2njb/09 686 $a001.4226$2njb/09 700 $aKnaflic$b Cole Nussbaumer$0786614 906 $aBOOK 912 $a9910810578903321 996 $aStorytelling with data$91751937 997 $aUNINA