{"product_id":"functional-aesthetics-for-data-visualization-isbn-9781119810087","title":"Functional Aesthetics for Data Visualization","description":"\u003cp\u003eWhat happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole. \u003c\/p\u003e\u003cp\u003eDrawing from their unconventional backgrounds, these two women take readers through a journey around perception, semantics, and intent as the triad that influences visualization. This visually engaging book blends ideas from theory, academia, and practice to craft beautiful, yet meaningful visualizations and dashboards. \u003c\/p\u003e\u003cp\u003eHow do you take your visualization skills to the next level? The book is perfect for analysts, research and data scientists, journalists, and business professionals. \u003ci\u003eFunctional Aesthetics for Data Visualization\u003c\/i\u003e is also an indispensable resource for just about anyone curious about seeing and understanding data. Think of it as a coffee book for the data geek in you. \u003c\/p\u003e\u003cp\u003ehttps:\/\/www.functionalaestheticsbook.com \u003c\/p\u003e\u003cp\u003eAcknowledgments ix\u003c\/p\u003e \u003cp\u003eAbout the Authors xi\u003c\/p\u003e \u003cp\u003eAbout the Technical Editor xii\u003c\/p\u003e \u003cp\u003eForeword by \u003ci\u003ePat Hanrahan\u003c\/i\u003e xiii\u003c\/p\u003e \u003cp\u003eIntroduction xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart A: Perception 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: The Science Behind Perception 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSeeing and Understanding Imagery 3\u003c\/p\u003e \u003cp\u003eColor Cognition 6\u003c\/p\u003e \u003cp\u003eSaccade and Directed Attention 10\u003c\/p\u003e \u003cp\u003eThe Notion of Space and Spatial Cognition 11\u003c\/p\u003e \u003cp\u003eDiagramming the World 13\u003c\/p\u003e \u003cp\u003eSummary 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: Perception in Charts 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eVisualization and Task 23\u003c\/p\u003e \u003cp\u003eChart as an Informational Unit 24\u003c\/p\u003e \u003cp\u003eUnboxing Functional Aesthetics in the Physical World 27\u003c\/p\u003e \u003cp\u003eRecursive Proportions 28\u003c\/p\u003e \u003cp\u003eThe Digitized Space: Creating Experiences on the Screen 31\u003c\/p\u003e \u003cp\u003eSummary 34\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Charts in Use 35\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe First Charts 36\u003c\/p\u003e \u003cp\u003eStandardizing Visualization 40\u003c\/p\u003e \u003cp\u003eThe Shifting Role of Data Visualization 43\u003c\/p\u003e \u003cp\u003eMaturity within the Profession 49\u003c\/p\u003e \u003cp\u003eSummary 56\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart B: Semantics 57\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Coming to Terms 59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStatistical Graphics Are Inherently Abstract 60\u003c\/p\u003e \u003cp\u003eFlattening the Curve 63\u003c\/p\u003e \u003cp\u003eToward Meaningful Depictions 65\u003c\/p\u003e \u003cp\u003eSituating with Semiotics 68\u003c\/p\u003e \u003cp\u003eSummary 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5: Vagueness and Ambiguity 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Tall Is Tall? 71\u003c\/p\u003e \u003cp\u003eSpicy or Hot—What’s\u003c\/p\u003e \u003cp\u003ethe Difference? 76\u003c\/p\u003e \u003cp\u003eClarification, Repair, and Refinement 78\u003c\/p\u003e \u003cp\u003eIconicity of Representation 80\u003c\/p\u003e \u003cp\u003eThe Art of Chart 82\u003c\/p\u003e \u003cp\u003eSummary 85\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: Data Literacy 87\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNavigating Data Literacy 89\u003c\/p\u003e \u003cp\u003eThe Impact of Writing 90\u003c\/p\u003e \u003cp\u003eData Orality 92\u003c\/p\u003e \u003cp\u003eChanging Exposition Styles 96\u003c\/p\u003e \u003cp\u003eData Literacy Democratization 97\u003c\/p\u003e \u003cp\u003eSummary 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Data Preparation 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHairy Dates 102\u003c\/p\u003e \u003cp\u003eCommon Transformations 103\u003c\/p\u003e \u003cp\u003eClarity in Conversation 107\u003c\/p\u003e \u003cp\u003eShaping for Intent 109\u003c\/p\u003e \u003cp\u003ePrepping for the Future 110\u003c\/p\u003e \u003cp\u003eData Enrichment 113\u003c\/p\u003e \u003cp\u003eSummary 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: Scaling It Down 117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneralization 118\u003c\/p\u003e \u003cp\u003eNatural Sizes 119\u003c\/p\u003e \u003cp\u003eFat Fingers and Small Screens 120\u003c\/p\u003e \u003cp\u003eColor as a Function of Size 123\u003c\/p\u003e \u003cp\u003eThumbnails and Visual Summaries 124\u003c\/p\u003e \u003cp\u003eSummary 128\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: Cohesive Data Messages 129\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCohesion in Designing Visualizations 131\u003c\/p\u003e \u003cp\u003eAnalytical Conversation 144\u003c\/p\u003e \u003cp\u003eSummary 152\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10: Text and Charts 153\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMedium Being the Message 154\u003c\/p\u003e \u003cp\u003eTypes of Text 155\u003c\/p\u003e \u003cp\u003eBalancing Text with Charts 161\u003c\/p\u003e \u003cp\u003eChart and Text Agreement 163\u003c\/p\u003e \u003cp\u003eText in Analytical Conversation 166\u003c\/p\u003e \u003cp\u003eMaking Data More Accessible 168\u003c\/p\u003e \u003cp\u003eText for Supporting Reading Fluency 170\u003c\/p\u003e \u003cp\u003eSummary 171\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart C: Intent 173\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11: Defining and Framing 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAnalytical Intent 176\u003c\/p\u003e \u003cp\u003eRegister 178\u003c\/p\u003e \u003cp\u003eRepair and Refinement 179\u003c\/p\u003e \u003cp\u003ePragmatics 181\u003c\/p\u003e \u003cp\u003ePracticing Intent 182\u003c\/p\u003e \u003cp\u003eSummary 185\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12: Visual Communication 187\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDo What I Mean, Not What I Say 189\u003c\/p\u003e \u003cp\u003eRegister in Charts 192\u003c\/p\u003e \u003cp\u003eRegisters in Composition 194\u003c\/p\u003e \u003cp\u003eMood and Metaphor 197\u003c\/p\u003e \u003cp\u003eBeyond Language Communication 197\u003c\/p\u003e \u003cp\u003eExpansion and Contraction 200\u003c\/p\u003e \u003cp\u003eSummary 201\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13: Scaffolds 203\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eVisualization Scaffolding 206\u003c\/p\u003e \u003cp\u003eScaffolding Data Discovery 210\u003c\/p\u003e \u003cp\u003eScaffolding Natural Language Recommendations 213\u003c\/p\u003e \u003cp\u003eAnalytical Conversation to Repair and Refine 217\u003c\/p\u003e \u003cp\u003eSummary 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14: Balancing Emphasis 223\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIndividual Choices 224\u003c\/p\u003e \u003cp\u003eCollective Choices 225\u003c\/p\u003e \u003cp\u003eCorrecting Common Problems 228\u003c\/p\u003e \u003cp\u003eView Snapping 232\u003c\/p\u003e \u003cp\u003eSummary 238\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15: Mode 239\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNavigate Like a Local 241\u003c\/p\u003e \u003cp\u003eRevisiting Analytical Chatbots 247\u003c\/p\u003e \u003cp\u003eVideo Killed the Radio Star 249\u003c\/p\u003e \u003cp\u003eBeyond the Desktop 251\u003c\/p\u003e \u003cp\u003eFuture Forward 255\u003c\/p\u003e \u003cp\u003eSummary 257\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart D: Putting It All Together 259\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16: Bringing Everything Together 261\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAddressing the Paper Towel Problem 263\u003c\/p\u003e \u003cp\u003eCrafting Recipes for Functional Aesthetics 267\u003c\/p\u003e \u003cp\u003eSummary 286\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17: Close 287\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData in Everything and Everywhere 288\u003c\/p\u003e \u003cp\u003eNew Tools and New Experiences 295\u003c\/p\u003e \u003cp\u003eSign-off 297\u003c\/p\u003e \u003cp\u003eTechnical Glossary 299\u003c\/p\u003e \u003cp\u003eIndex 305\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVIDYA SETLUR, PhD, \u003c\/b\u003eis the head of Tableau Research. She earned her doctorate in Computer Graphics in 2005 at Northwestern University. Her expertise is in natural language processing and computer graphics, and she seeks to develop new algorithms and user interfaces that enhance communication and understanding.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBRIDGET COGLEY\u003c\/b\u003e is the Chief Visualization Officer at Versalytix and is a Tableau Hall of Fame Visionary. As an American Sign Language interpreter turned analyst, her practice incorporates semantics to draw meaning in her designs. She focuses on innovative use cases in data visualization.  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThis is not another book about charts\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eWhat happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole. \u003c\/p\u003e\u003cp\u003eDrawing from their unconventional backgrounds, these two women take readers through  a journey around perception, semantics, and intent as the triad that influences visualization. This visually engaging book blends ideas from theory, academia, and practice to craft beautiful, yet meaningful visualizations and dashboards.   \u003c\/p\u003e\u003cp\u003e\"Straight away, you can tell this is a labour of love – the enthusiasm and validity with which the authors describe elements from the three elements of theory, academia and practice really shine through. With backgrounds covering all three of these areas, it makes for a complete publication, full of examples not just from practical situations as a practitioner, but from theory – focusing in particular on theory of presentation, psychology, conversation and cognition. All things which influence creation of functional and aesthetic dashboards, most of which, like me, you probably hadn't considered in requisite depth until now...\"\u003cbr\u003e\u003cb\u003e—Neil Richards, four time Tableau Visionary and Director of Editorial for Viz For Social Good\u003c\/b\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989252554981,"sku":"NP9781119810087","price":40.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119810087.jpg?v=1761783388","url":"https:\/\/k12savings.com\/es\/products\/functional-aesthetics-for-data-visualization-isbn-9781119810087","provider":"K12savings","version":"1.0","type":"link"}