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100   $a20210209d2021      uy             0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBetter data visualizations $ea guide for scholars, researchers, and wonks /$fJonathan Schwabish
210  1$aNew York :$cColumbia University Press,$d[2021]
215   $a1 online resource (368 pages) $cillustrations
311 08$a0-231-19310-6 
320   $aIncludes bibliographical references and index.
327   $tFrontmatter --$tCONTENTS --$tINTRODUCTION --$tPART ONE: PRINCIPLES OF DATA VISUALIZATION --$t1. VISUAL PROCESSING AND PERCEPTUAL RANKINGS --$t2. FIVE GUIDELINES FOR BETTER DATA VISUALIZATIONS --$t3. FORM AND FUNCTION: LET YOUR AUDIENCE'S NEEDS DRIVE YOUR DATA VISUALIZATION CHOICES --$tPART TWO: CHART TYPES --$t4. COMPARING CATEGORIES --$t5. TIME --$t6. DISTRIBUTION --$t7. GEOSPATIAL --$t8. RELATIONSHIP --$t9. PART-TO-HOLE --$t10. QUALITATIVE --$t11. TABLES --$tPART THREE: DESIGNING AND REDESIGNING YOUR VISUAL --$t12. DEVELOPING A DATA VISUALIZATION STYLE GUIDE --$t13. REDESIGNS --$tCONCLUSION --$tAPPENDIX 1: DATA VISUALIZATION TOOLS --$tAPPENDIX 2: FURTHER READING AND RESOURCES --$tAcknowledgments --$tReferences --$tIndex
330   $aNow 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.
606   $aInformation visualization
606   $aVisual analytics
615  0$aInformation visualization.
615  0$aVisual analytics.
676   $a001.4226
686   $aST 320$2rvk
700   $aSchwabish$b Jonathan A.$0808076
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910554243903321
996   $aBetter data visualizations$92820155
997   $aUNINA