LEADER 01916nam a2200337 a 4500 001 991000462449707536 008 020 $a3787316728 (v.1) 020 $a3787316736 (v.2) 035 $ab13224712-39ule_inst 040 $aDip.to di Filol. class. edi Scienze Filosofiche$bita 100 $aBertram :$cvon Ahlen$00 245 00$aTexte aus der Zeit Meister Eckharts /$cherausgegeben von Alessandra Beccarisi. 260 $aHamburg :$bMeiner,$c2004 300 $a2 v. ;$c24 cm 440 0$aCorpus philosophorum Teutonicorum medii aevi.$n7 500 $aTesto latino 505 00$g1.: $tOpera / Bertram von Ahlen ; herausgegeben von Alessandra Beccarisi mit einem vorwort von Loris Sturlese 505 0 $g2.: $tOpera / Berthold von Wimpfen ; Opera ; Quaestio utrum beatitudo consistat in intellectu agente / Anonymus ; Tractatus de natura accidentis / Anonymus ; De investigatione creatoris per creaturas / Pseudo-Bertram de Ahlen ; herausgegeben von Alessandra Beccarisi 700 1 $aBeccarisi, Alessandra$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0479811 700 1 $aSturlese, Loris 700 $aBerthold :$cvon Wimpfen 907 $a.b13224712$b19-12-11$c01-10-04 912 $a991000462449707536 945 $aLE007 240 BEC 01.01$cv. 1$g1$i2007000083789$lle007$o-$pE0.00$q-$rl$s- $t0$u2$v1$w2$x0$y.i13886526$z01-10-04 945 $aLE007 240 BEC 01.01$cv. 2$g1$i2007000083772$lle007$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i13886514$z01-10-04 945 $aLE005 189 CPTMA. 01. v. 7.1$cv. 1 $g1$i2005000162206$lle005$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i13966042$z16-12-04 945 $aLE005 189 CPTMA. 01. v. 7.2$cv. 2$g1$i2005000162213$lle005$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i13966066$z16-12-04 996 $aTexte aus der Zeit Meister Eckharts$91460481 997 $aUNISALENTO 998 $ale007$ale005$b01-10-04$cm$da $e-$flat$gde $h0$i0 LEADER 03322nam 2200481 450 001 9910554243903321 005 20230412040256.0 010 $a0-231-55015-4 024 7 $a10.7312/schw19310 035 $a(OCoLC)1164823539 035 $a(CKB)4100000011726890 035 $a(MiAaPQ)EBC6181760 035 $a(DE-B1597)566437 035 $a(DE-B1597)9780231550154 035 $a(PPN)255829523 035 $a(EXLCZ)994100000011726890 100 $a20210209d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 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