Human-centred Scientific Data Visualisation: Making Complex Data Accessible for Everyone - Couverture souple
Synopsis
This textbook is a practical guide for researchers, educators, data analysts, and user experience (UX) designers who seek to transform raw, complex datasets into clear, accessible, and engaging visual narratives. Covering a wide range of chart types―including line plots, bar charts, box plots, scatterplots, histograms, pie and donut charts, spider plots, ridgeline plots, density plots, and advanced visualizations like treemaps, network graphs, and Sankey diagrams, it blends visualization theory with hands-on implementation in Python and R.
Combining the rigor of scientific communication with the principles of UX design, it offers practical techniques, real-world examples, and hands-on coding strategies in Python and R to create data visualizations that speak to both experts and non-experts. Whether you're visualizing data for policymakers, stakeholders, or the public, this book empowers you to build informative and aesthetically compelling visualizations that make data not only visible, but truly understandable.
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Human-Centred Scientific Data Visualisation
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Human-Centred Scientific Data Visualisation (eng)
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Human-Centred Scientific Data Visualisation
Edité par
Springer Nature Switzerland AG, CH, 2026
ISBN 10 : 3032016053
ISBN 13 : 9783032016058
Neuf
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Paperback. Etat : New. This textbook is a practical guide for researchers, educators, data analysts, and user experience (UX) designers who seek to transform raw, complex datasets into clear, accessible, and engaging visual narratives. Covering a wide range of chart types-including line plots, bar charts, box plots, scatterplots, histograms, pie and donut charts, spider plots, ridgeline plots, density plots, and advanced visualizations like treemaps, network graphs, and Sankey diagrams, it blends visualization theory with hands-on implementation in Python and R. Combining the rigor of scientific communication with the principles of UX design, it offers practical techniques, real-world examples, and hands-on coding strategies in Python and R to create data visualizations that speak to both experts and non-experts. Whether you're visualizing data for policymakers, stakeholders, or the public, this book empowers you to build informative and aesthetically compelling visualizations that make data not only visible, but truly understandable. N° de réf. du vendeur LU-9783032016058
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Human-Centred Scientific Data Visualisation: Making Complex Data Accessible for Everyone (Undergraduate Topics in Computer Science)
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Human-Centred Scientific Data Visualisation: Making Complex Data Accessible for Everyone (Undergraduate Topics in Computer Science)
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Human-Centred Scientific Data Visualisation (Paperback)
Edité par
Springer Nature Switzerland AG, Cham, 2026
ISBN 10 : 3032016053
ISBN 13 : 9783032016058
Neuf
Paperback
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Paperback. Etat : new. Paperback. This textbook is a practical guide for researchers, educators, data analysts, and user experience (UX) designers who seek to transform raw, complex datasets into clear, accessible, and engaging visual narratives. Covering a wide range of chart typesincluding line plots, bar charts, box plots, scatterplots, histograms, pie and donut charts, spider plots, ridgeline plots, density plots, and advanced visualizations like treemaps, network graphs, and Sankey diagrams, it blends visualization theory with hands-on implementation in Python and R. Combining the rigor of scientific communication with the principles of UX design, it offers practical techniques, real-world examples, and hands-on coding strategies in Python and R to create data visualizations that speak to both experts and non-experts. Whether you're visualizing data for policymakers, stakeholders, or the public, this book empowers you to build informative and aesthetically compelling visualizations that make data not only visible, but truly understandable. Covering a wide range of chart typesincluding line plots, bar charts, box plots, scatterplots, histograms, pie and donut charts, spider plots, ridgeline plots, density plots, and advanced visualizations like treemaps, network graphs, and Sankey diagrams, it blends visualization theory with hands-on implementation in Python and R. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783032016058
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Human-Centred Scientific Data Visualisation
Edité par
Springer Nature Switzerland AG, CH, 2026
ISBN 10 : 3032016053
ISBN 13 : 9783032016058
Neuf
Paperback
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. This textbook is a practical guide for researchers, educators, data analysts, and user experience (UX) designers who seek to transform raw, complex datasets into clear, accessible, and engaging visual narratives. Covering a wide range of chart types-including line plots, bar charts, box plots, scatterplots, histograms, pie and donut charts, spider plots, ridgeline plots, density plots, and advanced visualizations like treemaps, network graphs, and Sankey diagrams, it blends visualization theory with hands-on implementation in Python and R. Combining the rigor of scientific communication with the principles of UX design, it offers practical techniques, real-world examples, and hands-on coding strategies in Python and R to create data visualizations that speak to both experts and non-experts. Whether you're visualizing data for policymakers, stakeholders, or the public, this book empowers you to build informative and aesthetically compelling visualizations that make data not only visible, but truly understandable. N° de réf. du vendeur LU-9783032016058
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Human-centred Scientific Data Visualisation: Making Complex Data Accessible for Everyone
Edité par
Springer-Nature New York Inc, 2025
ISBN 10 : 3032016053
ISBN 13 : 9783032016058
Neuf
Paperback
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Paperback. Etat : Brand New. 420 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __3032016053
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Human-Centred Scientific Data Visualisation
Edité par
Springer-Verlag Gmbh Jul 2026, 2026
ISBN 10 : 3032016053
ISBN 13 : 9783032016058
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbookis a practical guide for researchers, educators, data analysts, and user experience (UX) designers who seek to transform raw, complex datasets into clear, accessible, and engaging visual narratives. Covering a wide range of chart types including line plots, bar charts, box plots, scatterplots, histograms, pie and donut charts, spider plots, ridgeline plots, density plots, and advanced visualizations like treemaps, network graphs, and Sankey diagrams, it blends visualization theory with hands-on implementation in Python and R. Combining the rigor of scientific communication with the principles of UX design, it offers practical techniques, real-world examples, and hands-on coding strategies in Python and R to create data visualizations that speak to both experts and non-experts. Whether you're visualizing data for policymakers, stakeholders, or the public, this book empowers you to build informative and aesthetically compelling visualizations that make data not only visible, but truly understandable. 420 pp. Englisch. N° de réf. du vendeur 9783032016058
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Human-Centred Scientific Data Visualisation
Edité par
Springer-Verlag Gmbh Jul 2026, 2026
ISBN 10 : 3032016053
ISBN 13 : 9783032016058
Neuf
Taschenbuch
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. Neuware -This textbookis a practical guide for researchers, educators, data analysts, and user experience (UX) designers who seek to transform raw, complex datasets into clear, accessible, and engaging visual narratives. Covering a wide range of chart types including line plots, bar charts, box plots, scatterplots, histograms, pie and donut charts, spider plots, ridgeline plots, density plots, and advanced visualizations like treemaps, network graphs, and Sankey diagrams, it blends visualization theory with hands-on implementation in Python and R. Combining the rigor of scientific communication with the principles of UX design, it offers practical techniques, real-world examples, and hands-on coding strategies in Python and R to create data visualizations that speak to both experts and non-experts. Whether you're visualizing data for policymakers, stakeholders, or the public, this book empowers you to build informative and aesthetically compelling visualizations that make data not only visible, but truly understandable. 420 pp. Englisch. N° de réf. du vendeur 9783032016058
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Expédition depuis Allemagne vers Etats-Unis
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