ISBN: 9783032016058 - human-centred scientific data visualisation: making complex data accessible for everyone (18 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Taschenbuch. Condizione: 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.…

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware -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.…

Condizione: New.

Paperback. Condizione: Brand New. 420 pages. 9.25x6.10x9.21 inches. In Stock.

Taschenbuch. Condizione: 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.…

Taschenbuch. Condizione: Neu. Neuware -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.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 420 pp. Englisch.…

Taschenbuch. Condizione: Neu. Human-Centred Scientific Data Visualisation | Making Complex Data Accessible for Everyone | Robertas Dama¿evi¿ius | Taschenbuch | Undergraduate Topics in Computer Science | ix | Englisch | 2026 | Springer | EAN 9783032016058 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condizione: new. Questo è un articolo print on demand.

Paperback. Condizione: 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.…

Paperback. Condizione: Brand New. 420 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.

Taschenbuch. Condizione: 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.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Condizione: New. PRINT ON DEMAND.

Paperback. Condizione: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…