Human-Centred Scientific Data Visualisation
Making Complex Data Accessible for Everyone
Series: Undergraduate Topics in Computer Science;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 3 June 2026
- Number of Volumes 1 pieces, Book
- ISBN 9783032016058
- Binding Paperback
- No. of pages420 pages
- Size 235x155 mm
- Language English
- Illustrations IX, 420 p. 1 illus. 700
Categories
Long description:
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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.
" MoreTable of Contents:
Importance of Accessibility and Inclusivity in Visualizing Scientific Data.- Designing Marvelous Line Plots.- Designing Stunning Bar Charts.- Designing Amazing Scatterplots.- Designing Effective Histograms.- Designing Astonishing Pie Charts.- Creating Enchanting Spider Plots.- Creating Vibrant Ridgeline Plots.- Creating Breathtaking Density Plots.- Designing Other Beautiful Charts.- Advanced Visualization Techniques.
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