Human-centred Scientific Data Visualisation Making Complex Data Accessible For E - Robertas Damaeviius

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.