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Better data visualizations : a guide for scholars, researchers, and wonks / Jonathan Schwabish.

By: Schwabish, Jonathan [autor.]Material type: TextTextOriginal language: English Publisher: Nueva York : Columbia University Press, 2021Edition: Primera ediciónDescription: xi, 449 páginas : ilustraciones, gráficas, fotografías ; 23 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9780231193115Subject(s): Visualización de información -- Guías | Metadatos -- Enseñanza | Procesamiento de datos en línea | Gráficos por computador | Tecnología de la informaciónDDC classification: 001.4226
Incomplete contents:
1. Visual processing and perceptual rankings ; 2. Five guidelines for better data visualizations ; 3. Form and function: let your audience's needs drive your data visualization choices ; 4. Comparing categories ; 5. Time ; 6. Distribution ; 7. Geospatial ; 8. Relationship ; 9. Part-to-whole ; 10. Qualitative ; 11. Tables ; 12. Developing a data visualization style guide ; 13. Redesigns
Abstract: 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.
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1. Visual processing and perceptual rankings ; 2. Five guidelines for better data visualizations ; 3. Form and function: let your audience's needs drive your data visualization choices ; 4. Comparing categories ; 5. Time ; 6. Distribution ; 7. Geospatial ; 8. Relationship ; 9. Part-to-whole ; 10. Qualitative ; 11. Tables ; 12. Developing a data visualization style guide ; 13. Redesigns

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.

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