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Fundamentals of data visualization : a primer on making informative and compelling figures /
"Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewilderi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media, Inc.,
2019.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Introduction. Ugly, bad, and wrong figures
- Part I. From data to visualization. Visualizing data: Mapping data onto aesthetics
- Coordinate systems and axes
- Color scales
- Directory of visualizations
- Visualizing amounts
- Visualizing distributions: histograms and density plots
- Visualizing distributions: empirical cumulative distribution functions and q-q plots
- Visualizing distributions at once
- Visualizing proportions
- Visualizing nested proportions
- Visualizing associations among two or more quantitative variables
- Visualizing time series and other functions of an independent variable
- Visualizing trends
- Visualizing geospatial data
- Visualizing uncertainty
- Part II. Principles of figure design. The principle of proportional ink
- Handling overlapping points
- Common pitfalls of color use
- Redundant coding
- Multi-panel figures
- Titles, captions, and tables
- Balance the data and the context
- Use larger axis labels
- Avoid line drawings
- Don't go 3D
- Part III. Marcelino's topics. Understanding the most common used image file formats
- Choosing the right visualization software
- Telling a story and making a point.