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The cover of “Data representations, transformations, and statistics for visual reasoning” - Open Library.

"Data representations, transformations, and statistics for visual reasoning" was published by Morgan & Claypool in 2011 - San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA), it has 1 pages and the language of the book is English.


“Data representations, transformations, and statistics for visual reasoning” Metadata:

  • Title: ➤  Data representations, transformations, and statistics for visual reasoning
  • Author:
  • Language: English
  • Number of Pages: 1
  • Publisher: Morgan & Claypool
  • Publish Date:
  • Publish Location: ➤  San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)

“Data representations, transformations, and statistics for visual reasoning” Subjects and Themes:

Edition Specifications:

  • Format: [electronic resource] /

Edition Identifiers:

AI-generated Review of “Data representations, transformations, and statistics for visual reasoning”:


"Data representations, transformations, and statistics for visual reasoning" Table Of Contents:

  • 1- 1. Datatypes
  • 2- Data types
  • 3- Nominal data
  • 4- Ordinal data
  • 5- Interval data
  • 6- Ratio data
  • 7- 2. Color schemes
  • 8- Design principles for color schemes
  • 9- Univariate color schemes
  • 10- Qualitative color scales
  • 11- Sequential color scales
  • 12- Divergent color scales
  • 13- Multivariate color schemes
  • 14- Choosing a color scheme
  • 15- 3. Data preconditioning
  • 16- 4. Visual representations and analysis
  • 17- 4.1. Histograms
  • 18- Determining bin widths
  • 19- Increasing the dimensionality of a histogram
  • 20- 4.2. Kernel density estimation
  • 21- 4.3. Multivariate visualization techniques
  • 22- Scatterplots and scatterplot matrices
  • 23- Parallel coordinate plots
  • 24- Parallel sets
  • 25- Abstract multivariate visualizations
  • 26- 4.4. Multivariate analysis
  • 27- Principal component analysis
  • 28- K-means clustering
  • 29- Multi-dimensional scaling
  • 30- Self-organizing maps
  • 31- 4.5. Time series visualization
  • 32- Line graphs
  • 33- Cyclical time
  • 34- Calendar view
  • 35- Multivariate temporal exploration
  • 36- Animation
  • 37- 4.6. Temporal modeling and anomaly detection
  • 38- Control charts
  • 39- Time series modeling
  • 40- 4.7. Geographic visualization
  • 41- Choropleth maps
  • 42- Dasymetric maps
  • 43- Isopleth maps
  • 44- Class interval selection
  • 45- Interactive maps
  • 46- Animating maps
  • 47- 4.8. Spatial anomaly detection
  • 48- Spatial autocorrelation
  • 49- Local indicators of spatial association
  • 50- AMOEBA clustering
  • 51- Spatial scan statistics
  • 52- 5. Summary
  • 53- Bibliography
  • 54- Author's biography.

"Data representations, transformations, and statistics for visual reasoning" Description:

The Open Library:

Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive, design and perceptual principles. These tools are commonly referred to as visual analytics tools, and the underlying methods and principles have roots in a variety of disciplines. This chapter provides an introduction to young researchers as an overview of common visual representations and statistical analysis methods utilized in a variety of visual analytics systems. The application and design of visualization and analytical algorithms are subject to design decisions, parameter choices, and many conflicting requirements. As such, this chapter attempts to provide an initial set of guidelines for the creation of the visual representation, including pitfalls and areas where the graphics can be enhanced through interactive exploration. Basic analytical methods are explored as a means of enhancing the visual analysis process, moving from visual analysis to visual analytics.

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