The Grammar of Graphics

Wilkinson, Leland

doi:10.1007/978-1-4757-3100-2

Cited by 409 publications

(455 citation statements)

References 0 publications

Supporting

Mentioning

426

Contrasting

Unclassified

Order By: Relevance

“…Moreover, according to Theory of Measurement [15,16] the quantities i(DIM, q) are measured on a scale quite near to the ordinal one, and the frequencies mapping is not surjective since ( )…”

Section: Discussionmentioning

confidence: 99%

“…Data driven approaches (to be intended as fully data driven or hybrid ones) can provide some useful methods aimed at discovering unexpected latent knowledge and relationships inside educational data, and graphical exploratory analysis [16] is well known for the purpose. Such an approach has been experimented on ILS data, leading to the identification of representative characteristics of ILS model as well as to the detection of some unexpected relationships [8].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Felder-Silverman Index of Learning Styles by a Data-Driven Statistical Approach

Viola

Graf

Kinshuk

et al. 2006

Eighth IEEE International Symposium on Multimedia (ISM'06)

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Analysis of Felder-Silverman Index of Learning Styles by a Data-Driven Statistical Approach

Viola

Graf

Kinshuk

et al. 2006

Eighth IEEE International Symposium on Multimedia (ISM'06)

View full text Add to dashboard Cite

show abstract

“…And, the output is graphically present-ed in Fig. 2 with the help of ggplot2 [19], an implementation based on the Grammar of Graphics [20].…”

Section: Locally Weighted Regressionmentioning

confidence: 99%

Microarray gene expression: A study of between-platform association of Affymetrix and cDNA arrays

Sarmah

Samarasinghe

2011

Computers in Biology and Medicine

View full text Add to dashboard Cite

Microarrays technology has been expanding remarkably since its launch about 15 years ago. With its advancement along with the increase of popularity, the technology affords the luxury that gene expressions can be measured in any of its multiple platforms. However, the generated results from the microarray platforms remain incomparable. In this direction, we earlier developed and tested an approach to address the incomparability of the expression measures of Affymetrix ® -and cDNA-platforms. The method was an exploit involving transformation of Affymetrix data, which brought the gene expressions of both cDNA and Affymetrix platforms to a common and comparable level. The encouraging outcome of that investigation has subsequently acted as a motivator to focus attention on examining further in the direction of defining the association between the two platforms. Accordingly, this paper takes on a novel exploration towards determining a precise association using a wide range of statistical and machine learning approaches. Specifically, the various models are elaborately trailed using -regression (linear, cubic-polynomial, loess, bootstrap aggregating) and artificial neural networks (self-organizing maps and feedforward networks). After careful comparison in the end, the existing relationship between the data from the two platforms is found to be nonlinear where feedforward neural network captures the best delineation of the association.

show abstract

“…DEVise [27] extends the formal approach using relational algebra and in particular develops methods for linking multiple views. Wilkinson's Grammar of Graphics [43] presents a very thoughtful and detailed design of a system for formalism the specification of visualizations. The VizQL language [20] further extends the method for specifying visualizations by including support for data cubes and table-based visualizations.…”

Section: Related Workmentioning

confidence: 99%

Visualization of Heterogeneous Data

Cammarano

Dong

Chan

et al. 2007

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Abstract-Both the Resource Description Framework (RDF), used in the semantic web, and Maya Viz u-forms represent data as a graph of objects connected by labeled edges. Existing systems for flexible visualization of this kind of data require manual specification of the possible visualization roles for each data attribute. When the schema is large and unfamiliar, this requirement inhibits exploratory visualization by requiring a costly up-front data integration step. To eliminate this step, we propose an automatic technique for mapping data attributes to visualization attributes. We formulate this as a schema matching problem, finding appropriate paths in the data model for each required visualization attribute in a visualization template.

show abstract

The Grammar of Graphics

Cited by 409 publications

References 0 publications

Analysis of Felder-Silverman Index of Learning Styles by a Data-Driven Statistical Approach

Analysis of Felder-Silverman Index of Learning Styles by a Data-Driven Statistical Approach

Microarray gene expression: A study of between-platform association of Affymetrix and cDNA arrays

Visualization of Heterogeneous Data

Contact Info

Product

Resources

About