Radar plots: a useful way for presenting multivariate health care data

Saary, M. Joan

doi:10.1016/j.jclinepi.2007.04.021

Cited by 148 publications

(101 citation statements)

References 15 publications

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“…16 These data visualization methods have been used in many other fields including information visualization, 16,17 computer science, 18,19 biology, 20 education, 21 and health care. 22,23 In this work,…”

Section: -10mentioning

confidence: 99%

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Improved data visualization techniques for analyzing macromolecule structural changes

et al. 2012

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The empirical phase diagram (EPD) is a colored representation of overall structural integrity and conformational stability of macromolecules in response to various environmental perturbations. Numerous proteins and macromolecular complexes have been analyzed by EPDs to summarize results from large data sets from multiple biophysical techniques. The current EPD method suffers from a number of deficiencies including lack of a meaningful relationship between color and actual molecular features, difficulties in identifying contributions from individual techniques, and a limited ability to be interpreted by color-blind individuals. In this work, three improved data visualization approaches are proposed as techniques complementary to the EPD. The secondary, tertiary, and quaternary structural changes of multiple proteins as a function of environmental stress were first measured using circular dichroism, intrinsic fluorescence spectroscopy, and static light scattering, respectively. Data sets were then visualized as (1) RGB colors using three-index EPDs, (2) equiangular polygons using radar charts, and (3) human facial features using Chernoff face diagrams. Data as a function of temperature and pH for bovine serum albumin, aldolase, and chymotrypsin as well as candidate protein vaccine antigens including a serine threonine kinase protein (SP1732) and surface antigen A (SP1650) from S. pneumoniae and hemagglutinin from an H1N1 influenza virus are used to illustrate the advantages and disadvantages of each type of data visualization technique.

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Section: -10mentioning

confidence: 99%

“…12,[17][18][19][20][21][22][23] It has many similar forms and names such as star glyph, star chart, and spider chart. The major idea for this data visualization approach is to arrange multiple axes in evenly spaced angles from the same starting point to form a polar coordinate system.…”

Section: Construction Of Radar (Star) Diagramsmentioning

confidence: 99%

Improved data visualization techniques for analyzing macromolecule structural changes

et al. 2012

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“…We chose to use a form so as to not overload the graph. In the field of health care (Saary, 2008), radar charts are seen as a form of powerful graph to effectively convey meaning of multivariate data.…”

Section: Radar Chart (Rc)mentioning

confidence: 99%

Information visualization for selection in Design by Shopping

2016

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Abstract. In Design by Shopping, designers explore the design space to gain an insight into trades and feasible and impractical solutions, as well as to learn about alternatives before optimization and selection. The design space consists of multidimensional sets of data and, in order to select the best design from amongst numerous alternatives, designers may use several different graphs. In this study, we test to find the most appropriate graph to indicate the best solution corresponding to a set of objectives represented by a design scenario (1). A further constraint is that this must be done in the shortest possible time (2). Three graph types are tested in three different design scenarios where one car has to be chosen from a total of 40. A response quality index is proposed which computes the quality of a designer's choice for any given scenario. In total, 90 tests with 30 participants were performed. The Parallel Coordinates Plot proved to be the best graph for selection in Design by Shopping.

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“…While not appropriate for displaying all types of quantitative data, radar plots are well-suited for efficiently displaying a wide variety of data (and patterns within the data) in a single image. 9 With regard to curricular mapping, radar plots provide a convenient way to visualize how individual courses contribute to the programmatic "big picture." For example, consider the radar plots shown in Figure 2 that map 3 hypothetical courses (A, B, and C) to 10 core competencies (I-X).…”

Section: Designmentioning

confidence: 99%

Using Radar Plots for Curricular Mapping to Visualize Assessment in a New Doctor of Pharmacy Program

Dintzner

Nemec

Tanzer

et al. 2015

American Journal of Pharmaceutical Education

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Objective. To initiate mapping of the curriculum to the core competencies of our program and to develop a novel and visually accessible method for communicating data to all stakeholders.Design. An online survey was developed to gauge the extent to which instructors and students perceive that courses within the curriculum and assess students' ability to achieve each of the 10 core competencies. Response data were collected and processed as radar plots in Microsoft Excel. Assessment. Response rate for faculty members was 100% and 86%for students. Radar plots provided images of the relative extent to which each course surveyed was perceived to contribute to core competencies. Conclusion. Using radar plots to present perception data is visually descriptive, makes patterns/trends readily apparent, and facilitates the development of an ongoing culture of assessment.

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Radar plots: a useful way for presenting multivariate health care data

Cited by 148 publications

References 15 publications

Improved data visualization techniques for analyzing macromolecule structural changes

Improved data visualization techniques for analyzing macromolecule structural changes

Information visualization for selection in Design by Shopping

Using Radar Plots for Curricular Mapping to Visualize Assessment in a New Doctor of Pharmacy Program

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