Parallel versus Perpendicular Plots: A Comparative Study

Yusof, Raja Jamilah Raja; Zainuddin, Roziati; Yusoff, Zulkifli Mohd

doi:10.1007/978-3-642-25483-3_36

Cited by 1 publication

(1 citation statement)

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“…Parallel coordinate charts are typically used to graph individual data elements spanning multiple dimensions; each dimension is associated with a vertical axis, and each data object is shown as a series of connected points along the dimension/axis. It has the advantage of being able to handle multidimensional data and the disadvantage of the data being dense, due to which the graph tends to become cluttered and the lines illegible [ 6 , 12 ]. In a polar coordinate system, Nightingale rose charts are often used to represent the magnitude of each value about the total, the change in the data over some time, and the cyclical time pattern.…”

Section: Introductionmentioning

confidence: 99%

A Novel Metaphor Graph Drawing Method for Multidimensional Data Visualisation and Its Case Study on COVID-19 Vaccination Analysis

Chi¹,

Hua²,

Ren³

2022

IJERPH

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Visualisation techniques have been one of the best data processing and analysis methods in recent decades, and they have assisted in data understanding efforts in various fields. Visualisation techniques for low-dimensional data are well developed and applied in multiple sectors; however, multidimensional data visualisation techniques still present some limitations, such as inaccurate data comparison and perception, exaggerated visual differences, label occlusion, and overlap. This study addresses the pros and cons and proposes a novel graphical drawing method, the multidimensional rose chart. It adopts the design idea of the Nightingale rose chart, but overcomes relevant limitations. The main challenges of this area include the incomplete presentation of multidimensional data, the neglect of the linkage of multiple attributes, the inefficient use of space, and the lack of simplicity of the interface. Contributions include enriching the representations of multidimensional data through the use of colour shades, area, and height sizes to represent values; straightforward data attribute comparisons via graph nesting; and detailed attributes showing the use of specific value labels. To verify the preliminary validity of this method, we imported COVID-19 data into experiments and further compared the final layouts with traditional methods, such as the line chart, bar chart, tree, parallel coordinate chart, and Nightingale rose chart, as well as their structures, functionalities, clear advantages, and disadvantages. The experimental results show that multidimensional rose diagrams perform effectively in presenting multidimensional data when comparing other graph drawing methods in our case, and the outcomes match existing works’ conclusions in related COVID-19 research sectors. This work has the potential to provide a suitable supplemental approach to the multidimensional data analysis.

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Section: Introductionmentioning

confidence: 99%