Table 1.
Data organized in tabular format.
Fig 1.
A radar chart is a useful diagram for comparing the characteristics of objects, individuals, or groups based on various evaluation factors or criteria.
Fig 2.
Sparkline chart illustrating annual trends in radiation exposure doses over time.
This compact visualization highlights overall trends without detailed axis labels.
Table 2.
Hierarchical structure in tabular format.
Fig 3.
A sunburst chart is a useful visualization tool for healthcare data with a regional hierarchical structure.
By using different colors to represent multiple hierarchical levels, it effectively allows for comparisons of the characteristics of each level.
Fig 4.
U.S. state heat map illustrating murder and non-negligent manslaughter crime rates in 2012.
Reder regions indicate higher crime rates. Data source: Thoplan (2014).
Fig 5.
Chernoff faces visualization of 17 metropolitan local governments in Korea.
Each facial feature is generated based on multivariate variables.
Fig 6.
Comparative box plots and violin plots of radiation dose distribution by occupation.
Significance testing of the mean can also be conducted using analysis of variance (ANOVA).
Fig 7.
Radar chart comparing radiation exposure doses by sex and age group.
The figure highlights differences in exposure levels across demographic categories.
Fig 8.
Sparkline charts visualizing annual trends in the number of radiological workers by professional category. The trend lines indicate variations in workforce distribution over time.
Fig 9.
Treemap chart illustrating radiation exposure doses across three professional categories in different regions.
The size of each section is proportional to the total dose received.
Fig 10.
Chernoff faces visualization for six regions in Korea, depicting variations in radiation exposure using multivariate facial representations.
The red-colored faces indicate regions with higher average doses.
Fig 11.
Regression trend line illustrating the long-term trend in radiation exposure doses.
The figure demonstrates the effectiveness of safety management efforts over time.