An interactive web application was developed to visualize and analyze 20 years of school-based physical fitness testing data in California, enabling stakeholders to gain insights into children's physical fitness levels and identify disparities across schools and districts.
The poem explores the speaker's invitation to the viewer to enter their surrealist apartment, which is inspired by the face of Mae West, as depicted in Salvador Dali's painting.
Aspect ratio of parallel coordinates plots significantly impacts the accuracy of correlation estimation and value tracing tasks, with higher aspect ratios (>1) performing better for positive correlation estimation and moderate aspect ratios (0.5-1) performing best for value tracing.
UADAPyは、不確実性を考慮したデータ変換手法と可視化手法を提供するツールキットである。
UADAPy is a software package that provides methods for analyzing and visualizing multivariate uncertain data, where uncertainties are expressed as probability distributions, along the visualization pipeline.
Efficient representation of uncertainty is critical for large-scale data visualization, and the choice of uncertainty model directly impacts memory usage, runtime, and accuracy. This study presents an entropy-based framework for evaluating and comparing different uncertainty models, including uniform, Gaussian, histogram, and quantile distributions, to identify the most effective approach.
Complexity should be viewed as a strategic design material in data visualization, rather than an inherent negative that must be minimized. Complexity can be employed across various stages of the visualization design process to achieve desired effects.
A visual analytics system that leverages computational methods to analyze and visualize cell type proportions in spatial transcriptomics data, enabling exploration of patterns and relationships between cell type mixtures and their spatial locations.
The author's journey of walking the coastline of Great Britain and drawing the landscape as a means of self-expression and connecting with the land.
Photographers often struggle to objectively critique and discuss photographs. This article proposes a structured framework for analyzing photographic aesthetics beyond subjective preferences.