With the coming of the digital era, information has never been as massive and complicated as it is nowadays. New layout strategies, visual encoding methods, and exploration mantras have been developed in the visualization area to ``squeeze a billi...
Symbols and shapes are commonly employed to represent data in visualizations such as scatterplots. Practitioners, scientists, and automated visualization tools are reliant on empirical analyses of visual encoding strategies, taking into account th...
Misinformation on social media is a phenomenon with considerable impacts on our societies. To effectively mitigate its effects, we need to employ a cross-disciplinary effort to holistically address the critical elements involved in the process, in...
High-dimensional data becomes common in application areas such as environmental studies and healthcare. The high dimensionality presents opportunities for understanding how certain outcomes happen by identifying significant variables contributing ...
In this dissertation, I present a series of visual analytics tools designed to provide insights into tennis matches for the purpose of player improvement. These include analytic tools that can be divided into two basic categories: non-spatial-base...
