There is growing interest in algorithms that match passengers with drivers in ride-sharing problems, and it is of interest to visualize pertinent information of the output of these algorithms in order to evaluate their performance across different metrics and tradeoffs between them. In this paper, we introduce a system, called FairVizARD, that visualizes the output of these algorithms across different geographic and temporal resolutions, allowing users to easily compare the performance and fairness of multiple ride-sharing allocation algorithms.