Dashboards use a suite of visual analytics, such as various forms of graphs (e.g., line graphs, histograms, bar charts, pie charts), maps, and infographics (e.g., gauges, traffic lights, meters, arrows) to display and communicate time series and spatial data. 1 Most contemporary dashboards are dynamic (i.e., being updated as data, including real-time data, are released) and interactive (e.g., allowing selecting, filtering, and querying data; zooming in or out, panning, and overlaying; changing type of visualization).2 The power and utility of dashboards is that they act as effective cognitive tools for making sense of and tracking voluminous, varied, and quickly transitioning data, enabling users to examine emerging patterns and trends and make evidence- informed decisions and policy responses.3,4 Consequently, dashboards have become common across sectors as a means to communicate, monitor, track, analyze, and act on large volumes of dynamic data.