Datadog has introduced a new bar graph visualization for viewing metrics as counts, which allows users to quickly see the number of relevant events that occurred over a specified time interval. This is particularly useful for visualizing data with gaps between occurrences of events. In contrast, viewing metrics as rates suggests a value that is continuously changing over time and defaults to a stacked area visualization. Datadog's query engine aggregates data on a particular resolution, which enables users to choose the right visualization for their StatsD rates and counters. The Graph Editor has been updated to allow users to create custom counts visualizations by selecting the metric type, scope, groupings, and other settings. Users can also use this feature in the query JSON editor by adding `.as_count()` or `.as_rate()` to the end of the scoped metric definition. Finally, Datadog screenboards now support visualizing counts on screens using both timeseries and query value widgets.