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I have not actually encountered many (or any) box-and-whisker plots in the course of my work or in dashboards I have come across. I have not seen many histograms either.
That being said, I think it is mostly easy to understand them. Having bins seems useful to quickly and easily show data that fits into certain categories. Box-and-whisker plots I think look most useful in identifying those outliers which might otherwise skew the interpretation of a dashboard.
The best type of graph to show ranking is a bar graph because values can be ordered by size in ascending or descending order. If we rank claims from most to least frequent, Curative Care would be the service category at the top of the list (most frequent) and Inpatient would be at the bottom of the list (least frequent). This is true for both the Eastern and Northern zones.
I think that the best type of graph for showing Flores del Mundo’s membership trends over the course of the year is a line graph. This is because line graphs are generally the best to display how values (membership) have changed over time (the year). A line graph will clearly show movement throughout the year.
If graphing total membership vs employee/spouse/dependent, I would use a bar graph which is useful for focusing on individual values while also comparing the data.
For showing Eastern and Northern Membership on the same graph, I would use a bar graph similar to the right graph in Figure 1 from Few’s article since there are 2 sets of categorical data: time and region.
I agree with Chana that The WHO local maternity dashboard is not really a dashboard. According to Chapter 1, it is missing several key elements that make a dashboard a dashboard. It does not provide “at a glance” information, it is not very visual/graphical in nature, and it does not provide pre-defined conclusions. I would consider this “dashboard” as more of a report: it has data but does not sufficiently interpret the data to make an “at a glance” point.
