I have two timeseries distributions: you can basically consider them as
new tasks and
completed tasks. In the standard case, you would try to complete the tasks as and when they come, meaning that the two distributions are near-identical.
I want something that can work well in both these situations. If you graph these as lineplots, you'll basically see just one line in the ideal scenario, which can be confusing - at a glance, you might think that you're only receiving
new tasks right now without processing any, or that you're only processing tasks but not receiving any new ones. On the flip side, if the two lines don't line up perfectly, that indicates a problem - and is very easy to spot.
The best idea I have is to make
new tasks an area graph, and
completed tasks a line graph. However, I feel like spotting the "problematic" parts of the graph is much harder than in the two-line-graphs case, because you'll have to look for a gap between the area and the line. Also, I feel the area graph might just not be too intuitive. Making one a bar graph makes it even harder to spot the issues, stacking the graphs in anyway makes it hard to understand. Graphing only the difference takes away important data, and I'd prefer having fewer graphs.
Does anyone have other suggestions? (Limitations of the graphing software are not a concern, except it has to be a time vs value graph)