I have a variable that changes over time. Let's call this variable "the error". I use a histogram to graph how many of intervals of error has occurred. For example
Here you can see that a particular error of 0.1 has occurred almost 1500 times and another of [0.1,0.2] has occurred a little less (like 1400 times) etc.
I have two questions:
If I have another instance of this histogram for a different set of data, and the histogram is similar but with some slight difference in the values, how can I judge which case "is better"? (In general a case is better when the error is less)
What other plots (or means?) can I use to judge whether set A (with its errors) or set B (with its own errors) is better?