--- Comment #7 from Quim Gil <> ---
Let's focus first on these graphs:

(In reply to Santiago Dueñas from comment #5)
> now we show "Time opened" by median and average.

There is still something odd here. See for instance "Time opened by Priority

In August 2004, apparently one month after opening the Bugzilla instance, we
have about Low and Lowest bugs with a median of 1000 days. How can this be? I
expect a graph that says that after 30 days of Bugzilla a bug can be 30 days
old at most.

> The main problem here is with those big peaks in median charts.

Before trying to address the visualization problems of those high peaks, I
still must understand the algorithm that generates them. You say...  

(In reply to Santiago Dueñas from comment #4)
> In this case, the peak is from bug 27320.

> It was submitted on Feb 2011 (that's why it is shown at that point in the
> chart) but its first action was made two years later (April 2013). Its
> current priority is Immediate.

I think we have a problem of perspective. Your perspective seems to be
data-centric: "how old were the bugs created at this point of time when they
received their first action?" We actually care about our own perspective as
bugtriagers (yes, we are so self-centered people)  :) : "how old are today the
open bugs that haven't received any action yet"? And last month? And a year

We want to see whether we are processing those bugs faster or slower than
before, whether we succeed addressing more important bugs faster or not. In
this sense, I wouldn't expect high peaks emerging, since the highest increase
from month to month can only be 31 days (unless you reopen hundreds of very old
bugs, an unlikely scenario that would reflect a legitimate higher peak).

Let's agree on these points before tying to solve anything else, please.

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