Closed PatriciaTanzer closed 6 years ago
Good catch. We should be able to do that just by looking at the first event involving each computer, i.e. that would be the time at which it was installed.
I'll look at doing that hopefully this weekend.
Thanks, Nick
On November 11, 2017 4:55:36 PM EST, Patricia Tanzer notifications@github.com wrote:
As I'm looking at our utilization data, I think some statistics might be really low because we are including all the years for which usage doesn't exist. For example, it doesn't look as if BL001 was every in use in 2010, and I think that's because we didn't even have it at the time. But entries do exists - those entries are 0.0, not NaN. (I'm talking about the pickled data from LibData.pkl).
Do we have some dates for when computers were purchased/added to libraries? I think we should add code to discard entries for those computers before said dates and see if anything changes.
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Unfortunately, I don't have a way to determine when a machine was placed in that location. I figure we can look at this one of two ways:
I cannot speak to which would be necessarily better at this point. I can say that we only have 2 weeks to have this finished (Nov. 27) and the grad students in this group still need to write a paper. Considering those elements, I would go for least effort.
I've been working in Assignment 4 with this problem and divided the usage stats by semester. (Will upload the code once I get home). If a computer's first use is during a particular semester, I think we should drop it from that semester and any preceding ones. That should be sufficient, and not too difficult to code.
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On Nov 12, 2017, at 10:19, Brown Biggers notifications@github.com<mailto:notifications@github.com> wrote:
Unfortunately, I don't have a way to determine when a machine was placed in that location. I figure we can look at this one of two ways:
I cannot speak to which would be necessarily better at this point. I can say that we only have 2 weeks to have this finished (Nov. 27) and the grad students in this group still need to write a paper. Considering those elements, I would go for least effort.
— You are receiving this because you were assigned. Reply to this email directly, view it on GitHubhttps://github.com/UNCG-CSE/Library-Computer-Usage-Analysis/issues/61#issuecomment-343744390, or mute the threadhttps://github.com/notifications/unsubscribe-auth/AdqT4jbZ2iHIJxYFr6e5VM7iunTOzs_eks5s1wxkgaJpZM4Qapqp.
Edit: the pull request I mentioned isn't working the way I thought it would. Just look for Semester_Analysis.ipynb in Develop
We seem to have taken care of this, closing it for now
As I'm looking at our utilization data, I think some statistics might be really low because we are including all the years for which usage doesn't exist. For example, it doesn't look as if BL001 was every in use in 2010, and I think that's because we didn't even have it at the time. But entries do exists - those entries are 0.0, not NaN. (I'm talking about the pickled data from LibData.pkl).
Do we have some dates for when computers were purchased/added to libraries? I think we should add code to discard entries for those computers before said dates and see if anything changes.