uncg-cse / library-computer-usage-analysis Goto Github PK

A function?

Find which computers are used most often for any given hourly period:
Find what total percentage of computers are in use for any given hourly period

THIS IS MAJOR. Most of our weather data is in hourly format, so this is our main comparion

As we're being graded again in two days, we probably should update master at least by the morning of the 20th, if not the night before.

Let's commit whatever we want in master to develop by that point.

Believe it to be a character I forgot to copy, should have it fixed in a few minutes

Per https://uncg.instructure.com/courses/40864/assignments/syllabus we need to have completed the following (emphasis mine):

Final Project: The final project will be a team based data-science project utilizing available public data sets. In the first week of the course, the students split into teams and will be presented with a set of tentative project ideas to choose from. Novel ideas for projects will be awarded with a 5% bonus grading. After completing each course topic, the teams will have to give a short presentation (3-5 mins) and a report (1 page) of their progress with the project. The projects will be open-source and the teams will have to use GitHub as their code repository. Upon completion of the project the teams will present their software along with the results in form of a presentation (20 minutes) in the class. The teams will also prepare a poster of their project outlining the methodologies, visualizations, and results of their project. The teams will present their posters in a seminar accessible to other students and faculty at the Computer Science and Engineering Department. In addition to the poster presentation, graduate students will have to write a technical paper (minimum 5 pages, template at http://www.ieee.org/documents/trans_jour.docx (Links to an external site.)Links to an external site.) on their assigned project.

Elements highlighted:

• Short presentation (3-5 mins) (I believe we've done these)
• Report (1 page) (were we supposed to have done these?)
• Presentation (20 minutes)
• Poster
• Technical Paper (5 pages, CSC693 only)

Timestamps are datetime with ms precision, this needs to be expanded to minutes to be able to do summation stats.

I think that we had some marginal consensus that creating import libs is fine, under certain circumstances and with some conditions? Please correct me if I'm mistaken.

I'd suggest the import routines be broken out so that they can be used by multiple notebooks, as we all seem to be working mostly in separate notebooks at this point. Other than that there doesn't seem to be a whole lot of code that would benefit from this kind of modularization.

In interest of making reading easier, I have a suggestion.

I've altered the first part of the GSOWeather.ipynb notebook in the manner I'm suggesting so you can see. In this case I've made a display method which takes an array as an argument, which can be fetched by either of our getWeather methods (one says All, and another says Hourly). The rest of the notebook can be easily altered in a similar manner. This is just to make it easier to maintain in the future. Thoughts?

Create table of characteristics for computers.

As mentioned in issue #21, some of the NOAA data is marked as suspect. How do we want to handle this?

This will require converting strings under the Hourly Sky Conditions that look like this:
SCT:04 14 OVC:08 38,2.50,-RA:02 BR:1

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.

As mentioned in our meeting today, we can communicate a number of different ways. I'm comfortable with the following, but this is by-no-means an exhaustive, or even ordered, list of what I'm willing to use. Please mention in the comments if there is something missing, or if you have preferences towards a particular (mentioned or unmentioned) tool.

• GitHub Issues (like this)
• Gmail/Google Talk/Google Hangouts
• Slack
• Trello (I pay for the gold version)
• In class

Any thoughts?

I'm going to start work on the .pwp document we already have this evening, ideas one what we should include?

This is beginning a discussion on what is needed for the visualization within this project.

Prof. Mohanty suggested in class yesterday (Nov. 6) that we could present our project to a group of professionals on Nov. 27. It's the same day as the senior project presentations and some of those people will be looking at both sets of projects, and would be around 11am. If we participate, two of us would give about a 20 minute presentation. It's good exposure, and Prof. Mohanty said he could also make sure that (for example) the dean of libraries Dr. Martin Halbert was there, which would be good since our project particularly pertains to that and would ensure that it is seen.

It's right before exams, so we should have the project 90% completed by then. I'm down for it, what do you guys think? If we're going forward with it I'll need to email him by tomorrow morning.

Specifically it looks like there is only one day's worth of machine usage data.

Need to label each library computer with 'window', 'dual monitor', 'quiet floor', or any combination of the three.

Does anyone know how to revert a specific commit in master? I pushed to the wrong branch.

On the bright side, it's just develop with a few more lines in the GSO Weather file.

We need to test our code in develop before merging into master - master is the gold standard that we really, really, don't want to screw up. Brown, do you have a test program in place? If not, can you respond with how you run your code so that we can look at it?

A function?

Find which computers used most total time per day (more than a certain amount of time?)