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Exploratory Data Analysis (Time Series) #197
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From eyeballing plots of various floors/buildings (IPython notebook link with plots below), there's a couple observations that I've made:
However, we can still see some people in buildings (Lerner for example) past closing time. For some of these plots, though, it's a bit difficult to tell whether it's a handful of people loitering past hours or it's other devices in the building (like printers/desktops); for example, as the last plot in the IPython notebook shows, on 11/01/14, Avery 2 constantly had some number of devices counted, which I'm guessing are printers or something. Link to IPython Notebook: https://github.com/afy2103/Density-Data-Analysis/blob/master/density.ipynb |
@afy2103 Nice work. I've made a pull request (alexander-yu/Density-Data-Analysis#1) with some technical comments about the analysis. A couple of high-level comments:
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Got it; thanks for the edits/comments. Apologies about the code being hacked together as it was (and I should probably get familiar with the pandas documentation more). Should I incorporate the edits in your version of the IPython notebook into mine without merging the commits? I'll get some autocorrelation plots together, and also address that hole in the data in a later post. |
Update:
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Use .csv dump and get sense of data.
Questions:
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