INTRODUCTION
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These scripts were used in the "Visualizing printer activity at Princeton University" project at http://www.princeton.edu/~saha/printers/

SCRIPTS
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- background.py collects data over time
- compounder.py takes column name by command line arguments and outputs all the values that column takes over time
- categorizer.py goes down data.csv and keeps a running record of the number of printers of each type at each data point.
- likelihood.py computes likelihood of printers being available

USAGE
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python compounder.py data.csv -status > statusValues.txt
python categorizer.py data.csv -datetime > datetimeValues.txt
python graph1.py datetimeValues.txt