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ReadMe
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Author: Ruei-Min Lin
Note: The Python version in my environment is 2.7.9
Base Challenge
--------------------------------
usage
python ecdf.py --school "Port Chester University" input_file1.csv input_file2.csv
algorithm
given scores[] (of students in a specific school) and percentile p,
the percentile value (output) should be [0].extend(scores)[p/100 * (N+1)]
i.e.
when p = 0 * 100/(N+1) ~ 1 * 100/(N+1) => output = 0
when p = 1 * 100/(N+1) ~ 2 * 100/(N+1) => output = scores[0]
...
when p = (k-1) * 100/(N+1) ~ k * 100/(N+1) => output = scores[k]
...
when p = N * 100/(N+1) ~ (N+1) * 100/(N+1) => output = scores[N-1] highest score among students
Bonus Challenge #1
--------------------------------
note
The client MUST be able to access the network since I use some external resources (jquery files).
client.py and server.py both use port 8000, and it could be changed easily if port 8000 is occupied:
server.py:8 PORT = 8000 # change 8000 to whatever port you want to use
client.py:29 localhost:8000 # change 8000 to whatever port you want to use
server usage
python server.py --school "Port Chester University" input_file1.csv input_file2.csv
client usage
python client.py X Y
or using any modern web browser to url http://localhost:8000 (the default port could be configured in server.py)
output
client would print out what it got from server;
server would log requests in the file request_history.log
Bonus Challenge #2
--------------------------------
note
MUST install plenty of dependent libs such as matplotlib, scipy, statsmodels ...etc.
It might take an hour to download and install.
In case that your environment not works, I backup my local result into demo.png.
The simulation input is generated by test.py
usage
python visual.py --school "Port Chester University" input_file1.csv input_file2.csv