1) Find out which links are used the most by:
a. parsing logs
b. looking at reports http://mvhub.com/reports
2) Figuring out what the users think is most important
---This will require some research / thought from us
(the usual us)
If 1-b doesn't have needed info Sijing and Prya are learning regular
expressions so they might write a script help with 1-a.
Their script might
1) take as input the log file.
2) discard lines not related to mvhub navigation clicks
---ie to specific category, program or agency records
3) break the line into mvhub URLs
4) use the mvhub URLs as keys to a hash
5) ++ the value for the corresponding key
6) print key / value pairs
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Thanks for catching this premature closing
The next steps might be to :
1) Find out which links are used the most by: mvhub.com/ reports
a. parsing logs
b. looking at reports http://
2) Figuring out what the users think is most important
---This will require some research / thought from us
(the usual us)
If 1-b doesn't have needed info Sijing and Prya are learning regular
expressions so they might write a script help with 1-a.
Their script might
1) take as input the log file.
2) discard lines not related to mvhub navigation clicks
---ie to specific category, program or agency records
3) break the line into mvhub URLs
4) use the mvhub URLs as keys to a hash
5) ++ the value for the corresponding key
6) print key / value pairs
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