updating a series of py scripts for SP Reputation analysis

[TorfinnOlsen]

• spReputationAnalysis.py

Will hit the mongoDB and give you a high level cursory analysis of similarities between collections, list of collections and unique ones in the different tables, and samples from each of them so you can get a visual recognition of what's in these DB's. Run this first and you've got a good starting point of what you're looking at. Also gives you the most recent date a record was added to give you a sense of when the table was last updated.

• spReputationDateAnalysis.py

Hits Mongo online and does a more indepth analysis of the date ranges of records so you know what's covered in each of the DB's you're looking at.

• spReputationExport.py

This will export all of the DB's in TOTAL (they're pretty small less than a gig but still quite a bit to try and load up in a google sheet) to csv's.

• load_csvs.py

This assumes you've installed pandas, and will load everything up into data frames so you can do a cleaning process across all the data as one set and start analysis of dates of occurrences, frequency, etc. I think I can bang out a handful of scripts that do this high level here.

[willscott]

Your PR doesn't include the contents of these scripts yet