pre correlation branch commit
basic correlation/suggestion algorithm
add to datasuggestion to refine correlation results
Updates to datasuggestion and fix steps
Split GetCoef into 2 functions; 1 for Spurious, 1 for Pearson. Changed "amount" to more genweral "value" for clarity. Now pass in table's date and value column names instead of randomly generating them.
Added visual correlation method - needs tweaking and whole file needs refactoring as messy code now but it works
Refactored data suggestion algorithm, added labeling method
datasggestion now creates json for graphing outputs directly, started on "hot or not" validation
Added credit/discredit rating and ranking system. Added looped correlation generation. Put JSON data into proper format
scraping stuff
dismiss scrape test
Merge branch 'feature/correlation' into feature/visualisations

Conflicts:
	src/dataplay/datasuggestion.go