Prepare feature data from 'matched_Fire_Safety_Complaints.csv'

[stahlerk]

1. Subset data to potentially useful features
2. Detect and remove outliers
3. Consider dropping complaints with 'No merit' in the 'Disposition' column
4. Consider organizing "Complaint Item Type Description" column into more generalized groups (if appropriate)
5. Collapse data at EAS level
6. Create any potentially relevant features (for example, total number of complaints b/w 2005-2016 associated with EAS, etc.)
7. Any other data cleaning and standardization operations
8. Output as .csv (indexed at EAS)