Uses pandas to analyze the public Medicare data on nursing homes and their deficiencies.
'getting_json.py' uses Medicare's API to retrieve the data and then cleans the data for use in 'data_manipulation.py' Within 'data_manipulation.py' there are multiple distinct functions that are all callable from within the basic UI. The functions available allow the user to perform the following:
- PRODUCE A DataFrame WITH THE TOTAL NUMBER OF DEFICIENCIES FOR EACH PROVIDER
- PRODUCE A DataFrame WITH THE TOTAL NUMBER OF OCCURRENCES OF EACH SEVERITY LEVEL
- PRODUCE A DataFrame WITH THE TOTAL NUMBER OF EACH SEVERITY LEVEL BY PROVIDER
- PRODUCE A DataFrame WITH THE TOTAL NUMBER OF EACH F TAG ALONG WITH THEIR TYPES AND DESCRIPTIONS
- PRODUCE A DataFrame WITH THE TOTAL NUMBER OF EACH F TAG BY PROVIDER
- CHART THE NUMBER OF DEFICIENCIES OVER TIME
- CHART THE NUMBER OF DEFICIENCIES A ORGANIZATION OR INDIVIDUAL IS RESPONSIBLE FOR OVER TIME
- RETURN EVERY PROVIDER ASSOCIATED WITH A GROUP OF OWNERS, GIVEN AN ORIGINAL PROVIDER