1. The New York City Department of Buildings maintains a dataset that records all complaints made to the department. This particular set covers 2013. The complaints range from malfunctioning elevators, boilers and electrical wiring to unsafe working conditions at construction sites. I think that the most interesting visualization would be a map of complaints regarding vital building hardware. It would work as a service piece to those that live in these buildings as well as prospective buyers and renters. Highlighting those with repeated complaints that have been open for an extended period of time could expose negligent landlords. https://nycopendata.socrata.com/Housing-Development/DOB-Complaints-Received/eabe-havv?
2. This dataset is maintained by the federal Centers for Medicare and Medicaid Services. It contains the data from the Hospital Consumer Assessment of Healthcare Providers and Systems, a national, standardized survey of hospital patients about their experiences during inpatient hospital stays in 2013. This is a large dataset that would be difficult to visualize. The best approach would likely be a large map with all of the data with the option to narrow the data down to a specific area or zip code. Would also like to connect this in someway to the voluminous amounts of data present on social media sites like google plus and yelp. Would be a fairly broad service piece that would be interesting to most but espiecally the elderly and chronically ill. https://data.medicare.gov/Hospital-Compare/Survey-of-Patients-Hospital-Experiences-HCAHPS-/rj76-22dk
3. This dataset is also maintained by the Center for Medicare and Medicaid Services. This contains data on hospital costs organized by hospital and specific operation throughout 2013. Costs are averaged out by charges paid by patient and costs covered by insurance with a separate cell that provides information on the number of patients. Similarly to the hospital survey data this would probably be best visualized as a large map with all of the data as well as several graphs and charts to highlight the major differences. This would also be a great service piece for those in constant contact with hospitals as well as the average reader. However unlike the survey data this data is going to be much harder to work. How do you accurately break down averaged costs?
4. These datasets are maintained by the federal National Highway Traffic Safety Agency, the federal Railroad Safety Administration and the National Transportation Safety Board respectively. This data would again be best demonstrated over a large map (they actually have location codes for all the accidents) with the option to filter out methods of transportation and see them individually as well as all at once. This data would also be complimented nicely by some comparative graphs and charts showing the differences between modes of transportation fatalities.