includes prior years

Analytical and graphic reqpresentation of features of the current Councilmanic Districts.

This dataset contains a list of the dangerous buildings that are scheduled to be demolished through the $10,000,000 demolition program.

How is this different than the dangerous buildings list? - This is a list of the structures that are being demolished through the $10M program. Additional cases will only be added to the $10M Demolition list for emergency reasons, however as the city discovers new dangerous buildings they will be added to the Dangerous Buildings List.

Land Bank Data

This data set includes the location of bus stops.

This dataset contains results from 311 customer surveys. Someone who calls 311 for an issue is sent a small survey after the City believes it has addressed the issue. Not everyone is surveyed, due to some calls being anonymous, or not being able to locate the requester's mailing address.

Results are provided on a 1-5 scale. 1 is unacceptable, 2 is poor, 3 is acceptable, 4 is good, 5 is excellent.

Because the cards are physically mailed out there is a time delay between when a service request is closed and when the City is able to enter the survey results into our system. This data set refreshed daily.

Multiple results per 311 case are possible due to multiple people requesting the same service for the same location. For example, if 10 people ask 311 to have the City repaint a crosswalk at 12th and Grand Street, each of them will be mailed a survey and the results will show in this dataset.

This dataset was provided by the City Planning and Development Department and contains population figures for each Kansas City, Missouri Neighborhood according to the 2010 Census.

listing of building permits for new construction, demolition and additions/alterations/repairs and their characteristics

This dataset contains basic data for each page on kcmo.gov. The data is monthly aggregate data and contains every page on the kcmo.gov domain.

This data is pulled directly from Google Analytics into R via the RGoogleAnalytics package (https://github.com/Tatvic/RGoogleAnalytics). The data is then manipulated to change variable names (column headers) and to assign a row ID and sort them in the order page title > Year Month.