Supervisor Inspections are conducted by Park Supervisors in order to assess the conditions and identify issues at parks in their districts. Park Supervisors follow the standards set out in the Parks Inspection Program (PIP) Inspection Manual but are not trained in the protocol to the same degree as PIP inspectors, and supervisor inspections are not subject to the thorough review that PIP inspections receive. During the course of an inspection, Park Supervisors separately rate each feature within a park. This table contains the features inspected, with ratings and notes for each feature. Overall results and inspection-level records are contained in the Parks Supervisor Inspections - Inspection Results dataset; each row in this table represents one inspection of an individual property (park, playground, or zone). Specific feature-level records are contained in the Parks Supervisor Inspections - Feature Findings dataset; each row in this table represents the specific feature's details/rating from each inspection. Data Dictionary: https://docs.google.com/spreadsheets/d/17nwvIsPdAInf-DzGAcwq8hu6SXIzQYabUDktw3BwwLY/edit#gid=1553660070

Supervisor Inspections are conducted by Park Supervisors in order to assess the conditions and identify issues at parks in their districts. Park Supervisors follow the standards set out in the Parks Inspection Program (PIP) Inspection Manual but are not trained in the protocol to the same degree as PIP inspectors, and supervisor inspections are not subject to the thorough review that PIP inspections receive. During the course of an inspection, Park Supervisors separately rate each feature within a park. This table contains the features inspected, with ratings and notes for each feature. Overall results and inspection-level records are contained in the Parks Supervisor Inspections - Inspection Results dataset; each row in this table represents one inspection of an individual property (park, playground, or zone). Specific feature-level records are contained in the Parks Supervisor Inspections - Feature Findings dataset; each row in this table represents the specific feature's details/rating from each inspection. Data Dictionary: https://docs.google.com/spreadsheets/d/17nwvIsPdAInf-DzGAcwq8hu6SXIzQYabUDktw3BwwLY/edit#gid=1553660070

공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.)

A. SUMMARY This dataset provides review time metrics for the San Francisco Planning Department’s application review process. The following metrics are provided: total days to Planning approval, days to finish completeness review, days to first check plan letter, and days to complete resubmission review. Targets for each metric and outcomes relative to these targets are also included. These metrics allow for ongoing tracking for individual planning projects and for the calculation of summary statistics for Planning review timelines. There are both Project level metrics and project event level metrics in this table. You can see a dashboard which shows the City's current permit processing performance on sf.gov. B. HOW THE DATASET IS CREATED Planning application review is tracked within Planning’s Project and Permit Tracking System (PPTS). Planners enter review period start and end dates in PPTS when review milestones are reached. Review timeline data is extracted from PPTS and review timelines and outcomes are calculated and consolidated within this dataset. The dataset is generated by a data model that pulls from multiple raw Accela sources and joins them together. C. UPDATE PROCESS This dataset is updated daily overnight. D. HOW TO USE THIS DATASET Use this dataset to analyze project level timelines for planning projects or to calculate summary metrics related to the planning review and approval processes. The review metric type is defined in the ‘project stage’ column. Note that multiple rounds of completeness check review and resubmission review may occur for a single Planning project. The ‘potential error’ column flags records where data entry errors are likely present. Filter out rows where a value is entered in this column before building summary statistics. E. RELATED DATASETS

A. SUMMARY This data set reports key performance metrics for departments and programs in the City and County of San Francisco. B. HOW THE DATASET IS CREATED City departments report updates about their key metrics to the Controller’s Office. The Controller's Office uses an online application to collect and organize this data. Departments update most metrics once or twice each year. Some metrics may not display data for every year. C. UPDATE PROCESS Most metrics update twice each year. Updates with results for the first 6 months of each fiscal year are published in the spring, typically between April and May. Updates with results for each full fiscal year are published in the fall, typically in November. D. HOW TO USE THIS DATASET Each row represents one metric and one fiscal year for a department, with multiple values for each fiscal year. Some metrics do not include values for all fields or fiscal years. Some results for the latest fiscal year are unavailable because of known lags in reporting. Users should review any data notes reported for each row for guidance about interpreting values. All values are reported as numbers without formatting, but the column [Measure Data Type] describes the intended format. For example, a value appearing as “0.50” with [Measure Data Type] reported as “Percent” should be displayed as “50%”.

The Security Department ensures the safety and security of patrons, employees and facilities in Chicago’s Parks. The data that is displayed below represents the total number of security checks that staff made during the previous week.

This dataset contains overall ratings associated with property inspections. Each row represents an individual inspection. Data Dictionary and User Guide can be found here: https://docs.google.com/spreadsheets/d/17LSfFUkhHPHJS4hszOYMVmVyU3xVF7J_dILhtIwWKKA/edit?usp=sharing A complete list of all datasets in the series can be found here.