Over 20 distinct metrics, including OvCond (overall condition) and counts of amenities like ToiletsAm and SoapDispAm, are recorded for each individual room inspection. The dataset is part of the New York City Parks Inspection Program series, maintained by the City of New York and last updated in March 2026. Each row represents a single inspection event for a public restroom room.
Use Cases
- Predict OvCond (overall condition) from amenity counts like ToiletsAm, SinksAm, and HandDryersAm using classification models.
- Analyze correlations between amenity availability (e.g., PaperTowelDispComm, SoapDispComm) and closure status (isClosed).
- Cluster inspection records based on amenity types and counts to identify common facility profiles.
- Forecast maintenance needs by modeling trends in OvCond ratings over time for specific PRNumber locations.
- Detect anomalies in inspection reports where isOfficially flag and recorded amenity counts show discrepancies.
Strengths
- Dataset provides 22 detailed columns for granular analysis of restroom conditions and amenities.
- Inspection-level granularity allows for tracking individual room performance over time.
Limitations
- Sample size and total row count are unknown, limiting assessment of statistical power.
- Temporal coverage and update frequency are unspecified, hindering trend analysis.
- Geographic scope is implied but not explicitly stated, potentially limiting generalizability.
Provenance
- Source
- New York City Parks Inspection Program, via data.cityofnewyork.us.
- Collection Method
- Collected through municipal inspection programs, as indicated by the InspectionID and related fields.
- Time Range
- null
- Freshness
- Last updated March 2026, indicating active maintenance.
- Geography
- Likely New York City, based on the data source organization.