Dallas's 311 system recorded over 400 types of service requests affecting citizen quality of life from October 1, 2019, to September 30, 2020. Common request types included animal services, high weeds, junk vehicles, street repairs, and environmental concerns. The data was published by www.dallasopendata.com.
Use Cases
- Predict `ERT (Estimated Response Time)` based on `Service Request Type`, `Priority`, and `City Council District` using regression models.
- Analyze temporal patterns in `Created Date` and `Closed Date` to identify seasonal spikes for specific `Service Request Type` categories.
- Cluster `Lat_Long Location` data with `Service Request Type` to map geographic hotspots for issues like potholes or illegal dumping.
- Classify `Outcome` success rates by `Department` and `Method Received Description` to evaluate service channel effectiveness.
Strengths
- Covers a full fiscal year from October 2019 to September 2020.
- Includes geospatial coordinates via the `Lat_Long Location` column.
- Tracks request lifecycle with `Created Date`, `Closed Date`, and `Status` columns.
Limitations
- Unknown total row count prevents assessment of dataset scale.
- Limited to one city (Dallas) for one year, reducing generalizability.
- Data freshness is low, last updated in August 2021 and not covering recent periods.
Provenance
- Source
- www.dallasopendata.com
- Collection Method
- Collected from the city's 311 service request system.
- Time Range
- October 1, 2019 to September 30, 2020
- Freshness
- Data was last updated on 2021-08-05 and covers a period ending September 2020.
- Geography
- Dallas, Texas, USA