cincinnati-oh-gov/private-lot-abatement-program-pk9w-99n6
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Private Lot Abatement Program

Data Description: The Private Lot Abatement Program (PLAP) is a program of cleaning and abatement of private lots through code enforcement. Properties that have received multiple citations for the same violation without response are included in PLAP for abatement and ongoing maintenance by the Neighborhood Operations Division (NOD) of the Department of Public Services (DPS)

Data Creation: Abatements and cleanings of PLAP properties are recorded by NOD

Data Created By: DPS

Refresh Frequency: Daily

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/Private-Lot-Abatement-Program-PLAP-/55ef-pfz7/

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Querying over HTTP

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

curl https://data.splitgraph.com/sql/query/ddn \
    -H "Content-Type: application/json" \
    -d@-<<EOF
{"sql": "
    SELECT *
    FROM \"cincinnati-oh-gov/private-lot-abatement-program-pk9w-99n6\".\"private_lot_abatement_program\"
    LIMIT 100 
"}
EOF

See the Splitgraph documentation for more information.

 
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