Dataframe: gonzalorrd/nyc-apartment-search:neighborhoods - Neighborhoods

Dataframe: gonzalorrd/nyc-apartment-search:neighborhoods - Neighborhoods#

Aggregates of the Buildings table. Missing costs stay missing; they are never filled with zero.

DataFrame Glimpse#

Rows: 16
Columns: 5
$ neighborhood          <str> 'Weehawken'
$ buildings             <i64> 1
$ units                 <i64> 0
$ eligible_units        <i64> 0
$ cheapest_monthly_cost <f64> null


Dataframe Manifest#

Dataframe Name

Neighborhoods

Dataframe ID

neighborhoods

Sources

Derived from Buildings and Units

Providers

Our own research

Provider Links

Gonzalorrd/nyc-apartment-hunter

Tags

Access Types

Public

How is data pulled?

Group-by of the Buildings table

Data available up to (min)

N/A

Data available up to (max)

N/A

Dataframe Path

/home/runner/work/nyc-apartment-hunter/nyc-apartment-hunter/share/_data/neighborhoods.parquet

Linked Charts:

Pipeline Manifest#

Pipeline Name

NYC apartment search: share-site pipeline

Pipeline ID

gonzalorrd/nyc-apartment-search

Maintainer

Gonzalorrd

Contributors

Repository

Gonzalorrd/nyc-apartment-hunter

Pipeline Web Page

Pipeline Web Page

Date of Last Code Update

2026-10-21 01:22:04

OS Compatibility

Windows, Linux

Linked Dataframes

gonzalorrd/nyc-apartment-search:buildings
gonzalorrd/nyc-apartment-search:units
gonzalorrd/nyc-apartment-search:neighborhoods

Build Commands:

uv run doit