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nycOpenData

Version 0.2.1 introduces a streamlined, catalog-driven interface for NYC Open Data.

Instead of maintaining dozens of individual dataset wrappers, the package now provides three core functions:

• nyc_list_datasets() — Browse available datasets from the live NYC Open Data catalog
• nyc_pull_dataset() — Pull any cataloged dataset by key, with filtering, ordering, and optional date controls
• nyc_any_dataset() — Pull any NYC Open Data dataset directly via its Socrata JSON endpoint

The catalog currently includes 30+ curated NYC Open Data datasets, covering topics such as:

• 311 Service Requests
• For-Hire Vehicles (FHV)
• Juvenile Justice (rearrest rates + caseloads)
• School Discharge Reporting
• Violent & Disruptive School Incidents
• Detention Admissions
• Borough/Community District Reports
• Street Tree Census
• Urban Park Ranger Animal Condition Responses
• Permitted Events (Historical)
• and more

Datasets pulled via nyc_pull_dataset() automatically apply sensible defaults from the catalog (such as default ordering and date fields), while still allowing user control over:

• limit
• filters
• date / from / to
• where
• order
• clean_names
• coerce_types

This redesign reduces maintenance burden, improves extensibility, and provides a more scalable interface for working with NYC Open Data.

All functions return clean tibble outputs and support filtering via
filters = list(field = "value").

Installation

From CRAN

install.packages("nycOpenData")

Development version (GitHub)

devtools::install_github("martinezc1/nycOpenData")

Example

library(nycOpenData)

# Get 5,000 most recent 311 requests
data <- nyc_pull_dataset(key = "nyc_311", limit = 5000)

# Filter by agency and city
filtered <- nyc_pull_dataset(
  key = "nyc_311",
  limit = 2000,
  filters = list(agency = "NYPD", city = "BROOKLYN")
)

head(filtered)

## # A tibble: 6 × 37
##   unique_key created_date           agency agency_name complaint_type descriptor
##   <chr>      <chr>                  <chr>  <chr>       <chr>          <chr>     
## 1 67613985   2026-01-26T02:06:05.0… NYPD   New York C… Noise - Resid… Banging/P…
## 2 67609553   2026-01-26T02:02:09.0… NYPD   New York C… Noise - Resid… Banging/P…
## 3 67610990   2026-01-26T01:58:58.0… NYPD   New York C… Illegal Parki… Blocked H…
## 4 67615428   2026-01-26T01:56:49.0… NYPD   New York C… Noise - Resid… Banging/P…
## 5 67609568   2026-01-26T01:48:16.0… NYPD   New York C… Noise - Resid… Loud Musi…
## 6 67612476   2026-01-26T01:47:10.0… NYPD   New York C… Noise - Resid… Loud Musi…
## # ℹ 31 more variables: location_type <chr>, incident_zip <chr>,
## #   incident_address <chr>, street_name <chr>, cross_street_1 <chr>,
## #   cross_street_2 <chr>, intersection_street_1 <chr>,
## #   intersection_street_2 <chr>, address_type <chr>, city <chr>,
## #   landmark <chr>, status <chr>, community_board <chr>,
## #   council_district <chr>, police_precinct <chr>, bbl <chr>, borough <chr>,
## #   x_coordinate_state_plane <chr>, y_coordinate_state_plane <chr>, …

Learn by example

• vignette("nyc-311", package = "nycOpenData") – Working with NYC 311 data end-to-end

About

nycOpenData makes New York City’s civic datasets accessible to students,
educators, analysts, and researchers through a unified and user-friendly R interface.
Developed to support reproducible research, open-data literacy, and real-world analysis.

Comparison to Other Software

While the RSocrata package provides a general interface for any Socrata-backed portal, nycOpenData is specifically tailored for the New York City ecosystem.

• Ease of Use: No need to hunt for 4x4 dataset IDs (e.g., erm2-nwe9); use nyc_pull_dataset() with a human-readable catalog key.
• Pre-configured Logic: Wrappers include default sorting (e.g., created_date DESC) and optimized limit handling specific to NYC’s massive data volumes.
• Open Literacy: Designed specifically for students and researchers to lower the barrier to entry for civic data analysis.

Contributing

We welcome contributions! If you find a bug or would like to request a wrapper for a specific NYC dataset, please open an issue or submit a pull request on GitHub.

Authors & Contributors

Maintainer

Christian A. Martinez 📧 c.martinez0@outlook.com
GitHub: @martinezc1

✨ Contributors

Special thanks to the students of PSYC 7750G – Reproducible Psychological Research at Brooklyn College (CUNY) who have contributed functions and documentation:

• Crystal Adote (@crystalna20)
• Jonah Dratfield (@jdratfield38)
• Joyce Escatel-Flores (@JoyceEscatel)
• Rob Hutto (@robhutto)
• Isley Jean-Pierre (@ijpier)
• Shannon Joyce (@shannonjoyce)
• Laura Rose-Werner (@laurarosewerner)
• Emma Tupone (@emmatup0205)
• Xinru Wang (@xrwangxr)

Academic Context

This package is developed as a primary pedagogical tool for teaching data acquisition and open science practices at Brooklyn College, City University of New York (CUNY).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.