README

chiOpenData provides simple, reproducible access to Chicago-related datasets from the
Chicago Open Data Portal platform — directly from R, with no API keys or manual downloads required. Working directly with Socrata APIs can be cumbersome — chiOpenData simplifies this process into a clean, reproducible workflow.

Version 0.1.0 introduces a streamlined, catalog-driven interface for Chicago Open Data, extending the open data ecosystem beyond New York to support cross-city analysis and comparative civic research.

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

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

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

Installation

Development version (GitHub)

devtools::install_github("martinezc1/chiOpenData")

Example

library(chiOpenData)

crime_data <- chi_pull_dataset(
  dataset = "crimes_2001_to_present",
  limit = 1000
)

head(crime_data)
#> # A tibble: 6 × 33
#>         id case_number date                block  iucr  primary_type description
#>      <dbl> <chr>       <dttm>              <chr>  <chr> <chr>        <chr>      
#> 1 14154731 JK202681    2026-04-01 00:00:00 032XX… 1150  DECEPTIVE P… CREDIT CAR…
#> 2 14154065 JK202226    2026-04-01 00:00:00 042XX… 2027  NARCOTICS    POSSESS - …
#> 3 14153495 JK201347    2026-04-01 00:00:00 004XX… 2826  OTHER OFFEN… HARASSMENT…
#> 4 14158479 JK207388    2026-04-01 00:00:00 002XX… 2825  OTHER OFFEN… HARASSMENT…
#> 5 14156762 JK205044    2026-04-01 00:00:00 117XX… 1750  OFFENSE INV… CHILD ABUSE
#> 6 14153888 JK201795    2026-04-01 00:00:00 069XX… 0486  BATTERY      DOMESTIC B…
#> # ℹ 26 more variables: location_description <chr>, arrest <lgl>,
#> #   domestic <lgl>, beat <dbl>, district <dbl>, ward <dbl>,
#> #   community_area <dbl>, fbi_code <chr>, x_coordinate <dbl>,
#> #   y_coordinate <dbl>, year <dbl>, updated_on <dttm>, latitude <dbl>,
#> #   longitude <dbl>, computed_region_awaf_s7ux <dbl>,
#> #   computed_region_6mkv_f3dw <dbl>, computed_region_vrxf_vc4k <dbl>,
#> #   computed_region_bdys_3d7i <dbl>, computed_region_43wa_7qmu <dbl>, …

About

chiOpenData makes Chicago’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, chiOpenData is specifically tailored for Chicago Open Data Portal.

This package is part of a broader ecosystem of tools for working with open data:

Together, these packages provide a consistent, user-friendly interface for working with civic data across jurisdictions.

Contributing

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

chiOpenData