View source: R/nyc_pull_dataset.R
| nyc_pull_dataset | R Documentation |
Downloads a dataset from the NYC Open Data Socrata API using either a human-readable catalog 'key' or the official Socrata dataset 'uid' returned by [nyc_list_datasets()].
nyc_pull_dataset(
dataset,
limit = 10000,
filters = list(),
date = NULL,
from = NULL,
to = NULL,
date_field = NULL,
where = NULL,
order = NULL,
timeout_sec = 30,
clean_names = TRUE,
coerce_types = TRUE
)
dataset |
A single dataset 'key' or Socrata dataset 'uid' from [nyc_list_datasets()]. For example, a key may look like '"x311_service_requests_from_2020_to_present"', while a UID may look like '"erm2-nwe9"'. |
limit |
Number of rows to retrieve. Defaults to 10,000. |
filters |
Optional named list of exact-match filters. Each list name should be a field name in the dataset, and each value should be the value or values to match. Vector values are translated into SQL-style 'IN' conditions in the generated SoQL query. For example, 'filters = list(borough = c("BROOKLYN", "QUEENS"))' returns rows where 'borough' is either '"BROOKLYN"' or '"QUEENS"'. |
date |
Optional single date used to match all records from that day. Requires 'date_field'. |
from |
Optional start date, inclusive. Requires 'date_field'. |
to |
Optional end date, exclusive. Requires 'date_field'. |
date_field |
Optional date or datetime column to use with 'date', 'from', or 'to'. This must be supplied when any date filter is used. Users can identify available date columns by inspecting the dataset on the NYC Open Data Portal or by pulling a small sample with 'limit'. |
where |
Optional raw SoQL 'WHERE' clause for advanced filtering. SoQL is the Socrata Query Language used by NYC Open Data. If 'date', 'from', or 'to' are also supplied, their generated conditions are combined with 'where' using 'AND'. |
order |
Optional raw SoQL 'ORDER BY' clause, such as '"created_date DESC"'. |
timeout_sec |
Request timeout in seconds. Defaults to 30. |
clean_names |
Logical. If 'TRUE', column names are converted to snake_case using [janitor::clean_names()]. Defaults to 'TRUE'. |
coerce_types |
Logical. If 'TRUE', the package attempts lightweight, heuristic-based type coercion after downloading the data. Columns are converted only when at least 95 percent of non-missing values can be parsed as the target type. This helps avoid unsafe conversions when source data are inconsistent. |
When a catalog 'key' is supplied, 'nyc_pull_dataset()' first retrieves the live NYC Open Data catalog to look up the corresponding Socrata 'uid', then sends a second request to download the dataset itself. Supplying a 'uid' directly is more stable and avoids ambiguity, while keys are provided for readability and classroom-friendly workflows.
Dataset keys are generated from dataset names using [janitor::make_clean_names()]. Because keys are derived from live catalog metadata, Socrata UIDs are the most stable identifiers.
'nyc_pull_dataset()' is designed for common catalog-based workflows. For arbitrary Socrata JSON endpoints that are not included in the package catalog, use [nyc_any_dataset()].
The 'filters' argument is intended for simple exact-match filtering. For more complex conditions, use the 'where' argument with raw SoQL syntax.
Internally, filter field names are wrapped in 'TRIM()' when constructing SoQL queries to reduce mismatches caused by leading or trailing whitespace in source data.
Type coercion is intentionally conservative. When 'coerce_types = TRUE', the package attempts to infer common R column types from the API response, but columns with inconsistent values may remain character columns.
Datetime coercion is also conservative. Timezone offsets and sub-second precision may not always be preserved during automatic parsing, and columns with inconsistent datetime formats may remain character columns.
A tibble containing rows from the requested NYC Open Data dataset.
if (interactive() && curl::has_internet()) {
# Pull by human-readable key
nyc_pull_dataset("x311_service_requests_from_2020_to_present", limit = 3)
# Pull by Socrata UID
nyc_pull_dataset("erm2-nwe9", limit = 3)
# Filter to one borough
nyc_pull_dataset(
"erm2-nwe9",
limit = 3,
filters = list(borough = "QUEENS")
)
# Filter to multiple boroughs
nyc_pull_dataset(
"erm2-nwe9",
limit = 10,
filters = list(borough = c("BROOKLYN", "QUEENS"))
)
# Date filtering
nyc_pull_dataset(
"erm2-nwe9",
from = "2023-01-01",
to = "2024-01-01",
date_field = "created_date",
limit = 100
)
# Advanced filtering with raw SoQL
nyc_pull_dataset(
"erm2-nwe9",
where = "borough = 'BROOKLYN' AND agency = 'NYPD'",
order = "created_date DESC",
limit = 100
)
}
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