Imports data on House of Commons oral questions, based on the asking MP,
the answering department and the date. The mp_id and
answering_department parameters accept a single ID or department
names, or a list of IDs or department names, respectively.
Usage
commons_oral_questions(
mp_id = NULL,
answering_department = NULL,
start_date = "1900-01-01",
end_date = Sys.Date(),
extra_args = NULL,
tidy = TRUE,
tidy_style = "snake",
verbose = TRUE
)
hansard_commons_oral_questions(
mp_id = NULL,
answering_department = NULL,
start_date = "1900-01-01",
end_date = Sys.Date(),
extra_args = NULL,
tidy = TRUE,
tidy_style = "snake",
verbose = TRUE
)Arguments
- mp_id
The ID of a given MP asking an oral question, or a list of MP Ids. Defaults to
NULL.- answering_department
The name of a department, or a list of departments. Defaults to
NULL.- start_date
Only includes questions answered on or after this date. Accepts character values in
'YYYY-MM-DD'format, and objects of classDate,POSIXt,POSIXct,POSIXltor anything else that can be coerced to a date withas.Date(). ] Defaults to'1900-01-01'.- end_date
Only includes questions answered on or before this date. Accepts character values in
'YYYY-MM-DD'format, and objects of classDate,POSIXt,POSIXct,POSIXltor anything else that can be coerced to a date withas.Date(). Defaults to the current system date.- extra_args
Additional parameters and queries to pass to API. These queries must be strings and start with "&". See the API documentation or the package vignette for more details. Defaults to
NULL.- tidy
Logical parameter. If
TRUE, fixes the variable names in the tibble to remove special characters and superfluous text, and converts the variable names to a consistent style. Defaults toTRUE.- tidy_style
The style to convert variable names to, if
tidy = TRUE. Accepts any style accepted by to_any_case. Defaults to'snake'.- verbose
If
TRUE, displayes messages on the console on the progress of the API request. Defaults toTRUE.
Examples
if (FALSE) { # \dontrun{
# Oral questions from a single MP to a single department
x <- commons_oral_questions(mp_id = 4019, answering_department = "education")
## Questions from multiple MPs and to multiple departments
y <- commons_oral_questions(
mp_id = c(4019, 4051, 4588),
answering_department = c("education", "health")
)
} # }
