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.
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
)
The ID of a given MP asking an oral question, or a list of
MP Ids. Defaults to NULL
.
The name of a department, or a list of
departments. Defaults to NULL
.
Only includes questions answered on or after this date.
Accepts character values in 'YYYY-MM-DD'
format, and objects of
class Date
, POSIXt
, POSIXct
, POSIXlt
or anything
else that can be coerced to a date with as.Date()
. ]
Defaults to '1900-01-01'
.
Only includes questions answered on or before this date.
Accepts character values in 'YYYY-MM-DD'
format, and objects of class
Date
, POSIXt
, POSIXct
, POSIXlt
or anything else
that can be coerced to a date with as.Date()
. Defaults to the current
system date.
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
.
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 to TRUE
.
The style to convert variable names to, if
tidy = TRUE
. Accepts any style accepted by to_any_case.
Defaults to 'snake'
.
If TRUE
, displayes messages on the console on the
progress of the API request. Defaults to TRUE
.
A tibble with details on all oral questions in the House of Commons.
if (FALSE) {
# 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")
)
}