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_case", 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_case", 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 one of 'snake_case', 'camelCase'
and 'period.case'. Defaults to 'snake_case'.
If TRUE, returns data to console on the progress
of the API request. Defaults to TRUE.
A tibble with details on all oral questions in the House of Commons.
# NOT RUN {
x <- commons_oral_questions(mp_id=4019, answering_department = 'education')
x <- commons_oral_questions(mp_id=c(4019,4051,4588),
answering_department = c('education', 'health'))
# }
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