hansard (version 0.5.0)

sessions_info: Imports data on Parliamentary Sessions. Note that due to the date format used by the API, if days==TRUE and the end_date and start_date parameters are not set to the default values, the function downloads all available data and then subsets the tibble between the two given dates.

Description

Imports data on Parliamentary Sessions. Note that due to the date format used by the API, if days==TRUE and the end_date and start_date parameters are not set to the default values, the function downloads all available data and then subsets the tibble between the two given dates.

Usage

sessions_info(days = FALSE, start_date = "1900-01-01",
  end_date = Sys.Date(), extra_args = NULL, tidy = TRUE,
  tidy_style = "snake_case")
hansard_sessions_info(days = FALSE, start_date = "1900-01-01",
  end_date = Sys.Date(), extra_args = NULL, tidy = TRUE,
  tidy_style = "snake_case")

Arguments

days

If TRUE, returns data for all available days. If FALSE, returns data on each parliamentary session. Defaults to FALSE.

start_date

The earliest date to include in the tibble. Defaults to '1900-01-01'. Accepts character values in 'YYYY-MM-DD' format, and objects of class Date, POSIXt, POSIXct, POSIXlt or anything else than can be coerced to a date with as.Date().

end_date

The latest date to include in the tibble. Defaults to current system date. Defaults to '1900-01-01'. Accepts character values in 'YYYY-MM-DD' format, and objects of class Date, POSIXt, POSIXct, POSIXlt or anything else than can be coerced to a date with as.Date().

extra_args

Additional parameters to pass to API. Defaults to NULL.

tidy

Fix 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.

tidy_style

The style to convert variable names to, if tidy = TRUE. Accepts one of 'snake_case', 'camelCase' and 'period.case'. Defaults to 'snake_case'.

Value

A tibble with details on parliamentary sessions.

Examples

# NOT RUN {
x <- sessions_info(days=TRUE)

y <- sessions_info(days=FALSE)

# }