legislatoR (version 1.1.0)

get_political: Fetch 'Political' table

Description

Fetches political data of legislators for the specified legislature. Requires a working Internet connection.

Usage

get_political(legislature)

Value

A data frame with columns as specified above.

Format

Data frame in long format with columns (varies by legislature):

• pageid: Wikipedia page ID identifying a legislator's Wikipedia biography (of class ‘integer’).

• session: Legislative period (of class ‘integer’).

• party: A legislator's party affiliation (of class ‘character’). See https://github.com/saschagobel/legislatoR for the full form of abbreviated party names and english translations of non-english party names

• constituency: A legislator's constituency (of class ‘character’).

• constituency2: A legislator's constituency (upper level, if applicable, of class ‘character’).

• constituency_id: ID of a legislator's constituency (of class ‘character’).

• session_start: Date the legislative period started (of class ‘Date’).

• session_end: Date the legislative period ended (of class ‘Date’).

• service: A legislator's period of service in days during the respective session (of class ‘integer’)

• government (or similar): Indicator of a legislator's majority status in parliament (of class ‘logical’). Further columns with extensions of this might exist.

• leader (or similar): Indicator of a legislator's leader status in parliament (of class ‘logical’). Further columns with extensions of this might exist.

Arguments

legislature

A character string specifying the three-letter country code of the legislature for which data shall be fetched. Currently one of ‘aut’, ‘can’, ‘cze’, ‘esp’, ‘fra’, ‘deu’, ‘irl’, ‘sco’, ‘gbr’, ‘usa_house’, or ‘usa_senate’.

Examples

# Get entire 'Political' table for the Czech Poslanecka Snemovna
cze_political <- get_political(legislature = "cze")
tibble::glimpse(cze_political)

# Get 'Political' table for female DSP party members of the Czech Poslanecka Snemovna
cze_political_subset <- dplyr::semi_join(x = dplyr::filter(cze_political,
                                                           party == "ODS"),
                                         y = dplyr::filter(get_core(legislature = "cze"),
                                                           sex == "female"),
                                         by = "pageid")
tibble::glimpse(cze_political_subset)