Information on the voting history of the United Nations General Assembly. Contains one row for each country-vote pair.
A data frame (specifically a tbl_df) with one row for each country-vote pair, and the following columns:
The roll call id; used to join with
Country name, by official English short name
2-character ISO country code
Vote result as a factor of yes/abstain/no
The original data included cases where a country was absent or was not yet a member. In this dataset these were filtered out to include only votes of Yes, Abstain, and No.
Country name can be converted to other unique country identifiers (such as 2-character or 3-character ISO codes) using the countrycode function from the countrycode package.
Erik Voeten "Data and Analyses of Voting in the UN General Assembly" Routledge Handbook of International Organization, edited by Bob Reinalda (published May 27, 2013) https://dataverse.harvard.edu/dataset.xhtml?persistentId=hdl:1902.1/12379
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library(dplyr) # percentage yes by country by_country <- un_votes %>% group_by(country) %>% summarize(votes = n(), percent_yes = mean(vote == "yes")) arrange(by_country, percent_yes) arrange(by_country, desc(percent_yes)) # combine with per-vote information un_votes %>% inner_join(un_roll_calls, by = "rcid") # combine with issue votes_issues <- un_votes %>% inner_join(un_roll_call_issues, by = "rcid") # for example, which countries voted yes least often on Colonialism votes_issues %>% filter(issue == "Colonialism") %>% group_by(country) %>% summarize(percent_yes = mean(vote == "yes")) %>% arrange(percent_yes)
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