Created
November 16, 2017 17:57
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Bind the UK Civil Service Staff Survey 2017 to the GOV.UK register of government organisations
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#' Match the Civil Service People Survey to the government-organisation register | |
library(tidyverse) | |
library(RegistersClientR) | |
#' Download the survey and the register | |
survey_path <- "https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/659571/Civil_Service_People_Survey_2017_All_Organisation_Scores__CSV_.csv" | |
survey <- read_csv(survey_path)[, 1:5] | |
govorg <- | |
rr_records("government-organisation") %>% | |
select(name, `government-organisation`) | |
#' Attempt to match them by name | |
both_dep <- inner_join(survey, govorg, by = c("Department_group" = "name")) | |
only_survey_dep <- anti_join(survey, govorg, by = c("Department_group" = "name")) | |
both_org <- inner_join(survey, govorg, by = c("Organisation" = "name")) | |
only_survey_org <- anti_join(survey, govorg, by = c("Organisation" = "name")) | |
#' 94 of them match a gov-org record by name. | |
both_both <- | |
bind_rows(both_dep, both_org) %>% | |
distinct() | |
#' 15 don't match gov-org by name exactly. | |
#' But they're all there if you look, except for the NS&I, which is in | |
#' the public-body register under its pre-2002 name "National Savings Bank". | |
neither <- | |
anti_join(survey, both_both, by = c("Department_group", "Organisation")) %>% | |
arrange(Organisation) %>% | |
mutate(`government-organisation` = c( | |
"PB28", | |
"D98", | |
"OT495", | |
"D5", | |
"EA42", | |
"EA73", | |
"OT281", | |
"EA1213", | |
"D69", | |
"EA63", | |
"D18", | |
"D18", | |
"D18", | |
"public-body:3352", | |
"D23;D20;D24;D19" | |
)) | |
neither |
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