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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Department Number of respondents
Cabinet Office (excl. agencies) 7
Defence Science and Technology Laboratory 17
Department for Business & Trade 108
Department for Education (excl. agencies) 42
Department for Energy Security & Net Zero 24
Department for Environment, Food and Rural Affairs (excl. agencies) 40
Department for Levelling Up, Housing & Communities (excl. agencies) 48
Department for Science, Innovation & Technology (excl. agencies) 8
Department for Transport (excl. agencies) 38
Department for Work & Pensions 15
Department of Health & Social Care (excl. agencies) 13
Food Standards Agency 10
Foreign, Commonwealth & Development Office (excl. agencies) 9
Foreign, Commonwealth and Development Office (excl. agencies) 5
Forest Research 19
HM Land Registry 25
HM Revenue & Customs (excl. agencies) 100
Home Office (excl. agencies) 22
Ministry of Defence (excl. agencies) 38
Ministry of Justice (excl. agencies) 94
Northern Ireland Statistics and Research Agency 61
Office for National Statistics 255
Other 21
Scottish Government (excl. agencies) 23
UK Health Security Agency 61
Welsh Government 36
a Sample size = 1282
-
- +There aren't enough responses yet. Please check back later.

Can’t see your department?

diff --git a/rmarkdown/index.rmd b/rmarkdown/index.rmd index c0f94f6..bb4dfe2 100644 --- a/rmarkdown/index.rmd +++ b/rmarkdown/index.rmd @@ -9,6 +9,7 @@ output: library(magrittr) + data <- get_tidy_data_api() department <- filter_divisons(data) n_responses <- length(department) @@ -19,9 +20,9 @@ department_table <- data.frame(table(remove_low_counts(department))) ## Welcome -Welcome to the Coding in Analysis and Research Survey (CARS) 2023 dashboard. Here you can see our response rate so far, broken down by department. CARS is our annual survey on the use of code in government analysis. You can see the 2022 results in our [online publication](https://best-practice-and-impact.github.io/CARS/). +Welcome to the Coding in Analysis and Research Survey (CARS) 2024 dashboard. Here you can see the response rate so far, broken down by department. CARS is our annual survey on the use of code in government analysis. You can see the 2023 results in our [online publication](https://best-practice-and-impact.github.io/CARS/). -This year we hope to get over 1,500 responses. So far, we've got `r n_responses` responses. We're aiming for at least 20 from as many departments as possible, which will allow us to create customised reports for those departments. If you're interested in seeing this, please promote the survey in your department. +This year we hope to get over 1,500 responses. So far, we've got `r n_responses` responses. We're aiming for at least 20 responses from as many departments as possible, which will allow us to create customised reports for those departments. If you're interested in seeing this, please promote the survey in your department. ## Responses by department @@ -29,7 +30,7 @@ This year we hope to get over 1,500 responses. So far, we've got `r n_responses` ```{r echo=FALSE, warnings=FALSE} if (nrow(department_table) == 0) { - knitr::raw_html("There aren't enough responses yet. Please check later - this page will update once per hour.") + knitr::raw_html("There aren't enough responses yet. Please check back later.") } else { colnames(department_table) <- c("Department", "Number of respondents")