tibble(dataset = c("SP.DYN.TFRT.IN", "NY.GDP.MKTP.KD.ZG", "NY.GDP.MKTP.CD")) %>%
mutate(LAST_DOWNLOAD = as.Date(file.info(paste0("~/Dropbox/website/data/wdi/", dataset, ".RData"))$mtime)) %>%
mutate(html = paste0("[html](https://fgeerolf.com/data/wdi/", dataset, '.html)')) %>%
print_table_conditional()
dataset | LAST_DOWNLOAD | html |
---|---|---|
SP.DYN.TFRT.IN | 2023-01-21 | html |
NY.GDP.MKTP.KD.ZG | 2022-11-21 | html |
NY.GDP.MKTP.CD | 2022-12-01 | html |
LAST_COMPILE |
---|
2023-01-21 |
%>%
SP.DYN.TFRT.IN group_by(year) %>%
summarise(Nobs = n()) %>%
arrange(desc(year)) %>%
head(1) %>%
print_table_conditional()
year | Nobs |
---|---|
2020 | 253 |
%>%
SP.DYN.TFRT.IN left_join(iso2c, by = "iso2c") %>%
group_by(iso2c, Iso2c) %>%
rename(value = `SP.DYN.TFRT.IN`) %>%
summarise(Nobs = n(),
`Year 1` = first(year),
`Pop 1` = first(value),
`Year 2` = last(year),
`Pop 2` = last(value)) %>%
arrange(-Nobs) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Iso2c)),
Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .} {