LAST_DOWNLOAD |
---|
2022-12-03 |
LAST_COMPILE |
---|
2024-04-16 |
obsTime | Nobs |
---|---|
2022-10 | 180 |
obsTime | Nobs |
---|---|
2022-Q3 | 792 |
MEI_TRD %>%
left_join(MEI_TRD_var$SUBJECT, by = c("SUBJECT")) %>%
{if (!is_html_output()) mutate(., Subject = substr(Subject, 1, 87)) else .} %>%
group_by(SUBJECT, Subject, FREQUENCY) %>%
filter(!is.na(obsValue)) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}
MEI_TRD %>%
left_join(MEI_TRD_var$SUBJECT, by = c("SUBJECT")) %>%
group_by(SUBJECT, Subject) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
SUBJECT | Subject | Nobs |
---|---|---|
XTEXVA01 | Exports in goods (value) | 250219 |
XTIMVA01 | Imports in goods (value) | 248711 |
XTNTVA01 | Net trade in goods (value) | 165472 |
MEI_TRD %>%
left_join(MEI_TRD_var$LOCATION, by = "LOCATION") %>%
group_by(LOCATION, Location) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Location))),
Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}
MEI_TRD %>%
left_join(MEI_TRD_var$FREQUENCY, by = c("FREQUENCY")) %>%
group_by(FREQUENCY, Frequency) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
FREQUENCY | Frequency | Nobs |
---|---|---|
M | Monthly | 467691 |
Q | Quarterly | 157583 |
A | Annual | 39128 |