LAST_DOWNLOAD |
---|
2022-10-19 |
LAST_COMPILE |
---|
2024-04-16 |
obsTime | Nobs |
---|---|
2022-Q2 | 2182 |
QNA %>%
left_join(QNA_var$LOCATION, by = "LOCATION") %>%
group_by(LOCATION, Location) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Location)),
Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}
QNA %>%
filter(FREQUENCY == "A") %>%
left_join(QNA_var$MEASURE, by = "MEASURE") %>%
group_by(MEASURE, Measure) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
MEASURE | Measure | Nobs |
---|---|---|
CQR | National currency, current prices, quarterly levels | 33650 |
CQRSA | National currency, current prices, quarterly levels, seasonally adjusted | 31490 |
CARSA | National currency, current prices, annual levels, seasonally adjusted | 798 |
LNBQRSA | National currency, chained volume estimates, national reference year, quarterly levels, seasonally adjusted | 208 |
CAR | National currency, current prices, annual levels | 179 |
LNBARSA | National currency, chained volume estimates, national reference year, annual levels, seasonally adjusted | 146 |
LNBQR | National currency, chained volume estimates, national reference year, quarterly levels | 146 |
QNA %>%
left_join(QNA_var$FREQUENCY, by = "FREQUENCY") %>%
group_by(FREQUENCY, Frequency) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
FREQUENCY | Frequency | Nobs |
---|---|---|
Q | Quarterly | 270215 |
A | Annual | 66617 |