QNA - Compensation of employees - QNA_D1

Data - OECD

Info

LAST_DOWNLOAD

LAST_DOWNLOAD
2022-10-19

LAST_COMPILE

LAST_COMPILE
2026-07-26

Last

obsTime Nobs
2022-Q2 2182

LOCATION

Code
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 .}

SUBJECT

Code
QNA %>%
  left_join(QNA_var$SUBJECT, by = "SUBJECT") %>%
  group_by(SUBJECT, Subject) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

MEASURE

Code
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

FREQUENCY

Code
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

obsTime

Code
QNA %>%
  group_by(obsTime) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(obsTime)) %>%
  print_table_conditional()