SNA_TABLE12_SNA93 %>%
left_join(SNA_TABLE12_SNA93_var$TRANSACT %>%
setNames(c("TRANSACT", "Transact")), by = "TRANSACT") %>%
left_join(SNA_TABLE12_SNA93_var$SECTOR %>%
setNames(c("SECTOR", "Sector")), by = "SECTOR") %>%
group_by(TRANSACT, Transact, SECTOR, Sector) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}
id | description |
---|---|
LOCATION | Country |
TRANSACT | Transaction |
SECTOR | Sector |
MEASURE | Measure |
TIME | Year |
OBS_VALUE | Observation Value |
TIME_FORMAT | Time Format |
OBS_STATUS | Observation Status |
UNIT | Unit |
POWERCODE | Unit multiplier |
REFERENCEPERIOD | Reference period |
id | label |
---|---|
GS13 | General government |
GS1311 | Central government |
GS1312 | State government |
S1 | Total economy |
GS1313 | Local government |
GS1314 | Social security funds |