Supply at basic prices and its transformation into purchasers’ prices - SNA_TABLE30

Data - OECD

Code
load_data("oecd/SNA_TABLE30_var.RData")
SNA_TABLE30 <- read_parquet("SNA_TABLE30.parquet")
nber_recessions <- read_parquet(here::here("data", "us", "nber_recessions.parquet"))

Nobs - Javascript

Code
SNA_TABLE30 |>
  left_join(SNA_TABLE30_var |> pluck("TRANSACT"), by = c("TRANSACT" = "id")) |>
  rename(`TRANSACT Description` = label) |>
  left_join(SNA_TABLE30_var |> pluck("MEASURE"), by = c("MEASURE" = "id")) |>
  rename(`MEASURE Description` = label) |>
  group_by(TRANSACT, `TRANSACT Description`, MEASURE, `MEASURE Description`) |>
  summarise(nobs = n()) |>
  arrange(-nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Data Structure

Code
SNA_TABLE30_var$VAR_DESC %>%
  {if (is_html_output()) print_table(.) else .}
id description
LOCATION Country
TRANSACT Transaction
PRODUCT Product
MEASURE Measure
TIME Year
OBS_VALUE Observation Value
TIME_FORMAT Time Format
OBS_STATUS Observation Status
UNIT Unit
POWERCODE Unit multiplier
REFERENCEPERIOD Reference period

TRANSACT

Code
SNA_TABLE30 |>
  left_join(SNA_TABLE30_var$TRANSACT, by = c("TRANSACT" = "id")) |>
  rename(`TRANSACT Description` = label) |>
  group_by(TRANSACT, `TRANSACT Description`) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

PRODUCT

Code
SNA_TABLE30 |>
  left_join(SNA_TABLE30_var$PRODUCT, by = c("PRODUCT" = "id")) |>
  rename(`PRODUCT Description` = label) |>
  group_by(PRODUCT, `PRODUCT Description`) |>
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

MEASURE

Code
SNA_TABLE30 |>
  left_join(SNA_TABLE30_var$MEASURE, by = c("MEASURE" = "id")) |>
  rename(`MEASURE Description` = label) |>
  group_by(MEASURE, `MEASURE Description`) |>
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

TIME_FORMAT

Code
SNA_TABLE30_var$TIME_FORMAT %>%
  {if (is_html_output()) print_table(.) else .}
id label
P1Y Annual
P1M Monthly
P3M Quarterly
P6M Half-yearly
P1D Daily