Turnover statistics for industry (NACE Rev. 2, B-E) - sbs_turn_ind_r2

Data - Eurostat

Author

Info

LAST_DOWNLOAD

Code

tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/eurostat/sbs_turn_ind_r2.RData")$mtime)) %>%
  print_table_conditional()

LAST_DOWNLOAD
2026-01-30

LAST_COMPILE

LAST_COMPILE
2026-01-31

Last

Code

sbs_turn_ind_r2 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()

time	Nobs
2018	12756

nace_r2

Code

sbs_turn_ind_r2 %>%
  left_join(nace_r2, by = "nace_r2") %>%
  group_by(nace_r2, Nace_r2) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

indic_sb

Code

sbs_turn_ind_r2 %>%
  left_join(indic_sb, by = "indic_sb") %>%
  group_by(indic_sb, Indic_sb) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

indic_sb	Indic_sb	Nobs
V18120	Turnover from industrial activities - million euro	12566
V18150	Turnover from service activities - million euro	12566
V18160	Turnover from trading activities of purchase and resale and intermediary activities (agents) - million euro	12566

time

Code

sbs_turn_ind_r2 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional

time	Nobs
2018	12756
2013	12702
2008	12240

geo

Code

sbs_turn_ind_r2 %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}