Economic data in high-tech sectors by NACE Rev.2 activity - htec_eco_sbs2

Data - Eurostat

Author

indic_sb

Code

htec_eco_sbs2 %>%
  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
V12110	Turnover or gross premiums written - million euro	1947
V12120	Production value - million euro	1946
V13110	Total purchases of goods and services - million euro	1946
V13320	Wages and Salaries - million euro	1941
V12150	Value added at factor cost - million euro	1937
V12170	Gross operating surplus - million euro	1935
V13310	Personnel costs - million euro	1931
V13330	Social security costs - million euro	1931
V15110	Gross investment in tangible goods - million euro	1896
V91210	Average personnel costs (personnel costs per employee) - thousand euro	1832

nace_r2

Code

htec_eco_sbs2 %>%
  left_join(nace_r2, by = "nace_r2") %>%
  group_by(nace_r2, Nace_r2) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

nace_r2	Nace_r2	Nobs
C	Manufacturing	2155
C_HTC_M	Medium high-technology manufacturing	2155
C_HTC	High-technology manufacturing	2154
C_LTC_M	Medium low-technology manufacturing	2148
KIS_HTC	Knowledge-intensive high-technology services	2143
HTC	High-technology sectors (high-technology manufacturing and knowledge-intensive high-technology services)	2140
KIS_MKT_OTH	Knowledge-intensive market services (except financial intermediation and high-technology services)	2140
C_LTC	Low-technology manufacturing	2123
LKIS_MKT	Less knowledge-intensive market services	2084

currency

Code

htec_eco_sbs2 %>%
  left_join(currency, by = "currency") %>%
  group_by(currency, Currency) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional

currency	Currency	Nobs
MIO_EUR	Million euro	19242

geo

Code

htec_eco_sbs2 %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  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 .}

time

Code

htec_eco_sbs2 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()

time	Nobs
2014	2609
2013	2707
2012	2761
2011	2920
2010	2760
2009	2853
2008	2632