Statistisches Bundesamt - destatis

Data

Info

• Produktion im August 2022: -0,8 % zum Vormonat. html

• Bedeutung der energie intensiven Industriezweige in Deutschland. html

Main Datasets

Javascript

datasets %>%
  filter(code %in% list_main_datasets) %>%
    mutate(html = paste0('<a  target=_blank href=', code, '.html > html </a>')) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Flat

datasets %>%
  filter(code %in% list_main_datasets) %>%
  mutate(html = paste0("[html](", code, '.html)')) %>%
  {if (is_html_output()) print_table(.) else .}

code	name	Nobs	html
51000BJ002	Foreign trade, Exports: Net mass, Exports: Value, Exports: Value (US-Dollar), Imports: Net mass, Imports: Value, Imports: Value (US-Dollar), Country Nomenclature for External Trade Statistics, Germany, Year	41310	[html]
51000BM002	Foreign trade, Exports: Net mass, Exports: Value, Exports: Value (US-Dollar), Imports: Net mass, Imports: Value, Imports: Value (US-Dollar), Country Nomenclature for External Trade Statistics, Germany, Months, Year	NaN	[html]
61111B5001	Consumer price index for Germany, Weighting, Germany, Individual consumption by purpose, 2-digit codes, Year	60	[html]
61111B5002	Consumer price index for Germany, Weighting, Germany, Individual consumption by purpose, 3-digit codes, Year	210	[html]
61111B5003	Consumer price index for Germany, Weighting, Germany, Individual consumption by purpose, 4-digit codes, Year	531	[html]
61111B5004	Consumer price index for Germany, Weighting, Germany, Individual consumption by purpose, 5-digit codes, Year	1365	[html]

Other Datasets

Javascript

datasets %>%
  filter(!(code %in% list_main_datasets)) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}