Business surveys - NACE Rev. 2 activity - Sentiment indicators - monthly data - ei_bssi_m_r2

Data - Eurostat

Info

LAST_DOWNLOAD

Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/ei_bssi_m_r2.RData")$mtime)) %>%
  print_table_conditional()
LAST_DOWNLOAD
2024-11-05

LAST_COMPILE

LAST_COMPILE
2024-11-05

Last

Code
ei_bssi_m_r2 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()
time Nobs
2024M10 353

indic

Code
ei_bssi_m_r2 %>%
  left_join(indic, by = "indic") %>%
  group_by(indic, Indic) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
indic Indic Nobs
BS-ICI-BAL Industrial confidence indicator 26068
BS-CCI-BAL Construction confidence indicator 25218
BS-CSMCI-BAL Consumer confidence indicator 23593
BS-RCI-BAL Retail confidence indicator 22014
BS-SCI-BAL Services confidence indicator 18160
BS-ESI-I Economic sentiment indicator 13254

s_adj

Code
ei_bssi_m_r2 %>%
  left_join(s_adj, by = "s_adj") %>%
  group_by(s_adj, S_adj) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
s_adj S_adj Nobs
SA Seasonally adjusted data, not calendar adjusted data 70956
NSA Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data) 57351

geo

Code
ei_bssi_m_r2 %>%
  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
ei_bssi_m_r2 %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}