Financial account - quarterly data - ei_bpm6fa_q

Data - Eurostat

Author

bop_item

Code

ei_bpm6fa_q %>%
  left_join(bop_item, by = "bop_item") %>%
  group_by(bop_item, Bop_item) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

partner

Code

ei_bpm6fa_q %>%
  left_join(partner, by = "partner") %>%
  group_by(partner, Partner) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

partner	Partner	Nobs
WRL_REST	Rest of the world	50539
EXT_EU27_2020	Extra-EU27 (from 2020)	812
EXT_EA20	Extra-euro area - 20 countries (from 2023)	672

stk_flow

Code

ei_bpm6fa_q %>%
  left_join(stk_flow, by = "stk_flow") %>%
  group_by(stk_flow, Stk_flow) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

stk_flow	Stk_flow	Nobs
NET	Net	21689
LIAB	Liabilities	15169
ASS	Assets	15165

sector10

Code

ei_bpm6fa_q %>%
  left_join(sector10, by = "sector10") %>%
  group_by(sector10, Sector10) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

sector10	Sector10	Nobs
S1	Total economy	52023

sectpart

Code

ei_bpm6fa_q %>%
  left_join(sectpart, by = "sectpart") %>%
  group_by(sectpart, Sectpart) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

sectpart	Sectpart	Nobs
S1	Total economy	52023

s_adj

Code

ei_bpm6fa_q %>%
  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
NSA	Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)	52023

sectpart

Code

ei_bpm6fa_q %>%
  left_join(sectpart, by = "sectpart") %>%
  group_by(sectpart, Sectpart) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

sectpart	Sectpart	Nobs
S1	Total economy	52023

currency

Code

ei_bpm6fa_q %>%
  left_join(currency, by = "currency") %>%
  group_by(currency, Currency) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

currency	Currency	Nobs
MIO_EUR	Million euro	52023

geo

Code

ei_bpm6fa_q %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}