Quarterly non-financial accounts - NASEC_IDCNFSA_Q

Data - UN

Author

FREQ

Code

NASEC_IDCNFSA_Q %>%
  left_join(FREQ, by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

FREQ	Freq	Nobs
Q	Quarterly	2544403

STO

Code

NASEC_IDCNFSA_Q %>%
  group_by(STO) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

ADJUSTMENT

Code

NASEC_IDCNFSA_Q %>%
  group_by(ADJUSTMENT) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

ADJUSTMENT	Nobs
N	2465514
Y	78889

REF_AREA

Code

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

COUNTERPART_AREA

Code

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