sts_copi_m %>%
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) | 43880 |
sts_copi_m %>%
left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
{if (is_html_output()) print_table(.) else .}
unit | Unit | Nobs |
---|---|---|
I15 | Index, 2015=100 | 12522 |
PCH_PRE | Percentage change on previous period | 11814 |
PCH_SM | Percentage change compared to same period in previous year | 11363 |
I10 | Index, 2010=100 | 8181 |
sts_copi_m %>%
left_join(indic_bt, by = "indic_bt") %>%
group_by(indic_bt, Indic_bt) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
{if (is_html_output()) print_table(.) else .}
indic_bt | Indic_bt | Nobs |
---|---|---|
CSTM | Input prices for materials - in national currency | 13437 |
CSTI | Construction cost index - in national currency | 12622 |
CSTL | Labour cost index in construction - in national currency | 9458 |
CSTO | Output price index in construction - in national currency | 8363 |
sts_copi_m %>%
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 .}