Top 5 ports for volume of containers - volume (in TEUs) of containers handled in each port - mar_qg_qm_pvh

Data - Eurostat

Author

unit

Code

mar_qg_qm_pvh %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

unit	Unit	Nobs
THS_TEU	Thousand twenty-foot equivalent unit (TEU)	656
RT_PRE	Growth rate on previous period (t/t-1)	647
SUM_4Q	Sum of the last 4 quarters	629
RT4	Growth rate on the same quarter in previous year	620
RT_R4Q	Rolling 4-quarter growth rate	593

rep_mar

Code

mar_qg_qm_pvh %>%
  left_join(rep_mar, by = "rep_mar") %>%
  group_by(rep_mar, Rep_mar) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

rep_mar	Rep_mar	Nobs
DE_1DEBRV	Bremerhaven	395
DE_1DEHAM	Hamburg	395
EL_0GRPIR	Peiraias	395
ES_2ESALG	Algeciras	395
ES_2ESVLC	Valencia	395
IT_0ITGIT	Gioia Tauro	395
NL_0NLRTM	Rotterdam	395
BE_0BEANR	Antwerpen	325
BE_0BE003	Antwerp-Bruges	55

time

Code

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