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

Data - Eurostat

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) 140
RT_PRE Growth rate on previous period (t/t-1) 132
THS_TEU_4Q Sum of the last 4 quarters (in TEUs) 116
RT_SMQ Growth rate on the same quarter in previous year 108
RT_R4Q Rolling 4-quarter growth rate 84

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 85
DE_1DEHAM Hamburg 85
EL_0GRPIR Peiraias 85
ES_2ESALG Algeciras 85
ES_2ESVLC Valencia 85
NL_0NLRTM Rotterdam 85
BE_0BEANR Antwerpen 45
BE_0BE003 Antwerp-Bruges 25

time

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