Code
%>%
HEALTH_STAT left_join(HEALTH_STAT_var$VAR, by = "VAR") %>%
group_by(VAR, Var) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional
Data - OECD
%>%
HEALTH_STAT left_join(HEALTH_STAT_var$VAR, by = "VAR") %>%
group_by(VAR, Var) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional
%>%
HEALTH_STAT left_join(HEALTH_STAT_var$UNIT, by = "UNIT") %>%
group_by(UNIT, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional
UNIT | Unit | Nobs |
---|---|---|
NBFEMEPF | Number of female deaths | 97152 |
TXCMFETF | Deaths per 100 000 females (standardised rates) | 97149 |
ANNFEMTF | Years lost, /100 000 females, aged 75 years old | 95055 |
TXCRUDTF | Deaths per 100 000 females (crude rates) | 93774 |
NBMALEPH | Number of male deaths | 91963 |
TXCMHOTH | Deaths per 100 000 males (standardised rates) | 91960 |
NBPOPUPC | Number of total deaths | 90066 |
TXCMILTX | Deaths per 100 000 population (standardised rates) | 90063 |
ANNHOMTH | Years lost, /100 000 males, aged 75 years old | 89866 |
TXCRUDTH | Deaths per 100 000 males (crude rates) | 88654 |
ANNTOTTX | Years lost, /100 000 population, aged 75 years old | 87969 |
TXCRUDTX | Deaths per 100 000 population (crude rates) | 87969 |
EVIDUREV | Years | 23372 |
PERCALEF | % of population (crude rate) | 20228 |
EVIFHOEV | Difference female-male (years) | 10437 |
EVIHFEEV | Difference male-female (years) | 10437 |
RATEPTTX | Deaths per 1 000 live births | 6086 |
PERCMTTX | Incidence per 100 000 population | 2683 |
TXMILBTH | Deaths per 1 000 total births | 1956 |
BLESSETX | Injured per million population | 1854 |
TXCMMMTX | Deaths per 100 000 live births | 1770 |
LIVBRTTX | % of total live births | 1638 |
NOMBRENB | Number | 1337 |
NEWCASTX | Incidence per 100 000 population | 1336 |
JOUPANNB | Number of days lost per person per year | 928 |
INCITFTF | Incidence per 100 000 females | 695 |
NBWOMAPF | Number of female cases | 695 |
INCITHTH | Incidence per 100 000 males | 556 |
NBMANYPH | Number of male cases | 556 |
NBPOPIPC | Number of total cases | 417 |
%>%
HEALTH_STAT left_join(HEALTH_STAT_var$COU, by = "COU") %>%
group_by(COU, Cou) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Cou))),
Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .} {
%>%
HEALTH_STAT group_by(obsTime) %>%
summarise(Nobs = n()) %>%
arrange(desc(obsTime)) %>%
print_table_conditional