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Yes I think you are right a data frame - i think we need something which shows which geography is availalbe for which indicator
I kind of like the fact that you can download data from dt::datatable though
A function to create a data table of live indicators - which profile and what geography
`
indicator_List<- function(){
require(tidyverse)
fingertipsR::areatypes_by_indicators %>%
left_join(area_types()) %>%
group_by(IndicatorID) %>%
select(IndicatorID, AreaTypeName) %>%
arrange(IndicatorID) %>%
left_join(indicators()) %>%
select(IndicatorID, IndicatorName, ProfileName, AreaTypeName) %>%
distinct() %>%
DT::datatable(filter = "top", extensions = 'Buttons', options = list(
dom = 'Bfrtip',
buttons = c('copy', 'csv', 'excel', 'pdf', 'print')
)
)
}
`
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