Complementing #259 - [ ] Create a central table for all the attributes across all datasets and either use `filter` or `left_join` to refine what is needed - [ ] Use references - [ ] use relevant parts of the file name to help construct a description using `dplyr::case_when` , `tools::file_path_sans_ext()`, and `stringr::str_extract` - [ ] use `selectMember` to help you grab the correct pids to use eg. `zipId <- selectMember(dp, name="sysmeta@formatId", value="application/vnd.shp+zip")` - [ ] use `for` loops or `purrr::map` to help iterate through entities
Complementing #259
Create a central table for all the attributes across all datasets and either use
filterorleft_jointo refine what is neededUse references
use relevant parts of the file name to help construct a description using
dplyr::case_when,tools::file_path_sans_ext(), andstringr::str_extractuse
selectMemberto help you grab the correct pids to useeg.
zipId <- selectMember(dp, name="sysmeta@formatId", value="application/vnd.shp+zip")use
forloops orpurrr::mapto help iterate through entities