View source: R/clean_locations.R
clean_locations | R Documentation |
Rearrange via joins to get into more usable hierarchy format, these can then be joined to cases, contacts, etc for further analysis
clean_locations(locations, language_tokens)
locations |
A |
A tibble
containing the cleaned and rearranged location data.
## Not run:
url <- "https://MyGoDataServer.com/"
username <- "myemail@email.com"
password <- "mypassword"
locations <- get_locations(
url = url,
username = username,
password = password
)
language_tokens <- get_language_tokens(
url = url,
username = username,
password = password,
language = "english_us"
)
clean_locations(locations = locations, language_tokens = language_tokens)
## End(Not run)
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