View source: R/validate-landings.R
validate_landings | R Documentation |
Downloads the preprocessed version of the data from cloud storage services and validates a range of information so that it can be safely used for analysis. By default the function uses the method of the median absolute deviation (MAD) for outliers identification.
validate_landings(log_threshold = logger::DEBUG)
log_threshold |
The (standard Apache logj4) log level used as a threshold for the logging infrastructure. See logger::log_levels for more details |
The parameters needed in the config file are those required for
preprocess_landings_step_1()
or preprocess_landings_step_2()
,
preprocess_metadata_tables()
combined, as well as parameters needed to outliers identification that are
hrs,
methodand
k'.
no outputs. This function is used for it's side effects
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.