Check for common data quality issues — data

Check primary data for common data quality issues, such as NaNs, NAs, outliers, unique rows, and empty variables.

Usage

data_check(dat, project, x)

Arguments

dat: Primary data containing information on hauls or trips. Table in the FishSET database contains the string 'MainDataTable'.
project: String, name of project.
x: Variable in dat to check for outliers. Must be in quotes if called from the FishSET database.

Details

Prints summary stats for all variables in dat. Prints column names that contain NaNs or NAs. Checks for outliers for specified variable x. Checks that all column names are unique, whether any columns in dat are empty, whether each row is a unique choice occurrence at the haul or trip level, that data for either lat/lon or fishing area are included. The function is also called by other functions.

Examples

if (FALSE) {
data_check(pcodMainDataTable, "OFFICIAL_TOTAL_CATCH_MT")
}