Report the percentage of missing values (NA) per fields

This function provide a report showing the percentage of missing values (NA) for each fields. This report can be global (all the surveys) or displayed for each enumerator ID

surveyMissingValues(ds = NULL, enumeratorID = NULL, enumeratorCheck = FALSE)

Arguments

ds	dataset containing the survey (from kobo): data.frame
enumeratorID	name of the field where the enumerator ID is stored: string
enumeratorCheck	(Optional, by default set to FALSE) specify if the report has to be displayed for each enumerator or not: boolean (TRUE/FALSE)

Value

dst same dataset as the inputed one but with survey marked for deletion if errors are found and delete=TRUE (or NULL)

ret_log list of the errors found (or NULL)

var a list of value (or NULL)

graph graphical representation of the results (or NULL)

Author

Yannick Pascaud

Examples

{
ds <- HighFrequencyChecks::sample_dataset
enumeratorID <- "enumerator_id"

list[dst,ret_log,var,graph] <- surveyMissingValues(ds=ds,
                                                   enumeratorID=enumeratorID,
                                                   enumeratorCheck=FALSE)
head(ret_log,10)
}
#>                         variables pct
#> X.5                           X.5   0
#> instance_name       instance_name   0
#> survey_date           survey_date   0
#> survey_start         survey_start   0
#> enumerator_org     enumerator_org   0
#> enumerator_id       enumerator_id   0
#> upazilla_name       upazilla_name   0
#> union_name             union_name   0
#> informed_consent informed_consent 100
#> survey_consent     survey_consent   0