Data Quality Assessment

Data Quality Assessment

Usage

checkdata(
  data,
  var,
  showOutliers = TRUE,
  showDistribution = TRUE,
  showDuplicates = TRUE,
  showPatterns = FALSE
)

Arguments

data

.

var

.

showOutliers

Detect and display potential outliers using z-score method (|z| > 3).

showDistribution

Display descriptive statistics and distribution characteristics.

showDuplicates

Identify and count duplicate values in the dataset.

showPatterns

Analyze patterns in missing data and value distributions.

Value

A results object containing:

results$qualityText					a preformatted
results$missingVals					a table
results$outliers					a table
results$distribution					a table
results$duplicates					a table
results$patterns					a table

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$missingVals$asDF

as.data.frame(results$missingVals)