Data Quality Assessment

Computes basic data quality metrics for a dataset, including missing values, duplicate rows, constant columns, and an overall quality score.

Usage

quality_score(data)

Arguments

data

A data.frame to assess.

Value

A named list containing:

missing_percent

Percentage of missing values.

duplicate_rows

Number of duplicated rows.

constant_columns

Names of constant columns.

n_constant_columns

Number of constant columns.

quality_score

Overall quality score (0-100).

variables

A data frame containing variable-level quality metrics, including missing percentage, constant feature indicator, and quality score.

Examples

res <- quality_score(airquality)
res$quality_score
#> [1] 97.6
res$missing_percent
#> [1] 4.79