analyze_correlation     Correlation matrix, optionally per category
analyze_distribution    Assess the distribution of every numeric column
analyze_missing_data_patterns
                        Summarise missing-data patterns
as.data.frame.dg_report
                        Coerce a quality report to a one-row data frame
calculate_consistency_score
                        Consistency score from multicollinearity
check_unique_identifiers
                        Identify columns that could serve as a unique
                        key
clean_text_columns      Normalise text columns without destroying
                        information
detect_data_types       Detect the semantic type of every column
detect_duplicates       Count duplicate rows
detect_outliers         Detect outliers in numeric columns
dg_assess               Assess the quality of a data set
dg_plots                Figures for a quality report
dg_save_plots           Save every report figure to a directory
dg_spec                 Declare what the data is supposed to look like
dg_vif                  Variance inflation factors
flag_anomalies_in_relationships
                        Flag rows whose variable relationships look
                        anomalous
flag_redundant_columns
                        Flag redundant columns by pairwise correlation
impute_missing_values   Impute missing numeric values
print.dg_report         Print a quality report
summary.dg_report       Tabular summary of a quality report
theme_dg                A recessive ggplot2 theme for quality-report
                        figures
validate_dates          Check date columns for impossible and stale
                        values
