Package index
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add_check() - Add a custom check to the validator
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add_check_custom() - Add a custom check to the validator
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add_qa_entry() - Add a QA Entry to the validator's QA Log
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check() - Validate a Validator Object
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check_and_export() - Validate data against a schema and output results
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check_colnames() - Check Column Names against schema
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check_column_contents() - Check Column Contents against schema and checks
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check_completeness() - Check dataset for missing columns
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check_duplicates() - Check for duplicate rows
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check_schema_contents_against_df() - Check schema contents against the data frame provided
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check_types() - Check Column Types and Classes
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decimal_places() - Check Decimal Places in Numeric Columns
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export() - Generic export function
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export(<Validator>) - Export Validator Log
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hard_checks_status() - Check the status of errors and warnings in the validator log
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iqr_bounds() - Flag outliers based on Interquartile Range (IQR). Outliers are flagged if they are below Q1 - (mulitplier * IQR) or above Q3 + (multiplier * IQR).
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is_valid_column_values() - Check that max values are not less than min values in column schema
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is_valid_schema() - Check if the schema is valid
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log_html() - Generate HTML Representation of a Log
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log_pointblank_outcomes() - Log pointblank validation outcomes to a validator log
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log_to_table() - Convert Validator Log to Table
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new_validator() - Validator Constructor
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print(<Validator>) - Print Validator Log
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run_checks() - Run column checks
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types_to_classes() - Convert complex types to the correct types and classes
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z_score() - Check Z Score of Numeric Columns