Completeness
Completeness(dataset, column_list=None, filter_condition_dict=None, dataset_filter_by_data_type=None, duckdb_connection=None, decimal_places=2)
¶
Calculate completeness metrics for specified columns in a dataset using DuckDB.
This function calculates the fraction of non-null values in specified columns of a dataset. It supports filtering by column names and/or data types, and can apply additional filter conditions before calculating completeness.
Example
Consider a column 'email' with values: ["user@example.com", None, "test@test.com", None, "mail@domain.com"]
Completeness calculation: - Non-null values: 3 - Total values: 5 - Completeness percentage = (3/5) * 100 = 60.00%
Returns:
Type | Description |
---|---|
List[Dict[str, Union[str, int, float, dict, None]]]
|
List[Dict[str, Union[str, int, float, dict, None]]]: A list of dictionaries with the following keys: - column_name (str): Name of the analyzed column - non_null_count (int): Count of non-null values - total_count (int): Total count of values - completeness_percentage (float): Percentage of non-null values - table_name (str): Name of the analyzed table - execution_timestamp_utc (str): Timestamp of execution in UTC - filter_conditions (dict|None): Applied filter conditions if any - filtered_by_data_type (list|None): Data types used for filtering if any |
Parameters:
Name | Type | Description | Default |
---|---|---|---|
dataset
|
Any
|
Input dataset that can be either: - A DataFrame (pandas, polars) or other DuckDB-compatible data structure - A string representing an existing table name in the DuckDB connection |
required |
column_list
|
Optional[List[str]]
|
List of column names to analyze. Can be used together with dataset_filter_by_data_type. Defaults to None. |
None
|
filter_condition_dict
|
Optional[Dict[str, Union[str, int, float]]]
|
Dictionary of filter conditions to apply before calculating completeness. Format: {'column_name': value}. Supports string, integer, and float values. |
None
|
dataset_filter_by_data_type
|
Optional[List[str]]
|
Data type(s) to filter columns. Can be a single type as string or list of types. Can be used together with column_list. |
None
|
duckdb_connection
|
Optional[DuckDBPyConnection]
|
Existing DuckDB connection. If None, a new connection will be created and closed after execution. |
None
|
decimal_places
|
int
|
Number of decimal places to round the completeness percentage. Defaults to 2. |
2
|
Source code in src/whistlingduck/analyzers/Completeness.py
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