Statistics
Descriptive statistics for numeric, string, boolean, and timestamp columns.
- NumericStatistics: Descriptive metrics for numeric columns.
- column_mean: Mean of a column.
- column_median: Median of a column.
- column_std: Standard deviation of a column.
- column_variance: Variance of a column.
- column_min: Minimum value.
- column_max: Maximum value.
- column_sum: Sum of values.
- column_kurtosis: Kurtosis of values.
- column_skewness: Skewness of values.
- column_quantile: Quantile of a column.
- column_iqr: Interquartile range.
- column_range: Range (max - min).
- column_mad: Mean absolute deviation.
- coefficient_of_variation: Standard deviation divided by mean (guarded).
- standard_error_mean: Standard error of the mean.
- describe: Pandas describe wrapper.
- summary_as_dict: Comprehensive numeric summary as dict.
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summary_as_dataframe: Comprehensive numeric summary as DataFrame.
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StringStatistics: Metrics for string/categorical columns.
- count_unique: Number of unique strings.
- most_frequent: Most frequent string.
- count_most_frequent: Count of the most frequent string.
- count_null: Number of nulls.
- average_string_length: Average length of non-null strings.
- longest_string: Longest string.
- shortest_string: Shortest string.
- string_length_summary: Summary of lengths.
- most_common_n_strings: Top-N most frequent strings.
- contains_substring_count: Count of strings containing a substring.
- starts_with_count: Count of strings starting with a prefix.
- ends_with_count: Count of strings ending with a suffix.
- uppercase_percentage: Percentage of uppercase strings.
- lowercase_percentage: Percentage of lowercase strings.
- contains_digit_count: Count of strings containing digits.
- summary_as_dict: Comprehensive string summary as dict.
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summary_as_dataframe: Comprehensive string summary as DataFrame.
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BooleanStatistics: Metrics for boolean columns.
- count_true: Count of True values.
- count_false: Count of False values.
- count_null: Count of nulls.
- count_not_null: Count of non-nulls.
- true_percentage: Percentage True.
- false_percentage: Percentage False.
- mode: Most common boolean value.
- is_balanced: Whether distribution is 50/50.
- summary_as_dict: Summary as dict.
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summary_as_dataframe: Summary as DataFrame.
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TimestampStatistics: Metrics for timestamp columns.
- count_null: Count of null timestamps.
- count_not_null: Count of non-null timestamps.
- earliest_timestamp: Earliest timestamp.
- latest_timestamp: Latest timestamp.
- timestamp_range: Time range (latest - earliest).
- most_frequent_timestamp: Most frequent timestamp.
- count_most_frequent_timestamp: Count of the modal timestamp.
- year_distribution: Distribution by year.
- month_distribution: Distribution by month.
- weekday_distribution: Distribution by weekday.
- hour_distribution: Distribution by hour.
- most_frequent_day: Most frequent weekday.
- most_frequent_hour: Most frequent hour.
- average_time_gap: Average gap between consecutive timestamps.
- median_timestamp: Median timestamp.
- standard_deviation_timestamps: Standard deviation of consecutive differences.
- timestamp_quartiles: 25th/50th/75th percentiles.
- days_with_most_activity: Top-N active days.
Modules: