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Auto-generated module
🤖 Generated with SplitRS
Functions§
- boxplot_
stats_ py - Compute boxplot statistics (five-number summary + outliers)
- coef_
variation_ py - Coefficient of variation
- cross_
entropy_ py - Compute cross-entropy between two probability distributions
- data_
range_ py - Data range
- entropy_
py - Compute Shannon entropy of discrete data
- gini_
coefficient_ py - Gini coefficient
- gmean_
py - Geometric mean
- hmean_
py - Harmonic mean
- kl_
divergence_ py - Compute Kullback-Leibler divergence between two probability distributions
- kurtosis_
ci_ py - Compute kurtosis with bootstrap confidence interval
- kurtosis_
py - Kurtosis of the data
- mean_
abs_ deviation_ py - Mean absolute deviation
- median_
abs_ deviation_ py - Median absolute deviation
- mode_py
- Mode of the data (most frequent value)
- moment_
py - Compute statistical moment
- quartiles_
py - Compute quartiles (Q1, Q2, Q3)
- quintiles_
py - Compute quintiles (20th, 40th, 60th, 80th percentiles) of a dataset
- skew_py
- Skewness of the data
- skewness_
ci_ py - Compute skewness with bootstrap confidence interval
- ttest_
rel_ py - Paired (related samples) t-test.
- weighted_
mean_ py - Compute weighted mean
- winsorized_
mean_ py - Compute winsorized mean (robust mean)
- winsorized_
variance_ py - Compute winsorized variance (robust variance)
- zscore_
py - Z-score normalization