API reference¶

Data¶

german_data()

Return german data as a data frame.

Exploratory data analysis¶

`missing_stat`(data[, columns, show_print, …])	Return missing values’ statistics.
`numeric_stat`(data[, percentiles])	Describe numeric columns.
`categorical_stat`(data)	Generate descriptive statistics for categorical columns.
`describe`(data[, percentiles])	Generate descriptive statistics.
`corr_analysis`(data[, tight_layout, …])	Correlation analysis.

Preprocessing¶

General precessing¶

replace_blank(data[, inplace])

Replace blank strings in data if any.

Handle missing values¶

rf_fill_missing(data, column[, target, n_digits])

Fill missing values with predicted values output by a random forest regressor.

Score card¶

`check_target`(Y[, inplace])	Check validity of target.
`mono_bin`(Y, X[, n, precision, duplicates])	Generate monotonous bins.

Plot utilities¶

`rocplot`(y_true, y_preds[, equal_aspect])	Plot a ROC curve.
`ksplot`(preds, labels[, data, n, is_prob, …])	Plot distributions of good and bad clients, including an estimate of the KS statistics.
`woebinplot`(data[, stacked, grouped, width, …])	Visulize the binning.