DataFrameStats extension

Statistical extensions for DataFrame.

on

• DataFrame

Methods

anovaOneWay(List<String> groupCols) → HypothesisTestResult

Available on DataFrame, provided by the DataFrameStats extension

Performs One-way ANOVA on multiple columns (treating each column as a group).

autocorrelation(String col, int lag) → num

Available on DataFrame, provided by the DataFrameStats extension

Calculates Autocorrelation for a column at a specific lag.

chiSquareTest(String observedCol, String expectedCol) → HypothesisTestResult

Available on DataFrame, provided by the DataFrameStats extension

Chi-square goodness-of-fit wrapper using two columns (observed vs expected).

correlation(String col1, String col2) → double

Available on DataFrame, provided by the DataFrameStats extension

Pearson Correlation Coefficient between two columns.

correlationMatrix(List<String> cols) → DataFrame

Available on DataFrame, provided by the DataFrameStats extension

Computes the Correlation Matrix for a list of columns. Returns a DataFrame.

covariance(String col1, String col2) → double

Available on DataFrame, provided by the DataFrameStats extension

Covariance between two columns.

covarianceMatrix(List<String> cols) → DataFrame

Available on DataFrame, provided by the DataFrameStats extension

Computes the Covariance Matrix for a list of columns.

describeColumn(String col) → Map<String, num>

Available on DataFrame, provided by the DataFrameStats extension

Descriptive statistics for a column.

exponentialSmoothing(String col, double alpha) → List<num>

Available on DataFrame, provided by the DataFrameStats extension

Calculates exponential smoothing for a column.

kurtosisColumn(String col) → double

Available on DataFrame, provided by the DataFrameStats extension

Calculates the kurtosis of a column.

linearRegression(String xCol, String yCol) → RegressionResult

Available on DataFrame, provided by the DataFrameStats extension

Performs simple linear regression on two columns.

logisticRegression(List<String> xCols, String yCol) → RegressionResult

Available on DataFrame, provided by the DataFrameStats extension

Performs logistic regression.

maxColumn(String col) → num

Available on DataFrame, provided by the DataFrameStats extension

Maximum value in a column.

meanColumn(String col) → double

Available on DataFrame, provided by the DataFrameStats extension

Calculates the mean of a column.

medianColumn(String col) → num

Available on DataFrame, provided by the DataFrameStats extension

Calculates the median of a column.

minColumn(String col) → num

Available on DataFrame, provided by the DataFrameStats extension

Minimum value in a column.

modeColumn(String col) → List<num>

Available on DataFrame, provided by the DataFrameStats extension

Calculates the mode of a column.

movingAverage(String col, int window) → List<num>

Available on DataFrame, provided by the DataFrameStats extension

Calculates simple moving average for a column.

multipleLinearRegression(List<String> xCols, String yCol) → RegressionResult

Available on DataFrame, provided by the DataFrameStats extension

Performs multiple linear regression.

normalizeColumn(String col) → List<num>

Available on DataFrame, provided by the DataFrameStats extension

Normalizes a column (Min-Max Scaling) to [0, 1]. Returns a new List<num>.

polynomialRegression(String xCol, String yCol, int degree) → RegressionResult

Available on DataFrame, provided by the DataFrameStats extension

Performs polynomial regression.

quantileColumn(String col, double q) → num

Available on DataFrame, provided by the DataFrameStats extension

Calculates the q-th quantile of a column.

seasonalDecompose(String col, int period, {String model = 'additive'}) → SeasonalDecomposition

Available on DataFrame, provided by the DataFrameStats extension

Performs seasonal decomposition on a column.

skewnessColumn(String col) → double

Available on DataFrame, provided by the DataFrameStats extension

Calculates the skewness of a column.

standardizeColumn(String col) → List<num>

Available on DataFrame, provided by the DataFrameStats extension

Standardizes a column (Z-Score Scaling). Returns a new List<num>.

stdDevColumn(String col) → double

Available on DataFrame, provided by the DataFrameStats extension

Calculates the standard deviation of a column.

sumColumn(String col) → num

Available on DataFrame, provided by the DataFrameStats extension

Calculates the sum of a column.

tTestOneSample(String col, num populationMean) → HypothesisTestResult

Available on DataFrame, provided by the DataFrameStats extension

Performs a one-sample t-test on a column against a population mean.

tTestPair(String col1, String col2, {bool equalVariance = true}) → HypothesisTestResult

Available on DataFrame, provided by the DataFrameStats extension

Performs a two-sample t-test between two columns.

varianceColumn(String col) → double

Available on DataFrame, provided by the DataFrameStats extension

Calculates the variance of a column.

zTest(String col, num mu0, num sigma) → HypothesisTestResult

Available on DataFrame, provided by the DataFrameStats extension

Z-test wrapper.