import { DataTable } from './data-table';
/**
 * Statistical summary for a single column.
 */
type ColumnStats = {
    /** Minimum value (excluding NaN/Inf). */
    min: number;
    /** Maximum value (excluding NaN/Inf). */
    max: number;
    /** Median value. */
    median: number;
    /** Arithmetic mean. */
    mean: number;
    /** Standard deviation. */
    stdDev: number;
    /** Count of NaN values. */
    nanCount: number;
    /** Count of Infinity values. */
    infCount: number;
    /** ASCII histogram of value distribution. */
    histogram: string;
};
/**
 * Statistical summary for an entire DataTable.
 */
type SummaryData = {
    /** Summary format version. */
    version: number;
    /** Total number of rows. */
    rowCount: number;
    /** Per-column statistics keyed by column name. */
    columns: Record<string, ColumnStats>;
};
/**
 * Computes statistical summary for all columns in a DataTable.
 *
 * For each column, calculates min, max, median, mean, standard deviation,
 * and counts of NaN/Infinity values. Useful for data validation and analysis.
 *
 * @param dataTable - The DataTable to analyze.
 * @returns Summary data with per-column statistics.
 *
 * @example
 * ```ts
 * const summary = computeSummary(dataTable);
 * console.log(summary.rowCount);
 * console.log(summary.columns['x'].mean);
 * console.log(summary.columns['opacity'].nanCount);
 * ```
 */
declare const computeSummary: (dataTable: DataTable) => SummaryData;
export { computeSummary, type ColumnStats, type SummaryData };