Function evaluateCorrelation

src/compute-engine/library/statistics.ts:901–932

(
  ce: ComputeEngine,
  ops: ReadonlyArray<Expression>,
  numericApproximation: boolean
)

        // Symbolic data: stay inert rather than fold a valueless symbol to
        // `NaN` — see `collectData`. One walk feeds both paths below.
        const xs = collectData(ops);
        if (xs === null) return undefined;
        const nonReal = nonRealUnivariateError(
          engine,
          'InterquartileRange',
          xs
        );
        if (nonReal) return nonReal;
        // A datum with no real value leaves the sort with nothing to order by
        // — see `hasValuelessDatum`.
        if (hasValuelessDatum(xs)) return engine.NaN;
        if (!numericApproximation) {
          const vals = exactData(xs);
          if (vals) {
            const [q1, , q3] = exactQuartiles(engine, vals);
            return subtract(engine, q3, q1);
          }
        }
        return engine.number(
          bignumPreferred(engine)
            ? bigInterquartileRange(bigScalarsOf(xs))
            : interquartileRange(scalarsOf(xs))
        );
      },
    },

    Histogram: {
      description:
        'Compute a histogram of the values in a collection. Returns a list of (bin start, count) tuples.',
      complexity: 8200,
      // The bin spec accepts any number so Desmos-style `histogram(L, .05)`
      // (bin *width*) parses; a non-integer count is inert at evaluate
      // (`computeBinning` returns undefined) — width semantics are the
      // importer's to translate (e.g. to explicit bin edges).
      signature: