Design a Data Helper Class in Python

class DataPoint:
    def __init__(self, x, y):
        self.x = x
        self.y = y
        self.label = None

    def describe(self):
        """Return a human-readable description of the data point."""
        base = f"DataPoint(x={self.x}, y={self.y})"
        return f"{base}, label='{self.label}'" if self.label else base


class Dataset:
    def __init__(self, name):
        self.name = name
        self.points = []

    def add_point(self, x, y, label=None):
        """Add a new data point to the dataset."""
        point = DataPoint(x, y)
        point.label = label
        self.points.append(point)

    def summary(self):
        """Return dataset stats as a dictionary."""
        if not self.points:
            return {"name": self.name, "count": 0}
        xs = [p.x for p in self.points]
        ys = [p.y for p in self.points]
        return {
            "name": self.name,
            "count": len(self.points),
            "x_range": (min(xs), max(xs)),
            "y_range": (min(ys), max(ys)),
        }

    def print_points(self):
        """Print all points to the console."""
        for p in self.points:
            print(p.describe())


if __name__ == "__main__":
    ds = Dataset("Sample")
    ds.add_point(1, 2, label="A")
    ds.add_point(3, 5)
    ds.add_point(0, 1, label="B")
    ds.print_points()
    print("Summary:", ds.summary())