Learn how to analyze sequential measurement data, which is not a single point but a series of points represented as curves. Examples include chemical spectra, sensors, and batch or streaming data. Learn how to efficiently use the entire data range, rather than selected points in the curve, to provide immediately interpretable results, including graphs, which are typically used to understand this type of data.