The Savitzky–Golay Filter is a digital filtering technique used to smooth data while preserving important features, such as peaks and valleys. It applies a polynomial regression to a set of data points within a moving window, allowing for effective noise reduction without significantly distorting the original signal. This filter is commonly used in various fields, including chemistry, signal processing, and spectroscopy. By adjusting the window size and polynomial order, users can tailor the filter to their specific data characteristics, making it a versatile tool for analyzing noisy datasets.