Forward / Backward Fill

Forward and backward fill are common in time series data, carrying the last known value forward or the next known value backward to fill gaps. This assumes a value likely stayed the same or is reasonably close to nearby recorded values. It's a simpler alternative to statistical imputation, often used when data is missing due to something like a sensor briefly going offline.