In time series data analysis, which method can be used to fill missing values by taking the average of nearby data points?
- Forward Fill (FFill)
- Backward Fill (BFill)
- Interpolation
- Regression Imputation
Forward Fill (FFill) is a method in time series data analysis used to fill missing values by taking the value of the nearest previous data point. This is often used when there's a trend in the data and using the average of nearby points makes sense.
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