Regular time series have a constant indexing interval throughout the series. Many statistical models and visualization tools assume that the data is regular. However, time series data is often irregular with varying time intervals between data points.
TD_RESAMPLE transforms an irregular time series to a regular time series by resampling the data at regular intervals. Transforming irregular time series data to regular time series data simplifies data analysis and visualization, and enables the use of standard statistical models and tools.
The function has various interpolation methods to fill in missing data points in the resampled time series. The interpolation method is selected based on the analysis, and the characteristics of the time series data.