Outlier Detection after Detrending a Time Series With Missing Values or NaN

1. How do you find outliers in time series data?
2. Which method is more appropriate in dealing with missing data in time series?

How do you find outliers in time series data?

You can identify outliers at each location of a space-time cube using the Curve Fit Forecast, Exponential Smoothing Forecast, and Forest-based Forecast tools by specifying the Identify outliers option of the Outlier Option parameter.

Which method is more appropriate in dealing with missing data in time series?

Mean, Median and Mode

This is one of the most common methods of imputing values when dealing with missing data. In cases where there are a small number of missing observations, data scientists can calculate the mean or median of the existing observations open_in_new.