Autocorrelation Plot

This node will generate both an Autocorrelation Function (ACF) plot and a Partial Auotcorrelation Function (PACF) plot. The ACF plot can be used to visualize correlations between the time series and lagged copies of itself, use this to identify seasonalities in your data. The PACF plot is a modified version of the ACF that attempts to account for and remove serial correlation, use this to identify key lag values to include in (S)ARIMA models.

Input ports

1. Type: Table
   Input Table

   Table containing the numeric column to analyse.

Output ports

1. Type: Table
   Lags & Plot Values

   Table representation of ACF and PACF plots.