The statistics collection was initiated for Baseline Correlator for checking if the antenna’s digitizers were in proper shape to convert signals from the analog domain. However, for using that tool, we needed to stop observation during the data retrieval process. The addition of this feature in \ac{ACA} Correlator provided a relief in the usage of our central signal processor, allowing scientist to devote more time to use the instrument. This Python implementation configures The \ac{ACA} \ac{CCC} to perform a scan using the input defined by a desired antenna where the statistics are meant to be gathered. The setup of the computer is done by sending Linux commands and waiting for its result to appear on screen, the script captures this information and in then displayed in a formatted message on screen with a plot of the histograms of the theoretical Gaussian-like distribution and the real (measured) distribution.