Baselining
In addition to long term analyses to identify trends, IsarFlow provides a real baselining capability. Thereby the hourly-data of multiple weeks are aggregated to a reliable and meaningful analysis. Thus, on one hand, typical patterns are easily recognizable (the classic: traffic patterns during work days compared to weekends) and on the other hand, outliers are instantly identifiable.
For clarification, you can find an example below where the data of a month (one line per day)
![Baseline A](https://isarflow.de/_Resources/Persistent/4/a/9/9/4a99b06080ca426e47382a323b284f3f7642ac4f/Baseline_A.png)
were aggregated to baselines with according variations:
![Baseline B](https://isarflow.de/_Resources/Persistent/0/9/5/6/09560478d8b713f996f83161214f70db427b0b2f/Baseline_B.png)
A look at the calendar shows us, that typical work day - weekend traffic patterns exist in this network.
![Baseline C 02](https://isarflow.de/_Resources/Persistent/4/c/3/7/4c375e099fd36c7a7e4fc73a76e444162f9a1f41/Baseline_C_02.png)
Obvious variations from normal traffic patterns become clearly visible in the above picture as well as in the calendar.