<%NUMBERING1%>.<%NUMBERING2%>.<%NUMBERING3%> PRTG Manual: Calculating Percentiles

PRTG not only monitors your network and informs you in the case of issues that are worth you taking a closer look at in the here and now. PRTG also stores a lot of historic measurement data gathered from your sensors. This means that you have a great base for statistical analysis and evaluation of what is and was happening in your network.

When creating a Report with PRTG, you get raw data, sums, averages and percentages of your monitoring data.

Additionally, PRTG also offers percentile calculation. This statistical method puts your data in order, for example, from the lowest value to the highest value, and calculates the percentile you want, optimally informing you about the distribution of your network relevant data.

For example, if you request the 95th percentile, you know that 95 percent of the measured data is below a certain value, and thanks to PRTG, you know what this certain value is.

If applied, for example, to bandwidth, you know what values you are talking about when talking about the 5 percent of unusually high bandwidth consumption and which value your users do not exceed 95 percent of the time. Service providers often use percentiles to offer a fairer billing that excludes infrequent usage peaks.

If you want to know more about the formula that PRTG uses for percentile calculation, see this Knowledge Base article: What are percentiles and what differences do they make in PRTG reports?

Create a report for several sensors and device groups using the Report feature or create reports for single sensors using the Historic Data Reports.

Knowledge Base: What are percentiles and what differences do they make in PRTG reports?

https://kb.paessler.com/en/topic/9563

Advanced Topics

Keywords: Continuous (Percentiles),Discrete (Percentiles),Percentile