This is just an example. Actual test was executed with thousands of samples with different transactions. It's a transaction controller. Also I'm using "Result1.csv" format only. I have automated Aggregate report and HTML report creation. Manual calculations are not allowed.
On Fri, Feb 26, 2021 at 7:48 PM Mariusz W <[email protected]> wrote: > Hi, > Yes, indeed results are strange... You have only 6 samples and very wide > distribution. Did You try to get more samples? I think that there is too > small amount of samples to do any descriptive statistics and draw > conclusions about test results and system. What is this sampler in report? > Is it http sampler or Transaction Controller? You can always make your own > calculations in Excel (use -l result1.csv during test and load csv file in > Excel). In excel you cannot use PERCENTILE.EXC on small number of samples > however. > > Mariusz > > On Fri, 26 Feb 2021 at 14:15, Abhitosh Patil <[email protected]> > wrote: > >> Hi, >> >> I'm generating HTML dashboard report and aggregate report during a load >> test. >> There is a huge difference in 90th percentile values in aggregate report >> and HTML report. >> It seems that HTML dashboard report is showing incorrect values. >> Can someone help me on this? >> >> Screenshots: >> Aggregate report (90th percentile is 123): >> [image: image.png] >> >> HTML report (90th percentile is 44266): >> [image: image.png] >> >> I tried the solution provided in the post below. But it didn't work: >> >> https://dzone.com/articles/how-to-achieve-better-accuracy-in-latency-percenti >> >> >> Regards, >> AP >> >
