Re: Visualising The Grinder data with R

* Gary Mulder <[email protected]> [20160119 20:50]:
> All,
> 
> I've been working on some professional looking visualisations of The
> Grinder data using the statistical analysis and plotting language R.
> 
> The R script I wrote is still very alpha, but is producing some very useful
> plots already. You can find the R script on Github here (you'll have to
> change some constants at the start of the script to read your single data
> log file):
> 
> https://github.com/gjmulder/timeseries-analysis/blob/master/grinder_analysis.R
> 
> 
> And some sample output plots here:
> 
> http://www.perficientur.co.uk/rgrinder/
> 
> 
> The histogram plots are an alternative way of showing response times that
> provides much more detail than simplistic requests over time plots, summary
> means, and standard deviations. To add context, I've then enhanced the
> response time histograms by colouring them by response states (e.g. by
> failed versus successful request, by HTTP response code, or by response
> length).
> 
> Once you get used to R's somewhat unusual syntax, it is very easy to
> generate ad hoc plots in R and has literally added a whole new dimension to
> analysing my test results. I'm thinking a stacked bar plot that breaks down
> overall response time by connect time + time to first byte + rest might be
> interesting as well.
> 
> Feedback and suggestions for added features would be much appreciated!
> 
Great, thanks for sharing.

I'd probably give a shot at boxplots, also, it'd be nice to have an easy
way to select some tests only.

tks
--
pica

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