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Last Updated:
- [[2021-02-23]]
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When combined with [[Raw data]], scatterplots can reveal performance bottlenecks that otherwise might have been hidden by a line graph.
Line graphs can obscure queueing behavior
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- Source: [[Stijn Schepers]], https://www.linkedin.com/pulse/robotic-analytical-framework-raf-stijn-schepers/

- Great argument for a scatterplot - a line graph might just show a slight spike.
- Also a great argument for viewing by transaction
- Source: [[Stijn Schepers]] https://www.linkedin.com/posts/stijnschepers_performanceengineering-tableau-neoload-activity-6740160615379177473-AvzR
- Stijn's explanation:
> Within the ESB we are trying to create a thread waiting room to partly throttle to load to the backend when extreme load (10x normal peak load) happens. Fun with tuning :)
![[NeotysPAC - Tableausaurus Rex: Analysing JMeter Results Using Tableau Desktop, by Stephen Townshend#^5779b5]]
- Source: [[Stephen Townshend]]
## See also
- [[Analyzing load testing results]]
- [[Load Testing]]
- [[Statistics]]
- [[Data Visualization]]
- [[Tableau]]
- [[View by transaction]]