%% Last Updated: - [[2021-02-23]] %% 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 - ![](assets/1621807307_107.png) - ![](assets/1621807307_108.png) - Source: [[Stijn Schepers]], https://www.linkedin.com/pulse/robotic-analytical-framework-raf-stijn-schepers/ ![](assets/1621807308_109.png) - 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]]