Re: [OT] Data visualisation

That's a lot of variables to try and visualise in one go. What about creating a synthetic metric of some sort that combines the 3 that you've got ? (Mem * Insert * find) is possibly the simplest. But that will depend on what you're trying to measure. Then you can draw a 3d plot for each value of P1 showing p2:p3:metric. That's a lot of plots, but it might tell you something (or not!)

I've used synthetic metrics and found them to be quite useful, but you do need to educate your users that the absolute values are meaningless and only the relative difference has any sort significant.

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Re^2: [OT] Data visualisation by hdb (Monsignor) on Feb 07, 2015 at 17:59 UTC
I support your proposal, I would go for a weighted sum of the target variables, like dividing the first by 100000, and then find the best combination. Playing with the weights for each column can help. Or run some multivariate linear statistics on each of metrics to see how the relationship looks like. If you get high R^2s then life will be easy. There might even be a module to do that...	[reply]
Re^2: [OT] Data visualisation by LanX (Saint) on Feb 08, 2015 at 06:29 UTC
> What about creating a synthetic metric of some sort that combines the 3 that you've got ? (Mem Insert * find)* Actually this product is just the volume of the cuboid with these metrics as edge length. Hence cuboids placed in the center of cells in a 3d grid can have the combined metric and the components available in the same visual representation. To facilitate the display, I'd normalize the metrics to approximate a cube in average and avoid extreme edge values which extend the cell boundaries. Additionally I'd use a color range for the volume of the cuboids. Cheers Rolf PS: Je suis Charlie!	[reply]