Need ideas on how to plot this large set of data

AI Thread Summary
The discussion centers on finding effective visualization methods for monitoring the performance of 450 memory controller sub-modules, each with 200 months of data. A suggested approach involves using a color chart to represent data points, where colors indicate value ranges, allowing for a clear visual representation of performance trends over time. Participants emphasize the importance of tailoring the chart to highlight specific data, such as focusing on modules with higher values while omitting those with consistently low values. Additional ideas include mapping features like temperature variations or software versions to enhance data comparison. Overall, the goal is to create an informative and visually appealing representation of complex data sets.
DyslexicHobo
Messages
249
Reaction score
0
I'm working on monitoring and trending the performance of a memory controller. Without getting into the technical details, I'm trying to find a good way to visualize the data I've collected in a way that will be easy for me to update when I receive new data.

There are about 450 individual sub-module controllers that I'm monitoring about once a month. The value that's being reported each month is a value anywhere from 5 to 30,000 (most are <100, and the ones I'm most interested in visually representing are the ones <100). I have about 200 data points for each of these 450 individual sub-modules, and I just can't figure out how to plot this data in a way that's visually appealing while not leaving out important information.

I'm not really that well-versed in data visualization. I know the basics of Excel but that's about it. I know it's silly to plot all 450 components on one line graph, so I'm hoping there's some plotting method that might apply here.

Let me know if any other info/clarification would help!
 
Mathematics news on Phys.org
so you have 450 modules with 200 months worth of data (ie one datapoint per module per month)?

The only thing I can think of is a color chart with x=month and y=module number and each datapoint as a color (blue <100, green >100 to <1000 and say red > 1000 or whatever color scheme you want. Basically you'd have a map of time vs module number horizontal red lines would indicate a module that has consistently had higher values and vertical lines would indicate a group of modules that had higher values for the given month.

Basically if you know what you're wanting to see then design the chart to show it. As an example, maybe you only want to see those modules with high values in the month so just drop the low value ones. Or maybe you want to plot value ranges vs number of modules within the given range.
 
This is a great idea! I think I'll use this and just omit all modules with consistently low values.

Thanks for the idea.
 
DyslexicHobo said:
This is a great idea! I think I'll use this and just omit all modules with consistently low values.

Thanks for the idea.

Great!

I was also thinking if there are any other features of the modules that could be charted such as location vs recorded data values. As an example, temperature modules being mapped to a physical map showing temperature variations from place to place. Another would be if the modules use different versons of software perhaps grouping them that way to compare software versions vs data values...
 
Suppose ,instead of the usual x,y coordinate system with an I basis vector along the x -axis and a corresponding j basis vector along the y-axis we instead have a different pair of basis vectors ,call them e and f along their respective axes. I have seen that this is an important subject in maths My question is what physical applications does such a model apply to? I am asking here because I have devoted quite a lot of time in the past to understanding convectors and the dual...
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...

Similar threads

Back
Top