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Normalization
Hi,
A dataset of 20 samples from 3 time points (54 attributes per time point)
Normalization should be performed on the subset from each time point right? or on the entire data set?
The aim is to analyse changes of attributes between 3 points.
Which python or R plot best illustrates changes for that few samples vs attributes? Anyone a better way to illustrate?
https://beckmw.wordpress.com/2013/04/01/a-nifty-line-plot-to-visualize-multivariate-time-series/
Cheers
Sven
A dataset of 20 samples from 3 time points (54 attributes per time point)
Normalization should be performed on the subset from each time point right? or on the entire data set?
The aim is to analyse changes of attributes between 3 points.
Which python or R plot best illustrates changes for that few samples vs attributes? Anyone a better way to illustrate?
https://beckmw.wordpress.com/2013/04/01/a-nifty-line-plot-to-visualize-multivariate-time-series/
Cheers
Sven
0
Answers
when to normalize should really depend on what you want to compare.
If you compare within your sampling, then normalization within the sample is fine.
But if comparing different samples, then this might give false impressions.
The process below shows the differences.
I hope this clearifies your question.
BTW I like your plots a lot and they are good example of data visualization and to tell the story of these data. I would only option to choose only a few species, with all 25 (as in the first example) it is simply too much information in single plot.
Best,
David
thanks!
Sven
Thanks
Sven