Solved – Does it matter if standardization makes the data negative in Principal Component Analysis

I am using this source to "standardize" my data: LINK

For this I have to carry out calculations of subtracting off the mean and dividing by the standard deviation. Does it matter if I get negative values in my data after subtracting the mean?

Negative numbers aren't a problem for PCA.

In general, standardization will produce lots of negative numbers, because any value below the mean will be standardized to be negative.

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