Chemistry, 11.03.2020 23:16 russboys3

You have a data from 100 stations worldwide that measured daily CO2 in the atmosphere over a year (365 days in total). You are interested to find out what are the most characteristic temporal signals of CO2 over a year, i. e. those that carry most of the variance. So you apply PCA on the data. a) What will be the dimension of the resulting eigenvectors (ie. how many elements per eigenvector) and what will be the dimension of PCs (i. e. how many elements per PC)

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You have a data from 100 stations worldwide that measured daily CO2 in the atmosphere over a year (3...