Hi, in the previous video, we got 0.281, which is lower even for what we got for our data after we "off set" it. Thus, why is it acceptable to model the "Zoo" data with 0.281 PCA?
For a biplot, try the Linear Projection widget. For drawing loadings, check the PCA’s Components output (first in a table, then connect it to the proper visualization depending on your data).
Hi, in the previous video, we got 0.281, which is lower even for what we got for our data after we "off set" it. Thus, why is it acceptable to model the "Zoo" data with 0.281 PCA?
How do you make the loadings plot? And biplot? In the last video I think you made the score plot
For a biplot, try the Linear Projection widget. For drawing loadings, check the PCA’s Components output (first in a table, then connect it to the proper visualization depending on your data).