Demo
Features
Scree plot
Determine the number of principal components to retain in your analysis. This plot displays the proportion of total variance in the data for each principal component.
PCA plot 2D and 3D
PCA works by reducing the dimensionality of the data. It takes a dataset with many variables and simplifies it into just a few “principal components” that capture the majority of the variation in the data.
Loading table
To see which variables contribute how much to each principal component with loading table.
PCA Generator
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