Google Sheets PCA: Data Analysis Guide
Principal component analysis (PCA) is a statistical technique used to reduce the dimensionality of data by identifying the principal components, which are the directions of greatest variance in the data. This can be useful for data analysis and visualization, as it can help to identify patterns and relationships in the data that would not be apparent from the original data. Google Sheets provides a PCA function that can be used to analyze data, and this guide will provide step-by-step instructions on how to use the function and interpret the results.
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