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I did Principal Component Analysis (PCA) in order to reduce the number of variables and identify underlying patterns in the data.

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nisaharan/Baseball-players-performance-analysis-using-PCA

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Principal-Components-Analysis

This dataset contains information on 322 Major League Baseball players from the 1986 season, including various statistics about their performance such as At Bats, Hits, Home Runs, Runs, RBI, Walks, Years of experience, and more.

This also includes categorical variables such as League, Division, and New League, which indicate the player's team affiliation, as well as the player's salary. The salary variable has 59 missing values.

I did Principal Component Analysis (PCA) in order to reduce the number of variables and identify underlying patterns in the data.

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I did Principal Component Analysis (PCA) in order to reduce the number of variables and identify underlying patterns in the data.

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