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import numpy as np import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv(food-consumption.csv) food_items = data.columns[1:] def PCA(k, data): # Exclude non-numeric columns

import numpy as np import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv("food-consumption.csv") food_items = data.columns[1:] def PCA(k, data): # Exclude non-numeric columns (e.g., country names) X = data.select_dtypes(include=[np.number]).values print("Transposed data:") print(X) # Print transposed data mean_vec = np.mean(X, axis=0) cov_matrix = np.cov(X.T) eigenval, eigenvec = np.linalg.eigh(cov_matrix) print("Eigenvalues:") print(eigenv

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