import pandas as pd import numpy as np import seaborn as sns from sklearn import preprocessing

df = pd.read_csv("winequalityN.csv") display(df)

df.describe()

corr = df.corr() corr.style.background_gradient(cmap='coolwarm') # sns.set(rc = {'figure.figsize':(20,16)}) # sns.heatmap(corr, annot=True) # plt.show()