[Python] Show correlation values in pairplot

I have the below data:

prop_tenure prop_12m prop_6m
0.00 0.00 0.00
0.00 0.00 0.00
0.06 0.06 0.10
0.38 0.38 0.25
0.61 0.61 0.66
0.01 0.01 0.02
0.10 0.10 0.12
0.04 0.04 0.04
0.22 0.22 0.22


and I am doing a pairplot as below:

sns.pairplot(data)
plt.show()


However I would like to display the correlation coefficient among the variables and if possible the skewness and kurtosis of each variable. How do you do that in seaborn?

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