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# µû¶óÇÏ¸ç ¹è¿ì´Â ÆÄÀ̽ã°ú µ¥ÀÌÅÍ°úÇÐ(»ý´ÉÃâÆÇ»ç 2020)
# 14.24 ¾î¶² Ư¡µéÀÌ ¼·Î »ó°ü°ü°è°¡ ÀÖÀ»±î, 394ÂÊ
#
import pandas as pd
import seaborn as sns # ½Ã°¢È¸¦ À§ÇÏ¿© Seaborn ¶óÀ̺귯¸®¸¦ ÀÌ¿ëÇÔ
import matplotlib.pyplot as plt
life = pd.read_csv('life_expectancy.csv')
sns.pairplot(life[['Life expectancy', 'Alcohol', 'Percentage expenditure',
'Measles', 'Polio', 'BMI', 'GDP', 'Thinness 1-19 years']])
plt.show()