데이터 공부를 기록하는 공간

import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import warnings warnings.filterwarnings('ignore') df = pd.read_csv('./Mall_Customers/Mall_Customers.csv') print(df.shape) df.head(3) df = df.rename(columns = {"Annual Income (k$)": "income", "Spending Score (1-100)":"score", "Gender":"gender", "Age":"age"}) sns.pairplot(df, hue='gender') df.drop('Custome..