text_plain_output_2.png text_plain_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

data = pd.read_csv('../input/Mall_Customers.csv')

data.shape

data.isnull().any()

sns.set(style='white', palette='PuBuGn_d', color_codes=True)

size = data['Gender'].value_counts()

n = 0
color = ['red', 'green', 'blue']
count = 0
for x in ['Age', 'Annual Income (k$)', 'Spending Score (1-100)']:
    n += 1
    count += 1

sns.pairplot(data)
plt.plot()