text_plain_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()

plt.figure(1, figsize=(15, 6))
n = 0
color = ['red', 'green', 'blue']
count = 0
for x in ['Age', 'Annual Income (k$)', 'Spending Score (1-100)']:
    n += 1
    plt.subplot(1, 3, n)
    plt.subplots_adjust(hspace=0.5, wspace=0.5)
    sns.distplot(data[x], color=color[count])
    plt.title('Distplot of {}'.format(x))
    count += 1
plt.show()