text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

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

import seaborn as sns

import warnings

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import os
plt.style.use('ggplot')
import warnings
warnings.filterwarnings('ignore')

df = pd.read_csv('../input/customer-personality-analysis/marketing_campaign.csv', sep='\t')

df.columns

people_num = ['Year_Birth', 'Income', 'Kidhome', 'Teenhome', 'Recency']

plt.tight_layout()

plt.figure(figsize=(12, 8))
for i, colName in enumerate(people_num):
    plt.subplot(2, 3, i + 1)
    sns.boxplot(data=df, x=colName)
plt.tight_layout()
plt.show()