In [1]:

    

import pandas as pd
import numpy as np
import seaborn as sns


    

In [11]:

    

data = pd.read_csv('/home/surya/Documents/dataset/UCI/bank/bank/bank.csv',header=0)
data.dropna()
data.head()


    

    
Out[11]:







  

    

      

      
age;"job";"marital";"education";"default";"balance";"housing";"loan";"contact";"day";"month";"duration";"campaign";"pdays";"previous";"poutcome";"y"
    
  
  

    

      
0
      
30;"unemployed";"married";"primary";"no";1787;...
    
    

      
1
      
33;"services";"married";"secondary";"no";4789;...
    
    

      
2
      
35;"management";"single";"tertiary";"no";1350;...
    
    

      
3
      
30;"management";"married";"tertiary";"no";1476...
    
    

      
4
      
59;"blue-collar";"married";"secondary";"no";0;...