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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import os
%matplotlib inline
os.listdir('../input/')
['lendingcart']
loan_df=pd.read_csv("../input/lendingcart/loan.csv")
/opt/conda/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3166: DtypeWarning: Columns (47) have mixed types.Specify dtype option on import or set low_memory=False. interactivity=interactivity, compiler=compiler, result=result)
loan_df.head()
loan_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 39717 entries, 0 to 39716 Columns: 111 entries, id to total_il_high_credit_limit dtypes: float64(74), int64(13), object(24) memory usage: 33.6+ MB