text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

df_train = pd.read_csv('/kaggle/input/loan-data-set/loan_train.csv')
df_test = pd.read_csv('/kaggle/input/loan-data-set/loan_test.csv')

df_train.isna().sum()

df_train.isna().sum()

columns_list = list(df_train.columns)
plt.figure(figsize=(12, 20))
for i in range(len(columns_list)):
    plt.subplot(5, 3, i + 1)
    plt.title(columns_list[i])
    plt.xticks(rotation=45)
    plt.hist(df_train[columns_list[i]])
plt.tight_layout()