text_plain_output_1.png
import numpy as np # linear algebra

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

df = pd.read_csv('/kaggle/input/creditcardfraud/creditcard.csv')

df.columns

df_missing = df.isnull().sum()
df_missing

df_desc = df.describe(include=np.number).transpose()
missing = df.isnull().sum() * 100 / len(df)
df_missing = pd.DataFrame(missing, columns=['missing%'])
pd.concat([df_desc, df_missing], axis=1)