text_plain_output_1.png
import matplotlib.pyplot as plt

import numpy as np # linear algebra

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

df_train = pd.read_excel('../input/Data_Train.xlsx')
df_test = pd.read_excel('../input/Data_Test.xlsx')

df_train.sample(5)

df_train.isna().sum()

plt.figure(figsize=(8, 5))
labels = list(set(df_train['SECTION']))
counts = []
for label in labels:
    counts.append(np.count_nonzero(df_train['SECTION'] == label))
plt.pie(counts, labels=labels, autopct='%1.1f%%')
plt.show()