text_html_output_1.png
import numpy as np # linear algebra

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

youtube = pd.read_csv('/kaggle/input/youtube-new/GBvideos.csv')

missing_values_count = youtube.isnull().sum()
missing_values_count

total_cells = np.product(youtube.shape)
total_missing = missing_values_count.sum()
total_missing / total_cells * 100

indices = list(np.where(youtube['description'].isnull())[0])
indices