This article focuses on searching for clusters within the tweets data scraped based on a certain topic. import pandas as pd
from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt
import seaborn as sns df = pd.read_csv('/content/tweets.csv')
df.head() plt.figure(figsize=(10,6))
sns.heatmap(df.isna().transpose(),
cmap="YlGnBu",
cbar_kws={'label': 'Missing Data'})
plt.savefig("visualizing_missing_data_with_heatmap_Seaborn_Python.png", dpi=500)