Appropriate to use corr() to find relation between tags? 469-8

This is in reference to page 8: Relations Between Tags of the Popular Data Science Questions Guided Project.

Here goes my question:

For finding tag relationships, does it make sense to calculate and visualize a Pearson correlation coefficient for the relations_most_used dataframe found in the solutions. Why or why not?

# Calculate the Pearson correlation coefficients between tags
most_used_correlate = relations_most_used.corr()

# Delete all values where the tag relates to itself
for i in range(most_used_correlate.shape[0]):
    correlate.iloc[i,i] =
# Plot the heatmap    
sns.heatmap(correlate, cmap='Greens')