I am building a credit risk model. I run into problem visualizing the data in a histogram

I tried this code:

# List of numerical columns for histogram visualization
numerical_columns = ['case_id', 'collater_valueofguarantee_1124L', 'collater_valueofguarantee_876L',
                     'num_group1', 'num_group2', 'pmts_month_158T', 'pmts_month_706T',
                     'pmts_year_1139T', 'pmts_year_507T']

# Plot histograms for each numerical column
for column in numerical_columns:
    plt.hist(df[column].dropna(), bins=20)  # Drop null values before plotting
    plt.xlabel(column)
    plt.ylabel('Frequency')
    plt.title(f'Histogram of {column}')
    plt.show()

And I end up with the following histograms like the attached. I can’t read meaning this

Any suggestions on how i can improve my histogram is very much welcome.

Cheers