qv.py

def scatter_plot_int_with_hue(x = 'person_age',y = 'person_income', hue = 'loan_grade'):
    plt.figure(dpi = 120)
    sns.set_style('whitegrid')
    return sns.scatterplot(data = df, x = x,y = y, alpha = 0.6, hue = hue, cmap = 'Set2').set_title('Visualize Relation Between 2 Quantative Variables with Hue')

B = interact(scatter_plot_int_with_hue,
             x = widgets.Dropdown(
                 options = ['person_age','person_income','person_emp_length','loan_amnt','loan_int_rate','loan_percent_income','cb_person_cred_hist_length']
                 ),
             y = widgets.Dropdown(
                 options = ['person_age','person_income','person_emp_length','loan_amnt','loan_int_rate','loan_percent_income','cb_person_cred_hist_length']
                 ),
              hue = widgets.Dropdown(
                 options = ['person_home_ownership', 'loan_intent', 'loan_grade','cb_person_default_on_file','loan_status']
                 ) 
            )
interactive(children=(Dropdown(description='x', options=('person_age', 'person_income', 'person_emp_length', '…