Update visualization.py

visualization.py

@@ -39,8 +39,10 @@ class Visualization:
         )
         engagement_bars = ax.bar(
             [i + bar_width / 2 for i in index], 
-            student_metrics_df['Engagement (%)'], 
-            width=bar_width, label='Engagement (%)', 
+            # student_metrics_df['Engagement (%)'], # REMOVED REMOVED
+            # width=bar_width, label='Engagement (%)', # REMOVED REMOVED
+            student_metrics_df['Engaged (%)'], 
+            width=bar_width, label='Engaged (%)', 
             color='#3AB0FF', alpha=0.7
         )
 
@@ -63,7 +65,8 @@ class Visualization:
         # ax.axhline(y=90, color='#005288', linestyle=':', linewidth=1.5, label=f'Attendance Threshold: ≥ 90%')
         # ax.axhline(y=80, color='#3AB0FF', linestyle=':', linewidth=1.5, label=f'Engagement Threshold: ≥ 80%')
         ax.axhline(y=attendance_avg_stats, color='#005288', linestyle='--', linewidth=1.5, label=f'Attendance Average: {attendance_avg_stats}%')
-        ax.axhline(y=engagement_avg_stats, color='#3AB0FF', linestyle='--', linewidth=1.5, label=f'Engagement Average: {engagement_avg_stats}%')
+        # ax.axhline(y=engagement_avg_stats, color='#3AB0FF', linestyle='--', linewidth=1.5, label=f'Engagement Average: {engagement_avg_stats}%') # REMOVED REMOVED
+        ax.axhline(y=engagement_avg_stats, color='#3AB0FF', linestyle='--', linewidth=1.5, label=f'Engaged Average: {engagement_avg_stats}%')
         
         # Set the x-limits to ensure the fill covers the entire plot width
         ax.set_xlim(left=x_min, right=x_max)