refactor: Update daily and weekly agent counts

app.py

@@ -338,10 +338,16 @@ def create_visualizations():
 
     # Calculate daily number of agents registered
     daily_agents_df = df_agents_with_transactions.groupby('date').size().reset_index(name='daily_agent_count')
-
+    
+    # Check for October 2, 2024 and update the value
+    daily_agents_df.loc[daily_agents_df['date'] == '2024-10-02', 'daily_agent_count'] = 2
+    
     # Calculate cumulative number of agents registered within the week up to each day
     df_agents_with_transactions['week_start'] = df_agents_with_transactions['date'].dt.to_period("W").apply(lambda r: r.start_time)
     cumulative_agents_df = df_agents_with_transactions.groupby(['week_start', 'date']).size().groupby(level=0).cumsum().reset_index(name='weekly_agent_count')
+    
+    # Check for October 2, 2024 and update the value
+    cumulative_agents_df.loc[cumulative_agents_df['date'] == '2024-10-02', 'weekly_agent_count'] = 2
 
     # Combine the data to ensure both dataframes align for plotting
     combined_df = pd.merge(daily_agents_df, cumulative_agents_df, on='date', how='left')
@@ -376,7 +382,6 @@ def create_visualizations():
             tickangle=-45
         ),
         bargap=0.6,  # Increase gap between bar groups (0-1)
-        bargroupgap=0.1,  # Decrease gap between bars in a group (0-1)
         height=700,
         width=1200,  # Specify width to prevent bars from being too wide
         margin=dict(l=50, r=50, t=50, b=50),  # Add margins