diff --git a/Lectures/06 Level I/05 Monty Hall Problem Simulation/solutions/solution-1/README.md b/Lectures/06 Level I/05 Monty Hall Problem Simulation/solutions/solution-1/README.md
index 7f073c6..796839f 100644
--- a/Lectures/06 Level I/05 Monty Hall Problem Simulation/solutions/solution-1/README.md	
+++ b/Lectures/06 Level I/05 Monty Hall Problem Simulation/solutions/solution-1/README.md	
@@ -14,6 +14,7 @@ This implementation solves the famous Monty Hall problem, presenting an interact
    ├─ monty_hall.py
    └─ app.py
 ```
+
 - `README.md`: This descriptive file
 - `requirements.txt`: Contains all the required modules and libraries needed to run the project
 - `src/monty_hall.py`: Contains the Python program to simulate the Monty Hall game
@@ -23,6 +24,7 @@ This implementation solves the famous Monty Hall problem, presenting an interact
 
 - Python 3.7 or higher
 - Streamlit
+- pandas
 
 To install necessary packages, run `pip install -r requirements.txt`.
 
@@ -32,7 +34,7 @@ You can play the Monty Hall game simulation by adding the `src` directory to the
 
 `python3 src/monty_hall.py`
 
-To start the Streamlit dashboard, run: 
+To start the Streamlit dashboard, run:
 
 `streamlit run src/app.py`
 
diff --git a/Lectures/06 Level I/05 Monty Hall Problem Simulation/solutions/solution-1/src/app.py b/Lectures/06 Level I/05 Monty Hall Problem Simulation/solutions/solution-1/src/app.py
index 29e4acd..3cfdd0c 100644
--- a/Lectures/06 Level I/05 Monty Hall Problem Simulation/solutions/solution-1/src/app.py	
+++ b/Lectures/06 Level I/05 Monty Hall Problem Simulation/solutions/solution-1/src/app.py	
@@ -1,4 +1,5 @@
 import streamlit as st
+import pandas as pd
 import time
 
 from monty_hall import simulate_games
@@ -14,11 +15,13 @@
 
 col1, col2 = st.columns(2)
 col1.subheader("Win Percentage Without Switching")
-chart1 = col1.line_chart(x=None, y=None, width=0, height=400)
-chart1.add_rows([1.0]) # Add a row to ensure the chart y-axis starts at 1
+chart1 = col1.empty()
+no_switch_history = []
+
 col2.subheader("Win Percentage With Switching")
-chart2 = col2.line_chart(x=None, y=None, width=0, height=400)
-chart2.add_rows([1.0]) # Add a row to ensure the chart y-axis starts at 1
+chart2 = col2.empty()
+switch_history = []
+
 
 for i in range(num_games):
     # Simulate one game at a time
@@ -28,9 +31,23 @@
     wins_no_switch += num_wins_without_switching
     wins_switch += num_wins_with_switching
 
-    # # Display the current percentages after each game
-    chart1.add_rows([wins_no_switch / (i + 1)])
-    chart2.add_rows([wins_switch / (i + 1)])
+    no_switch_history.append(wins_no_switch / (i+1))
+    switch_history.append(wins_switch / (i+1))
+    
+    data1 = pd.DataFrame({
+        "Trial": range(1, len(no_switch_history) + 1),
+        "Switch": no_switch_history
+    })
+
+    data2 = pd.DataFrame({
+        "Trial": range(1, len(switch_history) + 1),
+        "Switch": switch_history
+    })
+
+    data1 = data1.set_index("Trial")
+    chart1.line_chart(data1)
+    data2 = data2.set_index("Trial")
+    chart2.line_chart(data2)
 
     # Add a delay to create a slow loop effect
     time.sleep(0.01)