Update app.py

app.py

@@ -2,6 +2,8 @@ import streamlit as st
 import pandas as pd
 import numpy as np
 
+st.title("CXO Dashboard")
+
 # Existing metric cards code
 col1, col2, col3, col4 = st.columns(4)
 col1.metric("Market Share", "14%", "1%")
@@ -9,7 +11,7 @@ col2.metric("Revenue", "246971", "14%")
 col3.metric("Cost", "101500", "4%")
 col4.metric("Profit", "145471", "10%")
 
-# Fake data for the bar charts
+# Fake data for the first set of bar charts
 data1 = pd.DataFrame({
     'QTR': ['Q1', 'Q2', 'Q3', 'Q4'],
     'Market Share': np.random.randint(10, 20, size=4)
@@ -20,7 +22,7 @@ data2 = pd.DataFrame({
     'Market Share': np.random.randint(20, 30, size=4)
 })
 
-# Creating two bar charts
+# Creating the first set of two bar charts
 col1, col2 = st.columns(2)
 
 with col1:
@@ -28,3 +30,23 @@ with col1:
 
 with col2:
     st.bar_chart(data2.set_index('QTR'))
+
+# Fake data for the second set of bar charts
+data3 = pd.DataFrame({
+    'QTR': ['Q1', 'Q2', 'Q3', 'Q4'],
+    'Market Share': np.random.randint(30, 40, size=4)
+})
+
+data4 = pd.DataFrame({
+    'QTR': ['Q1', 'Q2', 'Q3', 'Q4'],
+    'Market Share': np.random.randint(40, 50, size=4)
+})
+
+# Creating the second set of two bar charts
+col3, col4 = st.columns(2)
+
+with col3:
+    st.bar_chart(data3.set_index('QTR'))
+
+with col4:
+    st.bar_chart(data4.set_index('QTR'))