Update app.py

app.py

@@ -112,35 +112,44 @@ if st.button("Fetch Restaurant Data"):
     # Group the data by region and sum the number of restaurants
     region_group = df.groupby("Region").size().reset_index(name='Count')
 
-    # Plot enlarged pie chart with store names
+    # Plot enlarged pie chart with custom colors and labels
     pie_chart = go.Figure(go.Pie(
         labels=region_group["Region"],
         values=region_group["Count"],
-        textinfo="label+percent",  # Include region and percentage
-        hoverinfo="label+value",   # Show region and count on hover
-        textfont=dict(size=18),    # Make text larger
-        marker=dict(line=dict(color='#000000', width=2))  # Add a border to slices
+        textinfo="label+percent",
+        hoverinfo="label+value",
+        textfont=dict(size=18),
+        marker=dict(colors=px.colors.qualitative.Set3, line=dict(color='#000000', width=2))
     ))
 
     pie_chart.update_layout(
-        height=600,  # Increase the size of the chart
-        margin=dict(t=0, b=0, l=0, r=0)
+        title="Restaurant Distribution by Region",
+        title_x=0.5,
+        title_font=dict(size=24, family="Arial"),
+        height=600,
+        margin=dict(t=50, b=50, l=50, r=50)
     )
     st.subheader("Restaurant Distribution by Region (Enlarged Pie Chart)")
     st.plotly_chart(pie_chart)
 
-    # Plot bar chart with store counts
+    # Plot bar chart with custom colors and labels
     bar_chart = go.Figure(go.Bar(
         x=region_group["Region"],
         y=region_group["Count"],
         text=region_group["Count"],
-        textposition='auto'
+        textposition='auto',
+        marker=dict(color=px.colors.qualitative.Set2)
     ))
 
     bar_chart.update_layout(
+        title="Restaurant Count by Region",
+        title_x=0.5,
+        title_font=dict(size=24, family="Arial"),
         height=400,
         margin=dict(t=50, b=50, l=50, r=50),
-        title="Restaurant Count by Region"
+        xaxis_title="Region",
+        yaxis_title="Number of Restaurants",
+        xaxis=dict(tickangle=-45)
     )
     st.subheader("Restaurant Count by Region (Bar Chart)")
     st.plotly_chart(bar_chart)