Update app.py

app.py

@@ -78,7 +78,7 @@ def fetch_data():
         new_row = pd.DataFrame({
             "Store Name": [store_name],
             "Address": [address],
-            "Phone": [phone],  # Add phone number to the DataFrame
+            "Phone": [phone],
             "Latitude": [latitude],
             "Longitude": [longitude],
             "Region": [region]
@@ -93,7 +93,7 @@ def fetch_data():
 if st.button("Fetch Restaurant Data"):
     fetch_data()
     
-    # Save the DataFrame to CSV with UTF-8 encoding
+    # Save the DataFrame to CSV with UTF-8 encoding, including latitude and longitude
     csv_file = "restaurants_data.csv"
     df.to_csv(csv_file, encoding="utf-8-sig", index=False)
 
@@ -105,26 +105,39 @@ if st.button("Fetch Restaurant Data"):
         mime="text/csv"
     )
 
-    # Group the data by region
+    # Group the data by region and sum the number of restaurants
     region_group = df.groupby("Region").size().reset_index(name='Count')
 
-    # Plot pie chart
+    # Plot enlarged pie chart with store names
     pie_chart = go.Figure(go.Pie(
         labels=region_group["Region"],
         values=region_group["Count"],
-        hoverinfo="label+percent",
-        textinfo="value+percent",
+        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
     ))
-    st.subheader("Restaurant Distribution by Region (Pie Chart)")
+
+    pie_chart.update_layout(
+        height=600,  # Increase the size of the chart
+        margin=dict(t=0, b=0, l=0, r=0)
+    )
+    st.subheader("Restaurant Distribution by Region (Enlarged Pie Chart)")
     st.plotly_chart(pie_chart)
 
-    # Plot bar chart
+    # Plot bar chart with store counts
     bar_chart = go.Figure(go.Bar(
         x=region_group["Region"],
         y=region_group["Count"],
         text=region_group["Count"],
         textposition='auto'
     ))
+
+    bar_chart.update_layout(
+        height=400,
+        margin=dict(t=50, b=50, l=50, r=50),
+        title="Restaurant Count by Region"
+    )
     st.subheader("Restaurant Count by Region (Bar Chart)")
     st.plotly_chart(bar_chart)
 
@@ -140,7 +153,7 @@ if st.button("Fetch Restaurant Data"):
         if pd.notnull(row["Latitude"]) and pd.notnull(row["Longitude"]):
             folium.Marker(
                 location=[row["Latitude"], row["Longitude"]],
-                popup=f"{row['Store Name']} ({row['Phone']})",  # Show phone in the popup
+                popup=f"{row['Store Name']} ({row['Phone']})",
                 tooltip=row["Address"]
             ).add_to(marker_cluster)