Update app.py

app.py

@@ -27,3 +27,20 @@ filtered_df = filtered_df[(filtered_df['price'] >= price_range[0]) & (filtered_d
 # Display the filtered DataFrame
 st.write('Below is the sorted and filtered data:')
 st.write(filtered_df)
+
+# Calculate the average price of each available room in each selected neighbourhood
+avg_prices = filtered_df.groupby(['neighbourhood', 'room_type'])['price'].mean().reset_index()
+
+# Plot a histogram of the average prices
+if not avg_prices.empty:
+    st.write('Histogram of Average Price of Each Available Room in Each Neighbourhood:')
+    fig, ax = plt.subplots()
+    for room_type in avg_prices['room_type'].unique():
+        room_prices = avg_prices[avg_prices['room_type'] == room_type]
+        ax.hist(room_prices['price'], bins=20, alpha=0.5, label=room_type)
+    ax.legend()
+    ax.set_xlabel('Average Price')
+    ax.set_ylabel('Frequency')
+    st.pyplot(fig)
+else:
+    st.write('No data available for selected filters.')