Upload my_app_assignment.py

my_app_assignment.py

@@ -46,9 +46,16 @@ ax2.set_xlabel("Total Bill")
 ax2.set_ylabel("Tip Percentage (%)")
 ax2.grid(True, linestyle="--", alpha=0.5)
 st.pyplot(fig2)
-st.markdown("**Interpretation:** The scatter plot shows that as the total bill goes up, the tip percentage generally goes down." \
-" This means people(both male and female) tend to tip a smaller percentage on larger bills. " \
-"There are a few cases with very high tip percentages, especially on smaller bills.")
+# --- Calculate dynamic interpretation ---
+avg_tip_male = filtered[filtered["sex"]=="Male"]["tip_pct"].mean()
+avg_tip_female = filtered[filtered["sex"]=="Female"]["tip_pct"].mean()
+
+st.markdown(
+    f"**Interpretation:** For the selected filters, the average tip percentage for males is {avg_tip_male:.2f}% "
+    f"and for females is {avg_tip_female:.2f}%. "
+    "The scatter plot shows that as the total bill increases, tip percentage tends to decrease, "
+    "although there are some cases where smaller bills have higher tip percentages."
+)
 
 # Plot 3 — Tip Percentage by Smoking Status
 fig3, ax3 = plt.subplots(figsize=(6,4))  # match Colab size