Update eda.py

eda.py

@@ -29,7 +29,24 @@ def run():
     # #Show Dataframe
     # d = pd.read_csv('h8dsft_P1G3_Ardifa-Rizky-Saputra.csv')
     # st.dataframe(d)
+    fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(12, 10))
 
+    sns.histplot(data=df, x='lead_time', hue='hotel', multiple='stack', bins=20, ax=ax[0, 0], palette='Set1')
+    axes[0, 0].set_title("Booking Behavior by Hotel Type (Lead Time)")
+
+    sns.barplot(data=df, x='hotel', y='is_canceled', ax=ax[0, 1], palette='Set1')
+    axes[0, 1].set_title("Cancellation Rate by Hotel Type")
+
+    sns.countplot(data=df, x='booking_changes', hue='hotel', ax=ax[1, 0], palette='Set1')
+    axes[1, 0].set_title("Booking Changes by Hotel Type")
+
+    sns.countplot(data=df, x='hotel', ax=ax[1, 1], palette='Set1')
+    axes[1, 1].set_title("Total Bookings by Hotel Type")
+
+
+    plt.tight_layout()
+
+    plt.show()
     # st.write('#### scatterplot berdasarkan Input User')
     # pilihan1 = st.selectbox('Pilih column : ', ('age', 'creatinine_phosphokinase','ejection_fraction', 'platelets','serum_creatinine', 'serum_sodium', 'time'),key=1)
     # pilihan2 = st.selectbox('Pilih column : ', ('age', 'creatinine_phosphokinase','ejection_fraction', 'platelets','serum_creatinine', 'serum_sodium', 'time'),key=2)