Update eda.py

eda.py

@@ -27,20 +27,19 @@ def run():
     st.title('Heart Failure Prediction')
     # st.subheader('Heart Failure Prediction Exploratory Data Analysis')
     # #Show Dataframe
-    # d = pd.read_csv('h8dsft_P1G3_Ardifa-Rizky-Saputra.csv')
-    # st.dataframe(d)
+    d = pd.read_csv('hotel_bookings.csv')
     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')
+    sns.histplot(data=d, 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')
+    sns.barplot(data=d, 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')
+    sns.countplot(data=d, 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')
+    sns.countplot(data=d, x='hotel', ax=ax[1, 1], palette='Set1')
     axes[1, 1].set_title("Total Bookings by Hotel Type")