Update eda.py

eda.py

@@ -34,17 +34,15 @@ def run():
 
     # Barplot booking status
     st.write('###### Status Cancel Reservation')
-    fig, ax=plt.subplots(figsize=(10,5))
-    sns.barplot(x=df['booking_status'].value_counts().index, y=df['booking_status'].value_counts())
-    plt.xticks(rotation='vertical')
-    plt.title('Barplot')
-    plt.show()
+    fig=plt.figure(figsize=(15,5))
+    sns.countplot(x='booking_status', data = df)
     st.pyplot(fig)
 
+
     # Barplot segmented market 
     st.write('###### Source of reservation')
     fig=plt.figure(figsize=(15,5))
-    sns.barplot(x=df['market_segment_type'].value_counts().index, y=df['market_segment_type'].value_counts())
+    sns.countplot(x='market_segment_type', data = df)
     st.pyplot(fig)
 
     # Barplot price room 
@@ -53,13 +51,13 @@ def run():
     labels =[1,2,3]
     df['binned_price'] = pd.cut(df['avg_price_per_room'], bins,labels=labels).astype(int)
     fig=plt.figure(figsize=(15,5))
-    sns.barplot(x=df['binned_price'].value_counts().index, y=df['binned_price'].value_counts())
+    sns.countplot(x='binned_price', data = df)
     st.pyplot(fig)
 
     # Barplot type room 
     st.write('###### Room type reserved')
     fig=plt.figure(figsize=(15,5))
-    sns.barplot(x=df['room_type_reserved'].value_counts().index, y=df['room_type_reserved'].value_counts())
+    sns.countplot(x='room_type_reserved', data = df)
     st.pyplot(fig)    
 
     # Barplot lead time 
@@ -69,10 +67,9 @@ def run():
     labels =[1,2,3,4,5,6]
     df['binned_lead_time'] = pd.cut(df['lead_time'], bins,labels=labels).astype(int)
     fig=plt.figure(figsize=(15,5))
-    sns.barplot(x=df['binned_lead_time'].value_counts().index, y=df['binned_lead_time'].value_counts())
+    sns.countplot(x='binned_lead_time', data = df)
     st.pyplot(fig)
 
-
     
 
 if __name__ == '__main__':