ardifarizky commited on
Commit
cb6e1e6
1 Parent(s): 426e615

Update eda.py

Browse files
Files changed (1) hide show
  1. eda.py +7 -7
eda.py CHANGED
@@ -113,17 +113,17 @@ def run():
113
 
114
  with col2:
115
 
116
- st.text_area('About Exploratory Data Analysis', '''
117
- - Bookings made well in advance, such as 250 days before the stay, often face cancellations. This suggests the need for flexible cancellation policies.
 
118
 
119
- - Despite "Non Refundable" deposits, a significant number of cancellations occur. Unforeseen events may be causing these cancellations.
120
 
121
- - April and May witness increased hotel bookings. This highlights the potential to optimize pricing and resources during these peak demand periods.
122
 
123
- - The difficulty in identifying strong connections between columns is due to the unequal data distribution between city and resort hotels. Caution is advised when interpreting findings.
124
 
125
- - Online Travel agents are favored for bookings. We can Strengthen partnerships with Online Travel agents, offering them exclusive deals or promotions to encourage more bookings through this channel. Focus marketing efforts on promoting these partnerships to attract a broader customer base. By implementing these solutions, hotels can adapt to changing customer preferences and market dynamics, ultimately enhancing customer satisfaction and revenue generation.
126
-
127
  ''', height = 1000)
128
 
129
  if __name__ == '__main__':
 
113
 
114
  with col2:
115
 
116
+ st.text_area('About Exploratory Data Analysis',
117
+ '''
118
+ - Bookings made well in advance, such as 250 days before the stay, often face cancellations. This suggests the need for flexible cancellation policies.
119
 
120
+ - Despite "Non Refundable" deposits, a significant number of cancellations occur. Unforeseen events may be causing these cancellations.
121
 
122
+ - April and May witness increased hotel bookings. This highlights the potential to optimize pricing and resources during these peak demand periods.
123
 
124
+ - The difficulty in identifying strong connections between columns is due to the unequal data distribution between city and resort hotels. Caution is advised when interpreting findings.
125
 
126
+ - Online Travel agents are favored for bookings. We can Strengthen partnerships with Online Travel agents, offering them exclusive deals or promotions to encourage more bookings through this channel. Focus marketing efforts on promoting these partnerships to attract a broader customer base. By implementing these solutions, hotels can adapt to changing customer preferences and market dynamics, ultimately enhancing customer satisfaction and revenue generation.
 
127
  ''', height = 1000)
128
 
129
  if __name__ == '__main__':