We extracted the data for this project from this Kaggle URL
The file contains the different attributes of customers' reservation details. The detailed data dictionary is given below.
| Feature | Description |
|---|---|
| Booking_ID | unique identifier of each booking |
| no_of_adults | Number of adults |
| no_of_children | Number of Children |
| no_of_weekend_nights | Number of weekend nights (Saturday or Sunday) the guest stayed or booked to stay at the hotel |
| no_of_week_nights | Number of week nights (Monday to Friday) the guest stayed or booked to stay at the hotel |
| type_of_meal_plan | Type of meal plan booked by the customer |
| required_car_parking_space | Does the customer require a car parking space? (0 - No, 1- Yes) |
| room_type_reserved | Type of room reserved by the customer. The values are ciphered (encoded) by INN Hotels. |
| lead_time | Number of days between the date of booking and the arrival date |
| arrival_year | Year of arrival date |
| arrival_month | Month of arrival date |
| arrival_date | Date of the month |
| market_segment_type | Market segment designation. |
| repeated_guest | Is the customer a repeated guest? (0 - No, 1- Yes) |
| no_of_previous_cancellations | Number of previous bookings that were canceled by the customer prior to the current booking |
| no_of_previous_bookings_not_canceled | Number of previous bookings not canceled by the customer prior to the current booking |
| avg_price_per_room | Average price per day of the reservation; prices of the rooms are dynamic. (in euros) |
| no_of_special_requests | Total number of special requests made by the customer (e.g. high floor, view from the room, etc) |
| booking_status | Flag indicating if the booking was canceled or not. |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent