| Hotel_Long {RMM} | R Documentation |
Data from a Major Hotel Chain
Description
'Hotel_Long', a 'Long format', is a preprocessing data of the publicly available 'Hotel 1' data introduced in Bodea et al. (2009).
Usage
Hotel_Long
Format
'Hotel_Long': A data frame with 8,318 rows and 11 variables:
- Booking_ID
ID associated with a booking. Begins at one for each hotel property.
- Purchase
Indicator variable equal to one if the product identified by product ID is purchased, zero otherwise.
- Room_Type
Code describing the room type associated with the product ID.
- Price
The average nightly rate the customer pays in USD (e.g., $199.99). Note that the average nightly rate will not match the rate of any available product rates if an upsell occurs at time of check-in, if the customer requests a specific discount rate at time of check-in, etc.
- Party_Size
Number of adults and children associated with the booking.
- Membership_Status
Status in rewards program (0—not a member, 1—basic, 2—elevated, 3—premium).
- VIP_Membership_Status
Membership status of a VIP rewards program member (0—not a VIP, 1—basic VIP, 2—premium VIP member).
- Booking_Date
Date the booking was created (e.g., 20070303 = March 3, 2007).
- Check_In_Date
Check-in date (e.g., 20070307 = March 7, 2007).
- Check_Out_Date
Check-out date (e.g., 20070310 = March 10, 2007).
- Length_of_Stay
Length of stay/number of nights (e.g., three).
Details
'Hotel 1' data contains information on the available alternatives, i.e.,
choice sets and the associated prices at the time of each customer’s booking decision.
We preprocessed 'Hotel 1' data and provide it in two types of
data format, 'Hotel_Long' and 'Hotel_Wide'.
The following are the preprocessing of 'Hotel 1' data.
1. Customers' booking transactions that had only one room type available in their choice set were removed as our methods require at least two different products in each choice set.
2. Duplicate records was removed.
3. Choice sets with less than 30 observations, representing rare case were removed.