As travel slowly picks up again after several months of hiatus, people are starting to book hotels for their much-needed vacation. And what better way to understand the best hotel booking data than using Kaggle? Kaggle is an online community of data scientists and machine learning practitioners where they can find datasets, create and share different projects linked to data analysis and machine learning, compete and learn about new tools, techniques, and models. In this article, we will explore the best hotel booking data on Kaggle and find insights that can help travelers.
The hotel industry is a massive business that caters to people’s needs, including lodging, dining, and entertainment. Data on hotel bookings provides critical insights that can help travelers in making informed decisions about where to stay or how to choose a good hotel. This data can also help hoteliers better understand bookings and improve their services.
So, what do we learn from the data on hotel booking on Kaggle?
1. The Best Time to Book a Hotel
The first insight from the hotel booking data on Kaggle is identifying the best time to book a hotel. According to a study, booking a hotel room at least 30 days ahead of time offers the best value and rates. This study was conducted in New York City, but it remains a useful guide regardless of location.
2. The Best Month to Book a Hotel
The data on hotel bookings on Kaggle also confirms that it is cheaper to book a hotel in low season. Avoiding peak season, such as holidays or summer vacations, saves travelers money. For example, in the United States, hotel rates are typically lower in February, April, and May.
3. Travelers Prefer Online Bookings
Online booking is now the preferred method of booking a hotel for many travelers. According to a survey by Statista in 2020, 53% of people prefer to book hotels through online booking sites. This trend is set to continue as many hotels adopt online booking systems.
4. Room Preferences
The hotel booking data on Kaggle shows that room preferences vary depending on the traveler’s needs: single travelers are most interested in comfort and style, families prioritize safety and security, while business travelers favor services like Wi-Fi, parking, and business centers. Knowing the preferences of your target audience is vital for hoteliers to provide suitable services for their guests.
5. Cancellation Policy
Finally, the data on hotel bookings shows guests’ attitudes toward cancellation policies. Guests are more likely to book where there are flexible cancellation policies, and these policies can help hotels increase their bookings and revenue.
In conclusion, the hotel booking data on Kaggle offers valuable insights that can help travelers make informed decisions when booking hotels. These insights are also beneficial for hoteliers who can use the data to improve their services and gain a competitive edge in the market. From the best time and month to book a hotel to room preferences and flexible cancellation policies, knowing these insights can make your next hotel booking more enjoyable and affordable.
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