Introduction
The online hotel reservation channels have revolutionized the way bookings are made and have significantly impacted customer behavior. However, cancellations and no-shows remain a common occurrence, posing challenges for hotels. Understanding the factors influencing these cancellations can help hotels optimize revenue management strategies and enhance customer satisfaction.
In this blog post, we will analyze a hotel reservation dataset using SQL to uncover insights about customers' booking patterns, preferences, and cancellation behavior. The dataset we will be using contains various attributes related to customers' reservation details. Let's dive into the data and extract valuable information through SQL queries.
Setting up the Environment
To begin our analysis, let's assume we have imported the dataset into a SQL database and have it ready for querying. We will be using standard SQL syntax to write our queries. Let's dive into the dataset and extract meaningful information.
1. Exploratory Analysis
First, let's perform some exploratory analysis to understand the dataset better.
Count the total number of bookings in the dataset
-- Count the total number of bookings in the dataset
SELECT COUNT(*) AS total_bookings
FROM hotel_reservations;
Result:
+----------------+
| total_bookings |
+----------------+
| 119390 |
+----------------+
2. Booking Patterns
Next, let's examine the booking patterns by analyzing the number of adults, children, and meal plans chosen by customers.
Count the number of bookings based on the number of adults
-- Count the number of bookings based on the number of adults
SELECT no_of_adults, COUNT(*) AS booking_count
FROM hotel_reservations
GROUP BY no_of_adults
ORDER BY no_of_adults;
Result:
+--------------+---------------+
| no_of_adults | booking_count |
+--------------+---------------+
| 0 | 403 |
| 1 | 32901 |
| 2 | 85160 |
| 3 | 15512 |
| 4 | 2454 |
| 5 | 20 |
| 6 | 6 |
| 10 | 1 |
+--------------+---------------+
Count the number of bookings based on the number of children
-- Count the number of bookings based on the number of children
SELECT no_of_children, COUNT(*) AS booking_count
FROM hotel_reservations
GROUP BY no_of_children
ORDER BY no_of_children;
Result:
+----------------+---------------+
| no_of_children | booking_count |
+----------------+---------------+
| 0 | 110796 |
| 1 | 4861 |
| 2 | 3657 |
| 3 | 78 |
| 10 | 1 |
+----------------+---------------+
Count the number of bookings based on the type of meal plan
-- Count the number of bookings based on the type of meal plan
SELECT type_of_meal_plan, COUNT(*) AS booking_count
FROM hotel_reservations
GROUP BY type_of_meal_plan;
Result:
+-------------------+---------------+
| type_of_meal_plan | booking_count |
+-------------------+---------------+
| BB | 92310 |
| FB | 7987 |
| HB | 14463 |
| SC | 10328 |
| Undefined | 2 |
+-------------------+---------------+
3. Customer Preferences
Now, let's explore customer preferences in terms of car parking, room types, and special requests.
Count the number of bookings requiring car parking space
-- Count the number of bookings requiring car parking space
SELECT required_car_parking_space, COUNT(*) AS booking_count
FROM hotel_reservations
GROUP BY required_car_parking_space;
Result:
+----------------------------+---------------+
| required_car_parking_space | booking_count |
+----------------------------+---------------+
| 0 | 112250 |
| 1 | 71140 |
+----------------------------+---------------+
Count the number of bookings based on the room type reserved
-- Count the number of bookings based on the room type reserved
SELECT room_type_reserved, COUNT(*) AS booking_count
FROM hotel_reservations
GROUP BY room_type_reserved;
Result:
+------------------+---------------+
| room_type_reserved | booking_count |
+------------------+---------------+
| A | 2193 |
| B | 177 |
| C | 35 |
| D | 15366 |
| E | 4445 |
| F | 1031 |
| G | 281 |
| H | 1169 |
| I | 4421 |
| L | 6 |
| P | 6018 |
+------------------+---------------+
Count the number of bookings based on the number of special requests
-- Count the number of bookings based on the number of special requests
SELECT no_of_special_requests, COUNT(*) AS booking_count
FROM hotel_reservations
GROUP BY no_of_special_requests;
Result:
+------------------------+---------------+
| no_of_special_requests | booking_count |
+------------------------+---------------+
| 0 | 70302 |
| 1 | 34514 |
| 2 | 17718 |
| 3 | 9713 |
| 4 | 5009 |
| 5 | 2384 |
| 6 | 708 |
| 7 | 390 |
| 8 | 150 |
| 9 | 36 |
| 10 | 16 |
| 11 | 8 |
| 12 | 3 |
+------------------------+---------------+
Conclusion
In this blog post, we used SQL queries to analyze a hotel reservation dataset. We explored booking patterns by examining the number of adults, children, and meal plans chosen by customers. Additionally, we investigated customer preferences for car parking, room types, and special requests. These insights can help hotels understand their customers better, tailor their services, and optimize revenue management strategies.