Exploratory Data Analysis on Hotel Booking Demand 🏨
Project Summary:
1) Data Preparation
2) Data Cleaning
3) Data Visualization
4) Exploratory Data Analysis
This project aims to explore the following questions:
✈️ 1) Where do the guests come from?
💰 2) How much do guests pay for a room per night?
📈 3) How does the price per night vary over the year?
😮‍💨 4) Which are the busiest month?
📊 5) Bookings by market segment.
❌ 6) How many bookings were canceled?
💸 7) Which month has the highest number of cancelations?
🔁 8) Repeated guest effect on cancellations.
🌃 9) The number of nights spent at hotels.
🏝 10) Hotel type with more time spent.
💵 11) Effects of deposit on cancellations by segments.
⏳ 12) Relationship of lead time with cancellation.
🗂 13) Monthly customers and cancellations.
Python Code (using Numpy, Pandas, Seaborn, Matplotlib)