In this project, I created a data analyst portfolio using a real-world dataset from Kaggle. I aimed to grasp the concepts of Python libraries for data analysis and visualization by performing the following tasks:
I have learned and applied the following skills and tools using Kaggle datasets:
- Pandas: For data manipulation and analysis.
- Numpy: For numerical computations.
- Matplotlib: For data visualization.
- Seaborn: For statistical data visualization.
- Plotly: For interactive data visualization.
- Understanding data
- Preparing data for analysis
- Where do guests come from
- Room price analysis
- Room price analysis across room type
- How long do guests stay
- Booking by market segment
- Booking cancellation
The dataset used in this project is sourced from Kaggle and can be accessed Dataset.
This project involves a thorough analysis of hotel booking data to uncover insights about guest demographics, booking behaviors, and pricing strategies. The analyses include examining where guests come from, analyzing room prices, understanding the duration of guest stays, and exploring booking trends by market segment and cancellation rates.