Code Challenge: Hotel Booking Demand

Python is a popular language used by data scientists to carry out data science tasks such as the analysis and reporting of data including data visualizations. At CoderPad, we are excited to announce the integration of Jupyter notebooks to elevate data science interviews that replicate everyday work.

For this code challenge, you have been provided with the Hotel Booking Demand dataset which provides valuable insights into customer booking behavior, preferences and trends in the hospitality industry. This two part challenge aims to test your understanding of how you can interact with data and explore it to unveil important hidden information as well as craft visualizations that spotlight various aspects of the dataset.

Part one: Interacting with the dataset

Code challenge solution

Verify your solution with the official solution in this sandbox.

Part two: Crafting visualizations

Code challenge solution

Verify your solution with the official solution in this sandbox.

More resources

We have made available these extra resources to improve your Python coding skills:

• 25+ interview questions for Python

Want to conduct interviews on this platform?

Check out CoderPad : pick any interview question or create your own, then invite your candidate to a shared live-coding session on an IDE like this one. You even get 2 free interviews per month forever using this registration link!