Stacking regional listings

You are a data analyst at an accommodation booking company. Your team received the listings data split across several files by region: coastal properties, inland properties, and island getaways. Before running any analysis, you need to combine these segmented DataFrames into one.

polars is loaded as pl. The DataFrames coastal, inland, and islands are available with matching columns describing each property.

This exercise is part of the course

Data Transformation with Polars

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Exercise instructions

Combine coastal, inland, and islands into a single DataFrame called hotels by stacking the rows.
Print the first 10 rows to verify the result.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Combine the regional DataFrames vertically
hotels = pl.____([coastal, inland, islands], how="____")

# Print the first 10 rows
print(hotels.____(____))

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