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.

Deze oefening maakt deel uit van de cursus

Data Transformation with Polars

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Oefeninstructies

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

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

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

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

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