Problem 4: Bin a Continuous Feature into Categories

Problem Description

Write a Python program that converts a continuous "age" column into categorical age groups ("18-25", "26-35", "36-50", "51+") using pd.cut().

Input

A DataFrame with an "age" column.

Output

The DataFrame with a new "age_group" column.

Constraints

• Ages should span a reasonable adult range.

Example Input

text
{"age": [22, 30, 45, 60]}

Example Output

text
   age age_group
0   22     18-25
1   30     26-35
2   45     36-50
3   60       51+

Concepts Covered

pd.cut(), bin edges, labels.