Pandas Boolean Reductions Data Analysis

# Introduction Welcome to this Pandas programming challenge. In this challenge, you'll utilize the power of Pandas boolean reductions to analyze complex datasets and solve real-world problems. Boolean reductions can be used to filter, summarize and understand complex data in a simple yet effective manner. We have prepared a `DataFrame` for you in `create_dataframe.py`, it has five columns of data:`Age`, `Income`, `Profession`, `City`, `Has_Car`. You can use this `DataFrame` to test if what you have written is correct. Let's get started!

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