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Categorizing salaries

Now it's time to make a new category! You'll use the variables twenty_fifth, salaries_median, and seventy_fifth, that you created in the previous exercise, to split salaries into different labels.

The result will be a new column called "salary_level", which you'll incorporate into a visualization to analyze survey respondents' salary and at companies of different sizes.

pandas has been imported as pd, matplotlib.pyplot as plt, seaborn as sns, and the salaries dataset as a pandas DataFrame called salaries.

This exercise is part of the course

Exploratory Data Analysis in Python

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Hands-on interactive exercise

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

# Create salary labels
salary_labels = ____
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