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  3. Exploratory Data Analysis in Python

Exercise

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.

Instructions 1/4

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  • Create salary_labels, a list containing "entry", "mid", "senior", and "exec".