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
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create salary labels
salary_labels = ____