The raw_salaries.csv file contains pipe-separated (|) values representing salary data about different industries in the US in 2021 (data from Bureau of Labor Statistics).

The first lines of raw_salaries.csv:

Chief Executives|200480|213020|179520
General and Operations Managers|2984920|115250|97970
Legislators|44590|57110|37270
Advertising and Promotions Managers|22520|142860|127150
Marketing Managers|278690|153440|135030
...

That data is loaded into a field named industries in the bakery_salary.py file as a list of dataclass instances (list[Industry]). The dataclass is named Industry and has four fields; you can see the dataclass by opening the bakery_salary.py file, or its tab in the sandbox (To sandbox). However, you will only need one field: mean_salary, which is an integer representing the average salary of people in the given industry.

Make a histogram of the mean_salary for all of the industries. Make sure you give meaningful labels to the axes and a title. Call plt.show() to display the histogram.

You may notice that the x-values are so big, they spill into each other. If you would like, you may divide each salary by 1000 to make the X-axis easier to read.

HINT: Do not overthink this problem! You are not creating a function, you are just mapping a list of dataclass instances into a list of integers, and plotting them as a histogram.