Let us return to the salary data we saw a few problems ago. Previously, we looked at the distribution of the mean_salary data. Now we will compare that data with the median_salary data and then the members data to see if there are any correlations. Create two visualizations:

1. The first should show the relationship between mean_salary (x-axis) and median_salary (y-axis)
2. The second should show the relationship between mean_salary (x-axis) and members (y-axis)

Make sure you give meaningful labels to the axes and a title. Call plt.show() after each plot to display it before starting the next one.

The files bakery_salary.py and raw_salaries.csv are also tabs in the sandbox (To sandbox).

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
...