Create python scripts and, preferably Jupyter notebooks, for the following:

1. Using the spreadsheet with the 2018 data, create a scatter plot that plots mean family income against the percentage of the population with health insurance. Change the color of the bubbles to green and use the documentation on matplotlib.pyplot.scatter to change the bubbles to stars (5 points).
2. Using the spreadsheet with the consolidated COVID data that you can download from the page A Line Chart in Python in this module, create a line graph that shows the moving average and the number of daily cases for Pasco (5 points).
3. Using the spreadsheet with the consolidated COVID data that you can download from the page A Line Chart in Python, create a visualization that shows the moving average and the number of daily cases for Hillsborough. The moving average should be in a column chart and the number of daily cases should be in a line graph. Make sure you use suitable colors for both (5 points).
4. Using the simplified Car Sales Data, create a (horizontal) bar chart (not a column chart) that shows the total sales and total costs for the Germany, Spain, and Switzerland (10 points).