How do I use the scatter3() function in MATLAB to plot yards gained vs yards allowed for all 32 teams in the NFL? How do I set the markers to show each individual team's logo? If my

x = offensive yards gained = [data for each team]

and

y = defensive yards allowed = [data for each team]

and

s = win percentage = [data for each team]

How would I set this up?

I understand that I can use scatter(x,y,s), but someone at Chegg told me that I should use scatter3()? My original question and the answer provided are shown below:

"Hello, I am trying the make a scatter plot in MATLAB that represents all 32 NFL teams comparing total yards gained vs total yards allowed. I also want the marker size to indicate the win percentage of each team. I was informed that the scatter() function can do that. However, I also need to represent each team with their logo as a custom marker. Is there a way to do this in MATLAB? Thanks!!"

"Yes, you may plot the data using the scatter() function and then add custom markers to the plot using the scatter3() function. You can use an image as the team marker using this function. The scatter3() function can also be used to adjust the marker size to reflect each team's win %. EXPLANATION A potent tool for producing data visualizations in MATLAB is the scatter() function. It enables us to visualize correlations between two variables by allowing us to plot points on a graph. We are attempting to depict the total yards gained and total yards surrendered by each NFL team in this instance. With each team represented by a single point, we can make a scatter plot of all 32 teams using the scatter() function. We can change the markers used for each team using the scatter3() function in MATLAB. Each team can be represented by an image, with the size of each point's marker set to reflect the win percentage of each team. The total yards gained vs total yards allowed for each team, as well as the related win percentages, can now be quickly and readily viewed."

"By combining these two features, we can produce an effective and educational visual depiction of NFL data. We can immediately check the win % of each team as well as find relationships between these two variables. In addition to improving our understanding of the data, this can help us spot patterns and trends that might be important for making judgments. All things considered, MATLAB's scatter() and scatter3() tools are very helpful for producing visual representations of data. They enable the customization of the markers used to represent each team as well as the rapid and simple creation of data visualizations. "

"They enable the customization of the markers used to represent each team as well as the rapid and simple creation of data visualizations. This enables us to view the win % of each team as well as rapidly and simply find correlations between two variables."