I’d like to see larger font on all of your labels and titles. And in some cases, the labels are so blurry, I can’t even make out what they say. And, in general, you’ll need more discussion of your charts. I’vealso asked you to include some descriptive statistics and a discussionof each variable you choose. This means I’m looking for you to calculate some means and standard deviations, etc. and discuss what they mean in for people living in the mountain region of the US.Graph 1/2 I like them, mostly. I would recommend swapping the x- and y-axes. We typically put the independent variable on the x-axis and the dependent variable on the y-axis. Since the total household income depends on the combo of individual incomes of the household, it makes more sense the other way. I would also recommend pre-filtering out peo
ple under 16 (or even 18). In the US, the legal working age is 16. I’d be curious how this affects your N/A or No Schooling and Less than HS Diploma graphs. Right now it looks like there are a great many people in these groups with no individual income, but high household income. That’s not really what I’d expect since jobs at this education level don’t pay well, so I’d expect most individuals to be working. I’d also recommend forcing the axes to have the same scale (since they’re measuring the same thing). You’ll need some more interpretation. Why is there a hard line at the boundary? Discuss that so many of the blue points are lower. Discuss why it would be that household income would be so much different than individual income, and what trends do you see between education levels and sex.