Overall I think it went well. The only place I got stuck at this checkpoint
was with scaling the x and the y coordinates of the points. To be
honest, I'm still not 100% sure how that scale function works, even in
the context of the overall program. Perhaps it has to do with the description
which includes both domain and range, but using a different set of inputs
for x values compared to y values. Overall, I think I had a good idea
of the steps that were required in checkpoint 1, however I did not break
it down into pieces as small as this code ended up doing.
An idea for a similar/extension program, would be a program that
adds a line of best fit and calculates/displays the equation and
correlation coefficient of the regression equation.
Writingthe code for this wasn't terribly difficult once I figured out
what i needed to do. I didn't quite understand the purpose of each
function in the context of the overall program, which made the scale
function difficult to write at first. When I did get stuck I used the
already existing code as well as the examples in the lab to help me
figure out what I needed to write.
I think I would be able to make the axes and the evenly spaced
tick marks. I don't know how to use the x and y values from the
list yet so I don't think I'd be able to make the labels or plot
the points on the scatter plot.