Open zxkathy opened 7 years ago
Hi Kathy!
Your report for this homework looks pretty good where you follow the structure of the outline quite well. A few things I wanted to comment on: For your quantitative variable: pop, the standard deviation is not a very good measure of spread as it is so large! Where you use the +/- 1 sd as your rule for typical values, It would make more sense to use the IQR here! [Q1,Q3] would be a good range for typical values instead (containing 50% of the data!). For your quantitative variable: year, you were definitely right in thinking it is uniform. By that alone, you know what it's theoretical standard deviation is (turns out its smaller than the one reported because we are approximating a point mass distribution continuously). Your plots are absolutely fantastic! I really enjoyed seeing them! Your reflection is great and its clear you learned something from this assignment.
Great job! Cody
Hi Kathy,
I really enjoyed reviewing your assignment. First of all, I enjoyed how well organized it was (headers, bullet points etc.). More importantly I think you did a great job on the plots. I especially liked the density plot and the comparison of American vs Canadian GDP per capita. I'm looking forward to using those options myself in the future.
As far as I could tell all of your answers to the early portion of the questions were correct so well done there.
As a sidenote, I encountered the same error that you spoke of in your reflection, and for the same reason (using the piping syntax in ggplot where it was not appropriate). For someone who is not used to coding it is a bit overwhelming how important minor errors like that can be to running code.
Best of luck in the rest of the course!
Seth
@pgonzaleze
(Hi Kathy, one of the TA's is having trouble trying to find your work so I'm just mentioning him here) :)
@swynes Thanks. I just resent the invitation to @pgonzaleze.
Hi @zxkathy, information regarding to your homework: Smell test of data: Yes Explores at least one categorical/quantitative variable: Yes Uses various ggplot types: Yes (lots of figures) Uses filter(), select(), and %>%: Yes Extras : Yes (ggplot) Reflection on process: Yes ( nice report)
Here are some comments:
@vincenzocoia @gvdr @ksedivyhaley @joeybernhardt @mynamedaike @pgonzaleze @derekcho
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