schweercollins/final2018

Repo for my Fall 2018 final project

Hi there 👋

final2018's Issues

Peer review

This data is very tidy and your group have done all the requirements for the final project.
I do not really have anything to add or mention.
Good luck!

@datalorax

Nice work!

You can close this issue. Just wanted to show you that I took a look at your repo. Hopefully this will all become clearer as we go along. I gave you credit for the lab.

Comments in pull request/fork (:

I left all of my comments in a pull request/fork (within the rmd), so please let me know if you can't read them or are unable to access them! Thank you!!

ALSO- GREAT JOB :D

Peer Review_Yoel

@datalorax @jpedroza1228 @schweercollins @shainatrevino

Let me start off by saying that this looks like a great job! I feel extremely unqualified to provide feedback, as I feel some of the coding is above my skill level and understanding. I will go ahead and give my review based on the rubric.

Coding Style: Excellent! There was a good number of comments to explain your process.

Coding Strategy: Excellent! You broke down the problems into good sized, manageable chunks. Great job.

Presentation, graphs: Satisfactory. Nice plots which show different aspects of the dataset. While you had labels for the axes, you could add some titles to clarify the nature of the plots and graphs.

Presentation, tables: Satisfactory. The relevant data is displayed, but your comments don’t make it clear to me what exactly is the qualitative difference between each of the tables. You could also edit the variable names to display them more clearly in the table (there is no white space between the variable names, so the text in the whole top line runs together).

Achievement, mastery, cleverness, creativity: Excellent! I noticed you used some packages that I don’t think we’ve discussed (for instance, “naniar”) which is really going above and beyond.

Ease of access: Excellent! Code ran very easily. You commented out all the install.package functions which was helpful, and noted when things were not necessary to run. Very nice job.

Sorry to say I don’t have an answer to your question about how to get rid of “refused” and “don’t know” from the insurance variable. Perhaps another reviewer will know more.

Great job and good luck with the project!