ghost
commented
7 years ago Hi Alistair,
Great job on your assignment!
You completed 5 of the listed tasks, which is really great! Your results were very interesting, and I enjoyed looking at your plots. I feel like I learned a lot from them, both in terms of R programming but also in terms of the "big-picture" questions.
Your process is well-documented in your README file, and it seems that all the links provided work properly.
When it comes to the tables, it would be nice to try to get kable() to work for future assignments, but I understand that you documented your attempts with this and had some technical issues. Also, this wasn't the main purpose of the assignment anyhow, so that's OK.
You went above and beyond in terms of doing your research and understanding why the data are showing what they're showing (for instance, with understanding the sharp life expectancy drop in Zimbabwe). There were also some really cool plots that you made, and I also liked your way of getting the tables to only output every 15th observation.
Overall, great job, and I learned a lot from your work!
Cheers, Sonja
derekcho
Hi @arsbar24 ,
Good job maintaining an easy to follow order in your exploration. Your README file provided detailed insights on the difficulties encountered with each task and made your thoughts and goal for the assignment very tractable.
Your code structure was good. You made extensive use of the dplyr and ggplot packages as required by the assignment. Your investigation into each variable with the aid of graphs and tables made your conclusions easy to asses and verify. One thing I would like to mention is adding comments to complex function calls. I noticed you used "filter(year%%15 < 5)". Whilst your objective with this function call was made clear, I did not understand how it worked. Clarification on the numbers fed in and the operators used might make it easier for me to verify and replicate your logic.
I enjoyed the variation in the graphs you produced. One thing you could do to improve your box plots would be to colour your outliers, using the outlier.colour argument in your box plot function call. This could help you get your point across further. On a final note with regards to your coding style would be to 'layer' your ggplot commands (one below the other). I was told by a TA that this makes it easier to read and therefore mark.
I really enjoyed your section on Zimbabwe. Not only did you do a fantastic job of explaining the puzzle you were trying to resolve, you made it easy for me, as the reader, to visualize your thoughts whilst also providing me with the logic behind your choice to investigate Zimbabwe.
Overall I think you did a good job and I look forward to having an opportunity to review your work again.
Regards