hw03 ready for grading

[abishekarun]

Rendered html file

Readme file hw03 folder

[dorawyy]

Hi Arun,

I really enjoyed reading your homework03. 👍

• You implemented 5 out of 6 items, making both tables and figures.
• You applied numerous methods from libraries not covered in lectures in very advanced ways.
• You wrote your own functions and formatted tables/figures very nicely with different formatting attempt. It is interesting to see different format of tables. 😄
• You listed your observations from each table/figure detailedly, which is inspiring. I feels it worth trying if I got other chances doing so in future homework.

Here are some small suggestions I can think of:

• Make more use of inline code in .MD file, for example, tidyverse, kableExtra; The inline code format enables reader to distinguish programming related terminologies/noun/functions from normal text;

• In the first task

  Get the maximum and minimum of GDP per capita for all continents.

  You can also create one box plot with two variables using geom_col(). Try reformatting your data first with the function melt(), this link might be helpful.

• The pdf link in the very last line of your MD file is not working, maybe here is small typo you can figure out. :) --> already fixed!

Overall, you did an amazing job!

-Yingying

[jardnzm]

Peer Review by Ziming:

Hi Arun,

• Nice and clean ReadMe file firstly. And well organized with each problem and different font. Get a new way to show italic. Already have double*, double_, and yours three ways~

• Clever using geom_col! I used barplot and that is a nightmare...

• For the second task, you did a very thorough analysis including Quantiles Variance and Std, and nice table.

• And I also noticed for some straight-forward figure, you omit the corresponding code which makes page pithy.

• For your fourth one, when calculating life_exp, you used 'weighted.mean', that is good, learned it from you:) Then you take a deep look of Turkey, and you did a good job on finding the possible reasons behind the abnormal phenomenon.

Very well job overall! Best wishes for the rest of your courses, Ziming

[ksedivyhaley]

At least three tasks: Yes (6) A table and figure for each task: Yes (task 2 missing graph, but 5 tasks with graphs is OK) Comments on tables/figures: No Reflections on Process: Yes Bonus (side-by-side layout, table formatting): Yes (attempted layout)

Comments:

• Do not hide your code. Peer reviewers and markers need to see what you are doing. (Looking at the rmd file, I'm guessing this happened because you were trying the two—column layout? I think it only worked in the html.)
• Needs more comments. We need to know why you are doing what you are doing. For example, why are you choosing to find your low life expectancy countries like this: mutate(dev_lifeExp=lifeExp-weighted.mean(lifeExp,pop))?
• For fourth task, you should be able to come up with some way to make a table illustrating change over time other than just a list of means.
• Excellent exploration of the stories of different countries.
• Great use of functions and aes_string()
• To improve, try working on graph formatting.

Your mark will be distributed later. If you would like more feedback, please feel free to message me on slack.