HW #04 Ready for grading!

[rishadhabib]

Hi Nathan

I had a good time looking through your assignment. It was well organized and you completed everything well. Just a few of my thoughts:

• I didn't know about using the scale_colour_discrete function to take out the title of the legend. This will likely be quite useful in the future
• I learnt a lot about sharks, didn't know many of the species names
• For part 1 of the assignment you could use country %in% c("Chile", "Argentina") instead of the longer code chuck using == and |
• You could also include a link to your file/folder in the issue just so it's easier to navigate.
• I always use include = FALSE to hide my library code chunk. I use output: github_document instead of html_document though so that might be the difference. You could try changing the YAML and see if that helps.

Overall, I really liked your work!

[winniewytse]

Hi @nbendriem, your hw04 is well completed and great job! Here are the things I like about it.

• Your coding style is clear and neat. Your choice of functions to organize data, make tibble, and generate graph is accurate. Good job on changing the legend and colour of the scatterplot. That makes the graph pretty and reader-friendly :)
• Shark spices in the Pacific Ocean are some fun things to have in the datasets. I enjoy reading this activity and knowing some more about different kinds of shark.
• Great exploration of all possible types of joining, including binding. I like the way you compare left_join() with right_join(), full_join() with inner_join(), and semi_join() and anti_join(). You make clear about their specific way of joining dataset and in what scenario each join should be used.

Recommendation:

• I would like to know the comparison between some similar joins other than the ones you compared, for instance, the difference between left_join() and inner_join(). Making a direct comparison will be the best.

In general, you did a great job in hw04 :)

[derekcho]

Hi @nbendriem, here are some comments about your hw04:

• Try to get rid of those ugly startup messages! Use suppressStartupMessages(library(tidyverse)) or the arguments warning=FALSE, message=FALSE in the Rmarkdown header
• For your first filter statement to select certain countries, it is simpler and more readble to use this: o filter(country %in% c(“Chile”,”South Africa, …. , “New Zealand”)
• Task 1 was well done, code was readable and table was created correctly. Plot looks good as well! Specifying each individual column name is unnecessary (the only one that changes is “year” to “Year”, but you can just change the variable name to “Year” to accomplish the same if you really wanted).
• For task 2, excellent explanations of how each of the joins work. See the first comment about removing warnings though.
• Solid work overall!!
• Your repo is generally well organized and easy to navigate. I would suggest leaving your README from hw1 in the main directory though so it acts as a landing page for visitors to your repo!

Your grade will be emailed to you at a later date.