HW02 Ready for Grading

[xinmiaow]

@vincenzocoia @gvdr @ksedivyhaley @joeybernhardt @mynamedaike @pgonzaleze @derekcho

SHA: c46f79a

Links to my files related to HW02:

• The main repo for homework: here

• hw02 folder: here.

• Files inside hw02:

  1. README.md

  2. hw02_Gapminder.Rmd

  3. hw02_Gapminder.md

[marbazua]

Hi,

Your repo is very organized and I could easily find everything. I liked the table with the assignment checklist that you have on your main README file.

I think that you did a good job exploring the gapminder data. You included different types of plots and used the filter and select. You have also done the additional part, used knitr::kable(), and went even further by using other functions such as group_by or mutate.

Best,

Mar

[jmurthy12]

Hi Xinmiao,

Your assignment is well organised! I would give it a check plus.

README: I appreciated the README file that made navigation really easy. I especially liked the To-Dos Checklist made by you!

Smell test: I especially liked that your usage of rbind to get type for all gapminder variables in one line of code. That was brilliant. Also, the code changes are easy to understand as you have provided explanation against each code change.

Explore Individual variables: I enjoyed reviewing this colourful section .You have thoroughly explored the gapminder variables by using Barplot and Histogram to represent the data. I think it is very apt that you’ve used summary () with the Quantitative variable as it provides information of mean, median etc... Plots: Wonderful use of functions and plots. I think this was really well done and the code was good. Again, I appreciate the explanations for every plot graph. You have also incorporated various types of plots including histogram, scatter, density plots, etc...I learnt a lot on dplyr functions after reviewing your work.

Extra Question: I see that you’ve answered the extra question aswell. And also, have used knitr::kable() to present numerical fancy tables in a more attractive form.

Other things: You have provided links to references used and also your progress report .Both these sections were informative. :+1:

Thanks, Janani.

[pgonzaleze]

Hi @xinmiaow, here are some comments about your homework:

Smell test of data: Yes Explores at least one categorical/quantitative variable: Yes Uses various ggplot types: Yes Uses filter(), select(), and %>%: Yes Extras : Yes Reflection on process: Yes

• Extremely well organised, well done!
• Good that you gave details to your answers!
• You explored more features in several functions!
• You gave good explanations when exploring the data!
• Extra minimum detail: when using alpha double check that colours do not change if overlap.
• Flawless work.

Regards