Great job tackling 3 extra tasks for this assignment.
Your tables and plots were very accessible and easy to understand. Rad violin plot!!
A few suggestions:
Consider using asuppressPackageStartupMessages(library(PACKAGE))` at the top of your markdown to improve readability
You could have included a definition of trimmed mean under Task 3. I still don't know what it is.
From your assignment, I learned the syntax for piping knitr::kable() directly into a data wrangling call. I also learned that Oceania is the most equitable continent when considering only the difference between max and min GDP per capita. Likely due to the small number of countries. Great work!
I learned the usefulness of a few graphs and the vast options for customization.
_ good and informative Readme file.
I liked that you used a lot of different plots.
Comments:
try to suppress the unwanted output of the code chunks.
"Maximum and minimum GDP per capita for all continents" - different graph could display this information better, like a box plot. But again, as an exercise it is a good graph!
when working with big plots, you can save them into the variable and use them later in your work instead of re-writing it every time.
for large table, you can use head() to display only the first rows.
Hi @cheungamanda! I am here for peer review.
A few comments:
A few suggestions:
From your assignment, I learned the syntax for piping
knitr::kable()
directly into a data wrangling call. I also learned that Oceania is the most equitable continent when considering only the difference between max and min GDP per capita. Likely due to the small number of countries. Great work!