Homework 03 is ready for grading

[xinmiaow]

SHA: af5ac9c

Links to my files related to HW03:

• The main repo for homework: here

• hw03 folder: here.

• Files inside hw03:

  1. README.md

  2. hw03_Gapminder.Rmd

  3. hw03_Gapminder.md

[ghost]

Hello @xinmiaow ,

This my peer review for your Hw03. Your repository is super organized, I like that! It's really easy to navigate in, and provides all the helpful links for the corresponding files and folders per assignment. The Induction section in the assignment is awesome, good job on detailing all your work process! Now, let's proceed to your task list:

1. Get the maximum and minimum of GDP per capita for all continents. We followed a similar process in terms of the data extraction, and the table display with knitr::kable(). The use of ggplot2() is adequate. I would have included a time series by continent in order to check the evolution of the gap (whether it gets wider or narrower over time).

2. Look at the spread of GDP per capita within the continents. Good use of the density plot, and the proper use of spread metrics. The side-by-side boxplots are really good idea in this task, but they could be expanded to a time series as well.

3. Compute a trimmed mean of life expectancy for different years. Or a weighted mean, weighting by population Thanks for showing me how to compute this other metrics, because I didn't do this task. You could have included some further explanations about the plots here.

4. How is life expectancy changing over time on different continents? Good idea on getting the difference of life expectancy between each contiguous years per continent. The use of ggplot2() is really good, along with a smoothing method.

Cheers,

Alexi

[Mathnstein]

Hi @xinmiaow,

You have a wonderful directory and even have the assignment inside of your Readme. It is super easy to find everything and you do put all the necessary links in the assignment. I had a fun time seeing all the styles you used and may start doing something similar!

I'm having trouble being picky on your assignment so instead I'll just complement the use of a colored dot plot for the visualization of spread. It was fun to look at and although not a lot can be extracted from the picture (log transformations were a thing I used to pull more information out), it still was cool!

Cheers, Cody

[pgonzaleze]

Hi @xinmiaow here some comments about your assignment, At least three tasks: Yes
A table and figure for each task: Yes
Comments on tables/figures: Yes Reflections on Process: Yes Bonus (side-by-side layout, new table packages): Yes-ish (side-by-side layout)

• Well organized, very neat,
• I liked the explanation in a “step by step” way of what you were planning to do,
• I liked your coding it is well organized (e.g. indentation), this helps the readers if they have any doubt!
• I the usage/integration of learned tools,
• I would say that the selection of plots are good, the selection of the “correct” is upon your question, you did a good job!
• 2 Little extra comment, be careful when using alpha, the colors could change if they overlap!
• The task of finding countries with interesting stories was partially accomplished, but the aim was to compare two countries and find some trends, e.g. two countries in a war conflict,

Your marks will be distributed later, Regards,

Pedro G