vanflad / STAT547-hw-fladmark-vanessa

0 stars 0 forks source link

hw03 ready for grading! #3

Open vanflad opened 7 years ago

teilhard1976 commented 7 years ago

It was very easy for me to navigate this student's repo. Her folders are organized. She answered three of the six questions. It might be useful for me, the reviewer, to read her reflection in the actual R markdown file itself. It would be easier for me to connect the resources she tapped and challenges she confronted vis-a-vis her solutions to the questions posed. But these are minor quibbles. She has covered all the required tasks for this homework, and she has done these successfully.

emilymistick commented 7 years ago

@vanflad,

Thanks for sharing your homework. You README page in the main directory is a fun introduction and well organized with links. Within the homework3 folder you are also perfectly clear and concise. Thanks for the user friendly experience. Your troubleshooting section was an honest reflection and links section was a good attribution of sources. Good work.

For the assignment, you completed 3 tasks all of which are completed well and organized. Some comments: Task 1: Your use of dplyr is spot on and table is pretty. But I'm not sure about the visualization. It's cool that you have max and min on the same plot but to me the relationship shown between max and min is not especially informative. In my experience this is not a common way to express data spread. Perhaps try a bar plot?

Task 2: Nice! Box plots are a great way to visualize spread within variables and you have done so for each continent with them labeled. The summary table is clear also. I liked reading about how you removed the outliers! I've never done that before, and might be useful to know in the future. "outlier.shape = NA" Noted.

Task 3: This is a nice summary of the number of countries per continent with life expectancy less than 40 over time. Both the table and plot display are clear and informative. It is stark how few there are from the Americas. In my own homework, I have done stacked bar charts but I hadn't yet figured out how to make a bar chart with different variables adjacent to each other for each x-axis category as you have done here. So I did some googling to figure out the details of the code here. Looks like position="dodge" puts the variables next to each other rather than stacked. And you put stat="identity" because the data being plotted is a column in the dataset (rather than count data). I will try this next time I'm making a bar plot! Thanks.

Hope this was helpful. Your assignment was well done. Emily