Comments (2)
Hi @aleurcelay ,
- It is unclear which task are you tackling:
- Task Option 1 - " Compute some measure of worldwide life expectancy β you decide β a mean or median or some other quantile or perhaps your current age. Then determine how many countries on each continent have a life expectancy less than this benchmark, for each year."
I believe I was doing that for section 1 of my assignment.
-
Task Option 5 - "How is life expectancy changing over time on different continents?"
I did this part in section 2. -
Task Option 4 - "Compute a trimmed mean of life expectancy for different years. Or a weighted mean, weighting by population. Just try something other than the plain vanilla mean."
which is done in section 4.
The vanilla mean and the weighted mean difference is not significant, hence why it is not quite distinguishable in the graph. You can see this in the numerical table too.
I just think that the marking grading was a bit harsh, I believe I did follow the instructions, except the missing tibbles.
from stat545-hw-hanrach.
Hello @hanrach,
Yes, I could see those were the tasks you worked on. What I meant is that you didn't explicitly say so in your assignment. This is part of the Mechanics section of the rubric.
RE: vanilla vs weighted mean, I pointed out this issue because they aren't distinguishable in the vis (because of plotting choices, not the values themselves), this was only considered for the vis grading.
RE: following instructions, I pointed this out because you are missing the GitHub Pages part of the assignment (worth 6%) and the assignment explicitly asked for:
Pick three of the six tasks below, and produce:
- a tibble, using dplyr as your data manipulation tool;
- an accompanying plot of data from the tibble, using ggplot2 as your visualization tool; and
- some dialogue about what your tables/figures show (doesnβt have to be much)
And you're missing one of the tibbles
I hope this clarifies the feedback given. Let me know if that wasn't sufficient.
from stat545-hw-hanrach.
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