hw05 is ready for grading

[lucymei]

@vincenzocoia @gvdr @ksedivyhaley @JoeyBernhardt @mynamedaike @pgonzaleze @derekcho The link to hw05 is here. My main homework page is here. Thank you!

[cheungamanda]

Hi Lucy, Excellent work! Here's my review for homework 05:

Coding style: + Clear and organized, easy to follow along! Each step was explained and well formatted throughout!

Coding strategy: + Simple and efficient, logical flow of code, complex code is broken down, great use of piping! If you load the forcats package, you can just write the function fct_reorder() as opposed to forcats::fct_reorder()! Your variable names were clear and did not cause confusion.

Presentation - graphs: + Great job exploring the various visualization features! I loved your life expectancy overtime plot, especially with the different colours comparing high and low life expectancy. I definitely didn't know you could do that, so I'll definitely be incorporating this feature into my work!

Presentation - tables: 0 I would use kable() to present the various tables you've shown!

Achievement, mastery, cleverness, creativity: + Excellent application of tools and techniques! Great job experimenting with writing and reading files. I like your approach for writing figures to files. I learned that you could combine plots together, thank you!

Ease of access for instructor, compliance with course conventions for submitted work: + Easy access, code runs!

• Overall excellent work!

• Great job completing the extra task for this assignment!

• Your repo is very well organized! Nice work explaining everything you've done!

• Congratulations on completing the course!!! 👍

Thanks, Amanda

[ksedivyhaley]

Factor management (drop & reorder): Yes File I/O (data): Yes Visualization design: Yes File I/O (write figure): Yes Organized GitHub: OK (see comments) Bonus (more forcats, eg revalue): Attempted Reflection: Yes

Comments:

• For your repo, add “slugs” to the files, eg hw05_FactorsFigures, so you know what is in each assignment (and don't have to scroll down and search through the table of contents)
• Nice table comparing the levels after saving (add kable?)
• I think you want summarize instead of mutate here:

  meanlifeExp <- gapminder %>%
  group_by(year,continent) %>%
  mutate(meanle = mean(lifeExp))

• Good use of dodge positioning, though I don't think it actually makes this graph more informative than the scatter plot.
• Colouring on the life expectancy plot is good, but watch your x-axis labels!
• Good job on the last bar plot.
• For the bonus, check out fct_recode() - mentioned at the bottom of the page of these STAT545 notes - or fct_collapse().
• For fixing the width on your bar plot, this looks useful

Your mark will be distributed later. If you would like more feedback, please feel free to message me on slack.