hw05 ready for grading

[hannahdxz]

738c553 https://github.com/hannahdxz/STAT545-hw-Dong-Xinzhe/blob/master/hw05/hw05.md

[gbraich]

Hello,

Nicely organized README, it was easy to the find the md file.

Factor management This part of the assignment was done well and way easy to follow. Oceania was dropped, and Gapminder country levels were reordered by min. life expectancy. You were able to show that arrange has no effect on plotting unordered data. It wasn't clear what was attempted by using arrange and factor reordering, the aim would have been to arrange in a way that would be different from the reordered plot (descending minimum life expectancy instead of ascending). More commentary here would have been helpful.

File I/O Saving using csv and rds were performed and the differences between the two in terms of data import and factor levels were explained well.

Visualization design An old plot was made to look much better using facet wrap, colour brewer and themes. Great job on going above and beyond and using the multi-plot function. Very useful for juxtaposing and I hope to incorporate it in the future!

Writing Figures to File Using a raster and a vector format would have been good. I see different width and heights were used, playing around with resolution and scale would have also been good. Well done on embedding the image. Using explicit provision of the plot object was explained but not demonstrated.

But I want to do more Great job on using filter, mutate and factor recode to add a new column to your data frame which included popular sports of three countries. Use of the select function would have been helpful here to get rid of extra columns.

Clean up your repo Great job on revamping your top-level README with links to all the submissions, informative titles on the homework and information on the different assignments. I did notice that homework assignments 1-4 were not rerendered.

Overall Great job! The assignment was very easy to follow and looked excellent. Using knit::kable was nice for table viewing!

[rainerlempert]

Hiya,

Nice job on the assignment! Your repo is divine - oh so organized. And beautiful! I could find everything with ease. Your markdown file is also beautiful! I love the attention to detail you place on everything. Other than that, here are a couple comments on your actual assignment:

Factor management

• Nice job dropping the factors. Sweet work.
• Good find of fct_count! I will use that - way easier than what I did.
• Your exploration of arrange vs reordering factors was informative and easy for me to follow

File I/O

• When I used read and write csvall of my factors were converted into characters, which was annoying. Did this not happen for you? I wasn't sure if you checked to see the object type before and after you imported and exported
• Save and Read RDS did a better job preserving my object types as wells.

Visualization design

• Your new graph is way prettier and easy to read, but it doesn't actually communicate any more information than your previous graph. I guess with a density plot it's hard to add new levels of understanding but changes colors or sizes of things...

Writing figures to file

• Good work.

But I want to do more!

• Nice analysis! fct_recode() seems super useful - I'll probably try to use at some point :).

Again, nice work. Way to cap off your time in 545! Rainer

[derekcho]

Hi @hannahdxz! Here are some comments about your hw05:

• Your first task was well done! You were able to successfully use droplevels() to drop Oceania as a factor and you demonstrated this in a clear manner
• You also did a good job of showing how arrange and arrange combined with factor reordering affects the data and the plots.
• The File I/O section of the assignment was well done and clearly shows the differences between read/write_csv and save/readRDS
• Your new plot included facets, a new theme and use of a color palette from RColorBrewer
• Good job overall. Your report was well organized and hit all of the required elements. In addition, you completed the extra task as well and this was also done well. Your repo is clean and easy to navigate. Good work in STAT 545A!

Note: your mark (check minus, check, check plus) will be distributed later.