hw05 ready for grading

[ilgan]

@cheungamanda so far it was teh best work that I have seen!

• lots of useful graphs with actually MEANINGFUL information
• good use of pallets and different graph options
• data manipulation on high level
• "I want more" part finished - def a bonus
• Readme file is informative and provides information on your work flow.

Great job!

[emilymistick]

hi @cheungamanda,

Fantastic job on this homework!

For your main README, it might be nice if you gave some more description of each homework as a cheatsheet to yourself later. Once in the hw05 folder, you give a slightly longer description so hopefully that's enough. Your report of process is straightforward and includes some source links, nice.

1. Factor management Good practice loading gapminder with read_tsv. I haven't seen anyone do it that way. Your descriptions of level dropping and reordering are clear and correct, and the use of bar plots to demonstrate is quite effective. Your explanation of arrange() vs factor reordering is very thorough.

2. File i/o Nice demonstration of writing and reading files, and noting which strategies allow you to preserve factors and which do not. You also give many examples of figure writing and reading later on. This will serve you well as a study guide!

3. Visualization and file writing Awesome job on this section, showing off many of the techniques our guest speaker talked about. You experiment with point size as a scale, color palettes, and singling out a single country to color. You could have added a bit more commentary here about how and why you are making certain deign choices, in line with what the speaker discussed. But the tasks are very well executed.

Overall, excellent work. You completed all of the tasks and presented them very well.

[derekcho]

@ilgan I believe that you are supposed to review the reports of teilhard1976 and OliviaTabares, not cheungamanda.

[derekcho]

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

• Although it wasn’t an explicit task, great work showing how to convert character data into factors!
• The second task was well done and well demonstrated! You showed the correct use of droplevels() to remove Oceania as a factor from gapminder
• Your demonstration and explanations of the uses of arrange and arrange with factor reordering was thorough and well done!
• In general, if you are ordering my something like population, make sure to include the population in the output tables so that the reader can verify that your code is doing what you say it is
• I really like your table showing the differences in factor orders, this is a great table to include and demonstrates the differences between theses methods well
• All in all, your plots for the visualization design part of the assignment were excellent. They were visually appealing and very clear and you demonstrated advanced knowledge of using ggplot!
• Well done overall! Great work in STAT 545A!

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