hw02 ready for grading

[yanchaoluo]

@vincenzocoia @gvdr @ksedivyhaley @joeybernhardt @mynamedaike @pgonzaleze @derekcho SHA: 940e541760bb6ee2b50fb5c455d686b7a241cc75

• Homework repo
• Homework2 file
• Homework2 Markdown

[winniewytse]

Hi @yanchaoluo , good work on your hw02! Here are a couple of things I appreciate.

• Tidy and informative README.md which includes a list of tasks of hw02, references you used, and direct links to the corresponding homework files.
• Accurate use of the functions to explore the dataset.
• Presented different ways to get the desired result in most of the tasks even if it is not required (e.g. used three different ways to analyze the type of each variable in gapminder).
• Good attempts at changing the aesthetic features of the graphs.

Question:

• The barplot of barplot(table(gapminder$country)) is hard to be interpreted. Is there any way to modify it?

[ksedivyhaley]

Smell test of data: Yes Explores at least one categorical/quantitative variable: Yes Uses various ggplot types: Yes (scatterplot, histogram, density, boxplot) Uses filter(), select(), and %>%: Yes Bonus (evaluate code, tables, more dplyr): Yes, evaluate code and summarize() rename() and mutate() Reflection on process: Yes

Comments:

• Thorough exploration of the different ways to get the same information about your dataset (though you don't need to repeat each alternative method for each variable)!
• The reason class() and typeof() give you different answers for factors is that factors are stored as integers “under the hood” in order to save data storage space. typeof() looks at this lower layer while class sees the factor stuff built on top.
• Try piping into ggplot.
• You don't need to save your plots as variables – you can just use ggplot() + geom_stuff
• select() and arrange()don't actually do anything when piped into ggplot – they're for displaying tables.
• Any reason you're using geom_jitter instead of geom_point?

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

[emilymistick]

@yanchaoluo,

Great work on this assignment! Your repo is well presented and easy to navigate.

In the "smell test your data" section, your answers are accurate and thoroughly explained

In the plotting section, you demonstrate a good variety of plots, scales, and even statistical fits and facet wrapping. Nice! When I made density plots for my homework I also used geom_density, but I used color=continent (it just gives the color on the outline). I like the effect of fill=continent that you used, that looks really nice. I wonder if you out color=continent, fill=continent, would it should the outline and fill colored in?

Great use of dplyr, you hit a lot more functions than just select and filter. Maybe next time you could try knitr:kable for your plots. I enjoyed reading through this assignment thank you.

Best, Emily