Hw002 ready for grading

[KateJohnson]

@vincenzocoia @gvdr @ksedivyhaley @joeybernhardt @mynamedaike @pgonzaleze @derekcho

[santiagodr]

Hi @KateJohnson !!!

• Great assignment, everything is organized and clean!
• You covered all aspects of the Gapminder exploration really well, including the questions and use of ggplot2 and dplyr. I like the way you explored the variables, it might be nice to include a short #comment to describe what you are going to do in the next code section, such as when you use breaks, round, but not 100% necessary.
• You showed good use of filter, select and piping, and there are at least two clear/nice plots using subset of data, and additional functions such as theme_classic.
• There is no further exploration for the optional points, which I guess its fine (or at least I did pretty much the same...)
• The report of progress is also detailed, might be better to include it in the README file, to separate that from the actual coding... Also, no idea about a spell check functionality, would love to have that too. Overall great work San

[ksedivyhaley]

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

Comments:

• First, it looks like you re-organized your repo after submitting the homework. Looks good - except you forgot to move your HW02 graphs into the new HW02 folder!
• Text is very clear!
• Variable names should be more descriptive than x
• Creative way to get the number of observations in the lowest gdp bin!
• You generally don't need to save a plot unless you have a specific reason (eg to produce variations on a base plot). Just use ggplot(aes()) + geom_thing()
• Instead of starting a pipe with filter(gapminder) %>% thing, start with gapminder %>% filter()
• When using ggplot, it's good style to put every new layer (+) on a new line.
• The combination of transparency and the large number of countries makes the legend for the last graph hard to read.

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

[vmichalowski]

Hi Kate, Great assignment! Very clean and organized. I had a hard time finding your histogram ("x <- hist(gapminder$gdpPercap)") - I'm not sure whether that's intentional or not, but it helped that you talked about the skewness and distribution below anyways. I also had a hard time finding your ggplots - but your explanations at the bottom again helped me understand what was coming out. In response to your question about spell check - I found out that it's the "ABC" function on the top of the markdown window, also accessible by pressing the F7 key I believe. :) Great work overall! Victoria