hw02 ready for grading

[CassKon]

@vincenzocoia @gvdr @ksedivyhaley @joeybernhardt @mynamedaike @pgonzaleze @derekcho please find my homework 02 here!

[vibudh2209]

Things done excellently:

• Naming and making of repo done correctly
• Smell test done extensively
• One qualitative and one quantitative variable explored properly
• Explored many plot types
• Attempted "I want to do more"

Things that can be added

• The link in the Readme of home page directing towards hw02 doesn't seem to be working
• Might like to add content table with link to individual sub heading
• Instead of using typeof for each variable in gapminder could have used sapply function (Just a suggestion!!!)
• Could have explained your process (what you found tough or easy)
• Could have explored few more graph types

Overall pretty good work!!! Cheers Vibudh

[ksedivyhaley]

Smell test of data: Yes, see comments re typeof() Explores at least one categorical/quantitative variable: Yes Uses various ggplot types: Yes (scatterplot, barplot) Uses filter(), select(), and %>%: Yes Bonus (evaluate code, tables, more dplyr): Yes, evaluate code (good explanation of why!) Reflection on process: No

Comments:

• typeof() produces odd results with factors – it's calling $country and $continent integers because they are stored as integers under the hood, but it's important to be able to distinguish that from actual numeric data like $lifeExp. The 'class()' function will tell you when something is a factor.
• data <- gapminder is unnecessary, just call gapminder.
• Any particular reason you used ggplot(data.frame(data$continent), aes(x=data$continent))? ggplot(gapminder, aes(x=continent)) is sufficient.
• “I then coloured the points by continent and added lines through the points using the geom_smooth() line. ”: geom_smooth doesn't put lines through points, it makes a trend curve.
• select() doesn't actually do anything when piped into ggplot – it's for displaying tables.
• To improve, try stretching a bit more in terms of the questions you're asking.

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

[farihakhan]

Good job on your assignment, you covered all of the analysis requirements well. Nice use of different filters, and documentation within your markdown. I also like that you included the answers for each questions alongside your code chunks. Your graphs looks great, I like that you went the extra step to add labels. Also, good job with exploring different features of ggplot and combining functions into your graphs.

I noticed that you didn't include your progress report for the assignment, but there is some documentation of your thought process within your markdown. You also didn't include a readme file at all, which gives your assignment little context or descriptions for others viewing it. When looking at the data types of each variable in the data frame, using str() would have been a more efficient solution. The readability of your code could be slightly improved by adding more commenting and spacing. RStudio has a feature where you can automatically have the software format your code by cmd + shift + A. You do a good job covering the questions that were asked, but you could try explore different variables and manipulating the data to explore deeper.

Nice job!