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hw03 ready for grading #4
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Hello, I am Hyeongcheol Park. Thank you for your inviting me on your GitHub. To sum up, your GitHub homework is amazing. I am really impressive by how you organize things with more skills than we learned in the class. You solved 6 questions all, with multiple plots on each question! I learned new codings from your work. It seems you know more than the class takes. library(ggthemes), library(reshape) and free using of “knitr::opts_chunk$set(fig.width=8, fig.height=5)” intrigued me to learn those more. Moreover, you know how to draw histogram well on Q1. I was keep using line graphs, but I realized histogram would be better idea for the question. On Q2, your summarizing by summary for each continent was impressive. I couldn’t do it so I just used group_by + summarize for every statistics. and about graphs, you cared details on plots, such as name of x and y axis with labs, titles ,theme, and scale and it made the graphs very good looking! And about Q3, your using of functions such as funs(), and summarise_each() was new to me so interesting. Especially, on Q6, your managing skills for data with different scales was helpful to me! you used scale() which I didn’t know, so I multiplied 10^3 on age with my Q6, which was same with you; Kuwait’s lifeExp and gdpPercap. So overall, I learned many new codings and got some brilliant ideas from peer-reviewing your assignment! Thanks for that. For my last comment, If I should give you some suggestion for your homework even though I actually could not find some considerable flaws, I would say that I fond some error. On Q1, your sentence was put into the first table. I guess you can use:(br /)- use <> instead of () bracket- or preventing your lines go into some tables or plots. And just one more thing, on question 4 after first graph for Asia, there is a typo. you pot America instead of Asia on the sentence, ‘America starts from about 44 to 66 overall.’ To sum up, it was very nice work. your homework contained new coding a lot! I enjoyed exploring your GitHub. Thank you and I hope you keep enjoy learning! |
Hi Your work is very impressive and every question is efficiently solved (Superb work!!!)
Few Comments
Over all your work was amazing and there are just so many things to learn from it (your efficient use of ggplot and much more). Cheers |
Arthursunbao Excellent work, I liked how clean and well explained is each point. I found interesting the analysis that you did because you used the resources taught in class but also you made more exploration and shaping the data. Your marks will be distributed later! |
@vincenzocoia @gvdr @ksedivyhaley @JoeyBernhardt @mynamedaike @pgonzaleze @derekcho
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