Hi Lauren,

Here are some comments about your homework 1:

• Good use of markdown features 👍🏻
• For exercise 1, you could've used other functions to showcase what's in the dataset
• Your slides are not rendered into a readable file such as .pdf or .md, however the code runs error-free and there is no overflowing text or plots ✅
• Try to add more comments in your future assignments!

Remarks:

• Add a README file in your homework 5 repo to orient someone who might not be familiar with the course. Also, provide the HTML link in this README file to navigate your work easily.
• Summary of here::here seems okay, but it could be more creative.
• For more than 10 rows, we usually use DT::datatable() command to show a dataset in an HTML format.
• For problem 2, the instruction was to drop 'Oceania' from the continent variable. Apart from this, your exploration strategy was fine.
• You have successfully reloaded a dataset for problem 3. However, the instruction was to export a dataset to disk and then reload it back. Again, please check when we use DT::datatable() and knitr::kable() or do nothing.
• You haven't submitted the second part of problem 3.
• You have successfully recreated a figure, which looks way better than the previous one. However, please note that we typically use a boxplot to show the information of a five-number summary for 1) a continuous variable, 2) a continuous variable with respect to another grouped variable. You can find this reference useful.
• You have solved problem 5 very efficiently than other problems.
• Overall, you have done a nice job. Keep it up! 👍

Peer-Review HW-04 for smithlauren

Remarks:

• Everything looks great and follows the guidelines for each task
• At first I thought you had forgotten to add an HTML page however!
• Maybe consider making a README file for your individual homework files or moving the links in your main repo README to the top 😊

Peer-Review HW-02 for Lauren Smith

Remarks:

• nice organization and use of kable to display tibbles
• n_distinct is a nice way to count countries that I will use

Peer-Review HW-01 for Lauren Smith

Remarks:

• Your read me is great! I really like the link to your lab page and all the photos, although maybe they could be a touch smaller
• Changing the axis labels and adding a title to your graph was a good idea! Makes it much easier to read and more aesthetically pleasing
• Slides are great!
• Good use of headings and subheading in your markdown. Only suggestion would be to add some more comments to explain what you are doing

Peer-Review HW-02 for Lauren Smith

Remarks:

• Very clear context and explanations throughout.
• At the exercise no 1.3 you were told to include a new variable that will show the increase in life expectancy in your tibble. But you have not done it. So, check this.
  But it is not a serious problem. But one thing check your command because you did not
  produce the required result. You have to use "mutate(increaselifeExp = lifeExp - lag(lifeExp, order_by = year))" not "mutate(increaselifeExp = lifeExp -lag(lifeExp))" only.
• Nice working at the "Orange" dataset.

Hello @smithlauren :),
here are a few comments about your assignment:

• There is no README file in your hw folder
• You didn't make all your code visible
• Task 1.1: no need to use select(). Also, you could've edited column names to specify you're showing life expectancy values
• Task 3.3: no need to create an excerpt
• Overall great job 👍 !

Peer-Review HW-01 for Lauren

Remarks:

• Wow, this is really interesting content! Did not know about this field of study!
• The photos and text work really well together. Good style.
• Very informative about the repository and Lauren.
• Very tidy
  @smithlauren

Peer-Review HW-03 for Lauren Smith

Remarks:

• please put a readme to direct to the html
• very nice graphs, nice to split up by continent

Peer-Review HW-02 for @smithlauren

Remarks:

• Everything is well organized and pretty clear
• I like the way you introduce the data by adding links and tables
• I learned to use labs()and theme(plot.title = element_text(hjust = 0.5)) to make graphs more readable
• You could try to use DT::datatable() when your data have many rows

Peer-Review HW-03 for @smithlauren

Remarks:

• Your code is clear and runs smoothly
• I notice that you used print() to show tibbles, and there is another easy way by using () to get the results. For example, (minmax_gdp <- gapminder %>% group_by(continent) %>% summarize(max_gdp = max(gdpPercap), min_gdp = min(gdpPercap)))
• And your graphs are tidy with titles and clear labels

Peer-Review HW-03 for Lauren Smith

Remarks:

• Your coding style was good and easy to understand.
• Thank you for describing the task details that you have done.
• I have faced a problem with reading your Html file. No problem, you can add
  them in the README file.
• Having a README file in your repository would be helpful.
• You have used the print command to see the minGDP, as this is older so try to use knittr::kable or DT::datatable.
• The description of tables and graphs was really helpful.