Assignment 5

As best you can, recreate this table showing the population and life expectancy for the two least populated countries in the Americas and Europe for 1997. Your assignment must show all code in the output. Use as many code chunks as you feel necessary, I recommend first getting the output to match the output below. Hint: you will probably find it easiest to use two pivot_wider() functions with a union() to replicate the data layout. Use the gapminder dataset.

The Grading Rubric is available at the end of this document.

The word Skál! should link to https://www.islandshotel.is/explore-iceland/blog/icelandic-phrases/ it doesn’t in the image because it is an image. The following packages are useful and loaded for you.

library(tidyverse)
library(gapminder)
library(gt)
library(gtExtras)

small_countries <- gapminder |>
  filter(year == 1997, continent %in% c("Americas", "Europe")) |>
  group_by(continent) |>
  slice_min(pop, n = 2) |>
  ungroup()

pop_row <- small_countries |>
  select(country, value = pop) |>
  mutate(value = as.double(round(value, 1))) |>
  pivot_wider(names_from = country, values_from = value) |>
  mutate(variable = "population")

lifeExp_row <- small_countries |>
  select(country, value = lifeExp) |>
  mutate(value = as.double(round(value, 1))) |>
  pivot_wider(names_from = country, values_from = value) |>
  mutate(variable = "life expectancy")
 
glimpse(small_countries)

Rows: 4
Columns: 6
$ country   <fct> "Trinidad and Tobago", "Jamaica", "Iceland", "Montenegro"
$ continent <fct> Americas, Americas, Europe, Europe
$ year      <int> 1997, 1997, 1997, 1997
$ lifeExp   <dbl> 69.465, 72.262, 78.950, 75.445
$ pop       <int> 1138101, 2531311, 271192, 692651
$ gdpPercap <dbl> 8792.573, 7121.925, 28061.100, 6465.613

final_table <- union(pop_row, lifeExp_row) |>
    select (variable, everything())

  final_table2 <- final_table[, c(1, 3, 2, 4, 5)]

print(final_table2)

# A tibble: 2 × 5
  variable          Jamaica `Trinidad and Tobago` Iceland Montenegro
  <chr>               <dbl>                 <dbl>   <dbl>      <dbl>
1 population      2531311               1138101    271192   692651  
2 life expectancy      72.3                  69.5      79       75.4

final_table2 |>
  gt() |>
  tab_header(md("🇮🇸Iceland  
                Fewer People, longer lives")) |>
  cols_label(
    variable = fontawesome::fa("chart-bar"),
    Iceland = md("**Iceland**"),
    Montenegro = md("**Montenegro**"),
    Jamaica = md("**Jamaica**"),
    'Trinidad and Tobago' = md("**Trinidad and  
                               Tobago**")) |>
  fmt_number(rows = 1,decimals = 0, use_seps = TRUE) |>
  fmt_number(rows = 2,decimals = 1) |>
  tab_spanner(label = md("**Americas**"),columns = 2:3) |>
  tab_spanner(label = md("**Europe**"),columns = 4:5) |> 
  gt_highlight_cols(columns = 4) |> 
  gt_theme_guardian()

🇮🇸Iceland Fewer People, longer lives
	Americas		Europe
	Jamaica	Trinidad and Tobago	Iceland	Montenegro
population	2,531,311	1,138,101	271,192	692,651
life expectancy	72.3	69.5	79.0	75.4

This is your work area. Add as many code cells as you need.

Submission

To submit your assignment:

• Change the author name to your name in the YAML portion at the top of this document
• Render your document to html and publish it to RPubs.
• Submit the link to your Rpubs document in the Brightspace comments section for this assignment.
• Click on the “Add a File” button and upload your .qmd file for this assignment to Brightspace.

Grading Rubric

Item (percent overall)	100% - flawless	67% - minor issues	33% - moderate issues	0% - major issues or not attempted
Narrative: typos and grammatical errors (7%)
Document formatting: correctly implemented instructions (7%)
Accuracy of replicated image as a gt table (78% )
Submitted properly to Brightspace (8%)		NA	NA	You must submit according to instructions to receive any credit for this portion.