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library(tidyverse)

Warning: package 'tidyverse' was built under R version 4.5.3

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.6
✔ forcats   1.0.1     ✔ stringr   1.6.0
✔ ggplot2   4.0.2     ✔ tibble    3.3.1
✔ lubridate 1.9.4     ✔ tidyr     1.3.2
✔ purrr     1.2.1     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(dslabs)

Warning: package 'dslabs' was built under R version 4.5.3

library(treemap)

Warning: package 'treemap' was built under R version 4.5.3

data(gapminder)
head(gapminder)

              country year infant_mortality life_expectancy fertility
1             Albania 1960           115.40           62.87      6.19
2             Algeria 1960           148.20           47.50      7.65
3              Angola 1960           208.00           35.98      7.32
4 Antigua and Barbuda 1960               NA           62.97      4.43
5           Argentina 1960            59.87           65.39      3.11
6             Armenia 1960               NA           66.86      4.55
  population          gdp continent          region
1    1636054           NA    Europe Southern Europe
2   11124892  13828152297    Africa Northern Africa
3    5270844           NA    Africa   Middle Africa
4      54681           NA  Americas       Caribbean
5   20619075 108322326649  Americas   South America
6    1867396           NA      Asia    Western Asia

gapminder1 <- gapminder |>
  filter(year == 2007)

gapminder2 <- gapminder1 |>
  group_by(continent) |>
  summarise(total_population = sum(population))

head(gapminder2)

# A tibble: 5 × 2
  continent total_population
  <fct>                <dbl>
1 Africa           948156290
2 Americas         911419886
3 Asia            3911346015
4 Europe           730984863
5 Oceania           34130212

treemap(gapminder2,
  index = "continent",
  vSize = "total_population",
  title = "Population size of Continents")