Nations HW

Libraries and Data

library(tidyverse)

Warning: package 'ggplot2' was built under R version 4.4.2

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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✔ ggplot2   3.5.1     ✔ tibble    3.2.1
✔ lubridate 1.9.3     ✔ tidyr     1.3.1
✔ purrr     1.0.2     
── 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

setwd("~/DATA 110")
nations <- read_csv("nations.csv")

Rows: 5275 Columns: 10
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (5): iso2c, iso3c, country, region, income
dbl (5): year, gdp_percap, population, birth_rate, neonat_mortal_rate

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Prep Data

nations <- nations |> 
  mutate(gdp = (gdp_percap * population) / (10 ^ 12))

nations1 <- nations |>
  filter(country %in% c("China", "Germany", "Japan", "United States"))

nations2 <- nations |> 
  group_by(year, region) |>
  summarise(gdp = sum(gdp, na.rm = TRUE))

`summarise()` has grouped output by 'year'. You can override using the
`.groups` argument.

Graph 1

nations1 |> 
  ggplot(aes(year, gdp)) +
  geom_point(aes(color = country)) +
  geom_line(aes(color = country)) +
  scale_color_brewer(palette = "Set1") +
  labs(title = "China's Rise to Become the Largest Economy", y = "GDP ($ trillion)") +
  theme_minimal()

Graph 2

nations2 |>
  ggplot(aes(year, gdp)) +
  geom_area(aes(fill = region), color = "white") +
  scale_fill_brewer(palette = "Set2") + 
  labs(title = "GDP by World Bank Region", y = "GDP ($ trillion)") +
  theme_minimal()