Assignment 6 part2

Quarto

Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org.

Running Code

When you click the Render button a document will be generated that includes both content and the output of embedded code. You can embed code like this:

1 + 1

[1] 2

You can add options to executable code like this

[1] 4

The echo: false option disables the printing of code (only output is displayed).

library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.2.0     ✔ readr     2.2.0
✔ forcats   1.0.1     ✔ stringr   1.6.0
✔ ggplot2   4.0.2     ✔ tibble    3.3.1
✔ lubridate 1.9.5     ✔ 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

nations <- read_csv("/Users/vadik/Documents/Vadik/Education/SPRING 2026/DATA VIS/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.

nations <- nations %>%
  mutate(gdp_trillions = (gdp_percap * population) / 1e12)

chart1 <- nations %>%
  filter(country %in% c("China", "Germany", "Japan", "United States"))

ggplot(chart1, aes(x = year, y = gdp_trillions, color = country)) +
  geom_line() +
  geom_point() +
  scale_color_brewer(palette = "Set1") +
  labs(
    title = "China's Rise to Become the Largest Economy",
    x = "Year",
    y = "GDP ($ Trillions)"
  ) +
  theme_minimal()

chart2 <- nations %>%
  group_by(region, year) %>%
  summarize(gdp = sum(gdp_trillions, na.rm = TRUE))

`summarise()` has regrouped the output.
ℹ Summaries were computed grouped by region and year.
ℹ Output is grouped by region.
ℹ Use `summarise(.groups = "drop_last")` to silence this message.
ℹ Use `summarise(.by = c(region, year))` for per-operation grouping
  (`?dplyr::dplyr_by`) instead.

ggplot(chart2, aes(x = year, y = gdp, fill = region)) +
  geom_area(color = "white", size = 0.2) +
  scale_fill_brewer(palette = "Set2") +
  labs(
    title = "GDP by World Bank Region",
    x = "Year",
    y = "GDP ($ Trillions)"
  ) +
  theme_minimal()

Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.