Nation Dataset Charts

library(tidyverse)
nations <- read_csv("nations.csv")
nationsData <- nations |>
  mutate(
    data = (gdp_percap * population) / 1e12
  )
head(nationsData)
# A tibble: 6 × 11
  iso2c iso3c country  year gdp_percap population birth_rate neonat_mortal_rate
  <chr> <chr> <chr>   <dbl>      <dbl>      <dbl>      <dbl>              <dbl>
1 AD    AND   Andorra  1996         NA      64291       10.9                2.8
2 AD    AND   Andorra  1994         NA      62707       10.9                3.2
3 AD    AND   Andorra  2003         NA      74783       10.3                2  
4 AD    AND   Andorra  1990         NA      54511       11.9                4.3
5 AD    AND   Andorra  2009         NA      85474        9.9                1.7
6 AD    AND   Andorra  2011         NA      82326       NA                  1.6
# ℹ 3 more variables: region <chr>, income <chr>, data <dbl>
chart1Data <- nationsData |>
  filter(
    country %in% c("China", "India", "United States", "Germany")
  )

chart1 <- chart1Data |>
  ggplot(aes(x = year, y = data, color = country)) +
  geom_point() +
  geom_line() +
  scale_color_brewer(palette = "Set1") +
  labs(title = "Total GDP in Trillions for Selected Nations",x = "Year",y = "GDP (Trillions USD)",color = "Country"
  ) +
  theme_minimal()
chart1

chart2Data <- nationsData |>
  group_by(region, year) |>
  summarise(
    GDP = sum(data, na.rm = TRUE), .groups = 'drop'
  )
head(chart2Data)
# A tibble: 6 × 3
  region               year   GDP
  <chr>               <dbl> <dbl>
1 East Asia & Pacific  1990  5.52
2 East Asia & Pacific  1991  6.03
3 East Asia & Pacific  1992  6.50
4 East Asia & Pacific  1993  7.04
5 East Asia & Pacific  1994  7.64
6 East Asia & Pacific  1995  8.29
chart2 <- chart2Data |>
  ggplot(aes(x = year, y = GDP, fill = region)) +
  geom_area(color = "white", size = 0.1) +
  scale_fill_brewer(palette = "Set2") +
  labs(title = "Total Regional GDP in Trillions",x = "Year",y = "Total GDP (Trillions USD)",fill = "Region"
  ) +
  theme_minimal()
Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.
chart2