nations dataset

library(tidyverse)

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setwd("/Users/hunchoamaru/Desktop/data 110")
nations_df <- 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.

head(nations_df)

# A tibble: 6 × 10
  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 2 more variables: region <chr>, income <chr>

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

countries_of_interest <- c("Senegal", "Japan", "France", "Brazil")
filtered_df <- nations_df %>%
  filter(country %in% countries_of_interest)

region_summary <-filtered_df %>%
  group_by(region, year) %>% 
  summarise(GDP = sum(gdp_trillions, na.rm = TRUE), .groups = 'drop')

plot1 <- ggplot(filtered_df, aes(x = year, y = gdp_trillions, color = country)) +
  geom_point() +
  geom_line() +
  scale_color_brewer(palette = "Set1") +
  labs(title = "GDP in Trillions for Selected Countries",
       x = "Year",
       y = "GDP (Trillions)",
       color = "Country") +

  theme_minimal()
plot1

plot2 <- ggplot(region_summary, aes(x = year, y = GDP, fill = region)) +
  geom_area(color = "white", linewidth = 0.1) +
  scale_fill_brewer(palette = "Set2") +
  labs(title = "GDP in Trillions by Region Over Time",
       x = "Year",
       y = "GDP (Trillions)",
       fill = "Region") +
  theme_minimal()
plot2