Untitled

library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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✔ 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

library(dplyr)
library(ggplot2)
library(RColorBrewer)

setwd("C:/Users/eyong/OneDrive - montgomerycollege.edu/Desktop/data110/DATASETS/nations")
nat<-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.

dat <- nat %>%
  mutate(gdp = (gdp_percap * population) / 10^12)

options(scipen=999)
selected_countries <- c("Cameroon", "Nigeria", "Namibia", "Guinea", "France")

country_data <- dat %>%
  filter(country %in% selected_countries)

ggplot(country_data, aes(x = year, y = gdp, color = country)) +
  geom_point() +
  geom_line() +
  scale_color_brewer(palette = "Set1") +

  labs(title = "GDP of Countries Over Time", 
       x = "Year", 
       y = "GDP per capita in trillions") +
  theme_minimal()

region_gdp <- dat %>%
  group_by(region, year) %>%
  summarise(GDP = sum(gdp, na.rm = TRUE))

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

ggplot(region_gdp, aes(x = year, y = GDP, fill = region)) +
  geom_area(color = "white", alpha = 0.9) +
  scale_fill_brewer(palette = "Set2") +
  labs(title = "Total GDP by Region Over Time", 
       x = "Year", 
       y = "Total GDP per capita in trillions ") +
  theme_minimal()