Nations

library(dplyr)

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

library(ggplot2)
library(RColorBrewer)
library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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✔ lubridate 1.9.3     ✔ tibble    3.2.1
✔ purrr     1.0.2     ✔ tidyr     1.3.1
✔ readr     2.1.5     
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✖ 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)
setwd("C:/Users/brend/OneDrive/Desktop/New folder (2)")
nations <- read_csv("nations (1).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) / 10^12)

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

ggplot(selected_countries, aes(x = year, y = gdp_trillions, color = country)) +
  geom_point() +                                # Add points
  geom_line() +                                 # Add lines connecting points
  scale_color_brewer(palette = "Set1") +        # Use the Set1 color palette from ColorBrewer
  labs(title = "China's Rise to Become the Largest Economy", 
       x = "Year", 
       y = "GDP (Trillions of $)",
       color = "Country") +
  theme_minimal()