Week 6 Homework

library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.4.4     ✔ tibble    3.2.1
✔ 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)
Nations <- read_csv("nations.csv")|>
  mutate(GDP = (gdp_percap * population)/10^12)

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.

Graph1Countries <- c("China", "Germany", "Japan", "United States")
Graph1Data <-filter(Nations, country %in% Graph1Countries)

plot1 <- ggplot(Graph1Data, aes(x=year, y=GDP, color = country)) + geom_point() + geom_line() + scale_color_brewer(palette = "Set1") + 
  labs(title = "China's Rise to Become The Largest Economy", 
       x = "Years", 
       y= "GDP($trillion)")

plot1

sumregion <- Nations |>
  group_by(region,year) |>
  summarise(sum_GDP = sum(GDP, na.rm = TRUE))

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

plot2 <-ggplot(sumregion, aes(x = year, y = sum_GDP, fill = region)) + geom_area() + scale_fill_brewer(palette = "Set2") + 
  labs(title = "GDP by World Bank Region",
       x = "year",
       y = "GDP (Trillion)")
plot2