HW 5- Data110

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   3.5.1     ✔ 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)

setwd("C:/Users/MCuser/Downloads")
nations <- 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.

nation1 <- nations |>
  mutate(gdppop = gdp_percap*population/1000000000) |>
  filter(country %in% c("Italy", "Austria", "Romania", "Germany"))

nation1 |>
  ggplot(aes(x = year, y = gdppop, color = country)) +
  geom_point() +
  geom_line() +
  labs(title = "Comparison of GDP in trillions by country",
       y = "GDP (trillions of $)",
       x = "Year",
       color = "Country") +
  scale_color_brewer(palette = "Set1")+
  theme_light()

nation2 <- nations |>
  mutate(gdppop = gdp_percap*population/1000000000) |>
  group_by(year,region) |>
  summarize(gdppop = sum(gdppop, na.rm = TRUE)) 

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

nation2 |>
  ggplot(aes(x=year, y=gdppop, fill = region)) + 
  geom_area() +
  scale_fill_brewer(palette = "Set2") +
  labs(title = "GDP by World Bank Region",
       x = "Year",
       y = "GDP($ Trillions)") +
  theme_light()