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Amazonas quarterly GDP time series

Importing the package

library(amazonasdatahub)

Amazonas quarterly GDP time series​

With the data from gdp_amazonas, we can perform analyzes regarding the observed patterns in data distribution across the observed range (2010 to 2021).

Using dplyr, we can select the variables of interest, and with o ggplot2, we will create a line graph. This example will show this application, as well as more advanced customizations, including colors, title font formatting and line types.

require(dplyr)
require(lubridate)
require(ggplot2)

gdp_amazonas %>%
  mutate(date = make_date(year, (as.numeric(as.character(quarter)) - 1)*3 + 1, 1)) %>%
  select(date, taxes) %>%
  ggplot(aes(x = date, y = taxes)) +
  geom_line(linewidth = 1L, colour = "#cb181d") +
  geom_hline(
        yintercept = mean(gdp_amazonas$taxes),
        linetype = "dashed",
        size = 1
  ) +
  theme_light() +
  theme(
        plot.title = element_text(face = "bold", size = 16)
  ) +
  labs(
       x = "Ano",
       y = "Impostos",
       title = "PIB Trimestral do Amazonas",
       subtitle = "De 2010 a 2021"
  )