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Customizing the gapminder display

Let's put some of these features to the test with our by-country life expectancy trajectory plot. Note that we are again working with just the two countries from Oceania.

Este exercício faz parte do curso

Visualizing Big Data with Trelliscope in R

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Instruções do exercício

  • Add a geom_smooth() layer to add a fitted linear model using the "lm" method.
  • Set the scales to be "sliced".
  • With the linear model layer added to the plot, specify that automatic cognostics should be computed for this display and explore what new cognostics this layer adds to the display.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

library(trelliscopejs)
library(ggplot2)

# Create the plot
ggplot(gapminder, aes(year, lifeExp)) +
  geom_point() +
  geom_smooth(method = ___, se = FALSE) +
  facet_trelliscope(~ country + continent,
    name = "lifeExp_by_country",
    desc = "Life expectancy vs. year for 142 countries.",
    nrow = 1, ncol = 2,
    # Set the scales
    scales = ___,
    # Specify automatic cognistics
    auto_cog = ___)
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