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.
This exercise is part of the course
Visualizing Big Data with Trelliscope in R
Exercise instructions
- 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.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
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 = ___)