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Introduce a major draw for animation ggplot2 expansion pack --- gganimate package.
Hans Rosling on "New Insights on Poverty" in TED speech
Try using the following gganimate and gapminder packet data sets to achieve a similar visualization process.
Loading a pack R, data
#R包安装
install.packages("devtools")
library(devtools)
install_github("thomasp85/gganimate")
install.packages("gapminder")
#加载
library(gganimate)
library(gapminder)
#查看数据
head(gapminder)
# A tibble: 6 x 6
country continent year lifeExp pop gdpPercap
<fct> <fct> <int> <dbl> <int> <dbl>
1 Afghanistan Asia 1952 28.8 8425333 779.
2 Afghanistan Asia 1957 30.3 9240934 821.
3 Afghanistan Asia 1962 32.0 10267083 853.
4 Afghanistan Asia 1967 34.0 11537966 836.
5 Afghanistan Asia 1972 36.1 13079460 740.
6 Afghanistan Asia 1977 38.4 14880372 786.
Data set includes the world's major countries in 1952-- 2007, GDP per capita, life expectancy and population growth data.
Draw two ggplot2
Use ggplot2 draw
theme_set(theme_bw())
p <- ggplot(gapminder,
aes(x = gdpPercap, y=lifeExp, size = pop, colour = country)) +
geom_point(show.legend = FALSE, alpha = 0.7) +
scale_color_viridis_d() +
scale_size(range = c(2, 12)) +
scale_x_log10() +
labs(x = "GDP per capita", y = "Life expectancy")
p
三 gganimate 动态
1. transition_time() 核心函数，添加动态
p + transition_time(year) + labs(title = "Year: {frame_time}")
2 按需设置
1）添加小尾巴
p + transition_time(year) +
labs(title = "Year: {frame_time}") +
shadow_wake(wake_length = 0.1, alpha = FALSE)
2）原数据做背景
p + transition_time(year) +
labs(title = "Year: {frame_time}") +
shadow_mark(alpha = 0.3, size = 0.5)
参考资料
https://www.datanovia.com/en/blog/gganimate-how-to-create-plots-with-beautiful-animation-in-r/
TED：https://www.ted.com/talks/hans_rosling_the_best_stats_you_ve_ever_seen?language=zh-TW
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