animated bar chart race in r
library(tidyverse)
library(gganimate)
library(gapminder)
theme_set(theme_classic())
gap <- gapminder %>%
filter(continent == "Asia") %>%
group_by(year) %>%
# The * 1 makes it possible to have non-integer ranks while sliding
mutate(rank = min_rank(-gdpPercap) * 1) %>%
ungroup()
p <- ggplot(gap, aes(rank, group = country,
fill = as.factor(country), color = as.factor(country))) +
geom_tile(aes(y = gdpPercap/2,
height = gdpPercap,
width = 0.9), alpha = 0.8, color = NA) +
# text in x-axis (requires clip = "off" in coord_*)
# paste(country, " ") is a hack to make pretty spacing, since hjust > 1
# leads to weird artifacts in text spacing.
geom_text(aes(y = 0, label = paste(country, " ")), vjust = 0.2, hjust = 1) +
coord_flip(clip = "off", expand = FALSE) +
scale_y_continuous(labels = scales::comma) +
scale_x_reverse() +
guides(color = FALSE, fill = FALSE) +
labs(title='{closest_state}', x = "", y = "GFP per capita") +
theme(plot.title = element_text(hjust = 0, size = 22),
axis.ticks.y = element_blank(), # These relate to the axes post-flip
axis.text.y = element_blank(), # These relate to the axes post-flip
plot.margin = margin(1,1,1,4, "cm")) +
transition_states(year, transition_length = 4, state_length = 1) +
ease_aes('cubic-in-out')
animate(p, fps = 25, duration = 20, width = 800, height = 600)
4.67
3
gap_smoother <- gapminder %>%
filter(continent == "Asia") %>%
group_by(country) %>%
# Do somewhat rough interpolation for ranking
# (Otherwise the ranking shifts unpleasantly fast.)
complete(year = full_seq(year, 1)) %>%
mutate(gdpPercap = spline(x = year, y = gdpPercap, xout = year)$y) %>%
group_by(year) %>%
mutate(rank = min_rank(-gdpPercap) * 1) %>%
ungroup() %>%
# Then interpolate further to quarter years for fast number ticking.
# Interpolate the ranks calculated earlier.
group_by(country) %>%
complete(year = full_seq(year, .5)) %>%
mutate(gdpPercap = spline(x = year, y = gdpPercap, xout = year)$y) %>%
# "approx" below for linear interpolation. "spline" has a bouncy effect.
mutate(rank = approx(x = year, y = rank, xout = year)$y) %>%
ungroup() %>%
arrange(country,year)
Thank you!
3
0
Are there any code examples left?
New code examples in category R
-
R 2022-03-27 14:00:12 R total line text file
-
R 2022-03-27 13:40:24 reduce ggtitle size
-
R 2022-03-23 02:05:30 r merge inner join
-
R 2022-03-21 19:20:02 combine columns in r
-
R 2022-03-16 11:05:16 ggplot box plot without outliers poins
-
R 2022-03-13 03:05:04 calculated defualt values in R function parameters
-
R 2022-03-12 21:55:01 r rename columns
-
R 2022-03-08 02:25:18 r - transform as factor
-
R 2022-03-06 02:50:06 create a dataframe with column names in r