我想我们都同意 Excel 的伪 3D 图表充满了问题,但我对人们必须向那些签署薪水的人妥协的情况表示同情。
另外,我需要更好的爱好。
![very ugly plot](https://i.stack.imgur.com/2DwBJ.png)
Step 1.加载和重塑数据(即正常的东西):
library(dplyr); library(tidyr)
# original data as provided by OP
gender <- c("Male", "Male", "Female", "Male", "Male", "Female", "Male", "Male", "Female", "Male",
"Male", "Female")
race <- c("African American", "Caucasian", "Hispanic", "African American", "African American",
"Caucasian", "Hispanic", "Other", "African American", "Caucasian", "African American",
"Other")
data <- as.data.frame(cbind(gender, race))
# data wrangling
data.gather <- data %>% gather() %>%
group_by(key, value) %>% summarise(count = n()) %>%
mutate(prop = count / sum(count)) %>% ungroup() %>%
mutate(value = factor(value, levels = c("Male", "Female", "African American",
"Caucasian", "Hispanic", "Other")),
value.int = as.integer(value))
rm(data, gender, race)
Step 2.定义 3D 效果条的多边形坐标(即令人畏缩的东西):
# top
data.polygon.top <- data.gather %>%
select(key, value.int, prop) %>%
mutate(x1 = value.int - 0.25, y1 = prop,
x2 = value.int - 0.15, y2 = prop + 0.02,
x3 = value.int + 0.35, y3 = prop + 0.02,
x4 = value.int + 0.25, y4 = prop) %>%
select(-prop) %>%
gather(k, v, -value.int, -key) %>%
mutate(dir = str_extract(k, "x|y")) %>%
mutate(k = as.integer(gsub("x|y", "", k))) %>%
spread(dir, v) %>%
rename(id = value.int, order = k) %>%
mutate(group = paste0(id, ".", "top"))
# right side
data.polygon.side <- data.gather %>%
select(key, value.int, prop) %>%
mutate(x1 = value.int + 0.25, y1 = 0,
x2 = value.int + 0.25, y2 = prop,
x3 = value.int + 0.35, y3 = prop + 0.02,
x4 = value.int + 0.35, y4 = 0.02) %>%
select(-prop) %>%
gather(k, v, -value.int, -key) %>%
mutate(dir = str_extract(k, "x|y")) %>%
mutate(k = as.integer(gsub("x|y", "", k))) %>%
spread(dir, v) %>%
rename(id = value.int, order = k) %>%
mutate(group = paste0(id, ".", "bottom"))
data.polygon <- rbind(data.polygon.top, data.polygon.side)
rm(data.polygon.top, data.polygon.side)
Step 3.把它放在一起:
ggplot(data.gather,
aes(x = value.int, group = value.int, y = prop, fill = key)) +
# "floor" of 3D panel
geom_rect(xmin = -5, xmax = 10, ymin = 0, ymax = 0.02,
fill = "grey", color = "black") +
# background of 3D panel (offset by 2% vertically)
geom_hline(yintercept = seq(0, 1, by = 0.2) + 0.02, color = "grey") +
# 3D effect on geom bars
geom_polygon(data = data.polygon,
aes(x = x, y = y, group = group, fill = key),
color = "black") +
geom_col(width = 0.5, color = "black") +
geom_text(aes(label = scales::percent(prop)),
vjust = -1.5) +
scale_x_continuous(breaks = seq(length(levels(data.gather$value))),
labels = levels(data.gather$value),
name = "", expand = c(0.2, 0)) +
scale_y_continuous(breaks = seq(0, 1, by = 0.2),
labels = scales::percent, name = "",
expand = c(0, 0)) +
scale_fill_manual(values = c(gender = "#5f1b46",
race = "#3b6b74"),
guide = F) +
facet_grid(~key, scales = "free_x", space = "free_x") +
theme(panel.spacing = unit(0, "npc"), #remove spacing between facets
strip.text = element_blank(), #remove facet header
axis.line = element_line(colour = "black", linetype = 1),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.background = element_rect(fill = '#f9f3e5'),
plot.background = element_rect(fill = '#f9f3e5'))
注意:如果您注释掉geom_rect()
/ geom_hline()
/ geom_polygon()
geoms 并停止隐藏面间距/标题theme()
,这将是almost像样...