[英]How To Create Pyramid Bar Chart in R with y-axis labels between the bars
Below is some R code that generates a bar plot using ggplot, where the bars go off to the left and right, centered at x = 0
. 以下是一些使用ggplot生成条形图的R代码,其中条形以
x = 0
为中心向左和向右偏移。 I would like to take the text on the y axis (the stage names), and place them in-between the left and the right bars. 我想将文本放在y轴(舞台名称)上,并将其放置在左右条之间。 Here is the R code creating the graph:
这是创建图形的R代码:
library(dplyr)
libary(ggplot2)
# Read data
email_campaign_funnel <- read.csv("https://raw.githubusercontent.com/selva86/datasets/master/email_campaign_funnel.csv")
# X Axis Breaks and Labels
brks <- seq(-15000000, 15000000, 5000000)
lbls = paste0(as.character(c(seq(15, 0, -5), seq(5, 15, 5))), "m")
# Shorten Names
email_campaign_funnel <- email_campaign_funnel %>%
dplyr::mutate(Stage = gsub('Stage ', '', Stage)) %>%
dplyr::mutate(Stage = gsub(' Page', '', Stage)) %>%
dplyr::mutate(Stage = gsub('Campaign-', '', Stage))
# Plot
ggplot(email_campaign_funnel, aes(x = Stage, y = Users, fill = Gender)) + # Fill column
geom_bar(stat = "identity", width = .6) + # draw the bars
scale_y_continuous(breaks = brks, # Breaks
labels = lbls) + # Labels
coord_flip() + # Flip axes
labs(title="Email Campaign Funnel") +
theme(plot.title = element_text(hjust = .5),
axis.ticks = element_blank()) + # Centre plot title
scale_fill_brewer(palette = "Dark2") # Color palette
Below is a screenshot of a different graph that highlights sort of how I'd like the text to be split in between the bars (I prefer the vertical style of the ggplot()
graph more so than the horizontal nature of the imaged graph below). 以下是另一张图的屏幕截图,该图突出显示了我希望文本如何在各条之间分割的方式(我更喜欢
ggplot()
图的垂直样式,而不是下面成像图的水平性质) 。
Any ideas on how to do this in R would be greatly appreciated, thanks!
非常感谢您对R中如何执行此操作的任何想法,谢谢!
How about something like this using ggarrange
from the ggpubr
package: 如何像这样使用
ggarrange
从ggpubr
包:
gg1 <- email_campaign_funnel %>%
mutate(Users = if_else(Gender == "Male", Users, 0)) %>%
ggplot(aes(Stage, Users, fill = Gender)) +
geom_col(width = 0.6) +
scale_y_continuous(breaks = brks, labels = lbls) +
coord_flip() +
labs(title="Email Campaign Funnel") +
theme_minimal() +
scale_fill_manual(values = c("Male" = "Red", "Female" = "Blue")) +
theme(
axis.title.y=element_blank(),
axis.text.y=element_blank(),
axis.ticks.y=element_blank())
gg2 <- email_campaign_funnel %>%
filter(Gender == "Male") %>%
ggplot(aes(Stage, 0, label = Stage)) +
geom_text() +
coord_flip() +
theme_void()
gg3 <- email_campaign_funnel %>%
mutate(Users = if_else(Gender == "Female", Users, 0)) %>%
ggplot(aes(Stage, Users, fill = Gender)) +
geom_col(width = 0.6) +
scale_y_continuous(breaks = brks, labels = lbls) +
coord_flip() +
labs(title="Email Campaign Funnel") +
theme_minimal() +
scale_fill_manual(values = c("Male" = "Red", "Female" = "Blue")) +
theme(
axis.title.y=element_blank(),
axis.text.y=element_blank(),
axis.ticks.y=element_blank())
library(ggpubr)
ggarrange(gg1, gg2, gg3, ncol = 3, common.legend = TRUE, align = "h")
Explanation: The idea is to build the plot separately from the left and right pyramid bar charts and the labels in the middle. 说明:想法是与左侧和右侧金字塔条形图以及中间的标签分开构建图。 We then use
ggpubr::ggarrange
to arrange all three ggplot2
plot objects in a single row and ensure that axes are properly aligned. 然后,我们使用
ggpubr::ggarrange
将所有三个ggplot2
图对象排列在一行中,并确保轴正确对齐。
I was interested in seeing how close we can get to the horizontal pyramid bar chart plot you link to. 我很想知道我们可以接近您链接到的水平金字塔条形图。 Here is my attempt:
这是我的尝试:
# Sample data
df <- read.table(text =
"Category Group Value
REB Red 39
REB Blue 35
OREB Red 8
OREB Blue 4
DREB Red 31
DREB Blue 31
AST Red 25
AST Blue 21
STL Red 5
STL Blue 5
BLK Red 1
BLK Blue 0
TOV Red 9
TOV Blue 11", header = T)
# Set factor order
df <- df %>% mutate(Category = factor(Category, unique(Category)))
# Build ggplot2 plot objects
library(tidyverse)
gg1 <- df %>%
filter(Group == "Red") %>%
ggplot(aes(Category, Value, fill = Group, label = Value)) +
geom_col() +
geom_text(colour = "red3", fontface = "bold", nudge_y = 10) +
theme_void() +
scale_fill_manual(values = c("Red" = "red3", "Blue" = "navyblue"), drop = FALSE) +
ylim(c(0, round(1.5 * max(df$Value))))
gg2 <- df %>%
filter(Group == "Red") %>%
ggplot(aes(Category, 0, label = Category)) +
geom_text(fontface = "bold") +
theme_void()
gg3 <- df %>%
filter(Group == "Blue") %>%
ggplot(aes(Category, -Value, fill = Group, label = Value)) +
geom_col() +
geom_text(colour = "navyblue", fontface = "bold", nudge_y = -10) +
theme_void() +
scale_fill_manual(values = c("Red" = "red3", "Blue" = "navyblue"), drop = FALSE) +
ylim(c(round(-1.5 * max(df$Value)), 0))
# Arrange plot objects in 1 column with horizontal scales aligned
library(ggpubr)
ggarrange(gg1, gg2, gg3, nrow = 3, common.legend = TRUE, align = "h", heights = c(1, 0.5, 1))
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