使用 R Plotly 组合分组条形图和堆积条形图 [英] Combining both grouped bar chart and stacked bar chart using R Plotly
本文介绍了使用 R Plotly 组合分组条形图和堆积条形图的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我正在尝试使用 plot_ly() 组合堆积条形图和分组条形图.我遇到了一些问题，但无法为这种情况找到完美的解决方案.
我遇到了
I am trying to combine both stacked bar and grouped bar chart using plot_ly(). I came across a few questions but couldn't get the perfect solution for this scenario.
I came across the solution using ggplot2. But I need to implement using plot_ly
This is the data frame I am trying to plot
structure(list(QuarterYear = c("Q4 2019", "Q4 2019", "Q4 2019",
"Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019",
"Q4 2019", "Q4 2019", "Q4 2019", "Q1 2020", "Q1 2020", "Q1 2020",
"Q1 2020", "Q1 2020", "Q1 2020", "Q1 2020", "Q1 2020", "Q1 2020",
"Q1 2020", "Q1 2020", "Q1 2020", "Q2 2020", "Q2 2020", "Q2 2020",
"Q2 2020", "Q2 2020", "Q2 2020", "Q2 2020", "Q2 2020", "Q2 2020",
"Q2 2020", "Q2 2020", "Q2 2020", "Q3 2020", "Q3 2020", "Q3 2020",
"Q3 2020", "Q3 2020", "Q3 2020", "Q3 2020", "Q3 2020", "Q3 2020",
"Q3 2020", "Q3 2020", "Q3 2020"), Grade = c("Grade 8", "Grade 8",
"Grade 8", "Grade 9", "Grade 9", "Grade 9", "Grade 10", "Grade 10",
"Grade 10", "Grade 11", "Grade 11", "Grade 11", "Grade 8", "Grade 8",
"Grade 8", "Grade 9", "Grade 9", "Grade 9", "Grade 10", "Grade 10",
"Grade 10", "Grade 11", "Grade 11", "Grade 11", "Grade 8", "Grade 8",
"Grade 8", "Grade 9", "Grade 9", "Grade 9", "Grade 10", "Grade 10",
"Grade 10", "Grade 11", "Grade 11", "Grade 11", "Grade 8", "Grade 8",
"Grade 8", "Grade 9", "Grade 9", "Grade 9", "Grade 10", "Grade 10",
"Grade 10", "Grade 11", "Grade 11", "Grade 11"), Type = c("overallAverage",
"CT", "RT", "overallAverage", "CT", "RT", "overallAverage", "CT",
"RT", "overallAverage", "CT", "RT", "overallAverage", "CT", "RT",
"overallAverage", "CT", "RT", "overallAverage", "CT", "RT", "overallAverage",
"CT", "RT", "overallAverage", "CT", "RT", "overallAverage", "CT",
"RT", "overallAverage", "CT", "RT", "overallAverage", "CT", "RT",
"overallAverage", "CT", "RT", "overallAverage", "CT", "RT", "overallAverage",
"CT", "RT", "overallAverage", "CT", "RT"), value = c(2.48, 2.21,
0.27, 3.48, 3.03, 0.45, 4.6, 4, 0.6, 2.8, 2.4, 0.4, 2.54, 2.28,
0.26, 3.45, 3, 0.45, 4.46, 3.88, 0.58, 3.56, 2.81, 0.75, 2.47,
2.14, 0.33, 2.96, 2.54, 0.41, 4.1, 3.69, 0.41, 3.44, 2.61, 0.83,
2, 1.81, 0.19, 2.54, 2.26, 0.28, 4.11, 3.68, 0.43, 2.67, 2.11,
0.56)), row.names = c(NA, -48L), class = "data.frame")
I am aware that we need to define the barmode as stack for stacked bar and group for grouped bar chart. I'm not aware of now to combine these barmode in one single plot using plot_ly
Can anyone provide a suitable solution in R?
Thanks in advance!!
解决方案
Here is the best plot_ly can do:
library(plotly)
library(tidyverse)
dat <- tibble(QuarterYear = c("Q4 2019", "Q4 2019", "Q4 2019",
"Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019", "Q4 2019",
"Q4 2019", "Q4 2019", "Q4 2019", "Q1 2020", "Q1 2020", "Q1 2020",
"Q1 2020", "Q1 2020", "Q1 2020", "Q1 2020", "Q1 2020", "Q1 2020",
"Q1 2020", "Q1 2020", "Q1 2020", "Q2 2020", "Q2 2020", "Q2 2020",
"Q2 2020", "Q2 2020", "Q2 2020", "Q2 2020", "Q2 2020", "Q2 2020",
"Q2 2020", "Q2 2020", "Q2 2020", "Q3 2020", "Q3 2020", "Q3 2020",
"Q3 2020", "Q3 2020", "Q3 2020", "Q3 2020", "Q3 2020", "Q3 2020",
"Q3 2020", "Q3 2020", "Q3 2020"),
Grade = c("Grade 8", "Grade 8",
"Grade 8", "Grade 9", "Grade 9", "Grade 9", "Grade 10", "Grade 10",
"Grade 10", "Grade 11", "Grade 11", "Grade 11", "Grade 8", "Grade 8",
"Grade 8", "Grade 9", "Grade 9", "Grade 9", "Grade 10", "Grade 10",
"Grade 10", "Grade 11", "Grade 11", "Grade 11", "Grade 8", "Grade 8",
"Grade 8", "Grade 9", "Grade 9", "Grade 9", "Grade 10", "Grade 10",
"Grade 10", "Grade 11", "Grade 11", "Grade 11", "Grade 8", "Grade 8",
"Grade 8", "Grade 9", "Grade 9", "Grade 9", "Grade 10", "Grade 10",
"Grade 10", "Grade 11", "Grade 11", "Grade 11"),
Type = c("overallAverage",
"CT", "RT", "overallAverage", "CT", "RT", "overallAverage", "CT",
"RT", "overallAverage", "CT", "RT", "overallAverage", "CT", "RT",
"overallAverage", "CT", "RT", "overallAverage", "CT", "RT", "overallAverage",
"CT", "RT", "overallAverage", "CT", "RT", "overallAverage", "CT",
"RT", "overallAverage", "CT", "RT", "overallAverage", "CT", "RT",
"overallAverage", "CT", "RT", "overallAverage", "CT", "RT", "overallAverage",
"CT", "RT", "overallAverage", "CT", "RT"),
value = c(2.48, 2.21,
0.27, 3.48, 3.03, 0.45, 4.6, 4, 0.6, 2.8, 2.4, 0.4, 2.54, 2.28,
0.26, 3.45, 3, 0.45, 4.46, 3.88, 0.58, 3.56, 2.81, 0.75, 2.47,
2.14, 0.33, 2.96, 2.54, 0.41, 4.1, 3.69, 0.41, 3.44, 2.61, 0.83,
2, 1.81, 0.19, 2.54, 2.26, 0.28, 4.11, 3.68, 0.43, 2.67, 2.11,
0.56))
q4_2019 <- dat %>% filter(QuarterYear == "Q4 2019") %>%
group_by(Grade) %>%
arrange(Grade) %>%
plot_ly(
x = ~Type,
y = ~value,
color= ~Grade,
colors = 'Reds',
type = 'bar',
legendgroup=~Grade) %>%
layout(xaxis = list(title = "Q4 2019"))
q1_2020 <- dat %>% filter(QuarterYear == "Q1 2020") %>%
group_by(Grade) %>%
arrange(Grade) %>%
plot_ly(
x = ~Type,
y = ~value,
color= ~Grade,
colors = 'Reds',
type = 'bar',
legendgroup=~Grade,
showlegend = FALSE) %>%
layout(xaxis = list(title = "Q1 2020"))
q2_2020 <- dat %>% filter(QuarterYear == "Q2 2020") %>%
group_by(Grade) %>%
arrange(Grade) %>%
plot_ly(
x = ~Type,
y = ~value,
color= ~Grade,
colors = 'Reds',
type = 'bar',
legendgroup=~Grade,
showlegend = FALSE) %>%
layout(xaxis = list(title = "Q2 2020"))
q3_2020 <- dat %>% filter(QuarterYear == "Q3 2020") %>%
group_by(Grade) %>%
arrange(Grade) %>%
plot_ly(
x = ~Type,
y = ~value,
color= ~Grade,
colors = 'Reds',
type = 'bar',
legendgroup =~Grade,
showlegend = FALSE) %>%
layout(xaxis = list(title = "Q3 2020"))
subplot(q4_2019, q1_2020, q2_2020, q3_2020 ,titleX = TRUE,shareY = T) %>% layout(barmode = 'stack', showlegend = TRUE)
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