[英]How can I combine group and stack bar chart with layout.shape in background using R Plotly?
I am trying to create a visualization where I need use both stack and group bar charts.我正在尝试创建一个可视化,我需要同时使用堆栈和组条形图。 The data I am using has thousand of rows, the below one is the subset of that.
我使用的数据有数千行,下面的数据是其中的一部分。
Month Week Cat n
_____________________________
2019-Dec 4 A 17
2019-Dec 4 B 6
2019-Dec 5 A 21
2019-Dec 5 C 10
2020-Jan 1 A 19
2020-Jan 1 B 20
2020-Jan 1 C 12
The plot I want is something like below:我想要的情节如下所示:
Where it's group by Month , stack by Cat and to distinguish different Week I want to add rectangular shapes in the background ( https://plotly.com/r/shapes/ ) for different weeks.它按 Month 分组,按 Cat 堆叠并区分不同的Week我想在不同周的背景中添加矩形形状( https://plotly.com/r/shapes/ )。
Thanks in advance!提前致谢!
As mentioned in the comments stacked+grouped bar charts aren't implemented yet in plotly .正如评论中提到的,堆叠+分组条形图尚未在 plotly 中实现。 Here is a
ggplot2
/ ggplotly
workaround:这是一个
ggplot2
/ ggplotly
解决方法:
library(plotly)
library(ggplot2)
DF <- data.frame(
stringsAsFactors = FALSE,
Month = c("2019-Dec","2019-Dec",
"2019-Dec","2019-Dec","2020-Jan","2020-Jan","2020-Jan"),
Week = c(4L, 4L, 5L, 5L, 1L, 1L, 1L),
Cat = c("A", "B", "A", "C", "A", "B", "C"),
n = c(17L, 6L, 21L, 10L, 19L, 20L, 12L)
)
p <- ggplot(DF, aes(x = Week, y = n, fill = Cat)) + geom_bar(stat = 'identity', position = 'stack') + facet_grid( ~ Month) + theme_bw()
ggplotly(p)
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