【发布时间】:2017-04-20 19:17:12
【问题描述】:
使用下面的代码,我有一个如图所示的堆积条形图。
myDF <- structure(list(Group = structure(1:3, .Label = c("2017-04-02",
"2017-04-09", "2017-04-16"), class = "factor"), Passive = c(4,
1, 0), Promoter = c(12, 1, 4), Detractors = c(0, 0, 0)), .Names = c("Group",
"Passive", "Promoter", "Detractors"), row.names = c(NA, -3L), class = "data.frame")
x <- list(
title = ""
)
y <- list(
title = "Count"
)
p <- plot_ly(myDF, x = ~Group)
if ("Detractors" %in% colnames(myDF[-1])){
p <- add_trace(p, y = ~`Detractors`, name = 'Detractors', type = 'bar',
marker = list(color = '#D52728')) #red
}
if ("Passive" %in% colnames(myDF[-1])){
p <- add_trace(p, y = ~`Passive`, name = 'Passive', type = 'bar',
marker = list(color = '#1F78B4')) #orange
}
if ("Promoter" %in% colnames(myDF[-1])){
p <- add_trace(p, y = ~`Promoter`, name = 'Promoter', type = 'bar',
marker = list(color = '#2BA02D')) #green
}
p <- layout(p, xaxis = x, yaxis = y, barmode = 'stack', legend = list(orientation = 'h'), showlegend=T)
p
我想在每个条形图的顶部显示净推荐值。我用于计算 NPS 的公式是:
(Number of Promoters — Number of Detractors) / (Number of Respondents) x 100。
所以对于第一个酒吧,它将是((12 - 0)/16) * 100 = 75。我想在第一个栏的顶部显示NPS: 75。同样,对于第二条和第三条,顶部的数字将分别为 (1-0)/2*100 = 50 和 (4-0)/4*100 = 100。我将在接下来的几周内获得更多数据,因此未来每周的数据都会有一个条形图。有没有办法在条形图的顶部显示这个计算值?
【问题讨论】:
标签: r plotly stacked-chart