PowerBI堆积瀑布图_R脚本Visual

# 下面用于创建数据帧并删除重复行的代码始终执行，并用作脚本报头: 
# dataset <- data.frame(dim, wd, values)
# 在此处粘贴或键入脚本代码:

# ====================================================================================================
# 参考：https://stackoverflow.com/questions/48259930/how-to-create-a-stacked-waterfall-chart-in-r
# 译文：https://codeday.me/bug/20190319/786734.html
# ====================================================================================================

library("ggplot2")
library("dplyr")

df <- dataset

df.tmp <- df %>%
  mutate(
    dim = factor(dim,
                        levels = c("A", "B", "C", "D")),
    wd = factor(wd,
                        levels = c("E", "W", "Q"))
  ) %>%

  arrange(dim, desc(wd)) %>%
  mutate(end.Bar = cumsum(values),
         start.Bar = c(0, head(end.Bar, -1))) %>%
  rbind(
    df %>%
      group_by(wd) %>% 
      summarise(values = sum(values)) %>%
      mutate(
        dim = "Total",
        wd = factor(wd,
                         levels = c("E", "W", "Q"))
      ) %>%
      arrange(dim, desc(wd)) %>%
      mutate(end.Bar = cumsum(values),
             start.Bar = c(0, head(end.Bar, -1))) %>%
      select(names(df),end.Bar,start.Bar)
  ) %>%
  mutate(group.id = group_indices(., dim)) %>%
  group_by(dim) %>%
  mutate(total.by.x = sum(values)) %>%
  select(dim, wd, group.id, start.Bar, values, end.Bar, total.by.x)

ggplot(df.tmp, aes(x = group.id, fill = wd)) + 
  geom_rect(aes(x = group.id,
                xmin = group.id - 0.25, 
                xmax = group.id + 0.25, 
                ymin = end.Bar,
                ymax = start.Bar),
            color="black", 
            alpha=0.95) + 
  geom_segment(aes(x=ifelse(group.id == last(group.id),
                            last(group.id),
                            group.id+0.25), 
                   xend=ifelse(group.id == last(group.id),
                               last(group.id),
                               group.id+0.75), 
                   y=ifelse(wd == "E",
                            end.Bar,
                            max(end.Bar)*2), 
                   yend=ifelse(wd == "E",
                               end.Bar,
                               max(end.Bar)*2)), 
               colour="black") +
  geom_text(
    mapping = 
      aes(
        label = ifelse(values < 150, 
                       "",
                       ifelse(nchar(values) == 3,
                              as.character(values),
                              sub("(.{1})(.*)", "\\1,\\2", 
                                  as.character(values)
                              )
                            )
                       ),
        y = rowSums(cbind(start.Bar,values/2))
        ),
    color = "white",
    fontface = "bold"
    ) + 
  geom_text(
    mapping = 
      aes(
        label = ifelse(wd != "E", 
                       "",
                       ifelse(nchar(total.by.x) == 3,
                              as.character(total.by.x),
                              sub("(.{1})(.*)", "\\1,\\2", 
                                  as.character(total.by.x)
                                )
                            )
                      ),
        y = end.Bar+200
      ),
    color = "#213058",
    fontface = "bold"
  ) + 
  #分类颜色设置
  scale_fill_manual(values=c('#ADB175','#8E599F','#213058')) +
  # Y轴设置
  scale_y_continuous(
    expand=c(0,0),
    limits = c(0, 4000),
    breaks = seq(0, 4000, 500),
    labels = ifelse(nchar(seq(0, 4000, 500)) < 4,
                    as.character(seq(0, 4000, 500)),
                    sub("(.{1})(.*)", "\\1,\\2", 
                        as.character(seq(0, 4000, 500))
                    )
    )
  ) +
  scale_x_continuous(
    expand=c(0,0),
    limits = c(min(df.tmp$group.id)-0.5,max(df.tmp$group.id)+0.5),
    breaks = c(min(df.tmp$group.id)-0.5,
               unique(df.tmp$group.id), 
               unique(df.tmp$group.id) + 0.5
               ),
    labels = 
      c("", 
        as.character(unique(df.tmp$dim)), 
        rep(c(""), length(unique(df.tmp$dim)))
      )
  ) +
  theme(
    text = element_text(size = 14, color = "#213058"),
    axis.text = element_text(size = 10, color = "#213058", face = "bold"),
    axis.text.y = element_text(margin = margin(r = 0.3, unit = "cm")),
    axis.ticks.x =
      element_line(color =
                     c("black",
                       rep(NA, length(unique(df.tmp$dim))),
                       rep("black", length(unique(df.tmp$dim))-1)
                     )
                   ),
    axis.line = element_line(colour = "#213058", size = 0.5),
    axis.ticks.length = unit(.15, "cm"),
    axis.title.x =       element_blank(),
    axis.title.y =       element_blank(),
    panel.background =   element_blank(),
    plot.margin =        unit(c(1, 1, 1, 1), "lines"),
    legend.text =        element_text(size = 10, 
                                      color = "#213058",
                                      face = "bold",
                                      margin = margin(l = 0.25, unit = "cm")
                                      ),
    legend.title =       element_blank()
  )