如何用R语言Plotly绘制从大到小的水平累积直方图

Got it, let's tackle this horizontal cumulative histogram request— I've been in a similar spot where I needed to prioritize larger values at the top for readability, so I know exactly what you're going for. Here's a straightforward approach using Plotly's native histogram functionality (no need to manually calculate cumulative counts like you'd have to with bar charts):

Step 1: Prepare Example Data #

First, let's simulate data that matches your scenario—values from 1 to 11, with fewer records for larger numbers:

library(plotly)

# Simulate data: more entries for smaller values, fewer for larger
set.seed(123)
data <- data.frame(
  value = c(
    rep(1:5, each=20),
    rep(6:9, each=10),
    rep(10:11, each=3)
  )
)

Step 2: Reorder Categories for the Y-Axis #

Since we're making a horizontal plot, our categorical values will live on the Y-axis. We need to convert value to a factor with levels ordered from 11 down to 1 so they display top-to-bottom in descending order:

# Convert to factor with reversed levels (11 to 1)
data$value <- factor(data$value, levels = rev(1:11))

Step 3: Build the Horizontal Cumulative Histogram #

Use Plotly's histogram trace, enable cumulative counting, and set orientation='h' for horizontal layout:

plot_ly(data, y = ~value, type = "histogram", orientation = "h") %>%
  layout(
    title = "Horizontal Cumulative Histogram (11 to 1 Top-to-Bottom)",
    yaxis = list(title = "Value"),
    xaxis = list(title = "Cumulative Count"),
    bargap = 0.1 # Optional: adjust gap between bars for readability
  ) %>%
  layout(barmode = "overlay") %>% # Required for cumulative to work correctly
  add_trace(cumulative = list(enabled = TRUE, direction = "increasing"))

Key Details Explained: #

• orientation='h': Switches the histogram to horizontal, placing categories on the Y-axis and counts on the X-axis.
• Reversed factor levels: Ensures larger values (11, 10...) appear at the top of the Y-axis, which is critical for your readability goal.
• cumulative = list(enabled = TRUE): Tells Plotly to calculate cumulative counts automatically—no manual aggregation needed (this is why using histogram is better than bar here, since bar charts don't have native cumulative support).
• barmode = "overlay": A necessary setting to make the cumulative calculation work as expected for categorical histograms.

When you run this code, you'll get a horizontal histogram where each bar shows the cumulative count up to that value, with 11 at the top and 1 at the bottom—perfect for highlighting that smaller values have more records while keeping larger, rarer values visible at the top.

内容的提问来源于stack exchange，提问作者MMAASS