plotly / plotly/plotly.R

ggplotly stack bar bug

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ggplotly wontfix
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R
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Description

Hi,

I am trying to replicate this as : https://plot.ly/ggplot2/geom_bar/

library(plotly)
library(ggplot2)
library(tidyverse)
library(data.table)


df <- structure(c(106487, 495681, 1597442, 2452577, 2065141, 2271925, 4735484, 3555352, 8056040, 4321887, 2463194, 347566, 621147, 1325727, 1123492, 800368, 761550, 1359737, 1073726, 36, 53, 141, 41538, 64759, 124160, 69942, 74862, 323543, 247236, 112059, 16595, 37028, 153249, 427642, 1588178, 2738157, 2795672, 2265696, 11951, 33424, 62469, 74720, 166607, 404044, 426967, 38972, 361888, 1143671, 1516716, 160037, 354804, 996944, 1716374, 1982735, 3615225, 4486806, 3037122, 17, 54, 55, 210, 312, 358, 857, 350, 7368, 8443, 6286, 1750, 7367, 14092, 28954, 80779, 176893, 354939, 446792, 33333, 69911, 53144, 29169, 18005, 11704, 13363, 18028, 46547, 14574, 8954, 2483, 14693, 25467, 25215, 41254, 46237, 98263, 185986), .Dim = c(19, 5), .Dimnames = list(c("1820-30", "1831-40", "1841-50", "1851-60", "1861-70", "1871-80", "1881-90", "1891-00", "1901-10", "1911-20", "1921-30", "1931-40", "1941-50", "1951-60", "1961-70", "1971-80", "1981-90", "1991-00", "2001-06"), c("Europe", "Asia", "Americas", "Africa", "Oceania")))
df.m <- melt(df)
df.m <- rename(df.m, Period = Var1, Region = Var2)

p <- ggplot(df.m, aes(x = Period, y = value/1e+06,fill = Region)) + ggtitle("Migration to the United States by Source Region (1820-2006), In Millions")
p <- p + geom_bar(stat = "identity", position = "stack")

p <- ggplotly(p)

The stack bar does not drop like the demo in the link. Instead, mine is:

image

I am currently on Rstudio V1.2.907

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by running the supplied R example through ggplotly(p), focusing on geom_bar(stat = "identity", position = "stack"). Compare the rendered stack bar with the linked ggplot2 demo and the attached screenshot. Done means the stacked bars reproduce the expected drop and remain correct for this example.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
data-visualization
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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