plotly / plotly/plotly.R

Shiny/crosstalk barchart highlight adds bards

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Description

Trying to make a linked bar chart that links with other charts using crosstalk and shiny.
Issue: When clicking the plot, it stacks on top instead of just highlighting
image

RStudio cloud project with app for reprex https://rstudio.cloud/project/4071604

Shiny Example:

library(shiny)
library(crosstalk)
#> 
#> Attaching package: 'crosstalk'
#> The following object is masked from 'package:shiny':
#> 
#>     getDefaultReactiveDomain
library(plotly)
#> Loading required package: ggplot2
#> 
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#> 
#>     last_plot
#> The following object is masked from 'package:stats':
#> 
#>     filter
#> The following object is masked from 'package:graphics':
#> 
#>     layout
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(ggplot2)

# fake names
df = tibble::tribble(
  ~provider, ~n_total_visit,      ~Type, ~n_visit,
  "Dr. Robert Lyons",           315L,  "No Show",     142L,
  "Dr. Robert Lyons",           315L, "Occurred",     175L,
  "Dr. Alexander Augustine",           336L,  "No Show",     122L,
  "Dr. Alexander Augustine",           336L, "Occurred",     217L,
  "Dr. Alisia Valenzuela",           308L,  "No Show",     102L,
  "Dr. Alisia Valenzuela",           308L, "Occurred",     215L
)
df = df %>%
  mutate(utilization = n_visit / n_total_visit)
df = df %>%
  select(provider, utilization, Type) %>%
  mutate(Type = factor(Type, levels = c("Occurred", "No Show")))

ui <- fluidPage(
  titlePanel(title = ""),
  sidebarLayout(
    sidebarPanel(),
    mainPanel(
      plotlyOutput("utilization_by_provider", width = "100%"),
      plotlyOutput("gg", width = "100%")
    )
  )
)

server = function(input, output) {
  df = crosstalk::SharedData$new(df, key = ~ provider)

  output$utilization_by_provider = renderPlotly({
    fig = df %>%
      plot_ly(
        x = ~ provider,
        y = ~ utilization,
        color = ~ Type,
        type = "bar"
      ) %>%
      layout(
        barmode = 'stack'
      ) %>%
      highlight()

    fig
  })

  output$gg = renderPlotly({
    fig = df %>%
      ggplot(aes(x = provider, y= utilization, fill = Type)) +
      geom_bar(stat = "identity", position = "stack")
    fig = ggplotly(fig) %>%
      highlight()

    fig
  })

}

shinyApp(ui = ui, server = server)
#> 
#> Listening on http://127.0.0.1:4992
#> Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

#> Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels
#> Setting the `off` event (i.e., 'plotly_doubleclick') to match the `on` event (i.e., 'plotly_click'). You can change this default via the `highlight()` function.
#> Setting the `off` event (i.e., 'plotly_doubleclick') to match the `on` event (i.e., 'plotly_click'). You can change this default via the `highlight()` function.
#> Setting the `off` event (i.e., 'plotly_doubleclick') to match the `on` event (i.e., 'plotly_click'). You can change this default via the `highlight()` function.
#> Setting the `off` event (i.e., 'plotly_doubleclick') to match the `on` event (i.e., 'plotly_click'). You can change this default via the `highlight()` function.

Created on 2022-05-19 by the reprex package (v2.0.1)

Session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.1.1 (2021-08-10)
#>  os       Ubuntu 20.04.3 LTS
#>  system   x86_64, linux-gnu
#>  ui       X11
#>  language (EN)
#>  collate  en_US.UTF-8
#>  ctype    en_US.UTF-8
#>  tz       Etc/UTC
#>  date     2022-05-19
#>  pandoc   2.14.0.3 @ /usr/lib/rstudio-server/bin/pandoc/ (via rmarkdown)
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package      * version    date (UTC) lib source
#>  assertthat     0.2.1      2019-03-21 [1] RSPM (R 4.1.0)
#>  bslib          0.3.1      2021-10-06 [1] RSPM (R 4.1.0)
#>  cachem         1.0.6      2021-08-19 [1] RSPM (R 4.1.0)
#>  callr          3.7.0      2021-04-20 [1] RSPM (R 4.1.0)
#>  cli            3.3.0      2022-04-25 [1] RSPM (R 4.1.0)
#>  colorspace     2.0-3      2022-02-21 [1] RSPM (R 4.1.0)
#>  crayon         1.5.1      2022-03-26 [1] RSPM (R 4.1.0)
#>  crosstalk    * 1.2.0      2021-11-04 [1] CRAN (R 4.1.1)
#>  curl           4.3.2      2021-06-23 [1] RSPM (R 4.1.0)
#>  data.table     1.14.2     2021-09-27 [1] RSPM (R 4.1.0)
#>  DBI            1.1.2      2021-12-20 [1] RSPM (R 4.1.0)
#>  digest         0.6.29     2021-12-01 [1] RSPM (R 4.1.0)
#>  dplyr        * 1.0.8      2022-02-08 [1] RSPM (R 4.1.0)
#>  ellipsis       0.3.2      2021-04-29 [1] RSPM (R 4.1.0)
#>  evaluate       0.15       2022-02-18 [1] RSPM (R 4.1.0)
#>  fansi          1.0.3      2022-03-24 [1] RSPM (R 4.1.0)
#>  farver         2.1.0      2021-02-28 [1] RSPM (R 4.1.0)
#>  fastmap        1.1.0      2021-01-25 [1] RSPM (R 4.1.0)
#>  fs             1.5.2      2021-12-08 [1] RSPM (R 4.1.0)
#>  generics       0.1.2      2022-01-31 [1] RSPM (R 4.1.0)
#>  ggplot2      * 3.3.5      2021-06-25 [1] RSPM (R 4.1.0)
#>  glue           1.6.2      2022-02-24 [1] RSPM (R 4.1.0)
#>  gtable         0.3.0      2019-03-25 [1] RSPM (R 4.1.0)
#>  highr          0.9        2021-04-16 [1] RSPM (R 4.1.0)
#>  htmltools      0.5.2      2021-08-25 [1] RSPM (R 4.1.0)
#>  htmlwidgets    1.5.4      2021-09-08 [1] RSPM (R 4.1.0)
#>  httpuv         1.6.5      2022-01-05 [1] RSPM (R 4.1.0)
#>  httr           1.4.2      2020-07-20 [1] RSPM (R 4.1.0)
#>  jquerylib      0.1.4      2021-04-26 [1] RSPM (R 4.1.0)
#>  jsonlite       1.8.0      2022-02-22 [1] RSPM (R 4.1.0)
#>  knitr          1.39       2022-04-26 [1] RSPM (R 4.1.0)
#>  labeling       0.4.2      2020-10-20 [1] RSPM (R 4.1.0)
#>  later          1.3.0      2021-08-18 [1] RSPM (R 4.1.0)
#>  lazyeval       0.2.2      2019-03-15 [1] CRAN (R 4.1.1)
#>  lifecycle      1.0.1      2021-09-24 [1] RSPM (R 4.1.0)
#>  magrittr       2.0.3      2022-03-30 [1] RSPM (R 4.1.0)
#>  mime           0.12       2021-09-28 [1] RSPM (R 4.1.0)
#>  munsell        0.5.0      2018-06-12 [1] RSPM (R 4.1.0)
#>  pillar         1.7.0      2022-02-01 [1] RSPM (R 4.1.0)
#>  pkgconfig      2.0.3      2019-09-22 [1] RSPM (R 4.1.0)
#>  plotly       * 4.10.0     2021-10-09 [1] CRAN (R 4.1.1)
#>  processx       3.5.3      2022-03-25 [1] RSPM (R 4.1.0)
#>  promises       1.2.0.1    2021-02-11 [1] RSPM (R 4.1.0)
#>  ps             1.7.0      2022-04-23 [1] RSPM (R 4.1.0)
#>  purrr          0.3.4      2020-04-17 [1] RSPM (R 4.1.0)
#>  R.cache        0.15.0     2021-04-30 [1] RSPM (R 4.1.0)
#>  R.methodsS3    1.8.1      2020-08-26 [1] RSPM (R 4.1.0)
#>  R.oo           1.24.0     2020-08-26 [1] RSPM (R 4.1.0)
#>  R.utils        2.11.0     2021-09-26 [1] RSPM (R 4.1.0)
#>  R6             2.5.1      2021-08-19 [1] RSPM (R 4.1.0)
#>  RColorBrewer   1.1-3      2022-04-03 [1] RSPM (R 4.1.0)
#>  Rcpp           1.0.8.3    2022-03-17 [1] RSPM (R 4.1.0)
#>  reprex         2.0.1      2021-08-05 [1] RSPM (R 4.1.0)
#>  rlang          1.0.2      2022-03-04 [1] RSPM (R 4.1.0)
#>  rmarkdown      2.14       2022-04-25 [1] RSPM (R 4.1.0)
#>  rstudioapi     0.13       2020-11-12 [1] RSPM (R 4.1.0)
#>  sass           0.4.1      2022-03-23 [1] RSPM (R 4.1.0)
#>  scales         1.2.0      2022-04-13 [1] RSPM (R 4.1.0)
#>  sessioninfo    1.2.2.9000 2022-04-08 [1] Github (r-lib/sessioninfo@27965c2)
#>  shiny        * 1.7.1      2021-10-02 [1] RSPM (R 4.1.0)
#>  stringi        1.7.6      2021-11-29 [1] RSPM (R 4.1.0)
#>  stringr        1.4.0      2019-02-10 [1] RSPM (R 4.1.0)
#>  styler         1.7.0      2022-03-13 [1] RSPM (R 4.1.0)
#>  tibble         3.1.6      2021-11-07 [1] RSPM (R 4.1.0)
#>  tidyr          1.2.0      2022-02-01 [1] RSPM (R 4.1.0)
#>  tidyselect     1.1.2      2022-02-21 [1] RSPM (R 4.1.0)
#>  utf8           1.2.2      2021-07-24 [1] RSPM (R 4.1.0)
#>  vctrs          0.4.1      2022-04-13 [1] RSPM (R 4.1.0)
#>  viridisLite    0.4.0      2021-04-13 [1] RSPM (R 4.1.0)
#>  webshot        0.5.2      2019-11-22 [1] RSPM (R 4.1.0)
#>  withr          2.5.0      2022-03-03 [1] RSPM (R 4.1.0)
#>  xfun           0.30       2022-03-02 [1] RSPM (R 4.1.0)
#>  xml2           1.3.3      2021-11-30 [1] RSPM (R 4.1.0)
#>  xtable         1.8-4      2019-04-21 [1] RSPM (R 4.1.0)
#>  yaml           2.3.5      2022-02-21 [1] RSPM (R 4.1.0)
#> 
#>  [1] /usr/local/lib/R/site-library
#>  [2] /usr/local/lib/R/library
#> 
#> ──────────────────────────────────────────────────────────────────────────────

Just Plotly Example:

library(shiny)
library(crosstalk)
#> 
#> Attaching package: 'crosstalk'
#> The following object is masked from 'package:shiny':
#> 
#>     getDefaultReactiveDomain
library(plotly)
#> Loading required package: ggplot2
#> 
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#> 
#>     last_plot
#> The following object is masked from 'package:stats':
#> 
#>     filter
#> The following object is masked from 'package:graphics':
#> 
#>     layout
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(ggplot2)

# fake names
df = tibble::tribble(
  ~provider, ~n_total_visit,      ~Type, ~n_visit,
  "Dr. Robert Lyons",           315L,  "No Show",     142L,
  "Dr. Robert Lyons",           315L, "Occurred",     175L,
  "Dr. Alexander Augustine",           336L,  "No Show",     122L,
  "Dr. Alexander Augustine",           336L, "Occurred",     217L,
  "Dr. Alisia Valenzuela",           308L,  "No Show",     102L,
  "Dr. Alisia Valenzuela",           308L, "Occurred",     215L
)
df = df %>%
  mutate(utilization = n_visit / n_total_visit)
df = df %>%
  select(provider, utilization, Type) %>%
  mutate(Type = factor(Type, levels = c("Occurred", "No Show")))

df = crosstalk::SharedData$new(df, key = ~ provider)

fig = df %>%
  plot_ly(
    x = ~ provider,
    y = ~ utilization,
    color = ~ Type,
    type = "bar"
  ) %>%
  layout(
    barmode = 'stack'
  ) %>%
  highlight()

Created on 2022-05-19 by the reprex package (v2.0.1)

Session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.1.1 (2021-08-10)
#>  os       Ubuntu 20.04.3 LTS
#>  system   x86_64, linux-gnu
#>  ui       X11
#>  language (EN)
#>  collate  en_US.UTF-8
#>  ctype    en_US.UTF-8
#>  tz       Etc/UTC
#>  date     2022-05-19
#>  pandoc   2.14.0.3 @ /usr/lib/rstudio-server/bin/pandoc/ (via rmarkdown)
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version    date (UTC) lib source
#>  assertthat    0.2.1      2019-03-21 [1] RSPM (R 4.1.0)
#>  cli           3.3.0      2022-04-25 [1] RSPM (R 4.1.0)
#>  colorspace    2.0-3      2022-02-21 [1] RSPM (R 4.1.0)
#>  crayon        1.5.1      2022-03-26 [1] RSPM (R 4.1.0)
#>  crosstalk   * 1.2.0      2021-11-04 [1] CRAN (R 4.1.1)
#>  data.table    1.14.2     2021-09-27 [1] RSPM (R 4.1.0)
#>  DBI           1.1.2      2021-12-20 [1] RSPM (R 4.1.0)
#>  digest        0.6.29     2021-12-01 [1] RSPM (R 4.1.0)
#>  dplyr       * 1.0.8      2022-02-08 [1] RSPM (R 4.1.0)
#>  ellipsis      0.3.2      2021-04-29 [1] RSPM (R 4.1.0)
#>  evaluate      0.15       2022-02-18 [1] RSPM (R 4.1.0)
#>  fansi         1.0.3      2022-03-24 [1] RSPM (R 4.1.0)
#>  fastmap       1.1.0      2021-01-25 [1] RSPM (R 4.1.0)
#>  fs            1.5.2      2021-12-08 [1] RSPM (R 4.1.0)
#>  generics      0.1.2      2022-01-31 [1] RSPM (R 4.1.0)
#>  ggplot2     * 3.3.5      2021-06-25 [1] RSPM (R 4.1.0)
#>  glue          1.6.2      2022-02-24 [1] RSPM (R 4.1.0)
#>  gtable        0.3.0      2019-03-25 [1] RSPM (R 4.1.0)
#>  highr         0.9        2021-04-16 [1] RSPM (R 4.1.0)
#>  htmltools     0.5.2      2021-08-25 [1] RSPM (R 4.1.0)
#>  htmlwidgets   1.5.4      2021-09-08 [1] RSPM (R 4.1.0)
#>  httpuv        1.6.5      2022-01-05 [1] RSPM (R 4.1.0)
#>  httr          1.4.2      2020-07-20 [1] RSPM (R 4.1.0)
#>  jsonlite      1.8.0      2022-02-22 [1] RSPM (R 4.1.0)
#>  knitr         1.39       2022-04-26 [1] RSPM (R 4.1.0)
#>  later         1.3.0      2021-08-18 [1] RSPM (R 4.1.0)
#>  lazyeval      0.2.2      2019-03-15 [1] CRAN (R 4.1.1)
#>  lifecycle     1.0.1      2021-09-24 [1] RSPM (R 4.1.0)
#>  magrittr      2.0.3      2022-03-30 [1] RSPM (R 4.1.0)
#>  mime          0.12       2021-09-28 [1] RSPM (R 4.1.0)
#>  munsell       0.5.0      2018-06-12 [1] RSPM (R 4.1.0)
#>  pillar        1.7.0      2022-02-01 [1] RSPM (R 4.1.0)
#>  pkgconfig     2.0.3      2019-09-22 [1] RSPM (R 4.1.0)
#>  plotly      * 4.10.0     2021-10-09 [1] CRAN (R 4.1.1)
#>  promises      1.2.0.1    2021-02-11 [1] RSPM (R 4.1.0)
#>  purrr         0.3.4      2020-04-17 [1] RSPM (R 4.1.0)
#>  R.cache       0.15.0     2021-04-30 [1] RSPM (R 4.1.0)
#>  R.methodsS3   1.8.1      2020-08-26 [1] RSPM (R 4.1.0)
#>  R.oo          1.24.0     2020-08-26 [1] RSPM (R 4.1.0)
#>  R.utils       2.11.0     2021-09-26 [1] RSPM (R 4.1.0)
#>  R6            2.5.1      2021-08-19 [1] RSPM (R 4.1.0)
#>  Rcpp          1.0.8.3    2022-03-17 [1] RSPM (R 4.1.0)
#>  reprex        2.0.1      2021-08-05 [1] RSPM (R 4.1.0)
#>  rlang         1.0.2      2022-03-04 [1] RSPM (R 4.1.0)
#>  rmarkdown     2.14       2022-04-25 [1] RSPM (R 4.1.0)
#>  rstudioapi    0.13       2020-11-12 [1] RSPM (R 4.1.0)
#>  scales        1.2.0      2022-04-13 [1] RSPM (R 4.1.0)
#>  sessioninfo   1.2.2.9000 2022-04-08 [1] Github (r-lib/sessioninfo@27965c2)
#>  shiny       * 1.7.1      2021-10-02 [1] RSPM (R 4.1.0)
#>  stringi       1.7.6      2021-11-29 [1] RSPM (R 4.1.0)
#>  stringr       1.4.0      2019-02-10 [1] RSPM (R 4.1.0)
#>  styler        1.7.0      2022-03-13 [1] RSPM (R 4.1.0)
#>  tibble        3.1.6      2021-11-07 [1] RSPM (R 4.1.0)
#>  tidyr         1.2.0      2022-02-01 [1] RSPM (R 4.1.0)
#>  tidyselect    1.1.2      2022-02-21 [1] RSPM (R 4.1.0)
#>  utf8          1.2.2      2021-07-24 [1] RSPM (R 4.1.0)
#>  vctrs         0.4.1      2022-04-13 [1] RSPM (R 4.1.0)
#>  viridisLite   0.4.0      2021-04-13 [1] RSPM (R 4.1.0)
#>  withr         2.5.0      2022-03-03 [1] RSPM (R 4.1.0)
#>  xfun          0.30       2022-03-02 [1] RSPM (R 4.1.0)
#>  xtable        1.8-4      2019-04-21 [1] RSPM (R 4.1.0)
#>  yaml          2.3.5      2022-02-21 [1] RSPM (R 4.1.0)
#> 
#>  [1] /usr/local/lib/R/site-library
#>  [2] /usr/local/lib/R/library
#> 
#> ──────────────────────────────────────────────────────────────────────────────

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 Shiny and standalone Plotly examples, focusing on the plot_ly bar chart with barmode = 'stack' and highlight(). Compare the selected chart with the expected highlight behavior shown in the screenshots; done means clicking a bar highlights it without adding or stacking extra bars, in both examples.

Written by the indexing model from the issue text.

Assessment

Tech stack
plotly, r
Domain
data-visualization
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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