plotly / plotly/plotly.R

Shiny/crosstalk barchart highlight adds bards

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Descrição

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
#> 
#> ──────────────────────────────────────────────────────────────────────────────

Guia de contribuição

Abrir o guia de contribuição

Primeiros passos

  1. Leia a issue inteira e depois o guia de contribuição do projeto.
  2. Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

Direção de pesquisa

Comece executando os exemplos fornecidos de Shiny e Plotly standalone, concentrando-se no gráfico de barras plot_ly com barmode = 'stack' e highlight(). Compare o gráfico selecionado com o comportamento esperado de highlight mostrado nas capturas de tela; considera-se concluído quando clicar em uma barra a destaca sem adicionar ou empilhar barras extras, em ambos os exemplos.

Escrita pelo modelo de indexação a partir do texto da issue.

Avaliação

Stack de tecnologia
plotly, r
Domínio
data-visualization
Tipo de issue
Bug
Dificuldade
4/5
Tempo estimado
3-5 dias
Status de atividade
Estagnada
Clareza
Razoavelmente clara
Facilidade para iniciantes
35/100

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