plotly / plotly/plotly.R

Shiny/crosstalk barchart highlight adds bards

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Mô tả

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

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Bắt đầu từ đâu

  1. Đọc hết issue, rồi đọc hướng dẫn đóng góp của dự án.
  2. Bình luận trên issue rằng bạn sẽ nhận — tránh hai người làm cùng một việc.
  3. Fork repository và làm thay đổi trên một nhánh.
  4. Mở pull request có tham chiếu số hiệu của issue.

Hướng nghiên cứu

Bắt đầu bằng cách chạy các ví dụ Shiny và Plotly độc lập được cung cấp, tập trung vào biểu đồ cột plot_ly với barmode = 'stack' và highlight(). So sánh biểu đồ đã chọn với hành vi highlight mong đợi được thể hiện trong các ảnh chụp màn hình; được xem là hoàn tất khi việc nhấp vào một cột làm nổi bật cột đó mà không thêm hoặc xếp chồng các cột bổ sung, trong cả hai ví dụ.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.

Đánh giá

Công nghệ
plotly, r
Lĩnh vực
data-visualization
Loại issue
Lỗi
Độ khó
4/5
Thời gian dự kiến
3-5 ngày
Mức độ hoạt động
Đình trệ
Độ rõ ràng
Khá rõ ràng
Mức phù hợp với người mới
35/100

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