Shiny/crosstalk barchart highlight adds bards
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Descripción
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
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
#>
#> ──────────────────────────────────────────────────────────────────────────────
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Empieza ejecutando los ejemplos proporcionados de Shiny y Plotly independiente, centrándote en el gráfico de barras plot_ly con barmode = 'stack' y highlight(). Compara el gráfico seleccionado con el comportamiento esperado de highlight mostrado en las capturas de pantalla; se considera terminado cuando hacer clic en una barra la resalta sin añadir ni apilar barras adicionales, en ambos ejemplos.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- plotly, r
- Área
- data-visualization
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 35/100