Shiny/crosstalk barchart highlight adds bards
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Beschreibung
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
#>
#> ──────────────────────────────────────────────────────────────────────────────
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Beginnen Sie damit, die bereitgestellten Shiny- und eigenständigen Plotly-Beispiele auszuführen, wobei Sie sich auf das plot_ly-Balkendiagramm mit barmode = 'stack' und highlight() konzentrieren. Vergleichen Sie das ausgewählte Diagramm mit dem in den Screenshots gezeigten erwarteten Highlight-Verhalten; als erledigt gilt, wenn durch Klicken auf einen Balken dieser hervorgehoben wird, ohne dass in beiden Beispielen zusätzliche Balken hinzugefügt oder gestapelt werden.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- plotly, r
- Bereich
- data-visualization
- Issue-Typ
- Bug
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Größtenteils klar
- Anfängerfreundlichkeit
- 35/100