Add jitter to box plot using markers in plotly

plot_ly(test, x=Group, y=Numbers, mode="markers",
    marker = list(size = Days, sizeref = 0.15))

plot_ly(test, x=Group, y=Numbers, mode="markers", 
    marker = list(size = Days/2, sizeref = 0.1))

plot_ly(test, x=Group, y=Numbers, size = Days, mode="markers",
    marker = list(sizeref = 2.5)) # Days data in the hoverinfo with this method

plot_ly(test, x=Group, y=Numbers, mode="markers",
    marker = list(size = Days, sizeref = 0.15),
    hoverinfo = "text", 
    text = paste0("(", Group, ", ", Numbers, ")<br>", "Days (size): ", Days))

library(plotly)
##I added the text argument(hover over text) so that I could make sure
##that the yaxis labels matched the points. feel free to delete.
p <- plot_ly(x = mtcars$mpg, y = seq_along(rownames(mtcars)), text=rownames(mtcars),
             type = 'scatter', mode = 'markers')

##This sets some attributes for the yaxis. Note: in your origianl plot every other
##car name was shown on the y-axis so that is what I recreated but you could remove
##the "seq(1,32, by=2)" to show all car names.
ax <- list(
  title = "",
  ticktext = rownames(mtcars)[seq(1,32, by=2)],
  tickvals = seq(1,32, by=2)
)

##This is taken from the plotly help page. y0 and y1 now are set to equal the row
##number and x0 and x1 are +/-1 from the car's mpg    
line <- list(
  type = "line",
  line = list(color = "pink"),
  xref = "x",
  yref = "y"
)

lines <- list()
for (i in seq_along(rownames(mtcars))) {
  line[["x0"]] <- mtcars$mpg[i] - 1
  line[["x1"]] <- mtcars$mpg[i] + 1
  line[c("y0", "y1")] <- i
  lines <- c(lines, list(line))
}

p <- layout(p, title = 'Highlighting with Lines', shapes = lines, yaxis=ax)
p

ax2 <- list(
  title = "", ticktext = paste0('<span style="text-decoration: underline;">', 
                                rownames(mtcars)[1:32 %% 2 ==0],"</span>"),
  tickvals = seq(1,32, by=2), style=list(textDecoration="underline"))

library(dplyr)
library(ggplot2)
library(plotly)

dat <- data.frame(xval = sample(100,1000,replace = TRUE),
              group1 = as.factor(sample(c("a","b","c"),1000,replace = TRUE)),
              group2 = as.factor(sample(c("g1","g2","g3","g4"),1000, replace = TRUE)))

p <- dat %>% ggplot(aes(x=group2, y=xval, fill=group1)) + 
              geom_boxplot() + geom_jitter() + facet_grid(~group2)

ggplotly(p) %>% layout(boxmode = 'group')

library(plotly)
library(shiny)
library(htmlwidgets)
library(colourpicker)
library(shinyjs)

jsCode <- "shinyjs.changelegend = function(){
var paths = d3.select('#plot1').
select('.legend').
select('.scrollbox').
selectAll('.traces').
select('.scatterpts')
.attr('d','M8,0A8,8 0 1,1 0,-8A8,8 0 0,1 8,0Z');}"

ui <- fluidPage(
  tags$script(src = "https://d3js.org/d3.v4.min.js"),
  useShinyjs(),
  extendShinyjs(text = jsCode),
  fluidRow(
    column(8,
           plotlyOutput("plot1")
    ),
    column(2,
           colourpicker::colourInput(inputId = 'markercolor', label = 'X',
                                     palette = "limited", 
                                     showColour = "background", returnName = TRUE),
           selectInput(inputId = 'traceNo', label = 'Trace', choices = c(1:3), selected = 1),
           br(),
           h5('Switch'),
           actionButton(inputId = 'Switch', label = icon('refresh'), style = "color: #f7ad6e;   background-color: white;  border-color: #f7ad6e;
                        height: 40px; width: 40px; border-radius: 6px;  border-width: 2px; text-align: center;  line-height: 50%; padding: 0px; display:block; margin: 2px")
           )
    ),
  tags$div(id = "test")
  )

server <- function(input, output, session) {
  # values <- reactiveValues()


  observeEvent(input$Switch, { 
    plotlyProxy("plot1", session) %>%
      plotlyProxyInvoke("restyle", list(marker = list(color = input$markercolor)), list(as.numeric(input$traceNo)-1))
  })

  observeEvent(input$Switch,{
    js$changelegend()
  })

  output$plot1 <- renderPlotly({
    markersize <- 4
    markerlegendsize <- 20
    colors <- c('red', 'blue', 'black')
    p1 <- plot_ly()
    p1 <-  add_trace(p1, data = mtcars, x = ~disp, y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
    p1 <- layout(p1, title = 'mtcars group by cyl with switching colors')
    p1 <- plotly_build(p1)

    # this is a bit of a hack to change the size of the legend markers to not be equal to the plot marker size.
    # it makes a list of 1 size value for each marker in de trace in the plot, and another half of with sizes that are a lot bigger.
    # the legend marker size is effectively the average size of all markers of a trace
    for(i in seq(1, length(sort(unique(mtcars$cyl) )))) {
      length.group <- nrow(mtcars[which(mtcars$cyl  == sort(unique(mtcars$cyl))[i]), ])
      p1$x$data[[i]]$marker$size <- c(rep(markersize,length.group), rep(c(-markersize+2*markerlegendsize), length.group))
    }
    return(p1)
  })

}

shinyApp(ui, server)

trace1 = Scatter(
    x=x1,           # x-coordinates of trace
    y=y1,          # y-coordinates of trace
    mode='markers + text',   # scatter mode (more in UG section 1)
    text = label1, textposition='top center',
    marker = dict(size = 15, color = color_3, symbol = 'cross'), # Add symbol here!
     textfont=dict(
        color='black',
        size=18,
        family='Times New Roman'
     )