plotly

Here is my code for a basic shiny app using plotly_click event to optionally show another plot. I would like that side box plot to render in a modal pop up instead of on the side within the page. library(shiny) library(plotly) df1 <- data.frame(x = 1:10, y = 1:10) df2 <- data.frame(x = c(rep('a', 10), rep('b', 10)), y = c(rnorm(10), rnorm(10, 3, 1))) ui <- fluidPage( column(6, plotlyOutput('scatter')), column(6, plotlyOutput('box')) ) server <- function(input, output) { output$scatter <- renderPlotly({ plot_ly(df1, x = x, y = y, mode = 'markers', source = 'scatter') }) output$box <-

I know this question has been asked a number of times but I think some of the underlying syntax for plotly has changed since those questions have been asked. Using ggplotly() to create a choropleth map gives the default tooltip of long, lat, group, and one of my variables from my aesthetics. I understand that tooltip maps only whats in the aesthetics. All I want to do is to customize the tooltip so it displays some of the variables in my dataset (including those not mapped to aesthetics) and not others (such as the coordinates). Below is a reproducible example and what I've tried so far. I

I have successfully installed the plotly library for R. To get started, I followed their Getting Started for R guide and directly copied the code from several plots in my RStudio Version 0.99.489. The examples for scatterplots, box plots, etc. work well. The examples for bubble and choropleth maps do not plot properly. The maps do not render at all. Only title and legend show after running the code. Links to the code are here: https://plot.ly/r/bubble-maps/ https://plot.ly/r/choropleth-maps/ Can anyone help? Thanks in advance. EDIT: Tools: Plotly Library 2.016 for R R Studio Version 0.99.489 R

I've been trying to make a grid of subplots with custom size with Plotly(version 1.12.9) in Jupyter notebook(offline). There is nice examples in the Plotly website but all of them are with scattered plots. I modified one of them to make it look like the one I want to and it works with scatter plots: import plotly import plotly.offline as py import plotly.graph_objs as go py.init_notebook_mode(connected=True) labels = ['Oxygen','Hydrogen','Carbon_Dioxide','Nitrogen'] values = [4500,2500,1053,500] trace0 = go.Scatter(x=[1, 2], y=[1, 2]) trace1 = go.Scatter(x=[1, 2], y=[1, 2]) trace2 = go.Scatter

Okay so i have the following code: var element = document.getElementById(scope.changeid); function getData(division,redraw) { var employeeData = []; if (!division) { $http.get(api.getUrl('competenceUserAverageByMyDivisions', null)).success(function (response) { processData(response,redraw); }); } else { $http.get(api.getUrl('competenceUserAverageByDivision', division)).success(function (response) { processData(response,redraw); }) } } function processData(data,redraw) { var y = [], x1 = [], x2 = []; data.forEach(function (item) { y.push(item.user.profile.firstname); x1.push(item.current_level)