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Add an interactive chart to a brilliant one using the HTML UI (index.html)

I see ggvis, rCharts, etc. fit into the design of server.r + ui.r. Now I am trying to create an HTML interface, but I cannot find any hints about transferring an interactive diagram to the HTML user interface. Any clues?

Study for ggvis, rCharts, NBD3. Not investigated for the plot. Avoid googleVis.

A similar question was asked before, Evan Farrell, but without an answer - https://groups.google.com/forum/#!topic/ggvis/GsZQRl3VOZ4

Edit: Do they need bindings? Any simpler alternatives? I thought the output would be handled by Javascript SVG, is it possible for the libraries to be included manually and the SVG just bound to the div element?

Edit 2: Can I transfer my dataset to the user interface and build a D3 graph in index.html itself

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You can find examples here , such as brilliant with ggvis:

library(shiny) library(ggvis) runApp(list( ui={ library(ggvis) shinyUI(pageWithSidebar( div(), sidebarPanel( sliderInput("n", "Number of points", min = 1, max = nrow(mtcars), value = 10, step = 1), uiOutput("plot_ui") ), mainPanel( htmlOutput("ggvis_plot"), tableOutput("mtc_table") ) )) }, server={ library(ggvis) shinyServer(function(input, output, session) { output$ggvis_plot <- renderUI({ ggvisOutput("plot1") }) # A reactive subset of mtcars mtc <- reactive({ mtcars[1:input$n, ] }) # A simple visualisation. In shiny apps, need to register observers # and tell shiny where to put the controls mtc %>% ggvis(~wt, ~mpg) %>% layer_points() %>% bind_shiny("plot1") output$mtc_table <- renderTable({ mtc()[, c("wt", "mpg")] }) }) } ))

To convert it to html-UI, a brilliant project, you will need to create a directory with the following structure (as described here , as indicated by hvollmeier ):

 <shinnyappName> |-- www |-- index.html |-- server.R

The server side will remain the same. For our example, the index.html part will look something like this:

 <!DOCTYPE html> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/> <script type="application/shiny-singletons"></script> <script type="application/html-dependencies">json2[2014.02.04];jquery[1.11.0];shiny[0.11.1];ionrangeslider[2.0.2];bootstrap[3.3.1]</script> <script src="shared/json2-min.js"></script> <script src="shared/jquery.min.js"></script> <link href="shared/shiny.css" rel="stylesheet" /> <script src="shared/shiny.min.js"></script> <link href="shared/ionrangeslider/css/normalize.css" rel="stylesheet" /> <link href="shared/ionrangeslider/css/ion.rangeSlider.css" rel="stylesheet" /> <link href="shared/ionrangeslider/css/ion.rangeSlider.skinShiny.css" rel="stylesheet" /> <script src="shared/ionrangeslider/js/ion.rangeSlider.min.js"></script> <meta name="viewport" content="width=device-width, initial-scale=1" /> <link href="shared/bootstrap/css/bootstrap.min.css" rel="stylesheet" /> <script src="shared/bootstrap/js/bootstrap.min.js"></script> <script src="shared/bootstrap/shim/html5shiv.min.js"></script> <script src="shared/bootstrap/shim/respond.min.js"></script> </head> <body> <div class="container-fluid"> <div class="row"> <div></div> </div> <div class="row"> <div class="col-sm-4"> <form class="well"> <div class="form-group shiny-input-container"> <label class="control-label" for="n">Number of points</label> <input class="js-range-slider" id="n" data-min="1" data-max="32" data-from="10" data-step="1" data-grid="true" data-grid-num="7.75" data-grid-snap="false" data-prettify-separator="," data-keyboard="true" data-keyboard-step="3.2258064516129"/> </div> <div id="plot_ui" class="shiny-html-output"></div> </form> </div> <div class="col-sm-8"> <div id="ggvis_plot" class="shiny-html-output"></div> <div id="mtc_table" class="shiny-html-output"></div> </div> </div> </div> </body> </html>

What you should write or you can get if you save the html page generated by shinyUI as index.html, and change it to your needs, as well as delete all unnecessary and unwanted ones.

  library(shiny) runApp("<shinyAppName>")
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You can use Shiny, ggplot2 and Plotly to create interactive web graphs. Graphs are displayed using D3.js and can be embedded in HTML .

In general, this means that you have two options. First, generate a Shiny app with interactive charts and embed the entire app. Secondly, create interactive graphics from the Shiny application or using ggplot2 , and then paste this number.

For code and explanation for creating interactive graphs using Shiny, see this tutorial . This approach allows you to do interactive graphs as follows:



enter image description here

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Source: https://habr.com/ru/post/1213414/

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