Note that in sidebarPanel we need to write the function to generate the website link and the function to include the image separated with a comma. Below is the content of app. R we have until now. A snapshot of the Shiny app is shown in Figure Now we import the data we want to show in the app. The data is in the folder called data in the appdir directory. To read the CSV file data. We only need to read the data once so we write this code at the beginning of app.
R outside the server function. By doing this, the code is not unnecessarily run more than once and the performance of the app is not decreased. Now we show the data in the Shiny app by including several outputs for interactive visualization. The outputs are created using the following packages:. For example, to add a plot, we write in the ui plotOutput and in server renderPlot.
We show the data in data with an interactive table using the DT package. We show a time plot with the data with the dygraphs package. In ui we use dygraphOutput , and in server we use renderDygraph. We can create this type of object using the xts function of the xts package Ryan and Ulrich specifying the values and the dates. The dates in data are the years of column year. For now we choose to plot the values of the variable cases of data. We need to construct a xts object for each county and then put them together in an object called dataxts.
For each of the counties, we filter the data of the county and assign it to datacounty. Finally, we plot dataxts with dygraph , and use dyHighlight to allow mouse-over highlighting. We customize the legend so that only the name of the highlighted series is shown. To do this, one option is to write a css file with the instructions and pass the css file to the dyCSS function.
Alternatively, we can set the css directly in the code as follows:. We use the leaflet package to build an interactive map. In ui we use leafletOutput , and in server we use renderLeaflet.
Inside renderLeaflet we write the instructions to return a leaflet map. First, we need to add the data to the shapefile so the values can be plotted in a map. For now we choose to plot the values of the variable in We create a dataset called datafiltered with the data corresponding to that year.
Then we add datafiltered to map data in an order such that the counties in the data match the counties in the map. We create the leaflet map with the leaflet function, create a color palette with colorBin , and add a legend with addLegend. For now we choose to plot the values of variable cases. We also add labels with the area names and values that are displayed when the mouse is over the map. Now we add functionality that enables the user to select a specific variable and year to be shown.
Community Bot 1 1 1 silver badge. Add a comment. Active Oldest Votes. Improve this answer. Where does your zipped file live? Inside www folder or can it be in any folder? You would just need to provide the path to where you want it saved.
Thank you. To clarify, "out. Does this solution works locally for instance when running Shiny through R Studio or only in a production environment? In my case the HTML of the page is downloaded instead — gkoul. MarkeD MarkeD 2, 2 2 gold badges 15 15 silver badges 31 31 bronze badges. In today's digital world, you have all of the information right the. In the past people used to visit bookstores, local libraries or news vendors to purchase books and newspapers.
With digitalization many opt to use eBooks and pdfs rather than traditional books and papers. Public Pastes. Lua 8 min ago 1. HTML 5 11 min ago 2. Shiny has the ability to offer file downloads that are created on the fly, which makes it easy to build data exporting features. You define a download using the downloadHandler function on the server side, and either downloadButton or downloadLink in the UI:. As you can see, downloadHandler takes a filename argument, which tells the web browser what filename to default to when saving.
This argument can either be a simple string, or it can be a function that returns a string as is the case here. The content argument must be a function that takes a single argument, the file name of a non-existent temp file. The content function is responsible for writing the contents of the file download into that temp file. Provide your own content type string e. If you have questions about this article or would like to discuss ideas presented here, please post on RStudio Community.
Our developers monitor these forums and answer questions periodically. See help for more help with all things Shiny. Shiny from. Help users download data from your app Last Updated: 28 Jun See here for an example app with file downloads. The basic parts of a Shiny app. How to get help. App formats and launching apps. Introduction to R Markdown.
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