Chapter 15 Building a Shiny app to upload and visualize spatio-temporal data. In this chapter we show how to build a Shiny web application to upload and visualize spatio-temporal data (Chang et al. ).The app allows to upload a shapefile with a map of a region, and a CSV file with the number of disease cases and population in each of the areas in which the region is divided. · A use-case for shiny modules. Plotly comes with a built-in download option for every plot, but what if you would like to provide a similar functionality to multiple ggplot2 plots in your shiny app? I will show you that with modules you can simplify the code. · Downloading data and plot is an important part of a shiny app when it comes to sharing the relevant data or plot as part of another presentation or analysis.
The shiny library and relevant data is first loaded; We define the server for the Shiny app as something with both objects that are input (from the ui.R) and output (from the server.R) We create a reactive Shiny plot that is output from server.R to ui.R with the function renderPlot. There are various libraries both in R (Shiny) and Python (Plotly Dash, Streamlit, Wave, etc.) to build data apps. In this article, we will explore how R shiny can be used to build an application which lets user split the dataset into train/test, build multiple models, generate model metrics, visualize the result and make the decision on the fly. Here is a very basic example of a Shiny app with an output that generates a plot and sends it with renderImage(): server.R shinyServer (function (input, output, session) { output $ myImage <- renderImage ({ # A temp file to save the output.
Value. A plot or image output element that can be included in a panel. Note. The arguments clickId and hoverId only work for R base graphics (see the graphics package). They do not work for grid-based graphics, such as ggplot2, lattice, and so on. A use-case for shiny modules. Plotly comes with a built-in download option for every plot, but what if you would like to provide a similar functionality to multiple ggplot2 plots in your shiny app? I will show you that with modules you can simplify the code. I'm building a shiny app which initially will have 4 tabs, each with different plots. I'd like to give the user the option to download the plots as png or jpg files. Can't seem to get this working, as I can't really pass "file" to png() or jpg().
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