ggplot filter on shiny app

[williaml]

Hi, there are lots of examples of filtering in shiny apps on the forum and elsewhere. e.g.:

Reactive filtering and adding in shiny

Hi, First of all, thanks for generating a nice reprex with data and code available. The only thing you forgot was to add the necessary libraries, so I had to guess them I think I get what you wanted, so this is my solution: df <- read.csv('https://raw.githubusercontent.com/gooponyagrinch/sample_data/master/datasheet.csv') library(shiny) library(shinyWidgets) library(tidyverse) library(DT) ui <- fluidPage( fluidRow( column("", width = 10, offset = 1, tags$h3("Select Area"), panel( sliderInput("current", "Current Score", min = 0, max = 100, value = 20), sliderInput("projected", "Projec…

It will help if your example is reproducible too.

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…