prompter: Write R code to create a clickable dashboard for the analysis of csv based business data, which can be imported and then analysed visually. The dashboard should provide explanations of the analysis for lay persons
assistant: Here are the steps to create a clickable dashboard for the analysis of CSV based business data in R:

Install and load the Shiny package in R:
```
install.packages("shiny")
library(shiny)
Load the CSV file into R using the read.csv() function:
data <- read.csv("path/to/your/file.csv")
Define the user interface (UI) of the Shiny app using the ui.R file. The UI defines how the dashboard will look and feel:
ui <- fluidPage(
  titlePanel("Business Data Analysis Dashboard"),
  sidebarLayout(
    sidebarPanel(
      # Add input controls here
    ),
    mainPanel(
      # Add output visualizations here
    )
  )
)
```
Define the server logic of the Shiny app using the server.R file. The server defines how the dashboard will react to user inputs:
```
server <- function(input, output) {
  # Add server logic here
}
Add input controls and output visualizations to the UI and server logic. For example, to add a scatter plot to the dashboard:
ui <- fluidPage(
  titlePanel("Business Data Analysis Dashboard"),
  sidebarLayout(
    sidebarPanel(
      # Add input controls here
    ),
    mainPanel(
      plotOutput("scatterplot")
    )
  )
)

server <- function(input, output) {
  output$scatterplot <- renderPlot({
    # Add code to generate scatter plot here
  })
}
```
Add explanatory text to the dashboard using textOutput() and renderText(). For example:
```
ui <- fluidPage(
  titlePanel("Business Data Analysis Dashboard"),
  sidebarLayout(
    sidebarPanel(
      # Add input controls here
    ),
    mainPanel(
      plotOutput("scatterplot"),
      textOutput("explanation")
    )
  )
)

server <- function(input, output) {
  output$scatterplot <- renderPlot({
    # Add code to generate scatter plot here
  })
  
  output$explanation <- renderText({
    "This scatter plot shows the relationship between X and Y variables. The X variable is plotted on the horizontal axis and the Y variable is plotted on the vertical axis. Each point on the scatter plot represents one observation in the data."
  })
}
```
Run the app using the shinyApp() function:
shinyApp(ui = ui, server = server)
This will launch the Shiny app in your web browser. You can then import your CSV data and start analyzing it visually using the dashboard.
prompter: What is the 'shiny' package? What does it do?
assistant: The shiny package is an R package that makes it easy to build interactive web apps straight from R. It allows you to convert your R code into a web app that can be accessed by anyone with a web browser.
Some key features of Shiny include:

Dynamic user interfaces - the UI can change based on user input
Reactive programming - outputs reactively update whenever inputs change
Interactive visualizations - creates charts, graphs, maps, etc. that users can interact with
Ability to use R Markdown to create HTML pages with Shiny widgets
Easy to publish apps online
And more!

Shiny is a great way for R users to quickly create interactive data dashboards and applications without needing extensive web development knowledge. It allows you to turn analyses and visualizations in R into web apps that can be used by people who don't know R.