Extra Credit

Due November 13th

Please publish your web-application using Shinyapps.io, using the publish button on R Studio.  You’ll needed to create a default account at http://www.shinyapps.io/.

Example dataset: https://github.com/davcraig75/midterm/raw/main/data.tar.gz 

• Level 1: Build a Shiny.io App using Geiser demo (5 points)
• Level 2: Build a Shiny.io Data explorer from Part A below (+5 points)
• Level 3: Build a Shiny.io Data explorer Using Part B Below (+10 points)
• Level 4: Allow uploading of a dataset (+20 points) * hard

BUILDING A DATA EXPLORER

Part A: Starting Template

#  The data
library(ggplot2)
library(shiny)
library(RColorBrewer)

dataset <- read.csv('~/trgn510/sample_info.csv',header = TRUE, sep = ",", quote = "\"", dec = ".", fill = TRUE, row.names = 1)
headerNames=colnames(dataset)

ui <- fluidPage(
  pageWithSidebar(
    
    headerPanel("Data Explorer"),
    
    sidebarPanel(
      selectInput('x', 'X', c("None"=FALSE,headerNames),headerNames[2]),
      selectInput('y', 'Y', c("None"=FALSE,headerNames),headerNames[3]),
      selectInput('fill', 'Fill', c("None"=FALSE,headerNames),headerNames[5]),
      
      checkboxInput('geom_point', 'geom_point',TRUE)
    ),
    
    mainPanel(
      plotOutput('plot')
    )
  )
)

# Define server logic required to draw a histogram
server <- function(input, output) {
  
  
  output$plot <- renderPlot({
    p <- ggplot(dataset, aes_string(
      x=input$x, fill=input$fill))
    if (input$geom_point)
      p <- p + geom_point(aes_string(y=input$y)) 
    print(p)
    
  }, height=700)
  
}

# Run the application 
shinyApp(ui = ui, server = server)

Please make the necessary changes to get working within your development environment of R Studio

Please modify the code to add a size aesthetic (e.g. adding an option from select input, and an additional size aesthetic), such that it looks like below (link below uses a different dataset):

https://foundinpd.shinyapps.io/explorer/ 

Part B: Understanding Pivoting.

Please add inputs to allow us to facet or pivot the data.  In the UI, add the following code:

selectInput('facet_row', 'Facet Row', c(None='.', headerNames)),
selectInput('facet_col', 'Facet Column', c(None='.', headerNames)),

In the server add the following code before the print(p):

facets <- paste(input$facet_row, '~', input$facet_col)
if (facets != '. ~ .')
  p <- p + facet_grid(facets)

You should have two new options, explore what pivoting does.  Modify the code to only allow choices that are factors to the facet

Adding more types of graphs

Add dot plots by adding the following to the UI.

checkboxInput('geom_dotplot', 'geom_dotplot'),
checkboxInput('geom_bar', 'geom_bar'),

and the following to the server

if (input$geom_bar)
    p <- p + geom_bar() 
# geom_dotplot doesn't requires an y input
if (input$geom_dotplot)
    p <- p + geom_dotplot()

Modify code to add a violin option

Modify code to add a geom_violin option

Modify code to add a geom_histogram option

Modify code to add a geom_density_2d option

Modify code to add a geom_bin2d option

Add capabilities to do polar coordinates, and verify that it works.