R Markdown

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Including Plots

You can also embed plots, for example:

Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.

library(shiny) library(tidyverse)

Import Data

dat <- read_csv(“/mnt/data/3nwNdQZyT-S8DXUGcp_ktQ_f03ef50b3f2b4f30a44215b5acd7d4f8_cces_sample_coursera (1).csv”) dat <- dat %>% select(c(“pid7”, “ideo5”)) dat <- drop_na(dat)

UI

ui <- fluidPage( titlePanel(“Party Membership Distribution”), sidebarLayout( sidebarPanel( sliderInput(“ideoInput”, “Ideology (1=Very Liberal, 5=Very Conservative):”, min = 1, max = 5, value = c(1, 5)) ), mainPanel( plotOutput(“distPlot”) ) ) )

Server

server <- function(input, output) { filteredData <- reactive({ dat %>% filter(ideo5 >= input\(ideoInput[1], ideo5 <= input\)ideoInput[2]) })

output$distPlot <- renderPlot({ ggplot(filteredData(), aes(x = pid7)) + geom_bar() + labs(x = “Party Identification”, y = “Count”, title = “Distribution of Party Membership by Ideology”) + scale_x_continuous(breaks = 1:7, labels = c(“Strong Democrat”, “Not very strong Democrat”, “Lean Democrat”, “Independent”, “Lean Republican”, “Not very strong Republican”, “Strong Republican”)) }) }

Run the application

shinyApp(ui = ui, server = server)