Developing Data Products Project: Election Year Trendings

• Project requirements: This peer assessed assignment has two parts. First, you will create a Shiny application and deploy it on Rstudio’s servers. Second, you will use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about your application.

• Background for this shiny app: Presidential elections occur quadrennially with registered voters casting their ballots on Election Day, which since 1845 has been the first Tuesday after November 1. We are going to see the election results on each year by different states. For convenience, we only include the results for democrat and republican. You can:

1. Select a state to see the election year trending there.
2. Select a year to see the results in that year.

Links for Shiny Application

The ui.R and server.R are the code for the shiny application:

• The shiny application is deployed on ShinyApps.io server at: https://dora-dongying.shinyapps.io/developingdataproducts_project/
  
• Git repository at: https://github.com/Dora-dongying/DevelopingDataProducts_Project

Git repository files

The repository consists of three final files:

• ui.R
  
• server.R
  
• documentation.rmd

Data File:

• president-1976-2016.csv

Results example

## Warning: replacing previous import 'vctrs::data_frame' by 'tibble::data_frame'
## when loading 'dplyr'

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union