shiny project presentation

Sarah Shikangah
7/1/2017

Introduction to Wine App

An interactive application featuring the use of Shiny to present statistical data visualization and analysis of the effect of ingredients to the quality outcome of the wine. By use of drop down menu, a usser can select individual ingredient to evaluate the relationship with quality. A statistical logistic regression of all the variables(ingredients) is also provided under the tab summary.

### Required packages

## Get data, Clean and subset

library(rsconnect)
library(shiny)
dat <- read.csv("https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv", sep = ";")
dat$quality <- as.factor(dat$quality)
anyNA(dat)

[1] FALSE

Create an account on shinyapps.io

  • Will need signup
  • install rsconnect package and load; library(rsconnect). follow the steps provided on shiny account to finish setting up.
  • deployApp by clicking on publish app select shiny to connect.

Publication

  1. Shinyapps.io

https://smshikangah.shinyapps.io/Shinyapp-project/

  1. Github

https://github.com/Sshikangah/Shinyapp-project