Data Products - Reproducible Pitch

astaines
1/3/2018

Overview

This tool for exploring the Iris dataset was built for the Coursera Course Developing Data Products as part of the Data Science Specialization. The project was intended to test the following competencies:

Ability to build a shiny web application
Ability to build an R markdown presentation

Data

summary(iris)

  Sepal.Length    Sepal.Width     Petal.Length    Petal.Width   
 Min.   :4.300   Min.   :2.000   Min.   :1.000   Min.   :0.100  
 1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600   1st Qu.:0.300  
 Median :5.800   Median :3.000   Median :4.350   Median :1.300  
 Mean   :5.843   Mean   :3.057   Mean   :3.758   Mean   :1.199  
 3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100   3rd Qu.:1.800  
 Max.   :7.900   Max.   :4.400   Max.   :6.900   Max.   :2.500  
       Species  
 setosa    :50  
 versicolor:50  
 virginica :50

Sepal Length & Width by Species

library(ggplot2)
g <- ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width))+
  geom_point(aes(color=Species))+
  xlab("Sepal Length")+
  ylab("Sepal Width")
g

plot of chunk unnamed-chunk-2

Petal Length & Width by Species

g <- ggplot(iris, aes(x=Petal.Length, y=Petal.Width))+
  geom_point(aes(color=Species))+
  xlab("Petal Length")+
  ylab("Petal Width")
g

plot of chunk unnamed-chunk-3

Application

The shiny application developed for this assignment is available at: https://astaines.shinyapps.io/Data_Products_Shiny_Application/

The source codes of ui.R and server.R available on GitHub repo at: https://github.com/staineai/Developing-Data-Products-Shiny-Application-Reproducible-Pitch