Developing Data Products

Kleanthis Mazarakis
November 25, 2017

Predicting the Iris Dataset

This application is using data from the publicly available iris dataset, to classify the flower species based on information about the following features:

  • Sepal Length
  • Sepal Width
  • Petal Length
  • Petal Width

Summary of Iris Dataset

Here is a plot of the dataset's Petal.Length vs Petal.Width:

plot of chunk unnamed-chunk-1

The Application

The Application allows the user to specify the size of the flower's Sepal and Petal by using sliders. Then, by using the “Submit” button, there is a decision tree algorithm that runs in the background to predict the species of the flower.
There are also 4 plots showing the distribution of the sizes and the currently selected size of each feature.

You can find the ui.R and server.R files at this link in github: https://github.com/kmazarakis/Developing-Data-Products

The application is running in shiny and is available at this link: http://kmazarakis.shinyapps.io/Developing_Data_Products