Developing Data Products

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

Here is how the iris dataset looks like:

  Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1          5.1         3.5          1.4         0.2  setosa
2          4.9         3.0          1.4         0.2  setosa
3          4.7         3.2          1.3         0.2  setosa
4          4.6         3.1          1.5         0.2  setosa
5          5.0         3.6          1.4         0.2  setosa
6          5.4         3.9          1.7         0.4  setosa

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

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