Iris Flower Explorer

Sudev Asok

Iris Flower Explorer

Developing Data Products Course Project

Interactive exploration of the Iris dataset using Shiny.

Overview

The application allows users to:

Select a flower species
Choose X and Y variables
Display a scatter plot
View summary statistics

Features

Interactive dropdown menus
Reactive filtering
Dynamic scatter plot
Real-time summary statistics
Beginner-friendly interface

Example R Code

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

Conclusion

The Iris Flower Explorer demonstrates how Shiny can be used to build an interactive data product for exploring datasets through reactive visualizations and summary statistics.