Iris data set is a multivariate data set
The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor).
Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters.
Based on the combination of these four features, Fisher developed a linear discriminant model to distinguish the species from each other.
The dataset contains a set of 150 records under 5 attributes 1:Petal Length, 2:Petal Width , 3:Sepal Length , 4:Sepal width and Class.
To start user need to select the radio button corresponding to the List .
After that select the number of bins.
When user move the slider ,it will cause the histogram to change and the desired result will be displayed.