On Github jlanga-coursera / developping-data-products-slidify
Created by Jorge Langa
Introduced by statistician Ronald Fisher
3 species of Iris:
4 measurements:
data(iris) # Load the dataset in case it's not str(iris)
## 'data.frame': 150 obs. of 5 variables: ## $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... ## $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... ## $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... ## $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... ## $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
pairs(iris[,1:4],col=iris$Species)
To do data exploration without knowing R programming!
Here is the app!
Choose a species
Choose what to visualize (petal or sepal)
Et violà!