• Data in tables are good. But hard to figure out entire feature.
• Example (iris data)

data(iris)
head(iris)

##   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

• Graphical presentation makes data understand
• You can notice Petal length and Sepal length are good features to classify iris species

• Limitation: graph can show at most two variables. (except category)

• https://sanori.shinyapps.io/irisApp
• Explores iris data in various ways
• You can choose x and y axis with any variables in data
• Explorer shows the graph of two variables and species
• It also shows the centers of each species if you want