Shiny app

John NGO & Charles MURIER
28/11/2019

What can you do with our Shiny App?

  • Choose one of the 3 Datasets iris, mtcars and trees
  • Select the X variable which coresponds of a feature of the selected Dataset
  • Select the Y variable which coresponds of an other feature of the selected Dataset
  • Then, the graph depending on X and Y is displayed
  • So we can analyse the graph and interprete it

The 3 datasets we can choose

The charecteristics of the iris Dataset

names(iris)
[1] "Sepal.Length" "Sepal.Width"  "Petal.Length" "Petal.Width"  "Species"     
dim(iris)
[1] 150   5

As we can see, the iris Dataset has 5 features and 150 items

The charecteristics of the mtcars Dataset

names(mtcars)
 [1] "mpg"  "cyl"  "disp" "hp"   "drat" "wt"   "qsec" "vs"   "am"   "gear"
[11] "carb"
dim(mtcars)
[1] 32 11

As we can see, the mtcars Dataset has 11 features and 32 items

The charecteristics of the trees Dataset

names(trees)
[1] "Girth"  "Height" "Volume"
dim(trees)
[1] 31  3

As we can see, the trees Dataset has 3 features and 31 items

An example of plot

plot of chunk unnamed-chunk-4 On this graph we can compare the sepal with depending on the iris species. We can see that the sepal width of setosta is the highest and then we have the virginica and the versicolor

An other example of plot

plot of chunk unnamed-chunk-5 On this graph we can compare the trees girth with the trees volume. We can see that more the girth is high, more the volume is bigger.