Mtcars Kmeans Cluster

Mtcars data sets contains 32 different cars and their attributes like:

• Mpg (miles per gallon)
• Cyl: Cylinder
• Wt (weight of cars)

… etc

I intend to use these attributes to help identify what kinds of cars are close to each other using Kmeans clusters based on the attributes selected. This is motivated by finding out how different cars are “like” each other based on the attributes we are interested in.

head(mtcars)

                   mpg cyl disp  hp drat    wt  qsec vs am gear carb
Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

• With the app, users will be able to cluster cars based on the attributes they are interested in – for example, what kind of cars are close together based on MPG & Cylinders.

• Users will be able to choose the number of clusters (groups) to group the cars, and the cars in the same cluster will be in the same color

1. Launch the app
2. On the menu drop down, select the three different attributes of the cars
3. Choose the number of clusters the cars will be group into
4. Examine the output plot

Find app here: https://garymu.shinyapps.io/mtcars/ Find code here: https://github.com/gary7135/coursera-shiny-app-mtcars/tree/master/mtcars