Overview

This is a benchmarking application to help us determine which car performs economically best based on car characteristics(horsepower, displacement, # of cylinders, Transmission) and trip info (such as cost of petrol/diesel and price). Based on this info, the table will show the best available option.

How it works?

The data used in the app comes from the Motor Trend Car Road Tests (mtcars) dataset. The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973-74 models). We can look to some characteristics of the data:

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

Plot

Here we can see the relationship between three variables: miles per gallon (mpg), displacement (disp) and weight (wt).

library(car)

## Loading required package: carData

scatterplotMatrix(~mpg+disp+wt, data=mtcars, cex.axis=1.5)