mtcars Dataset - Data Products - week 4

Variables and MPG

Gustavo Seifer

09.05.2020

Reproducible Pitch

General Information

mtcars Dataset

Motor Trend Car Road Tests

The data was extracted from the 1974 Motor Trend US magazine, and includes fuel consumption and 10 characteristics of automobile design and performance for 32 automobiles (1973-1974 models).

More details in:

URL: https://www.rdocumentation.org/packages/datasets/versions/3.6.2/topics/mtcars

library(datasets)
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

Structure of mtcars Dataset - Variables

32 x 11 (32 rows or observations and 11 columns or variables)

Field Details
mpg Miles/ gallon
cyl Number of cylinders
disp Displacement
hp Gross horsepower
drat Rear axle ratio
wt Weight (lb)
qsec 1/4 mile time
vs V/S
am Transmission (0 = automatic, 1 = manual)
gear Number of forward gears
carb Number of carburetors

Main Code

  formulaTextPoint <- reactive({
    paste("mpg ~", "as.integer(", input$variable, ")")  })
  
  fit <- reactive({
    lm(as.formula(formulaTextPoint()), data=mpgData)  })
  ...
  output$fit <- renderPrint({
    summary(fit()) })
  
  output$mpgPlot <- renderPlot({
    with(mpgData, {
      plot(as.formula(formulaTextPoint()))
      abline(fit(), col=2)
    })  })

END