1974 Motor Trend US magazine Data Exploration

AJITH

2024-04-02

Introduction

This is the reproducible pitch presentation for the final course project of Coursera Data Science Specialization Course 9: Developing Data Products.

mtcars Data

The mtcars dataset from 1974 Motor Trend US magazine comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles.
mpg - Miles per Gallon
cyl - # of cylinders
disp - Displacement, in cubic inches hp - Horsepower
drat - Driveshaft ratio
wt - Weight (1000 lbs)
qsec - 1/4 mile time; a measure of acceleration
vs - Engine shape; 0 = V type, 1 = Straight
am - Transmission type; 0 = Automatic, 1 = Manual
gear - # of gears
carb - # of carburetors

data(mtcars)
summary(mtcars)

##       mpg             cyl             disp             hp       
##  Min.   :10.40   Min.   :4.000   Min.   : 71.1   Min.   : 52.0  
##  1st Qu.:15.43   1st Qu.:4.000   1st Qu.:120.8   1st Qu.: 96.5  
##  Median :19.20   Median :6.000   Median :196.3   Median :123.0  
##  Mean   :20.09   Mean   :6.188   Mean   :230.7   Mean   :146.7  
##  3rd Qu.:22.80   3rd Qu.:8.000   3rd Qu.:326.0   3rd Qu.:180.0  
##  Max.   :33.90   Max.   :8.000   Max.   :472.0   Max.   :335.0  
##       drat             wt             qsec             vs        
##  Min.   :2.760   Min.   :1.513   Min.   :14.50   Min.   :0.0000  
##  1st Qu.:3.080   1st Qu.:2.581   1st Qu.:16.89   1st Qu.:0.0000  
##  Median :3.695   Median :3.325   Median :17.71   Median :0.0000  
##  Mean   :3.597   Mean   :3.217   Mean   :17.85   Mean   :0.4375  
##  3rd Qu.:3.920   3rd Qu.:3.610   3rd Qu.:18.90   3rd Qu.:1.0000  
##  Max.   :4.930   Max.   :5.424   Max.   :22.90   Max.   :1.0000  
##        am              gear            carb      
##  Min.   :0.0000   Min.   :3.000   Min.   :1.000  
##  1st Qu.:0.0000   1st Qu.:3.000   1st Qu.:2.000  
##  Median :0.0000   Median :4.000   Median :2.000  
##  Mean   :0.4062   Mean   :3.688   Mean   :2.812  
##  3rd Qu.:1.0000   3rd Qu.:4.000   3rd Qu.:4.000  
##  Max.   :1.0000   Max.   :5.000   Max.   :8.000

Codes for Histogram

inputVar <- 'mpg'; inputBin <- 10; histVal <- mtcars[, inputVar]
hist(histVal, breaks = seq(min(histVal), max(histVal), length.out = inputBin+1),
     xlab = inputVar, main = paste('Distribution of', inputVar),
     col = 'darkgray', border = 'white')

Codes for Scatter Plot

library(ggplot2)
scatX <- 'Miles per gallon'; scatY <- 'Horsepower'; scatC <- 'Transmission'
ggplot(data = mtcars, aes(x = mpg, y = hp, color = am)) + 
      geom_point() + xlab(scatX) + ylab(scatY) + labs(colour = scatC) +
      ggtitle(paste('Scatter plot of', scatX, 'vs', scatY)) +
      theme(plot.title = element_text(hjust = 0.5))