What Is The Fuel Performance Of Your Car?
Author: Isabelle Valette
Date: April 25th, 2015
Course: Developing Data Products
Data Science Specialization on Coursera
Executive Summary
Use the inputs on the left-hand side of the Shiny App to calculate the fuel economy performance of your car measured in Miles per gallon (MPG).
- The Data and EDA tabs will give you a feeling of what the data foundation looks like and what are the potential issues with the linear regression model used.
- The Car Specifications tab shows you a summary of the specifications you selected.
- The Fuel Performance tab shows you how well your car is performing.
Taking a quick look at the data
We will use a standard dataset from r for calculating your car fuel performance.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).
data(matcars); head(mtcars[,c(1:4,6,9 )])
mpg cyl disp hp wt am
Mazda RX4 21.0 6 160 110 2.620 1
Mazda RX4 Wag 21.0 6 160 110 2.875 1
Datsun 710 22.8 4 108 93 2.320 1
Hornet 4 Drive 21.4 6 258 110 3.215 0
Hornet Sportabout 18.7 8 360 175 3.440 0
Valiant 18.1 6 225 105 3.460 0
Using Linear Regression
The calculation performed by the Shiny App are the results of the following regression model.
fit <- lm (mpg ~ cyl + am + wt + disp + hp, data=mpgData)
We have listed for you the coefficients from the linear regression model used in Shiny.
Estimate Std. Error
(Intercept) 38.20279869 3.66909647
cyl -1.10637984 0.67635506
am1 - Manual 1.55649163 1.44053603
wt -3.30262301 1.13364263
disp 0.01225708 0.01170645
hp -0.02796002 0.01392172
Final Notes
Note: The linear model used in our example is for recreational use only and does not statisfy the strict assumptions required in building a linear statistical model.
The project concludes the last of the courses from the data science specialization on Coursera.
For more details on authoring R presentations, please view the following tutorials from RStudio.