Predict Fuel Consumption Application

Mauricio Ramos
January 25, 2018

Overview

This is about a shiny web application that predicts car fuel consumption using a linear regression model developed over a dataset extracted from the 1974 Motor Trend Car US Magazine (mtcars).

The goal is to predict the miles per gallon given the predictors weight, the quarter of mile time and weather the transmission is manual or automatic. More details on this specific regression model development please visit a previous report on https://mauriciocramos.github.io/mtcars-regmodel/README.pdf.

A sample of the mtcars dataset

knitr::kable(head(mtcars, 5))

	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

Application screenshots

Application access and source code

The application is available at https://mauriciocramos.shinyapps.io/mtcars-predict/

The source code is available at https://github.com/mauriciocramos/mtcars-predict

Shiny framework is available at http://shiny.rstudio.com/ and https://cran.r-project.org/web/packages/shiny/index.html.

Enjoy it!