MPG prediction for the final project in the developing data products course using shiny apps and RMarkDown.

• Miles per galon can be estimated through several features present in the database.
• Displacement, number of gears, weight, type of transmission and horse power are some charaterics that we know can influence a cars fuel consuptiom
• The created app allows to estimate the MPG of a hypotetical car based on these characteristics

Follow the following Link for the App.

https://hofmannc.shinyapps.io/MPGprediction/

Follow the link below for compiled project files on gitub repo.

https://github.com/HofmanCHFA/Developing-Data-Products

The data used for this application is the mtcaras data set, which is part of the datasets package. mtcars From datasets v3.6.2 by R-core R-core@R-project.org

Motor Trend Car Road Tests 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).

library(datasets)
head(mtcars, n = 3)

##                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

© 2020 GitHub, Inc.