Optimal Car Selection

This presentation is part of the Course Project for the Developing Data Products course hosted on Coursera.

• The app developed for the first part of the assignment is avalilable at: https://khoongweihao.shinyapps.io/Optimal_car_selection/
• The source code for the ui.R and server.R files are available on the GitHub repository: https://github.com/weihao94/Developing-Data-Products

This app allows you to choose a car for your daily commute, using the mtcars dataset from R.

Firstly, you need to input the distance of your trip and the price of gasoline in the region you reside in. These information will then be used to calculate the Gasoline Expenditure for each car in the dataset. Following which, you can enter the maximum amount of money you want to spend on gasoline, and the table will show only the cars with miles per gallon (mpg) that can go below this value.

Lastly, you can select some caractheristcs of the cars that you want: Cylinders, Displacement, Horse Power and Transmission.

The data used in the app comes from the Motor Trend Car Road Tests (mtcars) dataset.

library(car)
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