Car Quality Estimation

Web app to estimate car quality based on the car properties informed by the user.

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Usage

Install the Shiny R package on your machine by running the following command on your R console:

install.packages("shiny")

Once finished installing, clone or download this repository and open the "app.R" file with Rstudio. Rstudio will automatically detect that it is a Shiny app file and a "Run App" button will appear on the top of the editor screen. Click the button to run the app.

Alternatively, with the repository cloned, open your R console and set the working directory to the absolute path where the repository was cloned:

setwd(path_to_cloned_repository)

Then, load the Shiny library and run the file "app.R":

library(shiny)
runApp("app/app.R")

The app will start on a new browser tab in your default browser.

App Features

• The model is trained using a file given along with the app (in the data folder of this repository). Therefore, the user does not need to input any files in the app;
• The app user can select 6 different variables considering the car to evaluate:
  1. Price, between low, medium, high and very high;
  2. Maintenance level, between low, medium, high and very high;
  3. Number of doors, between 2, 3, 4 and more;
  4. Seating capacity, between 2, 4 and more;
  5. Luggage size, between small, medium and big;
  6. Safety, between low, medium and high.
• When the user clicks the "Estimate!" button, the car quality is estimated using Naive Bayes;
• Car quality is printed on the screen after the quick estimation.

User Interface Sample

Shiny is a framework that allows users to develop web apps using R and embedded web languages, such as CSS and HTML. Shiny apps focus on objectiveness and simplicity: only one or two R scripts have all the code for the app.

This app development started with knowledge and tools discussed during the course "Data Science Bootcamp" by Fernando Amaral. The app has been upgraded and personalized, adding new functionalities.