Web app for predicting the initial investment necessary to start a new franchise of a company.
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.
- The prediction is performed using a database given by the company. This database has information about the initial investments and annual costs of other previously opened franchises;
- A univariate linear regression fits a function between the two variables "Franchise Annual Cost" and "Initial Cost", with the latter being the dependent variable;
- The app user can see the database provided by the franchising company and also a scatter plot with the fitted regression curve;
- Additionally, the user can input the planned annual cost for the new franchise and press a button to make the model predict the respective initial cost.
A Shiny web app is an R framework provided along with RStudio that allows its 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.