This presentation is part of the Course Project for the Coursera Developing Data Products class. The peer assessed assignment has two parts. First, we need to create a Shiny application and deploy it on Rstudio's servers. Second, we should use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about the application. This presentation adresses the second part of the course project.

The app developed for the first part of the assignment is avalilable at: https://darwin22.shinyapps.io/darwin22/

Source code for ui.R and server.R files are available on the GitHub: https://github.com/Darwin22/darwin22

This app helps you calculate your BMI based on your wight and height.

BMI can be used to indicate if you are overweight, obese, underweight or normal. A healthy BMI score is between 20 and 25.

The application allows the user to provide input of weight(in pounds) and height(in inches). Output in the form of BMI with incation of underweight, normal or obese is displayed.

BMI<-function(weight,height) {(weight*0.45)/((height*0.025)^2)}

diagnostic_f<-function(weight,height){
  BMI_value<-(weight*0.45)/((height*0.025)^2)
  ifelse(BMI_value<18.5,"underweight",
  ifelse(BMI_value<25,"normal weight",
  ifelse(BMI_value<30,"overweight","obesity")))
}

The app developed for the first part of the assignment is avalilable at:

https://darwin22.shinyapps.io/darwin22/

Source code for ui.R and server.R files are available on the GitHub:

https://github.com/Darwin22/darwin22