Swathi S.
The goal of the project is to build an interactive web application using Shiny. Shiny is a platform that helps create interactive R program embedded into the web.
For this project, I created an app that uses Census Statistics data of all the states of USA to understand how various statistics are related to each other.
Overview:
This application allows the user to select US states statistics whose interaction they would like to observe. The data is based on the U.S. Department of Commerce, Bureau of the Census (1977) Statistical Abstract of the United States. This data is available in the R dataset library state.
Function:
You can select any two variable whose interaction you would observe by selecting the relevant statistic from the drop down menu.
The Plot tab shows an interactive chart of how the selected variables interact. The chart is created using rCharts.
The Summary tab shows the summary of the regression model that was fitted to the data.
The Table tab displays the original data in a sortable and searchable data format for users to play around and understand the data better.
The application can be found at https://hereandnow.shinyapps.io/Project/
This is a snapshot of the application running on shinyapp
This is part of the code that was used in creating the data used for the application
state <- data.frame(state.x77)
state <- data.frame(cbind(rownames(state),state[,c(-5,-7)]))
colnames(state)[c(1,5,6)]<-c("State","Life_Expectancy","HS_Grad")
str(state)
## 'data.frame': 50 obs. of 7 variables:
## $ State : Factor w/ 50 levels "Alabama","Alaska",..: 1 2 3 4 5 6 7 8 9 10 ...
## $ Population : num 3615 365 2212 2110 21198 ...
## $ Income : num 3624 6315 4530 3378 5114 ...
## $ Illiteracy : num 2.1 1.5 1.8 1.9 1.1 0.7 1.1 0.9 1.3 2 ...
## $ Life_Expectancy: num 69 69.3 70.5 70.7 71.7 ...
## $ HS_Grad : num 41.3 66.7 58.1 39.9 62.6 63.9 56 54.6 52.6 40.6 ...
## $ Area : num 50708 566432 113417 51945 156361 ...