This is a data visualization project based on the litterati project found @ https://www.litterati.org/.
The data utilized for this project comes from: https://www.evl.uic.edu/aej/424/litterati challenge-65.csv
This is the data collected as a challenge for the Go Green Forest Park group from the western suburbs of Forest Park, IL.
This code was written to be visualized on the EVL Lab screen for my CS424: Visualization and Visual Analytics @ UIC
using the coding language R in RStudio IDE.
To run the app:
download the project from github respository
found at: https://github.com/atimochina/CS424_proj1
extract files into a seperate folder(aka a directory)
open the file app.r in RStudio
run the application through IDE by pressing green RunApp button in upper header buttons
If you do not have RStudio or R installed to your computer you can find information on downloading and
tools at Prof.Andrew Johnsons site: https://www.evl.uic.edu/aej/424/week02.html
Just in case the link no longer works here is some useful links to get you started:
R - https://www.r-project.org/
R studio - https://www.rstudio.com/
Shiny - http://shiny.rstudio.com/
Shiny Dashboard - https://rstudio.github.io/shinydashboard/
An online version of the project can be found at: https://atimochina.shinyapps.io/TheLitterProject/
For more information on the project you can hit up my google sites @ https://sites.google.com/uic.edu/atimoc2cs424/home?authuser=0
Necessary libraries for this project are:
library(shiny)
library(shinydashboard)
library(ggplot2)
library(lubridate)
library(grid)
library(leaflet)
library(stringr)
library(splitstackshape)
library(DT)
To download the packages for the libraries type install.packages("<library_name>") into the RStudio Console
i.e. install.packages("shiny")