Data: https://www.evl.uic.edu/aej/424/litterati challenge-65.csv

I've used this data available on literati website. This data includes a detailed description of people picking up data from all around the world. The data does not only contain the basic information but also includes the latitude and longitude of where the user picked up the litter from. Litterati also use AI to figure out the type of the garbage through the picture and we have this available in the tags column.

The visualization contains many different bar charts such as data by day of the week, by date, by specific person etc. For all these charts the data had to be split up to contain only the required information. Overall, all the data needed to be cleaned a little bit, the timestamp was converted to Chicago time, the users that didn't have any name were given unique usernames and all the data outside forest park was removed.

Libraries:

• ggplot -> plotting
• leaflet -> map
• lubridate
• library(shiny)
• library(shinydashboard)