A data science visualization project in the cursus of our L3 M&I at UGA
Hugo Bensbia (manager), Paul Andre, Youssef Abyaa, Noe Romain, Victor Sigrist, Jude Coulavin
file: script_density.py
info: download population density
usage: launch with python 3
dependancies: BeautifulSoup, Requests
file: *.xlsx
info: Raw excel files downloaded from the INSEE study
file: *.csv
info: Converted files to comma separated values
file: script_landfills.py
info: creates landfills database and filter oversea France
usage: launch with python 3
dependancies: Requests, BeautifulSoup, Pandas, Rich
file: landfills.csv
info: the landfill database
Dependancies: leaflet, raster, rgdal, geojsonio, shiny, spatstat
info: it will take a will to load all the maps on the first opening
composantes.R: defines all the core variables for our app
map.R: creates all the maps
app.R: launches the app with the gui
correlation.R: all our tests to uncover the link between population density and landfill position