Project developed for the Data Visualization course of the Master's Programme in Data Science of UPM.

This repository compiles some visualization solutions proposed for the TLC Trip Record Data, a data set with information about taxi trips in New York City. A detailed explanation about all the work done will be shown in the report.

The project has been developed using the following sotware:

• R version 4.1.2 with the following packages:
  • shiny (>= 1.7.1).
  • leaflet (>= 2.0.4.1).
  • chorddiag (>= 0.1.3).
  • rgdal (>= 1.5-28).
  • mapdeck (>= 0.3.4).
  • gdata (>=2.18.0).
  • here (>= 1.0.1).
  • igraph (>= 1.2.7).
  • dplyr (>= 1.7.2).
  • shinydashboard (>= 0.7.2).
  • shinyWidgets (>= 0.6.3).
  • shinyjs (>= 2.1.0).
  • googlePolylines (>= 0.8.2).
  • sp (>= 1.4.6).
  • spatialwidget (>=0.2.3).
  • factoextra (>= 1.0.7).
  • tidyr (>=1.0.4).
  • RColorBrewer (>=1.1.2).
  • data.table (>= 1.14.2).
  • GGally (>= 1.5.0).
  • cluster (>= 2.1.2).
  • caret (>= 6.0.90).
  • purrr (>= 0.3.4).
  • rlang (>=0.2.2).

• Run server.R or ui.R from src folder in RStudio
• Web application can be found here

• Pablo Crucera Barrero (@pablo-crucera)
• Javier Gallego Gutiérrez (@javiegal)
• Júlia Sánchez Martínez (@Julia-upc)