Data-Visualization

Description

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.

Dependencies

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).

Usage

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

Authors

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