9.10 Tools

  • Scientists (public servant) should work with open-source software!
  • R: Free, community, powerful, online-documentation/help, pioneers, interdisciplinarity, object-oriented, popularity, workflow (empirical reports)
  • RStudio IDE (integrated development environment): Productive user interface for R (powerful, free, open source, works on various systems)
  • Shiny
    • A web application framework for R to turn analyses into interactive web applications
    • Attractive because…
      • …no need to really learn html, css or javascript (htmlwidgets)
      • …aims at data analysts who are not programmers
      • …easy upload from RStudio
      • …it is developing so fast
  • Shinyapps.io
    • A platform/server running R as a service for hosting Shiny web apps (free account with 5 apps, 25 active hours)
  • Plotly (see Github repository)
    • “Built on top of d3.js and stack.gl, plotly.js is a high-level, declarative charting library. plotly.js ships with 20 chart types, including 3D charts, statistical graphs, and SVG maps.”
    • Why? Open-source, high-level, fast etc. (Who?)
  • plotly R package
    • “Plotly for R is an interactive, browser-based charting library built on the open source javascript graphing library, plotly.js. It works entirely locally, through the HTML widgets framework” (Who?)
  • Other tools we skip htmlwidgets, D3
  • YOUR FRIENDS: http://stackexchange.com/ and http://stackoverflow.com/