Useful and not-so-useful links


Maps & spatial analysis:



  • A comprehensive hands-on introduction to data visualization using R and ggplot by Kieran Healy:
  • If you are not sure how to present your data, Data-to-Viz has some suggestions with links to code:
  • An interactive course on visualization and data analysis in R by David Robinson (DataCamp):
  • Seeing theory (originally created by Daniel Kunin) is an amazing interactive visual tool that makes statistics and probability accessible to all:
  • Victor Powell has taken interactive visualizations a step further in Explained Visually by explaining more difficult concepts in an intuitive way:
  • Wisdom (madness!) of crowd by Nicky Case: An interactive game which shows how structure of the network affects the outcome. The page also hosts several other interactive games that tell scientific stories in a fun way.

(Social) Networks:

  • Everything related to RSiena package for statistical analysis of longitudinal social network data using stochastic actor oriented models can be found on this page which is maintained by Tom A.B. Snijders:
  • Katherine Ognyanova has several tutorials for network visualisation as well as analysis using R and igraph:
  • Yet another very useful and quite comprehensive (not-so-social) network analysis tutorial using R by Sacha Epskamp:


  • If you want to integrate Stata and a text editor, here is a useful guide by Friedrich Huebler:
  • It is possible to do network analysis using Stata with the user written package by Thomas Grund: nwcommands
  • For those working with big data, the Stata package provides speed improvements to common Stata commands: gtools

Analytical Sociology:

  • Another interactive simulation by Nicky Case which explores how seemingly small differences at the micro level can result in large changes at the macro level (i.e. Schelling type (de)segregation mechanism):
  • The Coleman Boat explained: