Tools we use
The Colenso Project uses these tools for text mining (turning unstructured qualitative information into machine-readable data), social network analysis (graphing and measuring the strength, direction, and flow of personal and professional relationships), topic modelling (using computer algorithms to identify clusters of subjects and concepts in texts), and geospatial visualization (producing maps and other visual representations of geographically-located data).
The Colenso Project uses these tools for text mining (turning unstructured qualitative information into machine-readable data), social network analysis (graphing and measuring the strength, direction, and flow of personal and professional relationships), topic modelling (using computer algorithms to identify clusters of subjects and concepts in texts), and geospatial visualization (producing maps and other visual representations of geographically-located data).
- OpenRefine - formerly Google Refine - powerful tool for working with messy data, cleaning it, transforming it from one format into another, extending it with web services, and linking it to databases.
- R - free software programming language and software environment for statistical computing and graphics.
- d3Network - creates interactive network graphs from R, with JavaScript. Google Fusion Tables makes it even easier to use d3Network.
- BatchGeo - quickly map your data into Google Maps.
- ArcGIS - quickly create and share interactive maps and apps.
- Leximancer - text analysis and visualization.
- Gephi - open source interactive visualization and exploration platform for network analysis and visualisation, especially for complex systems, dynamic and hierarchical graphs.
- Sigma js - JavaScript library dedicated to interactive and dynamic graph drawing for the Web.