GlueViz Overview
It provides a graphical means of exploring relationships within large datasets. It works best for data that is stored in a spreadsheet or table rather than 3D simulation data.
GlueViz enables you to:
- Explore data via statistical graphics such as scatter plots, histograms and images.
- Linkage between graphics allows subsets selected in one view to be propagated to the others.
- Python scripting: additional features can be added using Python, without having to learn too much programming.
This is the pilot version of a general hands-on course that introduces some of the basic visualization techniques before some more advanced Python techniques. It covers:
- Overview of user interface, drag and drop, subsets.
- How to load data, visualize, define subsets, and save subsets; input & output file formats.
- How to use the built-in visualisation tools: histogram .... table
- Generate multiple related views to present data subsets, unions intersections etc.
- Comparing and merging multiple data sets
- Interactive programming via GluViz's interactive IPython terminal
- Export Python code for generating plots.
- Develop your own visualisation tools in Python.
- Q&A on issues around your own data.
Prerequisites:
Experience with Python programming would help for the later parts of the course, but in not essential.
GlueViz Installation Guide
GlueViz Slides
GlueViz Worksheets
GlueViz Data
Videos:
GlueViz Part 1
GlueViz Part 2