quafing

Questionnaire analysis using Fisher Information Non-Parametric Embedding. Explore high-dimensional continuous and discrete questionnaire data sets.

3
contributors
131 commits | Last commit 10 months ago

Cite this software

What quafing can do for you

Questionnaire analysis using Fisher Information Non-Parametric Embedding enables users to explore the similarity of respondent groups by leveraging the information distance between the multi-dimensional probability density functions of each group - i.e. the most appropriate distance metric - to provide input for lower dimensional embedding and visualization.
Quafing supports (mixed) continuous and discrete data responses.
WIP

Keywords
Programming languages
  • Python 93%
  • Jupyter Notebook 6%
License
  • Apache-2.0
</>Source code

Participating organisations

Netherlands eScience Center
University of Amsterdam

Contributors

Meiert Willem Grootes
Meiert Willem Grootes
Lead RSE
Netherlands eScience Center
Pranav Chandramouli
Pranav Chandramouli
eScience Research Engineer
Netherlands eScience Center
DR

Related projects

Computing societal dynamics of climate change adaptation in cities

Updated 11 months ago
In progress