Skip to content

tellae/bhepop2

Repository files navigation

Bhepop2

A common problem in generating a representative synthetic population is that not all attributes of interest are present in the sample. The purpose is to enrich the synthetic population with additional attributes, after the synthetic population is generated from the original sample.

In many cases, practitioners only have access to aggregated data for important socio-demographic attributes, such as income, education level.

This package treats the problem to enrich an initial synthetic population from an aggregated data provided in the form of a distribution like deciles or quartiles.

flowchart LR
  subgraph data_prep [Data preparation]
    pop[("Population \n (Eqasim, ..)")] --> read_pop
    distribs[("Enrichment source \n (Filosofi, ..)")] --> read_distribs
  end
  subgraph Assignment
    formated_pop(Formated population)
    formated_distribs(Formated source)
    formated_pop & formated_distribs --> assignment[/Assignment algorithm/]
  end
  read_pop --> formated_pop
  read_distribs --> formated_distribs
  assignment --> enriched_pop(Enriched population)
Loading

Getting started

The Bhepop2 package is available on PyPI

pip install bhepop2

Example

See example notebooks here.

Documentation

The documentation is hosted on ReadtheDocs : https://bhepop2.readthedocs.io/en/latest/

Contributing

Feedback and contributions to Bhepop2 are very welcome, see CONTRIBUTING.md for more information !

License

This project is licensed under the CeCILL-B License - see the LICENSE.txt file for details

Authors

This package is the product of the joint work of the Gustave Eiffel university and the company Tellae.

It was originally created as an implementation the Bhepop2 (Bayesian Heuristic to Enrich POPulation by EntroPy OPtimization) methodology. See the bhepop2 module doc for more information.