evomap.datasets
===============

.. py:module:: evomap.datasets

.. autoapi-nested-parse::

   Sample data for demonstration purpose.



Functions
---------

.. autoapisummary::

   evomap.datasets.load_tnic_snapshot
   evomap.datasets.load_tnic_snapshot_small
   evomap.datasets.load_tnic_sample
   evomap.datasets.load_tnic_sample_small
   evomap.datasets.load_tnic_sample_tech
   evomap.datasets.load_car_data


Module Contents
---------------

.. py:function:: load_tnic_snapshot()

   Load example data. Original data comes from
   https://hobergphillips.tuck.dartmouth.edu/.

   :returns: Dictionary containing the similarity matrix, firm labels and
             cluster assignments (based on community detection).
   :rtype: dict


.. py:function:: load_tnic_snapshot_small()

   Load example data. Original data comes from
   https://hobergphillips.tuck.dartmouth.edu/.

   :returns: Dictionary containing the similarity matrix, firm labels and
             cluster assignments (based on community detection).
   :rtype: dict


.. py:function:: load_tnic_sample()

   Load example data. Original data comes from
   https://hobergphillips.tuck.dartmouth.edu/.

   :returns: Dictionary containing the similarity matrix, firm labels and
             cluster assignments (based on community detection).
   :rtype: dict


.. py:function:: load_tnic_sample_small()

   Load example data. Original data comes from
   https://hobergphillips.tuck.dartmouth.edu/.

   :returns: Dictionary containing the similarity matrix, firm labels and
             cluster assignments (based on community detection).
   :rtype: dict


.. py:function:: load_tnic_sample_tech(unbalanced=False)

.. py:function:: load_car_data()

   Load car dataset, containing perceptual and preference ratings of competing cars.

   Data is taken from the following book, with some modifications:

   Lilien, G. L., & Rangaswamy, A. (2004). Marketing engineering: computer-assisted marketing analysis and planning (2nd revised edition). DecisionPro.

   :returns: Dictionary containing the perceptual ratings and preference ratings.
   :rtype: dict