`evomap.datasets`#

Sample data for demonstration purpose.

Module Contents#

`load_tnic_snapshot`()	Load example data. Original data comes from
`load_tnic_snapshot_small`()	Load example data. Original data comes from
`load_tnic_sample`()	Load example data. Original data comes from
`load_tnic_sample_small`()	Load example data. Original data comes from
`load_tnic_sample_tech`([unbalanced])
`load_car_data`()	Load car dataset, containing perceptual and preference ratings of competing cars.

evomap.datasets.load_tnic_snapshot()[source]#

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).
Return type: dict

evomap.datasets.load_tnic_snapshot_small()[source]#

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).
Return type: dict

evomap.datasets.load_tnic_sample()[source]#

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).
Return type: dict

evomap.datasets.load_tnic_sample_small()[source]#

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).
Return type: dict

evomap.datasets.load_car_data()[source]#

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.
Return type: dict