Economic Sanctions
Domain Theory on Economic Sanctions; Undocumented
Dataset Characteristics
Domain-Theory
Subject Area
Business
Associated Tasks
-
Feature Type
-
# Instances
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# Features
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Dataset Information
Additional Information
I think you'll find some limited documentation on Mike's database in his papers. His dissertation would be a good reference (UCLA). Perhaps pages 152-153 in the EWSL-1988 proceedings should help with understanding the data format. Pages 713-718 of IJCAI-1989 should help even more.
Has Missing Values?
No
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Download
Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset economic_sanctions = fetch_ucirepo(id=153) # data (as pandas dataframes) X = economic_sanctions.data.features y = economic_sanctions.data.targets # metadata print(economic_sanctions.metadata) # variable information print(economic_sanctions.variables)
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Citation
Pazzani,Michael. Economic Sanctions. UCI Machine Learning Repository. https://doi.org/10.24432/C5QS3G.
BibTeX
@misc{misc_economic_sanctions_153,
author = {Pazzani,Michael},
title = {{Economic Sanctions}},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5QS3G}
}Creators
Michael Pazzani
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.