# Example Package
This is a simple example package. You can use
[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)
to write your content.
Raw data
{
"_id": null,
"home_page": null,
"name": "datascan",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "data mining, association rule, clustering, decision tree, data analytics, linear programing, stat tests, ratio analysis",
"author": null,
"author_email": "Dr Anna Sung and Prof Kelvin Leong <k.leong@chester.ac.uk>",
"download_url": "https://files.pythonhosted.org/packages/3f/32/8098277f8672a59666e940824f3121b2537b836cebee202931ac1717cf5b/datascan-0.0.2.tar.gz",
"platform": null,
"description": "# Example Package\r\n\r\nThis is a simple example package. You can use\r\n[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)\r\nto write your content.\r\n",
"bugtrack_url": null,
"license": "BSD-3-Clause",
"summary": "DESCRIPTION",
"version": "0.0.2",
"project_urls": null,
"split_keywords": [
"data mining",
" association rule",
" clustering",
" decision tree",
" data analytics",
" linear programing",
" stat tests",
" ratio analysis"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "4ae21ab7d68064233003dbdeaa2951a41214a4c968d3af291a1cace6a1ea8f1f",
"md5": "4df7e734be39b75cb17f3f4a923377aa",
"sha256": "94ce136217c2c0762a99c13070d1b674b077e6d027cbe291338397387d7768a7"
},
"downloads": -1,
"filename": "datascan-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "4df7e734be39b75cb17f3f4a923377aa",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 12992,
"upload_time": "2024-11-09T09:28:57",
"upload_time_iso_8601": "2024-11-09T09:28:57.639867Z",
"url": "https://files.pythonhosted.org/packages/4a/e2/1ab7d68064233003dbdeaa2951a41214a4c968d3af291a1cace6a1ea8f1f/datascan-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "3f328098277f8672a59666e940824f3121b2537b836cebee202931ac1717cf5b",
"md5": "4ef62d41880381fdc9ebeff52f34162e",
"sha256": "3277b4edbd37d153a87480fea481c4ea7ebcf6cd5f2faf6b3f22611c627f41d2"
},
"downloads": -1,
"filename": "datascan-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "4ef62d41880381fdc9ebeff52f34162e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 13160,
"upload_time": "2024-11-09T09:28:59",
"upload_time_iso_8601": "2024-11-09T09:28:59.223232Z",
"url": "https://files.pythonhosted.org/packages/3f/32/8098277f8672a59666e940824f3121b2537b836cebee202931ac1717cf5b/datascan-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-09 09:28:59",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "datascan"
}