[](https://www.python.org)
[](https://numpy.org)
[](https://www.gnu.org/licenses/gpl-3.0)

<img src="https://github.com/jiku-pro/jiku-data/blob/ee4a7ccc53b7badedc14d7c93b2b40af783b4f75/jiku-core.jpg?raw=true" alt="JikuCore" width="600">
# JIKU DATA
Public repository of open-source datasets, and a component of the [Jiku Core](https://jiku-core.org) software suite.
Datasets appear in `./src/jikudata/datasets` and are all sourced from the internet, academic papers and open databases. Dataset-specific licenses are provided where required.
Example use:
```python
import jikudata as jd
dataset = jd.RSRegression()
y = dataset.y # dependent variable
x = dataset.x # independent variable(s)
print( dataset )
print( dataset.www )
```
Output:
```
RSRegression:
design : Linear regression
dim : 0
y : (15,) array
expected :
ExpectedResultsSPM1D:
STAT : T
z : -3.67092
df : (1, 13)
p : 0.0028
https://www.real-statistics.com/regression/hypothesis-testing-significance-regression-line-slope/
```
Iterate through all datasets:
```python
for dataset in jd.datasets.iter_all():
print( dataset.name )
```
Raw data
{
"_id": null,
"home_page": null,
"name": "jiku-data",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": "datasets, data analysis, functional data analysis, time series analysis",
"author": null,
"author_email": "Jiku Pro <admin@jiku.pro>",
"download_url": "https://files.pythonhosted.org/packages/9a/5c/398d014a5f45d7cd2b822fd1d9716799299cee3eae196442e83d08d63c73/jiku_data-0.1.7.tar.gz",
"platform": null,
"description": "[](https://www.python.org)\n[](https://numpy.org)\n[](https://www.gnu.org/licenses/gpl-3.0)\n\n\n\n\n<img src=\"https://github.com/jiku-pro/jiku-data/blob/ee4a7ccc53b7badedc14d7c93b2b40af783b4f75/jiku-core.jpg?raw=true\" alt=\"JikuCore\" width=\"600\">\n\n# JIKU DATA\n\nPublic repository of open-source datasets, and a component of the [Jiku Core](https://jiku-core.org) software suite.\n\n\n\nDatasets appear in `./src/jikudata/datasets` and are all sourced from the internet, academic papers and open databases. Dataset-specific licenses are provided where required.\n\n\n\nExample use:\n\n```python\nimport jikudata as jd\n\ndataset = jd.RSRegression()\ny = dataset.y # dependent variable\nx = dataset.x # independent variable(s)\n\nprint( dataset )\nprint( dataset.www )\n\n\n```\n\nOutput:\n\n```\nRSRegression:\n design : Linear regression\n dim : 0\n y : (15,) array\n expected : \n ExpectedResultsSPM1D:\n STAT : T\n z : -3.67092\n df : (1, 13)\n p : 0.0028\n \nhttps://www.real-statistics.com/regression/hypothesis-testing-significance-regression-line-slope/\n```\n\n\n\n\n\nIterate through all datasets:\n\n```python\nfor dataset in jd.datasets.iter_all():\n\t\tprint( dataset.name )\n```\n\n",
"bugtrack_url": null,
"license": null,
"summary": "'Open source datasets, component of Jiku Core",
"version": "0.1.7",
"project_urls": {
"Bug Reports": "https://github.com/jiku-pro/jiku-data/issues",
"Homepage": "https://github.com/jiku-pro/jiku-data",
"Source": "https://github.com/jiku-pro/jiku-data"
},
"split_keywords": [
"datasets",
" data analysis",
" functional data analysis",
" time series analysis"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "4db80be33c78d1a7391a2c2cf722ea839c4245bcd4eb03fcb7e74f10202c8de5",
"md5": "cfe03b5edf516783de9e85498f7e0fd0",
"sha256": "2c39e3260d37acbea129a4d1e580eae5d1f8540ffd39b5b117b843e5f21d2cf4"
},
"downloads": -1,
"filename": "jiku_data-0.1.7-py3-none-any.whl",
"has_sig": false,
"md5_digest": "cfe03b5edf516783de9e85498f7e0fd0",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 19873139,
"upload_time": "2025-07-28T09:23:45",
"upload_time_iso_8601": "2025-07-28T09:23:45.754669Z",
"url": "https://files.pythonhosted.org/packages/4d/b8/0be33c78d1a7391a2c2cf722ea839c4245bcd4eb03fcb7e74f10202c8de5/jiku_data-0.1.7-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "9a5c398d014a5f45d7cd2b822fd1d9716799299cee3eae196442e83d08d63c73",
"md5": "363bc052668ee6eb246ae5c2ebe97360",
"sha256": "f243fdfe73e03d666952f21496035909760a024e41790608d5a8b8954b951471"
},
"downloads": -1,
"filename": "jiku_data-0.1.7.tar.gz",
"has_sig": false,
"md5_digest": "363bc052668ee6eb246ae5c2ebe97360",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 19964388,
"upload_time": "2025-07-28T09:23:48",
"upload_time_iso_8601": "2025-07-28T09:23:48.992717Z",
"url": "https://files.pythonhosted.org/packages/9a/5c/398d014a5f45d7cd2b822fd1d9716799299cee3eae196442e83d08d63c73/jiku_data-0.1.7.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-28 09:23:48",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "jiku-pro",
"github_project": "jiku-data",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "numpy",
"specs": []
},
{
"name": "pytest",
"specs": []
},
{
"name": "spm1d",
"specs": []
},
{
"name": "ipython",
"specs": []
},
{
"name": "tables",
"specs": []
}
],
"lcname": "jiku-data"
}