[![Downloads](https://pepy.tech/badge/lois)](https://pepy.tech/project/lois)
[![Downloads](https://pepy.tech/badge/lois/month)](https://pepy.tech/project/lois)
[![Downloads](https://pepy.tech/badge/lois/week)](https://pepy.tech/project/lois)
# lois
The fastest and easy way to get insight of your dataset
#### Purpose of the package
+ The purpose of this package is to provide to data scientist and data analyst a faster way to get insight of their dataset .
#### Features
+ EDA Simplification
### Getting Started
The package can be found on pypi hence you can install it using pip
#### Installation
```bash
pip install lois
```
### Usage
```python
# Import packages
>>> import pandas as pd
>>> from lois import lois_ds_report
#Import your dataset
>>> data=pd.read_csv("your data path")
#Simple report with lois
>>> lois_ds_report(data,target_variable="gender", report_complexity="simple" )
#Advanced report with lois
>>> lois_ds_report(data, target_variable="gender", report_complexity="advanced")
```
### Contribution
Contribution are welcome.
Notice a bug ? let us know. Thanks you
### Author
+ Main Maitainer : Charles TCHANAKE
+ email : datadevfernolf@gmail.com
### Additionnal Note
In very large dataset lois may take time to process all the data
Raw data
{
"_id": null,
"home_page": "https://github.com/charleslf2/lois.git",
"name": "lois",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "EDA,Data analysis,Charles TCHANAKE,Automation",
"author": "Charles TCHANAKE",
"author_email": "datadevfernolf@gmail.com",
"download_url": "",
"platform": null,
"description": "[![Downloads](https://pepy.tech/badge/lois)](https://pepy.tech/project/lois)\r\n[![Downloads](https://pepy.tech/badge/lois/month)](https://pepy.tech/project/lois)\r\n[![Downloads](https://pepy.tech/badge/lois/week)](https://pepy.tech/project/lois)\r\n\r\n# lois\r\nThe fastest and easy way to get insight of your dataset\r\n\r\n#### Purpose of the package\r\n+ The purpose of this package is to provide to data scientist and data analyst a faster way to get insight of their dataset .\r\n\r\n\r\n#### Features\r\n+ EDA Simplification\r\n\r\n\r\n### Getting Started\r\nThe package can be found on pypi hence you can install it using pip\r\n\r\n#### Installation\r\n\r\n```bash\r\n\r\npip install lois\r\n\r\n```\r\n### Usage\r\n```python\r\n# Import packages\r\n>>> import pandas as pd\r\n>>> from lois import lois_ds_report\r\n#Import your dataset\r\n>>> data=pd.read_csv(\"your data path\")\r\n#Simple report with lois\r\n>>> lois_ds_report(data,target_variable=\"gender\", report_complexity=\"simple\" )\r\n#Advanced report with lois\r\n>>> lois_ds_report(data, target_variable=\"gender\", report_complexity=\"advanced\")\r\n\r\n```\r\n\r\n\r\n### Contribution\r\nContribution are welcome.\r\nNotice a bug ? let us know. Thanks you\r\n\r\n### Author\r\n+ Main Maitainer : Charles TCHANAKE\r\n+ email : datadevfernolf@gmail.com \r\n\r\n### Additionnal Note\r\n\r\nIn very large dataset lois may take time to process all the data\r\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "the fastest and easy way to get insight of your dataset",
"version": "0.5.0",
"split_keywords": [
"eda",
"data analysis",
"charles tchanake",
"automation"
],
"urls": [
{
"comment_text": "",
"digests": {
"md5": "c366323635cd9dc75ecf9c286745f0b8",
"sha256": "bd11971103d50af147302f697aedd0a9132513f027ab5b6c8eedbdf49b0b63c1"
},
"downloads": -1,
"filename": "lois-0.5.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "c366323635cd9dc75ecf9c286745f0b8",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 5464,
"upload_time": "2022-12-13T11:38:19",
"upload_time_iso_8601": "2022-12-13T11:38:19.159319Z",
"url": "https://files.pythonhosted.org/packages/69/03/db0b74854cb2d063dea62603ed478e4fdec137a31294d414e4788880fe20/lois-0.5.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2022-12-13 11:38:19",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "charleslf2",
"github_project": "lois.git",
"lcname": "lois"
}