Metadata-Version: 2.1
Name: cleansummary
Version: 0.0.3
Summary: A simple package to get statistical summary of a pandas dataframe
Home-page: UNKNOWN
Author: Francis W. Onyango
Author-email: fonyango.w@gmail.com
License: MIT
Keywords: cleansummary
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown

This is a simple package for exploring pandas dataframe to get the initial statistical summary.


## Getting Started

Installation

`pip install cleansummary`


```
from cleansummary import CleanSummary
cs = CleanSummary(df)
```

### Get proportion of missing data 

`cs.percentage_missing()`


### Get the plot and skewness coefficient of a variable
`cs.check_skewness('variable_name')`


### Get statistical summary

```
cs.get_statistical_summary(variableType=None)

cs.get_statistical_summary(variableType='categorical')

cs.get_statistical_summary(variableType='numerical')
```

Change Log
====================

0.0.3 (15/09/2023)

- Second Release

