Metadata-Version: 2.1
Name: RapidEDA
Version: 0.1
Summary: Rapid Automated Exploratory Data Analysis for any dataset.
Home-page: https://github.com/devashrichaudhari/RapidEDA.git
Author: Devashri Chaudhari
Author-email: devashrichaudhari@gmail.com
License: MIT
Download-URL: https://github.com/devashrichaudhari/RapidEDA/archive/refs/tags/v.01.tar.gz
Keywords: EDA,AutoEDA,automated eda
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# Rapid_EDA
A Python package for Automated Exploratory Data Analysis for Machine Learning in python.

### Automated EDA for Machine Learning
It gives shape,summary, number of categorical and numerical features, description of the dataset, and also the information about the number of null values.

### Installation
```sh
pip install RapidEDA
```
### Get Started
Load the module
```sh
from RapidEDA.eda import eda, eda_report
```
### Automated Report Generation for Machine Learning
Report contains sample of data, shape, number of numerical and categorical features, data uniqueness information, description of data, and null information.

```sh
df = sns.load_dataset('tips')
report = eda_report(df)
```

## License

MIT


