Metadata-Version: 2.4
Name: dataquick
Version: 0.1.1
Summary: A fast and easy Auto EDA library for data scientists
Home-page: https://github.com/quratalvi11-dotcom/myproject1
Author: quratalvi11-dotcom
License: MIT
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scipy
Dynamic: author
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
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# DataQuick 🚀

[![PyPI version](https://badge.fury.io/py/dataquick.svg)](https://pypi.org/project/dataquick/)
[![Python](https://img.shields.io/pypi/pyversions/dataquick)](https://pypi.org/project/dataquick/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Downloads](https://img.shields.io/pypi/dm/dataquick)](https://pypi.org/project/dataquick/)

A fast and easy Auto EDA library for data scientists.

## Features
-  Auto data analysis
-  Missing values report
-  Data cleaning
-  Auto visualizations

## Installation
```bash
pip install dataquick
```

## Usage
```python
import pandas as pd
import dataquick as dq

df = pd.read_csv("data.csv")

dq.analyze(df)      # Full analysis
dq.clean(df)        # Auto clean
dq.visualize(df)    # Auto visualize
```

## Author
Made by [quratalvi11-dotcom](https://github.com/quratalvi11-dotcom)
