Metadata-Version: 2.4
Name: datahero
Version: 0.1.0
Summary: DataHero — quick human-like insights & suggestions for pandas DataFrames
Home-page: https://www.linkedin.com/in/ganeshamoorthy-s-8466b7332
Author: Ganeshamoorthy
Author-email: Ganeshamoorthy <ganeshms110@gmail.com>
Project-URL: Homepage, https://github.com/<https://github.com/ganeshcoderun>/datahero
Project-URL: Repository, https://github.com/<https://github.com/ganeshcoderun>/datahero
Project-URL: LinkedIn, https://www.linkedin.com/in/ganeshamoorthy-s-8466b7332
Keywords: data,insights,pandas,analysis
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=1.3
Requires-Dist: numpy>=1.21
Requires-Dist: matplotlib>=3.3
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# DataHero

DataHero produces a quick, human-readable explanation of a pandas DataFrame:
summary, missing data, outliers, correlations, and suggested visualizations.

## Author
**Ganeshamoorthy**  
Email: ganeshms110@gmail.com  
LinkedIn: https://www.linkedin.com/in/ganeshamoorthy-s-8466b7332

## Quick example
```python
import pandas as pd
from datahero import explain

df = pd.read_csv("sales.csv")
report = explain(df, save_plots=True, outdir="plots")
print(report["summary"])
