Metadata-Version: 2.4
Name: datasetops-toolkit
Version: 0.1.0
Summary: A Python toolkit for simplifying dataset preparation and preprocessing
Author-email: Your Name <your@email.com>
License: MIT
Project-URL: Homepage, https://github.com/rajazain2001/Dataset-Ops
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scikit-learn
Requires-Dist: openpyxl

# datasetops

A Python toolkit for simplifying dataset preparation and preprocessing.

## Installation
```bash
pip install datasetops
```

## Usage
```python
from datasetops import DatasetOps

ds = DatasetOps("data.csv")

ds.summary()
ds.missing_report()
ds.remove_duplicates()
ds.normalize()
ds.encode_categorical()
ds.save_csv("clean_data.csv")
```

## Features

- Load CSV, Excel, JSON datasets
- Dataset summary and inspection
- Missing value detection and filling
- Duplicate detection and removal
- Normalization and standardization
- Categorical encoding
- Correlation analysis
- Outlier detection
- Visualization (histogram, boxplot, scatter, heatmap)
- Export to CSV and Excel
