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HistoBoxPlot is a Python library designed to simplify the process of creating combined visualizations of histograms and boxplots. This tool is particularly useful for statistical analysis and data exploration, providing a clear and concise way to represent the distribution, central tendency, and variability of a dataset.

License: Other

Python 100.00%

histoboxplot-opensource-library-'s Introduction

HistoBoxPlot Library Package

HistoBoxPlot is a Python package for creating combined histogram and boxplot visualizations. This tool is particularly useful for exploratory data analysis and presenting data distributions clearly and concisely.

Installation

To install HistoBoxPlot, run the following command:

pip install HistoBoxPlot

Usage Here's a simple example of how to use HistoBoxPlot:

import pandas as pd 
from HistoBoxPlot import histogram_boxplot 

## Sample DataFrame 
data = pd.DataFrame({ 
    'feature': [your data here] 
}) 

## Create the plot 
histogram_boxplot(data, 'feature') 

## Requirements 
Python 3.6 or higher 
matplotlib 
seaborn 

## Contributing 
Contributions to HistoBoxPlot are welcome! Please read the contributing guidelines. 

## License 
This project is licensed under the Apache License, Version 2.0 - see the LICENSE file for details.


## Contact 
If you have any questions or feedback, please contact me at If you have any questions or feedback, please contact me at atugharajohn@gmail.com.

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