EDAPLORE (Explore EDA)

Edaplore is a Python-based project for Exploratory Data Analysis (EDA). The project aims to automate various aspects of EDA, saving time and effort while providing essential insights into the data.

Features

The main feature of this project is the generation of a comprehensive HTML report of the data. This report includes data separation, overview, comparison, and the generation of a correlation map.

Example

see here

https://mzabelin8.github.io/examples/

Getting Started

$ pip install edaplore 

git clone https://github.com/mzabelin8/edaplore.git

Here's an example of how to run the code:

import pandas as pd
from edaplore imoprt Report

data = pd.read_csv('path_to_data')
path = 'path_to_save'

R = Report(data,
           path,
           fill_mis=False,
           drop_outliers=False,
           ohe=False)

data: This is a pandas DataFrame that you want to analyze.

path: This is the path where the generated HTML report will be saved.

fill_mis: This is a boolean that indicates whether missing values should be filled. The default is False.

drop_outliers: This is a boolean that indicates whether outliers should be dropped. The default is False.

ohe: This is a boolean that indicates whether one-hot encoding should be performed. The default is False.

After running the above script, an HTML report will be generated and saved to the specified path

License

This project is licensed under the terms of the MIT license.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.