Metadata-Version: 2.1
Name: data_inspector
Version: 1.5.4
Summary: This module brings different functions to make EDA, data cleaning easier.
Home-page: https://github.com/AmitHasanShuvo/data-inspector
Author: Kazi Amit Hasan
Author-email: kaziamithasan89@gmail.com
License: UNKNOWN
Description: # Data Inspector 
        ![Author](https://img.shields.io/badge/author-AmitHasanShuvo-orange)
        [![MIT](https://img.shields.io/badge/license-MIT-5eba00.svg)](https://github.com/AmitHasanShuvo/data-inspector/blob/main/LICENCE.txt)
        [![Contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/AmitHasanShuvo/data-inspector)
        [![Stars](https://img.shields.io/github/stars/AmitHasanShuvo/data-inspector.svg?style=social)](https://github.com/AmitHasanShuvo/data-inspector/stargazers)
        
        Data Inspector is an open-source python library that brings 15 types of different functions to make EDA, data cleaning easier.
        
        
        ## Author: Kazi Amit Hasan
        
        
        ## Project Description: 
        
        Data Inspector brings a total of 15 essential exploratory data analysis, data cleaning automations to make a dataset understandable. This is a perfect tool to get started with you data. 
        
        [![Downloads](https://static.pepy.tech/personalized-badge/data-inspector?period=total&units=international_system&left_color=black&right_color=brightgreen&left_text=Downloads)](https://pepy.tech/project/data-inspector)
        
        ## Installation:
        
        ```pip install data-inspector```
        
        Package available at https://pypi.org/project/data-inspector/
        
        
        ### Available automation:
        
        
        1. Line plot : ```line_plot(data, x_data, y_data, x_label="", y_label="", title="")```
        2. Skew feature: ```plot_skewed_feature(data, column)```
        3. Showing data distribution: ```show_distribution(data, column)```
        4. Scatter plot: ```plot_scatter(data,x_data, y_data)```
        5. Correlation plot: ```plot_correlation(data)```
        6. Create histogram: ```histogram(data,column, x_label, y_label, title)```
        7. Create bar plot: ```plot_bar(data, column, xlabel, ylabel, title)```
        8. Create boxplots of all features: ```box_plot(data)```
        9. Checking dataset's shape: ```datasetShape(data)```
        10. Get dataset's diagnostic plots: ```diagnostic_plots(data, variable)```
        11. Divide numerical and categorical features: ```divideFeatures(data)```
        12. Fill NaN values: ```fillNan(data, column, value)```
        13. Get pearson's correlation between two variables: ```get_correlation(column_1, column_2, data)```
        14. Plotting kde plots:``` plot_cont_kde(data, var)``` 
        15. Automatic calculating the missing values and their percentage along with visualization : ```calculating_missing_values(data)```
        
        
        
        ### Tutorial: 
        Link: https://github.com/AmitHasanShuvo/data-inspector/blob/main/notebook/example%20notebook.ipynb 
        <br>
        Colab link: https://colab.research.google.com/drive/1mj9gz2XyQprSYdKMUKlKkJ9Qi8XmleHW?usp=sharing
        
        
        ### Some visualizations:
        
        Available at: https://github.com/AmitHasanShuvo/data-inspector
        
        ### How to cite:
          ```bibtex
        @online{data-inspector,
          title={data-inspector},
          url={https://pypi.org/project/data-inspector/},
          urldate = {2021-08-21}, 
          publisher={Kazi Amit Hasan}
        }
        ```
        
        ### Future Works:
        1. Add some automations for time series data.
        
        ### How to contribute:
        Any contribution would be highly appreciated. Kindly go through the guidelines for contributing in github.
        
        
        
        
        Change Log
        ==========
        
        0.0.1 (20/08/2021)
        ------------------
        - First Release
        
        0.0.2 (20/08/2021)
        ------------------
        - Minor updates
        
        0.0.3 (20/08/2021)
        ------------------
        - Minor updates
        
        0.0.4 (20/08/2021)
        ------------------
        - Minor updates
        
        0.0.5 (20/08/2021)
        ------------------
        - Minor updates
        
        0.0.6 (20/08/2021)
        ------------------
        - Minor updates
        
        0.0.8 (21/08/2021)
        ------------------
        - Minor updates
        
        1.1 (21/08/2021)
        ------------------
        - Minor updates
        
        1.5.4 (29/08/2021)
        ------------------
        - Regression plot functions added
        
Keywords: eda
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
