Metadata-Version: 2.1
Name: data-inspector
Version: 1.5.3
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
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
Requires-Dist: pandas (==1.1.2)
Requires-Dist: matplotlib (==3.1.2)
Requires-Dist: numpy (==1.18.5)
Requires-Dist: seaborn (==0.11.1)
Requires-Dist: scipy (==1.6.2)

# 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



