https://github.com/bitbynik/outlier_pack

UCS633 Project-2
https://github.com/bitbynik/outlier_pack

data-analysis-and-visualization outlier-removal tiet

Last synced: 3 days ago
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UCS633 Project-2

• Host: GitHub
• URL: https://github.com/bitbynik/outlier_pack
• Owner: BitByNIK
• Created: 2024-12-06T13:12:19.000Z (19 days ago)
• Default Branch: main
• Last Pushed: 2024-12-06T13:12:50.000Z (19 days ago)
• Last Synced: 2024-12-06T13:39:00.635Z (19 days ago)
• Topics: data-analysis-and-visualization, outlier-removal, tiet
• Language: Python
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# OUTLIER REMOVAL

```

PROJECT 2, UCS633 - Data Analysis and Visualization

Nikhil Gupta  

COE17

Roll number: 101703371

```

Output is the number of rows removed from the input dataset. The remaining rows of the dataset are streamed to a new csv file whose name is required as an input.

`The no of rows removed: 5`

*Note the outlier removal is performed using **IQR** method.*

## Installation

`pip install outlierpack_NG`

*Note the name has an underscore not a hyphen. If installation gives error or package is not found after installing, install as sudo.*

*Recommended - test it out in a virtual environment.* 

## To use via command line

`Outcli myData.csv newData.csv`

First argument after outcli is the input csv filename from which the dataset is extracted. The second argument is for storing the final dataset after processing.

## To use in .py script

```

from outlib.models import r_outliers

r_outliers('myData.csv', 'newData.csv')

```

*Can email me for any issues or suggestions*