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A Python package for removing outliers in dataset using the Interquartile Range technique.

Project description

Outlier Removal Project 2 UCS633

Submitted By:kunal bajaj roll no : 101703297


In statistics, an outlier is an observation point that is distant from other observations.

Interquartile Range Method is used which mean if a data point lies below lower_quartile-1.5iqr or above upper_quartile+1.5iqr then it is a outlier

Installing the package

Run the following command to install from command line:

pip install outlier-removal-101703297

In Command Prompt:

>> remove-outliers data.csv

In Python IDLE:

>>> from outlier_removal.outlier import remove_outliers
>>> new_file = pd.read_csv('input_data.csv')
>>> remove_outliers(new_file)


## Output
Will shows the removed outliers


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