Description:
outlierremoval101703297 1.0
Outlier Removal Project 2 UCS633
Submitted By:kunal bajaj
roll no : 101703297
pypi: https://pypi.org/project/outlier-removal-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)
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## Output
Will shows the removed outliers
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License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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