Outlier-removal-101883058 1.0.3

Removing outliers using IQR(Interquartile) range(25%-75%).

Outlier row removal using inter quartile range

Project 2 : UCS633

Submitted By: Pritpal Singh Pruthi 101883058

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pypi: https://pypi.org/project/topsis-ppruthi-101883058/

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IQR Interquartile range Description

Any data can be described by its five-number summary. These five numbers,consist of (in ascending order):

The minimum or lowest value of the dataset.
The first quartile Q1, which represents a quarter of the way through the list of all data.
The median of the data set, which represents the midpoint of the whole list of data.
The third quartile Q3, which represents three-quarters of the way through the list of all data.
The maximum or highest value of the data set.

Calculation of acceptable data

IQR = Q3-Q1
lower=Q1-(1.5*IQR)
upper=Q3+(1.5*IQR)

The data values present in between the lower and upper are acceptable and the rest are outliers and hence being removed.

Installation

Use the package manager pip to install removal system.

pip install Outlier-removal-101883058

How to use this package:

Outlier-removal-101883058 can be run as done below:

In Command Prompt

>> outliers students.csv 

Sample dataset

Marks	Students
3	S1
57	S2
65	S3
98	S4
43	S5
44	S6
54	S7
99	S8
1	S9

Output dataset after removal

Marks	Students
57	S2
65	S3
98	S4
43	S5
44	S6
54	S7

It is clearly visible that the rows S1,S8 and S9 have been removed from the dataset.

License

MIT