# A python package which can be pip installed to perform statistics and visualize binomial and gaussian distributions of the dataset

### Related tags

Data Analysis GBiStat
##### Overview # GBiStat package

A python package to assist programmers with data analysis.

This package could be used to plot :

• `Binomial Distribution` of the dataset
• probability density function of the `binomial distribution`
• `Gaussian Distribution` of the dataset
• normalized histogram of the data and probability density function of the `gaussian distribution` along the same range

Various mathematical operations can also be done:

### Gaussian Distribution:

• mean
• standard deviation
• probability density function
• characteristics of gaussian instance

### Binomial Distribution:

• mean
• standard deviation
• calculate p and n of the dataset
• probability density function
• add 2 binomial distributions with equal p
• characteristics of binomial instance

# Files

## init.py

used to call the Gaussian and Binomial functions directly.

## BinomialDistribution.py

Used to read the file containing the data and perform all the statistical operations related to the binomial distribution:

• mean
• standard deviation
• calculate p and n of the dataset
• probability density function
• add 2 binomial distributions with equal p
• characteristics of binomial instance
• plot histogram of the instance variable data
• plot probability density function

## Gaussian Distribution.py

Used to read the file containing the data and perform all the statistical operations related to the gaussian distribution:

• standard deviation
• probability density function
• characteristics of gaussian instance
• plot histogram of instance variable data
• plot probability density function
• plot the normalized histogram of the data and a plot of the probability density function along the same range

## setup.cfg

a configuration file for the users to edit to override the original setup file if necessary.

# Installation

``````pip install GBiStat
``````

You can check the package by clicking here

## Author

• Rishikesh Sivakumar
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###### Rishikesh S
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