big-data-normality 0.1.6

Normality Test for Big Data

Empirical Normality Test

A normality test based on empirical rule for big data

Installation

pip install big-data-normality

Get started

How to get normality test for dataset with this lib:

# Library import
from big_data_normality.empirical_normality_test import EmpiricalNormalityTest
# Graph output
from big_data_normality.empirical_normality_test import EmpiricalNormalityTestGraph


# This line of code will allow shorter imports
from big_data_normality import EmpiricalNormalityTest
# Graph output
from big_data_normality import EmpiricalNormalityTestGraph

# Instantiate a EmpiricalNormalityTest object
"""Firstly, import the excel file, then run the library
P.S. Excel file must include name of each column. Like that;

name1	name2	name3	name4 ...
73,36	72,64	68,45	66,52 ...
78,97	67,04	60,85	70,96 ...
...     ...     ...     ...   ...

"""

import os
import pandas as pd

path = r'C:\data'
os.chdir(path)
df = pd.read_excel("my_dataset.xlsx")
# Test output
print(EmpiricalNormalityTest(df))
# Graph output
print(EmpiricalNormalityTestGraph(df))