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Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.

License: MIT License

Python 100.00%

exploripy's Introduction

ExploriPy

Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.

Installation Steps

pip install ExploriPy

Important Parameters

  • data : Complete Dataset, should be a Pandas DataFrame.
  • CategoricalFeatures : List of Categorical Features
  • title : Title which should appear in the top of the HTML file

Installation Steps

from ExploriPy import EDA
df = pd.read_csv('LoanPrediction.csv',na_values = 'nan')
CategoricalFeatures = ['Gender','Married','Dependents','Education','Self_Employed','Credit_History','Property_Area','Loan_Status','Loan_Amount_Term']
eda = EDA(df,CategoricalFeatures,title='Data Analysis on a Public Data')
eda.EDAToHTML()

Output

Categorical Vs Categorical

Weight Of Evidence, Information Value, Chi-Sq Test of Independence

Categorical Vs Continuous

ANOVA and PostHoc Test (Tukey HSD)

exploripy's People

Contributors

quintshekhar avatar vibish avatar

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